{"meta":{"query_hash":"4e2ee8ba2cbf","filters":{"topic":"Semantic Web and Ontologies"},"cohort_total":1983,"direct_labels_cover":1,"predictions_cover":1983,"exported":1983,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/4e2ee8ba2cbf","api":"https://metacan.xera.ac/api/v1/cohort?topic=Semantic+Web+and+Ontologies"},"results":[{"id":"W100959335","doi":"","title":"Proceedings of the ACM first Ph.D. workshop in CIKM","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Question answering; Work (physics); Database; Information retrieval","score_opus":0.023984182093503337,"score_gpt":0.25732458956801485,"score_spread":0.2333404074745115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W100959335","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012902105,0.11632382,0.12661688,0.20895487,0.23292086,0.0023411906,0.010344803,0.008591,0.28100458],"genre_scores_gemma":[0.055960692,0.0674514,0.11876691,0.021968924,0.054560084,0.0020890029,0.03384285,0.005545134,0.639815],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98757535,0.004793479,0.0009932778,0.0014625532,0.0040741866,0.0011011047],"domain_scores_gemma":[0.98056555,0.004423358,0.0004890081,0.0026200556,0.0061241756,0.005777876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020762179,0.0023312634,0.0024860257,0.0031536121,0.0031947827,0.013651994,0.00470389,0.00504483,0.0742148],"category_scores_gemma":[0.019487115,0.0009546476,0.002179631,0.0028922546,0.0027302746,0.010535909,0.006585768,0.008332633,0.04085405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012099255,0.00012453171,0.0003116235,0.00023640622,0.000021487813,0.00009833557,0.00034245683,0.00029441438,0.00046997552,0.0057664104,0.9035897,0.08862364],"study_design_scores_gemma":[0.000033079414,0.00007702175,0.00077420427,0.00027303695,0.000018747656,0.0001704759,0.00038950844,0.0011205012,0.00046576973,0.00513593,0.99151003,0.00003176348],"about_ca_topic_score_codex":0.008618293,"about_ca_topic_score_gemma":0.009204438,"teacher_disagreement_score":0.0742148,"about_ca_system_score_codex":0.005296677,"about_ca_system_score_gemma":0.008287455,"threshold_uncertainty_score":0.24827325},"labels":[],"label_agreement":null},{"id":"W1010697855","doi":"10.2991/978-94-6239-030-0_3","title":"Representing Procedural Knowledge","year":2014,"lang":"en","type":"book-chapter","venue":"Atlantis thinking machines","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pyrogenesis (Canada)","funders":"","keywords":"Computer science; Procedural knowledge; Process (computing); Artificial intelligence; Representation (politics); Natural language processing; Knowledge-based systems; Programming language; Political science","score_opus":0.019939779388949423,"score_gpt":0.25806717189023726,"score_spread":0.23812739250128784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1010697855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004097234,0.0014831006,0.7948402,0.00225546,0.00033907013,0.00007968506,0.00041759812,0.0016951517,0.19479255],"genre_scores_gemma":[0.2169095,0.0039664516,0.66361624,0.00190211,0.00043060246,0.00043758794,0.002335039,0.0015156065,0.10888676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990947,0.00026035027,0.000058503192,0.00020760577,0.00027937343,0.000099470984],"domain_scores_gemma":[0.9990095,0.00041905197,0.000048512073,0.0003569945,0.00012485973,0.000041196126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013637566,0.00081078085,0.00057960564,0.0015173322,0.0014437586,0.009531647,0.0022916365,0.0015546881,0.01752373],"category_scores_gemma":[0.0033301108,0.0005865048,0.0011965835,0.0019710315,0.005906817,0.013147583,0.0035230215,0.0035094449,0.005050381],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006348013,0.000006859474,0.000032967167,0.000053692467,0.0000053569897,0.000039499755,0.00056680565,0.000705784,0.00054110767,0.97413856,0.0027077626,0.021195304],"study_design_scores_gemma":[0.000005270689,0.00000698139,0.00006457091,0.000071583236,0.000010651806,0.00007986685,0.00016701844,0.0040250598,0.0018149384,0.80517757,0.1885621,0.000014371557],"about_ca_topic_score_codex":0.0032036144,"about_ca_topic_score_gemma":0.0031601738,"teacher_disagreement_score":0.01752373,"about_ca_system_score_codex":0.0018430934,"about_ca_system_score_gemma":0.0012334954,"threshold_uncertainty_score":0.058622718},"labels":[],"label_agreement":null},{"id":"W101728819","doi":"","title":"Yaanii: Effective Keyword Search over Semantic Dataset.","year":2010,"lang":"en","type":"book-chapter","venue":"Iris (Roma Tre University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; RDF; Semantic search; Cluster analysis; Keyword search; Graph; XML; Relevance (law); Ranking (information retrieval); Data mining; Semantic Web; Artificial intelligence; World Wide Web; Theoretical computer science","score_opus":0.016184675788658776,"score_gpt":0.2175283328546492,"score_spread":0.20134365706599042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W101728819","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020336434,0.009994756,0.8029421,0.0017828144,0.00052153965,0.0011557203,0.059496485,0.08402481,0.019745348],"genre_scores_gemma":[0.06332892,0.00227734,0.8647503,0.00039044514,0.000116772724,0.00074021256,0.061423756,0.0013058116,0.005666386],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980724,0.00044301752,0.0001945315,0.00033538608,0.00085811113,0.000096575895],"domain_scores_gemma":[0.9983254,0.0007908252,0.00012007685,0.0004183459,0.00026671126,0.000078650075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021577082,0.0013039134,0.0015339069,0.0073421695,0.0009492212,0.0023012299,0.0018960626,0.0011307584,0.0073457817],"category_scores_gemma":[0.007112304,0.00055709766,0.0010354961,0.009312599,0.00043525593,0.0061603677,0.0026263613,0.0010486312,0.006209217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008092457,0.00017941919,0.0024711606,0.00200079,0.00026944594,0.0002371821,0.0003387105,0.007508474,0.018881813,0.032330755,0.17320237,0.76177067],"study_design_scores_gemma":[0.0003263867,0.0003528032,0.0058775693,0.00035045377,0.00016928618,0.00177461,0.000838901,0.4674247,0.04519629,0.1314564,0.3460575,0.0001750935],"about_ca_topic_score_codex":0.0025454925,"about_ca_topic_score_gemma":0.0043620463,"teacher_disagreement_score":0.0073457817,"about_ca_system_score_codex":0.0010667635,"about_ca_system_score_gemma":0.0018430909,"threshold_uncertainty_score":0.02457416},"labels":[],"label_agreement":null},{"id":"W1034544483","doi":"","title":"Linked Closed Data Using PKI: A Case Study on Publishing and Consuming data in a Forensic Process","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Linked data; Data anonymization; Computer security; Confidentiality; Public key infrastructure; Exploit; Compromise; Internet privacy; World Wide Web; Data access; Publication; Open data; Data Protection Act 1998; Identifier; Information privacy; Database; Public-key cryptography; Law; Political science","score_opus":0.234682948542529,"score_gpt":0.37782615680919823,"score_spread":0.14314320826666924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1034544483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72806525,0.0037946145,0.09931359,0.031380605,0.00047266096,0.00120348,0.0012007171,0.0006975664,0.1338714],"genre_scores_gemma":[0.89036113,0.004047294,0.06188593,0.0027902247,0.0002563705,0.0004686001,0.0007925188,0.00053208845,0.03886591],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96866745,0.019807499,0.0017665607,0.0016393268,0.0065289834,0.0015901694],"domain_scores_gemma":[0.94547695,0.04077601,0.0031624055,0.005859927,0.0026576668,0.002067061],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.017383873,0.0007267268,0.0007783819,0.0044880053,0.016572345,0.012811911,0.00425853,0.011545545,0.0067656646],"category_scores_gemma":[0.045615554,0.0007244463,0.0013480374,0.009221721,0.011189986,0.016113508,0.00849672,0.005651861,0.0021130152],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038580917,0.0011176376,0.02120304,0.0012319481,0.00009921618,0.15371725,0.46326765,0.004414165,0.003796409,0.23466976,0.018796083,0.09730103],"study_design_scores_gemma":[0.000083708794,0.00033767574,0.0065470045,0.0014509864,0.000120583776,0.054578602,0.3480483,0.0075919386,0.010447195,0.047050517,0.5235432,0.00020034444],"about_ca_topic_score_codex":0.007269444,"about_ca_topic_score_gemma":0.008732571,"teacher_disagreement_score":0.9871881,"about_ca_system_score_codex":0.0052263644,"about_ca_system_score_gemma":0.0047990344,"threshold_uncertainty_score":0.09193581},"labels":[],"label_agreement":null},{"id":"W104029305","doi":"10.1007/978-3-642-39229-0_19","title":"Of Hoverboards and Hypertext","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"HTML5; Hypertext; Computer science; World Wide Web; Realization (probability); Software; Multimedia; Programming language","score_opus":0.016798662359568776,"score_gpt":0.2281809088994076,"score_spread":0.2113822465398388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W104029305","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025624156,0.029107435,0.34643537,0.0066325683,0.00186231,0.00006796725,0.0005919614,0.0009935569,0.5886847],"genre_scores_gemma":[0.5900936,0.016213225,0.09884538,0.0010576607,0.0016421722,0.00022394252,0.0016089162,0.00056785846,0.28974718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994248,0.00023254876,0.000029206936,0.00014758344,0.00010365438,0.000062220424],"domain_scores_gemma":[0.9989242,0.00051563623,0.000065713386,0.00029912882,0.00011926311,0.000075937765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055157836,0.0008379003,0.00058313675,0.0014155976,0.0017900484,0.00587444,0.0010594699,0.0020452617,0.034967836],"category_scores_gemma":[0.002987316,0.00052165915,0.00056876236,0.002582901,0.004197043,0.014377788,0.0023861544,0.00195797,0.003379486],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014620807,0.0000075254075,0.0000943422,0.00005825956,0.0000051006887,0.00005377856,0.00034401458,0.00062288536,0.00015772968,0.96126646,0.00664503,0.030730225],"study_design_scores_gemma":[0.000005454689,0.0000070782794,0.00012570768,0.000058044574,0.0000069169428,0.00011518073,0.0002354988,0.0022618785,0.00020726127,0.93269193,0.06427769,0.000007298812],"about_ca_topic_score_codex":0.0028922036,"about_ca_topic_score_gemma":0.0024103422,"teacher_disagreement_score":0.034967836,"about_ca_system_score_codex":0.00090797007,"about_ca_system_score_gemma":0.00053822075,"threshold_uncertainty_score":0.11697906},"labels":[],"label_agreement":null},{"id":"W104247996","doi":"","title":"Describing chemical functional groups in OWL-DL for the classification of chemical compounds","year":2007,"lang":"en","type":"article","venue":"Research Publications (Maastricht University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ontology; Semantics (computer science); Computer science; Web Ontology Language; Domain (mathematical analysis); Artificial intelligence; Programming language; Mathematics; Semantic Web","score_opus":0.21248883810020444,"score_gpt":0.32675192778767687,"score_spread":0.11426308968747242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W104247996","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057883346,0.00047350608,0.971321,0.001529911,0.0002585206,0.00059904286,0.0063055414,0.003829146,0.009895093],"genre_scores_gemma":[0.05401271,0.00076695706,0.92757636,0.0011510097,0.00008147233,0.0006919163,0.011034254,0.00057086145,0.004114544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978108,0.0005189278,0.00053214305,0.00020359625,0.0007721472,0.00016246263],"domain_scores_gemma":[0.9975707,0.000821929,0.00025134085,0.00068682927,0.0005207447,0.00014839113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004121347,0.0009415828,0.00089772546,0.0026195715,0.0013380507,0.0031230338,0.0026272146,0.001470686,0.0038921414],"category_scores_gemma":[0.0046063177,0.0006356345,0.002095825,0.0030584186,0.0013339352,0.0051702466,0.0022005665,0.0028682468,0.0021008602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012545162,0.0003801568,0.0019351927,0.0012054427,0.00017848251,0.0015069153,0.001563358,0.024632968,0.016432898,0.7550677,0.04244162,0.15452993],"study_design_scores_gemma":[0.000121986246,0.00005632913,0.00069499173,0.0005030472,0.00016608444,0.0009908199,0.0006310119,0.15142755,0.013582133,0.35873252,0.47299144,0.00010211674],"about_ca_topic_score_codex":0.012793348,"about_ca_topic_score_gemma":0.017369006,"teacher_disagreement_score":0.012793348,"about_ca_system_score_codex":0.0025999176,"about_ca_system_score_gemma":0.0038950855,"threshold_uncertainty_score":0.025437772},"labels":[],"label_agreement":null},{"id":"W105201579","doi":"","title":"Ontology-learning Supported Sematic Search Using Cooperative Agents.","year":2008,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Ontology; Information retrieval; World Wide Web; Knowledge management; Natural language processing","score_opus":0.03193573258313472,"score_gpt":0.2533816976421333,"score_spread":0.22144596505899858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W105201579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07819218,0.00042122643,0.90102273,0.00048388474,0.00011029487,0.0003374637,0.00031685218,0.00465964,0.014455737],"genre_scores_gemma":[0.6041478,0.00017057556,0.3878013,0.00018934422,0.000031553907,0.00026263233,0.0007151738,0.00020131208,0.0064804587],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984921,0.0006641309,0.00010689782,0.0002179094,0.00039432035,0.00012457484],"domain_scores_gemma":[0.99673563,0.0018388514,0.00013081514,0.00056768314,0.00058558217,0.00014140793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021788816,0.0004795081,0.00096757995,0.001443151,0.0011522487,0.0017265436,0.0018803781,0.001756891,0.004039288],"category_scores_gemma":[0.010724159,0.00030503818,0.0005482304,0.0014738601,0.0006752695,0.0040120953,0.0030488984,0.0010173018,0.0015327397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013322965,0.0014839408,0.0043852865,0.0004092703,0.00025363892,0.0005360005,0.0017370306,0.12683038,0.019103521,0.06663989,0.016781772,0.76050705],"study_design_scores_gemma":[0.00011247418,0.00010473363,0.00046993588,0.000024281046,0.00006403661,0.00011757195,0.0005087616,0.939724,0.009820779,0.04239168,0.006637582,0.000024130422],"about_ca_topic_score_codex":0.0051154466,"about_ca_topic_score_gemma":0.008915288,"teacher_disagreement_score":0.0051154466,"about_ca_system_score_codex":0.00061282614,"about_ca_system_score_gemma":0.0018028052,"threshold_uncertainty_score":0.01351279},"labels":[],"label_agreement":null},{"id":"W10606104","doi":"10.1007/978-94-015-9405-9_3","title":"The Intranet as Infrastructure for Knowledge Work","year":2000,"lang":"en","type":"book-chapter","venue":"Information science and knowledge management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Intranet; Knowledge management; Bridging (networking); Work (physics); Organizational learning; Business; Public relations; Computer science; Engineering; Political science; World Wide Web; The Internet; Computer security","score_opus":0.013459712327170355,"score_gpt":0.24948763039380284,"score_spread":0.23602791806663248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10606104","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008896067,0.015079546,0.14760622,0.009591168,0.00098962,0.0000853811,0.00032164188,0.0014528532,0.81597745],"genre_scores_gemma":[0.39526612,0.031507395,0.19474496,0.0024916746,0.0014884834,0.000407439,0.0018818973,0.0012383745,0.37097365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989374,0.00039311152,0.00007063645,0.00016440345,0.00029734295,0.00013710638],"domain_scores_gemma":[0.99867636,0.00048538437,0.00006645135,0.00046312832,0.0001431329,0.00016562795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014654023,0.0003874235,0.0004804923,0.0023647086,0.0024896185,0.013193916,0.0017558794,0.0028909252,0.01555039],"category_scores_gemma":[0.0019888964,0.00066749,0.0004472675,0.0042802566,0.004602528,0.029282743,0.0050959126,0.00274196,0.0055695656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011184806,0.000021624614,0.000109373505,0.000054348515,0.000004238449,0.000059533322,0.0005156719,0.00047882446,0.00020832008,0.95343715,0.011680317,0.03341931],"study_design_scores_gemma":[0.000009232547,0.000011530124,0.00017470881,0.00016107186,0.000012855817,0.00021405671,0.00052057614,0.0032397797,0.0004475693,0.64521325,0.3499838,0.000011527639],"about_ca_topic_score_codex":0.0031518945,"about_ca_topic_score_gemma":0.0036290868,"teacher_disagreement_score":0.01555039,"about_ca_system_score_codex":0.002056608,"about_ca_system_score_gemma":0.0029276395,"threshold_uncertainty_score":0.052021265},"labels":[],"label_agreement":null},{"id":"W106398922","doi":"","title":"Logic for Modeling Product Structure","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Systems Modeling Language; Axiom; Computer science; Formalism (music); Type theory; Theoretical computer science; Model theory; Class diagram; Algebra over a field; Type (biology); Mathematics; Programming language; Discrete mathematics; Pure mathematics; Unified Modeling Language; Software","score_opus":0.03165802256040806,"score_gpt":0.27251007863666654,"score_spread":0.24085205607625848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W106398922","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027666125,0.0017504642,0.95130724,0.001344818,0.00022012493,0.00011734767,0.0010931151,0.00095164153,0.040448714],"genre_scores_gemma":[0.1758455,0.0033481421,0.77323425,0.0009695569,0.000394055,0.0007480004,0.003778886,0.00042158065,0.041260075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998615,0.0004394538,0.00015218406,0.00027554526,0.00041807792,0.00009972947],"domain_scores_gemma":[0.999138,0.00037483947,0.00012290015,0.00015823294,0.00016308119,0.000042876345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017629839,0.0010649601,0.0006505964,0.0023862987,0.0010243967,0.00462535,0.001797385,0.0014498596,0.013987294],"category_scores_gemma":[0.0025235454,0.000666385,0.002248826,0.0031894266,0.0023226717,0.0069023315,0.0017757643,0.0026497913,0.0038836442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014046563,0.000015472762,0.00015436999,0.000086824184,0.00001410302,0.00015686364,0.00012034909,0.008773044,0.00033093934,0.97257227,0.0028394733,0.014922311],"study_design_scores_gemma":[0.000029129995,0.00002230175,0.00009953412,0.00009873995,0.00002767138,0.00020759595,0.00008635139,0.07377685,0.00065347296,0.8293381,0.095642634,0.000017527529],"about_ca_topic_score_codex":0.0058472487,"about_ca_topic_score_gemma":0.0047741733,"teacher_disagreement_score":0.013987294,"about_ca_system_score_codex":0.0025399788,"about_ca_system_score_gemma":0.0014677654,"threshold_uncertainty_score":0.04679221},"labels":[],"label_agreement":null},{"id":"W106704742","doi":"","title":"Performance Analysis of a Deductive Database with a Semantic Web Reasoning Engine: ConceptBase and Racer.","year":2009,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Knowledge base; Deductive reasoning; Semantic Web; Model-based reasoning; Reasoning system; Deductive database; Open Knowledge Base Connectivity; Knowledge engineering; Knowledge representation and reasoning; Knowledge-based systems; Opportunistic reasoning; Construct (python library); Scalability; Class (philosophy); Knowledge integration; Information retrieval; Database; Knowledge management; Artificial intelligence; Personal knowledge management; Programming language; Organizational learning","score_opus":0.005659399124830447,"score_gpt":0.20762268833404357,"score_spread":0.20196328920921314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W106704742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9186779,0.00600559,0.04614979,0.0012264758,0.00043576554,0.00058017526,0.0020729485,0.012349211,0.012502116],"genre_scores_gemma":[0.92460626,0.0009925731,0.065263204,0.00019264969,0.00009303438,0.00016827916,0.004767501,0.0003834804,0.003532949],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.988089,0.0037692082,0.0009906554,0.0016247303,0.0048151636,0.00071133167],"domain_scores_gemma":[0.97331154,0.017364437,0.00076202315,0.0024173781,0.005252026,0.0008926336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010416874,0.0012771958,0.0015316439,0.0021813915,0.0013608594,0.0032070226,0.0032677131,0.0017359904,0.0037918175],"category_scores_gemma":[0.025588363,0.00068448833,0.00063081254,0.003033611,0.00077895884,0.0056147976,0.0013968718,0.0010559955,0.0017383794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.023178048,0.004546883,0.045853294,0.0027270878,0.0021225887,0.0012161727,0.001810836,0.19622909,0.068657055,0.015119075,0.043588467,0.59495145],"study_design_scores_gemma":[0.00078813836,0.0029008442,0.016100777,0.00006634413,0.0005481345,0.00062822027,0.0005522853,0.91222346,0.057198107,0.0022870605,0.0065530576,0.00015352227],"about_ca_topic_score_codex":0.026547136,"about_ca_topic_score_gemma":0.009045142,"teacher_disagreement_score":0.026547136,"about_ca_system_score_codex":0.0029657404,"about_ca_system_score_gemma":0.0023961642,"threshold_uncertainty_score":0.055090368},"labels":[],"label_agreement":null},{"id":"W10716591","doi":"10.1007/978-3-642-41501-2_33","title":"A Reference Architecture for an Enterprise Knowledge Infrastructure","year":2013,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Enterprise architecture; Architecture; Knowledge management; Business; Computer science; Process management; Geography; Archaeology","score_opus":0.013183987046656938,"score_gpt":0.27339177567268796,"score_spread":0.260207788626031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10716591","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00448077,0.00064286304,0.94285476,0.0025562218,0.00030266677,0.00027586208,0.000424494,0.005706368,0.042756014],"genre_scores_gemma":[0.06262711,0.0012511142,0.89124817,0.0005326422,0.00012597904,0.0003985092,0.0027183266,0.0012523222,0.0398459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99726117,0.0006151307,0.0004687261,0.000541518,0.00084162963,0.00027179654],"domain_scores_gemma":[0.99692506,0.00038693883,0.00012740167,0.001109152,0.0011864541,0.00026503176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047392226,0.00082430575,0.0010100565,0.0040892637,0.0036615576,0.01095643,0.004969304,0.005255841,0.011790881],"category_scores_gemma":[0.007430345,0.0012609132,0.001387555,0.005937705,0.0028366973,0.015432042,0.0063172854,0.0035786119,0.007634117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037734946,0.00005144796,0.00026445725,0.00016919358,0.000024713787,0.00026544146,0.0013839164,0.006707495,0.0024947904,0.8864084,0.018297967,0.08389442],"study_design_scores_gemma":[0.000037943428,0.000077314435,0.00040168557,0.000433497,0.000120975244,0.00054583827,0.0007808224,0.07402981,0.0053224135,0.38322964,0.53491473,0.000105402134],"about_ca_topic_score_codex":0.02408353,"about_ca_topic_score_gemma":0.022810852,"teacher_disagreement_score":0.02408353,"about_ca_system_score_codex":0.0039295554,"about_ca_system_score_gemma":0.007383513,"threshold_uncertainty_score":0.04788667},"labels":[],"label_agreement":null},{"id":"W107420667","doi":"","title":"TIM Series: Open APIs, Mashups and User Innovation","year":2008,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mashup; Series (stratigraphy); Computer science; World Wide Web; Biology; Web service; Web 2.0; Paleontology","score_opus":0.04033375406880308,"score_gpt":0.2616445958860088,"score_spread":0.22131084181720573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W107420667","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011798166,0.022017593,0.42729306,0.03915837,0.0621136,0.00064078794,0.013317685,0.04082999,0.38283074],"genre_scores_gemma":[0.041623395,0.017983947,0.08342181,0.0031622879,0.037397303,0.0007436733,0.027246188,0.017406838,0.7710145],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966884,0.0005533005,0.00015357275,0.00041331263,0.0017518784,0.00043949386],"domain_scores_gemma":[0.9932181,0.0022615565,0.0003436154,0.0012383162,0.0013634189,0.0015750475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060504805,0.0018317393,0.001389192,0.0057433886,0.0019220655,0.0073678754,0.0030501294,0.0026937157,0.10220861],"category_scores_gemma":[0.009182398,0.00096474146,0.0009258642,0.0077040666,0.0013477383,0.014718266,0.003556066,0.0044994797,0.03399341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015236068,0.00015321469,0.00022943113,0.00028324156,0.000019353296,0.00010384894,0.00029211584,0.000697271,0.0020685294,0.054201316,0.74680716,0.19499217],"study_design_scores_gemma":[0.00004065752,0.00010043408,0.0006949409,0.00013022509,0.000025448599,0.0003125478,0.00023782463,0.006312312,0.005273415,0.03229558,0.9545253,0.00005135594],"about_ca_topic_score_codex":0.0024943324,"about_ca_topic_score_gemma":0.004536457,"teacher_disagreement_score":0.10220861,"about_ca_system_score_codex":0.002551819,"about_ca_system_score_gemma":0.002683649,"threshold_uncertainty_score":0.34192187},"labels":[],"label_agreement":null},{"id":"W107486347","doi":"","title":"A Survey of Cognitive Theories to Support Data Integration","year":2011,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Schema matching; Computer science; Data integration; Schema (genetic algorithms); Heuristics; Conceptual schema; Matching (statistics); Data science; Business intelligence; Schema migration; Knowledge management; Database schema; Data mining; Information retrieval; Recall; Semi-structured model; Database design; Psychology","score_opus":0.09571183727510932,"score_gpt":0.3054713962991922,"score_spread":0.20975955902408286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W107486347","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020174539,0.49885955,0.26649934,0.029816782,0.0012398129,0.00025981263,0.00089743634,0.0005247533,0.18172796],"genre_scores_gemma":[0.30245137,0.51235545,0.16187605,0.006671886,0.0027806775,0.0006417327,0.0016874496,0.00015149276,0.01138383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982101,0.00052041886,0.00018690714,0.0002627719,0.0007088883,0.00011092622],"domain_scores_gemma":[0.9931288,0.005059295,0.0003777226,0.0004755833,0.00080141606,0.00015731127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029808842,0.001282201,0.001062197,0.007583565,0.001904633,0.0061746277,0.0028431679,0.002458013,0.00684115],"category_scores_gemma":[0.009190532,0.00069457386,0.0017104107,0.010190708,0.00437892,0.011357564,0.0022026624,0.002700669,0.0012643852],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046577283,0.00014893377,0.0037083721,0.0031569416,0.00017218474,0.0002992696,0.0019330223,0.0029704534,0.0002974657,0.7318516,0.009337814,0.24607746],"study_design_scores_gemma":[0.000019622614,0.000034905108,0.0027295547,0.002183502,0.00010510717,0.00066773023,0.0012460034,0.0067248424,0.00032963124,0.84414864,0.1417467,0.00006374471],"about_ca_topic_score_codex":0.0053505395,"about_ca_topic_score_gemma":0.0042306334,"teacher_disagreement_score":0.007583565,"about_ca_system_score_codex":0.0037623725,"about_ca_system_score_gemma":0.0029136504,"threshold_uncertainty_score":0.027298093},"labels":[],"label_agreement":null},{"id":"W107501309","doi":"","title":"Towards semantic data analysis","year":2013,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Ontology; Semantic analysis (machine learning); Intelligence analysis; Business intelligence; Data science; Semantics (computer science); Set (abstract data type); Information retrieval; Semantic technology; Semantic Web; Semantic computing; Data mining; Programming language","score_opus":0.23095177272041337,"score_gpt":0.44140595525333537,"score_spread":0.210454182532922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W107501309","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000809622,0.00083402987,0.9883829,0.0045764833,0.0002199825,0.000103033635,0.00019238701,0.0006043576,0.004277149],"genre_scores_gemma":[0.01913743,0.0018961583,0.9731714,0.0017751631,0.00032000538,0.00026306938,0.0010849057,0.0003270079,0.0020247775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97411907,0.012595784,0.002242932,0.0027761394,0.0075627337,0.00070333685],"domain_scores_gemma":[0.96931726,0.012911471,0.0009536965,0.009374029,0.0065847905,0.000858753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031904776,0.0019848128,0.0018990898,0.0098987175,0.0030632785,0.015424298,0.00370448,0.004303679,0.0035668975],"category_scores_gemma":[0.037717395,0.0016182362,0.004763548,0.0063925143,0.011452903,0.022834325,0.013039477,0.011278978,0.0026904522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031837684,0.00006958779,0.0004565488,0.00033461442,0.00007899315,0.00016894336,0.0014780095,0.0030620631,0.001282691,0.928168,0.0065231784,0.05834544],"study_design_scores_gemma":[0.000010218531,0.000011665701,0.00009924142,0.00022332536,0.000021751168,0.00008973115,0.0005541527,0.014016549,0.0010908279,0.9068228,0.07703489,0.000024793184],"about_ca_topic_score_codex":0.0036722545,"about_ca_topic_score_gemma":0.002673835,"teacher_disagreement_score":0.031904776,"about_ca_system_score_codex":0.00383242,"about_ca_system_score_gemma":0.008864025,"threshold_uncertainty_score":0.16873056},"labels":[],"label_agreement":null},{"id":"W109312419","doi":"","title":"Retrospective on Clio: Schema Mapping and Data Exchange in Practice.","year":2007,"lang":"en","type":"article","venue":"Description Logics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"IBM; Computer science; Schema (genetic algorithms); Research center; Library science; Data science; Operations research; Information retrieval; Political science; Engineering","score_opus":0.13120902307400858,"score_gpt":0.33331048838306315,"score_spread":0.20210146530905457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W109312419","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060317726,0.10898133,0.3944218,0.1911949,0.013352713,0.00054758333,0.0021391036,0.0028025894,0.28052816],"genre_scores_gemma":[0.12271846,0.14982563,0.31205505,0.06489588,0.016167212,0.0012589638,0.007949714,0.0049825334,0.3201466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922391,0.0042028027,0.0004574884,0.0009886576,0.0015748071,0.00053708674],"domain_scores_gemma":[0.98133105,0.011726119,0.0005920683,0.0026176085,0.0027586997,0.0009744228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018603815,0.0009367794,0.00059789384,0.0043633287,0.0025306898,0.009283986,0.0023319966,0.0036676181,0.026055405],"category_scores_gemma":[0.024255503,0.0008646832,0.0008068094,0.008094832,0.007746951,0.023178337,0.005965266,0.006784834,0.0064958506],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008090772,0.000081169404,0.0007231073,0.00041655017,0.00002946042,0.00013546289,0.0035528173,0.0010728191,0.00060734636,0.5495006,0.324969,0.11883083],"study_design_scores_gemma":[0.0000109480325,0.00003447773,0.00036027425,0.00046068177,0.000011143072,0.00021296559,0.00075682,0.0008524527,0.00072107365,0.047827628,0.9487289,0.000022504346],"about_ca_topic_score_codex":0.013265691,"about_ca_topic_score_gemma":0.012714482,"teacher_disagreement_score":0.026055405,"about_ca_system_score_codex":0.006599124,"about_ca_system_score_gemma":0.0048632086,"threshold_uncertainty_score":0.09838754},"labels":[],"label_agreement":null},{"id":"W1097233047","doi":"10.1007/978-3-319-21542-6_15","title":"Using PSL to Extend and Evaluate Event Ontologies","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Semantic Web; Web Ontology Language; OWL-S; Semantic Web Rule Language; Event (particle physics); Ontology language; Knowledge representation and reasoning; Semantic analytics; Semantic Web Stack; Description logic; Ontology components; Information retrieval; Event calculus; World Wide Web; Programming language; Artificial intelligence","score_opus":0.09721346066425304,"score_gpt":0.3411346015283093,"score_spread":0.24392114086405628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1097233047","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03840082,0.00019957298,0.92471,0.0005251015,0.00022262723,0.0005501057,0.0025835019,0.019948836,0.012859451],"genre_scores_gemma":[0.2982129,0.00023887074,0.68711674,0.00023630708,0.0000822862,0.00025247806,0.0073020067,0.002393632,0.004164732],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933756,0.0017415239,0.00082469755,0.0007205914,0.0030667456,0.00027087805],"domain_scores_gemma":[0.98370993,0.008213898,0.0011631245,0.0030763308,0.0034434348,0.00039319898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008114206,0.00094276416,0.0006419078,0.004348629,0.00091246376,0.005851056,0.0016353739,0.0010361213,0.005494934],"category_scores_gemma":[0.03528629,0.0006742612,0.0014005443,0.0020035163,0.001626734,0.0089376,0.003269419,0.0016290862,0.0017592099],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078353804,0.0006536483,0.018034104,0.0011639374,0.0003476007,0.0011168286,0.0025728121,0.137731,0.015095528,0.23535946,0.022107854,0.56503373],"study_design_scores_gemma":[0.00009167317,0.000119662676,0.0019510101,0.0002459955,0.00017382581,0.00020337458,0.0006675681,0.75411046,0.026221951,0.16610458,0.050031945,0.00007794787],"about_ca_topic_score_codex":0.011908315,"about_ca_topic_score_gemma":0.014321035,"teacher_disagreement_score":0.011908315,"about_ca_system_score_codex":0.0031828631,"about_ca_system_score_gemma":0.0027322748,"threshold_uncertainty_score":0.042912543},"labels":[],"label_agreement":null},{"id":"W110771460","doi":"","title":"A temporal extension of formal concept analysis.","year":2001,"lang":"es","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extension (predicate logic); Computer science; Programming language","score_opus":0.027351994605778744,"score_gpt":0.24389014328847702,"score_spread":0.21653814868269827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W110771460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020421792,0.0029679206,0.9791021,0.0015657648,0.0006637093,0.0002144122,0.0009596444,0.00073347916,0.0117508415],"genre_scores_gemma":[0.085466035,0.0022282498,0.9025911,0.0009193065,0.0007929862,0.00056579063,0.001480532,0.00026509652,0.005690906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945897,0.0020713857,0.00064324564,0.0012825968,0.0011853928,0.00022769897],"domain_scores_gemma":[0.98802245,0.007656168,0.0009740425,0.0019182733,0.0011294188,0.0002996072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008641629,0.0012004297,0.0007889475,0.0047992216,0.0018717161,0.004518456,0.001880311,0.0011354593,0.009564575],"category_scores_gemma":[0.020996386,0.00090768153,0.0041716564,0.0047265296,0.0060901544,0.011781462,0.0037054112,0.0043917275,0.0021396026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047517155,0.000027477987,0.00039734098,0.00022634948,0.000048211805,0.00013950176,0.00074846763,0.003748305,0.0004994525,0.9201724,0.005114538,0.06883051],"study_design_scores_gemma":[0.000017281187,0.000021730604,0.00018663361,0.00014788822,0.0000278469,0.00022290475,0.0001794133,0.02550899,0.0004483897,0.91111475,0.062097237,0.00002698924],"about_ca_topic_score_codex":0.007944075,"about_ca_topic_score_gemma":0.004245262,"teacher_disagreement_score":0.009564575,"about_ca_system_score_codex":0.002795041,"about_ca_system_score_gemma":0.0028141502,"threshold_uncertainty_score":0.04570186},"labels":[],"label_agreement":null},{"id":"W1108096679","doi":"10.1007/978-3-319-21542-6_12","title":"PSOA2Prolog: Object-Relational Rule Interoperation and Implementation by Translation from PSOA RuleML to ISO Prolog","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Prolog; Computer science; Programming language; Interoperation; Database; Operating system; Interoperability","score_opus":0.030539394963652787,"score_gpt":0.2834936114995408,"score_spread":0.252954216535888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1108096679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018886782,0.0001297272,0.9230744,0.00026255244,0.0002882304,0.000241013,0.0017832107,0.05794822,0.014384012],"genre_scores_gemma":[0.043295123,0.00036347445,0.89975864,0.0005528176,0.00011911702,0.00043853212,0.010893174,0.02295196,0.021627193],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974962,0.0005168931,0.0003039194,0.00046466265,0.0010161018,0.00020223668],"domain_scores_gemma":[0.9977506,0.000820542,0.00010856599,0.0007253727,0.0005186052,0.00007632295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024112496,0.0010057497,0.00076865766,0.0014726403,0.00074560114,0.0060665524,0.0028386265,0.0012191562,0.021523396],"category_scores_gemma":[0.0068754503,0.0015172571,0.0018426786,0.0013927063,0.0013682768,0.004072779,0.0029239156,0.0035103739,0.018298583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003495807,0.0005013653,0.00096799433,0.0009435143,0.00013319033,0.0006037477,0.0016021075,0.009232232,0.017570335,0.17319755,0.1492926,0.64560574],"study_design_scores_gemma":[0.00016731837,0.00011635376,0.0007224996,0.00034882667,0.00012169025,0.0009880068,0.0003560642,0.14911047,0.08793634,0.13292521,0.6270492,0.00015799004],"about_ca_topic_score_codex":0.0028600052,"about_ca_topic_score_gemma":0.002279325,"teacher_disagreement_score":0.021523396,"about_ca_system_score_codex":0.00083819224,"about_ca_system_score_gemma":0.0024799493,"threshold_uncertainty_score":0.07200289},"labels":[],"label_agreement":null},{"id":"W112780801","doi":"","title":"ONTOLOGY DESIGN THROUGH MODULAR REPOSITORIES","year":2009,"lang":"en","type":"article","venue":"International Conference on Knowledge Engineering and Ontology Development","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Modular design; World Wide Web; Information retrieval; Software engineering; Programming language","score_opus":0.04617419481366941,"score_gpt":0.28265353720585984,"score_spread":0.23647934239219043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W112780801","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018081086,0.00015879693,0.9748477,0.00046926207,0.00004089373,0.00010326838,0.000069714675,0.0014421127,0.004787108],"genre_scores_gemma":[0.21458422,0.0004060122,0.7754838,0.00018709459,0.000040290077,0.00022792428,0.00070696825,0.0008348537,0.0075289905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961124,0.001454116,0.00045686026,0.00057472143,0.0011528978,0.00024900705],"domain_scores_gemma":[0.9926742,0.0024165637,0.00041457458,0.0030323882,0.0012057775,0.00025660463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008545886,0.00052672805,0.00071157067,0.002220129,0.0014561275,0.0048941113,0.0020067731,0.0013140424,0.004832312],"category_scores_gemma":[0.014738775,0.0012046196,0.0019224004,0.002027452,0.0017440951,0.01152124,0.00548405,0.0017812432,0.0013278635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001483919,0.00022324093,0.0025410675,0.00026197787,0.00015040595,0.00033510133,0.0018257922,0.02265985,0.009686502,0.72126085,0.006258735,0.23464803],"study_design_scores_gemma":[0.0001052003,0.00013957046,0.0007784051,0.0002540113,0.00032781312,0.0005155159,0.0008130769,0.29052383,0.02980172,0.5876078,0.089056864,0.00007625806],"about_ca_topic_score_codex":0.0016663237,"about_ca_topic_score_gemma":0.0027293817,"teacher_disagreement_score":0.008545886,"about_ca_system_score_codex":0.0010923388,"about_ca_system_score_gemma":0.0023691526,"threshold_uncertainty_score":0.04519552},"labels":[],"label_agreement":null},{"id":"W11344285","doi":"10.4018/978-1-60566-904-5.ch018","title":"The Use of Ontology for Data Mining with Incomplete Data","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in database research (ADR) book series/Advances in database research series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Ontology; Computer science; Data mining; Domain (mathematical analysis); Ontology-based data integration; Process ontology; Upper ontology; Information retrieval; Data science; Semantic Web; Mathematics","score_opus":0.3214684808306416,"score_gpt":0.45037735142765584,"score_spread":0.12890887059701422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W11344285","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032866548,0.007606094,0.9724577,0.0025540337,0.0003084651,0.00018619857,0.00063472154,0.00046425973,0.012501848],"genre_scores_gemma":[0.026976028,0.013331967,0.9548127,0.0005294969,0.0002457997,0.00030821224,0.0017834606,0.0001479545,0.0018644212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9915404,0.0028660048,0.0009804086,0.0009896432,0.0034401647,0.00018345157],"domain_scores_gemma":[0.98137534,0.013121078,0.00089764467,0.0029213438,0.001476286,0.00020832873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008378833,0.00080243143,0.001436034,0.0061584734,0.0015283513,0.0056641526,0.0023175878,0.0012713233,0.0021635816],"category_scores_gemma":[0.024672272,0.0007200337,0.0023556566,0.011737071,0.0032928966,0.017013915,0.0039667045,0.0032834886,0.00096586085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028953213,0.000085921776,0.0016328851,0.0016674483,0.00022103576,0.0003787209,0.0020934423,0.005343289,0.0020735643,0.5278043,0.014357007,0.44431338],"study_design_scores_gemma":[0.000016505614,0.00005294081,0.0012852208,0.0012917813,0.00016335963,0.001104443,0.00087999983,0.038525634,0.0046038763,0.6339765,0.31801113,0.00008863415],"about_ca_topic_score_codex":0.002251138,"about_ca_topic_score_gemma":0.0023679852,"teacher_disagreement_score":0.008378833,"about_ca_system_score_codex":0.0015842452,"about_ca_system_score_gemma":0.0034928187,"threshold_uncertainty_score":0.04431206},"labels":[],"label_agreement":null},{"id":"W118816892","doi":"10.1007/978-1-4419-7335-1","title":"Canadian Semantic Web","year":2010,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Semantic Web; Social Semantic Web; Computer science; World Wide Web; Semantic Web Stack; Semantic analytics; Data Web; Web service","score_opus":0.010460780165403253,"score_gpt":0.2098693201939621,"score_spread":0.19940854002855884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118816892","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004802311,0.013269992,0.0059056142,0.0050770473,0.0016699343,0.00007720747,0.0038173355,0.00091947656,0.96878314],"genre_scores_gemma":[0.0075758747,0.016163493,0.007559629,0.001003985,0.00019762643,0.000046759174,0.0045324396,0.0004691153,0.96245116],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990151,0.000052023715,0.000029201701,0.00014492589,0.00064591214,0.00011279114],"domain_scores_gemma":[0.9990484,0.000068215246,0.000017181192,0.000092424794,0.00066941447,0.00010435334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070328376,0.0014111089,0.00083890813,0.007130771,0.0055527966,0.0064494745,0.0014747363,0.0013924782,0.08832983],"category_scores_gemma":[0.0020238939,0.0007768054,0.00063405203,0.0121656135,0.002053338,0.0057626613,0.002093147,0.0021584365,0.03637496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011394141,0.000008125424,0.000080905935,0.000091431255,0.0000040882105,0.000040936975,0.000096701326,0.00024725197,0.000116935655,0.08466333,0.82847965,0.08615926],"study_design_scores_gemma":[0.0000013653618,7.5466676e-7,0.00010155868,0.00005773168,0.000002917261,0.000028052018,0.0000485876,0.00013801488,0.00007408111,0.0068388386,0.9927027,0.0000054159027],"about_ca_topic_score_codex":0.8446271,"about_ca_topic_score_gemma":0.91211134,"teacher_disagreement_score":0.15537292,"about_ca_system_score_codex":0.030194333,"about_ca_system_score_gemma":0.042024773,"threshold_uncertainty_score":0.31257582},"labels":[],"label_agreement":null},{"id":"W119573762","doi":"","title":"The ontological perspectives of the semantic Web and the Metadata Harvesting Protocol: Applications of metadata for improving Web search","year":2001,"lang":"en","type":"article","venue":"Canadian journal of information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"World Wide Web; Humanities; Computer science; Political science; Library science; Philosophy","score_opus":0.03202846385443054,"score_gpt":0.29170867943019774,"score_spread":0.2596802155757672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W119573762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022467438,0.0050128684,0.85856724,0.017997442,0.00069611054,0.0002724563,0.000593192,0.0008965397,0.09349666],"genre_scores_gemma":[0.38827,0.00990364,0.56617504,0.0021043506,0.00092994206,0.0007189764,0.0013395598,0.00089065154,0.029667923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9887371,0.004692104,0.0010238489,0.00082582096,0.0041147373,0.000606355],"domain_scores_gemma":[0.98644197,0.0063963626,0.000880536,0.0036619122,0.0021480678,0.00047112367],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.012177797,0.00074698904,0.0008289437,0.007526635,0.0039790957,0.01554262,0.0022626454,0.0036342784,0.0045557786],"category_scores_gemma":[0.02102055,0.0009429951,0.0016301568,0.008596812,0.012324329,0.03821544,0.0071188766,0.004341005,0.0015322479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036980113,0.000030330428,0.0005647332,0.00016203332,0.0000133327,0.000101503814,0.0014348426,0.0016502931,0.0010433586,0.96599925,0.0013341833,0.027629297],"study_design_scores_gemma":[0.000025802292,0.000051496845,0.00092351704,0.00039854465,0.000058649992,0.00037173822,0.0042221206,0.018415991,0.005555264,0.8115899,0.15830325,0.00008378125],"about_ca_topic_score_codex":0.008360181,"about_ca_topic_score_gemma":0.0070701325,"teacher_disagreement_score":0.9844574,"about_ca_system_score_codex":0.004807806,"about_ca_system_score_gemma":0.0066718315,"threshold_uncertainty_score":0.06440312},"labels":[],"label_agreement":null},{"id":"W119941826","doi":"10.1007/978-3-540-87563-5","title":"Transactions on Computational Science II","year":2008,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Informatics; Software engineering; Programming language; Computational intelligence; Software development; Science and engineering; Software; Cognitive science; Theoretical computer science; Artificial intelligence; Engineering ethics","score_opus":0.019097058831980505,"score_gpt":0.2543614856299228,"score_spread":0.23526442679794227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W119941826","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034996965,0.056619037,0.12097816,0.03321023,0.036718607,0.00015532778,0.0019249525,0.001094635,0.7457993],"genre_scores_gemma":[0.065441184,0.04352851,0.047779404,0.004391336,0.010032503,0.00041841334,0.0038465445,0.00097448286,0.8235876],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986278,0.0003576905,0.000099975485,0.00025719908,0.0005749199,0.00008252467],"domain_scores_gemma":[0.9982565,0.0004782162,0.000044927358,0.00069270656,0.0004121874,0.00011539208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015744241,0.00096397573,0.0015957777,0.001304918,0.0010223726,0.0049764835,0.0012217078,0.0015085549,0.11673552],"category_scores_gemma":[0.004486088,0.0004684448,0.00090056553,0.002785732,0.0018809367,0.0038899088,0.0024799895,0.003033125,0.04745064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060645554,0.000054812106,0.00039435594,0.00037904954,0.000057435467,0.000058915106,0.00013516845,0.0012124259,0.00052188145,0.3182401,0.44476935,0.23411591],"study_design_scores_gemma":[0.000017398525,0.0000137228135,0.00028449539,0.00013695967,0.000027400947,0.00009021636,0.00007902495,0.0020487027,0.00022063115,0.17845432,0.81861967,0.0000073831125],"about_ca_topic_score_codex":0.0021151688,"about_ca_topic_score_gemma":0.0019065038,"teacher_disagreement_score":0.11673552,"about_ca_system_score_codex":0.0017536151,"about_ca_system_score_gemma":0.002021601,"threshold_uncertainty_score":0.3905192},"labels":[],"label_agreement":null},{"id":"W12121030","doi":"10.2310/7070.2002.10937","title":"Structural Knowledge Graph Navigator for the Icons Prototype.","year":2004,"lang":"en","type":"article","venue":"The Journal of Otolaryngology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Graph; Artificial intelligence; Theoretical computer science","score_opus":0.026176577385709224,"score_gpt":0.2874184294836568,"score_spread":0.2612418520979476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W12121030","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030734887,0.00066826906,0.6705115,0.0015850264,0.00072939065,0.002009885,0.014085863,0.19178991,0.0878853],"genre_scores_gemma":[0.09834681,0.00060118135,0.78138804,0.00091119047,0.00005490148,0.001227082,0.03623164,0.012474694,0.068764366],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995453,0.00011044526,0.000034107066,0.00009651331,0.00016507364,0.000048628575],"domain_scores_gemma":[0.9988298,0.0005110105,0.000037124097,0.000227059,0.00029332747,0.00010169623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011373032,0.000670967,0.00032796804,0.0009359292,0.00034854593,0.0014523081,0.0017272441,0.0015232648,0.04086977],"category_scores_gemma":[0.004363965,0.00036969164,0.00049653644,0.00090443814,0.00044941888,0.0038117117,0.0010340682,0.001017421,0.008575479],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018174769,0.00075936626,0.0027733876,0.0019203807,0.00010861244,0.0022480472,0.0035081077,0.0065054954,0.054148775,0.06273534,0.36202735,0.5014477],"study_design_scores_gemma":[0.00039647365,0.00036566966,0.0015341537,0.00036530208,0.00007667535,0.001307846,0.00064570666,0.044155363,0.031106675,0.015022604,0.9049062,0.000117354415],"about_ca_topic_score_codex":0.0077809296,"about_ca_topic_score_gemma":0.014585956,"teacher_disagreement_score":0.04086977,"about_ca_system_score_codex":0.00071586727,"about_ca_system_score_gemma":0.0011635415,"threshold_uncertainty_score":0.13672298},"labels":[],"label_agreement":null},{"id":"W123417488","doi":"","title":"The Two-Variable Situation Calculus","year":2006,"lang":"en","type":"article","venue":"Starting AI Researchers' Symposium","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Situation calculus; Axiom; Decidability; Operator (biology); Calculus (dental); Computer science; Natural deduction; Proof calculus; Variable (mathematics); Fragment (logic); Sequent calculus; Projection (relational algebra); Mathematics; Theoretical computer science; Algebra over a field; Artificial intelligence; Algorithm; Programming language; Mathematical proof; Pure mathematics","score_opus":0.0263870906922857,"score_gpt":0.30913978208541726,"score_spread":0.2827526913931316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W123417488","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044776645,0.00061020436,0.89078945,0.0021639618,0.00044624842,0.00025559036,0.0004786533,0.0012552328,0.059223972],"genre_scores_gemma":[0.59854275,0.00044962252,0.38015217,0.00062583084,0.00019240544,0.00035688415,0.00048351905,0.00020573227,0.018991016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997693,0.000615102,0.00013130392,0.00048365718,0.00067237066,0.00040454045],"domain_scores_gemma":[0.9987948,0.00044064407,0.00008861353,0.00026022323,0.00026145356,0.00015430647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022710057,0.0007075024,0.00066881574,0.00090046856,0.0017758235,0.0035121324,0.0021800606,0.0012830946,0.005917949],"category_scores_gemma":[0.002628962,0.00047692735,0.0018251959,0.0010862605,0.0045044995,0.0057610744,0.0027969463,0.0032528113,0.0008012212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027942304,0.000019009149,0.000095773656,0.000033754714,0.000015018684,0.00022668662,0.00028514824,0.004201649,0.0011548202,0.98884565,0.0006230587,0.004471513],"study_design_scores_gemma":[0.000056663037,0.000044309712,0.00023350368,0.00002895492,0.0000513593,0.00023368142,0.000162508,0.048964538,0.0025753754,0.9142925,0.033293296,0.00006322678],"about_ca_topic_score_codex":0.00554234,"about_ca_topic_score_gemma":0.0033545992,"teacher_disagreement_score":0.005917949,"about_ca_system_score_codex":0.0021952624,"about_ca_system_score_gemma":0.0017523293,"threshold_uncertainty_score":0.019797444},"labels":[],"label_agreement":null},{"id":"W124432261","doi":"10.3166/isi.10.4.89-117","title":"Intégration du contexte spatio-temporel dans le contrôle d'accès basé sur les rôles","year":2005,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.0227590141493892,"score_gpt":0.22103238515151177,"score_spread":0.19827337100212258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W124432261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047816914,0.0013510619,0.9268997,0.0012085468,0.0003113461,0.00015568247,0.000258466,0.0013513867,0.020646911],"genre_scores_gemma":[0.6692784,0.0018181448,0.29506978,0.0003415613,0.00022761003,0.00043001186,0.00048657815,0.00056924956,0.031778645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99707806,0.000786864,0.0002530929,0.0006952873,0.0009516166,0.00023512375],"domain_scores_gemma":[0.9955135,0.0021144282,0.00040375005,0.00076473976,0.0009188462,0.00028474117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030627863,0.0007942806,0.0006495614,0.0010026294,0.0017164791,0.007260104,0.0011606158,0.0013423266,0.004953649],"category_scores_gemma":[0.0065964297,0.0006332147,0.0009412088,0.0007580359,0.0026086448,0.0068926797,0.0033305,0.002237373,0.0013501341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005528675,0.00021000911,0.009156656,0.000688841,0.00011646651,0.0018686419,0.016505085,0.049889866,0.044293795,0.703613,0.0051014386,0.16800335],"study_design_scores_gemma":[0.00009217023,0.00055558677,0.0097633945,0.00079840847,0.0004260225,0.002019071,0.007458931,0.29858547,0.04960474,0.26260132,0.36768463,0.000410252],"about_ca_topic_score_codex":0.0105891265,"about_ca_topic_score_gemma":0.009008962,"teacher_disagreement_score":0.0105891265,"about_ca_system_score_codex":0.0015658701,"about_ca_system_score_gemma":0.002308088,"threshold_uncertainty_score":0.021054983},"labels":[],"label_agreement":null},{"id":"W125530895","doi":"","title":"Ontological Modeling Approach to Blending Theories for Instructional and Learning Design","year":2006,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Ontology; Instructional design; Learning theory; Artificial intelligence; Cognitive science; Knowledge management; Epistemology; Mathematics education; Multimedia; Psychology","score_opus":0.03633015072310909,"score_gpt":0.24257646059541166,"score_spread":0.20624630987230258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W125530895","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001140239,0.00072748767,0.97376245,0.0024218885,0.000159091,0.00010361978,0.000100924386,0.0001707372,0.02141359],"genre_scores_gemma":[0.10238105,0.002404769,0.8823948,0.00094281376,0.0002557763,0.0010401772,0.00050608005,0.00016296412,0.009911601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958163,0.0021469027,0.0003576655,0.0003508222,0.0011514135,0.00017689692],"domain_scores_gemma":[0.996627,0.0017688036,0.0002275168,0.00074432313,0.0004659641,0.00016645754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050553046,0.0011940177,0.0010161496,0.0032961785,0.0019075396,0.004973887,0.0032232301,0.002385452,0.005153034],"category_scores_gemma":[0.00646495,0.0007991783,0.0027960592,0.0025070272,0.005173738,0.008848124,0.0037489897,0.004112897,0.0011989613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000320417,0.0000150430515,0.00005693644,0.000064782245,0.00001636356,0.000033212567,0.00038784795,0.0031357808,0.0001623474,0.98712593,0.00062074343,0.0083777625],"study_design_scores_gemma":[0.00001022169,0.000015433923,0.00006348799,0.00012463618,0.000033143777,0.00006305835,0.0002585792,0.017996749,0.0004038004,0.92519706,0.05581654,0.00001725191],"about_ca_topic_score_codex":0.0045084488,"about_ca_topic_score_gemma":0.004660741,"teacher_disagreement_score":0.005153034,"about_ca_system_score_codex":0.00377157,"about_ca_system_score_gemma":0.00386196,"threshold_uncertainty_score":0.02736479},"labels":[],"label_agreement":null},{"id":"W1262644182","doi":"","title":"E-learning infrastructure for software engineering education : steps in ontology modeling for SWEBOK","year":2004,"lang":"en","type":"article","venue":"IASTED Conference on Software Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Software engineering; Ontology; Terminology; Viewpoints; Consistency (knowledge bases); Domain (mathematical analysis); CLARITY; Software development; Software; Artificial intelligence; Programming language","score_opus":0.01795867241153999,"score_gpt":0.24700944755545529,"score_spread":0.2290507751439153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1262644182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002838501,0.00034194364,0.9831472,0.0025734464,0.00006522294,0.0004808649,0.00018229969,0.00057971914,0.009790844],"genre_scores_gemma":[0.026180051,0.00060093385,0.9685485,0.00027226395,0.000014862719,0.00055948086,0.0005300788,0.00019905565,0.0030948503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99568695,0.0017387673,0.00061529,0.00041193824,0.0012887964,0.00025823046],"domain_scores_gemma":[0.9974033,0.00074272027,0.00023703904,0.00071975455,0.00067538116,0.00022174534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073025846,0.00085811573,0.0009842691,0.0040536025,0.0032487276,0.009155839,0.0035441485,0.0029556144,0.0032388037],"category_scores_gemma":[0.007939834,0.0012714287,0.0025395586,0.0040458785,0.003921458,0.017917631,0.0067155645,0.005425886,0.002415281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031779306,0.00019916447,0.00097126357,0.0003883523,0.000036610458,0.00026267485,0.003559587,0.0121402815,0.0022873245,0.86950225,0.0058883415,0.104732454],"study_design_scores_gemma":[0.00002111691,0.000050085957,0.00097224396,0.0012461169,0.00004205262,0.00032621922,0.003589024,0.12421373,0.004224605,0.5959598,0.26923922,0.00011587438],"about_ca_topic_score_codex":0.016072623,"about_ca_topic_score_gemma":0.016791794,"teacher_disagreement_score":0.016072623,"about_ca_system_score_codex":0.005132954,"about_ca_system_score_gemma":0.010510607,"threshold_uncertainty_score":0.038620234},"labels":[],"label_agreement":null},{"id":"W127113822","doi":"10.17718/tojde.36761","title":"Asynchronous Distance Education: Teaching Using Case Based Reasoning","year":2003,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distance education; Asynchronous communication; Computer science; Asynchronous learning; Mathematics education; Domain (mathematical analysis); Individualized instruction; Teaching method; Synchronous learning; Psychology; Telecommunications; Cooperative learning","score_opus":0.014058431122311725,"score_gpt":0.23068050470887674,"score_spread":0.21662207358656502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W127113822","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01047314,0.00047302552,0.96666014,0.00050132466,0.00009045319,0.00026122903,0.00008151776,0.0010782076,0.020381037],"genre_scores_gemma":[0.14389348,0.00088154577,0.84769726,0.00014945565,0.00009364378,0.0002438302,0.0003554573,0.0001456935,0.0065395725],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99549735,0.0021760822,0.00033782193,0.00055628625,0.0012701459,0.00016231985],"domain_scores_gemma":[0.99410444,0.004154208,0.00030071294,0.000847248,0.00035580518,0.00023754824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035107795,0.00089620927,0.00046862414,0.0027402134,0.00074863667,0.005252963,0.0030731368,0.002470855,0.0078056124],"category_scores_gemma":[0.009259803,0.00053376635,0.0008778592,0.001624025,0.0014147406,0.005597596,0.0026850544,0.0017784076,0.0026181603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021416195,0.0013559341,0.0021993844,0.00067241496,0.00008530253,0.0010711025,0.003178927,0.041990783,0.007871864,0.14614582,0.0066918693,0.7885225],"study_design_scores_gemma":[0.00044308562,0.00037082317,0.0014552388,0.0008528677,0.00017880216,0.0027022406,0.0022189275,0.4058148,0.025805976,0.3652749,0.19469185,0.00019053985],"about_ca_topic_score_codex":0.001089235,"about_ca_topic_score_gemma":0.001752824,"teacher_disagreement_score":0.0078056124,"about_ca_system_score_codex":0.0010775385,"about_ca_system_score_gemma":0.001049803,"threshold_uncertainty_score":0.026112378},"labels":[],"label_agreement":null},{"id":"W127364561","doi":"","title":"Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology-based data integration; Upper ontology; Semantic Web; Information retrieval; World Wide Web; Ontology; Semantic interoperability; Semantic integration; OWL-S; Semantic Web Stack; Open Biomedical Ontologies; Semantic analytics; Interoperability","score_opus":0.027581232380805985,"score_gpt":0.24051536347301888,"score_spread":0.2129341310922129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W127364561","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010147798,0.11223492,0.41054517,0.090434834,0.086857624,0.0011692788,0.0021796112,0.0026190502,0.2838117],"genre_scores_gemma":[0.0855789,0.11545316,0.29632556,0.017549345,0.029166069,0.0015051252,0.012697492,0.003157117,0.4385672],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99413496,0.002325252,0.00059450575,0.0007105479,0.0018013623,0.00043345746],"domain_scores_gemma":[0.99555486,0.0017223187,0.0001613233,0.0007538805,0.0012753871,0.00053228164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008517921,0.0014884456,0.0016157089,0.0021924295,0.0014712933,0.010211141,0.002806812,0.0037238856,0.027809633],"category_scores_gemma":[0.010539444,0.00088176836,0.0020716153,0.0020098686,0.0029554274,0.012343968,0.0048564607,0.00711021,0.011223157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002834881,0.00038832688,0.00062565075,0.001020177,0.00015201124,0.0006707402,0.002766032,0.0019748136,0.0032869333,0.16649063,0.5079518,0.31438938],"study_design_scores_gemma":[0.000021289608,0.000033135075,0.00033192112,0.00043440203,0.000033048098,0.00023721265,0.00038672457,0.0017388223,0.0006419504,0.03830808,0.9578083,0.00002513299],"about_ca_topic_score_codex":0.004126392,"about_ca_topic_score_gemma":0.0039476394,"teacher_disagreement_score":0.027809633,"about_ca_system_score_codex":0.0028204017,"about_ca_system_score_gemma":0.0045410823,"threshold_uncertainty_score":0.09303242},"labels":[],"label_agreement":null},{"id":"W131909739","doi":"10.17705/1jais.00332","title":"Extending Classification Principles from Information Modeling to Other Disciplines","year":2013,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Inference; Class (philosophy); Context (archaeology); Data science; Domain (mathematical analysis); Information system; Information processing; Artificial intelligence; Information theory; Cognition; Management science; Theoretical computer science; Cognitive science; Mathematics; Engineering","score_opus":0.043015030695819544,"score_gpt":0.26359752972576,"score_spread":0.22058249902994045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W131909739","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027674492,0.0016948794,0.96533304,0.009875756,0.00023638604,0.00015537624,0.00019142889,0.00027338593,0.019472409],"genre_scores_gemma":[0.2088818,0.0044926303,0.77491677,0.0030754085,0.0011685864,0.0009397264,0.0006896377,0.00025746,0.005578086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99085355,0.0035127178,0.0010420128,0.0013067601,0.0028409117,0.0004440798],"domain_scores_gemma":[0.9855678,0.008460499,0.0008163792,0.0030054506,0.0017221035,0.0004277201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01282617,0.0012937345,0.0016458671,0.008268844,0.002921417,0.009683217,0.0033868898,0.0032410717,0.004335759],"category_scores_gemma":[0.015043307,0.000976195,0.003625907,0.007970538,0.01392364,0.021115096,0.0061811656,0.0060110614,0.001090978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003516678,0.000011839859,0.00016918857,0.00006257136,0.000020602718,0.000028268449,0.00028237235,0.0024902846,0.00007761716,0.98377305,0.0011196394,0.011961028],"study_design_scores_gemma":[0.000005426282,0.0000054108623,0.00008665227,0.000050011353,0.0000113039305,0.00003147464,0.000055065662,0.008593875,0.00012940809,0.9744678,0.016553536,0.000009963836],"about_ca_topic_score_codex":0.0075121024,"about_ca_topic_score_gemma":0.0050261053,"teacher_disagreement_score":0.01282617,"about_ca_system_score_codex":0.0067884526,"about_ca_system_score_gemma":0.004295872,"threshold_uncertainty_score":0.06783211},"labels":[],"label_agreement":null},{"id":"W134425850","doi":"10.1007/bf03001532","title":"An indexed atlas of digital mammograms for computer-aided diagnosis of breast cancer","year":2003,"lang":"fr","type":"article","venue":"Annals of Telecommunications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; Alberta Cancer Foundation; University of Calgary","funders":"Health Research Board","keywords":"Computer science; Atlas (anatomy); Search engine indexing; Information retrieval; Software; Mammography; Computer-aided diagnosis; CAD; Data mining; Breast cancer; Multimedia; Artificial intelligence; Medicine; Cancer; Engineering drawing","score_opus":0.12057733126602513,"score_gpt":0.3692154853559816,"score_spread":0.24863815408995646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W134425850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12204326,0.00580899,0.6731745,0.0028547728,0.00074200256,0.0007477668,0.09806232,0.02439654,0.072169885],"genre_scores_gemma":[0.3885224,0.0053731613,0.5586592,0.00031926166,0.00015389072,0.00028233827,0.036419943,0.0011734368,0.0090963775],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999798,0.000037612102,0.00003147738,0.00003108764,0.00008239931,0.00001944302],"domain_scores_gemma":[0.9994892,0.00014145472,0.000054309356,0.0001106113,0.00016472564,0.000039569648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030300315,0.00029357793,0.00029146564,0.0037846847,0.00042051126,0.001688154,0.00051136146,0.00062719494,0.009534897],"category_scores_gemma":[0.0015196848,0.000253859,0.0005276665,0.003863549,0.00019636455,0.00072434446,0.0007410199,0.00042324193,0.0023623137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089895545,0.00024322112,0.019729894,0.0018968773,0.00022356334,0.0037988827,0.0014847697,0.027479962,0.055692703,0.054799084,0.10229449,0.7314576],"study_design_scores_gemma":[0.00015100953,0.00023912886,0.05119441,0.0006788459,0.0007194471,0.013653713,0.0013346532,0.1065673,0.045146056,0.052455716,0.72769153,0.00016825955],"about_ca_topic_score_codex":0.0044053425,"about_ca_topic_score_gemma":0.011477471,"teacher_disagreement_score":0.009534897,"about_ca_system_score_codex":0.00063682697,"about_ca_system_score_gemma":0.0015858164,"threshold_uncertainty_score":0.031897426},"labels":[],"label_agreement":null},{"id":"W136474477","doi":"","title":"Applying Cognitive Principles of Similarity to Data Integration - The Case of SIAM","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Data integration; Schema matching; Schema (genetic algorithms); Data science; Similarity (geometry); Matching (statistics); Field (mathematics); Data warehouse; Data mining; Information retrieval; Artificial intelligence","score_opus":0.17168474592911104,"score_gpt":0.3534698409178688,"score_spread":0.18178509498875778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W136474477","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06287529,0.002589604,0.81067926,0.009708759,0.0002789508,0.00017128115,0.00006867551,0.00024130131,0.11338685],"genre_scores_gemma":[0.72940415,0.0011644955,0.26220265,0.0008731767,0.00022327957,0.00023002892,0.00007903671,0.000096703894,0.005726425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951014,0.0023273872,0.0002666012,0.0008638361,0.0012046796,0.00023618658],"domain_scores_gemma":[0.9909105,0.005395034,0.00057759037,0.0017492592,0.0009882707,0.00037940074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070554256,0.0005543045,0.0006820412,0.0038660215,0.0028341329,0.0064336415,0.0015907488,0.002116768,0.0028329932],"category_scores_gemma":[0.01943863,0.00044750585,0.0018152653,0.002657521,0.022499425,0.012926987,0.006235397,0.0031348104,0.0003719944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016431219,0.000014652328,0.00042988895,0.000041182997,0.00002273452,0.00008364643,0.0022348547,0.0010551945,0.00027065777,0.9831262,0.0003858867,0.012318657],"study_design_scores_gemma":[0.000011354516,0.000015364929,0.00028852068,0.000019021076,0.00001178488,0.00016730241,0.0004779538,0.0056051207,0.00038960326,0.9841958,0.008804589,0.000013600337],"about_ca_topic_score_codex":0.00399534,"about_ca_topic_score_gemma":0.002233325,"teacher_disagreement_score":0.0070554256,"about_ca_system_score_codex":0.002776686,"about_ca_system_score_gemma":0.0022293918,"threshold_uncertainty_score":0.037313163},"labels":[],"label_agreement":null},{"id":"W1426690399","doi":"","title":"Linking Semistructured Data on the Web","year":2011,"lang":"en","type":"article","venue":"International Workshop on the Web and Databases","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; JSON; USable; World Wide Web; XML; Information retrieval; Linked data; Data Web; Web modeling; Scalability; Metadata; Data publishing; Web page; Database; Semantic Web; Publishing","score_opus":0.1293329089290144,"score_gpt":0.3026925544735615,"score_spread":0.17335964554454714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1426690399","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03847953,0.0012448347,0.9114762,0.0013412896,0.000283717,0.0009957899,0.007684304,0.024632443,0.013861875],"genre_scores_gemma":[0.17147478,0.0027210885,0.78635716,0.0014000587,0.00024069729,0.0010524587,0.027303446,0.0028088498,0.00664157],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99065673,0.0030234042,0.0013232785,0.0010869941,0.0036880372,0.00022161937],"domain_scores_gemma":[0.97105104,0.012602125,0.0015023258,0.010773347,0.0034262436,0.0006449295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075109466,0.0006798548,0.0011434332,0.008709301,0.0017089255,0.007888155,0.002010702,0.0017937031,0.0029663553],"category_scores_gemma":[0.026028566,0.0008935772,0.0010043225,0.011189111,0.0014654694,0.009148375,0.0067012603,0.0016099219,0.002050274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070217456,0.0010956295,0.014389403,0.0020695745,0.00066139,0.004523782,0.0075863535,0.043437626,0.027270494,0.13137645,0.054338507,0.7125487],"study_design_scores_gemma":[0.00015132558,0.00012495159,0.0056444416,0.00090382143,0.0001856656,0.0016151852,0.0023568543,0.17009288,0.04239826,0.4389135,0.33731303,0.00030009382],"about_ca_topic_score_codex":0.002641369,"about_ca_topic_score_gemma":0.0022412285,"teacher_disagreement_score":0.008709301,"about_ca_system_score_codex":0.0009456182,"about_ca_system_score_gemma":0.0024682272,"threshold_uncertainty_score":0.039722145},"labels":[],"label_agreement":null},{"id":"W1431322670","doi":"","title":"Toward a “Third Order” Archival Interface: Research Notes on Some Theoretical and Practical Implications of Visual Explorations in the Canadian Context of Financial Electronic Records","year":2014,"lang":"en","type":"article","venue":"Archivaria (Association of Canadian Archivists)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ontology; Abstraction; Context (archaeology); Representation (politics); Domain (mathematical analysis); Order (exchange); Library science; Archival science; Computer science; Sociology; World Wide Web; Epistemology; Political science; History; Philosophy; Archaeology; Politics; Law","score_opus":0.04284030807666155,"score_gpt":0.3317973520192373,"score_spread":0.28895704394257576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1431322670","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17456053,0.0024073725,0.45911726,0.015823742,0.00023853453,0.00056564034,0.00047575263,0.0017026995,0.34510845],"genre_scores_gemma":[0.7892871,0.002378311,0.15286902,0.00064408634,0.000064935004,0.00036790673,0.00026476418,0.0006190368,0.05350489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964259,0.0018631854,0.00012074979,0.0003593234,0.0007833467,0.0004474089],"domain_scores_gemma":[0.98916143,0.0064885565,0.00042689138,0.0012613093,0.002023106,0.0006387349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060239015,0.00074185577,0.00034150528,0.003105072,0.0049072728,0.022721803,0.0020745688,0.0020590785,0.019738743],"category_scores_gemma":[0.020046407,0.0007207401,0.0009297068,0.0033882728,0.01495368,0.012330558,0.005840055,0.0026097058,0.001416856],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001832748,0.00008680138,0.004160066,0.0006033686,0.000026566378,0.00078995357,0.27900106,0.002776184,0.006262841,0.6204937,0.006378658,0.0792376],"study_design_scores_gemma":[0.000065250264,0.00012036422,0.0090875365,0.0013576413,0.000091757276,0.0012618173,0.32606193,0.025410248,0.010326785,0.17271219,0.45327303,0.00023136371],"about_ca_topic_score_codex":0.24472564,"about_ca_topic_score_gemma":0.20871994,"teacher_disagreement_score":0.75527436,"about_ca_system_score_codex":0.011455847,"about_ca_system_score_gemma":0.011660356,"threshold_uncertainty_score":0.48660237},"labels":[],"label_agreement":null},{"id":"W1442252536","doi":"10.1007/978-3-319-11964-9_25","title":"A Cross-Platform Benchmark Framework for Mobile Semantic Web Reasoning Engines","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Bayer HealthCare","keywords":"Computer science; Semantic Web; Benchmark (surveying); Semantic reasoner; Robustness (evolution); Mobile Web; Mobile device; Reasoning system; Social Semantic Web; Mobile technology; World Wide Web; Data science; Artificial intelligence","score_opus":0.01641933500629372,"score_gpt":0.2754278437981124,"score_spread":0.2590085087918187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1442252536","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14420293,0.003867097,0.5544216,0.0023360779,0.0013451183,0.004325173,0.027809948,0.19910546,0.06258662],"genre_scores_gemma":[0.29447034,0.0017530771,0.5301075,0.0008262282,0.00016551242,0.0019651647,0.13010773,0.018724956,0.021879438],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99023914,0.0021079998,0.0018081915,0.0011341204,0.0037022543,0.0010082483],"domain_scores_gemma":[0.990397,0.002070571,0.00042292263,0.003302014,0.0030862568,0.0007212949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01110028,0.002829431,0.0017216621,0.005175248,0.0021668433,0.007154025,0.008658433,0.003189436,0.0068754083],"category_scores_gemma":[0.019936813,0.0016184973,0.002282422,0.0044979975,0.0011186625,0.012330954,0.006041964,0.0033583941,0.0057110605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047805198,0.005554614,0.011469335,0.0032771912,0.001023782,0.0016507661,0.0012471229,0.10294511,0.030771993,0.16103432,0.27119505,0.4050502],"study_design_scores_gemma":[0.00084398326,0.0011559515,0.0055768588,0.000647171,0.0005578532,0.0010724978,0.0012116845,0.6254376,0.07107147,0.053592406,0.23846082,0.000371689],"about_ca_topic_score_codex":0.022204356,"about_ca_topic_score_gemma":0.019513363,"teacher_disagreement_score":0.022204356,"about_ca_system_score_codex":0.0029629304,"about_ca_system_score_gemma":0.005035079,"threshold_uncertainty_score":0.058704555},"labels":[],"label_agreement":null},{"id":"W145092378","doi":"10.1007/978-3-642-21070-9_8","title":"A First-Order Calculus for Allegories","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; University of Toronto","funders":"","keywords":"Soundness; Calculus (dental); Computer science; Completeness (order theory); Natural deduction; Pi calculus; Relational calculus; Situation calculus; Programming language; Mathematics; Relational model; Relational database; Information retrieval","score_opus":0.02890156536945149,"score_gpt":0.2500076781511855,"score_spread":0.22110611278173403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W145092378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007235794,0.0018234587,0.9053512,0.0022877287,0.0009908297,0.00012880513,0.0010821512,0.002201151,0.078898795],"genre_scores_gemma":[0.28926155,0.003012248,0.62957704,0.0014401973,0.0013578328,0.00044263055,0.0023306527,0.0017570874,0.07082078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976532,0.00043953702,0.00026237124,0.00046367594,0.0008301871,0.00035118154],"domain_scores_gemma":[0.99801457,0.0008268462,0.00006914903,0.0004710491,0.00047790064,0.00014051057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029546602,0.0015933083,0.0017596815,0.0030223157,0.0057514487,0.009541664,0.0038150484,0.0033850393,0.015500242],"category_scores_gemma":[0.004315831,0.0024201043,0.004201354,0.0040765502,0.0078072953,0.021047298,0.005043662,0.008508876,0.005356138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005032326,0.000010873017,0.000030630305,0.000026991658,0.000004124044,0.00003372529,0.0001792255,0.00031160485,0.00019380469,0.991879,0.0018103087,0.0055146595],"study_design_scores_gemma":[0.000007941136,0.000003626831,0.000027204032,0.000017210581,0.00001224603,0.000056770306,0.00003743706,0.001483321,0.00030019006,0.9782687,0.0197709,0.000014480507],"about_ca_topic_score_codex":0.0065115117,"about_ca_topic_score_gemma":0.007855982,"teacher_disagreement_score":0.015500242,"about_ca_system_score_codex":0.0044283634,"about_ca_system_score_gemma":0.0029943874,"threshold_uncertainty_score":0.051853478},"labels":[],"label_agreement":null},{"id":"W1456495627","doi":"10.1007/978-3-642-39088-3_7","title":"O wl O nt DB: A Scalable Reasoning System for OWL 2 RL Ontologies with Large ABoxes","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Scalability; Web Ontology Language; Description logic; Programming language; Artificial intelligence; Semantic Web; Operating system","score_opus":0.01550865213918312,"score_gpt":0.2349184214109875,"score_spread":0.2194097692718044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1456495627","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005539305,0.0004963734,0.7681757,0.00037836644,0.00027881385,0.0004251525,0.00962166,0.20137064,0.0137139205],"genre_scores_gemma":[0.064843126,0.00090252416,0.85153747,0.00083007955,0.000104947154,0.00047407325,0.041608647,0.0198876,0.019811485],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987619,0.0001267601,0.00015686944,0.00033903873,0.00051730126,0.00009810574],"domain_scores_gemma":[0.9986349,0.00036013388,0.00008492406,0.0005083654,0.0002707037,0.00014100934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001844732,0.0017098353,0.0014009138,0.002594759,0.0013112762,0.0049663107,0.0037038624,0.0012592317,0.022368431],"category_scores_gemma":[0.0049339593,0.0018087133,0.0021346218,0.0021513219,0.0008660318,0.008039418,0.0043357154,0.0025127635,0.010838046],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011602595,0.0006723067,0.0026858973,0.0017620962,0.00050921587,0.0009061372,0.0008593326,0.012108843,0.030879669,0.060033437,0.32278535,0.56563747],"study_design_scores_gemma":[0.00048636823,0.000112716254,0.0018654519,0.00039732995,0.0004899651,0.00072777754,0.000589772,0.3691656,0.048895314,0.12885821,0.44812012,0.00029146712],"about_ca_topic_score_codex":0.022493003,"about_ca_topic_score_gemma":0.030413888,"teacher_disagreement_score":0.022493003,"about_ca_system_score_codex":0.0012559635,"about_ca_system_score_gemma":0.0034216307,"threshold_uncertainty_score":0.07482988},"labels":[],"label_agreement":null},{"id":"W1457225595","doi":"","title":"Validating ontologies in informatics systems: approaches and lessons learned for AEC","year":2014,"lang":"en","type":"article","venue":"Journal of Information Technology in Construction","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmarking; Scope (computer science); Computer science; Construct (python library); Ontology; Dimension (graph theory); Data science; Set (abstract data type); Knowledge management; Informatics; Artificial intelligence; Software engineering; Engineering; Mathematics","score_opus":0.04730560788840749,"score_gpt":0.27561290686343337,"score_spread":0.22830729897502589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1457225595","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026408708,0.03610369,0.70498526,0.16084383,0.0009820797,0.0007019916,0.00026296845,0.0008321368,0.068879396],"genre_scores_gemma":[0.29862475,0.016979015,0.67197514,0.00444714,0.0007207208,0.0007411169,0.0004935083,0.00035926545,0.0056593367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9609853,0.027735816,0.002509331,0.0019595244,0.005724585,0.0010854318],"domain_scores_gemma":[0.8238802,0.11984917,0.0028750126,0.023449073,0.027338468,0.0026080143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07566119,0.0010980002,0.0016304594,0.008776404,0.0040293345,0.01793132,0.005818541,0.0065819076,0.0041331043],"category_scores_gemma":[0.099420376,0.00077438785,0.0012689311,0.008358363,0.021374485,0.043415993,0.008624749,0.009384461,0.0010633239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025894391,0.000146356,0.0017208521,0.00047859034,0.000031887175,0.0001148746,0.0036430822,0.0059575653,0.00019879469,0.83151484,0.0046300343,0.15153724],"study_design_scores_gemma":[0.000013722043,0.000027418828,0.0006023416,0.0013223358,0.000011557179,0.000084027,0.0044334773,0.018465968,0.0005695494,0.9347887,0.03963914,0.000041734547],"about_ca_topic_score_codex":0.02117212,"about_ca_topic_score_gemma":0.010452881,"teacher_disagreement_score":0.07566119,"about_ca_system_score_codex":0.013817245,"about_ca_system_score_gemma":0.014370506,"threshold_uncertainty_score":0.4001394},"labels":[],"label_agreement":null},{"id":"W1464100769","doi":"10.7202/1029185ar","title":"Modélisation conceptuelle de l’information bibliographique et muséologique : CIDOC CRM et FRBRoo","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.06142770269694291,"score_gpt":0.3439270740730568,"score_spread":0.28249937137611386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1464100769","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03711255,0.0035730407,0.8474247,0.0054513947,0.0004565119,0.0007877287,0.003242167,0.0036746662,0.09827727],"genre_scores_gemma":[0.31824425,0.003841276,0.6159353,0.0009803786,0.00024313664,0.00078185066,0.0061937696,0.0007865308,0.052993447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99610835,0.0011217349,0.000318414,0.0006457604,0.0015134158,0.0002924047],"domain_scores_gemma":[0.99691236,0.0010607137,0.00024322503,0.00071071624,0.00088991533,0.00018305932],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0058865463,0.0006452165,0.0006708519,0.004707805,0.0017556596,0.010070849,0.001673965,0.0019654965,0.0038319558],"category_scores_gemma":[0.0071834493,0.00055248284,0.0013021971,0.0052504595,0.0026069107,0.007543385,0.0028031534,0.0019901216,0.0014166307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000139454,0.00008188419,0.0034384187,0.00047445495,0.00007733013,0.0006291942,0.0038842,0.015430374,0.0031637377,0.8757156,0.009191793,0.08777357],"study_design_scores_gemma":[0.00007106016,0.000057473986,0.0030274538,0.0006651879,0.0001198032,0.0007781686,0.0022784001,0.09611204,0.00848003,0.116525576,0.77175415,0.00013057991],"about_ca_topic_score_codex":0.05838283,"about_ca_topic_score_gemma":0.039688732,"teacher_disagreement_score":0.98992914,"about_ca_system_score_codex":0.0056112865,"about_ca_system_score_gemma":0.0067554116,"threshold_uncertainty_score":0.116086006},"labels":[],"label_agreement":null},{"id":"W1477413762","doi":"10.1007/978-3-642-29764-9_15","title":"Automated Reasoning Support for Ontology Development","year":2013,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Process ontology; Computer science; Ontology-based data integration; Upper ontology; Suggested Upper Merged Ontology; Automated reasoning; Description logic; Axiom; Software engineering; Artificial intelligence; Domain knowledge; Mathematics","score_opus":0.04963008229988195,"score_gpt":0.308715722192654,"score_spread":0.259085639892772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1477413762","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003807164,0.0011553154,0.95708317,0.0013178096,0.00018811722,0.00013045194,0.0005672787,0.005848038,0.029902771],"genre_scores_gemma":[0.077597104,0.001760895,0.90164196,0.00032186302,0.00012962362,0.00014698552,0.0035220452,0.0010104629,0.013869129],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974254,0.00072679715,0.00030430933,0.0003318393,0.0010620954,0.00014959993],"domain_scores_gemma":[0.9956012,0.0024812706,0.0001664979,0.0011192076,0.0005524424,0.000079308586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027522212,0.0007129853,0.000686333,0.0021646793,0.0012893012,0.0055203387,0.003251527,0.0013942125,0.013895322],"category_scores_gemma":[0.009076027,0.0008480004,0.0015985424,0.0025567354,0.0011954631,0.009173401,0.0038811916,0.0026356156,0.0049318126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007385652,0.0001528209,0.00035910262,0.00046982412,0.000065249675,0.0004239689,0.0007681867,0.0064355135,0.0045856484,0.43851385,0.038586427,0.50956565],"study_design_scores_gemma":[0.00004944736,0.000018242092,0.00022830738,0.00032920283,0.000069958165,0.0005184513,0.00030141076,0.1184282,0.010272848,0.56873536,0.3010067,0.000041738727],"about_ca_topic_score_codex":0.002745381,"about_ca_topic_score_gemma":0.004320294,"teacher_disagreement_score":0.013895322,"about_ca_system_score_codex":0.0011057409,"about_ca_system_score_gemma":0.0018021094,"threshold_uncertainty_score":0.04648453},"labels":[],"label_agreement":null},{"id":"W1479791303","doi":"10.1007/3-540-45441-1_26","title":"Extending UML to Support Ontology Engineering for the Semantic Web","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; OWL-S; Ontology; Web Ontology Language; Description logic; Unified Modeling Language; Knowledge representation and reasoning; Semantic Web; Applications of UML; Programming language; Ontology language; Software engineering; World Wide Web; Artificial intelligence; Semantic Web Stack; Software","score_opus":0.025705997504424927,"score_gpt":0.26546287857573847,"score_spread":0.23975688107131354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1479791303","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023512598,0.00032590522,0.98869765,0.00064370694,0.0001402946,0.00007791855,0.00011470742,0.0024919508,0.005156609],"genre_scores_gemma":[0.04174476,0.00073432777,0.9517407,0.0003853167,0.000117546784,0.00014394856,0.0006628976,0.0007540021,0.0037165207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968817,0.0011514074,0.00044565892,0.00025275027,0.001072402,0.00019607524],"domain_scores_gemma":[0.9958807,0.0020858364,0.00023031388,0.0010951897,0.00056472316,0.00014317557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048885224,0.0006825576,0.00067486387,0.0019336132,0.0009763927,0.0045349775,0.002120546,0.002028218,0.0025258004],"category_scores_gemma":[0.010284893,0.0013025755,0.0020110924,0.0014521511,0.0015160973,0.009620817,0.0044858223,0.0032570378,0.001711248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009812824,0.000231837,0.0008484715,0.0005029314,0.00011965296,0.00072744867,0.003032222,0.01757127,0.015953014,0.6382844,0.016053544,0.30657712],"study_design_scores_gemma":[0.00008121471,0.0000493719,0.00024758474,0.00042578718,0.00015214304,0.00051908236,0.00030883288,0.1625263,0.016180892,0.48375434,0.33566156,0.00009299226],"about_ca_topic_score_codex":0.003746045,"about_ca_topic_score_gemma":0.005789958,"teacher_disagreement_score":0.0048885224,"about_ca_system_score_codex":0.0010140303,"about_ca_system_score_gemma":0.0018808435,"threshold_uncertainty_score":0.025853276},"labels":[],"label_agreement":null},{"id":"W1480020698","doi":"10.1007/bfb0018392","title":"Representing and using protosemantic information in generating bus route descriptions","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Context (archaeology); Set (abstract data type); Representation (politics); Granularity; Domain (mathematical analysis); Simple (philosophy); Information retrieval; Theoretical computer science; Programming language; Geography","score_opus":0.03213965301034971,"score_gpt":0.26143970527248694,"score_spread":0.22930005226213723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480020698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062838,0.00040181604,0.9085804,0.00029465748,0.00013442348,0.00027706896,0.0045546424,0.009583858,0.013335156],"genre_scores_gemma":[0.20470461,0.0003833766,0.7823551,0.00008422776,0.000025914533,0.0001182095,0.0076312334,0.0010811655,0.0036161484],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959,0.00012441128,0.00003837954,0.000085067164,0.00012843755,0.000033744604],"domain_scores_gemma":[0.99874485,0.0007360507,0.000058348334,0.00018068413,0.00024416926,0.00003580715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009559943,0.00059591944,0.00040861784,0.0028214077,0.00077450706,0.0018438138,0.00086957373,0.0007519607,0.005268204],"category_scores_gemma":[0.0040748683,0.0006302534,0.0008641857,0.0024409855,0.00045739263,0.0026430653,0.0008599394,0.000587169,0.0018177874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054240506,0.00035668336,0.008198993,0.0008382519,0.0001275783,0.00163592,0.0028474657,0.13849664,0.017737705,0.09221251,0.02532354,0.7116823],"study_design_scores_gemma":[0.00005262956,0.0000812851,0.0013872981,0.00018739406,0.00019887854,0.00056872895,0.00094554236,0.8131164,0.045671627,0.06575406,0.07196277,0.0000734522],"about_ca_topic_score_codex":0.007399143,"about_ca_topic_score_gemma":0.01460048,"teacher_disagreement_score":0.007399143,"about_ca_system_score_codex":0.00091048365,"about_ca_system_score_gemma":0.0011308431,"threshold_uncertainty_score":0.017623961},"labels":[],"label_agreement":null},{"id":"W1482451904","doi":"10.1007/978-1-4302-6455-2_15","title":"Parsing, Creating, and Transforming XML Documents","year":2014,"lang":"en","type":"book-chapter","venue":"Apress eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Beekeepers' Association","funders":"","keywords":"Computer science; Efficient XML Interchange; Streaming XML; XML; XML Schema Editor; XML Signature; XML validation; XML Schema (W3C); Parsing; XML framework; Document Structure Description; World Wide Web; cXML; XML database; Information retrieval; Programming language","score_opus":0.01966538514268754,"score_gpt":0.23695674149650667,"score_spread":0.21729135635381913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482451904","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042194524,0.0074094106,0.7701388,0.0017228059,0.0011872139,0.00066926604,0.003301108,0.014737195,0.19661482],"genre_scores_gemma":[0.022764182,0.021285182,0.81060386,0.0011891236,0.00038519115,0.0005024417,0.011499071,0.005273321,0.12649766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889237,0.0001949795,0.000098217984,0.00018662759,0.0005658327,0.00006190945],"domain_scores_gemma":[0.9990633,0.00052278163,0.000039561728,0.00018635076,0.00016142684,0.000026672225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015269272,0.0011716896,0.00055561046,0.0024303915,0.0010941587,0.0053618466,0.0017547916,0.0012572969,0.014042762],"category_scores_gemma":[0.0040467572,0.0008070436,0.00095483585,0.005090693,0.001201367,0.004229667,0.0019073372,0.0022890912,0.017691098],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028164657,0.000084729065,0.0004281289,0.0009957751,0.00003701242,0.00036926626,0.0020926665,0.0023143126,0.011038689,0.17076749,0.10903716,0.7028067],"study_design_scores_gemma":[0.000007379971,0.00001508686,0.0003074465,0.00045021935,0.000017148606,0.0003942262,0.00029981305,0.0028434936,0.012006239,0.058822032,0.92480576,0.000031003823],"about_ca_topic_score_codex":0.0021093686,"about_ca_topic_score_gemma":0.0023378558,"teacher_disagreement_score":0.014042762,"about_ca_system_score_codex":0.00077170524,"about_ca_system_score_gemma":0.0016397085,"threshold_uncertainty_score":0.04697776},"labels":[],"label_agreement":null},{"id":"W1484156573","doi":"","title":"Curriculum Management and Review: an ontology-based solution.","year":2007,"lang":"en","type":"article","venue":"Unitn Eprints Research (Università Degli Studi di Trento)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sheridan College","funders":"","keywords":"Ontology; Computer science; Curriculum; Quality assurance; Quality (philosophy); Subject (documents); Knowledge management; Engineering management; Engineering; World Wide Web; Pedagogy; Operations management; Sociology","score_opus":0.07363282909981318,"score_gpt":0.360517848421795,"score_spread":0.28688501932198185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484156573","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014350175,0.024654828,0.7965519,0.054744247,0.0050106402,0.0047647497,0.010824753,0.0133685265,0.07573018],"genre_scores_gemma":[0.06717904,0.012842161,0.8479744,0.0038755618,0.0016114876,0.0015007693,0.012542058,0.0008804076,0.0515941],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98954016,0.0031855355,0.001342469,0.0014991394,0.004005484,0.00042717418],"domain_scores_gemma":[0.9831028,0.0035575852,0.0030158672,0.002849403,0.0059252586,0.0015490111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009444615,0.0007600511,0.0012189819,0.013186337,0.002454326,0.0077043874,0.002901121,0.0023045277,0.007733039],"category_scores_gemma":[0.022649216,0.0006480656,0.0016736017,0.010639559,0.0008677796,0.008523585,0.0046026483,0.0012879597,0.0042773453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007534531,0.00015831698,0.0024093767,0.0015697136,0.0001695158,0.00039644426,0.0010521567,0.0010444795,0.0028409858,0.030493189,0.1490968,0.81069356],"study_design_scores_gemma":[0.00007321509,0.00008080448,0.003302268,0.0007990684,0.00028984703,0.0010812747,0.0018321734,0.010193667,0.0036390151,0.04929237,0.9293075,0.00010871254],"about_ca_topic_score_codex":0.005080572,"about_ca_topic_score_gemma":0.012483372,"teacher_disagreement_score":0.013186337,"about_ca_system_score_codex":0.0023071375,"about_ca_system_score_gemma":0.011372668,"threshold_uncertainty_score":0.049948454},"labels":[],"label_agreement":null},{"id":"W1484663505","doi":"","title":"Integrating Legacy Educational Applications in Modern E-Learning Environments","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Interoperability; Computer science; Middleware (distributed applications); Legacy system; Ontology; Software engineering; Event (particle physics); Workflow; World Wide Web; Layer (electronics); Data science; Software; Distributed computing; Database; Operating system","score_opus":0.013969188687139637,"score_gpt":0.2534327919304619,"score_spread":0.23946360324332228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484663505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13516407,0.0016020049,0.739863,0.004095914,0.00057184574,0.00046378738,0.0003568207,0.016838752,0.101043805],"genre_scores_gemma":[0.5105772,0.0016466698,0.4291737,0.0014960233,0.00022849091,0.00014273923,0.0014039184,0.0018249531,0.053506255],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767977,0.00070539553,0.00022181019,0.0003146611,0.0008329762,0.00024534267],"domain_scores_gemma":[0.9953631,0.0010926905,0.00020576402,0.001855511,0.0008875733,0.0005953264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037023616,0.00059431506,0.00037992097,0.0020753418,0.0015534628,0.008848463,0.0021873948,0.0015738979,0.0050526555],"category_scores_gemma":[0.008698723,0.0005857724,0.0007040265,0.002436713,0.0007946744,0.009764119,0.006166239,0.0020422088,0.0030066075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023740872,0.0015001602,0.021303488,0.0004354156,0.00020773496,0.002345577,0.006435446,0.0073306873,0.021381268,0.07219792,0.018173253,0.8484516],"study_design_scores_gemma":[0.00005816937,0.0003533769,0.020171713,0.0006368238,0.0003228913,0.001586849,0.0060916115,0.08878953,0.03312191,0.12117375,0.7274877,0.00020569855],"about_ca_topic_score_codex":0.0028147735,"about_ca_topic_score_gemma":0.0051571736,"teacher_disagreement_score":0.008848463,"about_ca_system_score_codex":0.0010724503,"about_ca_system_score_gemma":0.0013882754,"threshold_uncertainty_score":0.019580185},"labels":[],"label_agreement":null},{"id":"W1484985443","doi":"10.1109/cogsima.2015.7108183","title":"Knowledge representation artifacts for use in sensemaking support systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Sensemaking; Computer science; Representation (politics); Knowledge representation and reasoning; Geospatial analysis; Analytic reasoning; Graph; Analytics; Data science; Artificial intelligence; Human–computer interaction; Reasoning system; Theoretical computer science","score_opus":0.23230438071830198,"score_gpt":0.3640777351170801,"score_spread":0.1317733543987781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484985443","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003977653,0.0002875077,0.9777724,0.0012702419,0.00013653417,0.00033176778,0.0005847112,0.0047635413,0.010875591],"genre_scores_gemma":[0.04993445,0.00048142017,0.94293606,0.00021745647,0.000047791455,0.00040131318,0.0019622778,0.00097283314,0.003046474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99271214,0.0032908341,0.0012284132,0.00063497096,0.0018491164,0.00028461876],"domain_scores_gemma":[0.9813138,0.006843938,0.0010242554,0.0085595455,0.0018883197,0.00037004714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011214181,0.0010704924,0.0009181092,0.0047549335,0.0017798642,0.012157611,0.0030648296,0.002240579,0.0070511145],"category_scores_gemma":[0.027730213,0.001078915,0.0022308263,0.0052547595,0.0019921863,0.010020308,0.005303912,0.0030786258,0.0030785466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016695034,0.00037365034,0.0014040722,0.0009763602,0.00014356979,0.0015888235,0.0073882267,0.011692071,0.008111207,0.5654355,0.017237876,0.38548163],"study_design_scores_gemma":[0.0001076874,0.00012708975,0.0009078334,0.0011182288,0.00020405099,0.0011743925,0.0019190831,0.057515062,0.023488019,0.379755,0.5335105,0.00017305579],"about_ca_topic_score_codex":0.0016340128,"about_ca_topic_score_gemma":0.0017064925,"teacher_disagreement_score":0.012157611,"about_ca_system_score_codex":0.0014189996,"about_ca_system_score_gemma":0.0026098595,"threshold_uncertainty_score":0.05930698},"labels":[],"label_agreement":null},{"id":"W1485177226","doi":"10.2218/ijdc.v10i1.367","title":"Harmonizing the Metadata Among Diverse Climate Change Datasets","year":2015,"lang":"en","type":"article","venue":"International Journal of Digital Curation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metadata; Discoverability; Computer science; Harmonization; Raw data; Data science; Data integration; Earth science; Metadata repository; Information retrieval; Database; World Wide Web; Geology","score_opus":0.19513323053149115,"score_gpt":0.3230249752385704,"score_spread":0.12789174470707923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485177226","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10432839,0.002985325,0.82129264,0.007872605,0.000519205,0.0017368473,0.02824094,0.005607885,0.027416274],"genre_scores_gemma":[0.26044407,0.0023260766,0.67632467,0.0014770385,0.00016644842,0.0008366086,0.054004386,0.0018188504,0.002601913],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9770768,0.008729301,0.0037944475,0.0033762392,0.0064936555,0.0005294872],"domain_scores_gemma":[0.93721235,0.013842178,0.0042522578,0.0321063,0.0118941255,0.0006928112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039649766,0.0005237095,0.0012155048,0.019103095,0.0019282372,0.0060707196,0.002824248,0.00078431313,0.0012485726],"category_scores_gemma":[0.07154022,0.0007275417,0.0016867869,0.02686192,0.0019427892,0.010642008,0.008324682,0.0020589102,0.000683461],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003325905,0.00046405135,0.1008342,0.0022779421,0.0018720506,0.00070569,0.012231968,0.023382433,0.021263815,0.14700317,0.03223246,0.6573996],"study_design_scores_gemma":[0.000113591406,0.00019718014,0.08952477,0.0021348,0.0011922622,0.00089853274,0.015296384,0.040541425,0.040131275,0.23078577,0.5787541,0.00042996614],"about_ca_topic_score_codex":0.0070150634,"about_ca_topic_score_gemma":0.008859264,"teacher_disagreement_score":0.039649766,"about_ca_system_score_codex":0.0022485382,"about_ca_system_score_gemma":0.0057963817,"threshold_uncertainty_score":0.20969051},"labels":[],"label_agreement":null},{"id":"W1485721381","doi":"10.3233/ao-2012-0111","title":"Ontology for Big Systems: The Ontology Summit 2012 Communiqué","year":2012,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institute of Standards and Technology","keywords":"Computer science; Ontology; Summit; Upper ontology; Process ontology; Ontology alignment; Information retrieval; Data science; World Wide Web; Semantic Web; Epistemology","score_opus":0.048687219827814036,"score_gpt":0.26983879946407935,"score_spread":0.2211515796362653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485721381","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010512803,0.04508869,0.030453768,0.76137185,0.09137267,0.0004180954,0.0021232972,0.0004893798,0.058169413],"genre_scores_gemma":[0.25394857,0.08213848,0.06756726,0.13380472,0.08433702,0.002131466,0.012232956,0.0030755051,0.36076403],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9894783,0.0027007444,0.00042219463,0.00077743764,0.0048711994,0.0017502233],"domain_scores_gemma":[0.9855012,0.0043919403,0.00038848902,0.0011270539,0.004395106,0.004196188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.041225523,0.0013860645,0.0010435808,0.002773675,0.007703516,0.012158092,0.0019216632,0.008952082,0.0068765148],"category_scores_gemma":[0.022542672,0.0006724926,0.0014480306,0.002738085,0.0051379707,0.014567121,0.011826683,0.010197058,0.0019150057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009828746,0.00013468746,0.0003838981,0.00028008706,0.000026023945,0.00013965947,0.0010415448,0.00072510686,0.0007586825,0.113565594,0.8425394,0.040307112],"study_design_scores_gemma":[0.00004037804,0.000025552183,0.0008278224,0.0002690564,0.000013694768,0.000038864597,0.0008239834,0.0009611135,0.00079184526,0.03005227,0.9661244,0.000031078187],"about_ca_topic_score_codex":0.046237048,"about_ca_topic_score_gemma":0.088703096,"teacher_disagreement_score":0.046237048,"about_ca_system_score_codex":0.014081404,"about_ca_system_score_gemma":0.031461142,"threshold_uncertainty_score":0.21802402},"labels":[],"label_agreement":null},{"id":"W1487518246","doi":"10.1007/978-3-540-89765-1_2","title":"Semantic Science: Ontologies, Data and Probabilistic Theories","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Probabilistic logic; Data science; Domain (mathematical analysis); Artificial intelligence; Mathematics","score_opus":0.0349937337360162,"score_gpt":0.2701180306959181,"score_spread":0.23512429695990192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1487518246","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036082147,0.27184355,0.5085483,0.020254876,0.0047638835,0.000103543476,0.001086929,0.00094126747,0.18884942],"genre_scores_gemma":[0.22469191,0.27730143,0.32746077,0.011699836,0.015254734,0.0007999158,0.004985227,0.0011575108,0.13664883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99875903,0.0003826232,0.00010780985,0.00016744417,0.00053696823,0.000046195157],"domain_scores_gemma":[0.99858546,0.00098428,0.00006594243,0.00015758417,0.00015732681,0.00004934764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016937281,0.001200161,0.0017213853,0.0035207223,0.0010428608,0.007166964,0.0015483806,0.0027204095,0.008618408],"category_scores_gemma":[0.0046277978,0.0009515954,0.0007203614,0.0077635655,0.0055463733,0.0156128835,0.002324539,0.003898206,0.0034684895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008815166,0.000015032431,0.00008650971,0.00037851528,0.000017462171,0.00004335056,0.00026914806,0.0007961106,0.00018142734,0.9222588,0.029327745,0.046617128],"study_design_scores_gemma":[0.0000029110536,0.0000027168858,0.0000529685,0.00012204156,0.000005983762,0.00009163576,0.000064161846,0.0010585651,0.00008407728,0.9084414,0.09006654,0.000007020884],"about_ca_topic_score_codex":0.0013633182,"about_ca_topic_score_gemma":0.0012426646,"teacher_disagreement_score":0.008618408,"about_ca_system_score_codex":0.0019102669,"about_ca_system_score_gemma":0.0018258404,"threshold_uncertainty_score":0.028831482},"labels":[],"label_agreement":null},{"id":"W1489507727","doi":"10.1007/978-3-540-75975-1_20","title":"The Use of Ontologies and Rules to Assist in Academic Advising","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ontology; Interoperability; Computer science; Grading (engineering); Upper ontology; Knowledge management; World Wide Web; Engineering management; Engineering ethics; Software engineering; Data science; Mathematics education; Semantic Web; Engineering; Psychology; Epistemology","score_opus":0.0861654985409858,"score_gpt":0.31202468294865304,"score_spread":0.22585918440766722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489507727","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023825796,0.0041567315,0.85017943,0.006394852,0.00085489935,0.00039689953,0.0019575616,0.006542385,0.10569151],"genre_scores_gemma":[0.13335179,0.0027923496,0.84800774,0.00074297126,0.00012830384,0.00015032977,0.001995117,0.00031350963,0.012517869],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964972,0.0012819343,0.0005093394,0.00040707688,0.0011757617,0.00012857757],"domain_scores_gemma":[0.9885667,0.0076359436,0.0005981429,0.0015671107,0.0013951163,0.00023707649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005620519,0.0005125944,0.0004952165,0.0032938982,0.000944436,0.005089633,0.0020454242,0.0015882719,0.004100122],"category_scores_gemma":[0.02151033,0.00061304664,0.000706979,0.0033095179,0.0015408377,0.008631324,0.0022663623,0.0015441056,0.0022188565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011489217,0.00023482568,0.0030650494,0.0005324262,0.00009644187,0.00062029675,0.0018399621,0.01170671,0.0023644594,0.20296746,0.04157568,0.7348817],"study_design_scores_gemma":[0.000075606586,0.00005998338,0.0023530212,0.0008283973,0.0002128095,0.0011037558,0.0012978035,0.11139686,0.01145856,0.4069361,0.4641368,0.00014022547],"about_ca_topic_score_codex":0.006830312,"about_ca_topic_score_gemma":0.0085031865,"teacher_disagreement_score":0.006830312,"about_ca_system_score_codex":0.0006795148,"about_ca_system_score_gemma":0.0020352914,"threshold_uncertainty_score":0.029724538},"labels":[],"label_agreement":null},{"id":"W1492287330","doi":"10.3233/978-1-60750-535-8-317","title":"Ontology Verification with Repositories","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; World Wide Web; Information retrieval; Software engineering; Philosophy; Epistemology","score_opus":0.027406476257943433,"score_gpt":0.2529201415850654,"score_spread":0.22551366532712194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492287330","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008105437,0.00084130384,0.96391565,0.0018028305,0.0002622341,0.00017314593,0.00022905975,0.0028777542,0.02179259],"genre_scores_gemma":[0.25647303,0.0016856502,0.7151724,0.00087543007,0.000227517,0.00032920786,0.001511668,0.0013380151,0.02238713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9802649,0.00744581,0.0015769786,0.0022819797,0.007534416,0.0008958418],"domain_scores_gemma":[0.97286123,0.012060468,0.0011048625,0.010378862,0.0033164707,0.00027803073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017059097,0.0008375611,0.001154462,0.0032051925,0.0023827236,0.009303022,0.004952521,0.0033071265,0.0063844654],"category_scores_gemma":[0.041217346,0.0011437977,0.003254613,0.0040366547,0.004630995,0.028967168,0.0100917965,0.0051032114,0.003026137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004993497,0.000039733874,0.00047419153,0.00021676495,0.000043484244,0.0002943017,0.0006018538,0.008181693,0.0012827629,0.9164133,0.0032887978,0.06911312],"study_design_scores_gemma":[0.000035920988,0.000040701405,0.00016002909,0.00024853318,0.000076152355,0.0006119443,0.0002637724,0.07682479,0.0153479185,0.8236462,0.08268474,0.000059364957],"about_ca_topic_score_codex":0.0048490483,"about_ca_topic_score_gemma":0.0025896118,"teacher_disagreement_score":0.017059097,"about_ca_system_score_codex":0.0033897818,"about_ca_system_score_gemma":0.0051236143,"threshold_uncertainty_score":0.090218246},"labels":[],"label_agreement":null},{"id":"W1492826849","doi":"10.22329/il.v24i2.2138","title":"Reasoning in Theory and Practice (OSSA 2005 Keynote Address)","year":2004,"lang":"en","type":"article","venue":"Informal Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Contingency; Epistemology; Field (mathematics); Best practice; Politics; Critical theory; Sociology; Political science; Law; Philosophy","score_opus":0.02006693239749318,"score_gpt":0.2923326665683617,"score_spread":0.2722657341708685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492826849","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002324087,0.20148656,0.06399315,0.19158687,0.0151982745,0.00009945762,0.0007832028,0.00051143375,0.524017],"genre_scores_gemma":[0.24872476,0.13905306,0.07696447,0.059574347,0.028445944,0.00092931313,0.0018384781,0.0014474408,0.44302216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99762815,0.0014668896,0.00012835673,0.0002637429,0.00041052065,0.00010233968],"domain_scores_gemma":[0.99656665,0.0022938303,0.0001533197,0.00027688264,0.000560946,0.00014831148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043628793,0.0010653691,0.00088398746,0.0036062354,0.0035335168,0.00897167,0.00097065786,0.0054372973,0.03817302],"category_scores_gemma":[0.0070310785,0.00084908993,0.0013729824,0.004397822,0.011327641,0.011519454,0.0031922099,0.0066213184,0.009067783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029065224,0.000022687824,0.00023204717,0.00019537909,0.000027702323,0.00009661678,0.0014982515,0.0004565519,0.00011846646,0.71398354,0.25131246,0.03202731],"study_design_scores_gemma":[0.000016629403,0.000012208323,0.00048719655,0.0005146361,0.000017850462,0.00014797572,0.0007118017,0.00045923595,0.00008631348,0.41965842,0.57787323,0.000014451554],"about_ca_topic_score_codex":0.013532022,"about_ca_topic_score_gemma":0.013022776,"teacher_disagreement_score":0.03817302,"about_ca_system_score_codex":0.008580536,"about_ca_system_score_gemma":0.0032273724,"threshold_uncertainty_score":0.12770146},"labels":[],"label_agreement":null},{"id":"W1493144150","doi":"10.22329/il.v30i1.419","title":"Argument Explanation Complementarity and the Structure of Informal Reasoning","year":2010,"lang":"en","type":"article","venue":"Informal Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Complementarity (molecular biology); Argument (complex analysis); Epistemology; Argument map; Logical reasoning; Informal logic; Sociology; Cognitive science; Argumentation theory; Philosophy; Psychology","score_opus":0.012981263907303328,"score_gpt":0.24339327231801577,"score_spread":0.23041200841071244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493144150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088093415,0.011983571,0.50658983,0.12635477,0.010935328,0.00020166772,0.00036060315,0.00059118925,0.2548897],"genre_scores_gemma":[0.94835943,0.0013563072,0.03718301,0.0028751248,0.0041270996,0.00012439155,0.000093199,0.00009438388,0.005786963],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.984463,0.010178642,0.0009781183,0.0009961333,0.002920512,0.0004635053],"domain_scores_gemma":[0.90184456,0.082148544,0.0038799094,0.0041805087,0.0072227134,0.000723849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0103568705,0.00036596958,0.0005830497,0.004199086,0.0032696691,0.008407836,0.0010131312,0.0030169482,0.004689782],"category_scores_gemma":[0.05603872,0.00042862073,0.0005537434,0.002344226,0.018509274,0.012119849,0.0037821736,0.0039056004,0.00031195904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017800878,0.0000048731677,0.00011752795,0.000059515012,0.000007500746,0.0000591646,0.0011469467,0.00020227897,0.000087339606,0.99264526,0.0018713376,0.0037804528],"study_design_scores_gemma":[0.000016575548,0.0000074496543,0.00018362977,0.00012143299,0.000015568494,0.00006825169,0.00038353336,0.0015011808,0.00026088677,0.9758497,0.02158213,0.000009604258],"about_ca_topic_score_codex":0.0005767241,"about_ca_topic_score_gemma":0.00073790445,"teacher_disagreement_score":0.0103568705,"about_ca_system_score_codex":0.0033309432,"about_ca_system_score_gemma":0.0028247489,"threshold_uncertainty_score":0.054773033},"labels":[],"label_agreement":null},{"id":"W149320508","doi":"","title":"Ontology granulation through inductive decision trees","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Ontology; Semantics (computer science); Ontology components; Ontology alignment; Information retrieval; Semantic Web; Upper ontology; Process ontology; Matching (statistics); Ontology-based data integration; Web Ontology Language; Data mining; Data science; Programming language","score_opus":0.026849996808292524,"score_gpt":0.291409909348664,"score_spread":0.2645599125403715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149320508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012943455,0.000096731244,0.984923,0.00017252237,0.000017120878,0.00012956349,0.00010525925,0.0004928984,0.0011194482],"genre_scores_gemma":[0.18017761,0.00015084125,0.81721175,0.00015246686,0.00005079973,0.0003447855,0.0008293184,0.00010477764,0.0009776904],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964174,0.0012689589,0.00035476478,0.000478452,0.0012537955,0.00022658754],"domain_scores_gemma":[0.98179,0.015032226,0.00069493253,0.001207519,0.0011274191,0.00014788224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046028495,0.00050898787,0.0013371132,0.0028451572,0.0010990661,0.0017216343,0.0017173209,0.0009154306,0.0022919571],"category_scores_gemma":[0.019723019,0.0006286992,0.0017563417,0.0028582842,0.0016275714,0.002811891,0.0027623614,0.0018560217,0.00042164983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024228606,0.00024053588,0.0040417076,0.0003474469,0.00012943038,0.00045747103,0.0011555747,0.41964686,0.0043527833,0.13860713,0.003533877,0.42724502],"study_design_scores_gemma":[0.000030575215,0.000019553287,0.00019536428,0.000030781623,0.000023116212,0.00004763874,0.000056022254,0.89648575,0.0018122757,0.099016145,0.0022730783,0.000009735403],"about_ca_topic_score_codex":0.0032706673,"about_ca_topic_score_gemma":0.005624928,"teacher_disagreement_score":0.0046028495,"about_ca_system_score_codex":0.0014736439,"about_ca_system_score_gemma":0.001552994,"threshold_uncertainty_score":0.024342477},"labels":[],"label_agreement":null},{"id":"W1493611051","doi":"","title":"An Integrative Proximity Measure for Ontology Alignment","year":2003,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Ontology; Ontology alignment; Task (project management); Variety (cybernetics); Measure (data warehouse); Similarity (geometry); Ontology components; Information retrieval; Similarity measure; Process ontology; Semantic Web; Data mining; Artificial intelligence; Image (mathematics)","score_opus":0.040803309720945584,"score_gpt":0.30768964241639096,"score_spread":0.26688633269544537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493611051","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01512804,0.001021563,0.9775384,0.00024614434,0.00012747507,0.00009881475,0.0002172765,0.0003560194,0.005266144],"genre_scores_gemma":[0.22123107,0.0009778006,0.77278775,0.00013129885,0.00040655935,0.0003489993,0.0008837067,0.00018745236,0.0030454083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952068,0.0010199324,0.0004209923,0.0010439563,0.0021292155,0.00017912949],"domain_scores_gemma":[0.99519783,0.001928016,0.000618429,0.00074773195,0.0011952147,0.00031268923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024750682,0.00064776116,0.0013542133,0.00826227,0.0014581687,0.0034846563,0.0016862521,0.001481472,0.0026010987],"category_scores_gemma":[0.01387741,0.00029815253,0.0008455656,0.010065535,0.0018801177,0.007153964,0.0038168957,0.0016027228,0.000927681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015699059,0.00015866052,0.003244068,0.00041499405,0.00016272864,0.00022865513,0.00074243254,0.02644015,0.013267757,0.4889273,0.0074486835,0.45880756],"study_design_scores_gemma":[0.000041975654,0.0004386291,0.006208317,0.00015074195,0.00016969124,0.0016342977,0.00073079584,0.37181407,0.014092343,0.5597073,0.044843756,0.00016820618],"about_ca_topic_score_codex":0.00072948495,"about_ca_topic_score_gemma":0.0006745221,"teacher_disagreement_score":0.00826227,"about_ca_system_score_codex":0.0014129707,"about_ca_system_score_gemma":0.001060661,"threshold_uncertainty_score":0.013089538},"labels":[],"label_agreement":null},{"id":"W149413262","doi":"","title":"Extracting Knowledge from Technical Documents.","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Natural language processing; Data science","score_opus":0.024215306454868163,"score_gpt":0.2841146407676873,"score_spread":0.2598993343128191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149413262","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08518189,0.021873953,0.13046147,0.06910425,0.04504695,0.0040537696,0.040265653,0.013030766,0.59098136],"genre_scores_gemma":[0.2679136,0.015482143,0.11270105,0.004727347,0.011168503,0.0010928968,0.06971277,0.0041054473,0.5130961],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9926443,0.001593834,0.0006427272,0.0006585686,0.0041703735,0.0002900778],"domain_scores_gemma":[0.92851865,0.014651469,0.0027412844,0.0077689234,0.044531085,0.001788501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069278264,0.00055164937,0.000979577,0.00892949,0.0029205382,0.005155887,0.001568362,0.002190114,0.092426755],"category_scores_gemma":[0.06871722,0.0004414843,0.00086819316,0.005707268,0.00085819094,0.005376027,0.0028483884,0.0013409844,0.078499235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002078525,0.00012330635,0.0038444558,0.0018565857,0.000087411536,0.0011653682,0.00066587847,0.000299286,0.0076103676,0.005644077,0.56424063,0.41425478],"study_design_scores_gemma":[0.000049290185,0.00008174709,0.0082241325,0.0009324674,0.00012466272,0.0010304626,0.0013484404,0.0020497837,0.010673575,0.010239276,0.9651822,0.00006388742],"about_ca_topic_score_codex":0.0016593751,"about_ca_topic_score_gemma":0.0041409135,"teacher_disagreement_score":0.092426755,"about_ca_system_score_codex":0.0007932743,"about_ca_system_score_gemma":0.0043852003,"threshold_uncertainty_score":0.30919826},"labels":[],"label_agreement":null},{"id":"W1494263632","doi":"10.5555/1784542.1784602","title":"A conceptual framework to support semantic interoperability of geospatial datacubes","year":2007,"lang":"en","type":"article","venue":"International Conference on Conceptual Modeling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Computer science; Geospatial analysis; Interoperability; Information retrieval; Geospatial PDF; Semantic interoperability; Database; Data science; World Wide Web; Geography; Remote sensing","score_opus":0.11885152908294887,"score_gpt":0.35264895099644666,"score_spread":0.23379742191349778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494263632","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021927152,0.00018313395,0.99141085,0.00044856677,0.0001060084,0.00021471297,0.00025933562,0.0021464678,0.003038146],"genre_scores_gemma":[0.05062857,0.0004295551,0.9441792,0.00022102242,0.00007731811,0.0004085411,0.0013266342,0.00045620062,0.002272987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947259,0.0014312477,0.0010004506,0.00062766665,0.001736707,0.00047805245],"domain_scores_gemma":[0.9951018,0.0011667528,0.00032803908,0.0014849096,0.0014033417,0.0005152026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011077461,0.000985097,0.0014344634,0.004238022,0.0036933196,0.011476806,0.004977263,0.003469609,0.005065239],"category_scores_gemma":[0.012909312,0.0015205938,0.0033757156,0.0048261704,0.0034565525,0.011800547,0.00799166,0.003957331,0.0015204772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005474759,0.0000933324,0.00054653094,0.00020660127,0.00007002985,0.00029164858,0.0010366361,0.018517671,0.0018883182,0.9318078,0.00657429,0.03891243],"study_design_scores_gemma":[0.00009346684,0.000079870675,0.0002882759,0.00046439352,0.00019512832,0.00044842355,0.00090979226,0.26508963,0.0062733144,0.4780171,0.24801429,0.00012625338],"about_ca_topic_score_codex":0.015961437,"about_ca_topic_score_gemma":0.01835656,"teacher_disagreement_score":0.015961437,"about_ca_system_score_codex":0.0024460868,"about_ca_system_score_gemma":0.005768754,"threshold_uncertainty_score":0.058583915},"labels":[],"label_agreement":null},{"id":"W1494455967","doi":"10.1007/978-0-387-35602-0","title":"Intelligent information processing : IFIP 17th World Computer Congress - TC12 stream on intelligent information processing, August 25-30, 2002, Montréal, Québec, Canada","year":2002,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Semantic Web; Ontology; Artificial intelligence; Social Semantic Web; World Wide Web; Information retrieval","score_opus":0.016044021917008155,"score_gpt":0.21512757651933287,"score_spread":0.1990835546023247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1494455967","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007992524,0.07051029,0.2193224,0.014261864,0.020891026,0.0008617836,0.011803604,0.011915491,0.64244103],"genre_scores_gemma":[0.010734642,0.023085315,0.034913205,0.0006038648,0.0009830385,0.00014657102,0.008349812,0.0014277899,0.9197558],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939895,0.000071233204,0.000031923333,0.00008793073,0.00030693915,0.00010306443],"domain_scores_gemma":[0.99867046,0.00013359632,0.000020771195,0.00015475113,0.00088445604,0.00013609129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016382586,0.0016673657,0.0017366764,0.0018038901,0.0016390582,0.0048942803,0.0019029025,0.0015107838,0.11536621],"category_scores_gemma":[0.0015199546,0.0006612615,0.0006646928,0.0042278417,0.0012980637,0.0028346693,0.0012676724,0.0020807874,0.061389398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075448625,0.000057753652,0.0002320699,0.00018215844,0.000019756815,0.00004151034,0.000093415554,0.0006710271,0.0011667738,0.0057361024,0.7949017,0.19682224],"study_design_scores_gemma":[0.000025309366,0.000040289644,0.0014663026,0.00021414665,0.000035619018,0.0001145391,0.00011337268,0.0045250296,0.0023161303,0.004810245,0.9863114,0.000027672795],"about_ca_topic_score_codex":0.16891773,"about_ca_topic_score_gemma":0.28071824,"teacher_disagreement_score":0.8310823,"about_ca_system_score_codex":0.0038614352,"about_ca_system_score_gemma":0.006334508,"threshold_uncertainty_score":0.38593847},"labels":[],"label_agreement":null},{"id":"W1498753860","doi":"10.1007/11686699_57","title":"Collaborative Virtual Learning Model for Web Intelligence","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Visualization; Human–computer interaction; Collaborative learning; Process (computing); World Wide Web; Information visualization; Multimedia; Knowledge management; Artificial intelligence","score_opus":0.020795546257136494,"score_gpt":0.263190072634453,"score_spread":0.24239452637731648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498753860","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012994436,0.00047091124,0.93098855,0.0011506148,0.00017858592,0.00014716032,0.00027221988,0.00084818684,0.052949358],"genre_scores_gemma":[0.5206572,0.00074811094,0.40206406,0.00033410627,0.00016807241,0.0006753278,0.0009988144,0.0002109695,0.07414329],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895334,0.00039968186,0.00006214009,0.00018537845,0.0002985197,0.00010082264],"domain_scores_gemma":[0.9990183,0.00035203891,0.000048947477,0.0002710901,0.0001774246,0.0001322134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011170475,0.00045986162,0.00057518354,0.00085099495,0.0012564169,0.0031365487,0.0029107996,0.0016512099,0.012083508],"category_scores_gemma":[0.0029077565,0.00024609486,0.0008708817,0.0012129038,0.0011470006,0.0064904517,0.002484137,0.0014803009,0.002571038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010003103,0.00021484445,0.00029519782,0.00007406417,0.00003320597,0.0001451343,0.0003301862,0.05767618,0.00052456174,0.8508281,0.009713781,0.08006465],"study_design_scores_gemma":[0.000043278043,0.000052310832,0.00013892654,0.00003071306,0.000030750136,0.00012239302,0.00011729274,0.44686392,0.0007556248,0.519407,0.032415632,0.000022105105],"about_ca_topic_score_codex":0.0044884146,"about_ca_topic_score_gemma":0.0045053675,"teacher_disagreement_score":0.012083508,"about_ca_system_score_codex":0.001359463,"about_ca_system_score_gemma":0.0015375371,"threshold_uncertainty_score":0.040423334},"labels":[],"label_agreement":null},{"id":"W1500529006","doi":"10.1007/978-3-540-25983-1_12","title":"Impreciseness and Its Value from the Perspective of Software Organizations and Learning","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Perspective (graphical); Abstraction; Task (project management); Relation (database); Implementation; Software; Artificial intelligence; Value (mathematics); Dependency (UML); Software engineering; Human–computer interaction; Machine learning; Programming language; Data mining; Epistemology; Systems engineering","score_opus":0.011757888619634583,"score_gpt":0.23472208960009924,"score_spread":0.22296420098046466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500529006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07701122,0.04672194,0.40614095,0.082524545,0.0010432624,0.00008822202,0.0004731994,0.00019927777,0.38579738],"genre_scores_gemma":[0.9394227,0.010081211,0.038504276,0.0016157749,0.0009899978,0.00010884966,0.00012102961,0.00007920733,0.00907691],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943329,0.0027977494,0.0003238905,0.00071163784,0.0015120682,0.00032190795],"domain_scores_gemma":[0.9771574,0.016441245,0.0013989478,0.0032403904,0.001196741,0.0005651319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006562213,0.0006849614,0.0012642491,0.003478611,0.003207957,0.013324414,0.0026873273,0.0051377756,0.0043451167],"category_scores_gemma":[0.020165123,0.00088291254,0.000990658,0.0045526223,0.040943004,0.038313124,0.00564021,0.007462988,0.0004756178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000077318045,0.0000064508376,0.0000951113,0.000026218044,0.000008462824,0.00004142401,0.0005814622,0.00087646925,0.000022563161,0.99496883,0.00028925142,0.0030761156],"study_design_scores_gemma":[0.0000020356676,0.0000020500024,0.000033466746,0.000020659007,0.0000037610075,0.000021838767,0.00018734377,0.00042177606,0.00002154364,0.9968656,0.0024163586,0.0000034998786],"about_ca_topic_score_codex":0.0034425538,"about_ca_topic_score_gemma":0.002820296,"teacher_disagreement_score":0.013324414,"about_ca_system_score_codex":0.0047960905,"about_ca_system_score_gemma":0.0025157891,"threshold_uncertainty_score":0.034798205},"labels":[],"label_agreement":null},{"id":"W1503354104","doi":"10.1007/978-0-387-34347-1_14","title":"Completion Rules for Uncertainty Reasoning with the Description Logic ALC","year":2006,"lang":"en","type":"book-chapter","venue":"Semantic web and beyond","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Description logic; Computer science; Web Ontology Language; Ontology; Expressive power; Semantic Web; Knowledge base; Popularity; Theoretical computer science; Ontology language; Foundation (evidence); Artificial intelligence","score_opus":0.02314672149685751,"score_gpt":0.22611379211800528,"score_spread":0.20296707062114777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503354104","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004343042,0.0014095162,0.96807,0.0014040336,0.0001790265,0.0001490501,0.0004802017,0.0007572384,0.023207992],"genre_scores_gemma":[0.2933944,0.0022166823,0.68260145,0.000930571,0.00063699845,0.00053294346,0.0028534543,0.0005991473,0.016234308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9940339,0.0020906222,0.0006248738,0.0006286352,0.0023008317,0.00032118752],"domain_scores_gemma":[0.99086624,0.006053728,0.0002488031,0.0012581288,0.0013301421,0.00024300089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063683605,0.0010717144,0.0015187894,0.0027380823,0.0018969978,0.0052130166,0.0043060845,0.0022591194,0.009282166],"category_scores_gemma":[0.018054575,0.0011928531,0.0031280331,0.0028684607,0.0049345917,0.0120616965,0.0040998785,0.0069832276,0.0023351847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047757676,0.000044389904,0.00009777526,0.0001601774,0.000042282638,0.00009345667,0.00021941164,0.010145672,0.0003253193,0.9524853,0.006756721,0.02958159],"study_design_scores_gemma":[0.000011309616,0.000003703126,0.000019770252,0.000022880502,0.00001412376,0.000023328286,0.000024283388,0.03106301,0.00031522394,0.964184,0.0043064253,0.000011979342],"about_ca_topic_score_codex":0.008234431,"about_ca_topic_score_gemma":0.005482724,"teacher_disagreement_score":0.009282166,"about_ca_system_score_codex":0.0027656516,"about_ca_system_score_gemma":0.002291037,"threshold_uncertainty_score":0.033679485},"labels":[],"label_agreement":null},{"id":"W1503483059","doi":"","title":"Formal aspects of querying RDF databases","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; RDF; RDF query language; RDF/XML; Reification (Marxism); Query language; Blank; Information retrieval; SPARQL; Database; Query optimization; Redundancy (engineering); Formal grammar; Materialized view; Programming language; View; Web query classification; Web search query; Database design; Semantic Web; Natural language processing; Search engine","score_opus":0.04224517759404304,"score_gpt":0.27221607782811114,"score_spread":0.2299709002340681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503483059","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008766155,0.0012929117,0.976435,0.0040595755,0.00012870562,0.00014113216,0.00019195455,0.0003718206,0.008612739],"genre_scores_gemma":[0.27460274,0.00445638,0.7073159,0.001914409,0.0011544378,0.0007597946,0.0015735399,0.00056522375,0.007657461],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98398465,0.0065013063,0.0018388185,0.0017279029,0.0050782035,0.0008691947],"domain_scores_gemma":[0.9774315,0.016189804,0.0013700495,0.00254082,0.0020975505,0.0003703101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0142633375,0.0014476638,0.0010509859,0.0027292948,0.002659149,0.007916727,0.003560079,0.003381753,0.0032518946],"category_scores_gemma":[0.035231803,0.0016604135,0.0031076476,0.00392132,0.010242001,0.027005004,0.0044979462,0.005229266,0.00069537194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022992837,0.000039556573,0.0002427281,0.00016814742,0.00002093422,0.0001434756,0.0006333746,0.0061263707,0.0007540251,0.9821714,0.0010022008,0.008674755],"study_design_scores_gemma":[0.000023748096,0.000024807983,0.00008648248,0.00011285586,0.000031790594,0.0002846997,0.00032890006,0.030729402,0.0018372709,0.94657904,0.019928249,0.000032718566],"about_ca_topic_score_codex":0.0041028876,"about_ca_topic_score_gemma":0.002844676,"teacher_disagreement_score":0.0142633375,"about_ca_system_score_codex":0.0034991081,"about_ca_system_score_gemma":0.0026127594,"threshold_uncertainty_score":0.0754326},"labels":[],"label_agreement":null},{"id":"W1508543649","doi":"10.1007/978-3-540-30470-8_12","title":"Knowledge Signatures for Information Integration","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Information integration; Data science; Data integration; Sorting; Information retrieval; Semantics (computer science); World Wide Web; Data mining","score_opus":0.019243485725599103,"score_gpt":0.2621367415426968,"score_spread":0.24289325581709767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508543649","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034328953,0.0022441386,0.96962386,0.0011452514,0.00045871703,0.00017354851,0.00051516434,0.003613326,0.018792992],"genre_scores_gemma":[0.11476879,0.0024900388,0.8554039,0.00066586805,0.0004740106,0.0004081553,0.002770319,0.00085929123,0.022159657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958112,0.0011277428,0.00055949745,0.00070706673,0.0015551049,0.0002393725],"domain_scores_gemma":[0.9959306,0.0012352753,0.00017704703,0.0019101277,0.00063221477,0.00011475317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003269857,0.0009584045,0.0020183367,0.0035449886,0.0018479985,0.0064461874,0.00276875,0.0022064974,0.009890841],"category_scores_gemma":[0.007662031,0.0009641438,0.0015729151,0.005777085,0.0029449277,0.018535323,0.0053735008,0.0035341613,0.0056824307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070838825,0.000060728536,0.00013667608,0.00019292644,0.000036134003,0.00009496856,0.00020993936,0.0027627714,0.00089211256,0.72412866,0.012254346,0.25915977],"study_design_scores_gemma":[0.000011410612,0.000012855728,0.000048978596,0.00007641595,0.000027971324,0.00011404885,0.00007200095,0.02096689,0.002011634,0.9329398,0.043699082,0.00001882252],"about_ca_topic_score_codex":0.0012155719,"about_ca_topic_score_gemma":0.0010455372,"teacher_disagreement_score":0.009890841,"about_ca_system_score_codex":0.0018502938,"about_ca_system_score_gemma":0.0018245226,"threshold_uncertainty_score":0.033088207},"labels":[],"label_agreement":null},{"id":"W1510506302","doi":"","title":"Ontologies for dates and duration","year":2010,"lang":"en","type":"article","venue":"Principles of Knowledge Representation and Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Duration (music); Timeline; Computer science; Ontology; Metric (unit); Mathematics; Statistics","score_opus":0.04243871134609954,"score_gpt":0.3232519904105558,"score_spread":0.28081327906445624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1510506302","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055172415,0.0054997583,0.8560578,0.005816428,0.0014883048,0.0002485068,0.0038502873,0.0012962434,0.1202254],"genre_scores_gemma":[0.19651613,0.0133266095,0.74031115,0.0029132264,0.001873405,0.0010630564,0.0075598476,0.0006359791,0.035800565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99605966,0.0011652175,0.00064376614,0.0007749906,0.0010710211,0.00028528043],"domain_scores_gemma":[0.99532324,0.0019500055,0.0006470776,0.00096636725,0.00081251666,0.00030072953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037432415,0.00097169454,0.0008827102,0.005648413,0.003605105,0.0063351593,0.0020682565,0.0023956238,0.0076783844],"category_scores_gemma":[0.008750838,0.0007716277,0.002401098,0.0062261405,0.0044579324,0.018424615,0.0037025148,0.004484153,0.0020731566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006358522,0.0000059557988,0.000082872844,0.000051511615,0.000005515756,0.00004056062,0.00029385433,0.0006861558,0.00010644485,0.9876495,0.002979499,0.008091722],"study_design_scores_gemma":[0.000008793957,0.0000063791827,0.00025215733,0.00015491749,0.000022303977,0.000249843,0.0003512238,0.003658053,0.00025287812,0.70162827,0.2933905,0.00002472954],"about_ca_topic_score_codex":0.012518255,"about_ca_topic_score_gemma":0.0073453295,"teacher_disagreement_score":0.012518255,"about_ca_system_score_codex":0.0035278092,"about_ca_system_score_gemma":0.0037240537,"threshold_uncertainty_score":0.0256868},"labels":[],"label_agreement":null},{"id":"W1511467690","doi":"10.1007/978-0-387-34347-1_13","title":"Resolution Based Explanations for Reasoning in the Description Logic ALC","year":2006,"lang":"en","type":"book-chapter","venue":"Semantic web and beyond","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Description logic; Construct (python library); Resolution (logic); Computer science; Automated reasoning; Non-monotonic logic; Artificial intelligence; Theoretical computer science; Natural language processing; Programming language","score_opus":0.03325301858308187,"score_gpt":0.24494817631865862,"score_spread":0.21169515773557673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511467690","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046430347,0.0061368453,0.95006967,0.003997772,0.0002782133,0.0001063224,0.0004360141,0.0009285422,0.033403546],"genre_scores_gemma":[0.28164595,0.005877757,0.6834265,0.0012664429,0.00070424867,0.00037723858,0.0019874792,0.00041743641,0.02429694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995307,0.0021865056,0.0004030662,0.00043116312,0.001458264,0.00021399888],"domain_scores_gemma":[0.99369377,0.0047289114,0.00017890903,0.00072589295,0.0005554778,0.0001170616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004086327,0.0010405777,0.0012330355,0.002631499,0.0015665435,0.0057552946,0.00410594,0.0033743766,0.010376174],"category_scores_gemma":[0.012735507,0.0011605859,0.0022814937,0.0034970453,0.004549762,0.012757007,0.0033998068,0.005611175,0.0017621666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022340624,0.000019919036,0.00006551937,0.0001386277,0.000023143097,0.000076898395,0.00022901289,0.00495617,0.0001648271,0.96471167,0.004119128,0.025472702],"study_design_scores_gemma":[0.000012494475,0.000004127752,0.00002228915,0.000032402822,0.000016215687,0.000041277504,0.00003725163,0.02396142,0.0002764627,0.968038,0.0075461143,0.000011827083],"about_ca_topic_score_codex":0.0052440427,"about_ca_topic_score_gemma":0.0049942806,"teacher_disagreement_score":0.010376174,"about_ca_system_score_codex":0.0034242137,"about_ca_system_score_gemma":0.0014912083,"threshold_uncertainty_score":0.03471178},"labels":[],"label_agreement":null},{"id":"W1511546236","doi":"","title":"An Integrated Approach for Automatic&#13;\\nAggregation of Learning Knowledge Objects","year":2007,"lang":"en","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Royal Military College of Canada","funders":"","keywords":"Multidisciplinary approach; Association (psychology); Knowledge management; Engineering ethics; Data science; Computer science; Political science; Management science; Sociology; Engineering; Epistemology; Social science","score_opus":0.009747219652426314,"score_gpt":0.20450837683100975,"score_spread":0.19476115717858344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1511546236","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004384885,0.000120842386,0.9854079,0.00019190181,0.000030416773,0.00026350713,0.00050055684,0.005233908,0.003866101],"genre_scores_gemma":[0.03503274,0.00015395468,0.95610344,0.00008676807,0.000014972825,0.00023278409,0.0025797733,0.00052299583,0.0052726236],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970245,0.0005159987,0.000299108,0.0007800195,0.0012589159,0.00012147893],"domain_scores_gemma":[0.9954276,0.0012111706,0.00030746358,0.0018133147,0.0010595436,0.0001808599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031679193,0.0007142479,0.00083985715,0.0046904227,0.0011929946,0.0050281254,0.002600928,0.0013507316,0.005359202],"category_scores_gemma":[0.00796189,0.00062249776,0.0011631271,0.0026919753,0.0011244789,0.006189261,0.0043215863,0.0017534372,0.003152007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017408894,0.00029039115,0.0019817892,0.00054326147,0.00010296777,0.00032881944,0.002614949,0.0045753815,0.03085609,0.04400135,0.009683002,0.90484804],"study_design_scores_gemma":[0.000089685964,0.00022845331,0.005860207,0.0005284576,0.00028595375,0.0009732344,0.0023144083,0.2180429,0.14858566,0.09445235,0.52839744,0.00024124727],"about_ca_topic_score_codex":0.004867565,"about_ca_topic_score_gemma":0.008913039,"teacher_disagreement_score":0.005359202,"about_ca_system_score_codex":0.001509706,"about_ca_system_score_gemma":0.0036728822,"threshold_uncertainty_score":0.017928302},"labels":[],"label_agreement":null},{"id":"W1512073893","doi":"10.1007/978-3-540-30597-2_3","title":"Consistent Query Answers in Virtual Data Integration Systems","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Consistency (knowledge bases); Monotone polygon; Semantics (computer science); Data integration; Data integrity; Theoretical computer science; Programming language; Data mining; Database; Mathematics; Artificial intelligence","score_opus":0.042520138598597275,"score_gpt":0.2679454521177179,"score_spread":0.22542531351912065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512073893","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024167486,0.0017086279,0.9665306,0.0014329706,0.0001294286,0.00024933624,0.00028981856,0.001889002,0.0036027695],"genre_scores_gemma":[0.3256846,0.0011727639,0.66266954,0.0008344502,0.00023036318,0.00056115596,0.0019453779,0.0008680982,0.006033593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96364224,0.015323483,0.003985717,0.003221099,0.012435148,0.0013923564],"domain_scores_gemma":[0.95329857,0.031072956,0.0017641842,0.008692099,0.0044811266,0.0006910586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027006375,0.0009466192,0.0034980127,0.003479616,0.0035639042,0.011315776,0.006559307,0.0043953005,0.0049081976],"category_scores_gemma":[0.07021103,0.0030679272,0.0014764371,0.0064180973,0.0063159894,0.021211606,0.010027065,0.00439596,0.0010901584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013069742,0.00036367643,0.0026757114,0.00071231386,0.00018949927,0.0005689353,0.002983128,0.0597521,0.003918016,0.6373631,0.013084569,0.277082],"study_design_scores_gemma":[0.00017460833,0.00011474106,0.00028755094,0.00013001615,0.00015011367,0.0002533012,0.00085779256,0.20675902,0.0064599514,0.77153134,0.013209694,0.00007189226],"about_ca_topic_score_codex":0.0040883417,"about_ca_topic_score_gemma":0.0031281256,"teacher_disagreement_score":0.027006375,"about_ca_system_score_codex":0.002409974,"about_ca_system_score_gemma":0.0038134123,"threshold_uncertainty_score":0.14282507},"labels":[],"label_agreement":null},{"id":"W1512208874","doi":"10.63317/37g2fmwocmun","title":"Flexible Ontology Population from Text: The OwlExporter","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Computer science; Upper ontology; Process ontology; Suggested Upper Merged Ontology; Natural language processing; Ontology-based data integration; Population; Open Biomedical Ontologies; Information retrieval; Artificial intelligence; Web Ontology Language; XML; Ontology language; Formal ontology; World Wide Web; Semantic Web","score_opus":0.011155922682238462,"score_gpt":0.24414066381272065,"score_spread":0.23298474113048218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512208874","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040063187,0.0001001401,0.9569426,0.0003887527,0.0000904366,0.00035876565,0.0016853741,0.031792488,0.004635097],"genre_scores_gemma":[0.05416525,0.00039073304,0.9117204,0.0008188023,0.000094065326,0.0007173136,0.012062486,0.01026477,0.009766258],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796754,0.00039394674,0.00024050656,0.0003433904,0.0009237495,0.00013074718],"domain_scores_gemma":[0.99756205,0.0010756323,0.0001858377,0.0007505283,0.00030628967,0.00011955568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004241023,0.00079211895,0.00064442866,0.0016257416,0.0010852603,0.0029813913,0.0026812789,0.0012488937,0.0059830546],"category_scores_gemma":[0.0075751194,0.0010299718,0.0015941162,0.0012604443,0.0012398078,0.008625226,0.0049940413,0.002788181,0.003446191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004083566,0.00045842983,0.003216883,0.000702108,0.00022398899,0.001742555,0.002419547,0.014858778,0.034906864,0.23048198,0.12445566,0.5861247],"study_design_scores_gemma":[0.00020071852,0.00006565688,0.0013553445,0.00021720945,0.0001076379,0.0011841384,0.0003848795,0.18326473,0.05604173,0.19100948,0.5659341,0.00023439869],"about_ca_topic_score_codex":0.0040202592,"about_ca_topic_score_gemma":0.0046181213,"teacher_disagreement_score":0.0059830546,"about_ca_system_score_codex":0.0010180891,"about_ca_system_score_gemma":0.0019326186,"threshold_uncertainty_score":0.02242893},"labels":[],"label_agreement":null},{"id":"W1513254282","doi":"","title":"Towards a logic of feature-based semantic science theories","year":2010,"lang":"en","type":"article","venue":"Principles of Knowledge Representation and Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Feature (linguistics); Artificial intelligence; Epistemology","score_opus":0.02836111487639027,"score_gpt":0.3179121078937459,"score_spread":0.28955099301735565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513254282","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006537406,0.0010871638,0.9553636,0.008741252,0.00026230124,0.00011074823,0.00035998397,0.00024320469,0.027294314],"genre_scores_gemma":[0.31539297,0.0011995883,0.67006266,0.003728409,0.0007901519,0.0006950047,0.00066892186,0.00018744935,0.007274855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99134934,0.0042854007,0.0006382905,0.001134947,0.0021433686,0.00044865743],"domain_scores_gemma":[0.99050456,0.005638912,0.00063329947,0.0013887858,0.0014326763,0.00040181956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014709437,0.0009967022,0.0012770827,0.0048496327,0.0028409613,0.007312962,0.0032933601,0.0033395563,0.003544876],"category_scores_gemma":[0.01597993,0.00095623697,0.00306215,0.0034442835,0.012593171,0.017521381,0.0055674743,0.0075664776,0.00089568435],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040367927,0.000004810058,0.000055331835,0.000014422916,0.000006620166,0.000023220457,0.00010650041,0.00074661727,0.00003399957,0.9966935,0.0004001936,0.0019108973],"study_design_scores_gemma":[0.0000037094187,0.000003490041,0.000020178872,0.000011578515,0.000003618393,0.0000131194265,0.00002250257,0.004653404,0.00004958984,0.9924844,0.0027303288,0.000004143372],"about_ca_topic_score_codex":0.0028376805,"about_ca_topic_score_gemma":0.0025218835,"teacher_disagreement_score":0.014709437,"about_ca_system_score_codex":0.004815478,"about_ca_system_score_gemma":0.0025507824,"threshold_uncertainty_score":0.07779187},"labels":[],"label_agreement":null},{"id":"W1516550285","doi":"10.1007/978-3-642-20227-8_12","title":"Integrating Wiki Systems, Natural Language Processing, and Semantic Technologies for Cultural Heritage Data Management","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Metadata; World Wide Web; Knowledge base; Semantic computing; Semantic Web Stack; Cultural heritage; Semantic Web; Encyclopedia; Ontology; Semantic technology; Information retrieval; Architecture; Semantic grid; Linked data","score_opus":0.047838810442000404,"score_gpt":0.2826977301080767,"score_spread":0.2348589196660763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516550285","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011575879,0.019421449,0.7266311,0.009332142,0.0023336976,0.00025274602,0.0015863143,0.0071832337,0.2216835],"genre_scores_gemma":[0.057139825,0.02570768,0.80902815,0.0014809706,0.0011291306,0.0002520044,0.0070578745,0.0016572985,0.09654711],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883753,0.00025826434,0.00017547251,0.00013383127,0.0005308284,0.00006404842],"domain_scores_gemma":[0.9984756,0.00069447473,0.00008528562,0.0003257794,0.00033184642,0.00008698698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002545835,0.0005372413,0.0005841049,0.0041771475,0.00118179,0.0105514,0.0016322434,0.0010008939,0.004616986],"category_scores_gemma":[0.0029923795,0.00058945734,0.0006392079,0.008226199,0.0015680986,0.016418803,0.0033411202,0.0019642278,0.0026717796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021286964,0.000119376986,0.000519097,0.00073601847,0.00005798417,0.0001546209,0.00094958727,0.001713668,0.0026652387,0.33476502,0.06000343,0.59829473],"study_design_scores_gemma":[0.000008581836,0.00001975286,0.00043844187,0.0004780599,0.00006418093,0.00048828445,0.0007934726,0.0113057755,0.005198405,0.2093164,0.7718433,0.000045217123],"about_ca_topic_score_codex":0.0036683728,"about_ca_topic_score_gemma":0.007410674,"teacher_disagreement_score":0.0105514,"about_ca_system_score_codex":0.0012334555,"about_ca_system_score_gemma":0.0025573617,"threshold_uncertainty_score":0.015445352},"labels":[],"label_agreement":null},{"id":"W1517555792","doi":"10.1007/978-3-540-30182-0_48","title":"Query Builder: A Natural Language Interface for Structured Databases","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Parsing; Natural language user interface; Interface (matter); Feature (linguistics); Programming language; Natural language; Natural language processing; User interface; Artificial intelligence; Natural (archaeology); Human–computer interaction; Information retrieval; Database; Operating system; Linguistics","score_opus":0.01952414774588913,"score_gpt":0.28376007365932504,"score_spread":0.2642359259134359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517555792","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018724626,0.0003730601,0.79478836,0.00038856777,0.00008179797,0.0003679533,0.008408542,0.18990721,0.003812119],"genre_scores_gemma":[0.05131075,0.001479619,0.8179696,0.0022142213,0.00018315033,0.002005312,0.049202386,0.052659683,0.022975335],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782205,0.00043444545,0.00036905208,0.0003420755,0.0009115039,0.00012087435],"domain_scores_gemma":[0.9964818,0.0022550893,0.00015520303,0.0005069835,0.00041604968,0.00018486229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038740365,0.0019432849,0.0020304015,0.003110911,0.00088305096,0.003992149,0.0035588378,0.0020014741,0.03773881],"category_scores_gemma":[0.009819335,0.001814765,0.0015396475,0.0027858287,0.0011652785,0.008041228,0.0048944685,0.0023704693,0.01533636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001375022,0.00027481967,0.0017903676,0.002925616,0.00028159856,0.00091822643,0.0028583987,0.0057215514,0.03755773,0.08682672,0.5253028,0.3341671],"study_design_scores_gemma":[0.0007671124,0.0002125963,0.0014610073,0.0006231874,0.00029363311,0.001597588,0.00062805566,0.11814455,0.05494564,0.102059625,0.7188972,0.00036978116],"about_ca_topic_score_codex":0.004588032,"about_ca_topic_score_gemma":0.005126878,"teacher_disagreement_score":0.03773881,"about_ca_system_score_codex":0.0012113099,"about_ca_system_score_gemma":0.0015541859,"threshold_uncertainty_score":0.12624884},"labels":[],"label_agreement":null},{"id":"W1517876129","doi":"","title":"Designing a Metadata-Enabled Namespace for Enhancing Resource Discovery in Knowledge Bases [Version presented at the International Conference]","year":2001,"lang":"en","type":"article","venue":"E-LIS Repository (University of Naples Federico II)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Metadata; Namespace; Computer science; World Wide Web; Geospatial metadata; Data element; Information retrieval; Metadata repository; Ontology; RDF; Interoperability; The Internet; Meta Data Services; Semantic Web; Database","score_opus":0.027018143950880383,"score_gpt":0.2343849504227994,"score_spread":0.20736680647191902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517876129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03490963,0.00026459654,0.94700795,0.0017715167,0.00011590197,0.0005815262,0.00029205382,0.0064697047,0.008587056],"genre_scores_gemma":[0.058096986,0.00029364403,0.9338742,0.00026053874,0.000018140647,0.00037027625,0.0005942059,0.00041049038,0.0060815364],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981318,0.00078192726,0.00020202636,0.00024341761,0.00052534643,0.00011548169],"domain_scores_gemma":[0.9964019,0.00195922,0.00018444635,0.0006455491,0.0006220599,0.0001868654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068934173,0.0003495707,0.00046397946,0.0025017252,0.00211244,0.005263556,0.002177936,0.0014334666,0.0044633346],"category_scores_gemma":[0.011057734,0.00054450537,0.0005001971,0.0031697855,0.0022559555,0.012304865,0.0036200203,0.0008676056,0.0013134574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041887767,0.00048541566,0.0057528657,0.00096036255,0.000055840555,0.00077937136,0.015307589,0.008155643,0.040053368,0.24737766,0.024963591,0.6556895],"study_design_scores_gemma":[0.00025036227,0.00059884397,0.004289333,0.0005445402,0.00019744088,0.00188291,0.011459796,0.15973626,0.1149907,0.13839625,0.5673098,0.00034377535],"about_ca_topic_score_codex":0.0056419517,"about_ca_topic_score_gemma":0.009331367,"teacher_disagreement_score":0.0068934173,"about_ca_system_score_codex":0.0010466729,"about_ca_system_score_gemma":0.0028387008,"threshold_uncertainty_score":0.036456287},"labels":[],"label_agreement":null},{"id":"W1519312546","doi":"10.1007/3-540-44491-2_55","title":"Web Guide: Filtering and Constraining Site Browsing through Web Walker Techniques","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Constraint (computer-aided design); Domain (mathematical analysis); Web application; Architecture; Representation (politics); Filter (signal processing); Interpreter; World Wide Web; Web site; Field (mathematics); Programming language; Information retrieval; Human–computer interaction; The Internet; Computer vision","score_opus":0.023613075037211956,"score_gpt":0.26523208368526,"score_spread":0.24161900864804806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519312546","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012717331,0.0002870913,0.91311824,0.00015198394,0.000061023802,0.0003638557,0.00167691,0.06571763,0.0059060035],"genre_scores_gemma":[0.064089045,0.00036154047,0.9066217,0.00012310277,0.000029217394,0.00033740164,0.007789704,0.007969737,0.012678569],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975528,0.00061063346,0.00022421146,0.0004327309,0.0010369455,0.00014266378],"domain_scores_gemma":[0.9942631,0.0024840967,0.00021808015,0.0019232967,0.0008553587,0.00025596653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028686926,0.0011521956,0.00131831,0.0034239762,0.0012087292,0.0027173518,0.0022168949,0.0014582978,0.01176377],"category_scores_gemma":[0.011634743,0.0012643865,0.0010986871,0.0031598164,0.0006990547,0.004708828,0.0027363421,0.0017500753,0.007712996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006953007,0.0009186954,0.0079032965,0.00071198895,0.00016636068,0.00037492174,0.0018502809,0.010647662,0.019450536,0.027939742,0.06818131,0.86115974],"study_design_scores_gemma":[0.0002808249,0.00033954254,0.0067862896,0.0005172591,0.0002973362,0.0010756999,0.0014203446,0.55810875,0.05956953,0.055877853,0.31550387,0.00022267476],"about_ca_topic_score_codex":0.007563298,"about_ca_topic_score_gemma":0.020413917,"teacher_disagreement_score":0.01176377,"about_ca_system_score_codex":0.00043119703,"about_ca_system_score_gemma":0.0018369735,"threshold_uncertainty_score":0.039353788},"labels":[],"label_agreement":null},{"id":"W1521646987","doi":"10.11575/prism/30316","title":"XML Schema Structural Equivalence","year":2004,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"RELAX NG; Computer science; XML; Document Structure Description; XML Schema (W3C); Schema (genetic algorithms); XML Schema Editor; Star schema; Theoretical computer science; Programming language; Database; Algorithm; Information retrieval; XML Encryption; Operating system","score_opus":0.014597508877204847,"score_gpt":0.20961684465617947,"score_spread":0.19501933577897462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521646987","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029770331,0.0008631583,0.8916582,0.001641823,0.00051977346,0.001611741,0.010797761,0.012756496,0.050380714],"genre_scores_gemma":[0.20426118,0.0011015058,0.7332869,0.0010875849,0.00020930714,0.0010661707,0.0396184,0.0023330313,0.017035902],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98800886,0.0027459846,0.0021976202,0.0019683903,0.0045136944,0.0005654095],"domain_scores_gemma":[0.98157436,0.0059509175,0.0009937098,0.0056889504,0.0055171493,0.00027493952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064174947,0.0006764431,0.0011558451,0.005360649,0.0013796206,0.00584465,0.0023810305,0.0016330727,0.020596884],"category_scores_gemma":[0.035636004,0.0009308946,0.0018317953,0.0047947527,0.0016233218,0.008696646,0.004671568,0.0026688145,0.004077636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046614182,0.0002866296,0.004956627,0.0008598094,0.00018078365,0.0007092535,0.0020341498,0.009081964,0.007411808,0.55660635,0.03002123,0.3873852],"study_design_scores_gemma":[0.0002312191,0.00019978634,0.0036826883,0.00060732086,0.00020239927,0.0015894715,0.0015858414,0.06164114,0.024551395,0.5326227,0.3729927,0.0000933077],"about_ca_topic_score_codex":0.0028086544,"about_ca_topic_score_gemma":0.0016818038,"teacher_disagreement_score":0.020596884,"about_ca_system_score_codex":0.0018618106,"about_ca_system_score_gemma":0.0029964847,"threshold_uncertainty_score":0.068903446},"labels":[],"label_agreement":null},{"id":"W1521833600","doi":"10.1007/11774303_107","title":"Applying the Agent Metaphor to Learning Content Management Systems and Learning Object Repositories","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Metaphor; Metadata; Focus (optics); Pragmatics; Negotiation; Object (grammar); Learning object; Interpretation (philosophy); Human–computer interaction; Learning Management; World Wide Web; Multimedia; Artificial intelligence; Programming language; Linguistics","score_opus":0.02759859910099999,"score_gpt":0.23821740913196346,"score_spread":0.21061881003096347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521833600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010067496,0.0026599148,0.9026909,0.006721779,0.00055442855,0.00010633182,0.000098422104,0.001159231,0.07594147],"genre_scores_gemma":[0.28467387,0.0036160653,0.65310854,0.0014902606,0.00035236892,0.00031616524,0.0003301692,0.0007161817,0.055396464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916553,0.0004348508,0.000058856214,0.000092662725,0.00019937687,0.000048730737],"domain_scores_gemma":[0.99888486,0.0006666843,0.0000515954,0.000198694,0.000112828275,0.00008536762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013330005,0.00047471307,0.0004890113,0.001467393,0.0012670102,0.0054500396,0.00151209,0.0025225482,0.0072848243],"category_scores_gemma":[0.004287031,0.00064995955,0.00077290414,0.0015964214,0.0034205643,0.010774129,0.0028029243,0.0030003863,0.001799931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002547804,0.000052063457,0.00015911649,0.00011809477,0.000014466493,0.00020523604,0.0012065062,0.0021463505,0.0012890064,0.9483574,0.005674953,0.040751297],"study_design_scores_gemma":[0.00003773792,0.000045695382,0.00022500507,0.00012495811,0.000036355348,0.0005817,0.00075377396,0.04063604,0.002723312,0.7946945,0.16011217,0.000028853927],"about_ca_topic_score_codex":0.0025714259,"about_ca_topic_score_gemma":0.0028232236,"teacher_disagreement_score":0.0072848243,"about_ca_system_score_codex":0.001270746,"about_ca_system_score_gemma":0.00093637645,"threshold_uncertainty_score":0.024370134},"labels":[],"label_agreement":null},{"id":"W1522143265","doi":"10.4000/edc.2306","title":"Sense-making  : un modèle de construction de la réalité et d’appréhension de l’information par les individus et les groupes","year":2010,"lang":"fr","type":"article","venue":"Etudes de communication/Études de communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Musée de la Civilisation","funders":"","keywords":"Humanities; Sociology; Meaning (existential); Philosophy; Epistemology","score_opus":0.046891904525904846,"score_gpt":0.30167423983417857,"score_spread":0.2547823353082737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522143265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08499664,0.0056216717,0.7388147,0.027662493,0.0006554576,0.00032308753,0.0003641438,0.0004108716,0.14115082],"genre_scores_gemma":[0.856226,0.002899427,0.12980923,0.0010084906,0.00014426073,0.00041981763,0.00019818702,0.000098242825,0.009196424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9917386,0.0047073937,0.00045889147,0.0011542792,0.0015481918,0.00039259493],"domain_scores_gemma":[0.99157274,0.004957695,0.00089162885,0.0011994069,0.00087167893,0.0005069108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007825321,0.0011162072,0.0010239746,0.00419624,0.0029209144,0.012477231,0.0020798212,0.0027210203,0.003306534],"category_scores_gemma":[0.012345282,0.00072187086,0.0020204536,0.0034544263,0.024649978,0.018042361,0.005817811,0.0028334213,0.0006306689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035440393,0.000023806353,0.0011651395,0.00022472683,0.000053572978,0.00017558836,0.023794597,0.0029210886,0.00059719913,0.9544172,0.0008432474,0.015748395],"study_design_scores_gemma":[0.000021363405,0.000041598818,0.0007398022,0.0002782528,0.000049620132,0.00022053295,0.010088184,0.005570061,0.0005799265,0.9552891,0.027071191,0.00005033366],"about_ca_topic_score_codex":0.00581641,"about_ca_topic_score_gemma":0.0036968044,"teacher_disagreement_score":0.012477231,"about_ca_system_score_codex":0.004141116,"about_ca_system_score_gemma":0.0051024198,"threshold_uncertainty_score":0.041384697},"labels":[],"label_agreement":null},{"id":"W1526145128","doi":"10.1108/00012531011074753","title":"Faceted classification for museum artefacts","year":2010,"lang":"en","type":"article","venue":"Aslib Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Terminology; Taxonomy (biology); Computer science; Originality; World Wide Web; Vocabulary; Information retrieval; Data science; Linguistics; Sociology; Qualitative research","score_opus":0.02707262367483216,"score_gpt":0.26615623240396896,"score_spread":0.2390836087291368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526145128","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029243479,0.0021121448,0.9302293,0.0013052729,0.00012953178,0.0009220799,0.004672381,0.0029187223,0.028466966],"genre_scores_gemma":[0.19457304,0.0014514029,0.7832739,0.00022003603,0.00003669135,0.0007287985,0.011257971,0.00035799702,0.008100145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967443,0.0007028045,0.0005248349,0.00058225245,0.0011955324,0.0002502769],"domain_scores_gemma":[0.99453753,0.0014124655,0.0005581507,0.0014139292,0.0018131849,0.00026465763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026058063,0.00051837164,0.0005449049,0.007829264,0.0026014897,0.007000175,0.0012769568,0.00093643717,0.003379695],"category_scores_gemma":[0.008345859,0.00035135268,0.001845554,0.008746707,0.0026480728,0.0054761213,0.0026902386,0.0011414487,0.0011112139],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011915727,0.000071780785,0.018931644,0.0014858728,0.00010760394,0.0007291263,0.016912194,0.008475093,0.009150365,0.47202578,0.026047185,0.4459441],"study_design_scores_gemma":[0.000017868324,0.00006482958,0.019348277,0.0018641223,0.0001449288,0.0019118126,0.013664125,0.06350636,0.0064652264,0.31247973,0.5803893,0.00014339024],"about_ca_topic_score_codex":0.08794009,"about_ca_topic_score_gemma":0.073850416,"teacher_disagreement_score":0.08794009,"about_ca_system_score_codex":0.0065669827,"about_ca_system_score_gemma":0.0061736447,"threshold_uncertainty_score":0.17485648},"labels":[],"label_agreement":null},{"id":"W1526357595","doi":"10.1109/ithet.2004.1358242","title":"An empirical evaluation of topic map search capabilities in an educational context","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Information retrieval; Search engine; Process (computing); Context (archaeology); Search analytics; World Wide Web; Data science; Web search query","score_opus":0.11188588073153219,"score_gpt":0.4107368076544411,"score_spread":0.29885092692290893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526357595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966239,0.00023575609,0.0012283531,0.0000824533,0.000008071808,0.00026295125,0.0001387642,0.00004716021,0.0013725772],"genre_scores_gemma":[0.99524766,0.00021481175,0.0036644794,0.00003187531,0.000021489239,0.00031651228,0.00026132207,0.000014497809,0.00022740893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97951823,0.01448736,0.0016744558,0.001048523,0.002745619,0.00052580016],"domain_scores_gemma":[0.6337693,0.32026634,0.016312895,0.009802141,0.01678322,0.0030661284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01975129,0.00049639447,0.0006136593,0.0042577474,0.0010171894,0.0024157132,0.0011250029,0.0012818237,0.0012213918],"category_scores_gemma":[0.1983206,0.00036838447,0.00038036902,0.0045998003,0.0012857254,0.0043304125,0.0022227396,0.0010458226,0.0004506181],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050810566,0.01132525,0.63319385,0.0036829365,0.00051445724,0.0011329318,0.057086628,0.0046262485,0.0051606875,0.0023468959,0.0023641335,0.2734849],"study_design_scores_gemma":[0.0011154463,0.0248652,0.8490152,0.00077387603,0.00064021134,0.0024218364,0.060470875,0.029135333,0.012760513,0.0028451858,0.015620796,0.00033544755],"about_ca_topic_score_codex":0.0015853522,"about_ca_topic_score_gemma":0.0019264468,"teacher_disagreement_score":0.01975129,"about_ca_system_score_codex":0.00063217,"about_ca_system_score_gemma":0.0008828031,"threshold_uncertainty_score":0.10445607},"labels":[],"label_agreement":null},{"id":"W1526626851","doi":"10.1007/978-3-540-69858-6_31","title":"A General Architecture for Connecting NLP Frameworks and Desktop Clients Using Web Services","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; World Wide Web; Architecture; Web service; Semantic Web; Service (business); Social Semantic Web; Semantic Web Stack; Information retrieval","score_opus":0.024976158840167465,"score_gpt":0.2690918465905173,"score_spread":0.24411568775034986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526626851","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034992045,0.0002143728,0.95953596,0.00052668556,0.00013368353,0.00055932516,0.00032883036,0.026144437,0.009057517],"genre_scores_gemma":[0.048257213,0.00094123837,0.9027918,0.0005982527,0.00011063808,0.00093747716,0.0023754574,0.0036860146,0.04030191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982679,0.00022395274,0.00025302617,0.00031843886,0.0006821947,0.00025439396],"domain_scores_gemma":[0.99863654,0.00021708627,0.000045693614,0.0005394771,0.00034730672,0.00021392663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027825625,0.0009504402,0.001499193,0.002261113,0.0029067446,0.008270777,0.0051342184,0.0038745832,0.019672105],"category_scores_gemma":[0.0032870392,0.0023059072,0.0023973112,0.0037879343,0.0020039426,0.008589914,0.0056185042,0.0046590706,0.008805264],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005437909,0.00067162275,0.001957554,0.0009815528,0.00032458868,0.0014997275,0.002640958,0.027395826,0.047907654,0.50336206,0.08095879,0.3317559],"study_design_scores_gemma":[0.00024305121,0.0001881171,0.0014216078,0.00052172097,0.00037588508,0.0014145288,0.0006613436,0.2900432,0.045704205,0.2225046,0.43662468,0.0002970894],"about_ca_topic_score_codex":0.018754588,"about_ca_topic_score_gemma":0.017355347,"teacher_disagreement_score":0.019672105,"about_ca_system_score_codex":0.0023654972,"about_ca_system_score_gemma":0.0041668834,"threshold_uncertainty_score":0.06580973},"labels":[],"label_agreement":null},{"id":"W1526762637","doi":"","title":"Ontology Mapping - a User Survey","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Ontology; Information retrieval; Interoperability; World Wide Web; Upper ontology; Ontology-based data integration; Process ontology; Semantic Web; Data science","score_opus":0.052597192357848245,"score_gpt":0.2831378763373549,"score_spread":0.23054068397950664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526762637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9256865,0.014647876,0.032048594,0.0064228196,0.0002094946,0.0002536142,0.0014810598,0.0013442741,0.017905775],"genre_scores_gemma":[0.97125643,0.008194615,0.012572665,0.0023825401,0.00009495645,0.00030487194,0.0015620722,0.00027432782,0.0033574202],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98629946,0.0073736073,0.0011540974,0.0009956758,0.0034957093,0.00068143685],"domain_scores_gemma":[0.8802849,0.090044945,0.004115916,0.0061292294,0.017591178,0.0018338374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020426683,0.0005477601,0.00094518176,0.006551193,0.0014405025,0.0031974337,0.0009707078,0.0014184322,0.003021893],"category_scores_gemma":[0.06378065,0.00037102148,0.0006631988,0.0065984614,0.001117419,0.008615323,0.003637255,0.00093137997,0.0011749957],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004898054,0.00040665513,0.27153516,0.0020654006,0.00018466184,0.00068236684,0.08146214,0.0007596108,0.0041952254,0.00781859,0.032351725,0.5980486],"study_design_scores_gemma":[0.000071233735,0.00093001296,0.21960577,0.0034205192,0.00034827957,0.0068245814,0.21937537,0.016690148,0.007404612,0.00904115,0.51580083,0.0004874981],"about_ca_topic_score_codex":0.002606891,"about_ca_topic_score_gemma":0.0021209791,"teacher_disagreement_score":0.020426683,"about_ca_system_score_codex":0.0007282378,"about_ca_system_score_gemma":0.0010067861,"threshold_uncertainty_score":0.108027875},"labels":[],"label_agreement":null},{"id":"W1527588642","doi":"10.1007/11495772_30","title":"Conceptual Query Expansion","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Query optimization; Query expansion; Information retrieval; Query language","score_opus":0.02387339201551543,"score_gpt":0.2502972875464015,"score_spread":0.2264238955308861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527588642","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008806164,0.001596953,0.8731093,0.0022823857,0.0005660405,0.0008438681,0.0060915537,0.01624841,0.090455346],"genre_scores_gemma":[0.12744936,0.0026903404,0.7467683,0.0018380344,0.0003707037,0.0007074545,0.034320537,0.00405688,0.08179843],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967139,0.00074612367,0.00027676646,0.00067441026,0.0013933184,0.0001954648],"domain_scores_gemma":[0.99766845,0.0007679821,0.000048493912,0.00073449564,0.0007200145,0.000060461163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025007057,0.0012495071,0.0010507506,0.0038693983,0.0010397418,0.0032024984,0.0022605334,0.0010159919,0.048053488],"category_scores_gemma":[0.007353616,0.0006931026,0.0017892213,0.0038937535,0.0010053933,0.0066188658,0.0041793496,0.0026130988,0.017569292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019643841,0.00021984601,0.0006584012,0.00071574596,0.00007869531,0.00025807926,0.0004956615,0.0042706733,0.011729113,0.31310377,0.14612035,0.52215326],"study_design_scores_gemma":[0.00008072314,0.00007499967,0.00091112737,0.00033086326,0.00023943973,0.0010880127,0.0006137662,0.108928174,0.02992807,0.25291187,0.60479265,0.00010035595],"about_ca_topic_score_codex":0.0040035374,"about_ca_topic_score_gemma":0.0036515743,"teacher_disagreement_score":0.048053488,"about_ca_system_score_codex":0.001471189,"about_ca_system_score_gemma":0.0016938266,"threshold_uncertainty_score":0.16075486},"labels":[],"label_agreement":null},{"id":"W1527780386","doi":"","title":"Proceedings of the 2nd ACM workshop on Multimedia semantics","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Semantics (computer science); Annotation; Multimedia; World Wide Web; Presentation (obstetrics); Artificial intelligence; Programming language","score_opus":0.04183552992653589,"score_gpt":0.2534825020349811,"score_spread":0.21164697210844524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527780386","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011202259,0.104507856,0.50926435,0.059666283,0.0667397,0.0010745471,0.008201057,0.008418506,0.23092543],"genre_scores_gemma":[0.08643185,0.0720935,0.31684995,0.012672411,0.025886225,0.0011027593,0.03277321,0.0058904937,0.44629955],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967077,0.0010814952,0.00038910558,0.00052816916,0.0010248928,0.00026863228],"domain_scores_gemma":[0.99567044,0.001250139,0.00011198102,0.0009536732,0.0013249649,0.0006888504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005593775,0.0016542912,0.0014719133,0.0030737708,0.0017053823,0.008844634,0.0024154843,0.0025282803,0.055188384],"category_scores_gemma":[0.0077740457,0.0008100619,0.0018189065,0.0026838214,0.002036142,0.012294572,0.0044922982,0.0046026506,0.016562138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026843115,0.00015261292,0.0004929649,0.0005488569,0.00010875096,0.0002968965,0.0010365958,0.0009679267,0.0032779872,0.056038667,0.65612984,0.28068045],"study_design_scores_gemma":[0.000017949887,0.000032652923,0.00029556948,0.00022639027,0.000032479344,0.0001891401,0.00025436297,0.0018115247,0.0007785901,0.019493978,0.9768429,0.000024559964],"about_ca_topic_score_codex":0.0069627967,"about_ca_topic_score_gemma":0.009039305,"teacher_disagreement_score":0.055188384,"about_ca_system_score_codex":0.0022791482,"about_ca_system_score_gemma":0.0027594129,"threshold_uncertainty_score":0.18462354},"labels":[],"label_agreement":null},{"id":"W1528408861","doi":"10.22230/cjc.2004v29n3a1449","title":"Searching and Browsing Using RDF-Encoded Metadata: The Case of Omnipaper","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Princeton University","keywords":"RDF; Metadata; RDF Schema; Computer science; Personalization; RDF/XML; Information retrieval; Linked data; Simple Knowledge Organization System; SPARQL; Cwm; World Wide Web; Semantic Web; Database","score_opus":0.05273837882205467,"score_gpt":0.2899535350610835,"score_spread":0.23721515623902883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528408861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1258286,0.0015516329,0.7587838,0.008332333,0.00018020088,0.00041248786,0.0007042955,0.006410565,0.09779609],"genre_scores_gemma":[0.45490167,0.0013466581,0.5149863,0.0012083942,0.00009821211,0.00024145954,0.0012606987,0.0013067478,0.02464995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951702,0.0021441265,0.0002979743,0.0006865259,0.0012429492,0.00045817826],"domain_scores_gemma":[0.99203086,0.0036930027,0.00028853348,0.0029170683,0.0006766077,0.0003940052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00856058,0.00042857128,0.0008490086,0.0016430098,0.002892934,0.006508788,0.0023606669,0.0034946667,0.0025260504],"category_scores_gemma":[0.014902855,0.00072881265,0.00092386693,0.0025399837,0.004711504,0.02184631,0.006607679,0.0019061456,0.0011273442],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063082087,0.000257025,0.005863342,0.0006857874,0.00009666109,0.008573009,0.0182331,0.0077437684,0.008513123,0.7682778,0.022957768,0.15816782],"study_design_scores_gemma":[0.00012477452,0.00012586676,0.0020002706,0.00054535404,0.00014642843,0.010341893,0.013126296,0.101013444,0.028648216,0.29528514,0.54838663,0.00025569435],"about_ca_topic_score_codex":0.008121497,"about_ca_topic_score_gemma":0.009528901,"teacher_disagreement_score":0.00856058,"about_ca_system_score_codex":0.0014870083,"about_ca_system_score_gemma":0.0016512846,"threshold_uncertainty_score":0.045273244},"labels":[],"label_agreement":null},{"id":"W1528539976","doi":"10.5772/16755","title":"Decision Support Tools for Ontological Engineering","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Systems engineering; Software engineering; Management science; Knowledge management; Engineering","score_opus":0.07196883354057293,"score_gpt":0.2649584461921785,"score_spread":0.19298961265160558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528539976","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013780218,0.0014504138,0.8892772,0.0044502844,0.0004774808,0.0006190533,0.003994933,0.007834883,0.0905178],"genre_scores_gemma":[0.03302622,0.0027144377,0.93884236,0.0008632476,0.00023792597,0.0007912372,0.0077309874,0.0010785601,0.014714997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950235,0.0017281647,0.00083860155,0.00051290775,0.0016271046,0.0002698467],"domain_scores_gemma":[0.9923698,0.004029551,0.0005009814,0.0016460132,0.0011657447,0.00028793595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006846212,0.0021211093,0.001595818,0.007370373,0.002080023,0.012042013,0.0048455247,0.0029402396,0.038029317],"category_scores_gemma":[0.018715443,0.0012892988,0.0034399733,0.0062103556,0.0019170593,0.012438478,0.007638266,0.0041800085,0.015759144],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050912036,0.00013341122,0.0003723815,0.0009040223,0.000112042966,0.00038461474,0.00060121913,0.018999852,0.0007957096,0.7398713,0.04606286,0.19171159],"study_design_scores_gemma":[0.000033579232,0.000017518772,0.00012477912,0.0006231279,0.00004075875,0.00013517456,0.0003180278,0.049330316,0.0008646396,0.57626325,0.37219942,0.000049342132],"about_ca_topic_score_codex":0.004921259,"about_ca_topic_score_gemma":0.0054189297,"teacher_disagreement_score":0.038029317,"about_ca_system_score_codex":0.0026646953,"about_ca_system_score_gemma":0.0035436652,"threshold_uncertainty_score":0.12722075},"labels":[],"label_agreement":null},{"id":"W1529320093","doi":"10.26686/ajl.v4i0.1778","title":"Some non-standard interpretations of the axiomatic basis of Leśniewski’s Ontology","year":2006,"lang":"en","type":"article","venue":"The Australasian Journal of Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Axiom; Ontology; Meaning (existential); Functor; Statement (logic); Basis (linear algebra); Mathematics; Semantics (computer science); Constant (computer programming); Axiomatic system; Natural language processing; Epistemology; Computer science; Discrete mathematics; Philosophy; Programming language","score_opus":0.01658101990030346,"score_gpt":0.2585725854186751,"score_spread":0.24199156551837164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529320093","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055654638,0.0026514234,0.7515208,0.023010936,0.0010392901,0.00014021895,0.00070444384,0.00048954383,0.16478881],"genre_scores_gemma":[0.71876454,0.0017442806,0.25054714,0.0041300524,0.0008849688,0.00041968422,0.0006700768,0.00021913834,0.022620123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976198,0.000774153,0.00023456888,0.00036414925,0.0007438144,0.00026362803],"domain_scores_gemma":[0.99826473,0.0005775435,0.0001959763,0.00034388024,0.00049180514,0.00012608226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004627133,0.00073675456,0.0006480622,0.0029079197,0.0022817042,0.0042981673,0.0025039134,0.0021562662,0.0049429573],"category_scores_gemma":[0.0050480408,0.00058645173,0.0014035646,0.0021120904,0.010519558,0.013311118,0.003495507,0.004123992,0.0007120757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002993928,0.000004030746,0.000022507696,0.000007947435,0.000001452086,0.000020323656,0.00020234723,0.00008503678,0.00007781884,0.9985013,0.00037957224,0.0006946601],"study_design_scores_gemma":[0.0000055157548,0.0000036923823,0.00006754993,0.000011529527,0.0000035884068,0.000023528512,0.00007088881,0.0010209657,0.00017887646,0.991964,0.00664216,0.000007754885],"about_ca_topic_score_codex":0.0030551967,"about_ca_topic_score_gemma":0.003006882,"teacher_disagreement_score":0.0049429573,"about_ca_system_score_codex":0.0033532048,"about_ca_system_score_gemma":0.001692906,"threshold_uncertainty_score":0.024470925},"labels":[],"label_agreement":null},{"id":"W1529545278","doi":"","title":"Three-Layer OWL Ontology Design.","year":2007,"lang":"en","type":"article","venue":"Research Publications (Maastricht University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Ontology; Terminology; Semantics (computer science); Reuse; Upper ontology; Domain (mathematical analysis); Layer (electronics); Information retrieval; Process ontology; Ontology components; Ontology-based data integration; Ontology alignment; Semantic Web; Programming language; Engineering; Linguistics; Mathematics","score_opus":0.21043850694136468,"score_gpt":0.3573714004100731,"score_spread":0.14693289346870841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529545278","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076300385,0.00013881577,0.9782908,0.0006278651,0.000101553785,0.0002448458,0.00041758013,0.0025295028,0.010019],"genre_scores_gemma":[0.11872105,0.00026849832,0.86820716,0.0004755869,0.000024819383,0.0004402952,0.0017187254,0.0005571073,0.009586857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99786144,0.00060015736,0.00034363318,0.00025675303,0.00072741654,0.00021053225],"domain_scores_gemma":[0.99854255,0.00028935366,0.00016666697,0.00043005278,0.00041023284,0.00016119784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037878158,0.00047314886,0.00029878484,0.000918663,0.00085576944,0.0028011708,0.001320142,0.000989665,0.0024362064],"category_scores_gemma":[0.0038954886,0.00059314736,0.0011031505,0.0008123709,0.0010681333,0.0037068406,0.0027790056,0.0016069119,0.0013090551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019552934,0.00022233764,0.0026124003,0.00059530605,0.00020456038,0.0010098664,0.0026658478,0.014789891,0.021272516,0.7236499,0.019969944,0.21281187],"study_design_scores_gemma":[0.00008961298,0.00008803606,0.0010854686,0.00041760676,0.000256023,0.0010244811,0.00078309485,0.16052018,0.03361716,0.3705972,0.43141448,0.00010660922],"about_ca_topic_score_codex":0.005046183,"about_ca_topic_score_gemma":0.0077046645,"teacher_disagreement_score":0.005046183,"about_ca_system_score_codex":0.0013719577,"about_ca_system_score_gemma":0.0028021645,"threshold_uncertainty_score":0.020032108},"labels":[],"label_agreement":null},{"id":"W1529596440","doi":"10.1007/3-540-45648-1_1","title":"Theories, Implementations, and Transformations","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Correctness; Structuring; Implementation; Presentation (obstetrics); Style (visual arts); Theoretical computer science; Order (exchange); Programming language","score_opus":0.01999112606207713,"score_gpt":0.25857088299015785,"score_spread":0.23857975692808073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529596440","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008485145,0.03616454,0.63611627,0.010358758,0.0012250957,0.00017641822,0.0006208483,0.0011984279,0.3056545],"genre_scores_gemma":[0.38325533,0.035827182,0.47276974,0.0028092698,0.0021455435,0.0011934404,0.0026309881,0.00092522457,0.098443285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962763,0.0015189319,0.0003847529,0.00051000144,0.0010347995,0.0002750597],"domain_scores_gemma":[0.9981007,0.0008767894,0.00009740307,0.0006498317,0.000213672,0.00006161681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033293494,0.0014957464,0.0014580514,0.0026970778,0.0022870707,0.010731254,0.002550898,0.0034505432,0.01238039],"category_scores_gemma":[0.0060083037,0.0015789346,0.0017723318,0.004974213,0.01200269,0.021077024,0.003627292,0.0057067787,0.0035518662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039020783,0.0000069944035,0.00002201923,0.000040967658,0.0000045771617,0.000014806701,0.00012800128,0.0003827385,0.00005746977,0.98880345,0.0016104482,0.008924599],"study_design_scores_gemma":[0.0000042531283,0.0000022995184,0.000011445769,0.00002798279,0.000004503832,0.000025276173,0.00006613828,0.00074269867,0.00007748957,0.98508364,0.013951224,0.0000029134885],"about_ca_topic_score_codex":0.0022085663,"about_ca_topic_score_gemma":0.0019631267,"teacher_disagreement_score":0.01238039,"about_ca_system_score_codex":0.0030883262,"about_ca_system_score_gemma":0.0023086097,"threshold_uncertainty_score":0.041416526},"labels":[],"label_agreement":null},{"id":"W1529899382","doi":"10.1007/978-3-540-76298-0_9","title":"A Cognitive Support Framework for Ontology Mapping","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Ontology; Semantic Web; Interoperability; Semantic integration; Semantic mapping; Process (computing); OWL-S; Ontology-based data integration; Upper ontology; Key (lock); World Wide Web; Information retrieval; Data science; Social Semantic Web; Semantic Web Stack","score_opus":0.057027851546690864,"score_gpt":0.3142156871143977,"score_spread":0.2571878355677068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529899382","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014701016,0.00025085662,0.9805195,0.0007004099,0.000091626236,0.00010100951,0.00025664788,0.0013375921,0.015272213],"genre_scores_gemma":[0.050488193,0.00038167642,0.9392555,0.00022972122,0.00009522829,0.0003226545,0.0008255265,0.00022523054,0.008176213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983474,0.0004407881,0.00021989847,0.00029062887,0.0005340464,0.00016721402],"domain_scores_gemma":[0.998382,0.0006157646,0.00010040956,0.00035601947,0.00041044547,0.0001353641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027624248,0.0011215258,0.00080334954,0.0031180023,0.0024236043,0.0066564563,0.0038451108,0.0021327191,0.011999626],"category_scores_gemma":[0.0051143453,0.0008117909,0.0024089485,0.003076813,0.00238729,0.0092939865,0.004828835,0.0028823335,0.0037916284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028916624,0.000057173784,0.00012127226,0.00015022013,0.000032433487,0.00018255437,0.00085436396,0.0029682112,0.000993524,0.9117511,0.007256645,0.07560357],"study_design_scores_gemma":[0.000024010671,0.000017201382,0.00009892192,0.00011889664,0.000053092186,0.00020928134,0.00038646738,0.036801506,0.0016187292,0.8733511,0.08729207,0.000028781109],"about_ca_topic_score_codex":0.010887355,"about_ca_topic_score_gemma":0.01056483,"teacher_disagreement_score":0.011999626,"about_ca_system_score_codex":0.0015391815,"about_ca_system_score_gemma":0.002425251,"threshold_uncertainty_score":0.040142775},"labels":[],"label_agreement":null},{"id":"W15300351","doi":"10.1007/978-3-642-02193-0_6","title":"Bio-medical Ontologies Maintenance and Change Management","year":2009,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Business; Risk analysis (engineering); Process management; Data science","score_opus":0.14447672858831762,"score_gpt":0.36234212085424244,"score_spread":0.21786539226592483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W15300351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025565127,0.05196054,0.57203925,0.018244551,0.0032466585,0.0002986108,0.0013148251,0.0024249048,0.32490554],"genre_scores_gemma":[0.38281515,0.0425569,0.36869094,0.0026914172,0.0018228207,0.0002472129,0.0037755966,0.00066637516,0.19673358],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999338,0.00014352678,0.00005574515,0.000120238656,0.00030332908,0.000039192746],"domain_scores_gemma":[0.9988067,0.00047162105,0.00010257801,0.0002873041,0.0002760551,0.00005578165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001396953,0.00035450954,0.0003985074,0.0024820855,0.0008362027,0.0033985903,0.0013505728,0.0011320912,0.008076549],"category_scores_gemma":[0.0033970983,0.00029380247,0.00053016783,0.0031581603,0.0017067703,0.0047254995,0.0011995193,0.0010346451,0.0033098655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004289335,0.000090644986,0.0013959878,0.00047194096,0.000035566347,0.00023882638,0.00079860765,0.0039028593,0.003468998,0.31074807,0.02942258,0.649383],"study_design_scores_gemma":[0.000016567303,0.000043250206,0.003220397,0.0003757745,0.00006615555,0.001405282,0.0006510386,0.019964835,0.009626876,0.39488629,0.5697052,0.00003834914],"about_ca_topic_score_codex":0.0020993922,"about_ca_topic_score_gemma":0.0018993907,"teacher_disagreement_score":0.008076549,"about_ca_system_score_codex":0.0017030686,"about_ca_system_score_gemma":0.0014183397,"threshold_uncertainty_score":0.027018726},"labels":[],"label_agreement":null},{"id":"W1530231259","doi":"10.1609/aimag.v29i3.2148","title":"Reports of the AAAI 2008 Spring Symposia","year":2008,"lang":"en","type":"article","venue":"AI Magazine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Computer science; Intelligent decision support system; Intelligent agent; Semantic Web; Process (computing); Cognitive architecture; Knowledge management; Artificial intelligence; Cognition; Psychology","score_opus":0.01351458828033027,"score_gpt":0.22072225309785595,"score_spread":0.20720766481752567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530231259","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061969827,0.054874543,0.0058110594,0.16982757,0.43227768,0.000891012,0.010290382,0.0023894184,0.31744128],"genre_scores_gemma":[0.011789329,0.05120944,0.007903934,0.022332832,0.076319106,0.00081809616,0.020485386,0.0010974007,0.8080445],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99720687,0.0002639938,0.00020906405,0.00035131763,0.001618019,0.00035070657],"domain_scores_gemma":[0.9929006,0.00036833773,0.00031342628,0.00038539004,0.0039554955,0.0020767604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057880236,0.0019759424,0.0013127769,0.0036668917,0.002463164,0.008369013,0.0024994798,0.004334592,0.17610446],"category_scores_gemma":[0.007107666,0.0006513983,0.0014386032,0.0021518634,0.0006686912,0.0065078945,0.0036933196,0.0059800358,0.117352165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005665398,0.00007827022,0.00017891065,0.000104030645,0.000008582667,0.00005287499,0.000029175488,0.000029455477,0.0002171945,0.00071673165,0.9697195,0.028808702],"study_design_scores_gemma":[0.000021712094,0.000032627704,0.0007824095,0.0001409414,0.000015316278,0.00007315215,0.000108273554,0.00012578184,0.00023922228,0.00081154535,0.99763227,0.000016778493],"about_ca_topic_score_codex":0.0030927088,"about_ca_topic_score_gemma":0.0074862335,"teacher_disagreement_score":0.17610446,"about_ca_system_score_codex":0.0027511497,"about_ca_system_score_gemma":0.003626696,"threshold_uncertainty_score":0.58912814},"labels":[],"label_agreement":null},{"id":"W1531354961","doi":"10.1007/978-3-540-75474-9_1","title":"A Multi-level Matching Algorithm for Combining Similarity Measures in Ontology Integration","year":2007,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Computer science; Ontology alignment; Matching (statistics); Ontology-based data integration; Data mining; Similarity (geometry); Data integration; Extension (predicate logic); Process (computing); Information retrieval; Algorithm; Artificial intelligence; Mathematics; Semantic Web","score_opus":0.061272447076280795,"score_gpt":0.31875032456534574,"score_spread":0.2574778774890649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531354961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047478676,0.00016107518,0.99368614,0.000037644983,0.000027793192,0.000093339964,0.000055002085,0.00084255653,0.00034862518],"genre_scores_gemma":[0.035838112,0.0000810634,0.96299535,0.000043009193,0.000014570255,0.00009322371,0.00023164369,0.00010503518,0.0005979467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99465877,0.00093106093,0.0006953328,0.0010822617,0.0023367344,0.0002959344],"domain_scores_gemma":[0.99636745,0.0012606059,0.00025092377,0.00068139686,0.0013092211,0.0001302872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004503764,0.0007787198,0.002202149,0.0065365024,0.0016701564,0.0028778815,0.003179171,0.0023666935,0.0041302047],"category_scores_gemma":[0.009558604,0.0008685415,0.0021409916,0.00767334,0.00081511895,0.0056047556,0.0035839225,0.0016169655,0.0019177536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025931734,0.0002975184,0.0018197804,0.00026088426,0.00025613979,0.0001274955,0.00025556347,0.017462248,0.0260919,0.014290515,0.003057649,0.93582094],"study_design_scores_gemma":[0.00011309654,0.0002839575,0.0026500442,0.00008197551,0.00034109605,0.0006622842,0.00024965795,0.90283906,0.04438005,0.037484042,0.010802734,0.000111915666],"about_ca_topic_score_codex":0.0031330688,"about_ca_topic_score_gemma":0.003505447,"teacher_disagreement_score":0.0065365024,"about_ca_system_score_codex":0.0010723936,"about_ca_system_score_gemma":0.0016493519,"threshold_uncertainty_score":0.023818493},"labels":[],"label_agreement":null},{"id":"W1534377188","doi":"10.1007/11575863_118","title":"Translating XML Web Data into Ontologies","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; XML Schema Editor; XML validation; Efficient XML Interchange; Document Structure Description; Information retrieval; Streaming XML; XML Schema (W3C); XML Encryption; XML database; Ontology; World Wide Web; XML","score_opus":0.04778795401396722,"score_gpt":0.2872209578885985,"score_spread":0.23943300387463132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534377188","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011513629,0.0007461457,0.9249146,0.0014944284,0.0007444789,0.00021924681,0.00231606,0.010046935,0.04800446],"genre_scores_gemma":[0.095744014,0.0031075017,0.8214888,0.00097423745,0.00020038059,0.0002986861,0.016447041,0.006335517,0.055403825],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931014,0.00015058207,0.00010003015,0.00011992702,0.0002769747,0.00004234816],"domain_scores_gemma":[0.99889034,0.0005958148,0.000041256437,0.00025191755,0.00019949178,0.000021296906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011677081,0.0006107754,0.0004973341,0.001957599,0.0005518892,0.0036690333,0.001048695,0.0009080924,0.009959708],"category_scores_gemma":[0.0042765895,0.000881862,0.0009752826,0.0028923578,0.0008189736,0.0044521103,0.0021584374,0.0017227058,0.006235728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011152765,0.00021467717,0.0007134329,0.00083099026,0.00009407633,0.0013013505,0.0022688024,0.013389337,0.01693964,0.3943406,0.0595133,0.5102823],"study_design_scores_gemma":[0.000050353257,0.000038898812,0.00060739095,0.00048629617,0.000121201054,0.0008253572,0.0010276841,0.06328275,0.07037978,0.28968495,0.57342696,0.000068440924],"about_ca_topic_score_codex":0.0023787958,"about_ca_topic_score_gemma":0.002408443,"teacher_disagreement_score":0.009959708,"about_ca_system_score_codex":0.000769591,"about_ca_system_score_gemma":0.00080263097,"threshold_uncertainty_score":0.03331852},"labels":[],"label_agreement":null},{"id":"W1535556437","doi":"10.1007/978-1-4419-7335-1_4","title":"A Modular Approach to Scalable Ontology Development","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Modular design; Ontology; Scalability; Computer science; Software engineering; Programming language; Database; Epistemology; Philosophy","score_opus":0.02861423466383122,"score_gpt":0.2210482619370284,"score_spread":0.19243402727319717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535556437","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011648124,0.00048256014,0.98717684,0.0005847114,0.00008061558,0.000108549466,0.00011800543,0.0016744513,0.008609535],"genre_scores_gemma":[0.022175035,0.0013540029,0.96455973,0.00021074027,0.000090361376,0.00030650626,0.0008839676,0.0006614584,0.009758119],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977742,0.00046467956,0.00023566562,0.00033110168,0.0010589142,0.00013545483],"domain_scores_gemma":[0.9971944,0.00080986816,0.00009948621,0.0013143565,0.0004755683,0.00010617021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003195185,0.0008273563,0.0007491676,0.0019378103,0.0013441228,0.0036211745,0.0030915667,0.0013487379,0.0064141024],"category_scores_gemma":[0.0070032747,0.0012990062,0.0018571571,0.00330384,0.0018423224,0.010310747,0.0050962465,0.0035084845,0.0031977147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027633783,0.00010115501,0.00027519395,0.00030955806,0.000066196124,0.00017191726,0.0005097237,0.012505668,0.0038782265,0.63384444,0.027957404,0.32035288],"study_design_scores_gemma":[0.000020347627,0.000020304398,0.00019585418,0.00015190631,0.000064287204,0.00029260357,0.000112970214,0.08539432,0.0045465454,0.7557697,0.15339465,0.00003639415],"about_ca_topic_score_codex":0.0030920736,"about_ca_topic_score_gemma":0.0047779717,"teacher_disagreement_score":0.0064141024,"about_ca_system_score_codex":0.0014869396,"about_ca_system_score_gemma":0.0023372998,"threshold_uncertainty_score":0.021457374},"labels":[],"label_agreement":null},{"id":"W1536157588","doi":"10.1007/978-3-540-74615-7_5","title":"Rule Interchange on the Web","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"World Wide Web; Computer science","score_opus":0.052075355675616004,"score_gpt":0.27466585247669645,"score_spread":0.22259049680108045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536157588","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068898615,0.004431613,0.8647995,0.001892092,0.00077236706,0.000201885,0.0006810592,0.0046973503,0.11563427],"genre_scores_gemma":[0.11950949,0.008627364,0.76457804,0.001089285,0.000557682,0.00049293565,0.005641678,0.002138362,0.097365156],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99665606,0.0010211782,0.00042089168,0.00041815112,0.001339693,0.00014388765],"domain_scores_gemma":[0.99704033,0.00115358,0.000065996115,0.001291723,0.00036468264,0.000083681014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033044775,0.00083980116,0.0012831033,0.003065835,0.0016526388,0.007490979,0.0030416357,0.0020604685,0.012827214],"category_scores_gemma":[0.005779901,0.0009997821,0.0014705523,0.004671854,0.0022982017,0.01147713,0.0038283316,0.0027841085,0.007519618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005801571,0.00008860717,0.00019287402,0.00021351206,0.000052951662,0.00031718475,0.00041629715,0.0058530993,0.0019524058,0.6270489,0.02284582,0.3409603],"study_design_scores_gemma":[0.000024894027,0.000021157855,0.00015394378,0.00016205442,0.000044397453,0.00031472286,0.000119437325,0.031428464,0.005457331,0.7591792,0.20306662,0.000027805561],"about_ca_topic_score_codex":0.0021869359,"about_ca_topic_score_gemma":0.002011793,"teacher_disagreement_score":0.012827214,"about_ca_system_score_codex":0.0010603635,"about_ca_system_score_gemma":0.0011712037,"threshold_uncertainty_score":0.04291129},"labels":[],"label_agreement":null},{"id":"W1537138774","doi":"10.1108/lht-03-2013-0022","title":"Building a platform for linked open thesauri","year":2013,"lang":"en","type":"article","venue":"Library Hi Tech","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; World Wide Web; Information retrieval","score_opus":0.03866554128520835,"score_gpt":0.2761330104079873,"score_spread":0.23746746912277897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537138774","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01411789,0.0003592004,0.9426453,0.0040087756,0.0008842437,0.0022286985,0.00095315435,0.01214989,0.022652863],"genre_scores_gemma":[0.060870565,0.0007362937,0.90056884,0.0009701102,0.00036926518,0.0013373414,0.0052481988,0.0068088495,0.023090512],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9680728,0.010619222,0.0059077004,0.0032996968,0.010732923,0.0013676753],"domain_scores_gemma":[0.8862796,0.024417367,0.0058839396,0.05917185,0.016835691,0.007411635],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.054059573,0.0011318588,0.002083181,0.011838625,0.008661917,0.029533992,0.005542377,0.006187739,0.010302057],"category_scores_gemma":[0.090994164,0.0030104178,0.004311688,0.01366488,0.006259222,0.054428525,0.029950183,0.012837628,0.009243793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004062185,0.0011961388,0.0067497753,0.0021342866,0.00043673476,0.0037946075,0.020541651,0.009591669,0.02944308,0.5902562,0.03196756,0.30348215],"study_design_scores_gemma":[0.00014055973,0.0004010212,0.002247233,0.0016620188,0.00028611466,0.0014951836,0.0057161604,0.039550703,0.03321325,0.23125967,0.6833286,0.0006994641],"about_ca_topic_score_codex":0.0052181897,"about_ca_topic_score_gemma":0.004179842,"teacher_disagreement_score":0.970466,"about_ca_system_score_codex":0.0038535364,"about_ca_system_score_gemma":0.013240959,"threshold_uncertainty_score":0.2858978},"labels":[],"label_agreement":null},{"id":"W153785916","doi":"","title":"Using Encyclopaedic Knowledge for Query Classification.","year":2010,"lang":"en","type":"article","venue":"International Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Information retrieval; Natural language processing; Artificial intelligence","score_opus":0.2987819629349078,"score_gpt":0.4204165625896202,"score_spread":0.1216345996547124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W153785916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28003564,0.016656993,0.32113162,0.005353436,0.0013968829,0.0030185303,0.22277123,0.03403124,0.115604356],"genre_scores_gemma":[0.53592604,0.0042339903,0.23983313,0.0008307671,0.00039716566,0.0006837456,0.20438951,0.000713864,0.012991825],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978339,0.0003083941,0.0003383839,0.0004824578,0.0007933816,0.00024338953],"domain_scores_gemma":[0.9963934,0.0014150188,0.00026165033,0.00054243294,0.0011477283,0.0002396957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011635304,0.0010285489,0.0010278695,0.015434656,0.0009607936,0.0030059044,0.0012326521,0.0010656447,0.0110122],"category_scores_gemma":[0.0102892,0.00027520483,0.0010227005,0.0088241575,0.0003615602,0.0046863575,0.0016867443,0.00078813965,0.0056024683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010608318,0.0005907006,0.050836958,0.0018102566,0.00040852884,0.0010289743,0.001195634,0.004961011,0.018169926,0.008289326,0.10638099,0.80526674],"study_design_scores_gemma":[0.00024956354,0.0006404397,0.09181642,0.0014343986,0.0012391584,0.0047630267,0.008385314,0.27353856,0.050560307,0.042529456,0.52452946,0.00031391563],"about_ca_topic_score_codex":0.03224246,"about_ca_topic_score_gemma":0.04018201,"teacher_disagreement_score":0.03224246,"about_ca_system_score_codex":0.0013872002,"about_ca_system_score_gemma":0.002280605,"threshold_uncertainty_score":0.064109564},"labels":[],"label_agreement":null},{"id":"W1540362383","doi":"","title":"Event Syntax and Event Semantics as Constraints on Availability of Discourse","year":2009,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Syntax; Event (particle physics); Semantics (computer science); Computer science; Linguistics; Programming language; Natural language processing; Philosophy","score_opus":0.013286065546385614,"score_gpt":0.24791496296929924,"score_spread":0.23462889742291362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540362383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76548547,0.0008904322,0.20215108,0.0011877996,0.00008745611,0.00014167449,0.00046745362,0.0005890636,0.028999584],"genre_scores_gemma":[0.98309094,0.00016049518,0.015888305,0.000056706678,0.000035863708,0.000079078956,0.00018611606,0.00012726411,0.0003752584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964288,0.001633391,0.00027867343,0.0007245962,0.0007331962,0.00020136782],"domain_scores_gemma":[0.97162634,0.020129438,0.004108102,0.0022206039,0.0011004828,0.00081492914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004943131,0.0005582729,0.00072198926,0.0017159473,0.00066069805,0.004851053,0.0009709691,0.0009967117,0.0038807897],"category_scores_gemma":[0.027670663,0.0013770905,0.0007730077,0.00089075963,0.003947,0.01785557,0.0030698383,0.0013263697,0.00024987446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025862558,0.0003399681,0.02334652,0.0017861263,0.0003910315,0.0014320462,0.017134355,0.017794266,0.20882496,0.63802934,0.0009068825,0.08742828],"study_design_scores_gemma":[0.00023825325,0.0005841783,0.06764142,0.00022950141,0.0002524424,0.001311088,0.003338742,0.06620468,0.02037433,0.8338566,0.005653523,0.0003152435],"about_ca_topic_score_codex":0.00068636634,"about_ca_topic_score_gemma":0.0005975797,"teacher_disagreement_score":0.004943131,"about_ca_system_score_codex":0.0011616057,"about_ca_system_score_gemma":0.0007055831,"threshold_uncertainty_score":0.02614212},"labels":[],"label_agreement":null},{"id":"W1542279835","doi":"10.1007/978-3-540-70960-2_8","title":"Maintaining Semantic Mappings between Database Schemas and Ontologies","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Information retrieval; Semantic integration; Schema (genetic algorithms); Sketch; Database schema; Ontology; Semantic heterogeneity; Ontology-based data integration; Semantic computing; Semantic Web; Database design; Algorithm","score_opus":0.0366972020552323,"score_gpt":0.2597780757655047,"score_spread":0.2230808737102724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542279835","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027982147,0.0007225549,0.9530458,0.00087643287,0.00029272394,0.00020315028,0.0013743836,0.009936833,0.005566074],"genre_scores_gemma":[0.16382751,0.0019830088,0.8119133,0.0005723694,0.0001423538,0.00024290204,0.010337336,0.0038589844,0.0071223006],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99375373,0.0013084855,0.0011394152,0.0011704339,0.0023298485,0.0002981214],"domain_scores_gemma":[0.9821774,0.007008,0.0007977653,0.0070777717,0.0026644063,0.00027464915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0096366145,0.0009588539,0.0015874449,0.0047257603,0.0017040719,0.009555477,0.004505081,0.0019353192,0.0036122939],"category_scores_gemma":[0.03459373,0.0022517925,0.0020360113,0.00818518,0.0015642911,0.023462718,0.00806945,0.0028225537,0.002388236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033635975,0.00041111445,0.0077351085,0.0012014323,0.0005217801,0.0010029654,0.0042813476,0.023606362,0.018530626,0.31577647,0.03410217,0.59249425],"study_design_scores_gemma":[0.000116803,0.00011646542,0.0025310242,0.0007036962,0.0010349954,0.0013243691,0.003251127,0.20843059,0.10542758,0.50857085,0.16827765,0.0002147834],"about_ca_topic_score_codex":0.0043033804,"about_ca_topic_score_gemma":0.0048062387,"teacher_disagreement_score":0.0096366145,"about_ca_system_score_codex":0.0015334535,"about_ca_system_score_gemma":0.0037319986,"threshold_uncertainty_score":0.05096388},"labels":[],"label_agreement":null},{"id":"W1542530661","doi":"10.1007/978-3-540-78582-8_53","title":"Incremental Biomedical Ontology Change Management through Learning Agents","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Computer science; Process (computing); Process ontology; Domain (mathematical analysis); Data science; Knowledge management; Change management (ITSM); Domain knowledge; Risk analysis (engineering); Process management; Artificial intelligence; Engineering; Medicine; Operations management","score_opus":0.053301041765661014,"score_gpt":0.28262354644470117,"score_spread":0.22932250467904014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1542530661","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051134802,0.00050347537,0.919845,0.0010038887,0.00026091476,0.00039873557,0.0003655118,0.013834065,0.012653658],"genre_scores_gemma":[0.44197047,0.00029474884,0.54704237,0.00040996,0.000109930814,0.00023219515,0.0011907658,0.00064322207,0.008106347],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837494,0.00041339832,0.00015400906,0.00038511556,0.00056261854,0.00010994635],"domain_scores_gemma":[0.9932376,0.003465526,0.00040345005,0.0017295495,0.0009497009,0.00021415252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027127336,0.00053841574,0.0007805244,0.0014218646,0.00080401695,0.00274108,0.0030132728,0.0012413852,0.004425434],"category_scores_gemma":[0.012834069,0.0004762677,0.0008239214,0.0012812299,0.00082448527,0.0039181514,0.0034141627,0.0017937125,0.0012396205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037497477,0.00084463716,0.0056023966,0.00020139382,0.00013304212,0.00036331321,0.00082239194,0.046148214,0.009926343,0.017284028,0.013486224,0.904813],"study_design_scores_gemma":[0.00010513611,0.00012155732,0.0019456593,0.000054514563,0.0002007355,0.00029125653,0.0004105613,0.87463593,0.02693879,0.054720555,0.04052291,0.000052362488],"about_ca_topic_score_codex":0.0038708632,"about_ca_topic_score_gemma":0.005913134,"teacher_disagreement_score":0.004425434,"about_ca_system_score_codex":0.00079779624,"about_ca_system_score_gemma":0.0013819279,"threshold_uncertainty_score":0.014804542},"labels":[],"label_agreement":null},{"id":"W1544453937","doi":"10.3233/978-1-58603-891-5-811","title":"An Activity Recognition Model for Alzheimer's Patients: Extension of the COACH Task Guidance System","year":2008,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; University of Toronto; Université du Québec à Chicoutimi","funders":"","keywords":"Extension (predicate logic); Task (project management); Computer science; Psychology; Neuroscience; Speech recognition; Engineering; Programming language; Systems engineering","score_opus":0.0858046093826093,"score_gpt":0.28168924338842366,"score_spread":0.19588463400581435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544453937","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024124766,0.00038617782,0.9579618,0.0007271196,0.00006099252,0.00014050337,0.0010504813,0.0041477485,0.011400388],"genre_scores_gemma":[0.413492,0.000874669,0.5591115,0.00048720423,0.000056386045,0.00036670215,0.0032609475,0.000355008,0.02199555],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997807,0.000036464007,0.000018389366,0.00006778447,0.00007963742,0.000017112647],"domain_scores_gemma":[0.9996618,0.00016795727,0.000026341984,0.000040745523,0.00008575622,0.000017321223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042869328,0.0004799773,0.00028883273,0.00047266783,0.0002056067,0.0010341657,0.0010810564,0.0007183586,0.0032972582],"category_scores_gemma":[0.0009376187,0.00019456197,0.00052854815,0.0003752733,0.00022716375,0.0012021294,0.00039281676,0.00075326057,0.0014038072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039792733,0.00033662634,0.009255172,0.00045032802,0.00012447326,0.0007432174,0.0012235319,0.2623121,0.014109498,0.06701047,0.02631957,0.6177172],"study_design_scores_gemma":[0.000032075826,0.00006933765,0.001892099,0.000045332577,0.00005596209,0.00053860963,0.00012051876,0.94221544,0.005467022,0.017167388,0.03235982,0.000036474627],"about_ca_topic_score_codex":0.008441428,"about_ca_topic_score_gemma":0.008145019,"teacher_disagreement_score":0.008441428,"about_ca_system_score_codex":0.0006208195,"about_ca_system_score_gemma":0.00096302194,"threshold_uncertainty_score":0.016784549},"labels":[],"label_agreement":null},{"id":"W1547342418","doi":"","title":"Organizational semiotics : evolving a science of information systems : IFIP TC8/WG8.1 Working Conference on Organizational Semiotics : evolving a science of information systems, July 23-25, 2001, Montreal, Quebec, Canada","year":2002,"lang":"en","type":"book","venue":"Kluwer Academic eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Semiotics; Semiosis; Context (archaeology); Information science; Information system; Humanities; Sociology; Computer science; Epistemology; Library science; Engineering; Philosophy; Geography","score_opus":0.019675798736194718,"score_gpt":0.22094239867324145,"score_spread":0.20126659993704674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547342418","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036900432,0.5001412,0.1095375,0.20173776,0.027792403,0.0003519323,0.0013441348,0.00076810026,0.154637],"genre_scores_gemma":[0.15143096,0.5004907,0.08089392,0.016564151,0.018941542,0.00089615607,0.0038587844,0.0011035413,0.22582029],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969024,0.0014195136,0.00019307419,0.00025006392,0.0010133744,0.00022155979],"domain_scores_gemma":[0.99290764,0.0026372646,0.00025974624,0.00043128146,0.0028417585,0.00092232967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006485802,0.0012042354,0.0013513865,0.0052054627,0.0037557597,0.014373132,0.0011799874,0.00269607,0.018058598],"category_scores_gemma":[0.0070422194,0.0009405727,0.00088359375,0.0064666136,0.012991892,0.0077569494,0.0033612205,0.004854841,0.0038563546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003459928,0.000030571347,0.00078241376,0.0007025063,0.000027931897,0.00015942588,0.0063556554,0.000952777,0.0006521312,0.34882304,0.46915454,0.17232442],"study_design_scores_gemma":[0.000008745288,0.000014723648,0.0006475305,0.0008553094,0.000008045196,0.00013446207,0.002397224,0.0006030858,0.00017509719,0.12062973,0.8744961,0.000030026129],"about_ca_topic_score_codex":0.093778595,"about_ca_topic_score_gemma":0.0976295,"teacher_disagreement_score":0.093778595,"about_ca_system_score_codex":0.017722722,"about_ca_system_score_gemma":0.014222426,"threshold_uncertainty_score":0.1864655},"labels":[],"label_agreement":null},{"id":"W1548895590","doi":"10.1007/11568421_13","title":"Semantic Integration in Distributed Multidisciplinary Design Optimization Environments","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Reusability; Multidisciplinary approach; Multidisciplinary design optimization; Ontology; Software engineering; Systems engineering; Software; Service (business); Distributed computing; Engineering; Programming language","score_opus":0.02295540652687737,"score_gpt":0.2471890027655129,"score_spread":0.22423359623863554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548895590","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015895132,0.00029523254,0.97375304,0.00020598705,0.000027410146,0.00004251079,0.000038707363,0.00086405786,0.008877938],"genre_scores_gemma":[0.2749549,0.0004141149,0.71749485,0.00009266936,0.000038521703,0.00016478654,0.00041251635,0.00040481874,0.0060228524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977622,0.0009035843,0.00014029806,0.00024083254,0.0008277139,0.0001252582],"domain_scores_gemma":[0.9989619,0.00044741118,0.00007123329,0.00032455754,0.0001415992,0.000053245243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027902673,0.00069760217,0.001014513,0.0010723431,0.0010833503,0.0033014948,0.0019098632,0.0012223352,0.0038387126],"category_scores_gemma":[0.0034603274,0.00096708135,0.0011592192,0.0018595664,0.0010778378,0.004433018,0.004315653,0.0014836073,0.0007575015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002503557,0.0003627947,0.0012780738,0.00023509636,0.00015460725,0.00022764667,0.0011533777,0.3347481,0.0073014954,0.3313066,0.004028015,0.31895387],"study_design_scores_gemma":[0.00005758925,0.00005983608,0.00046428826,0.00006144485,0.000074487165,0.000103668564,0.00029548904,0.6020259,0.0064088376,0.36146468,0.028955378,0.000028426406],"about_ca_topic_score_codex":0.0011596197,"about_ca_topic_score_gemma":0.00205359,"teacher_disagreement_score":0.0038387126,"about_ca_system_score_codex":0.0007726936,"about_ca_system_score_gemma":0.0010789781,"threshold_uncertainty_score":0.01475656},"labels":[],"label_agreement":null},{"id":"W1549262493","doi":"10.1609/aimag.v28i2.2045","title":"The Twenty-Second AAAI Conference: Continuing the Content-Rich Tradition in Beautiful Vancouver, British Columbia","year":2007,"lang":"en","type":"article","venue":"AI Magazine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Operations research; Engineering; History; Computer science","score_opus":0.019198378781639467,"score_gpt":0.23302084798912545,"score_spread":0.213822469207486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549262493","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013049722,0.050925463,0.008596908,0.2354509,0.020235352,0.00012087524,0.0028983925,0.0014366602,0.6672858],"genre_scores_gemma":[0.055909175,0.03433647,0.010265698,0.013696443,0.0018519015,0.00007516578,0.003807052,0.0012238804,0.8788341],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976648,0.0002798465,0.00007830707,0.00025583434,0.0013589229,0.00036238978],"domain_scores_gemma":[0.9913686,0.0006810239,0.00020459537,0.00059700734,0.0038164202,0.0033324412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003199235,0.0005027707,0.0006537545,0.0025579056,0.0143060405,0.017644802,0.001545595,0.00221326,0.06959406],"category_scores_gemma":[0.0062708296,0.00055749813,0.00027170219,0.0057057883,0.005864018,0.0068325503,0.005480312,0.0042239875,0.014101158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003671583,0.000015342788,0.00087760435,0.0000985037,0.0000070085553,0.0001140306,0.0011812476,0.00008154032,0.00028692014,0.01419892,0.91404325,0.06905901],"study_design_scores_gemma":[0.0000019535182,0.000001416163,0.00095529313,0.000070040864,0.0000026074263,0.00002053483,0.0009293041,0.0000477065,0.00005091564,0.0014998295,0.9964096,0.000010810471],"about_ca_topic_score_codex":0.7671849,"about_ca_topic_score_gemma":0.94383925,"teacher_disagreement_score":0.23281509,"about_ca_system_score_codex":0.02840071,"about_ca_system_score_gemma":0.03993022,"threshold_uncertainty_score":0.46837234},"labels":[],"label_agreement":null},{"id":"W1549433704","doi":"10.1007/978-3-540-68825-9_9","title":"Aspects of Inconsistency Resolution in Modular Ontologies","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Modular design; Ontology; Modular programming; Ontology components; Modularity (biology); Ontology-based data integration; Process ontology; Formalism (music); Interface (matter); Focus (optics); Ontology alignment; Description logic; Information retrieval; Software engineering; Process (computing); Theoretical computer science; Programming language","score_opus":0.026038989531925374,"score_gpt":0.24303134031119653,"score_spread":0.21699235077927115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549433704","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017365152,0.0026881057,0.96109617,0.002137351,0.00017485181,0.000121684425,0.00010139219,0.00042966413,0.015885543],"genre_scores_gemma":[0.39062,0.003260488,0.59545845,0.00075581396,0.0006586784,0.0003125603,0.00073039054,0.0006301748,0.0075734616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9829296,0.0071229218,0.0018717148,0.0018065972,0.005351495,0.00091766],"domain_scores_gemma":[0.96012187,0.028201453,0.0015748255,0.0072194403,0.002430315,0.0004520196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017902583,0.00094787544,0.0016299194,0.003447473,0.0026626736,0.008299731,0.00659029,0.0041278633,0.0055222055],"category_scores_gemma":[0.0536325,0.0023381582,0.0036184844,0.0062662703,0.008314359,0.029797813,0.007361298,0.005868086,0.0006600523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073907955,0.000052580952,0.00053639937,0.0002385885,0.00008447503,0.00035695065,0.00111929,0.010551879,0.00072420406,0.9420997,0.0019268086,0.042235292],"study_design_scores_gemma":[0.0000177635,0.000009176005,0.0001439245,0.000056397184,0.000061502724,0.00021464104,0.00015156047,0.024766337,0.00087484013,0.96923256,0.0044515925,0.000019715126],"about_ca_topic_score_codex":0.00279333,"about_ca_topic_score_gemma":0.001728728,"teacher_disagreement_score":0.017902583,"about_ca_system_score_codex":0.0023927118,"about_ca_system_score_gemma":0.0017122958,"threshold_uncertainty_score":0.09467906},"labels":[],"label_agreement":null},{"id":"W1550700514","doi":"10.25071/1708-6701.23818","title":"IAML conference report","year":2010,"lang":"en","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Computer science","score_opus":0.02468977230295542,"score_gpt":0.2873919797270314,"score_spread":0.26270220742407596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550700514","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013378977,0.024127161,0.005191401,0.062832646,0.054266103,0.0009613742,0.014901633,0.0039657555,0.83241606],"genre_scores_gemma":[0.008547954,0.014849126,0.0076490017,0.010733559,0.009632194,0.0008530291,0.025417091,0.0016875833,0.92063046],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950867,0.00081418885,0.00032357793,0.0005463308,0.002693572,0.0005355206],"domain_scores_gemma":[0.9875745,0.00091574545,0.00037860445,0.000967464,0.008000913,0.002162786],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006657008,0.0010159977,0.00090828235,0.00592172,0.00253082,0.011265569,0.002368899,0.0033621902,0.30286497],"category_scores_gemma":[0.012123413,0.00041571746,0.0010768417,0.0046471828,0.0008058662,0.005280447,0.0043346495,0.0027044965,0.2586276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031321837,0.00002623052,0.00008256741,0.00020688765,0.0000035433936,0.000042948384,0.000044185494,0.000055204066,0.0002056819,0.0029812984,0.95744723,0.038872924],"study_design_scores_gemma":[0.00000337255,0.0000065322624,0.00011446719,0.000100863974,0.000002635442,0.000024183195,0.000041187992,0.000029140165,0.00008578847,0.00032564727,0.99926287,0.0000032028224],"about_ca_topic_score_codex":0.017204922,"about_ca_topic_score_gemma":0.021072518,"teacher_disagreement_score":0.30286497,"about_ca_system_score_codex":0.0059092143,"about_ca_system_score_gemma":0.013702031,"threshold_uncertainty_score":0.9943785},"labels":[],"label_agreement":null},{"id":"W1550792544","doi":"10.1007/978-3-642-13489-0_19","title":"ExpLOD: Summary-Based Exploration of Interlinking and RDF Usage in the Linked Open Data Cloud","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"SPARQL; Computer science; Linked data; RDF; Automatic summarization; RDF Schema; Cloud computing; Semantic Web; Information retrieval; Schema (genetic algorithms); Graph; Simple Knowledge Organization System; Named graph; World Wide Web; Theoretical computer science","score_opus":0.09826242608921838,"score_gpt":0.31152117850259,"score_spread":0.2132587524133716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550792544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19056141,0.0031522415,0.3858077,0.0017235308,0.00044222033,0.0005650582,0.26301318,0.122337565,0.03239719],"genre_scores_gemma":[0.3396582,0.0021693013,0.48301727,0.00026276658,0.00009053585,0.00038217127,0.15387644,0.010087839,0.010455512],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995339,0.00008459173,0.000044947625,0.00011471334,0.00017590274,0.000045998528],"domain_scores_gemma":[0.9985208,0.00089541514,0.00008999365,0.00024367069,0.000142396,0.0001078267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076941645,0.00078634295,0.00058491185,0.0041299067,0.0008208898,0.002814653,0.0008600398,0.000549474,0.014359399],"category_scores_gemma":[0.0032397057,0.00038832033,0.0009178031,0.0053592734,0.00031508677,0.003530063,0.0023754225,0.0006589577,0.0025470972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016840276,0.00034168488,0.029468326,0.002842794,0.0003898723,0.0017433118,0.0074862624,0.020919729,0.022223216,0.030540684,0.22309951,0.65926063],"study_design_scores_gemma":[0.00028277282,0.00024244274,0.029335385,0.00055513164,0.00036364293,0.0012483163,0.0076090326,0.30529973,0.04989682,0.07240329,0.5325167,0.0002468226],"about_ca_topic_score_codex":0.010114797,"about_ca_topic_score_gemma":0.029744657,"teacher_disagreement_score":0.014359399,"about_ca_system_score_codex":0.0005860916,"about_ca_system_score_gemma":0.00093223306,"threshold_uncertainty_score":0.048036933},"labels":[],"label_agreement":null},{"id":"W1550864413","doi":"10.1007/978-3-540-27779-8_9","title":"Schema-Based Natural Language Semantic Mapping","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; WordNet; SQL; Information retrieval; Natural language processing; Schema (genetic algorithms); Artificial intelligence; Lexical database; Database schema; Database; Programming language; Database design","score_opus":0.015419263256278484,"score_gpt":0.24317714428027404,"score_spread":0.22775788102399555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550864413","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033739586,0.0004915,0.97847605,0.00052785594,0.00015765984,0.00014092322,0.0010951567,0.0041520842,0.011584807],"genre_scores_gemma":[0.06367755,0.0012886563,0.9166952,0.00044412175,0.000052259857,0.0002797006,0.007174512,0.0010524116,0.009335556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983102,0.0005436942,0.00021836288,0.000337909,0.000521161,0.00006864694],"domain_scores_gemma":[0.9980198,0.00080521393,0.00007631923,0.00062795583,0.0004211669,0.000049613678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020322807,0.00066408614,0.0007613327,0.0022019614,0.000834477,0.0034382492,0.0023042327,0.0011298432,0.009514183],"category_scores_gemma":[0.005609036,0.00071706186,0.0016151359,0.003156844,0.0012845778,0.009006122,0.0028885563,0.0018669278,0.0038451313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095745585,0.00012427439,0.00053801114,0.00048879517,0.00010821195,0.00026196,0.0009210947,0.0118162045,0.005252019,0.66276526,0.03088774,0.28674063],"study_design_scores_gemma":[0.000040937437,0.000035231733,0.00036966708,0.00021893258,0.0001418004,0.00064118946,0.00039607627,0.15208977,0.015925761,0.62557673,0.20451532,0.00004859791],"about_ca_topic_score_codex":0.0036793284,"about_ca_topic_score_gemma":0.0038756875,"teacher_disagreement_score":0.009514183,"about_ca_system_score_codex":0.0010487101,"about_ca_system_score_gemma":0.001741007,"threshold_uncertainty_score":0.031828105},"labels":[],"label_agreement":null},{"id":"W1552269566","doi":"10.1016/s1363-0814(05)80006-1","title":"Chapter 3 Exploring the concept of cybercartography using the holonic tenets of integral theory","year":2005,"lang":"en","type":"book-chapter","venue":"Modern cartography","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Variety (cybernetics); Geomatics; Meaning (existential); Set (abstract data type); Interface (matter); Through-the-lens metering; Epistemology; Computer science; Sociology; Knowledge management; Management science; Engineering; Artificial intelligence; Geography; Lens (geology); Cartography; Philosophy","score_opus":0.05734647917493128,"score_gpt":0.24495414003790217,"score_spread":0.1876076608629709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552269566","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056595253,0.022645226,0.050158765,0.0064054085,0.0012813419,0.000046129426,0.00010301729,0.000093728035,0.9136068],"genre_scores_gemma":[0.24118467,0.03995763,0.037844554,0.0034272666,0.0014495216,0.00017900168,0.00032178845,0.00036880389,0.6752668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998161,0.00006129702,0.0000055701094,0.000039355957,0.000053532825,0.000024109238],"domain_scores_gemma":[0.99982125,0.00009619367,0.000011575049,0.00002187665,0.00003276457,0.00001640593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028333013,0.0005178894,0.00028442196,0.00092645193,0.0015860073,0.004671078,0.00062252535,0.0013851541,0.019479746],"category_scores_gemma":[0.0007083811,0.00023330239,0.00049859006,0.0013125782,0.004318547,0.004021943,0.0012958088,0.0023847271,0.002085215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023639961,0.0000064534847,0.00005358366,0.000041376992,0.0000016654473,0.000030258834,0.0010107987,0.00016003549,0.00011715506,0.982335,0.0074369744,0.008804433],"study_design_scores_gemma":[0.0000017932016,0.000008380879,0.0002254208,0.00028376238,0.0000049505084,0.00016654648,0.0010872879,0.00047790125,0.00038521172,0.501709,0.49564192,0.000007883386],"about_ca_topic_score_codex":0.0037230738,"about_ca_topic_score_gemma":0.006263952,"teacher_disagreement_score":0.019479746,"about_ca_system_score_codex":0.0020720195,"about_ca_system_score_gemma":0.0013937743,"threshold_uncertainty_score":0.065166235},"labels":[],"label_agreement":null},{"id":"W1555007144","doi":"10.1007/978-3-540-75975-1_12","title":"The OO jDREW Engine of Rule Responder: Naf Hornlog RuleML Query Answering","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Semantic Web Rule Language; World Wide Web; Semantic reasoner; Inference engine; Rule-based system; XML; Database; Sublanguage; Java; Web service; Programming language; Information retrieval; Web modeling; Markup language; XHTML; Artificial intelligence; Semantic analytics","score_opus":0.02212135089613528,"score_gpt":0.26016596336162623,"score_spread":0.23804461246549094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555007144","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069864187,0.0005755361,0.63725376,0.0008256649,0.00036149353,0.00042035925,0.005597445,0.3248229,0.02315637],"genre_scores_gemma":[0.12721711,0.0008457315,0.7135389,0.0033774301,0.00037920108,0.0005371866,0.02842777,0.062462684,0.06321401],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974401,0.00040607175,0.00028823095,0.0005263934,0.0011455958,0.00019353532],"domain_scores_gemma":[0.9961881,0.0018492145,0.00012609098,0.0011974085,0.0005180365,0.00012119277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038234934,0.0010043785,0.0017261689,0.002187553,0.0006942433,0.004725325,0.0045678676,0.0017848638,0.039331287],"category_scores_gemma":[0.011772239,0.0015013845,0.0015277191,0.0016590032,0.0011317201,0.005062589,0.0032293622,0.0018548339,0.016619053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010886362,0.00037134776,0.0036195123,0.0013913821,0.00023180954,0.00060459255,0.0010583446,0.0043139975,0.022780651,0.052911025,0.2346978,0.6769309],"study_design_scores_gemma":[0.0006668486,0.00018934358,0.002357841,0.0003516682,0.00039556,0.0010157677,0.00040866417,0.25286967,0.08835698,0.08360807,0.56948614,0.00029343646],"about_ca_topic_score_codex":0.01121166,"about_ca_topic_score_gemma":0.010188068,"teacher_disagreement_score":0.039331287,"about_ca_system_score_codex":0.0011538613,"about_ca_system_score_gemma":0.0016834756,"threshold_uncertainty_score":0.13157624},"labels":[],"label_agreement":null},{"id":"W1556278383","doi":"10.1007/978-3-540-24625-1_2","title":"Lexicon Based Ontology Construction","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Software engineering; Process ontology; Documentation; Interoperability; Deliverable; World Wide Web; Ontology language; Semantic Web; Programming language; Systems engineering; Engineering","score_opus":0.018455768450639534,"score_gpt":0.24336394804342196,"score_spread":0.22490817959278242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556278383","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006160448,0.0003019022,0.9394709,0.00038753223,0.0002602416,0.00025625364,0.0014132585,0.0065834285,0.04516611],"genre_scores_gemma":[0.11968118,0.0008503023,0.8240109,0.00035010386,0.00008371291,0.00037606648,0.014397327,0.002807799,0.037442643],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988267,0.00026823877,0.000120187455,0.0002597384,0.00042418903,0.00010093577],"domain_scores_gemma":[0.9991641,0.00018937813,0.000028750737,0.00027141525,0.00031209897,0.000034315613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007478013,0.00071809586,0.0007050027,0.0032100924,0.0014606828,0.0035033287,0.0014441877,0.0008371326,0.0204785],"category_scores_gemma":[0.003195108,0.00074409705,0.0017483142,0.0029214465,0.0008624208,0.0044562803,0.00413197,0.0017296474,0.01515324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080399346,0.00015376382,0.00087314006,0.0004254379,0.00009185757,0.0005474272,0.0009177425,0.0039835125,0.017402623,0.339152,0.04891736,0.58745474],"study_design_scores_gemma":[0.00003684661,0.000049007453,0.00092888076,0.00026649403,0.00022107587,0.0012590038,0.0008910344,0.08151583,0.0465709,0.42342755,0.44475144,0.0000819562],"about_ca_topic_score_codex":0.002507782,"about_ca_topic_score_gemma":0.0046207327,"teacher_disagreement_score":0.0204785,"about_ca_system_score_codex":0.0009175687,"about_ca_system_score_gemma":0.00195369,"threshold_uncertainty_score":0.06850737},"labels":[],"label_agreement":null},{"id":"W1556554067","doi":"10.1007/978-3-540-68123-6_63","title":"An Effective Ontology Matching Technique","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Matching (statistics); Ontology; Computer science; Ontology alignment; Information retrieval; Mathematics; Process ontology; Philosophy; Epistemology; Semantic Web; Statistics","score_opus":0.013134951960008877,"score_gpt":0.2595407562102899,"score_spread":0.246405804250281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556554067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044755004,0.00024107035,0.9893953,0.00012538176,0.000099811405,0.000077221455,0.00011207018,0.0011639005,0.00430968],"genre_scores_gemma":[0.057877608,0.00032805873,0.93198335,0.00013818788,0.000050723742,0.00008235397,0.0006459881,0.00035168233,0.008542145],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977284,0.0003587587,0.00016531568,0.00047745183,0.0011271856,0.00014293172],"domain_scores_gemma":[0.9987404,0.00035243435,0.00005455677,0.00047622426,0.00034273774,0.000033653665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010772917,0.00067286566,0.0008661316,0.003269795,0.0015256963,0.0018586108,0.0018239529,0.0011351202,0.008114716],"category_scores_gemma":[0.0036534013,0.00059601484,0.0013121446,0.00435956,0.00065711484,0.0047743204,0.0029654782,0.0015798776,0.0031879977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100007885,0.00017343955,0.0005173619,0.00022473061,0.00009507519,0.00020775582,0.00022713517,0.0034432772,0.032870114,0.081747904,0.011367796,0.86902547],"study_design_scores_gemma":[0.00008059119,0.0001713561,0.0020999273,0.00016962175,0.00048721672,0.00276755,0.00070462795,0.3860158,0.13466263,0.30294645,0.16977745,0.00011678007],"about_ca_topic_score_codex":0.0018402333,"about_ca_topic_score_gemma":0.0032883394,"teacher_disagreement_score":0.008114716,"about_ca_system_score_codex":0.0005794855,"about_ca_system_score_gemma":0.0014298782,"threshold_uncertainty_score":0.027146459},"labels":[],"label_agreement":null},{"id":"W1556932833","doi":"10.1007/978-3-540-88564-1_33","title":"An Interface-Based Ontology Modularization Framework for Knowledge Encapsulation","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Encapsulation (networking); Modular programming; Software engineering; Ontology; Programming language","score_opus":0.03219758898829777,"score_gpt":0.29448525506737694,"score_spread":0.26228766607907916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1556932833","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090972765,0.00007932542,0.99303097,0.00014511899,0.000045547586,0.000090814865,0.00011928319,0.003301441,0.0022778073],"genre_scores_gemma":[0.02620469,0.0002644838,0.96601135,0.00021777973,0.00006023689,0.0002959997,0.0010590501,0.0011751256,0.0047111716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787295,0.00041832917,0.00038623746,0.00039253684,0.0007188666,0.00021110203],"domain_scores_gemma":[0.9980744,0.0003975591,0.00011951925,0.0007717998,0.00048740307,0.0001491996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004513423,0.001038038,0.0011240976,0.002409378,0.001582256,0.0061346604,0.0041440134,0.0018020623,0.005938805],"category_scores_gemma":[0.0044115474,0.00140117,0.0030459983,0.002583848,0.0025110275,0.010219785,0.0059715523,0.0039573917,0.0032310283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008488159,0.00014941092,0.00039607118,0.0003035726,0.00008926048,0.00032451004,0.0013039341,0.00541339,0.008979162,0.80609846,0.01507562,0.16178164],"study_design_scores_gemma":[0.00007548007,0.000073204974,0.00037119197,0.00030189136,0.00031391688,0.00067115156,0.00032623863,0.1275353,0.024668926,0.6125437,0.2329856,0.00013332348],"about_ca_topic_score_codex":0.003864217,"about_ca_topic_score_gemma":0.004517909,"teacher_disagreement_score":0.0061346604,"about_ca_system_score_codex":0.0012740514,"about_ca_system_score_gemma":0.002712425,"threshold_uncertainty_score":0.023869574},"labels":[],"label_agreement":null},{"id":"W1557482210","doi":"","title":"Conjunctive Query Answering in EL using a Database System.","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conjunctive query; Computer science; Relational database; View; Query optimization; Relational database management system; Information retrieval; Query language; Sargable; Boolean conjunctive query; Database; SQL; Web search query; Database design; Search engine","score_opus":0.05473675983309581,"score_gpt":0.27214378080310586,"score_spread":0.21740702097001005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557482210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023093043,0.0008520894,0.96493775,0.0013981082,0.00009386557,0.00018652398,0.00046588364,0.002000176,0.006972618],"genre_scores_gemma":[0.55434024,0.00065034017,0.43831432,0.0012964753,0.00017792033,0.00021200659,0.0013608029,0.00013474005,0.0035131164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9895036,0.0046280506,0.0010033003,0.0014114192,0.0029163654,0.00053718314],"domain_scores_gemma":[0.9836775,0.012278507,0.00065318675,0.0016213714,0.0014663859,0.00030303354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008211794,0.00048144476,0.0008886466,0.0011890834,0.000995763,0.0057110195,0.0021443334,0.0012191834,0.0033377793],"category_scores_gemma":[0.020301707,0.0005905598,0.0011854949,0.00245265,0.0019000048,0.008425078,0.003782195,0.0017333019,0.0007272727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008871873,0.00057049125,0.005295574,0.0011799763,0.00046642672,0.0024437087,0.0022899134,0.06685525,0.013556714,0.687408,0.017578809,0.20146805],"study_design_scores_gemma":[0.00016506099,0.00012237,0.0006334317,0.00007497775,0.00019684163,0.0010602624,0.0007327146,0.65375197,0.01639505,0.30376267,0.023047417,0.000057214136],"about_ca_topic_score_codex":0.0046981005,"about_ca_topic_score_gemma":0.0048791897,"teacher_disagreement_score":0.008211794,"about_ca_system_score_codex":0.0018672568,"about_ca_system_score_gemma":0.001223485,"threshold_uncertainty_score":0.0434286},"labels":[],"label_agreement":null},{"id":"W1558144054","doi":"10.1007/978-3-642-00282-3_11","title":"Modeling Tools and Ontology Development","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Unified Modeling Language; Ontology; Computer science; Software engineering; Model transformation; Programming language; Artificial intelligence; Epistemology; Software","score_opus":0.06290277157608946,"score_gpt":0.24551017551231685,"score_spread":0.18260740393622737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558144054","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016429386,0.015547254,0.697064,0.005319581,0.001115366,0.00013007513,0.00042414857,0.0022044475,0.27655223],"genre_scores_gemma":[0.060769003,0.0392163,0.5610313,0.0020898602,0.0008499062,0.0007048026,0.0035274916,0.002469657,0.32934177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879575,0.00036838668,0.00010641242,0.00017324061,0.00049588725,0.000060287573],"domain_scores_gemma":[0.9990037,0.00053497363,0.00003945963,0.00024229077,0.00014828972,0.000031405314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018315852,0.0014933029,0.00093659776,0.003199868,0.0014963904,0.007171485,0.0023668918,0.0018016025,0.011003868],"category_scores_gemma":[0.0037556812,0.001209335,0.0010176018,0.004648085,0.0031539553,0.014288251,0.0029679239,0.0034374553,0.0058753174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002577494,0.000016039894,0.000030938263,0.000115230134,0.000008063557,0.00004443407,0.00031570226,0.00096714724,0.00015765465,0.90581226,0.02209698,0.070432946],"study_design_scores_gemma":[0.0000026479381,0.000003248303,0.000034197314,0.00020600286,0.00001075421,0.000116119656,0.00012907089,0.0035899659,0.00046681648,0.6257643,0.3696672,0.0000096528165],"about_ca_topic_score_codex":0.004430266,"about_ca_topic_score_gemma":0.004601239,"teacher_disagreement_score":0.011003868,"about_ca_system_score_codex":0.002655818,"about_ca_system_score_gemma":0.002819687,"threshold_uncertainty_score":0.03681165},"labels":[],"label_agreement":null},{"id":"W1558269691","doi":"","title":"Conceptual Modeling: Foundations and Applications: Essays in Honor of John Mylopoulos","year":2009,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Software engineering; Metamodeling; Conceptual model; Conceptual schema; Database","score_opus":0.03667283968681038,"score_gpt":0.2712702265089091,"score_spread":0.2345973868220987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558269691","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015086321,0.37711954,0.0366074,0.43927637,0.039098132,0.000035237037,0.00018989606,0.00014381985,0.10602103],"genre_scores_gemma":[0.106482595,0.44500852,0.047186878,0.08481325,0.111159734,0.00027105515,0.00059877266,0.0007811434,0.20369813],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890745,0.00038757484,0.00007704116,0.00017483867,0.00039897268,0.00005422415],"domain_scores_gemma":[0.9959799,0.0026780982,0.00012675709,0.00017931686,0.00084005744,0.00019588628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032196306,0.0008694043,0.0008251864,0.0017419643,0.0019004623,0.0052306275,0.00084082165,0.0025768213,0.0024746645],"category_scores_gemma":[0.007519807,0.00058892416,0.000577851,0.0023261097,0.0070300857,0.012182283,0.0022964901,0.00657536,0.0014897231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011203042,0.000022698337,0.000056831002,0.00014937932,0.000009811498,0.000025420031,0.001112834,0.0004399566,0.00010375464,0.44271478,0.5138599,0.041493326],"study_design_scores_gemma":[0.0000061573555,0.0000052180053,0.00015265355,0.00044039817,0.0000072871117,0.00007053228,0.0004909205,0.0005369514,0.000093429306,0.2759959,0.72218627,0.000014315708],"about_ca_topic_score_codex":0.003000171,"about_ca_topic_score_gemma":0.0039017273,"teacher_disagreement_score":0.0052306275,"about_ca_system_score_codex":0.0032722156,"about_ca_system_score_gemma":0.0022682392,"threshold_uncertainty_score":0.023741722},"labels":[],"label_agreement":null},{"id":"W1558283425","doi":"","title":"Applications and extensions of PTIME description logics with functional constraints","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"P; EXPTIME; Computer science; Description logic; Logic program; Class (philosophy); Theoretical computer science; Conjunctive query; Computational complexity theory; Programming language; Artificial intelligence; Time complexity; Logic programming; Algorithm; PSPACE; Database","score_opus":0.0284549485986621,"score_gpt":0.22684674920887385,"score_spread":0.19839180061021175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558283425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013591852,0.004578509,0.9430393,0.004600917,0.00059006317,0.0002004868,0.00043073666,0.00087611715,0.032091964],"genre_scores_gemma":[0.24489832,0.0073731737,0.7311364,0.0026087125,0.0014385103,0.0004944408,0.0007815517,0.0003375704,0.010931343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99313956,0.0025270637,0.0007196247,0.0012791656,0.0019319634,0.00040274963],"domain_scores_gemma":[0.98041534,0.014529767,0.00078807655,0.0028070165,0.0009906082,0.00046914542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071292785,0.0015238305,0.0011061575,0.002042033,0.001594524,0.004590006,0.004567486,0.0022974154,0.009285946],"category_scores_gemma":[0.020476768,0.0013755156,0.004443116,0.0033839825,0.0056706853,0.018809592,0.006493112,0.00654307,0.0013208298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010787727,0.00006919299,0.0002342705,0.00048339355,0.00005100667,0.00026787896,0.00027140864,0.022855334,0.0011154863,0.92302,0.002231783,0.049292296],"study_design_scores_gemma":[0.00003878415,0.00003349217,0.00006567976,0.000088863184,0.000032024047,0.0002249074,0.00006261615,0.045022003,0.0011921737,0.9353817,0.017831486,0.000026305712],"about_ca_topic_score_codex":0.0029595795,"about_ca_topic_score_gemma":0.0030220856,"teacher_disagreement_score":0.009285946,"about_ca_system_score_codex":0.003867388,"about_ca_system_score_gemma":0.0018600577,"threshold_uncertainty_score":0.037703693},"labels":[],"label_agreement":null},{"id":"W1558388442","doi":"10.1007/978-3-642-13437-1_107","title":"Authoring Problem-Solving ITS with ASTUS","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Tracing; TUTOR; Constraint (computer-aided design); Task (project management); SQL; Domain (mathematical analysis); Programming language; Software engineering; Artificial intelligence; Human–computer interaction; Systems engineering","score_opus":0.01924184846946636,"score_gpt":0.24017185127639348,"score_spread":0.22093000280692712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558388442","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00834599,0.00011838244,0.9139499,0.00038169464,0.00033201018,0.00020064761,0.0020225134,0.038546193,0.03610278],"genre_scores_gemma":[0.124781944,0.00030377795,0.82089436,0.00022271229,0.00010724321,0.00051978906,0.007282881,0.012154179,0.033732988],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866176,0.00044697485,0.00013339617,0.0001931738,0.00045605545,0.00010861448],"domain_scores_gemma":[0.99621886,0.0021925103,0.000116101575,0.00084621593,0.0004570629,0.0001691483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016180835,0.0012489633,0.0007926981,0.0010707612,0.0009389365,0.0026734103,0.0018281762,0.0012398255,0.03211346],"category_scores_gemma":[0.008043564,0.000932688,0.001908828,0.0010691676,0.0012713706,0.0032615939,0.0042118826,0.0028627287,0.0078758085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006704957,0.00038204403,0.002581866,0.0017599176,0.00016436799,0.0009918464,0.003761529,0.106675915,0.0112555465,0.2888876,0.15889432,0.42397457],"study_design_scores_gemma":[0.00017574632,0.00008265881,0.00021925895,0.00025889813,0.000079508885,0.00036454192,0.00037218627,0.3654386,0.018231243,0.18080182,0.4339238,0.000051718227],"about_ca_topic_score_codex":0.00147209,"about_ca_topic_score_gemma":0.0047296863,"teacher_disagreement_score":0.03211346,"about_ca_system_score_codex":0.00073866185,"about_ca_system_score_gemma":0.0014183971,"threshold_uncertainty_score":0.10743022},"labels":[],"label_agreement":null},{"id":"W1559495379","doi":"10.1007/978-3-540-73681-3_6","title":"Using Cognitive Archetypes and Conceptual Graphs to Model Dynamic Phenomena in Spatial Environments","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Archetype; Context (archaeology); Domain (mathematical analysis); Conceptual model; Spatial intelligence; Spatial cognition; Space (punctuation); Artificial intelligence; Cognitive model; Qualitative reasoning; Cognition; Cognitive map; Mathematics","score_opus":0.047276882362646114,"score_gpt":0.2856866817575561,"score_spread":0.23840979939491003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559495379","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02345176,0.00039936844,0.959366,0.00093201775,0.00008345113,0.00010799151,0.0005334415,0.0006980284,0.014428032],"genre_scores_gemma":[0.36631152,0.0008346639,0.62563103,0.00021252826,0.000036939553,0.0003903902,0.0011569075,0.00023652092,0.0051894584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999483,0.00023351549,0.00004723276,0.000108860346,0.00008580197,0.000041642237],"domain_scores_gemma":[0.9984586,0.0010045343,0.00010915045,0.00023251279,0.00012745899,0.00006773093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095054886,0.00088056264,0.00043054725,0.0018843873,0.0008912401,0.0035239877,0.0016940662,0.0012748793,0.0035578776],"category_scores_gemma":[0.0041854586,0.0007452768,0.001766886,0.002204534,0.0031776738,0.008076827,0.0020442535,0.0023348627,0.00052644446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024163766,0.000038872928,0.0005903581,0.00010246449,0.000039297895,0.00014458259,0.0013677251,0.07794594,0.0005754333,0.89947104,0.0012068814,0.018493287],"study_design_scores_gemma":[0.000017909142,0.000011296447,0.00018954388,0.000042945903,0.00003703754,0.000067843874,0.00036064457,0.16034068,0.00044367954,0.8260282,0.012438513,0.000021629183],"about_ca_topic_score_codex":0.018764397,"about_ca_topic_score_gemma":0.020202637,"teacher_disagreement_score":0.018764397,"about_ca_system_score_codex":0.0018930455,"about_ca_system_score_gemma":0.0015279577,"threshold_uncertainty_score":0.03731036},"labels":[],"label_agreement":null},{"id":"W1559568089","doi":"10.3233/978-1-60750-535-8-3","title":"Ontological Lessons from the Semantics of Mass and Count Nouns","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Noun; Linguistics; Semantics (computer science); Computer science; Natural language processing; Programming language; Philosophy","score_opus":0.05509765901289863,"score_gpt":0.28593967784831464,"score_spread":0.23084201883541602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559568089","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04703158,0.0065155537,0.32423317,0.034318082,0.0018973978,0.00010270072,0.0012627303,0.00054031395,0.58409846],"genre_scores_gemma":[0.8947806,0.00241643,0.07371886,0.0040051956,0.0017912496,0.0002517362,0.0012088779,0.0006281437,0.021198887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99546885,0.0022069858,0.00039786936,0.00080906646,0.00081939745,0.0002977248],"domain_scores_gemma":[0.99377453,0.003208134,0.00043799067,0.0012190664,0.0010067797,0.00035348488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004260273,0.0009776256,0.0010745033,0.0039445,0.005359693,0.00951102,0.0025236702,0.0032947562,0.010102935],"category_scores_gemma":[0.011616935,0.00093319284,0.0013730584,0.0034258738,0.023654662,0.03297254,0.0055565396,0.005108293,0.0016504312],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011353742,0.0000039804404,0.00005660771,0.00001876001,0.0000025343554,0.000025220097,0.0014444345,0.000073854106,0.00005189179,0.9954673,0.00092541,0.0019185231],"study_design_scores_gemma":[0.00001098473,0.0000046585114,0.00015929178,0.000033615546,0.0000057951847,0.00008236245,0.001087147,0.0004480344,0.000092141956,0.9735502,0.024517866,0.000007918027],"about_ca_topic_score_codex":0.007335813,"about_ca_topic_score_gemma":0.0058413562,"teacher_disagreement_score":0.010102935,"about_ca_system_score_codex":0.0045266654,"about_ca_system_score_gemma":0.0020598804,"threshold_uncertainty_score":0.03379768},"labels":[],"label_agreement":null},{"id":"W1561051808","doi":"10.1007/978-3-642-10871-6_27","title":"SHARE: A Semantic Web Query Engine for Bioinformatics","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"SPARQL; Computer science; RDF; Semantic Web; World Wide Web; Scripting language; Workflow; Information retrieval; Web service; Pipeline (software); Linked data; Database; Programming language","score_opus":0.01929409123835608,"score_gpt":0.2444637696803717,"score_spread":0.22516967844201563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561051808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006908932,0.0015435586,0.7024519,0.0011697686,0.00023647658,0.00045312903,0.02466204,0.25517422,0.0073999646],"genre_scores_gemma":[0.09467878,0.0031008478,0.6921281,0.0040447176,0.0003360723,0.0016246329,0.12837584,0.056057252,0.019653795],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984073,0.00028674284,0.00019547266,0.00024557195,0.0007545077,0.00011046048],"domain_scores_gemma":[0.99832124,0.00082699425,0.00010173687,0.000371962,0.0002370993,0.00014092836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029741868,0.001844458,0.0018489371,0.0028722219,0.000936289,0.003034025,0.0030667884,0.001729911,0.013357411],"category_scores_gemma":[0.0056214062,0.0013436845,0.0016549283,0.0030053928,0.0011040006,0.006241156,0.004529857,0.0016839964,0.0093939835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00254722,0.000312663,0.0041974755,0.003310245,0.0008933976,0.0009509025,0.0013857629,0.015087232,0.053403955,0.072918415,0.5479822,0.29701048],"study_design_scores_gemma":[0.0011732791,0.0002723099,0.003555603,0.00045618336,0.0007327102,0.0018371623,0.0005932109,0.1609191,0.07164319,0.17978829,0.578628,0.00040089307],"about_ca_topic_score_codex":0.0035826305,"about_ca_topic_score_gemma":0.0050080456,"teacher_disagreement_score":0.013357411,"about_ca_system_score_codex":0.00094833213,"about_ca_system_score_gemma":0.0014846108,"threshold_uncertainty_score":0.044684947},"labels":[],"label_agreement":null},{"id":"W1562944763","doi":"10.1007/978-1-4419-7335-1_2","title":"Knowledge Representation and Reasoning in Norm-Parameterized Fuzzy Description Logics","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of New Brunswick","funders":"","keywords":"Description logic; Soundness; Parameterized complexity; T-norm fuzzy logics; Computer science; Knowledge representation and reasoning; Fuzzy logic; Web Ontology Language; Semantic Web; Theoretical computer science; Artificial intelligence; Programming language; Fuzzy set; Algorithm; Fuzzy classification","score_opus":0.05757229989311663,"score_gpt":0.2821647937971505,"score_spread":0.22459249390403385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562944763","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004145403,0.004608189,0.9589988,0.0011105286,0.00019694495,0.000065687236,0.00031089876,0.00032952157,0.030234024],"genre_scores_gemma":[0.18273075,0.009118154,0.7766695,0.0005294978,0.00040612507,0.00028633812,0.0019505281,0.00020401484,0.028105097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998042,0.00048221226,0.00022566224,0.0002279574,0.00093809894,0.00008400588],"domain_scores_gemma":[0.9988331,0.00065556716,0.000052362433,0.00021027532,0.00021792603,0.000030801904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022040452,0.0006154062,0.0008864293,0.0015367314,0.00078890094,0.005607531,0.0022626712,0.0010952798,0.003685548],"category_scores_gemma":[0.0043030046,0.00061159173,0.0012903449,0.0035636956,0.0023454889,0.01033408,0.0015696574,0.0025092259,0.0008744998],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018705803,0.00002474083,0.00006149591,0.00015680678,0.000020669608,0.000049056736,0.00020840157,0.0088470895,0.0006323251,0.9025929,0.0037093798,0.083678365],"study_design_scores_gemma":[0.0000046125965,0.0000049729197,0.000040787683,0.000051932504,0.000012320238,0.000042235286,0.000049531187,0.036076646,0.00073187915,0.9449793,0.017994838,0.00001093048],"about_ca_topic_score_codex":0.00443938,"about_ca_topic_score_gemma":0.0031866794,"teacher_disagreement_score":0.005607531,"about_ca_system_score_codex":0.0031891903,"about_ca_system_score_gemma":0.0013516428,"threshold_uncertainty_score":0.023139298},"labels":[],"label_agreement":null},{"id":"W1563140451","doi":"10.17705/1jais.00201","title":"Guidelines for Empirical Evaluations of Conceptual Modeling Grammars","year":2009,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Queensland University of Technology","keywords":"Rule-based machine translation; Computer science; Grammar; L-attributed grammar; Scripting language; Empirical research; Semantics (computer science); Domain (mathematical analysis); Conceptual model; Natural language processing; Artificial intelligence; Context-free grammar; Programming language; Linguistics; Mathematics","score_opus":0.15457990693162435,"score_gpt":0.3942508206520433,"score_spread":0.23967091372041896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563140451","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03493594,0.008302816,0.56837076,0.026630647,0.0019158059,0.13915887,0.008953518,0.002394368,0.20933725],"genre_scores_gemma":[0.047551114,0.0020073631,0.7591991,0.0029273287,0.00013897075,0.17994274,0.0034951558,0.0006823589,0.004055913],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.42014918,0.401126,0.09964733,0.008129772,0.067300625,0.0036470927],"domain_scores_gemma":[0.14401166,0.49262226,0.030024897,0.08377294,0.24617566,0.0033925886],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.43658906,0.0027933244,0.0028734652,0.022907369,0.008610808,0.02078047,0.010269344,0.0086155515,0.021502277],"category_scores_gemma":[0.74139565,0.003754843,0.004878021,0.02280976,0.011337974,0.024095915,0.010446501,0.009776298,0.0076974565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089931575,0.003496503,0.016037757,0.01164986,0.00043762886,0.0007842099,0.054388724,0.0048543834,0.0027346185,0.38666555,0.13043346,0.38761795],"study_design_scores_gemma":[0.0019865164,0.0012309555,0.021583138,0.04210814,0.0005778739,0.0006656281,0.047979787,0.011213102,0.0066623627,0.30796736,0.5573763,0.0006487898],"about_ca_topic_score_codex":0.009407789,"about_ca_topic_score_gemma":0.018873734,"teacher_disagreement_score":0.43658906,"about_ca_system_score_codex":0.016693922,"about_ca_system_score_gemma":0.025075417,"threshold_uncertainty_score":0.694786},"labels":[],"label_agreement":null},{"id":"W1564486962","doi":"10.19173/irrodl.v2i2.45","title":"Selection of Collaborative Tools","year":2002,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Athabasca University; Centennial College","funders":"","keywords":"Selection (genetic algorithm); Computer science; Educational technology; Data science; World Wide Web; Knowledge management; Mathematics education; Artificial intelligence; Psychology","score_opus":0.13885991594851593,"score_gpt":0.42939997712171896,"score_spread":0.290540061173203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564486962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6652423,0.011328617,0.1401307,0.002449968,0.0021201288,0.025498148,0.012451296,0.002663123,0.13811566],"genre_scores_gemma":[0.71933687,0.0046928637,0.19234014,0.0019870268,0.00050262985,0.0358516,0.0105530955,0.0008876043,0.03384819],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9836992,0.0035590576,0.0022894985,0.0013696576,0.006547089,0.0025354803],"domain_scores_gemma":[0.974374,0.011592542,0.0015053176,0.0031116556,0.006866402,0.002550127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070511047,0.0011714208,0.0013692869,0.011115941,0.0022297471,0.004857226,0.0018919295,0.0023352746,0.019648343],"category_scores_gemma":[0.046016876,0.00046948573,0.0014240139,0.0075100483,0.0006564645,0.003354837,0.003717028,0.0010073239,0.009025852],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001964024,0.0017125346,0.06009928,0.0057355966,0.00023888757,0.0062958766,0.018739346,0.0007823991,0.016318617,0.009906518,0.02959707,0.84860986],"study_design_scores_gemma":[0.0012068202,0.005156692,0.09779188,0.0053127245,0.0007553659,0.0130668385,0.046875566,0.004816277,0.0428236,0.011887751,0.7698372,0.00046928754],"about_ca_topic_score_codex":0.0005227799,"about_ca_topic_score_gemma":0.000898946,"teacher_disagreement_score":0.019648343,"about_ca_system_score_codex":0.0008115418,"about_ca_system_score_gemma":0.0024976993,"threshold_uncertainty_score":0.06573027},"labels":[],"label_agreement":null},{"id":"W1566072669","doi":"10.63997/jct.v27i2.352","title":"The Visceral Imagination: A Fertile Space for Non-Textual Knowing","year":2011,"lang":"en","type":"article","venue":"Journal of Curriculum Theorizing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Space (punctuation); Aesthetics; Cognitive psychology; Psychology; Art; Philosophy; Linguistics","score_opus":0.017989240697138344,"score_gpt":0.26263390133668435,"score_spread":0.244644660639546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566072669","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124025725,0.0048811217,0.20366174,0.04428081,0.0011496958,0.00008817798,0.00007079181,0.00033481565,0.62150705],"genre_scores_gemma":[0.9731065,0.00091267447,0.00988836,0.0010483752,0.00016024987,0.00005526253,0.000030031539,0.00014017554,0.014658471],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951794,0.0035478151,0.00009884899,0.00033908949,0.0005547145,0.00028015056],"domain_scores_gemma":[0.99514645,0.003092926,0.0003459362,0.00064662064,0.00030907543,0.0004590031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004337488,0.00045090125,0.00042131115,0.0012881652,0.005245113,0.013604779,0.0011287696,0.0021781495,0.0048559583],"category_scores_gemma":[0.008335274,0.00026461223,0.00042989576,0.00078914827,0.0573154,0.017280066,0.009349299,0.004984958,0.0007096336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010201405,0.000011967508,0.00013447406,0.000051954896,0.0000025679208,0.0001598234,0.07554035,0.0000726692,0.00048161537,0.91807324,0.00091532536,0.004545816],"study_design_scores_gemma":[0.000019505882,0.00004843072,0.00031908296,0.00027477398,0.00001025264,0.0006484904,0.1307372,0.0006116232,0.0012451182,0.7038489,0.16220887,0.00002773871],"about_ca_topic_score_codex":0.00053633057,"about_ca_topic_score_gemma":0.00065694295,"teacher_disagreement_score":0.013604779,"about_ca_system_score_codex":0.0017858597,"about_ca_system_score_gemma":0.001963478,"threshold_uncertainty_score":0.022939086},"labels":[],"label_agreement":null},{"id":"W1566644791","doi":"10.1007/11814771_52","title":"On Keys and Functional Dependencies as First-Class Citizens in Description Logics","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decidability; Negation; Identification (biology); Dependency theory (database theory); Scope (computer science); Computer science; Class (philosophy); Monotone polygon; Functional dependency; Theoretical computer science; Logical consequence; Mathematics; Programming language; Artificial intelligence; Data mining","score_opus":0.025352472396076017,"score_gpt":0.2213176776993242,"score_spread":0.19596520530324818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566644791","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01825588,0.0025199673,0.93913066,0.0034213145,0.00030820872,0.00009206797,0.00044395134,0.0006050309,0.03522291],"genre_scores_gemma":[0.50981075,0.0055720187,0.45221132,0.0018489342,0.00070284226,0.00043219415,0.0015738147,0.0008402347,0.027007846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995981,0.0016801086,0.00038085258,0.00071492343,0.00080414925,0.00043898323],"domain_scores_gemma":[0.991771,0.006045138,0.0002378658,0.0012896484,0.00039649836,0.00025987404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062840274,0.00117797,0.0015275177,0.0022608861,0.0026446949,0.007036426,0.0030207024,0.0028840934,0.0051740594],"category_scores_gemma":[0.009940195,0.0020311843,0.0030061675,0.0045499112,0.010092569,0.039133444,0.0045558736,0.007904808,0.0011100279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015170001,0.000009174041,0.0000771909,0.000034145167,0.0000054062816,0.000031366882,0.00030793226,0.0007374896,0.00011647712,0.9906426,0.0007070656,0.007315924],"study_design_scores_gemma":[0.0000055769133,0.0000036908352,0.0000220166,0.000020111027,0.000011569957,0.000023219814,0.000057827998,0.0026744956,0.0002314594,0.9935049,0.0034384131,0.000006751593],"about_ca_topic_score_codex":0.0056470255,"about_ca_topic_score_gemma":0.0046814694,"teacher_disagreement_score":0.007036426,"about_ca_system_score_codex":0.0041978145,"about_ca_system_score_gemma":0.0016224742,"threshold_uncertainty_score":0.033233523},"labels":[],"label_agreement":null},{"id":"W1566938781","doi":"","title":"From Glossaries to Ontologies: Disaster Management Domain","year":2011,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Ontology; Computer science; Domain (mathematical analysis); Emergency management; Glossary; Upper ontology; Ontology learning; Domain knowledge; Interoperability; Knowledge management; Data science; World Wide Web; Information retrieval; Suggested Upper Merged Ontology; Linguistics","score_opus":0.12986403757717715,"score_gpt":0.30205296505426227,"score_spread":0.1721889274770851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566938781","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13178594,0.006208422,0.73955715,0.007198459,0.0011099704,0.0016937503,0.03230177,0.0049141003,0.07523044],"genre_scores_gemma":[0.3009493,0.00523312,0.63682735,0.0012283205,0.00018340246,0.00091841095,0.04629267,0.0014696129,0.006897847],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99710196,0.0010304288,0.00072596374,0.00035577535,0.00071735884,0.00006846284],"domain_scores_gemma":[0.9887949,0.0057652127,0.0012810038,0.002002151,0.0019040478,0.00025259488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003365424,0.0005165642,0.00043917552,0.0063019297,0.0018763756,0.0045093796,0.0009991575,0.00066426146,0.00520566],"category_scores_gemma":[0.01695439,0.00045354423,0.00061110436,0.0091963485,0.0014299033,0.0058859303,0.003035592,0.002139007,0.001417028],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003090515,0.00032413256,0.010754025,0.0037117144,0.00017502907,0.0017283872,0.012548744,0.0141364755,0.023194533,0.3226077,0.11064603,0.4998642],"study_design_scores_gemma":[0.00007984805,0.00012431601,0.014582184,0.0035833037,0.00014821815,0.0025610998,0.011890524,0.05798126,0.01797097,0.17994973,0.7108834,0.00024520385],"about_ca_topic_score_codex":0.0071555083,"about_ca_topic_score_gemma":0.0061034225,"teacher_disagreement_score":0.0071555083,"about_ca_system_score_codex":0.0018233731,"about_ca_system_score_gemma":0.0022443742,"threshold_uncertainty_score":0.017798305},"labels":[],"label_agreement":null},{"id":"W1567002736","doi":"10.1007/11915034_4","title":"A Unified Model for Information Integration","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Dimension (graph theory); Basis (linear algebra); Domain (mathematical analysis); Object (grammar); Theoretical computer science; Relational model; Space (punctuation); Relational database; Information integration; Algebra over a field; Algorithm; Data mining; Artificial intelligence; Mathematics; Pure mathematics","score_opus":0.023671685892037685,"score_gpt":0.24627911365108357,"score_spread":0.22260742775904588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567002736","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013515691,0.0010100884,0.977625,0.0013157388,0.00018676731,0.00016956516,0.00035095887,0.0015634898,0.016426899],"genre_scores_gemma":[0.063351005,0.0019065714,0.9163099,0.00075175555,0.00030006154,0.0007672661,0.0016407227,0.0006408792,0.014331896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99510634,0.0013030316,0.00069220783,0.0008229623,0.0017005817,0.00037489482],"domain_scores_gemma":[0.9973194,0.0006692017,0.00013656968,0.0010617475,0.0006523308,0.00016068915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004215776,0.0013923229,0.0021478992,0.0042818724,0.0027199115,0.012128525,0.005278148,0.004297006,0.012050248],"category_scores_gemma":[0.007808305,0.0017738163,0.0039132955,0.0067743952,0.004123704,0.023979416,0.0072284406,0.0047136825,0.0062601888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020901114,0.000033958164,0.0001388679,0.00011438561,0.000039810304,0.00011140591,0.00033355082,0.0042887186,0.0003932015,0.9589131,0.0055008344,0.030111274],"study_design_scores_gemma":[0.00002429384,0.000022172804,0.00006521923,0.00011321883,0.0000877342,0.00017825485,0.00012509052,0.0452889,0.000692412,0.88700795,0.06636165,0.000033061086],"about_ca_topic_score_codex":0.0069330153,"about_ca_topic_score_gemma":0.0059681796,"teacher_disagreement_score":0.012128525,"about_ca_system_score_codex":0.0028261235,"about_ca_system_score_gemma":0.0035145201,"threshold_uncertainty_score":0.04031205},"labels":[],"label_agreement":null},{"id":"W1568828078","doi":"10.1007/11915072_3","title":"Issues for Robust Consensus Building in P2P Networks","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Interoperability; Semantic interoperability; Semantic mapping; Focus (optics); Peer-to-peer; Semantic technology; World Wide Web; Semantic computing; Data science; Semantic Web; Knowledge management; Information retrieval","score_opus":0.027463023292753626,"score_gpt":0.2663569618980504,"score_spread":0.23889393860529679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568828078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006541691,0.00082029315,0.9812407,0.0032432072,0.00017568421,0.00009333838,0.00007910692,0.00022373188,0.0075823017],"genre_scores_gemma":[0.6670171,0.0021157928,0.31716245,0.00078571547,0.0010935651,0.0007262153,0.00051481056,0.0004759308,0.010108361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98904735,0.0043315417,0.000809455,0.0021678342,0.0028767602,0.00076709175],"domain_scores_gemma":[0.93677765,0.048892893,0.0020612958,0.0068297563,0.0044719377,0.00096651213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0151229855,0.0009645444,0.002319625,0.0011948268,0.0029930181,0.007302872,0.0059922924,0.0061649587,0.0077392464],"category_scores_gemma":[0.07930663,0.0015261554,0.001646208,0.0023262138,0.00538785,0.017916791,0.00578638,0.006182721,0.0015649452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014314734,0.00007335961,0.00034602382,0.00032854144,0.00009234525,0.00022124963,0.00045877052,0.1776446,0.0014596434,0.759098,0.006609453,0.053524803],"study_design_scores_gemma":[0.000025971234,0.000025406995,0.00009252309,0.00003955943,0.00002108432,0.00005803065,0.00014071203,0.24481417,0.0010456137,0.75055873,0.0031547756,0.000023350036],"about_ca_topic_score_codex":0.0020898967,"about_ca_topic_score_gemma":0.001221517,"teacher_disagreement_score":0.0151229855,"about_ca_system_score_codex":0.0030731924,"about_ca_system_score_gemma":0.0021193277,"threshold_uncertainty_score":0.07997894},"labels":[],"label_agreement":null},{"id":"W1568878473","doi":"10.1007/978-3-642-04636-0_15","title":"Can Educators Develop Ontologies Using Ontology Extraction Tools: An End-User Study","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; Simon Fraser University","funders":"","keywords":"Ontology; Computer science; Domain (mathematical analysis); Upper ontology; Process ontology; Ontology components; Ontology learning; Information retrieval; Ontology-based data integration; Data science; Ontology alignment; Semantic Web; World Wide Web; Software engineering; Knowledge management; Suggested Upper Merged Ontology","score_opus":0.057303713443894594,"score_gpt":0.31792628776065956,"score_spread":0.26062257431676494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568878473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95860416,0.00017469442,0.014553683,0.0013700151,0.00003784891,0.00044594,0.0005411164,0.0008956342,0.02337706],"genre_scores_gemma":[0.95665365,0.00036680317,0.028330425,0.0008950077,0.000012285424,0.000359933,0.0012319309,0.0004457726,0.011704208],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9947684,0.003241127,0.00030570323,0.00048020954,0.0007012668,0.00050324714],"domain_scores_gemma":[0.91297126,0.06731156,0.0016117848,0.0060706544,0.010307599,0.0017272363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013477948,0.0006875965,0.0007836643,0.0014364744,0.0014693317,0.0061509334,0.0015427293,0.0020861023,0.008515135],"category_scores_gemma":[0.08307388,0.0006307717,0.00054971647,0.0013335472,0.00086055906,0.01234244,0.0033711656,0.001796539,0.003872583],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003041732,0.014516696,0.13707042,0.0011591015,0.00014252306,0.0018815495,0.30378398,0.0015485125,0.0077133668,0.00835803,0.026532697,0.4942514],"study_design_scores_gemma":[0.0015068202,0.005198213,0.09824102,0.0014104235,0.0006213041,0.0025333352,0.5766178,0.029934468,0.036104415,0.023622798,0.22365348,0.0005560097],"about_ca_topic_score_codex":0.003827766,"about_ca_topic_score_gemma":0.0068309745,"teacher_disagreement_score":0.013477948,"about_ca_system_score_codex":0.0010923294,"about_ca_system_score_gemma":0.0014844248,"threshold_uncertainty_score":0.07127905},"labels":[],"label_agreement":null},{"id":"W1572188237","doi":"10.1007/3-540-32182-9","title":"Model Driven Architecture and Ontology Development","year":2006,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":310,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ontology; Computer science; Software engineering; Domain (mathematical analysis); Architecture; Development (topology); Software development; Software; Programming language; Epistemology; Mathematics; Philosophy; Geography","score_opus":0.019794779638023927,"score_gpt":0.2207879454397539,"score_spread":0.20099316580173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572188237","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018134592,0.021068152,0.84583956,0.013093585,0.0011053113,0.0003239201,0.00021164758,0.0012860988,0.115258284],"genre_scores_gemma":[0.091591425,0.027036875,0.80346704,0.00375605,0.00064661773,0.0013577234,0.0012296366,0.0006491426,0.07026551],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99464005,0.0023038655,0.00031701423,0.00063463644,0.0018363841,0.00026805126],"domain_scores_gemma":[0.99797124,0.00093903183,0.000118482036,0.000411036,0.00043039533,0.00012978067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005116452,0.0010554342,0.00092586677,0.0017534414,0.0013492922,0.007648429,0.0029091062,0.0038339694,0.00436486],"category_scores_gemma":[0.0062736617,0.0010707158,0.0012812798,0.003093053,0.0052522575,0.007020343,0.0048422446,0.004738854,0.002214505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058805826,0.00001841067,0.00008653899,0.0002176696,0.000029595369,0.00009665886,0.0004742463,0.0050570765,0.00025435927,0.9426575,0.009887726,0.041214436],"study_design_scores_gemma":[0.000012142944,0.000015058965,0.00007672104,0.00023850854,0.000013159512,0.00015367616,0.0001894819,0.014902918,0.00039702625,0.71044886,0.27353147,0.000020948915],"about_ca_topic_score_codex":0.0057034297,"about_ca_topic_score_gemma":0.0038677058,"teacher_disagreement_score":0.007648429,"about_ca_system_score_codex":0.0044329255,"about_ca_system_score_gemma":0.004759431,"threshold_uncertainty_score":0.032163322},"labels":[],"label_agreement":null},{"id":"W1573069972","doi":"10.1111/j.1467-9671.2012.01370.x","title":"Finding Science with Science: Evaluating a Domain and Scientific Ontology User Interface for the Discovery of Scientific Resources","year":2012,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Ontology; Computer science; Resource (disambiguation); Data science; Context (archaeology); Domain (mathematical analysis); Scientific discovery; Scientific literature; Web resource; World Wide Web; Interface (matter); Knowledge extraction; Semantics (computer science); Sociology of scientific knowledge; Semantic Web; Information retrieval; Data mining; Geography","score_opus":0.04915807331691335,"score_gpt":0.3368370898228878,"score_spread":0.28767901650597444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573069972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755604,0.00010426265,0.018620213,0.00020012882,0.000021393622,0.0013046791,0.00023489541,0.00080972444,0.0031441657],"genre_scores_gemma":[0.90506923,0.00014129667,0.08908627,0.00025420645,0.000016805954,0.0028214646,0.00053138693,0.00025357812,0.0018256736],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9854913,0.01024141,0.0012457056,0.0005575823,0.0020185532,0.00044545555],"domain_scores_gemma":[0.86709255,0.12093409,0.0016296356,0.00268677,0.006322114,0.0013347835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02319619,0.0010162591,0.0010234168,0.0017132685,0.001109845,0.0037908722,0.0014421387,0.0026318743,0.0042714356],"category_scores_gemma":[0.08425881,0.00052052917,0.0007152921,0.0011519201,0.0011592258,0.0032514017,0.00331378,0.00084279885,0.00075200154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.037074436,0.013238367,0.11255618,0.008305084,0.0006728042,0.0041316673,0.18771896,0.019340927,0.14455537,0.0068763928,0.011207392,0.45432246],"study_design_scores_gemma":[0.010035107,0.058175262,0.18229061,0.0031185464,0.0033686936,0.0060002385,0.10469252,0.35443845,0.1964442,0.008774169,0.070774846,0.0018874118],"about_ca_topic_score_codex":0.0041082865,"about_ca_topic_score_gemma":0.0029367623,"teacher_disagreement_score":0.02319619,"about_ca_system_score_codex":0.001166113,"about_ca_system_score_gemma":0.00088913576,"threshold_uncertainty_score":0.122674644},"labels":[],"label_agreement":null},{"id":"W1573488747","doi":"10.7202/1030017ar","title":"L’utilisation des langages documentaires pour la recherche d’information","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Philosophy","score_opus":0.2775806246464786,"score_gpt":0.4156241357034397,"score_spread":0.1380435110569611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1573488747","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042441647,0.012408411,0.86049306,0.0069639296,0.0017206017,0.0007630964,0.0014213178,0.008324044,0.0654639],"genre_scores_gemma":[0.25071856,0.007709728,0.6849267,0.0012683559,0.0005833686,0.0008255156,0.0028778806,0.0031950006,0.047894888],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9784248,0.009631628,0.0023850503,0.002133803,0.0068271286,0.0005976659],"domain_scores_gemma":[0.9127963,0.048422273,0.0041706306,0.018439483,0.015024198,0.0011470794],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0201168,0.0011440656,0.0011525973,0.0037829443,0.002402733,0.012284719,0.0019609998,0.0027487448,0.010764913],"category_scores_gemma":[0.053772137,0.0008723464,0.0013477729,0.0035755306,0.003694664,0.015186617,0.0046207397,0.0030308159,0.0065391446],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008807857,0.00023846325,0.004612541,0.0032954707,0.00018175149,0.00095564674,0.017035363,0.005521781,0.0602568,0.38368666,0.017049752,0.506285],"study_design_scores_gemma":[0.00014592645,0.00053974043,0.0031485846,0.0017407731,0.00030719527,0.0016206953,0.0054616374,0.020829516,0.10020407,0.0868808,0.7787838,0.00033725612],"about_ca_topic_score_codex":0.008175319,"about_ca_topic_score_gemma":0.006358158,"teacher_disagreement_score":0.9877153,"about_ca_system_score_codex":0.0026826283,"about_ca_system_score_gemma":0.0039002001,"threshold_uncertainty_score":0.106389105},"labels":[],"label_agreement":null},{"id":"W1580488490","doi":"10.19173/irrodl.v13i5.1250","title":"A semi-automatic approach to construct Vietnamese ontology from online text","year":2012,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Vietnamese; Construct (python library); Upper ontology; Information retrieval; Ontology learning; World Wide Web; Process ontology; Domain (mathematical analysis); Natural language processing; The Internet; Suggested Upper Merged Ontology; Artificial intelligence; Semantic Web","score_opus":0.10394814051400711,"score_gpt":0.42470113216964755,"score_spread":0.3207529916556404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580488490","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016804382,0.00019459729,0.9687835,0.00042723469,0.00007589346,0.00079150515,0.0033162434,0.005964029,0.0036426776],"genre_scores_gemma":[0.04444755,0.00018050897,0.9457206,0.00006139874,0.000024317867,0.00041934106,0.006536994,0.00026106025,0.0023481583],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814236,0.00035605623,0.00030660207,0.0005621003,0.000555709,0.00007719211],"domain_scores_gemma":[0.9959193,0.0018414853,0.0004076272,0.0004997498,0.0012267416,0.000105169354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017270944,0.00090985495,0.000685413,0.0071782717,0.0013033629,0.0021377942,0.0010419769,0.00056672393,0.0033181137],"category_scores_gemma":[0.006086533,0.0005049543,0.0012977262,0.0048279436,0.0007421867,0.0032725655,0.0017493714,0.0011767526,0.0024322523],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011534969,0.00034377843,0.006551829,0.0010852333,0.00016003696,0.0008458675,0.0034097517,0.004228882,0.04607047,0.02200734,0.019893691,0.89528775],"study_design_scores_gemma":[0.00011078918,0.00029882774,0.018309498,0.00049846835,0.00042876304,0.0029092752,0.006738237,0.5305944,0.095167324,0.07169948,0.2729372,0.0003077759],"about_ca_topic_score_codex":0.010281045,"about_ca_topic_score_gemma":0.015568074,"teacher_disagreement_score":0.010281045,"about_ca_system_score_codex":0.0010508362,"about_ca_system_score_gemma":0.0045263255,"threshold_uncertainty_score":0.020442426},"labels":[],"label_agreement":null},{"id":"W1580524133","doi":"10.1109/icde.2015.7113335","title":"Executing queries over schemaless RDF databases","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; SPARQL; RDF; RDF Schema; RDF query language; Database; Workload; Query optimization; Materialized view; Information retrieval; Data mining; Cluster analysis; Semantic Web; View; Web query classification; Web search query; Database design; Search engine; Artificial intelligence","score_opus":0.11503563346513315,"score_gpt":0.3182565078428614,"score_spread":0.20322087437772826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580524133","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2313277,0.00046644398,0.7537771,0.0010356514,0.000069464826,0.00040505303,0.0013384023,0.007061845,0.0045183096],"genre_scores_gemma":[0.79193634,0.00027520725,0.20291246,0.0003101845,0.00007250987,0.00021349471,0.0023253036,0.00071457063,0.0012399744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98670757,0.004487864,0.0014758868,0.0015953562,0.0051468555,0.00058648747],"domain_scores_gemma":[0.9857071,0.007980641,0.00095125014,0.003066089,0.0019650413,0.00032996098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007484197,0.00093240186,0.0009874052,0.0011764868,0.0010334934,0.0029315979,0.002421985,0.0012304133,0.0011415466],"category_scores_gemma":[0.025735501,0.00071692414,0.0009782424,0.0020638688,0.0013848552,0.0050967736,0.0025929222,0.0009177536,0.00036125307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019598533,0.0006417987,0.027416468,0.00082953996,0.00052835786,0.0014881934,0.0018288183,0.5979659,0.08525479,0.08661846,0.012064269,0.18340358],"study_design_scores_gemma":[0.000051165476,0.000092133174,0.00081337994,0.00002220909,0.000035093148,0.00018361001,0.0002757517,0.9509317,0.022289554,0.022935342,0.0023477126,0.000022394019],"about_ca_topic_score_codex":0.004636216,"about_ca_topic_score_gemma":0.005251331,"teacher_disagreement_score":0.007484197,"about_ca_system_score_codex":0.0013814573,"about_ca_system_score_gemma":0.0016780772,"threshold_uncertainty_score":0.039580703},"labels":[],"label_agreement":null},{"id":"W158290890","doi":"","title":"Logical generative models for probabilistic reasoning about existence, roles and identity","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Probabilistic logic; Object (grammar); Computer science; Identity (music); CLARITY; Theoretical computer science; Generative grammar; Artificial intelligence","score_opus":0.05109746543605714,"score_gpt":0.3111941559042742,"score_spread":0.26009669046821704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W158290890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031042735,0.0007905588,0.9793006,0.0037221294,0.00012762111,0.00007088047,0.00033922237,0.00028862568,0.01225594],"genre_scores_gemma":[0.43165207,0.003194136,0.53723186,0.0037907166,0.0014655156,0.0011759718,0.0018505873,0.00050534285,0.019133821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99264103,0.0034902873,0.00050934346,0.0010973788,0.0017882016,0.00047375102],"domain_scores_gemma":[0.9685154,0.025813807,0.0013301854,0.0023834324,0.0012502825,0.000706939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009728884,0.001738789,0.0019020449,0.004251243,0.0031164286,0.007333011,0.004719919,0.005209103,0.010088777],"category_scores_gemma":[0.030054087,0.0018722588,0.0052266,0.0038390171,0.008676039,0.019130308,0.0057514138,0.00863445,0.0018387737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007975639,0.000010297539,0.000113910406,0.000028040507,0.00001902055,0.0000702125,0.00016427862,0.004202474,0.00004460702,0.99235123,0.00066720264,0.0023206663],"study_design_scores_gemma":[0.000008177473,0.000003161006,0.00002819153,0.000012975866,0.00000979822,0.000055427383,0.000030713218,0.020564564,0.000036235702,0.9775892,0.0016525459,0.0000089553505],"about_ca_topic_score_codex":0.006455099,"about_ca_topic_score_gemma":0.007053014,"teacher_disagreement_score":0.010088777,"about_ca_system_score_codex":0.005449458,"about_ca_system_score_gemma":0.0021707388,"threshold_uncertainty_score":0.05145186},"labels":[],"label_agreement":null},{"id":"W1584177865","doi":"","title":"Standard-compliant Scenario Building with Theoretical Justification in a Theory-aware Authoring Tool","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Interoperability; Reusability; Computer science; Ontology; Open standard; Software engineering; World Wide Web; Programming language; Software; Epistemology","score_opus":0.01691821217026234,"score_gpt":0.2606202838435812,"score_spread":0.24370207167331887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584177865","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006447794,0.00003200538,0.97490406,0.00043613475,0.00005066743,0.00019102514,0.00028449149,0.007609358,0.01004443],"genre_scores_gemma":[0.15299107,0.000080470025,0.8402145,0.0001663699,0.000029362614,0.00029352005,0.00093233737,0.0017438185,0.0035485935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9921476,0.0035257686,0.00093057746,0.0009941823,0.002063282,0.0003385456],"domain_scores_gemma":[0.9794158,0.013581639,0.0005251974,0.004559584,0.0015035102,0.00041435723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008008451,0.0010974115,0.00078461884,0.002833882,0.0013613261,0.00658104,0.0030292142,0.0027959412,0.021799512],"category_scores_gemma":[0.025982272,0.0013732635,0.0021618076,0.0015742974,0.0028374202,0.007590822,0.0069060163,0.0032374645,0.0037421305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029004368,0.00040700418,0.0017089616,0.00059370074,0.00014102658,0.0015071986,0.0035287812,0.05006127,0.007327092,0.7639602,0.012035014,0.1584397],"study_design_scores_gemma":[0.00014046696,0.00006417249,0.00019393815,0.00027267964,0.0001031365,0.0005492235,0.0005551387,0.43414113,0.01972442,0.4730047,0.071171895,0.000079022466],"about_ca_topic_score_codex":0.0008569375,"about_ca_topic_score_gemma":0.0020309202,"teacher_disagreement_score":0.021799512,"about_ca_system_score_codex":0.001137098,"about_ca_system_score_gemma":0.0024492785,"threshold_uncertainty_score":0.07292658},"labels":[],"label_agreement":null},{"id":"W1584361918","doi":"","title":"Ontology–based Representation of Simulation Models","year":2012,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Computer science; Ontology; Ontology-based data integration; Ontology Inference Layer; Upper ontology; Process ontology; Information retrieval; Semantics (computer science); Domain (mathematical analysis); OWL-S; Knowledge representation and reasoning; Representation (politics); Semantic Web; Semantic Web Stack; Artificial intelligence; Programming language","score_opus":0.2100729878086409,"score_gpt":0.36059906901804123,"score_spread":0.15052608120940034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584361918","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008810165,0.00013108668,0.97702116,0.0004982163,0.00007111241,0.00018849623,0.0009263716,0.0016763837,0.010676921],"genre_scores_gemma":[0.20216727,0.00061378663,0.7880832,0.00015955798,0.00004017315,0.00056271936,0.0043785023,0.0003078953,0.0036868856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836177,0.0006391455,0.00026663707,0.00012679501,0.0005256026,0.00008015698],"domain_scores_gemma":[0.99783,0.00084584753,0.00022436572,0.0005804295,0.00044805775,0.00007135181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019760712,0.0005207103,0.0005254714,0.002708865,0.00090730673,0.003592568,0.0016138463,0.0010313597,0.0035155502],"category_scores_gemma":[0.004595412,0.00044521352,0.0016706381,0.002475404,0.0010362669,0.0036750084,0.002241221,0.0015842724,0.00078648544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000985771,0.00024606238,0.001722476,0.00030044495,0.00015484722,0.0006541638,0.0013302147,0.23912291,0.0059557958,0.6689625,0.0067215282,0.07473051],"study_design_scores_gemma":[0.000034179357,0.00002950823,0.00040701078,0.00018432342,0.00007753245,0.0002030743,0.00030269162,0.7667436,0.0054458887,0.1423153,0.0842151,0.000041848438],"about_ca_topic_score_codex":0.007735461,"about_ca_topic_score_gemma":0.008591271,"teacher_disagreement_score":0.007735461,"about_ca_system_score_codex":0.001849431,"about_ca_system_score_gemma":0.0021604307,"threshold_uncertainty_score":0.015380859},"labels":[],"label_agreement":null},{"id":"W1584520372","doi":"10.1007/978-3-642-02097-1_9","title":"Dyna: A Tool for Dynamic Knowledge Modeling","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ontology; Knowledge representation and reasoning; Domain knowledge; Task (project management); Software engineering; Component (thermodynamics); Artificial intelligence; Systems engineering","score_opus":0.023421474834691206,"score_gpt":0.2747454965368339,"score_spread":0.2513240217021427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584520372","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012563022,0.00023629748,0.9361407,0.00023601887,0.000103203056,0.000114355156,0.005489391,0.048981506,0.0074421167],"genre_scores_gemma":[0.044307522,0.00095834024,0.904086,0.00028834175,0.00004771527,0.00064105284,0.021404855,0.012233856,0.016032284],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990445,0.00015979563,0.00016361005,0.00024495446,0.0003175186,0.000069649344],"domain_scores_gemma":[0.99803156,0.0010578992,0.00009661109,0.00047310782,0.00024298127,0.00009781632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016827455,0.0013754979,0.0010524457,0.003090106,0.0015304565,0.0056588696,0.0029592982,0.0013772231,0.030700512],"category_scores_gemma":[0.005299396,0.00226961,0.002625054,0.0028310781,0.0009806033,0.0079194615,0.0041334443,0.002558543,0.010899576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035680758,0.00014648843,0.0019998425,0.0018083325,0.00029622533,0.0006556452,0.0012985293,0.04734073,0.00457494,0.37602773,0.1449036,0.42059118],"study_design_scores_gemma":[0.00008182996,0.000023351473,0.0002463021,0.00029016737,0.00015033518,0.0004168537,0.00019367757,0.24098721,0.008679216,0.19975466,0.5490903,0.00008605036],"about_ca_topic_score_codex":0.008056289,"about_ca_topic_score_gemma":0.011768517,"teacher_disagreement_score":0.030700512,"about_ca_system_score_codex":0.0016368219,"about_ca_system_score_gemma":0.0024636548,"threshold_uncertainty_score":0.10270339},"labels":[],"label_agreement":null},{"id":"W1584611275","doi":"10.22329/il.v35i1.4234","title":"Freeman's Syntactic Criterion for Linkage","year":2015,"lang":"en","type":"article","venue":"Informal Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Argument (complex analysis); Inference; Relevance (law); Philosophy; Mathematical economics; Mathematics; Epistemology; Medicine; Law","score_opus":0.07404754499049605,"score_gpt":0.29827239263755334,"score_spread":0.2242248476470573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584611275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015915595,0.0011926967,0.7274836,0.018949544,0.00075305015,0.00041996097,0.001251686,0.0011228475,0.23291108],"genre_scores_gemma":[0.60092324,0.001107949,0.34365824,0.0057883603,0.0015573157,0.0014550734,0.0014120416,0.0012358188,0.042862017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98555773,0.0047860183,0.0016884048,0.0023826917,0.004602822,0.0009823305],"domain_scores_gemma":[0.97429,0.01343549,0.00090981147,0.003506741,0.0072372425,0.0006207503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012425558,0.0010716757,0.0016678467,0.006365199,0.0068728398,0.0064071473,0.0027434833,0.00745958,0.017458247],"category_scores_gemma":[0.047966465,0.0013405303,0.0029293909,0.004490767,0.013569941,0.022267729,0.009997615,0.006738023,0.0050022798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010950577,0.000009289267,0.0002019323,0.000046076708,0.000008923914,0.000045047178,0.00028314377,0.00025382682,0.00015556675,0.9901619,0.0035061622,0.005317101],"study_design_scores_gemma":[0.000014560066,0.000008517892,0.00013030772,0.00003563196,0.000013310882,0.000114540184,0.00011609233,0.00129594,0.00032578222,0.97913706,0.018789077,0.000019260995],"about_ca_topic_score_codex":0.0021551894,"about_ca_topic_score_gemma":0.0020344018,"teacher_disagreement_score":0.017458247,"about_ca_system_score_codex":0.0044713295,"about_ca_system_score_gemma":0.00370131,"threshold_uncertainty_score":0.065713406},"labels":[],"label_agreement":null},{"id":"W1588797243","doi":"","title":"Commentaries on presentations from the 2014 Annual CANO/ACIO Conference","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Computer science","score_opus":0.41005104503799145,"score_gpt":0.556362974984704,"score_spread":0.14631192994671255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588797243","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006919707,0.001680169,0.00039755643,0.74189544,0.23269905,0.00021119155,0.0019687577,0.00026074014,0.020195117],"genre_scores_gemma":[0.015617709,0.00408394,0.00071499066,0.73578405,0.14521664,0.0012916162,0.0019265757,0.0010914331,0.094273075],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.968739,0.0071928864,0.0023468377,0.0023415484,0.016307162,0.0030725591],"domain_scores_gemma":[0.8325495,0.06363813,0.009734476,0.0040403735,0.08446009,0.0055773766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025523962,0.002455677,0.0015813878,0.0045917053,0.0091973655,0.009836792,0.0059594978,0.020209981,0.05474184],"category_scores_gemma":[0.20524773,0.0010241523,0.0020189688,0.00520545,0.0040669558,0.0056138816,0.0063477666,0.02719546,0.027894296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023841556,0.0000034190277,0.000036090456,0.00005580031,0.0000026660016,0.000044455355,0.00024299562,0.000013281637,0.000042353753,0.00036436762,0.99852836,0.0006423141],"study_design_scores_gemma":[0.00001903364,0.000010622587,0.0005793263,0.0004513696,0.000010666758,0.0000273237,0.001305272,0.0000720765,0.00018811184,0.00054445805,0.996743,0.000048743685],"about_ca_topic_score_codex":0.050878428,"about_ca_topic_score_gemma":0.045545477,"teacher_disagreement_score":0.05474184,"about_ca_system_score_codex":0.020408625,"about_ca_system_score_gemma":0.014867636,"threshold_uncertainty_score":0.18312973},"labels":[],"label_agreement":null},{"id":"W1588955337","doi":"10.1007/978-3-540-89447-6_22","title":"Ontology-Based Expertise Finding","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Software deployment; Process (computing); Knowledge management; Software engineering; Process management; Engineering","score_opus":0.03454142542400076,"score_gpt":0.2621708452833169,"score_spread":0.22762941985931615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588955337","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014932354,0.000977081,0.9672006,0.00029821234,0.00009503663,0.00013718556,0.00047775186,0.001612422,0.014269296],"genre_scores_gemma":[0.21560171,0.00084468874,0.77056956,0.000116781266,0.00006919431,0.00010767655,0.0022396105,0.00026032428,0.010190489],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99790096,0.0003969608,0.00017929953,0.0005250179,0.0008490885,0.00014868422],"domain_scores_gemma":[0.99745756,0.0012290712,0.00010884549,0.0005207928,0.0005906345,0.000093228424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018031253,0.0006788766,0.001274305,0.005043325,0.0011074118,0.0028286318,0.0028104847,0.0014239671,0.009085128],"category_scores_gemma":[0.008720052,0.00054573704,0.0014586346,0.004316038,0.000841058,0.005406736,0.003481604,0.0013556909,0.0030466802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017232558,0.00025047318,0.0017274213,0.0003029896,0.00015685322,0.00022311311,0.00046743656,0.02282701,0.009470725,0.051856827,0.014578524,0.8979664],"study_design_scores_gemma":[0.00005117531,0.000071831746,0.0023922792,0.00015107634,0.00020138815,0.0007186433,0.00058436906,0.7508746,0.016574595,0.19352528,0.034784637,0.00007011546],"about_ca_topic_score_codex":0.006397486,"about_ca_topic_score_gemma":0.0079083275,"teacher_disagreement_score":0.009085128,"about_ca_system_score_codex":0.0010527009,"about_ca_system_score_gemma":0.0013898575,"threshold_uncertainty_score":0.030392766},"labels":[],"label_agreement":null},{"id":"W1589560471","doi":"","title":"Conjunctive query answering in the description logic EL using a relational database system","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conjunctive query; Computer science; Relational database; Relational database management system; IBM; Relational model; Information retrieval; Description logic; Question answering; View; SQL; Database; Query language; Database design; Theoretical computer science","score_opus":0.08593366300913695,"score_gpt":0.28741712930284175,"score_spread":0.20148346629370478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589560471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029774373,0.0007148199,0.9584493,0.0011602219,0.000044947144,0.00016713433,0.00051839167,0.0028453877,0.006325493],"genre_scores_gemma":[0.40862095,0.00101724,0.58445644,0.00067038194,0.00013283889,0.00020348147,0.0014252866,0.00024314951,0.0032301717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929757,0.0031917244,0.0006239187,0.000973149,0.0018571343,0.0003783993],"domain_scores_gemma":[0.99212813,0.005627315,0.00029980534,0.0010805727,0.00071577134,0.00014842078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004973344,0.00056805264,0.00079762784,0.0011102987,0.0008462347,0.0050624907,0.002040469,0.0012034327,0.0027472954],"category_scores_gemma":[0.013207451,0.00057405606,0.00094933645,0.0021836834,0.0015699854,0.009070359,0.0029242088,0.001593105,0.0008608281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010031579,0.00061815436,0.0047984305,0.0011087925,0.0002625588,0.00214488,0.002091283,0.14636876,0.031089872,0.5162582,0.018216483,0.2760395],"study_design_scores_gemma":[0.00014751742,0.00010398307,0.00044603154,0.000043849144,0.00011610954,0.0004791979,0.00041846873,0.8194015,0.022929452,0.13749039,0.018372668,0.000050768052],"about_ca_topic_score_codex":0.007607565,"about_ca_topic_score_gemma":0.007172415,"teacher_disagreement_score":0.007607565,"about_ca_system_score_codex":0.0017125738,"about_ca_system_score_gemma":0.0014024489,"threshold_uncertainty_score":0.02630186},"labels":[],"label_agreement":null},{"id":"W1589942743","doi":"10.1007/b102467","title":"The SemanticWeb – ISWC 2004: Third International SemanticWeb Conference Hiroshima, Japan, November 7-11, 2004 Proceedings","year":2004,"lang":"en","type":"article","venue":"VU Research Portal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Social Semantic Web; Semantic Web Stack; World Wide Web; OWL-S; Semantic analytics; Semantic Web; Semantic Web Rule Language; Data Web; Information retrieval; Semantic grid; Web standards; Web service","score_opus":0.06068194803944819,"score_gpt":0.3433344280454715,"score_spread":0.2826524800060233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589942743","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16163918,0.049989518,0.36979955,0.07325161,0.03248315,0.0017659848,0.019405872,0.024073998,0.26759112],"genre_scores_gemma":[0.1811134,0.027620558,0.17364097,0.0047372705,0.0028305494,0.00077081006,0.077045605,0.0071690804,0.52507174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904567,0.00024825,0.00008346836,0.00016705657,0.00033020813,0.00012522547],"domain_scores_gemma":[0.996307,0.00040277993,0.00015796076,0.0005937306,0.001724975,0.0008135587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041754874,0.0009008255,0.0013624914,0.0022230495,0.0026913302,0.0062805265,0.0018784952,0.0019105569,0.025066063],"category_scores_gemma":[0.0034653246,0.00084051484,0.00085498486,0.00470156,0.0019353485,0.0076056933,0.002156602,0.0023268855,0.011585327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005949546,0.0005194296,0.0036180895,0.00054753834,0.0001545378,0.00041551678,0.0011914041,0.0016405493,0.010282365,0.027142027,0.7528636,0.20102996],"study_design_scores_gemma":[0.00009155239,0.0000990501,0.0072623966,0.00032571694,0.00022741179,0.00036483683,0.0013702228,0.008628011,0.011341799,0.016239297,0.95398116,0.00006861988],"about_ca_topic_score_codex":0.052147303,"about_ca_topic_score_gemma":0.05230575,"teacher_disagreement_score":0.052147303,"about_ca_system_score_codex":0.0036487246,"about_ca_system_score_gemma":0.009954837,"threshold_uncertainty_score":0.103687525},"labels":[],"label_agreement":null},{"id":"W1591093734","doi":"","title":"Sources of Information in Intelligent Transportation Systems: A Bibliography","year":2001,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Terminology; Intelligent transportation system; Bibliography; Library science; Information system; Term (time); Advanced Traffic Management System; Intelligent decision support system; Operations research; Transport engineering; Computer science; Engineering; Artificial intelligence","score_opus":0.014301203784269493,"score_gpt":0.210401907227326,"score_spread":0.1961007034430565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1591093734","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012569586,0.6876041,0.05433773,0.012211534,0.0037987335,0.0002623337,0.0068422705,0.0012926728,0.23239368],"genre_scores_gemma":[0.015164051,0.8639567,0.06480062,0.002622867,0.0026131573,0.00043834056,0.014088278,0.0010307293,0.035285257],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99690163,0.0006247086,0.0006693592,0.0002967395,0.0014096302,0.0000979161],"domain_scores_gemma":[0.99438006,0.003130579,0.00029102594,0.0005095987,0.0015231171,0.00016563937],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0030742632,0.0012326039,0.001388003,0.027031954,0.0019190648,0.010670249,0.0018024851,0.0024422887,0.021898767],"category_scores_gemma":[0.009444057,0.0009826453,0.000855579,0.062071383,0.001525238,0.014988889,0.0033189827,0.002361927,0.0108317295],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021753975,0.000059436483,0.00053586863,0.008214102,0.000063698084,0.00029983878,0.001871194,0.0015584022,0.00040888626,0.10824374,0.29793832,0.5807848],"study_design_scores_gemma":[0.0000042194774,0.0000054448515,0.0003491782,0.00694875,0.00003186437,0.00017104708,0.00035768107,0.00030996208,0.00015718363,0.026473224,0.9651729,0.000018458064],"about_ca_topic_score_codex":0.003579083,"about_ca_topic_score_gemma":0.0038934408,"teacher_disagreement_score":0.97296804,"about_ca_system_score_codex":0.0033280696,"about_ca_system_score_gemma":0.0049853553,"threshold_uncertainty_score":0.0732587},"labels":[],"label_agreement":null},{"id":"W1593702","doi":"10.1016/s0022-5347(17)37648-6","title":"Uncertainty treatment in the rule interchange format: from encoding to extension","year":2008,"lang":"en","type":"article","venue":"Uncertainty Reasoning for the Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Rotation formalisms in three dimensions; Knowledge representation and reasoning; Computer science; Fuzzy logic; Description logic; Formalism (music); Programming language; Theoretical computer science; Stable model semantics; Semantic Web; Extension (predicate logic); Artificial intelligence; Mathematics; Multimodal logic","score_opus":0.049711119437427356,"score_gpt":0.2798435324252476,"score_spread":0.23013241298782028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0453168,0.0011349595,0.913479,0.0039365795,0.0007351087,0.00041744902,0.0034773205,0.009386538,0.022116221],"genre_scores_gemma":[0.3707236,0.0011161013,0.6160101,0.00094769313,0.0003364271,0.0002942403,0.004230988,0.00082241656,0.0055183433],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975635,0.000948293,0.00040804368,0.0002557132,0.0006355291,0.0001890569],"domain_scores_gemma":[0.99084246,0.0053389217,0.0006820726,0.00187585,0.0010706956,0.0001898994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035727287,0.000656599,0.00060443854,0.0019876417,0.000710121,0.0035711776,0.0017010722,0.0015845335,0.0036616484],"category_scores_gemma":[0.017912704,0.00035683336,0.0011068818,0.0019626345,0.0011938609,0.005579187,0.0023616585,0.0016170972,0.0013459405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012650548,0.0003843634,0.0080050025,0.0006592932,0.00012789827,0.007807484,0.0027819478,0.033354957,0.0075544883,0.22437352,0.030299809,0.68338615],"study_design_scores_gemma":[0.00020094398,0.00030004166,0.002073095,0.00087666546,0.0003106647,0.0048521766,0.0016102578,0.3039828,0.040838815,0.46465144,0.18009469,0.00020838076],"about_ca_topic_score_codex":0.0024000714,"about_ca_topic_score_gemma":0.0019602038,"teacher_disagreement_score":0.0036616484,"about_ca_system_score_codex":0.00077280984,"about_ca_system_score_gemma":0.0013907526,"threshold_uncertainty_score":0.018894613},"labels":[],"label_agreement":null},{"id":"W1593858405","doi":"10.1007/11914853_54","title":"Reducing the Cost of Validating Mapping Compositions by Exploiting Semantic Relationships","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Composition (language); Semantic mapping; Metadata; Semantic integration; Schema (genetic algorithms); Morphism; Binary number; Data warehouse; Semantics (computer science); Data mapping; Theoretical computer science; Data mining; Information retrieval; Programming language; Semantic Web; Semantic computing; Mathematics","score_opus":0.044615983162791,"score_gpt":0.25431132525704,"score_spread":0.20969534209424898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593858405","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09955831,0.00053506484,0.87197757,0.001588906,0.00026975258,0.0004984804,0.0009045344,0.016144985,0.008522409],"genre_scores_gemma":[0.3608366,0.00040827648,0.62692857,0.000533904,0.000090024754,0.00018363543,0.0023613968,0.0038663025,0.004791317],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9667935,0.011613741,0.0016415067,0.0031462437,0.014996195,0.0018087596],"domain_scores_gemma":[0.85904706,0.089017116,0.0053503383,0.032128938,0.013470133,0.0009864254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0116819,0.0021445458,0.0021869526,0.003630185,0.0026552787,0.005462299,0.006025743,0.003915614,0.009883625],"category_scores_gemma":[0.09375358,0.0023192402,0.0035827446,0.0042126486,0.0030292517,0.014751702,0.0076120016,0.0030683444,0.0029717106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018671453,0.0007431436,0.017361348,0.0013960754,0.0006747419,0.0022437582,0.0017355775,0.14545587,0.049204115,0.085073836,0.017895222,0.67634916],"study_design_scores_gemma":[0.00020308765,0.0002678107,0.00316127,0.0003465811,0.0006789444,0.0016713161,0.001538768,0.732214,0.09188974,0.1493987,0.018443037,0.0001868565],"about_ca_topic_score_codex":0.010576884,"about_ca_topic_score_gemma":0.02108391,"teacher_disagreement_score":0.0116819,"about_ca_system_score_codex":0.0025063118,"about_ca_system_score_gemma":0.0071712676,"threshold_uncertainty_score":0.061780512},"labels":[],"label_agreement":null},{"id":"W1594494575","doi":"10.1007/3-540-39963-1_47","title":"Automatic Semantic Header Generator","year":2000,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Search engine indexing; Computer science; Header; Information retrieval; Automatic indexing; Resource (disambiguation); Information extraction; The Internet; Context (archaeology); Generator (circuit theory); Data mining; World Wide Web","score_opus":0.02005951519168582,"score_gpt":0.2453746573692003,"score_spread":0.22531514217751447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594494575","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013085961,0.00037000817,0.7585823,0.0004309953,0.00066514005,0.00043868818,0.0058702435,0.20726578,0.01329083],"genre_scores_gemma":[0.121117525,0.0005162199,0.78389776,0.00066985725,0.00025188955,0.0005431024,0.036806766,0.028656863,0.027540006],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992654,0.000110461835,0.0000679257,0.00020768837,0.00026868514,0.000079840414],"domain_scores_gemma":[0.99810284,0.0007135973,0.000085070955,0.00055873516,0.00046052874,0.00007924504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011152145,0.0017655063,0.0011376684,0.0036823766,0.00089059613,0.0021401697,0.0017097644,0.0013210978,0.041025594],"category_scores_gemma":[0.004048554,0.0010642583,0.0013748116,0.0021716808,0.0006129807,0.0037542006,0.002820245,0.0016473798,0.018386997],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092100987,0.00032589,0.0015580026,0.00074140966,0.00009473815,0.001050967,0.00027839703,0.004946862,0.052248776,0.04468542,0.19291545,0.700233],"study_design_scores_gemma":[0.00033476847,0.00018673389,0.0013931019,0.0002871589,0.00028921495,0.0015281192,0.00031090973,0.2634449,0.36573055,0.097361974,0.26896784,0.00016483341],"about_ca_topic_score_codex":0.0008739978,"about_ca_topic_score_gemma":0.00089681544,"teacher_disagreement_score":0.041025594,"about_ca_system_score_codex":0.0008664907,"about_ca_system_score_gemma":0.0013343615,"threshold_uncertainty_score":0.13724434},"labels":[],"label_agreement":null},{"id":"W1595402553","doi":"","title":"Proceedings of IEEE professional communication society international professional communication conference and Proceedings of the 18th annual ACM international conference on Computer documentation: technology & teamwork","year":2000,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Teamwork; Documentation; General partnership; Public relations; Professional communication; Usability; Plan (archaeology); Engineering ethics; Host (biology); Sociology; Engineering; Political science; Knowledge management; Engineering management; Library science; Computer science; World Wide Web","score_opus":0.021797045171886156,"score_gpt":0.3019381412899667,"score_spread":0.2801410961180806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595402553","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020414477,0.053506006,0.087123156,0.088543564,0.059243757,0.00082154776,0.0012373022,0.0030006606,0.68610954],"genre_scores_gemma":[0.06853544,0.030149689,0.027234694,0.0052978164,0.009526716,0.00074370636,0.002668257,0.0008589291,0.85498476],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963211,0.0013878152,0.00029752334,0.000364283,0.0012523097,0.00037697342],"domain_scores_gemma":[0.98724943,0.0030811375,0.00043731593,0.0011179657,0.005715537,0.00239854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065738712,0.0007475669,0.0005915643,0.0019565998,0.0025470185,0.0062223803,0.0009086274,0.0023789497,0.147119],"category_scores_gemma":[0.013337109,0.00037635202,0.00041360324,0.0015045073,0.0014904006,0.004297816,0.0030969046,0.0024027606,0.055226125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001072714,0.0001856583,0.0014431842,0.00027489162,0.000017146458,0.00013005489,0.001387188,0.0001136942,0.0011651015,0.006837323,0.6653016,0.32303685],"study_design_scores_gemma":[0.000013656389,0.00004963412,0.0015457416,0.00038982206,0.000012447905,0.00020077986,0.0008004578,0.00040778032,0.00035130756,0.0027848713,0.99342656,0.000016954047],"about_ca_topic_score_codex":0.0044624894,"about_ca_topic_score_gemma":0.006335898,"teacher_disagreement_score":0.147119,"about_ca_system_score_codex":0.0015592211,"about_ca_system_score_gemma":0.004691309,"threshold_uncertainty_score":0.4921621},"labels":[],"label_agreement":null},{"id":"W1596200616","doi":"10.1007/978-3-540-31839-2_2","title":"Data Semantics Revisited","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Sketch; Semantics (computer science); Semantic Web; Subject (documents); Contrast (vision); Information retrieval; Open research; Data science; Artificial intelligence; World Wide Web; Programming language; Algorithm","score_opus":0.044875381329592706,"score_gpt":0.2834047300473074,"score_spread":0.23852934871771467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596200616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009920898,0.03523674,0.5723546,0.1076601,0.0060350844,0.00009855843,0.001279967,0.00071527873,0.26669875],"genre_scores_gemma":[0.5529215,0.03780821,0.22558314,0.028256854,0.008361277,0.00063523557,0.00248224,0.0017311055,0.14222053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960199,0.0015187343,0.00034585947,0.00070669746,0.001251142,0.00015770002],"domain_scores_gemma":[0.99503434,0.002350639,0.00013030398,0.0012025427,0.0011262409,0.00015592013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053572888,0.00082706386,0.0014601988,0.005175238,0.002922709,0.009222458,0.0023296026,0.0025803705,0.009713828],"category_scores_gemma":[0.012548637,0.00080811937,0.0013102662,0.00633277,0.013062993,0.031252068,0.005909268,0.006111478,0.0025715858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019726006,0.0000020839743,0.000023497292,0.000023416602,0.0000028373584,0.000011448444,0.00014976875,0.0000611008,0.000027032196,0.9902407,0.003346353,0.0061098356],"study_design_scores_gemma":[0.000002878014,0.0000021648198,0.000027969854,0.000051738367,0.0000065484464,0.00005953141,0.00015821781,0.00049996487,0.000107326116,0.92577845,0.07330109,0.0000042335023],"about_ca_topic_score_codex":0.004373657,"about_ca_topic_score_gemma":0.002378599,"teacher_disagreement_score":0.009713828,"about_ca_system_score_codex":0.0035905477,"about_ca_system_score_gemma":0.002315764,"threshold_uncertainty_score":0.032495975},"labels":[],"label_agreement":null},{"id":"W1596849507","doi":"10.1007/3-540-45408-x_3","title":"Ontology Design and Its Application in the Petroleum Remediation Domain","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ontology; Computer science; Domain (mathematical analysis); Focus (optics); Process ontology; Knowledge representation and reasoning; Representation (politics); Software engineering; Ontology-based data integration; Task (project management); Process (computing); Upper ontology; Domain knowledge; Information retrieval; Systems engineering; Artificial intelligence; Programming language","score_opus":0.022334961610171466,"score_gpt":0.24795132337434195,"score_spread":0.2256163617641705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596849507","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008993221,0.00092030707,0.97197187,0.001874125,0.00013052816,0.00015055428,0.00017866115,0.00074998033,0.015030773],"genre_scores_gemma":[0.07970942,0.0019014695,0.9082408,0.00028615101,0.00007723812,0.00019322083,0.00044591626,0.00029060149,0.0088551575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99884546,0.00040191974,0.00015701159,0.00014457923,0.00039144285,0.00005955851],"domain_scores_gemma":[0.9987079,0.0007317095,0.00008247762,0.00017186781,0.00023011726,0.00007591712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289094,0.00041875336,0.0005234964,0.0017004651,0.00166483,0.0038211187,0.0012014621,0.0016042069,0.0039277305],"category_scores_gemma":[0.0046049273,0.00065273815,0.0012354336,0.0027907197,0.0016651588,0.0050478517,0.0027253635,0.0019588042,0.0009331209],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000653122,0.0001983963,0.0010644357,0.00044290136,0.000056573794,0.0006046503,0.0024352563,0.013055368,0.005831692,0.6307076,0.01051504,0.33502275],"study_design_scores_gemma":[0.000039914583,0.000056470104,0.0009036346,0.0002532816,0.00012172443,0.0012550504,0.0015166798,0.17794369,0.01004715,0.51698416,0.29079562,0.00008258695],"about_ca_topic_score_codex":0.007707089,"about_ca_topic_score_gemma":0.010287423,"teacher_disagreement_score":0.007707089,"about_ca_system_score_codex":0.0012311871,"about_ca_system_score_gemma":0.0017451041,"threshold_uncertainty_score":0.015324473},"labels":[],"label_agreement":null},{"id":"W1597201390","doi":"10.1007/978-3-540-39718-2_10","title":"Interoperability on XML Data","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Semantic interoperability; Interoperability; RDF; XML; Semantics (computer science); Information retrieval; XQuery; Vocabulary; World Wide Web; Semantic Web; Linked data; XML Schema Editor; Programming language","score_opus":0.05365193814757863,"score_gpt":0.2827741698466934,"score_spread":0.22912223169911478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597201390","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0129439095,0.0017278646,0.91540307,0.0023651978,0.00030521987,0.00013781144,0.0006962029,0.0038228517,0.06259794],"genre_scores_gemma":[0.26621908,0.0066155195,0.63580257,0.0012823924,0.00041661784,0.0006731252,0.011799367,0.003389123,0.07380219],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99622834,0.0010865068,0.0005303515,0.00043902878,0.0015306062,0.00018517273],"domain_scores_gemma":[0.99588555,0.00163193,0.00013713236,0.0019182689,0.00037006254,0.000057120636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045056907,0.000647368,0.00070962537,0.002929044,0.0010060291,0.005517214,0.0017418674,0.0017356673,0.006654763],"category_scores_gemma":[0.0076659974,0.0008635778,0.0013320176,0.005205376,0.0017725932,0.01472622,0.0041659772,0.0025984948,0.0028468352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049226866,0.000075928714,0.0005388167,0.00023245908,0.000050894178,0.00030122205,0.0007948728,0.0055144494,0.004074792,0.7553353,0.011794349,0.22123776],"study_design_scores_gemma":[0.000025620007,0.000035443012,0.0006517579,0.00037223496,0.00009100144,0.00054256857,0.00041027876,0.04546501,0.023825282,0.7003431,0.22818653,0.00005109268],"about_ca_topic_score_codex":0.0014344116,"about_ca_topic_score_gemma":0.0008419939,"teacher_disagreement_score":0.006654763,"about_ca_system_score_codex":0.00090206624,"about_ca_system_score_gemma":0.0008693505,"threshold_uncertainty_score":0.023828685},"labels":[],"label_agreement":null},{"id":"W1599455934","doi":"10.1007/3-540-45816-6_26","title":"Extracting Conceptual Relationships from Specialized Documents","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Conceptual model; Representation (politics); Data science; Simple (philosophy); Information extraction; Management science; Information retrieval; Data mining; Knowledge management; Database","score_opus":0.05834076580857787,"score_gpt":0.2705808808188997,"score_spread":0.21224011501032183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1599455934","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113958046,0.0037305853,0.833704,0.0008628086,0.00030260248,0.000799899,0.014247608,0.013034447,0.019360043],"genre_scores_gemma":[0.1457706,0.0029350976,0.7898953,0.00017407093,0.00012837829,0.0002698709,0.05220785,0.001101558,0.0075174123],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993081,0.000094333715,0.000116305,0.00018806878,0.00023779609,0.000055413377],"domain_scores_gemma":[0.9976787,0.0011155931,0.00017062612,0.00045775212,0.0004931593,0.00008410538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006888532,0.0012055477,0.0011790813,0.0075274874,0.0011810552,0.0025461572,0.001421359,0.0012355673,0.0070581883],"category_scores_gemma":[0.0052443836,0.0008830026,0.0016278202,0.009421677,0.00053557096,0.0050926907,0.001758679,0.0013981741,0.0048763803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020957476,0.0002526908,0.003617739,0.0015898406,0.00016084677,0.0019370589,0.0013721571,0.0033024517,0.03480691,0.030876417,0.02914561,0.89272875],"study_design_scores_gemma":[0.00025115247,0.00047478202,0.018142808,0.0015201917,0.0019909884,0.0090088835,0.004883308,0.19148573,0.1321231,0.1688775,0.47100624,0.00023537061],"about_ca_topic_score_codex":0.0032963913,"about_ca_topic_score_gemma":0.0052777105,"teacher_disagreement_score":0.0075274874,"about_ca_system_score_codex":0.0007574023,"about_ca_system_score_gemma":0.0017597979,"threshold_uncertainty_score":0.023611963},"labels":[],"label_agreement":null},{"id":"W1601845256","doi":"10.3233/978-1-60750-535-8-147","title":"On Building an Index Advisor for Semantic Web Queries","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Index (typography); Computer science; Information retrieval; World Wide Web; Semantic Web","score_opus":0.03789830351253307,"score_gpt":0.2927903802435642,"score_spread":0.2548920767310311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1601845256","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004676857,0.0004668528,0.96165675,0.0004317444,0.00007505133,0.0001723326,0.0005639301,0.024716245,0.0072402423],"genre_scores_gemma":[0.029008985,0.00058023527,0.95853263,0.0002548057,0.00008270571,0.00015995825,0.0019202239,0.0018846045,0.007575782],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830294,0.00026316725,0.00016082215,0.00028678507,0.00089355395,0.000092760194],"domain_scores_gemma":[0.99832565,0.00072224275,0.00008571537,0.0005019685,0.00029988337,0.00006458244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023742206,0.0011049454,0.0011343857,0.0017730074,0.0010385994,0.0029796201,0.0025793496,0.0011840871,0.007907576],"category_scores_gemma":[0.006543864,0.00073722546,0.0007643685,0.0035347405,0.0008871678,0.006486745,0.0018181378,0.002163317,0.005275573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023791584,0.0001618421,0.0012412835,0.0003567125,0.000040921106,0.00013482856,0.00035963932,0.01739912,0.010278063,0.07970437,0.046518624,0.8435667],"study_design_scores_gemma":[0.000075697724,0.000113928945,0.0007173183,0.00012511072,0.00007103836,0.00044772474,0.00019890358,0.665016,0.037401136,0.101815306,0.1939359,0.000081942475],"about_ca_topic_score_codex":0.0036889045,"about_ca_topic_score_gemma":0.005420212,"teacher_disagreement_score":0.007907576,"about_ca_system_score_codex":0.0009359278,"about_ca_system_score_gemma":0.0015295846,"threshold_uncertainty_score":0.026453435},"labels":[],"label_agreement":null},{"id":"W1602136775","doi":"10.1145/3357384","title":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","year":2019,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1292,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Knowledge management; Information retrieval; Data science; Library science","score_opus":0.03086995135401434,"score_gpt":0.2778860862749122,"score_spread":0.24701613492089786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602136775","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038876973,0.19258276,0.18861806,0.05344242,0.04278981,0.0013716787,0.0068194177,0.008550033,0.4669489],"genre_scores_gemma":[0.14661978,0.11197161,0.124003336,0.0088218115,0.007135483,0.0012015708,0.033923853,0.0016188266,0.5647037],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997592,0.0007416057,0.00027189447,0.0003534952,0.00076878135,0.00027229384],"domain_scores_gemma":[0.9954372,0.0014247043,0.00017271424,0.0010125067,0.0011843388,0.0007686975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004647692,0.0012117479,0.0019577239,0.0021436042,0.001392451,0.008654862,0.002115627,0.002174663,0.07575088],"category_scores_gemma":[0.0063917176,0.0004886947,0.0010032925,0.002338074,0.0015789737,0.0077619683,0.003539423,0.002952474,0.029762201],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029586453,0.00055560854,0.0027014834,0.00069616386,0.00015124834,0.00033434862,0.0006269891,0.0005581045,0.0036331916,0.014477613,0.45120078,0.5247687],"study_design_scores_gemma":[0.00002808723,0.00009114985,0.0030215313,0.0006319672,0.000089835,0.00032325386,0.0008300076,0.005287878,0.0011634403,0.011840214,0.976653,0.000039704497],"about_ca_topic_score_codex":0.006086242,"about_ca_topic_score_gemma":0.007215056,"teacher_disagreement_score":0.07575088,"about_ca_system_score_codex":0.0015893785,"about_ca_system_score_gemma":0.0032954328,"threshold_uncertainty_score":0.25341195},"labels":[],"label_agreement":null},{"id":"W160292340","doi":"10.1007/978-3-642-22438-6_22","title":"Automated Reasoning in $\\mathcal{ALCQ}$ via SMT","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Satisfiability; Benchmark (surveying); Modulo; Ontology; Satisfiability modulo theories; Automated reasoning; Set (abstract data type); Description logic; Exploit; Theoretical computer science; Boolean satisfiability problem; Programming language; Algorithm; Discrete mathematics; Mathematics","score_opus":0.02240339351393327,"score_gpt":0.2508628583995092,"score_spread":0.22845946488557595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W160292340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011732219,0.00022516827,0.9439141,0.0014973308,0.00023635336,0.00015129095,0.002001579,0.01016794,0.030074103],"genre_scores_gemma":[0.2188393,0.00027738497,0.7534454,0.0007414346,0.00024705625,0.00023378505,0.0056013702,0.0022023204,0.018411914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961772,0.0012319722,0.00028146163,0.0006033588,0.0013807439,0.00032522887],"domain_scores_gemma":[0.9950505,0.0028928882,0.00016479431,0.0009418656,0.0008435163,0.00010643208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021644805,0.0011293956,0.0011443922,0.0016044435,0.0015826675,0.0053957645,0.0032723695,0.0013283297,0.03904773],"category_scores_gemma":[0.011042638,0.00082498975,0.0042581256,0.001808671,0.0019444375,0.008207116,0.0059199156,0.003000351,0.009281503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030409428,0.00018252234,0.00060142577,0.00067882054,0.00014903818,0.0003302123,0.0004345255,0.036984578,0.00446777,0.6872047,0.043092832,0.22556953],"study_design_scores_gemma":[0.000061975916,0.000019298408,0.0001728077,0.00007934888,0.000062714,0.00010544932,0.00013323664,0.21811874,0.005576402,0.7448497,0.030790538,0.000029769171],"about_ca_topic_score_codex":0.009409148,"about_ca_topic_score_gemma":0.01735107,"teacher_disagreement_score":0.03904773,"about_ca_system_score_codex":0.0023835702,"about_ca_system_score_gemma":0.0022492134,"threshold_uncertainty_score":0.13062763},"labels":[],"label_agreement":null},{"id":"W1603401893","doi":"10.1007/978-3-540-24840-8_63","title":"A Multi-agent System for Semantic Information Retrieval","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Ontology; World Wide Web; Information retrieval; Semantic Web; Semantics (computer science); Knowledge base; Semantic Web Stack; Dissemination; OWL-S; Social Semantic Web; Interface (matter); Programming language","score_opus":0.023507794615168078,"score_gpt":0.25019533023600776,"score_spread":0.22668753562083968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603401893","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008895542,0.0006922858,0.96627176,0.0006176902,0.00026194242,0.0003330248,0.00029403382,0.013253446,0.009380236],"genre_scores_gemma":[0.10666689,0.0005460797,0.8763455,0.00036062597,0.00016444142,0.00045420017,0.000896476,0.0005848772,0.013980927],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991517,0.00027775523,0.00010301977,0.00013533197,0.00027736084,0.000054724766],"domain_scores_gemma":[0.9992424,0.00030362277,0.00003705792,0.00015619802,0.00018241121,0.000078352925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016240668,0.0005617145,0.0011863456,0.0013940486,0.0018258892,0.0032006374,0.0022873408,0.0022778702,0.008380112],"category_scores_gemma":[0.0029046491,0.00062415906,0.0007210287,0.0014377048,0.0006950029,0.003875378,0.0023853453,0.0013338646,0.004448754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012810214,0.00084330793,0.0013715196,0.0007779549,0.0003839161,0.0014176688,0.0010501074,0.049550988,0.053402957,0.11168538,0.06911203,0.7091232],"study_design_scores_gemma":[0.00027056684,0.00018792992,0.00053033937,0.000077975026,0.00030020936,0.00064935704,0.00018459935,0.774815,0.026762502,0.07717184,0.11893462,0.00011494251],"about_ca_topic_score_codex":0.0031178927,"about_ca_topic_score_gemma":0.0043162717,"teacher_disagreement_score":0.008380112,"about_ca_system_score_codex":0.00068337866,"about_ca_system_score_gemma":0.0011853798,"threshold_uncertainty_score":0.02803427},"labels":[],"label_agreement":null},{"id":"W1605119935","doi":"10.1007/978-3-540-88808-6_17","title":"Personal Agents in the Rule Responder Architecture","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; RuleML; Rule-based system; Architecture; Enterprise service bus; Reuse; Inference engine; Service (business); Rule of inference; Software engineering; Knowledge base; Web service; Service-oriented architecture; World Wide Web; Artificial intelligence; XML; Markup language; XHTML; Engineering","score_opus":0.038322697096029805,"score_gpt":0.2686674008060349,"score_spread":0.2303447037100051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605119935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019729137,0.0004268864,0.9043584,0.001477537,0.00021611474,0.0001654008,0.00014061407,0.007208498,0.0662775],"genre_scores_gemma":[0.2818187,0.00071409735,0.5972465,0.00061413436,0.00013933088,0.0002544299,0.0005578941,0.00075810816,0.11789679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918896,0.00028520921,0.000053524458,0.00017084334,0.0002092901,0.00009216421],"domain_scores_gemma":[0.9991835,0.00027894325,0.000030332629,0.00031910196,0.00010870481,0.00007939834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017387897,0.0003363839,0.0006302176,0.00039838965,0.0012153283,0.0035579994,0.00247019,0.0022799973,0.01946497],"category_scores_gemma":[0.0025938498,0.00074156385,0.00065817346,0.0006168534,0.0013394533,0.00584504,0.0020614462,0.002203821,0.006816529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042032343,0.00023826017,0.0007124805,0.00013728661,0.00006086087,0.00039637895,0.0010314649,0.028295593,0.0063006207,0.7786661,0.017914997,0.16582562],"study_design_scores_gemma":[0.00011482774,0.00010849538,0.00025351509,0.00007074696,0.000120533696,0.0003998254,0.00031540144,0.3801863,0.013842966,0.4779116,0.12661998,0.00005586403],"about_ca_topic_score_codex":0.0028227444,"about_ca_topic_score_gemma":0.0038201534,"teacher_disagreement_score":0.01946497,"about_ca_system_score_codex":0.00062406034,"about_ca_system_score_gemma":0.0009980339,"threshold_uncertainty_score":0.06511682},"labels":[],"label_agreement":null},{"id":"W1605425408","doi":"10.1007/978-3-540-72667-8_24","title":"Measuring Inconsistencies in Ontologies","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Computer science; Axiom; Ontology; Measure (data warehouse); Shapley value; Quality (philosophy); Theoretical computer science; Description logic; Game theory; Data mining; Mathematical economics; Mathematics","score_opus":0.07339363877268658,"score_gpt":0.2671452974660866,"score_spread":0.19375165869340005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605425408","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4281877,0.0032282602,0.5519562,0.0010750691,0.0002851127,0.0005339749,0.004076449,0.0034969852,0.007160313],"genre_scores_gemma":[0.74094355,0.0006200974,0.24933486,0.00015334925,0.00007792483,0.00018596287,0.0071218945,0.00041502496,0.0011473374],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96413034,0.008868108,0.0041752392,0.0051849,0.01646996,0.0011713478],"domain_scores_gemma":[0.91480076,0.053487733,0.0076370877,0.010734893,0.01245851,0.0008810082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013323374,0.0011949344,0.001813836,0.012678832,0.0020402526,0.005657523,0.0034654124,0.0022816479,0.002389719],"category_scores_gemma":[0.09884311,0.0011837087,0.0019804686,0.011943388,0.0020194568,0.013293256,0.0047435425,0.001943357,0.0004996913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015545312,0.0006887446,0.21931544,0.0018578325,0.0022842393,0.0015434586,0.0033610312,0.093133755,0.014800283,0.115990475,0.008354834,0.5371154],"study_design_scores_gemma":[0.00013896733,0.00050243037,0.032700006,0.0006175846,0.0021490015,0.0024785502,0.005283169,0.57170844,0.05692566,0.30728874,0.02000055,0.0002068963],"about_ca_topic_score_codex":0.0051489724,"about_ca_topic_score_gemma":0.005818043,"teacher_disagreement_score":0.013323374,"about_ca_system_score_codex":0.0024593147,"about_ca_system_score_gemma":0.0027963505,"threshold_uncertainty_score":0.07046163},"labels":[],"label_agreement":null},{"id":"W1605547301","doi":"10.2307/25148874","title":"Using Cognitive Principles to Guide Classification in Information Systems Modeling1","year":2008,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland","funders":"","keywords":"Information system; Cognition; Computer science; Management science; Data science; Knowledge management; Systems engineering; Engineering; Psychology","score_opus":0.12700862390549222,"score_gpt":0.30699094405799465,"score_spread":0.17998232015250243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605547301","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0101350825,0.0009159253,0.97212166,0.0057792915,0.000084043975,0.0003413574,0.000102923346,0.000189941,0.010329727],"genre_scores_gemma":[0.13012132,0.0009147433,0.86657596,0.0005901877,0.00007733527,0.0005392962,0.00019823937,0.00007419083,0.0009086587],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9845813,0.008935837,0.0016238131,0.0010448999,0.0033366275,0.0004775422],"domain_scores_gemma":[0.9723203,0.019657776,0.0017390555,0.0031629323,0.0026495701,0.0004702741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022518786,0.0014943598,0.0013997982,0.009909955,0.004154399,0.01034815,0.004644296,0.0032183987,0.0021743102],"category_scores_gemma":[0.03648418,0.0012689771,0.0026200213,0.006000478,0.021881105,0.015945619,0.0052713957,0.0067905043,0.00060517667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020804338,0.00007690493,0.0013639176,0.00027006146,0.00006445126,0.0001341989,0.003040789,0.021918928,0.00036912883,0.93483895,0.0014133054,0.03648862],"study_design_scores_gemma":[0.000014538084,0.000022470198,0.0003915411,0.00020664746,0.000027323093,0.00007459485,0.00090874126,0.04390328,0.000532948,0.9413932,0.0124895945,0.000035182955],"about_ca_topic_score_codex":0.012229437,"about_ca_topic_score_gemma":0.02122118,"teacher_disagreement_score":0.022518786,"about_ca_system_score_codex":0.0061753127,"about_ca_system_score_gemma":0.005954472,"threshold_uncertainty_score":0.11909211},"labels":[],"label_agreement":null},{"id":"W1606616363","doi":"","title":"Parallel TBox Classification in Description Logics --First Experimental Results","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Description logic; Web Ontology Language; Inference; Semantic Web; Overhead (engineering); Hierarchy; Theoretical computer science; Ontology; Ontology language; Core (optical fiber); Information retrieval; Artificial intelligence; Data mining; Programming language","score_opus":0.06137721070245907,"score_gpt":0.28128460048905013,"score_spread":0.21990738978659105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606616363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82630706,0.0033916745,0.14441778,0.00071557733,0.0002967792,0.001306672,0.0027137806,0.0070576333,0.013793049],"genre_scores_gemma":[0.76250666,0.00074785855,0.22737245,0.00021405898,0.000065825705,0.00058833027,0.004090822,0.00047160007,0.003942407],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99694437,0.0009619927,0.0002678597,0.00065138936,0.0009108546,0.00026358498],"domain_scores_gemma":[0.98628485,0.008136268,0.0005028466,0.0026114709,0.0020868967,0.00037758012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031609447,0.0010064198,0.0010839873,0.0011175803,0.0009138288,0.0010714618,0.0017027656,0.0009836461,0.0069798823],"category_scores_gemma":[0.011006815,0.00036490927,0.0007145137,0.001906994,0.0006969735,0.0028117022,0.0013166944,0.0008568828,0.00095930585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00850154,0.010708869,0.0084214555,0.0031442083,0.0005840121,0.00050839456,0.0007522694,0.14985557,0.04796257,0.0075203776,0.022123104,0.73991764],"study_design_scores_gemma":[0.0020204617,0.002837095,0.0035716689,0.000099736964,0.00033095188,0.00043275734,0.00076614646,0.8833688,0.07709908,0.018646011,0.010765025,0.000062371604],"about_ca_topic_score_codex":0.009228512,"about_ca_topic_score_gemma":0.0057942886,"teacher_disagreement_score":0.009228512,"about_ca_system_score_codex":0.0017013606,"about_ca_system_score_gemma":0.0011734589,"threshold_uncertainty_score":0.02335006},"labels":[],"label_agreement":null},{"id":"W1606639004","doi":"10.1007/11533962_17","title":"A Framework for Information Integration with Uncertainty","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Tuple; SQL; Relational algebra; Information integration; Set (abstract data type); Relational database; Relational model; Relational database management system; Function (biology); Relation (database); Rewriting; Data integration; Theoretical computer science; Data mining; Database; Programming language; Mathematics","score_opus":0.018254982024474807,"score_gpt":0.25801499436134984,"score_spread":0.23976001233687502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1606639004","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004966519,0.0005520862,0.9919635,0.0004499,0.00007107987,0.00005906243,0.00009221757,0.00048337333,0.0058320602],"genre_scores_gemma":[0.043102533,0.0010557267,0.9496097,0.00025141053,0.00019160772,0.00030191307,0.00044698824,0.000234274,0.0048058718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99564713,0.0013681538,0.00048333834,0.0006027764,0.0016625314,0.00023613767],"domain_scores_gemma":[0.99782664,0.00097606576,0.00012307007,0.0005328084,0.00045584686,0.00008557422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005170166,0.0014234154,0.0017880889,0.0037801098,0.0020609864,0.0075015053,0.003894619,0.0025948233,0.008671402],"category_scores_gemma":[0.008552821,0.001284644,0.0035388612,0.00529043,0.0035703732,0.01342079,0.006408003,0.0032880765,0.002746897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017063283,0.000018974553,0.000086308355,0.00012065705,0.000058167316,0.00013821913,0.00022041019,0.009452566,0.00032615734,0.94442004,0.0027991326,0.042342212],"study_design_scores_gemma":[0.000010445099,0.000010063902,0.00003445468,0.000069209585,0.00005588613,0.000089124886,0.00006356579,0.054718826,0.00062049786,0.91318005,0.031127878,0.000020045441],"about_ca_topic_score_codex":0.0054726005,"about_ca_topic_score_gemma":0.003954534,"teacher_disagreement_score":0.008671402,"about_ca_system_score_codex":0.0018445441,"about_ca_system_score_gemma":0.002017939,"threshold_uncertainty_score":0.029008746},"labels":[],"label_agreement":null},{"id":"W160723463","doi":"10.7202/1032722ar","title":"Identification des ressources sur Internet et métadonnées : diversité des standards","year":2015,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.08455335379151452,"score_gpt":0.3541557802536426,"score_spread":0.26960242646212806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W160723463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066486165,0.015759598,0.69632566,0.0071809227,0.0011949387,0.00039984877,0.002494307,0.00640115,0.20375739],"genre_scores_gemma":[0.34839347,0.019948788,0.5302767,0.0012779752,0.0006799085,0.0005713813,0.0071994066,0.0035961843,0.08805611],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9860904,0.0027244708,0.001646766,0.0014097368,0.007725207,0.0004033709],"domain_scores_gemma":[0.9767321,0.005553661,0.0012102242,0.0076818117,0.008404978,0.0004171785],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.011140121,0.0006645436,0.0006724541,0.011497181,0.0018697397,0.011935067,0.0015659744,0.002591338,0.0054982547],"category_scores_gemma":[0.022115482,0.0006449484,0.0008950615,0.01045549,0.0024384116,0.014770648,0.0039388086,0.002557115,0.0034660464],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001426963,0.00011268094,0.0072167674,0.0011975782,0.00007397172,0.0006714669,0.008386755,0.002282169,0.015556489,0.40060997,0.012614192,0.55113536],"study_design_scores_gemma":[0.00001853819,0.00006161984,0.0065018698,0.0020987159,0.00008605851,0.0022794276,0.0035719685,0.008500271,0.02839434,0.09884004,0.849502,0.00014524181],"about_ca_topic_score_codex":0.005133171,"about_ca_topic_score_gemma":0.0033451463,"teacher_disagreement_score":0.98806494,"about_ca_system_score_codex":0.0028960705,"about_ca_system_score_gemma":0.0041034236,"threshold_uncertainty_score":0.058915317},"labels":[],"label_agreement":null},{"id":"W1608269966","doi":"10.1007/978-3-540-89765-1_22","title":"Uncertainty Reasoning for Ontologies with General TBoxes in Description Logic","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Description logic; Set (abstract data type); Context (archaeology); Knowledge base; Programming language; Semantics (computer science); Theoretical computer science; Base (topology); Artificial intelligence; Natural language processing; Mathematics","score_opus":0.03578601207078525,"score_gpt":0.25545102364554495,"score_spread":0.2196650115747597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608269966","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008308949,0.0010619055,0.98527783,0.000608763,0.00008547229,0.00006115115,0.00022314533,0.00024144266,0.0041313753],"genre_scores_gemma":[0.31887072,0.0022224311,0.6712298,0.000506077,0.0002692344,0.00021961157,0.0013851211,0.00019828865,0.005098752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99555016,0.0014511319,0.00050794234,0.0005637066,0.0015907014,0.00033648295],"domain_scores_gemma":[0.99516195,0.0032882805,0.00024090461,0.0007083498,0.0004579916,0.00014243144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057726717,0.0007944351,0.0014115288,0.0022907036,0.0013070897,0.00462614,0.002558335,0.0016797698,0.002990488],"category_scores_gemma":[0.012224226,0.0012106623,0.0033736373,0.0031947144,0.0030185576,0.014198698,0.0051800394,0.004622314,0.0004680625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009732877,0.00005397077,0.00037481703,0.00034395015,0.00012862797,0.00024131617,0.00052909594,0.030330578,0.0012597633,0.9085669,0.003191449,0.05488226],"study_design_scores_gemma":[0.000015347057,0.000009383267,0.00006246465,0.000048867365,0.000043997974,0.0000666192,0.00007768382,0.079616636,0.0008681647,0.9158387,0.0033361358,0.000016094365],"about_ca_topic_score_codex":0.00487486,"about_ca_topic_score_gemma":0.005249934,"teacher_disagreement_score":0.0057726717,"about_ca_system_score_codex":0.0026881758,"about_ca_system_score_gemma":0.0014545317,"threshold_uncertainty_score":0.030529141},"labels":[],"label_agreement":null},{"id":"W16123658","doi":"10.1007/978-3-642-39617-5_4","title":"LegalRuleML: From Metamodel to Use Cases","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; XML; Semantics of Business Vocabulary and Business Rules; Metamodeling; Programming language; World Wide Web; Domain (mathematical analysis); Software engineering; Information retrieval; Efficient XML Interchange; Document type definition; Business rule; Work in process; Business process; Business","score_opus":0.0454415761894465,"score_gpt":0.25864026623570807,"score_spread":0.21319869004626157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W16123658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016765202,0.00041272552,0.9351197,0.00223751,0.00032052977,0.00026931788,0.004671742,0.03856924,0.01672287],"genre_scores_gemma":[0.059317935,0.0016348292,0.8779086,0.0018995991,0.00035398777,0.0007680423,0.019516097,0.020612797,0.017988065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99288905,0.0021907375,0.0009640076,0.000829352,0.0027584995,0.0003682604],"domain_scores_gemma":[0.9928363,0.003990943,0.0003731053,0.0016931479,0.0008780707,0.00022850554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00499907,0.0017210771,0.0011466307,0.00542951,0.0011899446,0.009499796,0.0045809993,0.003723021,0.018566603],"category_scores_gemma":[0.017774103,0.002486681,0.0022029644,0.0033309956,0.0038365782,0.0126760695,0.0054126084,0.0065569435,0.010190718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011438751,0.00029312103,0.0007313833,0.0010404693,0.00006596538,0.00089948083,0.0017917327,0.012028466,0.0037293662,0.6281354,0.13107911,0.22009113],"study_design_scores_gemma":[0.00008187471,0.000023076052,0.0001813316,0.00058706966,0.000054954653,0.0005929728,0.00029303168,0.063725516,0.0083297035,0.45591375,0.4701266,0.000090048605],"about_ca_topic_score_codex":0.0064832824,"about_ca_topic_score_gemma":0.0064559365,"teacher_disagreement_score":0.018566603,"about_ca_system_score_codex":0.002099925,"about_ca_system_score_gemma":0.0035139653,"threshold_uncertainty_score":0.062111497},"labels":[],"label_agreement":null},{"id":"W1612951099","doi":"","title":"Designing a Semantically Rich Visual Interface for Cultural Digital libraries Using the UNESCO Multilingual Thesaurus","year":2010,"lang":"en","type":"book-chapter","venue":"Sammelpunkt - Elektronisch archivierte Theorie","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Thesaurus; Interface (matter); Computer science; Information retrieval; Digital library; User interface; World Wide Web; Natural language processing; Linguistics","score_opus":0.031551218641618466,"score_gpt":0.29799803047426815,"score_spread":0.2664468118326497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1612951099","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020203235,0.0005337448,0.93940544,0.00066671777,0.0000961567,0.000472444,0.00040902878,0.008871966,0.029341133],"genre_scores_gemma":[0.09570093,0.00093506393,0.878143,0.00048974575,0.000045272376,0.00069273444,0.0011326437,0.002379417,0.02048115],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991855,0.00037182667,0.00007398214,0.00008766916,0.00023841018,0.000042609343],"domain_scores_gemma":[0.99883515,0.0007599653,0.00004354009,0.000100905556,0.00018285737,0.00007756784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017128976,0.0006908529,0.0004968056,0.0014956817,0.00097358786,0.004080792,0.0010542616,0.0012152953,0.008722728],"category_scores_gemma":[0.004428086,0.00048678665,0.0007411848,0.0012482533,0.00078619394,0.004008016,0.00313313,0.0009657775,0.0025765235],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005166747,0.0003280431,0.0022861103,0.0028880765,0.00013590975,0.002587849,0.04256238,0.01037667,0.14134948,0.12982225,0.04614174,0.6210048],"study_design_scores_gemma":[0.00020624696,0.00023719417,0.0018791513,0.0011991545,0.00016832825,0.0023239744,0.0074576307,0.05487791,0.052020542,0.034463063,0.84486175,0.00030494583],"about_ca_topic_score_codex":0.0021013522,"about_ca_topic_score_gemma":0.002908134,"teacher_disagreement_score":0.008722728,"about_ca_system_score_codex":0.00069470593,"about_ca_system_score_gemma":0.00088403973,"threshold_uncertainty_score":0.029180408},"labels":[],"label_agreement":null},{"id":"W161634281","doi":"10.1017/cbo9780511550881.032","title":"EFFICIENT TEXT SEARCHING IN JAVA","year":2000,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Java; Computer science; Programming language","score_opus":0.023406870615694075,"score_gpt":0.20656380948431602,"score_spread":0.18315693886862194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W161634281","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007930051,0.0010759073,0.6959581,0.00057801633,0.00020340666,0.00031256658,0.0041266913,0.24550316,0.0443122],"genre_scores_gemma":[0.088125475,0.001691487,0.7751102,0.0011086914,0.00018960294,0.0004706311,0.015878852,0.036723193,0.080701955],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986696,0.00014761546,0.00016489915,0.00027175166,0.0005675649,0.00017863991],"domain_scores_gemma":[0.9982681,0.0007433324,0.00009565174,0.00043794085,0.00035605425,0.00009880633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009898244,0.0011240451,0.001077847,0.0015147749,0.00071121816,0.003266985,0.002469398,0.0009970412,0.03491935],"category_scores_gemma":[0.003755781,0.001030352,0.0011402994,0.0023719007,0.0006476105,0.0065899715,0.0019959526,0.0012787805,0.024107458],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005330269,0.00026030603,0.0012902605,0.0007875392,0.000073162875,0.0002057614,0.0003496781,0.0041691726,0.028117383,0.03976992,0.16638799,0.7580557],"study_design_scores_gemma":[0.00071061123,0.00024570202,0.0034299397,0.0004101058,0.00016325191,0.0012780004,0.0003412689,0.16117287,0.077187985,0.12647283,0.6283488,0.00023857286],"about_ca_topic_score_codex":0.0039585573,"about_ca_topic_score_gemma":0.00563662,"teacher_disagreement_score":0.03491935,"about_ca_system_score_codex":0.0008312224,"about_ca_system_score_gemma":0.0017888586,"threshold_uncertainty_score":0.11681688},"labels":[],"label_agreement":null},{"id":"W1616947116","doi":"10.48550/arxiv.cs/0504071","title":"Proceedings of the Pacific Knowledge Acquisition Workshop 2004","year":2005,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Knowledge acquisition; Computer science; Tacit knowledge; Class hierarchy; Artificial intelligence; Domain knowledge; Knowledge management; Programming language","score_opus":0.02989881672138624,"score_gpt":0.25650481898291977,"score_spread":0.22660600226153352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1616947116","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015270501,0.031835232,0.12593201,0.09813038,0.029149795,0.0009392324,0.009331595,0.008541425,0.6808699],"genre_scores_gemma":[0.059348203,0.02749343,0.091334,0.008876869,0.004942371,0.00060529995,0.034583513,0.0021589685,0.77065724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800414,0.00049749145,0.00014736803,0.0003031473,0.0008759282,0.00017177685],"domain_scores_gemma":[0.9964083,0.00066154316,0.00010821881,0.0005343568,0.0017640075,0.00052352046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035294655,0.00083067175,0.0010340238,0.0024787183,0.0021822574,0.007997405,0.0022600333,0.0018145156,0.10727204],"category_scores_gemma":[0.006516613,0.0005270284,0.0007992713,0.0025553738,0.0010087553,0.0068380726,0.004099559,0.002529537,0.040804654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001667284,0.00017475434,0.0005323253,0.00034204015,0.000029891698,0.000257168,0.00039819145,0.00050865003,0.0008783275,0.012529388,0.6772097,0.3069729],"study_design_scores_gemma":[0.000015555233,0.000016009508,0.0005233441,0.00015121065,0.000019769444,0.00015254912,0.00028000155,0.0010758697,0.0007265438,0.009059221,0.9879654,0.00001452678],"about_ca_topic_score_codex":0.010382385,"about_ca_topic_score_gemma":0.019653795,"teacher_disagreement_score":0.10727204,"about_ca_system_score_codex":0.0027093466,"about_ca_system_score_gemma":0.0061365245,"threshold_uncertainty_score":0.35886067},"labels":[],"label_agreement":null},{"id":"W161702640","doi":"10.1007/978-3-642-21869-9_123","title":"Authoring Step-Based ITS with ASTUS: An Interactive Event","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Tracing; TUTOR; Task (project management); SQL; Domain (mathematical analysis); Event (particle physics); Constraint (computer-aided design); Programming language; Software engineering; Human–computer interaction","score_opus":0.030830466597035665,"score_gpt":0.26769404561365334,"score_spread":0.23686357901661767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W161702640","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012573482,0.00007702194,0.9113792,0.00018086328,0.00031631772,0.00019677133,0.0016724025,0.05155949,0.02204445],"genre_scores_gemma":[0.27287254,0.00028636208,0.65229386,0.00018578609,0.00014838683,0.0005253608,0.0066233217,0.022696137,0.04436825],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999073,0.00029587635,0.000077602526,0.00013736139,0.0003351302,0.00008096372],"domain_scores_gemma":[0.9970669,0.0017229699,0.00008204018,0.00065821875,0.00024397882,0.00022590814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016741212,0.0012636725,0.0007524151,0.0008284892,0.0009551985,0.003147113,0.0019775708,0.00150389,0.04734737],"category_scores_gemma":[0.0053255153,0.0008183175,0.0015641392,0.00068333466,0.0011057204,0.0031601922,0.0045439694,0.0019002543,0.008636127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002906612,0.0007284682,0.004078878,0.0020045172,0.0002988259,0.0031997624,0.0073083215,0.10650906,0.048948966,0.28613067,0.16636877,0.3715172],"study_design_scores_gemma":[0.00038444338,0.00020640851,0.0005047004,0.00022999846,0.00012355295,0.00070526067,0.0005956099,0.37594008,0.050323028,0.10270573,0.46815348,0.00012769153],"about_ca_topic_score_codex":0.00078421336,"about_ca_topic_score_gemma":0.0020451332,"teacher_disagreement_score":0.04734737,"about_ca_system_score_codex":0.00051757676,"about_ca_system_score_gemma":0.0006996752,"threshold_uncertainty_score":0.15839273},"labels":[],"label_agreement":null},{"id":"W1627326109","doi":"10.18438/b8h31t","title":"Openness: The Essential Quality of Knowledge","year":2011,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nature","keywords":"Openness to experience; Quality (philosophy); Computer science; World Wide Web; Knowledge management; Psychology; Social psychology","score_opus":0.052296475378868924,"score_gpt":0.301597729344547,"score_spread":0.24930125396567807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1627326109","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02570383,0.12889326,0.27553236,0.20803125,0.011055089,0.00029219722,0.0018687955,0.0005076012,0.34811565],"genre_scores_gemma":[0.83087206,0.06019679,0.05604002,0.013462218,0.007188293,0.0005165354,0.0014967016,0.00026537816,0.029962044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9795201,0.008348026,0.0018796445,0.0022877583,0.007051783,0.00091273995],"domain_scores_gemma":[0.8916436,0.06738137,0.007574972,0.01896388,0.011615568,0.0028205002],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.020153133,0.00053187966,0.0016911301,0.0040425253,0.0027000345,0.013073448,0.0023867278,0.004002471,0.015492386],"category_scores_gemma":[0.07930765,0.0005244221,0.0012005086,0.003869764,0.02354307,0.024092065,0.0075326543,0.004398922,0.0029916582],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080049394,0.000032955068,0.000754148,0.001338999,0.00010956804,0.00013471562,0.0011089873,0.00050449726,0.0003257329,0.926751,0.009871603,0.05898788],"study_design_scores_gemma":[0.00001330365,0.000023278553,0.000340434,0.0009894201,0.000044345034,0.00014946352,0.00053974596,0.00028270434,0.00032450314,0.9592214,0.038052082,0.000019312294],"about_ca_topic_score_codex":0.00096353446,"about_ca_topic_score_gemma":0.0006405898,"teacher_disagreement_score":0.99761325,"about_ca_system_score_codex":0.0030688564,"about_ca_system_score_gemma":0.00501422,"threshold_uncertainty_score":0.10658121},"labels":[],"label_agreement":null},{"id":"W163094812","doi":"","title":"Eliciting Architectural Decisions from Requirements using a Rule-based Framework.","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Heuristics; Architectural pattern; Computer science; Task (project management); Software engineering; Architectural style; Architectural design; Architecture; Systems engineering; Engineering; Programming language; Software development; Software design; Software","score_opus":0.09270814265844848,"score_gpt":0.3250225951734462,"score_spread":0.23231445251499774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W163094812","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009956141,0.0005054858,0.97150797,0.0013520924,0.00006532024,0.0023539138,0.0013519337,0.0013111279,0.011596054],"genre_scores_gemma":[0.04973267,0.00046434172,0.9442366,0.00026657918,0.000039551425,0.0011323625,0.0027562322,0.00011167963,0.00125998],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97759026,0.011906862,0.0022177375,0.0018128147,0.005968544,0.0005037842],"domain_scores_gemma":[0.9531072,0.035368428,0.0027638662,0.0037567187,0.0044016913,0.0006020456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01537024,0.0025591042,0.0017404924,0.0057244953,0.0014461488,0.006077266,0.005098686,0.0032406575,0.00490626],"category_scores_gemma":[0.05662904,0.0011312675,0.0034674432,0.0042471876,0.0024215565,0.004801805,0.002816972,0.0031520624,0.003073391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039082346,0.0019542144,0.006222877,0.003941097,0.0010689545,0.0039817393,0.006680558,0.17184597,0.025294894,0.17412268,0.031061126,0.57343507],"study_design_scores_gemma":[0.0003423658,0.00043353075,0.0028518094,0.002285729,0.0006991019,0.0013170238,0.0039314735,0.56599754,0.019134687,0.33067313,0.071988046,0.0003455344],"about_ca_topic_score_codex":0.006812989,"about_ca_topic_score_gemma":0.017337287,"teacher_disagreement_score":0.01537024,"about_ca_system_score_codex":0.0022195703,"about_ca_system_score_gemma":0.0055412394,"threshold_uncertainty_score":0.08128655},"labels":[],"label_agreement":null},{"id":"W163302719","doi":"10.1007/978-3-642-22218-4_39","title":"Exploiting OWL Reasoning Services to Execute Ontologically-Modeled Clinical Practice Guidelines","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Artificial intelligence; Web Ontology Language; Software engineering; Data science; Programming language; Semantic Web","score_opus":0.09448496561185087,"score_gpt":0.36289163639376265,"score_spread":0.26840667078191177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W163302719","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029610256,0.00025874397,0.910281,0.002213426,0.00029220272,0.0008603334,0.0038919402,0.04098003,0.011612009],"genre_scores_gemma":[0.20167044,0.00036870642,0.7823678,0.0008648768,0.00006361642,0.0002893225,0.009034593,0.0019775808,0.0033630386],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99635446,0.001162636,0.00051785825,0.00033757763,0.0013465928,0.00028092114],"domain_scores_gemma":[0.992008,0.0049647903,0.0006064381,0.0012181319,0.000910133,0.00029255467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059032203,0.001054997,0.00076347817,0.0018698998,0.00088193343,0.0045453347,0.0019393233,0.0014818665,0.0037960024],"category_scores_gemma":[0.018080886,0.00087127683,0.0021818224,0.001315171,0.0010021414,0.0029444303,0.0034328178,0.0017225796,0.0015024901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019152492,0.0019831413,0.019459922,0.0016954554,0.00114399,0.004872773,0.004303838,0.24038018,0.020657673,0.22452343,0.06720218,0.4118622],"study_design_scores_gemma":[0.00028108002,0.0000848188,0.0011876499,0.00025949776,0.00024406196,0.0004079048,0.0005730623,0.7956176,0.018842172,0.11913941,0.06326699,0.00009578023],"about_ca_topic_score_codex":0.030593084,"about_ca_topic_score_gemma":0.04395209,"teacher_disagreement_score":0.030593084,"about_ca_system_score_codex":0.0018962412,"about_ca_system_score_gemma":0.0045053614,"threshold_uncertainty_score":0.060830057},"labels":[],"label_agreement":null},{"id":"W1634466368","doi":"10.1007/3-540-44503-x_4","title":"On Decidability and Complexity of Description Logics with Uniqueness Constraints","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decidability; Uniqueness; Equivalence (formal languages); Computer science; Successor cardinal; Monadic predicate calculus; Path (computing); Second-order logic; Time complexity; Theoretical computer science; Discrete mathematics; Mathematics; Description logic; Algorithm; Programming language; Higher-order logic","score_opus":0.057765469693846994,"score_gpt":0.25973996442878633,"score_spread":0.20197449473493934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1634466368","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21999544,0.009434642,0.67541945,0.027661823,0.000586124,0.00046635367,0.0032048945,0.0014948943,0.061736472],"genre_scores_gemma":[0.834919,0.004536255,0.1397733,0.0028396253,0.0021355879,0.0007903989,0.0038364187,0.00086066243,0.010308721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9778371,0.007796241,0.001709531,0.0040667546,0.0061010835,0.0024892702],"domain_scores_gemma":[0.7480214,0.23456158,0.004223077,0.008071704,0.0031221579,0.002000058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018017398,0.002508807,0.004281966,0.00530363,0.0055711954,0.014800105,0.01034772,0.005489035,0.0116717145],"category_scores_gemma":[0.08377477,0.004308436,0.010108015,0.007975328,0.014136855,0.0586901,0.011481,0.021010024,0.0009154253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043525067,0.0003075983,0.0022179026,0.0006848999,0.0002943985,0.00023899965,0.0012252965,0.035232082,0.0009135104,0.9274906,0.0059765754,0.024982857],"study_design_scores_gemma":[0.000039364822,0.0000121973635,0.00015978556,0.000032453085,0.000054809807,0.000053793483,0.00007833417,0.024214549,0.0003320921,0.9744144,0.0005877809,0.000020451904],"about_ca_topic_score_codex":0.0072064544,"about_ca_topic_score_gemma":0.006458457,"teacher_disagreement_score":0.018017398,"about_ca_system_score_codex":0.011066115,"about_ca_system_score_gemma":0.005309127,"threshold_uncertainty_score":0.09528625},"labels":[],"label_agreement":null},{"id":"W164237141","doi":"","title":"Using Selectional Restrictions to Query an OWL Ontology","year":2006,"lang":"en","type":"article","venue":"Formal Ontology in Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ontology; Mean reciprocal rank; Information retrieval; Upper ontology; Rank (graph theory); Natural language processing; Suggested Upper Merged Ontology; Ontology-based data integration; Ontology Inference Layer; Question answering; Natural language; OWL-S; Ontology alignment; Artificial intelligence; Semantic Web; Semantic Web Stack; Mathematics","score_opus":0.03267529644511544,"score_gpt":0.2852458609470468,"score_spread":0.2525705645019314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W164237141","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057935804,0.00012892402,0.90607196,0.00090084923,0.00006195796,0.0003693689,0.001153418,0.015689708,0.01768804],"genre_scores_gemma":[0.42231223,0.00030632195,0.56475836,0.0007166427,0.00007946599,0.0004782236,0.0038194275,0.0017723542,0.0057570357],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956279,0.0015874627,0.0004707551,0.00052579824,0.0015921941,0.00019598052],"domain_scores_gemma":[0.9883183,0.0082589835,0.0006760585,0.0016560664,0.0008973184,0.00019330446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059593963,0.0005173235,0.00054917263,0.0018837677,0.0010331332,0.002198282,0.00097371073,0.00056741573,0.0035969387],"category_scores_gemma":[0.0134481685,0.00041788287,0.0007892847,0.00097079104,0.0012103089,0.0047494215,0.0024954027,0.0010575308,0.0011673326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011909683,0.00078073365,0.0108914515,0.001198982,0.00029039936,0.0018252622,0.008196748,0.028071875,0.1175415,0.35218164,0.03253624,0.44529414],"study_design_scores_gemma":[0.00016269436,0.00029022232,0.0048801163,0.0002963991,0.00020633219,0.001161329,0.0022795266,0.36096653,0.11663601,0.1851492,0.32771978,0.00025182273],"about_ca_topic_score_codex":0.005438901,"about_ca_topic_score_gemma":0.0059802993,"teacher_disagreement_score":0.0059593963,"about_ca_system_score_codex":0.0010805391,"about_ca_system_score_gemma":0.001386944,"threshold_uncertainty_score":0.03151667},"labels":[],"label_agreement":null},{"id":"W1644586429","doi":"10.3233/ao-2012-0106","title":"Modular first-order ontologies via repositories","year":2012,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Modular design; Order (exchange); Information retrieval; World Wide Web; Programming language","score_opus":0.014221188706327126,"score_gpt":0.23078266077045698,"score_spread":0.21656147206412985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1644586429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041285497,0.0003945991,0.9809076,0.0007834686,0.000069303685,0.00020514509,0.0002787542,0.004309371,0.00892319],"genre_scores_gemma":[0.16611198,0.0020441492,0.80726105,0.0005283607,0.00019134242,0.00058426027,0.0031173388,0.0013017353,0.018859833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9897625,0.0035163972,0.0011485254,0.0014501238,0.0034916901,0.0006309216],"domain_scores_gemma":[0.9843636,0.0035641594,0.0008939895,0.009006679,0.0017358337,0.00043573705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0107441135,0.0012593834,0.0012399117,0.005215403,0.0020485471,0.008690898,0.003732956,0.0028895496,0.0074249245],"category_scores_gemma":[0.021681448,0.0017038195,0.002919036,0.0059535946,0.0033329146,0.025642784,0.009783105,0.003433126,0.0047579203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006691801,0.00007764327,0.0004988307,0.00021776011,0.000074722026,0.00022224168,0.0007586544,0.0075971535,0.0015742584,0.9124132,0.004805601,0.071693085],"study_design_scores_gemma":[0.000060937036,0.000047563834,0.00020710974,0.00020899864,0.00009944476,0.00034903968,0.00019293303,0.042776957,0.0060393093,0.8563329,0.09362163,0.00006314539],"about_ca_topic_score_codex":0.0039412077,"about_ca_topic_score_gemma":0.0046752878,"teacher_disagreement_score":0.0107441135,"about_ca_system_score_codex":0.0019474641,"about_ca_system_score_gemma":0.004245605,"threshold_uncertainty_score":0.05682099},"labels":[],"label_agreement":null},{"id":"W165026958","doi":"","title":"Annotation in Computer Assisted Reading and Analysis of Texts.","year":2007,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Reading (process); Computer science; Interpretation (philosophy); Annotation; Thematic map; Thematic analysis; Data science; Information retrieval; World Wide Web; Artificial intelligence; Linguistics; Qualitative research; Sociology; Social science","score_opus":0.06772271033481757,"score_gpt":0.3841309335538748,"score_spread":0.3164082232190572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W165026958","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007210948,0.013150021,0.88460046,0.006316533,0.001509273,0.0010245848,0.001354629,0.0065195584,0.07831394],"genre_scores_gemma":[0.085249215,0.0067808297,0.8717328,0.0018925895,0.0007211905,0.0012982759,0.003736935,0.001268744,0.027319426],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9778324,0.013948342,0.0015567415,0.002010119,0.0042657363,0.00038658967],"domain_scores_gemma":[0.9626902,0.027573239,0.0015915554,0.004427701,0.0032541335,0.00046319948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018158456,0.0010288091,0.0011790998,0.009595598,0.0036144878,0.007983277,0.0031774275,0.0036657595,0.010960922],"category_scores_gemma":[0.035438795,0.0006883119,0.0009336535,0.010287073,0.007306498,0.010784435,0.005632385,0.0017528932,0.0059793126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019182278,0.00014489349,0.0017644184,0.002413584,0.000090067886,0.000711828,0.010451003,0.0017153927,0.0066337367,0.16215523,0.04690033,0.76682776],"study_design_scores_gemma":[0.000041646254,0.000055695953,0.003018066,0.0021962405,0.00008907575,0.0014003837,0.0049685026,0.019657247,0.010946422,0.4743988,0.4830963,0.0001317233],"about_ca_topic_score_codex":0.004545911,"about_ca_topic_score_gemma":0.0063027428,"teacher_disagreement_score":0.018158456,"about_ca_system_score_codex":0.0020131434,"about_ca_system_score_gemma":0.003963635,"threshold_uncertainty_score":0.0960322},"labels":[],"label_agreement":null},{"id":"W165101881","doi":"10.11575/prism/30305","title":"AUTOMATIC INTEGRATION OF RELATIONAL DATABASE SCHEMAS","year":2000,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Manitoba","funders":"","keywords":"Computer science; Data integration; Metadata; Information retrieval; Database; IDEF1X; Data element; Information integration; Relational database; Schema (genetic algorithms); Semantic integration; Data architecture; Data mapping; World Wide Web; Ontology-based data integration; Semantic Web; Semantic Web Stack; Reference architecture; Programming language; Software architecture; Software","score_opus":0.019404595402464205,"score_gpt":0.20965169512441154,"score_spread":0.19024709972194734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W165101881","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022269428,0.0007257319,0.9518761,0.00028695847,0.00010733526,0.00048050843,0.00090018555,0.017018551,0.006335188],"genre_scores_gemma":[0.11418627,0.0005356009,0.8753215,0.00018161294,0.00003560578,0.00017060827,0.0051321588,0.0015259617,0.0029107134],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9895215,0.0023575097,0.0013450002,0.001485349,0.0049657375,0.0003248776],"domain_scores_gemma":[0.9877537,0.0031045538,0.0006520802,0.004443289,0.0038079042,0.00023844701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008681192,0.0008128068,0.0012877076,0.0041889157,0.000967109,0.005585979,0.002263845,0.0010630656,0.003482418],"category_scores_gemma":[0.018130662,0.0011329963,0.0020318243,0.0035030157,0.00066762906,0.0058327257,0.004604584,0.0019328505,0.0021860483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048624008,0.00048098282,0.009957191,0.0007720664,0.00051396486,0.0013740436,0.0032169188,0.025094071,0.03982504,0.14605556,0.019973394,0.75225043],"study_design_scores_gemma":[0.00021703145,0.00024012588,0.004709184,0.0006385806,0.00044067964,0.00161699,0.0022979267,0.5151859,0.14015971,0.11633943,0.2179255,0.0002289768],"about_ca_topic_score_codex":0.002610828,"about_ca_topic_score_gemma":0.003037864,"teacher_disagreement_score":0.008681192,"about_ca_system_score_codex":0.0011083352,"about_ca_system_score_gemma":0.002118755,"threshold_uncertainty_score":0.045911074},"labels":[],"label_agreement":null},{"id":"W1654250191","doi":"","title":"On Decidability and Complexity of Description Logics with Uniqueness Constraints.","year":2000,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decidability; Uniqueness; Equivalence (formal languages); Computer science; Successor cardinal; Path (computing); Monadic predicate calculus; Description logic; Datalog; Theoretical computer science; Logical consequence; Mathematics; Discrete mathematics; Programming language; Artificial intelligence; Higher-order logic","score_opus":0.0661053237975257,"score_gpt":0.25425911668448387,"score_spread":0.18815379288695816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1654250191","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2165658,0.0052502984,0.7123824,0.02511924,0.00046198242,0.0005638587,0.004031756,0.0016125123,0.034012184],"genre_scores_gemma":[0.81423324,0.0024975971,0.16573818,0.003055562,0.0014959087,0.00090111786,0.0048288438,0.0005416417,0.0067079323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9847756,0.0048012915,0.0010618487,0.0033895753,0.0038427678,0.00212891],"domain_scores_gemma":[0.8071366,0.17875975,0.0042792438,0.00569726,0.002438493,0.0016887244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012596681,0.001609145,0.0023997643,0.0031516217,0.0038320574,0.010897351,0.0069484073,0.0044158557,0.011335734],"category_scores_gemma":[0.0796813,0.0018689237,0.005988292,0.005096568,0.009274211,0.032955647,0.008655119,0.014070201,0.00092508295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007024185,0.00057522976,0.0049378565,0.0013443116,0.00035428972,0.00062713353,0.0022996333,0.05769263,0.002267914,0.8745669,0.009875323,0.044756472],"study_design_scores_gemma":[0.00007666987,0.000024813586,0.00029769616,0.00004451048,0.00007049425,0.00014057974,0.00013743811,0.058837716,0.0007444165,0.9382645,0.0013377867,0.0000234172],"about_ca_topic_score_codex":0.006363031,"about_ca_topic_score_gemma":0.0061174096,"teacher_disagreement_score":0.012596681,"about_ca_system_score_codex":0.0080089895,"about_ca_system_score_gemma":0.004664906,"threshold_uncertainty_score":0.06661844},"labels":[],"label_agreement":null},{"id":"W16557397","doi":"10.4018/978-1-59140-553-5.ch472","title":"Structural Text Mining","year":2005,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Construct (python library); Knowledge extraction; Domain (mathematical analysis); Artificial intelligence","score_opus":0.026252691915689172,"score_gpt":0.25244669032759404,"score_spread":0.22619399841190485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W16557397","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0551749,0.008389295,0.7526094,0.004045594,0.0011090124,0.003355579,0.07744827,0.01775832,0.08010961],"genre_scores_gemma":[0.22685143,0.007384439,0.58720726,0.0010045164,0.00070347055,0.0016317955,0.13620928,0.0013636872,0.03764414],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978404,0.00042417087,0.00029926345,0.0005103079,0.000793291,0.00013248036],"domain_scores_gemma":[0.9948144,0.0020793448,0.00063852075,0.00081328367,0.0015169836,0.0001375374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017763316,0.0009764378,0.00079648057,0.011538364,0.00142579,0.0022641185,0.0017544341,0.0009379163,0.015317736],"category_scores_gemma":[0.008421495,0.00037741245,0.0016264871,0.009580673,0.00066448684,0.003051168,0.0017989529,0.0011001424,0.011939044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022533986,0.0002925156,0.008782018,0.0022095444,0.00022101638,0.0006817848,0.00068769656,0.0051276996,0.0108206,0.031299982,0.07961717,0.8600346],"study_design_scores_gemma":[0.00013405946,0.0004155621,0.016040152,0.001221688,0.0005645318,0.0041839764,0.0018598022,0.14101718,0.042275507,0.17858341,0.6135865,0.00011761162],"about_ca_topic_score_codex":0.0014433737,"about_ca_topic_score_gemma":0.003305668,"teacher_disagreement_score":0.015317736,"about_ca_system_score_codex":0.0007353023,"about_ca_system_score_gemma":0.0024843568,"threshold_uncertainty_score":0.051242948},"labels":[],"label_agreement":null},{"id":"W1657296557","doi":"","title":"Logic programs for consistently querying data integration systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Logic programming; Class (philosophy); Semantics (computer science); Programming language; Logic program; Data integrity; Theoretical computer science; Data integration; Datalog; Database; Artificial intelligence","score_opus":0.18114210437354403,"score_gpt":0.32218876470376295,"score_spread":0.14104666033021893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1657296557","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008302383,0.0003517719,0.9817301,0.0019493863,0.00006121501,0.00016726695,0.00023327794,0.0014106045,0.0057940525],"genre_scores_gemma":[0.24075334,0.0008356036,0.7487837,0.0013766702,0.00029480708,0.0009299369,0.0011631512,0.0004569173,0.0054058246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99335337,0.0024422156,0.00065628806,0.00088740495,0.0021464606,0.0005143072],"domain_scores_gemma":[0.9907232,0.0065614413,0.0006106203,0.00075940223,0.0010793292,0.00026605165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006923475,0.0011129074,0.00079445745,0.0020844373,0.0012905065,0.0062490418,0.0027000462,0.002250002,0.0043343985],"category_scores_gemma":[0.01887872,0.0009661977,0.0015315374,0.0021584735,0.004384301,0.008736162,0.0040502907,0.004841112,0.00096066133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007857605,0.000081077895,0.00036662642,0.00018634362,0.00003241006,0.00020677803,0.0008132862,0.017506028,0.001367435,0.9417517,0.002766472,0.034843255],"study_design_scores_gemma":[0.000075722965,0.000031192023,0.00006176439,0.000066105786,0.00004642521,0.0000857678,0.00016956747,0.09399609,0.0018427093,0.89362615,0.009974268,0.000024192588],"about_ca_topic_score_codex":0.0036735665,"about_ca_topic_score_gemma":0.0027539388,"teacher_disagreement_score":0.006923475,"about_ca_system_score_codex":0.002994729,"about_ca_system_score_gemma":0.0023608115,"threshold_uncertainty_score":0.036615312},"labels":[],"label_agreement":null},{"id":"W1660011893","doi":"10.18438/b8ng9w","title":"Can Scholarly Communication be Evidence Based?","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scholarly communication; Computer science; World Wide Web; Data science; Political science; Publishing; Law","score_opus":0.02961527804620003,"score_gpt":0.2736606144041413,"score_spread":0.24404533635794126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1660011893","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00089664076,0.22884823,0.0051577697,0.6352763,0.07954111,0.00023891627,0.0013062941,0.0001270736,0.04860759],"genre_scores_gemma":[0.13344206,0.47387916,0.011406948,0.25590566,0.084135436,0.001619937,0.0027500216,0.00021174102,0.036649022],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9601319,0.018692805,0.0046701515,0.0028401313,0.012432947,0.0012319832],"domain_scores_gemma":[0.692633,0.19618537,0.019480515,0.016507903,0.066592194,0.008601056],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.046051558,0.0010772793,0.0028545747,0.008273112,0.0041096034,0.013561557,0.0042641447,0.014703827,0.06565319],"category_scores_gemma":[0.27968615,0.00074930897,0.0020526415,0.007882626,0.01073882,0.021517161,0.009006399,0.01070153,0.01941214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007749714,0.00019327198,0.0017216873,0.043451503,0.00078094564,0.00033643548,0.0012296068,0.00036060333,0.00029895792,0.18393052,0.45424992,0.31267154],"study_design_scores_gemma":[0.00015585916,0.0001601941,0.0027532247,0.10772823,0.0007928462,0.0004922005,0.0047854255,0.0003661714,0.00054908433,0.21580863,0.66627955,0.00012848458],"about_ca_topic_score_codex":0.002873726,"about_ca_topic_score_gemma":0.004866722,"teacher_disagreement_score":0.98643845,"about_ca_system_score_codex":0.0050686765,"about_ca_system_score_gemma":0.014795892,"threshold_uncertainty_score":0.24354684},"labels":[],"label_agreement":null},{"id":"W1664757612","doi":"10.1007/978-3-540-74469-6_84","title":"A Context-Based Approach for the Discovery of Complex Matches Between Database Sources","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Matching (statistics); Focus (optics); Context (archaeology); Task (project management); Automation; Information retrieval; Data mining; Theoretical computer science; Database","score_opus":0.08545391057205544,"score_gpt":0.29104553640375913,"score_spread":0.2055916258317037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1664757612","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01144707,0.001968418,0.9788609,0.00037917303,0.00009834635,0.00039799974,0.0008414782,0.0027031426,0.0033035844],"genre_scores_gemma":[0.06335042,0.00075418025,0.93268085,0.00015647222,0.00006607341,0.00019564253,0.0010829695,0.0001479354,0.0015655074],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925136,0.0014352448,0.00081921223,0.0014682162,0.0034301754,0.00033356046],"domain_scores_gemma":[0.9912788,0.004721971,0.0005486021,0.0015812129,0.0015662751,0.0003032228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043275533,0.0012624322,0.002136393,0.012063658,0.0032926274,0.0065892884,0.004181972,0.0031318837,0.004331276],"category_scores_gemma":[0.020915216,0.0013668967,0.002252112,0.012200137,0.0014523317,0.009106599,0.006249181,0.002516117,0.0020261854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007816738,0.00060189393,0.009351678,0.0011451732,0.00070450857,0.0019578866,0.0026635155,0.014950606,0.022434888,0.14172347,0.016139463,0.7875452],"study_design_scores_gemma":[0.0001537775,0.00025741663,0.0036444128,0.0006745264,0.000992579,0.0039498038,0.0022652869,0.56967837,0.039221898,0.29744098,0.0813409,0.00038001718],"about_ca_topic_score_codex":0.0103921,"about_ca_topic_score_gemma":0.020406676,"teacher_disagreement_score":0.012063658,"about_ca_system_score_codex":0.0011495228,"about_ca_system_score_gemma":0.0028821127,"threshold_uncertainty_score":0.022886574},"labels":[],"label_agreement":null},{"id":"W1665411359","doi":"10.1109/compsac.2015.152","title":"High-Recall Information Retrieval from Linked Big Data","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Recall; Precision and recall; Information retrieval; Big data; Information system; World Wide Web; Data mining","score_opus":0.13545174366782556,"score_gpt":0.27353766078517294,"score_spread":0.13808591711734738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1665411359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0898174,0.009006195,0.85799414,0.0019508932,0.0004255907,0.0018539052,0.0044360515,0.016423173,0.018092731],"genre_scores_gemma":[0.36596856,0.0038038823,0.6079567,0.0011909355,0.00061764655,0.0008136491,0.012674867,0.00057914807,0.0063946084],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98811495,0.0031739902,0.0014696249,0.001275514,0.0054295002,0.00053643563],"domain_scores_gemma":[0.9806958,0.008780736,0.0013061134,0.005329037,0.00370403,0.00018432674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010512809,0.00185586,0.0020733727,0.011319708,0.0020609018,0.005816556,0.0025396226,0.0030129892,0.0032956332],"category_scores_gemma":[0.040870585,0.00072001317,0.0017139332,0.009507553,0.0014214125,0.010285049,0.00450395,0.0017311489,0.004077677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014641449,0.0011280732,0.015175355,0.003788665,0.00092522916,0.001566209,0.002580285,0.022396619,0.040828016,0.028294066,0.06404733,0.817806],"study_design_scores_gemma":[0.00074365136,0.0013161581,0.022514,0.00085591624,0.0014497921,0.007413717,0.0029324875,0.46724743,0.17293893,0.18009666,0.14151737,0.0009739088],"about_ca_topic_score_codex":0.002814652,"about_ca_topic_score_gemma":0.0032735036,"teacher_disagreement_score":0.011319708,"about_ca_system_score_codex":0.0011164454,"about_ca_system_score_gemma":0.0014889892,"threshold_uncertainty_score":0.055597723},"labels":[],"label_agreement":null},{"id":"W1668062698","doi":"10.3233/sw-130115","title":"Special issue on Linked Data for Health Care and the Life Sciences","year":2014,"lang":"en","type":"article","venue":"Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ministerio de Economía y Competitividad","keywords":"Health care; Data science; Psychology; Gerontology; Engineering ethics; Medicine; Computer science; Political science; Engineering","score_opus":0.04149801439993337,"score_gpt":0.3169198586497836,"score_spread":0.2754218442498502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1668062698","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005474034,0.09863166,0.013063535,0.108141966,0.6493217,0.0008512146,0.0054994537,0.0016635992,0.12227951],"genre_scores_gemma":[0.0023193476,0.09880677,0.0067288275,0.045480292,0.71545744,0.0006277286,0.009056091,0.0018489707,0.11967463],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99378705,0.0014354715,0.00085117714,0.00081171223,0.0027601072,0.0003545429],"domain_scores_gemma":[0.97059655,0.0146170845,0.002093614,0.0029829445,0.0055397246,0.0041700862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00996562,0.002219205,0.0032111881,0.009110756,0.002253664,0.0097658755,0.00469059,0.00841287,0.12788564],"category_scores_gemma":[0.02210026,0.0009668542,0.0017726144,0.009380566,0.0023413005,0.011683567,0.008287565,0.007878562,0.050145864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026671523,0.000027459579,0.00010612969,0.00053028885,0.000019828232,0.00009698662,0.000045928067,0.00005638269,0.00025262634,0.0047715935,0.95802337,0.036042757],"study_design_scores_gemma":[0.0000047500534,0.000008251156,0.00011611049,0.0003345304,0.0000064940336,0.00009775423,0.000018099363,0.00004540249,0.00003647893,0.0015211432,0.9978053,0.0000057289367],"about_ca_topic_score_codex":0.0014247083,"about_ca_topic_score_gemma":0.002404178,"teacher_disagreement_score":0.12788564,"about_ca_system_score_codex":0.0023272242,"about_ca_system_score_gemma":0.004006031,"threshold_uncertainty_score":0.4278201},"labels":[],"label_agreement":null},{"id":"W1672132494","doi":"10.1007/978-3-642-00282-3_14","title":"Beyond the Ontology Definition Metamodel: Applications","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Metamodeling; Computer science; Ontology; Unified Modeling Language; Programming language; Software engineering; Ontology engineering; Upper ontology; Focus (optics); Semantic Web; Information retrieval; Software","score_opus":0.04067585026884664,"score_gpt":0.24553512004300718,"score_spread":0.20485926977416052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1672132494","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023816219,0.0666236,0.6489436,0.013790902,0.002988007,0.00013387627,0.00068355165,0.0024776596,0.26197717],"genre_scores_gemma":[0.044030424,0.11035908,0.6202134,0.006763076,0.0023575127,0.0004115773,0.0037863143,0.0027396507,0.20933898],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991732,0.00022246002,0.00008477284,0.00014227723,0.00033066695,0.00004652794],"domain_scores_gemma":[0.9990307,0.0004726876,0.000039121885,0.00020277953,0.00020050578,0.000054233682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019699258,0.0009381844,0.0007724366,0.002833707,0.00106981,0.0069629713,0.0020105746,0.002089464,0.010180767],"category_scores_gemma":[0.0031421175,0.00072697125,0.0010366822,0.0059678,0.0024829463,0.0187736,0.0027128018,0.0035408274,0.006171875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011242887,0.000041959207,0.000097087504,0.00035669308,0.0000127316725,0.000073059266,0.0005603847,0.00071442575,0.00066951395,0.7583514,0.058617685,0.1804938],"study_design_scores_gemma":[0.0000037618252,0.0000044737367,0.000083265884,0.0003842681,0.000011049408,0.00022911867,0.00017921427,0.0021261307,0.00047633104,0.32265666,0.6738346,0.000011160108],"about_ca_topic_score_codex":0.0030167415,"about_ca_topic_score_gemma":0.0038797983,"teacher_disagreement_score":0.010180767,"about_ca_system_score_codex":0.0022791764,"about_ca_system_score_gemma":0.0023311458,"threshold_uncertainty_score":0.034058094},"labels":[],"label_agreement":null},{"id":"W1674731675","doi":"10.1108/bepam-02-2014-0012","title":"An ontology-supported asset information integrator system in infrastructure management","year":2015,"lang":"en","type":"article","venue":"Built Environment Project and Asset Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Ontology; Asset (computer security); Knowledge management; Information system; Database transaction; Asset management; Database; Software engineering; Computer security; Engineering; Business","score_opus":0.014785901619107393,"score_gpt":0.24560615925495236,"score_spread":0.23082025763584496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674731675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07815666,0.00033786203,0.85518986,0.0014104872,0.00016797188,0.001767804,0.001040741,0.03768182,0.024246758],"genre_scores_gemma":[0.23667294,0.00031285884,0.7474199,0.00039432646,0.000048659927,0.00055824337,0.0026533722,0.0008553888,0.01108427],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975127,0.0006495043,0.000356479,0.00045144444,0.00085250963,0.00017733537],"domain_scores_gemma":[0.9950205,0.0013050196,0.00044664025,0.0015143878,0.0013108723,0.00040266264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057277097,0.0005457823,0.0005479993,0.002430441,0.00096557644,0.0045341104,0.0019856489,0.0012619188,0.004065498],"category_scores_gemma":[0.0094018625,0.00055282575,0.0008602759,0.0016865693,0.0007889858,0.0068421704,0.0038250631,0.0013397537,0.002129517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090822956,0.0019717081,0.027295021,0.0012856637,0.00033027897,0.0031602134,0.0155998925,0.014376357,0.06943545,0.123957224,0.031197188,0.71048284],"study_design_scores_gemma":[0.00026756537,0.0006151975,0.014675816,0.00086256326,0.00050816353,0.0025545207,0.0040432946,0.37353626,0.10654705,0.045554917,0.45039332,0.00044133255],"about_ca_topic_score_codex":0.0038004266,"about_ca_topic_score_gemma":0.0032818303,"teacher_disagreement_score":0.0057277097,"about_ca_system_score_codex":0.0015460809,"about_ca_system_score_gemma":0.003672352,"threshold_uncertainty_score":0.030291378},"labels":[],"label_agreement":null},{"id":"W167512791","doi":"10.1519/jsc.0b013e31822600c9","title":"A Description Logic of Change.","year":2006,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Undecidable problem; Computer science; Description logic; Dynamic logic (digital electronics); Modal logic; Decidability; Satisfiability; Linear temporal logic; Temporal logic; Multimodal logic; EXPTIME; Boolean satisfiability problem; Modal; Theoretical computer science; Artificial intelligence; Algorithm; Computational complexity theory","score_opus":0.3215270559872621,"score_gpt":0.33948767127185797,"score_spread":0.01796061528459586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W167512791","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002807497,0.015015295,0.03226451,0.11288999,0.033464957,0.00047111273,0.0017639297,0.001734004,0.7995887],"genre_scores_gemma":[0.126315,0.018393368,0.0597296,0.053262547,0.0131172165,0.001481459,0.003222551,0.0020556608,0.72242266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9940064,0.0029385597,0.00046088814,0.0008673705,0.001302555,0.00042406138],"domain_scores_gemma":[0.99333864,0.0017409218,0.00041792385,0.0015633095,0.0021477432,0.0007914972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060396222,0.0008631221,0.00051512354,0.002419819,0.002962178,0.009886458,0.0023630115,0.002864033,0.097596444],"category_scores_gemma":[0.015342553,0.0003787854,0.0007054819,0.0022880035,0.007260935,0.010945878,0.0060430067,0.004902723,0.047431797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080853264,0.000038045,0.00059749593,0.00029943007,0.000013668316,0.00023709312,0.0031905707,0.00012596244,0.00027644314,0.51336646,0.33624908,0.14552487],"study_design_scores_gemma":[0.000004625002,0.000012696306,0.00014548996,0.00020416695,0.0000032636863,0.00013724386,0.00081708573,0.00009611266,0.00006579703,0.030596038,0.9679078,0.000009700306],"about_ca_topic_score_codex":0.0040430436,"about_ca_topic_score_gemma":0.0044700284,"teacher_disagreement_score":0.097596444,"about_ca_system_score_codex":0.00423905,"about_ca_system_score_gemma":0.005175137,"threshold_uncertainty_score":0.3264926},"labels":[],"label_agreement":null},{"id":"W1683212044","doi":"10.7551/mitpress/4290.001.0001","title":"The Logic of Knowledge Bases","year":2001,"lang":"en","type":"book","venue":"The MIT Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Body of knowledge; Knowledge base; Computer science; Open Knowledge Base Connectivity; Knowledge representation and reasoning; Procedural knowledge; Knowledge-based systems; Descriptive knowledge; Predicate logic; Domain knowledge; Knowledge extraction; Argument (complex analysis); Commonsense knowledge; General knowledge; First-order logic; Artificial intelligence; Personal knowledge management; Knowledge management; Description logic; Programming language; Organizational learning; Psychology","score_opus":0.061372691505860236,"score_gpt":0.2723438598775051,"score_spread":0.21097116837164487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1683212044","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018949589,0.03960352,0.301978,0.01822818,0.0020760624,0.00018250303,0.001172733,0.0012196646,0.63364446],"genre_scores_gemma":[0.2152028,0.065786466,0.34414583,0.01605182,0.004189771,0.0016120306,0.0048013655,0.0013329859,0.34687686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960829,0.0011911895,0.00034838694,0.0006128009,0.0014976942,0.00026701845],"domain_scores_gemma":[0.9971957,0.0014394915,0.00013798027,0.00053295994,0.00058220234,0.000111529785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029746126,0.001099696,0.000992668,0.0034120996,0.003260267,0.0119097065,0.0025372477,0.0024976686,0.015291413],"category_scores_gemma":[0.00645298,0.0011668857,0.0012912276,0.00459582,0.010905886,0.01894605,0.004672603,0.005461561,0.007229837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036149058,0.0000029696182,0.000013966941,0.000062368454,0.000004841658,0.0000260847,0.00018441118,0.0002802955,0.000042964995,0.9820794,0.0077738967,0.0095251715],"study_design_scores_gemma":[0.0000054317256,0.0000028409836,0.00002025027,0.000119007804,0.0000053286535,0.000055576274,0.00008382569,0.0008443469,0.00010320318,0.7862802,0.21247317,0.0000068926597],"about_ca_topic_score_codex":0.005707498,"about_ca_topic_score_gemma":0.003329392,"teacher_disagreement_score":0.015291413,"about_ca_system_score_codex":0.0053944318,"about_ca_system_score_gemma":0.0039097783,"threshold_uncertainty_score":0.05115491},"labels":[],"label_agreement":null},{"id":"W169948045","doi":"","title":"Der Schnee von morgen. Søren Brier schickt den Informationsbegriff in die semiotische Schmelze. Rezension zu: Søren Brier (2008): Cybersemiotics. Why information is not enough! Toronto: Univ. of Toronto Press (Toronto studies in semiotics and communication), 544 pp, $ 85,00 , ISBN: 0802092209","year":2009,"lang":"de","type":"article","venue":"Library ideas","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.0214547779622832,"score_gpt":0.2689717136469121,"score_spread":0.24751693568462887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W169948045","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033912081,0.4146453,0.013127374,0.24931385,0.04358347,0.000051951007,0.0010865239,0.000863167,0.27393723],"genre_scores_gemma":[0.1056883,0.15949772,0.009192806,0.054248586,0.008357697,0.0001313739,0.00062887714,0.0019749491,0.66027975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99674773,0.001148672,0.00012994943,0.00062337314,0.0010991921,0.0002509544],"domain_scores_gemma":[0.99799407,0.0010182955,0.00014891324,0.00015412983,0.00041002568,0.00027466632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024274949,0.0013972045,0.0009579696,0.0014625618,0.0039174166,0.005119076,0.0007014487,0.004065426,0.040239193],"category_scores_gemma":[0.007487396,0.0008786124,0.0006755647,0.0014139796,0.0046988446,0.0085806,0.004907019,0.0077750385,0.027126648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001264436,0.000028660408,0.00021534065,0.0004504602,0.000021157584,0.0003130257,0.0036391143,0.00020623139,0.00083241664,0.12645188,0.7645643,0.10315093],"study_design_scores_gemma":[0.0000045892366,0.000010034919,0.00011754682,0.0002616405,0.0000035496134,0.00020375436,0.0005804613,0.00006057559,0.00038338988,0.012644944,0.9857158,0.000013703922],"about_ca_topic_score_codex":0.010768159,"about_ca_topic_score_gemma":0.017616922,"teacher_disagreement_score":0.040239193,"about_ca_system_score_codex":0.003515233,"about_ca_system_score_gemma":0.0035911878,"threshold_uncertainty_score":0.13461351},"labels":[],"label_agreement":null},{"id":"W1739211641","doi":"","title":"Building semantic mappings from databases to ontologies","year":2006,"lang":"en","type":"article","venue":"Institutional Research Information System (Università degli Studi di Trento)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Information retrieval; Ontology; Ontology-based data integration; Schema (genetic algorithms); Description logic; Upper ontology; Database schema; Semantic Web; Programming language; Database design","score_opus":0.09001390524409186,"score_gpt":0.32534893923179564,"score_spread":0.23533503398770378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1739211641","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077275853,0.0006937554,0.98081607,0.0013501566,0.0001572737,0.0002579971,0.0005871671,0.0017812314,0.0066287457],"genre_scores_gemma":[0.07652993,0.0017987861,0.91613126,0.0005530365,0.000071260634,0.00044442882,0.0020635165,0.00034915184,0.0020586771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929872,0.003650991,0.0007650546,0.00085011666,0.0015103236,0.00023627777],"domain_scores_gemma":[0.9916596,0.004185281,0.0003459047,0.0023392641,0.001262698,0.00020731958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008308629,0.0009578591,0.0008342381,0.0060114916,0.0020249197,0.005597556,0.0022608861,0.001505155,0.004007696],"category_scores_gemma":[0.023563666,0.0014105183,0.0021589252,0.0044816337,0.0026913083,0.018080609,0.009433616,0.003001776,0.0015187286],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008619562,0.0001734722,0.0015066878,0.00054008176,0.00019974129,0.00060331204,0.0030380199,0.014433774,0.0024026502,0.6822344,0.016931571,0.2778501],"study_design_scores_gemma":[0.00003285849,0.000041373114,0.00032911776,0.0003042717,0.000067846755,0.00028514417,0.0013350974,0.059383016,0.0048999065,0.816462,0.11681658,0.000042731896],"about_ca_topic_score_codex":0.002834901,"about_ca_topic_score_gemma":0.0031588732,"teacher_disagreement_score":0.008308629,"about_ca_system_score_codex":0.0014007564,"about_ca_system_score_gemma":0.0024765816,"threshold_uncertainty_score":0.043940783},"labels":[],"label_agreement":null},{"id":"W174939126","doi":"","title":"A framework for analyzing changes in health care lexicons and nomenclatures","year":2010,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Rotation formalisms in three dimensions; Computer science; Open Biomedical Ontologies; Domain (mathematical analysis); IDEF5; Notation; Data science; Domain knowledge; Knowledge representation and reasoning; Process ontology; Process (computing); Knowledge management; Artificial intelligence; Ontology alignment; Epistemology; Mathematics","score_opus":0.03351364123017803,"score_gpt":0.32856888156228176,"score_spread":0.29505524033210373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W174939126","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029587082,0.0005417534,0.9780897,0.0015029452,0.00015371607,0.000351368,0.0012713238,0.001954991,0.013175453],"genre_scores_gemma":[0.039519973,0.00038369058,0.9538391,0.00025411724,0.0001057577,0.00042126403,0.0020601505,0.00024193825,0.003173951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99194735,0.0026763782,0.0011227132,0.0020252487,0.0017753469,0.00045292312],"domain_scores_gemma":[0.988957,0.004217077,0.0014808478,0.0027318203,0.0021361234,0.0004771734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011624368,0.0009993445,0.00093199336,0.0137482295,0.0030034918,0.009892518,0.0042291027,0.0028204138,0.009222258],"category_scores_gemma":[0.024044134,0.0010873631,0.0038356527,0.009567443,0.005192818,0.016538171,0.0053975,0.0029393744,0.0031665857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030017663,0.00004259118,0.0011958048,0.00011104266,0.000048013586,0.00030724725,0.0014442735,0.0076678614,0.000920282,0.9187063,0.0055915792,0.06393498],"study_design_scores_gemma":[0.000028491919,0.000046617002,0.0012559253,0.0002204699,0.00009477031,0.00057925045,0.0013915296,0.08962228,0.0013386133,0.6917812,0.21354955,0.00009135256],"about_ca_topic_score_codex":0.02693496,"about_ca_topic_score_gemma":0.01574837,"teacher_disagreement_score":0.02693496,"about_ca_system_score_codex":0.0053365743,"about_ca_system_score_gemma":0.00685305,"threshold_uncertainty_score":0.06147623},"labels":[],"label_agreement":null},{"id":"W1752956309","doi":"10.22230/src.2014v5n3a175","title":"Knowledge Translation and Strategic Communications: Unpacking Differences and Similarities for Scholarly and Research Communications","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; York University; University of Toronto","funders":"","keywords":"Humanities; CLARITY; Political science; Sociology; Philosophy","score_opus":0.507873489414358,"score_gpt":0.46382892329704906,"score_spread":0.04404456611730889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1752956309","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3269017,0.025315374,0.16510242,0.07863986,0.0023536903,0.00076400244,0.0003442261,0.0003110859,0.40026766],"genre_scores_gemma":[0.96619105,0.0031166025,0.022952374,0.0016910724,0.00041854064,0.0005068067,0.00012778287,0.00012299969,0.0048728175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.87341267,0.09659255,0.0064745736,0.0070482227,0.012978912,0.0034931384],"domain_scores_gemma":[0.80040044,0.14841972,0.013714479,0.018401166,0.014195703,0.004868522],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.06344141,0.00078446895,0.0011015492,0.012847487,0.008911894,0.026029564,0.0024981438,0.0034736209,0.0043965024],"category_scores_gemma":[0.12224135,0.00075849734,0.0007630451,0.012412638,0.04921888,0.038246516,0.01855173,0.005633905,0.00070262596],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091358335,0.00003314458,0.007178198,0.0006674858,0.000045681503,0.000323277,0.40664166,0.00025610768,0.0007302798,0.52874464,0.0011372359,0.054150943],"study_design_scores_gemma":[0.000031896812,0.00012235218,0.009883655,0.001612431,0.000072977586,0.0006250244,0.32620817,0.0013862593,0.0007781166,0.5432169,0.11596096,0.00010130794],"about_ca_topic_score_codex":0.004529868,"about_ca_topic_score_gemma":0.0040936493,"teacher_disagreement_score":0.9739704,"about_ca_system_score_codex":0.0124336,"about_ca_system_score_gemma":0.01376327,"threshold_uncertainty_score":0.33551425},"labels":[],"label_agreement":null},{"id":"W1758103477","doi":"10.3233/mgs-2008-4304","title":"Special Section on Engineering Semantic Agent Systems","year":2008,"lang":"en","type":"article","venue":"Multiagent and Grid Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Section (typography); Special section; Software engineering; Engineering; Operating system; Engineering physics","score_opus":0.032573055082996134,"score_gpt":0.21570914416993447,"score_spread":0.18313608908693835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1758103477","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019325158,0.09211054,0.034846652,0.060061585,0.5475449,0.00008267482,0.00038637253,0.00044006342,0.26259476],"genre_scores_gemma":[0.032052528,0.07467729,0.008479193,0.012125347,0.4223262,0.00022048196,0.0008046902,0.0008144253,0.44849974],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988342,0.00032100303,0.00009305328,0.00027797962,0.0003715593,0.0001021811],"domain_scores_gemma":[0.99817514,0.0009436459,0.00008554991,0.00024405697,0.00038617058,0.00016550692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014790158,0.0015287705,0.0017511061,0.0027437208,0.0017634295,0.0033050713,0.0011337958,0.002921888,0.040292494],"category_scores_gemma":[0.0028966267,0.00047211174,0.0013517528,0.002597777,0.0016777848,0.0046543544,0.0018992245,0.0036633308,0.010137792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004264032,0.00005989657,0.000145344,0.00048333648,0.000037446658,0.00019872138,0.00007965122,0.0006531629,0.00040511758,0.14107546,0.7984014,0.05841783],"study_design_scores_gemma":[0.000010919816,0.000033954635,0.00027406754,0.00017704534,0.000023960138,0.00029869663,0.000041912022,0.00086895673,0.00022071987,0.07324382,0.9247934,0.000012548487],"about_ca_topic_score_codex":0.0005949419,"about_ca_topic_score_gemma":0.0012020419,"teacher_disagreement_score":0.040292494,"about_ca_system_score_codex":0.0018299051,"about_ca_system_score_gemma":0.00094502955,"threshold_uncertainty_score":0.13479185},"labels":[],"label_agreement":null},{"id":"W176591610","doi":"10.1007/978-3-642-39617-5_3","title":"Ontology Repositories Make a World of Difference","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Interoperability; Reusability; IDEF5; Ontology components; Web Ontology Language; Upper ontology; Ontology language; Description logic; Process ontology; Open Biomedical Ontologies; Knowledge representation and reasoning; Software engineering; Ontology-based data integration; Representation (politics); Software; Information retrieval; World Wide Web; Semantic Web; Programming language; Ontology alignment; Artificial intelligence","score_opus":0.019404081602527278,"score_gpt":0.24157675978899948,"score_spread":0.2221726781864722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W176591610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010206959,0.026717449,0.48408583,0.13603331,0.0070876493,0.00009841821,0.00092984264,0.0031778608,0.3316627],"genre_scores_gemma":[0.29075694,0.04468543,0.44609126,0.034429185,0.00611486,0.00044051625,0.0038842105,0.005601051,0.16799657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926795,0.0031223383,0.0005195516,0.00072366046,0.0025436534,0.00041142234],"domain_scores_gemma":[0.9844796,0.006515746,0.00053992606,0.0059181564,0.0017450314,0.00080155436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012654471,0.0008563615,0.0011281779,0.0047400906,0.0033144355,0.022698514,0.0031888508,0.005578433,0.012761525],"category_scores_gemma":[0.018999416,0.0011391176,0.0010909998,0.0057168333,0.012214602,0.096515276,0.013744655,0.009632233,0.007271846],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019425406,0.000018199018,0.00013926956,0.00010047965,0.000021360978,0.00005954494,0.0013161757,0.00030395662,0.00030370918,0.93225694,0.019042097,0.04641886],"study_design_scores_gemma":[0.00000864871,0.000007949933,0.00008161743,0.00026820306,0.000018183926,0.00014345221,0.0009828474,0.00070372585,0.0003812167,0.6081129,0.38927087,0.000020360834],"about_ca_topic_score_codex":0.0017157977,"about_ca_topic_score_gemma":0.0019724774,"teacher_disagreement_score":0.022698514,"about_ca_system_score_codex":0.0018716609,"about_ca_system_score_gemma":0.0039086756,"threshold_uncertainty_score":0.066924036},"labels":[],"label_agreement":null},{"id":"W177140808","doi":"","title":"Proceedings of the sixteenth ACM conference on Hypertext and hypermedia","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hypertext; Hypermedia; Theme (computing); Computer science; World Wide Web","score_opus":0.0292247606953648,"score_gpt":0.2354316839015107,"score_spread":0.2062069232061459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W177140808","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010899464,0.13200343,0.1294306,0.030045249,0.09141976,0.0019837855,0.007826239,0.008474469,0.58791703],"genre_scores_gemma":[0.03067337,0.08145961,0.047230743,0.008293786,0.012033382,0.0013956166,0.018023921,0.002317146,0.79857236],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99521095,0.0018205711,0.00051838247,0.00070538983,0.0014296669,0.000315123],"domain_scores_gemma":[0.992428,0.0027328464,0.00039395003,0.0011916144,0.0018707479,0.0013828104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040899687,0.0015154248,0.002333276,0.002503125,0.0015809594,0.011400806,0.0022096564,0.0033080915,0.20215875],"category_scores_gemma":[0.010671977,0.0007371911,0.0012105872,0.0033764087,0.0025016884,0.008885768,0.00491045,0.005048345,0.12540904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025759483,0.00016757316,0.0012306296,0.0010681327,0.00017466395,0.00038610087,0.00080077676,0.00041187016,0.0036483326,0.01599384,0.6859439,0.2899166],"study_design_scores_gemma":[0.0000146978,0.000033188186,0.00049803575,0.00027517448,0.000029004863,0.00017785977,0.00013484097,0.00048332362,0.00027813605,0.0030808016,0.99497604,0.000018937559],"about_ca_topic_score_codex":0.0031044376,"about_ca_topic_score_gemma":0.0024977054,"teacher_disagreement_score":0.20215875,"about_ca_system_score_codex":0.0013818744,"about_ca_system_score_gemma":0.003765759,"threshold_uncertainty_score":0.67628837},"labels":[],"label_agreement":null},{"id":"W1786535492","doi":"10.14778/2824032.2824111","title":"Gain control over your integration evaluations","year":2015,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data integration; Generality; Scalability; Information integration; Schema (genetic algorithms); System integration; Metadata; Reuse; Schema evolution; Data mining; Information retrieval; Database schema; Database; World Wide Web; Database design","score_opus":0.056228122232949214,"score_gpt":0.30801182340339606,"score_spread":0.25178370117044685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1786535492","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075501926,0.0022843038,0.71824515,0.021824123,0.0030698897,0.0019461545,0.002752355,0.040869787,0.13350628],"genre_scores_gemma":[0.6144798,0.0005733819,0.33437303,0.00552293,0.0012503166,0.0026911558,0.0025671278,0.018992985,0.019549279],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.8949157,0.055318765,0.0068593114,0.012774334,0.027001645,0.0031302613],"domain_scores_gemma":[0.627287,0.18423232,0.011584573,0.1190653,0.051128108,0.006702751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10638132,0.0025205356,0.002459399,0.0029746238,0.0017481452,0.012176208,0.0035528166,0.003157414,0.023019178],"category_scores_gemma":[0.47708917,0.0014017867,0.0011883507,0.0026558482,0.0024422677,0.018815063,0.010255502,0.006465422,0.011669663],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003019834,0.00074845634,0.0134849185,0.00084860926,0.00039927984,0.00034764255,0.0019946753,0.013315176,0.0104397405,0.103384264,0.12835647,0.723661],"study_design_scores_gemma":[0.0015869576,0.00092455605,0.0115912,0.0015466665,0.00045891092,0.00070285355,0.002129319,0.314061,0.045361947,0.3192088,0.30188146,0.00054629816],"about_ca_topic_score_codex":0.0013333053,"about_ca_topic_score_gemma":0.001436534,"teacher_disagreement_score":0.10638132,"about_ca_system_score_codex":0.002603085,"about_ca_system_score_gemma":0.0034402006,"threshold_uncertainty_score":0.5626049},"labels":[],"label_agreement":null},{"id":"W1788428571","doi":"","title":"Ontology Engineering for Product Development.","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Ontology; Inference; Software engineering; Product (mathematics); New product development; Knowledge management; Data science; Artificial intelligence","score_opus":0.02032860048698209,"score_gpt":0.25093177735000965,"score_spread":0.23060317686302756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1788428571","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046838163,0.021697067,0.80733067,0.00860584,0.00108778,0.00025950087,0.0013121669,0.0010613566,0.1539618],"genre_scores_gemma":[0.1398197,0.025781095,0.75463337,0.0016694487,0.00040050547,0.00062098034,0.004061037,0.00040544977,0.072608426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99830437,0.0005250426,0.000176029,0.00020858795,0.0006971437,0.00008881455],"domain_scores_gemma":[0.99906105,0.00027731108,0.000107679254,0.00025112246,0.00024480716,0.000058059468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021751577,0.0007237025,0.0005888321,0.0025450422,0.0011877093,0.003887461,0.0011837725,0.0012303689,0.0078040026],"category_scores_gemma":[0.0030622664,0.0004886022,0.0011447154,0.0033461414,0.0016675243,0.0048499135,0.0028357303,0.0019422049,0.003408278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012793006,0.000035594163,0.0003218081,0.0003732964,0.000031441858,0.00019931141,0.00028943468,0.0028676959,0.0006740606,0.87720335,0.013012599,0.10497864],"study_design_scores_gemma":[0.000009645799,0.000013495084,0.00030055715,0.00039819314,0.000026912583,0.00036621784,0.00035082875,0.016132748,0.00091645966,0.5824879,0.39897868,0.000018401053],"about_ca_topic_score_codex":0.005893002,"about_ca_topic_score_gemma":0.0056795836,"teacher_disagreement_score":0.0078040026,"about_ca_system_score_codex":0.0026097454,"about_ca_system_score_gemma":0.0024392202,"threshold_uncertainty_score":0.026107013},"labels":[],"label_agreement":null},{"id":"W179265432","doi":"","title":"Informational equivalence, computational equivalence, and the evaluation of conceptual modelling","year":2007,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scripting language; Equivalence (formal languages); Computer science; Semantics (computer science); Rule-based machine translation; Programming language; Natural language processing; Mathematics","score_opus":0.033306180270120396,"score_gpt":0.2386545548075178,"score_spread":0.2053483745373974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W179265432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2644107,0.005304729,0.51421607,0.014781642,0.0004710548,0.0016914349,0.0011473633,0.00043889094,0.19753806],"genre_scores_gemma":[0.9162051,0.00054251956,0.07946825,0.00053727854,0.00013854998,0.0016463639,0.00059331337,0.00013134547,0.0007372428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.71624047,0.22311316,0.01378407,0.010019524,0.034243412,0.0025993527],"domain_scores_gemma":[0.4413982,0.47077543,0.021563217,0.043546766,0.019947655,0.0027687307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.13802616,0.0015134823,0.0026526772,0.012442457,0.0042155623,0.0146111585,0.005193998,0.0044331965,0.008615784],"category_scores_gemma":[0.5162961,0.0010213401,0.0026156763,0.010335452,0.037274245,0.042417064,0.014517441,0.005562788,0.00047595432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027844403,0.0001831992,0.0048241,0.00066729804,0.00021471678,0.00010930345,0.0054993792,0.0055224802,0.0002712973,0.955973,0.000740779,0.02571599],"study_design_scores_gemma":[0.00006212021,0.00010913474,0.0030617504,0.00026551186,0.000052262192,0.00010159,0.0021583799,0.0114378445,0.00050984474,0.9788553,0.0033218083,0.0000644234],"about_ca_topic_score_codex":0.0032396966,"about_ca_topic_score_gemma":0.001593598,"teacher_disagreement_score":0.13802616,"about_ca_system_score_codex":0.011567763,"about_ca_system_score_gemma":0.0056629577,"threshold_uncertainty_score":0.7299608},"labels":[],"label_agreement":null},{"id":"W1795525306","doi":"10.1609/aimag.v34i4.2511","title":"The AAAI‐13 Conference Workshops","year":2013,"lang":"en","type":"article","venue":"AI Magazine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Artificial intelligence; Context (archaeology); Computer science; Personalization; Robotics; Applications of artificial intelligence; Artificial intelligence, situated approach; World Wide Web; Robot","score_opus":0.01623930375217324,"score_gpt":0.23983989590760016,"score_spread":0.2236005921554269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1795525306","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061258455,0.025301171,0.06812926,0.07217998,0.1508618,0.00093239907,0.009803755,0.008393921,0.65827185],"genre_scores_gemma":[0.023001079,0.020035706,0.049567185,0.009429862,0.014800067,0.0006754657,0.02877924,0.0018110907,0.8519004],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99626786,0.00060489506,0.00031256874,0.0005215752,0.0019138785,0.00037923988],"domain_scores_gemma":[0.9929073,0.00064634875,0.00019279438,0.0010106436,0.003677055,0.0015657609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007277969,0.0016085368,0.001298455,0.0025615848,0.0023606082,0.008584434,0.003251723,0.0035191837,0.14825347],"category_scores_gemma":[0.009005748,0.000741672,0.0015016678,0.002466279,0.0007876607,0.007894278,0.004032671,0.004114595,0.11038291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007825076,0.00014402859,0.0002781696,0.000096965676,0.000016530377,0.00007069812,0.00005749998,0.00021025738,0.00043448486,0.0037099293,0.9057257,0.08917744],"study_design_scores_gemma":[0.000013566257,0.000016314974,0.0003857102,0.00008348229,0.00001229252,0.00006940543,0.000121854944,0.00083434867,0.0003025745,0.0032638512,0.9948795,0.000017193963],"about_ca_topic_score_codex":0.007307761,"about_ca_topic_score_gemma":0.017184993,"teacher_disagreement_score":0.14825347,"about_ca_system_score_codex":0.0024345117,"about_ca_system_score_gemma":0.0049526314,"threshold_uncertainty_score":0.49595726},"labels":[],"label_agreement":null},{"id":"W1797377916","doi":"","title":"An experimental examination of property precedence in conceptual modelling","year":2004,"lang":"en","type":"article","venue":"Asia-Pacific Conference on Conceptual Modelling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Semantics (computer science); Ontology; Unified Modeling Language; Schema (genetic algorithms); Conceptual schema; Conceptual model; Property (philosophy); Domain (mathematical analysis); Theoretical computer science; Programming language; Information retrieval; Mathematics; Linguistics; Epistemology; Software","score_opus":0.10387247038912512,"score_gpt":0.28591036043516194,"score_spread":0.18203789004603682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1797377916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8917852,0.00025942587,0.09327016,0.0008542162,0.0002104691,0.0017853441,0.0003743868,0.00042648253,0.011034273],"genre_scores_gemma":[0.9048245,0.00020560648,0.08719232,0.00038226228,0.00007830826,0.0042892895,0.0003905102,0.0002009421,0.0024362865],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.976674,0.013695845,0.0023182314,0.0032344458,0.003484089,0.00059341826],"domain_scores_gemma":[0.7289807,0.22630702,0.011325797,0.024424803,0.0075311176,0.0014305635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020997541,0.00091064203,0.0006857292,0.0007028841,0.00140626,0.0026483838,0.00186293,0.0024183034,0.008524633],"category_scores_gemma":[0.17152265,0.0007720021,0.0006707426,0.0009389379,0.0040258532,0.006289273,0.0037213461,0.003105775,0.00068030466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016237294,0.045084875,0.03101869,0.004836146,0.00038167508,0.0010938058,0.061595466,0.027293362,0.34428784,0.20722438,0.004433115,0.25651333],"study_design_scores_gemma":[0.0077542686,0.079618245,0.039489385,0.0011085472,0.0008406473,0.001794594,0.012888144,0.12425531,0.40846315,0.2573087,0.06567886,0.0008002434],"about_ca_topic_score_codex":0.00066159497,"about_ca_topic_score_gemma":0.0005281488,"teacher_disagreement_score":0.020997541,"about_ca_system_score_codex":0.00133673,"about_ca_system_score_gemma":0.0011551693,"threshold_uncertainty_score":0.11104691},"labels":[],"label_agreement":null},{"id":"W1801770420","doi":"10.1007/978-3-211-69566-1_36","title":"Annotating Accommodation Advertisements Using CERNO","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Queen's University","funders":"","keywords":"Computer science; Annotation; World Wide Web; Tourism; Accommodation; Schema (genetic algorithms); Process (computing); Semantic Web; Information retrieval; Artificial intelligence; Geography","score_opus":0.11927291148367983,"score_gpt":0.3186326154300284,"score_spread":0.19935970394634858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1801770420","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019766374,0.0031867824,0.71290886,0.0017974157,0.001394479,0.00041097504,0.008965395,0.015026696,0.23654306],"genre_scores_gemma":[0.10495665,0.004277782,0.72689503,0.00093538273,0.00029481782,0.00025355112,0.029507028,0.0057006497,0.12717906],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988493,0.00028864585,0.000091273985,0.00024492104,0.0004298978,0.00009600654],"domain_scores_gemma":[0.99808407,0.0006675041,0.00011088684,0.00049011403,0.00059718615,0.000050309198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014655251,0.0009648504,0.00075727847,0.0040580076,0.0017508083,0.003766185,0.0011657337,0.0012661375,0.014457116],"category_scores_gemma":[0.0051918477,0.00073434226,0.0010691208,0.004979325,0.000857584,0.0055764387,0.0022134674,0.0013786986,0.0101414155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016047305,0.00014906639,0.0034697023,0.0012249572,0.00007151152,0.0007444252,0.0024394344,0.008057458,0.008219175,0.115642466,0.14051446,0.71930677],"study_design_scores_gemma":[0.000013224309,0.000022682882,0.0022002477,0.0005219404,0.000112092224,0.0008975528,0.0015577984,0.04505436,0.012898053,0.0752947,0.86133164,0.000095681724],"about_ca_topic_score_codex":0.013296146,"about_ca_topic_score_gemma":0.027390834,"teacher_disagreement_score":0.014457116,"about_ca_system_score_codex":0.0012658281,"about_ca_system_score_gemma":0.0018448901,"threshold_uncertainty_score":0.048363864},"labels":[],"label_agreement":null},{"id":"W1802206596","doi":"","title":"OLA in the OAEI 2005 alignment contest","year":2005,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"CONTEST; Computer science; Political science","score_opus":0.019435073795056323,"score_gpt":0.23815690052713695,"score_spread":0.21872182673208063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1802206596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29363936,0.013116648,0.2586605,0.07572504,0.01396723,0.0010896979,0.031301215,0.036638286,0.27586213],"genre_scores_gemma":[0.56295514,0.002461296,0.2192513,0.007893141,0.0016144245,0.0005994982,0.11689455,0.01428431,0.07404632],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9908687,0.004044459,0.000583255,0.0012412119,0.0018750796,0.0013873373],"domain_scores_gemma":[0.9888342,0.003606272,0.00041114478,0.0021703476,0.003493912,0.0014840497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011726163,0.0011433809,0.0015652926,0.00200547,0.0049054944,0.006821212,0.0022286165,0.0028351666,0.01927114],"category_scores_gemma":[0.019327048,0.00057991897,0.0007458168,0.0043748016,0.0012701971,0.007809856,0.0049948823,0.0033612908,0.008434577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029210811,0.0008249076,0.0037436187,0.00095341995,0.00013242019,0.0008881369,0.0026423114,0.0077854358,0.007189592,0.106538504,0.60190403,0.2644765],"study_design_scores_gemma":[0.000512872,0.0002252802,0.004099665,0.00032739085,0.00009697417,0.00046850843,0.005903771,0.037948232,0.0118424455,0.06831247,0.8701543,0.000108055465],"about_ca_topic_score_codex":0.014745334,"about_ca_topic_score_gemma":0.029345963,"teacher_disagreement_score":0.01927114,"about_ca_system_score_codex":0.0023414998,"about_ca_system_score_gemma":0.005501763,"threshold_uncertainty_score":0.064468384},"labels":[],"label_agreement":null},{"id":"W1807037522","doi":"10.1007/978-3-319-25518-7_11","title":"Automatic Construction of a Semantic Knowledge Base from CEUR Workshop Proceedings","year":2015,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; SPARQL; Information retrieval; Entity linking; Workflow; Linked data; Pipeline (software); RDF; Task (project management); Knowledge base; Leverage (statistics); Information extraction; Scalability; Named-entity recognition; Context (archaeology); Semantic Web; World Wide Web; Natural language processing; Database; Artificial intelligence; Programming language","score_opus":0.06899268990246396,"score_gpt":0.3059474681829819,"score_spread":0.23695477828051795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1807037522","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06810948,0.0036741518,0.7918256,0.0015631662,0.0013177805,0.00081312045,0.028964538,0.03152492,0.072207175],"genre_scores_gemma":[0.18534635,0.0021084356,0.7316987,0.00031647307,0.00018264966,0.0005197818,0.053677883,0.0027107624,0.023438979],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877125,0.00018840692,0.00012247344,0.00027693258,0.0005220122,0.00011886676],"domain_scores_gemma":[0.99842274,0.00036163125,0.000054008273,0.00027948865,0.0008278292,0.000054306645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011739486,0.0012549799,0.000981985,0.007200599,0.0014682036,0.002891339,0.0017791587,0.0010139231,0.011788286],"category_scores_gemma":[0.0049040606,0.0006775238,0.001124496,0.0041163634,0.0004951377,0.00359166,0.0021568893,0.0010420574,0.0073409015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045920597,0.00033687858,0.0017832589,0.0010234994,0.00012160485,0.0013702326,0.00083217263,0.008257202,0.03357834,0.030061498,0.11074526,0.8114309],"study_design_scores_gemma":[0.00011794575,0.00015651941,0.0062131863,0.0008169712,0.0005661309,0.0015036592,0.0018571299,0.20472047,0.12528796,0.05043806,0.6080704,0.00025156984],"about_ca_topic_score_codex":0.011635884,"about_ca_topic_score_gemma":0.015784316,"teacher_disagreement_score":0.011788286,"about_ca_system_score_codex":0.0010448328,"about_ca_system_score_gemma":0.002864688,"threshold_uncertainty_score":0.039435744},"labels":[],"label_agreement":null},{"id":"W1813038947","doi":"10.22230/src.2015v6n2a218","title":"Linked Metadata and New Discoveries","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Metadata; Cultural heritage; Linked data; Semantic Web; World Wide Web; Context (archaeology); Focus (optics); Computer science; Data science; Geography; Archaeology","score_opus":0.3198222533634779,"score_gpt":0.4108044448897964,"score_spread":0.09098219152631848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1813038947","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013512677,0.113624595,0.1760997,0.2394343,0.01012186,0.000137234,0.0014258673,0.001254582,0.44438925],"genre_scores_gemma":[0.44266757,0.15910858,0.22420329,0.033278428,0.024343755,0.0006482412,0.0032782836,0.0009739113,0.11149795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99151164,0.0036716852,0.00047154137,0.0011802174,0.0027804668,0.00038452994],"domain_scores_gemma":[0.97615767,0.013471648,0.0010715785,0.0067124306,0.0017278729,0.00085885514],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.015280108,0.0005507573,0.0009286012,0.0066655744,0.0043529295,0.018128522,0.0021716529,0.004345944,0.013842542],"category_scores_gemma":[0.025443727,0.0006325859,0.000804948,0.0066349097,0.025319705,0.042961042,0.011849731,0.0058789058,0.0024795802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007801266,0.000008780397,0.0001519773,0.0000936264,0.000010230736,0.00009260704,0.0011672938,0.0001742666,0.00005952749,0.9701028,0.007682513,0.020448528],"study_design_scores_gemma":[0.000005191553,0.0000044972103,0.00007545576,0.0001916063,0.0000060801012,0.0001351677,0.00070360216,0.000294257,0.000094482835,0.7955397,0.20293708,0.000013000406],"about_ca_topic_score_codex":0.0023495192,"about_ca_topic_score_gemma":0.002332548,"teacher_disagreement_score":0.9818715,"about_ca_system_score_codex":0.0035803297,"about_ca_system_score_gemma":0.004179153,"threshold_uncertainty_score":0.08080995},"labels":[],"label_agreement":null},{"id":"W1815551855","doi":"10.1007/978-1-4419-7335-1_10","title":"Information Pre-Processing using Domain Meta-Ontology and Rule Learning System","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ontology; Computer science; Domain (mathematical analysis); Semantics (computer science); Focus (optics); Information retrieval; Ontology learning; Upper ontology; Process ontology; Domain engineering; Process (computing); Data science; World Wide Web; Suggested Upper Merged Ontology; Semantic Web; Programming language; Software development","score_opus":0.029120909514035682,"score_gpt":0.24273205331862407,"score_spread":0.2136111438045884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1815551855","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014039813,0.0011226779,0.96014243,0.0003488983,0.00019855185,0.0004566847,0.0012843291,0.00949268,0.0129139],"genre_scores_gemma":[0.07819451,0.0014896495,0.902296,0.00022427694,0.00007936395,0.00021073129,0.0049544205,0.000357203,0.01219385],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992151,0.000068928115,0.00012707851,0.00020779164,0.000324807,0.00005626789],"domain_scores_gemma":[0.99895966,0.00032181767,0.00004443115,0.00027894857,0.00036712934,0.000028027132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096984394,0.0007116626,0.0013279016,0.0035377333,0.0009182373,0.0025375807,0.0018174908,0.00063916825,0.005699732],"category_scores_gemma":[0.0022340838,0.0004348278,0.001922705,0.0031797844,0.0004847985,0.0026986585,0.0010398661,0.0015264701,0.0034991698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012326502,0.00026230587,0.001374504,0.00043675624,0.00011948862,0.00038993926,0.00019777541,0.007276262,0.02004499,0.01610558,0.014115204,0.9395539],"study_design_scores_gemma":[0.00006590125,0.00021682607,0.0055657243,0.00047804814,0.0009937302,0.0018457443,0.00069930195,0.41865632,0.28342775,0.10387153,0.18396711,0.00021205674],"about_ca_topic_score_codex":0.006299482,"about_ca_topic_score_gemma":0.005430344,"teacher_disagreement_score":0.006299482,"about_ca_system_score_codex":0.0007132402,"about_ca_system_score_gemma":0.0018661434,"threshold_uncertainty_score":0.019067466},"labels":[],"label_agreement":null},{"id":"W1817956424","doi":"","title":"Processing SPARQL Queries Over Linked Data-A Distributed Graph-based Approach.","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; RDF; Computer science; Scalability; Graph; Benchmark (surveying); Named graph; Graph database; Linked data; Information retrieval; RDF Schema; Theoretical computer science; Data mining; Database; Semantic Web","score_opus":0.048737082310937714,"score_gpt":0.27064170840697177,"score_spread":0.22190462609603406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1817956424","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058177314,0.0002926137,0.9873667,0.0004383575,0.000047018155,0.0002370022,0.00030298243,0.0041097826,0.0013879414],"genre_scores_gemma":[0.13897386,0.0004105614,0.8539965,0.00033970198,0.00010682766,0.00029897137,0.0027056914,0.00050787773,0.00266005],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99652123,0.0009732598,0.00024626573,0.0007544245,0.0013090406,0.0001958756],"domain_scores_gemma":[0.99464864,0.0020974115,0.00035473536,0.0019067369,0.00082529,0.00016715309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002613632,0.0010347259,0.0010157045,0.0022869958,0.001371718,0.002839716,0.0030256566,0.0015025008,0.0027591754],"category_scores_gemma":[0.007100633,0.0006387749,0.0016316692,0.0033183487,0.0010402228,0.0059999567,0.0031186931,0.0016938451,0.0010897409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062472036,0.0007667429,0.0055359383,0.0011409454,0.0006639455,0.00079231936,0.0014148537,0.19341624,0.042956065,0.11734733,0.037264798,0.59807616],"study_design_scores_gemma":[0.000093474846,0.00010447083,0.00079250726,0.000046950405,0.00011176352,0.00036239193,0.0006437474,0.79785794,0.018611297,0.15838085,0.02294251,0.000052033185],"about_ca_topic_score_codex":0.0062050163,"about_ca_topic_score_gemma":0.011486488,"teacher_disagreement_score":0.0062050163,"about_ca_system_score_codex":0.0013208695,"about_ca_system_score_gemma":0.0016982139,"threshold_uncertainty_score":0.013822377},"labels":[],"label_agreement":null},{"id":"W1823230836","doi":"10.1007/978-3-642-00328-8_37","title":"Integrating Healthcare Ontologies: Inconsistency Tolerance and Case Study","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"SNOMED CT; Computer science; Consistency (knowledge bases); Ontology; Domain (mathematical analysis); Health care; Perspective (graphical); Information system; Process (computing); Artificial intelligence; Engineering; Terminology; Programming language; Mathematics","score_opus":0.024035510503803318,"score_gpt":0.2719151804726902,"score_spread":0.24787966996888688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1823230836","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86275464,0.0015974079,0.11744386,0.0020961715,0.00007523126,0.00085830607,0.0005235858,0.00030545457,0.014345418],"genre_scores_gemma":[0.88506556,0.0006188491,0.111985505,0.00017157472,0.000021480175,0.00020851122,0.00052364403,0.00009933393,0.0013055755],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9860947,0.009062315,0.00088067725,0.00073470204,0.0025181947,0.00070935726],"domain_scores_gemma":[0.95025986,0.040473554,0.0019353726,0.0042312015,0.0026264987,0.00047346842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014987009,0.0007386341,0.00069282885,0.0026896643,0.0018291441,0.0038166542,0.0037964748,0.004495748,0.0012896887],"category_scores_gemma":[0.041312188,0.0008008437,0.0011981643,0.004954136,0.002310416,0.005493668,0.0034346485,0.0019484523,0.00020187326],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049671824,0.009388877,0.10041372,0.0028049515,0.00080654357,0.033833414,0.04866132,0.13295974,0.019132633,0.10490541,0.013754931,0.5283713],"study_design_scores_gemma":[0.0013073629,0.002563358,0.025373647,0.001299419,0.0015095238,0.021756856,0.047884077,0.67200804,0.07304753,0.090550594,0.06232668,0.00037294932],"about_ca_topic_score_codex":0.005736928,"about_ca_topic_score_gemma":0.0059234635,"teacher_disagreement_score":0.014987009,"about_ca_system_score_codex":0.0027802798,"about_ca_system_score_gemma":0.0015322508,"threshold_uncertainty_score":0.07925981},"labels":[],"label_agreement":null},{"id":"W1823325150","doi":"10.1007/978-3-642-16696-9_49","title":"Strategic Health Information Management and Forecast: The Birdwatching Approach","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Set (abstract data type); Controlled vocabulary; Information exchange; Information system; Data science; Knowledge management; Artificial intelligence; Engineering","score_opus":0.02613786373024393,"score_gpt":0.24234523565099617,"score_spread":0.21620737192075223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1823325150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011203947,0.00096739334,0.92472565,0.0032168645,0.00018541157,0.00014247284,0.0002782129,0.000681963,0.05859804],"genre_scores_gemma":[0.4230126,0.002282756,0.549541,0.0005648981,0.00019055596,0.00017800064,0.0005696901,0.00017797282,0.023482442],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99949205,0.00022778733,0.000022548817,0.000095463176,0.000118006035,0.000044154294],"domain_scores_gemma":[0.9987123,0.00082856644,0.000074480966,0.00015500578,0.00015500044,0.00007458993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015382123,0.00055385823,0.00075515005,0.001792527,0.000818876,0.003985534,0.0013805605,0.0012828143,0.0075130975],"category_scores_gemma":[0.0035642395,0.00056450785,0.00062157225,0.0028304483,0.0013119264,0.0057714866,0.0015560056,0.0010656883,0.0010298495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113952556,0.000115843555,0.0030640243,0.00020624185,0.0001212911,0.00023751438,0.0008336875,0.0665936,0.0015823732,0.62921226,0.01702157,0.28089765],"study_design_scores_gemma":[0.000023000317,0.00008027746,0.001655902,0.00012479018,0.0000732998,0.00016067967,0.0011697914,0.32676262,0.0011508744,0.61474377,0.054002896,0.000052147494],"about_ca_topic_score_codex":0.012157251,"about_ca_topic_score_gemma":0.014982019,"teacher_disagreement_score":0.012157251,"about_ca_system_score_codex":0.0012090632,"about_ca_system_score_gemma":0.0015892333,"threshold_uncertainty_score":0.025133848},"labels":[],"label_agreement":null},{"id":"W1825399774","doi":"","title":"Decidable reasoning in a modified situation calculus","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Situation calculus; Decidability; Axiom; Computer science; Operator (biology); Calculus (dental); Fragment (logic); Base (topology); Knowledge base; Projection (relational algebra); Context (archaeology); Theoretical computer science; Artificial intelligence; Mathematics; Algorithm","score_opus":0.02127482308670527,"score_gpt":0.2730965858130582,"score_spread":0.2518217627263529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1825399774","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074027546,0.00041368234,0.9023827,0.0015957417,0.0002634721,0.00030619866,0.00043441774,0.002046003,0.01853033],"genre_scores_gemma":[0.5014059,0.00034765978,0.48759735,0.00047742174,0.00027387685,0.00034249888,0.0006006885,0.00023457794,0.008720088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99549556,0.0010404281,0.00040637053,0.0009984171,0.0014812037,0.0005781683],"domain_scores_gemma":[0.9966413,0.0015922544,0.00026973514,0.0006964059,0.0005683704,0.00023195682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004112608,0.0009337763,0.0009995921,0.001485148,0.0018003252,0.003822502,0.002949466,0.001563394,0.003553887],"category_scores_gemma":[0.0058862204,0.0009344095,0.0037091149,0.001254791,0.0054753236,0.008462351,0.0041475217,0.0042096493,0.00050124235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095064985,0.0000715536,0.00025627654,0.0001075106,0.00006843559,0.00082551176,0.0009318889,0.023083981,0.0071502854,0.95637435,0.00086021813,0.010174911],"study_design_scores_gemma":[0.00015031987,0.00008371877,0.00033100144,0.000041777846,0.0001359661,0.00038389993,0.00014641277,0.14735878,0.0077322647,0.82367414,0.019861512,0.000100182195],"about_ca_topic_score_codex":0.0063802656,"about_ca_topic_score_gemma":0.004601805,"teacher_disagreement_score":0.0063802656,"about_ca_system_score_codex":0.003114092,"about_ca_system_score_gemma":0.002130041,"threshold_uncertainty_score":0.022594392},"labels":[],"label_agreement":null},{"id":"W183449466","doi":"","title":"Concept Projection in Algebras for Computing Certain Answer Descriptions.","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Operator (biology); Computer science; Projection (relational algebra); Semantics (computer science); Algebra over a field; Base (topology); Variety (cybernetics); Knowledge base; Theoretical computer science; Operator algebra; Selection (genetic algorithm); Fragment (logic); Section (typography); Algorithm; Mathematics; Programming language; Artificial intelligence; Pure mathematics","score_opus":0.03012719217580107,"score_gpt":0.28545258820044767,"score_spread":0.2553253960246466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W183449466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069201225,0.00029365707,0.9859995,0.0002609497,0.00007936347,0.00016004074,0.00027450506,0.0014458442,0.004566014],"genre_scores_gemma":[0.18235977,0.00049782015,0.8110054,0.00033406256,0.00015380271,0.00033269025,0.0013500805,0.00023519956,0.0037310687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99658185,0.0010094332,0.0002990405,0.0006125293,0.0012172222,0.00027997926],"domain_scores_gemma":[0.99658406,0.0018052766,0.00021702763,0.00063938124,0.0005548494,0.00019937447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041896836,0.00084510737,0.00074677117,0.0023670045,0.001447098,0.0036707562,0.002079552,0.001166379,0.011042247],"category_scores_gemma":[0.012825753,0.00068205746,0.0029133235,0.0025977965,0.0027872913,0.011283903,0.0037462355,0.0025042372,0.002276137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012106577,0.00009427372,0.0006018521,0.00033135552,0.000070746326,0.00015876051,0.00045828384,0.00997647,0.0023756644,0.9019165,0.0036000456,0.08029499],"study_design_scores_gemma":[0.000019931753,0.000051983705,0.00012911903,0.00007119222,0.00005243351,0.00015184804,0.00014271484,0.05975264,0.005195908,0.9263,0.008096909,0.000035368153],"about_ca_topic_score_codex":0.0023944266,"about_ca_topic_score_gemma":0.003089065,"teacher_disagreement_score":0.011042247,"about_ca_system_score_codex":0.0017375271,"about_ca_system_score_gemma":0.0020455867,"threshold_uncertainty_score":0.03693998},"labels":[],"label_agreement":null},{"id":"W1837826463","doi":"10.1007/978-3-642-15928-2_24","title":"Amalgamating Pushout and Pullback Graph Transformation in Collagories","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Pullback; Graph rewriting; Graph; Transformation (genetics); Theoretical computer science; Programming language; Mathematics; Pure mathematics","score_opus":0.013788478101884027,"score_gpt":0.2370957112749463,"score_spread":0.22330723317306228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1837826463","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030275166,0.00013884445,0.93265575,0.00028739186,0.00017405051,0.0002280425,0.0003754083,0.02025979,0.0156054925],"genre_scores_gemma":[0.24944809,0.000194562,0.7070656,0.00025367367,0.00005032499,0.00019364478,0.0016348279,0.008672798,0.03248645],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989191,0.0001978118,0.00007460154,0.0003233264,0.00034977563,0.00013541589],"domain_scores_gemma":[0.9980558,0.00055390934,0.000059547423,0.0009571608,0.00030513367,0.00006846119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008826522,0.00076603395,0.000679048,0.0012356244,0.00090244925,0.0017021188,0.001308427,0.00090722204,0.013969851],"category_scores_gemma":[0.0030871902,0.00052999274,0.0016336791,0.0012171315,0.0013082462,0.0033044603,0.0033952051,0.0013779504,0.0032793165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055592315,0.00040574156,0.001753836,0.0006819532,0.00013026784,0.00077007234,0.0013729399,0.022852352,0.038493715,0.18568663,0.020675244,0.72662127],"study_design_scores_gemma":[0.00013880258,0.00026431368,0.0014313363,0.00018293849,0.0003446127,0.0009011386,0.0009383164,0.27785972,0.16430491,0.39520806,0.15829833,0.00012753844],"about_ca_topic_score_codex":0.0036664177,"about_ca_topic_score_gemma":0.006110629,"teacher_disagreement_score":0.013969851,"about_ca_system_score_codex":0.0006576192,"about_ca_system_score_gemma":0.0009036151,"threshold_uncertainty_score":0.046733737},"labels":[],"label_agreement":null},{"id":"W183822441","doi":"","title":"Binary Absorption in Tableaux-Based Reasoning for Description Logics.","year":2006,"lang":"en","type":"article","venue":"Description Logics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Generalization; Satisfiability; Axiom; Binary number; Terminology; Algorithm; Theoretical computer science; Boolean satisfiability problem; Mathematics; Arithmetic","score_opus":0.042971282876839316,"score_gpt":0.24806192918027783,"score_spread":0.2050906463034385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W183822441","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003807575,0.00020106861,0.992436,0.0003153293,0.00003916916,0.00008525521,0.000044628658,0.0005251357,0.0025458867],"genre_scores_gemma":[0.17214154,0.00041158334,0.82273275,0.00047860932,0.00011114492,0.00022694765,0.00026255983,0.00022052729,0.0034143557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99648404,0.0012554862,0.0002177235,0.0005922166,0.0011892929,0.0002611551],"domain_scores_gemma":[0.99217904,0.005969113,0.00037411618,0.0009466042,0.0003687172,0.0001624397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005145459,0.00068406475,0.00077997864,0.0014882003,0.001546468,0.0035726575,0.0031464084,0.0015962373,0.004861734],"category_scores_gemma":[0.01140152,0.0009542833,0.0021099176,0.0019739566,0.004740673,0.008307454,0.0036591545,0.0037554975,0.0010433412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097941294,0.00006692278,0.000375292,0.00017241755,0.000031865642,0.0001680947,0.00053263345,0.014636664,0.0022522395,0.92071956,0.002022398,0.05892395],"study_design_scores_gemma":[0.000028532619,0.000031118063,0.00008832357,0.000059693793,0.000032430326,0.00014562262,0.00008706493,0.11510536,0.004030046,0.8707492,0.009619296,0.000023270415],"about_ca_topic_score_codex":0.0022940922,"about_ca_topic_score_gemma":0.0033001835,"teacher_disagreement_score":0.005145459,"about_ca_system_score_codex":0.00255843,"about_ca_system_score_gemma":0.0014250117,"threshold_uncertainty_score":0.027212143},"labels":[],"label_agreement":null},{"id":"W1843659541","doi":"","title":"Workshop ‘Opening data at municipality of The Hague’","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Employment and Social Development Canada","funders":"","keywords":"Linked data; Publication; XML; World Wide Web; Open data; Bachelor; RDF; Political science; Library science; Computer science; Process (computing); Semantic Web; Public relations; Law","score_opus":0.09539743641571381,"score_gpt":0.2999859675018735,"score_spread":0.2045885310861597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1843659541","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040954806,0.012353432,0.029192865,0.5228473,0.11340634,0.0013123347,0.008766053,0.0023648387,0.26880202],"genre_scores_gemma":[0.17543389,0.0070184832,0.032899365,0.0662056,0.010080622,0.0021440643,0.01631111,0.0033087824,0.6865981],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99130625,0.0040127533,0.0002796866,0.0011568137,0.0017220665,0.0015224376],"domain_scores_gemma":[0.9869877,0.004973171,0.00025892892,0.0012768415,0.0026770153,0.003826322],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.020743806,0.0007541846,0.0007840056,0.0013223623,0.0071391175,0.012848999,0.0030246626,0.008339378,0.04258498],"category_scores_gemma":[0.020983854,0.00083552644,0.0018879287,0.0020853558,0.004633405,0.0112533225,0.010607402,0.009058513,0.010849692],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011527704,0.000107266955,0.00038444027,0.00027658115,0.000023622935,0.00076251954,0.013667762,0.00024540728,0.0012451553,0.028800895,0.929516,0.024854954],"study_design_scores_gemma":[0.000010114042,0.000008405171,0.00029513874,0.00009422331,0.0000022686636,0.00003562989,0.00350984,0.000050956096,0.00015043537,0.0019451285,0.99388593,0.000011951626],"about_ca_topic_score_codex":0.041533902,"about_ca_topic_score_gemma":0.06565377,"teacher_disagreement_score":0.99697536,"about_ca_system_score_codex":0.0072387173,"about_ca_system_score_gemma":0.014140404,"threshold_uncertainty_score":0.14246094},"labels":[],"label_agreement":null},{"id":"W1845283042","doi":"10.1007/3-540-47922-8_37","title":"Relaxed Unification — Proposal","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Unification; Computer science; Imperfect; Theoretical computer science; Algorithm; Programming language; Philosophy","score_opus":0.023128428102131494,"score_gpt":0.24094282860117214,"score_spread":0.21781440049904063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1845283042","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033488877,0.0034015898,0.77340144,0.016349936,0.00574791,0.0004304813,0.0006693393,0.0029846153,0.16352583],"genre_scores_gemma":[0.4850596,0.0021675183,0.39638975,0.0073760655,0.0058243317,0.001319234,0.0028032372,0.002162068,0.09689815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9922111,0.0025284747,0.00041512086,0.0022692415,0.0014565006,0.0011195646],"domain_scores_gemma":[0.9921131,0.0021075353,0.00019825017,0.004119713,0.0009773406,0.00048405217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073270113,0.0010698207,0.0018477091,0.0027514452,0.0042120023,0.0049970727,0.0058773924,0.0052047144,0.019910993],"category_scores_gemma":[0.01662469,0.0013715893,0.0027251136,0.0037852074,0.0071445853,0.021950793,0.010943989,0.008689186,0.005884066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008699984,0.000033534583,0.000099253986,0.00007974734,0.000020435431,0.00004944632,0.0002679252,0.00053128635,0.0004511562,0.96764874,0.00675853,0.023972778],"study_design_scores_gemma":[0.00004756806,0.000024969262,0.00011849354,0.00005539842,0.000040044906,0.00011430384,0.00012450911,0.0047153146,0.0010655051,0.96862453,0.025038222,0.00003118284],"about_ca_topic_score_codex":0.0016369527,"about_ca_topic_score_gemma":0.0010313548,"teacher_disagreement_score":0.019910993,"about_ca_system_score_codex":0.0016840189,"about_ca_system_score_gemma":0.0026734434,"threshold_uncertainty_score":0.066608906},"labels":[],"label_agreement":null},{"id":"W1846028828","doi":"10.1007/11579427_10","title":"Domain and Competences Ontologies and Their Maintenance for an Intelligent Dissemination of Documents","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Computer science; Relevance (law); Domain (mathematical analysis); Relation (database); World Wide Web; Knowledge management; Service (business); Domain knowledge; Information retrieval; Database","score_opus":0.01890286308716695,"score_gpt":0.27623776499094965,"score_spread":0.2573349019037827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1846028828","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017791545,0.0011507226,0.9564242,0.003241004,0.00014552548,0.00018095331,0.00051004335,0.0015694794,0.018986596],"genre_scores_gemma":[0.22097209,0.0017172871,0.7612466,0.0002569077,0.00012572888,0.0001835767,0.001777642,0.0005604679,0.013159684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99729663,0.00074709975,0.00038236717,0.00046493954,0.00096943363,0.00013962433],"domain_scores_gemma":[0.99450964,0.0015425491,0.00040675089,0.001997099,0.0012889378,0.00025508946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059744935,0.00028699797,0.0004541804,0.003800401,0.001593941,0.005336461,0.0016561064,0.0011834042,0.0032492203],"category_scores_gemma":[0.017541438,0.0007250047,0.00093093986,0.0030784602,0.0021419944,0.010979215,0.0033044806,0.0021942535,0.001395016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058116522,0.000094443145,0.0014937364,0.00019534002,0.000045410878,0.0002502023,0.0030283085,0.006134238,0.007030581,0.6355701,0.012117687,0.33398187],"study_design_scores_gemma":[0.000034106622,0.000046904166,0.0031635417,0.00034210717,0.0002087808,0.0010095257,0.002048009,0.09627643,0.0156293,0.61683077,0.2643087,0.00010179608],"about_ca_topic_score_codex":0.008303522,"about_ca_topic_score_gemma":0.005308951,"teacher_disagreement_score":0.008303522,"about_ca_system_score_codex":0.0017175219,"about_ca_system_score_gemma":0.0035728032,"threshold_uncertainty_score":0.03159648},"labels":[],"label_agreement":null},{"id":"W1848178588","doi":"10.1007/3-540-44886-1_51","title":"Re-using Web Information for Building Flexible Domain Knowledge","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Subject-matter expert; Domain (mathematical analysis); Domain knowledge; Knowledge base; Meaning (existential); TUTOR; Session (web analytics); Artificial intelligence; Subject matter; Information retrieval; Subject (documents); Knowledge-based systems; Natural language processing; Expert system; World Wide Web; Programming language; Curriculum","score_opus":0.030902940789449967,"score_gpt":0.2852948213217067,"score_spread":0.2543918805322567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1848178588","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016018912,0.0012270557,0.9484273,0.0011564206,0.00016853756,0.00033949292,0.001604527,0.009675783,0.021381898],"genre_scores_gemma":[0.14920239,0.0018607002,0.82885593,0.0005636197,0.0000903265,0.00024419947,0.00804365,0.0020506945,0.00908848],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972681,0.00070767786,0.0003358938,0.00053999835,0.0009958574,0.0001525755],"domain_scores_gemma":[0.9910926,0.0025906852,0.00021802317,0.0050575603,0.000883207,0.00015794925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003773133,0.0010818394,0.0015127792,0.006807799,0.0012082706,0.0057585235,0.002849564,0.0015286126,0.0065672975],"category_scores_gemma":[0.012808298,0.001112478,0.002244466,0.006804937,0.0014392609,0.014438568,0.0065098614,0.0029627613,0.003986045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017713326,0.00034212295,0.0028068265,0.00088971626,0.0003750644,0.0011369924,0.002741234,0.019010024,0.013734995,0.07624443,0.0247767,0.8577647],"study_design_scores_gemma":[0.00006581607,0.00008654635,0.0021197188,0.0009099789,0.00087042205,0.0015450487,0.0027228526,0.2151236,0.05260915,0.34769925,0.37604085,0.00020669939],"about_ca_topic_score_codex":0.0062467977,"about_ca_topic_score_gemma":0.011919974,"teacher_disagreement_score":0.006807799,"about_ca_system_score_codex":0.0010075647,"about_ca_system_score_gemma":0.0014522563,"threshold_uncertainty_score":0.021969795},"labels":[],"label_agreement":null},{"id":"W18542061","doi":"","title":"Succeeding with Object databases","year":2000,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Resverlogix (Canada)","funders":"","keywords":"Database; Object (grammar); Computer science; Artificial intelligence","score_opus":0.030196275786522977,"score_gpt":0.2466422737235535,"score_spread":0.2164459979370305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W18542061","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042074416,0.07368275,0.29385817,0.015031697,0.00485128,0.00009950511,0.00034989175,0.0017164412,0.60620284],"genre_scores_gemma":[0.069163136,0.065417364,0.20673524,0.0075372383,0.0033758192,0.00021130746,0.0013909778,0.0016769901,0.64449203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986363,0.00023711329,0.00006478052,0.0002222686,0.00075126556,0.00008819507],"domain_scores_gemma":[0.9984681,0.0007039193,0.000032615015,0.0004908387,0.00022696402,0.00007754903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015941566,0.0009346624,0.0010132283,0.0015922218,0.0016664078,0.007823439,0.0015031735,0.0015502675,0.015781377],"category_scores_gemma":[0.00430172,0.0008616823,0.0008433215,0.0043679527,0.0037272128,0.025386566,0.0035218853,0.0043213777,0.008939387],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016991156,0.000029303705,0.000116661235,0.00012923348,0.000011822256,0.000040376646,0.00026763603,0.0005417289,0.00022159937,0.73737705,0.08827086,0.17297673],"study_design_scores_gemma":[0.000004060073,0.0000049099813,0.000070911075,0.00008631502,0.000009949888,0.00011696199,0.000087783046,0.0012499841,0.00029640616,0.48391232,0.5141529,0.00000751077],"about_ca_topic_score_codex":0.0033475016,"about_ca_topic_score_gemma":0.0032152294,"teacher_disagreement_score":0.015781377,"about_ca_system_score_codex":0.001697211,"about_ca_system_score_gemma":0.0016064345,"threshold_uncertainty_score":0.05279398},"labels":[],"label_agreement":null},{"id":"W1854631710","doi":"10.1007/978-3-642-04568-4_33","title":"Ontological View-Driven Semantic Integration in Collaborative Networks","year":2009,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Semantic integration; Ontology; Semantic grid; Representation (politics); Semantic heterogeneity; Upper ontology; Equivalence (formal languages); Foundation (evidence); Semantic computing; Ontology-based data integration; Knowledge management; Information retrieval; Semantic Web; Epistemology; Mathematics","score_opus":0.009396317582010604,"score_gpt":0.2580248800396727,"score_spread":0.24862856245766213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854631710","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004424269,0.00024788355,0.98786795,0.00029231532,0.000055013385,0.000057203775,0.000075408745,0.0005245238,0.006455479],"genre_scores_gemma":[0.16619365,0.00076549256,0.8250443,0.00013727366,0.000053082025,0.00019134358,0.0008668891,0.00037844686,0.006369579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972378,0.0007969088,0.0001977212,0.00030877648,0.0013004031,0.00015835626],"domain_scores_gemma":[0.9983594,0.0006684372,0.00007124167,0.0005207246,0.00031934425,0.000060800518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034040117,0.0004845608,0.00074909406,0.0012481605,0.0010548453,0.0045048115,0.0026111903,0.001514992,0.0029717544],"category_scores_gemma":[0.006540876,0.00088233646,0.0012311783,0.0020793858,0.0015727864,0.007907703,0.005133334,0.0023468728,0.001446571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083752035,0.00011137515,0.00042933156,0.00016408428,0.000065778615,0.00022210511,0.0012524402,0.051833298,0.0052905264,0.74145037,0.0051416173,0.19395527],"study_design_scores_gemma":[0.000014344579,0.000017318102,0.00016033155,0.00006650164,0.000059442395,0.00012371656,0.00037416007,0.47329494,0.007926927,0.485289,0.032644425,0.000028903652],"about_ca_topic_score_codex":0.0037495843,"about_ca_topic_score_gemma":0.0048766183,"teacher_disagreement_score":0.0045048115,"about_ca_system_score_codex":0.0012521185,"about_ca_system_score_gemma":0.0015002191,"threshold_uncertainty_score":0.018002331},"labels":[],"label_agreement":null},{"id":"W1855322793","doi":"","title":"Combined FO rewritability for conjunctive query answering in DL-Lite","year":2009,"lang":"en","type":"article","venue":"BIROn (Birkbeck, University of London)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Conjunctive query; Description logic; Relational database management system; Satisfiability; Boolean conjunctive query; Context (archaeology); Question answering; Theoretical computer science; Relational database; Ontology; SQL; Information retrieval; Database; Sargable; Web search query; Search engine","score_opus":0.013469746237750503,"score_gpt":0.21063763230876692,"score_spread":0.19716788607101643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1855322793","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01335457,0.0008219735,0.9704295,0.0010961465,0.00017613209,0.0002463403,0.0007114883,0.0032501654,0.009913716],"genre_scores_gemma":[0.31112963,0.0007475363,0.6738185,0.0009842517,0.00049442647,0.0003629442,0.0023369447,0.00079080026,0.009334972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9892609,0.0031728263,0.0015758422,0.0019660867,0.0031469762,0.0008773417],"domain_scores_gemma":[0.97277135,0.015684444,0.0007061312,0.007003859,0.0034846177,0.00034971916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008109257,0.0008841514,0.0018176525,0.003228414,0.0012609187,0.005562498,0.0032586094,0.0017353831,0.010679793],"category_scores_gemma":[0.036011387,0.0013371368,0.0031982698,0.0031887826,0.0030816656,0.009708723,0.005181018,0.0034244724,0.002553837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006456153,0.00030378884,0.0017636151,0.0013753687,0.00043579531,0.001539999,0.001984734,0.052305054,0.0121396985,0.5641196,0.015529954,0.34785682],"study_design_scores_gemma":[0.00018499569,0.00007283627,0.0004250364,0.00017200166,0.00039789465,0.00080172915,0.00025868558,0.30197045,0.021092601,0.65030026,0.02419482,0.00012868136],"about_ca_topic_score_codex":0.0069539826,"about_ca_topic_score_gemma":0.009338484,"teacher_disagreement_score":0.010679793,"about_ca_system_score_codex":0.002841149,"about_ca_system_score_gemma":0.0017031496,"threshold_uncertainty_score":0.042886376},"labels":[],"label_agreement":null},{"id":"W1862636956","doi":"10.1007/978-3-319-23519-6_812-2","title":"Modeling with Pictogrammic Languages","year":2016,"lang":"en","type":"book-chapter","venue":"Encyclopedia of GIS","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Computer science","score_opus":0.012501747953256837,"score_gpt":0.22716246361618525,"score_spread":0.2146607156629284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1862636956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011892616,0.000560594,0.9660013,0.0003128605,0.00011656554,0.000056673467,0.00051490165,0.002320681,0.028927192],"genre_scores_gemma":[0.087673604,0.0035687531,0.8664194,0.0003224899,0.00015728675,0.00047234085,0.0036285364,0.0016645786,0.0360931],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992403,0.000259377,0.00008756325,0.00014327875,0.0002248361,0.000044734574],"domain_scores_gemma":[0.99946576,0.00020729227,0.000035729536,0.00016948835,0.00010184233,0.000019912899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006256525,0.0012595736,0.00061848405,0.001435649,0.0008706448,0.00520506,0.0018638656,0.0011531453,0.018677924],"category_scores_gemma":[0.0027491446,0.000814376,0.0016167131,0.0024645552,0.0018933167,0.0068335473,0.0020323058,0.0017628286,0.005642037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023015493,0.000021972683,0.00013103975,0.00026244955,0.000018150617,0.00013812799,0.0004565013,0.018021766,0.0011781645,0.9048917,0.011705673,0.0631514],"study_design_scores_gemma":[0.000019592662,0.000017489006,0.000068398804,0.00020534822,0.000035470148,0.00032992332,0.00016488678,0.083057,0.003975235,0.63349485,0.27860284,0.000029041976],"about_ca_topic_score_codex":0.0030789506,"about_ca_topic_score_gemma":0.0033048668,"teacher_disagreement_score":0.018677924,"about_ca_system_score_codex":0.0012050885,"about_ca_system_score_gemma":0.0011186715,"threshold_uncertainty_score":0.062483847},"labels":[],"label_agreement":null},{"id":"W1865476398","doi":"","title":"Towards unbiased evaluation of uncertainty reasoning: The URREF ontology","year":2012,"lang":"en","type":"article","venue":"International Conference on Information Fusion","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":142,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Ontology; Computer science; Situation awareness; Sensor fusion; Representation (politics); Situation analysis; Knowledge representation and reasoning; Data mining; Ontology-based data integration; Data collection; Information retrieval; Data science; Artificial intelligence; Engineering; Semantic Web","score_opus":0.08811752557596993,"score_gpt":0.3427408974872192,"score_spread":0.2546233719112493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1865476398","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027735846,0.00051415607,0.986046,0.0017593026,0.00008488921,0.00022595364,0.00019500504,0.000508268,0.007892825],"genre_scores_gemma":[0.06913987,0.0006822501,0.9267035,0.00047800987,0.00012127861,0.00046671598,0.00092651334,0.00028964577,0.0011923331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.91779673,0.043486573,0.0075721648,0.0043420424,0.024340773,0.0024617356],"domain_scores_gemma":[0.93436253,0.022366358,0.0044848924,0.01302691,0.024311991,0.001447335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07722241,0.0015527338,0.002025025,0.009284201,0.0028991217,0.0156194065,0.0060102353,0.004026616,0.0021441774],"category_scores_gemma":[0.08800412,0.0010946946,0.003338628,0.0071413354,0.008589114,0.027034834,0.009978929,0.005461888,0.00090980896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004203683,0.00007661585,0.0005799218,0.00019592905,0.00005880871,0.00011659984,0.0010663202,0.009990348,0.00065179646,0.92090327,0.0031464833,0.063171946],"study_design_scores_gemma":[0.000038947943,0.000058914615,0.00041102816,0.0006640462,0.00012492997,0.00019808524,0.0011570182,0.120462045,0.0034994828,0.8106828,0.0626002,0.00010253052],"about_ca_topic_score_codex":0.018044187,"about_ca_topic_score_gemma":0.011356745,"teacher_disagreement_score":0.07722241,"about_ca_system_score_codex":0.0065420414,"about_ca_system_score_gemma":0.011575354,"threshold_uncertainty_score":0.408396},"labels":[],"label_agreement":null},{"id":"W1866544678","doi":"10.1109/coec.2003.1210248","title":"PCFinder: an intelligent product recommendation agent for e-commerce","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Collaborative filtering; Cluster analysis; Product (mathematics); Recommender system; Purchasing; E-commerce; Intelligent agent; Adaptation (eye); Order (exchange); Heuristic; Case-based reasoning; Web service; Data mining; World Wide Web; Artificial intelligence; Engineering","score_opus":0.07758792837610683,"score_gpt":0.31580309028290654,"score_spread":0.2382151619067997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1866544678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035585474,0.001073885,0.8069728,0.0016913371,0.0004787892,0.0020191602,0.001805073,0.105005205,0.04536825],"genre_scores_gemma":[0.13977876,0.00072089676,0.8016855,0.00078246003,0.00014927701,0.0007557711,0.0025105022,0.0010730125,0.052543797],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999532,0.00006372246,0.000047000427,0.000092950235,0.0002172397,0.000047186044],"domain_scores_gemma":[0.9994547,0.000115302195,0.000053611446,0.00010495091,0.00018053067,0.00009097134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007782306,0.0007436965,0.0008159159,0.0013315945,0.00085903564,0.0014006384,0.002227497,0.0019263963,0.010599039],"category_scores_gemma":[0.0020581812,0.0005583283,0.0005593659,0.0008748652,0.00031861893,0.0020603498,0.00075524976,0.0011135256,0.0045954706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014237162,0.0010968855,0.005411543,0.0006340902,0.00026899995,0.0008238954,0.00052026793,0.023170052,0.026712628,0.025849955,0.14046057,0.7736273],"study_design_scores_gemma":[0.00071192347,0.0005012718,0.0032721302,0.00011143155,0.00036058368,0.0012250086,0.0001238807,0.5711301,0.031896006,0.010995895,0.37946332,0.00020844815],"about_ca_topic_score_codex":0.008289991,"about_ca_topic_score_gemma":0.011197121,"teacher_disagreement_score":0.010599039,"about_ca_system_score_codex":0.000696606,"about_ca_system_score_gemma":0.0010684325,"threshold_uncertainty_score":0.035457373},"labels":[],"label_agreement":null},{"id":"W1866841226","doi":"","title":"Mining the Digital Information Networks - June 13-14, 2013, Blekinge Institute of Technology, Karlskrona, Sweden","year":2012,"lang":"en","type":"article","venue":"ScieCom info","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Engineering","score_opus":0.016291415567012052,"score_gpt":0.235962285181668,"score_spread":0.21967086961465596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1866841226","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036771674,0.1723288,0.35704264,0.15066257,0.040218152,0.0016203497,0.02331265,0.013526572,0.20451659],"genre_scores_gemma":[0.09263032,0.12084877,0.20733714,0.0030214696,0.0063394657,0.0010938467,0.047710285,0.004316538,0.5167021],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99468225,0.0010452395,0.0003557748,0.00094022363,0.0025268192,0.0004497436],"domain_scores_gemma":[0.99492365,0.0016526195,0.00020135955,0.00058362854,0.0018326644,0.00080611435],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007064183,0.0010742376,0.001677756,0.0042050006,0.0022013644,0.009325533,0.0017522916,0.0019699896,0.03221571],"category_scores_gemma":[0.009850279,0.0009825362,0.0012754501,0.0051639746,0.0017977067,0.005673057,0.003996843,0.0035592979,0.018398887],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025163728,0.00019865697,0.0029792136,0.0006565901,0.00010012094,0.00025542505,0.0007128374,0.003339735,0.0019907395,0.018314416,0.47329333,0.4979073],"study_design_scores_gemma":[0.000027630691,0.000056271594,0.005325671,0.0007719291,0.000035750978,0.00026117047,0.0006442827,0.0073426967,0.004542393,0.01811349,0.96281993,0.00005884555],"about_ca_topic_score_codex":0.00707404,"about_ca_topic_score_gemma":0.014143461,"teacher_disagreement_score":0.9677843,"about_ca_system_score_codex":0.003713581,"about_ca_system_score_gemma":0.0062666,"threshold_uncertainty_score":0.10777229},"labels":[],"label_agreement":null},{"id":"W1875552029","doi":"10.1007/978-0-387-35494-1_15","title":"Towards a Logical Framework for Engineering Design Processes","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sketch; Computer science; Task (project management); Systems engineering; Architecture; Engineering design process; Software engineering; Management science; Engineering","score_opus":0.08694355535995625,"score_gpt":0.2606990929188227,"score_spread":0.17375553755886647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1875552029","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011073323,0.0022010144,0.9658243,0.0032554767,0.00019036305,0.00008428102,0.00007134333,0.0002973076,0.026968611],"genre_scores_gemma":[0.051825657,0.0035707664,0.93023986,0.0012067996,0.00034745916,0.0004322818,0.00030989692,0.00020215072,0.011865076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99539787,0.0023970904,0.00037886953,0.0004956994,0.001098888,0.00023155035],"domain_scores_gemma":[0.9959125,0.002344034,0.00029409776,0.0005650606,0.0006531025,0.00023123436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011247992,0.0014917317,0.000842727,0.0035335468,0.002888004,0.009348786,0.003331016,0.0028527458,0.005302174],"category_scores_gemma":[0.0060789217,0.0012382652,0.0024190536,0.0033481077,0.013605436,0.018547311,0.0048223315,0.007700397,0.002094288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020938883,0.0000057603547,0.000016216054,0.00003780993,0.0000024035003,0.000024995892,0.00025510474,0.00076654943,0.000084509295,0.9936562,0.0006491679,0.0044991276],"study_design_scores_gemma":[0.000009900288,0.000007739739,0.000016777189,0.0000748508,0.000005025166,0.00004382637,0.0001454204,0.0046287403,0.00022337055,0.9390232,0.0558122,0.000008887867],"about_ca_topic_score_codex":0.0044921488,"about_ca_topic_score_gemma":0.003496673,"teacher_disagreement_score":0.011247992,"about_ca_system_score_codex":0.005449502,"about_ca_system_score_gemma":0.0046732244,"threshold_uncertainty_score":0.059485793},"labels":[],"label_agreement":null},{"id":"W1878868591","doi":"","title":"A User and NLP-Assisted Strategic Workflow for a Social Semantic OWL 2-Based Knowledge Platform","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Web Ontology Language; Workflow; Ontology; Semantic Web; Semantic Web Rule Language; OWL-S; World Wide Web; SPARQL; Domain (mathematical analysis); RDF; Social Semantic Web; Data science; Artificial intelligence; Information retrieval; Natural language processing; Semantic analytics; Database","score_opus":0.09218145764120493,"score_gpt":0.3100589960940756,"score_spread":0.21787753845287067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1878868591","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068771685,0.000031133186,0.9820811,0.0009437782,0.00004241311,0.00037904267,0.00016788875,0.0020724249,0.0074050813],"genre_scores_gemma":[0.07082909,0.000080857244,0.9222731,0.00018524054,0.000023329121,0.00024299904,0.0006547876,0.0003098572,0.005400718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99641716,0.0015041151,0.0003724203,0.0006304941,0.0008002905,0.0002755851],"domain_scores_gemma":[0.9975132,0.00074961956,0.00015264895,0.00082416326,0.00033872208,0.00042165336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007810474,0.00070464605,0.0006884608,0.002592333,0.0025365562,0.007121634,0.0025748315,0.0022062843,0.0049465513],"category_scores_gemma":[0.005763087,0.0006665638,0.0015849499,0.0017407888,0.0022247974,0.006315367,0.0070673716,0.0020994593,0.0027402746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027201418,0.0007466759,0.0031614664,0.00027300356,0.00009424854,0.0022069109,0.008166506,0.024418911,0.02488393,0.7450799,0.010767824,0.17992853],"study_design_scores_gemma":[0.000087046734,0.00018821127,0.0011399131,0.00017344921,0.00007316151,0.0010079216,0.0027506405,0.3672847,0.015568135,0.4340377,0.1774597,0.00022944258],"about_ca_topic_score_codex":0.0066388925,"about_ca_topic_score_gemma":0.0077860416,"teacher_disagreement_score":0.007810474,"about_ca_system_score_codex":0.001905751,"about_ca_system_score_gemma":0.00861481,"threshold_uncertainty_score":0.041306198},"labels":[],"label_agreement":null},{"id":"W1878984325","doi":"10.1109/oceans.2005.1640159","title":"Construction of marine vocabularies in the Marine Metadata Interoperability Project","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Metadata; World Wide Web; Controlled vocabulary; Vocabulary; Ontology; Interoperability; Web Ontology Language; Semantic Web; Information retrieval; Web standards; Web service","score_opus":0.028188407138088126,"score_gpt":0.2693807339068825,"score_spread":0.24119232676879437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1878984325","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03984999,0.00097615784,0.851339,0.0051918337,0.00037744618,0.0052344077,0.012266927,0.0022801952,0.08248413],"genre_scores_gemma":[0.06843018,0.0006907025,0.8842908,0.0005335219,0.000057292193,0.0033796546,0.032213636,0.00096857315,0.009435601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.985968,0.0057144393,0.002714849,0.0017541787,0.0032233098,0.00062521343],"domain_scores_gemma":[0.99015117,0.002718848,0.0009960785,0.0026994217,0.0029183323,0.00051619305],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.026174106,0.0005214747,0.00063087925,0.0070886146,0.0037481454,0.0060991514,0.0024901489,0.0013547835,0.004314305],"category_scores_gemma":[0.022470996,0.0008990986,0.0019425849,0.0074995533,0.0031942588,0.010230287,0.012516628,0.003022929,0.001762904],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050507057,0.00013604069,0.0035254974,0.0004962924,0.000048313635,0.00026169914,0.006238339,0.0031461078,0.0036721968,0.86014616,0.018242326,0.104036525],"study_design_scores_gemma":[0.00007858814,0.00011434236,0.005160729,0.0019461894,0.00009327608,0.00033374314,0.008409844,0.018521674,0.010538354,0.24581516,0.70882595,0.00016211711],"about_ca_topic_score_codex":0.029441008,"about_ca_topic_score_gemma":0.022751331,"teacher_disagreement_score":0.99390084,"about_ca_system_score_codex":0.004760352,"about_ca_system_score_gemma":0.014484202,"threshold_uncertainty_score":0.13842362},"labels":[],"label_agreement":null},{"id":"W1885326446","doi":"10.1007/978-3-642-13059-5_43","title":"Deep Distributed News: Ontologies to the Rescue of Journalism","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Conceptualization; World Wide Web; The Internet; Journalism; Context (archaeology); Set (abstract data type); Semantic Web; Information overload; News media; Social media; Artificial intelligence; Media studies; Sociology; History","score_opus":0.0200076272028943,"score_gpt":0.25649254295371665,"score_spread":0.23648491575082237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1885326446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025760226,0.0072451895,0.85178787,0.016517656,0.0012908016,0.00011355431,0.0017515986,0.0038597898,0.09167333],"genre_scores_gemma":[0.6067215,0.006315249,0.341131,0.0019548174,0.0013322717,0.00013917107,0.0037425982,0.0010512725,0.03761215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990177,0.00035310508,0.000105675485,0.00014605625,0.0002873837,0.000090062225],"domain_scores_gemma":[0.99451655,0.0026705519,0.0003242795,0.0015084806,0.00066670426,0.00031338778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020539302,0.0004016336,0.00062515953,0.002884428,0.0016152835,0.006880975,0.0014980321,0.0016362446,0.0053271423],"category_scores_gemma":[0.009524573,0.00045990283,0.00063747365,0.0036954135,0.0038425785,0.016374268,0.0033845375,0.0023790991,0.0014446382],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009876424,0.00009189384,0.0012079098,0.0003014467,0.000050562903,0.00015643211,0.0019508391,0.0063284026,0.0013011635,0.73825556,0.03269504,0.21756206],"study_design_scores_gemma":[0.000018949375,0.000009368498,0.00036866055,0.0000841433,0.00002851937,0.000101937265,0.00082446716,0.02586491,0.001352627,0.8733772,0.097952425,0.000016816177],"about_ca_topic_score_codex":0.0032764657,"about_ca_topic_score_gemma":0.0038948006,"teacher_disagreement_score":0.006880975,"about_ca_system_score_codex":0.0015111185,"about_ca_system_score_gemma":0.0020918278,"threshold_uncertainty_score":0.017821014},"labels":[],"label_agreement":null},{"id":"W188917611","doi":"10.1007/978-94-007-7009-6_3","title":"Uncertainties in/of Data Generation","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","score_opus":0.12719919603434546,"score_gpt":0.28761514865568566,"score_spread":0.1604159526213402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W188917611","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029644496,0.012650773,0.8890022,0.007012945,0.0012017442,0.00011672801,0.00047177388,0.0009513286,0.085627906],"genre_scores_gemma":[0.25192416,0.031056745,0.6330802,0.0028572858,0.0031303652,0.00045538117,0.002408979,0.0021080042,0.072978884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99561936,0.0012022798,0.00031201186,0.0005090121,0.0022114376,0.00014585066],"domain_scores_gemma":[0.99245185,0.0050990684,0.0001816569,0.0014461738,0.0007505359,0.000070769485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049381587,0.00087138516,0.00070607883,0.0021886441,0.00084370526,0.0054611363,0.002068343,0.0014993815,0.008166013],"category_scores_gemma":[0.021528717,0.0007914621,0.00084038236,0.0023689622,0.0032936933,0.011341919,0.0035473292,0.003439694,0.0026060084],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024523491,0.000015061428,0.00017825888,0.00028609275,0.000019281908,0.0000935225,0.00031728964,0.009147872,0.0004575376,0.77785444,0.013813495,0.19779254],"study_design_scores_gemma":[0.0000031865982,0.0000045797,0.00006827375,0.00020719126,0.0000108587265,0.00012466779,0.000077552075,0.01965008,0.0021306502,0.8822988,0.09540879,0.000015263251],"about_ca_topic_score_codex":0.0014302111,"about_ca_topic_score_gemma":0.0007981783,"teacher_disagreement_score":0.008166013,"about_ca_system_score_codex":0.001750381,"about_ca_system_score_gemma":0.001539084,"threshold_uncertainty_score":0.02731806},"labels":[],"label_agreement":null},{"id":"W1891862609","doi":"","title":"Introduction: Collaborative Mind Technologies [2003, rptd. 2008]","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Discipline; Digital humanities; Data science; Emerging technologies; Computer science; Sociology; Library science; World Wide Web; Engineering ethics; Engineering; Social science; Artificial intelligence","score_opus":0.010210739189073358,"score_gpt":0.23196209260506317,"score_spread":0.2217513534159898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1891862609","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001522014,0.11985357,0.1003995,0.141452,0.13006265,0.0004880197,0.01061298,0.007160368,0.48844886],"genre_scores_gemma":[0.01484027,0.0850443,0.04507468,0.03233355,0.054648835,0.0004630659,0.020105202,0.0037351085,0.74375504],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998645,0.00023652408,0.00011075834,0.00026341566,0.0006437373,0.000100630736],"domain_scores_gemma":[0.9975237,0.00064777076,0.00012761052,0.0002621516,0.0011268582,0.00031190796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016542114,0.0011326035,0.000781005,0.004139946,0.0024013345,0.0071654106,0.0017188314,0.0045783455,0.057667293],"category_scores_gemma":[0.0039534857,0.0005490805,0.0007192097,0.0052885655,0.00090139266,0.008022214,0.0019308223,0.0045521106,0.038108516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001316437,0.00002055219,0.00009308396,0.00022690972,0.000005229842,0.000032170672,0.0001556786,0.00007429465,0.00020261433,0.010389734,0.9212788,0.06750772],"study_design_scores_gemma":[0.000004789311,0.000008000029,0.00035487866,0.000226995,0.000005661493,0.00008488035,0.00008342331,0.00012631054,0.00017489884,0.0038780938,0.99504143,0.000010632899],"about_ca_topic_score_codex":0.010231189,"about_ca_topic_score_gemma":0.015708227,"teacher_disagreement_score":0.057667293,"about_ca_system_score_codex":0.002122656,"about_ca_system_score_gemma":0.0027339188,"threshold_uncertainty_score":0.19291627},"labels":[],"label_agreement":null},{"id":"W189311308","doi":"10.3233/978-1-58603-979-0-507","title":"Managing Terminology Assets in Electronic Health Records","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Public Health Association","funders":"","keywords":"Terminology; Workflow; Computer science; Asset management; Knowledge management; Context (archaeology); Process management; Asset (computer security); Data science; Database; Business; Computer security","score_opus":0.036136402534137434,"score_gpt":0.3574631415615334,"score_spread":0.321326739027396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189311308","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30889356,0.005187344,0.6124655,0.013666883,0.0003747564,0.00070210395,0.00070300576,0.0027669973,0.05523982],"genre_scores_gemma":[0.6336647,0.0026559762,0.35071507,0.0008586832,0.00025474973,0.0002203061,0.0020016627,0.00045138915,0.0091774175],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98209894,0.008196552,0.0028912171,0.0012042322,0.0045408886,0.00106826],"domain_scores_gemma":[0.9633126,0.016384926,0.0053480472,0.008412408,0.005624045,0.0009180003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0144558465,0.0005119333,0.00082910835,0.0055297106,0.004062807,0.01462552,0.0029499035,0.002295448,0.0021051983],"category_scores_gemma":[0.063895434,0.0009533232,0.0008404961,0.0076514482,0.0030306648,0.028514456,0.014091934,0.0023512256,0.0011773749],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021694739,0.00030897584,0.02448486,0.0007025896,0.00011650632,0.002527286,0.023826495,0.01712964,0.008157141,0.26601824,0.015598991,0.64091235],"study_design_scores_gemma":[0.00009589084,0.00026545205,0.0120654935,0.0015249372,0.00065589265,0.0064089512,0.02995412,0.1188434,0.035767026,0.4638191,0.33031723,0.0002825783],"about_ca_topic_score_codex":0.006258415,"about_ca_topic_score_gemma":0.0047783027,"teacher_disagreement_score":0.01462552,"about_ca_system_score_codex":0.003066787,"about_ca_system_score_gemma":0.0064566648,"threshold_uncertainty_score":0.076450706},"labels":[],"label_agreement":null},{"id":"W189866352","doi":"10.3233/978-1-60750-619-5-255","title":"Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Argument (complex analysis); Bayesian network; Probabilistic logic; Semantics (computer science); Computer science; Bayesian probability; Artificial intelligence; Natural language processing; Programming language","score_opus":0.06489558896227246,"score_gpt":0.2892761182494512,"score_spread":0.22438052928717875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189866352","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027027875,0.00043624753,0.9548295,0.001847982,0.00013537976,0.00007682388,0.00040286322,0.00039387407,0.039174628],"genre_scores_gemma":[0.22441818,0.0013781149,0.74899065,0.0009187091,0.00037720613,0.0007635959,0.0010861759,0.0005001708,0.021567162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99634993,0.0012961642,0.00034583078,0.00060001627,0.0012328182,0.00017516625],"domain_scores_gemma":[0.9974927,0.0013386806,0.00018471238,0.00044370157,0.00042286044,0.00011748223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003657974,0.0013719257,0.0009992903,0.0028559363,0.0024757958,0.0057645272,0.0029483556,0.0024960143,0.011910363],"category_scores_gemma":[0.007327106,0.0010563058,0.003044869,0.0024700547,0.006601422,0.013429227,0.0038738176,0.005035196,0.0020145683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003873769,0.00000323672,0.000017305536,0.000018336304,0.000006335565,0.000025492838,0.00012664714,0.00201038,0.00005835074,0.9944301,0.00057599065,0.0027240082],"study_design_scores_gemma":[0.000005980836,0.0000028161894,0.000022311944,0.000025792173,0.00000779555,0.000039690345,0.0000450754,0.008983541,0.00013136902,0.97640455,0.014321056,0.000010008233],"about_ca_topic_score_codex":0.007622476,"about_ca_topic_score_gemma":0.008601833,"teacher_disagreement_score":0.011910363,"about_ca_system_score_codex":0.004197053,"about_ca_system_score_gemma":0.0023347426,"threshold_uncertainty_score":0.039844096},"labels":[],"label_agreement":null},{"id":"W1903121390","doi":"10.1007/978-3-642-02454-2_1","title":"Using Causality Relationships for a Progressive Management of Hazardous Phenomena with Sensor Networks","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Causality (physics); Hazardous waste; Scope (computer science); Representation (politics); Event (particle physics); Process (computing); ENCODE; Set (abstract data type); Semantics (computer science); Wireless sensor network; Identification (biology); Data mining; Data science; Risk analysis (engineering)","score_opus":0.055202250212790294,"score_gpt":0.2832520054248171,"score_spread":0.2280497552120268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1903121390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033245725,0.00031094477,0.9902395,0.00022807269,0.00008477053,0.00006576987,0.00010507891,0.0010584485,0.004582881],"genre_scores_gemma":[0.21776628,0.0016675201,0.7738647,0.00016481595,0.00014889624,0.0001742285,0.00055724673,0.00036245008,0.0052938764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99874806,0.00034110446,0.00015255834,0.00023792658,0.0004332678,0.000087126464],"domain_scores_gemma":[0.9976507,0.0012104699,0.0002453833,0.00044125118,0.0003439628,0.000108325956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026175801,0.0010206297,0.0006742069,0.0022336673,0.0012348561,0.002775832,0.0019292324,0.00097133877,0.0051306756],"category_scores_gemma":[0.006027837,0.00065842725,0.0011333104,0.0021328472,0.0014866946,0.0068130507,0.0029082058,0.0019633286,0.0008055649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016560158,0.00018899603,0.0018703704,0.0005939063,0.0001434321,0.0004104542,0.0008436917,0.1887768,0.01078716,0.42316154,0.0059413775,0.36711654],"study_design_scores_gemma":[0.000034444718,0.00006617068,0.00055452815,0.0001399698,0.00018847178,0.00023372471,0.00024854467,0.5357051,0.013069074,0.39948645,0.050198752,0.00007479915],"about_ca_topic_score_codex":0.0036353285,"about_ca_topic_score_gemma":0.0077584214,"teacher_disagreement_score":0.0051306756,"about_ca_system_score_codex":0.00083921675,"about_ca_system_score_gemma":0.0016409486,"threshold_uncertainty_score":0.017163813},"labels":[],"label_agreement":null},{"id":"W190481531","doi":"","title":"An ordered theory resolution calculus for hybrid reasoning in first-order extensions of description logic","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Automated theorem proving; Soundness; Automated reasoning; Computer science; Natural deduction; First-order logic; Completeness (order theory); Resolution (logic); Description logic; Calculus (dental); Programming language; Context (archaeology); Inference; Gödel's completeness theorem; Fragment (logic); Artificial intelligence; Mathematics; Discrete mathematics","score_opus":0.02395656221713579,"score_gpt":0.26140891273372036,"score_spread":0.23745235051658456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W190481531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035566702,0.00037380517,0.98735565,0.00055861764,0.00023858015,0.00013397627,0.00013366704,0.00077111257,0.006877799],"genre_scores_gemma":[0.14381064,0.0008001022,0.845247,0.0006433258,0.0003780576,0.00035108943,0.0005041862,0.00028727882,0.00797832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947466,0.0015067849,0.00048739227,0.00054431666,0.0023090278,0.00040585749],"domain_scores_gemma":[0.99413186,0.003533524,0.00024349947,0.0009966505,0.0008076285,0.00028672427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077862255,0.0006624925,0.0010863406,0.002446435,0.002952554,0.0054902975,0.0033168113,0.0015860369,0.0047511533],"category_scores_gemma":[0.010996522,0.0010520999,0.003189436,0.0025386408,0.005429582,0.007661882,0.005661865,0.004601659,0.0011675417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020242001,0.000036578833,0.00012058781,0.000059674283,0.000025289064,0.00017626576,0.00027644602,0.0039482396,0.00086824206,0.97806543,0.0015750678,0.014827879],"study_design_scores_gemma":[0.00005400457,0.00002414301,0.000085128835,0.00005066191,0.000078466706,0.00016629677,0.00010160487,0.06482074,0.0032936498,0.90674174,0.024526518,0.000057133886],"about_ca_topic_score_codex":0.00454521,"about_ca_topic_score_gemma":0.0059602186,"teacher_disagreement_score":0.0077862255,"about_ca_system_score_codex":0.0030020901,"about_ca_system_score_gemma":0.004278379,"threshold_uncertainty_score":0.041177988},"labels":[],"label_agreement":null},{"id":"W190641866","doi":"10.54886/ibersid.v1i.3322","title":"Ontologies and the Semantic Web: Problems and Perspectives for LIS Professionals","year":2007,"lang":"es","type":"article","venue":"Ibersid revista de sistemas de información y documentación","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Semantic Web; Humanities; Library science; World Wide Web; Computer science; Art","score_opus":0.021551281708916712,"score_gpt":0.2971959699935891,"score_spread":0.27564468828467237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W190641866","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016133893,0.16718695,0.21626706,0.47593486,0.0037188842,0.000075877026,0.00029187812,0.00070171204,0.11968897],"genre_scores_gemma":[0.42826,0.23524313,0.2403921,0.038298853,0.008244239,0.00045593813,0.00072345516,0.00063739746,0.04774482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9893299,0.0062973723,0.00067748147,0.0006517448,0.0024350255,0.0006085149],"domain_scores_gemma":[0.9822969,0.011709389,0.0007050851,0.0014627366,0.0027141243,0.0011117856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020675188,0.00084673316,0.0012562345,0.007948522,0.0064918115,0.025237104,0.0021348342,0.0075609577,0.005903069],"category_scores_gemma":[0.014434036,0.00059209985,0.0011770575,0.011458703,0.022467827,0.05417068,0.008707515,0.007288787,0.0014465986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018406457,0.00003109446,0.0005672051,0.00038847976,0.00001644457,0.0001609377,0.0048125545,0.0006388751,0.00014213542,0.9217442,0.011982675,0.059496906],"study_design_scores_gemma":[0.000005276727,0.000010457111,0.0002820781,0.0005435168,0.000009143515,0.00016689146,0.013548287,0.001964316,0.00017746016,0.84177697,0.14149481,0.000020810276],"about_ca_topic_score_codex":0.010153485,"about_ca_topic_score_gemma":0.009330833,"teacher_disagreement_score":0.025237104,"about_ca_system_score_codex":0.008037004,"about_ca_system_score_gemma":0.009808107,"threshold_uncertainty_score":0.1093421},"labels":[],"label_agreement":null},{"id":"W191266118","doi":"10.17705/1jais.00115","title":"How To Build Enterprise Data Models To Achieve Compliance To Standards Or Regulatory Requirements (and share data).","year":2007,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Computer science; Ontology; Enterprise data management; Semantic Web; Business rule; Enterprise information system; Knowledge management; Software engineering; Data science; Business process; World Wide Web; Business","score_opus":0.13243791097972865,"score_gpt":0.3481231449114161,"score_spread":0.21568523393168745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W191266118","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049013044,0.00039604382,0.9737496,0.0077277003,0.00022595745,0.0006589698,0.0009420988,0.0012595396,0.0101389345],"genre_scores_gemma":[0.046982013,0.0007202122,0.94522667,0.001055163,0.00008040522,0.0005993052,0.002872032,0.00041447402,0.002049736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9742026,0.010039573,0.0034806922,0.0024376055,0.009089854,0.00074973656],"domain_scores_gemma":[0.95179456,0.013277854,0.0033232565,0.02198823,0.008901643,0.0007145082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03400555,0.0009746895,0.0010304521,0.004800324,0.0026050305,0.012510359,0.0038446651,0.004210101,0.002990427],"category_scores_gemma":[0.07696345,0.0017338656,0.00334729,0.0042909984,0.004057595,0.02330444,0.007274039,0.0054807817,0.0028979545],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035825535,0.00023874204,0.0031562885,0.0006399661,0.0002488557,0.00021227374,0.0019171912,0.03321213,0.0026019798,0.8493409,0.014084599,0.09431126],"study_design_scores_gemma":[0.000048045757,0.00007229986,0.0011115526,0.0012556143,0.00015644093,0.00036449794,0.0017588064,0.107303925,0.006366158,0.670922,0.2104701,0.00017060619],"about_ca_topic_score_codex":0.010022286,"about_ca_topic_score_gemma":0.010230089,"teacher_disagreement_score":0.03400555,"about_ca_system_score_codex":0.0037363288,"about_ca_system_score_gemma":0.014197445,"threshold_uncertainty_score":0.17984068},"labels":[],"label_agreement":null},{"id":"W1917544871","doi":"10.1111/j.1467-9671.2009.01172.x","title":"SIM‐NET: A View‐Based Semantic Similarity Model for<i>Ad Hoc</i>Networks of Geospatial Databases","year":2009,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Resources Canada; Centre de Géomatique du Québec","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Semantic similarity; Computer science; Semantic interoperability; Information retrieval; Semantic computing; Semantic integration; Semantic grid; Geospatial analysis; Semantic heterogeneity; Explicit semantic analysis; Similarity (geometry); Semantic technology; Interoperability; Artificial intelligence; Semantic Web; Geography; World Wide Web; Ontology-based data integration","score_opus":0.043761830810105595,"score_gpt":0.29160610278647975,"score_spread":0.24784427197637415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917544871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013052666,0.00019119322,0.98097014,0.00039048636,0.00003999381,0.00008693034,0.00022049272,0.00031484247,0.0047332584],"genre_scores_gemma":[0.6190211,0.00045562678,0.37476975,0.00022598235,0.00007275495,0.00032646366,0.00085936533,0.00009071501,0.0041782204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982343,0.0006213454,0.00016754128,0.0002589516,0.00063483854,0.00008302449],"domain_scores_gemma":[0.99855703,0.0005006356,0.00020194192,0.00023013979,0.00038805563,0.00012226596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022289688,0.00041480892,0.00066012534,0.0019640585,0.0008097069,0.0027087578,0.002111403,0.00107423,0.0023169355],"category_scores_gemma":[0.0036132634,0.00026494192,0.0009906759,0.002060444,0.0013955442,0.0060308664,0.0020903382,0.00098321,0.00046197322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013271939,0.00008660365,0.0012751715,0.00010154204,0.00006035142,0.00032906904,0.00033005074,0.2721974,0.0014287465,0.6818493,0.0027705305,0.0394386],"study_design_scores_gemma":[0.000010353616,0.000025822043,0.00010190284,0.000017342665,0.0000118362495,0.00008925898,0.00006694133,0.86999863,0.00058661756,0.12434813,0.004733527,0.00000965157],"about_ca_topic_score_codex":0.003859354,"about_ca_topic_score_gemma":0.003056555,"teacher_disagreement_score":0.003859354,"about_ca_system_score_codex":0.002057823,"about_ca_system_score_gemma":0.0010418539,"threshold_uncertainty_score":0.014930606},"labels":[],"label_agreement":null},{"id":"W1923876550","doi":"10.3233/aic-2010-0456","title":"Practical reasoning with qualified number restrictions: A hybrid Abox calculus for the description logic 𝒮ℋ𝒬","year":2010,"lang":"en","type":"article","venue":"AI Communications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Semantic reasoner; Axiom; Satisfiability; Consistency (knowledge bases); Answer set programming; Calculus (dental); Set (abstract data type); Theoretical computer science; Programming language; Mathematics; Artificial intelligence","score_opus":0.09288807929691535,"score_gpt":0.3745368120801877,"score_spread":0.28164873278327235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1923876550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008294542,0.00014339181,0.98333687,0.00041103354,0.000089865905,0.00005762244,0.00009908279,0.00034547923,0.007222179],"genre_scores_gemma":[0.27489892,0.00034264298,0.7161778,0.00035570085,0.0001315422,0.0001647984,0.00025674325,0.00013830989,0.007533499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99789536,0.000595531,0.00016603828,0.00030861667,0.00082114805,0.00021325472],"domain_scores_gemma":[0.9981687,0.0010842563,0.00008116871,0.00032463367,0.00022109714,0.000120162134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034151508,0.0005231009,0.00065509137,0.0010914796,0.0016275567,0.0033791296,0.0021326372,0.0012027812,0.0038099724],"category_scores_gemma":[0.0033053649,0.000740753,0.0019082087,0.00096947205,0.0040497654,0.007291204,0.0030376113,0.0022065444,0.0005604075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018192666,0.0000143966345,0.00010042888,0.000034463148,0.000012559111,0.00013102405,0.00032807956,0.0032933098,0.0011829295,0.98497885,0.00069016614,0.009215481],"study_design_scores_gemma":[0.00004317512,0.000025024998,0.00007860911,0.000033211025,0.000043329805,0.00016008691,0.00012972903,0.048423633,0.0024831865,0.92714065,0.021400543,0.00003884381],"about_ca_topic_score_codex":0.005194974,"about_ca_topic_score_gemma":0.0050739194,"teacher_disagreement_score":0.005194974,"about_ca_system_score_codex":0.0019740823,"about_ca_system_score_gemma":0.0017488885,"threshold_uncertainty_score":0.01806128},"labels":[],"label_agreement":null},{"id":"W1928525277","doi":"10.6082/r335k-e3h07","title":"Exploratory Search Interfaces for the UNESCO Multilingual Digital Library: Combining Visualization and Semantics","year":2011,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Thesaurus; Visualization; Semantics (computer science); Interface (matter); Information retrieval; Digital library; World Wide Web; Space (punctuation); Tag cloud; User interface; Human–computer interaction; Natural language processing; Artificial intelligence; Linguistics","score_opus":0.04720525066223798,"score_gpt":0.24777655109025404,"score_spread":0.20057130042801607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1928525277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104668416,0.0020316117,0.8469084,0.0013305953,0.000055279914,0.00049632427,0.0009965652,0.0137480805,0.0297648],"genre_scores_gemma":[0.3126312,0.0011770679,0.6764725,0.00026720436,0.00003547953,0.0005184869,0.0011344939,0.0012953269,0.006468249],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992878,0.00030210512,0.00006187882,0.00007114951,0.00023229036,0.000044922162],"domain_scores_gemma":[0.99756217,0.001774417,0.00012081867,0.00016595024,0.00027145317,0.00010510041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018321581,0.0008416593,0.00048698572,0.0021963592,0.0005877578,0.0036522124,0.0008285661,0.00058514747,0.004558011],"category_scores_gemma":[0.0053868126,0.00039945677,0.0006481925,0.0013343996,0.0005699954,0.003769455,0.003247309,0.00052073516,0.00075653236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016517998,0.0003430096,0.0058385446,0.0024351259,0.0001890828,0.00209234,0.043129105,0.010639469,0.10112092,0.07420136,0.027309561,0.7310498],"study_design_scores_gemma":[0.00046308947,0.000788962,0.015365326,0.0025931634,0.0004759917,0.0032908688,0.017637605,0.20506725,0.078080595,0.08562839,0.5900069,0.00060184416],"about_ca_topic_score_codex":0.0026236386,"about_ca_topic_score_gemma":0.0046887067,"teacher_disagreement_score":0.004558011,"about_ca_system_score_codex":0.0006775644,"about_ca_system_score_gemma":0.0006709516,"threshold_uncertainty_score":0.015248001},"labels":[],"label_agreement":null},{"id":"W193204283","doi":"","title":"Towards practical taxonomic classification for description logics on the Semantic Web","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Description logic; Computer science; Semantics (computer science); Semantic Web; Knowledge representation and reasoning; Artificial intelligence; Hierarchy; Circumscription; Representation (politics); Natural language processing; Programming language","score_opus":0.1786787018247072,"score_gpt":0.3152152275140798,"score_spread":0.13653652568937263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W193204283","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003998643,0.00013420967,0.99306136,0.0008640068,0.000022147944,0.00016361572,0.00007339131,0.00061402784,0.0010686214],"genre_scores_gemma":[0.030604905,0.00020969826,0.96723986,0.0003268393,0.000044655048,0.00018121878,0.00046862825,0.00012668253,0.0007974714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98389316,0.0065149954,0.0016579232,0.0014765089,0.005677364,0.0007801236],"domain_scores_gemma":[0.95326865,0.030447904,0.0019696604,0.0071276533,0.006399533,0.0007865342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017975397,0.0011168678,0.0015013146,0.005003718,0.0033647874,0.008217011,0.0038824216,0.0030493392,0.003368911],"category_scores_gemma":[0.060885094,0.0016669743,0.00323911,0.0049724714,0.0040050284,0.020386374,0.0069899736,0.006957309,0.0012746983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011936545,0.00015558899,0.0014978389,0.00031806057,0.000056057834,0.00012740532,0.00089966843,0.035037067,0.002512799,0.70123315,0.00717058,0.25087246],"study_design_scores_gemma":[0.00003741775,0.000022064076,0.0001493999,0.00010527216,0.000026828828,0.00009806139,0.00035586784,0.32554328,0.00228969,0.66090155,0.010443067,0.000027482687],"about_ca_topic_score_codex":0.0071737366,"about_ca_topic_score_gemma":0.01201743,"teacher_disagreement_score":0.017975397,"about_ca_system_score_codex":0.0064356993,"about_ca_system_score_gemma":0.0057068137,"threshold_uncertainty_score":0.09506416},"labels":[],"label_agreement":null},{"id":"W194163205","doi":"10.3233/978-1-60750-044-5-399","title":"An RDF-Based Mediator for Health Data Interoperability","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"RDF; Computer science; RDF/XML; XML; Information retrieval; Metadata; RDF Schema; Document Structure Description; Database; SPARQL; World Wide Web; Semantic Web","score_opus":0.12055918318009864,"score_gpt":0.44195909078460077,"score_spread":0.3213999076045021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194163205","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023705305,0.00047741758,0.97849244,0.0024829174,0.0002835593,0.0006496316,0.0004446216,0.002434408,0.012364437],"genre_scores_gemma":[0.078339346,0.000668627,0.9059764,0.0018366992,0.00017443109,0.00088980683,0.0026425903,0.00054109585,0.0089310715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9922186,0.003953947,0.0009891153,0.0008849072,0.0016622324,0.00029125012],"domain_scores_gemma":[0.99403054,0.0026861443,0.00027032298,0.001629448,0.001102353,0.0002811488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017275184,0.0006054568,0.001065091,0.0018796579,0.0019374542,0.0047270455,0.0032386775,0.0029763838,0.0058996645],"category_scores_gemma":[0.013851287,0.00064251036,0.0018495938,0.0016485143,0.0014759753,0.0079475,0.0065271175,0.0023270783,0.0024242003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042941255,0.00036959085,0.0014084313,0.00074431696,0.00033210067,0.0026251178,0.002846859,0.011363802,0.01185073,0.81512177,0.026930453,0.12597741],"study_design_scores_gemma":[0.00029473065,0.0001540982,0.00062802393,0.0006639793,0.00031497248,0.0015592031,0.0013864592,0.10254638,0.02773605,0.38527927,0.47923696,0.00019983521],"about_ca_topic_score_codex":0.0018827771,"about_ca_topic_score_gemma":0.0013957449,"teacher_disagreement_score":0.017275184,"about_ca_system_score_codex":0.0013913481,"about_ca_system_score_gemma":0.003551991,"threshold_uncertainty_score":0.091360986},"labels":[],"label_agreement":null},{"id":"W1942076951","doi":"10.1007/978-3-319-08389-6_8","title":"A Framework for Qualitative Representation and Reasoning about Spatiotemporal Patterns","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Representation (politics); Domain (mathematical analysis); Context (archaeology); Expressive power; Qualitative reasoning; Artificial intelligence; Data science; Human–computer interaction; Theoretical computer science","score_opus":0.045816653687028815,"score_gpt":0.3466423734625906,"score_spread":0.3008257197755618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942076951","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044073246,0.00013183893,0.99632543,0.0002058165,0.000027939366,0.000072357056,0.00038770348,0.0005542702,0.001853856],"genre_scores_gemma":[0.03175282,0.00044673894,0.96330076,0.00013862469,0.000057327437,0.00038530774,0.0012956675,0.00019286352,0.0024298725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99767154,0.00058546604,0.000373668,0.00046958958,0.0007344026,0.0001653343],"domain_scores_gemma":[0.9969427,0.0013294627,0.0002662329,0.00069597637,0.0006254806,0.00014014245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040387237,0.0012738087,0.0012137209,0.004138641,0.0019804414,0.006320821,0.004313594,0.0017270147,0.00940674],"category_scores_gemma":[0.009166209,0.0013347479,0.003945898,0.005135846,0.0037879252,0.010254528,0.0043597776,0.0029098338,0.0025019145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028082419,0.000029918048,0.00017696107,0.00021918832,0.0000392128,0.00014721659,0.0005334319,0.014799342,0.0011756897,0.93853456,0.004317676,0.039998706],"study_design_scores_gemma":[0.000015998761,0.000012693435,0.00007294335,0.00008020097,0.00003959686,0.00009322801,0.00020734334,0.073611885,0.0011560785,0.8980131,0.02666616,0.00003072027],"about_ca_topic_score_codex":0.020263487,"about_ca_topic_score_gemma":0.01638249,"teacher_disagreement_score":0.020263487,"about_ca_system_score_codex":0.002778464,"about_ca_system_score_gemma":0.0033572388,"threshold_uncertainty_score":0.04029107},"labels":[],"label_agreement":null},{"id":"W1942339129","doi":"10.4230/dagsemproc.05151.9","title":"Temporal information extraction from legal documents","year":2005,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thomson Reuters (Canada)","funders":"","keywords":"Computer science; Information extraction; Statute; Transactional leadership; Information retrieval; Political science; Law","score_opus":0.010853852381888143,"score_gpt":0.26421046648498087,"score_spread":0.25335661410309274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942339129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07045128,0.010383602,0.81427336,0.0027713948,0.0009226154,0.0013260542,0.049608063,0.012345152,0.037918538],"genre_scores_gemma":[0.15142088,0.007547992,0.7575111,0.0002689926,0.0004172645,0.00065208954,0.07129454,0.0008623653,0.010024772],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980375,0.0002658533,0.0003687103,0.00033189225,0.0008535737,0.00014254022],"domain_scores_gemma":[0.9944952,0.002353708,0.00065503665,0.00073317956,0.0016289959,0.00013378999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011931055,0.0008890683,0.00090458075,0.0148577355,0.0014515857,0.0027446358,0.0009843445,0.0009848526,0.00554033],"category_scores_gemma":[0.009090933,0.00062100915,0.0012008899,0.014624318,0.00060970866,0.00419993,0.0013601617,0.001395374,0.003344326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045979567,0.00019958771,0.00373068,0.00273183,0.00012604476,0.0024258825,0.0013067338,0.0044359067,0.03413846,0.04859794,0.037874777,0.8639723],"study_design_scores_gemma":[0.00014466455,0.0001731951,0.0116924,0.0016439286,0.0005800466,0.005510703,0.0028065802,0.08809011,0.14316489,0.10215423,0.6437433,0.00029593043],"about_ca_topic_score_codex":0.0062389052,"about_ca_topic_score_gemma":0.004880088,"teacher_disagreement_score":0.0148577355,"about_ca_system_score_codex":0.0012141451,"about_ca_system_score_gemma":0.0025754855,"threshold_uncertainty_score":0.018534303},"labels":[],"label_agreement":null},{"id":"W19438958","doi":"10.1111/j.1708-8208.2009.00172.x","title":"Ontology Enrichment and Automatic Population From XML Data.","year":2008,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; XML; Information retrieval; World Wide Web","score_opus":0.27017587013706246,"score_gpt":0.4698509373797995,"score_spread":0.19967506724273704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W19438958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022050394,0.00053311314,0.92670095,0.00071042345,0.00015463354,0.0006050203,0.013428878,0.031254753,0.0045618466],"genre_scores_gemma":[0.081212625,0.0005032971,0.8627847,0.00027801876,0.000052395193,0.00061008934,0.049690966,0.0012577694,0.0036101467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998309,0.00036780638,0.00022486212,0.00041793069,0.00058726437,0.00009318724],"domain_scores_gemma":[0.9964897,0.0017032967,0.00028892292,0.0006725384,0.0007413948,0.00010411518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027129268,0.00066605484,0.0006578749,0.0055471123,0.0012951092,0.0024975627,0.0011386399,0.00094376085,0.003689486],"category_scores_gemma":[0.010610085,0.00048466862,0.001529192,0.0041899066,0.00045814802,0.00297557,0.002468618,0.0012449974,0.003179287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036898113,0.00035053707,0.01273891,0.0012696519,0.00026112344,0.0008162603,0.001596872,0.006465121,0.03090256,0.027967878,0.04388973,0.87337226],"study_design_scores_gemma":[0.00013205086,0.00017140538,0.024804527,0.000801371,0.0005389487,0.0026629828,0.0027931412,0.3826086,0.07999419,0.11984242,0.3854256,0.00022474909],"about_ca_topic_score_codex":0.008176994,"about_ca_topic_score_gemma":0.012175181,"teacher_disagreement_score":0.008176994,"about_ca_system_score_codex":0.0011011338,"about_ca_system_score_gemma":0.0025343362,"threshold_uncertainty_score":0.016258776},"labels":[],"label_agreement":null},{"id":"W1945757731","doi":"10.3233/fi-2013-871","title":"Decomposition of Relations and Concept Lattices","year":2013,"lang":"en","type":"article","venue":"Fundamenta Informaticae","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Decomposition; Computer science; Theoretical computer science; Mathematics; Algebra over a field; Pure mathematics; Chemistry","score_opus":0.012461757959239815,"score_gpt":0.2571450207368841,"score_spread":0.2446832627776443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1945757731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07051831,0.0043923105,0.84535897,0.0014333172,0.00031565758,0.00014126264,0.0005583049,0.00037686678,0.076905005],"genre_scores_gemma":[0.5681134,0.0017073186,0.40842524,0.00035510704,0.00028623675,0.00023706924,0.0010632633,0.00012582597,0.019686578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983652,0.0004628604,0.00011400446,0.0003580889,0.0005061659,0.00019360014],"domain_scores_gemma":[0.99909127,0.00024776653,0.000117090654,0.00018198366,0.00020838619,0.00015346002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015843766,0.0006387834,0.0004224255,0.0017791342,0.0009937453,0.0031738288,0.00068663555,0.0005658689,0.0048255385],"category_scores_gemma":[0.0018414397,0.00039004572,0.0010016933,0.0014444847,0.0034689114,0.0049981093,0.0024145572,0.0018183404,0.00091483985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000104646415,0.000007741202,0.00006115972,0.000027728818,0.000003952447,0.000037915477,0.00031672395,0.00064520485,0.00060250476,0.99411786,0.00034080804,0.0038279642],"study_design_scores_gemma":[0.000009561324,0.000020150066,0.00014177825,0.000025500389,0.000006158413,0.00016495856,0.00021037302,0.0059902696,0.0006729972,0.97101957,0.02172973,0.000009061419],"about_ca_topic_score_codex":0.0014830282,"about_ca_topic_score_gemma":0.0011412753,"teacher_disagreement_score":0.0048255385,"about_ca_system_score_codex":0.0018070311,"about_ca_system_score_gemma":0.00088860263,"threshold_uncertainty_score":0.016143024},"labels":[],"label_agreement":null},{"id":"W195397823","doi":"","title":"Term based comparison metrics for controlled and uncontrolled indexing languages","year":2009,"lang":"en","type":"article","venue":"Information Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Humanities; Art","score_opus":0.07216172894303272,"score_gpt":0.41519392514370024,"score_spread":0.3430321962006675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195397823","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09641949,0.0043153767,0.86514145,0.00053144264,0.0006443071,0.0017463398,0.008651946,0.0074183065,0.01513141],"genre_scores_gemma":[0.39995024,0.0007936845,0.57341444,0.00024238143,0.00017922642,0.0026602529,0.012500033,0.0016661168,0.008593598],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97518694,0.007575596,0.00451128,0.0027459492,0.009381187,0.0005991564],"domain_scores_gemma":[0.9633646,0.017951269,0.0041647363,0.0062074154,0.0076202294,0.00069169776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012468404,0.0011194475,0.0012149359,0.0065169553,0.0011567463,0.005647556,0.0023492442,0.0012461429,0.0074541103],"category_scores_gemma":[0.04853872,0.00040779173,0.0015216324,0.0057466626,0.0015545676,0.0073943576,0.0033107009,0.001213032,0.0016919329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002770366,0.0005298769,0.01573602,0.0032972535,0.00046376672,0.00030056326,0.0018575994,0.027090685,0.036812194,0.13041012,0.014653182,0.76607835],"study_design_scores_gemma":[0.000732281,0.0041259374,0.0356397,0.0011097458,0.0005651022,0.0016933733,0.0024263244,0.4054347,0.09443313,0.28206605,0.17107277,0.00070094987],"about_ca_topic_score_codex":0.004315415,"about_ca_topic_score_gemma":0.0042722975,"teacher_disagreement_score":0.012468404,"about_ca_system_score_codex":0.003193532,"about_ca_system_score_gemma":0.0032081262,"threshold_uncertainty_score":0.06593996},"labels":[],"label_agreement":null},{"id":"W195980548","doi":"10.1007/978-3-642-03722-1_2","title":"A Universal Metamodel and Its Dictionary","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Metamodeling; Schema (genetic algorithms); Semi-structured model; XML; Document Structure Description; Unified Modeling Language; Relational database; Relational model; Database schema; Programming language; Representation (politics); XML Schema (W3C); Class diagram; Information retrieval; Entity–relationship model; Natural language processing; Artificial intelligence; Theoretical computer science; Database design; Database model; Document type definition; Software; World Wide Web","score_opus":0.01986922022753037,"score_gpt":0.23266272811304622,"score_spread":0.21279350788551585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195980548","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043135635,0.0058705923,0.8979143,0.004029233,0.0013487587,0.0001534199,0.0014124967,0.0019904708,0.08296717],"genre_scores_gemma":[0.119716845,0.010675516,0.7947919,0.0028736298,0.0011130616,0.0006462104,0.0037064815,0.002366515,0.06410982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99835855,0.00036578364,0.00036428703,0.00042282828,0.00036096177,0.00012759192],"domain_scores_gemma":[0.9985499,0.00038832737,0.0000822071,0.0006209411,0.00027566345,0.00008283748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022612184,0.00087624224,0.0014403317,0.004762847,0.0026275183,0.0051336433,0.0023251737,0.0021866113,0.0078065237],"category_scores_gemma":[0.0036542693,0.0010371899,0.0018745798,0.006894677,0.005565484,0.015604824,0.0037246908,0.0046652933,0.0033411137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054258567,0.000008964874,0.00003591158,0.00007176828,0.0000042651036,0.000032564516,0.00033902956,0.00020736523,0.0002528456,0.9749566,0.0042527243,0.019832538],"study_design_scores_gemma":[0.000006502625,0.000011071513,0.000066545996,0.00022242776,0.000020029303,0.00028869484,0.00015160357,0.0017241469,0.0006221434,0.6722585,0.32460815,0.000020214598],"about_ca_topic_score_codex":0.0031253847,"about_ca_topic_score_gemma":0.0026704622,"teacher_disagreement_score":0.0078065237,"about_ca_system_score_codex":0.0022315173,"about_ca_system_score_gemma":0.0025557724,"threshold_uncertainty_score":0.026115358},"labels":[],"label_agreement":null},{"id":"W1961849562","doi":"10.1007/s13218-015-0399-3","title":"Abductive Conjunctive Query Answering w.r.t. Ontologies","year":2015,"lang":"en","type":"article","venue":"KI - Künstliche Intelligenz","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Conjunctive query; Computer science; Question answering; Abductive reasoning; Information retrieval; Query expansion; Perspective (graphical); Boolean conjunctive query; Query language; Feature (linguistics); Key (lock); Query optimization; Web search query; Web query classification; Search engine; Artificial intelligence; Relational database","score_opus":0.09401379178979191,"score_gpt":0.2892354825306391,"score_spread":0.19522169074084716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1961849562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013284272,0.0008093147,0.9710477,0.001567189,0.00010204762,0.00025844466,0.0013961025,0.0028702412,0.00866461],"genre_scores_gemma":[0.33294845,0.001031121,0.6532922,0.00091642124,0.00031067643,0.00032188775,0.0048643644,0.00038038907,0.0059345546],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9905544,0.0033373246,0.0011983061,0.0016063806,0.002662859,0.0006406728],"domain_scores_gemma":[0.98035,0.014486455,0.0006743622,0.0025348621,0.0017283809,0.00022599917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005708123,0.0014823441,0.0018992262,0.003275021,0.0014068573,0.005482061,0.0030771655,0.0023209476,0.0070286286],"category_scores_gemma":[0.028359922,0.0011526512,0.0028591212,0.0044451985,0.002294165,0.007732354,0.0055901106,0.0028899082,0.0021404366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014160287,0.0005642137,0.0033621443,0.0021317436,0.0009399254,0.002439901,0.0020675657,0.15514548,0.012321368,0.28015277,0.036245476,0.5032134],"study_design_scores_gemma":[0.00010995642,0.00006313351,0.0004992893,0.00012077686,0.00025174473,0.00045525582,0.0005509166,0.5191687,0.0057871863,0.46331614,0.009632566,0.00004439854],"about_ca_topic_score_codex":0.009206112,"about_ca_topic_score_gemma":0.013528203,"teacher_disagreement_score":0.009206112,"about_ca_system_score_codex":0.0014718573,"about_ca_system_score_gemma":0.002306312,"threshold_uncertainty_score":0.030187845},"labels":[],"label_agreement":null},{"id":"W1964143224","doi":"10.1145/1569901.1570197","title":"Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Computer science; Representation (politics); Maximization; Expectation–maximization algorithm; Data mining; Information retrieval; Theoretical computer science; Maximum likelihood; Mathematics; Mathematical optimization; Statistics","score_opus":0.022461977077935857,"score_gpt":0.2487634801993739,"score_spread":0.22630150312143804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964143224","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064339093,0.00007157714,0.9923649,0.000074903466,0.000012163965,0.000025001313,0.000009185837,0.00018719235,0.0008211613],"genre_scores_gemma":[0.22271565,0.00013555866,0.7745411,0.00020556366,0.000037706734,0.00026529797,0.000102395425,0.00015151822,0.0018452995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987286,0.00061197917,0.00007629481,0.00017492443,0.00033376462,0.00007449795],"domain_scores_gemma":[0.9980313,0.0013970762,0.00011388485,0.00016945685,0.00023663137,0.000051684867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029529724,0.000774078,0.00091205817,0.0008264281,0.00048160518,0.0007306308,0.001578685,0.0011947089,0.001711358],"category_scores_gemma":[0.007049639,0.00048093445,0.0009594827,0.0008121929,0.0008924056,0.0013868384,0.0017377324,0.0011193419,0.00043141883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013012791,0.00017883121,0.0014935416,0.00012966187,0.00013077007,0.00019602965,0.00025573766,0.7129919,0.0070324237,0.078987785,0.0015767483,0.19689652],"study_design_scores_gemma":[0.000011661754,0.000024737166,0.00008921357,0.000004849488,0.000008700456,0.000025965352,0.0000057783573,0.98830706,0.00088220334,0.010000302,0.0006332446,0.0000063057064],"about_ca_topic_score_codex":0.0022922866,"about_ca_topic_score_gemma":0.0023038613,"teacher_disagreement_score":0.0029529724,"about_ca_system_score_codex":0.0009485757,"about_ca_system_score_gemma":0.0010051022,"threshold_uncertainty_score":0.015617013},"labels":[],"label_agreement":null},{"id":"W1964256409","doi":"10.1002/meet.14504301261","title":"Linking and thinking: The use of typed informational relationships in aid of semantic navigation","year":2006,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Coherence (philosophical gambling strategy); Hypertext; Comprehension; Meaning (existential); Semantics (computer science); World Wide Web; Human–computer interaction; Taxonomy (biology); Semantic Web; Information retrieval; Psychology; Programming language","score_opus":0.026646913041490024,"score_gpt":0.24845555912951303,"score_spread":0.221808646088023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964256409","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41158494,0.0005109967,0.5006054,0.002287128,0.00019407808,0.0002433465,0.00015678066,0.0024462522,0.08197106],"genre_scores_gemma":[0.8071066,0.0002736631,0.18881756,0.0001892125,0.000031011612,0.00008306914,0.00008523524,0.00014644975,0.003267293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974031,0.0019108168,0.00014154325,0.0001792034,0.00027865847,0.00008671018],"domain_scores_gemma":[0.9762916,0.017949432,0.0014449934,0.0025794676,0.0012548406,0.0004796052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035926346,0.00041250818,0.00023706997,0.001946506,0.0008911777,0.0048854104,0.0008701975,0.0009902838,0.0037339334],"category_scores_gemma":[0.023687534,0.0003196817,0.00032474406,0.0018692103,0.00299779,0.010299932,0.0023693352,0.000863821,0.00066400704],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071823865,0.00055111165,0.018077677,0.0010413174,0.000060194474,0.0013902483,0.06598257,0.004629867,0.037369024,0.45639387,0.0048612948,0.40892458],"study_design_scores_gemma":[0.0002259079,0.0011459308,0.013716853,0.00091989344,0.00043702038,0.004353374,0.03073471,0.113209955,0.059206914,0.6337706,0.14194699,0.00033197092],"about_ca_topic_score_codex":0.0007215411,"about_ca_topic_score_gemma":0.0011584918,"teacher_disagreement_score":0.0048854104,"about_ca_system_score_codex":0.00045490958,"about_ca_system_score_gemma":0.0009028358,"threshold_uncertainty_score":0.018999934},"labels":[],"label_agreement":null},{"id":"W1965104639","doi":"10.1109/nafips.2012.6291019","title":"Fuzzy semantic similarity in linked data using the OWA operator","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Semantic similarity; Weighting; Similarity (geometry); Measure (data warehouse); Operator (biology); Computer science; Data mining; Similarity measure; Feature (linguistics); Fuzzy logic; Artificial intelligence; Fuzzy set; Function (biology); Mathematics; Pattern recognition (psychology)","score_opus":0.1526355800200594,"score_gpt":0.33980090638321025,"score_spread":0.18716532636315086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965104639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01668107,0.00024019319,0.98181057,0.000080727485,0.000032041888,0.00005665616,0.000057832807,0.0001396551,0.0009013384],"genre_scores_gemma":[0.36691386,0.00037896945,0.6312082,0.00007322072,0.000101710815,0.00024128883,0.00024004027,0.000054450655,0.00078832946],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99491936,0.0016645411,0.0005077435,0.0005827376,0.0021880772,0.00013748607],"domain_scores_gemma":[0.99720275,0.0012778777,0.00038918472,0.00041346066,0.000603608,0.00011302264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041209436,0.00046262477,0.00092563883,0.005284942,0.0007410365,0.0023813534,0.0009886322,0.0007912277,0.00092616293],"category_scores_gemma":[0.010207176,0.0002389487,0.0014699824,0.004543911,0.0010925141,0.0049548903,0.0022846696,0.0009474827,0.00021663264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025938972,0.000184018,0.003544631,0.00042749985,0.00037504855,0.00042668404,0.0013192471,0.099146806,0.0272021,0.39661083,0.002122261,0.46838155],"study_design_scores_gemma":[0.000024062503,0.00012886272,0.0015766314,0.000060039194,0.0000925494,0.00025783328,0.00028571454,0.70781,0.00978859,0.27318865,0.006712894,0.00007422942],"about_ca_topic_score_codex":0.0014877475,"about_ca_topic_score_gemma":0.0011108383,"teacher_disagreement_score":0.005284942,"about_ca_system_score_codex":0.000921147,"about_ca_system_score_gemma":0.0007736937,"threshold_uncertainty_score":0.021793902},"labels":[],"label_agreement":null},{"id":"W1965901970","doi":"10.3141/1984-17","title":"Ontological Modeling of Infrastructure Products and Related Concepts","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Interoperability; Computer science; Consistency (knowledge bases); Process ontology; Upper ontology; Knowledge management; Ontology-based data integration; Data science; Software engineering; World Wide Web; Domain knowledge","score_opus":0.06487665249063557,"score_gpt":0.36109841806674176,"score_spread":0.2962217655761062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965901970","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02501124,0.00067207374,0.9110002,0.0015841953,0.00011011449,0.00030036966,0.0015586428,0.00049424305,0.059268937],"genre_scores_gemma":[0.33039668,0.0023776689,0.64453185,0.0003306222,0.00009187774,0.00068286335,0.0046192976,0.00020079908,0.01676838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813724,0.00050582184,0.00022550175,0.00021818289,0.0007535592,0.00015974847],"domain_scores_gemma":[0.99850285,0.00055820716,0.0001818281,0.00036540852,0.00030763054,0.00008414436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022846218,0.0005665268,0.00043698063,0.0044909124,0.0016248635,0.0049339803,0.0018244906,0.0012693845,0.002098861],"category_scores_gemma":[0.0036102918,0.0005165982,0.0017949295,0.0044222395,0.0021844015,0.007793195,0.0021075879,0.0015094897,0.0006373437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001426505,0.00004962987,0.00088367675,0.00010982468,0.00003060233,0.00043997122,0.0018160735,0.01613865,0.0011173703,0.95021796,0.0021232741,0.027058773],"study_design_scores_gemma":[0.0000250678,0.000037069753,0.0016870792,0.00033788208,0.00013343248,0.00071583723,0.0027628199,0.1580515,0.0023300094,0.60465777,0.2292082,0.000053412274],"about_ca_topic_score_codex":0.02011898,"about_ca_topic_score_gemma":0.018253393,"teacher_disagreement_score":0.02011898,"about_ca_system_score_codex":0.002374565,"about_ca_system_score_gemma":0.003015735,"threshold_uncertainty_score":0.040003777},"labels":[],"label_agreement":null},{"id":"W1967107571","doi":"10.1016/j.ijar.2008.03.004","title":"Ontological approach to development of computing with words based systems","year":2008,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ontology; Computer science; Personalization; Semantics (computer science); Semantic Web; World Wide Web; Artificial intelligence; Programming language","score_opus":0.03363973958946274,"score_gpt":0.264193166344021,"score_spread":0.23055342675455828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967107571","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071741105,0.0010858155,0.97304475,0.0017576589,0.000102924445,0.000091081805,0.00016585861,0.00022754636,0.016350256],"genre_scores_gemma":[0.172353,0.0016431087,0.8196058,0.00033166184,0.00010670829,0.00022372277,0.0004232802,0.000101344354,0.0052113757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99781287,0.00078761403,0.0002976445,0.00023892082,0.00072804466,0.00013489285],"domain_scores_gemma":[0.997888,0.0009682857,0.00010243392,0.0004501873,0.00048162314,0.000109448425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002073854,0.00042712057,0.00068527315,0.00280682,0.0014650159,0.0043750233,0.002177503,0.0011123784,0.0037049374],"category_scores_gemma":[0.006128445,0.00058557675,0.001754551,0.002792727,0.0046020653,0.0069105406,0.0028551002,0.0019871537,0.00072883273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074370932,0.000015007675,0.00020150392,0.00006581354,0.000016510523,0.00006671569,0.00031956876,0.0033196034,0.0003053167,0.98198545,0.00046325597,0.013233793],"study_design_scores_gemma":[0.0000065842273,0.000009993094,0.00014121104,0.000058124748,0.0000309312,0.00007664276,0.00018865262,0.024420502,0.0008277849,0.95479137,0.019435897,0.0000124217895],"about_ca_topic_score_codex":0.0074099125,"about_ca_topic_score_gemma":0.006917888,"teacher_disagreement_score":0.0074099125,"about_ca_system_score_codex":0.0021631245,"about_ca_system_score_gemma":0.0025476932,"threshold_uncertainty_score":0.015694678},"labels":[],"label_agreement":null},{"id":"W1967642445","doi":"10.7152/acro.v24i1.14674","title":"Advances in Classification Research Online 2013 Classification, Ontology, and the Semantic Web","year":2014,"lang":"en","type":"article","venue":"Advances in Classification Research Online","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Semantic Web; Social Semantic Web; Semantic Web Stack; Semantic analytics; Predicate (mathematical logic); Information retrieval; RDF; Data Web; Ontology; Semantic Web Rule Language; OWL-S; World Wide Web; Semantic search; Semantic grid; Web Ontology Language; Web service; Programming language","score_opus":0.13959749174831906,"score_gpt":0.45244642800282664,"score_spread":0.3128489362545076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967642445","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009696121,0.31086272,0.2756507,0.1512708,0.009472572,0.00021516702,0.001398407,0.0014503975,0.2399831],"genre_scores_gemma":[0.16347389,0.3688982,0.33522063,0.012813069,0.022362651,0.0003267362,0.0045832223,0.0007929259,0.091528766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933322,0.0023449983,0.00046698432,0.00077153044,0.002764513,0.00031977566],"domain_scores_gemma":[0.9846458,0.008062349,0.0006871525,0.0025373234,0.0033500658,0.0007173454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009557147,0.00079358544,0.00135815,0.009363127,0.0017892434,0.012073204,0.00237933,0.0029018412,0.016854992],"category_scores_gemma":[0.0144249685,0.0005365254,0.0011476169,0.014875243,0.005202308,0.024136346,0.0034520058,0.0036288418,0.007994458],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028327318,0.00008430594,0.0015730347,0.00048966013,0.00003982832,0.00005609702,0.0003327048,0.00074664614,0.00025911088,0.35358265,0.0694777,0.57333],"study_design_scores_gemma":[0.000011082263,0.000024531144,0.0015303736,0.0007752935,0.000028934373,0.00023834658,0.00071122474,0.006841419,0.00039364462,0.36480403,0.62460303,0.00003812561],"about_ca_topic_score_codex":0.0062860106,"about_ca_topic_score_gemma":0.0052505936,"teacher_disagreement_score":0.016854992,"about_ca_system_score_codex":0.0066009345,"about_ca_system_score_gemma":0.005124538,"threshold_uncertainty_score":0.056385577},"labels":[],"label_agreement":null},{"id":"W1968074681","doi":"10.1007/s10516-011-9170-z","title":"Exemplification, Then and Now","year":2011,"lang":"en","type":"article","venue":"Axiomathes","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Exemplification; Ontology; Empiricism; Epistemology; Philosophy; Sociology; Computer science","score_opus":0.051138820346651986,"score_gpt":0.22108108003991966,"score_spread":0.16994225969326768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968074681","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023719834,0.006001888,0.36938655,0.03555579,0.0036580581,0.00009667678,0.0013668925,0.0009624006,0.5592519],"genre_scores_gemma":[0.5775541,0.004593802,0.24032071,0.008933354,0.0013755073,0.00036458613,0.0036036128,0.00047167297,0.16278279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985097,0.00045670147,0.000099848374,0.0004514703,0.00033011378,0.00015217555],"domain_scores_gemma":[0.99863404,0.00030220475,0.000056409255,0.00053511595,0.00039232336,0.00007978418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001367981,0.0006632898,0.00072482956,0.0013309789,0.0036559869,0.004351072,0.0014989696,0.0019645474,0.02707177],"category_scores_gemma":[0.0047715795,0.00038157063,0.0011222761,0.0010806955,0.006299169,0.010383771,0.0032041948,0.0053070425,0.0051811794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012586937,0.000012486579,0.0001212294,0.000028616836,0.00001099104,0.00008060085,0.00023794264,0.00009012571,0.00020585308,0.985452,0.0060800514,0.0076675005],"study_design_scores_gemma":[0.000008633868,0.0000075393527,0.00021854127,0.000029977165,0.000011751604,0.00035157008,0.00036507667,0.00051043695,0.000384194,0.89460146,0.103497304,0.000013542134],"about_ca_topic_score_codex":0.0034414236,"about_ca_topic_score_gemma":0.0041242917,"teacher_disagreement_score":0.02707177,"about_ca_system_score_codex":0.001458234,"about_ca_system_score_gemma":0.0007543219,"threshold_uncertainty_score":0.09056413},"labels":[],"label_agreement":null},{"id":"W1968935703","doi":"10.1111/j.1467-8640.2007.00310.x","title":"Using Patterns to Explain Inferences in","year":2007,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Soundness; Completeness (order theory); Computer science; Mathematical proof; Contradiction; Construct (python library); Resolution (logic); Focus (optics); Theoretical computer science; Process (computing); Artificial intelligence; Algorithm; Mathematics; Programming language; Epistemology","score_opus":0.12993887897278775,"score_gpt":0.3816141243576403,"score_spread":0.25167524538485253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968935703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024537507,0.0003216018,0.96557325,0.0020002055,0.00012735698,0.00024462232,0.00045957015,0.002174999,0.0045607965],"genre_scores_gemma":[0.18200514,0.00044207857,0.8126079,0.00045624675,0.000061384264,0.0002274993,0.0011386866,0.00024428676,0.002816722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958046,0.0015401648,0.0004715289,0.0008807463,0.0010384256,0.00026455772],"domain_scores_gemma":[0.98945427,0.0065170303,0.0007824819,0.0020190014,0.0010912083,0.00013602697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004876584,0.001158803,0.0005637788,0.0031840282,0.0011821948,0.0033963944,0.0021616009,0.0018945517,0.0057474445],"category_scores_gemma":[0.024980852,0.00073421665,0.0019824791,0.0017364557,0.0018855005,0.0055208993,0.0040381295,0.0017592225,0.0009030587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026135292,0.00020040285,0.011233995,0.0007556276,0.00035215297,0.002561884,0.0038687522,0.049317617,0.007628854,0.556958,0.009624325,0.35723695],"study_design_scores_gemma":[0.000081368824,0.00006525286,0.001357705,0.000277177,0.00025722204,0.00078542356,0.0010393509,0.21655732,0.015149556,0.72331196,0.04106041,0.00005721278],"about_ca_topic_score_codex":0.002764794,"about_ca_topic_score_gemma":0.004899411,"teacher_disagreement_score":0.0057474445,"about_ca_system_score_codex":0.0011042672,"about_ca_system_score_gemma":0.0022430196,"threshold_uncertainty_score":0.025790155},"labels":[],"label_agreement":null},{"id":"W1969401242","doi":"10.1002/cjas.24","title":"Knowledge engineering for modelling reasoning in a diagnosis task: application to search and rescue","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Task (project management); Domain (mathematical analysis); Computer science; Domain knowledge; Process (computing); Model-based reasoning; Knowledge engineering; Search and rescue; Artificial intelligence; Software engineering; Knowledge representation and reasoning; Engineering; Systems engineering; Programming language","score_opus":0.10441380686842891,"score_gpt":0.34013459709943317,"score_spread":0.23572079023100426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969401242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032959282,0.0002547041,0.9565425,0.0016310532,0.00004604731,0.0003830061,0.00028866378,0.00075108977,0.007143663],"genre_scores_gemma":[0.31838053,0.00035210635,0.6783538,0.00017724246,0.00002223291,0.00030386745,0.0004455777,0.00009098435,0.0018736572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958735,0.0022533399,0.00047455393,0.00044688035,0.0007849932,0.00016676786],"domain_scores_gemma":[0.9795846,0.016063122,0.00083699526,0.0015896243,0.0016170752,0.00030844857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006010155,0.0008610791,0.0006305835,0.0027441515,0.0019576112,0.0052739414,0.002135657,0.0024494927,0.0031254755],"category_scores_gemma":[0.018094111,0.0007338148,0.0015724375,0.0018953343,0.0035282637,0.0046924003,0.0025644482,0.0024318243,0.00060022133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037914197,0.00062898523,0.0058495007,0.0011287532,0.00021602798,0.0018343283,0.0144537045,0.3847955,0.008707803,0.37789342,0.0035932094,0.2005197],"study_design_scores_gemma":[0.00013289659,0.00008343848,0.0011235073,0.0003835318,0.00016782986,0.00044533782,0.0021073155,0.82641345,0.0068783066,0.12687579,0.035292245,0.0000963118],"about_ca_topic_score_codex":0.050058357,"about_ca_topic_score_gemma":0.040363386,"teacher_disagreement_score":0.050058357,"about_ca_system_score_codex":0.0038688066,"about_ca_system_score_gemma":0.0038093603,"threshold_uncertainty_score":0.099533975},"labels":[],"label_agreement":null},{"id":"W1969888569","doi":"10.3138/carto.42.3.209","title":"Extended Cartographic Interfaces for Open Distributed Processing","year":2007,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thematic map; Computer science; Rendering (computer graphics); Context (archaeology); Cartography; Data science; World Wide Web; Geography; Computer graphics (images)","score_opus":0.020958912862020073,"score_gpt":0.3300348515099302,"score_spread":0.30907593864791016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969888569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021687571,0.00045778867,0.96140295,0.00042540982,0.0002824362,0.00017898546,0.00031212432,0.013201916,0.02156963],"genre_scores_gemma":[0.088321075,0.0013021355,0.8714325,0.0007968017,0.0005034076,0.00095489895,0.0018427483,0.00556279,0.02928352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971046,0.0008514793,0.00034465367,0.00028264616,0.0012154345,0.00020114343],"domain_scores_gemma":[0.99427044,0.0024230662,0.00023676662,0.0017486888,0.0010991214,0.00022187656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003553132,0.0011099037,0.0008375005,0.0014011814,0.0010511345,0.0057050553,0.0019675677,0.0018787179,0.03599947],"category_scores_gemma":[0.010337929,0.000696029,0.000846304,0.0018416563,0.0015644804,0.0074160597,0.0048884708,0.0024552704,0.009743546],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055670115,0.0001634332,0.00068701734,0.00067657256,0.00006851607,0.00111357,0.0052810446,0.0076483404,0.0151288565,0.5849603,0.059965424,0.32375023],"study_design_scores_gemma":[0.00015259765,0.000055693134,0.00038966027,0.00025760755,0.000053591546,0.0006271342,0.00035962084,0.051880818,0.007939448,0.19351093,0.74467266,0.00010028188],"about_ca_topic_score_codex":0.0010213124,"about_ca_topic_score_gemma":0.000905042,"teacher_disagreement_score":0.03599947,"about_ca_system_score_codex":0.0006550442,"about_ca_system_score_gemma":0.0007720499,"threshold_uncertainty_score":0.12043023},"labels":[],"label_agreement":null},{"id":"W1969970577","doi":"10.1093/llc/fqr019","title":"The concept of evolution in the Origin of Species: a computer-assisted analysis","year":2011,"lang":"en","type":"article","venue":"Literary and Linguistic Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Art history; History; Library science; Humanities; Sociology; Art; Computer science","score_opus":0.03084912723791863,"score_gpt":0.2557520097370202,"score_spread":0.2249028824991016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969970577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.099080995,0.052127156,0.49051386,0.06000912,0.0013169041,0.0004363908,0.002256104,0.0008805287,0.29337895],"genre_scores_gemma":[0.7090356,0.015098998,0.25384957,0.0010426972,0.00042744857,0.00024456988,0.00078522036,0.000352839,0.019163055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988104,0.00066821097,0.000056629826,0.00015613005,0.0002681794,0.00004039062],"domain_scores_gemma":[0.9933281,0.005164232,0.00031434748,0.00037792668,0.000620943,0.00019439627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032676528,0.00048821373,0.0004743607,0.0067100576,0.0023166046,0.0080427155,0.001678773,0.0012704319,0.008545099],"category_scores_gemma":[0.010402236,0.0002616125,0.00071311684,0.0064457655,0.015114663,0.008352192,0.0022978976,0.001803701,0.00067404757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027798143,0.000010555967,0.0034754444,0.00036935677,0.00003893092,0.00027605068,0.014326498,0.003253947,0.00027267903,0.91970104,0.0094599305,0.048787747],"study_design_scores_gemma":[0.000014062253,0.000017331262,0.007474639,0.00061995926,0.00005205504,0.00071942527,0.009632301,0.021672204,0.00031341813,0.73548555,0.22394945,0.000049574628],"about_ca_topic_score_codex":0.02267851,"about_ca_topic_score_gemma":0.025718762,"teacher_disagreement_score":0.02267851,"about_ca_system_score_codex":0.0068237092,"about_ca_system_score_gemma":0.0033330258,"threshold_uncertainty_score":0.049509645},"labels":[],"label_agreement":null},{"id":"W1970170971","doi":"10.1061/(asce)0733-9364(2005)131:11(1196)","title":"E-Society Portal: Integrating Urban Highway Construction Projects into the Knowledge City","year":2005,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Sustainability; Knowledge management; Vocabulary; Ontology; Stakeholder; Set (abstract data type); Political science","score_opus":0.009160221507535087,"score_gpt":0.2182991698389088,"score_spread":0.2091389483313737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970170971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18402901,0.0003658959,0.5531056,0.0033038652,0.00026510807,0.0012059645,0.0041075256,0.038933065,0.21468396],"genre_scores_gemma":[0.47117302,0.00078016944,0.47389495,0.00034401604,0.000074838434,0.0006559052,0.0077977446,0.0012696794,0.04400962],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965155,0.00016042458,0.000028920009,0.000039998275,0.000084684994,0.000034369834],"domain_scores_gemma":[0.9991198,0.00033803988,0.000046532285,0.00019982191,0.0001191147,0.00017669794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000907778,0.00020177147,0.00023270326,0.0009340352,0.0007981217,0.0024183355,0.00058023934,0.00082104746,0.01342823],"category_scores_gemma":[0.0021283408,0.00020292407,0.00030362056,0.0023300548,0.00044038182,0.0044195764,0.0027586387,0.00060633227,0.0029872796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041767533,0.001422196,0.011919593,0.0006752635,0.000066062894,0.0017140324,0.0061995042,0.013895604,0.012342076,0.10054405,0.074987315,0.7758167],"study_design_scores_gemma":[0.00019528024,0.0003385126,0.009183763,0.00019124219,0.000075812764,0.00087958487,0.0049374136,0.095395714,0.010533174,0.049007297,0.82917297,0.00008916824],"about_ca_topic_score_codex":0.003510037,"about_ca_topic_score_gemma":0.004528148,"teacher_disagreement_score":0.01342823,"about_ca_system_score_codex":0.000492226,"about_ca_system_score_gemma":0.0012834882,"threshold_uncertainty_score":0.044921935},"labels":[],"label_agreement":null},{"id":"W1970555490","doi":"10.1145/2630729.2630744","title":"Challenges in Resolving Semantic Heterogeneity with the Global Legal Entity Identifier System","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Council","keywords":"Identifier; Transparency (behavior); Computer science; Unique identifier; Business; Accounting; Computer security","score_opus":0.03419957686197232,"score_gpt":0.2547392401634883,"score_spread":0.22053966330151598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970555490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06232802,0.008999007,0.69443613,0.19392166,0.001354784,0.00027834426,0.0005848691,0.0018998608,0.036197316],"genre_scores_gemma":[0.53241396,0.008446704,0.43683934,0.01260301,0.0019105087,0.00037130163,0.0013379765,0.0008120242,0.0052652326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9533239,0.025119228,0.0036250958,0.0032531456,0.012879245,0.0017993681],"domain_scores_gemma":[0.87970966,0.07657079,0.0056623137,0.022986235,0.012581959,0.002489011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07297548,0.0006851217,0.0023851104,0.003683668,0.005980605,0.015570551,0.0059422827,0.0061925966,0.0029412238],"category_scores_gemma":[0.10049862,0.001383516,0.0013105796,0.0064674625,0.010594729,0.05782059,0.015100962,0.010400552,0.0015492721],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015574427,0.0001544857,0.004115419,0.0004367244,0.0001258773,0.0009875196,0.0023576224,0.01595337,0.0016492467,0.81751513,0.019785095,0.13676374],"study_design_scores_gemma":[0.000038533337,0.00003914813,0.0007501776,0.0003089838,0.00007566206,0.00093748054,0.0036466455,0.059900347,0.0023294943,0.8533356,0.07853407,0.00010384631],"about_ca_topic_score_codex":0.00686421,"about_ca_topic_score_gemma":0.0047176927,"teacher_disagreement_score":0.07297548,"about_ca_system_score_codex":0.0045125294,"about_ca_system_score_gemma":0.0067413775,"threshold_uncertainty_score":0.38593584},"labels":[],"label_agreement":null},{"id":"W1970890548","doi":"10.1109/ictai.2010.97","title":"Refactoring of Ontologies: Improving the Design of Ontological Models with Concept Analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Code refactoring; Computer science; Ontology; Merge (version control); Abstraction; Software engineering; Scope (computer science); Programming language; Information retrieval; Software","score_opus":0.043949326931004916,"score_gpt":0.24760432587552925,"score_spread":0.20365499894452432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970890548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005382813,0.00009857077,0.9932949,0.00013789939,0.00001114535,0.00008537946,0.000044127697,0.00036136238,0.0005836954],"genre_scores_gemma":[0.04728222,0.00015710275,0.9516488,0.00005224166,0.000007772802,0.00012406548,0.00020473498,0.00013717258,0.00038586804],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99550796,0.0019341176,0.0003897749,0.0005758868,0.0014057853,0.00018648921],"domain_scores_gemma":[0.9937319,0.0027349263,0.00058990385,0.0018768911,0.0009097102,0.00015661289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007152186,0.0010475668,0.0010477927,0.002830572,0.0011203836,0.003350661,0.0033563934,0.0011274226,0.0014021979],"category_scores_gemma":[0.016169976,0.0009976488,0.0031679433,0.0017102755,0.0021447744,0.0063220225,0.0036457393,0.0024827467,0.00052340585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015275532,0.0002387756,0.004071349,0.0010260091,0.0002764177,0.0006648646,0.0063350326,0.14574745,0.03046701,0.36118108,0.003369481,0.44646978],"study_design_scores_gemma":[0.000047392932,0.00014882337,0.00076273683,0.00034740416,0.00025547034,0.00043944118,0.0010853037,0.70185584,0.02502274,0.22481583,0.045132186,0.00008674361],"about_ca_topic_score_codex":0.004198789,"about_ca_topic_score_gemma":0.0056165652,"teacher_disagreement_score":0.007152186,"about_ca_system_score_codex":0.00206683,"about_ca_system_score_gemma":0.003382936,"threshold_uncertainty_score":0.03782481},"labels":[],"label_agreement":null},{"id":"W197109976","doi":"10.1007/978-3-642-24574-9_28","title":"Unintended Consequences of Class-Based Ontological Commitment","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ontology; Computer science; Domain (mathematical analysis); Class (philosophy); Semantics (computer science); Quality (philosophy); Property (philosophy); Knowledge management; Data science; Information retrieval; Artificial intelligence; Epistemology; Programming language; Mathematics","score_opus":0.05036609004990111,"score_gpt":0.26961363013848455,"score_spread":0.21924754008858344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W197109976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23958598,0.0006533123,0.45339936,0.019689195,0.0010645428,0.00016578172,0.0008602119,0.0010654477,0.2835162],"genre_scores_gemma":[0.9608982,0.00030672207,0.02221059,0.0013583018,0.00020976317,0.0001533048,0.00032234986,0.00030498742,0.014235778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9916367,0.0028762543,0.0005737573,0.001203076,0.0026280638,0.0010820624],"domain_scores_gemma":[0.9713306,0.015777206,0.0012434404,0.008581387,0.002410923,0.0006564539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070528076,0.00045920632,0.0007867515,0.00096101046,0.002911925,0.004852142,0.0023826985,0.003655023,0.008715664],"category_scores_gemma":[0.038007867,0.000997189,0.0010202203,0.0012935972,0.00782799,0.011678493,0.007206065,0.008431228,0.0011458592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050272924,0.000029760764,0.00045763064,0.000025856081,0.000020336325,0.00025643923,0.0006072339,0.0019048988,0.00056984404,0.9887332,0.0018256968,0.005518853],"study_design_scores_gemma":[0.000010310219,0.0000035491644,0.00015965346,0.000011112086,0.000012279554,0.00006337859,0.0001512457,0.0042688665,0.0005305678,0.99310523,0.0016734661,0.0000103692155],"about_ca_topic_score_codex":0.0031937351,"about_ca_topic_score_gemma":0.0029642633,"teacher_disagreement_score":0.008715664,"about_ca_system_score_codex":0.0021008784,"about_ca_system_score_gemma":0.0018696444,"threshold_uncertainty_score":0.037299275},"labels":[],"label_agreement":null},{"id":"W1971937407","doi":"10.1016/j.ijar.2009.04.009","title":"A formal framework for description logics with uncertainty","year":2009,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Soundness; Completeness (order theory); Computer science; Negation; Description logic; ENCODE; Feature (linguistics); Set (abstract data type); Theoretical computer science; Knowledge representation and reasoning; Ontology; Semantics (computer science); Knowledge base; Artificial intelligence; Programming language; Mathematics; Epistemology","score_opus":0.024378917691395042,"score_gpt":0.28850826670016544,"score_spread":0.2641293490087704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971937407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00077330356,0.000500836,0.9946661,0.0009481994,0.00009811146,0.000072161354,0.00017997526,0.0002413163,0.002520016],"genre_scores_gemma":[0.074104324,0.0012516874,0.91933095,0.0007192876,0.0004889819,0.000491816,0.0006819209,0.00017331427,0.002757719],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9922896,0.0029055057,0.0011767449,0.0009967661,0.0021124058,0.0005189184],"domain_scores_gemma":[0.9876714,0.007741718,0.00078581634,0.0018336568,0.0013496948,0.0006177821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011266664,0.00168594,0.0019812277,0.0046277144,0.003128014,0.009456765,0.0055915103,0.0030746083,0.0058772117],"category_scores_gemma":[0.01640014,0.0019427432,0.00557021,0.005268656,0.006780032,0.016439246,0.0077478522,0.0072129318,0.0014024783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011983161,0.000016822427,0.000046220553,0.00007312607,0.000020411648,0.000081427934,0.00014891832,0.0043183817,0.00018335093,0.98649675,0.0008289965,0.0077736764],"study_design_scores_gemma":[0.000022785374,0.000012047434,0.000020669417,0.000060388855,0.000032055246,0.00007783696,0.000060391387,0.02669263,0.00030676532,0.9609576,0.011734298,0.00002257548],"about_ca_topic_score_codex":0.0058457856,"about_ca_topic_score_gemma":0.0052464264,"teacher_disagreement_score":0.011266664,"about_ca_system_score_codex":0.004064488,"about_ca_system_score_gemma":0.0033988908,"threshold_uncertainty_score":0.0595845},"labels":[],"label_agreement":null},{"id":"W1974152899","doi":"10.1177/146045820100700309","title":"The role of information technology in the explication and crystallization of tacit healthcare knowledge","year":2001,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Health care; Tacit knowledge; Knowledge management; Computer science; Exploit; Ontology; Process (computing); Data science","score_opus":0.017635415232406602,"score_gpt":0.29100451477061184,"score_spread":0.27336909953820526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974152899","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025841776,0.005833602,0.8983657,0.015019925,0.00016065118,0.00012657307,0.00007972751,0.00025285623,0.05431929],"genre_scores_gemma":[0.50826454,0.0064468044,0.47676015,0.0010433192,0.0002596259,0.0002965397,0.00019194344,0.00015650914,0.006580634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933831,0.0041091787,0.00045264183,0.00054586586,0.001232669,0.0002766237],"domain_scores_gemma":[0.97932786,0.016568914,0.00067585945,0.002477797,0.00066951005,0.00028001337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013301058,0.0005324995,0.0007628088,0.004090849,0.0019219733,0.012262643,0.0026835727,0.0030897374,0.0026863767],"category_scores_gemma":[0.019934764,0.00082159217,0.0013618247,0.004337686,0.020845192,0.025572093,0.004981551,0.0030703505,0.00068854407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015175551,0.000016786851,0.00038760537,0.00019284389,0.000022807983,0.00020408156,0.004456446,0.004948021,0.0007069904,0.96163595,0.00063972274,0.026773654],"study_design_scores_gemma":[0.000013377729,0.000018088023,0.0002574147,0.00023027723,0.00002060894,0.00023424266,0.0016565105,0.019739974,0.0014305031,0.9502989,0.026072787,0.000027217377],"about_ca_topic_score_codex":0.003032351,"about_ca_topic_score_gemma":0.002552501,"teacher_disagreement_score":0.013301058,"about_ca_system_score_codex":0.0029631867,"about_ca_system_score_gemma":0.003434247,"threshold_uncertainty_score":0.070343554},"labels":[],"label_agreement":null},{"id":"W1974431732","doi":"10.1016/j.tcs.2006.12.025","title":"A fibrational framework for possible-world semantics of Algol-like languages","year":2006,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Programming language; Semantics (computer science); Computer science","score_opus":0.010800591204830524,"score_gpt":0.27910980784303674,"score_spread":0.2683092166382062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974431732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014455402,0.0009441346,0.93959916,0.002921978,0.000390083,0.00011116622,0.00038415528,0.0009930562,0.040200908],"genre_scores_gemma":[0.4899127,0.001380959,0.49173215,0.001215976,0.0007602521,0.000576037,0.0008111262,0.00063017436,0.012980651],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99729913,0.0010363115,0.0003813748,0.00045893033,0.00048037223,0.00034388262],"domain_scores_gemma":[0.9967602,0.0013438639,0.00022801684,0.0005959494,0.00068824267,0.00038373936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005140262,0.0012418086,0.0010904262,0.0036348917,0.004723715,0.008077274,0.0025862593,0.0025529114,0.007983047],"category_scores_gemma":[0.0053853337,0.0010470588,0.0029408406,0.0029157293,0.009101682,0.018724592,0.0060841767,0.0050888313,0.0018121102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046243754,0.000006096357,0.000033898683,0.000014152896,0.000003401765,0.00003810754,0.00022715535,0.00018689566,0.000106206164,0.9978461,0.00029027715,0.0012431678],"study_design_scores_gemma":[0.00000549132,0.000006389585,0.000029226145,0.000012045177,0.00000777025,0.00005089533,0.00008589116,0.0015358444,0.00015572559,0.9922965,0.005804453,0.000009709932],"about_ca_topic_score_codex":0.0021046505,"about_ca_topic_score_gemma":0.0018088408,"teacher_disagreement_score":0.008077274,"about_ca_system_score_codex":0.0024015664,"about_ca_system_score_gemma":0.0014258369,"threshold_uncertainty_score":0.027184606},"labels":[],"label_agreement":null},{"id":"W1974932089","doi":"10.1109/etfa.2012.6489625","title":"Ontology for industrial petrochemical processes: Case study of a DEA process","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidade Federal do Rio Grande do Norte; University of Victoria","keywords":"Ontology; Documentation; Computer science; Petrochemical; Process (computing); Refinery; Semantic Web; Representation (politics); Knowledge representation and reasoning; Software engineering; Data science; Information retrieval; Artificial intelligence; Engineering","score_opus":0.10226738506731742,"score_gpt":0.34514813869911987,"score_spread":0.24288075363180245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974932089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8386509,0.0011711206,0.10653911,0.0010608725,0.000064955944,0.0005718046,0.000721685,0.00040834778,0.050811265],"genre_scores_gemma":[0.9386647,0.0010134937,0.051466912,0.000059558664,0.000012698597,0.00013138613,0.0005056093,0.000057580037,0.008088149],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919957,0.0002467751,0.00005931261,0.00010777268,0.00029771272,0.00008886232],"domain_scores_gemma":[0.99893206,0.0006544377,0.00006450314,0.00012730363,0.00014926345,0.00007240591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094021886,0.00038274264,0.0003745481,0.0011352105,0.0016004407,0.001665418,0.000801718,0.0019641258,0.0022591592],"category_scores_gemma":[0.0020023677,0.00017297435,0.00073305017,0.0019446561,0.00092837244,0.0015950911,0.0011164384,0.000738374,0.00029823044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011032611,0.0050737453,0.042412624,0.0026130932,0.00019057535,0.03825758,0.020325784,0.23494917,0.062371366,0.20624723,0.0083182445,0.37813738],"study_design_scores_gemma":[0.00026076747,0.0005930104,0.033194967,0.00040320604,0.0003167168,0.009679304,0.023760885,0.53641695,0.04653489,0.03958591,0.3090728,0.0001807014],"about_ca_topic_score_codex":0.020798808,"about_ca_topic_score_gemma":0.017963534,"teacher_disagreement_score":0.020798808,"about_ca_system_score_codex":0.0016894926,"about_ca_system_score_gemma":0.0017337581,"threshold_uncertainty_score":0.04135549},"labels":[],"label_agreement":null},{"id":"W1974941207","doi":"10.1016/j.is.2010.08.005","title":"Improving the usability of standard schemas","year":2010,"lang":"en","type":"article","venue":"Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Usability; Variety (cybernetics); XML; RDF; Data science; Semantic data model; Software engineering; Semantic Web; Information retrieval; World Wide Web; Human–computer interaction; Artificial intelligence","score_opus":0.01202619647189775,"score_gpt":0.23370759808794234,"score_spread":0.22168140161604458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974941207","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31998745,0.0056618564,0.63572735,0.0041590505,0.00052685424,0.0012178347,0.0010704872,0.011549878,0.020099282],"genre_scores_gemma":[0.52379507,0.0031778119,0.46077716,0.0009745029,0.00011870505,0.00031605453,0.002743669,0.0042141243,0.003882959],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.90974927,0.047851797,0.00911972,0.003909966,0.027569994,0.0017992181],"domain_scores_gemma":[0.72105867,0.14052145,0.00613231,0.07479333,0.05620408,0.001290095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05238365,0.0017122648,0.0015801025,0.006165949,0.0016295415,0.012108397,0.004002614,0.0028855447,0.0037874414],"category_scores_gemma":[0.23803125,0.0016618819,0.0020400535,0.005922807,0.002136943,0.019895,0.0065458445,0.0029984487,0.0012821058],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021088778,0.0014623234,0.028478298,0.0042634476,0.0012847104,0.0009938839,0.014457335,0.018615901,0.030992184,0.13224618,0.021401413,0.7436955],"study_design_scores_gemma":[0.00077030354,0.0017579272,0.012823671,0.0039159926,0.003939924,0.0024554664,0.01637292,0.30955553,0.18319662,0.25882176,0.20573375,0.0006562054],"about_ca_topic_score_codex":0.007112257,"about_ca_topic_score_gemma":0.0059555504,"teacher_disagreement_score":0.05238365,"about_ca_system_score_codex":0.0029282838,"about_ca_system_score_gemma":0.0049508885,"threshold_uncertainty_score":0.27703452},"labels":[],"label_agreement":null},{"id":"W1977245878","doi":"10.1145/1366313.1353570","title":"Some observations on mind map and ontology building tools for knowledge management","year":2008,"lang":"en","type":"article","venue":"Ubiquity","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovatia (Canada)","funders":"","keywords":"Ontology; Computer science; Knowledge management; Ontology-based data integration; Process ontology; Suggested Upper Merged Ontology; Upper ontology; Dissemination; Knowledge integration; Knowledge-based systems; Knowledge engineering; Data science; Domain knowledge; World Wide Web","score_opus":0.1331144665350452,"score_gpt":0.31475600497933465,"score_spread":0.18164153844428946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977245878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018865762,0.037448805,0.47081274,0.04289839,0.0016522902,0.0002739706,0.00061552855,0.00095125043,0.4264813],"genre_scores_gemma":[0.4377767,0.06301058,0.39432877,0.011815485,0.0026911632,0.0012255487,0.0006211723,0.0008836502,0.08764684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99811125,0.0007674746,0.00019307193,0.000344492,0.0004221996,0.00016151437],"domain_scores_gemma":[0.99576676,0.003054245,0.0002259193,0.00035771186,0.00049025123,0.00010519778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003398836,0.00083522114,0.00034925094,0.005123143,0.003260611,0.005257163,0.0015005548,0.0035510561,0.0067923474],"category_scores_gemma":[0.0077294167,0.0008055811,0.00092867593,0.0036734426,0.014697762,0.016225941,0.0028744258,0.0055137747,0.0016987039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021384858,0.000020735417,0.00039638582,0.00021528352,0.000013892122,0.00026237595,0.007615479,0.0007195251,0.00036150918,0.955603,0.007989704,0.026780775],"study_design_scores_gemma":[0.000012042678,0.000031504773,0.0013849944,0.0003429797,0.000017732662,0.0005408757,0.0013904768,0.0023209448,0.0014367554,0.7114793,0.28097463,0.000067771565],"about_ca_topic_score_codex":0.007967138,"about_ca_topic_score_gemma":0.0049987733,"teacher_disagreement_score":0.007967138,"about_ca_system_score_codex":0.0029349185,"about_ca_system_score_gemma":0.0009697284,"threshold_uncertainty_score":0.022722602},"labels":[],"label_agreement":null},{"id":"W1977320861","doi":"10.1007/s00778-004-0136-2","title":"Preserving mapping consistency under schema changes","year":2004,"lang":"en","type":"article","venue":"The VLDB Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Schema (genetic algorithms); Rewriting; Conceptual schema; Theoretical computer science; Semantics (computer science); Information retrieval; Programming language","score_opus":0.05595234486683632,"score_gpt":0.2594263878383082,"score_spread":0.20347404297147187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977320861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13308804,0.0006537027,0.84907544,0.002090947,0.0004448183,0.00023239636,0.0010409673,0.0052226717,0.008151084],"genre_scores_gemma":[0.74641997,0.0007839896,0.23969409,0.0011605365,0.00045633063,0.00021618238,0.0025876383,0.0022303306,0.0064510256],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97954583,0.0072160144,0.002198812,0.0039053292,0.005715683,0.0014183336],"domain_scores_gemma":[0.89628303,0.031249942,0.004375931,0.059263263,0.0078027067,0.0010250647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013001611,0.0011294866,0.0025903918,0.002770867,0.0022696801,0.008142119,0.004986068,0.003247301,0.0033163733],"category_scores_gemma":[0.06665141,0.0024098516,0.0022749354,0.0065543465,0.0040118303,0.021302035,0.008825484,0.006619938,0.0013159912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024640765,0.0006779814,0.014082756,0.0009997725,0.001072475,0.0025622037,0.0039679985,0.085083514,0.037762903,0.41063958,0.013976589,0.42671016],"study_design_scores_gemma":[0.00027160725,0.00021078889,0.00206447,0.00013748195,0.0009361424,0.0014253742,0.0012369897,0.16419643,0.065189905,0.74642664,0.017769031,0.00013520085],"about_ca_topic_score_codex":0.0025749956,"about_ca_topic_score_gemma":0.0019844472,"teacher_disagreement_score":0.013001611,"about_ca_system_score_codex":0.0011956526,"about_ca_system_score_gemma":0.003784974,"threshold_uncertainty_score":0.06875986},"labels":[],"label_agreement":null},{"id":"W1978186167","doi":"10.7152/acro.v24i1.14672","title":"Linked Data Meets Big Data: A Knowledge Organization Systems Perspective","year":2014,"lang":"en","type":"article","venue":"Advances in Classification Research Online","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Big data; Simple Knowledge Organization System; Perspective (graphical); Data science; Knowledge organization; Visualization; Linked data; Representation (politics); External Data Representation; Term (time); Information retrieval; World Wide Web; RDF; Data mining; Artificial intelligence; Semantic Web","score_opus":0.37507457473115674,"score_gpt":0.4830552954779138,"score_spread":0.10798072074675708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978186167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01263829,0.013208548,0.7780788,0.097579315,0.0008767061,0.0002097465,0.00058157026,0.0005472804,0.096279785],"genre_scores_gemma":[0.53237367,0.019681755,0.42616695,0.007958011,0.00426076,0.00048742423,0.0009074182,0.00019910818,0.007964935],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99173534,0.0040961313,0.00052085635,0.0008336411,0.0023658436,0.0004481463],"domain_scores_gemma":[0.9828918,0.0107449535,0.0013757816,0.0022188653,0.0015238887,0.0012446077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010868575,0.0008229469,0.001079594,0.006095216,0.0028563046,0.020629937,0.0027903854,0.004849506,0.0035950355],"category_scores_gemma":[0.013188962,0.00079748954,0.0010775853,0.009690032,0.011781889,0.03287273,0.008364005,0.004883366,0.000854537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008741097,0.000024710938,0.00036881535,0.00015672643,0.00002679343,0.00012774473,0.00043933387,0.0013917579,0.00012136338,0.98270434,0.0022077963,0.012421906],"study_design_scores_gemma":[0.0000070714154,0.000013088947,0.00017000426,0.00013389601,0.00001516223,0.00010343811,0.0008657113,0.0072771106,0.00026116025,0.95887506,0.032264333,0.000013910036],"about_ca_topic_score_codex":0.0037401274,"about_ca_topic_score_gemma":0.002871717,"teacher_disagreement_score":0.020629937,"about_ca_system_score_codex":0.004529582,"about_ca_system_score_gemma":0.0052974606,"threshold_uncertainty_score":0.057479203},"labels":[],"label_agreement":null},{"id":"W1979183039","doi":"10.1002/meet.14504301178","title":"Patterns and Inconsistencies in Collaborative Tagging Systems: An Examination of Tagging Practices","year":2006,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Search engine indexing; Computer science; Dimension (graph theory); Word (group theory); Task (project management); Information retrieval; Scaling; Multidimensional scaling; Machine learning; Mathematics; Engineering","score_opus":0.012552508821043234,"score_gpt":0.2632991421903165,"score_spread":0.2507466333692733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979183039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9336045,0.0007815654,0.05840171,0.0009914939,0.00004794595,0.00016158566,0.00016049723,0.00030583778,0.0055449014],"genre_scores_gemma":[0.97854507,0.00019886291,0.020234486,0.000069158385,0.00001321677,0.000077504636,0.00019607297,0.000101104764,0.00056452246],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.930487,0.03613997,0.00979175,0.0068691764,0.015236374,0.0014758667],"domain_scores_gemma":[0.63942397,0.25529805,0.04089992,0.032020412,0.030529248,0.0018285187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05503437,0.00041831314,0.0007704484,0.0118422285,0.0048543853,0.009480092,0.0022785368,0.0016970129,0.0007143734],"category_scores_gemma":[0.21118177,0.000997771,0.0005703214,0.011715525,0.0073308866,0.011891932,0.00629455,0.0015971405,0.00024820335],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029942405,0.000115334646,0.29215753,0.0007179896,0.00026442923,0.0010184438,0.5137173,0.0014458325,0.008634366,0.016537057,0.0011092705,0.16398306],"study_design_scores_gemma":[0.00008384509,0.0005555821,0.29220662,0.0015113858,0.00070490164,0.005267769,0.4998004,0.03516677,0.023109278,0.066204816,0.07476142,0.00062730326],"about_ca_topic_score_codex":0.00542114,"about_ca_topic_score_gemma":0.0058938675,"teacher_disagreement_score":0.05503437,"about_ca_system_score_codex":0.0031065915,"about_ca_system_score_gemma":0.003187317,"threshold_uncertainty_score":0.29105306},"labels":[],"label_agreement":null},{"id":"W1979755952","doi":"10.1007/s10796-010-9262-0","title":"Organizational schemata of e-portfolios for fostering higher-order thinking","year":2010,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Schema (genetic algorithms); Portfolio; Higher-order thinking; Computer science; Knowledge management; Order (exchange); Higher education; Mathematics education; Psychology; Teaching method; Cognitively Guided Instruction","score_opus":0.016492880446253286,"score_gpt":0.2324878191563004,"score_spread":0.2159949387100471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979755952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15798438,0.00039946852,0.70922995,0.005356004,0.00015602051,0.0006579035,0.0009404993,0.0009140455,0.12436177],"genre_scores_gemma":[0.6137193,0.00039166686,0.37458426,0.00024689722,0.000028264902,0.00050069264,0.001118387,0.000112470174,0.009298031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805224,0.0009307469,0.0002884714,0.00026000224,0.00032964893,0.00013883499],"domain_scores_gemma":[0.9960018,0.0012024188,0.00042669917,0.001268025,0.00076933485,0.0003315876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031933372,0.0002627053,0.0002423497,0.0013087577,0.0011692619,0.006250938,0.0009355614,0.00101717,0.0074771508],"category_scores_gemma":[0.00719808,0.00034013006,0.0006260122,0.0018118332,0.0019308168,0.006794303,0.0018108021,0.0012367442,0.0011537788],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030110168,0.000110831104,0.001985253,0.000059216945,0.000015072288,0.00006678545,0.002000604,0.0029107702,0.0011330049,0.96381783,0.0015387763,0.026331687],"study_design_scores_gemma":[0.000051523773,0.00006893973,0.0022438772,0.00019102081,0.00005795593,0.0002438512,0.005275491,0.036473762,0.0035442386,0.89712745,0.054690816,0.00003098503],"about_ca_topic_score_codex":0.0021299538,"about_ca_topic_score_gemma":0.0035057766,"teacher_disagreement_score":0.0074771508,"about_ca_system_score_codex":0.0013397103,"about_ca_system_score_gemma":0.002850693,"threshold_uncertainty_score":0.025013626},"labels":[],"label_agreement":null},{"id":"W1979917523","doi":"10.3166/ria.22.353-368","title":"DagMap : exploration interactive de relations d'héritage","year":2008,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Art","score_opus":0.12072410287059342,"score_gpt":0.30602126235136407,"score_spread":0.18529715948077063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979917523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03446543,0.0012342982,0.8141714,0.0011947568,0.00049074966,0.00029470754,0.020344768,0.100266434,0.027537562],"genre_scores_gemma":[0.23929055,0.0017425842,0.69471437,0.0005270023,0.00011795711,0.00045305185,0.028929263,0.010872171,0.023353016],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996642,0.00006961264,0.000011972258,0.000099859964,0.00011892686,0.00003554879],"domain_scores_gemma":[0.9995121,0.00027854228,0.000014809666,0.00007663275,0.00005946144,0.000058536447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006658032,0.0015001748,0.00094652636,0.002951448,0.0010650378,0.002673839,0.0012029656,0.0012112545,0.04114048],"category_scores_gemma":[0.002170494,0.00069777574,0.0017360144,0.002410615,0.00056666555,0.0026254884,0.00321668,0.0013235455,0.0066067744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014953277,0.00031140778,0.0049034064,0.002428344,0.0003947575,0.0012936342,0.002326371,0.049539838,0.0321766,0.051005956,0.24781616,0.6063082],"study_design_scores_gemma":[0.00042672388,0.00014447555,0.0051828935,0.00045748142,0.00024222783,0.00076504063,0.001474279,0.34362975,0.022572234,0.11406426,0.5109066,0.00013402464],"about_ca_topic_score_codex":0.009297069,"about_ca_topic_score_gemma":0.02003393,"teacher_disagreement_score":0.04114048,"about_ca_system_score_codex":0.00061128056,"about_ca_system_score_gemma":0.00095944694,"threshold_uncertainty_score":0.13762856},"labels":[],"label_agreement":null},{"id":"W1980701179","doi":"10.1109/dexa.2014.61","title":"M2RML: Multidimensional to RDF Mapping Language","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"RDF; Computer science; RDF query language; Online analytical processing; Data cube; Simple Knowledge Organization System; RDF Schema; Cwm; Linked data; Database; Information retrieval; SPARQL; Programming language; Semantic Web; Data warehouse; Web search query","score_opus":0.013931641009903328,"score_gpt":0.24423682539786723,"score_spread":0.2303051843879639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980701179","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012231701,0.00055577676,0.9177365,0.0018381448,0.00037389348,0.00066563004,0.0075958096,0.05497894,0.015032117],"genre_scores_gemma":[0.025275188,0.0013163884,0.9201006,0.0026218062,0.00025010397,0.0019646618,0.025309088,0.010657308,0.012504861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99436474,0.0019985759,0.0008734837,0.0008397216,0.0015869857,0.00033644965],"domain_scores_gemma":[0.99667585,0.0012184212,0.00030491062,0.0010303599,0.00057814596,0.00019231756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056896014,0.0015584194,0.001229064,0.0029189636,0.0015176213,0.0061586453,0.0043995758,0.0024689282,0.017866768],"category_scores_gemma":[0.009457525,0.001368089,0.0023159897,0.002815404,0.0018364473,0.011978495,0.005629998,0.004276239,0.01491525],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003049051,0.00020825851,0.0008509894,0.0017750288,0.00011520569,0.0011037902,0.0014151451,0.0072288443,0.008429155,0.5673477,0.24945626,0.16176476],"study_design_scores_gemma":[0.00008529283,0.000049530023,0.00033814105,0.00041299686,0.00003743228,0.0007238015,0.00030682352,0.039144747,0.011264793,0.1364212,0.8110853,0.00013003148],"about_ca_topic_score_codex":0.0046121194,"about_ca_topic_score_gemma":0.005304476,"teacher_disagreement_score":0.017866768,"about_ca_system_score_codex":0.0019736954,"about_ca_system_score_gemma":0.0030015036,"threshold_uncertainty_score":0.059770286},"labels":[],"label_agreement":null},{"id":"W1981186426","doi":"10.1142/s0218194008003660","title":"ENHANCING OWL ONTOLOGIES WITH RELATION SEMANTICS","year":2008,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Ontology; Web Ontology Language; Relation (database); Semantics (computer science); Semantic Web; Knowledge representation and reasoning; Semantic Web Rule Language; OWL-S; Domain (mathematical analysis); Programming language; Information retrieval; Social Semantic Web; Artificial intelligence; Semantic analytics; Database; Mathematics","score_opus":0.0102610601754219,"score_gpt":0.21475347956203597,"score_spread":0.20449241938661408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981186426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026771363,0.00015694898,0.9449773,0.00053347996,0.0000891194,0.0005574645,0.00037548447,0.009506274,0.017032621],"genre_scores_gemma":[0.10835556,0.00033384352,0.88290673,0.00035184028,0.000031003696,0.00029069543,0.0013073201,0.0009302417,0.0054927752],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99688005,0.0009549292,0.00028569164,0.00025857193,0.0014698848,0.00015090567],"domain_scores_gemma":[0.9943757,0.0026517576,0.00033840135,0.0015211666,0.00096542155,0.00014763625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049060946,0.00051366363,0.00042696585,0.0010607874,0.00072779204,0.0022624775,0.0016953214,0.00075737055,0.0029883971],"category_scores_gemma":[0.014007314,0.0006303498,0.0010958215,0.0009425576,0.0009627999,0.007974509,0.0037334189,0.001717845,0.0010118479],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000420847,0.0011224567,0.0049603437,0.0013683081,0.00021232349,0.0017846443,0.0056300494,0.021950196,0.048911694,0.35718963,0.020219978,0.5362296],"study_design_scores_gemma":[0.0002544499,0.00024581587,0.0021281464,0.0005240392,0.0002361933,0.0016489279,0.0016934079,0.21094145,0.06488418,0.19155283,0.525728,0.00016265482],"about_ca_topic_score_codex":0.00404137,"about_ca_topic_score_gemma":0.005647682,"teacher_disagreement_score":0.0049060946,"about_ca_system_score_codex":0.00064319593,"about_ca_system_score_gemma":0.0015494417,"threshold_uncertainty_score":0.0259462},"labels":[],"label_agreement":null},{"id":"W1981664281","doi":"10.1007/s10115-012-0593-7","title":"A multi-phase correlation search framework for mining non-taxonomic relations from unstructured text","year":2012,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canarie","keywords":"Computer science; Ontology; Taxonomy (biology); Taxonomic rank; Domain (mathematical analysis); Information retrieval; Sentence; Information extraction; Relationship extraction; Lift (data mining); Natural language processing; Artificial intelligence; Data science; Data mining; Mathematics; Ecology; Biology","score_opus":0.03944275429594141,"score_gpt":0.3070370740464318,"score_spread":0.2675943197504904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981664281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009819525,0.00072693324,0.9836135,0.00023366373,0.000041611962,0.00032124692,0.0012552807,0.0031636918,0.0008246634],"genre_scores_gemma":[0.06261061,0.0003266489,0.9312177,0.00019297021,0.00006404371,0.0003810389,0.0036597932,0.00019492528,0.0013523207],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971107,0.0006346594,0.00035501894,0.00056578417,0.001127974,0.00020572585],"domain_scores_gemma":[0.9951218,0.0027132486,0.0003934574,0.0005991612,0.0009991045,0.00017327031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003514435,0.0010085165,0.0020628122,0.00855108,0.0019128959,0.002805946,0.0024632835,0.0018050384,0.0030803548],"category_scores_gemma":[0.009757639,0.0007581919,0.0021808562,0.012005512,0.000897604,0.0035077077,0.0027048795,0.0014423309,0.0017563986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009322442,0.0011424982,0.009630884,0.0012781677,0.00067051494,0.0010352241,0.00088280835,0.041592672,0.028432235,0.06503427,0.028374746,0.8209938],"study_design_scores_gemma":[0.00016731487,0.00030458864,0.004201883,0.00013277818,0.00039283893,0.0010056695,0.00037020832,0.8956404,0.011939,0.06779982,0.017927958,0.0001175883],"about_ca_topic_score_codex":0.010149661,"about_ca_topic_score_gemma":0.02068359,"teacher_disagreement_score":0.010149661,"about_ca_system_score_codex":0.0009666276,"about_ca_system_score_gemma":0.0053622047,"threshold_uncertainty_score":0.020181179},"labels":[],"label_agreement":null},{"id":"W1981854576","doi":"10.1145/2390034.2390038","title":"Conceptual modeling principles for crowdsourcing","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Crowdsourcing; Ontology; Domain (mathematical analysis); Computer science; Conceptual model; Data science; Conceptual framework; Knowledge management; World Wide Web; Epistemology; Mathematics","score_opus":0.126404226528728,"score_gpt":0.2921412021197194,"score_spread":0.1657369755909914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981854576","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023126453,0.00133278,0.9532225,0.009144069,0.00023310793,0.00026416604,0.00019361168,0.00016514433,0.033131886],"genre_scores_gemma":[0.20112045,0.0025758536,0.7796121,0.0021855044,0.0006151778,0.0017594456,0.0005602633,0.00022288093,0.011348265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98579365,0.007548983,0.00094798,0.0018620347,0.0034036888,0.00044366866],"domain_scores_gemma":[0.985906,0.007951101,0.000933221,0.0026695547,0.0019449404,0.0005951781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020323014,0.0014976662,0.0014333698,0.0043416996,0.005074979,0.007660573,0.005117141,0.0047180243,0.0074798553],"category_scores_gemma":[0.021740701,0.0012444503,0.0030399617,0.003771787,0.014555038,0.014065981,0.0076558073,0.006648664,0.0020311184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023852606,0.000008531069,0.00005081667,0.00004231029,0.000009943734,0.000020099389,0.00031380102,0.002606695,0.00004365024,0.9928154,0.0009163464,0.0031700628],"study_design_scores_gemma":[0.000006305712,0.0000041869516,0.000029359948,0.000039715902,0.0000049175155,0.000023349556,0.00011846409,0.008847626,0.00005026477,0.9745978,0.016269192,0.000008779562],"about_ca_topic_score_codex":0.0078062653,"about_ca_topic_score_gemma":0.005169413,"teacher_disagreement_score":0.020323014,"about_ca_system_score_codex":0.0064422027,"about_ca_system_score_gemma":0.0048059127,"threshold_uncertainty_score":0.10747963},"labels":[],"label_agreement":null},{"id":"W1982177147","doi":"10.14778/2002974.2002976","title":"gStore","year":2011,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":263,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; RDF; Computer science; Information retrieval; Named graph; RDF Schema; Linked data; RDF query language; Scalability; RDF/XML; Pruning; Database; Semantic Web; Web search query; Web query classification; Search engine","score_opus":0.03354416418142819,"score_gpt":0.19815301334233806,"score_spread":0.16460884916090987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982177147","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008428562,0.0024663706,0.2025956,0.002551394,0.0020783355,0.00066714175,0.06884974,0.3455576,0.36680526],"genre_scores_gemma":[0.07981606,0.002431221,0.20349263,0.0037691076,0.0005277935,0.0009835127,0.30162504,0.050609123,0.35674548],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881554,0.00013577167,0.00009864494,0.00034318454,0.00043169546,0.00017518323],"domain_scores_gemma":[0.9989249,0.00014059167,0.000052552856,0.0005193547,0.00026204184,0.00010047681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076451927,0.0013257931,0.0012239767,0.0015654557,0.0011444603,0.0034436043,0.002953996,0.0015029187,0.23063797],"category_scores_gemma":[0.0025507302,0.000959144,0.001425723,0.002620814,0.0004822961,0.0045073316,0.0033973064,0.0019733084,0.18472062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044972013,0.000150872,0.001271919,0.0007304072,0.000118695876,0.00024782904,0.00016214646,0.002182583,0.0070225066,0.023492102,0.72792584,0.23624532],"study_design_scores_gemma":[0.00012163163,0.00006012377,0.0006603679,0.000060392947,0.000034674435,0.0003059394,0.000070359216,0.0115190325,0.0084865615,0.017971072,0.9606709,0.000038963175],"about_ca_topic_score_codex":0.0030693277,"about_ca_topic_score_gemma":0.004725919,"teacher_disagreement_score":0.23063797,"about_ca_system_score_codex":0.0009796979,"about_ca_system_score_gemma":0.0015264023,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W1983254329","doi":"10.1145/1146847.1146863","title":"Automated ontology evolution in a multi-agent system","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Conceptualization; Ontology; Computer science; Process ontology; Autonomous agent; Upper ontology; Multi-agent system; Knowledge management; Data science; Artificial intelligence; Human–computer interaction; Epistemology","score_opus":0.020899149759432245,"score_gpt":0.257118034272552,"score_spread":0.23621888451311973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983254329","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15056446,0.0002078457,0.84151006,0.000800641,0.000048569877,0.00017320659,0.000052496176,0.0016439025,0.0049988953],"genre_scores_gemma":[0.7442232,0.00009252294,0.25289434,0.00010364431,0.000017349994,0.00010582566,0.000119683806,0.000078630954,0.0023648483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987048,0.00054530223,0.00008701357,0.00024086793,0.0003253186,0.000096667696],"domain_scores_gemma":[0.9977209,0.001102797,0.00026544553,0.00039106177,0.0003510654,0.00016859265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021709949,0.0002761795,0.00047762776,0.00057794654,0.0011805553,0.0013636987,0.0012153641,0.0009913808,0.0012305967],"category_scores_gemma":[0.0052813212,0.00035730857,0.0004176503,0.00042007395,0.00086508825,0.0028199512,0.0018406257,0.00092439266,0.00030145067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031504082,0.0004641768,0.0084270155,0.00013500903,0.00015336317,0.00097361533,0.0013298844,0.68744254,0.019969175,0.065503806,0.0027514864,0.21253495],"study_design_scores_gemma":[0.000016090306,0.000021601878,0.00027434464,0.000005421146,0.000011294965,0.000043295837,0.00005637468,0.98314244,0.0019627472,0.012628504,0.0018307689,0.0000071592367],"about_ca_topic_score_codex":0.004516601,"about_ca_topic_score_gemma":0.0048624473,"teacher_disagreement_score":0.004516601,"about_ca_system_score_codex":0.0010187217,"about_ca_system_score_gemma":0.0013948844,"threshold_uncertainty_score":0.011481464},"labels":[],"label_agreement":null},{"id":"W1983585138","doi":"10.1145/2110363.2110444","title":"A comparative evaluation of an ontological medical decision support system (OMeD) for critical environments","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Decision support system; Process (computing); Set (abstract data type); Information retrieval; Representation (politics); Quality (philosophy); Data science; Data mining","score_opus":0.1324402948096335,"score_gpt":0.4097247226292411,"score_spread":0.2772844278196076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983585138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87694675,0.0018224815,0.091248654,0.0019363413,0.00038778086,0.0011660551,0.0023117866,0.008911908,0.015268163],"genre_scores_gemma":[0.8957957,0.00058543065,0.09860821,0.0003256486,0.000050715655,0.0001634636,0.0031296932,0.0001265243,0.0012145882],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973109,0.000932751,0.00031714936,0.00032495285,0.0010085524,0.000105658946],"domain_scores_gemma":[0.98992866,0.00702403,0.0003169348,0.0010906336,0.0012696995,0.00037002584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037884454,0.000551986,0.0006225574,0.0014162848,0.00053733063,0.0013907513,0.0011477027,0.0010220206,0.0017164357],"category_scores_gemma":[0.018764332,0.00020039505,0.00043599593,0.00081753737,0.0005085924,0.0019191151,0.0016945855,0.0006103669,0.0004532112],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0109311845,0.0033538681,0.033751562,0.003152749,0.00067185273,0.0008277946,0.0010668864,0.107405975,0.033171825,0.008480874,0.01256067,0.7846247],"study_design_scores_gemma":[0.0016648713,0.0052522826,0.047799196,0.00030593327,0.0005072719,0.0010019444,0.0011201401,0.86005974,0.03458433,0.006314949,0.041180868,0.00020847662],"about_ca_topic_score_codex":0.0037545396,"about_ca_topic_score_gemma":0.003073841,"teacher_disagreement_score":0.0037884454,"about_ca_system_score_codex":0.0013334652,"about_ca_system_score_gemma":0.001004837,"threshold_uncertainty_score":0.020035446},"labels":[],"label_agreement":null},{"id":"W1983929541","doi":"10.1073/pnas.0911052108","title":"Spatial cyberinfrastructures, ontologies, and the humanities","year":2011,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Cyberinfrastructure; Computer science; Interoperability; World Wide Web; Simple Knowledge Organization System; Data science; Information retrieval; Database; Semantic Web; Semantic analytics; Semantic computing","score_opus":0.06620800828323048,"score_gpt":0.26720119885029464,"score_spread":0.20099319056706416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983929541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14416844,0.01195858,0.60916865,0.03416218,0.0004382892,0.00025794088,0.0013522814,0.0010720033,0.19742157],"genre_scores_gemma":[0.725579,0.0060904343,0.25573343,0.0012914276,0.0002205848,0.0001504246,0.0010288287,0.00016824808,0.009737541],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956474,0.0022057937,0.00042504995,0.0005317499,0.0009475815,0.00024245933],"domain_scores_gemma":[0.98606294,0.007238258,0.0013582417,0.003854882,0.0010984888,0.00038720184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007002598,0.00033238938,0.00032969163,0.004987774,0.0026496802,0.01103803,0.0012343434,0.00073073525,0.0047929054],"category_scores_gemma":[0.009902972,0.00035877767,0.000703734,0.009311428,0.0115347095,0.020684646,0.005908116,0.0012072243,0.00037981808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006177819,0.000014953168,0.0023889616,0.00008585609,0.000015656742,0.000100428406,0.0039412044,0.0019687829,0.00020981362,0.953487,0.0017901004,0.035990886],"study_design_scores_gemma":[0.000009344077,0.000025644693,0.0044060117,0.00034705477,0.000032386873,0.00046133492,0.015011085,0.017114995,0.0024255423,0.61795145,0.34217384,0.000041275092],"about_ca_topic_score_codex":0.021770917,"about_ca_topic_score_gemma":0.017339285,"teacher_disagreement_score":0.021770917,"about_ca_system_score_codex":0.003676035,"about_ca_system_score_gemma":0.0036934093,"threshold_uncertainty_score":0.04328841},"labels":[],"label_agreement":null},{"id":"W1984392652","doi":"10.1145/2462932.2462946","title":"Natural language processing for MediaWiki","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Architecture; World Wide Web; Natural language; Natural language processing; Artificial intelligence; Semantics (computer science); Multimedia; Programming language","score_opus":0.01858873402397744,"score_gpt":0.2920470106708248,"score_spread":0.27345827664684735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984392652","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002449386,0.00043797755,0.9512404,0.0017841667,0.00022780754,0.00040582666,0.0017162589,0.025242561,0.016495567],"genre_scores_gemma":[0.03277127,0.0007493778,0.9440643,0.0006482582,0.0001783653,0.0007913882,0.005671482,0.0023312515,0.012794199],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839765,0.00036898197,0.00024062261,0.00031826165,0.0005933132,0.00008112797],"domain_scores_gemma":[0.99762374,0.000804312,0.00018445108,0.0007782593,0.00047178564,0.00013747906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021591955,0.0008544649,0.00050498755,0.0022606107,0.0017291189,0.0042152177,0.0020714714,0.0011040468,0.014047575],"category_scores_gemma":[0.005596487,0.00076731323,0.0011537024,0.0019371695,0.0014289954,0.0076147895,0.003218899,0.0028210925,0.008508048],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019189199,0.0002972512,0.00085182587,0.0008425114,0.00013068455,0.00082725054,0.0012850821,0.010059065,0.017581912,0.4976655,0.07154697,0.39872015],"study_design_scores_gemma":[0.00005279267,0.000038574803,0.0004997483,0.00019504577,0.000051292263,0.00050304236,0.00021392669,0.09494327,0.018371664,0.35978103,0.5252491,0.00010046522],"about_ca_topic_score_codex":0.0055749533,"about_ca_topic_score_gemma":0.008842184,"teacher_disagreement_score":0.014047575,"about_ca_system_score_codex":0.0013845487,"about_ca_system_score_gemma":0.0025151921,"threshold_uncertainty_score":0.046993792},"labels":[],"label_agreement":null},{"id":"W1984467618","doi":"10.4018/ijkbo.2012100103","title":"Ontology Merging and Reasoning Using Paraconsistent Logics","year":2012,"lang":"en","type":"article","venue":"International Journal of Knowledge-Based Organizations","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Ontology; Computer science; Consistency (knowledge bases); Paraconsistent logic; Perspective (graphical); Description logic; Process (computing); Artificial intelligence; Theoretical computer science; Epistemology; Programming language; Higher-order logic","score_opus":0.02594590843037359,"score_gpt":0.3004306801130365,"score_spread":0.2744847716826629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984467618","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01091711,0.0001853892,0.98447937,0.0005238707,0.000032769767,0.00009894206,0.00007605006,0.0007317057,0.002954804],"genre_scores_gemma":[0.16716813,0.0002746039,0.82999355,0.00026012637,0.000048739403,0.00012140026,0.00034094093,0.00012143952,0.0016709747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.992657,0.0028777476,0.0006363485,0.00083061244,0.0026696748,0.000328497],"domain_scores_gemma":[0.99091196,0.0055317585,0.00086817914,0.0014282083,0.0010314957,0.00022835254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073649855,0.00065472093,0.00086485007,0.002584202,0.002186656,0.0044998447,0.0033647746,0.0018366474,0.0033112706],"category_scores_gemma":[0.01485976,0.0010846531,0.0019465901,0.0026551182,0.0023279707,0.007968412,0.005214565,0.0027755194,0.0006730067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038524417,0.00026478618,0.0016277347,0.00035182683,0.00024035468,0.001137813,0.0018008433,0.10206882,0.009641747,0.6657376,0.0046071587,0.21213616],"study_design_scores_gemma":[0.00008355684,0.0000455987,0.00015923903,0.000044590433,0.00006652387,0.0002584441,0.00027474304,0.406448,0.008519105,0.57434416,0.0097095,0.000046484216],"about_ca_topic_score_codex":0.00414648,"about_ca_topic_score_gemma":0.00581173,"teacher_disagreement_score":0.0073649855,"about_ca_system_score_codex":0.0021793905,"about_ca_system_score_gemma":0.0026349376,"threshold_uncertainty_score":0.038950264},"labels":[],"label_agreement":null},{"id":"W1985257126","doi":"10.1007/s00224-008-9110-5","title":"Structural Recursion as a Query Language on Lists and Ordered Trees","year":2008,"lang":"en","type":"article","venue":"Theory of Computing Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Recursion (computer science); Computer science; Query language; Query optimization; Programming language; Theoretical computer science; Information retrieval","score_opus":0.021331400591311594,"score_gpt":0.2570534105745805,"score_spread":0.2357220099832689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985257126","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016633803,0.0012081895,0.9672867,0.0026430727,0.00014860262,0.00009068912,0.00051797763,0.0014441337,0.0100267995],"genre_scores_gemma":[0.43293375,0.002117697,0.54741514,0.0013605591,0.0005043762,0.00047848403,0.0014707715,0.0011066005,0.01261264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9923201,0.0031660723,0.00089718984,0.0009931887,0.0020114323,0.00061201764],"domain_scores_gemma":[0.9847644,0.0103360545,0.00083473854,0.0018668632,0.0017430943,0.00045488117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007715653,0.00077905826,0.0021602055,0.003971736,0.0030445897,0.010393993,0.0039222795,0.0033067523,0.007434961],"category_scores_gemma":[0.021767868,0.0016763749,0.0027088765,0.008337765,0.008862937,0.03264302,0.0054977178,0.0045384704,0.0015396563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020469366,0.000008152671,0.000078742276,0.00003465055,0.0000053418257,0.000024221727,0.00038871804,0.0014136772,0.0002546112,0.9934282,0.0007490472,0.0035941668],"study_design_scores_gemma":[0.000016661841,0.000010393852,0.000035900382,0.000022984395,0.000018759407,0.000050611146,0.00009650849,0.01563833,0.00041491026,0.97779936,0.0058758743,0.000019810821],"about_ca_topic_score_codex":0.009158516,"about_ca_topic_score_gemma":0.007981608,"teacher_disagreement_score":0.010393993,"about_ca_system_score_codex":0.00504132,"about_ca_system_score_gemma":0.0035771076,"threshold_uncertainty_score":0.040804803},"labels":[],"label_agreement":null},{"id":"W1985359609","doi":"10.1109/icsmc.2010.5641923","title":"Ontology fusion in HLA-based collaborative product development","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National High-tech Research and Development Program","keywords":"Ontology; Computer science; Ontology-based data integration; Upper ontology; Ontology alignment; Flexibility (engineering); Process ontology; Suggested Upper Merged Ontology; Product (mathematics); High-level architecture; Axiom; Information retrieval; Data mining; Semantic Web; World Wide Web; Interoperability; Mathematics","score_opus":0.01132274966083817,"score_gpt":0.24890057099736435,"score_spread":0.23757782133652616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985359609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01847029,0.00031467213,0.974585,0.00023737007,0.000026888152,0.0000699181,0.000018333329,0.0002313757,0.0060461173],"genre_scores_gemma":[0.47621143,0.0005199591,0.52023965,0.00012365951,0.000023979415,0.0001076976,0.00012059833,0.000059564187,0.0025934721],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99517006,0.0019725177,0.00032423984,0.00054773537,0.0017070157,0.00027847482],"domain_scores_gemma":[0.9980579,0.00083979394,0.00019394,0.00044775743,0.0003659252,0.000094635434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005012379,0.00034718888,0.0005351015,0.0012746814,0.0014060537,0.002356487,0.0015782034,0.0010314608,0.0011953777],"category_scores_gemma":[0.005218318,0.0004608303,0.0008555611,0.0013370934,0.002220768,0.0065286886,0.00398493,0.0013409728,0.0003449612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014128549,0.00018280579,0.0019448026,0.00025340248,0.00009504284,0.0007650072,0.0027362711,0.0668363,0.012444671,0.6200916,0.0016293272,0.2928795],"study_design_scores_gemma":[0.00006263861,0.00014087064,0.0012240774,0.000117723146,0.00012251337,0.00069488864,0.0013536619,0.50313216,0.02631871,0.42310336,0.04363124,0.00009815906],"about_ca_topic_score_codex":0.003044497,"about_ca_topic_score_gemma":0.0016542051,"teacher_disagreement_score":0.005012379,"about_ca_system_score_codex":0.0015169834,"about_ca_system_score_gemma":0.0021823768,"threshold_uncertainty_score":0.026508331},"labels":[],"label_agreement":null},{"id":"W1985397115","doi":"10.5210/fm.v15i11.3120","title":"Linked Data tools: Semantic Web for the masses","year":2010,"lang":"en","type":"article","venue":"First Monday","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Semantic Web; Computer science; Social Semantic Web; Semantic Web Stack; Semantic analytics; World Wide Web; Data Web; Semantic technology; Linked data; Semantic grid; Semantic computing; The Internet; Semantic search; Data science; Information retrieval; Web service","score_opus":0.08192929414638306,"score_gpt":0.29678156211766005,"score_spread":0.214852267971277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985397115","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029027788,0.019523453,0.75193197,0.04201229,0.003355764,0.0005071967,0.004856902,0.025592044,0.14931765],"genre_scores_gemma":[0.07512801,0.03243249,0.7657588,0.01615558,0.004205149,0.0012325514,0.017254803,0.0070491796,0.08078344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99572647,0.0013759899,0.00033661863,0.0003762768,0.0019467628,0.00023787751],"domain_scores_gemma":[0.99512744,0.0018349024,0.0002812047,0.0013075918,0.00093188876,0.00051694264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007539138,0.0010753968,0.0009280095,0.0067510013,0.0024233367,0.012633203,0.0028131665,0.0039772894,0.016367542],"category_scores_gemma":[0.015193444,0.0007732478,0.0009659087,0.008493234,0.0038144866,0.027586257,0.008739041,0.0044161784,0.010427373],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006902278,0.00004714011,0.00027864426,0.00050723774,0.000045057317,0.00036584874,0.0011081675,0.0009869935,0.0011614652,0.6403632,0.16485831,0.19020876],"study_design_scores_gemma":[0.00001716839,0.000009213744,0.000088435125,0.00033636586,0.000011449098,0.00015447735,0.00022347442,0.0017792346,0.00066881615,0.28247094,0.7142168,0.000023608472],"about_ca_topic_score_codex":0.0026971973,"about_ca_topic_score_gemma":0.00243632,"teacher_disagreement_score":0.016367542,"about_ca_system_score_codex":0.0019068797,"about_ca_system_score_gemma":0.0044345967,"threshold_uncertainty_score":0.054754913},"labels":[],"label_agreement":null},{"id":"W1985590549","doi":"10.1504/ijhtm.2003.004165","title":"The Semantic Web and healthcare consumers: a new challenge and opportunity on the horizon?","year":2003,"lang":"en","type":"article","venue":"International Journal of Healthcare Technology and Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Social Semantic Web; Semantic Web; Computer science; World Wide Web; Semantic Web Stack; Web standards; Data Web; Semantic grid; Knowledge management; Web service","score_opus":0.036151314172243355,"score_gpt":0.30260263528805326,"score_spread":0.2664513211158099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985590549","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030182379,0.074506484,0.007173074,0.8939905,0.0029842353,0.000010539703,0.000041408144,0.000048829537,0.018226732],"genre_scores_gemma":[0.32561293,0.34432516,0.023128603,0.24672548,0.03454929,0.00016861602,0.00025581685,0.00021094752,0.025023088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950606,0.0029926253,0.0001500353,0.00029004854,0.0010463233,0.00046030263],"domain_scores_gemma":[0.9916306,0.0055712014,0.00037440626,0.0004555696,0.00094168144,0.0010265451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01177043,0.000580804,0.0013944821,0.0014943406,0.0034676408,0.014132203,0.001443283,0.0125886295,0.0072780927],"category_scores_gemma":[0.00906317,0.00040833693,0.0005785051,0.0031367529,0.019552682,0.04676102,0.0065901624,0.008658721,0.001288156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004609315,0.000049260198,0.0006384542,0.00036124577,0.00002079153,0.00016552229,0.0034882363,0.00018395076,0.00013919883,0.8864597,0.052756734,0.055690777],"study_design_scores_gemma":[0.000010999343,0.000024243476,0.00024903732,0.00041312262,0.000008835887,0.0001847345,0.0088949865,0.00036296886,0.000075432145,0.7413433,0.24840713,0.000025302967],"about_ca_topic_score_codex":0.0029113255,"about_ca_topic_score_gemma":0.003018655,"teacher_disagreement_score":0.014132203,"about_ca_system_score_codex":0.0036632805,"about_ca_system_score_gemma":0.0069494727,"threshold_uncertainty_score":0.062248707},"labels":[],"label_agreement":null},{"id":"W198587680","doi":"","title":"Proceedings of the 21st ACM conference on Hypertext and hypermedia","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Toronto","funders":"","keywords":"Hypertext; Hypermedia; Computer science; World Wide Web; Variety (cybernetics); Hyperlink; Multimedia; Web page; Artificial intelligence","score_opus":0.02629560303570196,"score_gpt":0.2350212256761746,"score_spread":0.20872562264047262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W198587680","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010595343,0.12590203,0.1407083,0.046427768,0.119993165,0.0017799833,0.0103022605,0.007953931,0.5363372],"genre_scores_gemma":[0.028823774,0.083191104,0.055731636,0.010121847,0.019269546,0.0010942243,0.022481857,0.0028227898,0.7764632],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963152,0.0012688112,0.00034369275,0.0005647343,0.0012769675,0.00023053105],"domain_scores_gemma":[0.99273854,0.002460389,0.0003034545,0.0012727304,0.0017431012,0.001481807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036104324,0.001408472,0.0023402092,0.0025749183,0.0016400059,0.011357505,0.0021317252,0.0027944816,0.19112395],"category_scores_gemma":[0.010410073,0.00063365785,0.0012669741,0.0034022925,0.0023874477,0.01051923,0.0045269188,0.0049126265,0.1064291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016812928,0.00013371737,0.00097336125,0.0007628048,0.00012639152,0.00026739176,0.00059273525,0.00029818004,0.0026691228,0.016045159,0.76122624,0.2167368],"study_design_scores_gemma":[0.000010672433,0.000023936083,0.00038882438,0.00019325769,0.00002665467,0.00015641382,0.00011653179,0.00042570452,0.00023572554,0.0036934633,0.9947135,0.000015255063],"about_ca_topic_score_codex":0.0033115945,"about_ca_topic_score_gemma":0.0033896563,"teacher_disagreement_score":0.19112395,"about_ca_system_score_codex":0.0014239813,"about_ca_system_score_gemma":0.0036320018,"threshold_uncertainty_score":0.6393733},"labels":[],"label_agreement":null},{"id":"W1986594908","doi":"10.3166/ria.18.515-547","title":"Présentation « sur mesure » d'informations. Une approche appliquée aux mémoires organisationnelles","year":2004,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge base; Abstraction; Order (exchange); Knowledge management; Information retrieval; World Wide Web; Epistemology","score_opus":0.05590372071592457,"score_gpt":0.2917759055785369,"score_spread":0.23587218486261233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986594908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076932455,0.0031112542,0.92456764,0.0043951543,0.00087379443,0.00027481766,0.0004698337,0.0076081753,0.051006105],"genre_scores_gemma":[0.18470068,0.004794653,0.71318823,0.0021541275,0.0009165983,0.00051561237,0.0016904563,0.0020919975,0.08994764],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995207,0.002208441,0.00027430104,0.0008525836,0.0012504179,0.00020718621],"domain_scores_gemma":[0.9935208,0.0027998171,0.00031673058,0.001981935,0.0009694253,0.000411354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005926941,0.0012985516,0.0008986168,0.003048471,0.0020077226,0.010768763,0.0029911932,0.0042398674,0.017704502],"category_scores_gemma":[0.015280432,0.0008534843,0.0017185737,0.0025050796,0.0022399023,0.014012142,0.005957309,0.003009575,0.0077851205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004912371,0.0001598457,0.0013317204,0.001583721,0.00018116622,0.0010748254,0.010806609,0.006457436,0.018567577,0.3621471,0.044131935,0.5530668],"study_design_scores_gemma":[0.000085058084,0.00014595802,0.0005495281,0.000564199,0.00015823403,0.0014302339,0.0023173625,0.02676991,0.011952309,0.16427238,0.7916546,0.00010024929],"about_ca_topic_score_codex":0.0026506456,"about_ca_topic_score_gemma":0.0025527135,"teacher_disagreement_score":0.017704502,"about_ca_system_score_codex":0.0011809455,"about_ca_system_score_gemma":0.0011145327,"threshold_uncertainty_score":0.059227526},"labels":[],"label_agreement":null},{"id":"W1987289053","doi":"10.1111/j.1468-0394.2008.00465.x","title":"Introduction to the special issue on advances in ontologies","year":2008,"lang":"en","type":"article","venue":"Expert Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","score_opus":0.021503508158078378,"score_gpt":0.271777650987983,"score_spread":0.2502741428299046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987289053","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020809016,0.030086765,0.0019875076,0.043743126,0.89859134,0.0001366061,0.000565329,0.000297506,0.024383811],"genre_scores_gemma":[0.0015650527,0.035087496,0.0016604163,0.019377777,0.8780429,0.0001441638,0.0012506006,0.0005951906,0.06227648],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9913833,0.0012495458,0.0011958916,0.0013130292,0.0040962435,0.00076203124],"domain_scores_gemma":[0.96489334,0.010677964,0.0023323642,0.0021152596,0.013642011,0.006339056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00685503,0.002381861,0.0035636483,0.008550476,0.0030912152,0.01510148,0.003135123,0.006001954,0.11900795],"category_scores_gemma":[0.028386304,0.00097154046,0.00286966,0.004879028,0.002323,0.01194363,0.0050194184,0.009603953,0.062140834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017326249,0.000020700605,0.000066106186,0.0003446237,0.000011436571,0.00005244713,0.000044605462,0.000047009355,0.0001296844,0.0021620377,0.97482616,0.02227795],"study_design_scores_gemma":[0.000004697566,0.000016208463,0.00016380964,0.00033051035,0.000007535926,0.00011478347,0.00004260595,0.0000481871,0.00003590841,0.0019237754,0.99730194,0.000010015006],"about_ca_topic_score_codex":0.00088671816,"about_ca_topic_score_gemma":0.0017216081,"teacher_disagreement_score":0.11900795,"about_ca_system_score_codex":0.0038493143,"about_ca_system_score_gemma":0.004398534,"threshold_uncertainty_score":0.39812124},"labels":[],"label_agreement":null},{"id":"W1987594777","doi":"10.2495/safe-v5-n1-1-12","title":"A virtual repository for linked-data-based disaster management applications","year":2015,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Academia Sinica","keywords":"Computer science; Semantics (computer science); Emergency management; Data management; Virtual machine; Database; Software engineering; Operating system; Programming language","score_opus":0.02115263957803215,"score_gpt":0.26050605094979973,"score_spread":0.23935341137176758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987594777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012396741,0.0007302856,0.87279356,0.0010109486,0.00050857954,0.00091525423,0.0037405868,0.09771859,0.01018542],"genre_scores_gemma":[0.16271926,0.0016509789,0.7769436,0.0008374729,0.0003257332,0.0014636505,0.029992187,0.012235468,0.013831614],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957131,0.0010636102,0.0008146206,0.0005945946,0.0015573876,0.00025662745],"domain_scores_gemma":[0.9901917,0.001642615,0.00052669004,0.0048393235,0.0015879328,0.0012118042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007240276,0.0010326928,0.0014774767,0.004217374,0.0020807954,0.007596913,0.0062996317,0.0017915803,0.0065245973],"category_scores_gemma":[0.014405478,0.0011835216,0.0015131738,0.004611358,0.0012343245,0.009433883,0.0110759875,0.002869319,0.00491818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016484256,0.0014716908,0.009895444,0.002438315,0.00059585355,0.0052475957,0.0045595905,0.03917279,0.028394157,0.20931123,0.18701608,0.51024884],"study_design_scores_gemma":[0.00037286867,0.0004153683,0.002656427,0.00070734165,0.00029610685,0.0024283386,0.0008467482,0.20399083,0.031643726,0.08882087,0.66734606,0.0004752838],"about_ca_topic_score_codex":0.001896624,"about_ca_topic_score_gemma":0.0019360082,"teacher_disagreement_score":0.007596913,"about_ca_system_score_codex":0.0010966961,"about_ca_system_score_gemma":0.0029931248,"threshold_uncertainty_score":0.03829074},"labels":[],"label_agreement":null},{"id":"W1987901175","doi":"10.1145/1557626.1557629","title":"An adaptive multi-strategy approach for semantic mapping","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Interoperability; The Internet; Semantic matching; Automation; Data mapping; Matching (statistics); Task (project management); Semantic mapping; Data integration; Semantic interoperability; Semantic integration; Semantic heterogeneity; Distributed computing; Service (business); Data mining; Semantic Web; Information retrieval; Database; World Wide Web; Semantic computing; Ontology-based data integration; Systems engineering","score_opus":0.09390102674707985,"score_gpt":0.30286512799801696,"score_spread":0.20896410125093712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987901175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003259709,0.00015863805,0.9822634,0.0002681945,0.000044494856,0.00011206741,0.000021745242,0.0002550726,0.0136166075],"genre_scores_gemma":[0.20760354,0.0003460578,0.77865726,0.00033198678,0.00005609462,0.00044912304,0.00012585256,0.00020048009,0.012229593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975311,0.0009574872,0.00015944101,0.00046327093,0.00071108784,0.0001776003],"domain_scores_gemma":[0.99904364,0.000383597,0.000061319784,0.0002683104,0.00016457624,0.000078533616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024442156,0.0011528565,0.00076812087,0.0021952332,0.0011591193,0.002595317,0.00264626,0.0017037814,0.0054657483],"category_scores_gemma":[0.0040107844,0.00046537982,0.001394071,0.0013888995,0.0025727944,0.0043037175,0.004069962,0.0016598002,0.001332374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007372283,0.00010110936,0.00055441447,0.0001133682,0.00009259339,0.00039629472,0.00062532857,0.028181266,0.006452738,0.82568663,0.001990006,0.1357325],"study_design_scores_gemma":[0.000037829213,0.00015388352,0.00032650854,0.000063431566,0.00007634164,0.00069074606,0.00041507636,0.38101417,0.006324649,0.57795334,0.032867312,0.0000766922],"about_ca_topic_score_codex":0.0014100557,"about_ca_topic_score_gemma":0.0014887318,"teacher_disagreement_score":0.0054657483,"about_ca_system_score_codex":0.0015173778,"about_ca_system_score_gemma":0.0014169505,"threshold_uncertainty_score":0.018284738},"labels":[],"label_agreement":null},{"id":"W1988602551","doi":"10.3166/ria.18.549-576","title":"Delivering actionable information","year":2004,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Data science; Information retrieval","score_opus":0.052371064740896645,"score_gpt":0.269101546947409,"score_spread":0.21673048220651236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988602551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085153624,0.001715304,0.6731869,0.008804201,0.0010346363,0.0022300987,0.0024646455,0.018999517,0.20641114],"genre_scores_gemma":[0.52614284,0.0028037566,0.40338978,0.003111258,0.00042263596,0.00077737315,0.002897092,0.0020906052,0.058364782],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959519,0.0012229783,0.00031926244,0.0006388249,0.0015762033,0.00029082983],"domain_scores_gemma":[0.9866066,0.006965231,0.0008512613,0.0037593527,0.0012623805,0.0005551967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004167655,0.0011871697,0.00044252185,0.0014524575,0.00080898654,0.0039406894,0.0023274182,0.002549954,0.024161484],"category_scores_gemma":[0.025801951,0.00056458026,0.0008312094,0.0011589188,0.0014544852,0.006350044,0.0051332586,0.0019625514,0.0074752965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006058663,0.0008653329,0.0056721126,0.0032971196,0.00020210369,0.0023319966,0.014420031,0.0084467465,0.09793988,0.18216161,0.04233278,0.6417244],"study_design_scores_gemma":[0.00030665562,0.001221721,0.0071713203,0.00094960205,0.00053619064,0.0019194422,0.0061804196,0.03325356,0.110950425,0.2087664,0.6285218,0.00022256906],"about_ca_topic_score_codex":0.0014334414,"about_ca_topic_score_gemma":0.0012363525,"teacher_disagreement_score":0.024161484,"about_ca_system_score_codex":0.00074114493,"about_ca_system_score_gemma":0.0014561185,"threshold_uncertainty_score":0.08082825},"labels":[],"label_agreement":null},{"id":"W198982133","doi":"10.1007/978-3-642-28472-4_18","title":"Verifying Resource Requirements for Ontology-Driven Rule-Based Agents","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Programming language; Semantic Web Rule Language; Ontology; Rewriting; Ontology language; Semantic Web; Web Ontology Language; RuleML; Rule-based system; Software engineering; Model checking; Inference engine; Inference; Artificial intelligence; XML; Web service; World Wide Web; Semantic Web Stack; Semantic analytics; Markup language","score_opus":0.06258688654848463,"score_gpt":0.2956569003980839,"score_spread":0.23307001384959927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W198982133","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15232213,0.00011591906,0.8348956,0.00043914176,0.00011451503,0.00086722174,0.0007519077,0.005791522,0.004701925],"genre_scores_gemma":[0.6094482,0.000086200744,0.38620436,0.0001901345,0.000029944731,0.00031220604,0.0014390666,0.00067982136,0.0016100942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98005646,0.0053182873,0.0023002569,0.0021213456,0.008725434,0.0014780967],"domain_scores_gemma":[0.9500528,0.0331177,0.002714794,0.007180404,0.006142407,0.0007919144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009958368,0.0009488672,0.0015130413,0.0012869138,0.0012666013,0.0041961703,0.004568709,0.0025230714,0.0030219147],"category_scores_gemma":[0.05331316,0.0015698307,0.0026442914,0.00087989337,0.0023564938,0.00492811,0.0034301302,0.0021048547,0.0009922453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022087242,0.0011451483,0.0118296435,0.0010611914,0.00059281685,0.0028415525,0.0017358817,0.66172093,0.07335905,0.091390766,0.00501515,0.14709911],"study_design_scores_gemma":[0.00013514986,0.00013813165,0.00051647075,0.000046284902,0.00010224458,0.0001732222,0.0002149323,0.9360587,0.030039446,0.030702285,0.001834394,0.000038713664],"about_ca_topic_score_codex":0.011437814,"about_ca_topic_score_gemma":0.01185388,"teacher_disagreement_score":0.011437814,"about_ca_system_score_codex":0.0017084408,"about_ca_system_score_gemma":0.0045636934,"threshold_uncertainty_score":0.05266553},"labels":[],"label_agreement":null},{"id":"W1989944978","doi":"10.1004/s10506-007-9060-2","title":"A transdisciplinary ontology of innovation governance","year":2008,"lang":"en","type":"article","venue":"PhilPapers (PhilPapers Foundation)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ontology; Corporate governance; Knowledge management; Function (biology); Intellectual property; Mechanism (biology); Legal aspects of computing; Product (mathematics); Representation (politics); Perspective (graphical); Business; Political science; Computer science; The Internet; Epistemology; Law; Artificial intelligence","score_opus":0.032053693825592394,"score_gpt":0.25795890437280544,"score_spread":0.22590521054721305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989944978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013889989,0.006669492,0.6087277,0.026491342,0.0005097193,0.00016084031,0.000208409,0.00017068442,0.34317178],"genre_scores_gemma":[0.70207703,0.010666023,0.24027453,0.0046550855,0.00067365455,0.0007587323,0.00042894573,0.00013470257,0.040331308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99557364,0.002299227,0.0003365546,0.0006672233,0.00081993005,0.00030331165],"domain_scores_gemma":[0.99800974,0.0007853188,0.00020357645,0.0005575753,0.00023880394,0.00020508471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037642086,0.00050350686,0.00060166477,0.0036179894,0.0032449223,0.008905927,0.0012723707,0.0033244607,0.0033611853],"category_scores_gemma":[0.0027795183,0.00036143893,0.0012181307,0.004788336,0.019519443,0.013957627,0.0047655734,0.0038975282,0.0006026013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.5502064e-7,0.0000022207719,0.000029982455,0.000007499139,0.0000015956998,0.000012446745,0.00044785856,0.00018551567,0.00003215731,0.9977412,0.00023270496,0.0013060919],"study_design_scores_gemma":[0.0000032709243,0.0000026333921,0.00008994588,0.000040151932,0.0000034290404,0.00005019681,0.00057819416,0.0012718872,0.00004253259,0.9546991,0.04321488,0.0000037972418],"about_ca_topic_score_codex":0.005266065,"about_ca_topic_score_gemma":0.0037043218,"teacher_disagreement_score":0.008905927,"about_ca_system_score_codex":0.0057919016,"about_ca_system_score_gemma":0.0048432765,"threshold_uncertainty_score":0.04202342},"labels":[],"label_agreement":null},{"id":"W1989955404","doi":"10.1109/icif.2007.4408096","title":"Ontological engineering for threat evaluation and weapon assignment: a goal-driven approach","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Interoperability; Exploit; Domain (mathematical analysis); Key (lock); Component (thermodynamics); Ontology; Knowledge management; Software engineering; Systems engineering; Management science; Computer security; Engineering","score_opus":0.036614996801312125,"score_gpt":0.28801029741944023,"score_spread":0.2513953006181281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989955404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030885104,0.00042794948,0.984852,0.0023421524,0.00005243854,0.00025663932,0.00012859706,0.00012831592,0.008723357],"genre_scores_gemma":[0.072689705,0.00084023795,0.9223165,0.00037617784,0.000058877344,0.00041619714,0.0004949683,0.00008848159,0.0027187557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.993964,0.0031684698,0.0003749052,0.00029304376,0.0019219866,0.00027755654],"domain_scores_gemma":[0.99608946,0.0021404766,0.00029070725,0.00051787804,0.0007576962,0.00020379605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008129344,0.0011640232,0.0010273869,0.0055892677,0.0026290696,0.006920823,0.0030299977,0.0019781215,0.0017928982],"category_scores_gemma":[0.00958994,0.0008995694,0.0023124812,0.003987982,0.0043687057,0.007488562,0.004443072,0.0034362988,0.0006942198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003597171,0.0001564256,0.0006280261,0.00033545904,0.00011110201,0.00035008628,0.0020460559,0.026086614,0.001650316,0.88907313,0.0033709316,0.076155886],"study_design_scores_gemma":[0.00001962764,0.00002533923,0.00036121334,0.00030533495,0.000068288544,0.00017754102,0.0017641704,0.12251895,0.0018961726,0.8335606,0.039250597,0.000052089305],"about_ca_topic_score_codex":0.009944622,"about_ca_topic_score_gemma":0.0132407835,"teacher_disagreement_score":0.009944622,"about_ca_system_score_codex":0.004061254,"about_ca_system_score_gemma":0.006269617,"threshold_uncertainty_score":0.04299259},"labels":[],"label_agreement":null},{"id":"W1990558149","doi":"10.1108/07419050610704303","title":"Unlocking Scholarly Access: ETDs, Institutional Repositories and Creators: Highlights of ETD 2006, the 9th International Symposium on Electronic Theses and Dissertations","year":2006,"lang":"en","type":"article","venue":"Library Hi Tech News","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Library and Archives Canada","funders":"","keywords":"Originality; Library science; Publishing; Value (mathematics); Open access publishing; Scholarly communication; World Wide Web; Political science; Open access journal; Engineering; Management; Computer science; Law","score_opus":0.010452055471493851,"score_gpt":0.24048821727824635,"score_spread":0.2300361618067525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990558149","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046278168,0.15690483,0.023363305,0.5994935,0.011158791,0.00038053188,0.00054779503,0.0005029521,0.16137022],"genre_scores_gemma":[0.52801234,0.17691001,0.021703808,0.032322425,0.011911189,0.00044086855,0.0010045099,0.000664311,0.22703055],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99243164,0.0035370109,0.00033710166,0.00047307392,0.0025791067,0.0006421447],"domain_scores_gemma":[0.98257,0.006232611,0.0014712729,0.0014453692,0.0057873186,0.0024933463],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.019963609,0.00028005795,0.0003789873,0.0031010308,0.00626172,0.026394894,0.001520788,0.002031886,0.0074020536],"category_scores_gemma":[0.01748834,0.0002796633,0.00033792,0.007228783,0.008643409,0.0119799515,0.0055438173,0.0025241433,0.0010752318],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009462362,0.00008132979,0.004797321,0.0018033745,0.000028170502,0.00057306024,0.057274334,0.00027862616,0.0014718168,0.17533377,0.32612687,0.43213668],"study_design_scores_gemma":[0.000009734624,0.000021281076,0.0029830649,0.00071375474,0.000014480637,0.00030044105,0.026299931,0.00013920375,0.00061734044,0.00806939,0.9608034,0.00002804648],"about_ca_topic_score_codex":0.048850942,"about_ca_topic_score_gemma":0.121540956,"teacher_disagreement_score":0.9984792,"about_ca_system_score_codex":0.014540812,"about_ca_system_score_gemma":0.02237106,"threshold_uncertainty_score":0.1055789},"labels":[],"label_agreement":null},{"id":"W1990710596","doi":"10.1145/2166896.2166923","title":"Towards clinical intelligence with SADI semantic web services","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Ottawa; University of New Brunswick","funders":"","keywords":"Computer science; Semantic Web; RDF; Social Semantic Web; Semantic data model; Semantic grid; Semantic analytics; Information retrieval; Linked data; Relational database; Semantic Web Stack; World Wide Web","score_opus":0.07693153694208288,"score_gpt":0.3049162206138758,"score_spread":0.22798468367179292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990710596","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013160021,0.0017907983,0.92654425,0.012844956,0.00039698265,0.0004910869,0.0010387282,0.006859373,0.036873944],"genre_scores_gemma":[0.1251064,0.0020785283,0.8610506,0.0028716945,0.00016697039,0.00022808244,0.002910143,0.00035117473,0.0052364473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996231,0.0011921144,0.00045512136,0.00030814722,0.0015374424,0.00027611575],"domain_scores_gemma":[0.99700123,0.0010679269,0.00020733956,0.00052411755,0.00085706916,0.00034232764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008280654,0.00042560842,0.0006747626,0.0024158692,0.00094931887,0.0058586,0.0017388469,0.0015205577,0.002092448],"category_scores_gemma":[0.008138516,0.0005565574,0.0011061882,0.0031782025,0.0014911778,0.0060555213,0.004496162,0.0021637143,0.0014344704],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032158388,0.0002450287,0.004025256,0.0006272633,0.00014343494,0.0010547085,0.0021305596,0.014957183,0.0071857064,0.66097444,0.039914273,0.26842052],"study_design_scores_gemma":[0.00009797842,0.000068475805,0.0007870791,0.00030896123,0.00009745359,0.0007611413,0.0013036658,0.17138585,0.008236795,0.40567154,0.41121104,0.00007018408],"about_ca_topic_score_codex":0.006629795,"about_ca_topic_score_gemma":0.0073861657,"teacher_disagreement_score":0.008280654,"about_ca_system_score_codex":0.0020506715,"about_ca_system_score_gemma":0.004048535,"threshold_uncertainty_score":0.043792784},"labels":[],"label_agreement":null},{"id":"W1990748884","doi":"10.1145/1297846.1297887","title":"A framework for distributed collaborative conceptual model development","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Conceptual model; Development (topology); Knowledge management; Data science; Management science; Engineering; Mathematics","score_opus":0.047086536100382596,"score_gpt":0.31274924946169297,"score_spread":0.26566271336131037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990748884","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037502026,0.00007276484,0.99679583,0.00034831592,0.000022543796,0.00011367577,0.000048134174,0.00053225184,0.0016915445],"genre_scores_gemma":[0.016618239,0.00013334976,0.9812681,0.000077267425,0.00002056449,0.0003574398,0.000249934,0.000105154475,0.0011698637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99208856,0.0036634202,0.00080766744,0.0010124698,0.002090368,0.00033748007],"domain_scores_gemma":[0.9930046,0.0026798644,0.00042980118,0.0022008917,0.0010841467,0.00060062733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015601243,0.0013362232,0.001276995,0.00300424,0.0031549013,0.009260788,0.0069425455,0.0038610208,0.0074384343],"category_scores_gemma":[0.018592017,0.0016694114,0.0035575428,0.0028911822,0.003979621,0.009544503,0.009634962,0.004680258,0.0021217272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035379046,0.00007465697,0.00027692862,0.000160344,0.000087686734,0.0003503005,0.0012161223,0.03252275,0.00083923724,0.9089182,0.0041694003,0.05134904],"study_design_scores_gemma":[0.000065194676,0.000049070786,0.0000962915,0.00021127728,0.0000683321,0.0002587999,0.0004230471,0.2696686,0.0009843694,0.648266,0.07985022,0.000058631995],"about_ca_topic_score_codex":0.011416289,"about_ca_topic_score_gemma":0.013545937,"teacher_disagreement_score":0.015601243,"about_ca_system_score_codex":0.0034640785,"about_ca_system_score_gemma":0.0066511743,"threshold_uncertainty_score":0.082508266},"labels":[],"label_agreement":null},{"id":"W1992038502","doi":"10.1145/2554850.2554853","title":"Is ontology alignment like analogy?","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ontology; Analogy; Computer science; Ontology-based data integration; Process ontology; Upper ontology; Ontology alignment; Domain (mathematical analysis); Ontology Inference Layer; Ontology components; Suggested Upper Merged Ontology; Semantic Web; Formal ontology; Information retrieval; Analogical reasoning; Natural language processing; Artificial intelligence; OWL-S; Mathematics; Linguistics; Social Semantic Web; Epistemology","score_opus":0.033565387364479164,"score_gpt":0.2829599635689096,"score_spread":0.24939457620443045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992038502","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12272145,0.0031811432,0.79444796,0.016283857,0.0010366401,0.00016286326,0.0003316364,0.0015870526,0.06024738],"genre_scores_gemma":[0.7853335,0.0020444207,0.20144704,0.0024926788,0.00073449186,0.0001353805,0.00064292486,0.00037103935,0.0067984713],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9913924,0.0037082839,0.00048286584,0.0020153392,0.00194156,0.00045959064],"domain_scores_gemma":[0.9683459,0.02205547,0.0022653579,0.0045264293,0.0021866558,0.0006202252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068378495,0.0005716319,0.0016992681,0.0027470498,0.0023231492,0.0052352054,0.0025024156,0.003718999,0.009190966],"category_scores_gemma":[0.06768934,0.000526051,0.0010016246,0.0052764537,0.005406395,0.03490107,0.0038808216,0.003007504,0.0023118737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029430966,0.00019582658,0.00876684,0.0005077147,0.00016348899,0.00034556433,0.0016243785,0.010761053,0.0023779832,0.6107158,0.01327605,0.35097095],"study_design_scores_gemma":[0.000018259469,0.000042184456,0.001065912,0.000045124274,0.00002692816,0.00046605206,0.0006236427,0.023539707,0.0013051116,0.9636213,0.009215902,0.000029830246],"about_ca_topic_score_codex":0.0013645075,"about_ca_topic_score_gemma":0.0009996564,"teacher_disagreement_score":0.009190966,"about_ca_system_score_codex":0.0011397934,"about_ca_system_score_gemma":0.0015753403,"threshold_uncertainty_score":0.036162436},"labels":[],"label_agreement":null},{"id":"W1992456070","doi":"10.1300/j104v40n03_04","title":"Metadata, Metaphor, and Metonymy","year":2005,"lang":"en","type":"article","venue":"Cataloging & Classification Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Metadata; Metonymy; Metaphor; Computer science; Metaphor and metonymy; Information retrieval; World Wide Web; Cataloging; Linguistics; Library science; Database; Philosophy","score_opus":0.025652414695197003,"score_gpt":0.25430366465940596,"score_spread":0.22865124996420896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992456070","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04867097,0.08134501,0.10763849,0.12704708,0.0040613674,0.0001293386,0.00066247955,0.00045610886,0.62998915],"genre_scores_gemma":[0.91221243,0.017381081,0.03043347,0.0054687266,0.0025868304,0.00021575524,0.00049476104,0.00019823809,0.031008761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99780244,0.0013469155,0.00016239916,0.0001693687,0.00038060418,0.00013831766],"domain_scores_gemma":[0.9970299,0.001716126,0.00022638566,0.00034299106,0.00047934687,0.00020515748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026217427,0.00053982117,0.00067194545,0.004998256,0.0039014735,0.0066059395,0.0010348009,0.0013459855,0.008508431],"category_scores_gemma":[0.0050654,0.0002517404,0.00051003834,0.004422248,0.016230501,0.016739946,0.0038910708,0.0025607587,0.0010501927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008782467,0.0000048101647,0.00010874742,0.000056921377,0.0000027291662,0.000041675597,0.0018704946,0.00007228096,0.000060003305,0.98604727,0.0044675823,0.007258604],"study_design_scores_gemma":[0.000007677951,0.000013163922,0.00017477566,0.0001182147,0.000003943663,0.00020049445,0.0023929041,0.00026959777,0.00010431238,0.892398,0.10430567,0.000011215385],"about_ca_topic_score_codex":0.0020060083,"about_ca_topic_score_gemma":0.0016002989,"teacher_disagreement_score":0.008508431,"about_ca_system_score_codex":0.0037727226,"about_ca_system_score_gemma":0.0018050805,"threshold_uncertainty_score":0.028463602},"labels":[],"label_agreement":null},{"id":"W1992691722","doi":"10.1016/j.knosys.2004.05.004","title":"Web Intelligence: exploring structures, semantics, and knowledge of the Web","year":2004,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Semantics (computer science); World Wide Web; Semantic Web; Social Semantic Web; Web intelligence; Information retrieval; Web service; Web development; Programming language","score_opus":0.05131974831725774,"score_gpt":0.2683375434120264,"score_spread":0.21701779509476868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992691722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05404867,0.10186306,0.72930753,0.026722757,0.0007698604,0.00024780835,0.0015198991,0.0013330365,0.08418743],"genre_scores_gemma":[0.5693754,0.0673634,0.34510183,0.0022805298,0.000955392,0.00028849073,0.003428774,0.00022909834,0.0109770475],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984011,0.00053615286,0.00012155051,0.00023036645,0.0006405663,0.000070248956],"domain_scores_gemma":[0.9975944,0.0016959345,0.00015062318,0.00027431996,0.00014943193,0.00013509915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017750765,0.00081450865,0.0009553332,0.005337886,0.0011082159,0.012194988,0.0015173084,0.0021771786,0.0031134642],"category_scores_gemma":[0.0073238597,0.0006650755,0.0008171931,0.0064433385,0.006967338,0.028824504,0.0027015076,0.0026021246,0.0007967269],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038416754,0.00007328495,0.001819827,0.0009390642,0.00009921242,0.00025831384,0.0024486629,0.0038353151,0.0011739522,0.85529,0.007465757,0.12655813],"study_design_scores_gemma":[0.000005865339,0.0000063911352,0.0003865404,0.00019257152,0.000027723594,0.00012577417,0.0007796552,0.0058869002,0.00040080905,0.9650324,0.027143613,0.000011702414],"about_ca_topic_score_codex":0.004308592,"about_ca_topic_score_gemma":0.0038703084,"teacher_disagreement_score":0.012194988,"about_ca_system_score_codex":0.0015927524,"about_ca_system_score_gemma":0.0024756147,"threshold_uncertainty_score":0.011556327},"labels":[],"label_agreement":null},{"id":"W1994785421","doi":"10.5220/0005072700560066","title":"Data-driven Diachronic and Categorical Evaluation of Ontologies - Framework, Measure, and Metrics","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Measure (data warehouse); Categorical variable; Computer science; Natural language processing; Data mining; Data science; Information retrieval; Machine learning","score_opus":0.13633827519230504,"score_gpt":0.33857888061736524,"score_spread":0.2022406054250602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994785421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15391426,0.0016802363,0.82898796,0.0016591193,0.00015661024,0.0003432469,0.0013285459,0.0004641536,0.011465825],"genre_scores_gemma":[0.7736739,0.0003202244,0.22331916,0.00012930416,0.00007296786,0.00039759112,0.0012474583,0.00012865824,0.00071072066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9453589,0.023337549,0.0049715177,0.0030303265,0.022435859,0.00086578954],"domain_scores_gemma":[0.8551455,0.085298695,0.014701921,0.0145259695,0.027755417,0.0025724918],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0371119,0.0007133945,0.0010783051,0.012674403,0.0013818495,0.0067860587,0.0017456406,0.0016045971,0.0008572421],"category_scores_gemma":[0.17352171,0.00034719947,0.00088827667,0.0112319235,0.0049362867,0.00939322,0.005218445,0.0016990005,0.00027075474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061385473,0.0003191144,0.10536594,0.0010014889,0.00040679247,0.00013288535,0.0035805043,0.040424075,0.0070770103,0.5333703,0.0028538418,0.30485412],"study_design_scores_gemma":[0.000054085584,0.00049676193,0.0448202,0.0004336466,0.0001574831,0.00041889574,0.0027396844,0.25728065,0.01596182,0.6624962,0.014854139,0.00028643257],"about_ca_topic_score_codex":0.0030705112,"about_ca_topic_score_gemma":0.0029187668,"teacher_disagreement_score":0.9628881,"about_ca_system_score_codex":0.0049204533,"about_ca_system_score_gemma":0.0029813147,"threshold_uncertainty_score":0.1962688},"labels":[],"label_agreement":null},{"id":"W1995725245","doi":"10.1145/1135777.1136010","title":"Visualizing an historical semantic web with Heml","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Computer science; RDF; Semantic Web; Semantic analytics; Linked data; Social Semantic Web; World Wide Web; Vocabulary; Information retrieval; SPARQL; Semantic Web Rule Language; Semantic Web Stack; Markup language; Semantic computing; Linguistics; XML","score_opus":0.0177877408314429,"score_gpt":0.24419197678358823,"score_spread":0.22640423595214532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995725245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0142685985,0.0011031781,0.85282755,0.002492686,0.00038125872,0.00018118814,0.009104129,0.03356579,0.08607562],"genre_scores_gemma":[0.20492376,0.0026936878,0.7478237,0.00072914164,0.00019615347,0.00027786393,0.014414257,0.0057523455,0.023189075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995846,0.00017335957,0.000034194,0.000058748414,0.00012226892,0.000026872782],"domain_scores_gemma":[0.9993031,0.0003425076,0.000046816156,0.00016895618,0.00008500569,0.000053508113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013448591,0.00049784326,0.00030690685,0.003020731,0.000885251,0.0045051347,0.00055628474,0.00066411495,0.016765261],"category_scores_gemma":[0.002509782,0.00036621667,0.0006067265,0.0024918434,0.00072051113,0.0058398917,0.0027303605,0.0012655377,0.0030705244],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036347125,0.00020005826,0.002938981,0.0010465777,0.00011480547,0.001648791,0.010420983,0.019357096,0.015691156,0.5151149,0.108242564,0.32486066],"study_design_scores_gemma":[0.000042417436,0.000026103853,0.0012325849,0.00032560964,0.000040452196,0.0004432539,0.002002145,0.042825185,0.008435719,0.18430424,0.7602487,0.0000735922],"about_ca_topic_score_codex":0.0036145428,"about_ca_topic_score_gemma":0.0066961325,"teacher_disagreement_score":0.016765261,"about_ca_system_score_codex":0.0007239987,"about_ca_system_score_gemma":0.0006846273,"threshold_uncertainty_score":0.056085408},"labels":[],"label_agreement":null},{"id":"W1995725266","doi":"10.1109/titb.2003.821334","title":"DICOM structured report document type definition","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Information Technology in Biomedicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"DICOM; Computer science; XML; Document type definition; Information retrieval; Markup language; ENCODE; Medical imaging; SGML; Document Structure Description; World Wide Web; Artificial intelligence","score_opus":0.01297331531851464,"score_gpt":0.24824126855452322,"score_spread":0.23526795323600858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995725266","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015117086,0.0068414747,0.5024121,0.012494449,0.012030172,0.011870506,0.3417064,0.011942886,0.099190295],"genre_scores_gemma":[0.009605787,0.008817477,0.5556338,0.0054807053,0.0040480904,0.010320626,0.36424777,0.003848263,0.03799749],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97740376,0.0066085635,0.0075885896,0.0015769727,0.006278602,0.0005436253],"domain_scores_gemma":[0.94611406,0.015297957,0.006523798,0.008884232,0.02147312,0.0017068129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013683866,0.002457377,0.0024629894,0.015683364,0.0017170756,0.009014991,0.004707445,0.005101931,0.08379941],"category_scores_gemma":[0.06251313,0.0012899799,0.0014049173,0.012532504,0.001871677,0.006523763,0.00363608,0.0032562113,0.07537168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032175667,0.00005964131,0.0007027628,0.0030054671,0.000052712337,0.00064277824,0.00028402524,0.002299329,0.0017549997,0.06838214,0.80628854,0.11620584],"study_design_scores_gemma":[0.00006291275,0.000033418895,0.0002412576,0.00037757287,0.000019986646,0.00072424195,0.00006898836,0.0015750016,0.00091229496,0.010000151,0.98593765,0.00004648129],"about_ca_topic_score_codex":0.005025502,"about_ca_topic_score_gemma":0.003409088,"teacher_disagreement_score":0.08379941,"about_ca_system_score_codex":0.0030816917,"about_ca_system_score_gemma":0.0076383264,"threshold_uncertainty_score":0.28033692},"labels":[],"label_agreement":null},{"id":"W1995811343","doi":"10.1016/j.autcon.2010.11.009","title":"Formalisms for query capture and data source identification to support data fusion for construction productivity monitoring","year":2010,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Computer science; Identification (biology); Rotation formalisms in three dimensions; Data mining; Sensor fusion; Set (abstract data type); Data set; Data source; Data integration; Machine learning; Artificial intelligence","score_opus":0.053451535629883674,"score_gpt":0.32983641529588603,"score_spread":0.27638487966600234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995811343","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018798099,0.00009042646,0.9945623,0.00039492964,0.000028656941,0.00018235874,0.0003459591,0.0015024868,0.0010130047],"genre_scores_gemma":[0.08500641,0.00029578863,0.911052,0.00034134614,0.00005746403,0.00045344717,0.0014675927,0.00043050293,0.0008953658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98766696,0.0038385454,0.0026346133,0.0014425005,0.0038019237,0.00061545597],"domain_scores_gemma":[0.97434956,0.010740129,0.0016228459,0.009212168,0.0036007087,0.000474565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022593413,0.0009880267,0.0017111176,0.0059573855,0.0023633486,0.010241818,0.004210747,0.0026411014,0.0029840488],"category_scores_gemma":[0.040438775,0.0017831704,0.004171536,0.005296483,0.0037471806,0.012541341,0.006874298,0.005035614,0.0011074656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019173567,0.0002845143,0.002507738,0.0004713822,0.00027720563,0.0007197384,0.0028323377,0.029817257,0.007011126,0.83847374,0.008969921,0.10844334],"study_design_scores_gemma":[0.00009027157,0.0000477982,0.0007856117,0.00037654198,0.00029687368,0.00044025597,0.0006776382,0.31644738,0.015561762,0.6217259,0.043397,0.00015291719],"about_ca_topic_score_codex":0.011764663,"about_ca_topic_score_gemma":0.015553627,"teacher_disagreement_score":0.022593413,"about_ca_system_score_codex":0.0027617062,"about_ca_system_score_gemma":0.005787993,"threshold_uncertainty_score":0.11948681},"labels":[],"label_agreement":null},{"id":"W1997018913","doi":"10.5865/ijkct.2014.4.1.039","title":"The Basic Concepts Classification as a Bottom-Up Strategy for the Semantic Web","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF KNOWLEDGE CONTENT DEVELOPMENT & TECHNOLOGY","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Semantic Web; sort; RDF; Vocabulary; Social Semantic Web; Process (computing); Information retrieval; Semantic Web Stack; Semantic analytics; World Wide Web; Programming language; Linguistics","score_opus":0.07107678152310465,"score_gpt":0.3299804077767558,"score_spread":0.25890362625365115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997018913","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016019832,0.00040465716,0.98297864,0.0019213683,0.0003212858,0.0002409723,0.00018119682,0.0006820295,0.011667928],"genre_scores_gemma":[0.03984819,0.0004686422,0.9525242,0.001284264,0.00017240514,0.00039856456,0.0006585881,0.0003354453,0.00430965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99442,0.0019491278,0.0004969681,0.0008527763,0.002035332,0.0002458768],"domain_scores_gemma":[0.99610186,0.0014210301,0.00017676566,0.0012020363,0.00087131496,0.00022698114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063506034,0.0009808359,0.0010420132,0.0050255517,0.003071606,0.0072001624,0.0029836842,0.0018733889,0.0045059305],"category_scores_gemma":[0.006860431,0.0008410777,0.0030225671,0.0037430727,0.0070446837,0.011085889,0.0032034046,0.005405941,0.0025160692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023117758,0.000036181176,0.00029367453,0.00012905552,0.00003108687,0.00010541535,0.0005938638,0.0015543977,0.0014188915,0.9286476,0.0069320044,0.06023479],"study_design_scores_gemma":[0.000014094836,0.00002796946,0.00018971117,0.00016451126,0.000038565802,0.00019970741,0.00023894508,0.016399989,0.0026252547,0.8697689,0.11029546,0.000036861424],"about_ca_topic_score_codex":0.007575234,"about_ca_topic_score_gemma":0.005406608,"teacher_disagreement_score":0.007575234,"about_ca_system_score_codex":0.0026697512,"about_ca_system_score_gemma":0.0040413295,"threshold_uncertainty_score":0.033585608},"labels":[],"label_agreement":null},{"id":"W1997189720","doi":"10.1145/1772690.1772769","title":"Ad-hoc object retrieval in the web of data","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval; Semantic search; Semantic Web Stack; World Wide Web; Semantic Web; Task (project management); Social Semantic Web; Web crawler","score_opus":0.0525306809662658,"score_gpt":0.3049089113304313,"score_spread":0.2523782303641655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997189720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038252864,0.006483746,0.9407401,0.0038831884,0.00013574692,0.0005230933,0.0004467411,0.0007555097,0.008778848],"genre_scores_gemma":[0.5085731,0.009790833,0.46991798,0.0008906326,0.00033521195,0.00073877384,0.0018033393,0.00027149837,0.007678645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99149317,0.0036365858,0.00082448055,0.000916825,0.002864095,0.00026483924],"domain_scores_gemma":[0.98219925,0.0120992595,0.0008903101,0.0032524774,0.0012103737,0.00034834104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011253869,0.00074500346,0.0020282143,0.007023492,0.0024016406,0.009331764,0.0023064876,0.0030093275,0.0019980283],"category_scores_gemma":[0.025621133,0.00067071384,0.001505198,0.009871878,0.0053749923,0.023611614,0.004568919,0.0020786943,0.0010534453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022011268,0.00028455062,0.00288583,0.001397296,0.00020469463,0.00046926414,0.0014292245,0.04357181,0.0058765025,0.76311904,0.0072475797,0.17329414],"study_design_scores_gemma":[0.00007812729,0.00018221544,0.0009796942,0.00019879111,0.00013443068,0.0010004432,0.0013470782,0.21899335,0.008975312,0.7286496,0.03937731,0.000083546925],"about_ca_topic_score_codex":0.0026680098,"about_ca_topic_score_gemma":0.0020173285,"teacher_disagreement_score":0.011253869,"about_ca_system_score_codex":0.0025392745,"about_ca_system_score_gemma":0.0022615476,"threshold_uncertainty_score":0.059516847},"labels":[],"label_agreement":null},{"id":"W1997538218","doi":"10.1108/09696470510700394","title":"Semantic networks and social networks","year":2005,"lang":"en","type":"article","venue":"The Learning Organization","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Social Semantic Web; Semantic grid; Metadata; Semantic Web Stack; World Wide Web; Semantic Web; Social network (sociolinguistics); Information retrieval; Semantic computing; Semantic analytics; Metadata modeling; Metadata repository; Social media","score_opus":0.008710330449946615,"score_gpt":0.21424521690577844,"score_spread":0.20553488645583182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997538218","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09050534,0.016966168,0.33725655,0.07156928,0.0011838477,0.00033353132,0.0012491159,0.0004033486,0.4805328],"genre_scores_gemma":[0.9205275,0.0072405334,0.050973143,0.0014646979,0.0004874626,0.00041259697,0.0004956691,0.000049401715,0.018349132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99805355,0.0012421437,0.00007120634,0.00021929729,0.00029580764,0.00011808807],"domain_scores_gemma":[0.9929389,0.0052578426,0.00073548063,0.0003645594,0.00043616386,0.0002670177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021822688,0.00042515728,0.0003071,0.0033350014,0.0027664446,0.003858429,0.00051460654,0.0013308667,0.008350371],"category_scores_gemma":[0.007602584,0.00015096446,0.00038994127,0.0041704425,0.0066565475,0.0081247855,0.0027211031,0.0011572758,0.00053427945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004327723,0.0000039921015,0.00033522138,0.000044514203,0.000003844761,0.000051025516,0.0006763123,0.0008756068,0.000028713572,0.9905518,0.0013144885,0.00611006],"study_design_scores_gemma":[0.000005340994,0.0000064327864,0.00038344637,0.0000800408,0.000006062173,0.00014022714,0.0014708053,0.0034504726,0.00006828575,0.93865085,0.0557314,0.000006764778],"about_ca_topic_score_codex":0.0034274226,"about_ca_topic_score_gemma":0.0029246456,"teacher_disagreement_score":0.008350371,"about_ca_system_score_codex":0.0025010568,"about_ca_system_score_gemma":0.00125758,"threshold_uncertainty_score":0.02793479},"labels":[],"label_agreement":null},{"id":"W1997856294","doi":"10.1109/bigdata.2014.7004497","title":"Language, cultural influences and intelligence in historical gazetteers of the Great War","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"TRACE (psycholinguistics); Computer science; Tracking (education); Work (physics); Cultural heritage; Semantic Web; Quality (philosophy); World Wide Web; Data science; Information retrieval; Front (military); History; Linguistics; Geography; Engineering; Archaeology; Sociology; Epistemology","score_opus":0.016892269241561186,"score_gpt":0.2571511368116831,"score_spread":0.24025886757012194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997856294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8958248,0.0037588368,0.010241894,0.005186799,0.00010369621,0.000033834174,0.00041621234,0.0001405522,0.08429341],"genre_scores_gemma":[0.99256706,0.0008051635,0.0021879778,0.00008586887,0.000029077375,0.0000125533425,0.00012479628,0.000076878016,0.0041106297],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99778736,0.0012608973,0.00011990929,0.00033054667,0.00033363744,0.00016765417],"domain_scores_gemma":[0.9886404,0.0068601514,0.0018741146,0.0010316457,0.0012809754,0.00031272203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059634824,0.00021658534,0.00020320946,0.008191256,0.0055088247,0.0063707107,0.0006527608,0.00079108326,0.0041224454],"category_scores_gemma":[0.02011885,0.00038480808,0.0002347333,0.0075310287,0.010820429,0.009090649,0.004046265,0.001015463,0.0003156845],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013959447,0.00002269119,0.040074304,0.00012051252,0.000037649606,0.0008484482,0.7736583,0.0008687499,0.0019472992,0.12568486,0.004620294,0.051977348],"study_design_scores_gemma":[0.000027505012,0.000051469895,0.16126141,0.00060300995,0.00008609908,0.0010710887,0.52676815,0.0031175988,0.0022033975,0.12733118,0.1772346,0.00024453376],"about_ca_topic_score_codex":0.11951612,"about_ca_topic_score_gemma":0.15698896,"teacher_disagreement_score":0.11951612,"about_ca_system_score_codex":0.0037198577,"about_ca_system_score_gemma":0.0017163705,"threshold_uncertainty_score":0.23764092},"labels":[],"label_agreement":null},{"id":"W1997898730","doi":"10.1016/s0140-6736(08)60671-6","title":"Rethinking (Product) RED","year":2008,"lang":"en","type":"article","venue":"The Lancet","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health; University of Ottawa; Trent University","funders":"","keywords":"Product (mathematics); Human immunodeficiency virus (HIV); General partnership; Malaria; Medicine; Political science; Family medicine; Law","score_opus":0.08287133366372812,"score_gpt":0.268025274442512,"score_spread":0.1851539407787839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997898730","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058088494,0.014795461,0.045768965,0.3078314,0.05272762,0.00011747231,0.0054012355,0.007460485,0.5600885],"genre_scores_gemma":[0.08299246,0.015437886,0.06671099,0.13395754,0.016591677,0.00020239393,0.0060622143,0.00656677,0.671478],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964743,0.0011878939,0.00016327757,0.00046876873,0.0014219953,0.00028360361],"domain_scores_gemma":[0.98578215,0.004760495,0.00038037496,0.0041280575,0.004042941,0.0009059391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008038152,0.0005580878,0.00042464852,0.0019071791,0.0014661778,0.006851989,0.0017308943,0.0033723162,0.090875655],"category_scores_gemma":[0.019456102,0.0004266971,0.0008636,0.001919348,0.0026514614,0.006633187,0.002968302,0.0042697894,0.031363178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008781684,0.000030999017,0.00035258487,0.00017894573,0.000020994796,0.00008911966,0.00029727767,0.00015343,0.00044474375,0.1294077,0.7329471,0.13598944],"study_design_scores_gemma":[0.0000181414,0.000009965706,0.00023196488,0.00007737551,0.000015702677,0.000090651214,0.00006973116,0.00016227289,0.0004267236,0.028950008,0.96993655,0.000010956194],"about_ca_topic_score_codex":0.010544985,"about_ca_topic_score_gemma":0.01229694,"teacher_disagreement_score":0.090875655,"about_ca_system_score_codex":0.0022606687,"about_ca_system_score_gemma":0.0040672994,"threshold_uncertainty_score":0.30400938},"labels":[],"label_agreement":null},{"id":"W1998961105","doi":"10.1109/bibe.2014.70","title":"An Ontology-Based Framework for Analysis Recommendation","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Public Health Agency of Canada","keywords":"Computer science; Ontology; Information retrieval; Set (abstract data type); Flexibility (engineering); Formal concept analysis; Ontology components; Semantics (computer science); Semantic analysis (machine learning); Data mining; Upper ontology; Data science; Semantic Web; Ontology alignment; Programming language; Algorithm","score_opus":0.038198842042264106,"score_gpt":0.3356506079452042,"score_spread":0.2974517659029401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998961105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006798363,0.0005553511,0.98872185,0.0011598008,0.000091416514,0.0002926196,0.00051269727,0.0010888076,0.006897586],"genre_scores_gemma":[0.021883208,0.0011277532,0.9695274,0.0003442423,0.00007927598,0.00048732833,0.0016450831,0.00017207707,0.004733596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9907679,0.0028761197,0.0012980623,0.0014011575,0.0032480631,0.00040864063],"domain_scores_gemma":[0.9955468,0.0010891007,0.00038608784,0.0012357334,0.0014054857,0.00033681735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010273692,0.0013401245,0.0016018205,0.008654809,0.0034121515,0.008885912,0.0046254704,0.0029500257,0.005009267],"category_scores_gemma":[0.010009062,0.0010666568,0.004458358,0.011492055,0.0023846454,0.010691685,0.0039449027,0.0037519492,0.0029535494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005850562,0.0001729272,0.0010062528,0.00037023588,0.00024368789,0.00042587338,0.00094033097,0.020171652,0.002142486,0.82974243,0.02027248,0.12445312],"study_design_scores_gemma":[0.000040005605,0.000042391126,0.0007058555,0.00034800242,0.00015920015,0.0004519875,0.00066529796,0.23464149,0.001867561,0.4676528,0.29329428,0.00013115471],"about_ca_topic_score_codex":0.0543757,"about_ca_topic_score_gemma":0.052923005,"teacher_disagreement_score":0.0543757,"about_ca_system_score_codex":0.005470395,"about_ca_system_score_gemma":0.007169713,"threshold_uncertainty_score":0.108118415},"labels":[],"label_agreement":null},{"id":"W1999234217","doi":"10.1109/pst.2010.5593235","title":"Method ontology for intelligent network forensics analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Network forensics; Computer science; Ontology; Computer forensics; Intrusion detection system; Domain knowledge; Knowledge base; Domain (mathematical analysis); Intelligent decision support system; Computer security; Software engineering; World Wide Web; Artificial intelligence; Digital forensics","score_opus":0.023882317035832573,"score_gpt":0.3234873895956674,"score_spread":0.2996050725598348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999234217","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016020217,0.00038208644,0.9819983,0.0012146882,0.00012879029,0.00036843918,0.00051672285,0.00086399564,0.012924961],"genre_scores_gemma":[0.02547957,0.00057608983,0.96729016,0.0002638641,0.000052170333,0.00060090167,0.0014262067,0.0002469496,0.00406415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938625,0.002087835,0.0009827205,0.0007360258,0.0020445709,0.0002862928],"domain_scores_gemma":[0.9960084,0.0015032572,0.00028071326,0.0010436807,0.0009898159,0.00017415195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005895438,0.0009569397,0.0007391361,0.0060550882,0.002413431,0.0056144646,0.0025862874,0.0019030718,0.0052797436],"category_scores_gemma":[0.0072687143,0.0007235407,0.0030387857,0.0039698933,0.0029463307,0.008754558,0.0033579296,0.0026679856,0.0013428446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027106556,0.00010242793,0.00077362463,0.00041505633,0.00007862302,0.00038179557,0.0013610452,0.0047909934,0.0020535104,0.8792558,0.011154201,0.09960588],"study_design_scores_gemma":[0.00004264771,0.000027137918,0.00047158045,0.00040257632,0.000098137025,0.00072684867,0.00084210053,0.055326585,0.004149259,0.5124984,0.42533943,0.000075304284],"about_ca_topic_score_codex":0.00882961,"about_ca_topic_score_gemma":0.008009758,"teacher_disagreement_score":0.00882961,"about_ca_system_score_codex":0.0038659887,"about_ca_system_score_gemma":0.0080012875,"threshold_uncertainty_score":0.031178415},"labels":[],"label_agreement":null},{"id":"W1999603696","doi":"10.1142/s0218194004001816","title":"FROM KNOWLEDGE MODELING TO ONTOLOGY CONSTRUCTION","year":2004,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Ontology; Computer science; Software engineering; Domain knowledge; XML; Process ontology; Domain (mathematical analysis); Knowledge-based systems; Ontology-based data integration; Structuring; Knowledge sharing; Upper ontology; Process (computing); Open Knowledge Base Connectivity; Knowledge management; World Wide Web; Programming language; Personal knowledge management","score_opus":0.01085274666121525,"score_gpt":0.2433625772805168,"score_spread":0.23250983061930156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999603696","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029405567,0.009519475,0.9541949,0.00945386,0.00036128922,0.000068422654,0.00013116338,0.0005715965,0.022758672],"genre_scores_gemma":[0.1731447,0.025874872,0.78652686,0.0021703334,0.0009801107,0.00038783747,0.0009534257,0.0004268186,0.009535061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995682,0.0021023105,0.00031906425,0.00049094664,0.0011673929,0.00023830513],"domain_scores_gemma":[0.9957052,0.0026089237,0.00023955687,0.000826336,0.00044501157,0.00017504321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005358859,0.0010409321,0.0011515701,0.0044217627,0.0019399889,0.0085074045,0.0028234639,0.0022442716,0.0031560697],"category_scores_gemma":[0.008568533,0.0009347324,0.0015536302,0.0043622204,0.010073967,0.017090026,0.006282021,0.0039545246,0.0011919746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007974982,0.000020571977,0.00016723503,0.00022832087,0.000026003703,0.00012165517,0.0009174444,0.004663015,0.0002319215,0.93296826,0.003298719,0.05734883],"study_design_scores_gemma":[0.0000050974313,0.0000070965602,0.00007659762,0.0001892538,0.000010343854,0.00010349337,0.00039879457,0.010770817,0.0004928698,0.9343502,0.053577054,0.000018398407],"about_ca_topic_score_codex":0.0056477487,"about_ca_topic_score_gemma":0.0029644957,"teacher_disagreement_score":0.0085074045,"about_ca_system_score_codex":0.0035544306,"about_ca_system_score_gemma":0.0037174802,"threshold_uncertainty_score":0.028340697},"labels":[],"label_agreement":null},{"id":"W2000402684","doi":"10.1145/2503649.2503654","title":"Ut pictura poesis","year":2013,"lang":"la","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Diagrammatic reasoning; Restructuring; Computer science; Graphics; Algebra over a field; Euler's formula; Programming language; Mathematics; Computer graphics (images); Pure mathematics","score_opus":0.012977636480162185,"score_gpt":0.20875156882265977,"score_spread":0.1957739323424976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000402684","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038203655,0.0041758455,0.006824256,0.0044479417,0.0039182487,0.000039066665,0.0003426863,0.0007520791,0.9756796],"genre_scores_gemma":[0.2757833,0.006583972,0.011129956,0.003817884,0.0032388368,0.00025217302,0.0006730054,0.0012606211,0.69726026],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993298,0.00030383383,0.000017471426,0.00013817736,0.00013612946,0.000074502284],"domain_scores_gemma":[0.9996984,0.00013036907,0.000026454349,0.000060032224,0.000056426794,0.000028440847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056929927,0.00090954977,0.0003807832,0.0014660549,0.0037895201,0.0055094594,0.00057623157,0.0013051498,0.053968668],"category_scores_gemma":[0.0019317772,0.00024515623,0.00043212512,0.0013764545,0.0060177515,0.0052275644,0.0019004073,0.0035016695,0.015304392],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004623434,0.000012994762,0.00010902578,0.00011870571,0.0000039432875,0.0002454346,0.0047705416,0.00008234062,0.00048077505,0.92196834,0.04528824,0.026873525],"study_design_scores_gemma":[0.000007537797,0.00001697503,0.00012894667,0.00007777982,0.0000035755006,0.00034756568,0.0006514064,0.000099750374,0.00029629818,0.029985715,0.9683772,0.0000071950867],"about_ca_topic_score_codex":0.001424758,"about_ca_topic_score_gemma":0.0019135571,"teacher_disagreement_score":0.053968668,"about_ca_system_score_codex":0.0023430923,"about_ca_system_score_gemma":0.0006087982,"threshold_uncertainty_score":0.18054318},"labels":[],"label_agreement":null},{"id":"W2000926689","doi":"10.3166/isi.12.5.109-132","title":"Un formalisme pour la gestion des connaissances. Approche ingénierie dirigée par les modèles","year":2007,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.04385982066863955,"score_gpt":0.25284424292903457,"score_spread":0.20898442226039501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000926689","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014563054,0.0028279894,0.9794317,0.0038827085,0.00049333216,0.00012000474,0.0002982055,0.00068651163,0.010803312],"genre_scores_gemma":[0.056151897,0.0052639497,0.9209505,0.0012750895,0.00055882544,0.00073383923,0.0011523868,0.00038602023,0.013527537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9892966,0.0044623734,0.0010581305,0.0014440067,0.0033317269,0.00040716678],"domain_scores_gemma":[0.9947901,0.0026742534,0.00028680498,0.0011491711,0.000857616,0.00024217616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010619645,0.0023683843,0.0017120155,0.0042288033,0.0034783562,0.0120295165,0.0036210248,0.0061262758,0.0067911674],"category_scores_gemma":[0.017848538,0.002230839,0.005205776,0.004915385,0.010438233,0.020365376,0.00681076,0.011838881,0.0029137433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020636018,0.000023616367,0.00015447757,0.00011541899,0.000031488715,0.00021538115,0.0008058255,0.0028989795,0.00062974036,0.97291136,0.0026818018,0.019511197],"study_design_scores_gemma":[0.00006103782,0.000029507632,0.00017537056,0.0003138454,0.000058872567,0.0005146662,0.0004224001,0.036353763,0.0012805143,0.77405,0.18667942,0.00006055318],"about_ca_topic_score_codex":0.017784404,"about_ca_topic_score_gemma":0.011498201,"teacher_disagreement_score":0.017784404,"about_ca_system_score_codex":0.0052773724,"about_ca_system_score_gemma":0.004788804,"threshold_uncertainty_score":0.056162715},"labels":[],"label_agreement":null},{"id":"W2001028140","doi":"10.1109/icsc.2012.24","title":"Semantic Schema Mapping Using Property Precedence Relations","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Schema (genetic algorithms); Exploit; Database schema; Information retrieval; Information schema; Conceptual schema; Theoretical computer science; Data mining; Semi-structured model; Database design","score_opus":0.0859176509400475,"score_gpt":0.28173885449049985,"score_spread":0.19582120355045235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001028140","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026751962,0.00015010979,0.9930693,0.00025900902,0.00004794444,0.00010011213,0.00017985192,0.0010266049,0.002491999],"genre_scores_gemma":[0.05842451,0.00046893678,0.93789154,0.00009225691,0.000039661645,0.00012413695,0.0008040558,0.00031304243,0.0018417452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967847,0.0011748716,0.0003282083,0.0007423085,0.0008451097,0.00012483262],"domain_scores_gemma":[0.99501437,0.0025587596,0.000321999,0.0013651255,0.00059567264,0.00014398227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051445533,0.0009464979,0.0007284863,0.004103782,0.0014491708,0.0035302322,0.0016280566,0.0010509288,0.00719623],"category_scores_gemma":[0.016146107,0.00074429525,0.0021328381,0.0043097273,0.001577079,0.009407193,0.003019568,0.0019309142,0.0015054045],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007906548,0.00011712176,0.0013944281,0.00030926883,0.00008771036,0.0004156394,0.0009559806,0.02693184,0.004194562,0.59344923,0.007846434,0.3642187],"study_design_scores_gemma":[0.00004473325,0.000043517433,0.00044197362,0.0001357465,0.00008347283,0.0006387526,0.00028895857,0.24055353,0.010757703,0.68526953,0.061688397,0.00005369618],"about_ca_topic_score_codex":0.0032173113,"about_ca_topic_score_gemma":0.0032222376,"teacher_disagreement_score":0.00719623,"about_ca_system_score_codex":0.0011120102,"about_ca_system_score_gemma":0.002211763,"threshold_uncertainty_score":0.027207315},"labels":[],"label_agreement":null},{"id":"W2001928214","doi":"10.1145/1557626.1557628","title":"CINDI","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Header; Search engine indexing; Process (computing); Generator (circuit theory); Upload; World Wide Web; Information retrieval; Programming language","score_opus":0.011642662655532465,"score_gpt":0.2372302155665727,"score_spread":0.22558755291104024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001928214","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020643438,0.0040721563,0.04726594,0.0068267817,0.011093317,0.00077180273,0.06158456,0.062087376,0.8042336],"genre_scores_gemma":[0.018781174,0.004438691,0.04668759,0.006375533,0.002501503,0.0007231701,0.16202208,0.019713785,0.7387565],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99643075,0.0005631404,0.0003415052,0.00064635143,0.0016372744,0.0003809639],"domain_scores_gemma":[0.992128,0.0010566753,0.00031787687,0.0024123576,0.0031736086,0.0009115036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028327142,0.0012708524,0.00089292275,0.006213317,0.002377446,0.00984306,0.0038384865,0.002438943,0.4276112],"category_scores_gemma":[0.01304656,0.0007001771,0.0008688043,0.006579376,0.0006764644,0.0063991384,0.0060716174,0.002141275,0.3810095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015530182,0.000037858666,0.0005205269,0.0005300516,0.000014614968,0.00018414743,0.00018649855,0.00018900869,0.0012408426,0.020870749,0.79717267,0.1788978],"study_design_scores_gemma":[0.000006803169,0.0000053144418,0.00011103952,0.00003869299,0.0000041662997,0.00008615268,0.000024255283,0.00016059454,0.00038128038,0.0013860074,0.997787,0.000008562236],"about_ca_topic_score_codex":0.004078074,"about_ca_topic_score_gemma":0.005064937,"teacher_disagreement_score":0.4276112,"about_ca_system_score_codex":0.0022658955,"about_ca_system_score_gemma":0.0038843288,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2002032480","doi":"10.1109/wi.2004.111","title":"ONTOXPL - Intelligent Exploration of OWL Ontologies","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Semantic reasoner; Computer science; OWL-S; Ontology; Web Ontology Language; Description logic; World Wide Web; Semantic Web; Information retrieval; Ontology language; Process ontology; Ontology Inference Layer; Complement (music); Semantic Web Stack; Artificial intelligence","score_opus":0.07218751940172909,"score_gpt":0.2879070254471899,"score_spread":0.2157195060454608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002032480","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007623994,0.00021665568,0.8255368,0.00052042387,0.000087283894,0.00045425328,0.0052574286,0.14217179,0.018131366],"genre_scores_gemma":[0.07704644,0.0009201879,0.83920586,0.00087298005,0.000082620914,0.0009053737,0.033527397,0.016221156,0.031217959],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988839,0.00021225408,0.00009715328,0.00017609104,0.0005577434,0.00007288681],"domain_scores_gemma":[0.99915516,0.00039141017,0.000054874523,0.0002198557,0.00010470135,0.00007392319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017619603,0.0009228662,0.0006072683,0.0014515802,0.0006592567,0.0027929607,0.0016489712,0.0007497271,0.01569259],"category_scores_gemma":[0.0038030995,0.0009825437,0.0012673258,0.00093021017,0.0007046541,0.00540608,0.0049507804,0.0020278224,0.006278346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006722643,0.0003727642,0.0022121142,0.0012097989,0.00019998942,0.0023978383,0.0017417466,0.008993215,0.038827613,0.10857032,0.23323777,0.6015646],"study_design_scores_gemma":[0.00033204345,0.00010635645,0.0023037593,0.00028297474,0.00008252039,0.0016234637,0.0005705281,0.20386504,0.051001586,0.14047149,0.59920245,0.00015781129],"about_ca_topic_score_codex":0.0021094168,"about_ca_topic_score_gemma":0.0027255204,"teacher_disagreement_score":0.01569259,"about_ca_system_score_codex":0.00058747415,"about_ca_system_score_gemma":0.0010272783,"threshold_uncertainty_score":0.05249697},"labels":[],"label_agreement":null},{"id":"W2002038683","doi":"10.1111/j.1467-8640.2007.00306.x","title":"INTRODUCTION TO THE SPECIAL ISSUE ON CANADIAN SEMANTIC WEB","year":2007,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Citation; Computer science; World Wide Web; Library science","score_opus":0.022854170038005845,"score_gpt":0.28285357516410164,"score_spread":0.2599994051260958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002038683","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00084158283,0.05600054,0.008528336,0.11378393,0.4158003,0.00024996788,0.004799193,0.00089083624,0.39910525],"genre_scores_gemma":[0.010364855,0.07095749,0.0065829605,0.02601245,0.095990196,0.0001601763,0.00549493,0.0013735569,0.7830634],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980241,0.00016022344,0.000115148905,0.00022364238,0.0012050959,0.00027179834],"domain_scores_gemma":[0.99322104,0.00074274425,0.00013929611,0.00036704674,0.004397841,0.0011319764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024810007,0.0013314601,0.0012703914,0.00929425,0.005763828,0.008671755,0.0020109746,0.0032498767,0.1248297],"category_scores_gemma":[0.007464935,0.0005636984,0.00098836,0.01064611,0.0022256062,0.006853855,0.0028815742,0.0043245484,0.02782723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067484834,0.0000057929583,0.00006148184,0.00006541469,0.0000027319747,0.00004065155,0.000038941314,0.00005628058,0.00006287726,0.010097614,0.9740258,0.0155357],"study_design_scores_gemma":[0.0000010803686,9.98128e-7,0.000102264814,0.000042691507,0.0000022844981,0.000030185085,0.000037540267,0.00004025789,0.000026980022,0.0016303988,0.9980798,0.0000054460015],"about_ca_topic_score_codex":0.42074057,"about_ca_topic_score_gemma":0.6289379,"teacher_disagreement_score":0.9856738,"about_ca_system_score_codex":0.014326232,"about_ca_system_score_gemma":0.024324628,"threshold_uncertainty_score":0.8365832},"labels":[],"label_agreement":null},{"id":"W2002140550","doi":"10.1109/incos.2014.122","title":"Modelling of Experienced-Based Data in Linked Data Environment","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; RDF; Construct (python library); Semantics (computer science); Semantic Web; Set (abstract data type); Linked data; Process (computing); Information retrieval; Data modeling; Data mining; Hierarchy; Database; Programming language","score_opus":0.1600122632845302,"score_gpt":0.2877770638355324,"score_spread":0.12776480055100223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002140550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007627413,0.00026208535,0.98041254,0.00064517953,0.00008026112,0.0002366105,0.0011774596,0.0006835624,0.008874821],"genre_scores_gemma":[0.19784711,0.0013614406,0.7863707,0.00026032733,0.00010275129,0.00084572873,0.004818546,0.0003098642,0.008083515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969799,0.0010220001,0.0003503503,0.00048768913,0.0009754412,0.00018465756],"domain_scores_gemma":[0.9977678,0.0010222631,0.00021657105,0.00044988721,0.0004211999,0.00012226222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003336601,0.0006123048,0.0007596238,0.0032524557,0.0015826299,0.0075244023,0.0026734588,0.0020086027,0.0023638331],"category_scores_gemma":[0.0056902627,0.00053260964,0.0024787383,0.004407296,0.0018727998,0.006502594,0.0037282899,0.0018190537,0.0008444352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049118884,0.00007058766,0.0015228996,0.00022475391,0.00008099339,0.0012474026,0.0014350056,0.1490623,0.0013520878,0.8229508,0.0020094223,0.019994622],"study_design_scores_gemma":[0.00004222129,0.000045823872,0.00053944363,0.00019528178,0.000088676235,0.00039880516,0.00048259404,0.5970044,0.0032850886,0.30096254,0.09689438,0.000060789847],"about_ca_topic_score_codex":0.011240194,"about_ca_topic_score_gemma":0.008815187,"teacher_disagreement_score":0.011240194,"about_ca_system_score_codex":0.0020352209,"about_ca_system_score_gemma":0.002713079,"threshold_uncertainty_score":0.022349536},"labels":[],"label_agreement":null},{"id":"W2002417469","doi":"10.1007/s10278-008-9111-6","title":"INDIAM—An e-Learning System for the Interpretation of Mammograms","year":2008,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Mammography; Breast cancer; Multimedia; Information retrieval; Artificial intelligence; Breast imaging; Medical physics; Medicine; Cancer","score_opus":0.017845854476579305,"score_gpt":0.25185418750551913,"score_spread":0.23400833302893984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002417469","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04240157,0.0013581932,0.29560587,0.00062188855,0.0001395219,0.00056644116,0.0115614785,0.63357365,0.01417146],"genre_scores_gemma":[0.31646782,0.0015703391,0.60057604,0.0020103906,0.00020468116,0.00060563645,0.03948671,0.013605417,0.025472986],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995197,0.00006685188,0.000058057987,0.0001577644,0.00015881703,0.000038874714],"domain_scores_gemma":[0.9986879,0.00046986382,0.000117536554,0.00038059187,0.00023018906,0.000113824004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008731043,0.0009246719,0.0009294562,0.0033858102,0.00040673904,0.0017751093,0.002505878,0.0011674738,0.013412724],"category_scores_gemma":[0.0031853304,0.00057690585,0.00073527434,0.0017092387,0.0003360267,0.0018507764,0.0020277924,0.0009828311,0.008135495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017137154,0.0007898476,0.0132119125,0.0010697788,0.00046254697,0.0018060412,0.00044877405,0.004689662,0.05076133,0.0038135408,0.11529885,0.80593395],"study_design_scores_gemma":[0.000733457,0.0007435869,0.04279774,0.0005931587,0.001104669,0.009926683,0.00057300297,0.40202594,0.21818669,0.012811999,0.30981877,0.0006843495],"about_ca_topic_score_codex":0.002065191,"about_ca_topic_score_gemma":0.0026737216,"teacher_disagreement_score":0.013412724,"about_ca_system_score_codex":0.0007172392,"about_ca_system_score_gemma":0.0011031659,"threshold_uncertainty_score":0.04487002},"labels":[],"label_agreement":null},{"id":"W2002792344","doi":"10.1145/503124.503148","title":"Predicting how ontologies for the semantic web will evolve","year":2002,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Semantic Web; Social Semantic Web; Semantic analytics; Semantic Web Stack; World Wide Web; Software engineering","score_opus":0.09624764549035814,"score_gpt":0.28706536459127263,"score_spread":0.1908177191009145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002792344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6706945,0.0055717756,0.16381797,0.08625494,0.0006865679,0.00056986103,0.0021999874,0.0006883043,0.06951614],"genre_scores_gemma":[0.93560416,0.0028478226,0.05588146,0.0015616422,0.00013756829,0.00014327122,0.0013114627,0.00012679974,0.0023858172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972222,0.0014726409,0.00016379687,0.00029653613,0.0005447728,0.0003000548],"domain_scores_gemma":[0.9793122,0.011889692,0.0017979876,0.0014270378,0.0041120504,0.0014610232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0081769,0.0003290504,0.00023662647,0.0018954905,0.0016659239,0.0050088055,0.0007564898,0.0023516652,0.002932349],"category_scores_gemma":[0.036655117,0.00040763276,0.00043700082,0.0018192278,0.0025003084,0.02068644,0.0014756647,0.0035147853,0.00080239965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037250703,0.0005608052,0.11530603,0.0004349532,0.00015493766,0.00044386386,0.0043758336,0.084581204,0.003753746,0.56141853,0.041233458,0.18736413],"study_design_scores_gemma":[0.000046053417,0.00007806214,0.035221573,0.00031483927,0.000055608107,0.00024934212,0.005601093,0.22601856,0.002842504,0.67236567,0.057070915,0.00013576666],"about_ca_topic_score_codex":0.014016643,"about_ca_topic_score_gemma":0.02226936,"teacher_disagreement_score":0.014016643,"about_ca_system_score_codex":0.00406592,"about_ca_system_score_gemma":0.0028435343,"threshold_uncertainty_score":0.043244123},"labels":[],"label_agreement":null},{"id":"W2002897828","doi":"10.1016/s0950-7051(00)00089-7","title":"Knowledge capitalisation through case bases and knowledge engineering for road safety analysis","year":2000,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Bombardier Recreational Products (Canada); Defence Research and Development Canada","funders":"","keywords":"Exploit; Computer science; Domain knowledge; Knowledge management; Domain (mathematical analysis); Knowledge engineering; Task (project management); Architecture; Work (physics); Knowledge-based systems; Software engineering; Systems engineering; Engineering","score_opus":0.028165668800303793,"score_gpt":0.2745406800174214,"score_spread":0.24637501121711758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002897828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09317505,0.0023670224,0.8555037,0.003236038,0.00012319954,0.0006724597,0.0009088312,0.0012119766,0.04280167],"genre_scores_gemma":[0.6022164,0.0018401959,0.38996816,0.0001775815,0.000056718734,0.00027878152,0.0013904842,0.000121226694,0.003950454],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9943975,0.0021983027,0.00053950644,0.00061143184,0.0019239768,0.00032936464],"domain_scores_gemma":[0.97558266,0.018272439,0.00095953874,0.0035451325,0.0014086884,0.00023146374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067805876,0.00071612146,0.0008487041,0.007930093,0.0014351078,0.006061135,0.002997679,0.0018217206,0.0057319966],"category_scores_gemma":[0.03950978,0.0009659841,0.0012349784,0.0059019052,0.0029428268,0.014710114,0.0032134433,0.0020233574,0.00071563094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031477425,0.00088447734,0.0048666443,0.0008074999,0.00028785734,0.0014104069,0.002134926,0.10900852,0.002685948,0.31055784,0.006198373,0.5608428],"study_design_scores_gemma":[0.00008847091,0.00007491376,0.0026643425,0.00063200266,0.00031440906,0.0006826749,0.0010411252,0.3903975,0.010121348,0.56385154,0.030015046,0.000116588744],"about_ca_topic_score_codex":0.011640249,"about_ca_topic_score_gemma":0.014288474,"teacher_disagreement_score":0.011640249,"about_ca_system_score_codex":0.0029909627,"about_ca_system_score_gemma":0.0025559538,"threshold_uncertainty_score":0.035859644},"labels":[],"label_agreement":null},{"id":"W2002978037","doi":"10.7152/acro.v24i1.14670","title":"Level-Wise Exploration of Linked and Big Data Guided by Controlled Vocabularies and Folksonomies","year":2014,"lang":"en","type":"article","venue":"Advances in Classification Research Online","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Metadata; Cataloging; Leverage (statistics); Big data; Information retrieval; Controlled vocabulary; World Wide Web; Data science; Data mining; Artificial intelligence","score_opus":0.40012401412214327,"score_gpt":0.44864519681273074,"score_spread":0.04852118269058747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002978037","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038405843,0.0007704635,0.95092386,0.0010529691,0.000029182982,0.00026592563,0.0016136483,0.0015264585,0.005411608],"genre_scores_gemma":[0.15868627,0.00059940043,0.83429945,0.00020287099,0.000018692088,0.0002458124,0.0037096946,0.00036400786,0.0018738153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968183,0.001198081,0.00027168545,0.0005388188,0.0009998672,0.00017334388],"domain_scores_gemma":[0.9927141,0.0036269345,0.000537484,0.0018115649,0.0010023694,0.00030749632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029731959,0.0008284209,0.0011000816,0.005530211,0.0018042602,0.0065351804,0.0017362928,0.0009070608,0.00273218],"category_scores_gemma":[0.014647026,0.0008278653,0.00230719,0.0050207474,0.0019973684,0.010477417,0.007480758,0.0017552786,0.00065227266],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054388517,0.0004976189,0.028054757,0.0022216274,0.0004813912,0.0013544526,0.016584871,0.07600984,0.029896434,0.36706406,0.013215947,0.46407512],"study_design_scores_gemma":[0.000053340013,0.00017305948,0.0047128373,0.00046935253,0.00021162115,0.0006332438,0.0074631227,0.40194198,0.014020627,0.5026679,0.06752387,0.00012908266],"about_ca_topic_score_codex":0.0067376075,"about_ca_topic_score_gemma":0.017302746,"teacher_disagreement_score":0.0067376075,"about_ca_system_score_codex":0.0014110961,"about_ca_system_score_gemma":0.0026919034,"threshold_uncertainty_score":0.015723944},"labels":[],"label_agreement":null},{"id":"W2003301733","doi":"10.1109/ipdpsw.2014.81","title":"A Parallel Framework for Handling Non-determinism with Expressive Description Logics","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Computer science; Laptop; Cardinality (data modeling); Semantic reasoner; Theoretical computer science; Description logic; Determinism; Programming language; Ontology; Multi-core processor; Distributed computing; Parallel computing; Artificial intelligence; Database; Operating system","score_opus":0.03232209814145796,"score_gpt":0.2620982142177016,"score_spread":0.22977611607624362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003301733","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002259669,0.00006449537,0.9953949,0.00012379311,0.000020566573,0.000086268614,0.00007357837,0.0010307406,0.00094603485],"genre_scores_gemma":[0.05802991,0.00018469748,0.93889993,0.0001107878,0.000043725355,0.00017386071,0.00033355763,0.00029393003,0.0019296589],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99710757,0.0007183049,0.00032003308,0.00049636024,0.0011250682,0.00023276842],"domain_scores_gemma":[0.99726534,0.0011035583,0.00017136539,0.00091850647,0.0003943053,0.00014701141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048716343,0.00068519515,0.00068269606,0.00096516625,0.0016130366,0.0029081036,0.0025544746,0.00075056707,0.003956046],"category_scores_gemma":[0.0050144936,0.00082329905,0.002661662,0.0010185349,0.002184652,0.005347594,0.0037521592,0.0027023389,0.0008173162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002917212,0.00030698947,0.0015174763,0.0005879354,0.00019306259,0.00048180044,0.000946708,0.07850657,0.013573436,0.7393013,0.0052495976,0.1590434],"study_design_scores_gemma":[0.00017886607,0.000091693335,0.0002227189,0.000090755675,0.0001634894,0.00037326931,0.00015176352,0.44761387,0.016477415,0.46655673,0.06800825,0.00007114044],"about_ca_topic_score_codex":0.0062738755,"about_ca_topic_score_gemma":0.008344691,"teacher_disagreement_score":0.0062738755,"about_ca_system_score_codex":0.0017141805,"about_ca_system_score_gemma":0.003503432,"threshold_uncertainty_score":0.025763988},"labels":[],"label_agreement":null},{"id":"W2004905196","doi":"10.1109/cscwd.2008.4536991","title":"A new tree similarity measuring method and its application to ontology comparison","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ontology; Computer science; Similarity (geometry); Tree (set theory); Context (archaeology); Ontology-based data integration; Data mining; Domain (mathematical analysis); Information retrieval; Ontology alignment; Upper ontology; Matrix similarity; Semantic similarity; Transformation (genetics); Artificial intelligence; Mathematics; Semantic Web; Image (mathematics)","score_opus":0.08871082308382171,"score_gpt":0.3266083793533031,"score_spread":0.2378975562694814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004905196","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036025627,0.00020900428,0.99462366,0.00008941291,0.00007026043,0.00006573401,0.00005424093,0.00026059843,0.0010246149],"genre_scores_gemma":[0.07779946,0.00029031132,0.9202065,0.00006060029,0.00011479642,0.0002162552,0.00018049388,0.00018296648,0.00094871985],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9928163,0.0016060094,0.0005854631,0.0009135202,0.003913376,0.00016534356],"domain_scores_gemma":[0.9895517,0.0045839623,0.0011539697,0.001239356,0.0031069159,0.00036411744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034972245,0.0007600406,0.0012654817,0.0067553255,0.0011541233,0.0026767727,0.0021429248,0.0012856838,0.003229499],"category_scores_gemma":[0.019451827,0.00040830555,0.0011783459,0.0070866686,0.0015355174,0.007457537,0.0026080888,0.0018201233,0.00074148364],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018997194,0.0002018624,0.0033371607,0.00047784593,0.00015367812,0.00024295266,0.0007316821,0.028523874,0.02071608,0.23035613,0.005898443,0.7091704],"study_design_scores_gemma":[0.00006741772,0.00038749757,0.0049689882,0.00016745747,0.00018003487,0.002094843,0.0004530956,0.71087426,0.02423592,0.21034744,0.04594046,0.0002825372],"about_ca_topic_score_codex":0.002026437,"about_ca_topic_score_gemma":0.0016744495,"teacher_disagreement_score":0.0067553255,"about_ca_system_score_codex":0.0017502668,"about_ca_system_score_gemma":0.0013976757,"threshold_uncertainty_score":0.018495321},"labels":[],"label_agreement":null},{"id":"W2005449717","doi":"10.7202/002537ar","title":"Cinq notions de télédétection aérospatiale : un exemple de structuration d’un champ terminologique","year":2002,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.064087547624585,"score_gpt":0.262534100411471,"score_spread":0.198446552786886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005449717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034726705,0.0018769522,0.82772124,0.0039950926,0.00057875743,0.00017789687,0.00046700615,0.0008582995,0.129598],"genre_scores_gemma":[0.4556631,0.0020748656,0.4562357,0.0012286619,0.00039906468,0.0007941687,0.0011819431,0.0008027909,0.0816196],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968713,0.00080066896,0.00024972728,0.0006970059,0.0010682318,0.00031315978],"domain_scores_gemma":[0.99652255,0.0014273346,0.00036964542,0.0005022362,0.001009246,0.00016895912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030445927,0.0006790675,0.0005102927,0.0029488208,0.0032486366,0.006046679,0.0014415139,0.003409556,0.00784944],"category_scores_gemma":[0.004155549,0.0004951502,0.0010206476,0.0025986887,0.008851136,0.01129982,0.0026908927,0.0035730968,0.0015459536],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001644026,0.000008143939,0.00041223015,0.000054896493,0.000004851943,0.00009280067,0.002135802,0.0006536726,0.0015181893,0.98490256,0.0012749712,0.008925621],"study_design_scores_gemma":[0.000024292962,0.00006511769,0.0014953677,0.0002871363,0.000029085712,0.0009850028,0.004236168,0.009595517,0.007104748,0.56028324,0.41579524,0.00009898374],"about_ca_topic_score_codex":0.008104832,"about_ca_topic_score_gemma":0.0065871906,"teacher_disagreement_score":0.008104832,"about_ca_system_score_codex":0.0043978803,"about_ca_system_score_gemma":0.0027357019,"threshold_uncertainty_score":0.03190905},"labels":[],"label_agreement":null},{"id":"W2005603639","doi":"10.1016/j.cogsys.2014.09.001","title":"The role of analogy in ontology alignment: A study on LISA","year":2014,"lang":"en","type":"article","venue":"Cognitive Systems Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Ontology; Computer science; Ontology alignment; Heuristics; Analogy; Process ontology; Context (archaeology); Ontology-based data integration; Interoperability; Upper ontology; Semantic Web; Process (computing); Information retrieval; Artificial intelligence; World Wide Web; Epistemology","score_opus":0.0776602751204351,"score_gpt":0.38603649335220147,"score_spread":0.30837621823176636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005603639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7888552,0.00086343364,0.07925138,0.0017016006,0.00004871986,0.00016130532,0.000103513215,0.00022741537,0.12878747],"genre_scores_gemma":[0.9861373,0.0001764626,0.011309348,0.00008185786,0.000007292788,0.000052930194,0.00007445116,0.000080121165,0.0020802927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925012,0.005660305,0.0002793998,0.00055763585,0.0007523893,0.00024917562],"domain_scores_gemma":[0.9538809,0.03718925,0.0023153266,0.0037928175,0.0023255835,0.00049611926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064522517,0.00033338746,0.00061333505,0.0024300122,0.005586043,0.005048814,0.0015038111,0.0011793914,0.006188138],"category_scores_gemma":[0.055917814,0.00047613904,0.00046065726,0.0054387953,0.0054325648,0.01745738,0.0036608253,0.0021690908,0.00070078456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046574188,0.0006261924,0.042583063,0.0004880949,0.00006434054,0.0012873042,0.15539916,0.0035890806,0.0022906784,0.66316056,0.0019058819,0.12813984],"study_design_scores_gemma":[0.00013380992,0.0003600012,0.029134331,0.00048280967,0.00020520505,0.0025847366,0.16798563,0.08027387,0.0076867924,0.6588395,0.052177433,0.00013585169],"about_ca_topic_score_codex":0.005506443,"about_ca_topic_score_gemma":0.0049447846,"teacher_disagreement_score":0.0064522517,"about_ca_system_score_codex":0.0023363016,"about_ca_system_score_gemma":0.0033343977,"threshold_uncertainty_score":0.034123182},"labels":[],"label_agreement":null},{"id":"W2005914959","doi":"10.1300/j104v37n01_12","title":"Designing a Common Namespace for Searching Metadata-Enabled Knowledge Repositories: An International Perspective","year":2003,"lang":"en","type":"article","venue":"Cataloging & Classification Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Namespace; Computer science; World Wide Web; Intranet; Geospatial metadata; Meta Data Services; Context (archaeology); Metadata repository; The Internet; Terminology; Information retrieval; Identification (biology); Database; Geography","score_opus":0.06026646337126372,"score_gpt":0.3449506585431447,"score_spread":0.284684195171881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005914959","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26164705,0.002606868,0.48594245,0.032569814,0.00040566144,0.0008898351,0.00024363991,0.0012508414,0.21444389],"genre_scores_gemma":[0.6996041,0.0013281147,0.28931272,0.0009700408,0.000074742115,0.0005555165,0.00041377943,0.00024452043,0.0074964524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9807819,0.013024157,0.0020229423,0.0010637906,0.0022261345,0.000881051],"domain_scores_gemma":[0.97648245,0.008765891,0.0023310394,0.0048044915,0.0060931453,0.001522993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03922215,0.0005303685,0.00067424704,0.0059693647,0.005516301,0.01661575,0.001998983,0.0023699268,0.004445243],"category_scores_gemma":[0.028147554,0.0005643473,0.0006160878,0.0072896224,0.009893536,0.040333007,0.008727752,0.0021698477,0.0012708543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001749177,0.0003039753,0.016341327,0.00046286697,0.000038650564,0.000498277,0.04813433,0.0015700838,0.005977452,0.76988214,0.0066302563,0.14998575],"study_design_scores_gemma":[0.00015091035,0.0004935143,0.008867055,0.0019381355,0.00020241302,0.0022609052,0.3244258,0.016424818,0.018949185,0.25671995,0.36935174,0.0002155882],"about_ca_topic_score_codex":0.0051399744,"about_ca_topic_score_gemma":0.0045335633,"teacher_disagreement_score":0.03922215,"about_ca_system_score_codex":0.003846459,"about_ca_system_score_gemma":0.009029529,"threshold_uncertainty_score":0.20742905},"labels":[],"label_agreement":null},{"id":"W2006006946","doi":"10.1109/skg.2012.24","title":"Context Search Based on Inconsistent Ontology Reasoning","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Institute for Cancer Research","keywords":"Ontology; Computer science; Information retrieval; Ontology-based data integration; Ontology alignment; Upper ontology; Context (archaeology); Process ontology; Context model; Matching (statistics); Suggested Upper Merged Ontology; Semantic search; Semantic Web; Artificial intelligence; Mathematics; Object (grammar)","score_opus":0.042355528692472,"score_gpt":0.2829542282740584,"score_spread":0.24059869958158642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006006946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038173836,0.0005685203,0.95599616,0.0003655452,0.000036760743,0.00020232412,0.00015178601,0.0011534917,0.003351547],"genre_scores_gemma":[0.5664137,0.00047633733,0.43016428,0.00021965633,0.00005248806,0.00020060204,0.00048771754,0.00009749654,0.0018877023],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99494606,0.001321284,0.0004303997,0.0008090438,0.0021834988,0.00030966426],"domain_scores_gemma":[0.9965049,0.0014426577,0.0003118944,0.0007822532,0.0008352046,0.00012306598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025041883,0.0008467033,0.0015387271,0.0033589064,0.001682599,0.0021359487,0.0019430298,0.0014097912,0.0014173101],"category_scores_gemma":[0.010756224,0.00057317014,0.0016787547,0.0035462037,0.0011043719,0.007139874,0.0023034404,0.0011659063,0.00032865602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007681539,0.0005980755,0.013102259,0.0008979606,0.0004968245,0.0015139313,0.003332433,0.15925463,0.019449009,0.24649046,0.009257912,0.5448384],"study_design_scores_gemma":[0.00006461926,0.00009327215,0.001271262,0.00004799083,0.00019049669,0.00066546275,0.00033611103,0.9106905,0.007846873,0.0703076,0.008413469,0.00007234378],"about_ca_topic_score_codex":0.015996674,"about_ca_topic_score_gemma":0.010723193,"teacher_disagreement_score":0.015996674,"about_ca_system_score_codex":0.0018010563,"about_ca_system_score_gemma":0.0022074087,"threshold_uncertainty_score":0.031807125},"labels":[],"label_agreement":null},{"id":"W2006325797","doi":"10.1142/s1793351x11001195","title":"UPDATE TRANSLATION IN INSTANCE MAPPED HETEROGENEOUS PEER DATABASES","year":2011,"lang":"en","type":"article","venue":"International Journal of Semantic Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Tuple; Schema (genetic algorithms); Data sharing; Data exchange; Peer-to-peer; Theoretical computer science; Information retrieval; Database; Distributed computing","score_opus":0.07388270617448982,"score_gpt":0.3018120149484843,"score_spread":0.22792930877399448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006325797","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035899352,0.0009737646,0.9568945,0.0004982442,0.00008742218,0.0002588424,0.00022770463,0.0013571655,0.003803001],"genre_scores_gemma":[0.52295786,0.0013751959,0.46802917,0.00051360467,0.00017318106,0.0004757107,0.0012426911,0.0003504735,0.004882109],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98667765,0.0035475432,0.0015575532,0.002038615,0.005568208,0.0006104598],"domain_scores_gemma":[0.9884821,0.0051191957,0.0010305274,0.003287857,0.0018801971,0.00020019175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007313412,0.00055860425,0.0013052095,0.0015948336,0.001185356,0.0045877188,0.002898604,0.001974118,0.0017295857],"category_scores_gemma":[0.030257106,0.0010240908,0.0013145173,0.0033279986,0.0024504086,0.010592105,0.0049883984,0.001941951,0.0006297985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000509273,0.0002670687,0.004395799,0.00078566564,0.00023072977,0.0037637735,0.004520452,0.12312269,0.011018971,0.6191656,0.004465834,0.22775412],"study_design_scores_gemma":[0.00015764845,0.00018225108,0.00094781996,0.000120710145,0.00021410703,0.0018651087,0.001313883,0.4618885,0.028976288,0.47585317,0.028363055,0.00011753802],"about_ca_topic_score_codex":0.0028770606,"about_ca_topic_score_gemma":0.0012176996,"teacher_disagreement_score":0.007313412,"about_ca_system_score_codex":0.0013856146,"about_ca_system_score_gemma":0.0016965865,"threshold_uncertainty_score":0.038677514},"labels":[],"label_agreement":null},{"id":"W2006341631","doi":"10.4018/jdm.2008100105","title":"Ontology for Data Mining and its Application to Mining Incomplete Data","year":2008,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ontology; Computer science; Data mining; Knowledge extraction; Ontology-based data integration; Process ontology; Upper ontology; Domain (mathematical analysis); Data science; Domain knowledge; Information retrieval; Knowledge management","score_opus":0.16428597593006053,"score_gpt":0.3422706804343884,"score_spread":0.17798470450432788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006341631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009192966,0.0027229625,0.9895,0.0019045089,0.00016943681,0.00016853095,0.00024064287,0.00040695778,0.0039676605],"genre_scores_gemma":[0.020898186,0.004627782,0.9716887,0.0003971393,0.00025100942,0.0004829971,0.000608629,0.000108960616,0.00093655137],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98560196,0.006396089,0.0022755938,0.0012428515,0.004201879,0.0002815897],"domain_scores_gemma":[0.98358953,0.011277903,0.00093872787,0.002296966,0.0015569592,0.00033990463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016813701,0.0011647668,0.0021851156,0.009527826,0.0027874822,0.0068309424,0.0028351815,0.0026784816,0.0025933366],"category_scores_gemma":[0.027772337,0.0011194326,0.0040216055,0.014547345,0.006645591,0.0117131565,0.0055888197,0.0048075914,0.0010375486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003180339,0.00006641127,0.0008655903,0.0009909656,0.0002067761,0.00051388465,0.0015063602,0.009354806,0.0008954046,0.81942725,0.007062768,0.15907787],"study_design_scores_gemma":[0.000021393043,0.000026955486,0.00046150511,0.0005858939,0.00008191505,0.0006210295,0.00051491393,0.065219894,0.0013960805,0.81463695,0.11635083,0.000082644336],"about_ca_topic_score_codex":0.004625624,"about_ca_topic_score_gemma":0.0039791525,"teacher_disagreement_score":0.016813701,"about_ca_system_score_codex":0.0028165234,"about_ca_system_score_gemma":0.00461474,"threshold_uncertainty_score":0.088920355},"labels":[],"label_agreement":null},{"id":"W2006840358","doi":"10.1145/1507195.1507219","title":"Towards using architectural knowledge","year":2009,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reuse; Computer science; Software engineering; Engineering","score_opus":0.029965160706203843,"score_gpt":0.27297330276131887,"score_spread":0.24300814205511503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006840358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02847889,0.010145492,0.76469195,0.060831666,0.0008815574,0.00015698046,0.00023728082,0.0019039105,0.1326723],"genre_scores_gemma":[0.2962706,0.011844336,0.656259,0.0049980683,0.00037190787,0.00030798212,0.0010431344,0.0010091289,0.027895883],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9795694,0.013608288,0.00097253907,0.0017035116,0.003429461,0.0007168698],"domain_scores_gemma":[0.97748315,0.0077767586,0.00069877645,0.010337371,0.002793551,0.000910347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027526537,0.0010020402,0.0010120388,0.004268356,0.003537461,0.017869178,0.002967763,0.0039780354,0.005384486],"category_scores_gemma":[0.022731036,0.0012921306,0.0015282815,0.0043169213,0.014167977,0.044118907,0.019004624,0.0074263164,0.0022795028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034046156,0.00007414992,0.0012218588,0.0003407349,0.000048847487,0.00017075124,0.020881692,0.0017674767,0.0014096776,0.78079814,0.010406501,0.18284608],"study_design_scores_gemma":[0.00001387475,0.000033100707,0.000398105,0.00055406796,0.00003480582,0.00022170931,0.007664576,0.004122896,0.0012524814,0.6171631,0.36850715,0.00003403961],"about_ca_topic_score_codex":0.0050841575,"about_ca_topic_score_gemma":0.005903651,"teacher_disagreement_score":0.027526537,"about_ca_system_score_codex":0.003911803,"about_ca_system_score_gemma":0.006899795,"threshold_uncertainty_score":0.145576},"labels":[],"label_agreement":null},{"id":"W2007050121","doi":"10.1016/j.eswa.2007.06.010","title":"Ontology-based knowledge management for joint venture projects","year":2007,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Joint venture; Knowledge management; Joint (building); Process management; Business; Business administration","score_opus":0.035036693070060416,"score_gpt":0.295061728933148,"score_spread":0.2600250358630876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007050121","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0733502,0.0020499823,0.88297737,0.0046187746,0.00022704892,0.0005993529,0.0016104013,0.00439558,0.030171385],"genre_scores_gemma":[0.51309127,0.0014501484,0.4738788,0.00026946326,0.00007844207,0.00037009496,0.00409951,0.00023991714,0.00652233],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99530244,0.0016767175,0.0007650291,0.00055942126,0.0013889552,0.00030749702],"domain_scores_gemma":[0.9940795,0.0021885657,0.0006364568,0.0016921046,0.0010034551,0.00039991082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007688976,0.00040128568,0.0007431145,0.003947409,0.0021714298,0.0077850833,0.0022943977,0.0016472074,0.0025620917],"category_scores_gemma":[0.01451292,0.00051744556,0.0009959025,0.005451674,0.001218661,0.011847822,0.0044249906,0.001482596,0.0009128777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030296698,0.0007783029,0.00577153,0.0003761757,0.00022910206,0.00055360544,0.0028781723,0.052166596,0.0032541375,0.23775102,0.023782028,0.6721563],"study_design_scores_gemma":[0.000108789485,0.00008700255,0.0037428574,0.00033004573,0.0002832961,0.00036702747,0.00260797,0.44826615,0.007971067,0.42345008,0.11265299,0.00013274745],"about_ca_topic_score_codex":0.015772594,"about_ca_topic_score_gemma":0.0154362675,"teacher_disagreement_score":0.015772594,"about_ca_system_score_codex":0.002089122,"about_ca_system_score_gemma":0.0037614556,"threshold_uncertainty_score":0.04066366},"labels":[],"label_agreement":null},{"id":"W2007633947","doi":"10.3166/isi.11.1.9-37","title":"Outils d'analyse dialectique pour la conception d'architecture de système d'information. Application aux systèmes d'information de production","year":2006,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Humanities; Philosophy","score_opus":0.013450412395466543,"score_gpt":0.24175056358537148,"score_spread":0.22830015118990493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007633947","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043682167,0.010212537,0.9595677,0.0022271657,0.00051887456,0.00016743455,0.00024394947,0.00031616408,0.022377914],"genre_scores_gemma":[0.17999442,0.01567756,0.76965296,0.0013927212,0.00084240397,0.0015104242,0.0013860734,0.00053484726,0.029008575],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9896409,0.005453528,0.00053117436,0.0010469045,0.0029662591,0.00036136294],"domain_scores_gemma":[0.9912452,0.006056228,0.00035063332,0.0010910233,0.0010340137,0.00022291105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011397597,0.0025217254,0.0018959498,0.0045301756,0.0021663392,0.011766221,0.0024440703,0.0032738755,0.008758519],"category_scores_gemma":[0.016699167,0.0010840616,0.003154618,0.0031137737,0.010121274,0.015795944,0.004322929,0.009797986,0.0027418688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034678887,0.000038041857,0.00032712874,0.00036244016,0.000050318515,0.00028277442,0.001721828,0.0020969526,0.0016480242,0.9661373,0.0016118617,0.025688626],"study_design_scores_gemma":[0.000048692156,0.000059810245,0.0008476783,0.00058394467,0.00004063931,0.0009548854,0.0013484303,0.02926749,0.0034870878,0.7921592,0.17112322,0.00007893853],"about_ca_topic_score_codex":0.008384155,"about_ca_topic_score_gemma":0.0042847744,"teacher_disagreement_score":0.011766221,"about_ca_system_score_codex":0.0059837126,"about_ca_system_score_gemma":0.00362635,"threshold_uncertainty_score":0.060276985},"labels":[],"label_agreement":null},{"id":"W2007697117","doi":"10.1038/npre.2009.3970.1","title":"Overcoming the Ontology Enrichment Bottleneck with Quick Term Templates","year":2009,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terry Fox Research Institute","funders":"","keywords":"Computer science; Ontology; Bottleneck; Domain (mathematical analysis); Task (project management); Process ontology; Scalability; Term (time); Template; Process (computing); Software engineering; Ontology-based data integration; Information retrieval; Domain knowledge; Programming language; Database; Systems engineering","score_opus":0.01183715873429956,"score_gpt":0.26638523920229723,"score_spread":0.25454808046799765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007697117","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014126976,0.00014990527,0.95588505,0.00059244427,0.00018900205,0.0004192154,0.0008063972,0.024499642,0.003331409],"genre_scores_gemma":[0.037530582,0.00017285443,0.9510582,0.00026219015,0.00006167489,0.00031717145,0.0018011869,0.0048134504,0.0039827274],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941415,0.0017613672,0.00088623917,0.0007844115,0.0022069025,0.0002195737],"domain_scores_gemma":[0.9604938,0.019558392,0.0024798664,0.01248296,0.0044177375,0.0005672279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072144796,0.0009502736,0.0009804986,0.0033066832,0.001029369,0.003979215,0.002949839,0.0015202479,0.0071888445],"category_scores_gemma":[0.03610892,0.001335979,0.0012089487,0.002923761,0.0012372584,0.0058811884,0.003745303,0.003189824,0.006244226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008190719,0.0007663637,0.0044803834,0.0011891887,0.00017084595,0.00191864,0.0021435956,0.009001374,0.13682969,0.08123383,0.05371824,0.7077288],"study_design_scores_gemma":[0.00018070992,0.00023343934,0.0018411293,0.00042202687,0.00021917949,0.0030482109,0.0005245812,0.121097416,0.4269848,0.07501451,0.370158,0.00027603182],"about_ca_topic_score_codex":0.0011313608,"about_ca_topic_score_gemma":0.0014938405,"teacher_disagreement_score":0.0072144796,"about_ca_system_score_codex":0.0008733901,"about_ca_system_score_gemma":0.0024543842,"threshold_uncertainty_score":0.038154304},"labels":[],"label_agreement":null},{"id":"W2009149513","doi":"10.1007/11880240_17","title":"Mappings, Maps and Tables: Towards Formal Semantics for Associations in UML2","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Programming language; Semantics (computer science); Formal semantics (linguistics); Operational semantics; Formal methods; Theoretical computer science","score_opus":0.02082883432110313,"score_gpt":0.24927097661600248,"score_spread":0.22844214229489934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009149513","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011973883,0.00045724385,0.9947758,0.00035220044,0.000095963325,0.00007130348,0.00036607322,0.0014067536,0.0012772179],"genre_scores_gemma":[0.043856565,0.0012626812,0.9488544,0.0003644298,0.00014063495,0.00040276512,0.0015482162,0.0010132464,0.00255706],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943435,0.0025826292,0.0008854164,0.0006643844,0.0012893573,0.00023468965],"domain_scores_gemma":[0.99441576,0.0031274,0.0004034087,0.001032875,0.0008280015,0.00019247508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007628307,0.0019403266,0.0013765196,0.0035296986,0.0018955247,0.008690331,0.0031570538,0.002872662,0.00446743],"category_scores_gemma":[0.013430112,0.0022144841,0.0026062923,0.004352671,0.0045200004,0.01841368,0.0050501437,0.005038355,0.002276583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069640715,0.000043941032,0.0003796169,0.00036154775,0.00004411344,0.00014364686,0.0023136605,0.008519139,0.001639816,0.89750934,0.009439802,0.07953564],"study_design_scores_gemma":[0.000029568368,0.000017743634,0.00009679343,0.00018622652,0.000053929023,0.00015045571,0.00037823172,0.046355527,0.0026466977,0.8783123,0.07173068,0.000041856856],"about_ca_topic_score_codex":0.006733378,"about_ca_topic_score_gemma":0.007420842,"teacher_disagreement_score":0.008690331,"about_ca_system_score_codex":0.0019499608,"about_ca_system_score_gemma":0.0030226386,"threshold_uncertainty_score":0.040342808},"labels":[],"label_agreement":null},{"id":"W2009480536","doi":"10.1109/services.2012.13","title":"A Web Service for Cloud Metadata","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metadata; Computer science; Cloud computing; World Wide Web; Web service; Service (business); Service provider; Metadata modeling; Database; Metadata repository","score_opus":0.05738604699509518,"score_gpt":0.2872486229641362,"score_spread":0.22986257596904103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009480536","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023811783,0.0016940141,0.673277,0.0041607274,0.0013751369,0.0024414118,0.008781458,0.14219925,0.16368987],"genre_scores_gemma":[0.047801588,0.0034106043,0.58277637,0.007262264,0.0010687818,0.0034464134,0.03724353,0.021556187,0.29543427],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965301,0.00056094996,0.0003744945,0.000339356,0.0018573632,0.00033777696],"domain_scores_gemma":[0.9976426,0.0004434431,0.00016503085,0.0007699628,0.00058300095,0.00039589408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027266017,0.0015318423,0.001430972,0.0028693897,0.0024195367,0.0063973013,0.0034036476,0.0060210726,0.06081807],"category_scores_gemma":[0.0061439616,0.0010070489,0.0018136738,0.0044096443,0.0013468317,0.0072238944,0.005295715,0.004697039,0.06257633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036695556,0.00048933894,0.00089519675,0.00096032355,0.00015430793,0.0015396148,0.0004757604,0.003064374,0.01881773,0.22373946,0.45360985,0.2958871],"study_design_scores_gemma":[0.000096203505,0.000048798775,0.00046329328,0.0002128869,0.000035708108,0.00063984556,0.000087280496,0.016050257,0.004097486,0.043688245,0.9344706,0.000109279004],"about_ca_topic_score_codex":0.0075824894,"about_ca_topic_score_gemma":0.006331996,"teacher_disagreement_score":0.06081807,"about_ca_system_score_codex":0.0026003763,"about_ca_system_score_gemma":0.0035835004,"threshold_uncertainty_score":0.20345676},"labels":[],"label_agreement":null},{"id":"W2011176634","doi":"10.1109/icsc.2014.33","title":"Structure Similarity of Attributed Generalized Trees","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Tree traversal; Similarity (geometry); Vertex (graph theory); Mathematics; Similarity measure; Computer science; Data structure; Enhanced Data Rates for GSM Evolution; Extension (predicate logic); Tree (set theory); Theoretical computer science; Artificial intelligence; Pattern recognition (psychology); Algorithm; Graph; Combinatorics; Image (mathematics)","score_opus":0.01663856028591621,"score_gpt":0.2384979217365417,"score_spread":0.2218593614506255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011176634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02485363,0.00035956484,0.97255117,0.00010333674,0.000035269848,0.00012181479,0.00021221144,0.00053084723,0.0012322373],"genre_scores_gemma":[0.4464293,0.00043735353,0.54870117,0.00010965584,0.00010155696,0.0002913047,0.0015751036,0.00018742646,0.002167159],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99581957,0.0010565511,0.0003958143,0.0007702082,0.0017641442,0.00019367084],"domain_scores_gemma":[0.9927529,0.002837798,0.0008246595,0.0012873156,0.0020309987,0.00026637054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021780946,0.00042838135,0.0012022171,0.0061999727,0.0010036477,0.002333175,0.002077845,0.0011812747,0.0015119446],"category_scores_gemma":[0.014567511,0.00036448252,0.0015715439,0.005713966,0.0010462272,0.004873745,0.0021661187,0.0011588024,0.00039239306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002559949,0.00017151058,0.0077053634,0.0005224032,0.00028160302,0.00045322103,0.001344418,0.14936668,0.008583352,0.32722905,0.004332292,0.499754],"study_design_scores_gemma":[0.000024714933,0.000105474755,0.0015832995,0.00005363783,0.00007209964,0.00029384394,0.00025721162,0.7539093,0.002929751,0.2335499,0.007178363,0.00004245542],"about_ca_topic_score_codex":0.0027727108,"about_ca_topic_score_gemma":0.002312571,"teacher_disagreement_score":0.0061999727,"about_ca_system_score_codex":0.001608817,"about_ca_system_score_gemma":0.0013630379,"threshold_uncertainty_score":0.011672854},"labels":[],"label_agreement":null},{"id":"W2011589330","doi":"10.1016/j.jmgm.2013.04.003","title":"A conceptual basis to encode and detect organic functional groups in XML","year":2013,"lang":"en","type":"article","venue":"Journal of Molecular Graphics and Modelling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Science and Technology, Government of West Bengal; Institut national de la recherche scientifique","keywords":"Functional group; Group (periodic table); ENCODE; Basis (linear algebra); Computer science; Density functional theory; Functional encryption; XML; Interface (matter); Theoretical computer science; Chemistry; Mathematics; Computational chemistry; World Wide Web","score_opus":0.02183466241477486,"score_gpt":0.21185834483419466,"score_spread":0.1900236824194198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011589330","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078085116,0.00020943684,0.97530115,0.0007488207,0.00017480888,0.0002532828,0.0023768635,0.0091033885,0.004023729],"genre_scores_gemma":[0.0941314,0.0006992656,0.89133984,0.0007084246,0.00010372718,0.00052738684,0.0068595195,0.0013200027,0.0043104184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984915,0.00026174885,0.00042205164,0.00020813363,0.00048819807,0.0001283598],"domain_scores_gemma":[0.9968731,0.0010980661,0.00027189293,0.0009152903,0.00070183363,0.00013989871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003736325,0.00087346917,0.0010574935,0.0043001003,0.0014747053,0.005936889,0.0023095445,0.002614961,0.0040397346],"category_scores_gemma":[0.0057455297,0.0009966509,0.0022980683,0.003106246,0.0022886624,0.00748842,0.0020346108,0.0029231398,0.0020465467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023787696,0.00033188864,0.0030606494,0.00056502916,0.00013352967,0.00081487274,0.0016110818,0.01630561,0.010889944,0.82813597,0.01515901,0.1227545],"study_design_scores_gemma":[0.00012772258,0.00014456215,0.0009191931,0.0007380918,0.00033787824,0.00084340293,0.00089041475,0.2053007,0.03438265,0.49019644,0.26593488,0.00018405089],"about_ca_topic_score_codex":0.0052248943,"about_ca_topic_score_gemma":0.0044876137,"teacher_disagreement_score":0.005936889,"about_ca_system_score_codex":0.0015828371,"about_ca_system_score_gemma":0.0019327695,"threshold_uncertainty_score":0.019759834},"labels":[],"label_agreement":null},{"id":"W2012902341","doi":"10.1142/9789812702081_0030","title":"KNOWLEDGE SHARING OVER P2P KNOWLEDGE NETWORKS: A PEER ONTOLOGY AND SEMANTIC OVERLAY DRIVEN APPROACH","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Ontology; Overlay network; Knowledge sharing; Overlay; Peer-to-peer; Semantic network; Information retrieval; Knowledge management; World Wide Web; Artificial intelligence; The Internet","score_opus":0.02728018815763748,"score_gpt":0.27617274976059547,"score_spread":0.248892561602958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012902341","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03890666,0.0003586215,0.94390583,0.001674535,0.00006164164,0.00019866762,0.000069450376,0.00028518273,0.014539432],"genre_scores_gemma":[0.7473063,0.000554936,0.24688415,0.000124983,0.00009355181,0.00023649147,0.00012632922,0.00005412675,0.004619217],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974638,0.0010812378,0.00011538076,0.00027564136,0.00089758117,0.00016634932],"domain_scores_gemma":[0.9974247,0.001275541,0.00019937924,0.000437145,0.00045666358,0.00020655649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026943432,0.0003789302,0.0006176838,0.0013062429,0.0022203866,0.0037907355,0.0020625668,0.0017406034,0.0015413095],"category_scores_gemma":[0.005897674,0.0003314925,0.0005527341,0.0016812619,0.0023557853,0.006184297,0.0033818847,0.0010684412,0.00029648803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012172981,0.00020852237,0.0013642529,0.00021649504,0.00008662399,0.0007319262,0.0015808037,0.18593752,0.004944223,0.7156647,0.0027738677,0.08636942],"study_design_scores_gemma":[0.000025154815,0.00003964566,0.00029130589,0.000028442442,0.00004169206,0.00019329836,0.00066085806,0.7078215,0.0023475136,0.27447966,0.014039679,0.00003126766],"about_ca_topic_score_codex":0.0051333634,"about_ca_topic_score_gemma":0.0044052755,"teacher_disagreement_score":0.0051333634,"about_ca_system_score_codex":0.0017660655,"about_ca_system_score_gemma":0.0022861583,"threshold_uncertainty_score":0.014249206},"labels":[],"label_agreement":null},{"id":"W2013121629","doi":"10.1002/bult.282","title":"Metadata: A Fundamental Component of the Semantic Web","year":2003,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"World Wide Web; Computer science; Semantic Web Stack; Social Semantic Web; Semantic Web; Metadata; Session (web analytics); Data Web; Multimedia; Web service","score_opus":0.01185294662692807,"score_gpt":0.23926819297665958,"score_spread":0.2274152463497315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013121629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021777975,0.008173181,0.908902,0.023650678,0.0015499383,0.00025971315,0.00089445873,0.0024070446,0.05198529],"genre_scores_gemma":[0.12327456,0.01832514,0.8072706,0.010721153,0.0040740953,0.0009421315,0.004211653,0.0019198379,0.029260816],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99062693,0.003698018,0.0010755289,0.0012141506,0.002982694,0.00040266273],"domain_scores_gemma":[0.9878115,0.006472115,0.00054544816,0.0029366983,0.0015712884,0.000662882],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.012252448,0.0012886033,0.0012907346,0.008357415,0.0042357245,0.01940175,0.0037332329,0.005861708,0.0051628356],"category_scores_gemma":[0.020403977,0.0014588569,0.0014969977,0.008506641,0.014437338,0.046175644,0.008550267,0.007600807,0.0037015353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021776668,0.000019350606,0.00025677655,0.00028801963,0.00003756572,0.0001881303,0.0017903111,0.00064266514,0.000537006,0.94563967,0.01227604,0.038302585],"study_design_scores_gemma":[0.0000084433905,0.000011533683,0.0001254456,0.0003100673,0.000025108006,0.00024066599,0.0007283762,0.0026048184,0.00073713006,0.72176546,0.27341372,0.00002927559],"about_ca_topic_score_codex":0.0068637514,"about_ca_topic_score_gemma":0.004357187,"teacher_disagreement_score":0.9805983,"about_ca_system_score_codex":0.003530952,"about_ca_system_score_gemma":0.0049559698,"threshold_uncertainty_score":0.06479794},"labels":[],"label_agreement":null},{"id":"W2014315379","doi":"10.5555/1762828.1762839","title":"A unified ontology-based process model for software maintenance and comprehension","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"","keywords":"Computer science; Software engineering; Ontology; Software maintenance; Process (computing); Traceability; Software development process; Context (archaeology); Knowledge representation and reasoning; Software development; Software; Artificial intelligence; Programming language","score_opus":0.023755869766188008,"score_gpt":0.25745460624867755,"score_spread":0.23369873648248954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014315379","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00184303,0.000118997166,0.9938758,0.0003625658,0.000028592678,0.00009643488,0.00014991582,0.0007455674,0.0027792032],"genre_scores_gemma":[0.08937843,0.0003953929,0.9053325,0.00018444171,0.000056625944,0.00041518346,0.00074731675,0.00025651805,0.0032336542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969125,0.000738712,0.00046647203,0.0006002952,0.0010609865,0.00022098953],"domain_scores_gemma":[0.99653685,0.0012359817,0.00027795826,0.00087734504,0.00091317104,0.00015864946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003846984,0.0008119205,0.0011683544,0.0029626414,0.0014073317,0.0064411927,0.003647671,0.002984083,0.003938431],"category_scores_gemma":[0.009314562,0.00090452953,0.0028839167,0.00271358,0.002316457,0.012512521,0.0023429974,0.0028411192,0.0018471428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058329988,0.0001193119,0.000651174,0.00016726083,0.00006445903,0.00024778204,0.0014102953,0.032030784,0.0029011506,0.8915978,0.0029811668,0.06777043],"study_design_scores_gemma":[0.000038723847,0.00004468596,0.00033031052,0.00011380726,0.00013604951,0.00020384882,0.00022019717,0.3490594,0.0025948598,0.6191585,0.028042749,0.00005685218],"about_ca_topic_score_codex":0.013733825,"about_ca_topic_score_gemma":0.010678388,"teacher_disagreement_score":0.013733825,"about_ca_system_score_codex":0.0023944287,"about_ca_system_score_gemma":0.0051241643,"threshold_uncertainty_score":0.027307808},"labels":[],"label_agreement":null},{"id":"W2014470649","doi":"10.1109/cefc.2010.5481391","title":"The use of semantic networks to adapt a design prototype for electromagnetic device optimization","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Adaptation (eye); Curse of dimensionality; Inference engine; Construct (python library); Inference; Artificial intelligence; Case-based reasoning; Knowledge base; Human–computer interaction; Machine learning; Programming language","score_opus":0.053334638016503434,"score_gpt":0.26140847994385336,"score_spread":0.20807384192734993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014470649","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031732846,0.00007249636,0.9611971,0.00025578926,0.00003307188,0.00011457771,0.00009475393,0.0006725153,0.0058268607],"genre_scores_gemma":[0.45662633,0.00018382497,0.5408235,0.0000829861,0.000017747085,0.0002291181,0.00039166436,0.000096137024,0.0015486554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933225,0.00024194944,0.000049210594,0.00012532924,0.00022006208,0.00003115238],"domain_scores_gemma":[0.9990502,0.000446662,0.000091373266,0.00023009803,0.00015650403,0.000025193585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013456194,0.0005710813,0.00031001942,0.0010712388,0.00056653406,0.0010148092,0.0011371878,0.0007555931,0.0014967074],"category_scores_gemma":[0.0057003456,0.00032679416,0.00070531183,0.00071836344,0.0009621997,0.0024213756,0.0007704719,0.0006249043,0.00026052503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001586729,0.00027670118,0.0025575904,0.0002389515,0.00011066912,0.00061817584,0.0007118578,0.6174887,0.016201872,0.12689914,0.0025437528,0.23219384],"study_design_scores_gemma":[0.00001941853,0.0000415695,0.0005348179,0.00003325309,0.00004994728,0.00013007571,0.00008311018,0.9235995,0.006979733,0.060511846,0.007995213,0.000021516751],"about_ca_topic_score_codex":0.0021880192,"about_ca_topic_score_gemma":0.0032001643,"teacher_disagreement_score":0.0021880192,"about_ca_system_score_codex":0.0007211665,"about_ca_system_score_gemma":0.00063546374,"threshold_uncertainty_score":0.0071163774},"labels":[],"label_agreement":null},{"id":"W2016212831","doi":"10.1007/s12652-012-0154-7","title":"Context-aware similarity assessment within semantic space formed in linked data","year":2012,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Humanized Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Similarity (geometry); Information retrieval; Metadata; Context (archaeology); Semantic similarity; Set (abstract data type); Data mining; Linked data; Semantics (computer science); Semantic Web; Representation (politics); Process (computing); World Wide Web; Artificial intelligence","score_opus":0.11383930400835576,"score_gpt":0.3525204660775334,"score_spread":0.23868116206917764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016212831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4317411,0.000899849,0.5639483,0.00014905925,0.000075478856,0.000117919066,0.00033469062,0.00058035983,0.0021533086],"genre_scores_gemma":[0.91309047,0.00017166205,0.085844316,0.000020059537,0.000029214274,0.000034517605,0.00035715857,0.000027018352,0.00042558013],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793553,0.00049422286,0.00018546404,0.00036443427,0.0009065156,0.00011382463],"domain_scores_gemma":[0.99752706,0.0009959699,0.00030585923,0.00029555435,0.00074954494,0.00012606963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013500713,0.00033002687,0.00079596427,0.004844079,0.0007242009,0.0025270395,0.00092767214,0.0009710153,0.0008500221],"category_scores_gemma":[0.007450686,0.00021850107,0.00070577074,0.003672284,0.0004803405,0.0039868588,0.0020969224,0.00053023477,0.0002659654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002525236,0.00087489566,0.047669195,0.0008190114,0.00062408793,0.0010371794,0.001986611,0.11052354,0.10008035,0.05733939,0.0032621003,0.6732583],"study_design_scores_gemma":[0.000039358176,0.00030334402,0.012262667,0.00005576156,0.00018090695,0.0004019928,0.001030193,0.92502546,0.027701711,0.030372411,0.0025661942,0.000059996306],"about_ca_topic_score_codex":0.0019112953,"about_ca_topic_score_gemma":0.0021819242,"teacher_disagreement_score":0.004844079,"about_ca_system_score_codex":0.00053740724,"about_ca_system_score_gemma":0.0006496802,"threshold_uncertainty_score":0.007139981},"labels":[],"label_agreement":null},{"id":"W2016772176","doi":"10.1007/s10115-009-0279-y","title":"A knowledge encapsulation approach to ontology modularization","year":2010,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Ontology; Ontology components; Modular design; Modular programming; Encapsulation (networking); Process ontology; Upper ontology; Modularity (biology); Ontology-based data integration; Web Ontology Language; Formalism (music); Software engineering; Information retrieval; Suggested Upper Merged Ontology; Domain knowledge; Semantic Web; Programming language","score_opus":0.01550687693980566,"score_gpt":0.24548345380183273,"score_spread":0.22997657686202708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016772176","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031595528,0.00018632413,0.99075377,0.00078305986,0.000053355325,0.000049623144,0.000051642142,0.00039060987,0.0045721414],"genre_scores_gemma":[0.11818923,0.0006551289,0.8730823,0.00053741934,0.00020235538,0.00024893176,0.00044155674,0.00041074387,0.0062324433],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971564,0.0010073582,0.00036408496,0.0004143823,0.0008292595,0.00022848631],"domain_scores_gemma":[0.9932111,0.0023108334,0.0003485373,0.002852504,0.0010706605,0.00020636016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058851177,0.0005514007,0.00077273656,0.0023366816,0.0015676476,0.004504972,0.0025059304,0.0014787532,0.0028713702],"category_scores_gemma":[0.01115851,0.00097650243,0.0026906084,0.0024725385,0.0039464505,0.013560197,0.004677565,0.0038096847,0.0010757579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019738343,0.00004062028,0.00023327034,0.00006898116,0.00003423815,0.00008753888,0.0008401469,0.0028609242,0.0013682792,0.95169413,0.0022881262,0.040464036],"study_design_scores_gemma":[0.000017560047,0.000019510055,0.00024544727,0.000118935975,0.00011347608,0.00019084416,0.00021327026,0.035172455,0.0036710107,0.92724144,0.03295921,0.000036701636],"about_ca_topic_score_codex":0.0027333328,"about_ca_topic_score_gemma":0.0026939847,"teacher_disagreement_score":0.0058851177,"about_ca_system_score_codex":0.0012353362,"about_ca_system_score_gemma":0.0020381634,"threshold_uncertainty_score":0.031123877},"labels":[],"label_agreement":null},{"id":"W2017852170","doi":"10.1109/iccsit.2010.5564016","title":"An intelligent model to construct specialized domain ontologies","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; WordNet; Information retrieval; Ranking (information retrieval); Construct (python library); Query expansion; Domain (mathematical analysis); Probabilistic logic; Concept search; Process (computing); Search engine; Artificial intelligence; Natural language; Natural language processing; Web search query","score_opus":0.03393214188792768,"score_gpt":0.30301097246389663,"score_spread":0.26907883057596893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017852170","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037932643,0.000088114735,0.98919123,0.0005294392,0.00002833885,0.00010838184,0.00015677216,0.00037901272,0.005725477],"genre_scores_gemma":[0.13287154,0.0003219157,0.8579493,0.0002805648,0.000050017392,0.0005069741,0.00074214337,0.00008677909,0.0071908645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998993,0.0003068335,0.00010065669,0.00024582405,0.0002714513,0.000082341525],"domain_scores_gemma":[0.9989629,0.00039192775,0.000102345824,0.0002443015,0.00022153638,0.00007710923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015190532,0.0004962864,0.0005254376,0.0012928022,0.00079524744,0.002230667,0.0017469749,0.0012946997,0.003417393],"category_scores_gemma":[0.0038498845,0.00050059037,0.0012068362,0.0012528254,0.001251623,0.0044996934,0.0018882414,0.0017493456,0.001279391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077743,0.00015800724,0.00093944557,0.00015369308,0.000062064406,0.00026791796,0.0007549237,0.12186896,0.0038613018,0.7582711,0.0058851494,0.107699774],"study_design_scores_gemma":[0.00003995361,0.000033073055,0.00016369329,0.000043653312,0.000043613443,0.00013375912,0.0001117497,0.6821755,0.001419777,0.28305253,0.03276217,0.000020518006],"about_ca_topic_score_codex":0.004797623,"about_ca_topic_score_gemma":0.0074241725,"teacher_disagreement_score":0.004797623,"about_ca_system_score_codex":0.0013162362,"about_ca_system_score_gemma":0.0020839493,"threshold_uncertainty_score":0.01143235},"labels":[],"label_agreement":null},{"id":"W2018051468","doi":"10.4212/cjhp.v64i3.1030","title":"Sharing Data from Pharmacy Information Systems","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; University of Victoria; BC Cancer Agency","funders":"","keywords":"Pharmacy; Computer science; Medicine; Family medicine","score_opus":0.10775482348252825,"score_gpt":0.28941971514020925,"score_spread":0.18166489165768102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018051468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41478518,0.008058608,0.3658343,0.023166444,0.001222307,0.0019538745,0.06865875,0.0066547794,0.10966578],"genre_scores_gemma":[0.8427047,0.003041326,0.097476445,0.00061812624,0.00012819134,0.00023920237,0.051622715,0.0004098037,0.0037594263],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98742956,0.0033504118,0.0016950909,0.0010170318,0.0058512017,0.00065684674],"domain_scores_gemma":[0.98371416,0.00582186,0.00093749445,0.006276487,0.0027433082,0.00050671387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006769059,0.00068167376,0.001249491,0.012779072,0.0020875095,0.0100498255,0.0016656971,0.0020971277,0.002986534],"category_scores_gemma":[0.025756026,0.0005910534,0.0017606256,0.021109363,0.0013570187,0.01234076,0.0061047473,0.0015615039,0.0010175223],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008730837,0.0007852963,0.07090709,0.0029897462,0.0018383552,0.0029490895,0.01019375,0.050772864,0.014419869,0.21168426,0.06363623,0.5689504],"study_design_scores_gemma":[0.00012304223,0.00018102497,0.040950675,0.0017021812,0.0015259716,0.0011890078,0.014412187,0.15458246,0.029647479,0.28247055,0.4728426,0.00037281113],"about_ca_topic_score_codex":0.033098627,"about_ca_topic_score_gemma":0.035334203,"teacher_disagreement_score":0.033098627,"about_ca_system_score_codex":0.0040413854,"about_ca_system_score_gemma":0.0066573075,"threshold_uncertainty_score":0.06581199},"labels":[],"label_agreement":null},{"id":"W2018651008","doi":"10.2316/journal.208.2004.2.208-0803","title":"Using One-Stop Portal in Integrating e-Learning Systems","year":2004,"lang":"en","type":"article","venue":"Advanced Technology for Learning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Business","score_opus":0.025749936474728733,"score_gpt":0.2908512986916999,"score_spread":0.26510136221697117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018651008","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13399902,0.0003079371,0.8207559,0.0006954887,0.00013012567,0.0005407573,0.00014417975,0.01787211,0.025554486],"genre_scores_gemma":[0.50865483,0.00024632146,0.47366467,0.00033937508,0.000052944055,0.00026305116,0.0006318167,0.0012857519,0.014861339],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948309,0.0022092354,0.00039943223,0.00054017,0.001675709,0.00034458275],"domain_scores_gemma":[0.9933382,0.0024866534,0.0003179664,0.0021201104,0.0013363197,0.0004007484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005687703,0.0005943865,0.00079665706,0.0016927965,0.0011328873,0.005518177,0.0013394189,0.003038394,0.005119356],"category_scores_gemma":[0.010735811,0.00080114976,0.00064588716,0.0016146423,0.0006752361,0.010637084,0.004969462,0.0016277651,0.0040838397],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020807842,0.0029575755,0.024179347,0.00084757776,0.00029885524,0.0022564868,0.0043804585,0.008990959,0.06189055,0.049266875,0.009758086,0.83309245],"study_design_scores_gemma":[0.0007233823,0.0034193846,0.015910959,0.00072736165,0.0010516031,0.0046633664,0.0045844694,0.3825518,0.28977343,0.119368255,0.17675926,0.00046671613],"about_ca_topic_score_codex":0.0008740757,"about_ca_topic_score_gemma":0.0013232416,"teacher_disagreement_score":0.005687703,"about_ca_system_score_codex":0.00046372652,"about_ca_system_score_gemma":0.0010865233,"threshold_uncertainty_score":0.030079782},"labels":[],"label_agreement":null},{"id":"W2018954747","doi":"10.4018/jkm.2010040103","title":"A Viewpoint-Based Approach for Understanding the Morphogenesis of Patterns","year":2010,"lang":"en","type":"article","venue":"International Journal of Knowledge Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Viewpoints; Computer science; Conceptual model; Workflow; Process (computing); Semantic Web; Interface (matter); Data science; Artificial intelligence; Database; Programming language","score_opus":0.045607631250111136,"score_gpt":0.2937770730977835,"score_spread":0.24816944184767237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018954747","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020451178,0.0003590464,0.98067456,0.0013409914,0.0000720785,0.00008973823,0.00009840864,0.00014746538,0.015172587],"genre_scores_gemma":[0.07836547,0.0010616428,0.9129805,0.0002951941,0.0000838646,0.00031563718,0.00039693172,0.0001247713,0.006376032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985025,0.00058937987,0.0001350273,0.0003631116,0.0002925077,0.000117625284],"domain_scores_gemma":[0.9978155,0.0008264645,0.00019829889,0.0007044373,0.0002670781,0.00018826162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033202465,0.0010835779,0.0006312603,0.0034233336,0.0026114439,0.006309436,0.0031096926,0.00275829,0.007842179],"category_scores_gemma":[0.0051588938,0.0009238691,0.0027718183,0.0025476206,0.009428965,0.011546851,0.0041676117,0.0043712654,0.001365827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046537757,0.0000056601534,0.00016491274,0.0000451221,0.000007418826,0.00016618302,0.0013768061,0.0013995682,0.0006271508,0.990017,0.00052080094,0.0056648417],"study_design_scores_gemma":[0.000007984037,0.000019500947,0.00018994088,0.00007727956,0.000016696755,0.00030094988,0.00084185787,0.01141372,0.0006072233,0.9342397,0.052267335,0.000017821314],"about_ca_topic_score_codex":0.006433553,"about_ca_topic_score_gemma":0.006202403,"teacher_disagreement_score":0.007842179,"about_ca_system_score_codex":0.0029783526,"about_ca_system_score_gemma":0.0027023738,"threshold_uncertainty_score":0.026234686},"labels":[],"label_agreement":null},{"id":"W2019275374","doi":"10.1061/41109(373)66","title":"Semantic Representation of Infrastructure Interdependencies: Rethinking Infrastructure Design and Management","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Interdependence; Knowledge management; Critical infrastructure; Semantic technology; Semantic Web; Semantic computing; Process management; Business; World Wide Web; Computer security","score_opus":0.01536676685214729,"score_gpt":0.2569309371797065,"score_spread":0.2415641703275592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019275374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073787207,0.00036307698,0.9835392,0.0012361575,0.00008157683,0.000076937795,0.00009547854,0.00062456436,0.0066042645],"genre_scores_gemma":[0.22362119,0.0010569734,0.77115494,0.00029197487,0.000094871924,0.0001550232,0.0007662062,0.00043429842,0.0024245617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954868,0.0020202475,0.00055782415,0.00055771886,0.0010964184,0.00028098933],"domain_scores_gemma":[0.9962225,0.0012122042,0.00036551256,0.0013691143,0.00063739286,0.00019327694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005571761,0.0007289749,0.0008081033,0.0039828434,0.001834239,0.0069300514,0.0023434244,0.0016455342,0.0021261747],"category_scores_gemma":[0.008385769,0.000787206,0.0015917798,0.0035742943,0.0048016086,0.015599104,0.0054829945,0.0023582333,0.00066438556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047160043,0.00009443236,0.0019641889,0.0003857346,0.00010223971,0.00035840296,0.004683233,0.03658616,0.003164446,0.7894765,0.0042795357,0.15885802],"study_design_scores_gemma":[0.000027793905,0.00005075449,0.0009017201,0.00040634215,0.00018633617,0.00035395686,0.0026811217,0.15209891,0.004893407,0.6762141,0.16210794,0.000077525576],"about_ca_topic_score_codex":0.0062361504,"about_ca_topic_score_gemma":0.01013718,"teacher_disagreement_score":0.0069300514,"about_ca_system_score_codex":0.001944582,"about_ca_system_score_gemma":0.0037562845,"threshold_uncertainty_score":0.029466689},"labels":[],"label_agreement":null},{"id":"W2019454785","doi":"10.1049/iet-bmt.2013.0003","title":"Vocabulary harmonisation for biometrics: the development of ISO/IEC 2382 Part 37","year":2013,"lang":"en","type":"article","venue":"IET Biometrics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Vocabulary; Computer science; Biometrics; Field (mathematics); Commission; European commission; Process (computing); Software engineering; Computer security; Linguistics; European union; Business; Political science; Law; Programming language","score_opus":0.06489102743368283,"score_gpt":0.2733501421185968,"score_spread":0.208459114684914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019454785","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019728174,0.011076468,0.82696044,0.018098861,0.004199012,0.0031038558,0.0014462585,0.0019737033,0.11341323],"genre_scores_gemma":[0.10251268,0.011381048,0.8425308,0.004883738,0.0010046437,0.0042405524,0.011471958,0.0017041733,0.020270424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9449128,0.015470731,0.010051403,0.003045813,0.025104178,0.0014150871],"domain_scores_gemma":[0.9530287,0.008414471,0.0026913045,0.007127127,0.027611386,0.0011270151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05152283,0.001320645,0.0014550013,0.011449676,0.0023957517,0.008286051,0.0042751445,0.0035007559,0.0021970628],"category_scores_gemma":[0.049606416,0.0010150872,0.0020791078,0.007598922,0.006397283,0.012390499,0.006423819,0.0063721268,0.002563586],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008707577,0.0001825111,0.0015777999,0.0014161569,0.000057302306,0.00024107679,0.0061096963,0.0036300798,0.009559666,0.7167771,0.03387202,0.22648954],"study_design_scores_gemma":[0.0000284631,0.00016204205,0.0023416704,0.0025736177,0.00006026167,0.0005856016,0.0024135255,0.0063103335,0.007699049,0.10419975,0.8735073,0.00011829409],"about_ca_topic_score_codex":0.013778794,"about_ca_topic_score_gemma":0.004436894,"teacher_disagreement_score":0.05152283,"about_ca_system_score_codex":0.007176338,"about_ca_system_score_gemma":0.03446843,"threshold_uncertainty_score":0.27248204},"labels":[],"label_agreement":null},{"id":"W2019457105","doi":"10.3166/isi.13.4.35-58","title":"Une approche par les modèles pour le suivi de l'activité coopérative de construction d'un bâtiment. Une interface multivue et des services métiers orientés gestion de chantier","year":2008,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.03061476806573469,"score_gpt":0.25326064104417556,"score_spread":0.22264587297844088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019457105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021885266,0.0021808748,0.94499916,0.006723137,0.00069007935,0.00025910695,0.00025863343,0.0010423504,0.04165813],"genre_scores_gemma":[0.08762302,0.0026757678,0.8524258,0.0017566205,0.00029749173,0.0012820493,0.0007573039,0.0004565422,0.052725397],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99448836,0.0020707678,0.00036631536,0.00092549773,0.0018927485,0.00025619424],"domain_scores_gemma":[0.99760747,0.00080541876,0.00015738976,0.000538359,0.000701528,0.00018983218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037506358,0.0014963754,0.0007055391,0.0019091653,0.002338955,0.009089469,0.0028217083,0.0063874163,0.011199809],"category_scores_gemma":[0.006838957,0.0010923664,0.003237057,0.0017248566,0.003932586,0.007474575,0.003960041,0.0053687803,0.004164858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004339303,0.00005275215,0.0004957575,0.00020723937,0.000051598057,0.0003032309,0.0015951411,0.008208887,0.0016240682,0.94490844,0.008499111,0.034010466],"study_design_scores_gemma":[0.00007247579,0.00006647315,0.0004711886,0.00059978536,0.00013117964,0.0008329038,0.0009662411,0.08776128,0.0023636036,0.44576672,0.46087757,0.00009057253],"about_ca_topic_score_codex":0.012509057,"about_ca_topic_score_gemma":0.013614695,"teacher_disagreement_score":0.012509057,"about_ca_system_score_codex":0.0035672346,"about_ca_system_score_gemma":0.0046113227,"threshold_uncertainty_score":0.037467062},"labels":[],"label_agreement":null},{"id":"W2020714435","doi":"10.1145/1840784.1840839","title":"Supporting semantic navigation","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Semantic computing; Information retrieval; Context (archaeology); Reading (process); Human–computer interaction; Semantic search; Semantic grid; Exploratory search; Interface (matter); World Wide Web; Semantic Web","score_opus":0.01265065556953339,"score_gpt":0.28743821893862354,"score_spread":0.27478756336909016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020714435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00870967,0.00048843847,0.96326405,0.0009834868,0.00017460363,0.00014028711,0.00021799242,0.005005976,0.021015495],"genre_scores_gemma":[0.24576873,0.0011159653,0.7388793,0.0008921918,0.0002322324,0.00033911868,0.0016971085,0.0016687327,0.009406583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9938117,0.002639019,0.00049673003,0.0007472739,0.0018796321,0.00042548674],"domain_scores_gemma":[0.97711486,0.013665325,0.0006702683,0.0054259356,0.0026215676,0.00050210924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066052233,0.001481671,0.0013850235,0.0023609542,0.002111837,0.0055491407,0.0024400672,0.0031921372,0.011706551],"category_scores_gemma":[0.028584978,0.0008283952,0.0015617136,0.0027771166,0.002505181,0.018911054,0.00978328,0.0025228253,0.0044194735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005478611,0.00031754977,0.002309498,0.0011783012,0.00013853182,0.0007965477,0.0067958487,0.0065983813,0.013002019,0.6199712,0.016306255,0.33203793],"study_design_scores_gemma":[0.00015414781,0.0001977186,0.0006311542,0.0006018876,0.00021799069,0.0010597779,0.001402105,0.0750203,0.016955389,0.62823796,0.27536455,0.00015704846],"about_ca_topic_score_codex":0.002499186,"about_ca_topic_score_gemma":0.003492457,"teacher_disagreement_score":0.011706551,"about_ca_system_score_codex":0.0006707921,"about_ca_system_score_gemma":0.0021713132,"threshold_uncertainty_score":0.039162338},"labels":[],"label_agreement":null},{"id":"W2021245142","doi":"10.2196/medinform.2519","title":"A Web-Based Data-Querying Tool Based on Ontology-Driven Methodology and Flowchart-Based Model","year":2013,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Flowchart; Ontology; Software engineering; Database; Data mining; Information retrieval; World Wide Web; Data science; Programming language","score_opus":0.09228175760036812,"score_gpt":0.3384560047041932,"score_spread":0.24617424710382507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021245142","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047088433,0.00004419359,0.9673864,0.00014291794,0.00002400311,0.0007357153,0.0007307053,0.025126824,0.0011004375],"genre_scores_gemma":[0.031852163,0.000120433964,0.9617102,0.00014467492,0.0000142260005,0.000819855,0.0028138903,0.0010442754,0.0014803165],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982468,0.0004670585,0.0002520786,0.00039864721,0.00053630135,0.000099127],"domain_scores_gemma":[0.99478805,0.003168279,0.00034175263,0.0006018163,0.00093032717,0.0001698056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00430896,0.0013964941,0.00072501955,0.0022528514,0.000552579,0.002333398,0.0023928143,0.00109111,0.0045967754],"category_scores_gemma":[0.008956792,0.00081508246,0.001533211,0.0012381107,0.00079813617,0.0028427206,0.0014201129,0.001182241,0.0014151394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010205918,0.001681029,0.0086242715,0.0026385977,0.0002995674,0.0022335984,0.003349703,0.090767,0.07505185,0.051378697,0.035596024,0.72735906],"study_design_scores_gemma":[0.00038759358,0.00046953198,0.0031645496,0.00047572432,0.00021822097,0.0010933502,0.00025562424,0.8303925,0.053062025,0.02344358,0.086763136,0.00027415977],"about_ca_topic_score_codex":0.008993534,"about_ca_topic_score_gemma":0.007280277,"teacher_disagreement_score":0.008993534,"about_ca_system_score_codex":0.0011512021,"about_ca_system_score_gemma":0.0033364568,"threshold_uncertainty_score":0.022788227},"labels":[],"label_agreement":null},{"id":"W2021502500","doi":"10.1109/sysose.2013.6575236","title":"Terms extraction from unstructured data silos","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"NoSQL; Computer science; Unstructured data; Knowledge extraction; Big data; Semi-structured data; Schema (genetic algorithms); Data mining; Data modeling; Graph database; Graph; Database; Data science; Information retrieval; Relational database; Theoretical computer science","score_opus":0.04294107636015791,"score_gpt":0.2775724917454833,"score_spread":0.2346314153853254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021502500","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12280919,0.0018784013,0.8276049,0.00070489204,0.0001533224,0.0007613557,0.022772936,0.012635247,0.010679802],"genre_scores_gemma":[0.37327343,0.0014383722,0.59092724,0.00015716424,0.00008481982,0.00035605874,0.029544014,0.0008355392,0.0033834013],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990175,0.00009717683,0.00014553286,0.00019943803,0.00044183084,0.000098579585],"domain_scores_gemma":[0.997664,0.00090661464,0.00034191713,0.0004841632,0.000532784,0.00007054553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006530903,0.00078652287,0.0007078956,0.009754842,0.00075186644,0.0019340005,0.00058997,0.00071656384,0.0016994624],"category_scores_gemma":[0.004617828,0.00036029195,0.001098109,0.0063506183,0.00052206207,0.002329138,0.0019444145,0.00071266736,0.0015748604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051144365,0.0001892651,0.021322025,0.002057215,0.00025689168,0.0031424174,0.0034740574,0.025497515,0.12720938,0.05799388,0.027783606,0.73056227],"study_design_scores_gemma":[0.00007952783,0.00014544808,0.022840457,0.00053917686,0.00041429282,0.0027970101,0.0050736815,0.42148963,0.17034115,0.19989365,0.17622782,0.00015817613],"about_ca_topic_score_codex":0.0040841945,"about_ca_topic_score_gemma":0.005768716,"teacher_disagreement_score":0.009754842,"about_ca_system_score_codex":0.00067101594,"about_ca_system_score_gemma":0.0013475142,"threshold_uncertainty_score":0.008120835},"labels":[],"label_agreement":null},{"id":"W2022105839","doi":"10.15803/ijnc.5.1_61","title":"Handling Non-determinism with Description Logics using a Fork/Join Approach","year":2015,"lang":"en","type":"article","venue":"International Journal of Networking and Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency","keywords":"Computer science; Cardinality (data modeling); Semantic reasoner; Laptop; Theoretical computer science; Description logic; Determinism; Fork (system call); Programming language; Join (topology); Ontology; Ontology language; Artificial intelligence; Semantic Web; Database","score_opus":0.08842439412181259,"score_gpt":0.28803734330467035,"score_spread":0.19961294918285777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022105839","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038990376,0.00006877634,0.99424994,0.00022438438,0.000019742556,0.00009593639,0.00006684377,0.0005267397,0.00084864045],"genre_scores_gemma":[0.09458923,0.0002548824,0.9018397,0.00020496966,0.00006278227,0.00020632605,0.00032435352,0.0002875299,0.0022302645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935603,0.0017240847,0.00074982515,0.0012079444,0.0022331835,0.00052461703],"domain_scores_gemma":[0.9919186,0.004608349,0.0005408736,0.0018073345,0.0008025461,0.00032233496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008697223,0.00077377487,0.0010279705,0.0012621417,0.002342847,0.0049111326,0.0030127643,0.0013045905,0.0038574445],"category_scores_gemma":[0.009151916,0.0011662968,0.0038748113,0.0011917095,0.0041934256,0.00924741,0.005015652,0.003726652,0.0006132196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003093486,0.00023461864,0.0017285444,0.0005802167,0.00024574506,0.0007847503,0.001983782,0.11740079,0.010443887,0.7619729,0.002691149,0.101624176],"study_design_scores_gemma":[0.00009862189,0.00005830334,0.00011084117,0.00006994486,0.00013748374,0.00023177736,0.0002041804,0.33406976,0.014025398,0.6290043,0.021927949,0.00006140098],"about_ca_topic_score_codex":0.00667473,"about_ca_topic_score_gemma":0.008336741,"teacher_disagreement_score":0.008697223,"about_ca_system_score_codex":0.002630629,"about_ca_system_score_gemma":0.004286673,"threshold_uncertainty_score":0.04599589},"labels":[],"label_agreement":null},{"id":"W2022521277","doi":"10.1145/1297144.1297173","title":"Experience with the use of peritexts to support modeler-author communication in a structured-document system","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Semantics (computer science); Natural language; Context (archaeology); Field (mathematics); Interface (matter); Prime (order theory); Human–computer interaction; World Wide Web; Software engineering; Natural language processing; Programming language","score_opus":0.05608709608511122,"score_gpt":0.29839668611692016,"score_spread":0.24230959003180894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022521277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6569219,0.00068616355,0.25032336,0.0042823083,0.00017718764,0.00066703616,0.00018347622,0.0031142854,0.083644256],"genre_scores_gemma":[0.8038406,0.00068204757,0.1760235,0.00053349015,0.00006221468,0.00020576155,0.00027739597,0.0006010766,0.017773997],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9877016,0.009685814,0.00038494266,0.00042745043,0.0013329482,0.00046722832],"domain_scores_gemma":[0.97856617,0.0155242905,0.00041356272,0.0027889914,0.0014731928,0.001233741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015046479,0.0007212342,0.00060067663,0.0010354794,0.0027839178,0.005790175,0.0028251142,0.0029073486,0.0046114363],"category_scores_gemma":[0.0300059,0.0006635534,0.0005445996,0.0014521402,0.004434083,0.010688285,0.0044210725,0.0032004516,0.0012829719],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009479118,0.0032504865,0.008403017,0.000833688,0.00008005134,0.0056459215,0.59172255,0.010301023,0.025180457,0.06677499,0.013363842,0.27349606],"study_design_scores_gemma":[0.0008549782,0.006420533,0.008164765,0.00072639127,0.00033329002,0.010904694,0.13866657,0.08729903,0.07060407,0.042483084,0.6328569,0.00068564794],"about_ca_topic_score_codex":0.003213179,"about_ca_topic_score_gemma":0.004908048,"teacher_disagreement_score":0.015046479,"about_ca_system_score_codex":0.0020886082,"about_ca_system_score_gemma":0.0020682458,"threshold_uncertainty_score":0.07957435},"labels":[],"label_agreement":null},{"id":"W2023177300","doi":"10.1109/nafips.2006.365430","title":"Ontology-Enhanced Computing with Words","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Ontology; Personalization; Semantics (computer science); Semantic Web; Representation (politics); Knowledge representation and reasoning; Simple (philosophy); Human–computer interaction; World Wide Web; Information retrieval; Artificial intelligence; Programming language","score_opus":0.007869236563786536,"score_gpt":0.21865718392559522,"score_spread":0.21078794736180867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023177300","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029557208,0.0015688501,0.9316244,0.0021466238,0.000366481,0.00009945578,0.00017543382,0.0007293347,0.03373211],"genre_scores_gemma":[0.48607194,0.0025262653,0.49661228,0.00067287456,0.0002962627,0.00020730552,0.0004357322,0.00018281027,0.012994463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999091,0.00030517616,0.00007988268,0.00018202164,0.00024179187,0.00010013611],"domain_scores_gemma":[0.9992667,0.00025461643,0.000044436158,0.00026156913,0.0001192395,0.00005344282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007068588,0.00032199782,0.0005218506,0.0008342217,0.0008353322,0.0030681225,0.0008427483,0.0006509415,0.0026368692],"category_scores_gemma":[0.0028387103,0.00023729204,0.001008344,0.001393627,0.0023342308,0.007074382,0.0034528738,0.0013378953,0.0007434269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000667684,0.000027910934,0.00016234822,0.00008285936,0.000017471846,0.00010776496,0.000493006,0.007961879,0.0032914118,0.91766924,0.0027742898,0.06734509],"study_design_scores_gemma":[0.000017040124,0.000022526321,0.00010822631,0.00003403849,0.000023484776,0.0000996556,0.00011918504,0.05645842,0.0030212593,0.9036459,0.03643293,0.000017375212],"about_ca_topic_score_codex":0.0017853617,"about_ca_topic_score_gemma":0.0016711783,"teacher_disagreement_score":0.0030681225,"about_ca_system_score_codex":0.00096593716,"about_ca_system_score_gemma":0.000862086,"threshold_uncertainty_score":0.008821249},"labels":[],"label_agreement":null},{"id":"W2024358447","doi":"10.1115/1.4030077","title":"Task-Oriented Adaptive Maintenance Support System","year":2015,"lang":"en","type":"article","venue":"Journal of Computing and Information Science in Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Task (project management); Computer science; Process (computing); Documentation; Software engineering; Software; Technician; Technical documentation; Human–computer interaction; Systems engineering; Engineering","score_opus":0.013071901042739415,"score_gpt":0.23280876688126023,"score_spread":0.2197368658385208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024358447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13770528,0.00042357555,0.7291244,0.00056887977,0.0001539318,0.00095161283,0.0022379234,0.094004646,0.034829743],"genre_scores_gemma":[0.75489205,0.00033991362,0.2166072,0.00041775632,0.000075009455,0.0005172161,0.0042442125,0.000608943,0.022297705],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997811,0.000025098738,0.000024687099,0.00006684563,0.000076460776,0.000025792655],"domain_scores_gemma":[0.9995497,0.00007779979,0.000046596815,0.000102561935,0.00015839585,0.00006498457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036472632,0.00036558183,0.00025671526,0.0006715149,0.00039662793,0.00083757786,0.0010255484,0.0005596733,0.0039467206],"category_scores_gemma":[0.0009911866,0.00014944117,0.00028865653,0.00041602761,0.00016154641,0.0007131593,0.0006043469,0.0004249895,0.0021635776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013621172,0.0015220018,0.011343375,0.00050236576,0.00015707078,0.0012071385,0.0012082165,0.04070631,0.124683596,0.018071309,0.055383474,0.743853],"study_design_scores_gemma":[0.00035689393,0.00045330616,0.012013996,0.00008230905,0.0002685855,0.0012252119,0.00029402238,0.7365539,0.05621205,0.015996078,0.17641054,0.0001330449],"about_ca_topic_score_codex":0.0032719406,"about_ca_topic_score_gemma":0.0019221945,"teacher_disagreement_score":0.0039467206,"about_ca_system_score_codex":0.00036304473,"about_ca_system_score_gemma":0.0007027863,"threshold_uncertainty_score":0.0132030845},"labels":[],"label_agreement":null},{"id":"W2024518390","doi":"10.1016/j.autcon.2005.07.005","title":"A semantic framework to support corporate memory management in building construction","year":2005,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Taxonomy (biology); Ontology; Knowledge representation and reasoning; Knowledge management; Domain (mathematical analysis); Semantic Web; Data science; Information retrieval; Artificial intelligence","score_opus":0.022819166576489008,"score_gpt":0.2757474928056161,"score_spread":0.2529283262291271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024518390","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00812401,0.00030714314,0.9787533,0.00063503854,0.000068655354,0.00013517399,0.0002955074,0.0029637825,0.008717378],"genre_scores_gemma":[0.14339848,0.0005304085,0.8512119,0.00016257726,0.000052043946,0.00017123569,0.0010909677,0.00032576456,0.0030567443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986072,0.00032611025,0.00022057223,0.00022146107,0.00046892118,0.00015578793],"domain_scores_gemma":[0.99895203,0.00025618152,0.00009413236,0.00037255534,0.0002203336,0.000104802435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002661138,0.00060030405,0.0007748075,0.002859801,0.0022363341,0.0056262226,0.0023222056,0.0020810359,0.0024531225],"category_scores_gemma":[0.0032324705,0.0006847839,0.0016860001,0.0029166415,0.0026591201,0.0083429,0.003062035,0.001953733,0.00085730257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007800034,0.00019341684,0.0011959545,0.00019907109,0.000062660096,0.0003665833,0.0017214109,0.029104175,0.0031252743,0.8488033,0.007728187,0.107421964],"study_design_scores_gemma":[0.00005966789,0.000065905515,0.0008455503,0.00032490114,0.00024806298,0.00059580413,0.0010234666,0.31330445,0.008918846,0.49111256,0.18339834,0.000102493286],"about_ca_topic_score_codex":0.014804424,"about_ca_topic_score_gemma":0.021004636,"teacher_disagreement_score":0.014804424,"about_ca_system_score_codex":0.0015832704,"about_ca_system_score_gemma":0.0031357568,"threshold_uncertainty_score":0.029436529},"labels":[],"label_agreement":null},{"id":"W2025054960","doi":"10.1080/01490419.2014.902885","title":"From Movement Data to Objects Behavior Using Semantic Trajectory and Semantic Events","year":2014,"lang":"en","type":"article","venue":"Marine Geodesy","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Movement (music); Trajectory; Computer science; Semantic data model; Geography; Cartography; Artificial intelligence; Art; Physics","score_opus":0.05260475734778567,"score_gpt":0.2872565953688148,"score_spread":0.23465183802102915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025054960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016265092,0.00055583235,0.96770555,0.0008700375,0.000099864264,0.00020960285,0.006267852,0.002352463,0.0056736544],"genre_scores_gemma":[0.26990062,0.0019074733,0.70555764,0.0002486738,0.00008891015,0.0003766594,0.018623628,0.00051898655,0.0027774144],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792993,0.0005818214,0.0002665179,0.0006915253,0.00043117162,0.0000990894],"domain_scores_gemma":[0.99749595,0.0011008033,0.0003496359,0.00056890934,0.00037823227,0.0001064739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016885913,0.0014643046,0.0005300046,0.00795114,0.0008184513,0.003572294,0.0011625101,0.0012297624,0.0031656073],"category_scores_gemma":[0.007759817,0.0004615502,0.0018058547,0.0072195358,0.0016756457,0.009548805,0.00356635,0.0014930619,0.0011529069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047704033,0.00045517678,0.032410454,0.0019031751,0.0006220817,0.0027043913,0.009593277,0.10303497,0.008170368,0.3887272,0.014853843,0.43704793],"study_design_scores_gemma":[0.000050874376,0.00012734537,0.014161865,0.0007709062,0.00035887584,0.0009653178,0.007241255,0.31655663,0.009301927,0.49134618,0.15893482,0.00018405923],"about_ca_topic_score_codex":0.018043397,"about_ca_topic_score_gemma":0.018712852,"teacher_disagreement_score":0.018043397,"about_ca_system_score_codex":0.0015321128,"about_ca_system_score_gemma":0.0017301802,"threshold_uncertainty_score":0.03587675},"labels":[],"label_agreement":null},{"id":"W2025729706","doi":"10.1016/j.eswa.2008.12.038","title":"An adjustable personalization of search and delivery of learning objects to learners","year":2008,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Learning object; Personalization; Computer science; Object (grammar); Ontology; Personalized search; Order (exchange); User profile; Information retrieval; Artificial intelligence; World Wide Web","score_opus":0.02738434134061168,"score_gpt":0.2654481821081586,"score_spread":0.23806384076754694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025729706","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1921978,0.0010373692,0.77145797,0.00084610016,0.00022154329,0.0004830326,0.00060386246,0.02054146,0.012610956],"genre_scores_gemma":[0.81238645,0.00031916596,0.17891589,0.00021581707,0.000107579785,0.0002662795,0.00045603764,0.0009241246,0.0064086085],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99677104,0.0009509472,0.0002585846,0.0011100302,0.0007199365,0.00018947668],"domain_scores_gemma":[0.985378,0.006195155,0.0007590875,0.00520003,0.0016532162,0.000814474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004680494,0.0008290949,0.0012130227,0.0016042984,0.0006820084,0.0029914249,0.003007421,0.001944285,0.005256258],"category_scores_gemma":[0.021786185,0.0008120527,0.0005938737,0.0015841947,0.0009417457,0.0049061645,0.0027676313,0.0016135405,0.002217936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003087556,0.0027902175,0.021367488,0.0005616592,0.000384008,0.00021768534,0.0018336908,0.046680342,0.10255366,0.018143706,0.0124801835,0.7898997],"study_design_scores_gemma":[0.0005835864,0.0009210473,0.024333313,0.0001349807,0.00059043994,0.0008887486,0.00082117924,0.82465804,0.07573291,0.037602365,0.033458456,0.00027496906],"about_ca_topic_score_codex":0.0021926484,"about_ca_topic_score_gemma":0.0020990018,"teacher_disagreement_score":0.005256258,"about_ca_system_score_codex":0.0010316613,"about_ca_system_score_gemma":0.001199549,"threshold_uncertainty_score":0.024753153},"labels":[],"label_agreement":null},{"id":"W2025803447","doi":"10.1007/s11761-007-0019-7","title":"Performance evaluation of semantic registries: OWLJessKB and instanceStore","year":2008,"lang":"en","type":"article","venue":"Service Oriented Computing and Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Ontology; Scalability; Semantic interoperability; Interoperability; Information retrieval; Service discovery; Process (computing); Task (project management); Service (business); Semantic heterogeneity; Component (thermodynamics); Ontology-based data integration; Database; World Wide Web; Semantic Web; Web service","score_opus":0.0358343697667847,"score_gpt":0.276767831177201,"score_spread":0.2409334614104163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025803447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87199175,0.0044386745,0.030328298,0.0019664292,0.0010468416,0.000472139,0.008173039,0.069703355,0.0118794935],"genre_scores_gemma":[0.8953513,0.00125481,0.06979251,0.00031606067,0.000101198944,0.00024097484,0.02492946,0.0025515985,0.0054621147],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97845227,0.007929511,0.0026514817,0.002702839,0.0065929857,0.001670883],"domain_scores_gemma":[0.95163625,0.028329,0.0018281208,0.008871997,0.0073989592,0.0019357202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020437164,0.0017385796,0.0029050729,0.0039395723,0.0019447134,0.0049908464,0.0042114626,0.0024232273,0.004584656],"category_scores_gemma":[0.05873423,0.0012661411,0.0011935567,0.004686175,0.001345269,0.010187342,0.0033717297,0.0013702764,0.0022540372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.033355817,0.0061495993,0.07145142,0.0036121528,0.002795103,0.001053711,0.0014924485,0.21844962,0.022617875,0.016722739,0.1319733,0.4903263],"study_design_scores_gemma":[0.0018322081,0.0013398555,0.011051,0.00013805123,0.0006020877,0.00047630668,0.0013141653,0.9253397,0.03702507,0.004236024,0.016445493,0.0001999391],"about_ca_topic_score_codex":0.04646198,"about_ca_topic_score_gemma":0.027862184,"teacher_disagreement_score":0.04646198,"about_ca_system_score_codex":0.0030507674,"about_ca_system_score_gemma":0.0055187894,"threshold_uncertainty_score":0.10808337},"labels":[],"label_agreement":null},{"id":"W2026136988","doi":"10.4018/jcit.2009072101","title":"The Ontological Stance for a Manufacturing Scenario","year":2009,"lang":"en","type":"article","venue":"Journal of Cases on Information Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Software engineering; Process ontology; Ontology-based data integration; Terminology; Upper ontology; Semantic integration; Inference; Software; Software deployment; Process (computing); Suggested Upper Merged Ontology; Ontology alignment; Information retrieval; Artificial intelligence; Semantic Web; Programming language; Semantic Web Stack; Linguistics; Domain knowledge","score_opus":0.015044253014225326,"score_gpt":0.2634570525882637,"score_spread":0.24841279957403836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026136988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033477146,0.0015207054,0.64847714,0.04502961,0.00048957544,0.00017347708,0.0003363603,0.00028874888,0.2702072],"genre_scores_gemma":[0.689098,0.001218579,0.28677687,0.004564669,0.00029956092,0.0002876993,0.00053226383,0.00010530541,0.017117033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99528545,0.002338044,0.00030997145,0.00045706207,0.0012799213,0.00032944756],"domain_scores_gemma":[0.99805224,0.0008969688,0.00016764448,0.00033418043,0.00032234355,0.00022673603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005231094,0.0005054672,0.0004938104,0.002113146,0.004450847,0.006532741,0.0016302041,0.0048602116,0.0041827564],"category_scores_gemma":[0.005149461,0.00046492912,0.0012294557,0.0017285008,0.010803875,0.011440008,0.0051843068,0.0056819725,0.0010353442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004541885,0.00000665492,0.000055730263,0.000009668429,0.0000017693836,0.0000788415,0.00080455036,0.00031345838,0.00018656862,0.9964981,0.00044960357,0.0015904595],"study_design_scores_gemma":[0.000008984078,0.0000121594585,0.00015148609,0.00006233719,0.000009233223,0.00020295916,0.0020123841,0.0044288356,0.00039691041,0.9398536,0.05284734,0.000013813678],"about_ca_topic_score_codex":0.0057719736,"about_ca_topic_score_gemma":0.0049464013,"teacher_disagreement_score":0.006532741,"about_ca_system_score_codex":0.0035733315,"about_ca_system_score_gemma":0.003359288,"threshold_uncertainty_score":0.027665019},"labels":[],"label_agreement":null},{"id":"W2027035578","doi":"10.1016/j.knosys.2010.09.001","title":"Reasoning with part–part relations in a description logic","year":2010,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Extension (predicate logic); Axiom; Computer science; Syntax; Description logic; Knowledge representation and reasoning; Conjunction (astronomy); Representation (politics); Semantics (computer science); Simple (philosophy); Theoretical computer science; Programming language; Algebra over a field; Artificial intelligence; Mathematics; Epistemology; Pure mathematics","score_opus":0.029197612328546726,"score_gpt":0.24810084040667382,"score_spread":0.2189032280781271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027035578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021745756,0.0015265858,0.9678705,0.0017880945,0.00012741137,0.00011973632,0.0006185521,0.0005265666,0.0056768134],"genre_scores_gemma":[0.3482845,0.0025919245,0.64129287,0.0009435063,0.0003086957,0.00025437647,0.002139176,0.0002050904,0.003979945],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99158174,0.0036030698,0.0010332989,0.0010558004,0.0023651524,0.00036089052],"domain_scores_gemma":[0.98335636,0.0132431965,0.00062823883,0.0017632135,0.0007116808,0.0002973715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008282049,0.0013409173,0.0018751035,0.0042878087,0.0022910698,0.008537955,0.0035334276,0.003255662,0.00447564],"category_scores_gemma":[0.01740955,0.0020297368,0.0049060713,0.00519881,0.005482854,0.025648724,0.0047285804,0.0036225957,0.00078267686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002473844,0.00017916271,0.00133669,0.0006046563,0.00038971062,0.001477435,0.0012409168,0.062272526,0.0021212725,0.87215585,0.003938313,0.054036137],"study_design_scores_gemma":[0.00006384531,0.000021213658,0.00013667111,0.00009121606,0.00020609601,0.0002897732,0.00016094273,0.13301386,0.0019166041,0.8574745,0.006579201,0.000046023964],"about_ca_topic_score_codex":0.008251068,"about_ca_topic_score_gemma":0.007413168,"teacher_disagreement_score":0.008537955,"about_ca_system_score_codex":0.0027853027,"about_ca_system_score_gemma":0.001774736,"threshold_uncertainty_score":0.043800175},"labels":[],"label_agreement":null},{"id":"W2027364089","doi":"10.1016/j.eswa.2012.10.012","title":"Data summarization ontology-based query processing","year":2012,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Automatic summarization; Computer science; Ontology; Information retrieval; Multi-document summarization; Query language; Ontology-based data integration; Query expansion; Upper ontology; Data mining; Semantic Web","score_opus":0.05784543019104168,"score_gpt":0.30598091195149846,"score_spread":0.24813548176045677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027364089","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024842083,0.0014130247,0.939596,0.0010326061,0.00025753828,0.00086349336,0.005166513,0.020931087,0.0058976766],"genre_scores_gemma":[0.20118642,0.0012840233,0.76035297,0.00062552496,0.00025445677,0.00086158694,0.024939308,0.0015341908,0.008961479],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99562055,0.0007999359,0.00071704626,0.0006472542,0.0019130965,0.0003021915],"domain_scores_gemma":[0.99480164,0.00130787,0.00026601632,0.0009249394,0.002585526,0.00011412711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028603994,0.0014421366,0.0024089909,0.007817276,0.001562911,0.0044722487,0.0021901617,0.0010622127,0.0068761897],"category_scores_gemma":[0.008672628,0.00049806444,0.0019908368,0.006833201,0.0005454526,0.0030372806,0.002094854,0.0012208231,0.0042694383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074853475,0.0004072514,0.0033948426,0.001433875,0.00037233316,0.0005709141,0.0011256594,0.017771004,0.07277117,0.017118264,0.062705465,0.82158077],"study_design_scores_gemma":[0.00017866309,0.00039769945,0.006144283,0.0002730826,0.0009917433,0.0010865185,0.0022133566,0.5782475,0.1977211,0.03764454,0.17485356,0.00024795876],"about_ca_topic_score_codex":0.0078010894,"about_ca_topic_score_gemma":0.006353418,"teacher_disagreement_score":0.007817276,"about_ca_system_score_codex":0.0012745691,"about_ca_system_score_gemma":0.0022774215,"threshold_uncertainty_score":0.023003161},"labels":[],"label_agreement":null},{"id":"W2027478714","doi":"10.1016/s0950-7051(00)00090-3","title":"An agent-based approach for integrating user profile into a knowledge management process","year":2000,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Computer science; Process (computing); Order (exchange); User profile; User agent; Quality (philosophy); Filter (signal processing); Service (business); Measure (data warehouse); Human–computer interaction; World Wide Web; Database","score_opus":0.025304613135559522,"score_gpt":0.2979596030803466,"score_spread":0.27265498994478704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027478714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044537066,0.00014397978,0.9859039,0.0006546115,0.000071991984,0.00030806745,0.00012479784,0.0016024292,0.0067365263],"genre_scores_gemma":[0.11203925,0.00027591374,0.8801402,0.0002525789,0.00005527893,0.00028771895,0.00049530197,0.00014645426,0.0063073295],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958215,0.0014528708,0.0004374668,0.00050358626,0.0016092723,0.00017541528],"domain_scores_gemma":[0.99635834,0.0012850682,0.0002456244,0.0007065261,0.001108345,0.00029610694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004923924,0.00068432523,0.0011945735,0.0030875541,0.0019649728,0.007543877,0.0026230298,0.002324446,0.002653905],"category_scores_gemma":[0.008948774,0.0007814628,0.0011460661,0.0032205503,0.0009091508,0.008380382,0.002749117,0.002071013,0.0022312829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005737099,0.0014671334,0.006491837,0.0006274598,0.00063857593,0.00104838,0.0055071763,0.028438808,0.02000126,0.28070098,0.019869078,0.63463557],"study_design_scores_gemma":[0.00010971039,0.00020201858,0.00247516,0.00028590162,0.00070229045,0.0010390322,0.0013215218,0.6709796,0.026926303,0.15717469,0.1384913,0.00029245252],"about_ca_topic_score_codex":0.009171507,"about_ca_topic_score_gemma":0.013174641,"teacher_disagreement_score":0.009171507,"about_ca_system_score_codex":0.0014274265,"about_ca_system_score_gemma":0.0037084296,"threshold_uncertainty_score":0.026040494},"labels":[],"label_agreement":null},{"id":"W2027696432","doi":"10.2298/csis0902047m","title":"Model transformations to bridge concrete and abstract syntax of web rule languages","year":2009,"lang":"en","type":"article","venue":"Computer Science and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"Brandenburgische Technische Universität Cottbus-Senftenberg; European Commission; Natural Sciences and Engineering Research Council of Canada; Athabasca University","keywords":"RuleML; Computer science; Semantic Web Rule Language; Programming language; Abstract syntax; Syntax; Abstract syntax tree; Syntax error; XML; Natural language processing; Metamodeling; XML Schema (W3C); Markup language; Artificial intelligence; XHTML; Web service; Document Structure Description; World Wide Web; Web standards; Document type definition; Semantic analytics","score_opus":0.019830146781191167,"score_gpt":0.2589773673314072,"score_spread":0.23914722055021603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027696432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022077453,0.000056707453,0.99379396,0.00022119992,0.000062516716,0.00009788148,0.000072473376,0.0017545593,0.0017329304],"genre_scores_gemma":[0.0636406,0.0002703185,0.9311788,0.00031935403,0.000057565772,0.00048815145,0.00051850465,0.0010619855,0.0024647145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99336046,0.0021370025,0.0008426468,0.00078210956,0.0025993744,0.0002784378],"domain_scores_gemma":[0.9909561,0.003422569,0.00076604245,0.0034246654,0.0012565629,0.00017398187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057592993,0.00097341894,0.0007264173,0.0015896684,0.0009328337,0.0029076943,0.0017699904,0.0013845921,0.0024898683],"category_scores_gemma":[0.0101527525,0.0008836507,0.00254725,0.001061537,0.0022028342,0.005902938,0.0034490498,0.0049519385,0.0011257184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010744272,0.00023946306,0.00094254257,0.00038762303,0.00012862524,0.0005690934,0.0019614624,0.04424895,0.019621626,0.80498,0.0046018995,0.12221139],"study_design_scores_gemma":[0.00013056447,0.00012136913,0.00031774025,0.00024069703,0.00017433091,0.0005104172,0.0003115806,0.26277712,0.062343203,0.49127212,0.18167381,0.00012699014],"about_ca_topic_score_codex":0.0019302295,"about_ca_topic_score_gemma":0.0023418206,"teacher_disagreement_score":0.0057592993,"about_ca_system_score_codex":0.0011090375,"about_ca_system_score_gemma":0.003152308,"threshold_uncertainty_score":0.03045845},"labels":[],"label_agreement":null},{"id":"W202801779","doi":"10.2991/978-94-6239-030-0_12","title":"Procedure Learning as Program Learning","year":2014,"lang":"en","type":"book-chapter","venue":"Atlantis thinking machines","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pyrogenesis (Canada)","funders":"","keywords":"Executable; Computer science; Inference; Artificial intelligence; Programming language","score_opus":0.011151133768113249,"score_gpt":0.25030004907177134,"score_spread":0.2391489153036581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W202801779","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025510828,0.00216356,0.949006,0.0018524254,0.00017452259,0.00007131421,0.00018608046,0.0016609667,0.042334013],"genre_scores_gemma":[0.21498182,0.0056865597,0.71645594,0.0017532599,0.0007835341,0.0004783162,0.0012015111,0.0016196634,0.057039388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985667,0.00048529592,0.000065263135,0.00044608364,0.0003652406,0.0000714748],"domain_scores_gemma":[0.9972796,0.0019200839,0.000087626526,0.00046991234,0.0001878043,0.00005496827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017990564,0.0007721047,0.00048646145,0.0009215978,0.00069697853,0.003184372,0.0019251782,0.0012975384,0.014924264],"category_scores_gemma":[0.0070373123,0.00047952478,0.001012003,0.0012234417,0.004160813,0.007133533,0.0022226316,0.0033342293,0.0035291691],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021523148,0.000026337939,0.00012953556,0.00017478359,0.000014680046,0.000029415683,0.00014330844,0.008814755,0.0005189711,0.887343,0.0062515694,0.09653208],"study_design_scores_gemma":[0.000005988732,0.000008972687,0.00005765097,0.00004547785,0.0000067547426,0.000034688284,0.000017038865,0.023577152,0.0010731447,0.9446725,0.030492514,0.000008058543],"about_ca_topic_score_codex":0.0011300036,"about_ca_topic_score_gemma":0.0012429471,"teacher_disagreement_score":0.014924264,"about_ca_system_score_codex":0.0019534188,"about_ca_system_score_gemma":0.0011725259,"threshold_uncertainty_score":0.04992664},"labels":[],"label_agreement":null},{"id":"W2028692307","doi":"10.1145/2002353.2002366","title":"Visual structured summaries of human conversations","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Conversation; Ontology; Dialog box; Interface (matter); Annotation; Human–computer interaction; Natural language processing; Component (thermodynamics); Modality (human–computer interaction); Dialog system; Artificial intelligence; Information retrieval; World Wide Web; Linguistics","score_opus":0.012117865170947024,"score_gpt":0.2792800861379711,"score_spread":0.2671622209670241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028692307","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.112426184,0.0013248456,0.8091958,0.0012353284,0.0004777176,0.0007529399,0.0089888815,0.039738238,0.02586005],"genre_scores_gemma":[0.47687015,0.00087346585,0.49754235,0.0003728264,0.00030523053,0.00069586886,0.0084366,0.0024087974,0.012494629],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933296,0.00029593526,0.000044363394,0.00012327525,0.00016415797,0.00003936696],"domain_scores_gemma":[0.99703985,0.0019544254,0.00020260658,0.00029109645,0.00034052916,0.00017139236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010447273,0.0011617042,0.0004953022,0.001494905,0.0006564623,0.0016321415,0.0008073854,0.0007301825,0.015813835],"category_scores_gemma":[0.0063751554,0.00023080142,0.0005036113,0.00075740763,0.00039038164,0.0022786518,0.0019568987,0.0005844978,0.0032301836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030332431,0.0002472863,0.0032906549,0.0028018006,0.00014048074,0.0018009759,0.03558039,0.016237212,0.08878695,0.025873536,0.098171815,0.7240357],"study_design_scores_gemma":[0.00046212462,0.0012967114,0.012453957,0.00095092406,0.00029934823,0.002044494,0.016589653,0.16990174,0.062908314,0.09167707,0.64099574,0.00041994423],"about_ca_topic_score_codex":0.0006512437,"about_ca_topic_score_gemma":0.0010789231,"teacher_disagreement_score":0.015813835,"about_ca_system_score_codex":0.00037267926,"about_ca_system_score_gemma":0.00029596896,"threshold_uncertainty_score":0.05290252},"labels":[],"label_agreement":null},{"id":"W2029800544","doi":"10.7202/500871ar","title":"Sémiotique et intelligence artificielle","year":2005,"lang":"fr","type":"article","venue":"Études littéraires","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology","score_opus":0.05499592569561563,"score_gpt":0.3013627211228943,"score_spread":0.24636679542727868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029800544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028375087,0.05280637,0.66575384,0.016914794,0.0021291475,0.00011162958,0.00047506255,0.00066950615,0.23276456],"genre_scores_gemma":[0.6417357,0.043145515,0.21781218,0.0040183403,0.004235263,0.00041002646,0.0017726636,0.00050104904,0.08636938],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9928323,0.0025156327,0.0005421442,0.0008673943,0.0029283033,0.00031414774],"domain_scores_gemma":[0.98991126,0.00694813,0.00037714484,0.0013305073,0.0012231285,0.00020976552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039012858,0.00074615126,0.0015867106,0.002855673,0.0019117004,0.009598313,0.0013292828,0.0031491434,0.0077694673],"category_scores_gemma":[0.011710535,0.00057095615,0.0010207273,0.0038003128,0.009237376,0.012401281,0.0029258428,0.0040317713,0.002055162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016994503,0.000020794438,0.00019223157,0.00017465749,0.000013387054,0.000079677506,0.00032742848,0.0013205982,0.0005574494,0.9679231,0.0023858557,0.026987871],"study_design_scores_gemma":[0.000008872342,0.000011893334,0.00027004076,0.00007764634,0.000007164404,0.00025515523,0.00026254696,0.0046699727,0.0007550583,0.93276983,0.060894527,0.000017285845],"about_ca_topic_score_codex":0.003535616,"about_ca_topic_score_gemma":0.0014076098,"teacher_disagreement_score":0.009598313,"about_ca_system_score_codex":0.0030779804,"about_ca_system_score_gemma":0.0020710584,"threshold_uncertainty_score":0.02599144},"labels":[],"label_agreement":null},{"id":"W2031176957","doi":"10.1109/icsc.2013.79","title":"Application of an Ontology-Based and Rule-Based Model in Electric Power Utilities","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Ontology; Computer science; Process (computing); Common Information Model (electricity); Representation (politics); Electric power; Semantic grid; Semantic integration; Ontology-based data integration; Information model; Software engineering; Electric power system; Semantic Web; Data mining; Power (physics); Information retrieval; Semantic computing; Programming language","score_opus":0.01161162300063173,"score_gpt":0.23395858064252797,"score_spread":0.22234695764189624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031176957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018883822,0.00024838684,0.95325774,0.0018160823,0.000111442634,0.0001440112,0.00023492539,0.00054173416,0.024761904],"genre_scores_gemma":[0.36594808,0.0007395604,0.62305075,0.00034859646,0.00006723946,0.00029541805,0.0006051869,0.00013102923,0.008814126],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876153,0.0005464502,0.00011723969,0.00013614952,0.00038620218,0.000052355987],"domain_scores_gemma":[0.99901175,0.00053371314,0.0000653281,0.00016174105,0.00017973155,0.000047651698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017755183,0.00028171373,0.0003816252,0.0009763216,0.0007499144,0.0032168725,0.0010908492,0.0011179098,0.0020070663],"category_scores_gemma":[0.0032425942,0.00026146238,0.00086332724,0.0013455739,0.0016561814,0.004169965,0.0010942698,0.0010481566,0.000576331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060045906,0.00017289567,0.0008640704,0.00010890093,0.000037658207,0.0006114221,0.00089985796,0.113814086,0.0020899142,0.82396936,0.002372312,0.05499955],"study_design_scores_gemma":[0.00005117909,0.000053526797,0.00047378286,0.00010384646,0.00005646261,0.00019886707,0.0004086927,0.6238849,0.0018619145,0.3261784,0.046692636,0.000035809677],"about_ca_topic_score_codex":0.011600172,"about_ca_topic_score_gemma":0.009395274,"teacher_disagreement_score":0.011600172,"about_ca_system_score_codex":0.0013651237,"about_ca_system_score_gemma":0.002012922,"threshold_uncertainty_score":0.023065269},"labels":[],"label_agreement":null},{"id":"W2031337737","doi":"10.4018/jdm.2008070104","title":"Theories of Meaning in Schema Matching","year":2008,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Schema matching; Schema (genetic algorithms); Computer science; Conceptual schema; Matching (statistics); Database schema; Schema migration; Epistemology; Information retrieval; Data integration; Data mining; Psychology; Semi-structured model; Gender schema theory; Mathematics; Social psychology; Database design; Philosophy","score_opus":0.02531682306142755,"score_gpt":0.2580740934841894,"score_spread":0.23275727042276187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031337737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015279234,0.015898556,0.75455105,0.021567019,0.0009723973,0.00035791637,0.0003361071,0.00039920083,0.19063848],"genre_scores_gemma":[0.47562617,0.017456688,0.47952664,0.0061209267,0.0017211239,0.0014708783,0.0011875784,0.0004094741,0.016480573],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98678094,0.0068707443,0.0011197431,0.0016990529,0.0029037779,0.0006257182],"domain_scores_gemma":[0.98103976,0.013444371,0.0009373218,0.0026912007,0.0014453715,0.0004419061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014123863,0.0011547424,0.0012190773,0.007882761,0.004084284,0.0130589185,0.0034709363,0.0045002806,0.007132331],"category_scores_gemma":[0.03205902,0.0011765547,0.0025719602,0.008632651,0.030604845,0.036460757,0.007163551,0.005634263,0.0015729085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049333944,0.000006248117,0.0001125168,0.000045667777,0.0000072010776,0.000029327472,0.0008865502,0.00031901337,0.000029267485,0.99344337,0.0005484433,0.004567405],"study_design_scores_gemma":[0.000007141942,0.0000048241636,0.00007736142,0.0000630936,0.00000733111,0.000075959666,0.00030981333,0.0009942136,0.00007436526,0.98860955,0.009768323,0.000007986087],"about_ca_topic_score_codex":0.002701586,"about_ca_topic_score_gemma":0.0015926757,"teacher_disagreement_score":0.014123863,"about_ca_system_score_codex":0.004936959,"about_ca_system_score_gemma":0.0035769853,"threshold_uncertainty_score":0.07469499},"labels":[],"label_agreement":null},{"id":"W2031945081","doi":"10.1061/(asce)0733-9364(2005)131:5(591)","title":"Distributed Ontology Architecture for Knowledge Management in Highway Construction","year":2005,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Domain knowledge; Open Knowledge Base Connectivity; Computer science; Knowledge management; Domain (mathematical analysis); Knowledge base; Architecture; Knowledge integration; Knowledge engineering; Knowledge representation and reasoning; Software engineering; Systems engineering; Personal knowledge management; Engineering; World Wide Web; Organizational learning; Artificial intelligence","score_opus":0.007548012099128317,"score_gpt":0.22049472195892794,"score_spread":0.21294670985979963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031945081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018316524,0.00035952462,0.9677215,0.0014765258,0.00004770235,0.00024805366,0.00011402424,0.0011719534,0.010544167],"genre_scores_gemma":[0.28690848,0.00074263016,0.702947,0.00026579612,0.000041954467,0.00048435386,0.0009834266,0.00013691187,0.007489353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99770796,0.000766272,0.00033668304,0.00038226976,0.0006361263,0.00017070175],"domain_scores_gemma":[0.99802834,0.0005894505,0.0001593619,0.00055691105,0.00050982827,0.00015612581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048400527,0.0002879795,0.0004957847,0.0019576931,0.0022656345,0.0051175444,0.0019267127,0.0015393697,0.0015685697],"category_scores_gemma":[0.004683565,0.0004819462,0.0009730023,0.0025551647,0.0021428587,0.0065565235,0.0039827656,0.0016070289,0.00054248323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011016233,0.00026410495,0.0023301148,0.0002458973,0.00011992223,0.00043478835,0.0042261207,0.074791074,0.005391228,0.69280297,0.0064993678,0.2127842],"study_design_scores_gemma":[0.00006663974,0.00005261903,0.0012078647,0.00017523559,0.0001309958,0.00028593512,0.0012841111,0.43899262,0.0045267357,0.44506946,0.10813815,0.0000695799],"about_ca_topic_score_codex":0.01722706,"about_ca_topic_score_gemma":0.023275495,"teacher_disagreement_score":0.01722706,"about_ca_system_score_codex":0.003690408,"about_ca_system_score_gemma":0.00556004,"threshold_uncertainty_score":0.034253538},"labels":[],"label_agreement":null},{"id":"W2031959081","doi":"10.1109/vlhcc.2009.5295284","title":"Using a degree of interest model to facilitate ontology navigation","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Protégé; Ontology; Plug-in; Task (project management); Human–computer interaction; Process ontology; Ontology-based data integration; Upper ontology; Information retrieval; Data science; Software engineering; Domain knowledge; Semantic Web; Programming language","score_opus":0.41564477050461374,"score_gpt":0.3526707339119261,"score_spread":0.06297403659268763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031959081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057501863,0.00010698452,0.98724246,0.00055951887,0.00003099213,0.00011342334,0.00016399185,0.0023769587,0.0036555063],"genre_scores_gemma":[0.20723148,0.00040779045,0.7857266,0.00030817668,0.00004713403,0.00020900734,0.000856475,0.0005441995,0.004669152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966624,0.0012634997,0.00031914428,0.0005293366,0.0010620164,0.00016364154],"domain_scores_gemma":[0.9914725,0.0048940163,0.0005508841,0.001898782,0.0009131994,0.00027062613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005267447,0.0006287645,0.00060326536,0.0019064749,0.0009386452,0.005011799,0.0019336849,0.001731421,0.0033405565],"category_scores_gemma":[0.020984955,0.0007272984,0.0012565085,0.0019045976,0.0010616386,0.010673517,0.0033154988,0.0027991482,0.0017190662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005599681,0.00045544325,0.0066874707,0.0004956559,0.00016043907,0.0009896839,0.0035730954,0.08463921,0.017331865,0.57175505,0.018044021,0.29530814],"study_design_scores_gemma":[0.000077671684,0.00013104729,0.0010363882,0.0001391319,0.000109576,0.0008129663,0.00034054805,0.65151757,0.013134561,0.17096147,0.16163762,0.00010147858],"about_ca_topic_score_codex":0.0049383203,"about_ca_topic_score_gemma":0.013423032,"teacher_disagreement_score":0.005267447,"about_ca_system_score_codex":0.001545604,"about_ca_system_score_gemma":0.0014403379,"threshold_uncertainty_score":0.027857244},"labels":[],"label_agreement":null},{"id":"W2032444218","doi":"10.1007/s10799-007-0017-7","title":"Extracting knowledge from XML document repository: a semantic Web-based approach","year":2007,"lang":"en","type":"article","venue":"Information Technology and Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Semantic Web Stack; Semantic Web Rule Language; Social Semantic Web; Information retrieval; World Wide Web; OWL-S; Semantic analytics; Semantic Web; Data Web; Web page","score_opus":0.007772851444681323,"score_gpt":0.23035529675903368,"score_spread":0.22258244531435237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032444218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03634636,0.0019616322,0.94412285,0.0010214724,0.00014001428,0.0007540448,0.0039016232,0.0054643815,0.006287654],"genre_scores_gemma":[0.13753691,0.0025593247,0.84300774,0.00019729389,0.00008268324,0.00030603877,0.013441027,0.00028083508,0.0025882267],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774265,0.00029721594,0.0004178474,0.0003682094,0.0010253134,0.00014879256],"domain_scores_gemma":[0.99744534,0.0009603902,0.00023097002,0.00053165806,0.0007365934,0.00009507156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016184039,0.0009829024,0.0018087272,0.014347574,0.0014297869,0.004349705,0.0023545744,0.0018968432,0.0021319096],"category_scores_gemma":[0.006036883,0.0006947704,0.0023197709,0.012761434,0.0008390633,0.006107601,0.0021166326,0.0013431133,0.0018394705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031941294,0.0006743306,0.0071261358,0.0014311613,0.00033827935,0.0026554982,0.0012181014,0.008266296,0.023408387,0.019309595,0.010104151,0.92514855],"study_design_scores_gemma":[0.000258019,0.00047791007,0.019247662,0.0019285083,0.0027426365,0.009094484,0.0060751163,0.4641144,0.17421725,0.14300708,0.17832641,0.00051056105],"about_ca_topic_score_codex":0.005358671,"about_ca_topic_score_gemma":0.0057589794,"teacher_disagreement_score":0.014347574,"about_ca_system_score_codex":0.00093112123,"about_ca_system_score_gemma":0.0027454763,"threshold_uncertainty_score":0.010654926},"labels":[],"label_agreement":null},{"id":"W2032533790","doi":"10.1109/icsc.2013.33","title":"An Event Based Denotational Semantics for Natural Language Queries to Data Represented in Triple Stores","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of Windsor","funders":"","keywords":"Computer science; RDF; Denotational semantics; Semantics (computer science); Programming language; Relational database; RDF query language; Denotational semantics of the Actor model; Graph database; Information retrieval; Operational semantics; Semantic Web; Graph; Theoretical computer science; Web search query","score_opus":0.0324803038009761,"score_gpt":0.33778347388593605,"score_spread":0.30530317008495994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032533790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058037164,0.000206345,0.9840168,0.0010183891,0.0002501632,0.00009037778,0.00027602245,0.0007472583,0.0075910445],"genre_scores_gemma":[0.3025395,0.0008734415,0.6841856,0.0009548274,0.00047419316,0.0005958294,0.00088776246,0.00047765826,0.009011203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99669075,0.00092075794,0.0005745149,0.00049600634,0.0010747276,0.00024336865],"domain_scores_gemma":[0.9966336,0.0013966365,0.0002448163,0.000672193,0.0008848561,0.00016781762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036039024,0.00061719597,0.0007272436,0.0017306885,0.001629664,0.005417519,0.0018622999,0.0015350365,0.0045544812],"category_scores_gemma":[0.0067200605,0.00057963247,0.0018083854,0.0017206118,0.0052584196,0.011676495,0.0036694305,0.0023731897,0.001002329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004035425,0.000026577338,0.000121648765,0.00006944631,0.000012273454,0.00022068559,0.0006628885,0.002394454,0.0017514024,0.9850781,0.0013860436,0.008236111],"study_design_scores_gemma":[0.000073061856,0.00008277746,0.00015872996,0.00010291412,0.000051423973,0.0004845524,0.0005404681,0.059621304,0.006494883,0.87819856,0.054114003,0.00007732562],"about_ca_topic_score_codex":0.0023491168,"about_ca_topic_score_gemma":0.0015849438,"teacher_disagreement_score":0.005417519,"about_ca_system_score_codex":0.0014111652,"about_ca_system_score_gemma":0.0016010581,"threshold_uncertainty_score":0.01905948},"labels":[],"label_agreement":null},{"id":"W2032578329","doi":"10.1038/npre.2009.3576.1","title":"MIREOT: the Minimum Information to Reference an External Ontology Term","year":2009,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Computer science; Ontology; Set (abstract data type); Process ontology; Web Ontology Language; Term (time); Upper ontology; Ontology language; Open Biomedical Ontologies; Information retrieval; Mechanism (biology); Ontology components; Resource (disambiguation); Semantic Web; World Wide Web; Data science; Suggested Upper Merged Ontology; Programming language","score_opus":0.019222146902423735,"score_gpt":0.30132951461691376,"score_spread":0.28210736771449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032578329","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01370702,0.00095538463,0.93670046,0.0020461963,0.00042438015,0.0003657072,0.004098073,0.012688418,0.029014325],"genre_scores_gemma":[0.09760544,0.00062760845,0.88032764,0.0008307407,0.00021549675,0.00039491823,0.008448783,0.003321263,0.008228084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9920471,0.00227594,0.0015690326,0.0012237305,0.0024462256,0.00043801224],"domain_scores_gemma":[0.9881904,0.0026927828,0.00097165327,0.005082835,0.0026438711,0.00041858334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007450506,0.000767751,0.0015794053,0.007080011,0.0024840909,0.005798119,0.002841827,0.0028249423,0.009985766],"category_scores_gemma":[0.02927749,0.0010521916,0.0011827862,0.003716006,0.0021542206,0.012402536,0.006602689,0.002704023,0.0075361775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007719436,0.00019669473,0.0032126105,0.0011464369,0.00010451112,0.000853937,0.0020733334,0.0054001063,0.020005994,0.54275125,0.07177653,0.35170656],"study_design_scores_gemma":[0.00008847286,0.0001056886,0.0014486451,0.0012497281,0.00013386359,0.0011171519,0.00054032763,0.03285667,0.04800169,0.24921261,0.66505474,0.00019049055],"about_ca_topic_score_codex":0.0031150484,"about_ca_topic_score_gemma":0.004924534,"teacher_disagreement_score":0.009985766,"about_ca_system_score_codex":0.0017099767,"about_ca_system_score_gemma":0.0024766217,"threshold_uncertainty_score":0.039402485},"labels":[],"label_agreement":null},{"id":"W2032626954","doi":"10.1506/ap.7.4.4","title":"Designing and Implementing an Information System for the Dental Office of Branckowitz &amp; Young","year":2008,"lang":"en","type":"article","venue":"Accounting Perspectives","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Flexibility (engineering); Scope (computer science); Computer science; Service (business); Context (archaeology); Class (philosophy); Resource (disambiguation); Order (exchange); Knowledge management; Process management; Engineering management; Business; Engineering; Marketing; Management","score_opus":0.026042738675291718,"score_gpt":0.2652085343411801,"score_spread":0.23916579566588836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032626954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5667384,0.00066807115,0.15354335,0.016955905,0.00074512797,0.0012626506,0.0003275349,0.0028305196,0.2569284],"genre_scores_gemma":[0.69898736,0.00068349554,0.21119457,0.0009736519,0.000060405942,0.00017705427,0.0002125608,0.00035119324,0.08735966],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977831,0.000747053,0.00016367313,0.00023352777,0.0006892421,0.0003834211],"domain_scores_gemma":[0.9979603,0.00066784094,0.00015395861,0.000231383,0.00026985968,0.0007167129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035685792,0.00024808577,0.0002107106,0.0011825626,0.005260254,0.00498283,0.0011218939,0.0015001511,0.012323012],"category_scores_gemma":[0.004509326,0.00039750838,0.00034959853,0.0008645271,0.0018635873,0.0031353796,0.0028891,0.001142431,0.002434602],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029052063,0.0016366764,0.028519757,0.00041631193,0.000028405186,0.022185301,0.0712452,0.009374906,0.01941793,0.21083394,0.09238275,0.5436683],"study_design_scores_gemma":[0.00008006601,0.00048488373,0.006308743,0.00028619083,0.00003980916,0.005886699,0.039279174,0.014472461,0.01670959,0.011018761,0.90531355,0.00012000639],"about_ca_topic_score_codex":0.009437667,"about_ca_topic_score_gemma":0.015258218,"teacher_disagreement_score":0.012323012,"about_ca_system_score_codex":0.003943953,"about_ca_system_score_gemma":0.0070487144,"threshold_uncertainty_score":0.0412246},"labels":[],"label_agreement":null},{"id":"W2034589153","doi":"10.1111/j.1467-8640.2007.00311.x","title":"THE DATALOG<sup><scp>DL</scp></sup> COMBINATION OF DEDUCTION RULES AND DESCRIPTION LOGICS","year":2007,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research and Productivity Council; University of New Brunswick","funders":"","keywords":"Datalog; Description logic; Computer science; Semantic reasoner; Decidability; Programming language; RuleML; Web Ontology Language; Semantic Web; Semantic Web Rule Language; Parameterized complexity; Theoretical computer science; Ontology language; Artificial intelligence; XML; Algorithm; World Wide Web; Social Semantic Web","score_opus":0.0440552765355806,"score_gpt":0.28390982607287235,"score_spread":0.23985454953729174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034589153","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019777725,0.00054326694,0.98911846,0.0013727598,0.00013521436,0.000075970216,0.00026976864,0.0007140469,0.0057926117],"genre_scores_gemma":[0.089453705,0.0014995254,0.8998596,0.0020097045,0.0003817936,0.00017111217,0.0011931239,0.00047662386,0.0049548633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9937535,0.0017311502,0.00076637923,0.00114169,0.002420653,0.00018666704],"domain_scores_gemma":[0.98819333,0.006093216,0.0006776309,0.0033379076,0.0013869042,0.00031109664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007245917,0.00055214623,0.0007674697,0.001748841,0.0008950155,0.005331798,0.002702406,0.0012142672,0.0028459218],"category_scores_gemma":[0.010231861,0.0010841102,0.0018834003,0.0022340487,0.0043959455,0.008955112,0.00372353,0.0036205961,0.0014035733],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006282839,0.00008087074,0.00096285046,0.00044255925,0.000076655575,0.00039100103,0.00037295048,0.0051700915,0.004485539,0.83117336,0.007721551,0.14905982],"study_design_scores_gemma":[0.000040546012,0.000072805204,0.00044250005,0.00020819461,0.00009384693,0.0011139769,0.0001616157,0.073767915,0.014864604,0.72420335,0.18496656,0.00006420871],"about_ca_topic_score_codex":0.002809023,"about_ca_topic_score_gemma":0.002894348,"teacher_disagreement_score":0.007245917,"about_ca_system_score_codex":0.0015224012,"about_ca_system_score_gemma":0.0023452009,"threshold_uncertainty_score":0.03832048},"labels":[],"label_agreement":null},{"id":"W2034750068","doi":"10.4018/jdm.2007010102","title":"A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web","year":2007,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Computer science; Ontology; Semantic Web; Semantic analytics; Upper ontology; Information retrieval; Open Biomedical Ontologies; Ontology-based data integration; OWL-S; Process ontology; Domain (mathematical analysis); Generality; Social Semantic Web; Ontology alignment; World Wide Web","score_opus":0.045057476519575736,"score_gpt":0.28853612742857937,"score_spread":0.24347865090900364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034750068","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002243431,0.00026569926,0.9829769,0.0017997059,0.00021768376,0.00043172328,0.000645419,0.0012766554,0.010142785],"genre_scores_gemma":[0.045238324,0.0010244878,0.945045,0.0008102634,0.00017775715,0.0008507358,0.0020854373,0.0005170298,0.0042509055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9930084,0.0015223584,0.0015301332,0.00097320706,0.0026185557,0.0003473586],"domain_scores_gemma":[0.9931793,0.0020583947,0.00064361235,0.0018543574,0.0019041653,0.00036015926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008685375,0.0009978347,0.001138218,0.0054706107,0.0034814517,0.0063236607,0.0028048095,0.0027352166,0.0026408639],"category_scores_gemma":[0.013025645,0.0010029873,0.0031681438,0.0061224853,0.0038265425,0.01658921,0.0046859705,0.0055857548,0.0011968884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001649939,0.000060250008,0.00076534384,0.0001798107,0.000038565857,0.00026177254,0.0009628035,0.0039690747,0.0017721616,0.94330025,0.007307689,0.041365717],"study_design_scores_gemma":[0.000024342742,0.000028895127,0.0011234687,0.00037492177,0.00007565171,0.00071284914,0.000852662,0.050437707,0.003171066,0.56375885,0.37933517,0.000104398365],"about_ca_topic_score_codex":0.014573495,"about_ca_topic_score_gemma":0.0124123525,"teacher_disagreement_score":0.014573495,"about_ca_system_score_codex":0.0033780956,"about_ca_system_score_gemma":0.007959803,"threshold_uncertainty_score":0.045933247},"labels":[],"label_agreement":null},{"id":"W2035043199","doi":"10.1007/s10849-008-9078-1","title":"Designing Visual Languages for Description Logics","year":2008,"lang":"en","type":"article","venue":"Journal of Logic Language and Information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Rotation formalisms in three dimensions; Inference; Knowledge representation and reasoning; Artificial intelligence; Description logic; Automated reasoning; Representation (politics); Theoretical computer science; Natural language processing; Programming language; Cognitive science; Mathematics","score_opus":0.02768336052165234,"score_gpt":0.2751371319562057,"score_spread":0.24745377143455335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035043199","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040080347,0.00017370124,0.99195004,0.0005505997,0.000039319293,0.00014617697,0.00012007116,0.0010322278,0.0019797925],"genre_scores_gemma":[0.05654921,0.00042417174,0.9388965,0.00024371238,0.00003769516,0.00026950377,0.00062895776,0.0007925304,0.0021577622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99627554,0.0016440088,0.0005405547,0.0004422735,0.00075033354,0.00034730838],"domain_scores_gemma":[0.99263614,0.004685691,0.00039904428,0.0011330562,0.00075836456,0.0003877828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008403686,0.0010506104,0.000845672,0.001981752,0.001724239,0.008166767,0.0039005633,0.0019531623,0.00621345],"category_scores_gemma":[0.013708936,0.0028535652,0.0030057556,0.0014983567,0.003709344,0.012045349,0.0051768976,0.004268435,0.0013200408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016466733,0.00016127554,0.00079033046,0.0008751223,0.00012614542,0.0002964993,0.0035035652,0.022618549,0.009025573,0.8271298,0.0083737215,0.12693478],"study_design_scores_gemma":[0.00018052099,0.00009004019,0.00014287415,0.0005009889,0.0001489488,0.0001877433,0.0016770537,0.122873664,0.016984725,0.781913,0.075210154,0.000090338486],"about_ca_topic_score_codex":0.0038427864,"about_ca_topic_score_gemma":0.0062215105,"teacher_disagreement_score":0.008403686,"about_ca_system_score_codex":0.0020606744,"about_ca_system_score_gemma":0.0021580153,"threshold_uncertainty_score":0.044443488},"labels":[],"label_agreement":null},{"id":"W2036382113","doi":"10.1007/s007990000036","title":"On Z39.50 wrapping and description logics","year":2000,"lang":"en","type":"article","venue":"International Journal on Digital Libraries","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Computer science; Information retrieval; Metadata; Query language; Database; Semantics (computer science); World Wide Web; Protocol (science); Programming language","score_opus":0.022741828579053328,"score_gpt":0.2290437351356132,"score_spread":0.2063019065565599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036382113","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014371868,0.0024880304,0.89652175,0.0034940229,0.00042119704,0.0002750038,0.0022646098,0.009008489,0.071155034],"genre_scores_gemma":[0.22148922,0.004937844,0.6826707,0.0030591018,0.00036812373,0.00053989986,0.011796182,0.0041233646,0.07101546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99724007,0.0008820874,0.00028386974,0.0003587086,0.00093726744,0.00029799438],"domain_scores_gemma":[0.9978235,0.00102999,0.00009122913,0.00068501773,0.0003042822,0.000065980275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032054286,0.0010138984,0.0008886949,0.0027984562,0.0016747102,0.0054179505,0.0018766364,0.0011398228,0.022600038],"category_scores_gemma":[0.007113419,0.0009721132,0.0025535307,0.0038750023,0.00154729,0.010265651,0.0044826847,0.0023019384,0.0074041034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018105362,0.00010049905,0.00031859986,0.00018628727,0.000046493806,0.00019522478,0.00031867702,0.0046715927,0.0012976095,0.7987217,0.0201091,0.17385326],"study_design_scores_gemma":[0.000041829575,0.000020228541,0.00022738343,0.0001534285,0.00006235097,0.00015422524,0.00013672879,0.022207355,0.0023879712,0.8515967,0.12298067,0.000031173393],"about_ca_topic_score_codex":0.011266255,"about_ca_topic_score_gemma":0.009961983,"teacher_disagreement_score":0.022600038,"about_ca_system_score_codex":0.002869731,"about_ca_system_score_gemma":0.0017496811,"threshold_uncertainty_score":0.07560462},"labels":[],"label_agreement":null},{"id":"W2036693109","doi":"10.1145/1255175.1255238","title":"Static reformulation","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hypertext; Computer science; Information retrieval; Similarity (geometry); Variety (cybernetics); Semantic similarity; Digital library; World Wide Web; Artificial intelligence","score_opus":0.014825460814145531,"score_gpt":0.2688654591490053,"score_spread":0.25403999833485974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036693109","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31378028,0.0028540131,0.5221131,0.0020849106,0.00048239506,0.0017455852,0.005595414,0.018767176,0.13257714],"genre_scores_gemma":[0.77253336,0.0011318505,0.18568194,0.0007628324,0.00020676703,0.0005075108,0.0065148594,0.0013576554,0.031303186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754995,0.0009078728,0.00018536746,0.00041329427,0.0007930556,0.00015049212],"domain_scores_gemma":[0.99459994,0.0014261713,0.00044898604,0.0020415054,0.0013734878,0.00010997284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010896827,0.0006918204,0.0007256745,0.0014548752,0.0007048045,0.0021268073,0.0014468583,0.0012475835,0.017321087],"category_scores_gemma":[0.01104071,0.00027497194,0.00072797516,0.0016776058,0.0012305558,0.0044090208,0.0020490405,0.0009509963,0.0053893887],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013195495,0.0010257046,0.0052958806,0.0020333165,0.000144622,0.0010787016,0.004848131,0.028159443,0.08064337,0.21498103,0.040257014,0.62021327],"study_design_scores_gemma":[0.00030031198,0.0018966665,0.008371319,0.00041689057,0.00040895233,0.0026214954,0.003166835,0.15861611,0.17674029,0.111348204,0.5358276,0.00028537444],"about_ca_topic_score_codex":0.0019445735,"about_ca_topic_score_gemma":0.0013936782,"teacher_disagreement_score":0.017321087,"about_ca_system_score_codex":0.0012215257,"about_ca_system_score_gemma":0.0011766533,"threshold_uncertainty_score":0.057944775},"labels":[],"label_agreement":null},{"id":"W2036903287","doi":"10.4237/gtp.v4i2.103","title":"E-CITY KNOWWARE: KNOWLEDGE MIDDLEWARE FOR COORDINATED MANAGEMENT OF SUSTAINABLE CITIES","year":2009,"lang":"en","type":"article","venue":"Gestão & Tecnologia de Projetos","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Geospatial analysis; Workflow; Knowledge management; Middleware (distributed applications); Smart city; Exploit; Process (computing); Domain knowledge; Cloud computing; Semantic Web; World Wide Web; Data science; Computer security; Database","score_opus":0.025506317346676265,"score_gpt":0.27945831088042766,"score_spread":0.2539519935337514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036903287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020008927,0.0012550913,0.8509273,0.0034065254,0.00063879363,0.00036996938,0.0011228195,0.06578949,0.0564811],"genre_scores_gemma":[0.47402605,0.0024428125,0.4564346,0.002190947,0.00043920812,0.00056838675,0.007932357,0.0051557794,0.050809804],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998872,0.00018727561,0.00012547706,0.00024265167,0.00036022248,0.00021234933],"domain_scores_gemma":[0.99857044,0.0002582581,0.0001221804,0.0005670449,0.00021487322,0.0002672542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018884409,0.0007538052,0.0007287872,0.0015813509,0.0014299932,0.007246105,0.002829603,0.002679172,0.008357739],"category_scores_gemma":[0.0035610942,0.00056225446,0.00072817015,0.0017037685,0.0010038409,0.009932367,0.0063349614,0.0021168513,0.0035538445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005142673,0.0005671974,0.003768425,0.0012387603,0.00030879956,0.0012999137,0.0039325524,0.034422103,0.021908036,0.274902,0.102652185,0.5544858],"study_design_scores_gemma":[0.000104677856,0.00015583288,0.0026042443,0.0003408017,0.00015284083,0.0005091059,0.00148698,0.17045426,0.026745254,0.16067547,0.6365391,0.00023142743],"about_ca_topic_score_codex":0.0029470592,"about_ca_topic_score_gemma":0.0033577194,"teacher_disagreement_score":0.008357739,"about_ca_system_score_codex":0.0013267361,"about_ca_system_score_gemma":0.0027586939,"threshold_uncertainty_score":0.027959406},"labels":[],"label_agreement":null},{"id":"W2040241347","doi":"10.1016/j.jal.2010.08.009","title":"Algebraic tableau reasoning for the description logic <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"> <mml:mi mathvariant=\"script\">SHOQ</mml:mi> </mml:math>","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Algebraic number; Artificial intelligence; Mathematics; Algorithm; Computer science; Calculus (dental); Algebra over a field; Pure mathematics; Mathematical analysis","score_opus":0.024457511496039357,"score_gpt":0.24210826052528778,"score_spread":0.2176507490292484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040241347","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009368334,0.0003948785,0.9517935,0.0025000088,0.00020286902,0.00024295461,0.0031660008,0.002381077,0.029950464],"genre_scores_gemma":[0.23795205,0.0008084677,0.73186207,0.0008127333,0.00021759863,0.00036411438,0.006559689,0.00074799213,0.020675398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99701345,0.0008700812,0.0004048965,0.00043790776,0.0010555359,0.00021810275],"domain_scores_gemma":[0.9938245,0.003963636,0.00024727097,0.00068540726,0.0010837759,0.0001954111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038869127,0.0007175253,0.00077507814,0.002453594,0.002627368,0.00661403,0.002656222,0.0015797655,0.025021063],"category_scores_gemma":[0.011847754,0.0010413835,0.0033285695,0.002248382,0.0027448626,0.011249328,0.0034683298,0.002972687,0.003579692],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060486756,0.000054660817,0.00035413168,0.00023150841,0.000033822445,0.00018100736,0.0003864198,0.0055751214,0.00082702923,0.96017134,0.008946016,0.02317845],"study_design_scores_gemma":[0.000045317764,0.000015577536,0.00012243232,0.00008598489,0.000059231847,0.00014105803,0.00022305059,0.055940874,0.0026836486,0.91337484,0.027273735,0.000034161905],"about_ca_topic_score_codex":0.014343137,"about_ca_topic_score_gemma":0.024433311,"teacher_disagreement_score":0.025021063,"about_ca_system_score_codex":0.004544828,"about_ca_system_score_gemma":0.0036349038,"threshold_uncertainty_score":0.083703816},"labels":[],"label_agreement":null},{"id":"W2040663698","doi":"10.3166/ria.29.47-81","title":"Représentation et vérification d’un environnement intelligent à partir de spécifications utilisateur en langage naturel","year":2015,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Computer science; Artificial intelligence","score_opus":0.10749049975932244,"score_gpt":0.3352456520941789,"score_spread":0.22775515233485644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040663698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07139193,0.0008848284,0.89963347,0.0011185408,0.00025549662,0.000057938854,0.00026168005,0.003117892,0.023278303],"genre_scores_gemma":[0.4384986,0.0013846885,0.5057258,0.00027555457,0.0002566834,0.00011790972,0.0012073534,0.0011713437,0.05136207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829894,0.00047202548,0.00010279196,0.00037703905,0.0006370752,0.00011210844],"domain_scores_gemma":[0.99824035,0.0007299761,0.00011517001,0.00043282416,0.00041541015,0.000066256325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017874899,0.000692251,0.0004657666,0.001462984,0.0010925173,0.0065315594,0.0007310542,0.0014572996,0.0037084897],"category_scores_gemma":[0.003997211,0.00054691103,0.0011836427,0.0010683867,0.0024746433,0.0053968243,0.0014180067,0.0014073678,0.0015167942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005195249,0.00020527776,0.0058298777,0.00048936903,0.00014829358,0.0015466964,0.008600026,0.07833247,0.05930882,0.5398152,0.010462733,0.29474166],"study_design_scores_gemma":[0.00007935121,0.00018650871,0.004201438,0.00022591869,0.00019195057,0.0009303912,0.0021607913,0.3963067,0.059928812,0.22733659,0.3082965,0.00015508353],"about_ca_topic_score_codex":0.012210065,"about_ca_topic_score_gemma":0.008505177,"teacher_disagreement_score":0.012210065,"about_ca_system_score_codex":0.0017424703,"about_ca_system_score_gemma":0.001114158,"threshold_uncertainty_score":0.024277985},"labels":[],"label_agreement":null},{"id":"W2041352574","doi":"10.1007/s00038-007-0236-z","title":"Strobe and the standardisation of scientific practice","year":2008,"lang":"en","type":"article","venue":"Sozial- und Präventivmedizin","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Public health; Environmental health; MEDLINE; Medicine; Risk analysis (engineering); Political science; Nursing","score_opus":0.02431291262779923,"score_gpt":0.2865026792104454,"score_spread":0.2621897665826462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041352574","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017014924,0.028057564,0.1836745,0.5529868,0.012851135,0.0005742214,0.0002581383,0.0008991745,0.20368353],"genre_scores_gemma":[0.726355,0.012321313,0.1533326,0.07194553,0.008834033,0.0018804875,0.00048777368,0.0010753779,0.023767937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.65748113,0.22337444,0.030220687,0.028954407,0.053436622,0.0065326598],"domain_scores_gemma":[0.512263,0.27304614,0.031065281,0.11819239,0.055745553,0.009687716],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.29511964,0.00122756,0.0032296237,0.013409961,0.008313538,0.025463747,0.007640383,0.016971264,0.0066153267],"category_scores_gemma":[0.3863262,0.0017918957,0.0023113063,0.0076325317,0.07998375,0.034701053,0.022552915,0.017636662,0.00195493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034523277,0.000040069666,0.0004854572,0.00026201116,0.000054917175,0.00004464764,0.004686963,0.00047480097,0.00016073634,0.9594402,0.0062928544,0.028022913],"study_design_scores_gemma":[0.00005071058,0.0000329139,0.0006816989,0.0006724945,0.000022356118,0.000050194165,0.0012918946,0.00035609308,0.0002422321,0.9201893,0.07636677,0.00004328539],"about_ca_topic_score_codex":0.0055128024,"about_ca_topic_score_gemma":0.004235791,"teacher_disagreement_score":0.70488036,"about_ca_system_score_codex":0.017431218,"about_ca_system_score_gemma":0.03997786,"threshold_uncertainty_score":0.86924297},"labels":[],"label_agreement":null},{"id":"W2041423056","doi":"10.7152/nasko.v2i1.12808","title":"Tensions Between Language and Discourse in North American Knowledge Organization","year":2011,"lang":"en","type":"article","venue":"NASKO","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Focus (optics); Politics; Set (abstract data type); Sociology; Globalization; Linguistics; Political science; Epistemology; Computer science","score_opus":0.02971555672334059,"score_gpt":0.27817501163069347,"score_spread":0.24845945490735288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041423056","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29227483,0.023395987,0.014858679,0.117612556,0.00040104962,0.000045020646,0.000055815934,0.00007598934,0.55128014],"genre_scores_gemma":[0.9904676,0.0017993511,0.0011915623,0.0020511232,0.0001219121,0.000046359713,0.000015890322,0.000028108854,0.004278072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9832048,0.012039073,0.0004336319,0.0010355867,0.002024757,0.0012621569],"domain_scores_gemma":[0.98576754,0.010879213,0.0010808024,0.0005121998,0.0012325065,0.00052781944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013171218,0.00029182152,0.0004576657,0.0043797637,0.018529689,0.013722604,0.0013973622,0.0025245815,0.0025215275],"category_scores_gemma":[0.01306142,0.0004695891,0.00028640535,0.0051282346,0.0419995,0.01387741,0.010028193,0.0035961457,0.00027183772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001727312,0.000009471842,0.00056946446,0.00005253327,0.000004438914,0.00010608026,0.31299722,0.00007802973,0.00015412463,0.6736779,0.0014782475,0.010855079],"study_design_scores_gemma":[0.000024543664,0.00002603194,0.004206522,0.0005296957,0.000019767052,0.00020714459,0.39029783,0.0006108295,0.00041907097,0.3503434,0.2532381,0.00007706178],"about_ca_topic_score_codex":0.04456842,"about_ca_topic_score_gemma":0.049211994,"teacher_disagreement_score":0.04456842,"about_ca_system_score_codex":0.014359864,"about_ca_system_score_gemma":0.0078588035,"threshold_uncertainty_score":0.10418856},"labels":[],"label_agreement":null},{"id":"W2043030433","doi":"10.1007/s10799-004-7776-1","title":"Exploiting the Small-Worlds of the Semantic Web to Connect Heterogeneous, Local Ontologies","year":2005,"lang":"en","type":"article","venue":"Information Technology and Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; World Wide Web; Hyperlink; Semantic Web; Ontology components; Ontology; Information retrieval; Semantics (computer science); Linked data; Semantic Web Stack; OWL-S; Web page; Programming language","score_opus":0.010404408290451063,"score_gpt":0.2151533254978153,"score_spread":0.20474891720736424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043030433","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017385809,0.00060970325,0.95368147,0.0016574946,0.00014746752,0.00013416995,0.00010212087,0.0007682959,0.02551358],"genre_scores_gemma":[0.4296798,0.0015987699,0.5583237,0.00062292744,0.000194167,0.00031517108,0.00059989555,0.00051593344,0.008149695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965522,0.0019596373,0.00019592764,0.00042867791,0.00069115736,0.00017236143],"domain_scores_gemma":[0.9908212,0.005164485,0.0004517523,0.0025916963,0.0005039656,0.00046687276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004625552,0.0006986058,0.0007121734,0.003041102,0.002678954,0.010036376,0.0017577711,0.0018963062,0.0055401805],"category_scores_gemma":[0.018417554,0.0009945324,0.0013710721,0.0033998357,0.0063979737,0.02721254,0.012906936,0.0036795838,0.0014234018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073496165,0.00008254181,0.0009247313,0.00013403584,0.0000761771,0.00041847394,0.002843759,0.0060052625,0.0030683684,0.93382233,0.0030746034,0.049476348],"study_design_scores_gemma":[0.000022995324,0.000021871658,0.00022039172,0.00007750043,0.000053679854,0.00019302803,0.00095724675,0.048816454,0.0024740559,0.9054941,0.04163907,0.00002955312],"about_ca_topic_score_codex":0.0032389883,"about_ca_topic_score_gemma":0.004606162,"teacher_disagreement_score":0.010036376,"about_ca_system_score_codex":0.00094289845,"about_ca_system_score_gemma":0.0016901329,"threshold_uncertainty_score":0.02446258},"labels":[],"label_agreement":null},{"id":"W2043554371","doi":"10.1007/s10009-006-0002-1","title":"MDA-based Automatic OWL Ontology Development","year":2006,"lang":"en","type":"article","venue":"International Journal on Software Tools for Technology Transfer","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; OWL-S; Metamodeling; Process ontology; Ontology; Ontology Inference Layer; Programming language; Ontology-based data integration; Web Ontology Language; Upper ontology; Suggested Upper Merged Ontology; Software engineering; Semantic Web; Information retrieval; Semantic Web Stack","score_opus":0.019955196436883507,"score_gpt":0.26467455785269395,"score_spread":0.24471936141581044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043554371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014356248,0.000052649764,0.96574366,0.000114244736,0.000049079663,0.00016141633,0.00024445137,0.015706271,0.003572033],"genre_scores_gemma":[0.14636222,0.00011677622,0.8470839,0.00009757325,0.000010328039,0.00018331574,0.0017815088,0.0018441455,0.0025201794],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988747,0.00032023754,0.000102628044,0.00013167551,0.0004800651,0.00009059735],"domain_scores_gemma":[0.9977041,0.0007875596,0.00013106657,0.00069530803,0.0006236976,0.000058323007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018058384,0.00046959004,0.00041236606,0.0014568834,0.00070381147,0.0014624288,0.00091784634,0.00055110175,0.0041095936],"category_scores_gemma":[0.0053693,0.00073485676,0.0008884438,0.0006853492,0.00037590953,0.0020743022,0.001476923,0.0012171627,0.0015116725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022070849,0.00057937513,0.0049810144,0.0004061452,0.00020166193,0.0006911676,0.0011218308,0.026211705,0.05946535,0.05015914,0.02451864,0.83144325],"study_design_scores_gemma":[0.00008905292,0.000093786955,0.0025723863,0.00016142312,0.00019069036,0.0006851403,0.00047359316,0.7888246,0.09760129,0.037424557,0.07181332,0.000070083064],"about_ca_topic_score_codex":0.00381577,"about_ca_topic_score_gemma":0.005791586,"teacher_disagreement_score":0.0041095936,"about_ca_system_score_codex":0.0005300587,"about_ca_system_score_gemma":0.0016561073,"threshold_uncertainty_score":0.0137479305},"labels":[],"label_agreement":null},{"id":"W2043640532","doi":"10.1016/j.datak.2004.12.009","title":"Complexity and clarity in conceptual modeling: Comparison of mandatory and optional properties","year":2005,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":239,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"CLARITY; Computer science; Grammar; Cognitive psychology; Natural language processing; Rule-based machine translation; Domain (mathematical analysis); Domain model; Linguistics; Psychology; Artificial intelligence; Domain knowledge; Mathematics","score_opus":0.20680406000893842,"score_gpt":0.32137278644686057,"score_spread":0.11456872643792215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043640532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27978545,0.0017925475,0.691824,0.003411695,0.00015923358,0.00030022842,0.0005127535,0.00054487406,0.02166927],"genre_scores_gemma":[0.91300386,0.0005467187,0.08490016,0.00013762969,0.00009648815,0.0001423402,0.00044410504,0.00018911617,0.0005396481],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9672541,0.01738322,0.002984583,0.0014048365,0.009811774,0.001161466],"domain_scores_gemma":[0.64662063,0.29165712,0.016802039,0.026005566,0.01604778,0.0028668272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033827644,0.0006411945,0.001116196,0.005034317,0.0019702164,0.008770312,0.0023377659,0.002362881,0.0034733897],"category_scores_gemma":[0.19015947,0.0012704633,0.0028839002,0.0028487486,0.0062864185,0.031019215,0.0052356417,0.0031492198,0.0003575285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083827757,0.00017106756,0.017180722,0.0007463022,0.00023865925,0.0002174487,0.0068275672,0.022756698,0.0036507451,0.88019687,0.0018371355,0.06533858],"study_design_scores_gemma":[0.00010748838,0.00022146276,0.008904579,0.00042598372,0.00036297468,0.0003620112,0.0018703901,0.15590507,0.0059980825,0.8202013,0.005505945,0.00013476469],"about_ca_topic_score_codex":0.0019387964,"about_ca_topic_score_gemma":0.0018489452,"teacher_disagreement_score":0.033827644,"about_ca_system_score_codex":0.0027856736,"about_ca_system_score_gemma":0.0027262915,"threshold_uncertainty_score":0.17889982},"labels":[],"label_agreement":null},{"id":"W2043921433","doi":"10.1109/bibe.2008.4696848","title":"Ontology-inferred phylogeny reconstruction for analyzing the evolutionary relationships between species: Ontological inference versus cladistics","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cladistics; Ontology; Inference; Phylogenetics; Formalism (music); Computer science; Evolutionary biology; Artificial intelligence; Biology; Epistemology; Philosophy","score_opus":0.20995783951680752,"score_gpt":0.3099658173295183,"score_spread":0.10000797781271076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043921433","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04739748,0.00005446371,0.9511169,0.00016412023,0.000011094074,0.000042613312,0.000112278074,0.00025480086,0.00084618444],"genre_scores_gemma":[0.35453126,0.00011033468,0.6442706,0.00008521484,0.000008590526,0.000086481356,0.0004597978,0.0001064495,0.0003413216],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857473,0.0007583874,0.00013541529,0.00014295397,0.00028977057,0.00009876752],"domain_scores_gemma":[0.9929101,0.0045511955,0.0005410632,0.0011038498,0.0006386376,0.00025510238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005070187,0.0003511228,0.00048473838,0.0040202476,0.0012670447,0.0019460743,0.0011182214,0.0009241214,0.0013321659],"category_scores_gemma":[0.01560029,0.0003918671,0.0009930814,0.0018363862,0.0013592488,0.0034583188,0.0016738,0.00096760807,0.00028802123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033134792,0.00046456678,0.05089248,0.00051998603,0.00024862506,0.0006534413,0.0042774784,0.21736403,0.049266186,0.3218697,0.0014944318,0.35261768],"study_design_scores_gemma":[0.00002143497,0.000040545445,0.003958548,0.000070573726,0.00005291841,0.00025009367,0.00038715472,0.8751097,0.006692957,0.11099416,0.0023813376,0.00004068193],"about_ca_topic_score_codex":0.0030418455,"about_ca_topic_score_gemma":0.0033944615,"teacher_disagreement_score":0.005070187,"about_ca_system_score_codex":0.0011014359,"about_ca_system_score_gemma":0.0020432966,"threshold_uncertainty_score":0.026814044},"labels":[],"label_agreement":null},{"id":"W2044693322","doi":"10.3166/ria.22.647-667","title":"Representing and Manipulating Situation Hierarchies using Situation Lattices","year":2008,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Cognitive science; Psychology; Cognitive psychology; Epistemology; Philosophy","score_opus":0.12430066151864819,"score_gpt":0.3095872695800489,"score_spread":0.1852866080614007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044693322","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015553058,0.0003210802,0.9735502,0.00062457804,0.00007324504,0.0002632383,0.0012183398,0.0029148706,0.0054814545],"genre_scores_gemma":[0.12489038,0.00036835074,0.87098044,0.00012718259,0.000028081704,0.00029144777,0.0017670393,0.0003136712,0.0012333257],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99532276,0.0020927002,0.000610576,0.00075909327,0.0010275654,0.00018734804],"domain_scores_gemma":[0.9920197,0.0048303297,0.0006254516,0.0015835798,0.00058989605,0.00035108282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004923244,0.0010973508,0.0008622516,0.004209861,0.0021681737,0.0068303216,0.0019646594,0.00092405314,0.005600048],"category_scores_gemma":[0.017373042,0.0009214806,0.002186014,0.003117177,0.0026542395,0.011587276,0.0069512865,0.002940019,0.0011101839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029576852,0.0002817472,0.005657674,0.00092418096,0.0001676828,0.0008044492,0.011888788,0.0893553,0.009249248,0.5278478,0.0129185915,0.34060872],"study_design_scores_gemma":[0.00007456826,0.00006205955,0.0009665356,0.00030058977,0.000094389055,0.0003581059,0.003213347,0.33368936,0.007835119,0.5688588,0.08439339,0.00015374542],"about_ca_topic_score_codex":0.007888252,"about_ca_topic_score_gemma":0.014080948,"teacher_disagreement_score":0.007888252,"about_ca_system_score_codex":0.0017766267,"about_ca_system_score_gemma":0.0024758442,"threshold_uncertainty_score":0.026036918},"labels":[],"label_agreement":null},{"id":"W2046610654","doi":"10.3166/jds.10.195-215","title":"From Computation to Knowledge Management: The Changing Paradigm of Decision Support for Meteorological Forecasting","year":2001,"lang":"en","type":"article","venue":"Journal of Decision System","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Memorial University of Newfoundland; Australian Research Council; Monash University","keywords":"Computer science; Tacit knowledge; Process (computing); Decision support system; Knowledge management; Task (project management); Technology forecasting; Data science; Artificial intelligence; Systems engineering","score_opus":0.06742003633167036,"score_gpt":0.3230359939612603,"score_spread":0.25561595762958994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046610654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02471293,0.023655834,0.7853093,0.106528714,0.0010198642,0.00015389718,0.00025593396,0.00048868376,0.05787489],"genre_scores_gemma":[0.5606842,0.021347197,0.40315676,0.005823885,0.0017814392,0.00030060599,0.00040440695,0.00016081963,0.00634066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957742,0.002092324,0.00027154144,0.0005257524,0.0010758205,0.0002603486],"domain_scores_gemma":[0.9950539,0.0032501463,0.00026226975,0.00066700566,0.0003956033,0.0003710154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005156474,0.0005487355,0.00081985036,0.0022549252,0.0016275978,0.01061724,0.0022266516,0.0028064102,0.0018106522],"category_scores_gemma":[0.008161172,0.0003862482,0.0010496336,0.003552646,0.009205911,0.015763514,0.004689884,0.003960097,0.0006258499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052500334,0.00007568005,0.00074541493,0.0005303403,0.00006561747,0.00020861623,0.001705077,0.008269006,0.0007876211,0.8741888,0.005882008,0.10748933],"study_design_scores_gemma":[0.000015879366,0.000019346275,0.00024551386,0.00023906838,0.000023785275,0.00008696493,0.00079953915,0.021731999,0.0005224583,0.9310946,0.045190062,0.000030805717],"about_ca_topic_score_codex":0.0047033047,"about_ca_topic_score_gemma":0.0035411438,"teacher_disagreement_score":0.01061724,"about_ca_system_score_codex":0.003260738,"about_ca_system_score_gemma":0.004559586,"threshold_uncertainty_score":0.027270377},"labels":[],"label_agreement":null},{"id":"W2046943275","doi":"10.1007/s10115-012-0524-7","title":"Common understanding in a multi-agent system using ontology-guided learning","year":2012,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Western University","funders":"","keywords":"Computer science; Ontology; Flexibility (engineering); Set (abstract data type); Process (computing); Multi-agent system; Intelligent agent; Common knowledge (logic); Autonomous agent; Artificial intelligence; Human–computer interaction; Description logic; Epistemic modal logic","score_opus":0.13382357076986137,"score_gpt":0.31820717832592593,"score_spread":0.18438360755606456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046943275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069348805,0.00007775679,0.92222244,0.0008765716,0.000022739907,0.00017179322,0.00005630501,0.0006910654,0.0065326416],"genre_scores_gemma":[0.63246363,0.00008744317,0.36379972,0.00014324284,0.000015640066,0.00018508542,0.00019901547,0.00009318741,0.0030130087],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797016,0.000742085,0.0002162585,0.00046462036,0.0004344403,0.0001723111],"domain_scores_gemma":[0.9964631,0.0019290365,0.00026948,0.0005921562,0.00050221646,0.00024399809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034602997,0.00054487144,0.0010353413,0.0013350791,0.0026584957,0.0040749554,0.0025025345,0.0022272577,0.0029199854],"category_scores_gemma":[0.009144153,0.0005997502,0.0014415297,0.00091654423,0.002492952,0.009201942,0.0055638,0.0022174455,0.00041462985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072711817,0.0012015565,0.00881041,0.0003370112,0.000411869,0.001279129,0.011010722,0.353501,0.010764312,0.35755903,0.0032648724,0.251133],"study_design_scores_gemma":[0.000054277905,0.000077271834,0.0005091573,0.00003964355,0.000101102625,0.000103472375,0.0008294621,0.8216052,0.0038112162,0.16892043,0.003903798,0.000044999208],"about_ca_topic_score_codex":0.012789729,"about_ca_topic_score_gemma":0.01481305,"teacher_disagreement_score":0.012789729,"about_ca_system_score_codex":0.0016936281,"about_ca_system_score_gemma":0.0032345455,"threshold_uncertainty_score":0.02543056},"labels":[],"label_agreement":null},{"id":"W2047012610","doi":"10.1075/pc.13.3.06har","title":"Distributed processes, distributed cognizers, and collaborative cognition","year":2005,"lang":"en","type":"article","venue":"Pragmatics & Cognition","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cognition; Socially distributed cognition; Feeling; Cognitive science; Thinking processes; Process (computing); Need for cognition; Test (biology); Computer science; Turing test; Psychology; Cognitive psychology; Social psychology; Artificial intelligence","score_opus":0.013068579044466282,"score_gpt":0.2520850149167202,"score_spread":0.2390164358722539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047012610","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14977422,0.017983064,0.321198,0.026542883,0.0005367703,0.00022005715,0.0001081021,0.0006116894,0.48302522],"genre_scores_gemma":[0.95961446,0.0022809624,0.027575538,0.0007568346,0.0003631195,0.0001771591,0.000053665048,0.000062796345,0.009115493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99550027,0.0021332768,0.00018149547,0.0010310145,0.0007836161,0.0003704111],"domain_scores_gemma":[0.99488395,0.0028283899,0.0005121923,0.00096524827,0.0003671784,0.00044294252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004520861,0.00068073143,0.0005371399,0.0024121671,0.0022184923,0.007956626,0.0011168278,0.0026454157,0.0050274166],"category_scores_gemma":[0.007353901,0.00036721549,0.0007534185,0.0019626187,0.019464226,0.01529506,0.005397443,0.002639872,0.000596316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011414004,0.000016149526,0.00035833856,0.000041863364,0.00001277272,0.00005732749,0.003210757,0.00049910956,0.00012749177,0.98636013,0.0004993752,0.008805213],"study_design_scores_gemma":[0.000016308528,0.0000073665283,0.00027064898,0.000017424014,0.000006130502,0.000056316203,0.00048595338,0.0008453543,0.00007644175,0.9916972,0.00651582,0.0000051064517],"about_ca_topic_score_codex":0.0024271484,"about_ca_topic_score_gemma":0.0013053822,"teacher_disagreement_score":0.007956626,"about_ca_system_score_codex":0.0029223256,"about_ca_system_score_gemma":0.0017557374,"threshold_uncertainty_score":0.023908913},"labels":[],"label_agreement":null},{"id":"W2047052446","doi":"10.1111/j.1083-6101.2009.01465.x","title":"The Emergence of Multidimensional Networks","year":2009,"lang":"en","type":"article","venue":"Journal of Computer-Mediated Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Computer science","score_opus":0.012470673976705236,"score_gpt":0.2514659394080338,"score_spread":0.23899526543132857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047052446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3314648,0.0055604856,0.4998745,0.022210164,0.00042933467,0.00016147642,0.000871614,0.0004071101,0.13902064],"genre_scores_gemma":[0.92513174,0.0017406263,0.06793852,0.0003601827,0.00019054217,0.00017184035,0.0002636412,0.00006513156,0.004137788],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99717194,0.0014881263,0.00012505641,0.00056527497,0.0004994251,0.00015024813],"domain_scores_gemma":[0.97438025,0.017605875,0.0020990104,0.0028331832,0.0019303178,0.0011514319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036350938,0.00029567847,0.000583509,0.0032455376,0.002225025,0.008203558,0.0010175247,0.0019676003,0.0054033087],"category_scores_gemma":[0.02513736,0.00082237145,0.0005546821,0.002985712,0.00845207,0.018942257,0.0046398747,0.0023404497,0.0004991414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014943474,0.000010349976,0.0014356698,0.000031822336,0.000011768662,0.00008057268,0.0019558151,0.001285778,0.00033722658,0.9853238,0.00072120514,0.008791106],"study_design_scores_gemma":[0.0000138493615,0.000006725301,0.0011496317,0.000031526757,0.000009747115,0.00013699982,0.0011419766,0.008927987,0.00013544338,0.97490466,0.013526524,0.000014902244],"about_ca_topic_score_codex":0.0015716949,"about_ca_topic_score_gemma":0.001528788,"teacher_disagreement_score":0.008203558,"about_ca_system_score_codex":0.0019494838,"about_ca_system_score_gemma":0.00091692636,"threshold_uncertainty_score":0.019224465},"labels":[],"label_agreement":null},{"id":"W2047275114","doi":"10.1145/2682914.2682917","title":"Querying a web of linked data","year":2014,"lang":"en","type":"article","venue":"ACM SIGWEB Newsletter","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; World Wide Web; Data science; Context (archaeology); Set (abstract data type); Linked data; Focus (optics); Space (punctuation); Semantic Web","score_opus":0.060866109745304535,"score_gpt":0.2833359603344722,"score_spread":0.22246985058916768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047275114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04057814,0.006516248,0.8673074,0.013884813,0.00073646556,0.00051517884,0.0138450265,0.0105239395,0.046092775],"genre_scores_gemma":[0.2968364,0.008198874,0.6406774,0.003905223,0.0006427268,0.00063955225,0.030520795,0.0024639186,0.016115129],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98257464,0.006387143,0.0018372372,0.0020954062,0.0066312016,0.0004744607],"domain_scores_gemma":[0.9837911,0.00765125,0.0010167632,0.0048427857,0.0020736428,0.00062430586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009038656,0.0008139585,0.0013196793,0.009589994,0.003421356,0.0142096765,0.0026552344,0.0030206623,0.00652991],"category_scores_gemma":[0.03734555,0.001040595,0.0021187388,0.013909356,0.002816321,0.01879707,0.009826454,0.0031457024,0.0025148105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029220444,0.00028834934,0.0068295137,0.0013168288,0.0006166351,0.0027850012,0.0034535923,0.02787194,0.0050835884,0.7038271,0.053223077,0.19441216],"study_design_scores_gemma":[0.00004989237,0.00004316911,0.0010291084,0.00049996213,0.00012836556,0.0013297884,0.001660553,0.064079754,0.005695761,0.6528913,0.27248323,0.000109013425],"about_ca_topic_score_codex":0.0043686596,"about_ca_topic_score_gemma":0.004783671,"teacher_disagreement_score":0.0142096765,"about_ca_system_score_codex":0.0023323116,"about_ca_system_score_gemma":0.0034310468,"threshold_uncertainty_score":0.047801554},"labels":[],"label_agreement":null},{"id":"W2047930155","doi":"10.1016/j.eswa.2012.11.004","title":"Evaluation of the OQuaRE framework for ontology quality","year":2012,"lang":"en","type":"article","venue":"Expert Systems with Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ontology; Computer science; Upper ontology; Process ontology; IDEF5; Ontology components; Quality (philosophy); Completeness (order theory); Ontology alignment; Ontology-based data integration; Reuse; Software engineering; Data mining; Information retrieval; Semantic Web","score_opus":0.10878307838211021,"score_gpt":0.38987472621091995,"score_spread":0.28109164782880974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047930155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3803307,0.0027044094,0.5712275,0.0037088254,0.00038836864,0.0021936356,0.0032654633,0.011569121,0.024611928],"genre_scores_gemma":[0.5229828,0.00040300493,0.47048524,0.00030384364,0.00003886151,0.0002844298,0.002845674,0.0009060911,0.0017500509],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9619105,0.014348464,0.0029969902,0.0023128444,0.017180227,0.0012510114],"domain_scores_gemma":[0.8981707,0.054416567,0.0039545503,0.017460711,0.024221126,0.0017763785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.051547557,0.0010593806,0.0016569669,0.00602802,0.0020606243,0.006582369,0.0033248034,0.0023402127,0.003667085],"category_scores_gemma":[0.12041341,0.00076005684,0.0017677064,0.0037018887,0.0021907173,0.0077365595,0.0070707146,0.0019365988,0.00056775304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007805435,0.0023074625,0.04252561,0.0023036543,0.0016075735,0.00032127363,0.002268212,0.14141387,0.009662778,0.14272921,0.019707855,0.6273471],"study_design_scores_gemma":[0.00085865956,0.0015377831,0.013991362,0.00058139773,0.00053225004,0.00031202563,0.0020891023,0.90827,0.018991463,0.033046197,0.019570427,0.00021943447],"about_ca_topic_score_codex":0.03617299,"about_ca_topic_score_gemma":0.04014248,"teacher_disagreement_score":0.051547557,"about_ca_system_score_codex":0.0049803625,"about_ca_system_score_gemma":0.009377518,"threshold_uncertainty_score":0.2726128},"labels":[],"label_agreement":null},{"id":"W204793957","doi":"10.1007/978-3-642-22688-5_19","title":"Supporting Ontology Design through Large-Scale FCA-Based Ontology Restructuring","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Computer science; Restructuring; Workflow; Ontology-based data integration; Process ontology; Ontology engineering; Upper ontology; Code refactoring; Suggested Upper Merged Ontology; Software engineering; Quality (philosophy); Task (project management); Information retrieval; Database; Systems engineering; Software; Programming language; Domain knowledge; Engineering","score_opus":0.040904359418576924,"score_gpt":0.28263772378065544,"score_spread":0.2417333643620785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W204793957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0081945965,0.00011924692,0.9792499,0.0003057829,0.000055030345,0.00023968625,0.00040412144,0.0057905503,0.0056411377],"genre_scores_gemma":[0.09235251,0.00016500056,0.90121293,0.00014915643,0.000026114274,0.00020221245,0.0023035055,0.0013754683,0.0022131354],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962682,0.0009846837,0.00043040197,0.00053087616,0.001447726,0.00033813613],"domain_scores_gemma":[0.987939,0.004890323,0.0004284945,0.0049006664,0.0015610979,0.00028049064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004856415,0.0007877658,0.0009862126,0.0025496557,0.0024079024,0.005315648,0.0035122891,0.0012987687,0.0050768666],"category_scores_gemma":[0.019423122,0.0009930775,0.0026128166,0.003052897,0.0018078595,0.007403182,0.006601554,0.003338628,0.0019808619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026483048,0.0005562683,0.0043078773,0.0008074609,0.0003404227,0.0009351876,0.0037403866,0.049849637,0.03933003,0.2747891,0.02994047,0.5951384],"study_design_scores_gemma":[0.00006636285,0.000041351283,0.0008688229,0.00022020591,0.00021071032,0.0005324815,0.0010531112,0.5961655,0.048995286,0.23099254,0.12076504,0.000088657085],"about_ca_topic_score_codex":0.010839324,"about_ca_topic_score_gemma":0.019742945,"teacher_disagreement_score":0.010839324,"about_ca_system_score_codex":0.0020671221,"about_ca_system_score_gemma":0.004512189,"threshold_uncertainty_score":0.025683522},"labels":[],"label_agreement":null},{"id":"W2050029023","doi":"","title":"Light-Weight Ontology Alignment using Best-Match Clone Detection","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Computer science; Ontology; Information retrieval; Vocabulary; Ontology alignment; Domain (mathematical analysis); Upper ontology; Ontology-based data integration; Ontology components; Natural language processing; Process ontology; Terminology; Semantic Web; Artificial intelligence; Linguistics","score_opus":0.022722410080218507,"score_gpt":0.24674371315668195,"score_spread":0.22402130307646345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050029023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106988475,0.00069872243,0.8824985,0.00029375957,0.000157839,0.00030332757,0.00023402138,0.0063322196,0.002493241],"genre_scores_gemma":[0.3488883,0.00017076489,0.64668787,0.00017660896,0.000050043025,0.00012583779,0.00094857713,0.00046945974,0.002482509],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99349725,0.0012813408,0.00049173937,0.0014713275,0.0027359605,0.00052236114],"domain_scores_gemma":[0.9883486,0.004000823,0.0018761863,0.002664462,0.0027340713,0.0003759196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034814272,0.0011360098,0.0019785697,0.006181473,0.0020635594,0.0033065905,0.0034141645,0.0021686906,0.0032067222],"category_scores_gemma":[0.019559676,0.0005986885,0.001607224,0.005601462,0.0012096422,0.0047610346,0.0038311072,0.0015798159,0.0016165107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085409044,0.0007922968,0.020151757,0.00036994193,0.0003544966,0.00056365854,0.00058425154,0.047265776,0.03994575,0.0136895105,0.0075996653,0.86782885],"study_design_scores_gemma":[0.000065359796,0.00023228524,0.0028922954,0.000036841644,0.00013633848,0.00070857897,0.00037827727,0.91634834,0.052119974,0.020643443,0.006387056,0.000051196796],"about_ca_topic_score_codex":0.005922442,"about_ca_topic_score_gemma":0.005508556,"teacher_disagreement_score":0.006181473,"about_ca_system_score_codex":0.0016353686,"about_ca_system_score_gemma":0.0024062868,"threshold_uncertainty_score":0.018411815},"labels":[],"label_agreement":null},{"id":"W2050264773","doi":"10.1016/j.compenvurbsys.2004.04.001","title":"A geosemantic proximity-based prototype for the interoperability of geospatial data","year":2005,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Resources Canada","funders":"","keywords":"Geospatial analysis; Interoperability; Geospatial PDF; Computer science; Data science; Relevance (law); Semantic interoperability; The Internet; World Wide Web; Geography; Remote sensing","score_opus":0.040444847641390676,"score_gpt":0.23829121420979804,"score_spread":0.19784636656840737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050264773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012363658,0.000105992316,0.9373499,0.00024742694,0.0001022376,0.00043971825,0.00031243113,0.04440789,0.0046707275],"genre_scores_gemma":[0.16647264,0.00019364408,0.81596255,0.0003491314,0.000051747447,0.0005717272,0.0020183895,0.0026326228,0.011747624],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847084,0.0001868722,0.00013622562,0.00030760927,0.00080036675,0.00009814274],"domain_scores_gemma":[0.99825233,0.00041066975,0.00006621064,0.0007075708,0.0003735523,0.0001897103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019017264,0.0004974934,0.00079355517,0.0008767729,0.0010003004,0.0026697717,0.00422507,0.0020592168,0.011132701],"category_scores_gemma":[0.005673563,0.00068373786,0.00072284153,0.0011735248,0.0006596872,0.0051130885,0.0036486106,0.0015187901,0.0039725224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020074872,0.0015175795,0.004736491,0.001318305,0.00034929573,0.0030255055,0.0058453674,0.011651375,0.204351,0.07767585,0.052305944,0.6352159],"study_design_scores_gemma":[0.00078785757,0.0011795352,0.003806562,0.00028726383,0.00041766278,0.004624911,0.0017272391,0.38731244,0.24397461,0.049572874,0.30599147,0.00031767413],"about_ca_topic_score_codex":0.002589486,"about_ca_topic_score_gemma":0.00241243,"teacher_disagreement_score":0.011132701,"about_ca_system_score_codex":0.00036000545,"about_ca_system_score_gemma":0.00075947255,"threshold_uncertainty_score":0.03724253},"labels":[],"label_agreement":null},{"id":"W2050483123","doi":"10.1145/1774088.1774383","title":"Evidential reasoning for the treatment of incoherent terminologies","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; National Research Council Canada","funders":"","keywords":"Axiom; Correctness; Computer science; Ontology; Perspective (graphical); Focus (optics); Set (abstract data type); Ranking (information retrieval); Artificial intelligence; Description logic; Information retrieval; Epistemology; Algorithm; Mathematics; Programming language","score_opus":0.03521563671066608,"score_gpt":0.30210767428373153,"score_spread":0.26689203757306545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050483123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025594244,0.0014722144,0.9889262,0.0015250059,0.0001295429,0.0000583591,0.00004107505,0.000095666794,0.00519247],"genre_scores_gemma":[0.14686178,0.0019718609,0.84585434,0.00079257775,0.0006150443,0.00039104384,0.0002121486,0.00009408159,0.003207151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98795915,0.0061563193,0.0010284258,0.0007891734,0.003748675,0.00031829963],"domain_scores_gemma":[0.9779969,0.016964406,0.001028512,0.0022533645,0.0014924983,0.00026425914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01836325,0.0010951161,0.0015834097,0.0037846628,0.002696057,0.00394176,0.0036457288,0.0035518191,0.0034541734],"category_scores_gemma":[0.032635387,0.0009948247,0.0025452636,0.0034556084,0.009639336,0.0093929265,0.005435714,0.0077249785,0.0006034186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009065806,0.00001238642,0.00006456972,0.00011377279,0.000025773621,0.00014534466,0.00039612205,0.0082094455,0.000278219,0.9815072,0.00073878624,0.00849943],"study_design_scores_gemma":[0.000008942027,0.0000055393684,0.000015746473,0.00003370283,0.00001074103,0.000038266433,0.00002872259,0.028138166,0.00020772395,0.96877867,0.0027259698,0.000007900378],"about_ca_topic_score_codex":0.0010894829,"about_ca_topic_score_gemma":0.0015466867,"teacher_disagreement_score":0.01836325,"about_ca_system_score_codex":0.0029664089,"about_ca_system_score_gemma":0.002346251,"threshold_uncertainty_score":0.09711534},"labels":[],"label_agreement":null},{"id":"W2050513812","doi":"10.1111/j.0824-7935.2004.00255.x","title":"A Weighted‐Tree Similarity Algorithm for Multi‐Agent Systems in E‐Business Environments","year":2004,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Computer science; Tree traversal; Serialization; Similarity (geometry); Tree (set theory); Theoretical computer science; XML; Algorithm; Node (physics); Artificial intelligence; Data mining; Programming language; Mathematics; Image (mathematics)","score_opus":0.0680886334964266,"score_gpt":0.3066998051356149,"score_spread":0.2386111716391883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050513812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025032703,0.000050312254,0.9965592,0.000041618536,0.000013877761,0.00004901403,0.000015796631,0.00031670002,0.00045021556],"genre_scores_gemma":[0.05128517,0.000070605136,0.94711083,0.000042323732,0.00001284908,0.00013556749,0.00012936114,0.000114749346,0.0010984999],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980428,0.00053691765,0.00020176212,0.00039287185,0.00070511276,0.000120396566],"domain_scores_gemma":[0.9978586,0.00089374156,0.00018362318,0.00026964897,0.00069011614,0.000104189814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002276895,0.00064373255,0.0009868358,0.0021971285,0.0014105755,0.0019498356,0.0020237216,0.0019524335,0.0033397183],"category_scores_gemma":[0.008493575,0.0005953208,0.0009989695,0.0023602948,0.0008405649,0.004494913,0.0024819945,0.0014727217,0.0014328212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014959066,0.00016852631,0.001350409,0.00020251588,0.00009862138,0.0001597262,0.0004784601,0.26777828,0.00711806,0.12442804,0.004553651,0.5935141],"study_design_scores_gemma":[0.000020091751,0.00005257203,0.00017753658,0.000015017848,0.000016305314,0.00008057313,0.00006286944,0.93410265,0.0027418833,0.05836041,0.004353633,0.000016521588],"about_ca_topic_score_codex":0.0037798353,"about_ca_topic_score_gemma":0.003522528,"teacher_disagreement_score":0.0037798353,"about_ca_system_score_codex":0.0013993698,"about_ca_system_score_gemma":0.0017264304,"threshold_uncertainty_score":0.012041509},"labels":[],"label_agreement":null},{"id":"W2051029804","doi":"10.1017/s0890060409000109","title":"A dynamic knowledge modeler","year":2008,"lang":"en","type":"article","venue":"Artificial intelligence for engineering design analysis and manufacturing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Canada Research Chairs","keywords":"Computer science; Domain knowledge; Knowledge modeling; Ontology; Knowledge engineering; Knowledge integration; Knowledge-based systems; Software engineering; Open Knowledge Base Connectivity; Domain (mathematical analysis); Knowledge management; Personal knowledge management; Organizational learning","score_opus":0.054182130958427936,"score_gpt":0.2694206677634845,"score_spread":0.21523853680505656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051029804","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031935093,0.00015847525,0.96259826,0.0009511526,0.00012780745,0.0002636059,0.00092395407,0.011678191,0.020105066],"genre_scores_gemma":[0.090332106,0.00057261274,0.8744928,0.000554438,0.00007693319,0.0005574612,0.004118613,0.0018704826,0.027424656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971384,0.0004978417,0.00034475344,0.00076455134,0.0010784797,0.00017597892],"domain_scores_gemma":[0.99663204,0.0010093391,0.00017128598,0.001218366,0.000825075,0.00014378733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004015172,0.00090593414,0.00088428735,0.0029058163,0.001672095,0.0069823386,0.0033753417,0.0022417938,0.013170816],"category_scores_gemma":[0.0065465984,0.0010513609,0.0019533127,0.0016152944,0.0016175953,0.010572853,0.0056278147,0.0032138112,0.005486162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001789943,0.00025428444,0.0017656925,0.0004319722,0.00012677451,0.00079847896,0.0021290053,0.036145832,0.009117774,0.6068606,0.031167908,0.31102276],"study_design_scores_gemma":[0.000076580785,0.000055970075,0.00035466492,0.00028516207,0.00011161167,0.00054398633,0.00036761386,0.3453478,0.014788351,0.1642456,0.47373256,0.000089989546],"about_ca_topic_score_codex":0.0066985027,"about_ca_topic_score_gemma":0.005733918,"teacher_disagreement_score":0.013170816,"about_ca_system_score_codex":0.001998421,"about_ca_system_score_gemma":0.0037109163,"threshold_uncertainty_score":0.044060767},"labels":[],"label_agreement":null},{"id":"W2052061796","doi":"10.1016/j.cageo.2010.05.014","title":"Development of a controlled vocabulary for semantic interoperability of mineral exploration geodata for mining projects","year":2010,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"China Geological Survey; China University of Geosciences","keywords":"Computer science; Interoperability; Metadata; Vocabulary; Semantic interoperability; Domain (mathematical analysis); Controlled vocabulary; Information retrieval; Data mining; Data science; World Wide Web","score_opus":0.0597839357526391,"score_gpt":0.29289915166185665,"score_spread":0.23311521590921755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052061796","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016051438,0.0001513848,0.9578803,0.0005850595,0.00017460148,0.0023637281,0.0066544707,0.010410396,0.0057287305],"genre_scores_gemma":[0.098999806,0.0003405446,0.8588794,0.00028066756,0.00006690686,0.0019036242,0.03356126,0.0029570146,0.0030107992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99145913,0.0013954483,0.002849633,0.0014741094,0.0023882703,0.00043339975],"domain_scores_gemma":[0.9830284,0.004685436,0.001384134,0.0049916604,0.0051624826,0.0007478645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0138250245,0.0009487369,0.0013057006,0.0085071875,0.0023543122,0.007345159,0.0035150675,0.0019876284,0.003076791],"category_scores_gemma":[0.024341747,0.0014218275,0.0024499027,0.004603245,0.002084094,0.0123935975,0.0061394214,0.004284972,0.002093431],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006442708,0.0011975565,0.011240493,0.0017870427,0.00032653668,0.0013171947,0.007283792,0.020953678,0.057926618,0.5531484,0.044220965,0.29995343],"study_design_scores_gemma":[0.00032719102,0.00035931374,0.0053690677,0.0013899872,0.00059994264,0.00086033146,0.0027671282,0.22475235,0.108169906,0.14298597,0.51199114,0.00042767177],"about_ca_topic_score_codex":0.023386786,"about_ca_topic_score_gemma":0.01681144,"teacher_disagreement_score":0.023386786,"about_ca_system_score_codex":0.0029282058,"about_ca_system_score_gemma":0.0113486415,"threshold_uncertainty_score":0.07311463},"labels":[],"label_agreement":null},{"id":"W2053376461","doi":"10.1080/01639374.2011.548053","title":"Do Provenance-Based Classification Schemes Have a Role in Libraries and Information Centres? The Case of Classifying Government Publications","year":2011,"lang":"en","type":"article","venue":"Cataloging & Classification Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Notation; Classification scheme; Computer science; Government (linguistics); Scheme (mathematics); Publishing; World Wide Web; Universality (dynamical systems); Information retrieval; Library science; Library classification; Political science; Linguistics; Mathematics","score_opus":0.04558361636990517,"score_gpt":0.24222026206311706,"score_spread":0.19663664569321188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053376461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15836683,0.005122665,0.28998125,0.25907546,0.001978127,0.00071545347,0.0010144366,0.0011221403,0.2826236],"genre_scores_gemma":[0.9113467,0.0011480461,0.06792331,0.004337001,0.00046632823,0.0002728797,0.00049700704,0.00035610457,0.013652714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9313984,0.03976346,0.0051247897,0.0069771083,0.0106163295,0.006119865],"domain_scores_gemma":[0.8019094,0.0805865,0.01931055,0.048127018,0.03813212,0.011934423],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.106312715,0.0005080611,0.001591445,0.009765405,0.0218684,0.03838797,0.004576055,0.009992397,0.010667894],"category_scores_gemma":[0.20192951,0.0011867265,0.0018071781,0.02138327,0.035175968,0.14108714,0.016588315,0.009010366,0.0025273834],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009793841,0.000051099836,0.0072356476,0.00006807203,0.00001612221,0.00018841233,0.014437062,0.00043203923,0.00012861195,0.9469489,0.0046849693,0.02571116],"study_design_scores_gemma":[0.000120764664,0.000044978657,0.0057331463,0.00048291124,0.000048811857,0.00055669557,0.030880908,0.0041492553,0.0008712611,0.8303099,0.1266432,0.00015819688],"about_ca_topic_score_codex":0.048071276,"about_ca_topic_score_gemma":0.024249738,"teacher_disagreement_score":0.96161205,"about_ca_system_score_codex":0.019957382,"about_ca_system_score_gemma":0.023662526,"threshold_uncertainty_score":0.5622421},"labels":[],"label_agreement":null},{"id":"W2054070694","doi":"10.1016/j.infsof.2013.02.011","title":"ODEP-DPS: Ontology-driven engineering process for the collaborative development of semantic data providing services","year":2013,"lang":"en","type":"article","venue":"Information and Software Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ontology; Computer science; Ontology engineering; Process (computing); Development (topology); Software engineering; Ontology-based data integration; Semantic Web; World Wide Web","score_opus":0.017769509243101885,"score_gpt":0.2544058015133096,"score_spread":0.23663629227020772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054070694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015480429,0.000028400522,0.9916957,0.00014473019,0.00004462391,0.00024357361,0.00021183686,0.0037226374,0.0023604173],"genre_scores_gemma":[0.039052356,0.00015178234,0.9531464,0.00015036135,0.000018048639,0.00032040337,0.0016362661,0.0014672291,0.0040571517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941935,0.0015748938,0.0005716006,0.00081541925,0.0023844044,0.0004601678],"domain_scores_gemma":[0.99426174,0.0020547658,0.00025101964,0.00218433,0.00089227426,0.00035588598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069376696,0.0011029883,0.0010172195,0.002479663,0.0017072521,0.0048508965,0.00327248,0.0020316232,0.0076344176],"category_scores_gemma":[0.01653486,0.0012876372,0.003133739,0.0019431148,0.0018104912,0.00519057,0.011150736,0.0040996196,0.003786567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032115928,0.000651364,0.0031089585,0.0013045587,0.00032429118,0.0017806325,0.0046335342,0.029798485,0.029308949,0.48443162,0.027732713,0.41660383],"study_design_scores_gemma":[0.000112432994,0.00010609155,0.0007935527,0.00032080873,0.00017483768,0.0011762886,0.0011376444,0.3226468,0.068181425,0.2918256,0.31336707,0.00015748084],"about_ca_topic_score_codex":0.0036250646,"about_ca_topic_score_gemma":0.004924246,"teacher_disagreement_score":0.0076344176,"about_ca_system_score_codex":0.0014345783,"about_ca_system_score_gemma":0.0065761637,"threshold_uncertainty_score":0.036690354},"labels":[],"label_agreement":null},{"id":"W2054702435","doi":"10.1109/cimsa.2007.4362539","title":"A Universal Ontology for Sensor Networks Data","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ontology-based data integration; Ontology; Computer science; Suggested Upper Merged Ontology; Process ontology; Upper ontology; Ontology Inference Layer; Information retrieval; RDF; Protégé; Open Biomedical Ontologies; Ontology alignment; OWL-S; Data mining; Semantic Web; Semantic Web Stack","score_opus":0.0616767736174473,"score_gpt":0.3059870015567846,"score_spread":0.2443102279393373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054702435","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044955155,0.00035285685,0.9861574,0.00070382806,0.00017068902,0.00042415268,0.0010225798,0.0017304933,0.004942448],"genre_scores_gemma":[0.06302551,0.0008688915,0.92804796,0.0004576047,0.000060091737,0.00048293822,0.0036495142,0.00039000233,0.003017478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99279845,0.001149415,0.0013744868,0.001241958,0.003051763,0.0003838865],"domain_scores_gemma":[0.99536467,0.0008548426,0.00032614375,0.0017232283,0.0014969182,0.00023409422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072443695,0.000611481,0.0010551543,0.0030907143,0.0020208345,0.0051189526,0.0024544648,0.001376064,0.0018060594],"category_scores_gemma":[0.010042342,0.0005734316,0.0018308399,0.00396658,0.002092473,0.009617529,0.004456164,0.002088517,0.00073519716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010946366,0.00020524672,0.0028079734,0.00096911524,0.00015868073,0.0006611143,0.0026081519,0.014227215,0.0150182005,0.6989812,0.01821117,0.24604243],"study_design_scores_gemma":[0.000048064,0.000118974975,0.002201452,0.0008708094,0.00017250063,0.0012628627,0.0016642491,0.11826014,0.02199825,0.17303964,0.6802117,0.00015128576],"about_ca_topic_score_codex":0.010045254,"about_ca_topic_score_gemma":0.00859654,"teacher_disagreement_score":0.010045254,"about_ca_system_score_codex":0.0027077661,"about_ca_system_score_gemma":0.0064829416,"threshold_uncertainty_score":0.038312316},"labels":[],"label_agreement":null},{"id":"W2055732723","doi":"10.1007/s00799-015-0148-0","title":"Introduction to the focussed issue on Semantic Digital Archives","year":2015,"lang":"en","type":"article","venue":"International Journal on Digital Libraries","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Digital library; Information retrieval; Linguistics","score_opus":0.019991657629342026,"score_gpt":0.24508972461900974,"score_spread":0.22509806698966772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055732723","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014962404,0.13261251,0.028439568,0.2650275,0.5099529,0.00018123313,0.0012340847,0.00074878475,0.060307205],"genre_scores_gemma":[0.014345256,0.078854345,0.011690048,0.14627166,0.61998767,0.00025219147,0.001686871,0.001448785,0.12546319],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996766,0.00088561355,0.00035507526,0.0005777611,0.0011638773,0.0002517529],"domain_scores_gemma":[0.9808034,0.010405825,0.0008312145,0.00134366,0.0049776793,0.0016383184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065515717,0.0014305571,0.0014897266,0.008007705,0.0024070402,0.009431779,0.002367278,0.008067824,0.03616023],"category_scores_gemma":[0.016254235,0.0006920297,0.0012968687,0.005834233,0.005029253,0.014646598,0.006265744,0.015224396,0.013452566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053667773,0.00006673421,0.00019270576,0.0012471486,0.000019955376,0.0001752086,0.00068794726,0.00018238804,0.0013508705,0.0674805,0.8657028,0.06284013],"study_design_scores_gemma":[0.000004274143,0.000013218074,0.00014873612,0.0003729833,0.000007387747,0.00012693871,0.00015495162,0.00009668332,0.000136229,0.006449355,0.99247676,0.000012499949],"about_ca_topic_score_codex":0.0017367962,"about_ca_topic_score_gemma":0.0028493514,"teacher_disagreement_score":0.03616023,"about_ca_system_score_codex":0.0027278205,"about_ca_system_score_gemma":0.0025066957,"threshold_uncertainty_score":0.120968044},"labels":[],"label_agreement":null},{"id":"W2057349548","doi":"10.1002/bult.2006.1720320506","title":"Versioning concept schemes for persistent retrieval","year":2006,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Simple Knowledge Organization System; Computer science; RDF; World Wide Web; Linked data; Semantic Web; Information retrieval; Metadata; Controlled vocabulary; SPARQL","score_opus":0.009342435601432868,"score_gpt":0.23586805176143325,"score_spread":0.2265256161600004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057349548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013823496,0.002140832,0.9725485,0.0025312244,0.0009577548,0.0005012097,0.0010572443,0.0052127806,0.013668058],"genre_scores_gemma":[0.045744598,0.0039370437,0.9200884,0.0015883917,0.00097306026,0.0009752941,0.004086135,0.0026830847,0.019923987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9792503,0.0062793037,0.0039227596,0.0033104029,0.0062423325,0.0009948537],"domain_scores_gemma":[0.9644375,0.008334033,0.0015137108,0.020129912,0.0047017476,0.0008831621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02082124,0.0011999724,0.0016382564,0.0057016267,0.0035828142,0.014747606,0.0053345477,0.0037548447,0.022219248],"category_scores_gemma":[0.06019025,0.0019469747,0.003417177,0.0081204865,0.006669399,0.04853853,0.012815114,0.007876051,0.012162033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043683394,0.00001931318,0.00021090546,0.00021788212,0.000020991429,0.00007790148,0.00080248574,0.0013880118,0.00072316796,0.8999475,0.022150215,0.074397855],"study_design_scores_gemma":[0.000034764114,0.000033177686,0.00013295132,0.00032302705,0.0000386546,0.00036244566,0.0002505382,0.01189136,0.0015874653,0.49350494,0.49175793,0.000082703984],"about_ca_topic_score_codex":0.0067207864,"about_ca_topic_score_gemma":0.005039271,"teacher_disagreement_score":0.022219248,"about_ca_system_score_codex":0.005070916,"about_ca_system_score_gemma":0.0051594223,"threshold_uncertainty_score":0.110114574},"labels":[],"label_agreement":null},{"id":"W2058328191","doi":"10.3115/1654758.1654777","title":"Context comparison as a minimum cost flow problem","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Context (archaeology); Metric (unit); Graphical model; Overhead (engineering); Key (lock); Component (thermodynamics); Information retrieval; Ontology alignment; Word (group theory); Artificial intelligence; Data mining; Theoretical computer science; Process ontology; Programming language; Mathematics; Semantic Web","score_opus":0.02071975809079103,"score_gpt":0.2635155168583795,"score_spread":0.24279575876758847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058328191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017817894,0.0006479231,0.97453314,0.0010872639,0.00009315426,0.00023977838,0.0005909043,0.00051625405,0.0044736736],"genre_scores_gemma":[0.18870755,0.00050066115,0.80333394,0.00031632968,0.00016728963,0.00059265224,0.0014520985,0.0003939466,0.004535567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99671966,0.0013318483,0.00019497146,0.000886458,0.00066254556,0.00020456582],"domain_scores_gemma":[0.993171,0.0056185503,0.00028750903,0.00034185388,0.00039905374,0.00018205206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003989755,0.0012224102,0.0022153195,0.0034390008,0.001823204,0.0029904963,0.0028257659,0.0039838664,0.013614937],"category_scores_gemma":[0.017818086,0.0010126401,0.0018906659,0.0038858936,0.0014643046,0.0075017964,0.0028501158,0.0022046766,0.00084040913],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045927693,0.00025881032,0.0015600158,0.00093785505,0.00017922814,0.00042273867,0.00036122944,0.36939913,0.0022956599,0.26252916,0.0150665445,0.3465303],"study_design_scores_gemma":[0.000071534225,0.00006705116,0.0004084974,0.0000679108,0.000055054457,0.00013278547,0.000107400745,0.5960692,0.0011113905,0.39582056,0.006059399,0.000029125486],"about_ca_topic_score_codex":0.0032777307,"about_ca_topic_score_gemma":0.0031496256,"teacher_disagreement_score":0.013614937,"about_ca_system_score_codex":0.002099881,"about_ca_system_score_gemma":0.0018960203,"threshold_uncertainty_score":0.045546472},"labels":[],"label_agreement":null},{"id":"W2058331690","doi":"10.1108/lr-09-2014-0097","title":"Understanding Semantic Web: a conceptual model","year":2015,"lang":"en","type":"article","venue":"Library Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Social Semantic Web; Semantic Web; Semantic analytics; Semantic Web Stack; Web standards; World Wide Web; Data Web; Web modeling; Semantic grid; Semantic search; Web intelligence; Information retrieval; Data science; Web service","score_opus":0.31598566735243633,"score_gpt":0.2956843675773294,"score_spread":0.020301299775106918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058331690","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018852599,0.014459024,0.7285112,0.07059422,0.0009444259,0.0007402965,0.0010041184,0.00061473786,0.16427937],"genre_scores_gemma":[0.49269938,0.01769201,0.4625797,0.0072902814,0.0010200418,0.0019789308,0.002150991,0.00029843097,0.014290261],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9940777,0.003242137,0.00047640828,0.00069487764,0.0011798879,0.00032893574],"domain_scores_gemma":[0.99439716,0.0031841844,0.00044130033,0.0004939247,0.00097598234,0.00050751446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008755191,0.0012713076,0.00097913,0.011289485,0.0040141577,0.017733533,0.0040585604,0.0052562277,0.0042698053],"category_scores_gemma":[0.0072229914,0.00071964547,0.0017064429,0.010504875,0.017772572,0.03575146,0.0059541445,0.0051194774,0.0010160451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042887727,0.000011975793,0.00012599268,0.000084064995,0.000007146015,0.00010514661,0.0023597025,0.00057549967,0.000070549555,0.9909503,0.001078564,0.004626899],"study_design_scores_gemma":[0.000009649365,0.000010670336,0.00016128784,0.0003643684,0.000014862932,0.00026217778,0.0051506176,0.0044150054,0.00012793155,0.91548467,0.073980816,0.00001795322],"about_ca_topic_score_codex":0.007562926,"about_ca_topic_score_gemma":0.0030715403,"teacher_disagreement_score":0.017733533,"about_ca_system_score_codex":0.007096885,"about_ca_system_score_gemma":0.007856952,"threshold_uncertainty_score":0.051491737},"labels":[],"label_agreement":null},{"id":"W2058449996","doi":"10.1109/syscon.2012.6189521","title":"A multiagent architecture for semantic access to legacy relational databases","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Computer science; Ontology; Semantic Web; Middleware (distributed applications); World Wide Web; Delegation; Relational database; Database","score_opus":0.11515726091839888,"score_gpt":0.3488271512727601,"score_spread":0.2336698903543612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058449996","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008448262,0.00074877427,0.9757253,0.00061626453,0.00009764288,0.00017674401,0.000105901636,0.0043357457,0.0097454265],"genre_scores_gemma":[0.20035979,0.0012365925,0.7795245,0.00041864056,0.0001979718,0.00029451968,0.0009019043,0.00039068697,0.016675312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980354,0.0004928573,0.00026820885,0.00037314591,0.00072029995,0.00011022975],"domain_scores_gemma":[0.99880457,0.0002033746,0.00011442397,0.00039885286,0.00030846603,0.00017032074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002125045,0.00043479935,0.0006192202,0.0011290304,0.0013083827,0.0049982658,0.0027897127,0.0011866501,0.002595281],"category_scores_gemma":[0.0027957084,0.0005133971,0.00073671667,0.0012245644,0.00086513604,0.0046382607,0.003563562,0.0014957599,0.0014417589],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041597825,0.0004183362,0.0024544217,0.00052914984,0.00030221586,0.0014791219,0.0035100193,0.03204458,0.035826948,0.5106201,0.018727245,0.39367193],"study_design_scores_gemma":[0.00013985,0.00026571017,0.0015002721,0.00018064845,0.00024109901,0.0013965229,0.0007815572,0.42643148,0.0171781,0.16769938,0.38402537,0.00016003802],"about_ca_topic_score_codex":0.0030688476,"about_ca_topic_score_gemma":0.003033167,"teacher_disagreement_score":0.0049982658,"about_ca_system_score_codex":0.0010055098,"about_ca_system_score_gemma":0.0014349923,"threshold_uncertainty_score":0.011238396},"labels":[],"label_agreement":null},{"id":"W2058498685","doi":"10.1145/1255175.1255284","title":"Tagging for health information organisation and retrieval","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Information retrieval; Data science","score_opus":0.017426917496620654,"score_gpt":0.2861241427665667,"score_spread":0.26869722526994605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058498685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014860995,0.019649567,0.867872,0.008231097,0.0021135747,0.0012317185,0.013767309,0.010685003,0.061588697],"genre_scores_gemma":[0.23597662,0.014746198,0.6676201,0.0017645232,0.00084727735,0.00096696423,0.031182438,0.0011476667,0.04574824],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754816,0.0013455595,0.0002280533,0.0003234152,0.00037474732,0.0001800676],"domain_scores_gemma":[0.9925524,0.0042144684,0.00034752543,0.0016356494,0.00096958247,0.00028052652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004222405,0.00064276386,0.0010357748,0.004504895,0.0016325745,0.0036303352,0.0014009158,0.0020474428,0.025440434],"category_scores_gemma":[0.012117709,0.00054671086,0.001037779,0.00505661,0.0012436564,0.0057670064,0.0024607293,0.00087540597,0.016173664],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005781792,0.00022005891,0.0027950779,0.0027248582,0.00019157927,0.00046457234,0.0007612409,0.0050161155,0.010358894,0.07242942,0.16395374,0.7405062],"study_design_scores_gemma":[0.00018446473,0.00028218568,0.008265256,0.003092863,0.00057351234,0.0015342763,0.0013128342,0.087905236,0.022330068,0.32640642,0.54783976,0.0002731034],"about_ca_topic_score_codex":0.0076663247,"about_ca_topic_score_gemma":0.009403022,"teacher_disagreement_score":0.025440434,"about_ca_system_score_codex":0.0018862195,"about_ca_system_score_gemma":0.0022274621,"threshold_uncertainty_score":0.08510667},"labels":[],"label_agreement":null},{"id":"W2060655775","doi":"10.1109/bigdata.2014.7004338","title":"Integrating existing large scale medical laboratory data into the semantic web framework","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Metadata; Ontology; SNOMED CT; Relational database; Information retrieval; Data science; Semantic Web; Semantic grid; Semantic analytics; Semantic integration; Open Biomedical Ontologies; Analytics; Semantics (computer science); Social Semantic Web; Semantic Web Stack; World Wide Web; Terminology; OWL-S","score_opus":0.02933545266083733,"score_gpt":0.30941037534990523,"score_spread":0.2800749226890679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060655775","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0151155675,0.001186547,0.9648203,0.001513144,0.00015916694,0.00050480623,0.0023780284,0.006586493,0.007735883],"genre_scores_gemma":[0.114121825,0.0017033094,0.87329584,0.0005811661,0.000097729324,0.000288447,0.008081577,0.0005487066,0.0012815234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935328,0.0018419705,0.0009102811,0.0008217847,0.0026368685,0.0002562661],"domain_scores_gemma":[0.9927214,0.002923916,0.000582754,0.0020480803,0.0014098337,0.00031406683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00931707,0.0010668875,0.0011904751,0.00691871,0.0011847176,0.0064151175,0.002570505,0.0016022437,0.0014833686],"category_scores_gemma":[0.012082711,0.0004912583,0.0018708211,0.006810063,0.0017816781,0.008433512,0.0055125225,0.0020426852,0.00091885345],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051651127,0.0009930611,0.014664991,0.0033519617,0.001165084,0.0030244759,0.0025557159,0.115341656,0.033882152,0.24566288,0.015873311,0.5629682],"study_design_scores_gemma":[0.000111156914,0.00034727596,0.008435025,0.0013330628,0.00062413915,0.0015769042,0.001912947,0.3070113,0.037986618,0.3628425,0.27754027,0.00027876292],"about_ca_topic_score_codex":0.007931253,"about_ca_topic_score_gemma":0.008063239,"teacher_disagreement_score":0.00931707,"about_ca_system_score_codex":0.0015931157,"about_ca_system_score_gemma":0.004247593,"threshold_uncertainty_score":0.049273968},"labels":[],"label_agreement":null},{"id":"W2060931313","doi":"10.1017/s0140525x03390156","title":"Delegation, subdivision, and modularity: How rich is Conceptual Structure?","year":2003,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Generality; Modularity (biology); Delegation; Subdivision; Computer science; Cognitive science; Conceptual model; Architecture; Conceptual framework; Theoretical computer science; Epistemology; Psychology; Political science; Philosophy; Engineering","score_opus":0.050567149640919136,"score_gpt":0.2940998815772505,"score_spread":0.24353273193633135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060931313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16420269,0.0053131287,0.680279,0.045216076,0.00023906659,0.000079258185,0.00013644084,0.00054347754,0.10399092],"genre_scores_gemma":[0.95124894,0.00089431077,0.0437304,0.001221639,0.0001754376,0.000077068864,0.000057616366,0.00007252631,0.0025221286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99686015,0.0011660656,0.00017225607,0.0007915611,0.00063721166,0.0003727641],"domain_scores_gemma":[0.9910761,0.004078239,0.0010727942,0.002349423,0.0006697401,0.0007536591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005970375,0.00055511313,0.0010638209,0.0021902325,0.0019751461,0.006248497,0.0016881131,0.0029153316,0.0029206479],"category_scores_gemma":[0.01601714,0.00055142434,0.001307779,0.0020512324,0.025664072,0.027597373,0.00631059,0.0032777074,0.0004998744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003738994,0.000014464845,0.0008733232,0.000048017086,0.000027841517,0.00004469628,0.0016301789,0.0007696657,0.00039183887,0.9821858,0.00072751194,0.013249249],"study_design_scores_gemma":[0.0000082464385,0.0000076145784,0.00039313914,0.000017648086,0.000011665586,0.000064087835,0.00018952721,0.0014476739,0.00019962605,0.9953069,0.0023455191,0.000008366512],"about_ca_topic_score_codex":0.00293924,"about_ca_topic_score_gemma":0.0018703439,"teacher_disagreement_score":0.006248497,"about_ca_system_score_codex":0.0024084488,"about_ca_system_score_gemma":0.0013263804,"threshold_uncertainty_score":0.031574726},"labels":[],"label_agreement":null},{"id":"W2061245513","doi":"10.5539/cis.v2n4p94","title":"Applying Knowledge Management System Architecture in Software Maintenance Environment","year":2009,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Tacit knowledge; Knowledge management; Process (computing); Software maintenance; Software; Software engineering; Software system; Operating system","score_opus":0.008167646833245936,"score_gpt":0.2134017777548676,"score_spread":0.20523413092162165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061245513","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09154855,0.0011630015,0.84045416,0.0061315363,0.00018525579,0.00038573067,0.00008523127,0.0025454608,0.05750109],"genre_scores_gemma":[0.5042567,0.0010583068,0.48541617,0.00045474383,0.000048710153,0.0002051766,0.00020886032,0.00006667681,0.008284637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988294,0.0005226234,0.00010634064,0.00016158019,0.00029370104,0.00008633091],"domain_scores_gemma":[0.9990716,0.00027617833,0.000088217785,0.00014884445,0.000329667,0.00008548461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015085485,0.00022338952,0.00022988078,0.0011192418,0.0010458406,0.0035743823,0.0009875167,0.0013953388,0.0016537792],"category_scores_gemma":[0.0025114515,0.00027724958,0.00036764983,0.0012753931,0.001205526,0.0037426439,0.0016289777,0.00083453977,0.00060616346],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015750129,0.0004958066,0.008735581,0.0006496982,0.00015884364,0.0012269273,0.005171289,0.04139196,0.01419741,0.4684055,0.007646964,0.45176253],"study_design_scores_gemma":[0.00014468277,0.00045955583,0.00653473,0.0006652444,0.00031509355,0.0015612252,0.0025722203,0.40258121,0.016220763,0.37899482,0.18983401,0.00011645616],"about_ca_topic_score_codex":0.004874092,"about_ca_topic_score_gemma":0.0038138109,"teacher_disagreement_score":0.004874092,"about_ca_system_score_codex":0.0016949439,"about_ca_system_score_gemma":0.0031534005,"threshold_uncertainty_score":0.0122977495},"labels":[],"label_agreement":null},{"id":"W2061464530","doi":"10.1108/00242530410556247","title":"Subject searching requirements: the HILT II experience","year":2004,"lang":"en","type":"article","venue":"Library Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Process (computing); Subject (documents); Information retrieval; Exploratory search; Order (exchange); World Wide Web; Exploratory research; Relation (database); Database","score_opus":0.04962451748935284,"score_gpt":0.30233985078265213,"score_spread":0.2527153332932993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061464530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83243793,0.0023262405,0.0517977,0.009956422,0.00032053387,0.0011764354,0.0005839288,0.0016450688,0.09975571],"genre_scores_gemma":[0.8653697,0.0032469514,0.06572309,0.0024401094,0.0001746438,0.00097034004,0.002066326,0.0011276192,0.05888132],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98268974,0.010679835,0.0013966801,0.0010617067,0.0033032738,0.000868744],"domain_scores_gemma":[0.97171175,0.017768316,0.001071449,0.003060478,0.003975836,0.0024120782],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.029204529,0.00037105702,0.0011155631,0.0018550617,0.0028275764,0.0074640866,0.0018911608,0.0025205475,0.007027134],"category_scores_gemma":[0.04775627,0.00062264845,0.00060451403,0.002921513,0.002079,0.009682243,0.006630979,0.0025771484,0.0026343048],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010389633,0.0023448896,0.013763939,0.0015403804,0.000042338914,0.0042267228,0.44976246,0.0020261826,0.020336378,0.036316335,0.03558028,0.43302107],"study_design_scores_gemma":[0.00036144795,0.0024753117,0.01227926,0.00075885915,0.00007745717,0.003994082,0.18717039,0.009533167,0.01636995,0.012756592,0.7540127,0.00021087093],"about_ca_topic_score_codex":0.0045363405,"about_ca_topic_score_gemma":0.006200557,"teacher_disagreement_score":0.9925359,"about_ca_system_score_codex":0.004040406,"about_ca_system_score_gemma":0.006709543,"threshold_uncertainty_score":0.15445018},"labels":[],"label_agreement":null},{"id":"W206208155","doi":"10.2307/41409965","title":"Guidelines for Designing Visual Ontologies to Support Knowledge Identification1","year":2011,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Texas A and M International University; University of British Columbia; Texas A and M University","keywords":"Identification (biology); Knowledge management; Computer science; Visual analytics; Data science; Visualization; Data mining","score_opus":0.23682455072027908,"score_gpt":0.3915677898257199,"score_spread":0.1547432391054408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W206208155","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061094775,0.0005668121,0.9625984,0.0053856494,0.00013735259,0.002448321,0.00017009974,0.0018846211,0.020699292],"genre_scores_gemma":[0.023899628,0.00037386795,0.9724125,0.00036791968,0.00002192037,0.0013996162,0.00019898942,0.00016828286,0.0011571323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.97476375,0.0154606635,0.004549985,0.0009441189,0.0036327539,0.0006487575],"domain_scores_gemma":[0.91292197,0.04909393,0.005867164,0.011352549,0.019193318,0.0015710482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031892687,0.0016246793,0.0008299806,0.006366481,0.0031708346,0.0074525303,0.0045594866,0.005394112,0.0044350787],"category_scores_gemma":[0.09236216,0.0022693488,0.0015096306,0.0038062674,0.008380885,0.017241534,0.0052647437,0.0041701533,0.0025629485],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011226401,0.00061820337,0.0022241499,0.0020149648,0.000058612568,0.0006166266,0.023243917,0.010972212,0.011937845,0.7229789,0.02664894,0.19857326],"study_design_scores_gemma":[0.00020683045,0.00018540797,0.0015993742,0.0032620514,0.00009335337,0.00079377455,0.010563212,0.031883612,0.01351183,0.6068211,0.330854,0.00022547662],"about_ca_topic_score_codex":0.005035055,"about_ca_topic_score_gemma":0.011340054,"teacher_disagreement_score":0.031892687,"about_ca_system_score_codex":0.0029344927,"about_ca_system_score_gemma":0.0053373165,"threshold_uncertainty_score":0.16866666},"labels":[],"label_agreement":null},{"id":"W2062268543","doi":"","title":"PolyU at TAC 2008","year":2008,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.012615779786196378,"score_gpt":0.23712345873704227,"score_spread":0.2245076789508459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062268543","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021684743,0.002804427,0.018702898,0.016343903,0.016866941,0.0005791055,0.014941831,0.007550471,0.9005258],"genre_scores_gemma":[0.04369566,0.00064562936,0.00615513,0.0012203411,0.0012385106,0.00028893957,0.013266931,0.0011970024,0.9322919],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982698,0.00025650754,0.000030130257,0.0003545201,0.0005633318,0.0005257394],"domain_scores_gemma":[0.9981469,0.00006851747,0.00003912961,0.00017385805,0.00052981277,0.0010417198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021976805,0.0010606353,0.0008478933,0.0010730006,0.0034685307,0.006694221,0.0013730709,0.001401294,0.2608419],"category_scores_gemma":[0.0014103506,0.00033180427,0.00054544094,0.0012061709,0.00047250683,0.0020074255,0.0029424026,0.0021577082,0.17006333],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045912535,0.00029704632,0.0010143837,0.00006608962,0.000012413373,0.00028005533,0.00014617194,0.00045509345,0.0018048215,0.008209429,0.9220568,0.06519846],"study_design_scores_gemma":[0.000047471447,0.00011587047,0.0017888478,0.000025194639,0.0000060942602,0.000084504674,0.00016494261,0.0013483592,0.001047482,0.0019090426,0.9934435,0.000018667315],"about_ca_topic_score_codex":0.010250817,"about_ca_topic_score_gemma":0.019468307,"teacher_disagreement_score":0.2608419,"about_ca_system_score_codex":0.003272051,"about_ca_system_score_gemma":0.0039357995,"threshold_uncertainty_score":0.8726031},"labels":[],"label_agreement":null},{"id":"W206268670","doi":"10.1007/978-3-642-00282-3_7","title":"The MDA-Based Ontology Infrastructure","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ontology; Bridge (graph theory); Computer science; Software engineering; Architecture; Process ontology; Data science; Knowledge management; World Wide Web; Geography; Epistemology; Medicine","score_opus":0.011825952365006262,"score_gpt":0.22165415220430323,"score_spread":0.20982819983929696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W206268670","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023087368,0.004112163,0.8553847,0.0034243846,0.000533924,0.00014097232,0.00067334063,0.0048678094,0.12855399],"genre_scores_gemma":[0.07163509,0.012181902,0.79897845,0.0014507863,0.00034665642,0.00042488833,0.005845623,0.0025261282,0.106610484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999169,0.00017459548,0.00008281552,0.00013196729,0.00037306652,0.000068650195],"domain_scores_gemma":[0.99915934,0.00024738908,0.000043659984,0.00032652213,0.00017674876,0.000046230507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015724795,0.00061756605,0.000416536,0.0021945743,0.0010075907,0.0051415963,0.0017044279,0.0013772,0.0071883546],"category_scores_gemma":[0.0028734568,0.00092017854,0.00086112093,0.002796643,0.0012595917,0.0086536715,0.0027078409,0.00318543,0.0054161446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010699515,0.00004672652,0.00018738171,0.00020515971,0.000019413197,0.000088522815,0.00041860485,0.0020384155,0.0022306852,0.77063125,0.03247683,0.19164626],"study_design_scores_gemma":[0.000005707097,0.000011392873,0.00023762695,0.00025158905,0.00002320237,0.00034243774,0.000108227796,0.009963199,0.0031676916,0.27053794,0.715332,0.000018993238],"about_ca_topic_score_codex":0.0037992205,"about_ca_topic_score_gemma":0.0036417127,"teacher_disagreement_score":0.0071883546,"about_ca_system_score_codex":0.0018624868,"about_ca_system_score_gemma":0.003255521,"threshold_uncertainty_score":0.024047434},"labels":[],"label_agreement":null},{"id":"W2063011099","doi":"10.1016/j.acalib.2004.06.007","title":"Academic Libraries and the Semantic Web: What the Future May Hold for Research-Supporting Library Catalogues","year":2004,"lang":"en","type":"article","venue":"The Journal of Academic Librarianship","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Metadata; World Wide Web; Computer science; Semantic Web; Linked data; Exploit; Semantic Web Stack; Information retrieval; Web standards; Web 2.0; Library science; Web service","score_opus":0.07704686381396345,"score_gpt":0.32726411074830947,"score_spread":0.250217246934346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063011099","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008001722,0.16040862,0.009647534,0.7698742,0.0066274605,0.000019139645,0.0005008013,0.00035699792,0.044563495],"genre_scores_gemma":[0.3731343,0.42359045,0.03416096,0.118525125,0.028274337,0.00011880293,0.0016084395,0.00025626778,0.020331306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961074,0.001865363,0.00020584013,0.00033114175,0.00082437013,0.0006659744],"domain_scores_gemma":[0.9689181,0.0189567,0.0016227148,0.0019274149,0.004425641,0.0041493787],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.015765911,0.0005866686,0.001141471,0.002687483,0.0043629725,0.02874212,0.0023719277,0.016145736,0.016503215],"category_scores_gemma":[0.017664475,0.00050170626,0.0013401309,0.006211112,0.015488758,0.08793351,0.004787009,0.00716247,0.0029485254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002480086,0.00015565325,0.0022903855,0.0011628926,0.000084869345,0.00018147848,0.0016893898,0.0009594623,0.00029664295,0.769188,0.11706991,0.10667325],"study_design_scores_gemma":[0.00002577959,0.00003231632,0.0010527516,0.0012564999,0.000046468802,0.00017041762,0.0076328483,0.0013698596,0.00015705958,0.6797682,0.30839863,0.000089227964],"about_ca_topic_score_codex":0.011695099,"about_ca_topic_score_gemma":0.013784354,"teacher_disagreement_score":0.97125787,"about_ca_system_score_codex":0.0054589305,"about_ca_system_score_gemma":0.010991063,"threshold_uncertainty_score":0.08337909},"labels":[],"label_agreement":null},{"id":"W2063839278","doi":"10.1680/iasma.14.00012","title":"Tangible capital asset ontology in infrastructure management","year":2014,"lang":"en","type":"article","venue":"Infrastructure Asset Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Asset (computer security); Ontology; Computer science; Asset management; Work (physics); Data exchange; Information infrastructure; Critical infrastructure; Knowledge management; Process management; Business; Information system; Computer security; World Wide Web; Finance; Engineering","score_opus":0.0038922984730798108,"score_gpt":0.21845475513361912,"score_spread":0.2145624566605393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063839278","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038377535,0.0008219528,0.8736591,0.0031410747,0.00024316281,0.00068510114,0.0022722285,0.0011999398,0.079599954],"genre_scores_gemma":[0.2819359,0.0014234334,0.6979903,0.0005933725,0.000059129852,0.00061145576,0.003968112,0.00021846054,0.013199787],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99752504,0.00062389555,0.00041723048,0.00026190505,0.00097202306,0.0001998421],"domain_scores_gemma":[0.99823064,0.00062686746,0.00021056054,0.00035449455,0.0004521463,0.00012526706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031055757,0.00037849715,0.00034548892,0.0033512006,0.0016126874,0.004755096,0.0013449071,0.001326213,0.0020609314],"category_scores_gemma":[0.0042502056,0.00051515177,0.0010504193,0.00472946,0.0024307244,0.00705857,0.0026242838,0.0021396035,0.0006307527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025876227,0.00009977169,0.0015911232,0.00026033664,0.000030357718,0.00047012052,0.0021272583,0.012818327,0.00198296,0.9192698,0.005390164,0.055934064],"study_design_scores_gemma":[0.000027579987,0.000054524644,0.003516051,0.00066475756,0.0000911363,0.0010500589,0.0032774322,0.10000761,0.0060688304,0.40992278,0.47520846,0.0001107041],"about_ca_topic_score_codex":0.030411927,"about_ca_topic_score_gemma":0.028674183,"teacher_disagreement_score":0.030411927,"about_ca_system_score_codex":0.003981517,"about_ca_system_score_gemma":0.0073381043,"threshold_uncertainty_score":0.060469806},"labels":[],"label_agreement":null},{"id":"W2064319571","doi":"10.1109/iri.2014.7051978","title":"An extension to the data-driven ontology evaluation","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Ontology; Semantic Web; Upper ontology; Information retrieval; Ontology-based data integration; Process ontology; Domain (mathematical analysis); Artifact (error); OWL-S; Reuse; Social Semantic Web; Artificial intelligence; Mathematics","score_opus":0.09985957270898482,"score_gpt":0.3571280294689362,"score_spread":0.25726845675995136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064319571","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024730302,0.00048457965,0.9398752,0.0025521456,0.00023705783,0.0009190994,0.0008745456,0.00027812013,0.030048907],"genre_scores_gemma":[0.3842262,0.0004065639,0.6080764,0.00069037627,0.00014021646,0.0011187728,0.0009067186,0.00017823896,0.004256586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96093667,0.016246941,0.0029780578,0.003437528,0.015545772,0.000855006],"domain_scores_gemma":[0.9336218,0.035809144,0.0037772122,0.010567179,0.015273709,0.00095096586],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.029849216,0.00085766043,0.0011647287,0.005194989,0.0015671282,0.007872553,0.0021893564,0.0015462177,0.003696416],"category_scores_gemma":[0.11229376,0.00053176784,0.0015697007,0.00752535,0.0041242936,0.010886316,0.0072690374,0.0020263696,0.0005473833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020252637,0.00026500042,0.011850579,0.00054543733,0.00015892703,0.0002452526,0.0027638641,0.009393786,0.0020091801,0.74721617,0.0035271826,0.22182216],"study_design_scores_gemma":[0.000052211948,0.00013896496,0.0039383247,0.00040580487,0.00008932356,0.00032620944,0.00094075303,0.09342584,0.0053312443,0.85655254,0.03868003,0.00011862601],"about_ca_topic_score_codex":0.0032228273,"about_ca_topic_score_gemma":0.002584743,"teacher_disagreement_score":0.97015077,"about_ca_system_score_codex":0.004168516,"about_ca_system_score_gemma":0.005019118,"threshold_uncertainty_score":0.15785962},"labels":[],"label_agreement":null},{"id":"W2065250213","doi":"10.1142/s0218843011002249","title":"SCHEMA MEDIATION IN PEER DATA MANAGEMENT SYSTEMS","year":2011,"lang":"en","type":"article","venue":"International Journal of Cooperative Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Schema (genetic algorithms); Data sharing; Data management; Peer-to-peer; Database schema; Information retrieval; World Wide Web; Database; Database design","score_opus":0.06540175308036864,"score_gpt":0.2999038806387846,"score_spread":0.23450212755841596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065250213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029569257,0.0019485375,0.9484808,0.001907353,0.00022399004,0.00056096615,0.0002083608,0.007995486,0.009105215],"genre_scores_gemma":[0.43044582,0.0017518877,0.55592674,0.0006785865,0.00023070576,0.0006595345,0.00088992633,0.0010553383,0.008361452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98281544,0.0069491942,0.0018151755,0.0023737678,0.005276224,0.0007702226],"domain_scores_gemma":[0.9824263,0.0066670584,0.0009628323,0.0077123125,0.0015016727,0.0007298957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015272448,0.00061617355,0.001190749,0.0017956105,0.0028528639,0.006849248,0.0047792555,0.002875373,0.0039031527],"category_scores_gemma":[0.026205493,0.0014159253,0.0012410844,0.0029189778,0.003183712,0.012047682,0.008871988,0.002783948,0.001400611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005681165,0.0004257476,0.00953284,0.0011706407,0.00056037033,0.0021387413,0.008060918,0.04769444,0.019787759,0.51445043,0.015109257,0.38050085],"study_design_scores_gemma":[0.00026149658,0.0002356245,0.0013110576,0.0002755193,0.00028393493,0.001335704,0.0015938894,0.22839388,0.036823306,0.46716568,0.26208076,0.00023923199],"about_ca_topic_score_codex":0.0030165063,"about_ca_topic_score_gemma":0.0017588716,"teacher_disagreement_score":0.015272448,"about_ca_system_score_codex":0.0016089045,"about_ca_system_score_gemma":0.002966485,"threshold_uncertainty_score":0.08076942},"labels":[],"label_agreement":null},{"id":"W2066407644","doi":"10.1145/1041410.1041416","title":"Kanata","year":2004,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Metadata; Focus (optics); World Wide Web; Database; Software engineering","score_opus":0.02648632253714379,"score_gpt":0.25709268722599943,"score_spread":0.23060636468885565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066407644","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010112878,0.0105389515,0.03771711,0.020389546,0.0062189065,0.00050251,0.013682659,0.017416028,0.8834215],"genre_scores_gemma":[0.031197729,0.0036236215,0.017969895,0.0020305265,0.00029680145,0.00018234854,0.0081058135,0.002522501,0.9340708],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976,0.00025363674,0.000074182564,0.00053578865,0.0011340476,0.0004022826],"domain_scores_gemma":[0.99551153,0.00028657427,0.00010782188,0.0006978338,0.0018042111,0.0015920459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002257729,0.00088274846,0.00088074896,0.0020544874,0.0055448036,0.00907957,0.0015177765,0.0019012585,0.1817472],"category_scores_gemma":[0.004455176,0.0008199981,0.00070989324,0.0031996379,0.0018802582,0.0035964001,0.005626833,0.002059986,0.113291286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003583202,0.00005854254,0.0025659606,0.0004562815,0.000021840313,0.00039645447,0.002621094,0.00039001595,0.0031258578,0.07154197,0.72418755,0.19427603],"study_design_scores_gemma":[0.00001369405,0.000010764022,0.0005036806,0.000037958253,0.00000867451,0.00006356296,0.00032326794,0.00015802341,0.0005434742,0.0020070535,0.99631447,0.000015358184],"about_ca_topic_score_codex":0.20290878,"about_ca_topic_score_gemma":0.3954291,"teacher_disagreement_score":0.20290878,"about_ca_system_score_codex":0.011326221,"about_ca_system_score_gemma":0.016166715,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2066986855","doi":"10.1007/s10817-014-9304-2","title":"Absorption for ABoxes","year":2014,"lang":"en","type":"article","venue":"Journal of Automated Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; Description logic; RDF; Conjunctive query; Negation; Computer science; Logical consequence; Knowledge base; Web Ontology Language; RDF Schema; Ontology; Theoretical computer science; Graph; Class (philosophy); Semantics (computer science); Semantic Web; Relational database; Information retrieval; Programming language; Artificial intelligence; Epistemology","score_opus":0.010980371768939567,"score_gpt":0.26614270668747114,"score_spread":0.2551623349185316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066986855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047288157,0.0010151016,0.8907417,0.0028548087,0.00033543093,0.00013848288,0.0005427173,0.0029974915,0.05408618],"genre_scores_gemma":[0.5552073,0.00091948843,0.40313533,0.0012237347,0.00047851563,0.00021589597,0.0016788022,0.0015368985,0.035604056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960814,0.0012618448,0.00043147514,0.00080535177,0.00090552017,0.0005144277],"domain_scores_gemma":[0.98731726,0.007989402,0.0004474595,0.0024500235,0.0015288928,0.00026697502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003579282,0.0009362386,0.0010040858,0.0032837882,0.0024936693,0.004322623,0.001804225,0.0019318131,0.014532915],"category_scores_gemma":[0.012024061,0.0017156376,0.002772306,0.0025444855,0.002751907,0.016065197,0.0054607866,0.0060423333,0.0029152136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073818235,0.00006952328,0.0005892388,0.00014936047,0.00004026478,0.00026271687,0.0007792838,0.0008284361,0.0021096861,0.9581532,0.003602166,0.03334237],"study_design_scores_gemma":[0.00001734914,0.000019402025,0.00018163417,0.00006278833,0.00005720973,0.00038407755,0.00023234134,0.0069574695,0.0032865636,0.973488,0.015289313,0.000023853772],"about_ca_topic_score_codex":0.0018597726,"about_ca_topic_score_gemma":0.0019396435,"teacher_disagreement_score":0.014532915,"about_ca_system_score_codex":0.0015668814,"about_ca_system_score_gemma":0.0011428234,"threshold_uncertainty_score":0.048617482},"labels":[],"label_agreement":null},{"id":"W2067415764","doi":"10.1109/fuzz-ieee.2013.6622491","title":"A FML-based hybrid reasoner combining fuzzy ontology and Mamdani inference","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Semantic reasoner; Computer science; Neuro-fuzzy; Ontology; Artificial intelligence; Fuzzy logic; Adaptive neuro fuzzy inference system; Fuzzy classification; Fuzzy set operations; Data mining; Fuzzy control system; Machine learning; Information retrieval","score_opus":0.01704135266853088,"score_gpt":0.2418803205911425,"score_spread":0.22483896792261163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067415764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033848663,0.00011879069,0.9894224,0.00019773984,0.00004126343,0.000110998815,0.00023725793,0.004675242,0.0018113261],"genre_scores_gemma":[0.08925633,0.000112512425,0.9065555,0.0002822577,0.000031449752,0.00019557688,0.0005471095,0.00013316849,0.0028860345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903333,0.00018890909,0.00011273469,0.00022767257,0.0003720346,0.00006521634],"domain_scores_gemma":[0.99933547,0.00029613168,0.00004694343,0.000103459555,0.00019240292,0.000025533222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001742292,0.0007698092,0.0012663961,0.0013373852,0.0007905697,0.0017423908,0.0017750931,0.0015353718,0.0043148333],"category_scores_gemma":[0.0025560837,0.0004909334,0.0015462097,0.0007981585,0.0005593341,0.00168159,0.0010318953,0.0011464801,0.0016635949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003772781,0.00039171032,0.0016844601,0.000839221,0.00042837593,0.0009104837,0.00059418037,0.23537709,0.028725138,0.060333967,0.016519774,0.6538183],"study_design_scores_gemma":[0.0000530492,0.000044729968,0.00030931452,0.00004763011,0.000078307035,0.00019226207,0.000048243888,0.96288556,0.008404004,0.013792157,0.014103524,0.000041257706],"about_ca_topic_score_codex":0.010244966,"about_ca_topic_score_gemma":0.012205913,"teacher_disagreement_score":0.010244966,"about_ca_system_score_codex":0.0013272808,"about_ca_system_score_gemma":0.0014439443,"threshold_uncertainty_score":0.020370662},"labels":[],"label_agreement":null},{"id":"W2068516765","doi":"10.5539/cis.v3n3p134","title":"Research on Patent Model Integration Based on Ontology","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shanghai Leading Academic Discipline Project; National Natural Science Foundation of China","keywords":"Computer science; Ontology; Semantics (computer science); Extensibility; Ontology-based data integration; Representation (politics); Software engineering; Openness to experience; Knowledge representation and reasoning; Description logic; Web Ontology Language; Information retrieval; Programming language; Artificial intelligence; Semantic Web","score_opus":0.10666309596739662,"score_gpt":0.34600219795613374,"score_spread":0.23933910198873712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068516765","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014758709,0.0024731476,0.95961326,0.0012738324,0.00012073216,0.00015613937,0.00008009247,0.000657209,0.020866865],"genre_scores_gemma":[0.3583498,0.005985407,0.6272549,0.00045627842,0.00017973267,0.0003797002,0.00079100474,0.00026251987,0.006340561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99512297,0.0014430889,0.00039051732,0.0007058281,0.002051761,0.00028585273],"domain_scores_gemma":[0.99684876,0.0012496195,0.00024350427,0.0007975416,0.0007624466,0.00009812161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005226302,0.00078858744,0.0013233413,0.0037382268,0.0012217124,0.004892641,0.0025742475,0.0015611277,0.0030251474],"category_scores_gemma":[0.011144887,0.00071859895,0.0022703337,0.0068030804,0.0016021149,0.019532762,0.0030722984,0.0018444186,0.0006674436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050895203,0.0002355281,0.0017983711,0.00038039344,0.00018762652,0.0002481228,0.00073511124,0.03837588,0.0036961762,0.7608755,0.002314322,0.19110188],"study_design_scores_gemma":[0.00004269767,0.000083966326,0.0008399796,0.00026441435,0.00024423865,0.0003678957,0.00056446966,0.52052623,0.008064685,0.41396877,0.05496377,0.00006883747],"about_ca_topic_score_codex":0.0064472533,"about_ca_topic_score_gemma":0.002362546,"teacher_disagreement_score":0.0064472533,"about_ca_system_score_codex":0.0022603138,"about_ca_system_score_gemma":0.003053784,"threshold_uncertainty_score":0.027639627},"labels":[],"label_agreement":null},{"id":"W2068635035","doi":"10.1177/1473871612438787","title":"Introduction to the VAST 2010 Special Issue–Special Issue of best papers of Visual Analytics Science and Technology (VAST) 2010","year":2012,"lang":"en","type":"article","venue":"Information Visualization","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science","score_opus":0.010891021170044717,"score_gpt":0.2792262619442108,"score_spread":0.2683352407741661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068635035","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010431977,0.08425963,0.009181634,0.054545086,0.7590031,0.00019185082,0.004046794,0.0021092729,0.0856195],"genre_scores_gemma":[0.006707131,0.077292755,0.0070715435,0.021338802,0.4170789,0.00025877176,0.010035494,0.0035369352,0.4566797],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981109,0.00021018441,0.00021349249,0.00027278226,0.0009956887,0.00019697694],"domain_scores_gemma":[0.98808795,0.0017932786,0.00079974224,0.00072659896,0.0060989815,0.0024933813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002850659,0.0014702554,0.0022630093,0.011660658,0.0017731214,0.01090316,0.0016836599,0.0022114706,0.11925337],"category_scores_gemma":[0.009559552,0.00057430484,0.0012867128,0.009634257,0.0008126473,0.005972028,0.0029110915,0.0030945102,0.07795706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012040262,0.00001102969,0.000035661633,0.000118553304,0.0000048418497,0.000012040502,0.000006378358,0.000031537802,0.00013864542,0.00059174787,0.98211735,0.016920209],"study_design_scores_gemma":[0.000004958024,0.000011928055,0.0003096749,0.000167077,0.000012675062,0.000071742375,0.000027095088,0.000113490576,0.00012848938,0.0011514007,0.99799085,0.000010592875],"about_ca_topic_score_codex":0.0030757734,"about_ca_topic_score_gemma":0.00931894,"teacher_disagreement_score":0.11925337,"about_ca_system_score_codex":0.0022526262,"about_ca_system_score_gemma":0.0035148137,"threshold_uncertainty_score":0.39894223},"labels":[],"label_agreement":null},{"id":"W2068782693","doi":"10.1145/1132736.1132777","title":"Logiciel d'annotation pour la conception de cours sur le web sémantique","year":2006,"lang":"fr","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Semantic Web; World Wide Web; Web page; Annotation; Semantic Web Stack; Context (archaeology); Java; Information retrieval; Artificial intelligence; Programming language","score_opus":0.03197920864416717,"score_gpt":0.2565893041583707,"score_spread":0.22461009551420355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068782693","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019100693,0.003046762,0.9736743,0.003680303,0.0005985315,0.00010397595,0.00031085478,0.0011061867,0.015569051],"genre_scores_gemma":[0.108649574,0.013118876,0.8307826,0.002350911,0.0029017197,0.0010046976,0.002206928,0.001021684,0.03796301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9913292,0.0032840113,0.0006158516,0.0010535271,0.003400973,0.00031643122],"domain_scores_gemma":[0.9919093,0.004938114,0.0004161102,0.00092237245,0.0014613022,0.0003527987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011318688,0.002636205,0.002128969,0.0060889046,0.0041369,0.014714249,0.0030169468,0.005655045,0.011009557],"category_scores_gemma":[0.013799011,0.001786454,0.0050861286,0.006911149,0.012553399,0.023484575,0.0037404487,0.017106943,0.0060913693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040378258,0.000033115946,0.00018315758,0.00020455125,0.000044688604,0.00021661179,0.00058734365,0.0016246025,0.00089188403,0.9682068,0.004378542,0.023588212],"study_design_scores_gemma":[0.0000709515,0.00004542689,0.0007229737,0.0003544209,0.00005547922,0.00043461885,0.00048318252,0.03206512,0.0023632317,0.77842104,0.18487564,0.000107820924],"about_ca_topic_score_codex":0.03414921,"about_ca_topic_score_gemma":0.014701223,"teacher_disagreement_score":0.03414921,"about_ca_system_score_codex":0.007465493,"about_ca_system_score_gemma":0.0043599512,"threshold_uncertainty_score":0.06790084},"labels":[],"label_agreement":null},{"id":"W2068802245","doi":"10.1353/ils.2011.0002","title":"Folksonomies, Social Tagging and Scholarly Articles / Les folksonomies, l'étiquetage social et les articles scientifiques","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Folksonomy; Search engine indexing; Control (management); Computer science; Information retrieval; Thesaurus; Power (physics); World Wide Web; Sociology","score_opus":0.05581622762878354,"score_gpt":0.23017925695983013,"score_spread":0.17436302933104658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068802245","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06647598,0.18761635,0.20128684,0.09289192,0.0059334515,0.00027618426,0.0010051966,0.0008080156,0.4437061],"genre_scores_gemma":[0.72295886,0.085823335,0.10479621,0.0061130156,0.007368776,0.00048585847,0.00083329174,0.00053464185,0.071086064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99056643,0.0046495255,0.0009153062,0.0007151662,0.0027637072,0.00038997852],"domain_scores_gemma":[0.9537153,0.032677412,0.0053483807,0.0027283048,0.0045527397,0.0009777622],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.012692036,0.0006578047,0.00087001175,0.017856011,0.0059375246,0.024013404,0.0010006131,0.0022493706,0.004696921],"category_scores_gemma":[0.026435398,0.00052519323,0.0006541537,0.031099021,0.025147012,0.030057019,0.0032259705,0.0022927457,0.0010828984],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003366745,0.000024364503,0.0015438424,0.00035789853,0.000034477653,0.00007706828,0.011657514,0.00027968574,0.0003230955,0.9134369,0.00872722,0.063504286],"study_design_scores_gemma":[0.000017483037,0.00001902918,0.005118561,0.00083658437,0.000038313916,0.000345547,0.014474271,0.001358029,0.00095559616,0.79603225,0.18071675,0.00008755902],"about_ca_topic_score_codex":0.012106166,"about_ca_topic_score_gemma":0.012927382,"teacher_disagreement_score":0.9759866,"about_ca_system_score_codex":0.00607036,"about_ca_system_score_gemma":0.004184429,"threshold_uncertainty_score":0.0671227},"labels":[],"label_agreement":null},{"id":"W2070307283","doi":"10.1109/hicss.2012.628","title":"Using Ontologies and Soft Systems Methodology to Provide Multi-user Support in Problem Structuring","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Decision support system; Ontology; Information system; Knowledge management; Structuring; Stakeholder; Soft systems methodology; Scope (computer science); Business process; Negotiation; Task (project management); Data science; Process management; Management information systems; Artificial intelligence; Work in process","score_opus":0.20614967608292067,"score_gpt":0.3662783130212692,"score_spread":0.1601286369383485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070307283","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026882074,0.0005006141,0.9851975,0.0013963092,0.00007434794,0.000118308606,0.000029384813,0.00017756481,0.009817762],"genre_scores_gemma":[0.07335298,0.0008556215,0.9220141,0.0004571089,0.00013260714,0.00043675263,0.00010134728,0.00007494863,0.0025745407],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9889264,0.007105498,0.0010201562,0.00087159686,0.0018110563,0.00026524212],"domain_scores_gemma":[0.97970414,0.015177867,0.0011535002,0.0024806825,0.000995931,0.000487748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012626714,0.001233922,0.0009391141,0.006040598,0.0021984212,0.0067747096,0.0021737837,0.002044917,0.0053797103],"category_scores_gemma":[0.015368062,0.00082097074,0.0022913476,0.0037288072,0.0091742985,0.012181044,0.0076078274,0.0034548433,0.0010150514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027328488,0.00009425977,0.0006582376,0.0005388868,0.00009701938,0.00025378398,0.0035654951,0.012077672,0.0016730872,0.90470845,0.0015708996,0.07473484],"study_design_scores_gemma":[0.000035045832,0.000061932915,0.00031476194,0.00035628377,0.00004009657,0.00018806051,0.00086244405,0.05234742,0.0016121952,0.89272594,0.05139568,0.00006015776],"about_ca_topic_score_codex":0.0025441055,"about_ca_topic_score_gemma":0.0042670127,"teacher_disagreement_score":0.012626714,"about_ca_system_score_codex":0.0027251574,"about_ca_system_score_gemma":0.004725233,"threshold_uncertainty_score":0.06677723},"labels":[],"label_agreement":null},{"id":"W207039527","doi":"","title":"Fuzziness in the Semantic Web: Survey and Future Directions.","year":2008,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Semantic Web; Social Semantic Web; World Wide Web; Information retrieval; Data science","score_opus":0.01350267997103201,"score_gpt":0.21203776370813257,"score_spread":0.19853508373710055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W207039527","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024134506,0.7427513,0.19014706,0.023716176,0.00058489136,0.0000613975,0.00024956433,0.00044788347,0.017907305],"genre_scores_gemma":[0.29483357,0.5916587,0.10511349,0.0029830155,0.0021755446,0.00011272446,0.00057803444,0.00008337901,0.00246157],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996627,0.00082907616,0.00030905005,0.0005001838,0.0015954578,0.00013927266],"domain_scores_gemma":[0.9786596,0.017901821,0.00071067485,0.0012146096,0.0013165465,0.0001966964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068728463,0.0006310251,0.0016752987,0.004591732,0.0009723794,0.006211062,0.0023616215,0.0025223994,0.002005911],"category_scores_gemma":[0.017781138,0.0005497744,0.00077973044,0.006648046,0.0039018865,0.015900653,0.002475053,0.0025777698,0.00037343003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011994864,0.00016733089,0.011141663,0.0038258487,0.00021419549,0.0003334809,0.0010900403,0.0065724426,0.0010317297,0.3294859,0.00894886,0.6370687],"study_design_scores_gemma":[0.000017154274,0.000081785794,0.0037132793,0.0023746588,0.00015521032,0.0015240503,0.0016804042,0.023124458,0.0017964398,0.87663746,0.088809595,0.000085411644],"about_ca_topic_score_codex":0.0018749876,"about_ca_topic_score_gemma":0.0023117594,"teacher_disagreement_score":0.0068728463,"about_ca_system_score_codex":0.0018199501,"about_ca_system_score_gemma":0.0019790537,"threshold_uncertainty_score":0.03634751},"labels":[],"label_agreement":null},{"id":"W2070694625","doi":"10.1002/bult.2012.1720380410","title":"Interactive visualization for multilingual search","year":2012,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University; University of Alberta","funders":"","keywords":"Computer science; Visualization; Interface (matter); Information retrieval; Context (archaeology); Human–computer interaction; User interface; Information visualization; World Wide Web; Interactive visualization; Visual search; Artificial intelligence; Programming language","score_opus":0.018331465063697653,"score_gpt":0.3187186415651916,"score_spread":0.30038717650149394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070694625","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08297256,0.013841451,0.60102147,0.0127234105,0.0069554104,0.00094145874,0.006189103,0.085513376,0.18984176],"genre_scores_gemma":[0.4311938,0.0053674495,0.47689176,0.0023664495,0.0034565544,0.001456364,0.005820541,0.008129018,0.06531807],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991364,0.00040209317,0.00006749761,0.00007453555,0.0002749825,0.00004442168],"domain_scores_gemma":[0.9916283,0.006116741,0.0001828938,0.0005173436,0.0013200466,0.00023473034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579973,0.00076896825,0.00045672845,0.0011093768,0.0004209149,0.0026920484,0.00082553126,0.0005547926,0.059468474],"category_scores_gemma":[0.0101847695,0.00016920736,0.00038323828,0.00096063013,0.00036480546,0.002208599,0.0019270878,0.00066936517,0.0048489245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014646939,0.00025676956,0.0011517688,0.002478118,0.00009172697,0.0008427027,0.003340059,0.003257518,0.024627905,0.035656188,0.42367536,0.5031572],"study_design_scores_gemma":[0.00039038374,0.00025977177,0.0019134223,0.0006223363,0.000108863875,0.0006376252,0.00086599175,0.03665903,0.014688384,0.02189692,0.92183,0.0001272636],"about_ca_topic_score_codex":0.0007254252,"about_ca_topic_score_gemma":0.0010447794,"teacher_disagreement_score":0.059468474,"about_ca_system_score_codex":0.0004904479,"about_ca_system_score_gemma":0.00038198626,"threshold_uncertainty_score":0.19894189},"labels":[],"label_agreement":null},{"id":"W2071203036","doi":"10.1002/bult.216","title":"Exoinformation &amp; Interface Design","year":2001,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Legislation; Privacy by Design; Bureaucracy; Privacy policy; Product (mathematics); Personally identifiable information; Information privacy; Privacy law; The Internet; Harm; Politics; Public relations; Law and economics; Business; Computer science; Computer security; Political science; Law; Sociology; World Wide Web","score_opus":0.021666109361020636,"score_gpt":0.26867049646430785,"score_spread":0.2470043871032872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071203036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009070576,0.0016676399,0.6652347,0.0016874761,0.0012580055,0.00047213532,0.0013452001,0.0205173,0.29874697],"genre_scores_gemma":[0.1634352,0.0017229511,0.24560843,0.0018274076,0.00024848216,0.0010282948,0.0030170782,0.004098984,0.5790131],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840766,0.00045263552,0.00013486015,0.00023583772,0.0006266824,0.00014239413],"domain_scores_gemma":[0.9990312,0.00020574481,0.000065620916,0.00036155447,0.0002820753,0.000053727766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013751424,0.0011212982,0.00046579257,0.001072413,0.0007629796,0.0047218325,0.0018599365,0.0018215618,0.16508517],"category_scores_gemma":[0.004137411,0.00040349114,0.00062302663,0.00094905746,0.00085237337,0.0042948136,0.002724928,0.0008035716,0.059115868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045931072,0.00016001848,0.0016830253,0.0007887977,0.00004141183,0.0008350941,0.0013925664,0.0021056994,0.0227501,0.12776232,0.15622981,0.6857918],"study_design_scores_gemma":[0.00004678155,0.00012954045,0.00096401013,0.00017881593,0.000029383673,0.0010305849,0.00032922236,0.014064407,0.012928948,0.025266042,0.9449874,0.00004496313],"about_ca_topic_score_codex":0.0010069093,"about_ca_topic_score_gemma":0.0008374657,"teacher_disagreement_score":0.16508517,"about_ca_system_score_codex":0.0005871822,"about_ca_system_score_gemma":0.00042045338,"threshold_uncertainty_score":0.5522649},"labels":[],"label_agreement":null},{"id":"W2072989024","doi":"10.5539/cis.v4n1p191","title":"Testing the Accuracy of Text Deconstruction using PTree tool.","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Correctness; Parsing; Java; Flexibility (engineering); Parse tree; Natural language processing; Tree (set theory); Relation (database); Graph; Artificial intelligence; Deconstruction (building); Information retrieval; Data mining; Programming language; Theoretical computer science","score_opus":0.0334399648596728,"score_gpt":0.2714240840055207,"score_spread":0.2379841191458479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072989024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5499464,0.0014709377,0.39659256,0.00060127117,0.0003278705,0.0006535755,0.005788018,0.035498437,0.009121026],"genre_scores_gemma":[0.55881965,0.0004863612,0.41647217,0.0001807208,0.000038589867,0.00029929646,0.01597711,0.002221985,0.0055041825],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9942729,0.0019064165,0.0006348921,0.0011885862,0.0017816096,0.0002156197],"domain_scores_gemma":[0.9326761,0.047794685,0.0025329257,0.00873569,0.0077898046,0.0004709054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058073727,0.0008043952,0.0005114429,0.0035005813,0.000563587,0.0016347886,0.0012863918,0.0010267107,0.0027202985],"category_scores_gemma":[0.05560371,0.0003200968,0.0006452002,0.0027287016,0.0007413766,0.0038252887,0.002294973,0.0009944035,0.0018997977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022549795,0.0009972405,0.030138379,0.0015654936,0.00040395232,0.0017993505,0.0064543644,0.033715453,0.060836073,0.008391555,0.016568774,0.83687437],"study_design_scores_gemma":[0.00033451233,0.0022473563,0.06831431,0.00038948923,0.00032573007,0.0064822515,0.0045583374,0.5652201,0.24352624,0.010996492,0.09727353,0.0003316579],"about_ca_topic_score_codex":0.0032189023,"about_ca_topic_score_gemma":0.003418374,"teacher_disagreement_score":0.0058073727,"about_ca_system_score_codex":0.00042126517,"about_ca_system_score_gemma":0.00067077234,"threshold_uncertainty_score":0.030712664},"labels":[],"label_agreement":null},{"id":"W2073165288","doi":"10.1007/s10817-007-9092-z","title":"On Keys and Functional Dependencies as First-Class Citizens in Description Logics","year":2007,"lang":"en","type":"article","venue":"Journal of Automated Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decidability; Negation; Dependency theory (database theory); Identification (biology); Scope (computer science); Class (philosophy); Functional dependency; Constraint (computer-aided design); Monotone polygon; Computer science; Conjunctive normal form; Mathematics; Theoretical computer science; Logical consequence; Simple (philosophy); Discrete mathematics; Programming language; Artificial intelligence; Epistemology; Data mining","score_opus":0.01880295743059998,"score_gpt":0.24981032957761376,"score_spread":0.23100737214701378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073165288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04770183,0.0013472721,0.9258347,0.0044789775,0.0002419498,0.000107668086,0.00050196314,0.0005174916,0.019268034],"genre_scores_gemma":[0.6966978,0.002539078,0.2850409,0.0014918387,0.00051444286,0.00026215074,0.0012348236,0.0005363284,0.011682827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99358267,0.002831305,0.0006006842,0.0010510031,0.001168193,0.00076613756],"domain_scores_gemma":[0.97271717,0.02170031,0.0008277175,0.0029085448,0.0010984461,0.00074776437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0102725765,0.0009674131,0.0018181128,0.0030528943,0.0032986011,0.00820861,0.0032575473,0.0032006039,0.0049811234],"category_scores_gemma":[0.023347616,0.0018591292,0.0037081796,0.004514175,0.010695004,0.041058753,0.005413204,0.0072183087,0.00072669494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003960033,0.000019542918,0.00028580407,0.000036348698,0.000010352454,0.000059095433,0.00041851902,0.0018861756,0.00013839376,0.9897682,0.0006003719,0.006737531],"study_design_scores_gemma":[0.000010240074,0.0000051016928,0.00003850473,0.000018689216,0.00002168539,0.000023327437,0.00008551623,0.0073574004,0.00022752213,0.99064636,0.001556272,0.000009413548],"about_ca_topic_score_codex":0.0087463055,"about_ca_topic_score_gemma":0.0068405024,"teacher_disagreement_score":0.0102725765,"about_ca_system_score_codex":0.0039003505,"about_ca_system_score_gemma":0.0022260414,"threshold_uncertainty_score":0.05432725},"labels":[],"label_agreement":null},{"id":"W2073390485","doi":"10.1016/j.datak.2004.10.001","title":"Extracting conceptual relationships from specialized documents","year":2004,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Variety (cybernetics); Granularity; Data science; Conceptual model; Representation (politics); Management science; Scientific modelling; Conceptual framework; Knowledge management; Data mining; Artificial intelligence; Database; Engineering","score_opus":0.09260547872331132,"score_gpt":0.29443267366585935,"score_spread":0.20182719494254803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073390485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20150718,0.0038445953,0.7502148,0.0017238489,0.0003215769,0.0011387038,0.016191669,0.0075510573,0.017506488],"genre_scores_gemma":[0.23544286,0.0028568832,0.70901805,0.00023221699,0.00016042551,0.00031477082,0.04660063,0.0006619185,0.004712262],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881136,0.00019479086,0.00020766845,0.00027486897,0.0004064497,0.00010484735],"domain_scores_gemma":[0.9951526,0.0022852712,0.00041399308,0.00097252487,0.0009807583,0.00019486349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011627361,0.0011237769,0.0012922168,0.010751344,0.0014016312,0.0034246596,0.0015488585,0.0017413212,0.005136579],"category_scores_gemma":[0.009829368,0.0008987123,0.0017604931,0.011093687,0.0006845728,0.006271967,0.0022714227,0.0018121524,0.0031802831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037693337,0.0006635707,0.009350288,0.0023135485,0.00027803055,0.0032832988,0.002726171,0.005776055,0.046331298,0.05674441,0.026557723,0.8455987],"study_design_scores_gemma":[0.00036323786,0.00060742145,0.029302014,0.0018491498,0.0024725276,0.008845833,0.00867554,0.24691892,0.117809534,0.25668997,0.32616147,0.00030446457],"about_ca_topic_score_codex":0.0043747327,"about_ca_topic_score_gemma":0.0069154473,"teacher_disagreement_score":0.010751344,"about_ca_system_score_codex":0.0011288332,"about_ca_system_score_gemma":0.00308841,"threshold_uncertainty_score":0.017183542},"labels":[],"label_agreement":null},{"id":"W2073757069","doi":"10.1016/j.ijar.2009.05.005","title":"Special Track on Uncertain Reasoning of the 19th International Florida Artificial Intelligence Research Symposium (FLAIRS 2006)","year":2009,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Saskatchewan","funders":"","keywords":"Track (disk drive); Artificial intelligence; Computer science; Operations research; Engineering","score_opus":0.05382622253746511,"score_gpt":0.3454472450267707,"score_spread":0.2916210224893056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073757069","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067301597,0.06688905,0.061017483,0.063373215,0.5908255,0.0010958823,0.0045733647,0.0028935361,0.20260191],"genre_scores_gemma":[0.01803001,0.028265767,0.014121901,0.005148692,0.17561571,0.00033836009,0.0071245874,0.0011980444,0.750157],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998382,0.00030150448,0.00009667304,0.00036230357,0.0006138555,0.00024370791],"domain_scores_gemma":[0.99205595,0.0012193694,0.00025504755,0.000488936,0.0039647114,0.0020159218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047197333,0.0016453745,0.002669778,0.0023808607,0.0020752954,0.0072836624,0.002111784,0.0026702476,0.16436788],"category_scores_gemma":[0.0048057167,0.00055752735,0.0014750978,0.002446421,0.0007078612,0.00566983,0.0030810295,0.003319997,0.05739529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020091422,0.00009618178,0.0002575419,0.00016772927,0.000020934782,0.000069419126,0.0000349652,0.00027549907,0.00049541594,0.0019566212,0.9171817,0.07924307],"study_design_scores_gemma":[0.000072518305,0.00019797694,0.0015448331,0.0002679512,0.00006546892,0.00018646233,0.00013627393,0.0033942668,0.0011324845,0.006064482,0.98689264,0.000044704295],"about_ca_topic_score_codex":0.005102011,"about_ca_topic_score_gemma":0.012707138,"teacher_disagreement_score":0.16436788,"about_ca_system_score_codex":0.002373631,"about_ca_system_score_gemma":0.0028981185,"threshold_uncertainty_score":0.54986537},"labels":[],"label_agreement":null},{"id":"W2073971205","doi":"10.5715/jnlp.7.2_117","title":"The Exploration and Analysis of Using Multiple Thesaurus Types for Query Expansion in Information Retrieval.","year":2000,"lang":"en","type":"article","venue":"Journal of Natural Language Processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; York University","keywords":"Thesaurus; Information retrieval; Query expansion; Computer science; Natural language processing","score_opus":0.017030922780763687,"score_gpt":0.28357993317831415,"score_spread":0.26654901039755047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073971205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15280297,0.010310872,0.8228758,0.0012792762,0.00014552091,0.00155311,0.00078477006,0.0017821436,0.008465605],"genre_scores_gemma":[0.2624173,0.0020035168,0.731969,0.00019511928,0.00007939637,0.0005589662,0.0008779292,0.00018968181,0.0017090781],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921754,0.004461875,0.00078312895,0.0005837692,0.0018572609,0.00013850587],"domain_scores_gemma":[0.9799457,0.014270612,0.0011616511,0.0018906399,0.0024426298,0.00028870456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008368365,0.0006309839,0.00091470784,0.0065657236,0.000932851,0.0019497139,0.0013511131,0.0008385753,0.0014765742],"category_scores_gemma":[0.02976194,0.00067235285,0.0012870689,0.004403377,0.0009591386,0.00648105,0.001508527,0.00072122837,0.000678918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009170882,0.0005097411,0.010139327,0.002651305,0.00052935525,0.00067822536,0.003083069,0.0109929275,0.051201504,0.023373246,0.005774187,0.89015007],"study_design_scores_gemma":[0.00044181728,0.0024083534,0.043113634,0.0019156504,0.0024188946,0.012789395,0.005792365,0.5754301,0.14883,0.076744914,0.12920792,0.00090695533],"about_ca_topic_score_codex":0.0023231956,"about_ca_topic_score_gemma":0.0026421405,"teacher_disagreement_score":0.008368365,"about_ca_system_score_codex":0.00082633714,"about_ca_system_score_gemma":0.0014966925,"threshold_uncertainty_score":0.044256628},"labels":[],"label_agreement":null},{"id":"W2074638848","doi":"10.1109/geoinformatics.2009.5293420","title":"Reconciling inconsistent perspectives in collaborative GIS using multi-agent method","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Negotiation; Workflow; Voting; Autonomy; Process (computing); Collaborative software; Multi-agent system; Knowledge management; Human–computer interaction; Management science; Artificial intelligence; Database; Engineering","score_opus":0.09214257934105603,"score_gpt":0.3648928845221141,"score_spread":0.2727503051810581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074638848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065181907,0.0001514503,0.9912862,0.00019231961,0.000035268284,0.000051177278,0.0000126814075,0.00015841324,0.0015942922],"genre_scores_gemma":[0.13935007,0.00017492796,0.8591814,0.000068076726,0.00003990872,0.00013339763,0.000059540143,0.00008299546,0.0009097664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9926717,0.0038871055,0.00050202414,0.00078719517,0.0018941024,0.0002578935],"domain_scores_gemma":[0.99182,0.0053106467,0.00070984487,0.0010537853,0.0008043726,0.00030133323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010996912,0.0008594757,0.0018308728,0.002744903,0.0025989495,0.004452345,0.0030780581,0.0026012522,0.0021367609],"category_scores_gemma":[0.015658077,0.0010457041,0.0020780466,0.0020643726,0.0035022802,0.0059469915,0.0059165834,0.0020580795,0.0003617902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034394153,0.00012368122,0.0025257042,0.0004006217,0.00037178735,0.0017783993,0.004820965,0.39978153,0.005281559,0.41071543,0.0024158782,0.17144056],"study_design_scores_gemma":[0.00009353964,0.000035160258,0.00016968025,0.00006083369,0.000080401085,0.00020132893,0.0005739987,0.82302654,0.0024744312,0.16484162,0.008374469,0.00006810685],"about_ca_topic_score_codex":0.0027789103,"about_ca_topic_score_gemma":0.0032133304,"teacher_disagreement_score":0.010996912,"about_ca_system_score_codex":0.0013810351,"about_ca_system_score_gemma":0.0018502198,"threshold_uncertainty_score":0.05815792},"labels":[],"label_agreement":null},{"id":"W207477138","doi":"10.1007/0-387-27046-9_17","title":"How to Make Your Own Database: Programming a Simple Procedure Log","year":2005,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Simple (philosophy); Computer science; Database; Programming language; Philosophy","score_opus":0.0444995090135067,"score_gpt":0.2733314068472691,"score_spread":0.2288318978337624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W207477138","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013663251,0.00029460556,0.9641123,0.0008450453,0.0001714515,0.00013918159,0.0006020445,0.016911885,0.015557221],"genre_scores_gemma":[0.027358929,0.0007690426,0.9308093,0.0011407944,0.00009304648,0.0002654138,0.0012220935,0.0074589616,0.030882366],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992029,0.00014772174,0.00007593932,0.00017785911,0.00031635503,0.00007913592],"domain_scores_gemma":[0.99833304,0.0007301013,0.0000470143,0.000574037,0.00019821602,0.00011761912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022254314,0.00079287565,0.00074525125,0.0008712499,0.0011199206,0.006273225,0.002257973,0.0014108575,0.020993916],"category_scores_gemma":[0.0054710438,0.0013757298,0.0014512927,0.00113191,0.001492258,0.012135572,0.0027121736,0.0038572575,0.0122570135],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017805594,0.00018975389,0.0007997588,0.00047258032,0.00007494559,0.00019295818,0.0012024686,0.0039196336,0.0053268014,0.31518137,0.13386999,0.5385916],"study_design_scores_gemma":[0.00007386459,0.000041395142,0.00039019977,0.00030682955,0.0001005676,0.0005244694,0.0003459419,0.034154363,0.015281126,0.38689595,0.5617849,0.000100453726],"about_ca_topic_score_codex":0.0028955073,"about_ca_topic_score_gemma":0.004240818,"teacher_disagreement_score":0.020993916,"about_ca_system_score_codex":0.000889896,"about_ca_system_score_gemma":0.0020420076,"threshold_uncertainty_score":0.070231676},"labels":[],"label_agreement":null},{"id":"W2075498543","doi":"10.2139/ssrn.870704","title":"The Choice of Standards for a Reporting Language","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Accounting","score_opus":0.015744682543777214,"score_gpt":0.3208303031746054,"score_spread":0.3050856206308282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075498543","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020102195,0.003623585,0.7980549,0.07596865,0.0060844324,0.0009403293,0.001059877,0.0021144692,0.092051566],"genre_scores_gemma":[0.20419557,0.0027245472,0.7648823,0.008473925,0.0023515036,0.0014562159,0.0010907665,0.0017266707,0.013098427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8614131,0.060813792,0.030963695,0.0107747605,0.031119775,0.004914956],"domain_scores_gemma":[0.7508266,0.10443456,0.017927706,0.054473475,0.063740715,0.008596979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.14336446,0.0014239657,0.0027315512,0.00876116,0.006807793,0.026197664,0.0075928546,0.012322821,0.00491779],"category_scores_gemma":[0.19776209,0.0024471192,0.003284105,0.009224135,0.014258008,0.04716407,0.007577435,0.01446001,0.0055332067],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085109714,0.000086457745,0.0006083094,0.00034539463,0.00006301018,0.00016323378,0.001389396,0.0004282433,0.0019538754,0.9564008,0.011618805,0.026857374],"study_design_scores_gemma":[0.00013493812,0.00016759435,0.0010173069,0.0024481488,0.00023995795,0.0007559226,0.0038000972,0.0047048945,0.010597751,0.7786136,0.19723159,0.00028819952],"about_ca_topic_score_codex":0.0035311366,"about_ca_topic_score_gemma":0.002446926,"teacher_disagreement_score":0.14336446,"about_ca_system_score_codex":0.0076855887,"about_ca_system_score_gemma":0.0155064,"threshold_uncertainty_score":0.7581928},"labels":[],"label_agreement":null},{"id":"W2076732808","doi":"10.1109/wi-iat.2014.25","title":"A Comparison of Mobile Rule Engines for Reasoning on Semantic Web Based Health Data","year":2014,"lang":"en","type":"article","venue":"2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Bayer HealthCare","keywords":"Computer science; Social Semantic Web; Semantic Web; Semantic analytics; Mobile Web; Semantic reasoner; Mobile technology; Semantic Web Stack; RDF; Semantic Web Rule Language; Mobile device; World Wide Web; Data science; Artificial intelligence","score_opus":0.10566204129943328,"score_gpt":0.35715219228484235,"score_spread":0.25149015098540906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076732808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74987847,0.011609166,0.17744137,0.0013958992,0.0006777252,0.0018336376,0.008983012,0.019874873,0.028305827],"genre_scores_gemma":[0.66414607,0.004049625,0.31088507,0.0005313109,0.0000984637,0.00048269815,0.015503359,0.0008322391,0.0034710579],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9936806,0.001357495,0.0012264939,0.00086673035,0.0025333543,0.00033535244],"domain_scores_gemma":[0.9810331,0.013760791,0.0005370352,0.0016750698,0.0026516109,0.0003424693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066105034,0.0015404423,0.001467282,0.0040661427,0.0007515709,0.0038216922,0.0030496407,0.0018209136,0.0022322116],"category_scores_gemma":[0.021708261,0.00058904703,0.0014842192,0.0036281473,0.0006019736,0.0036045297,0.0011650665,0.0009966418,0.0011266979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010031385,0.0032859838,0.030696036,0.0038234217,0.002003172,0.0018976599,0.0012306918,0.23625787,0.018506508,0.023009911,0.018807445,0.65044993],"study_design_scores_gemma":[0.0010003531,0.0015052983,0.012294936,0.0004206903,0.00082318205,0.0009404262,0.0012138461,0.9079151,0.03269596,0.00979756,0.031204354,0.00018817799],"about_ca_topic_score_codex":0.018741509,"about_ca_topic_score_gemma":0.016443333,"teacher_disagreement_score":0.018741509,"about_ca_system_score_codex":0.0015827097,"about_ca_system_score_gemma":0.0021678817,"threshold_uncertainty_score":0.037264884},"labels":[],"label_agreement":null},{"id":"W2077326361","doi":"10.1049/cp.2011.0073","title":"A novel adaptation approach for electromagnetic device optimization","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Adaptation (eye); Computer science; Curse of dimensionality; Construct (python library); Inference engine; Inference; Domain (mathematical analysis); Artificial intelligence; Mathematics; Computer network","score_opus":0.08120272008385987,"score_gpt":0.2408412670627352,"score_spread":0.15963854697887533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077326361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024883673,0.000052438067,0.9942357,0.00006471718,0.00002571825,0.00004628923,0.000019701329,0.00036092283,0.002706244],"genre_scores_gemma":[0.19938019,0.00018231393,0.792366,0.00020276499,0.00007573899,0.00029827017,0.00023426233,0.0002035646,0.0070568873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989278,0.00021415335,0.00005927273,0.00029130132,0.00044186553,0.000065572895],"domain_scores_gemma":[0.99955183,0.00015052359,0.000039442257,0.00010713401,0.00013102221,0.000019934223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008451009,0.00095865293,0.0008599853,0.0009884932,0.00044886142,0.0010044192,0.0021630393,0.00097611407,0.004065227],"category_scores_gemma":[0.002387125,0.0004699803,0.0011003698,0.00082014577,0.0006774993,0.0013774572,0.00161396,0.0010549653,0.0008247202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006948255,0.00018754817,0.00096930383,0.00014797662,0.00012418872,0.0004576676,0.00022166793,0.47147566,0.013460528,0.06741094,0.006173271,0.4393017],"study_design_scores_gemma":[0.000007434951,0.000017601491,0.00014233345,0.0000062933923,0.00001611494,0.00009366318,0.000015818478,0.9805489,0.0015776108,0.012975216,0.0045880433,0.000010879774],"about_ca_topic_score_codex":0.0022151268,"about_ca_topic_score_gemma":0.0022105628,"teacher_disagreement_score":0.004065227,"about_ca_system_score_codex":0.00058626814,"about_ca_system_score_gemma":0.0006494921,"threshold_uncertainty_score":0.013599515},"labels":[],"label_agreement":null},{"id":"W2077754830","doi":"10.5220/0005027100160026","title":"Merging the DOLCE and PSL Upper Ontologies","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"PSL; Computer science; Information retrieval; World Wide Web; Mathematics; Combinatorics","score_opus":0.01214285108377469,"score_gpt":0.2274659776392464,"score_spread":0.2153231265554717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077754830","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01786298,0.00036704002,0.9307775,0.0016044927,0.00035727158,0.00033362408,0.004360723,0.009772461,0.034563884],"genre_scores_gemma":[0.17182386,0.0007958131,0.79154384,0.00082577876,0.000099130826,0.0002624766,0.01598552,0.004328455,0.014335144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9930797,0.0010256293,0.00066221243,0.00083906995,0.0036426012,0.00075073505],"domain_scores_gemma":[0.99223596,0.0011991676,0.00021597483,0.003130557,0.0028853507,0.00033305684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052692005,0.0010748919,0.0015672111,0.006051539,0.0023274224,0.009774788,0.0029811035,0.0014806576,0.014509332],"category_scores_gemma":[0.020298311,0.0011834082,0.0030188593,0.005281171,0.0024261372,0.014721142,0.011537886,0.004464928,0.005037746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004418684,0.0003270358,0.003869349,0.00092766294,0.00019565743,0.00073022064,0.0018008598,0.020611342,0.0073754243,0.50057966,0.038463682,0.42467722],"study_design_scores_gemma":[0.000092047965,0.00005915773,0.00157424,0.0006227778,0.00023132922,0.0003948382,0.002270283,0.19277455,0.0436639,0.36570996,0.3924486,0.00015842168],"about_ca_topic_score_codex":0.03575108,"about_ca_topic_score_gemma":0.04261545,"teacher_disagreement_score":0.03575108,"about_ca_system_score_codex":0.004351434,"about_ca_system_score_gemma":0.010092402,"threshold_uncertainty_score":0.07108599},"labels":[],"label_agreement":null},{"id":"W2078332873","doi":"10.1109/iat.2006.85","title":"Learning Non-Unanimous Ontology Concepts to Communicate with Groups of Agents","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ontology; Computer science; Core (optical fiber); Extension (predicate logic); Group (periodic table); Group learning; Human–computer interaction; Epistemology; Knowledge management; Mathematics education; Psychology; Programming language","score_opus":0.015132561175262993,"score_gpt":0.2677555114342916,"score_spread":0.2526229502590286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078332873","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026036693,0.000111235524,0.96255696,0.0012751233,0.00008668783,0.00012435687,0.000018842846,0.00021778797,0.009572341],"genre_scores_gemma":[0.18923005,0.00018046674,0.803402,0.00034140752,0.00005253404,0.0003705756,0.00007719802,0.000066788685,0.0062789447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99602985,0.0020945992,0.0002418023,0.0005768309,0.0008627723,0.0001942936],"domain_scores_gemma":[0.99204916,0.003756115,0.0009128569,0.001910286,0.00079567434,0.0005759368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006541945,0.0006398009,0.00045585373,0.00058833254,0.001959702,0.0023084271,0.002080737,0.001718612,0.0032002572],"category_scores_gemma":[0.013088124,0.0004373357,0.0009334032,0.00048625845,0.00405051,0.012229236,0.005966587,0.0025985467,0.00080232363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008531093,0.00034977664,0.00231223,0.00031528514,0.00006532221,0.00042913912,0.022795273,0.00795295,0.009589728,0.8340971,0.0033432194,0.11866461],"study_design_scores_gemma":[0.000091853624,0.00019404138,0.000796696,0.00019077526,0.000064313834,0.0006726608,0.0049368017,0.095049605,0.012277825,0.79002666,0.09561686,0.0000820177],"about_ca_topic_score_codex":0.000979639,"about_ca_topic_score_gemma":0.0019784546,"teacher_disagreement_score":0.006541945,"about_ca_system_score_codex":0.0009570012,"about_ca_system_score_gemma":0.002149477,"threshold_uncertainty_score":0.034597576},"labels":[],"label_agreement":null},{"id":"W2078484402","doi":"10.29397/reciis.v1i1.898","title":"Abrir o espaço semântico em prol da inteligência coletiva","year":2007,"lang":"pt","type":"article","venue":"Reciis","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Philosophy; Physics","score_opus":0.032959720829897274,"score_gpt":0.296103806234188,"score_spread":0.26314408540429074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078484402","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048619397,0.0026349546,0.8410349,0.0049335505,0.0005033496,0.0003100025,0.001495846,0.0058283396,0.09463966],"genre_scores_gemma":[0.4001373,0.0027250396,0.54460716,0.0010965258,0.00024527684,0.00033664223,0.0027569905,0.001831056,0.046263985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99611914,0.0010815429,0.00038196685,0.00089502666,0.0012666719,0.00025565975],"domain_scores_gemma":[0.99479276,0.0017270639,0.0003076504,0.0016622622,0.0012605981,0.0002496419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038387366,0.0010905566,0.0007620161,0.003544743,0.0019034423,0.010818964,0.001464792,0.0017005841,0.011946619],"category_scores_gemma":[0.010160724,0.0006386291,0.0014777137,0.0038259393,0.00466518,0.014925329,0.005432212,0.0023716493,0.0046374747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025769262,0.000108013934,0.0044798483,0.0011258498,0.00010367548,0.00063750986,0.01054334,0.0037526502,0.021350192,0.61679286,0.014601151,0.3262472],"study_design_scores_gemma":[0.00003546603,0.00015075887,0.0070666345,0.00070270244,0.00021763318,0.0009706944,0.008684915,0.031562034,0.024050003,0.46527198,0.4611621,0.0001250901],"about_ca_topic_score_codex":0.0062113944,"about_ca_topic_score_gemma":0.0065949555,"teacher_disagreement_score":0.011946619,"about_ca_system_score_codex":0.0025206087,"about_ca_system_score_gemma":0.0027449827,"threshold_uncertainty_score":0.03996539},"labels":[],"label_agreement":null},{"id":"W2079126197","doi":"10.1108/17415650810871574","title":"RuleML‐based learning object interoperability on the Semantic Web","year":2008,"lang":"en","type":"article","venue":"Interactive Technology and Smart Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Semantic Web Rule Language; Programming language; World Wide Web; XML; Interoperation; XSLT; XHTML; Information retrieval; Semantic Web; Semantic Web Stack; Markup language; Interoperability; Semantic analytics","score_opus":0.017156070022800035,"score_gpt":0.26408429493273095,"score_spread":0.2469282249099309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079126197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035103553,0.00020035257,0.9789265,0.00074795604,0.00012221243,0.0004981246,0.000444902,0.005160402,0.0103892945],"genre_scores_gemma":[0.084654346,0.0007519048,0.90130675,0.00077933364,0.000106129395,0.0009055766,0.0032231736,0.0006738222,0.007598954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99118525,0.002774574,0.0013283858,0.00090305984,0.0034917027,0.000317106],"domain_scores_gemma":[0.99370027,0.0028468014,0.00040425645,0.001685665,0.001202895,0.00016005106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008078286,0.00072199164,0.00093303196,0.0024645024,0.0012804674,0.007627744,0.0032700608,0.0023630632,0.0030373342],"category_scores_gemma":[0.012151267,0.0007218908,0.0022105342,0.0019554205,0.0032381034,0.0082787555,0.003166417,0.0029547631,0.002409432],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023570377,0.0004585454,0.0010903385,0.0007431478,0.00018663262,0.0016201776,0.0014850072,0.06304806,0.011041363,0.6849959,0.013823795,0.22127144],"study_design_scores_gemma":[0.00017566029,0.00012337847,0.0007997155,0.000585302,0.0002303363,0.0006999352,0.00039106005,0.35476422,0.03768198,0.3752321,0.22917415,0.00014212412],"about_ca_topic_score_codex":0.006734392,"about_ca_topic_score_gemma":0.004540679,"teacher_disagreement_score":0.008078286,"about_ca_system_score_codex":0.0016459431,"about_ca_system_score_gemma":0.0034854193,"threshold_uncertainty_score":0.042722583},"labels":[],"label_agreement":null},{"id":"W2079246104","doi":"10.1109/mitp.2010.3","title":"MORF: A Mobile Health-Monitoring Platform","year":2010,"lang":"en","type":"article","venue":"IT Professional","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Ontology; Risk analysis (engineering); Data science; Human–computer interaction; Medicine","score_opus":0.03330351111756576,"score_gpt":0.34950082125432186,"score_spread":0.3161973101367561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079246104","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04068018,0.0020642073,0.6049558,0.0020911656,0.0006108764,0.0015660344,0.014045984,0.27253276,0.06145303],"genre_scores_gemma":[0.55554974,0.0020702218,0.3480255,0.00330138,0.0007983357,0.0025543866,0.027341109,0.004426768,0.05593259],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996332,0.000052819465,0.00002828633,0.000073650415,0.00014239023,0.00006965863],"domain_scores_gemma":[0.9995072,0.00013985617,0.00005484352,0.000072908435,0.00012018117,0.00010498605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071758416,0.000848713,0.0006971828,0.0014209631,0.00043838308,0.0010715271,0.0013861952,0.0012992623,0.015204191],"category_scores_gemma":[0.002134696,0.000327838,0.00040768425,0.0005413283,0.00020625742,0.0015565938,0.0014646588,0.000667756,0.00662598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025448166,0.0005948378,0.005352172,0.00095828983,0.00015599933,0.0017480121,0.00085555896,0.0047226944,0.05047583,0.021004736,0.250016,0.6615711],"study_design_scores_gemma":[0.0010802721,0.00093069393,0.011754324,0.00048926123,0.0003121894,0.0036527037,0.00041015435,0.16030219,0.045820937,0.027731376,0.74702716,0.0004887319],"about_ca_topic_score_codex":0.0025572195,"about_ca_topic_score_gemma":0.0018670397,"teacher_disagreement_score":0.015204191,"about_ca_system_score_codex":0.00045333238,"about_ca_system_score_gemma":0.00079340546,"threshold_uncertainty_score":0.050863087},"labels":[],"label_agreement":null},{"id":"W2079296943","doi":"10.1007/978-1-84800-149-7_17","title":"Collaborative Knowledge Modelling with a Graphical Knowledge Representation Tool: A Strategy to Support the Transfer of Expertise in Organisations","year":2008,"lang":"en","type":"book-chapter","venue":"Advanced information and knowledge processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Knowledge management; Typology; Computer science; Knowledge transfer; Knowledge sharing; Personal knowledge management; Knowledge value chain; Object (grammar); Knowledge representation and reasoning; Body of knowledge; Representation (politics); Organizational learning; Artificial intelligence; Sociology","score_opus":0.029196073547825677,"score_gpt":0.2839033600026503,"score_spread":0.25470728645482466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079296943","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022194393,0.00026163534,0.9797433,0.0007992896,0.00008256057,0.000072494804,0.00014093629,0.0020164265,0.014663926],"genre_scores_gemma":[0.09091299,0.0008545632,0.8921644,0.00030021972,0.00009492982,0.0003120666,0.0011470658,0.0006601758,0.013553649],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965178,0.0015017501,0.00030743855,0.00054588285,0.0009680181,0.00015911461],"domain_scores_gemma":[0.9933983,0.0036747148,0.00033350565,0.0018451477,0.00046303959,0.00028527327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044782753,0.001238017,0.0010106162,0.0033083698,0.0017991267,0.009321217,0.005203705,0.0044896123,0.011722197],"category_scores_gemma":[0.013024818,0.00096665433,0.002541967,0.0046973825,0.0026041574,0.018682392,0.007596442,0.0031102975,0.0039581116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010995827,0.00017115647,0.0005768175,0.00066768384,0.00011687117,0.0005359309,0.004878625,0.02730426,0.0037345437,0.6436409,0.021454446,0.29680875],"study_design_scores_gemma":[0.000053210075,0.00007928384,0.00029260435,0.00051586307,0.00019049847,0.00069172675,0.00091696787,0.2051019,0.0075390465,0.59044194,0.19407147,0.00010541294],"about_ca_topic_score_codex":0.0030401465,"about_ca_topic_score_gemma":0.0030397638,"teacher_disagreement_score":0.011722197,"about_ca_system_score_codex":0.0015621656,"about_ca_system_score_gemma":0.0024909072,"threshold_uncertainty_score":0.03921467},"labels":[],"label_agreement":null},{"id":"W2080094528","doi":"","title":"Proceedings of the fifth workshop on Exploiting semantic annotations in information retrieval","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Annotation; Leverage (statistics); Exploit; World Wide Web; Personalization; Context (archaeology); Semantic search; Semantic Web; Artificial intelligence","score_opus":0.026232793075827557,"score_gpt":0.25223261614692183,"score_spread":0.22599982307109429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080094528","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011378645,0.090862386,0.6015211,0.06945543,0.053651635,0.0022370806,0.0062861037,0.010182561,0.15442516],"genre_scores_gemma":[0.06952521,0.051810104,0.49347773,0.017560888,0.022309745,0.001911922,0.032751232,0.005630317,0.30502293],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9836234,0.00716832,0.0019381589,0.0022910573,0.0038795886,0.0010994546],"domain_scores_gemma":[0.97615576,0.010982442,0.000695401,0.004539528,0.005814312,0.0018125852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019273184,0.0021978354,0.0027720807,0.0050352775,0.0022339553,0.014655637,0.004841686,0.004756538,0.043434218],"category_scores_gemma":[0.02474701,0.0013037956,0.0027101636,0.0051671057,0.003914781,0.022375602,0.0065067755,0.0077367933,0.020518702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055464974,0.00045220522,0.00046412603,0.0014912522,0.00020073452,0.00032239794,0.0022115696,0.0017645486,0.0050534336,0.051974785,0.5802249,0.3552854],"study_design_scores_gemma":[0.000073669755,0.00011989287,0.00061345147,0.0005991297,0.00008091858,0.00029089977,0.0006677462,0.004416985,0.0024213241,0.03189271,0.95872885,0.00009426235],"about_ca_topic_score_codex":0.00806863,"about_ca_topic_score_gemma":0.0076006134,"teacher_disagreement_score":0.043434218,"about_ca_system_score_codex":0.0047083437,"about_ca_system_score_gemma":0.0040584356,"threshold_uncertainty_score":0.145302},"labels":[],"label_agreement":null},{"id":"W2080113568","doi":"10.3166/ria.22.725-755","title":"Vers un modèle formel pour le raisonnement à partir des contextes","year":2008,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Constructive; Context (archaeology); Epistemology; Humanities; Philosophy; Sociology; Computer science; Artificial intelligence; Process (computing); Geography; Programming language","score_opus":0.13262989664839483,"score_gpt":0.28293142707695146,"score_spread":0.15030153042855662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080113568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009025405,0.000711079,0.9742606,0.0020494137,0.00021346555,0.00010313732,0.0003041086,0.0016441093,0.011688617],"genre_scores_gemma":[0.16179076,0.0009869825,0.8051351,0.00055953837,0.00017092547,0.00043949927,0.0010810758,0.0007922795,0.029043805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99445665,0.002138794,0.00039426264,0.001064531,0.0017124519,0.00023331615],"domain_scores_gemma":[0.9947184,0.0028760557,0.00020801973,0.0010066971,0.0010558191,0.00013508274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051877783,0.0015114717,0.0013373959,0.0023902229,0.0022929278,0.009993609,0.0023967023,0.0037334175,0.011952467],"category_scores_gemma":[0.019401722,0.0016282566,0.0030297441,0.00220276,0.0035094018,0.013114604,0.002733572,0.0044082818,0.004368056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030287975,0.00013624923,0.0009923689,0.0003820592,0.00012627665,0.00045072133,0.0023619307,0.09983311,0.0027167283,0.8021132,0.007027185,0.08355723],"study_design_scores_gemma":[0.00012949463,0.000095773175,0.00028124588,0.00030171912,0.00012929595,0.0002972496,0.0007638475,0.56039673,0.0053514056,0.35439152,0.077768914,0.00009283735],"about_ca_topic_score_codex":0.035017744,"about_ca_topic_score_gemma":0.024443133,"teacher_disagreement_score":0.035017744,"about_ca_system_score_codex":0.0037169522,"about_ca_system_score_gemma":0.0032374754,"threshold_uncertainty_score":0.06962782},"labels":[],"label_agreement":null},{"id":"W2080880112","doi":"10.5596/c08-004","title":"Knitting the Semantic Web","year":2008,"lang":"fr","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Semantic Web; World Wide Web; Social Semantic Web; Semantic Web Stack; Information retrieval","score_opus":0.011159250997755573,"score_gpt":0.23615262552027952,"score_spread":0.22499337452252394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080880112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013065437,0.005451421,0.92603976,0.011538601,0.0010796181,0.00028197144,0.0028495942,0.005092924,0.0346008],"genre_scores_gemma":[0.17905714,0.00663006,0.77581453,0.0027768982,0.00043491734,0.00024672828,0.010350261,0.0020217744,0.022667637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9910483,0.00299624,0.0009269044,0.0017008586,0.0028742817,0.00045340872],"domain_scores_gemma":[0.9879694,0.0039222245,0.00041124693,0.0053585996,0.001901505,0.00043699797],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007996573,0.0011118429,0.0011088406,0.011068407,0.0045528277,0.010917445,0.0021112303,0.0026649525,0.0069843396],"category_scores_gemma":[0.02277611,0.0016136902,0.0033133277,0.009600294,0.005981138,0.026839387,0.010941672,0.0045381472,0.002936339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110613815,0.00009644515,0.0018940985,0.0004386812,0.0002058558,0.00038835287,0.0018636441,0.008302848,0.0019823269,0.7391647,0.029718973,0.21583343],"study_design_scores_gemma":[0.000011451288,0.000013723367,0.0003760095,0.00026265596,0.00008667449,0.00017616288,0.0010277602,0.020537883,0.0019554931,0.78877854,0.18674378,0.000029881801],"about_ca_topic_score_codex":0.027072774,"about_ca_topic_score_gemma":0.03575578,"teacher_disagreement_score":0.9890826,"about_ca_system_score_codex":0.0029955807,"about_ca_system_score_gemma":0.005125929,"threshold_uncertainty_score":0.053830385},"labels":[],"label_agreement":null},{"id":"W2080914288","doi":"10.1016/s1386-5056(01)00195-2","title":"Medical support system for continuation of care based on XML web technology","year":2001,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Canada; European Commission","keywords":"Intranet; The Internet; Telematics; Computer science; XML; Implementation; World Wide Web; Multimedia; Medicine; Telecommunications","score_opus":0.014192390443485964,"score_gpt":0.3072551903391536,"score_spread":0.29306279989566764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080914288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12563157,0.0020221255,0.613954,0.0036896423,0.00093447266,0.0016035094,0.0062978244,0.21162732,0.03423955],"genre_scores_gemma":[0.6009813,0.0014983978,0.33978638,0.0018469573,0.0005972204,0.0009706627,0.017319607,0.0031259328,0.03387362],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994273,0.00014163129,0.000134684,0.00009440717,0.00014689605,0.000055183395],"domain_scores_gemma":[0.99815804,0.00074897974,0.00018422036,0.00032987795,0.00032707182,0.00025181714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017692038,0.0004333947,0.0006262509,0.0017974516,0.0006854779,0.0023345717,0.0010905057,0.0011061598,0.009195318],"category_scores_gemma":[0.0033896384,0.00029956465,0.00049724523,0.0009340904,0.00022915554,0.0014602441,0.0012331218,0.000738016,0.0031678139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030824882,0.0010152324,0.027013848,0.0010201638,0.00023652871,0.0050690677,0.0023171648,0.0051203533,0.059840094,0.028448874,0.11963242,0.74720365],"study_design_scores_gemma":[0.001997568,0.00080976915,0.02169876,0.0008569106,0.0009860332,0.007560634,0.0010891824,0.19730587,0.10403261,0.024208622,0.63911545,0.00033854466],"about_ca_topic_score_codex":0.0016954425,"about_ca_topic_score_gemma":0.0010560876,"teacher_disagreement_score":0.009195318,"about_ca_system_score_codex":0.0005195309,"about_ca_system_score_gemma":0.0013840761,"threshold_uncertainty_score":0.03076142},"labels":[],"label_agreement":null},{"id":"W2082857476","doi":"10.1080/0929617042000314930","title":"An Exploration into the Management of High Volumes of Complex Knowledge in the Social Sciences and Humanities","year":2004,"lang":"en","type":"article","venue":"Journal of Quantitative Linguistics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Digital humanities; Knowledge management; Humanities; Computer science; Data science; Sociology; Library science; Philosophy","score_opus":0.20106766903794668,"score_gpt":0.40628645096577654,"score_spread":0.20521878192782986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082857476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68741065,0.0056791995,0.19510333,0.07285719,0.00025925066,0.0006032319,0.006058069,0.0020508955,0.0299782],"genre_scores_gemma":[0.8568713,0.002230659,0.13484645,0.0010578202,0.00021125024,0.00030903085,0.0022836511,0.00027429237,0.0019155846],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9926796,0.0044570277,0.0004137537,0.0008717611,0.0013172587,0.00026073007],"domain_scores_gemma":[0.9248191,0.054566234,0.003958162,0.011162375,0.0032332884,0.0022607083],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.015219086,0.0002732927,0.0007242758,0.005671352,0.0033976827,0.01622671,0.0018053803,0.0013987175,0.0023985466],"category_scores_gemma":[0.05176389,0.000400407,0.0005498821,0.011962389,0.0048627793,0.028080642,0.007394717,0.0021998691,0.0004219116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048683633,0.0008637172,0.0702723,0.0010374767,0.00022511953,0.001523492,0.026037605,0.021076044,0.0067510842,0.36875466,0.024618002,0.47835374],"study_design_scores_gemma":[0.00010228169,0.00025031058,0.035133876,0.0005266569,0.00008613943,0.0011727744,0.048339617,0.119088285,0.0064377044,0.60857165,0.18013255,0.00015817121],"about_ca_topic_score_codex":0.004606901,"about_ca_topic_score_gemma":0.0063612126,"teacher_disagreement_score":0.9837733,"about_ca_system_score_codex":0.003243792,"about_ca_system_score_gemma":0.003440644,"threshold_uncertainty_score":0.08048719},"labels":[],"label_agreement":null},{"id":"W2082983496","doi":"10.4018/jswis.2008070102","title":"Ontology Enhanced Concept Hierarchies for Text Identification","year":2008,"lang":"en","type":"article","venue":"International Journal on Semantic Web and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Hierarchy; Semantic Web; Ontology; Information retrieval; Categorization; Social Semantic Web; Domain (mathematical analysis); Semantic Web Stack; World Wide Web; Artificial intelligence","score_opus":0.01836415474619959,"score_gpt":0.26507276499808174,"score_spread":0.24670861025188215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082983496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005204116,0.0018023447,0.97813845,0.00081040454,0.00022156791,0.0003201496,0.0013063528,0.0023915325,0.009805194],"genre_scores_gemma":[0.048146874,0.0008998675,0.94459957,0.00021601649,0.00008676815,0.00030236147,0.0015693324,0.00016950058,0.004009732],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984256,0.0005269193,0.00012095369,0.00020999918,0.0006188799,0.00009767452],"domain_scores_gemma":[0.9979145,0.0010174552,0.0001718389,0.00041075793,0.00037242757,0.00011296016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018279734,0.00052508333,0.0005507261,0.0032898101,0.0014080134,0.0020013638,0.0013222711,0.00084247254,0.0077753877],"category_scores_gemma":[0.007320065,0.00047674734,0.0015923353,0.0034048737,0.00082484283,0.005299316,0.0023983356,0.0018236786,0.0029764797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012395115,0.0001438004,0.00072197506,0.0006081669,0.000084932166,0.00044452326,0.0014814129,0.008794609,0.0061641773,0.52464914,0.03585066,0.42093277],"study_design_scores_gemma":[0.00004852746,0.000048879017,0.00077866623,0.0003137245,0.00007975024,0.00065883744,0.0005147344,0.16283128,0.004475807,0.6107904,0.21937512,0.000084304884],"about_ca_topic_score_codex":0.0052995365,"about_ca_topic_score_gemma":0.008874026,"teacher_disagreement_score":0.0077753877,"about_ca_system_score_codex":0.0012009307,"about_ca_system_score_gemma":0.00199504,"threshold_uncertainty_score":0.026011288},"labels":[],"label_agreement":null},{"id":"W2084029381","doi":"10.3166/isi.16.1.89-112","title":"Système d’aide à l’alignement d’ontologies métier. Application au domaine géotechnique","year":2011,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.045469952010605975,"score_gpt":0.24677007362718148,"score_spread":0.2013001216165755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084029381","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015327442,0.0012681128,0.92523855,0.0010072369,0.00032465465,0.0005079257,0.0011121337,0.040143285,0.015070635],"genre_scores_gemma":[0.14431053,0.000909178,0.82555234,0.0004904452,0.00017918134,0.00053525,0.005803167,0.0010289416,0.021190973],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953565,0.001212842,0.0003756611,0.0010061974,0.0018089708,0.00023974833],"domain_scores_gemma":[0.9962864,0.0013822728,0.00021511369,0.0009017153,0.0010147146,0.00019977982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005373348,0.0011215108,0.0012951716,0.0030452383,0.0013477183,0.004098263,0.0021204685,0.002645866,0.015499776],"category_scores_gemma":[0.011628855,0.0006623552,0.0010544187,0.0022015907,0.0008222759,0.0042491606,0.0029987209,0.0020078898,0.01107261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077760825,0.00067499495,0.0067757764,0.0008321577,0.00041556626,0.0011543498,0.0019950492,0.010480677,0.056296196,0.050639234,0.057021275,0.81293714],"study_design_scores_gemma":[0.0002873671,0.00033960826,0.006972879,0.00031446634,0.00023305055,0.0019071057,0.0009181639,0.22135885,0.0734821,0.030643791,0.6633377,0.00020496386],"about_ca_topic_score_codex":0.006051312,"about_ca_topic_score_gemma":0.0040655322,"teacher_disagreement_score":0.015499776,"about_ca_system_score_codex":0.0011221461,"about_ca_system_score_gemma":0.0021460587,"threshold_uncertainty_score":0.05185187},"labels":[],"label_agreement":null},{"id":"W2084169552","doi":"10.4102/sajim.v2i4.116","title":"Universal Description, Discovery and Integration","year":2000,"lang":"en","type":"article","venue":"South African journal of information management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Knowledge management; Computer science; Data science; Information management; Agile software development; Process management; Business; Software engineering","score_opus":0.009410827558347898,"score_gpt":0.1933419726221116,"score_spread":0.1839311450637637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084169552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009248526,0.016555816,0.87282705,0.009774111,0.0007792627,0.00034063682,0.0008314716,0.0013400299,0.08830305],"genre_scores_gemma":[0.2783055,0.014961816,0.6563092,0.0022921083,0.0006541298,0.00088019104,0.0031890024,0.0007254911,0.042682603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9921983,0.0025925427,0.0012204804,0.0013813028,0.002004408,0.0006029682],"domain_scores_gemma":[0.9932592,0.0024245074,0.00029390672,0.0027784114,0.0010380334,0.00020599969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008314587,0.00073263806,0.0013341302,0.0057918523,0.003847747,0.008678566,0.0028788433,0.0027390083,0.005912655],"category_scores_gemma":[0.0161431,0.0011348309,0.0019874063,0.0071664387,0.012275455,0.024111144,0.010800303,0.0029482082,0.0021093176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014193392,0.000011570694,0.0002577515,0.00017676357,0.000018274906,0.00014635373,0.0014385654,0.00049471983,0.00022508818,0.95140713,0.00407821,0.041731406],"study_design_scores_gemma":[0.0000068983995,0.0000088456645,0.00015340358,0.00018009526,0.000020900632,0.00030373374,0.00055494206,0.00290939,0.00062294817,0.89483374,0.10038535,0.000019782396],"about_ca_topic_score_codex":0.009332509,"about_ca_topic_score_gemma":0.0058178827,"teacher_disagreement_score":0.009332509,"about_ca_system_score_codex":0.0034887418,"about_ca_system_score_gemma":0.004565229,"threshold_uncertainty_score":0.043972313},"labels":[],"label_agreement":null},{"id":"W2084909518","doi":"10.4018/jswis.2013010103","title":"PragmatiX","year":2013,"lang":"en","type":"article","venue":"International Journal on Semantic Web and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Ontology; Ontology engineering; Computer science; Process ontology; Visualization; Collaborative engineering; Process (computing); Upper ontology; Quality (philosophy); Data science; Ontology-based data integration; World Wide Web; Semantic Web; Work in process; Engineering; Data mining","score_opus":0.009441730628565551,"score_gpt":0.2338922141541526,"score_spread":0.22445048352558705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084909518","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033963155,0.00247333,0.35552,0.0054681706,0.0019331119,0.0010856348,0.0153338015,0.2060194,0.40877023],"genre_scores_gemma":[0.037029404,0.0035001165,0.3766425,0.003596485,0.00071783154,0.002670898,0.035496105,0.09201986,0.44832677],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960944,0.00090722914,0.0003990267,0.00087356364,0.001419087,0.00030667058],"domain_scores_gemma":[0.9941842,0.0024000176,0.00038882473,0.0015231315,0.0010605018,0.00044337704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003283019,0.0017194207,0.00086630863,0.0027085326,0.001539712,0.0077644256,0.0036756825,0.0032035734,0.2457007],"category_scores_gemma":[0.017203609,0.001423334,0.0016074773,0.002685665,0.0016627002,0.011578486,0.007321146,0.0044754236,0.16481394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032150903,0.000101896265,0.0005474947,0.0013153659,0.000030909636,0.00047899794,0.0018362043,0.001568945,0.0025071288,0.09434845,0.55794,0.33900312],"study_design_scores_gemma":[0.000031846444,0.000018772977,0.00014853742,0.00015386156,0.00000561477,0.00024631483,0.0000874083,0.000907332,0.0008566394,0.013915223,0.9836039,0.000024549741],"about_ca_topic_score_codex":0.0018267714,"about_ca_topic_score_gemma":0.0018823112,"teacher_disagreement_score":0.2457007,"about_ca_system_score_codex":0.001362171,"about_ca_system_score_gemma":0.0027535302,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2085316814","doi":"10.1145/1871437.1871655","title":"Using various term dependencies according to their utilities","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Dependency (UML); Term (time); Computer science; Functional dependency; Dependency theory (database theory); Data modeling; Data mining; Artificial intelligence; Database; Relational database","score_opus":0.059410095985930285,"score_gpt":0.29396266612825867,"score_spread":0.2345525701423284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085316814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06547591,0.0009703829,0.91882515,0.0009561601,0.00014291616,0.00032004848,0.0009043453,0.0018682057,0.010536958],"genre_scores_gemma":[0.67450416,0.0013873721,0.3105047,0.0004129337,0.00018625926,0.00047658276,0.0016704719,0.00078275066,0.010074749],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803704,0.0006008277,0.00016102729,0.00038517456,0.00069016806,0.0001258457],"domain_scores_gemma":[0.9945925,0.0033918556,0.00030014873,0.0006912391,0.0008491356,0.0001750525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029720608,0.0011877596,0.00075939915,0.0038937128,0.0008252953,0.0014959445,0.0013727766,0.0008879716,0.0029869399],"category_scores_gemma":[0.018324405,0.0006317782,0.0012839418,0.003833933,0.0006410864,0.0071100756,0.0014186341,0.0017439821,0.0013421061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008748616,0.0006019244,0.033020418,0.00072580326,0.000696908,0.00056918716,0.00071098475,0.21693376,0.019404674,0.09830615,0.01597212,0.6121832],"study_design_scores_gemma":[0.000049787566,0.00013429126,0.0061332304,0.00010642771,0.00039096284,0.00037366178,0.00008030552,0.89317554,0.0059912656,0.079552,0.013888419,0.00012416464],"about_ca_topic_score_codex":0.006557139,"about_ca_topic_score_gemma":0.011602687,"teacher_disagreement_score":0.006557139,"about_ca_system_score_codex":0.0011155423,"about_ca_system_score_gemma":0.0013079074,"threshold_uncertainty_score":0.015717983},"labels":[],"label_agreement":null},{"id":"W2085339586","doi":"10.1155/2009/917826","title":"Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory","year":2009,"lang":"en","type":"article","venue":"International Journal of Telemedicine and Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ontology; Domain (mathematical analysis); Data science; Volatility (finance); Software; TRACE (psycholinguistics); Software engineering","score_opus":0.0628423299948738,"score_gpt":0.3990011107389246,"score_spread":0.3361587807440508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085339586","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09128294,0.000084955194,0.9025093,0.0010434247,0.000020346299,0.00041343074,0.00008513826,0.0012352612,0.003325317],"genre_scores_gemma":[0.47801828,0.00006336914,0.51943475,0.00023619471,0.00001679083,0.00034836846,0.00026292104,0.00013371627,0.0014856515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898824,0.004353547,0.0011403993,0.001099111,0.0029522649,0.00057226676],"domain_scores_gemma":[0.98693776,0.0075198626,0.0012226498,0.0021171502,0.0017103265,0.0004922943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012001395,0.0004985273,0.00071923475,0.0017115166,0.0017061408,0.0040723477,0.002795711,0.00151255,0.0010050362],"category_scores_gemma":[0.015992135,0.00076249224,0.0014663502,0.0011416232,0.0021830539,0.005186558,0.00452398,0.0014789398,0.00027063934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006120137,0.0009149916,0.01859131,0.0007552274,0.0003823855,0.0045150504,0.016682176,0.260248,0.052121315,0.33260766,0.004664566,0.30790523],"study_design_scores_gemma":[0.000084776715,0.00017214904,0.0017003225,0.000093949144,0.00014065142,0.0008113375,0.001620496,0.86735857,0.014531727,0.09688811,0.016465992,0.00013185688],"about_ca_topic_score_codex":0.0057570115,"about_ca_topic_score_gemma":0.0056753624,"teacher_disagreement_score":0.012001395,"about_ca_system_score_codex":0.002370502,"about_ca_system_score_gemma":0.005097419,"threshold_uncertainty_score":0.063470185},"labels":[],"label_agreement":null},{"id":"W2085594901","doi":"10.1007/s10270-002-0008-4","title":"Extending the Unified Modeling Language for ontology development","year":2002,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Applications of UML; Ontology; UML tool; Metamodeling; Unified Modeling Language; OWL-S; Programming language; Process ontology; Ontology language; Upper ontology; Ontology-based data integration; Ontology Inference Layer; Software engineering; Semantic Web; Artificial intelligence; Semantic Web Stack; Process (computing); Web service; Software","score_opus":0.07686369648207024,"score_gpt":0.267830126460279,"score_spread":0.19096642997820873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085594901","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00143088,0.00039923604,0.9918704,0.0006355229,0.00013875238,0.00014001825,0.00019228969,0.0015182807,0.003674727],"genre_scores_gemma":[0.02544719,0.0009064817,0.9689919,0.00028106172,0.00008972021,0.00023939814,0.0010276953,0.0006009032,0.0024157441],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9922409,0.0029729574,0.0013088058,0.00063644786,0.0023563534,0.00048456495],"domain_scores_gemma":[0.99164236,0.0024852913,0.0005849046,0.0029858924,0.0019398321,0.0003616746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010403478,0.0010170015,0.0015810762,0.003026898,0.0018944164,0.0073550497,0.004698709,0.0023154996,0.0028027121],"category_scores_gemma":[0.01637618,0.0015580775,0.004302702,0.0033230516,0.0021645124,0.013177003,0.0057759346,0.0048754755,0.0015854676],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006878981,0.00009929131,0.00085709593,0.00056065497,0.00016233712,0.00045559584,0.0017828447,0.0132557275,0.0021045445,0.86164176,0.009364991,0.10964625],"study_design_scores_gemma":[0.000060668503,0.00007042652,0.0003810189,0.00062023406,0.00031137446,0.0005860465,0.00039308035,0.13038146,0.00501155,0.53908056,0.3229885,0.00011497871],"about_ca_topic_score_codex":0.009555238,"about_ca_topic_score_gemma":0.0130990185,"teacher_disagreement_score":0.010403478,"about_ca_system_score_codex":0.0020108032,"about_ca_system_score_gemma":0.006663046,"threshold_uncertainty_score":0.055019557},"labels":[],"label_agreement":null},{"id":"W2085873733","doi":"10.1177/0165551510391359","title":"What ‘good’ looks like: Understanding records ontologically in the context of the global financial crisis","year":2011,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Semantics (computer science); Computer science; Domain (mathematical analysis); Financial crisis; Ontology; Linguistics; Epistemology; History; Economics; Philosophy","score_opus":0.06831316602030203,"score_gpt":0.2775257220193152,"score_spread":0.20921255599901317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085873733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58695036,0.00230392,0.24031135,0.036734596,0.00033786337,0.00010881791,0.0009810583,0.0003412496,0.13193083],"genre_scores_gemma":[0.97270036,0.0006248338,0.023698974,0.0004770221,0.000056647077,0.00003552969,0.00043788564,0.00007335194,0.0018953615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.997894,0.0012801881,0.00013670584,0.0001647318,0.00034471572,0.00017973775],"domain_scores_gemma":[0.99607277,0.0022087826,0.00040149633,0.0006966794,0.00044634682,0.00017400665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035841744,0.00027043017,0.00036392073,0.0025826269,0.003726209,0.009844063,0.0014232438,0.0020237889,0.0019343698],"category_scores_gemma":[0.010632724,0.0003366176,0.000626863,0.004235316,0.012211059,0.027267504,0.003847234,0.002646226,0.00029701597],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037514088,0.00001718069,0.0024338777,0.00006182326,0.0000112226835,0.00024204164,0.06991479,0.0010482777,0.00037428946,0.9133229,0.0010565887,0.011479503],"study_design_scores_gemma":[0.000012442662,0.000023760207,0.0030916906,0.00022962701,0.000050238228,0.00036471878,0.09279567,0.00723535,0.00072923553,0.83539015,0.060025323,0.00005177427],"about_ca_topic_score_codex":0.01323549,"about_ca_topic_score_gemma":0.010076945,"teacher_disagreement_score":0.01323549,"about_ca_system_score_codex":0.0025595387,"about_ca_system_score_gemma":0.0019854666,"threshold_uncertainty_score":0.026316881},"labels":[],"label_agreement":null},{"id":"W2086134854","doi":"10.1109/mis.2010.17","title":"Converting a Historical Architecture Encyclopedia into a Semantic Knowledge Base","year":2010,"lang":"en","type":"article","venue":"IEEE Intelligent Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Encyclopedia; Computer science; Knowledge base; Architecture; World Wide Web; Task (project management); Data science; Engineering; Library science; Archaeology","score_opus":0.020614449749071628,"score_gpt":0.25862622349995434,"score_spread":0.23801177375088273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086134854","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0120013775,0.01466793,0.20080401,0.0039678,0.0046442356,0.0008018781,0.32725105,0.022902552,0.41295916],"genre_scores_gemma":[0.04951391,0.033840578,0.40090197,0.0016273587,0.0012270525,0.0012405763,0.40582895,0.0074911276,0.098328464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897766,0.00012845414,0.00028738784,0.00016937248,0.00037861135,0.000058545676],"domain_scores_gemma":[0.996759,0.00091937406,0.00022588986,0.00067378854,0.0012857413,0.00013618804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012983623,0.0013742605,0.0008267794,0.038641796,0.001590414,0.0075824964,0.0015220331,0.0009808537,0.042403076],"category_scores_gemma":[0.00538611,0.0008118702,0.00066553865,0.040015593,0.0009443635,0.008478846,0.0024350386,0.001730597,0.02349033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007337037,0.000099133315,0.001108099,0.0032906055,0.00010396437,0.0010574956,0.0015654549,0.003255257,0.00569734,0.054032523,0.38502893,0.5446879],"study_design_scores_gemma":[0.000007025716,0.000008182012,0.0011925836,0.00044772858,0.000030246938,0.00027584194,0.00068381074,0.000851928,0.0010985684,0.0066752164,0.9887051,0.000023759125],"about_ca_topic_score_codex":0.010297822,"about_ca_topic_score_gemma":0.019777846,"teacher_disagreement_score":0.042403076,"about_ca_system_score_codex":0.0018193905,"about_ca_system_score_gemma":0.003818974,"threshold_uncertainty_score":0.14185238},"labels":[],"label_agreement":null},{"id":"W2087387838","doi":"10.1109/icde.2014.6816762","title":"Linked Data query processing","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Query language; Web query classification; Web search query; Information retrieval; View; Query optimization; RDF query language; World Wide Web; Server; Database; Data science; Database design; Search engine","score_opus":0.06458347728883644,"score_gpt":0.2917892744813442,"score_spread":0.22720579719250772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087387838","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002293823,0.0020103361,0.9622147,0.0025315958,0.00032613086,0.00094354013,0.0051935534,0.0121335825,0.012352717],"genre_scores_gemma":[0.05785562,0.004232755,0.9014279,0.0021685038,0.0006441833,0.0011188769,0.019211046,0.0027199234,0.010621171],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98064065,0.005191416,0.0029053008,0.0026465189,0.007637993,0.0009780455],"domain_scores_gemma":[0.98007625,0.009405321,0.00085529906,0.0050391695,0.0041561807,0.0004677724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013437891,0.0017309627,0.002674444,0.006650418,0.0033072976,0.012270767,0.0056519867,0.002910989,0.014903891],"category_scores_gemma":[0.034106396,0.0011551479,0.003872346,0.010557316,0.0019884943,0.012887977,0.008732237,0.003699691,0.008621875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042138333,0.00035341753,0.0025625273,0.0026707037,0.0005355454,0.0011895665,0.0021947909,0.016352408,0.008214324,0.33972013,0.1571898,0.46859533],"study_design_scores_gemma":[0.00011474028,0.00011192401,0.0007154623,0.000509737,0.00017009958,0.001126094,0.0013610257,0.14223051,0.016394168,0.3865522,0.45053992,0.00017418039],"about_ca_topic_score_codex":0.005585643,"about_ca_topic_score_gemma":0.0050769215,"teacher_disagreement_score":0.014903891,"about_ca_system_score_codex":0.0026820567,"about_ca_system_score_gemma":0.0039794887,"threshold_uncertainty_score":0.071067214},"labels":[],"label_agreement":null},{"id":"W2087800096","doi":"10.4108/icst.simutools2008.3026","title":"Multi-Agent Geosimulation In Support To “What if” Courses Of Action Analysis","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Context (archaeology); Action (physics); Human–computer interaction","score_opus":0.08082177128167241,"score_gpt":0.3337661584372372,"score_spread":0.25294438715556483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087800096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021027656,0.000031161828,0.97429454,0.00016092561,0.000026230431,0.000075493255,0.000036772413,0.0012524673,0.003094673],"genre_scores_gemma":[0.53064764,0.00007056146,0.4670006,0.00008369254,0.000023268743,0.0002468365,0.00010102009,0.00019962378,0.001626776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990945,0.00040311832,0.000056870027,0.00014355216,0.00022395933,0.00007816848],"domain_scores_gemma":[0.99722654,0.0017338983,0.00027041166,0.00035412007,0.00026057492,0.00015443075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017664126,0.0006906274,0.0006958874,0.0005284094,0.0007738899,0.0013926214,0.0015149371,0.0008648839,0.0028813852],"category_scores_gemma":[0.0051957523,0.0003336679,0.0007418646,0.00033522226,0.0010703548,0.0017311103,0.0021862765,0.0012428293,0.00039642552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022009404,0.00013725301,0.0023201494,0.000112472335,0.000114881565,0.00020870283,0.0005153596,0.80677354,0.0073491647,0.1364831,0.00064280746,0.045122433],"study_design_scores_gemma":[0.000017352957,0.000021819644,0.000081710336,0.0000075112766,0.000012832296,0.000013704154,0.00003577594,0.9788518,0.0023770449,0.016425809,0.0021454995,0.000009176533],"about_ca_topic_score_codex":0.0052287746,"about_ca_topic_score_gemma":0.0052242354,"teacher_disagreement_score":0.0052287746,"about_ca_system_score_codex":0.0008587067,"about_ca_system_score_gemma":0.0014230052,"threshold_uncertainty_score":0.010396719},"labels":[],"label_agreement":null},{"id":"W2088212842","doi":"10.4304/jetwi.1.2.137-145","title":"Toward Web-based Careflow Management Systems","year":2009,"lang":"en","type":"article","venue":"Journal of Emerging Technologies in Web Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; World Wide Web","score_opus":0.03308531121238847,"score_gpt":0.28886338669593137,"score_spread":0.2557780754835429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088212842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010046948,0.00024743637,0.97388035,0.002378507,0.00018840075,0.00036410353,0.00015145358,0.006347145,0.0063955234],"genre_scores_gemma":[0.16679475,0.00050532346,0.8242336,0.0012029742,0.00020342159,0.00043299593,0.0007894197,0.00037180656,0.005465669],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99731714,0.0010080914,0.0003157712,0.00033838206,0.0008455611,0.00017502789],"domain_scores_gemma":[0.99587387,0.0012289901,0.00035914982,0.00086463825,0.0013162161,0.00035716328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074844193,0.0003607102,0.00045764848,0.0012661634,0.0011828035,0.004489531,0.0018421122,0.0017543914,0.0035856138],"category_scores_gemma":[0.008440302,0.0004680344,0.00096996955,0.0010350178,0.0014903715,0.0044914833,0.00343505,0.00225365,0.0012241469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051348563,0.00069084356,0.008192337,0.0004989705,0.00020768351,0.0018791903,0.0022823247,0.080657944,0.013317239,0.48655623,0.035605937,0.36959776],"study_design_scores_gemma":[0.00012705021,0.00008240402,0.00069001236,0.0003241298,0.00008755682,0.00040812543,0.00031870906,0.62553525,0.015129282,0.21538505,0.14184953,0.00006293407],"about_ca_topic_score_codex":0.004196744,"about_ca_topic_score_gemma":0.00277739,"teacher_disagreement_score":0.0074844193,"about_ca_system_score_codex":0.0013646076,"about_ca_system_score_gemma":0.0026943074,"threshold_uncertainty_score":0.039581895},"labels":[],"label_agreement":null},{"id":"W2088403135","doi":"10.1145/1807167.1807214","title":"Expressive and flexible access to web-extracted data","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Information retrieval; Schema (genetic algorithms); Query language; Web search query; Web query classification; World Wide Web; Search engine","score_opus":0.0761598873544217,"score_gpt":0.3487495811995635,"score_spread":0.2725896938451418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088403135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01587967,0.00061699253,0.96555406,0.0017111563,0.000062741645,0.0002403379,0.0034175296,0.0070917243,0.005425764],"genre_scores_gemma":[0.2831666,0.0022933327,0.69480294,0.0014208046,0.0001673974,0.0005059763,0.011278576,0.001940155,0.0044242344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9933728,0.0019480311,0.0011328676,0.0008995783,0.0024027482,0.00024390804],"domain_scores_gemma":[0.98502815,0.007550261,0.0007105525,0.0051041017,0.0013649408,0.00024197335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067564105,0.00063338043,0.0010630039,0.0031696004,0.00078796514,0.005980798,0.0021013892,0.0012121635,0.0016436137],"category_scores_gemma":[0.02162755,0.0007142046,0.0012478462,0.004475774,0.0018870573,0.0115316445,0.007377584,0.0021010223,0.0011759475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063996017,0.00039337378,0.004524974,0.0020582005,0.00027628618,0.002026003,0.0048700995,0.045104787,0.0667048,0.51591647,0.026714344,0.33077067],"study_design_scores_gemma":[0.0001353749,0.00009200986,0.0010842843,0.00043710493,0.00013567008,0.0009621675,0.0014718334,0.20164369,0.047124956,0.61280334,0.13396989,0.00013963673],"about_ca_topic_score_codex":0.0015150879,"about_ca_topic_score_gemma":0.0026922058,"teacher_disagreement_score":0.0067564105,"about_ca_system_score_codex":0.0007056369,"about_ca_system_score_gemma":0.0014595365,"threshold_uncertainty_score":0.035731733},"labels":[],"label_agreement":null},{"id":"W2088710510","doi":"10.1145/2348283.2348432","title":"Integrative online research-data management","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Modular design; Process (computing); Context (archaeology); Domain (mathematical analysis); Software; Legacy system; Interface (matter); Presentation (obstetrics); Data management; Software engineering; Data science; World Wide Web; Set (abstract data type); Database; Operating system","score_opus":0.3298262530142722,"score_gpt":0.4497670134995159,"score_spread":0.11994076048524371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088710510","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016641583,0.0013478115,0.8001945,0.006084,0.00053849636,0.0023661056,0.016751904,0.100122504,0.055953056],"genre_scores_gemma":[0.1355719,0.0014471577,0.760147,0.0017193487,0.0014015208,0.0026114876,0.05233951,0.012446682,0.032315426],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9867035,0.004511817,0.001706065,0.0027200968,0.003868484,0.0004900963],"domain_scores_gemma":[0.9107604,0.018009732,0.0047364575,0.04950899,0.009934733,0.007049763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027954968,0.0013519389,0.0018819207,0.014331601,0.0026342636,0.014519857,0.005331922,0.0015175547,0.019712515],"category_scores_gemma":[0.03500367,0.0011538903,0.001284025,0.016466253,0.0019213166,0.015556905,0.012277253,0.0027600466,0.015480862],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044343277,0.0008982507,0.015134416,0.000729034,0.000273048,0.00039588727,0.0032022144,0.0028076079,0.011137245,0.059108216,0.16173229,0.74413836],"study_design_scores_gemma":[0.00019823667,0.00024175896,0.013131259,0.0003563217,0.00020852256,0.00066431717,0.0016545714,0.042662587,0.021805327,0.11847076,0.80034393,0.0002623723],"about_ca_topic_score_codex":0.0018592627,"about_ca_topic_score_gemma":0.0018288733,"teacher_disagreement_score":0.027954968,"about_ca_system_score_codex":0.0026791275,"about_ca_system_score_gemma":0.0066245114,"threshold_uncertainty_score":0.14784175},"labels":[],"label_agreement":null},{"id":"W2088884221","doi":"10.4018/jwltt.2009010105","title":"A Case Study of Ontology-Driven Development of Intelligent Educational Systems","year":2009,"lang":"en","type":"article","venue":"International Journal of Web-Based Learning and Teaching Technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; CBC (Canada)","funders":"","keywords":"Ontology; Computer science; Process ontology; Ontology-based data integration; Software engineering; Upper ontology; Suggested Upper Merged Ontology; Software development; Software; Systems engineering; Knowledge management; Engineering; Domain knowledge; Programming language","score_opus":0.02377647794283716,"score_gpt":0.30930268034015934,"score_spread":0.2855262023973222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088884221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7376903,0.0005508346,0.15083817,0.004051081,0.00011803825,0.0009158216,0.0002740441,0.0004943317,0.10506733],"genre_scores_gemma":[0.8963666,0.00034512207,0.088797964,0.00019737794,0.000015838112,0.00021240648,0.00017853256,0.00009877395,0.013787444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958354,0.0022394203,0.00018757473,0.00023581053,0.0011280354,0.00037371504],"domain_scores_gemma":[0.99430686,0.0034943381,0.00026958348,0.0006826406,0.00057588954,0.00067068066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004056562,0.00043747266,0.00032911534,0.0010952335,0.0035764226,0.0026064236,0.0015114538,0.003096813,0.0026435708],"category_scores_gemma":[0.008579209,0.0003580333,0.00079640205,0.0012324665,0.0023139669,0.0027364553,0.0026589164,0.0018983452,0.0005596538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065149006,0.004435448,0.03476623,0.0011175585,0.0001767066,0.0965429,0.1198432,0.08308087,0.026395688,0.37768537,0.01954886,0.23575577],"study_design_scores_gemma":[0.00060861115,0.0013074441,0.020997155,0.0006562622,0.00017453739,0.02602592,0.069930784,0.23550549,0.04794017,0.0827757,0.5138195,0.00025842007],"about_ca_topic_score_codex":0.007762571,"about_ca_topic_score_gemma":0.012474976,"teacher_disagreement_score":0.007762571,"about_ca_system_score_codex":0.002385982,"about_ca_system_score_gemma":0.0030362369,"threshold_uncertainty_score":0.02145338},"labels":[],"label_agreement":null},{"id":"W2091978961","doi":"10.1145/568760.568801","title":"Design of knowledge-based systems with the ontology-domain-system approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ontology; Unified Modeling Language; Software engineering; Domain engineering; Reuse; Process ontology; Ontology-based data integration; Domain knowledge; Feature-oriented domain analysis; Upper ontology; Domain analysis; Suggested Upper Merged Ontology; Domain model; Software development; Programming language; Software; Software construction; Engineering","score_opus":0.04645686346020569,"score_gpt":0.21402306669919124,"score_spread":0.16756620323898555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091978961","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038074448,0.0005889324,0.98340285,0.0010299305,0.000071517046,0.00025343147,0.00004098193,0.0002964206,0.010508398],"genre_scores_gemma":[0.105678596,0.0013008052,0.8867859,0.00037064496,0.000077853314,0.00070629595,0.00023379181,0.000090533045,0.0047555277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99734455,0.000994613,0.00027681296,0.00032756221,0.0008324692,0.0002240238],"domain_scores_gemma":[0.9984034,0.00067650207,0.00014303648,0.00028015065,0.00031084643,0.0001860796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040806644,0.0006899202,0.0008645048,0.0012751439,0.0016348959,0.00594496,0.002559249,0.002662558,0.002731637],"category_scores_gemma":[0.0050386083,0.000994349,0.0019131147,0.0015573314,0.0031992611,0.0060017575,0.004396154,0.0022545035,0.0011641369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032058786,0.000115156625,0.00045917253,0.00036481096,0.00014248627,0.0004124383,0.0014660403,0.03606318,0.003344528,0.9016433,0.0023726819,0.053584136],"study_design_scores_gemma":[0.00012615156,0.000108462315,0.000278496,0.00034295078,0.00019483785,0.0003965454,0.00057652435,0.17086929,0.0053217146,0.6835183,0.1381955,0.00007123519],"about_ca_topic_score_codex":0.0032332605,"about_ca_topic_score_gemma":0.003578583,"teacher_disagreement_score":0.00594496,"about_ca_system_score_codex":0.001855255,"about_ca_system_score_gemma":0.0037115507,"threshold_uncertainty_score":0.021580875},"labels":[],"label_agreement":null},{"id":"W2092547615","doi":"10.1007/s10506-009-9082-z","title":"Meta-relation and ontology closure in Conceptual Structure Theory","year":2009,"lang":"en","type":"article","venue":"Artificial Intelligence and Law","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Relation (database); Computer science; Process ontology; Formal ontology; Upper ontology; Closure (psychology); Ontology Inference Layer; Suggested Upper Merged Ontology; Rotation formalisms in three dimensions; Knowledge representation and reasoning; Theoretical computer science; Information retrieval; Epistemology; Mathematics; Artificial intelligence; Semantic Web; Data mining; OWL-S","score_opus":0.08347819137130967,"score_gpt":0.293510902390329,"score_spread":0.21003271101901932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092547615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051748298,0.0056627137,0.86384064,0.011344936,0.0010074885,0.00013733002,0.0004138158,0.0002926741,0.0655522],"genre_scores_gemma":[0.812504,0.0024998423,0.17305267,0.001170736,0.0013817315,0.000400027,0.00067578023,0.00025185192,0.008063331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9939323,0.002627439,0.00066079793,0.0011238226,0.0012375023,0.00041817696],"domain_scores_gemma":[0.978738,0.014959957,0.0009703394,0.00331215,0.0014487967,0.00057073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01096833,0.0006733853,0.002088815,0.0040497985,0.0053169844,0.0067167445,0.0033738664,0.0038677282,0.0067427605],"category_scores_gemma":[0.028439539,0.001417169,0.0033802683,0.004062205,0.015087041,0.03715789,0.0058323834,0.008458583,0.00071452424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010279395,0.000009319682,0.0000621805,0.000020301695,0.0000051129573,0.000023337576,0.00024212396,0.0002542105,0.000039315197,0.99737096,0.00033658018,0.0016264452],"study_design_scores_gemma":[0.000004810491,0.0000023181979,0.000019357905,0.000007737769,0.0000051365246,0.000017774417,0.000039850664,0.0009324234,0.000041386593,0.9979704,0.0009554833,0.0000033702538],"about_ca_topic_score_codex":0.0036856616,"about_ca_topic_score_gemma":0.0015369919,"teacher_disagreement_score":0.01096833,"about_ca_system_score_codex":0.0034988653,"about_ca_system_score_gemma":0.0021413604,"threshold_uncertainty_score":0.058006763},"labels":[],"label_agreement":null},{"id":"W2093824416","doi":"10.2298/csis0901023k","title":"Model driven engineering of a tableau algorithm for description logics","year":2009,"lang":"en","type":"article","venue":"Computer Science and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Metamodeling; Computer science; Programming language; Lisp; Semantic reasoner; Syntax; Java; Abstract syntax; Description logic; Ontology; Implementation; Model transformation; Algorithm; Theoretical computer science; Semantics (computer science); Artificial intelligence","score_opus":0.02642450872349376,"score_gpt":0.22554504122943297,"score_spread":0.19912053250593922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093824416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010734173,0.000031519412,0.9970902,0.000077727986,0.000018186955,0.000039546456,0.000027468946,0.00029610188,0.0013457866],"genre_scores_gemma":[0.027596861,0.00006879208,0.97032845,0.00005650075,0.000009004155,0.000115444695,0.00010171648,0.00016170819,0.0015615594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979752,0.00069127936,0.00013499238,0.00026242432,0.0008315535,0.00010452825],"domain_scores_gemma":[0.99754155,0.001628909,0.00010398392,0.00034800067,0.00032912413,0.00004851004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002963277,0.0005283442,0.0005032912,0.0011857802,0.0009781921,0.0025137903,0.0014241806,0.0010292546,0.0051189573],"category_scores_gemma":[0.0068952814,0.0005921707,0.0016456518,0.0008630982,0.0017789224,0.0029251613,0.0017167062,0.0017964912,0.0011359908],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004818558,0.000051193634,0.00026403076,0.00015931058,0.00003745492,0.00011539041,0.00030981397,0.051791016,0.004795995,0.8533621,0.0018279426,0.087237634],"study_design_scores_gemma":[0.000042318283,0.000053984608,0.000061762046,0.00010520887,0.000029773495,0.00012303003,0.00006866256,0.48469323,0.010062315,0.46797583,0.0367551,0.000028811097],"about_ca_topic_score_codex":0.0031435876,"about_ca_topic_score_gemma":0.0035229984,"teacher_disagreement_score":0.0051189573,"about_ca_system_score_codex":0.0019980776,"about_ca_system_score_gemma":0.002315265,"threshold_uncertainty_score":0.017124653},"labels":[],"label_agreement":null},{"id":"W2094314288","doi":"10.1002/cjas.25","title":"L'ingénierie des connaissances pour la modélisation du raisonnement dans une tâche de diagnostic: Application à la recherche et sauvetage","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Domain (mathematical analysis); Computer science; Humanities; Artificial intelligence; Philosophy; Mathematics","score_opus":0.24423076762206217,"score_gpt":0.383270899491837,"score_spread":0.13904013186977485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094314288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036662843,0.000543735,0.95582676,0.0013871954,0.000059629336,0.00017056342,0.00031217685,0.00066819496,0.0043688207],"genre_scores_gemma":[0.41178873,0.0007563936,0.5827072,0.0001624368,0.00005397765,0.0003523063,0.0005228785,0.00016742806,0.0034886603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921802,0.0037005243,0.000808416,0.0010456515,0.001993702,0.00027152037],"domain_scores_gemma":[0.97852725,0.01521151,0.0011427933,0.0019990308,0.0027470402,0.00037226765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012452807,0.0012879046,0.0010012658,0.0037053865,0.0016032289,0.008996165,0.002116082,0.0028348053,0.0034616238],"category_scores_gemma":[0.03338087,0.0011867218,0.0029749435,0.0024126342,0.0037821915,0.006263088,0.002883837,0.0033377255,0.0007579247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022877932,0.00019464054,0.008865058,0.00045059848,0.00022332446,0.0005131236,0.005351143,0.64585996,0.004331566,0.25968954,0.0012374979,0.07305472],"study_design_scores_gemma":[0.000024322982,0.000029514826,0.00067080616,0.00010647028,0.000060408027,0.00007456949,0.00031206067,0.9556815,0.0012547983,0.03588493,0.00587198,0.000028620583],"about_ca_topic_score_codex":0.10401769,"about_ca_topic_score_gemma":0.06543715,"teacher_disagreement_score":0.10401769,"about_ca_system_score_codex":0.006343558,"about_ca_system_score_gemma":0.004961638,"threshold_uncertainty_score":0.20682442},"labels":[],"label_agreement":null},{"id":"W2094408781","doi":"10.1111/j.1479-6988.2007.00069.x","title":"TLC - Truth, Lies and Consequences","year":2007,"lang":"en","type":"editorial","venue":"International Journal of Evidence-Based Healthcare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Registered Nurses' Association of Ontario","funders":"","keywords":"Philosophy","score_opus":0.1373550213831403,"score_gpt":0.40823975502011683,"score_spread":0.2708847336369765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094408781","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01173572,0.043666482,0.027577346,0.5584776,0.0061345617,0.00016921025,0.00016785982,0.00016205378,0.3519092],"genre_scores_gemma":[0.83283,0.020080103,0.017337507,0.08585325,0.0028912066,0.00047558115,0.00016245482,0.00030113218,0.040068716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9620206,0.02789021,0.0011948413,0.0021749875,0.0049277665,0.0017916237],"domain_scores_gemma":[0.96953404,0.021262294,0.0017184088,0.003673729,0.0025838374,0.0012277471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031929646,0.0009928184,0.0012160619,0.0022878936,0.009707312,0.019300034,0.0028236439,0.010071595,0.009363929],"category_scores_gemma":[0.05127497,0.0005910475,0.0007304839,0.0020553009,0.09066552,0.028602453,0.011687396,0.013408895,0.0020247032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014461916,0.000011703188,0.000229669,0.00014660206,0.0000085272595,0.00025810293,0.010320432,0.000104206956,0.000047531576,0.96328473,0.018289302,0.0072847256],"study_design_scores_gemma":[0.000011901611,0.000017036178,0.00013640626,0.00096666993,0.0000070486813,0.00041894388,0.013835807,0.00018682668,0.00009788519,0.8059308,0.17837374,0.000016859763],"about_ca_topic_score_codex":0.0047616856,"about_ca_topic_score_gemma":0.0039747762,"teacher_disagreement_score":0.031929646,"about_ca_system_score_codex":0.009291577,"about_ca_system_score_gemma":0.0097443685,"threshold_uncertainty_score":0.1688621},"labels":[],"label_agreement":null},{"id":"W2094620092","doi":"10.1109/icis.2013.6607855","title":"Data driven conceptual structures for simultaneous activities","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Fuzzy logic; Computer science; Modality (human–computer interaction); Plan (archaeology); Artificial intelligence; Key (lock); Point (geometry); Order (exchange); Data mining; Machine learning; Mathematics","score_opus":0.053623728094887,"score_gpt":0.2896753968942784,"score_spread":0.2360516687993914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094620092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043063588,0.0004670291,0.9819356,0.0014727733,0.00012621727,0.00026616376,0.00084067805,0.00033745743,0.010247695],"genre_scores_gemma":[0.11935842,0.0006871212,0.86922175,0.0004595074,0.0001131239,0.0011022546,0.0023322084,0.00012492665,0.006600784],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948885,0.0016785811,0.0008401358,0.0009869855,0.0012770873,0.00032868452],"domain_scores_gemma":[0.9929894,0.0027270042,0.0006345244,0.0016227582,0.0015679026,0.00045846048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006858147,0.0010801274,0.0007491122,0.0031783776,0.002518555,0.0073933774,0.0034704516,0.0027209453,0.006234047],"category_scores_gemma":[0.011047897,0.001107798,0.0027446616,0.003908334,0.00477622,0.014053606,0.0045755035,0.0046610837,0.0016030563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015274398,0.000018032859,0.00014112027,0.00007861442,0.000011377943,0.00012827867,0.0008241319,0.0026329798,0.00028578748,0.9870386,0.0010776948,0.0077482075],"study_design_scores_gemma":[0.000029359939,0.000028244654,0.00013906165,0.00014522397,0.000031498585,0.00024366267,0.0006292968,0.025921172,0.0008814082,0.88606185,0.0858562,0.000033072847],"about_ca_topic_score_codex":0.0071571004,"about_ca_topic_score_gemma":0.007411088,"teacher_disagreement_score":0.0073933774,"about_ca_system_score_codex":0.0036469328,"about_ca_system_score_gemma":0.0031220394,"threshold_uncertainty_score":0.036269724},"labels":[],"label_agreement":null},{"id":"W2095238861","doi":"10.1016/j.cageo.2008.03.009","title":"Annotation modeling with formal ontologies: Implications for informal ontologies","year":2008,"lang":"en","type":"article","venue":"Computers & Geosciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Web Ontology Language; Semantic Web; RDF; Semantic Web Rule Language; Ontology; Knowledge representation and reasoning; XML; Formal ontology; Description logic; World Wide Web; Information retrieval; Semantic analytics; Upper ontology; Social Semantic Web; Programming language; Artificial intelligence","score_opus":0.060590300615876974,"score_gpt":0.27369679822668097,"score_spread":0.213106497610804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095238861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047080945,0.0003660953,0.98273844,0.0060178633,0.000111772926,0.00013513837,0.00023241999,0.00041924423,0.005270938],"genre_scores_gemma":[0.24528036,0.0011242724,0.74376094,0.0017203595,0.00048218892,0.0008218558,0.0015803583,0.0005026827,0.0047269776],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9623706,0.023420671,0.003945208,0.0035571102,0.0057106013,0.0009958519],"domain_scores_gemma":[0.8572505,0.10367294,0.0064483494,0.022667525,0.007596237,0.002364457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03594915,0.0015194041,0.0017569589,0.003564761,0.0039649154,0.01658207,0.00731211,0.005082585,0.007030066],"category_scores_gemma":[0.109115876,0.0019237486,0.0031359296,0.005194612,0.01167018,0.04997495,0.009387862,0.007128445,0.0012590566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030766238,0.00007164575,0.0005501415,0.00015303474,0.000052687992,0.00011182517,0.0016967374,0.0074354713,0.0002097188,0.9765518,0.0015343056,0.011601882],"study_design_scores_gemma":[0.000015711892,0.0000064831343,0.000063849206,0.00007422003,0.00002276672,0.00003874926,0.00029255767,0.023517665,0.0002597492,0.9706113,0.005081748,0.000015220779],"about_ca_topic_score_codex":0.009005577,"about_ca_topic_score_gemma":0.00844984,"teacher_disagreement_score":0.03594915,"about_ca_system_score_codex":0.005000123,"about_ca_system_score_gemma":0.006735307,"threshold_uncertainty_score":0.19011956},"labels":[],"label_agreement":null},{"id":"W2095267231","doi":"10.4018/jdm.2010112301","title":"Using Ontology Languages for Conceptual Modeling","year":2010,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Ontology; Domain (mathematical analysis); Domain model; Representation (politics); Conceptual model; Rule-based machine translation; Semantics (computer science); Ontology language; Natural language processing; Grammar; Artificial intelligence; Semantic Web; Domain knowledge; Programming language; Linguistics; Database","score_opus":0.07898364653942676,"score_gpt":0.3472388617901349,"score_spread":0.26825521525070817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095267231","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001074609,0.0013006402,0.9850034,0.0028497977,0.00022620974,0.00017184937,0.00019343226,0.00045500544,0.008725052],"genre_scores_gemma":[0.030427216,0.0026097165,0.961458,0.00093982945,0.00022030248,0.00080426445,0.0006186655,0.00022723364,0.0026947013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9847148,0.008676683,0.0022228248,0.00095082365,0.002964315,0.00047060882],"domain_scores_gemma":[0.98534876,0.008824348,0.0011678432,0.002716892,0.0015049588,0.00043730417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01692754,0.0015291426,0.0013531148,0.0055463417,0.0031800414,0.010166917,0.0038285588,0.0036069963,0.0038581812],"category_scores_gemma":[0.020414865,0.0015363744,0.0038932299,0.0061700763,0.009799068,0.01991206,0.0062080724,0.0077801133,0.0013192075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051304455,0.000015283644,0.00009042966,0.00012493928,0.000021328085,0.00010799548,0.0015276738,0.0018959626,0.00021880069,0.9816761,0.0016127496,0.012703528],"study_design_scores_gemma":[0.00001809908,0.000014965037,0.00007119009,0.00026687694,0.000025341593,0.0001970537,0.00038900677,0.009248008,0.0005369622,0.8790595,0.110137135,0.00003589176],"about_ca_topic_score_codex":0.0072595295,"about_ca_topic_score_gemma":0.006885838,"teacher_disagreement_score":0.01692754,"about_ca_system_score_codex":0.0037715395,"about_ca_system_score_gemma":0.0062817945,"threshold_uncertainty_score":0.08952248},"labels":[],"label_agreement":null},{"id":"W2095758395","doi":"10.1111/j.1467-8535.2006.00611.x","title":"Ontology mappings to improve learning resource search","year":2006,"lang":"en","type":"article","venue":"British Journal of Educational Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ontology; Computer science; Upper ontology; Interoperability; Process ontology; Context (archaeology); Semantic Web; Ontology-based data integration; Resource (disambiguation); OWL-S; Ontology alignment; Domain (mathematical analysis); World Wide Web; Curriculum; Suggested Upper Merged Ontology; Information retrieval; Knowledge management; Semantic Web Stack","score_opus":0.008499455123420431,"score_gpt":0.25542982412075926,"score_spread":0.24693036899733883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095758395","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08424952,0.0006350532,0.8961134,0.000834913,0.00015189518,0.0003729396,0.00038803238,0.0064147795,0.0108394865],"genre_scores_gemma":[0.34659195,0.00037266183,0.6471235,0.00015718359,0.000042346765,0.00020646896,0.0011390649,0.00054328114,0.003823472],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966685,0.0014994182,0.00021528055,0.00034836694,0.0010950599,0.00017338133],"domain_scores_gemma":[0.9939281,0.0032283275,0.00022646245,0.0013212797,0.0011486168,0.00014721627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032991513,0.0007168064,0.00091030454,0.0032311173,0.0010694874,0.0017501876,0.0015515877,0.0012089072,0.0049432623],"category_scores_gemma":[0.01979163,0.00036894437,0.0008328394,0.0030233834,0.0005448927,0.005707915,0.0029445775,0.0009239197,0.0013229247],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025456562,0.00068611297,0.007315091,0.00031255063,0.00014451871,0.0002429652,0.00084840157,0.081117265,0.009280502,0.067216866,0.013362502,0.8192187],"study_design_scores_gemma":[0.00010238524,0.000111144596,0.0023259402,0.000094945506,0.00014636834,0.0002650565,0.0005800928,0.860997,0.022921586,0.07051925,0.041887242,0.000048944003],"about_ca_topic_score_codex":0.0060140365,"about_ca_topic_score_gemma":0.0050059054,"teacher_disagreement_score":0.0060140365,"about_ca_system_score_codex":0.0010938206,"about_ca_system_score_gemma":0.0016831479,"threshold_uncertainty_score":0.01744777},"labels":[],"label_agreement":null},{"id":"W2096006132","doi":"10.1109/dest.2013.6611347","title":"Unstructured data extraction in distributed NoSQL","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"NoSQL; Computer science; Unstructured data; USable; Knowledge extraction; Big data; Data mining; Schema (genetic algorithms); Hidden Markov model; Information retrieval; Database; Artificial intelligence; World Wide Web","score_opus":0.03776107175899748,"score_gpt":0.28527521054192384,"score_spread":0.24751413878292636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096006132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019134324,0.00026945685,0.9474311,0.00051918003,0.000068550056,0.00039760207,0.0028007354,0.026217274,0.0031617691],"genre_scores_gemma":[0.22580346,0.00047204125,0.75223124,0.00044448246,0.000069036505,0.00042708192,0.013070744,0.0017512304,0.0057307556],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958152,0.00063182745,0.00069993077,0.000783379,0.0018482826,0.00022138088],"domain_scores_gemma":[0.99531806,0.0015019387,0.00030636493,0.0018327895,0.0008623897,0.00017853518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035589852,0.00062587677,0.0011061039,0.0024998114,0.0011570399,0.0038855246,0.0017370469,0.00074974325,0.0027054688],"category_scores_gemma":[0.010626189,0.0007083683,0.0012880432,0.003387648,0.00082229386,0.004748669,0.004736704,0.0011995815,0.0013963499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001137546,0.00058153324,0.015509441,0.0013512532,0.0003616591,0.0025140152,0.0036378393,0.04275751,0.031284314,0.10166655,0.02995286,0.76924545],"study_design_scores_gemma":[0.00023368499,0.00015636714,0.00496763,0.00023716767,0.00014374696,0.0010574384,0.0017875845,0.6037813,0.057172023,0.20513947,0.12515992,0.00016369954],"about_ca_topic_score_codex":0.004300196,"about_ca_topic_score_gemma":0.004823224,"teacher_disagreement_score":0.004300196,"about_ca_system_score_codex":0.0009666369,"about_ca_system_score_gemma":0.0017228606,"threshold_uncertainty_score":0.018821895},"labels":[],"label_agreement":null},{"id":"W2096789555","doi":"10.1109/ipcc.1989.102122","title":"Technical translation for multiple-language support","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"German; Computer science; Expert system; Knowledge base; Machine translation; Process (computing); Interface (matter); Product (mathematics); User interface; Natural language processing; World Wide Web; Software engineering; Artificial intelligence; Programming language; Linguistics; Operating system","score_opus":0.035820685834904165,"score_gpt":0.2913417007924104,"score_spread":0.25552101495750623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096789555","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028249277,0.0037928985,0.52600914,0.020656401,0.012865853,0.00034572778,0.001042883,0.0039907168,0.4284715],"genre_scores_gemma":[0.10982091,0.008596425,0.5156638,0.019586438,0.0056347353,0.0013494294,0.0045013437,0.0092562465,0.3255907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942577,0.0022427798,0.0008260465,0.0004905972,0.0017815434,0.0004013585],"domain_scores_gemma":[0.99212027,0.0031611903,0.00041409163,0.0018513823,0.00226105,0.00019197528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037922265,0.0010955563,0.00042343122,0.0027405547,0.002463553,0.0052989186,0.0013119108,0.003143834,0.04240987],"category_scores_gemma":[0.012222642,0.00063875964,0.0009410474,0.0028692274,0.0031377382,0.0074065183,0.0041946964,0.0040322747,0.035792056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026032003,0.000051073966,0.00014482478,0.00044894777,0.0000146110715,0.00066548685,0.0026697894,0.0005229717,0.0018478811,0.7412378,0.15271577,0.09965482],"study_design_scores_gemma":[0.000008093629,0.000016696886,0.00011491027,0.000176849,0.000008963018,0.0005652383,0.000377872,0.0007343432,0.0017237945,0.04391397,0.95234,0.000019322877],"about_ca_topic_score_codex":0.0016827334,"about_ca_topic_score_gemma":0.0018282458,"teacher_disagreement_score":0.04240987,"about_ca_system_score_codex":0.0019910347,"about_ca_system_score_gemma":0.002423473,"threshold_uncertainty_score":0.14187515},"labels":[],"label_agreement":null},{"id":"W2098036593","doi":"10.1109/ccece.2006.277704","title":"Machine Learning for Classifying Learning Objects","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Ontology; Learning object; Metadata; Domain (mathematical analysis); Ontology learning; Object (grammar); Set (abstract data type); Information retrieval; XML; Artificial intelligence; World Wide Web; Semantic Web; Process ontology; Suggested Upper Merged Ontology; Programming language","score_opus":0.021912404542869957,"score_gpt":0.2476730674461217,"score_spread":0.22576066290325172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098036593","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006876598,0.00063301245,0.9872327,0.0005736997,0.00010136015,0.00036207985,0.0008643281,0.0013695906,0.001986608],"genre_scores_gemma":[0.0949667,0.00088476203,0.8954365,0.0002948259,0.00020030682,0.0010836299,0.004739391,0.00013163757,0.0022623169],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947607,0.0015531924,0.00074514386,0.0013683699,0.0013661694,0.00020630579],"domain_scores_gemma":[0.9922869,0.0051157326,0.0004615992,0.0010231626,0.0010103164,0.0001023227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047388826,0.0015337185,0.0014960378,0.005526067,0.001110597,0.00458832,0.0029763523,0.0019935993,0.0027534766],"category_scores_gemma":[0.017138049,0.0005048489,0.0018124604,0.005330645,0.0012410289,0.0052173752,0.0017007766,0.0023301877,0.0019440923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013711194,0.00030112363,0.0074373637,0.0008915988,0.00019556441,0.000266376,0.0005412508,0.09714128,0.0031206924,0.06427339,0.01132516,0.8143691],"study_design_scores_gemma":[0.000035642923,0.000107525615,0.0016326515,0.0002634668,0.00007864694,0.00019066979,0.0004975257,0.76031363,0.0049125403,0.21099217,0.020918485,0.000057151155],"about_ca_topic_score_codex":0.0046370965,"about_ca_topic_score_gemma":0.003509367,"teacher_disagreement_score":0.005526067,"about_ca_system_score_codex":0.002005109,"about_ca_system_score_gemma":0.0022474986,"threshold_uncertainty_score":0.025061905},"labels":[],"label_agreement":null},{"id":"W209815039","doi":"","title":"Toward Developing Knowledge Representation in Emergency Medical Assistance through a Ontology-based Semantic Cache Model.","year":2009,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Ontology; Knowledge representation and reasoning; Representation (politics); Cache; Information retrieval; Knowledge management; Natural language processing; Artificial intelligence","score_opus":0.03400627911635303,"score_gpt":0.28771491602497096,"score_spread":0.25370863690861795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W209815039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006658274,0.0002997785,0.9854887,0.00093174976,0.000054550845,0.00021639898,0.0004935696,0.0010839882,0.004772991],"genre_scores_gemma":[0.12244618,0.0007379083,0.8717132,0.0002541599,0.000030419957,0.00033020662,0.0015679877,0.0001353046,0.0027846084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874383,0.00037303366,0.0001801035,0.00015754845,0.00044954673,0.00009589905],"domain_scores_gemma":[0.9980696,0.0006530706,0.00015075214,0.00039109215,0.0006357412,0.00009987797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026515624,0.00041034713,0.0006717767,0.0019866338,0.0010481372,0.004222038,0.0023492968,0.0015769881,0.0019237779],"category_scores_gemma":[0.007691192,0.0004780504,0.0014315725,0.0025402785,0.0012727403,0.0076428168,0.0022994482,0.0016761139,0.0009343802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015691498,0.00037326902,0.0022297446,0.0005789977,0.00018921711,0.00062976807,0.0019211374,0.0955242,0.0056026597,0.7111299,0.012305767,0.1693584],"study_design_scores_gemma":[0.000038937742,0.000051589734,0.00041976795,0.00033094524,0.00022720949,0.0003001125,0.0010316122,0.6528574,0.006911039,0.2815024,0.05627829,0.000050747785],"about_ca_topic_score_codex":0.01681025,"about_ca_topic_score_gemma":0.024931697,"teacher_disagreement_score":0.01681025,"about_ca_system_score_codex":0.0012861651,"about_ca_system_score_gemma":0.004707814,"threshold_uncertainty_score":0.033424795},"labels":[],"label_agreement":null},{"id":"W2098243935","doi":"10.1109/re.2005.35","title":"iVuBlender: a tool for merging incomplete and inconsistent views","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Perspective (graphical); Set (abstract data type); Toleration; Theoretical computer science; Epistemology; Artificial intelligence; Data science; Programming language","score_opus":0.0483151944249221,"score_gpt":0.2818834308373888,"score_spread":0.2335682364124667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098243935","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001866162,0.00012763291,0.9564501,0.00016438562,0.00006388012,0.00023273462,0.0007128855,0.038620226,0.0017619493],"genre_scores_gemma":[0.019097283,0.00016461237,0.97160417,0.00014524983,0.0000231732,0.00034627508,0.0026211387,0.004362091,0.0016360885],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9932029,0.0016254818,0.0010041454,0.0010291783,0.0027650667,0.0003731877],"domain_scores_gemma":[0.98502886,0.008464901,0.0012715631,0.0035055554,0.0013220701,0.00040703002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013975238,0.0020684444,0.0019430722,0.0060570426,0.0019073796,0.00622057,0.005870604,0.0028726358,0.013065196],"category_scores_gemma":[0.031545542,0.0026737142,0.0038612408,0.0031233795,0.0017820988,0.0111055,0.012058595,0.004524562,0.002865323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001018405,0.0003007633,0.0057498133,0.0023163576,0.00076976966,0.0021479286,0.0065134694,0.02333837,0.016805999,0.18187201,0.07161946,0.6875477],"study_design_scores_gemma":[0.0004624995,0.00026562987,0.0017027255,0.0010558447,0.0005272439,0.0021812674,0.0016937547,0.30255118,0.05492213,0.2021787,0.4319141,0.00054496434],"about_ca_topic_score_codex":0.0029748871,"about_ca_topic_score_gemma":0.0052282815,"teacher_disagreement_score":0.013975238,"about_ca_system_score_codex":0.0015167573,"about_ca_system_score_gemma":0.0028311736,"threshold_uncertainty_score":0.073908985},"labels":[],"label_agreement":null},{"id":"W2098301287","doi":"10.1111/j.1755-2567.2006.tb00951.x","title":"IAN HACKING, Historical Ontology Cambridge, MA: Harvard University Press, 2002, vii + 279 pp. ISBN 0-674-00616-x (hardcover)","year":2008,"lang":"en","type":"article","venue":"Theoria","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Miller; Hacker; Queen (butterfly); Citation; Media studies; Art history; Sociology; Library science; Art; Computer science","score_opus":0.019519995141793558,"score_gpt":0.20607075755283702,"score_spread":0.18655076241104346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098301287","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008165779,0.8950199,0.00678678,0.02391378,0.0037000955,0.00001875058,0.00037469238,0.0003472381,0.06902221],"genre_scores_gemma":[0.01701427,0.82172674,0.007602875,0.0059880996,0.0035113536,0.00010262554,0.0009720928,0.0006007481,0.1424812],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993734,0.00015464371,0.00008275445,0.00008635617,0.0002478178,0.000055037726],"domain_scores_gemma":[0.99898165,0.0005902167,0.0001088211,0.000084595646,0.00016161744,0.00007309122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013875331,0.0017645891,0.0012806625,0.0053854487,0.0022410066,0.0057182596,0.0010792809,0.002016574,0.03753265],"category_scores_gemma":[0.003362441,0.0014210896,0.00060597697,0.008510736,0.004330439,0.017563779,0.0018734765,0.0040941606,0.015738588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040067578,0.000022120394,0.0003716115,0.00084222667,0.00003113246,0.00014476386,0.0027542012,0.0003049476,0.0002451363,0.09961864,0.74429923,0.15132599],"study_design_scores_gemma":[0.0000064012324,0.0000050604795,0.0006973879,0.0009769915,0.000018434432,0.0002678318,0.0012932998,0.00010805563,0.0001560062,0.07909113,0.91736346,0.000015974256],"about_ca_topic_score_codex":0.016708957,"about_ca_topic_score_gemma":0.04443118,"teacher_disagreement_score":0.03753265,"about_ca_system_score_codex":0.003013856,"about_ca_system_score_gemma":0.0027943966,"threshold_uncertainty_score":0.12555927},"labels":[],"label_agreement":null},{"id":"W2098960900","doi":"10.1109/cisis.2009.40","title":"Creating Visualizations through Ontology Mapping","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Ontology; Ontology-based data integration; Visualization; Process ontology; Domain (mathematical analysis); Upper ontology; Suggested Upper Merged Ontology; Ontology engineering; Model transformation; Software engineering; Data transformation; Information retrieval; Data mining; Domain knowledge; Data warehouse; Artificial intelligence","score_opus":0.042162842590506254,"score_gpt":0.3123481160945338,"score_spread":0.27018527350402755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098960900","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0127785755,0.00017396371,0.96086013,0.00080413156,0.0001452838,0.00010970226,0.0012258362,0.01683044,0.007071909],"genre_scores_gemma":[0.10828943,0.0005074853,0.8818909,0.00019443875,0.000043308093,0.0003353504,0.0028078358,0.0036274015,0.002303824],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861836,0.00052276766,0.00014310247,0.00023648576,0.00039070606,0.000088635745],"domain_scores_gemma":[0.9932943,0.0032796296,0.0003353599,0.001896613,0.00094555033,0.00024858213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030773117,0.0014369601,0.0008571383,0.0037918699,0.0010461984,0.005025747,0.001466816,0.0012196725,0.00900825],"category_scores_gemma":[0.015382463,0.0008591993,0.0017050682,0.0025607746,0.0010003423,0.007917903,0.0047329534,0.0020083694,0.0015472827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005557773,0.00045040337,0.008768384,0.0016740038,0.0003596313,0.001892033,0.014484202,0.043493755,0.051050134,0.29353732,0.070034295,0.5137001],"study_design_scores_gemma":[0.00019158381,0.0001298257,0.0026309846,0.0006602424,0.0001566188,0.0009550821,0.0025547016,0.2926812,0.056016713,0.33868906,0.30505162,0.0002824001],"about_ca_topic_score_codex":0.0017885538,"about_ca_topic_score_gemma":0.0022499282,"teacher_disagreement_score":0.00900825,"about_ca_system_score_codex":0.00058305863,"about_ca_system_score_gemma":0.00089211983,"threshold_uncertainty_score":0.030135632},"labels":[],"label_agreement":null},{"id":"W2099137546","doi":"10.1145/1645953.1646067","title":"Information extraction meets relation databases","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Intersection (aeronautics); Information retrieval; Information extraction; Relation (database); Relationship extraction; Relational database; Query language; Heading (navigation); World Wide Web; Data science; Semi-structured data; Database; Geography","score_opus":0.02781881261502382,"score_gpt":0.2859362459893979,"score_spread":0.25811743337437404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099137546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031732162,0.016523754,0.8397005,0.026208863,0.0021116498,0.00047463822,0.0051477756,0.0038787676,0.10278092],"genre_scores_gemma":[0.08763261,0.021709103,0.80190617,0.008932081,0.00560637,0.00077310414,0.018610792,0.001538602,0.053291205],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97904724,0.00676012,0.0027682213,0.003999078,0.0067086313,0.0007167839],"domain_scores_gemma":[0.9723547,0.013078934,0.0013169124,0.008380114,0.0041184765,0.00075078104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010384722,0.0014009651,0.0023066623,0.0070089204,0.003241796,0.013925271,0.0037308466,0.0051980033,0.03602482],"category_scores_gemma":[0.04223151,0.0015839842,0.002636518,0.011348755,0.0036944307,0.04198931,0.009197165,0.0053659393,0.033986945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009430525,0.000044536624,0.00063366507,0.00078142935,0.000069372596,0.0005047934,0.00050506985,0.00094056956,0.0009954243,0.7622681,0.06047864,0.17268409],"study_design_scores_gemma":[0.000019613168,0.000017105325,0.00017149566,0.00017441112,0.000035918933,0.00090091344,0.00026630887,0.0048184935,0.0015635057,0.6372127,0.35479113,0.000028404298],"about_ca_topic_score_codex":0.0027851954,"about_ca_topic_score_gemma":0.0022650182,"teacher_disagreement_score":0.03602482,"about_ca_system_score_codex":0.0024514988,"about_ca_system_score_gemma":0.0036136915,"threshold_uncertainty_score":0.12051499},"labels":[],"label_agreement":null},{"id":"W2099521612","doi":"10.4304/jcp.4.4.330-337","title":"SSWP: A Social Semantic Web Portal for Effective Communication in Construction","year":2009,"lang":"en","type":"article","venue":"Journal of Computers","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Social Semantic Web; Semantic Web","score_opus":0.010355833788995992,"score_gpt":0.2678627095279444,"score_spread":0.25750687573894837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099521612","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03568766,0.00042486927,0.806963,0.0059704892,0.00045700866,0.0015010138,0.0044314526,0.063241735,0.081322804],"genre_scores_gemma":[0.28443903,0.0010463473,0.6533675,0.00131146,0.000357953,0.0028048102,0.012149591,0.003412175,0.04111114],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985531,0.0007436545,0.0001403691,0.000084337065,0.00039460327,0.000083960294],"domain_scores_gemma":[0.9980185,0.00091542833,0.00009634237,0.00043881554,0.0002005712,0.0003302763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003167612,0.0003766973,0.00045865925,0.0017833071,0.0015148938,0.0032742445,0.00097443315,0.0022907516,0.018811177],"category_scores_gemma":[0.004303728,0.00030857214,0.0005443798,0.002276477,0.0008972662,0.0068389927,0.0047647664,0.001297235,0.0057000103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000766506,0.0012616203,0.003664642,0.001052774,0.00010432408,0.0018188221,0.0040622153,0.010751888,0.014384357,0.26640666,0.23021466,0.46551153],"study_design_scores_gemma":[0.0003122269,0.00023773458,0.0020110314,0.00026209766,0.000045581393,0.00058225484,0.0012181189,0.07858477,0.0065105488,0.13840021,0.77173626,0.00009918004],"about_ca_topic_score_codex":0.0011121024,"about_ca_topic_score_gemma":0.001321829,"teacher_disagreement_score":0.018811177,"about_ca_system_score_codex":0.00068222295,"about_ca_system_score_gemma":0.0018855231,"threshold_uncertainty_score":0.06292963},"labels":[],"label_agreement":null},{"id":"W2100123024","doi":"10.5334/2004-6-carey","title":"Commentary on: Koper, R. (2004). Use of the Semantic Web to Solve Some Basic Problems in Education","year":2004,"lang":"en","type":"article","venue":"Journal of Interactive Media in Education (Open University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Semantic Web; World Wide Web; Information retrieval","score_opus":0.027509308143704,"score_gpt":0.2684928029544583,"score_spread":0.24098349481075432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100123024","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000071162955,0.0018035007,0.000102266415,0.9449246,0.051320102,0.000009197203,0.00009028087,0.000021102662,0.0016578033],"genre_scores_gemma":[0.0016561996,0.0026227175,0.000249298,0.9247449,0.052470174,0.000053387066,0.000056549754,0.00006617227,0.018080626],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99606967,0.00074665254,0.00049581425,0.000658137,0.0015735509,0.00045607952],"domain_scores_gemma":[0.98229754,0.009987393,0.0010088837,0.0004010323,0.005009807,0.0012952639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004940425,0.0015612511,0.001981121,0.0023943584,0.005397239,0.0046043284,0.0053428374,0.036992483,0.009780754],"category_scores_gemma":[0.029758051,0.0008778843,0.0017121539,0.0026133945,0.006010378,0.009071877,0.002808621,0.0558733,0.01054903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011021183,0.0000028262068,0.000017764462,0.000054093285,0.0000030429171,0.00006176009,0.00014105513,0.000015013845,0.000021659622,0.0014129283,0.9971679,0.001090936],"study_design_scores_gemma":[0.000021902106,0.000012931577,0.0003286496,0.0004021635,0.000016711307,0.00013381566,0.0007085007,0.0000808471,0.00016387182,0.0032801835,0.9948131,0.00003746921],"about_ca_topic_score_codex":0.03966467,"about_ca_topic_score_gemma":0.054049756,"teacher_disagreement_score":0.03966467,"about_ca_system_score_codex":0.0072702076,"about_ca_system_score_gemma":0.00785324,"threshold_uncertainty_score":0.078867614},"labels":[],"label_agreement":null},{"id":"W2100647638","doi":"10.1145/379437.379722","title":"PERSIVAL, a system for personalized search and summarization over multimedia healthcare information","year":2001,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Automatic summarization; Computer science; Health care; Presentation (obstetrics); World Wide Web; Personalized search; Medical information; Multimedia; Digital library; Personalized medicine; Internet privacy; Information retrieval; Medicine; Search engine","score_opus":0.02863656820032564,"score_gpt":0.2813209700394294,"score_spread":0.2526844018391038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100647638","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05172713,0.0037120131,0.53062624,0.0026318072,0.00044114576,0.0024316227,0.025142197,0.34511256,0.038175322],"genre_scores_gemma":[0.23781781,0.0032925487,0.6547235,0.0029475426,0.00043517796,0.001473647,0.04886103,0.007064142,0.04338455],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992545,0.00014355419,0.00011126861,0.00015168001,0.0002979464,0.000041009625],"domain_scores_gemma":[0.9984407,0.0006295653,0.00014100801,0.00035952617,0.00029318355,0.00013603871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016461491,0.0008438488,0.00062404096,0.0033507515,0.00074040785,0.0017249237,0.001116664,0.0008544975,0.006236369],"category_scores_gemma":[0.006422815,0.00044669356,0.0005241625,0.0018482879,0.00045687408,0.0041974755,0.001910768,0.00080912805,0.0030025195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017796889,0.00043228874,0.0034882983,0.0016053575,0.00033897936,0.0007601961,0.0025214301,0.0034040604,0.03451274,0.010837914,0.21996611,0.7203529],"study_design_scores_gemma":[0.00077328767,0.0008164169,0.009544913,0.00040339786,0.0006450941,0.0023657917,0.0028251514,0.10824376,0.07673383,0.033326473,0.76392233,0.0003995862],"about_ca_topic_score_codex":0.0056435033,"about_ca_topic_score_gemma":0.0070016338,"teacher_disagreement_score":0.006236369,"about_ca_system_score_codex":0.0006161724,"about_ca_system_score_gemma":0.0016069562,"threshold_uncertainty_score":0.020862758},"labels":[],"label_agreement":null},{"id":"W2101114896","doi":"10.1145/2597073.2597091","title":"Mining modern repositories with elasticsearch","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Key (lock); Competitive advantage; Relational database; Data science; Database; World Wide Web; Computer security; Business","score_opus":0.016245114301565874,"score_gpt":0.23806064311449818,"score_spread":0.22181552881293232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101114896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2854673,0.008906961,0.5757731,0.0051156036,0.0008213146,0.0013301889,0.056731295,0.030044302,0.03580991],"genre_scores_gemma":[0.43630347,0.004813292,0.44322386,0.0007226727,0.00036081913,0.00087335176,0.100850284,0.0014262095,0.011426067],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935768,0.0007529426,0.0009136351,0.0012737055,0.002926345,0.00055643386],"domain_scores_gemma":[0.9938897,0.0012267486,0.0006083883,0.0024934558,0.001551333,0.00023028938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033222937,0.0013025295,0.0013491914,0.019452559,0.0020191139,0.0058521656,0.0039431904,0.0018754695,0.0049621295],"category_scores_gemma":[0.019714436,0.0010672006,0.0017612928,0.026943397,0.0012571478,0.011043689,0.004515975,0.001552895,0.004487605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006331794,0.00086037116,0.059035644,0.0013439154,0.0006468912,0.0020572005,0.0010473217,0.05953703,0.0067264726,0.049582265,0.0739585,0.7445712],"study_design_scores_gemma":[0.00020308248,0.00030043942,0.02266402,0.0006682923,0.00037060314,0.003163492,0.002852266,0.6081736,0.013106378,0.16616182,0.18217427,0.00016166136],"about_ca_topic_score_codex":0.0077462844,"about_ca_topic_score_gemma":0.014610638,"teacher_disagreement_score":0.019452559,"about_ca_system_score_codex":0.0012336553,"about_ca_system_score_gemma":0.003330128,"threshold_uncertainty_score":0.017570138},"labels":[],"label_agreement":null},{"id":"W2101136362","doi":"","title":"Supporting the Development of Data Wrapping Ontologies (Extended Abstract)","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Ontology-based data integration; Process ontology; Information retrieval; Ontology components; Upper ontology; Semantic Web; Data integration; Domain (mathematical analysis); Ontology alignment; Data mining","score_opus":0.08906755872331254,"score_gpt":0.3503312514659342,"score_spread":0.2612636927426216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101136362","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028238937,0.00037532268,0.9782908,0.0011075631,0.00029229908,0.00033387443,0.0013874596,0.00562545,0.009763371],"genre_scores_gemma":[0.047383085,0.0012459558,0.93240446,0.0009320349,0.00020972195,0.0005794144,0.007764647,0.0021263459,0.0073543014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99283737,0.001538359,0.0011262444,0.0011504807,0.002814254,0.00053322053],"domain_scores_gemma":[0.98816305,0.003906287,0.0009857424,0.00489209,0.0015483316,0.0005044766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007858354,0.0012691867,0.0010477308,0.002551694,0.001960759,0.009508002,0.0038834214,0.003367579,0.011700733],"category_scores_gemma":[0.01984316,0.001455898,0.0030026082,0.0053258007,0.0027164978,0.01580548,0.012811809,0.003916416,0.008334615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023567579,0.00027769263,0.0034180207,0.0018176704,0.0002180803,0.002718982,0.0031428356,0.013688462,0.019041426,0.5891,0.050338738,0.31600246],"study_design_scores_gemma":[0.00007923285,0.00007346649,0.00091014034,0.00084529386,0.00013409075,0.0011223279,0.0003864186,0.06019275,0.026311805,0.20212197,0.70767903,0.00014340648],"about_ca_topic_score_codex":0.004782393,"about_ca_topic_score_gemma":0.0039294227,"teacher_disagreement_score":0.011700733,"about_ca_system_score_codex":0.0014481194,"about_ca_system_score_gemma":0.0029824106,"threshold_uncertainty_score":0.041559458},"labels":[],"label_agreement":null},{"id":"W2101272874","doi":"10.1109/iembs.1995.575360","title":"From content to courseware: through a looking glass","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Resource (disambiguation); Process (computing); Object (grammar); Multimedia; World Wide Web; Task (project management); Selection (genetic algorithm); Set (abstract data type); Subject (documents); Artificial intelligence; Programming language; Systems engineering","score_opus":0.0884700112051756,"score_gpt":0.2671309641454352,"score_spread":0.17866095294025958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101272874","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03933715,0.0024267244,0.6639383,0.039163332,0.0014800525,0.00079542794,0.0004177613,0.010270936,0.2421703],"genre_scores_gemma":[0.285358,0.0024208438,0.45770746,0.0074781594,0.00029304152,0.0005986611,0.0006277676,0.0074446695,0.23807135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970253,0.0011065028,0.00019061967,0.00044402352,0.0008733858,0.00036017084],"domain_scores_gemma":[0.9945696,0.001966847,0.00020878753,0.0012284357,0.0012556665,0.0007705681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039073355,0.00068460737,0.00055135053,0.0025994442,0.0043241177,0.015886363,0.0020528075,0.0033973858,0.021576371],"category_scores_gemma":[0.013029918,0.0014989912,0.000867006,0.0016593585,0.00834584,0.027003262,0.008799719,0.004351446,0.008103287],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019134443,0.00018230411,0.002396028,0.00038864475,0.000020768171,0.0009501736,0.043600954,0.0010747191,0.012195274,0.57146186,0.04992024,0.31761768],"study_design_scores_gemma":[0.000031991647,0.00019785349,0.0013630888,0.0007139861,0.00004496006,0.00078554807,0.015834512,0.0047523053,0.00794809,0.17356347,0.7946318,0.00013240887],"about_ca_topic_score_codex":0.012161872,"about_ca_topic_score_gemma":0.014914103,"teacher_disagreement_score":0.021576371,"about_ca_system_score_codex":0.0039956546,"about_ca_system_score_gemma":0.00399828,"threshold_uncertainty_score":0.07218015},"labels":[],"label_agreement":null},{"id":"W2101853301","doi":"10.1109/wi.2005.158","title":"Visualization Support for Interactive Query Refinement","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Query expansion; Information retrieval; Web query classification; Query language; Query optimization; Web search query; Sargable; Spatial query; RDF query language; Visualization; Process (computing); Query by Example; Representation (politics); Data mining; Search engine; Programming language","score_opus":0.02514736288879543,"score_gpt":0.3223126278776953,"score_spread":0.2971652649888999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101853301","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030253848,0.00086933974,0.8529421,0.0011574909,0.00017351245,0.0005371881,0.002144217,0.097585745,0.014336557],"genre_scores_gemma":[0.3368851,0.0008087772,0.646056,0.00051263947,0.00015675259,0.00080522854,0.00452802,0.00449529,0.005752297],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854124,0.0005195032,0.00013956333,0.00019017085,0.00049585453,0.000113692295],"domain_scores_gemma":[0.992006,0.0052572205,0.0003230087,0.0011762601,0.0009617918,0.00027581718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030604457,0.0014831243,0.00083997956,0.0024288588,0.0006087697,0.0030172837,0.0016649932,0.0012821326,0.014981547],"category_scores_gemma":[0.012701917,0.00054254115,0.0010729909,0.0013846641,0.0006519327,0.0032308763,0.0034629297,0.0014945634,0.0026386946],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031877237,0.0007997895,0.0047097527,0.0019569446,0.00024441298,0.0026003923,0.012499864,0.032318033,0.121782936,0.074122146,0.11160933,0.6341687],"study_design_scores_gemma":[0.0007710579,0.0005618292,0.0040310062,0.0005569695,0.00024460416,0.0012418062,0.0019892256,0.50533813,0.07384678,0.10595429,0.30510873,0.00035556548],"about_ca_topic_score_codex":0.0029881797,"about_ca_topic_score_gemma":0.002911806,"teacher_disagreement_score":0.014981547,"about_ca_system_score_codex":0.0006387222,"about_ca_system_score_gemma":0.00055459695,"threshold_uncertainty_score":0.050118208},"labels":[],"label_agreement":null},{"id":"W2102077699","doi":"10.1109/cbms.2007.71","title":"Merging Healthcare Ontologies: Inconsistency Tolerance and Implementation Issues","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE Symposium on Computer-Based Medical Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Ontology; Perspective (graphical); Domain (mathematical analysis); Component (thermodynamics); Health care; Mechanism (biology); Description logic; Data science; Risk analysis (engineering); Knowledge management; Theoretical computer science; Artificial intelligence; Medicine; Mathematics","score_opus":0.02002723629950376,"score_gpt":0.30918452707691774,"score_spread":0.289157290777414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102077699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014886913,0.0007037443,0.97361594,0.004036453,0.00007764185,0.0003694752,0.0000515855,0.0024664518,0.0037918133],"genre_scores_gemma":[0.1170977,0.0006460868,0.8796571,0.00060878816,0.00005668302,0.0001794801,0.00016110895,0.0004323551,0.0011608189],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96155643,0.020243146,0.0043155076,0.0022263683,0.010376081,0.0012824626],"domain_scores_gemma":[0.9534607,0.022090916,0.003596276,0.012360332,0.007719062,0.0007727322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.059842084,0.00069403526,0.0012426806,0.0023794014,0.0018496669,0.008942096,0.006799837,0.0031251174,0.0028817744],"category_scores_gemma":[0.08510443,0.0016400706,0.0014317626,0.003979273,0.002936395,0.0140730515,0.005267354,0.003833995,0.0008703774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036981466,0.00036872714,0.005339364,0.001205134,0.0003765205,0.0008763264,0.0060496577,0.019614883,0.013832635,0.23715474,0.007349899,0.70746225],"study_design_scores_gemma":[0.00042772584,0.0006575416,0.0049082804,0.0014711773,0.00097273674,0.0044571096,0.008090612,0.3289185,0.09897001,0.3879424,0.16271523,0.00046868203],"about_ca_topic_score_codex":0.0022231066,"about_ca_topic_score_gemma":0.0017623696,"teacher_disagreement_score":0.059842084,"about_ca_system_score_codex":0.0017633253,"about_ca_system_score_gemma":0.003695384,"threshold_uncertainty_score":0.31647897},"labels":[],"label_agreement":null},{"id":"W2102838806","doi":"10.1016/j.ipm.2008.01.003","title":"Lexical cohesion and term proximity in document ranking","year":2008,"lang":"en","type":"article","venue":"Information Processing & Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Query expansion; Ranking (information retrieval); Computer science; Cohesion (chemistry); Information retrieval; Collocation (remote sensing); Relevance (law); Term (time); Query optimization; Natural language processing; Artificial intelligence; Machine learning","score_opus":0.015575429742609198,"score_gpt":0.2417716080082823,"score_spread":0.2261961782656731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102838806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6481903,0.011082245,0.32785505,0.000916437,0.000334324,0.00024812104,0.0010066743,0.00094801,0.009418789],"genre_scores_gemma":[0.93022394,0.0010705503,0.064537406,0.00007311178,0.0004562446,0.00013954674,0.0011851619,0.00012837038,0.0021858008],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99451506,0.0024036136,0.00068441144,0.00060776004,0.0014475966,0.00034159806],"domain_scores_gemma":[0.9592744,0.034777302,0.0015713607,0.0012398815,0.0024118577,0.0007252264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005765066,0.00046864737,0.0018883978,0.014585778,0.0023668534,0.004167299,0.0009420876,0.0015672724,0.002916908],"category_scores_gemma":[0.03846732,0.0006150901,0.0009216817,0.012635415,0.0018157259,0.0075202947,0.00238887,0.0014178752,0.0008045201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004106771,0.0009498762,0.09645715,0.0016600809,0.00084394834,0.0010523134,0.0031402986,0.03893217,0.017874818,0.09893999,0.012156298,0.72388625],"study_design_scores_gemma":[0.0006093816,0.0013398547,0.12014913,0.00036696077,0.0014236874,0.0021819328,0.003470624,0.5549489,0.014030826,0.28560826,0.015454577,0.00041575875],"about_ca_topic_score_codex":0.004461339,"about_ca_topic_score_gemma":0.006525444,"teacher_disagreement_score":0.014585778,"about_ca_system_score_codex":0.0010641504,"about_ca_system_score_gemma":0.0012415379,"threshold_uncertainty_score":0.030488968},"labels":[],"label_agreement":null},{"id":"W2104129970","doi":"10.1109/cbms.2006.99","title":"Incoporating Data Mining Applications into Clinical Guildelines","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","score_opus":0.1055671020798959,"score_gpt":0.38998775971132016,"score_spread":0.28442065763142427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104129970","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021660268,0.00038318266,0.9445908,0.0023653016,0.00012841728,0.0005462652,0.0017810994,0.019337334,0.009207368],"genre_scores_gemma":[0.09842119,0.00047981317,0.8935648,0.0004208904,0.000035782574,0.00035086277,0.0030307258,0.00084930053,0.0028465523],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99644876,0.001502997,0.0006197486,0.00042407645,0.0008972062,0.00010720225],"domain_scores_gemma":[0.98228455,0.011424125,0.0008278573,0.003315297,0.0018107778,0.0003373326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066778203,0.0006383431,0.00055655336,0.0028878972,0.000861712,0.0044921977,0.0016621501,0.0013228493,0.004726666],"category_scores_gemma":[0.03482085,0.0007009232,0.001004113,0.0034295502,0.0011497096,0.004461608,0.0038065044,0.0013526665,0.0015983256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060785527,0.00046565855,0.013011005,0.0014510402,0.00021456859,0.0021372053,0.0049612084,0.028879547,0.007859218,0.14878422,0.034463435,0.75716496],"study_design_scores_gemma":[0.00025846378,0.00019959966,0.0041069495,0.0013210301,0.0001432735,0.0015043982,0.0018410479,0.38009968,0.03994688,0.28314507,0.28728884,0.00014480187],"about_ca_topic_score_codex":0.003329867,"about_ca_topic_score_gemma":0.005513712,"teacher_disagreement_score":0.0066778203,"about_ca_system_score_codex":0.0012046696,"about_ca_system_score_gemma":0.002365711,"threshold_uncertainty_score":0.03531611},"labels":[],"label_agreement":null},{"id":"W2104226397","doi":"10.1109/qsic.2007.4385517","title":"On the Collaborative Development of Para-Consistent Conceptual Models","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Viewpoints; Conceptual model; Computer science; Ignorance; Development (topology); Conceptual framework; Management science; Knowledge management; Data science; Engineering; Epistemology; Mathematics","score_opus":0.07178995945123613,"score_gpt":0.2771321031540289,"score_spread":0.2053421437027928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104226397","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046089813,0.00030797056,0.9883554,0.0016057695,0.00003097495,0.00016925292,0.00004645591,0.00014832753,0.0047269505],"genre_scores_gemma":[0.07653532,0.0004977265,0.9202772,0.00025848876,0.000047772035,0.00042066706,0.00028017187,0.000101019556,0.0015816909],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95597196,0.028413514,0.002426091,0.0038213702,0.008398203,0.0009688251],"domain_scores_gemma":[0.9337054,0.038780645,0.0030247404,0.01739887,0.005522569,0.0015678003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048436802,0.0015196197,0.0017913075,0.004124583,0.0034949023,0.011011577,0.007238007,0.00435282,0.004382],"category_scores_gemma":[0.0884188,0.0019753594,0.003924223,0.004045224,0.01166622,0.01887786,0.015337727,0.006718695,0.0009528665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004358822,0.00006438378,0.00036946958,0.00019183593,0.00007578988,0.00028709468,0.0039926586,0.016292678,0.0005671836,0.9426936,0.0007882423,0.034633525],"study_design_scores_gemma":[0.000065785374,0.00009168408,0.00021701609,0.00035394536,0.000065889224,0.00026912108,0.0016846253,0.10735096,0.0012296857,0.8626257,0.025988258,0.00005726084],"about_ca_topic_score_codex":0.00479712,"about_ca_topic_score_gemma":0.0052953,"teacher_disagreement_score":0.048436802,"about_ca_system_score_codex":0.004188749,"about_ca_system_score_gemma":0.0065345303,"threshold_uncertainty_score":0.2561614},"labels":[],"label_agreement":null},{"id":"W2104596762","doi":"10.1134/s0361768813020059","title":"Indefinite integration as term rewriting: Integrals containing tangent","year":2013,"lang":"en","type":"article","venue":"Programming and Computer Software","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Rewriting; Term (time); Tangent; Class (philosophy); Algebra over a field; Mathematics; Function (biology); Computer science; Calculus (dental); Pure mathematics; Programming language; Artificial intelligence; Geometry; Physics","score_opus":0.02086620027089474,"score_gpt":0.2483492053390265,"score_spread":0.22748300506813174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104596762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008527834,0.0004534669,0.97307795,0.0001863445,0.00008991915,0.000036649028,0.000045718847,0.00078159437,0.016800566],"genre_scores_gemma":[0.34682348,0.0009876951,0.62761045,0.0002969865,0.00030464173,0.0001128556,0.00023983978,0.0015108585,0.0221132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974927,0.0005167895,0.00022039392,0.0003582244,0.0012853632,0.00012651368],"domain_scores_gemma":[0.9977773,0.0009531335,0.00013595143,0.0004657391,0.0005638035,0.00010411518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028421122,0.0005142978,0.0006961567,0.0011697911,0.00079425686,0.003011626,0.0012386279,0.0007211909,0.0035457471],"category_scores_gemma":[0.0052616512,0.0004327484,0.0012355478,0.0010689873,0.0021810867,0.0050288597,0.0018231015,0.002250183,0.001698673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018595829,0.000027934233,0.00019672688,0.00007230471,0.000017884457,0.00022096797,0.00047608613,0.00406276,0.0053944024,0.9559401,0.0011316775,0.0324405],"study_design_scores_gemma":[0.000014103775,0.0000359447,0.00019082197,0.000048666672,0.00005461471,0.00042501886,0.000080438745,0.07061875,0.016296651,0.8757957,0.036394693,0.000044638527],"about_ca_topic_score_codex":0.000987448,"about_ca_topic_score_gemma":0.0010203113,"teacher_disagreement_score":0.0035457471,"about_ca_system_score_codex":0.0011998529,"about_ca_system_score_gemma":0.0007110544,"threshold_uncertainty_score":0.015030682},"labels":[],"label_agreement":null},{"id":"W2105393998","doi":"","title":"SKOS and the Ontogenesis of Vocabularies","year":2005,"lang":"en","type":"article","venue":"UA Campus Repository (The University of Arizona)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Simple Knowledge Organization System; Computer science; Information retrieval; Ontogeny; Natural language processing; World Wide Web; RDF; Semantic Web; Medicine","score_opus":0.003772227942155004,"score_gpt":0.15806544688823415,"score_spread":0.15429321894607914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105393998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022867003,0.0011064503,0.85994977,0.0059375726,0.0007558937,0.0002260186,0.0010145626,0.0023041873,0.10583858],"genre_scores_gemma":[0.43598336,0.0024210354,0.5115659,0.0026599762,0.00059746194,0.00049914315,0.003992724,0.0017971991,0.040483244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99780697,0.00072508375,0.00043270763,0.00045742647,0.0004043558,0.00017348387],"domain_scores_gemma":[0.9940601,0.001891762,0.0005292956,0.0020610183,0.001120492,0.00033721203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036133272,0.00043471422,0.0005489531,0.0033351535,0.0022075493,0.004884397,0.001216414,0.0009891014,0.007398054],"category_scores_gemma":[0.008365614,0.0007253513,0.0015300222,0.002960783,0.0059258984,0.01863077,0.0051820106,0.002317729,0.002595943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021404423,0.000010917369,0.00032231788,0.00006415729,0.000007853503,0.000065835695,0.0007661352,0.0002729548,0.00063925545,0.977839,0.0012788688,0.018711153],"study_design_scores_gemma":[0.000017142169,0.000018200817,0.00052367186,0.00014108868,0.000021336235,0.0002459525,0.00063770445,0.0026111763,0.0015035192,0.89067245,0.10358532,0.000022544002],"about_ca_topic_score_codex":0.006221027,"about_ca_topic_score_gemma":0.007937731,"teacher_disagreement_score":0.007398054,"about_ca_system_score_codex":0.001762946,"about_ca_system_score_gemma":0.002814115,"threshold_uncertainty_score":0.024748921},"labels":[],"label_agreement":null},{"id":"W2106377821","doi":"10.1109/enabl.1994.330496","title":"A generic enterprise resource ontology","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Resource (disambiguation); Knowledge management; World Wide Web; Scheduling (production processes); Enterprise systems engineering; Upper ontology; Ontology-based data integration; Engineering; Enterprise architecture; Semantic Web; Epistemology; Philosophy; Operations management","score_opus":0.032348996573738346,"score_gpt":0.22468304760412697,"score_spread":0.19233405103038861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106377821","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077788467,0.0012598115,0.890172,0.0043399427,0.0005885818,0.0010939683,0.008705592,0.0049491357,0.0811122],"genre_scores_gemma":[0.06966898,0.0028133895,0.88778985,0.0014998363,0.00017179258,0.0008630665,0.015661128,0.00060159405,0.02093046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978371,0.00036498453,0.0003857094,0.00045200664,0.0006998246,0.00026036997],"domain_scores_gemma":[0.9986896,0.00021706964,0.00011973031,0.00041634805,0.00037128324,0.00018596226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029195494,0.0006282931,0.000666386,0.0030245262,0.0016085055,0.0054376735,0.0017350006,0.002298593,0.0035689624],"category_scores_gemma":[0.003281779,0.0006186544,0.0016004195,0.0044796644,0.0016558637,0.0075398693,0.0030889283,0.0024000348,0.0019457901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029997787,0.00007340825,0.0005618434,0.0002577891,0.00003581763,0.0004237305,0.0008363785,0.0047857263,0.0032354032,0.8979702,0.029786564,0.062003188],"study_design_scores_gemma":[0.000017448314,0.000016777447,0.000695649,0.0002289819,0.00003165933,0.0007297333,0.00045752138,0.0156951,0.0011404803,0.17981797,0.8011283,0.000040405837],"about_ca_topic_score_codex":0.014490212,"about_ca_topic_score_gemma":0.013752684,"teacher_disagreement_score":0.014490212,"about_ca_system_score_codex":0.0025395402,"about_ca_system_score_gemma":0.007197545,"threshold_uncertainty_score":0.028811753},"labels":[],"label_agreement":null},{"id":"W2106688082","doi":"10.1109/cmpsac.2003.1245402","title":"A framework for Web-based research support systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"RSS; Computer science; Decision support system; Adaptation (eye); Web application; Information system; Process (computing); Conceptual framework; World Wide Web; Knowledge management; Data science; Engineering; Data mining","score_opus":0.17923628090458102,"score_gpt":0.3943367342651721,"score_spread":0.21510045336059105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106688082","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011887674,0.00210342,0.94649816,0.0055511207,0.0003194163,0.000450117,0.00033180462,0.0017604332,0.04179672],"genre_scores_gemma":[0.058738396,0.0033368836,0.91269064,0.0014656275,0.0005395373,0.001588666,0.0010891191,0.00038484545,0.020166302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9908539,0.003788469,0.0012624376,0.0010917368,0.0023171236,0.0006862779],"domain_scores_gemma":[0.9939644,0.0023973025,0.0004551943,0.0011524771,0.0013620498,0.0006686292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010565467,0.0015327206,0.0012640107,0.005433915,0.0037149962,0.019653736,0.005506594,0.0067423773,0.010253866],"category_scores_gemma":[0.009929182,0.0014611147,0.002172884,0.006335505,0.008703758,0.017811446,0.0070581017,0.005370548,0.00570568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007345047,0.000019392486,0.000066982124,0.000101950165,0.00001619685,0.0001395821,0.0004683057,0.0024410689,0.00022413416,0.98257667,0.003017928,0.010920318],"study_design_scores_gemma":[0.00002840566,0.000030169229,0.000078841884,0.00023825996,0.000027406333,0.00025927255,0.00038601685,0.015480955,0.00041420927,0.7020139,0.2810071,0.000035390545],"about_ca_topic_score_codex":0.009595766,"about_ca_topic_score_gemma":0.0044755745,"teacher_disagreement_score":0.019653736,"about_ca_system_score_codex":0.004556163,"about_ca_system_score_gemma":0.00644318,"threshold_uncertainty_score":0.055876255},"labels":[],"label_agreement":null},{"id":"W2106898564","doi":"10.1016/s0167-9236(03)00099-x","title":"Decision station: situating decision support systems","year":2003,"lang":"en","type":"article","venue":"Decision Support Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Situated; Decision support system; Computer science; Domain (mathematical analysis); The Internet; Architecture; Decision analysis; R-CAST; Knowledge management; Process (computing); Set (abstract data type); Argument (complex analysis); Process management; Data science; Business decision mapping; Engineering; Data mining; Artificial intelligence; World Wide Web; Geography","score_opus":0.036542654085526136,"score_gpt":0.2998481111881291,"score_spread":0.26330545710260295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106898564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017356707,0.00044965764,0.91654783,0.00088548026,0.00031448854,0.000325661,0.004108561,0.045598954,0.014412679],"genre_scores_gemma":[0.15435152,0.0007627194,0.81097865,0.0003029794,0.00014734668,0.00039382427,0.011875735,0.0036591578,0.017528106],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979019,0.0005199224,0.00023776604,0.0005625413,0.0006305378,0.0001472938],"domain_scores_gemma":[0.9971945,0.0013099519,0.0001972068,0.00074391934,0.00037293593,0.00018142229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037646177,0.0014040298,0.0010536707,0.004578565,0.001404956,0.008058019,0.0027487094,0.002011234,0.017691586],"category_scores_gemma":[0.009123361,0.0010976613,0.0009645885,0.004269633,0.0017161499,0.008785028,0.004035131,0.001803078,0.00908827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017570351,0.0006345116,0.009201321,0.00201195,0.00045578976,0.0011320533,0.008702223,0.04655052,0.038419716,0.18464828,0.05780168,0.6486849],"study_design_scores_gemma":[0.00042130466,0.0003686208,0.0030509578,0.00059745763,0.0006994549,0.00047542754,0.0035726402,0.28664118,0.08180702,0.16460763,0.45750803,0.00025025164],"about_ca_topic_score_codex":0.0069075986,"about_ca_topic_score_gemma":0.004986962,"teacher_disagreement_score":0.017691586,"about_ca_system_score_codex":0.0010501917,"about_ca_system_score_gemma":0.0025640724,"threshold_uncertainty_score":0.059184253},"labels":[],"label_agreement":null},{"id":"W2107047397","doi":"10.14778/1687553.1687600","title":"SMDM","year":2009,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Ontology; Semantics (computer science); RDF; Business domain; IBM; Domain (mathematical analysis); Software engineering; Semantic Web; Business rule; Business process; Information retrieval; Programming language; Engineering","score_opus":0.009923090580914845,"score_gpt":0.21368471931580998,"score_spread":0.20376162873489514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107047397","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010533939,0.0014302095,0.68948144,0.0053657237,0.0014013563,0.00059804914,0.0072818464,0.017590042,0.26631743],"genre_scores_gemma":[0.18189697,0.0031023938,0.5896413,0.0038290678,0.0009148349,0.00092877855,0.04036116,0.0036141488,0.17571136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975019,0.0005469349,0.00024658802,0.0005018988,0.00093566196,0.00026689234],"domain_scores_gemma":[0.99740976,0.0003083859,0.00011426156,0.0011548778,0.0008515713,0.00016111865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023883395,0.00050197175,0.0004676413,0.0015240213,0.0011375514,0.004383196,0.0022366543,0.0013174076,0.034668196],"category_scores_gemma":[0.004133022,0.0003221667,0.0008644941,0.0029973455,0.0006304209,0.0053105224,0.004464703,0.0013758201,0.018965682],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017916384,0.00014062745,0.0017731776,0.00047636783,0.00004917406,0.00045830963,0.00042143857,0.0044701947,0.0066422787,0.4128101,0.19090986,0.3816693],"study_design_scores_gemma":[0.000023307131,0.000029847144,0.00035247405,0.00006583104,0.000013205416,0.0003353199,0.00013718405,0.015902607,0.0040965,0.044370368,0.934658,0.000015421683],"about_ca_topic_score_codex":0.0028030295,"about_ca_topic_score_gemma":0.0033546044,"teacher_disagreement_score":0.034668196,"about_ca_system_score_codex":0.0014069089,"about_ca_system_score_gemma":0.0024481649,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2107048933","doi":"10.1139/l2012-054","title":"Transaction ontology in the domain of infrastructure management<sup>1</sup>This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. National Library of Medicine; Natural Sciences and Engineering Research Council of Canada","keywords":"Ontology; Computer science; Process ontology; Database transaction; Ontology-based data integration; Data exchange; Data management; Ontology engineering; Software engineering; Database; Architecture; Domain knowledge","score_opus":0.0046778555337596865,"score_gpt":0.17672626095277869,"score_spread":0.172048405419019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107048933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014552846,0.024621412,0.8134945,0.022530982,0.005368815,0.00029390043,0.00061711995,0.0005563911,0.11796395],"genre_scores_gemma":[0.3334388,0.062385198,0.51294065,0.0061155367,0.0048701894,0.0006963166,0.0032807568,0.0008010306,0.07547155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976035,0.0008267362,0.0003294577,0.00027788454,0.0007679343,0.00019457442],"domain_scores_gemma":[0.9973596,0.0013998067,0.00023572388,0.00035845287,0.00046823843,0.00017819913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035777534,0.000394272,0.0006597642,0.0022687314,0.0027712754,0.006655186,0.0015259534,0.0025149612,0.0062235477],"category_scores_gemma":[0.0041804807,0.00048312824,0.0010013812,0.009553428,0.0034468754,0.01387086,0.002328005,0.004025184,0.001213655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018867306,0.000028029373,0.00053946814,0.0002923322,0.000014582971,0.00023507391,0.0010225557,0.002607113,0.00067161524,0.9188972,0.014940156,0.06073296],"study_design_scores_gemma":[0.0000060705593,0.000021576521,0.00074979634,0.0003749974,0.000029176554,0.00079844944,0.0016327995,0.015204053,0.0012191224,0.232534,0.7473952,0.000034652014],"about_ca_topic_score_codex":0.009198786,"about_ca_topic_score_gemma":0.0068363016,"teacher_disagreement_score":0.009198786,"about_ca_system_score_codex":0.0047488315,"about_ca_system_score_gemma":0.0050215763,"threshold_uncertainty_score":0.03445536},"labels":[],"label_agreement":null},{"id":"W2107498506","doi":"10.1109/ideas.2007.40","title":"Semantic Interoperability Between Relational Database Systems","year":2007,"lang":"en","type":"article","venue":"International Database Engineering and Applications Symposium","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Semantic interoperability; Ontology; Information retrieval; Relational database; Semantics (computer science); Semantic grid; Semantic computing; Set (abstract data type); Semantic technology; Semantic analytics; Semantic integration; Semantic data model; Semantic Web; Interoperability; Database; World Wide Web; Programming language","score_opus":0.017738344901147084,"score_gpt":0.25347855349192483,"score_spread":0.23574020859077774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107498506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009358665,0.0019876033,0.9687213,0.0024180016,0.00022606376,0.00043789993,0.00074123166,0.003718821,0.012390416],"genre_scores_gemma":[0.22456823,0.0040273,0.7567023,0.0019837872,0.00040236066,0.0007058068,0.004804746,0.0007309856,0.0060745147],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95532334,0.015794178,0.009601193,0.0041574803,0.013640718,0.001483125],"domain_scores_gemma":[0.9762975,0.008694215,0.0014077255,0.0098502105,0.0032356605,0.0005145881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029866459,0.0008998793,0.001801004,0.0050969115,0.001878017,0.012716247,0.004612461,0.0026415058,0.0026475417],"category_scores_gemma":[0.03788292,0.001447213,0.002684609,0.0061077024,0.003380381,0.022992153,0.009527686,0.0032456024,0.0015715153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016590841,0.00012577619,0.0015539487,0.0005020944,0.0002842862,0.00087623275,0.0023410616,0.012849203,0.004288332,0.8299153,0.0068930914,0.14020479],"study_design_scores_gemma":[0.00008540225,0.000070502734,0.0007413182,0.00037850067,0.00023599305,0.0005789624,0.00097620464,0.06347899,0.007023682,0.7664264,0.15989299,0.00011104317],"about_ca_topic_score_codex":0.0035940602,"about_ca_topic_score_gemma":0.0021125637,"teacher_disagreement_score":0.029866459,"about_ca_system_score_codex":0.002699815,"about_ca_system_score_gemma":0.0030463457,"threshold_uncertainty_score":0.15795082},"labels":[],"label_agreement":null},{"id":"W2108109297","doi":"10.1109/ccece.2004.1349620","title":"Towards a multi-domain semantic Web application","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Social Semantic Web; Semantic Web; Semantic Web Stack; Data Web; Semantic analytics; World Wide Web; Web standards; Web intelligence; Semantic grid; Web modeling; Domain (mathematical analysis); Semantic computing; Semantic technology; Collective intelligence; Web service","score_opus":0.01912633815383547,"score_gpt":0.262977750289596,"score_spread":0.24385141213576056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108109297","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009520174,0.00014970287,0.97278374,0.00170456,0.00014684098,0.00021910081,0.000060597904,0.0059299506,0.0094853025],"genre_scores_gemma":[0.08364414,0.00035979765,0.903898,0.00093225774,0.00009589504,0.0002076287,0.00044185232,0.0005732498,0.009847096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99713945,0.00083700864,0.00030888946,0.0004010223,0.0011155854,0.00019801341],"domain_scores_gemma":[0.9976972,0.0006182689,0.00009023985,0.00046683964,0.00073768315,0.0003898594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006997597,0.00070603273,0.00074071035,0.0016712649,0.0016029754,0.004705388,0.0024087708,0.003604896,0.0027471061],"category_scores_gemma":[0.005216779,0.0008329584,0.00123138,0.0015721987,0.0013010225,0.0077703684,0.0062176464,0.0047337576,0.0026217639],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045245566,0.001375635,0.00423467,0.0007928831,0.00022033376,0.0035624169,0.0044538197,0.035834633,0.060921263,0.47282887,0.04024638,0.37507662],"study_design_scores_gemma":[0.000077020115,0.00013512786,0.00070208084,0.00021740657,0.00009688008,0.0013639623,0.0010818391,0.48352012,0.028897844,0.16854726,0.31526327,0.0000972128],"about_ca_topic_score_codex":0.0014699019,"about_ca_topic_score_gemma":0.0017673714,"teacher_disagreement_score":0.006997597,"about_ca_system_score_codex":0.00077414216,"about_ca_system_score_gemma":0.0021224136,"threshold_uncertainty_score":0.037007272},"labels":[],"label_agreement":null},{"id":"W2109950226","doi":"10.1109/ccece.2004.1345217","title":"An intelligent project lifecycle data mart-based decision support system","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Data warehouse; Computer science; Decision support system; System lifecycle; Procurement; Process (computing); Architecture; Intelligent decision support system; Systems engineering; Data science; Knowledge management; Database; Data mining; Application lifecycle management; Engineering; Artificial intelligence","score_opus":0.07090338448081894,"score_gpt":0.3343002975079673,"score_spread":0.26339691302714835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109950226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06834357,0.0004878649,0.82884896,0.001697182,0.00021277455,0.00063938956,0.0034114846,0.077774756,0.018584017],"genre_scores_gemma":[0.45909488,0.00039977126,0.52593344,0.0006773432,0.0000851698,0.00035865608,0.0062607485,0.0004267251,0.0067632915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995523,0.00005320167,0.00007713392,0.00011355091,0.00016380237,0.000040031282],"domain_scores_gemma":[0.9992662,0.0001845593,0.0001062148,0.00013996134,0.00019967441,0.000103416685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011909175,0.00044404142,0.0006827267,0.0010984903,0.0005962407,0.0020688027,0.0012826114,0.00080434844,0.002910837],"category_scores_gemma":[0.0020230399,0.0003560881,0.00032032942,0.0009847254,0.00023378248,0.0020478824,0.00092939415,0.0007275829,0.0017032737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013693721,0.001102101,0.0076965424,0.00038912243,0.00021031617,0.00095605105,0.000566803,0.073165216,0.045330122,0.02274278,0.06900549,0.7774661],"study_design_scores_gemma":[0.00019731867,0.00015642229,0.0019846633,0.00005386563,0.00012781739,0.00028638434,0.00013533051,0.9020823,0.026042415,0.012469962,0.05638877,0.00007473761],"about_ca_topic_score_codex":0.0028112705,"about_ca_topic_score_gemma":0.0023679717,"teacher_disagreement_score":0.002910837,"about_ca_system_score_codex":0.00061609194,"about_ca_system_score_gemma":0.0011881653,"threshold_uncertainty_score":0.00973767},"labels":[],"label_agreement":null},{"id":"W2110079237","doi":"10.1109/software-evolvability.2006.1","title":"A Context-Driven Software Comprehension Process Model","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"","keywords":"Computer science; Comprehension; Program comprehension; Process (computing); Context (archaeology); Software engineering; Software development process; Ontology; Human–computer interaction; Software; Software development; Software system; Programming language","score_opus":0.0203837478442037,"score_gpt":0.24950683995636427,"score_spread":0.2291230921121606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110079237","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019660186,0.00034162277,0.9611084,0.0014511036,0.000047228852,0.000261819,0.0002998219,0.0007186258,0.016111184],"genre_scores_gemma":[0.6560116,0.0006688235,0.3314094,0.00027926164,0.00009189726,0.0008827873,0.0005784821,0.0001323689,0.009945461],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99757224,0.0009686885,0.00017058905,0.0004555555,0.00064422254,0.00018883818],"domain_scores_gemma":[0.99601716,0.0023664471,0.00032025005,0.00033879612,0.00074695004,0.00021041125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002342973,0.00078782433,0.0005264967,0.0016696723,0.00077552034,0.0031155504,0.0022922778,0.0027804489,0.005044921],"category_scores_gemma":[0.008028154,0.0005561509,0.0010852023,0.0011356333,0.0015441065,0.0054520667,0.0015389037,0.0016924291,0.0011743758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001405293,0.0002066193,0.0017153452,0.00023629,0.000065686676,0.0011006739,0.0029224148,0.18462351,0.0054412433,0.7558812,0.002292266,0.045374196],"study_design_scores_gemma":[0.00008591792,0.000083031446,0.0003678438,0.00005061626,0.000056302677,0.00028871308,0.00027113303,0.7284678,0.0016383359,0.25427544,0.014365493,0.000049298862],"about_ca_topic_score_codex":0.0056991186,"about_ca_topic_score_gemma":0.00296871,"teacher_disagreement_score":0.0056991186,"about_ca_system_score_codex":0.0016947105,"about_ca_system_score_gemma":0.0024472158,"threshold_uncertainty_score":0.016876876},"labels":[],"label_agreement":null},{"id":"W2110187075","doi":"10.21083/partnership.v1i1.142","title":"Experimental Interfaces Involving Visual Grouping During Browsing","year":2006,"lang":"en","type":"article","venue":"Partnership The Canadian Journal of Library and Information Practice and Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts; Andrew W. Mellon Foundation","keywords":"Computer science; World Wide Web; Interface (matter); Task (project management); Set (abstract data type); User interface; Human–computer interaction; Variety (cybernetics); Schema (genetic algorithms); Information retrieval; Multimedia; Artificial intelligence","score_opus":0.04251088319206203,"score_gpt":0.327367966328245,"score_spread":0.28485708313618296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110187075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.718693,0.0017058557,0.2240572,0.00073942385,0.0006676294,0.017163778,0.0014406561,0.006294226,0.029238163],"genre_scores_gemma":[0.60712475,0.0009564059,0.35198563,0.0009153859,0.00022984954,0.026598075,0.0016985218,0.001592362,0.008898986],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98779047,0.007053214,0.001367092,0.0014474734,0.0015898721,0.00075180345],"domain_scores_gemma":[0.9055658,0.0793811,0.0017899302,0.0088870535,0.003352006,0.0010241024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014244411,0.0021327964,0.0011669258,0.0015500785,0.0013488355,0.0049051195,0.004219369,0.0033259192,0.01789591],"category_scores_gemma":[0.08402812,0.001368433,0.0010202554,0.0015669984,0.00295975,0.0065485463,0.005498299,0.0032518804,0.001961473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.02074871,0.035078015,0.010946144,0.014156802,0.0006002321,0.0014875721,0.089077346,0.0138369,0.28146252,0.043288443,0.019535426,0.4697819],"study_design_scores_gemma":[0.021909947,0.0784304,0.052691177,0.0037111,0.0017350683,0.0045116534,0.032901533,0.0988269,0.39666793,0.08893136,0.21796793,0.0017150373],"about_ca_topic_score_codex":0.00079817226,"about_ca_topic_score_gemma":0.0004619298,"teacher_disagreement_score":0.01789591,"about_ca_system_score_codex":0.0010270821,"about_ca_system_score_gemma":0.0009142578,"threshold_uncertainty_score":0.07533252},"labels":[],"label_agreement":null},{"id":"W2110735271","doi":"10.1111/j.1468-0394.2010.00511.x","title":"Identification and resolution of conflicts during ontological integration using rules","year":2010,"lang":"en","type":"article","venue":"Expert Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Semantic Web Rule Language; Interoperability; Ontology; Web Ontology Language; Information retrieval; Semantic Web; Identifier; Identification (biology); Semantic interoperability; Description logic; Natural language processing; World Wide Web; Programming language; Semantic Web Stack; Semantic analytics","score_opus":0.038793333575504636,"score_gpt":0.2897132375482459,"score_spread":0.2509199039727413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110735271","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054324508,0.00024340414,0.93522173,0.00060893036,0.00007975851,0.00062744104,0.00013094653,0.0016416061,0.0071215723],"genre_scores_gemma":[0.26105946,0.00023016174,0.7348174,0.00022776313,0.00003933253,0.00034696722,0.0005571633,0.00023836248,0.0024832424],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97424114,0.010868557,0.003704805,0.0019870554,0.008069138,0.0011291595],"domain_scores_gemma":[0.96833134,0.019737149,0.0027244252,0.0046739774,0.004041994,0.0004910126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020840675,0.0008259345,0.001120832,0.0030234996,0.0021009643,0.0064804326,0.0026297173,0.0018951658,0.0015615387],"category_scores_gemma":[0.044783913,0.00092563446,0.0018532578,0.0022014838,0.0028313932,0.006727194,0.0049798596,0.0025138513,0.00073118036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008440015,0.0009691698,0.01802415,0.000973285,0.0007047207,0.0054254453,0.016602162,0.06780712,0.03443272,0.26734078,0.007840919,0.5790355],"study_design_scores_gemma":[0.00017191257,0.00025704855,0.003694171,0.000901151,0.0009277602,0.0020352993,0.0044590626,0.5711099,0.12127248,0.22100112,0.073894404,0.00027578545],"about_ca_topic_score_codex":0.0045480886,"about_ca_topic_score_gemma":0.0027644958,"teacher_disagreement_score":0.020840675,"about_ca_system_score_codex":0.0011247274,"about_ca_system_score_gemma":0.003262031,"threshold_uncertainty_score":0.11021733},"labels":[],"label_agreement":null},{"id":"W2111273236","doi":"","title":"An architecture and formalism for handling modular ontologies","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Formalism (music); Modular design; Computer science; Axiom; Architecture; Ontology; Software engineering; Theoretical computer science; Programming language; Mathematics; Epistemology","score_opus":0.029466782232121097,"score_gpt":0.2569259613198855,"score_spread":0.2274591790877644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111273236","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014555451,0.00027162617,0.9926444,0.000781925,0.00007221523,0.000115443756,0.00006469727,0.000683858,0.0039101765],"genre_scores_gemma":[0.026697654,0.00070733036,0.9685508,0.00022560854,0.000079725374,0.0002080073,0.00025158568,0.00015436976,0.003124846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99599814,0.0011150197,0.00065713614,0.0006466034,0.001290654,0.00029244064],"domain_scores_gemma":[0.9968304,0.000699383,0.00034595365,0.0012241638,0.0006008669,0.0002992629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008354064,0.000725688,0.0008573895,0.0028839672,0.0028579757,0.006371176,0.003767489,0.002640574,0.0029646014],"category_scores_gemma":[0.008120007,0.0015801851,0.0033493824,0.0032321003,0.0050052376,0.013918594,0.0071926503,0.005292659,0.0014617007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008736954,0.000022600423,0.00018205166,0.000096977325,0.000028059458,0.00015896009,0.0006465494,0.0041395486,0.0013371875,0.97174543,0.001994042,0.019639915],"study_design_scores_gemma":[0.000023073708,0.000027063637,0.00020960812,0.00022173618,0.0000699256,0.00042644193,0.00022394015,0.03691569,0.0018473108,0.8235519,0.1364326,0.00005072942],"about_ca_topic_score_codex":0.005588531,"about_ca_topic_score_gemma":0.006905987,"teacher_disagreement_score":0.008354064,"about_ca_system_score_codex":0.0030517231,"about_ca_system_score_gemma":0.0043558488,"threshold_uncertainty_score":0.04418105},"labels":[],"label_agreement":null},{"id":"W2111456447","doi":"10.1109/dexa.2002.1045894","title":"Defining basic units for knowledge interchange","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Moncton","funders":"","keywords":"Computer science; Domain knowledge; Open Knowledge Base Connectivity; Scope (computer science); Knowledge management; Construct (python library); Ontology; Domain (mathematical analysis); Context (archaeology); Knowledge engineering; Knowledge integration; Procedural knowledge; Knowledge extraction; Knowledge-based systems; Knowledge value chain; Personal knowledge management; Organizational learning; Artificial intelligence; Programming language","score_opus":0.07010671278022489,"score_gpt":0.2924109254109116,"score_spread":0.22230421263068673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111456447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023463579,0.0008901942,0.9150857,0.0008108882,0.00015163876,0.0008625689,0.0003556509,0.0010888823,0.057290945],"genre_scores_gemma":[0.16380446,0.00074880826,0.82433915,0.00021689481,0.000095257274,0.0020952865,0.0009970656,0.00055530365,0.00714785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9916284,0.0030253741,0.0018584415,0.0011488206,0.0016548595,0.000684196],"domain_scores_gemma":[0.9895315,0.0050000786,0.0010938485,0.002345569,0.0014224981,0.00060651475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072218324,0.0009890995,0.0009403528,0.0053855763,0.0035403566,0.0102914525,0.0026828516,0.0034192593,0.008751794],"category_scores_gemma":[0.017721992,0.0013626906,0.0016780325,0.0050565116,0.007765954,0.01913866,0.0070394054,0.0035358712,0.0037682785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041081115,0.000040105067,0.00066845474,0.00026968349,0.000023699138,0.00033352096,0.0038919644,0.0010759867,0.0019104858,0.9612966,0.0009922792,0.029456124],"study_design_scores_gemma":[0.000056020253,0.00010746737,0.0009707576,0.00071434,0.00007656857,0.0008144679,0.0037401887,0.011457443,0.009119838,0.82634825,0.14651482,0.00007994786],"about_ca_topic_score_codex":0.0015760402,"about_ca_topic_score_gemma":0.0009753519,"teacher_disagreement_score":0.0102914525,"about_ca_system_score_codex":0.001922114,"about_ca_system_score_gemma":0.0022830584,"threshold_uncertainty_score":0.038193166},"labels":[],"label_agreement":null},{"id":"W2111547162","doi":"","title":"York University at TREC 2009: Chemical Track","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Task (project management); Terminology; Information retrieval; Focus (optics); Selection (genetic algorithm); Track (disk drive); Artificial intelligence; Natural language processing; Data mining; Machine learning","score_opus":0.017166293706108494,"score_gpt":0.20794853894822107,"score_spread":0.19078224524211257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111547162","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060577992,0.014797701,0.033218414,0.025862684,0.009956068,0.004685235,0.60687226,0.046808667,0.19722094],"genre_scores_gemma":[0.042809468,0.0030036054,0.04126708,0.0025925275,0.0007608639,0.0016877912,0.7938864,0.0017586282,0.11223366],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950329,0.00096573815,0.0003721268,0.00084127893,0.002390112,0.00039780853],"domain_scores_gemma":[0.9861145,0.0029399937,0.0005132815,0.0021604681,0.0068135853,0.0014582076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010033638,0.0031811316,0.0031038548,0.005151589,0.0043358803,0.0049529537,0.0037101281,0.003013674,0.056849323],"category_scores_gemma":[0.014313814,0.000934569,0.001269307,0.0055207154,0.001136831,0.00665686,0.0020417871,0.0039065764,0.033405874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019085455,0.00026889073,0.00044892056,0.00031147193,0.000056809764,0.000026399475,0.000028147424,0.0012534125,0.0018743165,0.0008645211,0.9659384,0.028737923],"study_design_scores_gemma":[0.0014278442,0.0008302245,0.014987408,0.0002632874,0.0002993886,0.00024911345,0.0003814697,0.055676483,0.022109283,0.006547473,0.8968889,0.00033913995],"about_ca_topic_score_codex":0.1813357,"about_ca_topic_score_gemma":0.23632169,"teacher_disagreement_score":0.1813357,"about_ca_system_score_codex":0.008088185,"about_ca_system_score_gemma":0.009219875,"threshold_uncertainty_score":0.36056042},"labels":[],"label_agreement":null},{"id":"W2111895662","doi":"10.1109/enabl.2001.953427","title":"Intelligent agent in electronic commerce-XMLFinder","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Intelligent agent; XML; Key (lock); Recommender system; The Internet; Agent architecture; Architecture; Case-based reasoning; Term (time); World Wide Web; E-commerce; Computer security; Artificial intelligence","score_opus":0.04642892065454889,"score_gpt":0.25877576608129343,"score_spread":0.21234684542674453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111895662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028832674,0.011764482,0.92699206,0.005626873,0.0010711744,0.0003099837,0.0002445046,0.0032484601,0.047859047],"genre_scores_gemma":[0.056310378,0.008693152,0.8940367,0.0019521408,0.0007154315,0.00034377968,0.000779845,0.00052505825,0.036643613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972645,0.001186575,0.00025351057,0.00027980865,0.000906396,0.0001092515],"domain_scores_gemma":[0.9981805,0.00096624135,0.00012512346,0.0003452624,0.000283823,0.000099068064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030696606,0.00061974826,0.00082923006,0.0022276985,0.0011268636,0.0050437823,0.0021813086,0.0043671234,0.0061656684],"category_scores_gemma":[0.0053262175,0.0006732572,0.0007965994,0.003022064,0.002452937,0.009255001,0.0020113182,0.0032674477,0.0036204346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064231404,0.0001169825,0.0005210596,0.00036121413,0.000038690658,0.0005052586,0.0004572831,0.009720886,0.0020116603,0.7903289,0.021867942,0.17400584],"study_design_scores_gemma":[0.00007211691,0.000059694605,0.000369269,0.00035364155,0.00006269864,0.0014898069,0.00019803035,0.084113576,0.007054764,0.44685638,0.4592944,0.00007566816],"about_ca_topic_score_codex":0.0021103744,"about_ca_topic_score_gemma":0.0018480504,"teacher_disagreement_score":0.0061656684,"about_ca_system_score_codex":0.0012058062,"about_ca_system_score_gemma":0.0010941171,"threshold_uncertainty_score":0.020626187},"labels":[],"label_agreement":null},{"id":"W2112222293","doi":"","title":"Reasoning about large taxonomies of actions","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Axiom; Computer science; Theoretical computer science; Representation (politics); Set (abstract data type); Modular design; Domain (mathematical analysis); Operator (biology); Projection (relational algebra); Artificial intelligence; Mathematics; Algorithm; Programming language","score_opus":0.04824314607958193,"score_gpt":0.2657352916761422,"score_spread":0.21749214559656024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112222293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0095632095,0.00013622492,0.9842815,0.0005373745,0.000045207966,0.00018958321,0.0005088264,0.001296856,0.0034411782],"genre_scores_gemma":[0.091175064,0.00024322834,0.9042544,0.00018794136,0.000045870627,0.000292794,0.0014723163,0.00017337316,0.0021551426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99511695,0.0013729495,0.0007487151,0.0009300056,0.0014730975,0.00035836146],"domain_scores_gemma":[0.9922024,0.0041907583,0.0007496971,0.00175769,0.0007797746,0.00031971608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006099001,0.0011071676,0.0011006109,0.0045010094,0.002621608,0.0041555474,0.0030635959,0.002206006,0.0053982497],"category_scores_gemma":[0.011576218,0.0013216636,0.004147118,0.0027969144,0.0032222192,0.014561276,0.00446197,0.0043619596,0.000926568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052670963,0.00009462663,0.001624182,0.00026680474,0.00008106243,0.00041856157,0.0016560763,0.03169231,0.0027890843,0.90771174,0.0024296625,0.05118337],"study_design_scores_gemma":[0.00003384652,0.000049940307,0.00044623011,0.00018180629,0.00011842225,0.00025952823,0.0007455437,0.13206957,0.0045914906,0.812937,0.048507523,0.00005903923],"about_ca_topic_score_codex":0.010080085,"about_ca_topic_score_gemma":0.02008568,"teacher_disagreement_score":0.010080085,"about_ca_system_score_codex":0.0027222692,"about_ca_system_score_gemma":0.0031329736,"threshold_uncertainty_score":0.032254994},"labels":[],"label_agreement":null},{"id":"W2112327920","doi":"10.2991/eusflat.2013.121","title":"Fuzziness and Semantic Web Technologies in Personalized eLearning","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Personalization; Computer science; Ontology; Semantic Web; Component (thermodynamics); Point (geometry); World Wide Web; Architecture; Selection (genetic algorithm); Human–computer interaction; Artificial intelligence","score_opus":0.011642839953443243,"score_gpt":0.22539577346610937,"score_spread":0.2137529335126661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112327920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07203191,0.08678412,0.646575,0.05442234,0.0014396827,0.00015278213,0.00018703286,0.0005156043,0.13789153],"genre_scores_gemma":[0.8294697,0.025373338,0.12605047,0.0028211363,0.0013976971,0.00022069796,0.00012510254,0.000085994434,0.014455918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99754554,0.0009918825,0.0001731137,0.0003018811,0.00083691534,0.00015054256],"domain_scores_gemma":[0.99661237,0.0025316342,0.00016095239,0.00034891965,0.00024915504,0.00009700169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041585695,0.00043318383,0.000570273,0.0027811576,0.0013791485,0.0063949465,0.00086366094,0.0029583909,0.0018215161],"category_scores_gemma":[0.0061763255,0.00052054925,0.00076102844,0.0022159172,0.012203665,0.015335337,0.0022885632,0.003101868,0.00036314756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016198019,0.000016219783,0.00028563922,0.00007036113,0.000010699155,0.00014554395,0.00073553465,0.001871966,0.00038238286,0.98009825,0.00065925915,0.015707845],"study_design_scores_gemma":[0.000005560192,0.000009340049,0.0001890954,0.00009146367,0.000007752977,0.00013882213,0.00019593662,0.004691044,0.00038684544,0.9843843,0.009884292,0.000015519972],"about_ca_topic_score_codex":0.001938538,"about_ca_topic_score_gemma":0.0011367563,"teacher_disagreement_score":0.0063949465,"about_ca_system_score_codex":0.0022000389,"about_ca_system_score_gemma":0.0012429185,"threshold_uncertainty_score":0.021992862},"labels":[],"label_agreement":null},{"id":"W2113948326","doi":"10.1109/icdew.2010.5452757","title":"Coordination of data in heterogenous domains","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Formalism (music); Data science; Data integration; Domain (mathematical analysis); Data modeling; Theoretical computer science; Data mining; Software engineering; Mathematics","score_opus":0.03724300995808141,"score_gpt":0.2958491512740574,"score_spread":0.25860614131597603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113948326","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04404842,0.0012962692,0.92674804,0.0029015623,0.00020789936,0.00027400898,0.00025727903,0.0009917155,0.023274826],"genre_scores_gemma":[0.49238834,0.0018406879,0.49465233,0.0009614435,0.00017826384,0.0005250973,0.001315688,0.00035716544,0.007780955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.985187,0.0074443184,0.0013601847,0.002359297,0.0028998668,0.00074923725],"domain_scores_gemma":[0.98454237,0.0054835537,0.0013761155,0.0063960506,0.001488927,0.00071297627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015410965,0.00058142876,0.0012207063,0.0034555015,0.0031354646,0.009668901,0.0038522552,0.0018084301,0.0024707185],"category_scores_gemma":[0.021118823,0.00092341326,0.00089796586,0.006021381,0.0047848336,0.0137181645,0.011600609,0.0021133209,0.0007976738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020126869,0.000107772474,0.0046750405,0.0004066325,0.00021764699,0.0013235076,0.004986596,0.033064265,0.0031538338,0.82683593,0.0062909042,0.11873651],"study_design_scores_gemma":[0.00007824118,0.000049450824,0.001983528,0.00032495253,0.00013890733,0.00075673254,0.0048132897,0.08968904,0.0055017457,0.78201216,0.11456864,0.000083334344],"about_ca_topic_score_codex":0.00336142,"about_ca_topic_score_gemma":0.00379687,"teacher_disagreement_score":0.015410965,"about_ca_system_score_codex":0.0019242824,"about_ca_system_score_gemma":0.003124067,"threshold_uncertainty_score":0.0815019},"labels":[],"label_agreement":null},{"id":"W2114175725","doi":"10.1109/tkde.2009.49","title":"Enhancing Learning Objects with an Ontology-Based Memory","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Knowledge and Data Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Reusability; Learning object; Ontology; Semantic Web; Process (computing); Knowledge base; Artificial intelligence; Natural language processing; World Wide Web; Programming language","score_opus":0.01977965045427822,"score_gpt":0.2566786341254655,"score_spread":0.23689898367118728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114175725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086482316,0.000659201,0.8813296,0.0018248626,0.00019127378,0.00025078646,0.00019245158,0.0037250188,0.025344498],"genre_scores_gemma":[0.3993351,0.0007762984,0.5864334,0.00040330982,0.00007622405,0.00023372375,0.00048029522,0.0002413111,0.012020346],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941695,0.000093522794,0.000087154054,0.00010699826,0.00021496965,0.00008044052],"domain_scores_gemma":[0.9985123,0.0003040167,0.00015977558,0.0006459436,0.00024416667,0.00013380722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010978987,0.0003121765,0.00038605975,0.0009362364,0.0007836079,0.0029783922,0.001763621,0.00081443804,0.00201338],"category_scores_gemma":[0.0034090378,0.00034039898,0.0006977285,0.0009684542,0.0011125766,0.008829594,0.0038422574,0.0010946231,0.0008101422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021861044,0.0007561985,0.004561213,0.000505617,0.0001273068,0.00058804016,0.0037421961,0.018882334,0.035722695,0.28063926,0.008167138,0.6460894],"study_design_scores_gemma":[0.00017587513,0.0005053799,0.0035978458,0.00033392775,0.00060411636,0.0015807702,0.002884198,0.24540368,0.089201435,0.31558427,0.33993107,0.00019751686],"about_ca_topic_score_codex":0.0032230818,"about_ca_topic_score_gemma":0.0039014586,"teacher_disagreement_score":0.0032230818,"about_ca_system_score_codex":0.00063602027,"about_ca_system_score_gemma":0.0013716624,"threshold_uncertainty_score":0.006735444},"labels":[],"label_agreement":null},{"id":"W2114433535","doi":"10.1109/icsmc.2009.5346661","title":"Ontological view based semantic transformation for distributed systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Computer science; Predicate (mathematical logic); Ontology; Transformation (genetics); Semantic integration; Domain (mathematical analysis); Information retrieval; Theoretical computer science; Semantic computing; Semantic Web; Mathematics; Epistemology; Programming language","score_opus":0.032380643257876686,"score_gpt":0.27075241975442654,"score_spread":0.23837177649654986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114433535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000922786,0.000081803526,0.9934411,0.0002451604,0.000059039434,0.000034722496,0.000027646063,0.00026547143,0.004922239],"genre_scores_gemma":[0.1551434,0.00055627135,0.8349808,0.00031368696,0.00014474138,0.00033052557,0.0004086492,0.00035729053,0.007764687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976373,0.0007211678,0.00016012254,0.0002951684,0.0010704309,0.00011579549],"domain_scores_gemma":[0.99914396,0.000278273,0.000043588872,0.00032176933,0.00016767316,0.000044661723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020252909,0.00047555566,0.00054212706,0.0011242015,0.001103581,0.0024641952,0.0014565443,0.0009605762,0.003187111],"category_scores_gemma":[0.002723173,0.0003482047,0.0016470028,0.0011705635,0.002194499,0.005605801,0.0038834566,0.0028065958,0.0010116893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000144024725,0.000026700076,0.000057412322,0.000050102142,0.000018259985,0.00010208835,0.00027446973,0.00790726,0.0017744746,0.94338727,0.001865497,0.04452214],"study_design_scores_gemma":[0.000022713055,0.000017112436,0.00006357435,0.000033551525,0.000024995468,0.00012977232,0.00015149728,0.12579092,0.0043595117,0.80780923,0.061575126,0.00002187591],"about_ca_topic_score_codex":0.0017567337,"about_ca_topic_score_gemma":0.0015609158,"teacher_disagreement_score":0.003187111,"about_ca_system_score_codex":0.0015204194,"about_ca_system_score_gemma":0.0014346276,"threshold_uncertainty_score":0.011031508},"labels":[],"label_agreement":null},{"id":"W2115072326","doi":"10.1109/cse.2009.144","title":"Optimization of Distributed SPARQL Queries Using Edmonds' Algorithm and Prim's Algorithm","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"SPARQL; Computer science; Query plan; Named graph; Algorithm; Query optimization; Graph; RDF; Query language; Information retrieval; Sargable; Theoretical computer science; Web search query; Semantic Web; Search engine","score_opus":0.015754329633719127,"score_gpt":0.24825081305518462,"score_spread":0.2324964834214655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115072326","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008941815,0.00014416048,0.9861777,0.00017909247,0.000025473979,0.00008661271,0.00009864314,0.001143029,0.0032034945],"genre_scores_gemma":[0.11478179,0.00015780459,0.8817485,0.00009761088,0.000019196339,0.00017760223,0.0003437819,0.00034313873,0.002330501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986474,0.00038473733,0.000104191655,0.00025856984,0.00047427733,0.00013082229],"domain_scores_gemma":[0.99870956,0.0006831595,0.00008225985,0.00027093987,0.00020027184,0.000053813164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002133971,0.0009312273,0.0011112563,0.00093820225,0.00079324254,0.0017611193,0.0016840878,0.00083731936,0.0041304575],"category_scores_gemma":[0.0042052,0.00054961775,0.0007980243,0.001540801,0.00078895123,0.002363712,0.0018742335,0.0009829248,0.0007022645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003485572,0.00021741798,0.0015402504,0.00016307781,0.00008534954,0.00018705058,0.00017961154,0.6252852,0.0039670444,0.11173638,0.009539312,0.24675074],"study_design_scores_gemma":[0.00004792321,0.00002708276,0.000078995145,0.0000074028712,0.00000838461,0.000031011296,0.000035268855,0.9655595,0.0021014104,0.029176177,0.0029196683,0.0000071992426],"about_ca_topic_score_codex":0.0050710654,"about_ca_topic_score_gemma":0.00637078,"teacher_disagreement_score":0.0050710654,"about_ca_system_score_codex":0.0013272403,"about_ca_system_score_gemma":0.0016178294,"threshold_uncertainty_score":0.013817728},"labels":[],"label_agreement":null},{"id":"W2117145212","doi":"10.1109/aict-iciw.2006.159","title":"RDB2ONT: A Tool for Generating OWL Ontologies From Relational Database Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Web Ontology Language; Relational database; Ontology; OWL-S; Information retrieval; Relational model; Database; World Wide Web; Semantic Web; Semantic Web Stack","score_opus":0.03980575094371924,"score_gpt":0.2521184379512902,"score_spread":0.21231268700757094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117145212","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016268002,0.00012644503,0.90240043,0.0002215405,0.00010620226,0.00046591714,0.004371566,0.083969995,0.0067110346],"genre_scores_gemma":[0.017181125,0.0003130741,0.9418262,0.00027589116,0.000025091407,0.0007650955,0.020572059,0.014459048,0.0045824093],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997512,0.00044423091,0.00029367107,0.00029997202,0.0013181649,0.00013194232],"domain_scores_gemma":[0.9974274,0.0013115879,0.00021430165,0.00061500334,0.0003251818,0.000106561245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039310246,0.0012835487,0.00089141895,0.003515156,0.0013120977,0.0036498846,0.0035078595,0.0013832445,0.02145586],"category_scores_gemma":[0.00938213,0.002075485,0.0025203498,0.002190732,0.0009469548,0.005097141,0.0040453696,0.0031960434,0.007931388],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045392106,0.00054098817,0.0025615925,0.0030229418,0.00043876245,0.0022171864,0.002121651,0.026789399,0.02049863,0.16992073,0.2441933,0.5272409],"study_design_scores_gemma":[0.00030154793,0.00007869626,0.00094346935,0.00040838006,0.00008430711,0.0012613444,0.00039255383,0.1948537,0.02508096,0.079190664,0.69722503,0.0001793562],"about_ca_topic_score_codex":0.005302501,"about_ca_topic_score_gemma":0.009453451,"teacher_disagreement_score":0.02145586,"about_ca_system_score_codex":0.0016347218,"about_ca_system_score_gemma":0.0021515142,"threshold_uncertainty_score":0.071776986},"labels":[],"label_agreement":null},{"id":"W2117904965","doi":"10.1145/1242572.1242787","title":"Ontology engineering using volunteer labor","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC; Genome Canada","keywords":"Correctness; Ontology; Computer science; Voting; Domain (mathematical analysis); Aggregate (composite); Ontology engineering; Protégé; Artificial intelligence; Knowledge management; Domain knowledge; Process ontology; Semantic Web; Algorithm","score_opus":0.017679636066706608,"score_gpt":0.2573621271525236,"score_spread":0.239682491085817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117904965","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08346496,0.00020763525,0.8898199,0.0018016428,0.00017702322,0.0011130128,0.00009659639,0.0014366306,0.021882553],"genre_scores_gemma":[0.6059018,0.00021961523,0.3718605,0.0007587199,0.00013447466,0.0017413328,0.00042374275,0.00031331988,0.018646518],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9892396,0.006357651,0.00042217548,0.0016457138,0.001712897,0.0006220474],"domain_scores_gemma":[0.97017676,0.011295665,0.0018344284,0.010833087,0.00403379,0.0018263533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014198432,0.000840653,0.0006936986,0.0014359929,0.0020367836,0.002370871,0.0023503343,0.0011494216,0.009498257],"category_scores_gemma":[0.03393965,0.00048790057,0.00071326323,0.0009852288,0.0018103031,0.0044892495,0.005813091,0.0015196176,0.00315502],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011749897,0.0022777705,0.016062004,0.0005824553,0.0001272172,0.0006426205,0.011943642,0.017850988,0.023602098,0.1043053,0.014847722,0.80658317],"study_design_scores_gemma":[0.00059036503,0.002725363,0.00820521,0.00037597402,0.00017835623,0.0015538005,0.009151966,0.29780263,0.035967804,0.34758723,0.2956231,0.0002383003],"about_ca_topic_score_codex":0.0019749976,"about_ca_topic_score_gemma":0.0031344453,"teacher_disagreement_score":0.014198432,"about_ca_system_score_codex":0.001035364,"about_ca_system_score_gemma":0.0032291382,"threshold_uncertainty_score":0.075089395},"labels":[],"label_agreement":null},{"id":"W2118211215","doi":"","title":"The use of the Dublin Core in web annotation programs","year":2002,"lang":"en","type":"article","venue":"International Conference on Dublin Core and Metadata Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Annotation; Computer science; World Wide Web; Core (optical fiber); Task (project management); Server; Process (computing); Set (abstract data type); Situated; Scheme (mathematics); Web application; Information retrieval; Artificial intelligence; Engineering; Programming language; Telecommunications","score_opus":0.3485874517950895,"score_gpt":0.34178665736946423,"score_spread":0.006800794425625256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118211215","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004914614,0.0003815764,0.9633367,0.0036727742,0.00034679932,0.00023335622,0.00012213735,0.0019850512,0.025007015],"genre_scores_gemma":[0.13805978,0.0011922001,0.8425571,0.0019483602,0.00050602155,0.0010947874,0.0005695056,0.003110927,0.010961361],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9438211,0.036931276,0.004058218,0.0040390403,0.009842041,0.0013084107],"domain_scores_gemma":[0.8952144,0.06391236,0.00434704,0.022812875,0.011783861,0.0019294858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.066732764,0.0008111043,0.00088962424,0.005686446,0.006155033,0.012379201,0.0027626494,0.0025166257,0.0035038698],"category_scores_gemma":[0.09468863,0.0017361805,0.0011120621,0.0058370656,0.015191795,0.036907166,0.015232777,0.006360083,0.0018140294],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008225788,0.000026645286,0.00044838307,0.00018792167,0.000012299963,0.00009675048,0.0033531394,0.0016110671,0.0008691921,0.9254556,0.0049180766,0.06293855],"study_design_scores_gemma":[0.00006217603,0.00006881543,0.00034610726,0.00069707463,0.000053568576,0.00045524648,0.0016237354,0.019668825,0.0075476295,0.5784682,0.39087045,0.0001381293],"about_ca_topic_score_codex":0.00881033,"about_ca_topic_score_gemma":0.005970893,"teacher_disagreement_score":0.066732764,"about_ca_system_score_codex":0.006144218,"about_ca_system_score_gemma":0.010773885,"threshold_uncertainty_score":0.35292083},"labels":[],"label_agreement":null},{"id":"W2120066393","doi":"10.1007/11549345_44","title":"Basic Mereology with Equivalence Relations","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mereology; Axiom; Computer science; Equivalence (formal languages); Equivalence relation; Theoretical computer science; Algebra over a field; Software; Algorithm; Artificial intelligence; Calculus (dental); Programming language; Discrete mathematics; Mathematics; Pure mathematics; Epistemology; Philosophy; Geometry","score_opus":0.020036968508959887,"score_gpt":0.24483930487263741,"score_spread":0.22480233636367752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120066393","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025897656,0.012924642,0.27970007,0.0049240207,0.0023395196,0.00015398757,0.00084402657,0.00074230507,0.6724738],"genre_scores_gemma":[0.66224897,0.013055136,0.15983588,0.002531463,0.0069174254,0.00053522916,0.0024030455,0.0007455197,0.15172742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998939,0.000287832,0.000112290785,0.00023682285,0.00031766712,0.000106337495],"domain_scores_gemma":[0.9992188,0.00038497933,0.00004403278,0.00016552204,0.00013478876,0.00005169383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012671744,0.0008872557,0.0011321903,0.002908633,0.0023576366,0.0036230038,0.0013269319,0.0018400458,0.013986762],"category_scores_gemma":[0.0018501036,0.0009742058,0.0013595244,0.0032819612,0.006161244,0.015196483,0.0028253626,0.0044155396,0.0035837356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047333087,0.0000080991385,0.000014616955,0.000042075902,0.0000037582608,0.000028523025,0.00011574002,0.00004730355,0.00018302981,0.99339783,0.0014730791,0.0046812412],"study_design_scores_gemma":[0.0000038505923,0.0000035471355,0.000046784946,0.000011089266,0.0000041977146,0.00008303247,0.000017676677,0.00014733637,0.0000991492,0.984992,0.014586614,0.0000046508],"about_ca_topic_score_codex":0.00038121393,"about_ca_topic_score_gemma":0.00040330004,"teacher_disagreement_score":0.013986762,"about_ca_system_score_codex":0.0011168917,"about_ca_system_score_gemma":0.00058421126,"threshold_uncertainty_score":0.04679042},"labels":[],"label_agreement":null},{"id":"W2120926299","doi":"10.1145/1774088.1774388","title":"A framework for handling revisions in distributed ontologies","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of New Brunswick","funders":"","keywords":"Ontology; Computer science; Context (archaeology); Representation (politics); Operator (biology); Knowledge representation and reasoning; Description logic; Process ontology; Ontology components; Information retrieval; Knowledge base; Modular design; Upper ontology; Theoretical computer science; Ontology alignment; Semantic Web; Artificial intelligence; Programming language","score_opus":0.037362354725663814,"score_gpt":0.32455739225354524,"score_spread":0.28719503752788145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120926299","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00114431,0.00007708419,0.99656713,0.00019426276,0.000047907273,0.000121035315,0.000029034958,0.00070238544,0.0011169246],"genre_scores_gemma":[0.051802155,0.00016727218,0.94489247,0.00010630347,0.00008511791,0.0002280684,0.00012220666,0.0001343948,0.0024620045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99353206,0.00189363,0.0008942601,0.0010781853,0.0022271597,0.00037480894],"domain_scores_gemma":[0.9931351,0.002376628,0.0006548973,0.0020584879,0.0013416479,0.00043329643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01144018,0.00074008974,0.0010216472,0.0026194917,0.0028938542,0.0054388572,0.0038788898,0.0023829534,0.003212162],"category_scores_gemma":[0.014394743,0.00090657215,0.0024681827,0.0024073264,0.004108864,0.008955577,0.004734481,0.00367803,0.0010703829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007280713,0.00007502864,0.00046680204,0.00017788645,0.00006874806,0.0004935213,0.0013335092,0.027276237,0.0031657044,0.85440946,0.003915117,0.10854521],"study_design_scores_gemma":[0.00009258622,0.00010720398,0.00022954274,0.00016007628,0.00012346072,0.000701282,0.0004178891,0.25030583,0.006059013,0.645186,0.09650083,0.00011620846],"about_ca_topic_score_codex":0.006438029,"about_ca_topic_score_gemma":0.0054198396,"teacher_disagreement_score":0.01144018,"about_ca_system_score_codex":0.0021055578,"about_ca_system_score_gemma":0.0033600752,"threshold_uncertainty_score":0.060502112},"labels":[],"label_agreement":null},{"id":"W2120927097","doi":"10.1109/ccece.2011.6030595","title":"A semi-automated approach to transforming database schemas into ontology language","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Database schema; Ontology; Schema (genetic algorithms); Information retrieval; Schema migration; Database design; Semi-structured model; Database model; Conceptual schema; Data modeling; Database; Data mining","score_opus":0.039904824339941886,"score_gpt":0.27361236390057386,"score_spread":0.23370753956063198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120927097","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021006346,0.000049592236,0.9930294,0.00011484086,0.000021751946,0.00019192758,0.00013679426,0.0036316244,0.00072347076],"genre_scores_gemma":[0.026894411,0.000084412604,0.970959,0.00009972887,0.000011486382,0.00018608436,0.0007793856,0.00033471908,0.0006507718],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9920089,0.00312333,0.0008754258,0.0010088598,0.0027469096,0.0002365861],"domain_scores_gemma":[0.9816528,0.007898463,0.0009703011,0.006150675,0.0031593882,0.00016837372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006123304,0.00082915416,0.0009365973,0.0025617713,0.0012045893,0.004272083,0.0030779438,0.0011231509,0.003115869],"category_scores_gemma":[0.01821347,0.001022984,0.0019586745,0.0026752634,0.0016314635,0.0043961895,0.0037423186,0.0027138493,0.0017828386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000276012,0.0006510893,0.002217201,0.00079349324,0.00044949583,0.0005859759,0.0025808464,0.04976035,0.053350326,0.11507345,0.013456631,0.7608051],"study_design_scores_gemma":[0.0001801648,0.00026001417,0.0015903674,0.0002733817,0.00017808688,0.0013785255,0.0014020996,0.5946699,0.11148044,0.16796099,0.12037704,0.00024905198],"about_ca_topic_score_codex":0.0036893426,"about_ca_topic_score_gemma":0.0040939874,"teacher_disagreement_score":0.006123304,"about_ca_system_score_codex":0.0011254809,"about_ca_system_score_gemma":0.0034074087,"threshold_uncertainty_score":0.0323835},"labels":[],"label_agreement":null},{"id":"W2120961739","doi":"10.7152/nasko.v1i1.12831","title":"Everything old is new again: Finding a place for knowledge structures in a satisficing world","year":2011,"lang":"en","type":"article","venue":"NASKO","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ephemera; World Wide Web; Metadata; Semantic Web; Computer science; RDF; Satisficing; Knowledge management; Data science; Political science","score_opus":0.08496444683929273,"score_gpt":0.2958809672448363,"score_spread":0.2109165204055436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120961739","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1194402,0.0031635114,0.19476834,0.17454709,0.000889666,0.00025867458,0.0001391405,0.00067508616,0.50611824],"genre_scores_gemma":[0.8949826,0.0011225429,0.07844823,0.0032747309,0.00013730793,0.0001410053,0.00017835178,0.00031326618,0.021402061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99346054,0.0042016227,0.0002604735,0.0006043026,0.0009795022,0.00049353763],"domain_scores_gemma":[0.987364,0.0062461514,0.0011177633,0.0025562164,0.0014780354,0.0012379031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0116744805,0.00034366627,0.00047952618,0.004249705,0.014888427,0.027674574,0.0023339675,0.004391027,0.007014226],"category_scores_gemma":[0.024378853,0.0005466163,0.00063675136,0.004038538,0.043002985,0.05686152,0.013577595,0.004398657,0.0012152496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017463191,0.000035789555,0.00064782944,0.00003929274,0.0000049808455,0.00017254184,0.04430341,0.00020741702,0.00015700632,0.9301991,0.0037827434,0.020432401],"study_design_scores_gemma":[0.000015562451,0.000018235693,0.0004523243,0.00015524987,0.000012331571,0.00014477145,0.08821579,0.0012132574,0.0005117086,0.78591925,0.12331174,0.000029767518],"about_ca_topic_score_codex":0.0075306976,"about_ca_topic_score_gemma":0.012184171,"teacher_disagreement_score":0.027674574,"about_ca_system_score_codex":0.0065517053,"about_ca_system_score_gemma":0.009024973,"threshold_uncertainty_score":0.061741292},"labels":[],"label_agreement":null},{"id":"W2121041488","doi":"10.1007/s00778-013-0337-7","title":"gStore: a graph-based SPARQL query engine","year":2013,"lang":"en","type":"article","venue":"The VLDB Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":202,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; Computer science; Named graph; RDF; Scalability; RDF query language; Information retrieval; Web search query; Query optimization; Graph; Query expansion; RDF Schema; Web query classification; Theoretical computer science; Semantic Web; Database; Search engine","score_opus":0.012074452013339535,"score_gpt":0.20327558979719282,"score_spread":0.19120113778385328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121041488","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010695391,0.0007946964,0.63075984,0.00055894075,0.00021327219,0.00044872632,0.019353226,0.32917285,0.008003093],"genre_scores_gemma":[0.15968014,0.001690638,0.66299134,0.0021510446,0.00014811114,0.0006794217,0.1133544,0.039465837,0.01983907],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982718,0.00023162637,0.00020527282,0.0003370269,0.00082804746,0.00012620226],"domain_scores_gemma":[0.9983897,0.0005805668,0.00009212132,0.0005095821,0.0003362913,0.000091709684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016111932,0.0013683804,0.0015123902,0.0024830147,0.00065959105,0.0024945235,0.0034881982,0.0011899015,0.013706576],"category_scores_gemma":[0.0040408475,0.0010530084,0.001654714,0.0028760869,0.00076810445,0.0048405374,0.0028099942,0.0015807728,0.0064803227],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021567894,0.00067181385,0.0051432294,0.0030892445,0.0010660749,0.00072144694,0.00074672076,0.035445336,0.0642688,0.07019129,0.37372825,0.442771],"study_design_scores_gemma":[0.00074566493,0.00035427578,0.0027085315,0.00024795253,0.00051820866,0.00094188,0.0004834453,0.5010182,0.07639446,0.11062019,0.30558982,0.00037723823],"about_ca_topic_score_codex":0.008267613,"about_ca_topic_score_gemma":0.012660597,"teacher_disagreement_score":0.013706576,"about_ca_system_score_codex":0.0009718442,"about_ca_system_score_gemma":0.0014437593,"threshold_uncertainty_score":0.04585302},"labels":[],"label_agreement":null},{"id":"W2122435612","doi":"10.1017/s0269888905000251","title":"An overview of methods and tools for ontology learning from texts","year":2004,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México; Atomic Energy of Canada Limited; Comunidad de Madrid","keywords":"Ontology; Ontology learning; Computer science; Process (computing); Information retrieval; Process ontology; Ontology-based data integration; Ontology alignment; Upper ontology; Artificial intelligence; Data science; Natural language processing; Suggested Upper Merged Ontology; Semantic Web; Programming language","score_opus":0.11783172614231857,"score_gpt":0.399929028000486,"score_spread":0.28209730185816745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122435612","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012381437,0.024890834,0.9611646,0.0011564114,0.00024130808,0.00037421606,0.00096371013,0.0031745753,0.0067961947],"genre_scores_gemma":[0.007902106,0.028241066,0.95560133,0.00034990092,0.00022376834,0.00088910956,0.002279868,0.0004689458,0.0040439707],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932374,0.002024669,0.0012687691,0.0008301938,0.002470602,0.00016829166],"domain_scores_gemma":[0.9891994,0.007164789,0.00064655824,0.0011347159,0.0016843944,0.00017008057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070692822,0.0017338888,0.0018364621,0.019560082,0.0015430262,0.005582299,0.0026842018,0.0021359397,0.005855804],"category_scores_gemma":[0.017151523,0.001310084,0.002379288,0.016235512,0.0015175965,0.010138372,0.002596223,0.0024826615,0.0055147028],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043366017,0.00011932728,0.00090278266,0.0042705745,0.00013755588,0.0002773122,0.0010773414,0.0014424665,0.0025945846,0.046548337,0.016744575,0.9258418],"study_design_scores_gemma":[0.00006140891,0.00007198124,0.0025352081,0.0036519845,0.00018895083,0.0017814118,0.0012408927,0.022526694,0.010094315,0.1842707,0.7733686,0.00020783344],"about_ca_topic_score_codex":0.0024419262,"about_ca_topic_score_gemma":0.002793565,"teacher_disagreement_score":0.019560082,"about_ca_system_score_codex":0.0014704101,"about_ca_system_score_gemma":0.0027810666,"threshold_uncertainty_score":0.037386358},"labels":[],"label_agreement":null},{"id":"W2123310021","doi":"10.3115/1610075.1610152","title":"Context-dependent term relations for information retrieval","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Term (time); Relation (database); Context (archaeology); Information retrieval; Java; Query expansion; Word (group theory); Natural language processing; Artificial intelligence; Programming language; Data mining; Linguistics","score_opus":0.012515943116536227,"score_gpt":0.23205328169764122,"score_spread":0.219537338581105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123310021","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061819428,0.01965573,0.9596232,0.0011335448,0.0005088926,0.00043106158,0.002278595,0.0033052308,0.006881795],"genre_scores_gemma":[0.08811231,0.007448677,0.8947736,0.00045787517,0.0008022262,0.0009056333,0.0038044085,0.00038431466,0.0033109747],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9936107,0.002811307,0.0005722369,0.0009172081,0.0019492995,0.00013922402],"domain_scores_gemma":[0.9939891,0.0035072933,0.0004494319,0.0012366057,0.0007232247,0.0000942793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033704,0.001285221,0.0017167111,0.0075560575,0.0012508568,0.0026128562,0.0017754566,0.0016184618,0.0062433295],"category_scores_gemma":[0.01736087,0.0006144043,0.001750571,0.011383261,0.0010691299,0.006612028,0.0017433305,0.0020753744,0.0052296254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027221505,0.00017186029,0.0011872381,0.0013738974,0.00027449505,0.0004953985,0.00072184345,0.02233549,0.0111996485,0.32344225,0.036578283,0.6019475],"study_design_scores_gemma":[0.00008065716,0.00012877086,0.0019178925,0.0003168589,0.00021870209,0.0011197566,0.00024239958,0.26621386,0.00618368,0.578831,0.14457303,0.00017332954],"about_ca_topic_score_codex":0.0038541919,"about_ca_topic_score_gemma":0.0038122607,"teacher_disagreement_score":0.0075560575,"about_ca_system_score_codex":0.0015927479,"about_ca_system_score_gemma":0.0014793862,"threshold_uncertainty_score":0.020886004},"labels":[],"label_agreement":null},{"id":"W2123328799","doi":"10.1007/978-0-387-34347-1_9","title":"Toward the Identification and Elimination of Semantic Conflicts for the Integration of RuleML-based Ontologies","year":2006,"lang":"en","type":"book-chapter","venue":"Semantic web and beyond","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Semantic Web Rule Language; Information retrieval; OWL-S; Semantic Web Stack; Web Ontology Language; World Wide Web; Semantic Web; XSLT; XML; Ontology; Semantic analytics; Programming language; Markup language; XHTML","score_opus":0.04044158494143771,"score_gpt":0.2615317712698312,"score_spread":0.22109018632839347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123328799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030144777,0.00027425846,0.99270284,0.00041971888,0.000032596665,0.0001506078,0.000059859038,0.0009921528,0.0023535206],"genre_scores_gemma":[0.031197624,0.00023830612,0.9665128,0.00016318855,0.000031353866,0.0001235962,0.00033101623,0.00026627825,0.0011359308],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9787082,0.009858945,0.0017664549,0.0018131544,0.007220258,0.0006329686],"domain_scores_gemma":[0.9676416,0.01738061,0.001690816,0.007283735,0.0055310843,0.00047213866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019752061,0.0014207894,0.0016764444,0.0032307764,0.0018970454,0.010300272,0.005591542,0.0034285074,0.0027543842],"category_scores_gemma":[0.060602453,0.0022202726,0.0021671783,0.0029507382,0.004325,0.015366482,0.008813375,0.0066751605,0.0021533147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004277552,0.00040615335,0.0020784186,0.0006420124,0.00022882804,0.0004399729,0.0038804836,0.034881745,0.011470863,0.400645,0.011019132,0.53387964],"study_design_scores_gemma":[0.000098306475,0.00006805407,0.00044644126,0.00033018118,0.00021892998,0.00038331945,0.0010800598,0.52173156,0.02753859,0.41539207,0.03260656,0.00010584572],"about_ca_topic_score_codex":0.004644281,"about_ca_topic_score_gemma":0.005670446,"teacher_disagreement_score":0.019752061,"about_ca_system_score_codex":0.0016546061,"about_ca_system_score_gemma":0.004904563,"threshold_uncertainty_score":0.10446012},"labels":[],"label_agreement":null},{"id":"W2123752633","doi":"10.1007/978-3-540-30192-9_47","title":"Query Answering in Peer-to-Peer Data Exchange Systems","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Peer-to-peer; Data exchange; Semantics (computer science); Information exchange; Information retrieval; Theoretical computer science; World Wide Web; Programming language","score_opus":0.050054585259528515,"score_gpt":0.2824427266735389,"score_spread":0.2323881414140104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123752633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037453346,0.0044918777,0.9457213,0.0022597653,0.000285798,0.00047285925,0.0002542197,0.0022718532,0.006789004],"genre_scores_gemma":[0.5491006,0.0036019336,0.4295698,0.00054823473,0.0005830335,0.0006533418,0.0015506772,0.0005652084,0.013827172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9905377,0.0037038666,0.0009127169,0.0012923623,0.0028108004,0.0007425681],"domain_scores_gemma":[0.98329043,0.012947863,0.0004230777,0.0015840847,0.0013578569,0.00039670346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010897834,0.0009319107,0.0038229015,0.0017626908,0.0041099642,0.0073382473,0.0053881826,0.0051845186,0.0038229942],"category_scores_gemma":[0.025683532,0.0015020423,0.00094545283,0.004403147,0.0028713155,0.013392258,0.0045060758,0.0029887483,0.0014538864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013075981,0.0006565564,0.0030900368,0.0014945215,0.00025806064,0.0015197152,0.004340016,0.22520378,0.010693014,0.3654148,0.030116137,0.3559058],"study_design_scores_gemma":[0.0001280057,0.00012762065,0.0004352711,0.000067263674,0.00011323332,0.00070175435,0.001258846,0.6127256,0.007756187,0.35697564,0.019626008,0.00008462598],"about_ca_topic_score_codex":0.006349851,"about_ca_topic_score_gemma":0.0043538455,"teacher_disagreement_score":0.010897834,"about_ca_system_score_codex":0.0020248785,"about_ca_system_score_gemma":0.0019024559,"threshold_uncertainty_score":0.057633936},"labels":[],"label_agreement":null},{"id":"W2124417984","doi":"10.5194/isprsarchives-xl-2-w1-53-2013","title":"TOWARDS A COLLABORATIVE KNOWLEDGE DISCOVERY SYSTEM FOR ENRICHING SEMANTIC INFORMATION ABOUT RISKS OF GEOSPATIAL DATA","year":2013,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Université Laval; Centre de Géomatique du Québec","funders":"","keywords":"Geospatial analysis; Computer science; Data science; Knowledge extraction; Context (archaeology); Domain knowledge; Scope (computer science); Semantic Web; Knowledge management; Risk analysis (engineering); World Wide Web; Data mining; Geography; Business","score_opus":0.03786780550816921,"score_gpt":0.29815214504518783,"score_spread":0.2602843395370186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124417984","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019671725,0.00025786235,0.95890176,0.0008999293,0.000069199414,0.00052537234,0.00090982695,0.015172193,0.003592104],"genre_scores_gemma":[0.10499845,0.00026241355,0.88653034,0.00041274435,0.00005732172,0.00033322888,0.0040320507,0.0005360767,0.0028374607],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921135,0.0021353532,0.0013088934,0.0018369481,0.00226543,0.00033990786],"domain_scores_gemma":[0.9813017,0.0080054235,0.0014394324,0.005074278,0.003234798,0.00094424817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01024349,0.0011606148,0.0015816528,0.009745349,0.0023425894,0.0075324615,0.0037697772,0.0036974384,0.0029427165],"category_scores_gemma":[0.019436758,0.0010380845,0.0024739017,0.0052279886,0.0012435747,0.00995898,0.008821488,0.0030007332,0.0021047196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016667098,0.0037112047,0.021402996,0.002397407,0.0015526266,0.007085434,0.008813291,0.03403059,0.04743697,0.07694204,0.026475187,0.7684855],"study_design_scores_gemma":[0.00029598107,0.00037184227,0.0066755638,0.000639521,0.00114567,0.0029636594,0.002489369,0.67833996,0.07065554,0.10575769,0.13028793,0.0003773548],"about_ca_topic_score_codex":0.0035450328,"about_ca_topic_score_gemma":0.004087503,"teacher_disagreement_score":0.01024349,"about_ca_system_score_codex":0.0013544519,"about_ca_system_score_gemma":0.0039779074,"threshold_uncertainty_score":0.05417341},"labels":[],"label_agreement":null},{"id":"W2125997112","doi":"10.1002/meet.14505001010","title":"ASIST 2013: Making publics 2.0: Humanities data linked through a topical repository","year":2013,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Publics; Digital humanities; Computer science; Humanities; World Wide Web; Political science; Art; Law","score_opus":0.040154221874305465,"score_gpt":0.2828054640857659,"score_spread":0.24265124221146045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125997112","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013448952,0.004474554,0.19922698,0.04974323,0.0061972295,0.0016775156,0.28362387,0.10298257,0.33862522],"genre_scores_gemma":[0.1131449,0.0069521386,0.2698434,0.008307063,0.003220918,0.00407201,0.44313234,0.043803554,0.10752358],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98949057,0.005069714,0.0005214797,0.00083921436,0.0033337185,0.000745377],"domain_scores_gemma":[0.9786543,0.006188562,0.0011063835,0.008033118,0.0029869934,0.0030307434],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.020496929,0.0007026661,0.00088244147,0.008467698,0.0061983573,0.018716078,0.003045099,0.0029457032,0.059058625],"category_scores_gemma":[0.03718517,0.0012167362,0.0013880203,0.0117104845,0.0034627193,0.024509864,0.019906184,0.0042728516,0.03969824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018575056,0.00010482123,0.0016508799,0.0007897708,0.000059629438,0.00020048696,0.0050869673,0.0006912098,0.0013617844,0.12122481,0.7935962,0.07504775],"study_design_scores_gemma":[0.000014638611,0.000011677109,0.00062437885,0.00021927795,0.000012218823,0.000056277062,0.0013053806,0.0006091502,0.00061524415,0.018646955,0.9778487,0.000036218302],"about_ca_topic_score_codex":0.014040221,"about_ca_topic_score_gemma":0.025279816,"teacher_disagreement_score":0.9812839,"about_ca_system_score_codex":0.0038794428,"about_ca_system_score_gemma":0.012069131,"threshold_uncertainty_score":0.1975708},"labels":[],"label_agreement":null},{"id":"W2126434088","doi":"10.1002/meet.14505001018","title":"The Temporal dimension in the study of knowledge bases: Approaches to understanding knowledge creation and representation over time","year":2013,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Dimension (graph theory); Representation (politics); Computer science; Documentation; Data science; Selection (genetic algorithm); Cluster analysis; Feature (linguistics); Knowledge representation and reasoning; Knowledge management; Subject (documents); Knowledge base; Information retrieval; Artificial intelligence; Mathematics; World Wide Web; Linguistics","score_opus":0.06473461823387384,"score_gpt":0.2940042212151715,"score_spread":0.22926960298129767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126434088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022437882,0.030739922,0.8239531,0.079825826,0.0010246558,0.00034633782,0.00035495087,0.00019893648,0.04111845],"genre_scores_gemma":[0.5791232,0.03727152,0.3621891,0.005917777,0.0019865748,0.0023202258,0.00061238365,0.00033917584,0.010240044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.991163,0.0066135237,0.00046983393,0.0007357507,0.0006919026,0.00032601604],"domain_scores_gemma":[0.9529936,0.0408524,0.0014134714,0.0018571549,0.0018186236,0.0010647019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023584345,0.0006422746,0.0012088951,0.008933289,0.0054553384,0.024270004,0.0032167563,0.0040310742,0.0062818388],"category_scores_gemma":[0.028423766,0.0010093546,0.0018648037,0.0122675365,0.027366271,0.036852773,0.006637531,0.006316908,0.00058164634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005336107,0.00004658729,0.00083877286,0.00033930424,0.00003479829,0.00012473922,0.022327239,0.002150654,0.00043368817,0.9273203,0.0039777164,0.042352922],"study_design_scores_gemma":[0.000020569076,0.000022209402,0.00084672286,0.000627428,0.000029259154,0.0001524666,0.0155224465,0.007155199,0.0002374137,0.923294,0.052051775,0.00004049521],"about_ca_topic_score_codex":0.008454049,"about_ca_topic_score_gemma":0.010558686,"teacher_disagreement_score":0.024270004,"about_ca_system_score_codex":0.008407426,"about_ca_system_score_gemma":0.0050755925,"threshold_uncertainty_score":0.12472749},"labels":[],"label_agreement":null},{"id":"W2126460608","doi":"10.1177/0165551510388118","title":"Knowledge organization landscape: A content analysis of introductory courses","year":2010,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Knowledge organization; Metadata; Computer science; World Wide Web; Subject (documents); Markup language; Accreditation; Library science; Knowledge management; XML; Political science","score_opus":0.021565590485504074,"score_gpt":0.2763152937036133,"score_spread":0.25474970321810925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126460608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913976,0.00015116659,0.0009847439,0.00010426591,0.0000035648177,0.00008049472,0.0011785633,0.000031129282,0.006068408],"genre_scores_gemma":[0.9910205,0.0002292596,0.003030065,0.000030727704,0.000009098602,0.00010405929,0.0030319046,0.00003683504,0.0025076233],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99928445,0.00014717018,0.00005193363,0.00010243874,0.00029790893,0.00011609457],"domain_scores_gemma":[0.9941737,0.0029759873,0.0006115875,0.000175309,0.0016897089,0.00037374723],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007464571,0.00010187172,0.00023985053,0.010164874,0.00096663414,0.002084727,0.00029631963,0.00026574716,0.0025406592],"category_scores_gemma":[0.006474648,0.00009994651,0.00018611927,0.010981773,0.000574008,0.0014661052,0.0010504083,0.00026155091,0.00033009233],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034570738,0.00046813072,0.52796924,0.00067261135,0.00006218583,0.0008360739,0.11346264,0.00057403685,0.016528701,0.0038744388,0.0041690045,0.33103713],"study_design_scores_gemma":[0.000008928921,0.000088353074,0.9313774,0.000119194054,0.000029850538,0.0002989043,0.04669666,0.001438197,0.0018945965,0.0007213208,0.017307078,0.000019575693],"about_ca_topic_score_codex":0.015082612,"about_ca_topic_score_gemma":0.01725166,"teacher_disagreement_score":0.99791527,"about_ca_system_score_codex":0.0017757812,"about_ca_system_score_gemma":0.0016650019,"threshold_uncertainty_score":0.0299896},"labels":[],"label_agreement":null},{"id":"W2126750612","doi":"10.1002/meet.2011.14504801069","title":"Social tagging &amp; folksonomies: Indexing, retrieving… and beyond?","year":2011,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Western University","funders":"","keywords":"Folksonomy; Computer science; Search engine indexing; Information retrieval; World Wide Web; Data science","score_opus":0.02429762885341989,"score_gpt":0.26061974744453936,"score_spread":0.23632211859111948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126750612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05148067,0.075329505,0.51953566,0.12211331,0.011929634,0.00057671865,0.0027504945,0.0041512023,0.2121328],"genre_scores_gemma":[0.3951678,0.09511576,0.31214848,0.014914698,0.0118333055,0.00053948106,0.0068022264,0.002187559,0.16129063],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9950059,0.0027899214,0.00036602834,0.0004160518,0.0011995658,0.00022260252],"domain_scores_gemma":[0.9892681,0.00491948,0.00057726796,0.0015308082,0.0033254742,0.00037880117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00757718,0.00054787024,0.0010066719,0.006491215,0.0029980151,0.014667906,0.0013372342,0.0022892274,0.011943563],"category_scores_gemma":[0.015741462,0.00043573068,0.00058718555,0.011456013,0.0035694658,0.024195476,0.0028178187,0.0015716343,0.0066284104],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088679684,0.00007486795,0.0031263332,0.000831995,0.0000589221,0.00014738993,0.0030131298,0.001016336,0.004413098,0.12871167,0.21707073,0.6414468],"study_design_scores_gemma":[0.000011403951,0.00004227129,0.002970166,0.000990162,0.00003806363,0.00049400004,0.004965116,0.007943479,0.0041215224,0.1291031,0.84922516,0.00009558971],"about_ca_topic_score_codex":0.002966454,"about_ca_topic_score_gemma":0.004334368,"teacher_disagreement_score":0.014667906,"about_ca_system_score_codex":0.001797949,"about_ca_system_score_gemma":0.0017032778,"threshold_uncertainty_score":0.04007244},"labels":[],"label_agreement":null},{"id":"W2127002961","doi":"10.1613/jair.3640","title":"Domain and Function: A Dual-Space Model of Semantic Relations and Compositions","year":2012,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Domain (mathematical analysis); Function (biology); Similarity (geometry); Space (punctuation); Vector space model; Semantic space; Vector space; Semantic similarity","score_opus":0.1732412730920352,"score_gpt":0.39043277194387965,"score_spread":0.21719149885184447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127002961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026208661,0.00033588882,0.96077335,0.0009132229,0.000068789,0.00007744969,0.00042829252,0.00094762625,0.0102468245],"genre_scores_gemma":[0.5696641,0.00048552785,0.412068,0.00038332978,0.00011248186,0.00035220425,0.0016196955,0.00030104004,0.015013579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998131,0.00064909825,0.000109261884,0.0005528546,0.00038362393,0.00017423305],"domain_scores_gemma":[0.99837947,0.00052762486,0.0001567539,0.00044105627,0.00030068733,0.00019451065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016360328,0.0012936125,0.0008249615,0.0025310607,0.00087775674,0.004288218,0.0024870858,0.0020385464,0.007792963],"category_scores_gemma":[0.0046732,0.00069865404,0.002504205,0.0016981022,0.0031464354,0.012830608,0.0029979954,0.00251552,0.0023043193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048205684,0.0001476008,0.0028644956,0.00018193982,0.000094578,0.00021865699,0.00134655,0.10452635,0.0040743337,0.75976294,0.003539844,0.122760706],"study_design_scores_gemma":[0.000036997022,0.000081053055,0.0005599054,0.0000332649,0.00003340771,0.00017839028,0.00018565317,0.57954806,0.0011318967,0.4091628,0.009014539,0.000034074936],"about_ca_topic_score_codex":0.008792302,"about_ca_topic_score_gemma":0.00441421,"teacher_disagreement_score":0.008792302,"about_ca_system_score_codex":0.0018821302,"about_ca_system_score_gemma":0.0016406383,"threshold_uncertainty_score":0.026069999},"labels":[],"label_agreement":null},{"id":"W2127522545","doi":"10.1109/icif.2007.4408139","title":"Multi-source semantic integration - revisiting the theory of signs and ontology alignment principles","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Ontology; Notional amount; Semiotics; Natural language processing; Process (computing); Semantics (computer science); Perspective (graphical); Artificial intelligence; Information retrieval; Linguistics; Epistemology; Programming language; Philosophy","score_opus":0.04746864900355709,"score_gpt":0.2802758829580764,"score_spread":0.23280723395451935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127522545","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01084811,0.0015551955,0.9313172,0.0068790116,0.00033717154,0.000085504675,0.00008388238,0.0003144844,0.048579317],"genre_scores_gemma":[0.5276724,0.002004976,0.46007738,0.0012267971,0.00045206296,0.00038035944,0.00020383169,0.00033706366,0.007645132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.985742,0.0069433628,0.0010920957,0.0015171174,0.0041568656,0.00054855505],"domain_scores_gemma":[0.9859803,0.0064403545,0.0013372963,0.0035022616,0.0022882405,0.000451494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014130469,0.0008404216,0.0014603552,0.007362138,0.002956993,0.01253071,0.002967182,0.0036211505,0.0040122555],"category_scores_gemma":[0.02330717,0.0009758227,0.0018721243,0.0069899005,0.018376006,0.039215285,0.0123902075,0.0048393593,0.0011399237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000105033705,0.00000786771,0.00015229348,0.00006435193,0.000014257104,0.00005844376,0.00092722866,0.0006697786,0.000224633,0.98427814,0.00032998953,0.013262547],"study_design_scores_gemma":[0.000010987404,0.0000169399,0.00012288507,0.000094024756,0.000021497566,0.00009219718,0.00052008184,0.004733438,0.00047777858,0.9832328,0.010661496,0.000015824697],"about_ca_topic_score_codex":0.002343022,"about_ca_topic_score_gemma":0.0016462235,"teacher_disagreement_score":0.014130469,"about_ca_system_score_codex":0.003421722,"about_ca_system_score_gemma":0.0035320392,"threshold_uncertainty_score":0.07472998},"labels":[],"label_agreement":null},{"id":"W2127562855","doi":"10.1109/icalt.2007.273","title":"Using a Competence Model to Aggregate Learning Knowledge Objects","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Computer science; Standardization; Competence (human resources); Ontology; Natural language processing; Artificial intelligence","score_opus":0.08282889953244134,"score_gpt":0.33596222850248775,"score_spread":0.2531333289700464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127562855","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070318407,0.00008082981,0.98300445,0.00038323645,0.000036982874,0.0001761906,0.00018473036,0.0005929722,0.00850886],"genre_scores_gemma":[0.18935715,0.00020465908,0.8038534,0.0001474547,0.000033084936,0.00037898368,0.00088065356,0.00012716095,0.00501753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979468,0.0005163662,0.0002381221,0.00039347558,0.0007893169,0.000115898154],"domain_scores_gemma":[0.9983353,0.0005835075,0.00014018331,0.0004085109,0.00040419234,0.00012834583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023384942,0.0006261151,0.00042040646,0.002183217,0.0007766874,0.0033952245,0.00117257,0.00095209194,0.0025410627],"category_scores_gemma":[0.005802777,0.00027129505,0.0012467804,0.0012536795,0.0013549513,0.006176071,0.0026312596,0.0012768138,0.0010234285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004417683,0.00021124305,0.002387939,0.00022630113,0.00010433641,0.00042095437,0.0021333254,0.048675437,0.006237402,0.75582606,0.004904036,0.17882887],"study_design_scores_gemma":[0.000047378624,0.00010746362,0.0012847546,0.00019601146,0.00011277158,0.0003639027,0.00053563644,0.3958798,0.008465374,0.5195487,0.07337475,0.0000833601],"about_ca_topic_score_codex":0.0060845027,"about_ca_topic_score_gemma":0.0057938052,"teacher_disagreement_score":0.0060845027,"about_ca_system_score_codex":0.0014421125,"about_ca_system_score_gemma":0.0020668723,"threshold_uncertainty_score":0.012367308},"labels":[],"label_agreement":null},{"id":"W2127711035","doi":"","title":"A Learning Content Authoring Approach Based on Semantic Technologies and Social Networking: An Empirical Study","year":2011,"lang":"en","type":"article","venue":"Educational Technology & Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Personalization; Social Semantic Web; World Wide Web; Semantic Web; Process (computing); Multimedia; Semantic Web Stack; Social web; Web 2.0; Empirical research; The Internet; Social media","score_opus":0.11401246099753547,"score_gpt":0.3208294908198804,"score_spread":0.2068170298223449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127711035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961682,0.00010776631,0.00095055375,0.000103697166,0.000004431538,0.00020264793,0.000036827616,0.000012723618,0.002413212],"genre_scores_gemma":[0.99653155,0.00018957412,0.0021792895,0.000048683032,0.000008887257,0.0001702069,0.000073677635,0.000012099724,0.0007860143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9898886,0.006425792,0.00076416926,0.0005934526,0.0018994913,0.00042839634],"domain_scores_gemma":[0.8374457,0.13828339,0.009072881,0.0043724743,0.008080107,0.002745437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0157087,0.00036609118,0.00045200164,0.0026865017,0.0015131407,0.002879943,0.0009608723,0.0010227701,0.0024951193],"category_scores_gemma":[0.06105552,0.00041302975,0.0003319691,0.0023529283,0.001862229,0.0047271797,0.0014336858,0.0013481143,0.0005510839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011093532,0.020068562,0.5978497,0.0019042768,0.00014537551,0.0018973411,0.20582741,0.0010405419,0.006584617,0.0052832323,0.0022861937,0.1560034],"study_design_scores_gemma":[0.00031667712,0.006299862,0.67841846,0.0006652505,0.00027489793,0.0027586047,0.26129693,0.016406156,0.008154156,0.0020988719,0.02313747,0.00017272646],"about_ca_topic_score_codex":0.0019644427,"about_ca_topic_score_gemma":0.003063686,"teacher_disagreement_score":0.0157087,"about_ca_system_score_codex":0.0012202326,"about_ca_system_score_gemma":0.001279427,"threshold_uncertainty_score":0.08307654},"labels":[],"label_agreement":null},{"id":"W2128060082","doi":"","title":"Exploring RDF Usage and Interlinking in the Linked Open Data Cloud using ExpLOD","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"SPARQL; Linked data; RDF; Computer science; Automatic summarization; RDF Schema; Semantic Web; Simple Knowledge Organization System; Information retrieval; Cloud computing; Cwm; Schema (genetic algorithms); Graph; World Wide Web; Theoretical computer science","score_opus":0.49516814140255244,"score_gpt":0.3705258739628138,"score_spread":0.12464226743973866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128060082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21657464,0.0005529073,0.75486356,0.00093750726,0.000041728446,0.00021400396,0.010925469,0.0097083375,0.00618181],"genre_scores_gemma":[0.38424373,0.0004989842,0.60448974,0.00008129598,0.0000160159,0.0001756829,0.008707075,0.0006388895,0.0011485115],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890435,0.0003829684,0.00012033214,0.00020796487,0.0003367762,0.000047574653],"domain_scores_gemma":[0.996858,0.0017974603,0.00030224494,0.00068688334,0.00025422103,0.00010131124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001997645,0.0004199022,0.0005360132,0.003044688,0.0011184749,0.0023805697,0.00066946243,0.00046510264,0.0011923255],"category_scores_gemma":[0.0066838316,0.0002829603,0.00054209353,0.00443265,0.0005415564,0.004087812,0.0021456482,0.0007888813,0.00025257535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010729773,0.0003793024,0.036236394,0.0013385945,0.0002743621,0.0027005174,0.02027313,0.093759224,0.03134714,0.16474107,0.019738339,0.62813896],"study_design_scores_gemma":[0.00008909561,0.00011159767,0.009215805,0.0002406598,0.00009907299,0.00075508025,0.0077395802,0.66469896,0.05863753,0.14994203,0.10833065,0.00013989197],"about_ca_topic_score_codex":0.004473066,"about_ca_topic_score_gemma":0.008101214,"teacher_disagreement_score":0.004473066,"about_ca_system_score_codex":0.0008366952,"about_ca_system_score_gemma":0.00079130265,"threshold_uncertainty_score":0.010564685},"labels":[],"label_agreement":null},{"id":"W2128815056","doi":"10.1007/s13347-015-0205-z","title":"Book Symposium on Le concept d’information dans la science contemporaine","year":2015,"lang":"fr","type":"article","venue":"Philosophy & Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Philosophy of technology; Philosophy of science; Philosophy; Epistemology; Humanities","score_opus":0.027555914073072185,"score_gpt":0.25640577646214713,"score_spread":0.22884986238907495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128815056","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009961438,0.22957584,0.004721707,0.03558258,0.08668591,0.000031383937,0.00035613656,0.00018916524,0.6418611],"genre_scores_gemma":[0.015300472,0.08792865,0.0026355798,0.009733664,0.03969801,0.000062906416,0.00037050367,0.00025693036,0.8440133],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994554,0.00012682949,0.000031728636,0.00010980439,0.0002321641,0.000044118533],"domain_scores_gemma":[0.9990158,0.0004990276,0.000035855723,0.00006951742,0.00024679885,0.00013306197],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008814705,0.00084541016,0.00076635013,0.004483725,0.0024870418,0.00540661,0.0007997486,0.0021424133,0.059618477],"category_scores_gemma":[0.0015751431,0.00043626345,0.00073966244,0.004256628,0.0028408493,0.005017173,0.0016905498,0.0046527972,0.016715884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034198532,0.00003471155,0.00007307183,0.0002706856,0.000010138418,0.00007311338,0.00052407203,0.00017675468,0.00032692635,0.27397132,0.6756662,0.048838817],"study_design_scores_gemma":[0.0000025778008,0.0000041551393,0.000049009283,0.00009050935,0.000002260748,0.00003649052,0.00004066094,0.00003535643,0.00004148086,0.010330471,0.9893646,0.0000023394628],"about_ca_topic_score_codex":0.004517905,"about_ca_topic_score_gemma":0.00865397,"teacher_disagreement_score":0.99751294,"about_ca_system_score_codex":0.0038402958,"about_ca_system_score_gemma":0.0024213677,"threshold_uncertainty_score":0.19944364},"labels":[],"label_agreement":null},{"id":"W2129023890","doi":"","title":"A platform for distributing and reasoning with OWL-EL knowledge bases in a peer-to-peer environment","year":2009,"lang":"en","type":"article","venue":"OWL: Experiences and Directions","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Semantic reasoner; Computer science; Distributed hash table; Peer-to-peer; Task (project management); Web Ontology Language; Description logic; Hash function; Distributed computing; Theoretical computer science; Programming language; Semantic Web; World Wide Web; Artificial intelligence","score_opus":0.01874703918466938,"score_gpt":0.2795762991442048,"score_spread":0.26082925995953543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129023890","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006720893,0.00004478615,0.9711367,0.00026991375,0.000063891326,0.00031167903,0.00016331645,0.018814037,0.0024747287],"genre_scores_gemma":[0.08546401,0.00015212303,0.904123,0.00015407364,0.000050935687,0.0003586618,0.0010239452,0.0013686791,0.007304576],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855214,0.00022383904,0.00020550539,0.00031616015,0.00059522886,0.000107217085],"domain_scores_gemma":[0.9969693,0.00083863275,0.00022964284,0.0012884813,0.00038813593,0.00028591426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003403628,0.0004918376,0.0007436479,0.0012229763,0.0018869765,0.0037701246,0.002558005,0.0012413983,0.005958069],"category_scores_gemma":[0.0053462647,0.0009532578,0.0010496445,0.000992521,0.0013624999,0.005590105,0.0029404003,0.0022266433,0.002957623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009574511,0.0014484384,0.0043482687,0.00085404015,0.0003768293,0.0022489934,0.003682014,0.040307805,0.07222935,0.21505116,0.040138297,0.6183574],"study_design_scores_gemma":[0.00061005855,0.00037766388,0.0020684882,0.00021369991,0.00028925124,0.0012705191,0.0009839481,0.54660434,0.05916041,0.15029834,0.23787041,0.00025278822],"about_ca_topic_score_codex":0.0044180322,"about_ca_topic_score_gemma":0.005024498,"teacher_disagreement_score":0.005958069,"about_ca_system_score_codex":0.0008421358,"about_ca_system_score_gemma":0.0024288693,"threshold_uncertainty_score":0.019931793},"labels":[],"label_agreement":null},{"id":"W2129125605","doi":"10.1109/wi.2003.1241260","title":"A framework for an advanced reading support in the digital library age","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Reading (process); Computer science; Context (archaeology); Digital library; World Wide Web; Annotation; Natural (archaeology); Multimedia; Knowledge management; Artificial intelligence; Linguistics","score_opus":0.03242685303779195,"score_gpt":0.28994164627406815,"score_spread":0.2575147932362762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129125605","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034276352,0.00063156895,0.9540193,0.0037248288,0.00017337111,0.0003320097,0.00015403512,0.0022714832,0.035265777],"genre_scores_gemma":[0.06791783,0.0005487942,0.9169367,0.00053484895,0.00010011514,0.00047843088,0.000366306,0.0002408114,0.012876179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972115,0.001061743,0.00025165972,0.00054458535,0.00062206027,0.00030843783],"domain_scores_gemma":[0.9974987,0.0007839583,0.0001583406,0.00047308457,0.0004827884,0.0006031362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005556574,0.0008567574,0.00068422226,0.0022138108,0.0023370273,0.0076261307,0.0040173866,0.004970594,0.00840303],"category_scores_gemma":[0.0043080417,0.00075288845,0.0017845741,0.0016129315,0.005924436,0.010239324,0.006875958,0.0033142224,0.0041577835],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029703695,0.000117395735,0.00035261636,0.00015709973,0.000018549812,0.00039708026,0.0031335023,0.0028144412,0.00193177,0.9535182,0.0048947856,0.03263486],"study_design_scores_gemma":[0.000056900197,0.000100053236,0.00044229248,0.00045374272,0.000061170766,0.0008381278,0.0020356893,0.037367005,0.0022443798,0.65378165,0.30253288,0.000086100066],"about_ca_topic_score_codex":0.008516286,"about_ca_topic_score_gemma":0.009241518,"teacher_disagreement_score":0.008516286,"about_ca_system_score_codex":0.002324196,"about_ca_system_score_gemma":0.004941536,"threshold_uncertainty_score":0.029386282},"labels":[],"label_agreement":null},{"id":"W2129461732","doi":"10.1002/bult.2014.1720400414","title":"The importance of knowledge organization","year":2014,"lang":"en","type":"article","venue":"Bulletin of the Association for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Vocabulary; Knowledge organization; Semantic Web; Controlled vocabulary; Interoperability; Simple (philosophy); Information retrieval; Perspective (graphical); RDF; Associative property; Data science; Knowledge management; World Wide Web; Artificial intelligence; Linguistics; Mathematics","score_opus":0.005094385403303904,"score_gpt":0.21606313005759553,"score_spread":0.21096874465429163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129461732","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000548319,0.035445165,0.002603471,0.49909744,0.4321858,0.000022950475,0.00018591083,0.00010803247,0.029802935],"genre_scores_gemma":[0.032980148,0.07681286,0.0059732557,0.14381003,0.67821944,0.00009936327,0.00036549591,0.00025591566,0.0614835],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979013,0.0005323042,0.00021652547,0.00041675247,0.0007835062,0.00014970188],"domain_scores_gemma":[0.98554796,0.0076057035,0.0008246305,0.0006498158,0.0042955237,0.0010762956],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0028512161,0.0005749327,0.0007638799,0.0021672887,0.002024785,0.012033729,0.001251601,0.0031890857,0.013698894],"category_scores_gemma":[0.017069869,0.00025878515,0.0004256772,0.0017911146,0.0038189339,0.008898876,0.0021227146,0.0055956636,0.003799822],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000152558805,0.0000071695836,0.00010736551,0.0004092624,0.000012669999,0.00010961703,0.00019667453,0.00007510948,0.00008613545,0.039188508,0.9076158,0.05217649],"study_design_scores_gemma":[0.000004948962,0.000006606667,0.00021677873,0.0004382201,0.000008139314,0.00015283201,0.00019178061,0.00012125098,0.00008954386,0.016190257,0.9825697,0.000010023747],"about_ca_topic_score_codex":0.0019310409,"about_ca_topic_score_gemma":0.004954042,"teacher_disagreement_score":0.9879663,"about_ca_system_score_codex":0.0024703883,"about_ca_system_score_gemma":0.0031813025,"threshold_uncertainty_score":0.04582739},"labels":[],"label_agreement":null},{"id":"W2129544556","doi":"10.1142/s0218194002000834","title":"EVALUATING THEORIES FOR MANAGING IMPERFECT KNOWLEDGE IN HUMAN-CENTRIC DATABASE REENGINEERING ENVIRONMENTS","year":2002,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Documentation; Business process reengineering; Reverse engineering; Software engineering; Legacy system; Imperfect; Knowledge management; Process (computing); Data science; Systems engineering; Software; Engineering","score_opus":0.02763679813323434,"score_gpt":0.29500972378744905,"score_spread":0.2673729256542147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129544556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78557664,0.0008535509,0.19769268,0.0027159,0.000040499686,0.001400286,0.0002443464,0.00031122036,0.011164867],"genre_scores_gemma":[0.8986441,0.00036263218,0.09971368,0.00016931903,0.00002721913,0.00053655996,0.00023111055,0.000019630384,0.00029562673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9564099,0.03138457,0.0019949446,0.0012530976,0.007781094,0.0011764562],"domain_scores_gemma":[0.542048,0.42928013,0.009277738,0.0077861818,0.009681579,0.001926289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052933488,0.0010022736,0.0011358779,0.006581667,0.0016508184,0.005671481,0.0027049517,0.002864018,0.0015286548],"category_scores_gemma":[0.2037358,0.0005548312,0.0011680569,0.0031743436,0.0057677506,0.008251528,0.0043413327,0.0023501094,0.000118872274],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031062951,0.0023682178,0.029830769,0.0015017044,0.0007087444,0.0006276155,0.003407522,0.6723829,0.0017828898,0.14036404,0.001319465,0.14259987],"study_design_scores_gemma":[0.00033107243,0.0012774885,0.003932117,0.00020922256,0.00034656542,0.000104588784,0.0026460383,0.90996677,0.0034829914,0.07676036,0.00087039993,0.000072370574],"about_ca_topic_score_codex":0.0074295155,"about_ca_topic_score_gemma":0.009762238,"teacher_disagreement_score":0.052933488,"about_ca_system_score_codex":0.008806279,"about_ca_system_score_gemma":0.005033164,"threshold_uncertainty_score":0.2799424},"labels":[],"label_agreement":null},{"id":"W2129564368","doi":"10.1145/1645953.1646165","title":"(Not) yet another matcher","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Schema matching; Computer science; Schema (genetic algorithms); Matching (statistics); Artificial intelligence; Data mining; Similarity measure; Data integration; Machine learning; Mathematics","score_opus":0.023172237233974078,"score_gpt":0.2521749211032938,"score_spread":0.22900268386931974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129564368","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028440496,0.0011349154,0.8974587,0.0036738727,0.0009834884,0.00051953126,0.0023659668,0.03855269,0.026870338],"genre_scores_gemma":[0.15563679,0.0005321996,0.8048673,0.0029915099,0.0001792217,0.00036173148,0.004003296,0.0052765403,0.026151462],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99251294,0.0014884816,0.0008565584,0.0028321324,0.0018837395,0.00042617173],"domain_scores_gemma":[0.9893317,0.0019537571,0.0005193816,0.006286688,0.0015495494,0.00035881242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010063246,0.0010690892,0.0014368814,0.0021845077,0.0014747131,0.0044984524,0.0021864271,0.0031359533,0.02586422],"category_scores_gemma":[0.019941784,0.0009654316,0.0021104098,0.0024251866,0.0011573435,0.010318779,0.00480363,0.0021202182,0.017414192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011127599,0.00036675966,0.01571637,0.001131255,0.000599965,0.0010827724,0.0023210384,0.0044142623,0.03264305,0.12421631,0.09627963,0.7201157],"study_design_scores_gemma":[0.0001723187,0.0003392401,0.004320595,0.00032511688,0.0004497709,0.003424048,0.0015584647,0.057118073,0.07304071,0.089591555,0.7694483,0.00021174428],"about_ca_topic_score_codex":0.0009874688,"about_ca_topic_score_gemma":0.0008733565,"teacher_disagreement_score":0.02586422,"about_ca_system_score_codex":0.00087442354,"about_ca_system_score_gemma":0.0014283607,"threshold_uncertainty_score":0.08652443},"labels":[],"label_agreement":null},{"id":"W2129889089","doi":"10.14778/1920841.1921055","title":"Just-in-time data integration in action","year":2010,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Data integration; Computer science; Flexibility (engineering); Scalability; Process (computing); Information integration; Set (abstract data type); Ontology-based data integration; Enterprise information integration; System integration; Data virtualization; Database; Data science; Architecture","score_opus":0.054697867894580074,"score_gpt":0.29652098718718384,"score_spread":0.24182311929260375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129889089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016178641,0.00048277542,0.94606584,0.0022019194,0.0003825162,0.00029547093,0.0005682845,0.020725807,0.013098645],"genre_scores_gemma":[0.19827916,0.0005705639,0.78016347,0.0013330376,0.00015274769,0.00027667172,0.0023674264,0.0028314611,0.014025516],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931191,0.0019172145,0.0006193036,0.001634433,0.0022694345,0.00044054323],"domain_scores_gemma":[0.9909017,0.0024449106,0.00042303206,0.004822728,0.0009402416,0.0004673633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00916329,0.0011827957,0.0012247511,0.001267993,0.002215777,0.007005932,0.003983993,0.0024130794,0.0072715087],"category_scores_gemma":[0.01310714,0.001147383,0.0014457,0.0016278668,0.0032416913,0.0140192,0.009578864,0.0027439543,0.003156202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017767793,0.00096550334,0.016176634,0.0012564328,0.0006312812,0.0026128548,0.010668867,0.024680108,0.047398217,0.31273448,0.060082152,0.5210167],"study_design_scores_gemma":[0.00019740194,0.00026758225,0.0032588148,0.00037068114,0.00037125484,0.0013792277,0.0020290362,0.15551104,0.04346015,0.32230693,0.47054884,0.00029898604],"about_ca_topic_score_codex":0.0050746775,"about_ca_topic_score_gemma":0.0060596038,"teacher_disagreement_score":0.00916329,"about_ca_system_score_codex":0.0009518751,"about_ca_system_score_gemma":0.0022866216,"threshold_uncertainty_score":0.048460662},"labels":[],"label_agreement":null},{"id":"W2130252997","doi":"10.3233/sw-2011-0032","title":"The RacerPro knowledge representation and reasoning system","year":2012,"lang":"en","type":"article","venue":"Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Knowledge representation and reasoning; Representation (politics); Computer science; Model-based reasoning; Cognitive science; Artificial intelligence; Psychology; Political science","score_opus":0.018396222898214114,"score_gpt":0.2742124586244325,"score_spread":0.25581623572621837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130252997","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073942314,0.00092485204,0.7572174,0.001233676,0.00023090641,0.0011169631,0.019211244,0.13728,0.07539078],"genre_scores_gemma":[0.07284614,0.0012671177,0.8097973,0.0011980172,0.00018906184,0.0012632518,0.06921981,0.006781942,0.037437428],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998044,0.00032063684,0.00021043204,0.00049111503,0.00079211884,0.00014161665],"domain_scores_gemma":[0.9980585,0.0004550234,0.00016423702,0.0007544844,0.00044697293,0.00012078153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001953571,0.0010174633,0.0012428843,0.0038168356,0.0013463259,0.0053886245,0.004602072,0.001713912,0.02323252],"category_scores_gemma":[0.0070631104,0.0011038865,0.001648333,0.0021204746,0.001107263,0.0067211525,0.0044345586,0.0026712853,0.012945418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070070615,0.0005130902,0.0011692187,0.0012481352,0.00032704417,0.00096703897,0.00061253976,0.02235535,0.011746402,0.22770235,0.3416793,0.39097878],"study_design_scores_gemma":[0.00037107032,0.00008836366,0.000856782,0.0003399477,0.00027157043,0.0007931544,0.00017103119,0.19031051,0.014821567,0.11746808,0.6743389,0.00016893868],"about_ca_topic_score_codex":0.011317776,"about_ca_topic_score_gemma":0.010967152,"teacher_disagreement_score":0.02323252,"about_ca_system_score_codex":0.0014019375,"about_ca_system_score_gemma":0.0033468287,"threshold_uncertainty_score":0.07772052},"labels":[],"label_agreement":null},{"id":"W2130654908","doi":"10.1504/ijmso.2013.057768","title":"Exploiting the Arabic Wikipedia for semi-automatic construction of a lexical ontology","year":2013,"lang":"en","type":"article","venue":"International Journal of Metadata Semantics and Ontologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Computer science; Upper ontology; Arabic; Natural language processing; Suggested Upper Merged Ontology; Ontology-based data integration; Core (optical fiber); Information retrieval; Ontology Inference Layer; Ontology alignment; Process ontology; Artificial intelligence; Linguistics; OWL-S; Semantic Web; Semantic Web Stack","score_opus":0.026804571051716974,"score_gpt":0.27634272465372206,"score_spread":0.2495381536020051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130654908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014879776,0.00053879595,0.96394944,0.00035935696,0.00017305823,0.0005848053,0.0030553248,0.007942101,0.008517445],"genre_scores_gemma":[0.060640343,0.00041645096,0.9290241,0.000078575606,0.00004685154,0.00039459346,0.006565269,0.0007799703,0.0020538734],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982333,0.0005074235,0.00028869603,0.0003866689,0.00051732146,0.00006657851],"domain_scores_gemma":[0.9959519,0.0017798862,0.00036028298,0.00045280939,0.0012837487,0.00017129451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016997092,0.0011269179,0.0006382491,0.009499243,0.0015115617,0.0027914587,0.0009049269,0.00054973614,0.004703157],"category_scores_gemma":[0.0076912567,0.00057176594,0.001063563,0.003502009,0.0006081588,0.0046257866,0.0028528355,0.0010113877,0.0037876791],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021268155,0.00026816633,0.0052370355,0.0027927165,0.0002151937,0.0015031648,0.00414786,0.0047703465,0.05272772,0.04347415,0.031695895,0.8529551],"study_design_scores_gemma":[0.00011516453,0.00019234043,0.01130579,0.0018320944,0.00043582343,0.0028424622,0.0076579824,0.26168013,0.0713938,0.13484627,0.5073161,0.00038206912],"about_ca_topic_score_codex":0.003961745,"about_ca_topic_score_gemma":0.0058906833,"teacher_disagreement_score":0.009499243,"about_ca_system_score_codex":0.0007699864,"about_ca_system_score_gemma":0.0022155927,"threshold_uncertainty_score":0.01573366},"labels":[],"label_agreement":null},{"id":"W2131388603","doi":"10.1109/ccece.2008.4564551","title":"A practical ontology-based concept learning in MAS","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ontology; Key (lock); Ontology learning; Domain (mathematical analysis); Multi-agent system; Knowledge management; Upper ontology; Software agent; Process ontology; Domain knowledge; Data science; Software engineering; Suggested Upper Merged Ontology; Artificial intelligence","score_opus":0.0313900242039776,"score_gpt":0.23020916025462834,"score_spread":0.19881913605065074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131388603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004625893,0.00011686589,0.98765624,0.00058719533,0.00005894122,0.000098762495,0.000032517983,0.00027365147,0.0065499996],"genre_scores_gemma":[0.09411867,0.00019347746,0.89941335,0.00013103543,0.000050249244,0.00022539463,0.00009240435,0.000040433548,0.0057349266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989825,0.00039320314,0.00005916743,0.00016552757,0.00035786311,0.00004176257],"domain_scores_gemma":[0.99938834,0.00029654952,0.000030616888,0.00012435524,0.00011332892,0.000046866113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014606647,0.00030566117,0.0003428727,0.000497131,0.0011650864,0.001622098,0.0011929441,0.0009312654,0.0046684826],"category_scores_gemma":[0.0039822,0.00025348435,0.00065605604,0.0006783188,0.0013646426,0.0028746035,0.0023821013,0.0012881474,0.0009496925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047604197,0.000126355,0.0003964307,0.0001550897,0.00003340464,0.00019054851,0.0006297745,0.050424524,0.0033739489,0.66284484,0.00490675,0.2768708],"study_design_scores_gemma":[0.000042053347,0.000054214794,0.00015149523,0.00005416911,0.000017459466,0.00019081571,0.00015929085,0.5498146,0.003113542,0.3988199,0.047556896,0.000025574891],"about_ca_topic_score_codex":0.0025571138,"about_ca_topic_score_gemma":0.0027955926,"teacher_disagreement_score":0.0046684826,"about_ca_system_score_codex":0.00068877276,"about_ca_system_score_gemma":0.0012930386,"threshold_uncertainty_score":0.015617609},"labels":[],"label_agreement":null},{"id":"W2131398643","doi":"10.1145/1368088.1368092","title":"Answering conceptual queries with Ferret","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Information retrieval; Data science","score_opus":0.03314523179199017,"score_gpt":0.21333622470237718,"score_spread":0.180190992910387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131398643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018325223,0.0005310076,0.9459702,0.004456417,0.00033452772,0.00035257533,0.0018735253,0.011825646,0.016330913],"genre_scores_gemma":[0.1966627,0.0008249053,0.77104604,0.0018452884,0.00033007492,0.0006543201,0.0069642817,0.0025914204,0.019080967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.989791,0.0035254487,0.000947194,0.002032241,0.0030181073,0.0006859851],"domain_scores_gemma":[0.97992134,0.011722486,0.0007516114,0.0042123864,0.0028261738,0.0005660933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00891828,0.0016146601,0.0016106049,0.0047900295,0.003591066,0.007838292,0.0036405863,0.0039056358,0.02110338],"category_scores_gemma":[0.043888625,0.0013996203,0.0026518977,0.0037682464,0.0040409053,0.028322697,0.01073687,0.003733474,0.0041422565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096139463,0.00042364368,0.0041866717,0.00085746247,0.00016709258,0.00071787165,0.005724024,0.018244006,0.004498431,0.6354035,0.06719786,0.26161805],"study_design_scores_gemma":[0.00016931696,0.00008681462,0.0004115285,0.00022143283,0.000101371785,0.0003557343,0.0022564908,0.14061198,0.008333469,0.70837533,0.13896184,0.00011471329],"about_ca_topic_score_codex":0.0095172245,"about_ca_topic_score_gemma":0.012866067,"teacher_disagreement_score":0.02110338,"about_ca_system_score_codex":0.0037935348,"about_ca_system_score_gemma":0.0029238835,"threshold_uncertainty_score":0.07059783},"labels":[],"label_agreement":null},{"id":"W2131822530","doi":"10.1016/j.compind.2010.05.004","title":"A semantic approach to a framework for business domain software systems","year":2010,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"University of Toronto; Yale University","keywords":"Semantics of Business Vocabulary and Business Rules; Computer science; Business rule; Business logic; Business domain; Software engineering; Business information; Ontology; Business process modeling; Domain (mathematical analysis); Information extraction; Artifact-centric business process model; Business process; Knowledge management; Programming language; Information retrieval; Engineering","score_opus":0.028148894930556456,"score_gpt":0.26972225651512755,"score_spread":0.2415733615845711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131822530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031499513,0.0006780543,0.97622377,0.00365441,0.00020849233,0.00017660276,0.00025641304,0.00070421014,0.014948177],"genre_scores_gemma":[0.083048515,0.0009055021,0.9073076,0.0007025328,0.00025311764,0.00040580414,0.0007692156,0.00031045926,0.006297151],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971437,0.0010613995,0.00047282534,0.0003779179,0.0006789498,0.0002650853],"domain_scores_gemma":[0.997825,0.00072749617,0.00014779644,0.00057055725,0.00048300732,0.00024604413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045899167,0.0011137982,0.001112779,0.004507049,0.0039576585,0.008417593,0.0035095469,0.0036532294,0.0044306326],"category_scores_gemma":[0.0053383466,0.0013537168,0.0038167979,0.004247924,0.009009902,0.016091123,0.0044392957,0.0052550435,0.0013321165],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005008756,0.000012547096,0.000046606732,0.000029914769,0.00000812627,0.00005517601,0.00030722743,0.0011357599,0.00018354839,0.99303484,0.0011659599,0.0040152776],"study_design_scores_gemma":[0.000013468669,0.000011814228,0.000075412485,0.00007020828,0.000029667592,0.000108345186,0.00025516094,0.011937925,0.00043339937,0.932514,0.054532606,0.000017923057],"about_ca_topic_score_codex":0.013203294,"about_ca_topic_score_gemma":0.013011203,"teacher_disagreement_score":0.013203294,"about_ca_system_score_codex":0.0037299637,"about_ca_system_score_gemma":0.0062320475,"threshold_uncertainty_score":0.027062953},"labels":[],"label_agreement":null},{"id":"W2131916785","doi":"10.5334/2007-6","title":"Leveraging the Semantic Web for Adaptive Education","year":2007,"lang":"en","type":"article","venue":"Journal of Interactive Media in Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Interoperability; Semantic Web; Reusability; Social Semantic Web; Harmonization; Web standards; World Wide Web; Productivity; Representation (politics); Knowledge management; Web service; Software","score_opus":0.027053337910216763,"score_gpt":0.3236293645323859,"score_spread":0.29657602662216914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131916785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012897761,0.038175195,0.7169613,0.056318745,0.0047732503,0.00016186888,0.00013082978,0.0014670733,0.169114],"genre_scores_gemma":[0.39600828,0.05188369,0.4933816,0.0080951415,0.0052713226,0.00026301836,0.0004953966,0.0004448839,0.044156704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978404,0.00089612434,0.00020280253,0.0001811809,0.0007737735,0.0001056436],"domain_scores_gemma":[0.99658823,0.0025820073,0.00013104775,0.0003398937,0.0002540638,0.00010472338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043903515,0.00047903028,0.00041973492,0.002285919,0.00091798627,0.006710417,0.00093694986,0.002705923,0.004007363],"category_scores_gemma":[0.005272336,0.00032200242,0.0006587759,0.0026643972,0.0034833713,0.014820832,0.0032888926,0.0018445135,0.0012571297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032654247,0.000052662865,0.00041576906,0.0006876421,0.000038991253,0.00041501262,0.0013321242,0.002635901,0.0022331702,0.7537195,0.01452715,0.22390938],"study_design_scores_gemma":[0.000016364098,0.000024489074,0.0002306907,0.0003181014,0.000036075544,0.00039744822,0.00065147004,0.00944147,0.0019802905,0.57326317,0.41361,0.000030364346],"about_ca_topic_score_codex":0.0007658854,"about_ca_topic_score_gemma":0.0011544961,"teacher_disagreement_score":0.006710417,"about_ca_system_score_codex":0.0009795906,"about_ca_system_score_gemma":0.0016112576,"threshold_uncertainty_score":0.023218632},"labels":[],"label_agreement":null},{"id":"W2132938870","doi":"10.1109/icc.1989.49928","title":"A multimedia communications system for medical applications","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bell (Canada); University of Ottawa","funders":"","keywords":"Computer science; Multimedia; Workstation; Perspective (graphical); Service (business); Space (punctuation); World Wide Web; Medical physics; Medicine; Artificial intelligence; Operating system","score_opus":0.03284221392334709,"score_gpt":0.3026390028549645,"score_spread":0.2697967889316174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132938870","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00825845,0.004802612,0.6809731,0.0036596358,0.001592934,0.001814434,0.0064321384,0.14497322,0.14749344],"genre_scores_gemma":[0.1500889,0.0073456382,0.55796623,0.0053207898,0.002678295,0.0033781028,0.028169064,0.008573233,0.2364797],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985561,0.0002733705,0.00019031664,0.00017901523,0.00071082334,0.00009040665],"domain_scores_gemma":[0.9986827,0.00024120466,0.00008077472,0.00028215066,0.00050689426,0.00020634515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014884475,0.0010257688,0.00053987675,0.0026128453,0.0013174094,0.0037704452,0.001746984,0.0020589405,0.039188642],"category_scores_gemma":[0.003292108,0.0004337187,0.00040837194,0.0027090618,0.0005448215,0.0035793195,0.0023870582,0.0013940366,0.023456715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003318441,0.00015271765,0.00060480746,0.0006341158,0.00006205457,0.0006009298,0.000481466,0.0019301279,0.024234388,0.053056307,0.34118882,0.57672244],"study_design_scores_gemma":[0.00009419549,0.00011148823,0.0006833189,0.00016003432,0.000050183586,0.0007157441,0.00009156422,0.022403602,0.013329977,0.016861979,0.94542545,0.000072505965],"about_ca_topic_score_codex":0.0021057043,"about_ca_topic_score_gemma":0.0014893877,"teacher_disagreement_score":0.039188642,"about_ca_system_score_codex":0.0009908609,"about_ca_system_score_gemma":0.0015032558,"threshold_uncertainty_score":0.1310991},"labels":[],"label_agreement":null},{"id":"W2133303102","doi":"10.6000/1929-6029.2012.01.02.06","title":"Ontology Based Statistical Automated Inference - New Approach to Artificial Intelligence","year":2012,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Bridging (networking); Inference; Semantic Web; Natural language processing; Statistical inference; Knowledge representation and reasoning; Artificial intelligence; Ontology Inference Layer; Information retrieval; OWL-S; Social Semantic Web; Mathematics; Statistics","score_opus":0.20805800181012954,"score_gpt":0.5030199476678145,"score_spread":0.294961945857685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133303102","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00057065126,0.0009981396,0.9934196,0.0011015342,0.00011113044,0.00004407326,0.00015554216,0.00036702066,0.0032323739],"genre_scores_gemma":[0.083401345,0.004485233,0.90530705,0.00095255807,0.0008843174,0.00036633684,0.00082163187,0.00027977367,0.00350168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923649,0.0031168126,0.0007057138,0.0011906333,0.00242481,0.00019716696],"domain_scores_gemma":[0.9845977,0.010150869,0.00068862387,0.0029743826,0.0013375279,0.0002508548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009028104,0.0012398822,0.0025220395,0.0065182275,0.0012964618,0.008186016,0.0045336173,0.0021884474,0.003965169],"category_scores_gemma":[0.018460264,0.0011201553,0.004044811,0.0051071714,0.00645011,0.011049556,0.005100636,0.004442787,0.0012711146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023121873,0.00006430409,0.0007192455,0.0004957272,0.00025233906,0.00023867094,0.00037838263,0.020989958,0.00051851175,0.88639104,0.004397201,0.085531406],"study_design_scores_gemma":[0.000007052409,0.0000090266485,0.00012967983,0.00006879387,0.000028418526,0.00008383218,0.000054194043,0.06280578,0.0002517479,0.9224779,0.014062646,0.000020993291],"about_ca_topic_score_codex":0.003394855,"about_ca_topic_score_gemma":0.0027967773,"teacher_disagreement_score":0.009028104,"about_ca_system_score_codex":0.002428279,"about_ca_system_score_gemma":0.0034598163,"threshold_uncertainty_score":0.047745764},"labels":[],"label_agreement":null},{"id":"W2133343243","doi":"10.14778/1920841.1921042","title":"QUICK","year":2010,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Numbering; Computer science; Schema (genetic algorithms); Information retrieval; Semantic Web; World Wide Web; Linked data; Programming language","score_opus":0.008614527310647397,"score_gpt":0.21608670940417116,"score_spread":0.20747218209352375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133343243","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015905624,0.002301557,0.01807471,0.007538096,0.008480662,0.00058124255,0.030079339,0.014705605,0.9166482],"genre_scores_gemma":[0.010152808,0.0026389174,0.0129494425,0.004845202,0.0014242409,0.00026707712,0.03040227,0.0047605406,0.93255955],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988827,0.00013973172,0.00006617742,0.0002484686,0.0005460961,0.00011683176],"domain_scores_gemma":[0.995849,0.00079624116,0.00016852368,0.0008755121,0.0017589867,0.00055167585],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012820599,0.0009758529,0.0007887866,0.003383865,0.0019615402,0.0066671437,0.002735685,0.002383601,0.8492091],"category_scores_gemma":[0.008039958,0.00056961057,0.0008522447,0.0038669216,0.00072811247,0.006710754,0.004163003,0.0019184522,0.66304827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000823902,0.0000430466,0.00036330428,0.0003380879,0.000009502495,0.00010281151,0.00011767461,0.00014001859,0.0004705667,0.011705386,0.8329434,0.1536837],"study_design_scores_gemma":[0.00001020335,0.000010295296,0.00024176009,0.000059625963,0.0000036690778,0.00007514905,0.00007043595,0.000097881515,0.00021057168,0.0026766974,0.99653614,0.000007620035],"about_ca_topic_score_codex":0.003143039,"about_ca_topic_score_gemma":0.0053227297,"teacher_disagreement_score":0.15079093,"about_ca_system_score_codex":0.0013084313,"about_ca_system_score_gemma":0.0022690357,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2135472448","doi":"10.1007/0-387-29766-9_17","title":"An Ontology for Static Knowledge Provenance","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Provenance; Web Ontology Language; Theoretical computer science; Information retrieval; Semantic Web; Knowledge management; Epistemology","score_opus":0.029719225880960043,"score_gpt":0.2847335722489315,"score_spread":0.25501434636797143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135472448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015410505,0.0013096936,0.9686459,0.001708912,0.0005219246,0.00016621979,0.00040801617,0.0005702496,0.025128186],"genre_scores_gemma":[0.0762343,0.0051626703,0.8953646,0.0007854393,0.0005405122,0.00050040724,0.0016513187,0.00036037946,0.019400463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99540085,0.0010873897,0.00066532847,0.00070614804,0.0018450081,0.00029526264],"domain_scores_gemma":[0.9960408,0.0009604588,0.00035504947,0.0013572925,0.0010307782,0.00025560896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058549186,0.00064785435,0.0009172112,0.004455265,0.0034546054,0.0075845127,0.0025150306,0.002529311,0.003667655],"category_scores_gemma":[0.007910367,0.00080528366,0.0017466048,0.0057527525,0.005199047,0.017224751,0.0048496816,0.004113032,0.0014146421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061997816,0.000011422517,0.00011337394,0.000078602716,0.000008229841,0.00011596451,0.0004839014,0.0012878514,0.00041759168,0.9691528,0.0027609654,0.025563063],"study_design_scores_gemma":[0.000009565074,0.000014591632,0.00014359651,0.00020896297,0.000032453227,0.0005882792,0.00027871176,0.011981963,0.0010240818,0.7194951,0.26618236,0.00004025599],"about_ca_topic_score_codex":0.0062546176,"about_ca_topic_score_gemma":0.0049948613,"teacher_disagreement_score":0.0075845127,"about_ca_system_score_codex":0.0029711823,"about_ca_system_score_gemma":0.0066238116,"threshold_uncertainty_score":0.030964136},"labels":[],"label_agreement":null},{"id":"W2136003188","doi":"10.1002/bult.2015.1720410407","title":"Ontology engineering in the era of linked data","year":2015,"lang":"en","type":"article","venue":"Bulletin of the Association for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Ontology; Computer science; Ontology engineering; Usability; Domain (mathematical analysis); Semantic Web; Semantics (computer science); World Wide Web; Linked data; Upper ontology; Process ontology; Data science; IDEF5; Open Biomedical Ontologies; Ontology-based data integration; Software engineering; Suggested Upper Merged Ontology; Programming language; Human–computer interaction","score_opus":0.02628766374088936,"score_gpt":0.25514362327762624,"score_spread":0.22885595953673687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136003188","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00077136897,0.040761042,0.09513406,0.43918,0.39854425,0.000109631495,0.0005383755,0.00080680347,0.024154453],"genre_scores_gemma":[0.024052361,0.11892644,0.106198676,0.11460994,0.5589962,0.0003590517,0.0011357768,0.0013347197,0.07438685],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99482805,0.001641045,0.00067779864,0.0003375578,0.0023803334,0.00013534793],"domain_scores_gemma":[0.9622562,0.02041255,0.0014178429,0.001810101,0.012847106,0.0012561141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008701956,0.0005412277,0.0007068035,0.0030253113,0.0015887718,0.007096324,0.0017057859,0.0030718616,0.007892582],"category_scores_gemma":[0.04449766,0.0004596563,0.0009647199,0.002664978,0.0035204631,0.012080007,0.0026902796,0.008368542,0.0033268915],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017770435,0.000018410554,0.00012350947,0.00053600565,0.000025639916,0.00035387982,0.0003397737,0.00043185684,0.00019963086,0.08993456,0.82236546,0.085653506],"study_design_scores_gemma":[0.0000040754308,0.000006260855,0.000062655774,0.00032401847,0.0000072670564,0.00020688822,0.00010899893,0.00049141666,0.00012805666,0.03044755,0.96820027,0.000012603905],"about_ca_topic_score_codex":0.0019027259,"about_ca_topic_score_gemma":0.002952335,"teacher_disagreement_score":0.008701956,"about_ca_system_score_codex":0.0017827972,"about_ca_system_score_gemma":0.0026012014,"threshold_uncertainty_score":0.046020865},"labels":[],"label_agreement":null},{"id":"W2136120946","doi":"10.1109/icsmc.1990.142109","title":"A graph based knowledge retrieval system","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Conceptual graph; Prolog; Information retrieval; Graph; Knowledge graph; Knowledge representation and reasoning; Query language; Question answering; Artificial intelligence; Theoretical computer science","score_opus":0.03411012084459396,"score_gpt":0.2324743678869463,"score_spread":0.19836424704235234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136120946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012302318,0.001188955,0.8315525,0.0022049278,0.00032639035,0.0009851013,0.006156696,0.088993296,0.056289747],"genre_scores_gemma":[0.10952888,0.0016116807,0.8262055,0.0015057757,0.00014651552,0.0006838318,0.01603008,0.0017343725,0.042553324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937564,0.00011624366,0.00007175914,0.00019241359,0.00019771016,0.000046197147],"domain_scores_gemma":[0.9993456,0.00017213047,0.000032578617,0.00015817906,0.0002282497,0.00006329223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007420828,0.0005274322,0.0007184559,0.0024407592,0.001048729,0.0030600517,0.0019318803,0.0015058188,0.020992426],"category_scores_gemma":[0.0022240777,0.00038726712,0.00080485095,0.0021874749,0.00060812576,0.0036583375,0.0015789579,0.0010018647,0.017348917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000448524,0.00036939184,0.0010580594,0.0009774258,0.00011783031,0.0008645724,0.0005771275,0.022423377,0.03301718,0.12019625,0.16346239,0.6564879],"study_design_scores_gemma":[0.00032952797,0.00020823105,0.001070259,0.00014818482,0.00019561814,0.0013423403,0.00029563552,0.2053505,0.029957132,0.114510745,0.6464512,0.00014065813],"about_ca_topic_score_codex":0.0075749676,"about_ca_topic_score_gemma":0.0069306856,"teacher_disagreement_score":0.020992426,"about_ca_system_score_codex":0.001444746,"about_ca_system_score_gemma":0.0019659614,"threshold_uncertainty_score":0.07022667},"labels":[],"label_agreement":null},{"id":"W2136190424","doi":"10.1145/2740908.2742022","title":"What's in this paper?","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Workflow; Linked data; RDF; Information retrieval; Semantic Web; Task (project management); Construct (python library); Entity linking; Knowledge base; Named entity; Semantic search; Natural language processing; World Wide Web; Database; Programming language","score_opus":0.048748768231600376,"score_gpt":0.2741417308362887,"score_spread":0.2253929626046883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136190424","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043698787,0.029736308,0.010052337,0.4632548,0.27065298,0.00022256454,0.00202201,0.00082438154,0.2188647],"genre_scores_gemma":[0.09059927,0.043187235,0.01879621,0.2893002,0.09022825,0.00044987965,0.0039356407,0.0013752911,0.462128],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963117,0.00082478544,0.0002801178,0.0007383288,0.0013462282,0.00049888506],"domain_scores_gemma":[0.9888687,0.0016777588,0.00088225066,0.0011075927,0.005248422,0.0022152741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004910303,0.0006660904,0.0008614632,0.0017249526,0.0026881285,0.009999725,0.001917742,0.0042863456,0.12321508],"category_scores_gemma":[0.027059216,0.00023684677,0.0011286013,0.0019528852,0.0020562196,0.010233706,0.0034391352,0.004224603,0.07126029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104417806,0.000094794465,0.0029209945,0.00067420065,0.000052953317,0.001606204,0.0012431927,0.000102446436,0.0007033212,0.057587266,0.7671436,0.1677666],"study_design_scores_gemma":[0.000009419039,0.000017725813,0.0004436016,0.00051477924,0.000021400509,0.0015229348,0.0010315173,0.000072298804,0.00026107108,0.008872248,0.987212,0.000021102667],"about_ca_topic_score_codex":0.0025483754,"about_ca_topic_score_gemma":0.0024793728,"teacher_disagreement_score":0.12321508,"about_ca_system_score_codex":0.0035173197,"about_ca_system_score_gemma":0.005034446,"threshold_uncertainty_score":0.4121955},"labels":[],"label_agreement":null},{"id":"W2136458016","doi":"10.1109/icalt.2008.108","title":"A Global Ontology Space for Mobile Learning","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Ontology; Adaptation (eye); Context (archaeology); Semantic Web; Space (punctuation); Aggregate (composite); Human–computer interaction; World Wide Web","score_opus":0.024468815222414685,"score_gpt":0.27375729279834665,"score_spread":0.24928847757593198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136458016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001969912,0.0006444858,0.9864096,0.0008090381,0.00017630507,0.000069021065,0.00022477214,0.0004633022,0.009233484],"genre_scores_gemma":[0.14960144,0.0024951103,0.83506864,0.00067968096,0.00027340918,0.00043372842,0.0013646602,0.00030822284,0.00977507],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806327,0.0005270728,0.00019496636,0.00041750656,0.00063981535,0.00015727378],"domain_scores_gemma":[0.9989849,0.00022217154,0.000101766054,0.00035931976,0.00023049631,0.00010120538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001959257,0.0007770705,0.0007939281,0.001631948,0.001348052,0.004784109,0.0016168131,0.0015823895,0.003198928],"category_scores_gemma":[0.0026871392,0.000375203,0.0014767831,0.0021735542,0.002651232,0.008751219,0.0040668915,0.0028248013,0.0013912176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017348402,0.000028248185,0.00037583048,0.00015583528,0.000034890967,0.00014726199,0.0005978881,0.008628392,0.00129881,0.92409265,0.003658333,0.06096446],"study_design_scores_gemma":[0.000017921566,0.000055478333,0.00043620236,0.00020247315,0.00006992722,0.0004448551,0.0005774825,0.07399867,0.0021297839,0.6047936,0.31721884,0.000054888755],"about_ca_topic_score_codex":0.004266705,"about_ca_topic_score_gemma":0.0045743985,"teacher_disagreement_score":0.004784109,"about_ca_system_score_codex":0.001566058,"about_ca_system_score_gemma":0.0021350097,"threshold_uncertainty_score":0.011362553},"labels":[],"label_agreement":null},{"id":"W2136873264","doi":"10.1287/isre.1070.0140","title":"CONQUER: A Methodology for Context-Aware Query Processing on the World Wide Web","year":2008,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Georgia State University","keywords":"Computer science; Information retrieval; Web search query; Semantic search; Web query classification; Query expansion; Semantic Web; Semantics (computer science); Social Semantic Web; Query language; Context (archaeology); World Wide Web; Semantic query; Search engine","score_opus":0.38485623785829176,"score_gpt":0.427091059813948,"score_spread":0.042234821955656254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136873264","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012787544,0.00014168971,0.9937349,0.00024938735,0.0000306162,0.00026883703,0.00011705707,0.0021184627,0.0020603205],"genre_scores_gemma":[0.030055348,0.00024788143,0.96588266,0.0002027615,0.000043655138,0.0005007719,0.00039777183,0.0003652381,0.0023038608],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99423885,0.0020458717,0.00046265303,0.00091233425,0.0021145463,0.00022571834],"domain_scores_gemma":[0.9964167,0.0017610547,0.0002758632,0.0008306675,0.0005796284,0.00013605534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055346005,0.001266702,0.0012871596,0.004148686,0.0018046458,0.0045855744,0.0026118425,0.0014686399,0.004812138],"category_scores_gemma":[0.011172456,0.00097492995,0.0019252617,0.0035422356,0.0026541739,0.0069995713,0.0040525575,0.0029256064,0.0017259817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003169684,0.00029461336,0.001638394,0.00097362325,0.0002758461,0.00096206693,0.0037807284,0.019644829,0.019275527,0.41656423,0.017437939,0.5188352],"study_design_scores_gemma":[0.00014239723,0.00022066571,0.0008791533,0.00026488546,0.0001585253,0.0014883591,0.001756004,0.40174934,0.031606764,0.3457179,0.21581432,0.00020167448],"about_ca_topic_score_codex":0.0053314595,"about_ca_topic_score_gemma":0.008958342,"teacher_disagreement_score":0.0055346005,"about_ca_system_score_codex":0.0012615006,"about_ca_system_score_gemma":0.0023507322,"threshold_uncertainty_score":0.029270113},"labels":[],"label_agreement":null},{"id":"W2137583230","doi":"10.1109/hicss.2012.650","title":"Introduction to the Documenting Work and Working Documents Minitrack","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Work (physics); Engineering; Mechanical engineering","score_opus":0.020652685659416487,"score_gpt":0.257247660534611,"score_spread":0.2365949748751945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137583230","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028801567,0.24690719,0.13484657,0.09249904,0.04055243,0.0010343477,0.0026768583,0.0031648204,0.47543854],"genre_scores_gemma":[0.038396705,0.25690296,0.111702174,0.02788367,0.03551838,0.0019351031,0.0052044764,0.003024519,0.51943195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947202,0.0019988976,0.0005921327,0.00066703255,0.0017141378,0.00030743412],"domain_scores_gemma":[0.98602676,0.007214661,0.0009145161,0.0016670538,0.0025979702,0.001579126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00442756,0.0012189687,0.0008763624,0.0042533306,0.0034576256,0.01392979,0.0022843166,0.005576892,0.06191732],"category_scores_gemma":[0.011123618,0.0011199851,0.0007884281,0.007594368,0.0064060846,0.014336491,0.005229782,0.008286981,0.043578953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050211038,0.0000995261,0.00054500997,0.0013798244,0.0000093367935,0.0002028453,0.004337283,0.0002826822,0.001160169,0.19691968,0.4835579,0.31145552],"study_design_scores_gemma":[0.0000016823054,0.000015388616,0.00025773383,0.0005983559,0.0000012089017,0.00023492637,0.0003639357,0.000042796903,0.00006660933,0.008687089,0.98972017,0.000010132499],"about_ca_topic_score_codex":0.0036077113,"about_ca_topic_score_gemma":0.0027889062,"teacher_disagreement_score":0.06191732,"about_ca_system_score_codex":0.003349147,"about_ca_system_score_gemma":0.0047817077,"threshold_uncertainty_score":0.20713407},"labels":[],"label_agreement":null},{"id":"W2137883463","doi":"10.22329/il.v30i2.1192","title":"The Metaphoric Fallacy to a Deductive Inference","year":2010,"lang":"en","type":"article","venue":"Informal Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Fallacy; Analogy; Inference; Deductive reasoning; Epistemology; Set (abstract data type); Rule of inference; Computer science; Inductive reasoning; Cognitive science; Philosophy; Artificial intelligence; Psychology; Programming language","score_opus":0.01801547841746032,"score_gpt":0.279019675044014,"score_spread":0.26100419662655366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137883463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04672954,0.0015562442,0.8265889,0.041112587,0.0017128454,0.00019525288,0.00021418622,0.0011366279,0.080753714],"genre_scores_gemma":[0.78541386,0.0009919569,0.1998504,0.006038173,0.0006613213,0.00027068323,0.0002741669,0.0003815531,0.006117946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97484076,0.011689399,0.0018804885,0.002237097,0.008361138,0.0009911968],"domain_scores_gemma":[0.96413445,0.023622189,0.0016831494,0.0064744907,0.0036607431,0.00042491732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017330317,0.0009158637,0.0013973482,0.0032121532,0.0058933925,0.0058834474,0.0028973208,0.0056103133,0.004777711],"category_scores_gemma":[0.068965636,0.000989484,0.0015232575,0.0017607195,0.027933495,0.01585355,0.008453029,0.011276787,0.0011856948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003450963,0.000024244298,0.00031847093,0.00010835284,0.000022759428,0.0005248736,0.0021241654,0.00062312477,0.0004709111,0.98679835,0.0018799225,0.007070302],"study_design_scores_gemma":[0.000012453095,0.00001155728,0.00007890153,0.00004214568,0.000012180024,0.00035501458,0.00028831683,0.0020161052,0.0004732273,0.9880477,0.008649184,0.000013260816],"about_ca_topic_score_codex":0.0015716105,"about_ca_topic_score_gemma":0.0009133466,"teacher_disagreement_score":0.017330317,"about_ca_system_score_codex":0.0027395359,"about_ca_system_score_gemma":0.0023223415,"threshold_uncertainty_score":0.09165257},"labels":[],"label_agreement":null},{"id":"W2138657316","doi":"10.1109/tlt.2012.9","title":"Ontology Extraction Tools: An Empirical Study with Educators","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; Simon Fraser University","funders":"Athabasca University","keywords":"Ontology; Computer science; Domain (mathematical analysis); Ontology learning; Upper ontology; Data science; Process ontology; Empirical research; Information retrieval; Information extraction; Ontology-based data integration; World Wide Web; Knowledge management; Semantic Web; Suggested Upper Merged Ontology","score_opus":0.04537280766865238,"score_gpt":0.3298453082444168,"score_spread":0.28447250057576445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138657316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520445,0.0001596302,0.0021933294,0.00027945018,0.000008796238,0.00043115448,0.00008304401,0.00002763925,0.0016124677],"genre_scores_gemma":[0.988947,0.00058780564,0.0077450294,0.00030474723,0.000012106611,0.00059397385,0.0002183993,0.00003440692,0.0015565434],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9831807,0.008742992,0.0020135352,0.0014757246,0.00346755,0.0011193757],"domain_scores_gemma":[0.8323078,0.12758671,0.008833429,0.0051826783,0.021269172,0.004820228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030605186,0.0005858936,0.0009712207,0.004577843,0.0046754917,0.004216819,0.0014321752,0.0018414565,0.0021786233],"category_scores_gemma":[0.11422562,0.00071056816,0.00048347103,0.0036241882,0.0028856697,0.0057771835,0.0033743505,0.0025490143,0.0006715581],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037424426,0.0159238,0.33411425,0.0010403108,0.000055543776,0.002629913,0.52778524,0.00030151106,0.0026424704,0.0014195265,0.0022622496,0.11145093],"study_design_scores_gemma":[0.00021663563,0.0032124652,0.1519086,0.0010952965,0.00014514853,0.002481331,0.80057806,0.0029029043,0.0067652497,0.00093002454,0.029610166,0.00015418303],"about_ca_topic_score_codex":0.0050064586,"about_ca_topic_score_gemma":0.009467617,"teacher_disagreement_score":0.030605186,"about_ca_system_score_codex":0.0023696541,"about_ca_system_score_gemma":0.0037132527,"threshold_uncertainty_score":0.1618576},"labels":[],"label_agreement":null},{"id":"W2139478688","doi":"10.1007/978-3-540-39715-1_5","title":"Value-Added Metatagging: Ontology and Rule Based Methods for Smarter Metadata","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Metadata; Ontology; Information retrieval; World Wide Web","score_opus":0.04224071274964007,"score_gpt":0.3220160147674683,"score_spread":0.2797753020178282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139478688","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031802382,0.0002651336,0.99041754,0.00020279858,0.000091633665,0.000088563276,0.00030296855,0.0034625696,0.0019884692],"genre_scores_gemma":[0.047665298,0.00039327508,0.9460998,0.00020624137,0.00005204836,0.00012301198,0.0012819438,0.0006639287,0.0035145548],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950714,0.001395479,0.0005828283,0.00073680835,0.002069005,0.00014449826],"domain_scores_gemma":[0.9907414,0.004769285,0.00047258678,0.0026509801,0.0011957682,0.00017008273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072274213,0.0007555867,0.001300965,0.00349834,0.000772966,0.0046564047,0.0042174337,0.0015650623,0.0048326515],"category_scores_gemma":[0.015088323,0.000824677,0.0015899538,0.0048270435,0.0016486723,0.009439446,0.002926796,0.0026506456,0.0027044679],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024038064,0.0002991326,0.0014364816,0.00041297977,0.00015908552,0.00028558652,0.0012049332,0.00967222,0.010487073,0.11581634,0.010776649,0.8492092],"study_design_scores_gemma":[0.000091135946,0.00008291449,0.00096338737,0.00034759345,0.00031364098,0.0005423648,0.0005527356,0.45776552,0.05173206,0.40123415,0.086185634,0.00018884671],"about_ca_topic_score_codex":0.002834269,"about_ca_topic_score_gemma":0.0055519966,"teacher_disagreement_score":0.0072274213,"about_ca_system_score_codex":0.00089988316,"about_ca_system_score_gemma":0.0013368102,"threshold_uncertainty_score":0.03822273},"labels":[],"label_agreement":null},{"id":"W2139663937","doi":"10.1109/csew.2008.62","title":"A Service Oriented Ontology Management Framework in the Automotive Retail Domain","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ontology; Computer science; Automotive industry; Upper ontology; Ontology-based data integration; Interoperability; Web service; Process ontology; Service-oriented architecture; Service (business); OWL-S; Ontology Inference Layer; Ontology alignment; Semantic Web; Domain (mathematical analysis); World Wide Web; Software engineering; Engineering; Web standards; Business","score_opus":0.028309649801927253,"score_gpt":0.25025078356840375,"score_spread":0.2219411337664765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139663937","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059994203,0.00038898995,0.9805833,0.001506687,0.00015935236,0.0002015971,0.00012462882,0.0019873215,0.009048674],"genre_scores_gemma":[0.08046758,0.0008796512,0.9103814,0.00052463164,0.0000794948,0.00023448103,0.0006665514,0.00026650276,0.006499708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99851567,0.00038015298,0.00017453374,0.00020530885,0.00055625464,0.00016812717],"domain_scores_gemma":[0.99941444,0.00010661368,0.00004922295,0.00009417539,0.00020533224,0.00013032508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004422668,0.000453365,0.0004982451,0.0017242753,0.0017740737,0.0041817,0.0018486424,0.0015290107,0.0012648478],"category_scores_gemma":[0.0017575268,0.00044626772,0.0010818291,0.001608664,0.0018481408,0.0048573944,0.0019373298,0.0017403192,0.0007301227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047241654,0.00016931025,0.0005355032,0.000118548574,0.000031872914,0.0005111654,0.0011143282,0.011552372,0.0066918656,0.86777765,0.010921207,0.100528896],"study_design_scores_gemma":[0.00006206225,0.00009103727,0.00059769215,0.0002547721,0.000077620374,0.0008177173,0.0009706522,0.26242125,0.009448108,0.31182447,0.41332093,0.00011370828],"about_ca_topic_score_codex":0.017001526,"about_ca_topic_score_gemma":0.01749366,"teacher_disagreement_score":0.017001526,"about_ca_system_score_codex":0.0019948988,"about_ca_system_score_gemma":0.0051202467,"threshold_uncertainty_score":0.033805132},"labels":[],"label_agreement":null},{"id":"W2140219925","doi":"10.14288/sa.v1i1.186329","title":"DIY Journal: Introduction to OJS [workshop]","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Complement (music); Library science; Plan (archaeology); Computer science; Political science; Sociology; Geography","score_opus":0.05707513466595699,"score_gpt":0.3102510102824158,"score_spread":0.2531758756164588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140219925","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025676598,0.019431297,0.023220968,0.05251412,0.1551862,0.0012830509,0.008261707,0.009506908,0.72802806],"genre_scores_gemma":[0.0054403367,0.010583601,0.015009982,0.010565092,0.025324656,0.00042487288,0.006479017,0.0034207283,0.92275167],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988392,0.00014531553,0.00008866811,0.00014341874,0.0006265403,0.00015683836],"domain_scores_gemma":[0.99613476,0.00036181367,0.0001356417,0.00017825753,0.0009815532,0.002208065],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0022739873,0.0008873931,0.00061748107,0.003472266,0.0022009518,0.0068824734,0.0017979951,0.001865306,0.25374523],"category_scores_gemma":[0.003718439,0.00058653,0.0006788226,0.0023885008,0.0008560895,0.0039452007,0.0041612876,0.0032274628,0.16198713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020478625,0.000059338978,0.000058967835,0.000115246396,0.0000017041865,0.00004013147,0.00006737389,0.000034012977,0.00038391273,0.0012566358,0.94423676,0.05372529],"study_design_scores_gemma":[0.0000039394367,0.000010012451,0.00021549084,0.00005721533,8.021614e-7,0.00004661325,0.00006354709,0.000015622672,0.000052629115,0.00052685436,0.99900156,0.000005758798],"about_ca_topic_score_codex":0.0024116063,"about_ca_topic_score_gemma":0.0114538325,"teacher_disagreement_score":0.9931175,"about_ca_system_score_codex":0.0012779837,"about_ca_system_score_gemma":0.0033890344,"threshold_uncertainty_score":0.84886235},"labels":[],"label_agreement":null},{"id":"W2140302114","doi":"","title":"The combined approach to query answering in DL-Lite","year":2010,"lang":"en","type":"article","venue":"BIROn (Birkbeck, University of London)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":174,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Rewriting; Relational database management system; Query language; Conjunctive query; Ontology; Succinctness; Query optimization; Sargable; Information retrieval; Relational database; Database; Theoretical computer science; Programming language; Web search query; Search engine","score_opus":0.009299194170360748,"score_gpt":0.18670434130314567,"score_spread":0.17740514713278493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140302114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024255163,0.0006333468,0.9887815,0.001181227,0.00010349026,0.00014743283,0.00032293753,0.002427348,0.003977217],"genre_scores_gemma":[0.07234037,0.0007327051,0.9156148,0.0013431038,0.0002205736,0.00022898019,0.0012508262,0.0005844677,0.007684163],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9885456,0.003463492,0.0013555859,0.0018253182,0.0042571384,0.0005529042],"domain_scores_gemma":[0.99097073,0.002661164,0.0002516578,0.0042027514,0.0016545703,0.00025911987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057543125,0.0008993573,0.0014231441,0.0026399875,0.0011548706,0.007509603,0.0043152696,0.0022076208,0.008153364],"category_scores_gemma":[0.013803008,0.0010716394,0.0025430128,0.0036016754,0.0017082269,0.010623975,0.008864578,0.0043782066,0.0039931755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040256704,0.0004450789,0.0016646015,0.0013115017,0.00043484994,0.0007964646,0.0013976803,0.027562397,0.02506038,0.40590587,0.02752673,0.5074919],"study_design_scores_gemma":[0.00011643556,0.00016771942,0.0005589779,0.00012153553,0.00026021028,0.0010683602,0.0006693153,0.47847453,0.027708039,0.31940255,0.17131281,0.00013953426],"about_ca_topic_score_codex":0.005123192,"about_ca_topic_score_gemma":0.00792799,"teacher_disagreement_score":0.008153364,"about_ca_system_score_codex":0.0018753202,"about_ca_system_score_gemma":0.0018851983,"threshold_uncertainty_score":0.030432045},"labels":[],"label_agreement":null},{"id":"W2140358540","doi":"10.1109/icdew.2013.6547415","title":"SESM: Semantic enrichment of schema mappings","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Schema (genetic algorithms); Conceptual schema; Data integration; IDEF1X; Data exchange; Semantic heterogeneity; Information retrieval; Semantic integration; Semantics (computer science); Data mining; Semantic computing; Programming language; Semantic Web; Database; Ontology-based data integration","score_opus":0.012844866634851165,"score_gpt":0.22027435947700835,"score_spread":0.2074294928421572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140358540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009447775,0.00019822072,0.9757061,0.00051220646,0.00012057601,0.00024943266,0.0008434639,0.008792096,0.004130095],"genre_scores_gemma":[0.10333404,0.00034568668,0.8865397,0.00038297722,0.00005109831,0.00024544247,0.004220231,0.001157727,0.0037230146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947161,0.0021995448,0.00052305165,0.0006436726,0.001708445,0.00020910945],"domain_scores_gemma":[0.9929848,0.0022074447,0.00035824452,0.00323242,0.0011020154,0.00011508995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066580456,0.0010552141,0.00075086154,0.0035504252,0.001031427,0.0023002678,0.0018565782,0.0010605247,0.006067558],"category_scores_gemma":[0.016295368,0.0009081149,0.0022315066,0.0032941364,0.0013057671,0.008444094,0.0064076604,0.002432059,0.002325324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004897633,0.00036594504,0.006094456,0.0011761462,0.00030070197,0.0016366051,0.0018340282,0.020640219,0.019766098,0.4223922,0.026241813,0.49906197],"study_design_scores_gemma":[0.00009974981,0.00016384573,0.0015497564,0.00043682946,0.0002311956,0.0015658262,0.00066266395,0.29827926,0.070336446,0.40677285,0.219805,0.00009656095],"about_ca_topic_score_codex":0.0010162062,"about_ca_topic_score_gemma":0.0016912356,"teacher_disagreement_score":0.0066580456,"about_ca_system_score_codex":0.0008372551,"about_ca_system_score_gemma":0.0016476898,"threshold_uncertainty_score":0.035211563},"labels":[],"label_agreement":null},{"id":"W2140361676","doi":"10.1109/coginf.2007.4341931","title":"A Tool for Dynamic Knowledge Modeling","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Software engineering; Knowledge modeling; Protégé; Domain knowledge; Knowledge engineering; Ontology; Knowledge-based systems; Semantic Web; Knowledge management; Artificial intelligence","score_opus":0.030145069570149015,"score_gpt":0.3115514245935382,"score_spread":0.2814063550233892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140361676","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006727914,0.00010158308,0.97810936,0.00019647674,0.00006167762,0.00018978056,0.00061313086,0.015975304,0.004079983],"genre_scores_gemma":[0.019902188,0.00039912752,0.96495515,0.00021770953,0.000036271842,0.000666214,0.0037817596,0.0030655547,0.006975956],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970048,0.00049524975,0.0004718258,0.00063207786,0.001203088,0.0001929061],"domain_scores_gemma":[0.9963206,0.0016932561,0.0002041846,0.0010186231,0.0005675136,0.00019583148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038797983,0.0017497512,0.0012376285,0.0041717794,0.0019231288,0.006722585,0.0043929475,0.0025520325,0.015128789],"category_scores_gemma":[0.008507023,0.0022508458,0.003463583,0.0023226023,0.0015760185,0.009192295,0.006523142,0.0042818193,0.0066953464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002772593,0.0003737541,0.0018012527,0.0013957163,0.0002834807,0.0012155348,0.0028514487,0.036180057,0.012105307,0.4312409,0.057206552,0.4550688],"study_design_scores_gemma":[0.000111720154,0.00007152872,0.00033455197,0.00050859194,0.00015333551,0.00096392276,0.00029659,0.21196268,0.014522168,0.1410535,0.6298558,0.00016552855],"about_ca_topic_score_codex":0.004674447,"about_ca_topic_score_gemma":0.0057036784,"teacher_disagreement_score":0.015128789,"about_ca_system_score_codex":0.0016278062,"about_ca_system_score_gemma":0.0030287188,"threshold_uncertainty_score":0.05061084},"labels":[],"label_agreement":null},{"id":"W2140392667","doi":"10.1016/s1386-5056(02)00076-x","title":"Leveraging XML-based electronic medical records to extract experiential clinical knowledge","year":2002,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; XML; Case-based reasoning; The Internet; Artificial intelligence; World Wide Web","score_opus":0.05843567671238055,"score_gpt":0.381981678030371,"score_spread":0.32354600131799044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140392667","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37035647,0.0050214673,0.5520355,0.0067731133,0.00052242563,0.0015710683,0.026396574,0.0043271757,0.03299621],"genre_scores_gemma":[0.5766698,0.002746035,0.3947854,0.00052867166,0.00017255018,0.00032879136,0.021831835,0.00010380549,0.0028331198],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843687,0.00039838068,0.00035600577,0.00023123094,0.0005043251,0.00007317855],"domain_scores_gemma":[0.9908983,0.006245736,0.00080228964,0.00079150335,0.0011037228,0.0001583801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826569,0.00043000237,0.00038407012,0.005501249,0.0004088364,0.0026742686,0.00084024656,0.0009062993,0.0017918778],"category_scores_gemma":[0.015125606,0.00020986989,0.0005461445,0.004513457,0.00042459267,0.0027441008,0.001338233,0.0007957887,0.0010404448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007347716,0.00090046576,0.045340054,0.0024133648,0.00034527184,0.0030257718,0.007831452,0.0055998308,0.01973727,0.01569235,0.0105113,0.8878681],"study_design_scores_gemma":[0.00048576403,0.0012492723,0.1639714,0.005965577,0.0026590312,0.012856162,0.01842499,0.2062236,0.114911824,0.19555746,0.2771098,0.00058513053],"about_ca_topic_score_codex":0.0026547837,"about_ca_topic_score_gemma":0.0043771197,"teacher_disagreement_score":0.005501249,"about_ca_system_score_codex":0.00059536565,"about_ca_system_score_gemma":0.001836192,"threshold_uncertainty_score":0.009659946},"labels":[],"label_agreement":null},{"id":"W2140521499","doi":"10.1109/icde.1991.131507","title":"Inferential modelling technique for constructing second generation knowledge based systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence","score_opus":0.0936705543205036,"score_gpt":0.26664796323436574,"score_spread":0.17297740891386215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140521499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00057885237,0.000060871374,0.99691063,0.00016347262,0.000020559797,0.000032753134,0.000052932133,0.00033294645,0.0018470488],"genre_scores_gemma":[0.050640065,0.000262771,0.94531107,0.00011578436,0.000052489482,0.0002685426,0.0003045471,0.000103968436,0.0029406918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978296,0.0008469579,0.00016715996,0.00026781874,0.0007965536,0.000091819034],"domain_scores_gemma":[0.99730337,0.0017353842,0.00013944163,0.00048233033,0.00030303327,0.000036374695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033673358,0.00090834993,0.00071773934,0.0024356814,0.0009500196,0.003170372,0.0017899411,0.001454655,0.00794116],"category_scores_gemma":[0.007918837,0.000516559,0.0020914834,0.0016827055,0.0017970223,0.0052001094,0.0020181916,0.0022087502,0.0018358809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034573844,0.000037677662,0.0003023482,0.0002115904,0.00006831906,0.00040177855,0.0009198837,0.029954726,0.0026624268,0.8422067,0.0033458262,0.1198542],"study_design_scores_gemma":[0.000029350429,0.000041589374,0.00017145257,0.00010799012,0.00005768438,0.00041687716,0.0001387143,0.39533013,0.0055161878,0.54194486,0.056206346,0.000038820977],"about_ca_topic_score_codex":0.0015841593,"about_ca_topic_score_gemma":0.0014985728,"teacher_disagreement_score":0.00794116,"about_ca_system_score_codex":0.0014721083,"about_ca_system_score_gemma":0.0011419153,"threshold_uncertainty_score":0.02656579},"labels":[],"label_agreement":null},{"id":"W2141047949","doi":"10.1109/dexa.2008.131","title":"ECQ: A Simple Query Language for the Semantic Web","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ryerson University","keywords":"Computer science; Semantic reasoner; Conjunctive query; Description logic; Semantic Web; Scalability; Simple (philosophy); Semantic Web Rule Language; Ontology; Syntax; Web Ontology Language; Query language; Information retrieval; Ontology language; Programming language; World Wide Web; Natural language processing; Semantic Web Stack; Artificial intelligence; Semantic analytics; Database","score_opus":0.02987849606972017,"score_gpt":0.26675639603971135,"score_spread":0.23687789996999117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141047949","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018838681,0.000378722,0.9702754,0.0008237702,0.00024785896,0.00051405054,0.0033965474,0.017961537,0.004518277],"genre_scores_gemma":[0.055426966,0.0012554743,0.9109158,0.002984343,0.00028148174,0.0012770646,0.012417817,0.0057587153,0.009682342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.994337,0.0012548647,0.0009998841,0.0006859635,0.0023653028,0.00035697856],"domain_scores_gemma":[0.9951624,0.0021860532,0.00032655516,0.0007784506,0.0012888733,0.00025766797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006385767,0.0010571762,0.0011991337,0.0019697046,0.0011937034,0.0042241034,0.0028606795,0.002099752,0.009183974],"category_scores_gemma":[0.010152191,0.00094693905,0.0016988858,0.002640231,0.002534476,0.007639036,0.0041938773,0.0024810254,0.0052061863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009811629,0.00028527091,0.0016966601,0.002308417,0.00021961752,0.001771437,0.00238533,0.015124199,0.0322998,0.46736452,0.18048212,0.29508147],"study_design_scores_gemma":[0.00025338735,0.00018019885,0.00055614195,0.00030560984,0.00010321584,0.001590724,0.00038870852,0.12356705,0.01919898,0.16823429,0.6853512,0.0002705051],"about_ca_topic_score_codex":0.007980808,"about_ca_topic_score_gemma":0.005834443,"teacher_disagreement_score":0.009183974,"about_ca_system_score_codex":0.0013777117,"about_ca_system_score_gemma":0.002830848,"threshold_uncertainty_score":0.033771574},"labels":[],"label_agreement":null},{"id":"W2141075730","doi":"","title":"A GENERAL ARCHITECTURE TO ENHANCE WIKI SYSTEMS WITH NATURAL LANGUAGE PROCESSING TECHNIQUES","year":2012,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; World Wide Web; Semantic Web Stack; Syntax; Architecture; Semantic Web; Web service; Natural language; Social Semantic Web; Artificial intelligence","score_opus":0.014842054398455538,"score_gpt":0.2802515591217725,"score_spread":0.265409504723317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141075730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005242932,0.0002506479,0.9628797,0.00052351673,0.000092307724,0.0005518337,0.00016267921,0.021015836,0.009280566],"genre_scores_gemma":[0.034940857,0.0005106401,0.9485162,0.00027042284,0.00006491701,0.0004137635,0.0007072896,0.0010626523,0.013513299],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998381,0.00029380448,0.00017469986,0.00042620825,0.0005365858,0.00018760945],"domain_scores_gemma":[0.9983759,0.00023957693,0.000096240656,0.00056260516,0.0005023518,0.00022331471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021429833,0.00096842326,0.00066518615,0.001687905,0.001350612,0.0039039743,0.0032423122,0.0019475132,0.005271136],"category_scores_gemma":[0.003229218,0.0012233189,0.0015637536,0.0014535484,0.0016400815,0.0070470492,0.0033945048,0.002617162,0.0056426926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004505054,0.0008780514,0.0039394475,0.0020896455,0.00025634948,0.0012770621,0.0053247777,0.032357924,0.11539227,0.27098453,0.042703357,0.52434605],"study_design_scores_gemma":[0.00012061776,0.0003936905,0.0019547255,0.00037448315,0.0002933572,0.0013676449,0.00045859627,0.21091834,0.07481897,0.065863736,0.643236,0.00019979103],"about_ca_topic_score_codex":0.0049525634,"about_ca_topic_score_gemma":0.005788855,"teacher_disagreement_score":0.005271136,"about_ca_system_score_codex":0.0011819201,"about_ca_system_score_gemma":0.002819199,"threshold_uncertainty_score":0.017633736},"labels":[],"label_agreement":null},{"id":"W2141097151","doi":"10.1017/s0269888910000330","title":"A quarter-century of <i>The Knowledge Engineering Review</i> : Introduction to the Special Issue","year":2011,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Content (measure theory); Computer science; Data science; World Wide Web; Engineering; History; Mathematics","score_opus":0.015431433212866589,"score_gpt":0.23231153625913847,"score_spread":0.2168801030462719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141097151","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00074855937,0.17454635,0.0028611936,0.26037854,0.5477171,0.000041982545,0.00019010824,0.00019124203,0.013324952],"genre_scores_gemma":[0.011779687,0.16492704,0.005126387,0.15219778,0.5922285,0.00015767352,0.0007374884,0.00047844287,0.072367005],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99393857,0.0013586208,0.00066063076,0.0006219486,0.0029431297,0.00047706586],"domain_scores_gemma":[0.9659313,0.007498495,0.0032630614,0.0015340141,0.017925978,0.0038471585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072961575,0.00087447895,0.0013696084,0.0041724173,0.002305997,0.012619523,0.0014240098,0.003983965,0.015121821],"category_scores_gemma":[0.024010813,0.00046837048,0.0009581375,0.004216779,0.0031442915,0.011120875,0.0029335609,0.0087155765,0.011556951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025905587,0.00002157778,0.00019490898,0.00050763146,0.000017412718,0.00006178946,0.00012962507,0.000027365042,0.00041655556,0.0066768816,0.9498944,0.04202593],"study_design_scores_gemma":[0.0000044095696,0.000026759644,0.00039870478,0.0004817949,0.00001521983,0.00015569935,0.00018882884,0.000043789132,0.0001803461,0.0037416383,0.9947471,0.000015840162],"about_ca_topic_score_codex":0.001375139,"about_ca_topic_score_gemma":0.0032251687,"teacher_disagreement_score":0.015121821,"about_ca_system_score_codex":0.0031573991,"about_ca_system_score_gemma":0.005187978,"threshold_uncertainty_score":0.050587535},"labels":[],"label_agreement":null},{"id":"W2141140574","doi":"10.22230/cjc.2008v33n4a2047","title":"Electronic Monuments (Electronic Mediations)","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Computer science","score_opus":0.015747593090012724,"score_gpt":0.2233293676500182,"score_spread":0.20758177456000548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141140574","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026168175,0.004069356,0.10791017,0.005166306,0.0020287614,0.00017105135,0.0007149223,0.0014816996,0.8522895],"genre_scores_gemma":[0.6007804,0.005033965,0.07068524,0.0010763829,0.0008513364,0.00019080052,0.001130092,0.00051569525,0.31973597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99613094,0.0013887644,0.00024489054,0.00047531395,0.001197232,0.0005628753],"domain_scores_gemma":[0.9963654,0.00095667253,0.00024937405,0.001837626,0.00038364792,0.00020721799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025570625,0.0005967186,0.0005519228,0.0024299081,0.0038036325,0.011358132,0.0028530837,0.002996015,0.0667104],"category_scores_gemma":[0.008180718,0.0006808346,0.0008610237,0.005072396,0.00555908,0.017259665,0.010820209,0.0024068053,0.008196422],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038180573,0.000037503563,0.0003337811,0.0001173948,0.000017317432,0.0003639472,0.0011362564,0.00034419866,0.00041185776,0.93398875,0.009712825,0.053498007],"study_design_scores_gemma":[0.000027054566,0.000026419859,0.0007241859,0.00028607453,0.00005811413,0.0011773236,0.002372985,0.002013931,0.0017495892,0.4180672,0.5734503,0.00004684687],"about_ca_topic_score_codex":0.0068238,"about_ca_topic_score_gemma":0.008136749,"teacher_disagreement_score":0.0667104,"about_ca_system_score_codex":0.0015272552,"about_ca_system_score_gemma":0.0023139096,"threshold_uncertainty_score":0.22316849},"labels":[],"label_agreement":null},{"id":"W2141272259","doi":"10.1109/icalt.2007.75","title":"Assisted Ontology Instantiation: a LearningKit perspective","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ontology; Computer science; Blueprint; Process ontology; Upper ontology; Perspective (graphical); Knowledge acquisition; Suggested Upper Merged Ontology; Ontology-based data integration; Formal ontology; Knowledge management; Data science; Software engineering; Artificial intelligence; Domain knowledge; Engineering; Epistemology","score_opus":0.024947208391115798,"score_gpt":0.2970118626739003,"score_spread":0.2720646542827845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141272259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011521204,0.00019451742,0.9688551,0.002311439,0.00003893447,0.00018089358,0.00007949543,0.0019535862,0.014864845],"genre_scores_gemma":[0.24498504,0.00039707104,0.73946196,0.00081704464,0.00008894825,0.00027537937,0.00047254906,0.0005754597,0.01292658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99186665,0.0042315377,0.00039543846,0.0009853629,0.0020354097,0.00048573845],"domain_scores_gemma":[0.9846458,0.0076174135,0.000707001,0.0051697018,0.0012657596,0.000594343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005954881,0.00065061933,0.00093500846,0.0017470322,0.0015674303,0.006652116,0.004166691,0.003840958,0.006030626],"category_scores_gemma":[0.020248365,0.00089621195,0.0010538824,0.0014168931,0.0044886936,0.013001245,0.00703257,0.0035685757,0.0023622944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016902722,0.00072775455,0.0038470377,0.0005300759,0.00011287872,0.0010395802,0.0050841323,0.020888697,0.013455491,0.5240391,0.009619612,0.42048663],"study_design_scores_gemma":[0.0000685373,0.0001594186,0.001378123,0.00023901276,0.000060196176,0.0013038241,0.0015568655,0.2523726,0.025436282,0.5884522,0.12884326,0.00012950115],"about_ca_topic_score_codex":0.0020116388,"about_ca_topic_score_gemma":0.0025761935,"teacher_disagreement_score":0.006652116,"about_ca_system_score_codex":0.0013963139,"about_ca_system_score_gemma":0.0021497828,"threshold_uncertainty_score":0.03149277},"labels":[],"label_agreement":null},{"id":"W2142128908","doi":"","title":"Automata-Based Abduction for Tractable Diagnosis.","year":2010,"lang":"en","type":"article","venue":"Description Logics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Inference; Abductive reasoning; Axiom; Domain (mathematical analysis); Theoretical computer science; Complete information; Automaton; Artificial intelligence; Non-monotonic logic; Representation (politics); Interpretation (philosophy); Monotonic function; Machine learning; Programming language; Mathematical economics; Mathematics","score_opus":0.0428340268826681,"score_gpt":0.26561226165681395,"score_spread":0.22277823477414585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142128908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014193219,0.00017253282,0.99541926,0.0002736318,0.000031835352,0.00011085656,0.000120974335,0.00071169523,0.0017399832],"genre_scores_gemma":[0.102221854,0.0004502227,0.8927717,0.00030326843,0.000061567785,0.0005404092,0.00065407285,0.00016856186,0.0028283542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99608815,0.0011455072,0.00047191602,0.0009008392,0.0011737071,0.00021992646],"domain_scores_gemma":[0.98966295,0.00766035,0.00053471414,0.0014632818,0.0005686856,0.00011002709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039866525,0.0016216642,0.0010608961,0.0020115047,0.0010197549,0.0029556185,0.0028227577,0.0018313559,0.0076978174],"category_scores_gemma":[0.016600735,0.0011435138,0.004552469,0.0013020377,0.0037430918,0.0041674273,0.0055511883,0.004593375,0.0018010795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001985737,0.00013328048,0.0010872737,0.0010356056,0.0002611858,0.0004950134,0.0005553476,0.22443691,0.0070912745,0.5873452,0.003785004,0.17357542],"study_design_scores_gemma":[0.00004721903,0.000048363327,0.000083930776,0.00012479807,0.000072105555,0.0001884781,0.00007206472,0.5297327,0.0057091815,0.45490357,0.008988002,0.00002953663],"about_ca_topic_score_codex":0.002857573,"about_ca_topic_score_gemma":0.0038720202,"teacher_disagreement_score":0.0076978174,"about_ca_system_score_codex":0.0026147857,"about_ca_system_score_gemma":0.0027343326,"threshold_uncertainty_score":0.02575177},"labels":[],"label_agreement":null},{"id":"W2142963442","doi":"10.1177/0165551508100383","title":"An empirical comparison of ontology matching techniques","year":2009,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministry of Education, Libya","keywords":"Computer science; Matching (statistics); Ontology alignment; Ontology; Task (project management); Process (computing); Feature (linguistics); Data mining; Quality (philosophy); Feature matching; Information retrieval; Machine learning; Artificial intelligence; Feature extraction; Semantic Web; Ontology-based data integration; Mathematics","score_opus":0.036186792430244245,"score_gpt":0.39071062067732193,"score_spread":0.3545238282470777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142963442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7577694,0.027865421,0.16680129,0.0014342894,0.00058511295,0.0010376693,0.0066088326,0.0050179223,0.03288012],"genre_scores_gemma":[0.84813964,0.004914346,0.13419779,0.00016270034,0.00012524174,0.00031865633,0.008893391,0.00071753014,0.0025306607],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.96232784,0.0152491825,0.0037491685,0.003934558,0.013942942,0.0007962603],"domain_scores_gemma":[0.81128395,0.14882122,0.0076486617,0.01481358,0.016469356,0.0009631248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02298976,0.0008046953,0.00081537216,0.013114136,0.0012790901,0.0023197103,0.0019073869,0.0017667204,0.0030853446],"category_scores_gemma":[0.16480301,0.0003440921,0.0011833772,0.014522253,0.0009805649,0.005834092,0.0024700572,0.0010152676,0.0013245095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001607522,0.0009687948,0.09720678,0.004188376,0.0013984792,0.00031342913,0.0019979498,0.018361285,0.008078281,0.0076467437,0.015011049,0.84322137],"study_design_scores_gemma":[0.0005950882,0.0037659253,0.3928699,0.002081975,0.0030535285,0.0074284114,0.012054826,0.37821957,0.04367568,0.03251743,0.12334113,0.0003966286],"about_ca_topic_score_codex":0.002204212,"about_ca_topic_score_gemma":0.0027870927,"teacher_disagreement_score":0.02298976,"about_ca_system_score_codex":0.0012465656,"about_ca_system_score_gemma":0.0010529582,"threshold_uncertainty_score":0.121582925},"labels":[],"label_agreement":null},{"id":"W2143750202","doi":"10.22230/src.2015v6n2a212","title":"An Entity By Any Other Name: Linked Open Data as a Basis for a Decentered, Dynamic Scholarly Publishing Ecology","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Compute Canada; University of Guelph; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Publishing; World Wide Web; Scholarly communication; Open data; Linked data; Data publishing; State (computer science); Data science; Computer science; Ecology; Political science; Library science; Knowledge management; Semantic Web; Biology","score_opus":0.25750126349419195,"score_gpt":0.4554372779424062,"score_spread":0.19793601444821424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143750202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008914206,0.0038199616,0.49225622,0.1601346,0.007236128,0.0003281675,0.00054234505,0.0018963981,0.324872],"genre_scores_gemma":[0.33802083,0.0059800567,0.4878996,0.027178058,0.0048934263,0.0010600535,0.0012326894,0.0021978535,0.13153741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98267716,0.008531932,0.0011484217,0.0018717606,0.0052530933,0.00051769655],"domain_scores_gemma":[0.9704522,0.008791325,0.0016881644,0.011864826,0.004198915,0.0030045405],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.02254823,0.00038802467,0.00089398085,0.005516832,0.007855346,0.02741798,0.0026649816,0.006151391,0.0114428075],"category_scores_gemma":[0.03881563,0.0005620123,0.00083340786,0.008578576,0.027297476,0.04915053,0.01976439,0.010290797,0.0058317883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067753517,0.000010399007,0.0001748383,0.000025792486,0.0000040659843,0.000047263344,0.0010966867,0.00009935571,0.00010482122,0.9785978,0.006669912,0.013162357],"study_design_scores_gemma":[0.0000068390077,0.0000106034795,0.000117530384,0.00018232025,0.00000886302,0.00014243532,0.0011102209,0.0012227072,0.00019337703,0.5778028,0.4191785,0.000023778146],"about_ca_topic_score_codex":0.002531541,"about_ca_topic_score_gemma":0.0026444737,"teacher_disagreement_score":0.997335,"about_ca_system_score_codex":0.003958132,"about_ca_system_score_gemma":0.010397667,"threshold_uncertainty_score":0.119247854},"labels":[],"label_agreement":null},{"id":"W2144391021","doi":"","title":"A framework for semantic transcoding of multimedia learning objects","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Repurposing; Computer science; Learning object; Reuse; Multimedia; On the fly; Ontology; Object (grammar); Transcoding; Human–computer interaction; World Wide Web; Artificial intelligence","score_opus":0.022802626996706803,"score_gpt":0.2715985821648199,"score_spread":0.24879595516811312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144391021","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025285347,0.00018395508,0.9917938,0.00017321932,0.000042903994,0.00011681939,0.000098146986,0.0023556447,0.0027070413],"genre_scores_gemma":[0.076813966,0.00042542827,0.91789085,0.0001280477,0.000041808435,0.00024535044,0.00064646435,0.0003806509,0.0034274822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981071,0.0004988541,0.0002716846,0.00027186575,0.0006860814,0.0001644734],"domain_scores_gemma":[0.99850816,0.00039925467,0.00009395496,0.00051283406,0.0003566133,0.00012925474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036792953,0.0006829427,0.0007631621,0.0029797321,0.0011092197,0.004271054,0.002677371,0.002025153,0.0030609595],"category_scores_gemma":[0.003909992,0.00057421037,0.0017833725,0.0021796476,0.0024683634,0.0054250495,0.004681496,0.0020486875,0.0010550427],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010312759,0.00010744843,0.000623411,0.0004232507,0.000073632546,0.0013401691,0.0025033394,0.015143887,0.013224579,0.74097484,0.0074110306,0.21807134],"study_design_scores_gemma":[0.00006576771,0.000098373486,0.0004704761,0.0003548298,0.00015466214,0.0014262617,0.0009865736,0.29241195,0.023464631,0.39473227,0.2857065,0.00012766024],"about_ca_topic_score_codex":0.005353425,"about_ca_topic_score_gemma":0.004847863,"teacher_disagreement_score":0.005353425,"about_ca_system_score_codex":0.0013479899,"about_ca_system_score_gemma":0.0013924503,"threshold_uncertainty_score":0.019458175},"labels":[],"label_agreement":null},{"id":"W2144592139","doi":"10.1109/icci.1993.315331","title":"Using information retrieval for software reuse","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"Reuse; Computer science; Semantics (computer science); Information retrieval; Documentation; Software; Scope (computer science); Software engineering; Process (computing); World Wide Web; Programming language; Engineering","score_opus":0.09025964248154199,"score_gpt":0.2787857641456216,"score_spread":0.18852612166407962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144592139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030977102,0.014370879,0.93507266,0.0046570017,0.000523307,0.00022437,0.00017815469,0.0018008555,0.040075045],"genre_scores_gemma":[0.09389746,0.017596468,0.87264365,0.0018909657,0.0016576265,0.0005423782,0.0008582598,0.00043716494,0.010476127],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98405635,0.008429603,0.0015379962,0.0012948485,0.004239564,0.00044166818],"domain_scores_gemma":[0.987339,0.0075446577,0.0007486973,0.0028706987,0.0013378933,0.00015904332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008620437,0.0013999395,0.0019564386,0.01524527,0.0021000328,0.010975917,0.0026575665,0.0038971952,0.0065753567],"category_scores_gemma":[0.026006682,0.0007907057,0.0022190001,0.011947839,0.0075032306,0.025033137,0.00544664,0.0023245942,0.0039783344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067020796,0.000058910897,0.00039964775,0.00097124546,0.00013841983,0.00040627667,0.001281791,0.003824098,0.0018255628,0.69182575,0.012552584,0.2866487],"study_design_scores_gemma":[0.00005565718,0.000055052416,0.00032353864,0.00051845354,0.00010127639,0.00084265106,0.00041622913,0.02091244,0.004210247,0.8316974,0.14074597,0.000121170364],"about_ca_topic_score_codex":0.0028539058,"about_ca_topic_score_gemma":0.001815795,"teacher_disagreement_score":0.01524527,"about_ca_system_score_codex":0.003390597,"about_ca_system_score_gemma":0.0025092843,"threshold_uncertainty_score":0.045589805},"labels":[],"label_agreement":null},{"id":"W2144755987","doi":"10.1109/mcetech.2008.33","title":"Contextualized Linguistic Matching for Heterogeneous Data Source Integration","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Schema matching; Semantic heterogeneity; Semantic mapping; Data integration; Information retrieval; Matching (statistics); Schema (genetic algorithms); Data mapping; Ontology; Ontology-based data integration; Data mining; Data science; Database; Semantic Web","score_opus":0.10993472637109433,"score_gpt":0.31716258139884934,"score_spread":0.207227855027755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144755987","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041912585,0.0005447715,0.94333845,0.00026329365,0.00006455157,0.00027400203,0.00062840205,0.010103214,0.0028706759],"genre_scores_gemma":[0.24968563,0.00027986072,0.74557227,0.00017902307,0.000030337813,0.00016398935,0.002214152,0.0006374349,0.001237319],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958639,0.0016640426,0.00043739763,0.000790433,0.0010436682,0.0002005662],"domain_scores_gemma":[0.9962541,0.001663805,0.00032752374,0.0010516705,0.00060175214,0.00010109607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004470264,0.0007159686,0.000994929,0.004476682,0.0010305597,0.0026036869,0.0017369806,0.0013164174,0.0034618406],"category_scores_gemma":[0.01240551,0.000569027,0.0010759757,0.0045321775,0.0009687509,0.003661871,0.0049692784,0.00094421284,0.0010879869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011203978,0.00046825546,0.0053724833,0.0012312576,0.0003054229,0.0010375603,0.0034482982,0.060053393,0.04953634,0.064884745,0.009110639,0.8034313],"study_design_scores_gemma":[0.00017963584,0.00022622674,0.0039778524,0.00024446085,0.00023842315,0.00069476437,0.002418993,0.727974,0.07367495,0.13970035,0.05047789,0.00019247059],"about_ca_topic_score_codex":0.0046294895,"about_ca_topic_score_gemma":0.0042171474,"teacher_disagreement_score":0.0046294895,"about_ca_system_score_codex":0.0011274881,"about_ca_system_score_gemma":0.0016661427,"threshold_uncertainty_score":0.023641288},"labels":[],"label_agreement":null},{"id":"W2145373745","doi":"10.1007/s10115-003-0135-4","title":"Ontologies for Knowledge Management: An Information Systems Perspective","year":2004,"lang":"en","type":"article","venue":"Knowledge and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":201,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ontology; Computer science; Knowledge management; Perspective (graphical); Data science; Interdependence; Representation (politics); Knowledge representation and reasoning; Management science; Epistemology; Artificial intelligence; Sociology; Engineering","score_opus":0.021858794082854682,"score_gpt":0.27250576757426637,"score_spread":0.2506469734914117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145373745","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063414797,0.092590585,0.6831421,0.07201799,0.002382085,0.00014645532,0.0005913618,0.00054819835,0.14223976],"genre_scores_gemma":[0.36814365,0.11515844,0.4707858,0.011581068,0.0084744785,0.000705742,0.0015160324,0.00037008486,0.023264736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99480313,0.0023083442,0.0005815489,0.0005644877,0.0013673063,0.0003751387],"domain_scores_gemma":[0.99283314,0.0048163026,0.00047890205,0.0007974415,0.0006370759,0.00043711238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076881205,0.0014496654,0.0025806613,0.010551116,0.0033094266,0.019991737,0.004548378,0.007125156,0.005406705],"category_scores_gemma":[0.008595577,0.001541071,0.0020504303,0.012623373,0.020650014,0.04507128,0.005714162,0.006999721,0.001475792],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041103276,0.000012386832,0.000040204322,0.00008915177,0.000016725917,0.000040077764,0.0002343348,0.00058325316,0.00004968256,0.9927511,0.0015586219,0.00462024],"study_design_scores_gemma":[0.0000051513666,0.000004092967,0.00004495496,0.00012719024,0.000015876349,0.000051842962,0.00024294452,0.001621469,0.000101303696,0.9708356,0.026940104,0.000009526494],"about_ca_topic_score_codex":0.0076807896,"about_ca_topic_score_gemma":0.0051226914,"teacher_disagreement_score":0.019991737,"about_ca_system_score_codex":0.006116792,"about_ca_system_score_gemma":0.0039391792,"threshold_uncertainty_score":0.044380665},"labels":[],"label_agreement":null},{"id":"W2145663008","doi":"10.5539/mas.v6n10p37","title":"A Terminological Search Algorithm for Ontology Matching","year":2012,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology alignment; Ontology; Similarity (geometry); String searching algorithm; Matching (statistics); Similarity measure; Set (abstract data type); String (physics); Data mining; Measure (data warehouse); Exploit; Information retrieval; Algorithm; Stability (learning theory); Artificial intelligence; Machine learning; Ontology-based data integration; Pattern matching; Mathematics; Image (mathematics); Semantic Web","score_opus":0.05248255500439872,"score_gpt":0.3057482151986626,"score_spread":0.2532656601942639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145663008","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002236595,0.0002620415,0.99466395,0.000083741834,0.00005753807,0.00014971982,0.00016639875,0.0007115002,0.0016685807],"genre_scores_gemma":[0.023028376,0.00020619067,0.97430205,0.0000756498,0.000033898443,0.00021891457,0.00078887225,0.000085336236,0.0012607566],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967704,0.0006254892,0.00049474573,0.0006826987,0.0012869276,0.00013969553],"domain_scores_gemma":[0.99810284,0.0006648766,0.0001425717,0.00027113757,0.0007690811,0.00004947978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025662943,0.0008678719,0.0012192235,0.006219258,0.002003484,0.0021178578,0.002463662,0.0023780162,0.0048821615],"category_scores_gemma":[0.008040989,0.00047438897,0.0015287196,0.007909106,0.0010858704,0.0039646155,0.0021187065,0.0013818127,0.0028053855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027274396,0.0002525642,0.0016170499,0.0005211701,0.00014647505,0.00020787967,0.0003544908,0.055061538,0.0124714915,0.12288878,0.013935051,0.7922708],"study_design_scores_gemma":[0.00013081993,0.00012093928,0.0005977689,0.00010467122,0.00007428929,0.0006619975,0.0001714078,0.83282,0.012000013,0.11554152,0.037709825,0.000066666325],"about_ca_topic_score_codex":0.0037523182,"about_ca_topic_score_gemma":0.0035548492,"teacher_disagreement_score":0.006219258,"about_ca_system_score_codex":0.0017807235,"about_ca_system_score_gemma":0.0031319074,"threshold_uncertainty_score":0.016332448},"labels":[],"label_agreement":null},{"id":"W2145892679","doi":"10.5339/qfarc.2014.hbpp0784","title":"Linked Data Based Semantically Enabled Electronic Medical Record Systems","year":2014,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Conference Proceedings Volume 2014 Issue 1","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Implementation; Identifier; Semantics (computer science); Clinical decision support system; RDF; Linked data; Resource (disambiguation); Unique identifier; Semantic Web; Information retrieval; Decision support system; Data mining; Software engineering; Programming language","score_opus":0.0652416011562627,"score_gpt":0.3579603888128016,"score_spread":0.2927187876565389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145892679","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054591447,0.00086395856,0.95812035,0.0022758357,0.000263842,0.0006250067,0.005935661,0.017779589,0.008676635],"genre_scores_gemma":[0.14537284,0.0026306822,0.8021667,0.0024991059,0.00041233425,0.0012976114,0.035239305,0.0017155501,0.008665857],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9839684,0.0049252305,0.0030611726,0.0024585088,0.0048987,0.00068806036],"domain_scores_gemma":[0.9831834,0.0061942274,0.001441318,0.005024538,0.003447878,0.000708643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011832886,0.0010666639,0.0014158672,0.0066237333,0.0022843708,0.009551628,0.00451063,0.003493521,0.0046512675],"category_scores_gemma":[0.023365343,0.0010206111,0.0025931085,0.008269361,0.0025809004,0.015845599,0.014286748,0.003149214,0.003949717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011709245,0.0006293835,0.005380367,0.0022829615,0.0004973725,0.0025509659,0.0031088996,0.0749189,0.0116883805,0.51960015,0.051542677,0.3266289],"study_design_scores_gemma":[0.00025757524,0.00018351788,0.0014904285,0.0007424321,0.0003061166,0.0008114931,0.00070150016,0.24684466,0.026467182,0.35972813,0.362179,0.00028792873],"about_ca_topic_score_codex":0.006284772,"about_ca_topic_score_gemma":0.004374178,"teacher_disagreement_score":0.011832886,"about_ca_system_score_codex":0.003020075,"about_ca_system_score_gemma":0.0038271276,"threshold_uncertainty_score":0.062579095},"labels":[],"label_agreement":null},{"id":"W2146496747","doi":"10.14778/2732951.2732957","title":"Workload matters","year":2014,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; RDF; Workload; Computer science; RDF Schema; Simple Knowledge Organization System; Cwm; Set (abstract data type); Linked data; RDF query language; Semantic Web; Information retrieval; Database; Programming language; Operating system; Search engine; Web search query","score_opus":0.007596812784350849,"score_gpt":0.19535866088341539,"score_spread":0.18776184809906454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146496747","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028466364,0.021012854,0.02697408,0.42146066,0.035269614,0.00032039307,0.002676558,0.0016135086,0.46220595],"genre_scores_gemma":[0.42552805,0.022544814,0.0120499935,0.19402082,0.033584565,0.00060890213,0.0033530125,0.0036895082,0.30462036],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942814,0.0013476708,0.00038417368,0.0012094645,0.0018796922,0.0008976078],"domain_scores_gemma":[0.98355156,0.004693776,0.0012749622,0.0022159861,0.004826421,0.0034373016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005470784,0.00089414266,0.00076858036,0.000963227,0.0026114886,0.00959912,0.0020814815,0.002942165,0.08762405],"category_scores_gemma":[0.03574364,0.00044097332,0.0006141417,0.0013875721,0.003310221,0.0116492435,0.0044250744,0.00373241,0.03440248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033709183,0.00018572676,0.008352087,0.0006866767,0.00007838289,0.0003737962,0.0023767832,0.0004594502,0.0021430282,0.15676807,0.58430046,0.24393837],"study_design_scores_gemma":[0.000036892456,0.00008302489,0.0037093319,0.00041961562,0.000035601483,0.0007384454,0.0026887073,0.00047094122,0.0008248834,0.10268072,0.8882731,0.00003870635],"about_ca_topic_score_codex":0.0029691125,"about_ca_topic_score_gemma":0.00356396,"teacher_disagreement_score":0.08762405,"about_ca_system_score_codex":0.0034366176,"about_ca_system_score_gemma":0.0040288847,"threshold_uncertainty_score":0.29313165},"labels":[],"label_agreement":null},{"id":"W2146624421","doi":"10.1109/enabl.1995.484554","title":"An ontology of quality for enterprise modelling","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Traceability; Computer science; Ontology; Quality (philosophy); Axiom; Domain (mathematical analysis); Ontology engineering; Scope (computer science); Software engineering; Ontology-based data integration; Domain knowledge; Programming language; Mathematics","score_opus":0.11320945467460022,"score_gpt":0.32983224209931683,"score_spread":0.2166227874247166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146624421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002448241,0.0011032657,0.948793,0.0046732766,0.00024253239,0.00016102304,0.00043481364,0.00036343763,0.04178056],"genre_scores_gemma":[0.12730433,0.0019670862,0.85608417,0.00095244264,0.00016289525,0.00054045446,0.0010412085,0.00022112,0.011726294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969176,0.0011602307,0.00036771325,0.000337653,0.0010030404,0.00021379601],"domain_scores_gemma":[0.9975563,0.0007937401,0.00019200216,0.0007413187,0.0005221036,0.00019444224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005305203,0.00064235204,0.0006393949,0.0035602043,0.00250822,0.006960759,0.0018824566,0.0025422752,0.0030226314],"category_scores_gemma":[0.00858009,0.0006520284,0.0021157064,0.0038037316,0.0062305653,0.011230346,0.004350944,0.0042607244,0.00084332784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022660008,0.0000047668154,0.000057859033,0.000020794221,0.000004537163,0.000031128096,0.00034073493,0.0011402556,0.00014113664,0.99265504,0.0010043071,0.004597128],"study_design_scores_gemma":[0.0000072444714,0.000007444919,0.00015788373,0.00009705094,0.000012271155,0.00011704524,0.00024567137,0.012636958,0.00024480134,0.88073295,0.105722666,0.000017989552],"about_ca_topic_score_codex":0.01291173,"about_ca_topic_score_gemma":0.010197636,"teacher_disagreement_score":0.01291173,"about_ca_system_score_codex":0.004284156,"about_ca_system_score_gemma":0.004122745,"threshold_uncertainty_score":0.031083882},"labels":[],"label_agreement":null},{"id":"W2146769122","doi":"10.1109/naecon.2010.5712938","title":"Ontology alignment using relative entropy for semantic uncertainty analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Ontology; Situation awareness; Information retrieval; Ontology alignment; Semantic heterogeneity; Information quality; Semantic integration; Upper ontology; Knowledge management; Data mining; Semantic Web; Ontology-based data integration; Semantic computing; Information system","score_opus":0.026782642403432606,"score_gpt":0.29530999292371396,"score_spread":0.26852735052028137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146769122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052259886,0.00013126856,0.9926473,0.00016066665,0.000020052776,0.00004376952,0.000052134714,0.00010769226,0.0016111608],"genre_scores_gemma":[0.38035235,0.0004655654,0.61702496,0.000117617645,0.00014673323,0.0004170395,0.00036237977,0.00015438197,0.0009589809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.990944,0.0046484643,0.00061875896,0.0007476482,0.0027712588,0.00026987452],"domain_scores_gemma":[0.9810823,0.014827722,0.0013395487,0.0012039329,0.0013642837,0.0001821185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0111097265,0.0009926104,0.0013038508,0.0073490543,0.0014154817,0.0045084893,0.0014421304,0.0011110039,0.002152866],"category_scores_gemma":[0.033601828,0.00044300788,0.0018331994,0.0051680426,0.0031380935,0.0075584752,0.003598797,0.0020056493,0.00031123805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012937636,0.000072525676,0.002736681,0.00022119113,0.00021166922,0.000252941,0.00083516276,0.29076594,0.002735966,0.56467557,0.0016067126,0.13575622],"study_design_scores_gemma":[0.000010857481,0.000029015368,0.0007457302,0.000035171266,0.000032862918,0.000085956744,0.00017422758,0.57558644,0.0017090588,0.41928747,0.002245151,0.00005798341],"about_ca_topic_score_codex":0.0027445194,"about_ca_topic_score_gemma":0.0016322652,"teacher_disagreement_score":0.0111097265,"about_ca_system_score_codex":0.0028581426,"about_ca_system_score_gemma":0.001955397,"threshold_uncertainty_score":0.058754563},"labels":[],"label_agreement":null},{"id":"W2147548356","doi":"10.1109/nafips.2004.1336318","title":"Approximate reasoning and Semantic Web Services","year":2004,"lang":"en","type":"article","venue":"IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Social Semantic Web; Semantic Web; World Wide Web; Web service; Ontology; OWL-S; Semantic Web Stack; Interoperability; Web modeling","score_opus":0.007841253773303788,"score_gpt":0.22649826287591274,"score_spread":0.21865700910260893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147548356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011980255,0.003232407,0.9712336,0.002011645,0.000117331336,0.0000660347,0.0001380933,0.00040230007,0.01081829],"genre_scores_gemma":[0.6060537,0.0043684575,0.38316146,0.0005581199,0.0002923681,0.00017823355,0.00051353517,0.000068985944,0.00480518],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99657154,0.0011490595,0.00026630238,0.00034471785,0.0014791494,0.00018915316],"domain_scores_gemma":[0.9972088,0.0017054111,0.00027260746,0.00037568653,0.0003721372,0.000065447326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028303568,0.0006820763,0.0008396307,0.0023154325,0.0008703098,0.003617288,0.0014754273,0.0018135391,0.0020824377],"category_scores_gemma":[0.0108272955,0.0004370027,0.0013005851,0.0026478285,0.0029373849,0.0053910017,0.0017180174,0.0017665582,0.00040967308],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009338547,0.000045807676,0.0006978238,0.00024313394,0.000110993424,0.00031495135,0.00034673672,0.119012155,0.0008917241,0.81118315,0.0020881437,0.06497194],"study_design_scores_gemma":[0.000014855175,0.00001294165,0.00013440072,0.000043201046,0.00002334392,0.00009641998,0.00010230217,0.26692885,0.000626724,0.72529423,0.006709253,0.000013518003],"about_ca_topic_score_codex":0.008859464,"about_ca_topic_score_gemma":0.0049285004,"teacher_disagreement_score":0.008859464,"about_ca_system_score_codex":0.00268858,"about_ca_system_score_gemma":0.0011395464,"threshold_uncertainty_score":0.01950717},"labels":[],"label_agreement":null},{"id":"W2147727784","doi":"10.1109/ithet.2005.1560291","title":"An Agent-based Semantic Web Department Content Management System","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; World Wide Web; Social Semantic Web; Semantic Web Stack; Semantic Web; Data Web; Web standards; Web modeling; Semantic analytics; Web page; RDF; Web development","score_opus":0.035052430319381565,"score_gpt":0.2519546873169942,"score_spread":0.21690225699761265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147727784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075690754,0.0004958615,0.7198068,0.0014213983,0.00040545446,0.0015017124,0.002431152,0.11081355,0.08743327],"genre_scores_gemma":[0.43440208,0.00062845583,0.49113953,0.0007115727,0.0002119992,0.001020494,0.0069880392,0.0016630157,0.06323477],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995191,0.00008072226,0.00006326647,0.000088964356,0.00020416453,0.000043833556],"domain_scores_gemma":[0.9994407,0.00008341389,0.00004614731,0.000118986485,0.00018982751,0.00012099956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007402442,0.00033794076,0.00053360563,0.0013782464,0.0010014314,0.0019384522,0.001362199,0.000766452,0.0049259267],"category_scores_gemma":[0.0013609099,0.00028121835,0.00031278812,0.0011888585,0.00031805775,0.0017966648,0.0009776154,0.00059080694,0.003038137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009627415,0.0016660822,0.0068795965,0.00058918656,0.0001670456,0.0012822,0.0012947618,0.03628006,0.056078646,0.07330591,0.16043773,0.66105604],"study_design_scores_gemma":[0.00032320275,0.00020291489,0.0030564188,0.000090143716,0.00020196155,0.00050405425,0.0003142795,0.4234219,0.048914265,0.017523685,0.50532115,0.00012603801],"about_ca_topic_score_codex":0.003559247,"about_ca_topic_score_gemma":0.0028751038,"teacher_disagreement_score":0.0049259267,"about_ca_system_score_codex":0.00096450397,"about_ca_system_score_gemma":0.0017945819,"threshold_uncertainty_score":0.016478896},"labels":[],"label_agreement":null},{"id":"W2147795446","doi":"10.1111/0824-7935.00130","title":"Using Images As a Foundation for Natural Language Processing","year":2000,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Premise; Natural (archaeology); Sight; Artificial intelligence; Natural language processing; Natural language; Consistency (knowledge bases); Representation (politics); Question answering; Modality (human–computer interaction); Space (punctuation); Linguistics","score_opus":0.05284459605095852,"score_gpt":0.3684025520063976,"score_spread":0.31555795595543906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147795446","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006729482,0.004159432,0.93955415,0.004462666,0.0007575109,0.00013837377,0.00060380134,0.0011295661,0.042465087],"genre_scores_gemma":[0.20733653,0.0047471,0.7682793,0.0018870255,0.0008344342,0.0004759895,0.0014770273,0.00038959418,0.014573052],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989556,0.00033678868,0.00009965528,0.00025530517,0.00026660133,0.00008595649],"domain_scores_gemma":[0.99837625,0.0007266881,0.00015180127,0.00038326177,0.0002743494,0.000087652305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118601,0.0006759334,0.00053918455,0.0028293368,0.0011588598,0.0058984035,0.001653167,0.0014474901,0.005189243],"category_scores_gemma":[0.0046944693,0.0004881474,0.0012257968,0.001977827,0.005079584,0.011723655,0.0030777403,0.0024717834,0.0015080702],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025080333,0.000020296615,0.00021985183,0.00019969764,0.000027573165,0.00020095317,0.0007900025,0.0022725,0.0023368727,0.93757224,0.0037642377,0.05257064],"study_design_scores_gemma":[0.000011839975,0.00002212551,0.00023427139,0.00017512045,0.000026459466,0.00017458735,0.0003577892,0.012762892,0.0023819166,0.90010124,0.083716124,0.00003573198],"about_ca_topic_score_codex":0.0035690113,"about_ca_topic_score_gemma":0.0029499077,"teacher_disagreement_score":0.0058984035,"about_ca_system_score_codex":0.0013432122,"about_ca_system_score_gemma":0.0010272,"threshold_uncertainty_score":0.017359734},"labels":[],"label_agreement":null},{"id":"W2147963832","doi":"10.1109/cscwd.2009.4968054","title":"E-Breaker: Flexible, distributed environment for collaborative authoring","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Circuit breaker; Synchronization (alternating current); Work (physics); Set (abstract data type); Distributed computing; Line (geometry); Collaborative software; World Wide Web; Database; Computer network; Programming language; Engineering","score_opus":0.025831341827500128,"score_gpt":0.2613271086470093,"score_spread":0.23549576681950918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147963832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014453766,0.00021013853,0.9067508,0.00030164234,0.00015590634,0.00042851683,0.0003501098,0.06840669,0.008942371],"genre_scores_gemma":[0.23597696,0.00051598775,0.72416276,0.00034758463,0.0002484368,0.00081496657,0.003261819,0.005769114,0.028902404],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99735236,0.0006832911,0.0002619504,0.0005348575,0.0009328094,0.0002347443],"domain_scores_gemma":[0.99367577,0.0020255724,0.00034165126,0.0024007456,0.0003904147,0.0011658238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036935795,0.0006874291,0.00080194336,0.0011607021,0.0017431786,0.0030718031,0.004127648,0.0020774305,0.011479376],"category_scores_gemma":[0.006762307,0.0008067464,0.00064310397,0.0010199497,0.0012657709,0.006369848,0.006527501,0.002424467,0.0054305554],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038544356,0.0013288999,0.006192746,0.00084082544,0.0001760952,0.002486401,0.0032417928,0.019557312,0.0847425,0.086027965,0.09106442,0.70048654],"study_design_scores_gemma":[0.0017856559,0.0011253852,0.0038360886,0.00023751649,0.00016918435,0.0022107475,0.0006077622,0.2208843,0.063530564,0.06194086,0.6432419,0.00043008252],"about_ca_topic_score_codex":0.00078781875,"about_ca_topic_score_gemma":0.0009197307,"teacher_disagreement_score":0.011479376,"about_ca_system_score_codex":0.00047714543,"about_ca_system_score_gemma":0.0009387129,"threshold_uncertainty_score":0.03840232},"labels":[],"label_agreement":null},{"id":"W2148159886","doi":"10.1007/s00766-006-0032-y","title":"View merging in the presence of incompleteness and inconsistency","year":2006,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Merge (version control); Theoretical computer science; Terminology; Tracing; Traceability; Formalism (music); Data science; Data mining; Information retrieval; Programming language; Software engineering","score_opus":0.021575367968019423,"score_gpt":0.24175964940378877,"score_spread":0.22018428143576935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148159886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07898941,0.00035131082,0.91615915,0.0005139101,0.000038823182,0.0001397746,0.00011306161,0.0005352546,0.003159355],"genre_scores_gemma":[0.48671848,0.00026621067,0.5107995,0.00017788078,0.0000529337,0.00010377842,0.00054367003,0.0002635932,0.0010739602],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98050356,0.008578128,0.0015910217,0.0020388542,0.006298181,0.0009901525],"domain_scores_gemma":[0.9253918,0.045905218,0.004834579,0.014574643,0.008180958,0.0011127964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021124374,0.000718167,0.0019223097,0.0024511665,0.0017982329,0.004683965,0.0033212914,0.0027464386,0.0015326724],"category_scores_gemma":[0.07676805,0.0016118737,0.0020730728,0.0024758668,0.0018734487,0.012486917,0.0052831206,0.0026178553,0.0002730565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017511154,0.0004560453,0.024186477,0.0009718088,0.0010472905,0.006713582,0.009728873,0.23700662,0.032515407,0.26626438,0.0043620854,0.41499633],"study_design_scores_gemma":[0.00016545069,0.0002356227,0.002673503,0.00018266504,0.000610382,0.0014950896,0.0016076587,0.6987296,0.03618399,0.24602726,0.011923379,0.0001653346],"about_ca_topic_score_codex":0.0033642696,"about_ca_topic_score_gemma":0.003694097,"teacher_disagreement_score":0.021124374,"about_ca_system_score_codex":0.0013536002,"about_ca_system_score_gemma":0.002713438,"threshold_uncertainty_score":0.1117177},"labels":[],"label_agreement":null},{"id":"W2148210156","doi":"10.1109/icci.2004.37","title":"Towards ontology construction for an industrial domain","year":2004,"lang":"en","type":"article","venue":"IEEE International Conference on Cognitive Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ontology; Computer science; Knowledge acquisition; Pipeline (software); Domain knowledge; Process ontology; Knowledge-based systems; Domain (mathematical analysis); Subject-matter expert; Knowledge management; Expert system; Software engineering; Upper ontology; Process (computing); Knowledge engineering; Open Knowledge Base Connectivity; Ontology-based data integration; Artificial intelligence; Personal knowledge management; Programming language; Organizational learning","score_opus":0.1523435350976202,"score_gpt":0.3547277086313794,"score_spread":0.20238417353375923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148210156","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019583534,0.00019270461,0.9926295,0.00085645233,0.00005932746,0.00010334516,0.00007490595,0.00027569538,0.0038496568],"genre_scores_gemma":[0.022907883,0.00039789843,0.9741266,0.00021340829,0.000035318088,0.0001783105,0.00048528463,0.00011865291,0.0015367038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959972,0.001710443,0.00042407005,0.0005670267,0.0010961955,0.00020498036],"domain_scores_gemma":[0.9959125,0.0016042682,0.00037264082,0.0008916464,0.0009505731,0.000268256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006600781,0.0008011578,0.00077919936,0.0033330712,0.002479118,0.0053608823,0.0023463892,0.0018344581,0.002552138],"category_scores_gemma":[0.00882344,0.001029698,0.0030464313,0.0029012454,0.003644835,0.008516198,0.0067486516,0.0054579754,0.0014079169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017020602,0.00007252486,0.0005224325,0.00026793272,0.000043101958,0.00032175423,0.0020418123,0.009571675,0.0023585805,0.9060052,0.0038757855,0.0749021],"study_design_scores_gemma":[0.000019425672,0.000027377142,0.00034697063,0.00039047468,0.000040110488,0.0002837401,0.0012149686,0.073634446,0.0026484376,0.76278394,0.15856281,0.000047294892],"about_ca_topic_score_codex":0.0060306857,"about_ca_topic_score_gemma":0.0049089845,"teacher_disagreement_score":0.006600781,"about_ca_system_score_codex":0.0022803436,"about_ca_system_score_gemma":0.0050604595,"threshold_uncertainty_score":0.034908712},"labels":[],"label_agreement":null},{"id":"W2148215592","doi":"10.1109/hicss.2004.1265359","title":"Context thesaurus for the extraction of metadata from medical research papers","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Metadata; Information retrieval; Computer science; Search engine indexing; Context (archaeology); Thesaurus; World Wide Web; Controlled vocabulary; Semantic Web; Information extraction; Scale (ratio); Metadata repository; Data science; Natural language processing; History","score_opus":0.12562384153439093,"score_gpt":0.39267091346188104,"score_spread":0.2670470719274901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148215592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02243895,0.02177255,0.8366702,0.0035584122,0.0017568525,0.01064845,0.045384698,0.011791358,0.04597856],"genre_scores_gemma":[0.017145872,0.0034593276,0.95236826,0.00040145437,0.00018201164,0.0024870262,0.020155117,0.0003773369,0.003423663],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9936911,0.0018436833,0.0023462325,0.0006355438,0.0013547196,0.00012872899],"domain_scores_gemma":[0.99023134,0.003884458,0.0014674437,0.0018246649,0.0021051415,0.00048699297],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0062464164,0.0010391992,0.0016303539,0.028586917,0.003055647,0.005602644,0.0018290022,0.0019852188,0.008640015],"category_scores_gemma":[0.025653075,0.0010165127,0.0020956276,0.020385716,0.0013507772,0.0059041465,0.0050808997,0.0018722089,0.006757415],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000378511,0.00028677902,0.0037903478,0.013461384,0.0005095769,0.002897164,0.0050495886,0.0021729518,0.02310503,0.111317605,0.08194756,0.7550836],"study_design_scores_gemma":[0.0002681681,0.00025159627,0.0086158905,0.0061437855,0.0007536455,0.004605451,0.0023429054,0.010884471,0.014505495,0.08275581,0.8685546,0.00031821252],"about_ca_topic_score_codex":0.0048605786,"about_ca_topic_score_gemma":0.009175135,"teacher_disagreement_score":0.9937536,"about_ca_system_score_codex":0.0019383674,"about_ca_system_score_gemma":0.011253422,"threshold_uncertainty_score":0.033034623},"labels":[],"label_agreement":null},{"id":"W2148361784","doi":"","title":"A syntax for rules in OWL 2","year":2009,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Web Ontology Language; Serialization; OWL-S; XML; Programming language; Semantic Web Rule Language; Syntax; Ontology; Parsing; Description logic; Information retrieval; World Wide Web; Natural language processing; Semantic Web; Web service; Web standards","score_opus":0.03594372327015318,"score_gpt":0.2711904607315457,"score_spread":0.2352467374613925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148361784","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010214171,0.0003918187,0.97005534,0.00146064,0.001132195,0.0004962497,0.0042123673,0.008333225,0.012896595],"genre_scores_gemma":[0.023286214,0.000966081,0.94808835,0.0020064241,0.0004134142,0.0012340278,0.009035507,0.0023900864,0.012579937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9940593,0.0012926339,0.0015433136,0.0008371687,0.0018990922,0.00036849128],"domain_scores_gemma":[0.99532604,0.0018676276,0.0005247953,0.00079243694,0.0012840766,0.0002050416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006742029,0.0015791137,0.001190846,0.003287761,0.0019489755,0.0070315273,0.0031238592,0.0026301013,0.017030215],"category_scores_gemma":[0.008826818,0.0017952345,0.003563073,0.003043516,0.0022222342,0.008813853,0.0037303893,0.0062907427,0.010102807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101110694,0.00009828644,0.00025067964,0.000689912,0.000082829516,0.00071192824,0.0011686104,0.0034627242,0.0036711097,0.8402526,0.06717924,0.08233105],"study_design_scores_gemma":[0.00009016932,0.00004803851,0.00017401738,0.00030891903,0.000062140716,0.0006084221,0.00018258428,0.01745915,0.0037975246,0.32479817,0.65236557,0.000105356],"about_ca_topic_score_codex":0.006541353,"about_ca_topic_score_gemma":0.0059927413,"teacher_disagreement_score":0.017030215,"about_ca_system_score_codex":0.0014200656,"about_ca_system_score_gemma":0.0033827913,"threshold_uncertainty_score":0.05697173},"labels":[],"label_agreement":null},{"id":"W2148556617","doi":"10.1007/11805816_31","title":"Combining Multiple Similarity Metrics Using a Multicriteria Approach","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"ELECTRE; Ranking (information retrieval); Similarity (geometry); Pairwise comparison; Computer science; Data mining; Metric (unit); Aggregate (composite); Machine learning; Similitude; Artificial intelligence; Mathematics; Mathematical optimization; Multiple-criteria decision analysis; Image (mathematics)","score_opus":0.0506338763157039,"score_gpt":0.269587851224461,"score_spread":0.2189539749087571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148556617","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051930267,0.0007297264,0.99238825,0.00006477799,0.00007491816,0.00006482582,0.00004049534,0.00044341007,0.0010006027],"genre_scores_gemma":[0.12826584,0.00071157014,0.86825794,0.000100269026,0.00016770809,0.00017112122,0.00038090802,0.0002520686,0.0016925717],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99046344,0.0031408533,0.00097565586,0.0014220275,0.003691154,0.0003069162],"domain_scores_gemma":[0.99017525,0.0033915567,0.00080963963,0.0017506821,0.0037006473,0.00017229511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005481471,0.001381774,0.0033178756,0.009631464,0.00075855403,0.0036130855,0.0027860182,0.0018017362,0.0018791085],"category_scores_gemma":[0.018058551,0.0010567347,0.00234315,0.00911436,0.0007883019,0.006083401,0.0030753158,0.0012314563,0.0013459995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029237874,0.0002451876,0.0029288651,0.00070425484,0.0011108812,0.0002732817,0.00029770017,0.03496967,0.029018728,0.025694614,0.0048636375,0.89960074],"study_design_scores_gemma":[0.000072667106,0.00048269515,0.0034400607,0.00019532783,0.0008549169,0.0013962971,0.00034751036,0.8823904,0.02721861,0.07060718,0.012750982,0.0002433977],"about_ca_topic_score_codex":0.00090828625,"about_ca_topic_score_gemma":0.0017427903,"teacher_disagreement_score":0.009631464,"about_ca_system_score_codex":0.0006760268,"about_ca_system_score_gemma":0.00083908765,"threshold_uncertainty_score":0.028989136},"labels":[],"label_agreement":null},{"id":"W2148966262","doi":"10.1007/978-3-642-03573-9_24","title":"Annotating Atomic Components of Papers in Digital Libraries: The Semantic and Social Web Heading towards a Living Document Supporting eSciences","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terry Fox Research Institute","funders":"","keywords":"Computer science; World Wide Web; Semantic Web; Social Semantic Web; Social web; Heading (navigation); Information retrieval; Social media","score_opus":0.016426914862594875,"score_gpt":0.24885903795049924,"score_spread":0.23243212308790437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148966262","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0678965,0.025732758,0.7142413,0.007889807,0.0049167722,0.0004924764,0.0051141875,0.008227776,0.16548838],"genre_scores_gemma":[0.14071888,0.01823232,0.7083108,0.0012475087,0.0010443812,0.0002678158,0.015413384,0.0039604683,0.11080452],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782795,0.00053670356,0.0003453016,0.00035986587,0.00082585943,0.00010425103],"domain_scores_gemma":[0.99323636,0.0028231768,0.00053659896,0.0017273079,0.0012954348,0.00038113742],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0032633503,0.00093883276,0.00072552206,0.009838445,0.0031850017,0.011257424,0.002279426,0.0019958643,0.008222057],"category_scores_gemma":[0.010773118,0.0007541458,0.0017635445,0.019434122,0.0026192938,0.01129551,0.004305502,0.001595066,0.0041927206],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012720998,0.00015493999,0.0061033336,0.0019293915,0.00016842733,0.0011036474,0.008373489,0.0038510885,0.009011196,0.2571251,0.060620256,0.6514319],"study_design_scores_gemma":[0.0000126320365,0.000035257213,0.004158051,0.0007065222,0.00020472374,0.0010647392,0.0020357205,0.007052032,0.008067826,0.16411598,0.812467,0.00007954707],"about_ca_topic_score_codex":0.0052068033,"about_ca_topic_score_gemma":0.0070049395,"teacher_disagreement_score":0.9887426,"about_ca_system_score_codex":0.0017104375,"about_ca_system_score_gemma":0.0029337646,"threshold_uncertainty_score":0.027505457},"labels":[],"label_agreement":null},{"id":"W2149018650","doi":"10.1109/tai.2000.889848","title":"Principles for mining summaries using objective measures of interestingness","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Data science; Data mining; Information retrieval","score_opus":0.2652661978884863,"score_gpt":0.30403611408656706,"score_spread":0.038769916198080734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149018650","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0394567,0.0009146636,0.9554886,0.00079596136,0.000032774456,0.00035823864,0.00026567455,0.0001914197,0.0024960502],"genre_scores_gemma":[0.364664,0.00090054894,0.6314086,0.0002638361,0.00019338462,0.001231717,0.0005460446,0.000098964585,0.00069287454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.981908,0.005769716,0.0022971113,0.0024061552,0.0071819695,0.00043701133],"domain_scores_gemma":[0.89033544,0.08033344,0.012649251,0.0069957464,0.008669696,0.0010163707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029543085,0.0012649429,0.001911138,0.012415842,0.0012581372,0.0052675265,0.0022515473,0.0018846815,0.0011227968],"category_scores_gemma":[0.10125791,0.00081113714,0.0021104177,0.0053027524,0.00400146,0.011638813,0.0035426228,0.0032064875,0.00026214484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000267237,0.00040643,0.026002293,0.0012781273,0.00077742,0.0004356232,0.0018986156,0.13857055,0.009855442,0.5783313,0.0026555338,0.23952146],"study_design_scores_gemma":[0.00008391847,0.0006595351,0.007978237,0.00025430325,0.00016005106,0.0005613664,0.0005404828,0.25909373,0.007066186,0.71817636,0.0052631614,0.00016263351],"about_ca_topic_score_codex":0.000614955,"about_ca_topic_score_gemma":0.0008376652,"teacher_disagreement_score":0.029543085,"about_ca_system_score_codex":0.0021006784,"about_ca_system_score_gemma":0.0012497159,"threshold_uncertainty_score":0.15624064},"labels":[],"label_agreement":null},{"id":"W2149057740","doi":"10.1287/isre.2014.0515","title":"<b>Research Note</b>—How Semantics and Pragmatics Interact in Understanding Conceptual Models","year":2014,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Pragmatics; Operationalization; CLARITY; Construct (python library); Computer science; Semantics (computer science); Meaning (existential); Domain (mathematical analysis); Conceptual model; Context (archaeology); Knowledge management; Linguistics; Psychology; Epistemology; Mathematics; Programming language","score_opus":0.2737928031952848,"score_gpt":0.4024536244296204,"score_spread":0.1286608212343356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149057740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36354724,0.003470401,0.41909164,0.067369424,0.00051406794,0.00042051746,0.0005081923,0.00073913415,0.14433932],"genre_scores_gemma":[0.89725345,0.00089877297,0.09566308,0.0032116557,0.00014771945,0.00021172795,0.00019118215,0.00023763567,0.002184909],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98585886,0.010021657,0.00058423536,0.0014886298,0.0016876706,0.00035902162],"domain_scores_gemma":[0.8469346,0.13413757,0.0043479735,0.008105224,0.005264486,0.0012101415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014831134,0.00058776734,0.00055094366,0.0013425549,0.0018304626,0.009428721,0.0014158625,0.0026417347,0.009947059],"category_scores_gemma":[0.08959265,0.0008375722,0.0009889732,0.0017385232,0.0109689,0.045068275,0.004111235,0.0053817364,0.0014009245],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070766365,0.0005126557,0.026609024,0.0011391775,0.00018745328,0.00039208814,0.07339991,0.0036469828,0.014716886,0.76025647,0.012003974,0.10642769],"study_design_scores_gemma":[0.000102126345,0.000283952,0.031540647,0.00072462496,0.00019395484,0.0011774456,0.030180704,0.018507605,0.010902286,0.85562664,0.050482627,0.00027735942],"about_ca_topic_score_codex":0.0064408784,"about_ca_topic_score_gemma":0.0037968378,"teacher_disagreement_score":0.014831134,"about_ca_system_score_codex":0.002407513,"about_ca_system_score_gemma":0.0020016513,"threshold_uncertainty_score":0.07843548},"labels":[],"label_agreement":null},{"id":"W2149219831","doi":"10.5555/2337223.2337445","title":"When open source turns cold on innovation - the challenges of navigating licensing complexities in new research domains","year":2012,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Open source; Publication; Open source software; Computer science; Source code; The Internet; Open platform; Open data; World Wide Web; Software; Open research; Data source; Data science; Software engineering; Database; Business; Operating system","score_opus":0.22674068091946162,"score_gpt":0.3836833447884989,"score_spread":0.1569426638690373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149219831","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05075842,0.0067373225,0.13730782,0.4521267,0.003276302,0.00018251441,0.00017970116,0.000982162,0.34844908],"genre_scores_gemma":[0.8740101,0.005322729,0.032718416,0.04754622,0.0030574051,0.0005125816,0.00016204457,0.0017260459,0.03494457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9577724,0.016484223,0.0022209485,0.004020002,0.014991275,0.0045112534],"domain_scores_gemma":[0.7867157,0.1439294,0.01239358,0.024133813,0.019565511,0.013261843],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.07802364,0.000521035,0.001438636,0.0052216067,0.010742487,0.036042914,0.0035087464,0.011572529,0.019116802],"category_scores_gemma":[0.20183842,0.0009896043,0.0011488824,0.004227673,0.0477355,0.09148842,0.027531875,0.01391714,0.0046402225],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004323941,0.00004570687,0.0021332859,0.00016543413,0.00001821438,0.00038428712,0.007121911,0.00053232705,0.00054405484,0.9239104,0.01463686,0.050464272],"study_design_scores_gemma":[0.000018069346,0.000028600885,0.0010207195,0.0004273151,0.00000945533,0.00018848327,0.0071309106,0.00068002945,0.00037480227,0.90977573,0.08029647,0.00004947595],"about_ca_topic_score_codex":0.004163505,"about_ca_topic_score_gemma":0.0050756163,"teacher_disagreement_score":0.99649125,"about_ca_system_score_codex":0.008840037,"about_ca_system_score_gemma":0.014062668,"threshold_uncertainty_score":0.41263342},"labels":[],"label_agreement":null},{"id":"W2150700016","doi":"10.4018/978-1-60566-026-4.ch546","title":"Semantic Web Uncertainty Management","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Semantic Web; Ontology; Conceptualization; Description logic; Web Ontology Language; Semantics (computer science); Schema (genetic algorithms); Information retrieval; Theoretical computer science; Artificial intelligence; Programming language; Epistemology","score_opus":0.017857282032803436,"score_gpt":0.2420154319120941,"score_spread":0.22415814987929067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150700016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053168065,0.021567313,0.7509633,0.024016656,0.002336571,0.00073192496,0.006796987,0.0047403546,0.18353017],"genre_scores_gemma":[0.35302126,0.049347322,0.5091333,0.009288263,0.0037718446,0.0015673541,0.028449683,0.0015022109,0.04391875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9910898,0.0027047624,0.00083262275,0.0009979678,0.0038727166,0.00050211203],"domain_scores_gemma":[0.9918725,0.0035760123,0.0006330239,0.0016625134,0.0019101991,0.00034578666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008669316,0.0017892008,0.002040967,0.0076001813,0.0031315354,0.012510076,0.0041771433,0.004715562,0.011521261],"category_scores_gemma":[0.017449262,0.00081430847,0.0023952515,0.008235713,0.0030990222,0.019442985,0.009922014,0.0044328687,0.0050586397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010746139,0.000082547966,0.00063689385,0.0007345232,0.00022581904,0.0005886635,0.0005295529,0.016180318,0.00054035056,0.753063,0.051359963,0.17595084],"study_design_scores_gemma":[0.000019303394,0.000009973752,0.00014150295,0.0003036721,0.000047110578,0.00021005105,0.00030690644,0.025634674,0.0009946675,0.76304054,0.20925552,0.000036094967],"about_ca_topic_score_codex":0.0049589053,"about_ca_topic_score_gemma":0.0028515554,"teacher_disagreement_score":0.012510076,"about_ca_system_score_codex":0.0044823955,"about_ca_system_score_gemma":0.004031978,"threshold_uncertainty_score":0.04584825},"labels":[],"label_agreement":null},{"id":"W2150730524","doi":"10.1109/kbse.1994.342673","title":"Task-oriented and similarity-based retrieval","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Information retrieval; Matching (statistics); Similarity (geometry); Task (project management); Context (archaeology); Visibility; Domain (mathematical analysis); Question answering; Artificial intelligence; Image (mathematics); Mathematics","score_opus":0.023620557818572398,"score_gpt":0.2248738365170842,"score_spread":0.2012532786985118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150730524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005113646,0.0005447831,0.9734431,0.00027155338,0.00011000592,0.0003221813,0.000307634,0.0031705191,0.016716545],"genre_scores_gemma":[0.106190465,0.00069497694,0.8740595,0.00028671086,0.00015808734,0.00050639524,0.0019458146,0.00062248344,0.015535469],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942531,0.0013150794,0.0006603497,0.00078432524,0.0026174886,0.00036963867],"domain_scores_gemma":[0.9946154,0.0009465493,0.00042626433,0.0023813194,0.001375215,0.0002551886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033933276,0.0009367267,0.001015805,0.005460624,0.0011140461,0.0057405224,0.0034247867,0.0018305253,0.010143837],"category_scores_gemma":[0.013569481,0.00048390668,0.0015082591,0.006121525,0.0014887198,0.006755652,0.0036340836,0.0007952053,0.008154849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030546484,0.00029276198,0.0010477323,0.0005415937,0.00008299638,0.0002101386,0.001472832,0.01115908,0.010612024,0.21966173,0.017089164,0.7375245],"study_design_scores_gemma":[0.00021381625,0.00048492962,0.0032047797,0.00028124894,0.00020822401,0.0019595202,0.0013866655,0.25994238,0.042304285,0.39576074,0.29389054,0.00036285105],"about_ca_topic_score_codex":0.0038209935,"about_ca_topic_score_gemma":0.002994968,"teacher_disagreement_score":0.010143837,"about_ca_system_score_codex":0.0012338237,"about_ca_system_score_gemma":0.0018785176,"threshold_uncertainty_score":0.033934534},"labels":[],"label_agreement":null},{"id":"W2150768946","doi":"10.1109/cscwd.2009.4968082","title":"Instance-based domain ontological view creation","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Information retrieval; Schema (genetic algorithms); Schema matching; Semantic heterogeneity; Ontology; IDEF1X; Cluster analysis; Semantics (computer science); Semantic integration; Data integration; Ontology-based data integration; Data mining; Artificial intelligence; Semantic Web; Semantic computing; Programming language","score_opus":0.02057882996383927,"score_gpt":0.2673916479017073,"score_spread":0.246812817937868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150768946","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027451892,0.00015824124,0.98317784,0.0002466029,0.00010397486,0.00027136726,0.0023816796,0.003313739,0.0076013072],"genre_scores_gemma":[0.03601433,0.0004099982,0.95224196,0.00014760063,0.00004045908,0.00031526922,0.008012637,0.0005705517,0.002247159],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968353,0.0007525981,0.00028708973,0.0004818594,0.0014388354,0.00020438441],"domain_scores_gemma":[0.99586135,0.0012164656,0.00017739266,0.0015926547,0.00094019785,0.00021195355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034718355,0.0008895442,0.0009864804,0.0051480248,0.0012488468,0.004970075,0.0031162628,0.0013549757,0.0065524527],"category_scores_gemma":[0.010224201,0.0010275025,0.0035283708,0.0041715614,0.00086086045,0.005960108,0.005754763,0.0038990113,0.0025822523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018310883,0.00036265407,0.0032518487,0.00054327754,0.00030406946,0.00095611607,0.0019005466,0.023702113,0.0105899675,0.5134786,0.0462664,0.39846125],"study_design_scores_gemma":[0.00006460886,0.00004856404,0.0014690749,0.0003395777,0.00022004257,0.0008658029,0.00080497126,0.34523138,0.022094943,0.2598559,0.36886647,0.00013872248],"about_ca_topic_score_codex":0.006307941,"about_ca_topic_score_gemma":0.011366713,"teacher_disagreement_score":0.0065524527,"about_ca_system_score_codex":0.0013080244,"about_ca_system_score_gemma":0.002626816,"threshold_uncertainty_score":0.021920145},"labels":[],"label_agreement":null},{"id":"W2150806991","doi":"10.1109/csew.2008.52","title":"Creating Emergency Management Training Simulations through Ontologies Integration","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Architecture; Set (abstract data type); Emergency management; Programmer; Training (meteorology); Software engineering; Control (management); Human–computer interaction; Artificial intelligence; Embedded system","score_opus":0.11167063171710831,"score_gpt":0.31354649831367865,"score_spread":0.20187586659657034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150806991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018824467,0.00006233116,0.96264225,0.00026631946,0.000042909698,0.00028574033,0.00021116946,0.005931828,0.011732985],"genre_scores_gemma":[0.18291081,0.00027600914,0.8077055,0.00014639078,0.000016700065,0.0004544749,0.0016551109,0.0007384479,0.006096549],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859077,0.00056249445,0.00017788105,0.00017059279,0.00041549176,0.00008286442],"domain_scores_gemma":[0.9980869,0.0008267185,0.00012322492,0.00054499716,0.00028359945,0.00013448104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021286812,0.00066865614,0.00045690176,0.0010622947,0.00089351885,0.0022375006,0.0014555446,0.0009194529,0.0030822614],"category_scores_gemma":[0.00491244,0.0006010844,0.001010816,0.0006712906,0.00082026765,0.0041609257,0.003378871,0.0014659096,0.0007633516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047062995,0.001146622,0.006832016,0.0008944032,0.00031145258,0.0013923714,0.0071943644,0.19385062,0.03657288,0.17587301,0.0147477845,0.5607139],"study_design_scores_gemma":[0.000110310255,0.00012504641,0.0017579137,0.0002769634,0.00018883894,0.0007678043,0.0011828605,0.64475477,0.036914296,0.09853227,0.21524884,0.00014012697],"about_ca_topic_score_codex":0.002389293,"about_ca_topic_score_gemma":0.003347492,"teacher_disagreement_score":0.0030822614,"about_ca_system_score_codex":0.00068412145,"about_ca_system_score_gemma":0.0013584367,"threshold_uncertainty_score":0.0112576485},"labels":[],"label_agreement":null},{"id":"W2150965300","doi":"10.1109/cimsa.2006.250753","title":"A Novel Ontology for Sensor Networks Data","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scalability; Ontology; Computer science; Wireless sensor network; Key (lock); Raw data; Ontology-based data integration; Process ontology; Data mining; Information retrieval; Database; Computer network; Semantic Web; Computer security","score_opus":0.06363392102817447,"score_gpt":0.2863305654118623,"score_spread":0.22269664438368783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150965300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027208882,0.00062678976,0.9847168,0.0028110133,0.00050163514,0.0004128251,0.0011567046,0.0013981983,0.0056551457],"genre_scores_gemma":[0.037518114,0.0013169254,0.9523534,0.0009302764,0.00023487138,0.0006367143,0.0025037504,0.00028872208,0.0042171245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9939405,0.0011501651,0.0011434515,0.0011282928,0.0022841275,0.0003535697],"domain_scores_gemma":[0.9951538,0.0011531358,0.0004756885,0.0014136682,0.0013037974,0.0004998821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006377355,0.00083409104,0.001189075,0.0034316157,0.003654976,0.0073799277,0.0033258689,0.0024987105,0.0021742128],"category_scores_gemma":[0.008979906,0.0008940477,0.0028368656,0.005625174,0.0036515705,0.019096002,0.0056472477,0.0044856668,0.001025781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005412544,0.0001206581,0.0013100443,0.00052056415,0.00007602659,0.0004908395,0.0018357616,0.006658759,0.0041279653,0.8586219,0.021038594,0.105144754],"study_design_scores_gemma":[0.000046832305,0.00006981248,0.00078854634,0.0003720416,0.00012341976,0.0011147978,0.0009891308,0.07795763,0.0045249923,0.3510612,0.56282824,0.00012340328],"about_ca_topic_score_codex":0.013174826,"about_ca_topic_score_gemma":0.015580853,"teacher_disagreement_score":0.013174826,"about_ca_system_score_codex":0.003299992,"about_ca_system_score_gemma":0.0066181105,"threshold_uncertainty_score":0.03372705},"labels":[],"label_agreement":null},{"id":"W2151044770","doi":"10.1177/0165551511406063","title":"Modelling ancient Chinese time ontology","year":2011,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Defense Advanced Research Projects Agency","keywords":"Reign; Emperor; Ontology; Period (music); History; Event (particle physics); Scale (ratio); Computer science; Chinese philosophy; History of China; Data science; Ancient history; Geography; Archaeology; China; Cartography; Epistemology; Philosophy; Law","score_opus":0.031605170455296726,"score_gpt":0.255077328568058,"score_spread":0.22347215811276125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151044770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13532384,0.0014128452,0.69257337,0.0023505017,0.00031976012,0.0005746035,0.0066413297,0.0016307557,0.15917309],"genre_scores_gemma":[0.6083987,0.0023546312,0.33244398,0.0003467926,0.00009054191,0.0006237188,0.007174213,0.00027433594,0.0482932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993988,0.00009946179,0.000087899534,0.00011867428,0.0002226219,0.000072492956],"domain_scores_gemma":[0.99965966,0.00008821341,0.000049595776,0.00006488935,0.00011077258,0.000026858246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006819096,0.00049819885,0.00025114848,0.001713187,0.0010096692,0.0016659431,0.00092592905,0.00044711892,0.0032305],"category_scores_gemma":[0.0013079229,0.00025472723,0.0009213796,0.002883541,0.0008368878,0.0033220742,0.001498038,0.0005494792,0.0005024502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005850394,0.00004147712,0.0044496823,0.0003304466,0.00006689987,0.0015751374,0.0041627274,0.03590136,0.0033001734,0.8767655,0.008157643,0.06519057],"study_design_scores_gemma":[0.0000420675,0.000029263203,0.003706835,0.00018819554,0.00022048331,0.0010952816,0.002579205,0.3069292,0.0070662973,0.17822306,0.4998528,0.00006727337],"about_ca_topic_score_codex":0.062213156,"about_ca_topic_score_gemma":0.041704323,"teacher_disagreement_score":0.062213156,"about_ca_system_score_codex":0.0032244085,"about_ca_system_score_gemma":0.0038681796,"threshold_uncertainty_score":0.12370205},"labels":[],"label_agreement":null},{"id":"W2151330823","doi":"10.3414/me0574","title":"Clinical Decision Support System for Point of Care Use","year":2009,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Computer science; Triage; Executable; Clinical decision support system; Ontology; Decision support system; Point of care; Software engineering; Artificial intelligence; Operating system; Medicine","score_opus":0.06985317355458853,"score_gpt":0.45071632995972893,"score_spread":0.3808631564051404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151330823","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028039977,0.001105563,0.89073354,0.002602912,0.00063462753,0.0016981084,0.00502906,0.051133383,0.019022781],"genre_scores_gemma":[0.372207,0.0011121586,0.59658897,0.0017097612,0.0004535697,0.0015830193,0.010980715,0.0013873482,0.0139775],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793243,0.0005127574,0.00032394272,0.00043944898,0.00066560676,0.00012586011],"domain_scores_gemma":[0.9965713,0.001099443,0.00026541034,0.000611539,0.0010766202,0.00037576733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021858697,0.0005807984,0.00063303247,0.0011483633,0.0005544498,0.0025271357,0.0019474418,0.0009637673,0.014138256],"category_scores_gemma":[0.007355976,0.00032375578,0.0005840793,0.00091563555,0.0003310611,0.001582311,0.0020005906,0.0009865899,0.006135451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022550318,0.00072184176,0.017166516,0.00211024,0.0005023762,0.0031152323,0.0016019227,0.02142887,0.050482772,0.053025752,0.16384938,0.6837401],"study_design_scores_gemma":[0.0007586255,0.0006634121,0.009477586,0.0009054086,0.00029771664,0.0030956583,0.00060484774,0.30439058,0.044989824,0.04385052,0.5907101,0.00025581697],"about_ca_topic_score_codex":0.0013492743,"about_ca_topic_score_gemma":0.00090266514,"teacher_disagreement_score":0.014138256,"about_ca_system_score_codex":0.00086208765,"about_ca_system_score_gemma":0.001617864,"threshold_uncertainty_score":0.04729718},"labels":[],"label_agreement":null},{"id":"W2151513340","doi":"10.4000/edc.2631","title":"Un assistant de mémoire pour les très petits projets d’ingénierie du logiciel","year":2011,"lang":"fr","type":"article","venue":"Etudes de communication/Études de communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Humanities; Art; Library science; Political science; Computer science","score_opus":0.09705860379421288,"score_gpt":0.28502026099123734,"score_spread":0.18796165719702446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151513340","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029231459,0.00079405995,0.90980554,0.002876206,0.0010585482,0.0006890621,0.0005680977,0.024695681,0.030281328],"genre_scores_gemma":[0.07210004,0.0006339711,0.8760842,0.00050520175,0.00024171031,0.00034355646,0.0009255066,0.001235893,0.047929853],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955076,0.0016100358,0.00038896783,0.0010784274,0.0011890356,0.00022594085],"domain_scores_gemma":[0.98345286,0.0067228395,0.0009299021,0.0029308621,0.0049454006,0.0010180823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074913087,0.001513272,0.00088996853,0.0024622644,0.0020831344,0.005550696,0.0015903119,0.0024561628,0.025898239],"category_scores_gemma":[0.022356873,0.00081096013,0.0009924453,0.001313039,0.0010819698,0.0062242765,0.0029749605,0.001835107,0.016552571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010071927,0.0005452826,0.005306419,0.0018309319,0.0001050923,0.0011334317,0.015915062,0.0029065104,0.053301863,0.030729622,0.039040424,0.8481782],"study_design_scores_gemma":[0.00019279643,0.0006453033,0.0041507203,0.000558696,0.00023325258,0.0026422662,0.0055886838,0.03935503,0.061644517,0.011132422,0.87365353,0.0002028819],"about_ca_topic_score_codex":0.0037911767,"about_ca_topic_score_gemma":0.004769762,"teacher_disagreement_score":0.025898239,"about_ca_system_score_codex":0.0010811064,"about_ca_system_score_gemma":0.004104065,"threshold_uncertainty_score":0.08663827},"labels":[],"label_agreement":null},{"id":"W2151604269","doi":"10.1109/icde.2008.4497409","title":"Muse: Mapping Understanding and deSign by Example","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Schema (genetic algorithms); Programming language; Wizard; Semantics (computer science); Software engineering; Data mapping; Human–computer interaction; Information retrieval; World Wide Web","score_opus":0.21040839604100953,"score_gpt":0.24771835741298867,"score_spread":0.037309961371979145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151604269","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019454758,0.00017316635,0.9906342,0.0005096209,0.000028874134,0.00015146822,0.00015242054,0.0017827647,0.0046219286],"genre_scores_gemma":[0.022790903,0.0002664508,0.9736534,0.00013072368,0.000017249562,0.00036476634,0.00046138192,0.00053613324,0.0017790123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99109125,0.0045887544,0.00094424444,0.0010667519,0.0020524636,0.00025657957],"domain_scores_gemma":[0.9895147,0.005901991,0.00035229724,0.0030641018,0.0009554926,0.00021139599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01080911,0.0013692869,0.00091770507,0.0026058336,0.001854231,0.00574203,0.0040965797,0.002343633,0.012781184],"category_scores_gemma":[0.030514944,0.0015069168,0.0025817894,0.0023371098,0.0035757534,0.013114401,0.0065210965,0.0028759898,0.0024423504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015300054,0.00011625358,0.0009551615,0.0008495326,0.00009765773,0.00050494156,0.005443149,0.016605848,0.003932825,0.67026377,0.016685467,0.28439236],"study_design_scores_gemma":[0.00008246753,0.000099517805,0.00030394277,0.0005470693,0.000095978,0.00097594777,0.0014670382,0.11346842,0.00991504,0.5799434,0.29302934,0.000071889335],"about_ca_topic_score_codex":0.0018089492,"about_ca_topic_score_gemma":0.0024193344,"teacher_disagreement_score":0.012781184,"about_ca_system_score_codex":0.0014038713,"about_ca_system_score_gemma":0.0020028003,"threshold_uncertainty_score":0.05716473},"labels":[],"label_agreement":null},{"id":"W2152111724","doi":"10.1109/icdim.2007.369365","title":"A Unified Framework for the Semantic Integration of XML Databases","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Interoperation; Database; XML database; XML; Data integration; Information retrieval; World Wide Web","score_opus":0.07223242471682159,"score_gpt":0.33599802638482174,"score_spread":0.2637656016680001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152111724","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005421918,0.0007259612,0.99376065,0.00046390848,0.00010746752,0.00021633517,0.00013658097,0.0016681349,0.0023788316],"genre_scores_gemma":[0.0142544955,0.0013109833,0.979745,0.00038945605,0.00013496373,0.00044024043,0.0011888192,0.00033833508,0.0021977779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.990901,0.0022991262,0.0018381462,0.00090465334,0.003490039,0.00056712196],"domain_scores_gemma":[0.9966601,0.00073376135,0.00026304607,0.001203699,0.0008237624,0.0003156484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012783145,0.0011447149,0.0017569436,0.003926714,0.0024294215,0.008587446,0.0062598623,0.003159555,0.0029223203],"category_scores_gemma":[0.0070097107,0.0018539379,0.0042317742,0.0040861405,0.0028412503,0.009033358,0.007991146,0.005399638,0.0021157085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007493707,0.000116765455,0.00047310308,0.00049116835,0.00016508141,0.00060620724,0.00092123327,0.0099560395,0.0040275343,0.8616564,0.011091158,0.110420294],"study_design_scores_gemma":[0.00014250647,0.00015019233,0.0004717274,0.00094718975,0.0002611347,0.0013832105,0.00042793833,0.104973346,0.0077206143,0.3457739,0.53753006,0.00021815146],"about_ca_topic_score_codex":0.008923411,"about_ca_topic_score_gemma":0.007305879,"teacher_disagreement_score":0.012783145,"about_ca_system_score_codex":0.0025982575,"about_ca_system_score_gemma":0.006144291,"threshold_uncertainty_score":0.06760454},"labels":[],"label_agreement":null},{"id":"W2152213905","doi":"10.1109/ccece.2005.1557423","title":"Towards a framework for ontology evolution","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ontology; Computer science; Process ontology; Software versioning; Component (thermodynamics); Software engineering; Representation (politics); Ontology-based data integration; Process (computing); Upper ontology; Programming language; Software","score_opus":0.018438442006517824,"score_gpt":0.2730943122725971,"score_spread":0.2546558702660793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152213905","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008116522,0.00036307846,0.98970723,0.0017708124,0.00014349759,0.00012464837,0.00005251174,0.0007359656,0.0062906067],"genre_scores_gemma":[0.015783,0.0006453812,0.9788928,0.0003617755,0.00010751381,0.00032940583,0.00040468972,0.00029323192,0.003182295],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99152035,0.0039405795,0.00086117536,0.0011530835,0.002119911,0.00040496615],"domain_scores_gemma":[0.9923543,0.0020889395,0.00055432686,0.0025125158,0.0016895715,0.000800349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018146256,0.0011216828,0.0013078812,0.0039620837,0.0042655542,0.0114384545,0.0061615123,0.0044478243,0.0035121373],"category_scores_gemma":[0.013599801,0.0016296555,0.0029435223,0.0036704298,0.008360193,0.017956857,0.009974026,0.008340746,0.0021071546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007935706,0.000024737563,0.00015292733,0.00006685834,0.000017855256,0.00010047476,0.001005831,0.002941258,0.00038862074,0.9715011,0.0024805947,0.021311723],"study_design_scores_gemma":[0.000020335936,0.000021524736,0.00012508257,0.00022793279,0.000026637612,0.00024146678,0.00058731576,0.034724906,0.0007360807,0.74608153,0.21716505,0.00004210948],"about_ca_topic_score_codex":0.011016137,"about_ca_topic_score_gemma":0.009476623,"teacher_disagreement_score":0.018146256,"about_ca_system_score_codex":0.0045679454,"about_ca_system_score_gemma":0.006638097,"threshold_uncertainty_score":0.09596777},"labels":[],"label_agreement":null},{"id":"W2152436566","doi":"10.1007/3-540-44886-1_34","title":"Formal Theory for Describing Action Concepts in Terminological Knowledge Bases","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Precondition; Notation; Object (grammar); Action (physics); Action theory (sociology); Taxonomy (biology); Relation (database); Extensional definition; Theoretical computer science; Artificial intelligence; Programming language; Epistemology; Mathematics; Data mining","score_opus":0.08697123633195086,"score_gpt":0.3143453539604392,"score_spread":0.22737411762848836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152436566","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015300572,0.00079120067,0.9877973,0.0006384361,0.00019153769,0.00010484865,0.00040804126,0.00040773532,0.008130855],"genre_scores_gemma":[0.11657762,0.002117178,0.8661658,0.0007750694,0.0004602758,0.0011677501,0.002726065,0.0003510856,0.009659252],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960532,0.0010765716,0.0007616158,0.0004570059,0.0013226949,0.0003288864],"domain_scores_gemma":[0.99555135,0.0027155941,0.00023636008,0.00069744716,0.0006623925,0.00013689038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050957166,0.0014586805,0.0015265536,0.005270728,0.002863287,0.0072506517,0.0054978426,0.0034485792,0.008539432],"category_scores_gemma":[0.008652894,0.0018433549,0.0035577335,0.006259328,0.0069828676,0.017886762,0.003172862,0.006501516,0.002819843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008514411,0.000014559671,0.000037702874,0.00009896479,0.000013837744,0.000043235792,0.00021565575,0.002519437,0.00017852915,0.98688006,0.001245344,0.00874398],"study_design_scores_gemma":[0.000014847351,0.000007826616,0.000024561175,0.00007963757,0.000038910912,0.000057720332,0.0000876973,0.016375313,0.0005125698,0.96944225,0.01334312,0.00001555265],"about_ca_topic_score_codex":0.0056191785,"about_ca_topic_score_gemma":0.0049563367,"teacher_disagreement_score":0.008539432,"about_ca_system_score_codex":0.004166264,"about_ca_system_score_gemma":0.0032570548,"threshold_uncertainty_score":0.030228496},"labels":[],"label_agreement":null},{"id":"W2152634017","doi":"10.31269/triplec.v8i1.211","title":"The Concept of “Web Science” in the Social Realm: Building Bridges between a new Interdisciplinary Field and the Cultural “Wealth of Networks”","year":2010,"lang":"en","type":"article","venue":"tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social Semantic Web; Web standards; World Wide Web; Computer science; Web modeling; Web 2.0; Interactivity; Semantic Web; Web intelligence; Web development; Field (mathematics); Hypertext; Web engineering; Web service; Data science","score_opus":0.02986695881300418,"score_gpt":0.4355091281956705,"score_spread":0.40564216938266634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152634017","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02808758,0.06489979,0.15927449,0.40909597,0.0076487986,0.00017004261,0.00018590914,0.00032300683,0.33031452],"genre_scores_gemma":[0.7735594,0.060408477,0.07280588,0.049101334,0.012551701,0.0009566334,0.00019906633,0.0004734927,0.029944032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9932201,0.0048238137,0.0001741447,0.0006168196,0.00086918374,0.0002959195],"domain_scores_gemma":[0.9871432,0.010000754,0.00070960994,0.0008549095,0.0005424008,0.00074913114],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0076722144,0.00087200187,0.0007458523,0.0054464433,0.008891149,0.018834831,0.0017396418,0.007106929,0.004252424],"category_scores_gemma":[0.0075598126,0.00041223108,0.0006401339,0.004739787,0.0719395,0.03419579,0.0086035775,0.009268662,0.00087204884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041953235,0.000008168549,0.000118989774,0.000060140334,0.0000028523862,0.000044005104,0.0056999438,0.000086477296,0.000060426697,0.9865645,0.00284064,0.0045097014],"study_design_scores_gemma":[0.0000063463467,0.000013007957,0.00021343975,0.0002869144,0.0000045546103,0.00013192008,0.0061978684,0.00064417155,0.0001547925,0.84286475,0.14946382,0.00001847767],"about_ca_topic_score_codex":0.0020138773,"about_ca_topic_score_gemma":0.0021064368,"teacher_disagreement_score":0.99110883,"about_ca_system_score_codex":0.005287204,"about_ca_system_score_gemma":0.0045585493,"threshold_uncertainty_score":0.040575087},"labels":[],"label_agreement":null},{"id":"W2153048671","doi":"10.1109/hicss.2004.1265291","title":"Context, ontology and portfolio: key concepts for a situational awareness knowledge portal","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"Division of Materials Research","keywords":"Computer science; Situation awareness; Knowledge management; Ontology; Context (archaeology); Domain knowledge; Key (lock); Knowledge sharing; Domain (mathematical analysis); Battlespace; Work (physics); Portfolio; Computer security; Engineering; Business","score_opus":0.03276539912881871,"score_gpt":0.32532653237228,"score_spread":0.2925611332434613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153048671","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075159147,0.0037424925,0.92419004,0.012707242,0.000599676,0.0002773843,0.00018917552,0.0006347374,0.050143216],"genre_scores_gemma":[0.21604495,0.008084057,0.76276946,0.0021958456,0.00066509016,0.00082548044,0.00054894155,0.00023325808,0.008633045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952167,0.0023562447,0.00065108464,0.0004037217,0.0010686094,0.0003036882],"domain_scores_gemma":[0.9964373,0.0015832003,0.0004410765,0.000581691,0.00039203084,0.0005647869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005869096,0.0008373496,0.000887961,0.004234568,0.003054953,0.014317616,0.0018026344,0.0033957602,0.00288312],"category_scores_gemma":[0.007787622,0.0008127015,0.00093272177,0.005916566,0.01089621,0.027023347,0.0070486604,0.0051423865,0.0008771552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008286161,0.000019450013,0.00022902673,0.00009137524,0.000007511768,0.00014059503,0.0013312064,0.00062913017,0.00019562997,0.97650456,0.0015506364,0.019292511],"study_design_scores_gemma":[0.000009737202,0.000015810616,0.00020846534,0.00022566524,0.000013729259,0.0004355806,0.0015215316,0.0036369849,0.0002726254,0.9041055,0.08953162,0.000022734721],"about_ca_topic_score_codex":0.003048206,"about_ca_topic_score_gemma":0.0024318704,"teacher_disagreement_score":0.014317616,"about_ca_system_score_codex":0.0021031026,"about_ca_system_score_gemma":0.0048553366,"threshold_uncertainty_score":0.03103906},"labels":[],"label_agreement":null},{"id":"W2153104545","doi":"10.1109/saint.2008.37","title":"Developing a Web 2.0 RESTful Cocoon Web Services for Telemedical Education","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University; Lakehead University","funders":"","keywords":"Ajax; World Wide Web; Web 2.0; Web service; Computer science; Web development; Repurposing; Web standards; Web modeling; SOAP; Social software; Web application; Multimedia; Engineering","score_opus":0.036944519972561915,"score_gpt":0.29540084109434617,"score_spread":0.25845632112178424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153104545","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057179365,0.00016418999,0.91167885,0.00054805627,0.00020711879,0.0012594623,0.00015618127,0.019764347,0.00904245],"genre_scores_gemma":[0.2912451,0.00029799718,0.6852283,0.0005491131,0.000055657358,0.0005054705,0.00094319024,0.001576942,0.019598234],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993542,0.00013201087,0.000054856515,0.000093247974,0.00024918615,0.000116495525],"domain_scores_gemma":[0.99921215,0.00010090523,0.00005031843,0.00015213933,0.00031928252,0.00016532626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010925297,0.00057864137,0.00029086464,0.0006307257,0.0006065926,0.001323541,0.0011812449,0.00094495213,0.0028138943],"category_scores_gemma":[0.0018040936,0.0003819695,0.00072548055,0.0004816981,0.0004954587,0.0015128001,0.0014057229,0.00090712216,0.0009965607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011135185,0.001438968,0.008398628,0.0006798549,0.00015552857,0.0037169193,0.001574938,0.02601479,0.26865095,0.0501899,0.025984643,0.6120814],"study_design_scores_gemma":[0.00043902663,0.00088272017,0.0050191972,0.00017965559,0.00020301131,0.0020338192,0.00046640416,0.5704309,0.23715433,0.009124103,0.17384893,0.00021796608],"about_ca_topic_score_codex":0.008495467,"about_ca_topic_score_gemma":0.006412778,"teacher_disagreement_score":0.008495467,"about_ca_system_score_codex":0.00073426875,"about_ca_system_score_gemma":0.0024551582,"threshold_uncertainty_score":0.016892076},"labels":[],"label_agreement":null},{"id":"W2153220530","doi":"10.2166/hydro.2011.172","title":"GroundWater Markup Language (GWML) – enabling groundwater data interoperability in spatial data infrastructures","year":2011,"lang":"en","type":"article","venue":"Journal of Hydroinformatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Computer science; Markup language; Interoperability; Groundwater model; Groundwater; Database; World Wide Web; Aquifer; Engineering; Groundwater recharge; XML","score_opus":0.07367022282958591,"score_gpt":0.2831308317448775,"score_spread":0.2094606089152916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153220530","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006816104,0.00027799228,0.9733762,0.0020834194,0.00009740232,0.0004549728,0.0011947773,0.0073654233,0.008333642],"genre_scores_gemma":[0.06326382,0.0005896726,0.92698723,0.0009980326,0.0000475038,0.00061224285,0.0027341829,0.0009356623,0.0038316173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.995471,0.001889688,0.0008612112,0.00042052977,0.0010882214,0.00026947292],"domain_scores_gemma":[0.9934301,0.0030164502,0.00063936703,0.0014295633,0.001234147,0.00025037638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007814846,0.00069553626,0.00043132424,0.0020255637,0.0009653033,0.003890694,0.002290974,0.0015972591,0.00243203],"category_scores_gemma":[0.01150457,0.0007803244,0.0010403706,0.002154605,0.0027094267,0.006409995,0.003463461,0.0023641516,0.0014010192],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018646377,0.00011224424,0.0024464347,0.0009800191,0.00006767984,0.0012340752,0.00583819,0.0150099415,0.024145849,0.772878,0.02295425,0.15414694],"study_design_scores_gemma":[0.00007448231,0.00015607587,0.0009302711,0.0006499168,0.00008722244,0.0013499456,0.0012775251,0.05290501,0.057863846,0.16264565,0.7218979,0.00016218646],"about_ca_topic_score_codex":0.004610351,"about_ca_topic_score_gemma":0.004788286,"teacher_disagreement_score":0.007814846,"about_ca_system_score_codex":0.0012933668,"about_ca_system_score_gemma":0.003668026,"threshold_uncertainty_score":0.041329324},"labels":[],"label_agreement":null},{"id":"W2153237778","doi":"10.1007/978-3-540-34238-0_10","title":"Merging Hypermedia GIS with Spatial On-Line Analytical Processing: Towards Hypermedia SOLAP","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in geoinformation and cartography","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Online analytical processing; Hypermedia; Computer science; SQL; Process (computing); Database; Information retrieval; World Wide Web; Data science; Data mining; Data warehouse","score_opus":0.023609426847539347,"score_gpt":0.255139450728786,"score_spread":0.23153002388124666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153237778","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050253985,0.00020233996,0.98148406,0.0002682093,0.00004539047,0.00008089998,0.00015150676,0.004081291,0.0086608995],"genre_scores_gemma":[0.0704801,0.00047929317,0.9177838,0.0003499932,0.00007767186,0.000102347505,0.0015238953,0.0013326206,0.007870258],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99647933,0.0013600701,0.0002413059,0.00050787296,0.0012473244,0.00016423587],"domain_scores_gemma":[0.99614173,0.0011556672,0.00017876968,0.0012373258,0.0011300079,0.0001564982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032600516,0.0011910219,0.0010737681,0.004328525,0.0012798914,0.01066546,0.0034966979,0.0019829888,0.007855703],"category_scores_gemma":[0.007356624,0.0013543726,0.0017193607,0.007491791,0.0019226025,0.011032394,0.008746137,0.0015995397,0.0052171554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023371752,0.00036628128,0.0022339297,0.00069760723,0.00031783973,0.0005284671,0.00465044,0.024358762,0.023851126,0.08059839,0.015592723,0.8465707],"study_design_scores_gemma":[0.000042080792,0.00015144079,0.0011672655,0.00041702756,0.00032813975,0.00057496043,0.0035777236,0.41882378,0.104406394,0.25487235,0.21549878,0.0001401205],"about_ca_topic_score_codex":0.0050600753,"about_ca_topic_score_gemma":0.0056832493,"teacher_disagreement_score":0.01066546,"about_ca_system_score_codex":0.0011392599,"about_ca_system_score_gemma":0.002324968,"threshold_uncertainty_score":0.026279986},"labels":[],"label_agreement":null},{"id":"W2153748086","doi":"","title":"Semantic Science: machine understandable scientific theories and data","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Ontology; Publication; Semantic interoperability; Semantic data model; Information retrieval; Interoperability; Data science; World Wide Web; Epistemology","score_opus":0.0435055673278484,"score_gpt":0.3163481185078451,"score_spread":0.27284255117999673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153748086","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029605613,0.0096034445,0.9058597,0.042082526,0.0016801602,0.00031932082,0.0021501293,0.0015952011,0.033748966],"genre_scores_gemma":[0.122464366,0.019856645,0.8214453,0.011772468,0.004476025,0.0016017517,0.0075504435,0.00090695405,0.0099260695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9828172,0.008585508,0.0020208536,0.0018313373,0.0043038055,0.00044130682],"domain_scores_gemma":[0.9626077,0.024973325,0.0016827614,0.007548996,0.0024411916,0.0007460339],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.018226396,0.0016294352,0.0021114724,0.0105792545,0.0028867729,0.015705043,0.003818967,0.007460859,0.008013457],"category_scores_gemma":[0.04612583,0.0016024627,0.0028713045,0.0111700175,0.019613681,0.04741023,0.008116647,0.008066897,0.002761563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018514154,0.000017872528,0.00022516555,0.0002799055,0.000037085007,0.00013291485,0.00052068004,0.0010293953,0.00014835404,0.9751982,0.0068936716,0.015498243],"study_design_scores_gemma":[0.000010638954,0.00000536275,0.00007463282,0.00017740436,0.000011546328,0.000093778326,0.0001636779,0.0025698366,0.00021332341,0.95300305,0.043661017,0.000015771291],"about_ca_topic_score_codex":0.0036329199,"about_ca_topic_score_gemma":0.0017870518,"teacher_disagreement_score":0.9817736,"about_ca_system_score_codex":0.0042629787,"about_ca_system_score_gemma":0.0058303764,"threshold_uncertainty_score":0.09639156},"labels":[],"label_agreement":null},{"id":"W2154282723","doi":"10.1016/j.ijar.2009.05.007","title":"A framework for ontologically-grounded probabilistic matching","year":2009,"lang":"en","type":"article","venue":"International Journal of Approximate Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Probabilistic logic; Abstraction; Matching (statistics); Domain (mathematical analysis); Publication; Vocabulary; Construct (python library); Ontology; Data science; Theoretical computer science; Information retrieval; Artificial intelligence; Epistemology; Programming language; Linguistics; Mathematics","score_opus":0.029794245234360472,"score_gpt":0.32002467011574554,"score_spread":0.29023042488138506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154282723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046646406,0.000075608485,0.99792176,0.000104570405,0.000021909704,0.00004104392,0.00010761485,0.00040608595,0.0008549843],"genre_scores_gemma":[0.038139973,0.00026273687,0.959026,0.00012529975,0.00007350764,0.00014785871,0.00067998335,0.00019319239,0.0013515212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9908178,0.002226344,0.0010843099,0.0018714996,0.0034959246,0.0005041694],"domain_scores_gemma":[0.9910182,0.0035544676,0.0005495691,0.0029367781,0.0016389595,0.00030209916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074371356,0.0010157586,0.0020194396,0.0059950794,0.0024768184,0.0076691797,0.008260821,0.0036348503,0.008606348],"category_scores_gemma":[0.031519942,0.0016561876,0.004026624,0.008009906,0.0030512447,0.01397562,0.009270259,0.004000673,0.0030752658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074197844,0.00008329027,0.00045710197,0.00020051537,0.000123369,0.00023920837,0.00033212377,0.038141362,0.0015110722,0.84334564,0.003153004,0.112339236],"study_design_scores_gemma":[0.000020071651,0.000017749713,0.000096053096,0.000060486705,0.00006586836,0.00018904141,0.00007669218,0.20078106,0.0015334093,0.78594655,0.011176252,0.00003678384],"about_ca_topic_score_codex":0.0082783755,"about_ca_topic_score_gemma":0.009028599,"teacher_disagreement_score":0.008606348,"about_ca_system_score_codex":0.00229572,"about_ca_system_score_gemma":0.0040427847,"threshold_uncertainty_score":0.039331853},"labels":[],"label_agreement":null},{"id":"W2154828642","doi":"10.1109/icde.1988.105468","title":"RATIONALE: reasoning by explaining","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Prolog; Expert system; Computer science; Tree (set theory); Model-based reasoning; Root (linguistics); Reasoning system; Artificial intelligence; Domain (mathematical analysis); Knowledge acquisition; Domain knowledge; Legal expert system; Knowledge representation and reasoning; Machine learning; Mathematics","score_opus":0.018624099603677523,"score_gpt":0.2415893658494697,"score_spread":0.22296526624579216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154828642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008976283,0.00062368246,0.98159146,0.002860384,0.00019725613,0.0003025262,0.00018034266,0.0013018652,0.012044867],"genre_scores_gemma":[0.031898182,0.00095731544,0.9583648,0.000939938,0.0002249891,0.0005844077,0.00058926997,0.00031861904,0.006122526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9891412,0.0059555327,0.0007929714,0.001444308,0.0020934374,0.00057252136],"domain_scores_gemma":[0.98622096,0.008828108,0.00084102777,0.0023861765,0.0012403049,0.00048333945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014050304,0.0020283232,0.0011481789,0.0044208146,0.0031018709,0.011197184,0.0047398433,0.0045415675,0.01773394],"category_scores_gemma":[0.022065222,0.0015148793,0.0043508885,0.0024202205,0.010891134,0.018414997,0.0079479255,0.0052116094,0.005335752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004099598,0.00005989562,0.0002740764,0.00043034833,0.00006383589,0.00021532782,0.0013240078,0.0036988338,0.0006423678,0.9123644,0.010704013,0.070181765],"study_design_scores_gemma":[0.000061383806,0.00003698662,0.0001300409,0.0003879617,0.00008105893,0.00037767642,0.000399522,0.014139351,0.0016191462,0.8512877,0.13141812,0.00006100913],"about_ca_topic_score_codex":0.0039163115,"about_ca_topic_score_gemma":0.00393746,"teacher_disagreement_score":0.01773394,"about_ca_system_score_codex":0.002311952,"about_ca_system_score_gemma":0.00520085,"threshold_uncertainty_score":0.07430601},"labels":[],"label_agreement":null},{"id":"W2155371281","doi":"10.5194/isprsarchives-xxxix-b2-167-2012","title":"NON-SPATIAL AND GEOSPATIAL SEMANTIC QUERY OF HEALTH INFORMATION","year":2012,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Geospatial analysis; Computer science; Information retrieval; Spatial analysis; Data science; Geography; Cartography; Remote sensing","score_opus":0.01993689352131545,"score_gpt":0.26426813292080126,"score_spread":0.2443312393994858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155371281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08837827,0.0017579715,0.8675863,0.005438665,0.00023618998,0.0007102021,0.003535622,0.0029310693,0.029425671],"genre_scores_gemma":[0.7224111,0.0011554674,0.26537305,0.0009248889,0.00011144447,0.00025939383,0.003937856,0.0001351786,0.0056916038],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99580634,0.0014889683,0.0005465598,0.00039852975,0.0015927489,0.00016691253],"domain_scores_gemma":[0.99695086,0.0015431778,0.0002587319,0.00046914324,0.0006633455,0.000114664304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003616008,0.00038805482,0.000700651,0.0023884282,0.00082579954,0.0035339717,0.00091313524,0.0010330915,0.0033207324],"category_scores_gemma":[0.0068666227,0.00023159674,0.0008541616,0.0028914034,0.0011897037,0.005021688,0.0024274578,0.0006124612,0.00063619635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008550496,0.00051603676,0.0122791305,0.0015576639,0.00035493687,0.0017908864,0.0027761913,0.05233087,0.02334813,0.6276165,0.030424604,0.24614994],"study_design_scores_gemma":[0.00012012128,0.00018398836,0.0048173103,0.00026392716,0.00021143715,0.0010504217,0.0026002564,0.57706165,0.020736516,0.30249277,0.09038488,0.000076798395],"about_ca_topic_score_codex":0.0065633664,"about_ca_topic_score_gemma":0.0077795275,"teacher_disagreement_score":0.0065633664,"about_ca_system_score_codex":0.0013981762,"about_ca_system_score_gemma":0.0015796346,"threshold_uncertainty_score":0.019123495},"labels":[],"label_agreement":null},{"id":"W2155405074","doi":"10.1109/hicss.2008.174","title":"Formalizing the Role of Goals in the Development of Domain-Specific  Ontological Frameworks","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ontology; Computer science; Exploit; Domain (mathematical analysis); Scheme (mathematics); Conceptual framework; Process ontology; Software engineering; Knowledge management; Domain knowledge; Epistemology; Mathematics","score_opus":0.03526461256883561,"score_gpt":0.2489450227056927,"score_spread":0.21368041013685707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155405074","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027831919,0.00014733954,0.9902596,0.00093894254,0.000043284752,0.0001702661,0.00004919008,0.00021209712,0.0053960965],"genre_scores_gemma":[0.06852962,0.00029180723,0.92911845,0.00020955982,0.000029845487,0.00028272087,0.0001806174,0.00008204461,0.0012752949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9896249,0.00563815,0.0013525257,0.00091260666,0.0017459155,0.00072596123],"domain_scores_gemma":[0.99060833,0.00417633,0.0011128857,0.0020399492,0.0014235246,0.00063898234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021443706,0.001222475,0.0006697464,0.0032646009,0.0031564012,0.006880134,0.003255487,0.0025058456,0.0019395375],"category_scores_gemma":[0.014913452,0.0014001789,0.002290221,0.0024470494,0.008385472,0.014793397,0.007347951,0.005668634,0.00078471267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075501857,0.00001932573,0.00020506523,0.00007510154,0.000012121803,0.00007888782,0.0012045774,0.003279192,0.00043175687,0.98471373,0.00043962133,0.009533019],"study_design_scores_gemma":[0.000024827546,0.000032277694,0.0002068987,0.0003927021,0.000052086525,0.00018380536,0.0010441181,0.040228926,0.0029757023,0.90526253,0.049540903,0.00005527534],"about_ca_topic_score_codex":0.006844202,"about_ca_topic_score_gemma":0.009498683,"teacher_disagreement_score":0.021443706,"about_ca_system_score_codex":0.0029946237,"about_ca_system_score_gemma":0.0061760033,"threshold_uncertainty_score":0.11340654},"labels":[],"label_agreement":null},{"id":"W2155928344","doi":"10.1061/(asce)cp.1943-5487.0000048","title":"Merging Architectural, Engineering, and Construction Ontologies","year":2009,"lang":"en","type":"article","venue":"Journal of Computing in Civil Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Interoperability; Computer science; Upper ontology; Software engineering; Domain (mathematical analysis); Integrator; Ontology-based data integration; Heuristic; Ontology alignment; Process ontology; Systems engineering; Information retrieval; World Wide Web; Engineering; Domain knowledge; Artificial intelligence; Mathematics","score_opus":0.007071884458084086,"score_gpt":0.21464109910830384,"score_spread":0.20756921465021974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155928344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06370189,0.00033114292,0.9078338,0.0008730788,0.000060211412,0.00039891593,0.00013188108,0.0013389718,0.025330013],"genre_scores_gemma":[0.2148485,0.00043091664,0.7802971,0.0002598545,0.000016563015,0.00022599775,0.00084889703,0.00029874622,0.002773483],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9903162,0.0033439426,0.0010294373,0.0008431738,0.0039958656,0.0004713031],"domain_scores_gemma":[0.98871094,0.0046885624,0.00076709705,0.0033260603,0.0021858127,0.00032167672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013815711,0.0005396334,0.0005283404,0.0051528867,0.0016839267,0.0048828307,0.0015954389,0.0010936158,0.0015633599],"category_scores_gemma":[0.025001703,0.0007681487,0.0007706129,0.0039690603,0.0021036942,0.010753692,0.0062784613,0.0016195709,0.00041997686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016162587,0.0002640509,0.009556611,0.00036843529,0.00008963191,0.0007977701,0.019952819,0.012654328,0.015702337,0.38401455,0.0044968966,0.5519409],"study_design_scores_gemma":[0.00008419784,0.00024747843,0.010571991,0.00084283605,0.00035103466,0.001662567,0.016693654,0.1292356,0.04215414,0.41100085,0.3869482,0.00020742306],"about_ca_topic_score_codex":0.005518305,"about_ca_topic_score_gemma":0.0068155862,"teacher_disagreement_score":0.013815711,"about_ca_system_score_codex":0.0025725192,"about_ca_system_score_gemma":0.0062241554,"threshold_uncertainty_score":0.07306534},"labels":[],"label_agreement":null},{"id":"W215621206","doi":"10.1007/978-3-319-03680-9_36","title":"Conjunctive Query Answering in ${\\mathcal{CFD}}_{nc}$ : A PTIME Description Logic with Functional Constraints and Disjointness","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Negation; P; Disjoint sets; Computer science; Conjunctive query; Theoretical computer science; Computational complexity theory; Programming language; Algebra over a field; Discrete mathematics; Information retrieval; Mathematics; Algorithm; Time complexity; Pure mathematics; Relational database","score_opus":0.025815512098021215,"score_gpt":0.21846470189321188,"score_spread":0.19264918979519066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W215621206","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016958896,0.0006534673,0.952404,0.0041111824,0.00028793502,0.0003655196,0.0032917117,0.0041976664,0.017729582],"genre_scores_gemma":[0.2670486,0.00077376014,0.6994419,0.0024712635,0.00029590735,0.0004973993,0.006831861,0.001365754,0.021273576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955577,0.0011726894,0.0004645912,0.0009443488,0.0013624429,0.0004982276],"domain_scores_gemma":[0.9958539,0.0026296356,0.00018689324,0.0005893751,0.00060960633,0.000130674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037996792,0.0011018751,0.0016091228,0.0014611641,0.0014516943,0.006117868,0.0043673036,0.0022444404,0.016226824],"category_scores_gemma":[0.00840073,0.001644989,0.0040835855,0.0028345047,0.003036716,0.012442461,0.005411536,0.004284199,0.0026757545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034370122,0.00021827861,0.00056430115,0.0008272088,0.00015479792,0.00044170345,0.00060463906,0.03324074,0.004325073,0.8336424,0.026467806,0.09916929],"study_design_scores_gemma":[0.00015539226,0.000043477245,0.00022449865,0.00010862445,0.0001837288,0.00032204905,0.00026710174,0.22483459,0.0071947314,0.7363932,0.030180175,0.0000923753],"about_ca_topic_score_codex":0.023576474,"about_ca_topic_score_gemma":0.02908743,"teacher_disagreement_score":0.023576474,"about_ca_system_score_codex":0.004163776,"about_ca_system_score_gemma":0.003053643,"threshold_uncertainty_score":0.054284155},"labels":[],"label_agreement":null},{"id":"W2156357077","doi":"10.1007/3-540-36285-1_7","title":"On Reasoning about Structural Equality in XML: A Description Logic Approach","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ackermann function; Computer science; Datalog; Satisfiability; Description logic; XML; Feature (linguistics); Theoretical computer science; Boolean satisfiability problem; Programming language; Algorithm; Mathematics","score_opus":0.04983831591513789,"score_gpt":0.26929634867961094,"score_spread":0.21945803276447307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156357077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049899896,0.0011758717,0.98326796,0.0020842545,0.00015390513,0.00013453963,0.00043472004,0.0006628569,0.007095947],"genre_scores_gemma":[0.16376007,0.0036932975,0.8184435,0.0018963724,0.00048456606,0.00037240266,0.0029702357,0.00055584253,0.007823741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9899809,0.0031201716,0.0014363785,0.0013923469,0.0031578229,0.00091233436],"domain_scores_gemma":[0.98762614,0.009266392,0.0004359809,0.0014165435,0.0009973975,0.00025751736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009517485,0.0019315998,0.0024657687,0.004931544,0.0028581223,0.008349407,0.00868008,0.004663923,0.0089581255],"category_scores_gemma":[0.019225698,0.0027081047,0.00674561,0.007592844,0.007798175,0.041452106,0.008982724,0.0063643996,0.001229561],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000767129,0.00012668027,0.0004505603,0.00046249636,0.00014249567,0.00048801675,0.0008958317,0.012294337,0.00090060814,0.9199635,0.0044716657,0.059727196],"study_design_scores_gemma":[0.000039644972,0.00001838304,0.00010142214,0.00012535087,0.00016037728,0.00023890265,0.00030717102,0.037097547,0.00211828,0.9505377,0.009211282,0.00004397964],"about_ca_topic_score_codex":0.012400871,"about_ca_topic_score_gemma":0.009406891,"teacher_disagreement_score":0.012400871,"about_ca_system_score_codex":0.0038473948,"about_ca_system_score_gemma":0.00247107,"threshold_uncertainty_score":0.050333917},"labels":[],"label_agreement":null},{"id":"W2157631542","doi":"10.1145/1807167.1807213","title":"Schema clustering and retrieval for multi-domain pay-as-you-go data integration systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data integration; Cluster analysis; Schema (genetic algorithms); Data mining; Information retrieval; Conceptual schema; Schema matching; Probabilistic logic; Machine learning; Artificial intelligence","score_opus":0.07672508189442405,"score_gpt":0.3239843287210066,"score_spread":0.2472592468265825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157631542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018910646,0.00044553517,0.9724691,0.00039658285,0.000023359515,0.00040692752,0.0002636742,0.005738872,0.0013454459],"genre_scores_gemma":[0.14296445,0.000287704,0.85325843,0.00022338839,0.000024070237,0.00028766162,0.001544255,0.00027782342,0.0011322275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923153,0.0022585008,0.0008557061,0.0013033377,0.002947408,0.00031975433],"domain_scores_gemma":[0.9897193,0.002834649,0.00083883293,0.0040926333,0.0022423258,0.0002723206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008950927,0.0007184206,0.0014727918,0.005275405,0.0021739171,0.0037025202,0.00325493,0.0021201032,0.0022747437],"category_scores_gemma":[0.018910391,0.00080556265,0.0015164858,0.005814392,0.001082296,0.0076629804,0.0035590765,0.0016845248,0.0013869393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061063,0.00070598954,0.009400334,0.00063751166,0.00038282797,0.00038410863,0.002102494,0.09479935,0.024338314,0.0718,0.015995396,0.77884305],"study_design_scores_gemma":[0.00009194559,0.000127259,0.0027083175,0.00007148666,0.000111704736,0.0006593585,0.0010333158,0.90520644,0.025108898,0.04261769,0.022173174,0.00009040606],"about_ca_topic_score_codex":0.0072730444,"about_ca_topic_score_gemma":0.009239788,"teacher_disagreement_score":0.008950927,"about_ca_system_score_codex":0.0030405107,"about_ca_system_score_gemma":0.0025986542,"threshold_uncertainty_score":0.04733765},"labels":[],"label_agreement":null},{"id":"W2157958392","doi":"10.1109/tlt.2011.21","title":"An Approach to Folksonomy-Based Ontology Maintenance for Learning Environments","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Royal Military College of Canada; Athabasca University","funders":"","keywords":"Computer science; Ontology; Folksonomy; Usability; Upper ontology; Process ontology; Ontology-based data integration; World Wide Web; Semantic Web; Human–computer interaction","score_opus":0.03614750268683599,"score_gpt":0.24236956760111827,"score_spread":0.2062220649142823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157958392","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027620497,0.00008776284,0.9934674,0.00028455103,0.000034774344,0.0001482706,0.000079160345,0.0017824536,0.0013537012],"genre_scores_gemma":[0.025402967,0.00007954519,0.97212607,0.00006472556,0.000017955583,0.00015800995,0.00028542656,0.00025841556,0.001606926],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9929073,0.0018906586,0.00069923763,0.0013481576,0.002928343,0.0002262629],"domain_scores_gemma":[0.9867849,0.0032166168,0.0009926257,0.0051951674,0.0034569504,0.00035385162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006504596,0.00076692214,0.0010725525,0.004898846,0.0023370986,0.005627788,0.0045476356,0.0019359565,0.0025825717],"category_scores_gemma":[0.024181014,0.0008716779,0.0015448763,0.004749131,0.0020011466,0.009971932,0.0054793213,0.002565667,0.0016102861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015809321,0.00049710553,0.0026973125,0.0005945825,0.00015668919,0.00036713685,0.006935436,0.013622062,0.01729412,0.1805769,0.009462134,0.7676385],"study_design_scores_gemma":[0.000089439345,0.00018661054,0.002986713,0.00038638516,0.00023584678,0.0018167172,0.0031379878,0.41637975,0.043384686,0.25840086,0.27267072,0.00032437997],"about_ca_topic_score_codex":0.00407364,"about_ca_topic_score_gemma":0.0069909897,"teacher_disagreement_score":0.006504596,"about_ca_system_score_codex":0.001833251,"about_ca_system_score_gemma":0.0026180358,"threshold_uncertainty_score":0.034399986},"labels":[],"label_agreement":null},{"id":"W2158452540","doi":"10.1007/978-3-642-02976-9_23","title":"Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Health care; Semantic Web; Knowledge management; Clinical decision support system; Ontology; Knowledge-based systems; Open Knowledge Base Connectivity; Knowledge integration; Medical knowledge; Domain knowledge; Data science; Decision support system; Information retrieval; Personal knowledge management; Artificial intelligence; Medicine; Organizational learning","score_opus":0.07929079979139456,"score_gpt":0.3778479465919996,"score_spread":0.2985571468006051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158452540","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012544853,0.0014070264,0.96927476,0.0018316683,0.000136309,0.00019652845,0.0003705427,0.0015033013,0.012734922],"genre_scores_gemma":[0.12972647,0.0020140437,0.8613631,0.00048707862,0.000056845267,0.00010980173,0.0017729095,0.00037900312,0.0040907385],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974734,0.00089807186,0.00043913483,0.00028419975,0.0007947057,0.000110461195],"domain_scores_gemma":[0.99543864,0.0021220704,0.00027887663,0.001433175,0.0005769829,0.0001503582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045608585,0.0005753335,0.00067258393,0.003334618,0.00079453504,0.0060475506,0.0017590616,0.0016724182,0.0023346872],"category_scores_gemma":[0.0069897184,0.0007122417,0.0017173984,0.0041261544,0.0017476503,0.0074326736,0.0053225732,0.0017499444,0.00116374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012765347,0.0003956314,0.00267324,0.0013510298,0.0002742736,0.000961814,0.0039392724,0.014819691,0.014160234,0.25760925,0.009351895,0.694336],"study_design_scores_gemma":[0.000055401033,0.0001269345,0.002164239,0.0012023243,0.0004684613,0.0018990969,0.0020945903,0.15573213,0.041272394,0.5318394,0.2630325,0.00011261829],"about_ca_topic_score_codex":0.0013296264,"about_ca_topic_score_gemma":0.001725984,"teacher_disagreement_score":0.0060475506,"about_ca_system_score_codex":0.0007906299,"about_ca_system_score_gemma":0.0019177959,"threshold_uncertainty_score":0.02412039},"labels":[],"label_agreement":null},{"id":"W2158757697","doi":"10.1109/ccece.2007.390","title":"Tools for Industrial Knowledge Modeling and Management","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Domain knowledge; Knowledge modeling; Software engineering; Knowledge engineering; Knowledge management; Open Knowledge Base Connectivity; Knowledge sharing; Personal knowledge management; Knowledge extraction; Organizational learning; Artificial intelligence","score_opus":0.1443986807112909,"score_gpt":0.3185365987374147,"score_spread":0.1741379180261238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158757697","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007000152,0.00037413806,0.9809676,0.00028595503,0.00005481641,0.00023944445,0.00032401746,0.009887782,0.007166252],"genre_scores_gemma":[0.016487231,0.0010430356,0.97161895,0.00016678133,0.000053283693,0.00076376885,0.0023612813,0.0013152686,0.0061904113],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957807,0.0008862295,0.00062757195,0.0005775556,0.0018662546,0.00026159023],"domain_scores_gemma":[0.993349,0.0027483024,0.0003981968,0.0024026665,0.00087994966,0.0002218708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006032087,0.0017659747,0.0015564174,0.004896046,0.0020043554,0.008134841,0.0049880245,0.002464942,0.012578859],"category_scores_gemma":[0.012617592,0.002302038,0.0029316717,0.0036093448,0.0017909101,0.00928699,0.0057845064,0.0042771464,0.007387875],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009748237,0.00026962635,0.00096476736,0.0011418152,0.00017603194,0.0005574945,0.0015568179,0.03192003,0.004131165,0.43438026,0.03563396,0.48917058],"study_design_scores_gemma":[0.000115956616,0.000064545915,0.00053102354,0.00082177855,0.00011610289,0.000669071,0.00029336085,0.15389958,0.008189756,0.29800418,0.53716046,0.00013422845],"about_ca_topic_score_codex":0.004650384,"about_ca_topic_score_gemma":0.0045202794,"teacher_disagreement_score":0.012578859,"about_ca_system_score_codex":0.0020933333,"about_ca_system_score_gemma":0.003605675,"threshold_uncertainty_score":0.042080402},"labels":[],"label_agreement":null},{"id":"W2158915197","doi":"10.1145/1067268.1067274","title":"The TREC terabyte retrieval track","year":2005,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Terabyte; Computer science; Information retrieval; Search engine indexing; Track (disk drive); Context (archaeology); Automatic indexing","score_opus":0.015756660617878095,"score_gpt":0.2564480901007232,"score_spread":0.24069142948284514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158915197","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011031602,0.049765535,0.033570793,0.09073599,0.057576876,0.009442914,0.3891985,0.031090204,0.32758754],"genre_scores_gemma":[0.017893141,0.011029069,0.028472787,0.013583503,0.007287991,0.003773618,0.49367177,0.0039626122,0.42032555],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98840415,0.0021679995,0.0005571157,0.0010335009,0.006743583,0.0010935946],"domain_scores_gemma":[0.96740204,0.0024373513,0.00084577163,0.0028328667,0.022664182,0.0038178142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01681475,0.002216415,0.0030089468,0.009058461,0.0043119355,0.009672847,0.004690668,0.005324492,0.10099631],"category_scores_gemma":[0.023544244,0.00091026723,0.0014488113,0.0076973257,0.0014878531,0.007825801,0.0034129152,0.0050771507,0.11695594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033690812,0.00003690179,0.000054256703,0.000095574476,0.000008409194,0.000012589528,0.00001467198,0.000080353864,0.00036691115,0.00035904458,0.9882357,0.010701834],"study_design_scores_gemma":[0.00018754425,0.00016080904,0.00275437,0.00024754423,0.00004604318,0.00009900594,0.00016394163,0.001648083,0.0024186515,0.0020693059,0.9901191,0.00008551793],"about_ca_topic_score_codex":0.11485223,"about_ca_topic_score_gemma":0.1510261,"teacher_disagreement_score":0.11485223,"about_ca_system_score_codex":0.008704338,"about_ca_system_score_gemma":0.01900739,"threshold_uncertainty_score":0.3378663},"labels":[],"label_agreement":null},{"id":"W2159275187","doi":"10.1109/icde.2007.369046","title":"Creating Nested Mappings with Clio","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Schema (genetic algorithms); IBM; Data integration; Data exchange; Programming language; Data modeling; Database schema; Information retrieval; Theoretical computer science; Database; Database design","score_opus":0.015127832469386999,"score_gpt":0.24280837685554704,"score_spread":0.22768054438616003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159275187","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009247159,0.00013531603,0.9524579,0.00030769527,0.00015642837,0.00027120113,0.0005416839,0.023572735,0.013309903],"genre_scores_gemma":[0.08303087,0.00019804745,0.8964809,0.0004131507,0.000043675278,0.00040364265,0.0027942408,0.007808116,0.008827353],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99599767,0.00099744,0.00044816273,0.00096509844,0.0012987475,0.00029286838],"domain_scores_gemma":[0.9890892,0.0039894897,0.00039450097,0.004687349,0.0014486316,0.00039075155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005245187,0.0010773779,0.0008351663,0.0019795115,0.0013861108,0.003794072,0.0026086732,0.001235095,0.013962577],"category_scores_gemma":[0.01884411,0.001259906,0.0020030416,0.0016700919,0.0018944021,0.008878355,0.009817597,0.0022538388,0.0048151375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072933914,0.00060567964,0.00910784,0.0015653354,0.00025136318,0.0033106236,0.010711213,0.020411804,0.03581613,0.3574871,0.050881337,0.50912225],"study_design_scores_gemma":[0.00017629362,0.00016082177,0.00085191586,0.0003899721,0.00015168007,0.0017875365,0.0020337426,0.16135518,0.06737575,0.25774828,0.50780314,0.00016576325],"about_ca_topic_score_codex":0.002140289,"about_ca_topic_score_gemma":0.0030994934,"teacher_disagreement_score":0.013962577,"about_ca_system_score_codex":0.0009412523,"about_ca_system_score_gemma":0.0016778056,"threshold_uncertainty_score":0.04670942},"labels":[],"label_agreement":null},{"id":"W2159637310","doi":"10.1145/2132176.2132312","title":"Meta-index views on digital domains","year":2012,"lang":"en","type":"article","venue":"Proceedings of the 2012 iConference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Domain (mathematical analysis); Computer science; Vocabulary; Index (typography); Information retrieval; World Wide Web; Interface (matter); Natural language processing; Linguistics; Mathematics","score_opus":0.09552335361351229,"score_gpt":0.26972183400613975,"score_spread":0.17419848039262747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159637310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034958042,0.0023236363,0.87544733,0.0013951148,0.00019648013,0.0002620041,0.016257927,0.020992666,0.04816684],"genre_scores_gemma":[0.30597085,0.0038101273,0.6469747,0.0007249853,0.0002379629,0.0004632849,0.02233196,0.0043199398,0.015166158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909234,0.0002241223,0.00013015937,0.0001222522,0.00037283925,0.00005833647],"domain_scores_gemma":[0.99636394,0.0014054351,0.00018883802,0.0012826237,0.0005231079,0.00023602975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015650078,0.0006456594,0.00085293315,0.0049545425,0.00075087475,0.00542471,0.0011708813,0.00085540174,0.009725376],"category_scores_gemma":[0.0063467473,0.0005239754,0.00085644564,0.0052361507,0.00061616447,0.011954039,0.0042260233,0.0013591135,0.001985372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061451114,0.0001619822,0.00557359,0.0010255091,0.00015018698,0.0006636028,0.007960925,0.010571623,0.016856598,0.55943644,0.069887765,0.32709718],"study_design_scores_gemma":[0.000110342524,0.00009040772,0.002232285,0.00047370256,0.00013884432,0.0009298416,0.0020543975,0.08263893,0.021534098,0.31245455,0.5772399,0.00010274251],"about_ca_topic_score_codex":0.0017734111,"about_ca_topic_score_gemma":0.004737677,"teacher_disagreement_score":0.009725376,"about_ca_system_score_codex":0.0007753119,"about_ca_system_score_gemma":0.00073303445,"threshold_uncertainty_score":0.0325346},"labels":[],"label_agreement":null},{"id":"W2159833638","doi":"10.5555/1182635.1164155","title":"Putting context into schema matching","year":2006,"lang":"en","type":"article","venue":"Edinburgh Research Explorer (University of Edinburgh)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Schema matching; Computer science; Schema (genetic algorithms); Schema migration; Star schema; Database schema; Conceptual schema; Matching (statistics); Optimal matching; Information schema; Schema evolution; Data mining; Semi-structured model; Data integration; Data exchange; Information retrieval; Database; Mathematics; Gender schema theory; Database design","score_opus":0.06575477420670861,"score_gpt":0.29723014251706326,"score_spread":0.23147536831035465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159833638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016179617,0.0026424539,0.96234053,0.0037213827,0.00041827201,0.00020315763,0.00024704964,0.0014408759,0.012806528],"genre_scores_gemma":[0.17512907,0.002117923,0.81753576,0.0012213216,0.0002518091,0.00017895966,0.0005851466,0.00046918116,0.0025107602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98725164,0.0065127197,0.0010790686,0.0022537438,0.0022581704,0.0006445256],"domain_scores_gemma":[0.9847206,0.0067588254,0.0007622058,0.0059157675,0.0014418695,0.00040073693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009966208,0.0007919687,0.0009896174,0.003430908,0.0022847196,0.00638675,0.0025012828,0.002254361,0.004687808],"category_scores_gemma":[0.03313883,0.00087070913,0.0014201738,0.0044036615,0.0045920783,0.017021766,0.009684396,0.003233915,0.0009582782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013279606,0.000057204114,0.002586911,0.0003716059,0.00010000847,0.00038678065,0.002235158,0.0074572526,0.003934687,0.7940408,0.0045410967,0.18415576],"study_design_scores_gemma":[0.000039652245,0.00006710549,0.00073519425,0.0003403716,0.000114039954,0.0007747073,0.0011681528,0.028508058,0.00759726,0.8312987,0.12928917,0.0000675645],"about_ca_topic_score_codex":0.0039234236,"about_ca_topic_score_gemma":0.0039481735,"teacher_disagreement_score":0.009966208,"about_ca_system_score_codex":0.0013545183,"about_ca_system_score_gemma":0.002356967,"threshold_uncertainty_score":0.052706957},"labels":[],"label_agreement":null},{"id":"W2159937564","doi":"10.1109/cbms.2007.70","title":"Medical Knowledge Morphing via a Semantic Web Framework","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE Symposium on Computer-Based Medical Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Morphing; Computer science; Domain knowledge; Knowledge base; Ontology; Leverage (statistics); Semantic Web; Modalities; Knowledge management; Open Knowledge Base Connectivity; Information retrieval; Artificial intelligence; Personal knowledge management; Organizational learning","score_opus":0.016759399393612467,"score_gpt":0.2744476933310398,"score_spread":0.2576882939374273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159937564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028801144,0.00056473823,0.9854939,0.001684737,0.000077497454,0.00013362346,0.00017566163,0.0011963528,0.007793325],"genre_scores_gemma":[0.090389095,0.0010514093,0.90395504,0.0005537416,0.00012610422,0.00021813513,0.0006871937,0.00015902135,0.0028601768],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963444,0.001415292,0.00046679657,0.00051998574,0.0010558693,0.00019769519],"domain_scores_gemma":[0.9972051,0.001310853,0.0002004815,0.0007180046,0.00036644188,0.00019916776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005651443,0.0006873833,0.00080198044,0.0045719496,0.0017767999,0.007417288,0.0020219465,0.0020654486,0.0026486055],"category_scores_gemma":[0.00507293,0.0006578091,0.0023360192,0.0034854475,0.0042307777,0.009537889,0.004787009,0.0023343207,0.0008570705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060917842,0.00008647443,0.00037840352,0.00021759374,0.000082288156,0.0007391068,0.00080345094,0.014869678,0.0025671988,0.8833387,0.003902713,0.09295345],"study_design_scores_gemma":[0.000034046752,0.00003137659,0.00025250236,0.00019867944,0.00009624907,0.0005474617,0.00039828062,0.10084215,0.004543069,0.8024912,0.09051196,0.000052987973],"about_ca_topic_score_codex":0.0044310256,"about_ca_topic_score_gemma":0.0040970873,"teacher_disagreement_score":0.007417288,"about_ca_system_score_codex":0.0015617469,"about_ca_system_score_gemma":0.0030605958,"threshold_uncertainty_score":0.029888034},"labels":[],"label_agreement":null},{"id":"W2160147319","doi":"10.1109/icdar.1993.395773","title":"Document structures: A survey","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Key (lock); Information retrieval; Document Structure Description; World Wide Web; XML","score_opus":0.047678682712150214,"score_gpt":0.25439172787140774,"score_spread":0.20671304515925754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160147319","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006764068,0.8685514,0.070601925,0.0034736334,0.0009161205,0.00023419705,0.0022773282,0.0015116459,0.04566963],"genre_scores_gemma":[0.033168823,0.86342686,0.07847367,0.0014066505,0.0016652091,0.00031946105,0.005424753,0.000577193,0.015537362],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99603623,0.0007250025,0.0006497257,0.0006536198,0.0017516564,0.00018377582],"domain_scores_gemma":[0.9896792,0.0065317606,0.0006245969,0.000820538,0.0019888114,0.00035516123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027296748,0.0009033375,0.0013334741,0.0137846265,0.0012916243,0.0067502824,0.0019384946,0.0017198552,0.007264992],"category_scores_gemma":[0.009600761,0.0009468126,0.00088319526,0.023172319,0.0015974012,0.014427496,0.0016718036,0.0017411313,0.00562118],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007705705,0.000092573544,0.001353605,0.005376249,0.000051853833,0.00016994664,0.0008523348,0.0014528163,0.0013373751,0.058253635,0.04320563,0.887777],"study_design_scores_gemma":[0.000016038579,0.00006538484,0.0016271648,0.0021768992,0.000045314388,0.0015376792,0.0005324185,0.0013089033,0.0011901805,0.037951473,0.95350486,0.000043698277],"about_ca_topic_score_codex":0.0038790628,"about_ca_topic_score_gemma":0.002497311,"teacher_disagreement_score":0.0137846265,"about_ca_system_score_codex":0.0025600428,"about_ca_system_score_gemma":0.0030005933,"threshold_uncertainty_score":0.024303854},"labels":[],"label_agreement":null},{"id":"W2160705565","doi":"10.1109/icif.2010.5712081","title":"Ontology alignment in geographical hard-soft information fusion systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Ontology; Information retrieval; Ontology alignment; Information system; Fusion; Artificial intelligence; Process ontology; Engineering; Semantic Web; Linguistics","score_opus":0.010207932864088245,"score_gpt":0.22404832846206602,"score_spread":0.21384039559797777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160705565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024025135,0.0004747653,0.9644589,0.0017233373,0.000070314905,0.00016277158,0.00021075722,0.0011324844,0.007741544],"genre_scores_gemma":[0.40890095,0.0005883335,0.5855369,0.00052514544,0.00007999905,0.00019970724,0.0010430118,0.00021879358,0.0029070675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98624504,0.0055992166,0.0016959016,0.0017206806,0.0041510738,0.0005880494],"domain_scores_gemma":[0.99017555,0.003949265,0.0011687491,0.0028241777,0.0015208693,0.00036138305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013122945,0.0005040639,0.0009333284,0.0032753074,0.0022903222,0.008380136,0.002128979,0.0018717794,0.002092715],"category_scores_gemma":[0.02392184,0.00071838434,0.0011826684,0.0050713345,0.004093282,0.014210271,0.009474399,0.0024449297,0.0008073535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001642612,0.00012726843,0.0044361334,0.00031851948,0.00016116555,0.00066815916,0.0041563995,0.05237708,0.0037817208,0.6937399,0.00432273,0.23574667],"study_design_scores_gemma":[0.000028709515,0.000042702744,0.0013042482,0.00012097687,0.00007615093,0.00030757065,0.0014846375,0.22896196,0.006050889,0.72866786,0.032880045,0.00007427036],"about_ca_topic_score_codex":0.009443606,"about_ca_topic_score_gemma":0.0068725143,"teacher_disagreement_score":0.013122945,"about_ca_system_score_codex":0.0029919967,"about_ca_system_score_gemma":0.0029264395,"threshold_uncertainty_score":0.06940162},"labels":[],"label_agreement":null},{"id":"W2160963966","doi":"10.1109/itcc.2004.1286456","title":"Dynamic identification of correspondence assertions for electronic commerce data integration","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Schema (genetic algorithms); Data integration; Exploit; Ontology-based data integration; Ontology; Information retrieval; Identification (biology); Information integration; Data mining; Theoretical computer science; Semantic Web","score_opus":0.04125735611507606,"score_gpt":0.33270641245176424,"score_spread":0.29144905633668816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160963966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019138271,0.00010682112,0.97706884,0.0005905591,0.000041449173,0.00015129815,0.000059191152,0.0016537451,0.0011897924],"genre_scores_gemma":[0.19961342,0.00012132416,0.799026,0.00015192534,0.000036005506,0.00013408424,0.00027129066,0.00014176201,0.0005042059],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9906579,0.00398576,0.0012700115,0.0010982144,0.002717109,0.0002709885],"domain_scores_gemma":[0.9813487,0.010769822,0.0013909219,0.003752713,0.0023761096,0.0003616501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012793367,0.0004186895,0.00069289457,0.002912001,0.0022968529,0.005595589,0.0020315063,0.0016403862,0.001806324],"category_scores_gemma":[0.029354429,0.0010662478,0.0015503516,0.0019075422,0.0024829712,0.009141449,0.004179637,0.0020691375,0.0006065805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032623703,0.00057920814,0.0059529245,0.00034390693,0.00013707593,0.0012931259,0.0027557416,0.07198855,0.02268949,0.5804859,0.00563779,0.3078101],"study_design_scores_gemma":[0.0000531013,0.00007400682,0.00051312597,0.00011474508,0.000076898206,0.00048813163,0.00043171665,0.7970356,0.019234223,0.16932163,0.0125850765,0.000071722],"about_ca_topic_score_codex":0.0027695205,"about_ca_topic_score_gemma":0.0033491831,"teacher_disagreement_score":0.012793367,"about_ca_system_score_codex":0.0021334735,"about_ca_system_score_gemma":0.0028909263,"threshold_uncertainty_score":0.0676586},"labels":[],"label_agreement":null},{"id":"W2160997301","doi":"10.1109/icde.2007.369059","title":"μBE: User Guided Source Selection and Schema Mediation for Internet Scale Data Integration","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data integration; Schema (genetic algorithms); Iterative and incremental development; Data mining; User interface; The Internet; Optimization problem; Information retrieval; Algorithm; Software engineering; World Wide Web; Programming language","score_opus":0.05236232831897631,"score_gpt":0.31466452199863515,"score_spread":0.26230219367965885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160997301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006562255,0.00013814951,0.9755416,0.0002508703,0.000015638776,0.00015666265,0.00013710058,0.015564493,0.0016331987],"genre_scores_gemma":[0.058386914,0.00014089032,0.93803,0.00019909802,0.000009026637,0.000306597,0.0004687987,0.001402556,0.0010561903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9943593,0.0032281652,0.00031947868,0.00044589824,0.0014651378,0.0001820383],"domain_scores_gemma":[0.9903132,0.0061538536,0.00036653588,0.0022104322,0.00074364303,0.00021237943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101947775,0.0016087788,0.0011482851,0.0023978918,0.0011947983,0.0035310055,0.0032340384,0.0020978006,0.0071292785],"category_scores_gemma":[0.024543531,0.0010949861,0.0010227861,0.0024519316,0.0012504637,0.005335026,0.006789244,0.001760521,0.0023125757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013830801,0.0009245276,0.00519673,0.0011996862,0.0003909852,0.0011973305,0.0059713656,0.0363821,0.057070617,0.054822307,0.03746195,0.7979994],"study_design_scores_gemma":[0.00051736605,0.0002604142,0.0017803517,0.00031577205,0.00010333707,0.0012488092,0.0017100017,0.67748344,0.08760259,0.08623181,0.14243856,0.00030750645],"about_ca_topic_score_codex":0.002112237,"about_ca_topic_score_gemma":0.0034004902,"teacher_disagreement_score":0.0101947775,"about_ca_system_score_codex":0.0005931694,"about_ca_system_score_gemma":0.00137117,"threshold_uncertainty_score":0.0539158},"labels":[],"label_agreement":null},{"id":"W2161041115","doi":"10.1002/asi.21635","title":"Complex concepts into basic concepts","year":2011,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"sort; Computer science; Epistemology; Discipline; Subject (documents); Set (abstract data type); Key (lock); Sociology; Obstacle; Cognitive science; Data science; Psychology; Social science; World Wide Web; Information retrieval","score_opus":0.033339209761645505,"score_gpt":0.3100857200864524,"score_spread":0.2767465103248069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161041115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05031368,0.009226586,0.45887217,0.027127651,0.0031893603,0.00054377085,0.0010882207,0.0005282006,0.44911033],"genre_scores_gemma":[0.6950454,0.004993985,0.2670266,0.004812391,0.0015082514,0.0011015073,0.0012491675,0.00022973744,0.024032895],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99439454,0.0023693568,0.0005445956,0.00080243027,0.0015474536,0.00034166354],"domain_scores_gemma":[0.9885888,0.005806403,0.0011387069,0.0015815147,0.00235731,0.00052723894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058984207,0.0008586105,0.0006279836,0.0056987884,0.0030272966,0.008771958,0.001679625,0.0019036797,0.010180877],"category_scores_gemma":[0.01168922,0.00036034948,0.0010683226,0.00519862,0.026411023,0.021247506,0.0043667504,0.0051585953,0.0016063764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042178294,0.0000042018423,0.00010111782,0.000045478682,0.0000029866535,0.000013924288,0.0010494014,0.00009620596,0.0000726513,0.9939268,0.0012301902,0.0034528018],"study_design_scores_gemma":[0.000004057571,0.000009878021,0.00020172032,0.00007652017,0.0000046814107,0.000053885302,0.000852911,0.0007629122,0.00010347719,0.94772106,0.050202627,0.00000631919],"about_ca_topic_score_codex":0.0020096572,"about_ca_topic_score_gemma":0.0011568211,"teacher_disagreement_score":0.010180877,"about_ca_system_score_codex":0.0046969163,"about_ca_system_score_gemma":0.0032737665,"threshold_uncertainty_score":0.034078717},"labels":[],"label_agreement":null},{"id":"W2161918995","doi":"","title":"MAXSM: A Multi-Heuristic Approach to XML Schema Matching","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Schema matching; Computer science; Heuristics; Schema (genetic algorithms); Data integration; XML; WordNet; Information retrieval; Theoretical computer science; Data mining; World Wide Web","score_opus":0.025104132581231325,"score_gpt":0.2471019626059034,"score_spread":0.22199783002467208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161918995","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076026917,0.00025078427,0.988345,0.00018114825,0.000028234255,0.00026448522,0.00016757566,0.0012828363,0.0018772479],"genre_scores_gemma":[0.058468882,0.0001160489,0.939766,0.00012030968,0.00001728732,0.00017029671,0.00050397235,0.00016628772,0.00067092926],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955052,0.0022357132,0.00034548977,0.00055432273,0.0011505173,0.00020870789],"domain_scores_gemma":[0.9951532,0.0032201996,0.00030873608,0.0007025732,0.00049576897,0.00011964932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053393138,0.0010451822,0.0013100335,0.005261731,0.0013536994,0.0025069627,0.0035692828,0.0021122764,0.00395561],"category_scores_gemma":[0.011820978,0.0008134666,0.0019006641,0.0043989182,0.0012195581,0.00346919,0.00263848,0.0012695404,0.00070298126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042417957,0.00056429993,0.00431793,0.0007879915,0.00051358435,0.00072697026,0.0012819992,0.22905561,0.009110897,0.13420129,0.010448699,0.60856646],"study_design_scores_gemma":[0.00005889668,0.00009765109,0.00046599397,0.0000746012,0.00007532109,0.0003546894,0.00029896855,0.90400153,0.0058901873,0.07857687,0.0100636175,0.00004168028],"about_ca_topic_score_codex":0.003412414,"about_ca_topic_score_gemma":0.0056483326,"teacher_disagreement_score":0.0053393138,"about_ca_system_score_codex":0.0017434533,"about_ca_system_score_gemma":0.0023677836,"threshold_uncertainty_score":0.028237283},"labels":[],"label_agreement":null},{"id":"W2162376067","doi":"10.1109/tlt.2008.12","title":"Building Domain Ontologies from Text for Educational Purposes","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Learning Technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Ontology; Domain (mathematical analysis); Ontology learning; IDEF5; Bridge (graph theory); Domain analysis; Domain model; Domain knowledge; Formal concept analysis; Domain engineering; Artificial intelligence; Natural language processing; Information retrieval; Process ontology; Suggested Upper Merged Ontology; Software; Software development","score_opus":0.026016166726241942,"score_gpt":0.2651617681795095,"score_spread":0.23914560145326755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162376067","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00531579,0.00022347306,0.98101646,0.0003932689,0.00010460406,0.0003124944,0.0020131923,0.002815336,0.007805264],"genre_scores_gemma":[0.054815806,0.00056624034,0.9326965,0.00014323188,0.00004985874,0.00046863753,0.0078759175,0.00064746436,0.0027364092],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793446,0.00057502557,0.00023722883,0.0003716408,0.00079462276,0.00008700287],"domain_scores_gemma":[0.99535984,0.0025307576,0.00037261026,0.0006712481,0.00096377515,0.00010180799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019067382,0.0011136455,0.0006436727,0.00815351,0.0013006546,0.0031925438,0.0014344814,0.0010687939,0.0055962955],"category_scores_gemma":[0.011105909,0.00062699115,0.0015700362,0.0044329003,0.0011413209,0.0059533515,0.0037215159,0.0017725149,0.003229269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011333669,0.00024921462,0.002151605,0.0018894564,0.00016060837,0.0012710433,0.004280475,0.032660477,0.01633689,0.2721724,0.021008385,0.6477061],"study_design_scores_gemma":[0.000049220245,0.000056879202,0.0017195012,0.0009953137,0.00016655475,0.0007614484,0.0025221517,0.14612561,0.030414674,0.35938674,0.45766672,0.00013514589],"about_ca_topic_score_codex":0.003775903,"about_ca_topic_score_gemma":0.0040523494,"teacher_disagreement_score":0.00815351,"about_ca_system_score_codex":0.0010374276,"about_ca_system_score_gemma":0.0025182278,"threshold_uncertainty_score":0.01872152},"labels":[],"label_agreement":null},{"id":"W2162499548","doi":"10.1109/ccece.2013.6567668","title":"Multidisciplinary approaches to computing","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Multidisciplinary approach; Computer science; The arts; Theme (computing); Media arts; Data science; World Wide Web; Sociology; Social science","score_opus":0.13416106532554034,"score_gpt":0.25755251862427325,"score_spread":0.12339145329873291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162499548","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005912759,0.055031728,0.28497955,0.048788063,0.0034465278,0.0001879112,0.00015640387,0.00020544213,0.6012916],"genre_scores_gemma":[0.58449924,0.06363879,0.23782429,0.014577726,0.0056662643,0.0012044371,0.00036674037,0.00031694118,0.09190556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941022,0.0032751758,0.0002928015,0.0006795427,0.0012666825,0.00038358354],"domain_scores_gemma":[0.997136,0.0014471504,0.00015033674,0.00057210884,0.00038984828,0.00030444626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041147606,0.0010357097,0.0008438424,0.003984699,0.004230657,0.009430519,0.001752204,0.0024898956,0.0077125174],"category_scores_gemma":[0.0043101916,0.00039355928,0.0010641696,0.0032042284,0.016640319,0.007756718,0.008175817,0.004798377,0.0014368581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013834602,0.000004541624,0.000037497786,0.000040666095,0.0000035218266,0.000014887692,0.0006436616,0.00016631681,0.000024199931,0.99443394,0.0014991779,0.0031301843],"study_design_scores_gemma":[0.0000024015683,0.0000043122127,0.000060038983,0.00009779746,0.000003527112,0.00005054613,0.0006583393,0.00049394614,0.00003929897,0.8875389,0.11104529,0.000005519097],"about_ca_topic_score_codex":0.002113882,"about_ca_topic_score_gemma":0.0025146368,"teacher_disagreement_score":0.009430519,"about_ca_system_score_codex":0.0058233873,"about_ca_system_score_gemma":0.0033090916,"threshold_uncertainty_score":0.042251825},"labels":[],"label_agreement":null},{"id":"W2162634448","doi":"10.1109/cbms.2007.67","title":"Managing Conceptual Revisions in a Temporal Fungal Taxonomy","year":2007,"lang":"en","type":"article","venue":"Proceedings - IEEE Symposium on Computer-Based Medical Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Computer science; Notation; Knowledge representation and reasoning; Process ontology; Representation (politics); Description logic; Upper ontology; Ontology-based data integration; Artificial intelligence; Natural language processing; Domain (mathematical analysis); Process (computing); Domain knowledge; Programming language; Linguistics","score_opus":0.03280554400995884,"score_gpt":0.263008536248047,"score_spread":0.23020299223808816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162634448","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13259234,0.0012059483,0.8328062,0.0034227744,0.0004344151,0.0012296356,0.0012914219,0.0033153142,0.02370189],"genre_scores_gemma":[0.28536645,0.0007286701,0.70071226,0.0003156079,0.00008584911,0.0004051027,0.0018579919,0.00037124346,0.0101567255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9877694,0.0036554472,0.0018384669,0.001890482,0.0041206437,0.0007255654],"domain_scores_gemma":[0.96014154,0.011400694,0.004539814,0.01063033,0.011309735,0.0019779163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0127575835,0.0006667957,0.0010387567,0.005457406,0.0057732053,0.009379188,0.0042344374,0.0033570572,0.0043079862],"category_scores_gemma":[0.05117525,0.0009927975,0.0019763787,0.005902932,0.003225759,0.022302363,0.0077176355,0.003097218,0.0012083258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033055432,0.00030700854,0.014008039,0.0006197956,0.00014638061,0.0024043373,0.02597165,0.024466604,0.0073121027,0.5513765,0.01071228,0.36234474],"study_design_scores_gemma":[0.000095231975,0.0002067864,0.00350569,0.00064415095,0.0002523515,0.0017104655,0.014671064,0.1912932,0.008999768,0.50350034,0.274849,0.00027197765],"about_ca_topic_score_codex":0.021173993,"about_ca_topic_score_gemma":0.024860524,"teacher_disagreement_score":0.021173993,"about_ca_system_score_codex":0.005116578,"about_ca_system_score_gemma":0.00936062,"threshold_uncertainty_score":0.06746936},"labels":[],"label_agreement":null},{"id":"W2163263913","doi":"10.1109/cbms.2013.6627792","title":"A scalable ontology reasoner via incremental materialization","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Francis Xavier University","funders":"","keywords":"Computer science; Semantic reasoner; Ontology; Description logic; Semantic Web; Knowledge base; Knowledge representation and reasoning; Workflow; Scalability; Web Ontology Language; Ontology-based data integration; Process ontology; Information retrieval; Knowledge-based systems; Ontology language; Database; Artificial intelligence","score_opus":0.011639724088055775,"score_gpt":0.2216918470509959,"score_spread":0.21005212296294012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163263913","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025917857,0.000103535225,0.9810245,0.00020987439,0.00005437483,0.00013985662,0.00034304653,0.013961091,0.0015719511],"genre_scores_gemma":[0.04211007,0.00017251377,0.9523538,0.0001921649,0.000054155833,0.0001821384,0.002214739,0.0007403782,0.0019801324],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761933,0.0003048319,0.0002459852,0.00056704914,0.0010390949,0.00022383242],"domain_scores_gemma":[0.99740726,0.0012551786,0.00015201348,0.00070457964,0.000406905,0.00007415861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019659738,0.0013669287,0.0014403412,0.0027427399,0.0012329532,0.0029207505,0.003150274,0.0013410948,0.0068280343],"category_scores_gemma":[0.0065840087,0.00121048,0.0034232067,0.0022376282,0.0013573084,0.0052168583,0.0040608877,0.0023255753,0.0025507996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004146591,0.00040694608,0.0012564216,0.00064801145,0.00022464161,0.00095246383,0.0005063748,0.11751854,0.025119724,0.094838664,0.040099118,0.71801436],"study_design_scores_gemma":[0.00015039895,0.000053494467,0.00020708988,0.00005265104,0.00011139787,0.00023589544,0.00011565554,0.8591824,0.020395866,0.087755546,0.03167679,0.00006279818],"about_ca_topic_score_codex":0.0051552854,"about_ca_topic_score_gemma":0.009273308,"teacher_disagreement_score":0.0068280343,"about_ca_system_score_codex":0.0012857841,"about_ca_system_score_gemma":0.0028334633,"threshold_uncertainty_score":0.02284205},"labels":[],"label_agreement":null},{"id":"W2163674277","doi":"10.1504/ijamc.2008.020179","title":"Meaningful access: policy, management and orchestration","year":2008,"lang":"en","type":"article","venue":"International Journal of Advanced Media and Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Computer science; Orchestration; Search engine indexing; Matching (statistics); Metaphor; Knowledge management; Tracing; Slicing; Control (management); Data science; World Wide Web; Artificial intelligence; Programming language","score_opus":0.033267745441345815,"score_gpt":0.31520360392352553,"score_spread":0.2819358584821797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163674277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018481597,0.0021822562,0.8543692,0.024916433,0.00043366267,0.0007128068,0.00042488164,0.002647536,0.09583156],"genre_scores_gemma":[0.65543526,0.0036000235,0.29020196,0.0025892723,0.00103411,0.0016622584,0.0010059997,0.0013069942,0.04316411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9866453,0.0053421934,0.0013651802,0.001956351,0.0034869113,0.0012041734],"domain_scores_gemma":[0.9860811,0.0052055763,0.0013136447,0.0036460059,0.0019859702,0.0017677064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017426997,0.0005404686,0.00083973556,0.002874874,0.0034482596,0.018528584,0.0028909305,0.0042955196,0.0059060976],"category_scores_gemma":[0.026397571,0.0008362923,0.00066928315,0.003270566,0.0085994955,0.02334267,0.008737492,0.0034560647,0.0028192208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030280435,0.000071001596,0.0011328026,0.00009121141,0.00002082607,0.00014943934,0.0020605498,0.003381669,0.0009511538,0.94333774,0.006577028,0.042196386],"study_design_scores_gemma":[0.000018259543,0.000025660851,0.0005120867,0.000161692,0.00002049263,0.00016785064,0.0013467115,0.017073292,0.0012875663,0.8408817,0.13845336,0.00005139495],"about_ca_topic_score_codex":0.0056331414,"about_ca_topic_score_gemma":0.0026867662,"teacher_disagreement_score":0.018528584,"about_ca_system_score_codex":0.0049592275,"about_ca_system_score_gemma":0.009020625,"threshold_uncertainty_score":0.09216386},"labels":[],"label_agreement":null},{"id":"W2163783429","doi":"10.1109/ccece.1999.804938","title":"From information to knowledge: introducing WebStract's knowledge engineering approach","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Raw data; Domain knowledge; Knowledge extraction; Information retrieval; Viewpoints; Domain (mathematical analysis); Process (computing); Knowledge engineering; Data science; Data mining; Artificial intelligence","score_opus":0.011852283417754248,"score_gpt":0.2300291811746176,"score_spread":0.21817689775686336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163783429","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019538477,0.005497409,0.9361216,0.0094254175,0.0004824499,0.00018358648,0.0002916478,0.0012090829,0.04483497],"genre_scores_gemma":[0.047627363,0.010328059,0.9136352,0.003287559,0.00082167453,0.00069054787,0.0008584718,0.00066767563,0.022083517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9939896,0.0022608428,0.00080999994,0.00068210944,0.0019455698,0.00031195892],"domain_scores_gemma":[0.9907012,0.0059760762,0.0005584592,0.0011248555,0.0011539861,0.00048533842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005486732,0.0014890459,0.0015333265,0.016665353,0.0029877182,0.019803062,0.004020326,0.003972538,0.007296762],"category_scores_gemma":[0.011669371,0.001541783,0.0029825708,0.012420509,0.012397877,0.031098247,0.008868492,0.006170228,0.0035640732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000117101035,0.00003294827,0.00020667039,0.00023722595,0.000038235718,0.0007601316,0.001398878,0.002083412,0.00034702462,0.9378414,0.008411515,0.048630875],"study_design_scores_gemma":[0.000011574197,0.000015118868,0.00018958833,0.00038620507,0.00002815408,0.001076811,0.000856447,0.01006706,0.00078729127,0.7124686,0.27406842,0.000044708788],"about_ca_topic_score_codex":0.0067320447,"about_ca_topic_score_gemma":0.007532106,"teacher_disagreement_score":0.019803062,"about_ca_system_score_codex":0.003973279,"about_ca_system_score_gemma":0.0043901852,"threshold_uncertainty_score":0.029016912},"labels":[],"label_agreement":null},{"id":"W2163807577","doi":"10.1017/s0140525x0525001x","title":"Instantiated rules and abstract analogy: Not a continuum of similarity","year":2005,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Analogy; Categorization; Similarity (geometry); Computer science; Artificial intelligence; Mathematics; Epistemology; Philosophy","score_opus":0.07220790719563727,"score_gpt":0.3291584279146086,"score_spread":0.2569505207189713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163807577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12581944,0.003560955,0.62964094,0.028687697,0.0008873598,0.00020728796,0.00034147725,0.0006432818,0.21021153],"genre_scores_gemma":[0.8640766,0.0009909032,0.12586947,0.0024398537,0.00022820661,0.000306671,0.0002609994,0.00015134182,0.00567596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99068624,0.0026069495,0.0011184616,0.0017213621,0.003278187,0.00058871316],"domain_scores_gemma":[0.9880235,0.003273766,0.0016362172,0.0042610336,0.0018769363,0.0009285463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063952953,0.0003707745,0.0010904669,0.0032308055,0.0021777642,0.01091659,0.002337977,0.003755994,0.0037718695],"category_scores_gemma":[0.017019946,0.00047666556,0.0012527478,0.0018290664,0.030780647,0.031808037,0.0069408105,0.0059832386,0.0008429953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003447145,0.000015888649,0.0006030636,0.00005089034,0.00002227292,0.000031366268,0.0010083643,0.000390006,0.0005071087,0.9877581,0.0005388259,0.009039565],"study_design_scores_gemma":[0.000010240388,0.00001753098,0.00054076867,0.00002381266,0.00000835809,0.00007043524,0.0003630123,0.00084831915,0.00031819326,0.99406403,0.0037203315,0.000015023556],"about_ca_topic_score_codex":0.0012054776,"about_ca_topic_score_gemma":0.0009717284,"teacher_disagreement_score":0.01091659,"about_ca_system_score_codex":0.0019065966,"about_ca_system_score_gemma":0.0013071339,"threshold_uncertainty_score":0.03382194},"labels":[],"label_agreement":null},{"id":"W2165235068","doi":"10.1109/hcc.2002.1046357","title":"Defining behaviours for solids in a visual design environment","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Semantics (computer science); Point (geometry); Visual programming language; Programming language; CAD; Design language; Human–computer interaction; Engineering drawing; Engineering; Mathematics","score_opus":0.03269428097010347,"score_gpt":0.2775248039167486,"score_spread":0.24483052294664515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165235068","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021114417,0.00008439011,0.9909204,0.00011548584,0.000026795025,0.00006877664,0.000109655375,0.0015817164,0.004981363],"genre_scores_gemma":[0.059410598,0.000419832,0.9311207,0.00013820252,0.000024118224,0.0004190466,0.0006275681,0.0010652553,0.0067745824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984469,0.00046513698,0.00024958706,0.00022491782,0.00045786498,0.00015561859],"domain_scores_gemma":[0.9987802,0.00056287966,0.000114268725,0.00025604028,0.0002069536,0.0000796391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023073677,0.0010878469,0.00059751474,0.0016249568,0.0008957027,0.0039587356,0.0015109918,0.0018064626,0.004897935],"category_scores_gemma":[0.00304315,0.0010695191,0.0021403795,0.00088529696,0.0033115898,0.004313789,0.0029741544,0.0025238695,0.002039478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006241383,0.000044002736,0.00030611665,0.00047985796,0.000026349058,0.00033087455,0.0031274995,0.0150805125,0.012045678,0.9225276,0.0031644998,0.042804595],"study_design_scores_gemma":[0.00009639163,0.00007645849,0.00024618104,0.00033264645,0.00005766977,0.0005811009,0.0007208148,0.082311854,0.019019037,0.52392787,0.37254423,0.00008576127],"about_ca_topic_score_codex":0.0024495989,"about_ca_topic_score_gemma":0.0033409868,"teacher_disagreement_score":0.004897935,"about_ca_system_score_codex":0.0010364027,"about_ca_system_score_gemma":0.001129485,"threshold_uncertainty_score":0.016385198},"labels":[],"label_agreement":null},{"id":"W2165249316","doi":"10.1177/0145721708317875","title":"Choosing and Using Citation and Bibliographic Database Software (BDS)","year":2008,"lang":"en","type":"article","venue":"The Diabetes Educator","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Task (project management); Citation; Bibliographic database; Work (physics); Software; Data science; Information retrieval; World Wide Web","score_opus":0.04280271499183736,"score_gpt":0.25645832501535504,"score_spread":0.21365561002351768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165249316","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011098437,0.0028442035,0.7006142,0.0057382584,0.00091122196,0.003014284,0.03784009,0.19069342,0.047245957],"genre_scores_gemma":[0.02595947,0.0028984186,0.9241513,0.0006015272,0.00035439475,0.0025690447,0.019895025,0.0142774535,0.009293298],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9697593,0.007977287,0.012781687,0.0020228128,0.00709675,0.00036223498],"domain_scores_gemma":[0.833445,0.1043462,0.012778385,0.02478816,0.022243273,0.0023990257],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.035784733,0.0019964676,0.0030993521,0.050012168,0.0023564794,0.011225131,0.002934176,0.0018233133,0.029506855],"category_scores_gemma":[0.15567312,0.0024636574,0.0021481304,0.07067152,0.0013698107,0.013201778,0.007184156,0.0017870535,0.020768592],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027911723,0.00016620505,0.005822018,0.0042456985,0.0002998177,0.00028954624,0.001621638,0.0009128189,0.0037363428,0.022286978,0.10994355,0.85039634],"study_design_scores_gemma":[0.00036925694,0.00018713798,0.008888165,0.0017417264,0.00051872194,0.0012303988,0.0013860494,0.01827864,0.013556045,0.05377909,0.89952224,0.00054238446],"about_ca_topic_score_codex":0.0061241942,"about_ca_topic_score_gemma":0.0077358345,"teacher_disagreement_score":0.9887749,"about_ca_system_score_codex":0.0027382986,"about_ca_system_score_gemma":0.007512209,"threshold_uncertainty_score":0.18925005},"labels":[],"label_agreement":null},{"id":"W2165309702","doi":"10.3390/s8020830","title":"An Integrated GIS-Expert System Framework for Live Hazard Monitoring and Detection","year":2008,"lang":"en","type":"article","venue":"Sensors","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Hazard; Context (archaeology); Geographic information system; Data mining; Reliability (semiconductor); Domain (mathematical analysis); Raw data; Software; Representation (politics); Hazard analysis; Data science; Reliability engineering; Engineering","score_opus":0.031083822619370066,"score_gpt":0.2761710704695864,"score_spread":0.24508724785021632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165309702","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011299843,0.00012833341,0.97965115,0.00027907925,0.000039418366,0.00023547807,0.00061204744,0.013702215,0.004222288],"genre_scores_gemma":[0.024757497,0.00021458842,0.9675387,0.00025022574,0.000034521752,0.000395522,0.0024743653,0.00051764364,0.0038169902],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980165,0.00057706435,0.0002226991,0.0003219142,0.00077195815,0.00008978391],"domain_scores_gemma":[0.9979202,0.0008959645,0.00012833136,0.00033410182,0.0005428581,0.00017858487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004654613,0.0011463866,0.0009474651,0.0020423809,0.0008963413,0.0036598204,0.0045610256,0.0016969588,0.012775908],"category_scores_gemma":[0.0053242524,0.00072943623,0.0010703064,0.0013542726,0.0010254927,0.0036651185,0.0023565276,0.0017129488,0.00495955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042551424,0.00095864956,0.0025524294,0.0018396586,0.00039576142,0.0020429504,0.0022750834,0.15125184,0.020021586,0.2552174,0.09325292,0.46976623],"study_design_scores_gemma":[0.00013732511,0.000104811435,0.0007532295,0.00025277256,0.000101601836,0.0007924687,0.0003913439,0.6028363,0.009866911,0.16718106,0.2174755,0.00010672435],"about_ca_topic_score_codex":0.0062934435,"about_ca_topic_score_gemma":0.011282419,"teacher_disagreement_score":0.012775908,"about_ca_system_score_codex":0.0015478277,"about_ca_system_score_gemma":0.0028473618,"threshold_uncertainty_score":0.04273963},"labels":[],"label_agreement":null},{"id":"W2165376657","doi":"10.1145/1062745.1062796","title":"Adaptive filtering of advertisements on web pages","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; World Wide Web; Web page; Information retrieval","score_opus":0.03295048366268744,"score_gpt":0.2502609543258565,"score_spread":0.21731047066316905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165376657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17936756,0.0006968516,0.80742025,0.00041009413,0.0001881111,0.00013582097,0.00026790853,0.008952861,0.0025605636],"genre_scores_gemma":[0.7470563,0.00032677405,0.24338585,0.00033668237,0.00026111773,0.000100942976,0.0007225193,0.00046165753,0.0073480955],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992613,0.0001555656,0.00003344151,0.00018751483,0.00028114434,0.00008104714],"domain_scores_gemma":[0.9954892,0.002432718,0.0002722903,0.0005484842,0.0010890646,0.0001683579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016132777,0.0008252619,0.000992676,0.001135298,0.0004012268,0.00095358904,0.0011876554,0.0011926361,0.0015492811],"category_scores_gemma":[0.007516843,0.000429268,0.0005555874,0.0006889484,0.00038823133,0.0015765505,0.00073889596,0.0013780935,0.0013720029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090451696,0.00081443536,0.015613484,0.0002206253,0.00018638282,0.00027923236,0.000317509,0.066870056,0.059122797,0.0023232722,0.01042696,0.84292066],"study_design_scores_gemma":[0.000027685524,0.00011321335,0.0036753784,0.000014187173,0.000050400075,0.0001369751,0.000042494255,0.96282995,0.026859824,0.0039477353,0.0022764625,0.000025696072],"about_ca_topic_score_codex":0.0043616886,"about_ca_topic_score_gemma":0.007648827,"teacher_disagreement_score":0.0043616886,"about_ca_system_score_codex":0.0003981852,"about_ca_system_score_gemma":0.00062783394,"threshold_uncertainty_score":0.008672595},"labels":[],"label_agreement":null},{"id":"W2165790651","doi":"10.1109/enabl.1995.484550","title":"An organisation ontology for enterprise modelling: preliminary concepts for linking structure and behaviour","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Knowledge management; Linkage (software); Unification; Empowerment; Computer science; Enterprise modelling; Focus (optics); Process management; Business; Enterprise integration; Enterprise software; Political science; Epistemology","score_opus":0.038628847381890805,"score_gpt":0.2870868692072613,"score_spread":0.24845802182537047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165790651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022335679,0.0007740515,0.97316843,0.0037274626,0.00033039396,0.0004428895,0.0003340581,0.00021174512,0.018777417],"genre_scores_gemma":[0.054455064,0.0019783399,0.93396133,0.0009374936,0.00018557037,0.00113868,0.0009408599,0.00024927635,0.006153272],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951658,0.002109856,0.0007274641,0.00046079975,0.0011733978,0.00036262925],"domain_scores_gemma":[0.99467504,0.0023404025,0.0003700347,0.0009992528,0.0010790357,0.0005361835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010806127,0.0008948718,0.001014659,0.0041089947,0.0039616716,0.009913525,0.0023911416,0.0036769276,0.0046931864],"category_scores_gemma":[0.013035783,0.0011482008,0.0031219071,0.00480774,0.00673592,0.02173473,0.006439869,0.008570907,0.0013566893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007986254,0.000028021357,0.00018840273,0.00008289954,0.000010629148,0.0000962478,0.0019229039,0.0009887067,0.00032155073,0.983324,0.0016317723,0.011396845],"study_design_scores_gemma":[0.000015550337,0.000026786882,0.0003405521,0.00038489327,0.000027305567,0.00031928817,0.0010950502,0.015631596,0.0004942328,0.7627469,0.21886416,0.00005372559],"about_ca_topic_score_codex":0.011548599,"about_ca_topic_score_gemma":0.011508084,"teacher_disagreement_score":0.011548599,"about_ca_system_score_codex":0.004705783,"about_ca_system_score_gemma":0.008414279,"threshold_uncertainty_score":0.057148933},"labels":[],"label_agreement":null},{"id":"W2166708723","doi":"","title":"An Ontology and a Software Framework for Competency Modeling and Management","year":2007,"lang":"en","type":"article","venue":"R-libre (Université Téluq)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Computer science; Knowledge management; Software engineering; Process ontology; Engineering management; Domain knowledge; Engineering","score_opus":0.01592842549805795,"score_gpt":0.24237889398060314,"score_spread":0.2264504684825452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166708723","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010276166,0.00056549057,0.98626095,0.0018148635,0.00014434035,0.0002532856,0.00037812864,0.0010077643,0.008547545],"genre_scores_gemma":[0.021345263,0.0009207338,0.9717036,0.00035737685,0.00010475024,0.00063629093,0.0010305642,0.00017765473,0.0037238826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947413,0.001817154,0.0010344485,0.00065113587,0.0014622676,0.00029370704],"domain_scores_gemma":[0.99683505,0.0013294654,0.00031783807,0.0006413493,0.0005800731,0.00029622545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077909934,0.0012949025,0.0011334912,0.0051987357,0.0032924835,0.007873853,0.0035715525,0.003379205,0.004025291],"category_scores_gemma":[0.0071713524,0.0013812588,0.0049954467,0.004855712,0.0058769495,0.012317499,0.0046632877,0.00561509,0.0015003013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001555617,0.000051889372,0.0002980957,0.00019857,0.000053640466,0.00019496938,0.0013334035,0.0074313222,0.0008264693,0.94641757,0.006181466,0.03699709],"study_design_scores_gemma":[0.000034005236,0.000036597776,0.0003486642,0.000464804,0.00007032421,0.0004215603,0.0006684888,0.04757003,0.0009885599,0.6898528,0.259457,0.00008721294],"about_ca_topic_score_codex":0.03155768,"about_ca_topic_score_gemma":0.025623245,"teacher_disagreement_score":0.03155768,"about_ca_system_score_codex":0.004423369,"about_ca_system_score_gemma":0.009167422,"threshold_uncertainty_score":0.062748015},"labels":[],"label_agreement":null},{"id":"W2166752908","doi":"10.1017/s0269888902000358","title":"UML for ontology development","year":2002,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Unified Modeling Language; Computer science; Scope (computer science); Applications of UML; Ontology; Software engineering; UML tool; Model-driven architecture; Software; Programming language; Epistemology","score_opus":0.04874355400138837,"score_gpt":0.26247223982223866,"score_spread":0.2137286858208503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166752908","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007237683,0.017172443,0.84948164,0.010638806,0.0027107259,0.0006487935,0.0028725134,0.0083067035,0.10744455],"genre_scores_gemma":[0.017403264,0.018890347,0.90708375,0.0035734777,0.0015997271,0.0014339287,0.0075952113,0.0021018262,0.04031845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.993123,0.0029519456,0.0009993768,0.0007488164,0.0019027558,0.0002741938],"domain_scores_gemma":[0.99439126,0.0024906434,0.0005831258,0.0012913834,0.00096320786,0.00028039273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006083346,0.002046169,0.0014733388,0.005285171,0.0016399926,0.0063186833,0.0033126525,0.0036826092,0.032878574],"category_scores_gemma":[0.013878612,0.0012794129,0.0025828972,0.006155313,0.002078018,0.010131166,0.0048895013,0.005405315,0.023709683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027844246,0.000049621212,0.00026580584,0.00082334055,0.00006413084,0.00043074184,0.0008455754,0.0017888879,0.0011129895,0.71706325,0.09321138,0.18431652],"study_design_scores_gemma":[0.000013459611,0.0000103802695,0.00009214015,0.00040345,0.000018820328,0.00031841735,0.000099423,0.0025788783,0.0005010589,0.22654536,0.76939315,0.000025417274],"about_ca_topic_score_codex":0.0038002336,"about_ca_topic_score_gemma":0.0032917059,"teacher_disagreement_score":0.032878574,"about_ca_system_score_codex":0.0025159293,"about_ca_system_score_gemma":0.004507875,"threshold_uncertainty_score":0.10998982},"labels":[],"label_agreement":null},{"id":"W2167015927","doi":"10.1109/cscwd.2010.5471972","title":"A Frame-based Ontological view Specification Language","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Ontology; Frame (networking); Ontology language; XML; Description logic; Upper ontology; Knowledge representation and reasoning; Web Ontology Language; Ontology-based data integration; Representation (politics); Programming language; Information retrieval; Natural language processing; Artificial intelligence; Semantic Web; World Wide Web; Epistemology","score_opus":0.016735270931584167,"score_gpt":0.2670633615153077,"score_spread":0.2503280905837235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167015927","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010751479,0.00018254954,0.9913054,0.00059929607,0.000110553185,0.00019551118,0.0005132725,0.0013748736,0.004643463],"genre_scores_gemma":[0.042813063,0.00075414067,0.94585943,0.0006250815,0.00016800287,0.00081148196,0.0028739315,0.0004634916,0.005631429],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959818,0.001297098,0.0007553379,0.0004944631,0.0011586067,0.00031268736],"domain_scores_gemma":[0.99651897,0.0012805307,0.00041955887,0.0006253159,0.00096665486,0.00018893405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070392825,0.0011284439,0.0011045297,0.0022115158,0.0020233055,0.0053757033,0.0031574774,0.002325833,0.0047712084],"category_scores_gemma":[0.0062579284,0.001138974,0.0022026866,0.0024243803,0.0026503545,0.008110307,0.0030707405,0.004421045,0.0022679865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003958976,0.000044074684,0.00017797163,0.00019943074,0.000025237843,0.00030649087,0.0013514889,0.00506185,0.0044010426,0.9360737,0.011103571,0.041215353],"study_design_scores_gemma":[0.00011615111,0.00014310448,0.00027706785,0.0005336609,0.00012937502,0.00089688355,0.000789974,0.10023056,0.013236741,0.402164,0.48127583,0.00020664964],"about_ca_topic_score_codex":0.009325924,"about_ca_topic_score_gemma":0.00973301,"teacher_disagreement_score":0.009325924,"about_ca_system_score_codex":0.0022638892,"about_ca_system_score_gemma":0.005092471,"threshold_uncertainty_score":0.03722769},"labels":[],"label_agreement":null},{"id":"W216709535","doi":"","title":"Dokumentbezogenes Wissensmanagement in dynamischen Arbeitsgruppen: Text Mining, Clustering und Visualisierung.","year":2004,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Information retrieval; Computer science; Artificial intelligence","score_opus":0.018598926222672174,"score_gpt":0.26825305256610243,"score_spread":0.24965412634343026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W216709535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17032911,0.010821669,0.78502643,0.0029052042,0.00029327619,0.00030441006,0.0036249002,0.008735348,0.017959606],"genre_scores_gemma":[0.49045283,0.003544291,0.49337775,0.000161218,0.0000617075,0.00022374452,0.0033875282,0.0007588485,0.008032043],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999046,0.00030562174,0.000119141,0.00018443594,0.00026862184,0.00007611721],"domain_scores_gemma":[0.9978357,0.0010362044,0.00030543492,0.00033258426,0.00038282838,0.00010723124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017215031,0.00048030796,0.00040266273,0.004112637,0.0008212818,0.00354196,0.00079862494,0.00086828915,0.0030133002],"category_scores_gemma":[0.005278101,0.00036449207,0.00047752395,0.0057613114,0.00091529754,0.003230471,0.0014169788,0.0008639732,0.0015412566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054914417,0.0001564657,0.011940154,0.0015952098,0.00016875628,0.0008623787,0.008246993,0.013412744,0.03800335,0.061857466,0.016679246,0.84652805],"study_design_scores_gemma":[0.00011098171,0.00016288467,0.04350807,0.0016907373,0.00049917056,0.0027256089,0.015963271,0.20681731,0.117007054,0.27386415,0.3373807,0.00027013858],"about_ca_topic_score_codex":0.005121423,"about_ca_topic_score_gemma":0.005334816,"teacher_disagreement_score":0.005121423,"about_ca_system_score_codex":0.00075559854,"about_ca_system_score_gemma":0.0013015982,"threshold_uncertainty_score":0.010183215},"labels":[],"label_agreement":null},{"id":"W2168455767","doi":"10.1080/10824000509480600","title":"Integrating Heterogeneous Traveler Information Using Web Services","year":2005,"lang":"en","type":"article","venue":"Annals of GIS","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; SOAP; XML; Information integration; World Wide Web; Metadata; Information system; Database; Web service; Efficient XML Interchange; Engineering","score_opus":0.05235839235014968,"score_gpt":0.30651754777520285,"score_spread":0.2541591554250532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168455767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08609209,0.00063820224,0.8684722,0.001006091,0.00010550506,0.0005259129,0.0007094359,0.023184603,0.019266011],"genre_scores_gemma":[0.60728616,0.00083705864,0.37741044,0.0003487924,0.00009140096,0.00024313969,0.003204407,0.00094283046,0.009635717],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984126,0.00043480398,0.00018500899,0.00019219099,0.0006521547,0.00012331923],"domain_scores_gemma":[0.99849916,0.00050781015,0.00011272364,0.00034207085,0.00037978528,0.00015837504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020318204,0.00057171006,0.00080887176,0.002759498,0.0008241244,0.00392918,0.0009940577,0.00088736217,0.0025437968],"category_scores_gemma":[0.0030181748,0.00041118727,0.00065946183,0.0033962766,0.00047078176,0.0030627311,0.0020958928,0.0006623199,0.0011962621],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078881695,0.00076463877,0.013999359,0.00063147314,0.0005169479,0.0030977498,0.003741014,0.058221277,0.06081426,0.059250288,0.021188395,0.77698576],"study_design_scores_gemma":[0.00020827234,0.00017957245,0.0053100153,0.0002553872,0.00051594275,0.0011299154,0.0016372915,0.65054464,0.05427433,0.07498137,0.21073519,0.00022807521],"about_ca_topic_score_codex":0.012073056,"about_ca_topic_score_gemma":0.00675182,"teacher_disagreement_score":0.012073056,"about_ca_system_score_codex":0.0008714031,"about_ca_system_score_gemma":0.0013325029,"threshold_uncertainty_score":0.024005592},"labels":[],"label_agreement":null},{"id":"W2168552894","doi":"10.7202/1018846ar","title":"Les bibliothèques numériques sont-elles solubles dans le Web sémantique ?","year":2013,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Humanities; Computer science; Philosophy","score_opus":0.03811243543582736,"score_gpt":0.3194589928346742,"score_spread":0.28134655739884684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168552894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02024985,0.012221594,0.767876,0.023378147,0.001743764,0.00015469534,0.0026724741,0.0021033078,0.16960016],"genre_scores_gemma":[0.3094597,0.020678824,0.5864884,0.0031153539,0.0021887782,0.00059447874,0.0046315254,0.0019160411,0.07092687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.991265,0.0024352786,0.0013283279,0.0014396467,0.0031760808,0.0003556489],"domain_scores_gemma":[0.9873403,0.0058962703,0.0011670986,0.0025562036,0.0027760982,0.0002640536],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005740038,0.000721657,0.0015783055,0.008091889,0.0041137,0.02022278,0.0016674473,0.002421303,0.012646603],"category_scores_gemma":[0.025600307,0.0011573656,0.0012842177,0.012935526,0.007066679,0.03787327,0.004415644,0.004859174,0.004926144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021284517,0.000013388664,0.00040632908,0.00024479168,0.000028527393,0.00010024821,0.001108777,0.0004814854,0.0006386476,0.95972776,0.0034118441,0.03381691],"study_design_scores_gemma":[0.000017523984,0.000008957394,0.0006614022,0.00056262926,0.000043808977,0.00030138585,0.0018620671,0.0043565147,0.0022277432,0.75144553,0.23845641,0.00005605242],"about_ca_topic_score_codex":0.01003028,"about_ca_topic_score_gemma":0.010265864,"teacher_disagreement_score":0.9797772,"about_ca_system_score_codex":0.005548959,"about_ca_system_score_gemma":0.005685732,"threshold_uncertainty_score":0.04230714},"labels":[],"label_agreement":null},{"id":"W2169037632","doi":"10.1109/itng.2009.161","title":"Citation Analysis: An Approach for Facilitating the Understanding and the Analysis of Regulatory Compliance Documents","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Citation; Task (project management); Citation analysis; Data science; Compliance (psychology); Information retrieval; Knowledge management; World Wide Web; Engineering","score_opus":0.11218706056201719,"score_gpt":0.3217846258093197,"score_spread":0.20959756524730253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169037632","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014433576,0.0021820532,0.9576182,0.001986282,0.00017886872,0.00043490744,0.0020292269,0.0121486755,0.008988121],"genre_scores_gemma":[0.051324923,0.0018103897,0.94004554,0.00013596764,0.00015441366,0.0003148741,0.0017755777,0.0007114404,0.0037268547],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99546534,0.001321797,0.0005371448,0.00053030375,0.001981981,0.00016353824],"domain_scores_gemma":[0.9702641,0.019746087,0.0029840935,0.0024684775,0.0040104864,0.0005268051],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0054554106,0.0014944723,0.0011301312,0.041093174,0.0033500046,0.0064618974,0.0022789238,0.0024170175,0.005733084],"category_scores_gemma":[0.028246697,0.0007555931,0.0015470992,0.028456703,0.0015473732,0.010179383,0.003357081,0.002216296,0.001969806],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013053499,0.00021122914,0.0059967833,0.0021291855,0.00031817757,0.0009827401,0.008095121,0.0044909636,0.016576206,0.10386385,0.025329303,0.8318758],"study_design_scores_gemma":[0.00012432845,0.00017668799,0.014136647,0.0014983715,0.0006659841,0.0044098715,0.0072967564,0.13769737,0.041287843,0.3330854,0.45896676,0.0006539953],"about_ca_topic_score_codex":0.0057309694,"about_ca_topic_score_gemma":0.007894819,"teacher_disagreement_score":0.9589068,"about_ca_system_score_codex":0.0015942849,"about_ca_system_score_gemma":0.0036679877,"threshold_uncertainty_score":0.02885127},"labels":[],"label_agreement":null},{"id":"W2169276903","doi":"10.1109/icccyb.2010.5491337","title":"A new algorithm for mapping XML Schema to XML Schema","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"XML Schema Editor; Document Structure Description; XML validation; Computer science; RELAX NG; Streaming XML; Efficient XML Interchange; Information retrieval; XML Encryption; XML Schema (W3C); Programming language; Document type definition; XML database; Database; XML; World Wide Web","score_opus":0.02282105073458763,"score_gpt":0.27009017892803344,"score_spread":0.24726912819344582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169276903","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003975408,0.00016290336,0.99385506,0.00017548814,0.00013042415,0.00027860803,0.00031447675,0.0027849155,0.0019005996],"genre_scores_gemma":[0.0038397873,0.00026476773,0.9918108,0.00014256693,0.00003368093,0.00025326916,0.0011787296,0.00044168922,0.002034586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99444133,0.0013342553,0.0008010271,0.001174447,0.0020474703,0.00020147393],"domain_scores_gemma":[0.9958502,0.0015768467,0.00022177071,0.0011131543,0.0011167619,0.00012127338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056711826,0.001523713,0.0012736729,0.0049417424,0.0019577686,0.0070384755,0.003920588,0.0025903275,0.015288936],"category_scores_gemma":[0.014468786,0.0015394094,0.002940835,0.006546239,0.0017045465,0.0107729295,0.004758053,0.004210843,0.009387472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001819676,0.00016585317,0.0007989237,0.0007284968,0.00020342627,0.00032820596,0.0007594908,0.015398094,0.0049226275,0.2146467,0.046755847,0.7151103],"study_design_scores_gemma":[0.00020167371,0.00015577063,0.00043559485,0.00053987035,0.00021298866,0.0014108947,0.00058324315,0.23757137,0.016826844,0.26175112,0.48016882,0.000141814],"about_ca_topic_score_codex":0.0037733964,"about_ca_topic_score_gemma":0.0039912676,"teacher_disagreement_score":0.015288936,"about_ca_system_score_codex":0.0017607857,"about_ca_system_score_gemma":0.0032822636,"threshold_uncertainty_score":0.051146626},"labels":[],"label_agreement":null},{"id":"W2169606199","doi":"","title":"Optimization techniques for retrieving resources described in OWL/RDF documents: first results","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"RDF; Computer science; Description logic; Semantic Web; SPARQL; RDF Schema; Web Ontology Language; Semantic Web Rule Language; Semantic reasoner; Knowledge representation and reasoning; Cwm; Representation (politics); Information retrieval; Implementation; Inference; Linked data; Semantic Web Stack; Programming language; Semantic analytics; Artificial intelligence","score_opus":0.018793825710745105,"score_gpt":0.25728702736262665,"score_spread":0.23849320165188154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169606199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022843584,0.003933646,0.9644579,0.0008075933,0.00006355507,0.0002560844,0.0002610446,0.0021411667,0.005235446],"genre_scores_gemma":[0.13101953,0.00356209,0.8595128,0.00035480587,0.00017185867,0.00023553017,0.00097358535,0.0008382456,0.003331445],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99524814,0.0013034983,0.00041218297,0.0006091611,0.0020151387,0.0004119688],"domain_scores_gemma":[0.992656,0.0050685564,0.00057269307,0.00094774005,0.00064616906,0.000108739885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004163232,0.001304424,0.0019132394,0.0019247568,0.0010032143,0.002290828,0.0015900733,0.001292373,0.003434815],"category_scores_gemma":[0.013024572,0.00077909284,0.002471277,0.004208132,0.0016435315,0.0060644937,0.001620049,0.002701188,0.0011758198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005889248,0.000624845,0.0014883261,0.0009819464,0.00025791588,0.00011052793,0.0002612861,0.20119084,0.008409768,0.074040435,0.011190605,0.7008546],"study_design_scores_gemma":[0.00015191913,0.00011399777,0.0010717515,0.00005651771,0.00017364326,0.00013491431,0.00021724359,0.9026943,0.014857364,0.071497515,0.008976027,0.000054833934],"about_ca_topic_score_codex":0.012558885,"about_ca_topic_score_gemma":0.00843492,"teacher_disagreement_score":0.012558885,"about_ca_system_score_codex":0.0024495055,"about_ca_system_score_gemma":0.0021633995,"threshold_uncertainty_score":0.024971545},"labels":[],"label_agreement":null},{"id":"W2169831974","doi":"10.1109/icde.2004.1320090","title":"ToMAS: a system for adapting mappings while schemas evolve","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Programming language; Theoretical computer science; Human–computer interaction","score_opus":0.03300632625684393,"score_gpt":0.2373527056803735,"score_spread":0.20434637942352957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169831974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015303101,0.00031289298,0.73401725,0.00039143153,0.00026650884,0.00050295016,0.0015670757,0.23943499,0.008203779],"genre_scores_gemma":[0.10640887,0.0005755333,0.86264795,0.00036126224,0.00007481181,0.00056361913,0.0070212404,0.012097406,0.0102492925],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978004,0.00050908024,0.0002606088,0.0005126468,0.00079363416,0.00012360213],"domain_scores_gemma":[0.9946226,0.0012871145,0.00049557624,0.002436308,0.00079642254,0.00036193617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003408612,0.0012550565,0.00065305765,0.002210788,0.0013534739,0.0027407804,0.002943627,0.0013330976,0.008474606],"category_scores_gemma":[0.01576424,0.0010094898,0.0009216391,0.0020693473,0.0011404484,0.004156455,0.0039594993,0.001980087,0.0033504793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011183961,0.00032612865,0.012949403,0.0009509729,0.0004769948,0.0016499605,0.004923034,0.028641697,0.051378112,0.062790476,0.13786454,0.6969302],"study_design_scores_gemma":[0.00015423256,0.00017565767,0.0037738222,0.00023410002,0.00029809307,0.0017168048,0.0007653637,0.34175473,0.06672856,0.039151397,0.54489857,0.0003485822],"about_ca_topic_score_codex":0.01752744,"about_ca_topic_score_gemma":0.020258766,"teacher_disagreement_score":0.01752744,"about_ca_system_score_codex":0.0012920672,"about_ca_system_score_gemma":0.002863408,"threshold_uncertainty_score":0.034850836},"labels":[],"label_agreement":null},{"id":"W2170381494","doi":"10.1109/dexa.1996.558274","title":"Resource discovery: modelling, cataloguing and searching","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Metadata; Computer science; World Wide Web; Search engine indexing; The Internet; Cataloging; Resource (disambiguation); Information retrieval; Data science","score_opus":0.04338593610917654,"score_gpt":0.22475927391854061,"score_spread":0.18137333780936407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170381494","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02697938,0.010630088,0.8831744,0.0087681925,0.0002582452,0.0006595152,0.0013729054,0.00093928946,0.06721808],"genre_scores_gemma":[0.3564431,0.011347219,0.5974861,0.0006161328,0.0004079952,0.0009957183,0.00266911,0.0003028336,0.029731842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946859,0.0021709416,0.0006819422,0.0007830072,0.0014252089,0.00025310312],"domain_scores_gemma":[0.9931051,0.004561946,0.0004532827,0.0009260142,0.0007120808,0.00024145674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005459746,0.0011429323,0.0015014175,0.005016585,0.0021356235,0.0107193235,0.0042965882,0.0049253115,0.004985452],"category_scores_gemma":[0.014597867,0.0013023634,0.0022475158,0.010618407,0.0057046902,0.01568477,0.0032883738,0.002314047,0.0021114121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005833407,0.000097829354,0.0017320802,0.00039043656,0.000055246815,0.0003571918,0.0019270753,0.094172955,0.00048626447,0.8551224,0.0032054747,0.04239474],"study_design_scores_gemma":[0.000040058952,0.00003342247,0.000417564,0.00012770326,0.000072272516,0.00035348823,0.0006014571,0.2442372,0.0006375658,0.70361876,0.049810946,0.000049533806],"about_ca_topic_score_codex":0.032244798,"about_ca_topic_score_gemma":0.020269813,"teacher_disagreement_score":0.032244798,"about_ca_system_score_codex":0.0038647347,"about_ca_system_score_gemma":0.004421734,"threshold_uncertainty_score":0.06411421},"labels":[],"label_agreement":null},{"id":"W2171083271","doi":"10.1109/iceis.2006.1703172","title":"Modeling Intelligent Ontology Evolution Using Biological Evolutionary Processes","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ontology; Process ontology; Ontology-based data integration; Computer science; Upper ontology; Suggested Upper Merged Ontology; Ontology components; Ontology alignment; Open Biomedical Ontologies; Ontology engineering; Domain (mathematical analysis); Artificial intelligence; Domain knowledge; Mathematics; Epistemology","score_opus":0.06301153626690754,"score_gpt":0.27613772852729673,"score_spread":0.2131261922603892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171083271","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07138586,0.00057354977,0.9040131,0.0017406818,0.00008604559,0.00010332228,0.00012931826,0.000283245,0.021684796],"genre_scores_gemma":[0.6444622,0.0013726704,0.34489125,0.00021627308,0.00007878093,0.0003124638,0.00034762596,0.00012574374,0.008192995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994904,0.0002247796,0.000034160726,0.00010198431,0.00009915683,0.000049520273],"domain_scores_gemma":[0.998806,0.00069138163,0.0001549696,0.00015331192,0.00011175847,0.00008248675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014673546,0.00051405176,0.00045897547,0.0013798604,0.0012313125,0.0026603178,0.0015837468,0.0016084794,0.0022581792],"category_scores_gemma":[0.004809928,0.0004687595,0.001159829,0.0011444826,0.001985833,0.0041725044,0.0019138758,0.0013260273,0.0003729851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020933714,0.000045291574,0.0019996802,0.000047069385,0.000044430806,0.00032337266,0.0005030742,0.5399642,0.0010685475,0.43862888,0.00064463576,0.016709978],"study_design_scores_gemma":[0.000010422734,0.000009312659,0.00022155521,0.000011416357,0.000015560663,0.000065876724,0.000082958664,0.85493696,0.00029705412,0.14006177,0.0042764274,0.000010689243],"about_ca_topic_score_codex":0.0052185142,"about_ca_topic_score_gemma":0.0055861175,"teacher_disagreement_score":0.0052185142,"about_ca_system_score_codex":0.0018327432,"about_ca_system_score_gemma":0.0009928098,"threshold_uncertainty_score":0.013297498},"labels":[],"label_agreement":null},{"id":"W2171306790","doi":"10.48550/arxiv.1208.0293","title":"The Distributed Ontology Language (DOL): Use Cases, Syntax, and Extensibility","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Interoperability; Ontology; Reusability; Ontology components; Standardization; Syntax; Extensibility; Semantics (computer science); Upper ontology; Web Ontology Language; Software engineering; Programming language; Ontology engineering; Modular design; Annotation; IDEF5; Information retrieval; World Wide Web; Semantic Web; Natural language processing; Artificial intelligence; Suggested Upper Merged Ontology; Software","score_opus":0.09716730834734724,"score_gpt":0.2102151780649964,"score_spread":0.11304786971764916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171306790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010851617,0.0025633653,0.933966,0.007230997,0.00024250748,0.00030016384,0.00051180547,0.0016808826,0.042652693],"genre_scores_gemma":[0.22100984,0.0047346945,0.75953585,0.0013777689,0.00036530173,0.0009704813,0.0017513442,0.00095141557,0.009303182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9863259,0.0054156994,0.002256652,0.0012796686,0.0041481215,0.0005739347],"domain_scores_gemma":[0.9907239,0.0049399305,0.00074473047,0.0020460158,0.0010946756,0.00045073155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014462402,0.0010839042,0.0010794171,0.005533451,0.0029827736,0.012546238,0.0029802746,0.003761881,0.0018770333],"category_scores_gemma":[0.017218383,0.0010674329,0.0011888976,0.0063132457,0.011792737,0.022294922,0.009666668,0.0042491443,0.00076848],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013103284,0.000023728839,0.00042334662,0.000095027484,0.000011378979,0.00028433074,0.0012881237,0.0009811352,0.0005163732,0.9685195,0.003468912,0.024374956],"study_design_scores_gemma":[0.000025180932,0.000018000188,0.00023448111,0.00029781117,0.000026992377,0.0011758576,0.00090534636,0.014314568,0.0021391485,0.77404463,0.20676537,0.000052690793],"about_ca_topic_score_codex":0.0046382695,"about_ca_topic_score_gemma":0.0042798035,"teacher_disagreement_score":0.014462402,"about_ca_system_score_codex":0.0032137106,"about_ca_system_score_gemma":0.0040148417,"threshold_uncertainty_score":0.076485395},"labels":[],"label_agreement":null},{"id":"W2174328857","doi":"10.1007/s10916-015-0375-3","title":"Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Workflow; Ontology; Task (project management); Software engineering; Clinical decision support system; Set (abstract data type); Knowledge management; Artificial intelligence; Decision support system; Programming language; Systems engineering; Database","score_opus":0.13383536872045146,"score_gpt":0.4120949565487047,"score_spread":0.2782595878282532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174328857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09398078,0.00013375065,0.898292,0.0008207271,0.00012161331,0.00022103699,0.00024755558,0.0011205003,0.0050620604],"genre_scores_gemma":[0.6828207,0.00016083245,0.31464523,0.00009866252,0.000020574107,0.00019995813,0.00033507097,0.000080949874,0.0016379786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991208,0.00039323996,0.00012225172,0.00011711398,0.00017331284,0.00007336373],"domain_scores_gemma":[0.9985257,0.00078635896,0.00015651557,0.0001373744,0.00027508795,0.00011905806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017846914,0.0006068179,0.00044852807,0.0014368759,0.0012892644,0.0037080843,0.001059539,0.0011243343,0.001635831],"category_scores_gemma":[0.0046602073,0.0005036473,0.00083290605,0.0011055777,0.0012828924,0.0036647026,0.0022737558,0.0009475644,0.00025637526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076916243,0.0003379648,0.013042137,0.00030973429,0.00031454093,0.0010087624,0.0051637846,0.62678367,0.008344897,0.25046822,0.0030377524,0.0904194],"study_design_scores_gemma":[0.000027927887,0.000036229714,0.0004825334,0.000034464243,0.00011268084,0.00005065239,0.00043716986,0.957944,0.0018260732,0.034678128,0.0043441965,0.000026029866],"about_ca_topic_score_codex":0.015308741,"about_ca_topic_score_gemma":0.014431735,"teacher_disagreement_score":0.015308741,"about_ca_system_score_codex":0.0012199797,"about_ca_system_score_gemma":0.0023056057,"threshold_uncertainty_score":0.030439258},"labels":[],"label_agreement":null},{"id":"W2175284575","doi":"","title":"Assessing The Quality Factors Found in In-Line Documentation Written in Natural Language: The JavadocMiner","year":2011,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Documentation; Computer science; Quality (philosophy); Natural (archaeology); Natural language; Natural language processing; Programming language; History","score_opus":0.08991207821701971,"score_gpt":0.36332592294645844,"score_spread":0.27341384472943875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175284575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9567606,0.00055543426,0.034993954,0.00021092345,0.000032655174,0.00016004534,0.00076669734,0.005285361,0.0012344584],"genre_scores_gemma":[0.89925265,0.00020913909,0.09494486,0.00011842058,0.000022300233,0.00013768571,0.0028148633,0.0009912322,0.0015088468],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.98513573,0.0043481705,0.0018848211,0.0020097485,0.00625455,0.00036686726],"domain_scores_gemma":[0.82028544,0.11020597,0.028633134,0.012795891,0.026258351,0.0018211829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011574023,0.000700046,0.00065500464,0.0039997594,0.0005064809,0.0019926652,0.0012333996,0.0009916783,0.0008106646],"category_scores_gemma":[0.071391895,0.0004753613,0.00043088332,0.0017022444,0.00064269896,0.0014626894,0.0013004069,0.0007338162,0.00046834574],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022812623,0.0020617615,0.31343898,0.0036521489,0.00066889776,0.0014867961,0.0120323505,0.012440928,0.12978871,0.0012171833,0.010592265,0.51033866],"study_design_scores_gemma":[0.00038928585,0.003188236,0.56992614,0.00094475294,0.00060243625,0.0030703715,0.0048248037,0.16440032,0.23462003,0.0013516536,0.016217036,0.00046490174],"about_ca_topic_score_codex":0.002685232,"about_ca_topic_score_gemma":0.005237078,"teacher_disagreement_score":0.011574023,"about_ca_system_score_codex":0.00084057817,"about_ca_system_score_gemma":0.0010921817,"threshold_uncertainty_score":0.061210036},"labels":[],"label_agreement":null},{"id":"W2175506846","doi":"10.22230/src.2012v3n1a47","title":"Drilling for Papers in INKE","year":2012,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Computer science; Chaining; Process (computing); Forward chaining; Plan (archaeology); Domain (mathematical analysis); Interface (matter); Animation; Listing (finance); World Wide Web; Data science; Operations research; Artificial intelligence; Computer graphics (images); Expert system; Engineering; Programming language; History; Business; Psychology","score_opus":0.1351611189471177,"score_gpt":0.400641904917846,"score_spread":0.26548078597072833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175506846","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0923715,0.0038663764,0.47842535,0.011429417,0.0059038717,0.003008559,0.008515447,0.13871054,0.2577689],"genre_scores_gemma":[0.26694527,0.0018558094,0.5592858,0.0034682823,0.0010091158,0.0017981444,0.007525284,0.023904687,0.13420762],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975573,0.0005843732,0.00034155045,0.00039245875,0.00097160594,0.00015279115],"domain_scores_gemma":[0.9690021,0.018856289,0.0018734866,0.0051167523,0.0034660595,0.0016851999],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0045605316,0.0009824422,0.0008019919,0.007175091,0.0025532553,0.0066072973,0.0013859187,0.0016497021,0.09807614],"category_scores_gemma":[0.044162624,0.00069333875,0.00088602304,0.0043981643,0.000851721,0.013199375,0.0062491456,0.001096844,0.025580982],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021537791,0.0003507274,0.010840406,0.0023645794,0.00010501301,0.0022913513,0.014398869,0.0007811183,0.014871801,0.039231565,0.21792307,0.6946878],"study_design_scores_gemma":[0.00017304654,0.00023735655,0.002957891,0.00048551295,0.00006649846,0.0008979956,0.00438761,0.0042125033,0.011321203,0.01934225,0.95579344,0.00012477038],"about_ca_topic_score_codex":0.0004427573,"about_ca_topic_score_gemma":0.0009892263,"teacher_disagreement_score":0.9933927,"about_ca_system_score_codex":0.00048985035,"about_ca_system_score_gemma":0.00074829534,"threshold_uncertainty_score":0.32809734},"labels":[],"label_agreement":null},{"id":"W2176946112","doi":"10.5339/qfarc.2014.itpp0792","title":"A Cross-platform Benchmark Framework For Mobile Semantic Web Reasoning Engines In Clinical Decision Support Systems","year":2014,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Conference Proceedings Volume 2014 Issue 1","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Semantic reasoner; Semantic Web; Benchmark (surveying); SPARQL; Mobile device; RDF; Mobile Web; Mobile computing; Mobile technology; Database; World Wide Web; Artificial intelligence; Computer network","score_opus":0.05966507877272511,"score_gpt":0.417219652679099,"score_spread":0.3575545739063739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176946112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030568155,0.0008237117,0.93094176,0.0011403621,0.00020490846,0.0021141707,0.0018916744,0.02222334,0.010091845],"genre_scores_gemma":[0.15772747,0.00049411226,0.8276521,0.0003800281,0.00006123711,0.0012698859,0.007960055,0.0023776349,0.002077457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98374903,0.005530448,0.0031217993,0.0017586887,0.0046699913,0.0011700364],"domain_scores_gemma":[0.9889177,0.003883764,0.00067690964,0.0026395123,0.0031283528,0.0007536771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021731526,0.0019483418,0.0011777558,0.004718517,0.0012941412,0.007062257,0.0059968494,0.0023518363,0.0027392637],"category_scores_gemma":[0.024710452,0.0010948355,0.002705416,0.0023111338,0.0016593428,0.006148929,0.005838671,0.002721591,0.0012679622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012753729,0.0020132526,0.011887857,0.00243916,0.0007502612,0.0022071686,0.0016480682,0.3533537,0.018854778,0.31670403,0.027040726,0.26182562],"study_design_scores_gemma":[0.00016746979,0.00038847723,0.0019858596,0.00056368206,0.00016446305,0.00047385108,0.00040893318,0.86137784,0.022372693,0.0516631,0.06030793,0.00012569166],"about_ca_topic_score_codex":0.012194798,"about_ca_topic_score_gemma":0.010411601,"teacher_disagreement_score":0.021731526,"about_ca_system_score_codex":0.0038417776,"about_ca_system_score_gemma":0.0053614066,"threshold_uncertainty_score":0.11492866},"labels":[],"label_agreement":null},{"id":"W2178026535","doi":"10.3233/ao-2011-0087","title":"MIREOT: The minimum information to reference an external ontology term","year":2011,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Computer science; Term (time); Ontology; Information retrieval","score_opus":0.050175060076623264,"score_gpt":0.25819491432132446,"score_spread":0.2080198542447012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178026535","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016469182,0.0018195382,0.86451906,0.0018241026,0.0010155938,0.00043940166,0.021954458,0.03946202,0.052496593],"genre_scores_gemma":[0.11128802,0.001189596,0.8029602,0.0012822403,0.00038583236,0.0006214228,0.0506034,0.009925025,0.021744289],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99405634,0.0010884238,0.00086904573,0.0012143077,0.0023317097,0.00044014322],"domain_scores_gemma":[0.9927617,0.001467382,0.000514555,0.0031891563,0.001801858,0.00026536378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00441367,0.001154826,0.001704156,0.0065245233,0.0023237197,0.00439858,0.0030926012,0.0022917858,0.015999017],"category_scores_gemma":[0.021873018,0.0010322669,0.0016623426,0.0033507627,0.001436655,0.01136353,0.0064364737,0.0021331566,0.014679213],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013325444,0.00021822391,0.0040669893,0.0022401551,0.0002020824,0.0007169262,0.0016383957,0.005062367,0.025679,0.24681275,0.17469525,0.5373354],"study_design_scores_gemma":[0.000078066885,0.000120936216,0.0014400559,0.0008023286,0.00016905648,0.0008505978,0.00035392682,0.017395942,0.04004367,0.10142541,0.8371507,0.00016938602],"about_ca_topic_score_codex":0.0033878027,"about_ca_topic_score_gemma":0.0064308993,"teacher_disagreement_score":0.015999017,"about_ca_system_score_codex":0.0015839157,"about_ca_system_score_gemma":0.0032260288,"threshold_uncertainty_score":0.05352205},"labels":[],"label_agreement":null},{"id":"W2179014187","doi":"10.4018/978-1-61520-839-5.ch019","title":"Modeling for Knowledge Management in Organizations","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Knowledge management; Personal knowledge management; Organizational learning; Knowledge engineering; Intellectual capital; Data management; Context (archaeology); Organizational memory; Computer science","score_opus":0.027356379556965627,"score_gpt":0.26725970644103175,"score_spread":0.23990332688406613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179014187","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036763349,0.01606824,0.82805705,0.011579419,0.00065855804,0.00021594328,0.0009301303,0.0009651485,0.13784915],"genre_scores_gemma":[0.1547023,0.026515264,0.74970454,0.0020702125,0.00077064865,0.0014084836,0.0033502553,0.0005652375,0.060913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99890435,0.00050342747,0.000095991876,0.00014892545,0.00027535844,0.00007205755],"domain_scores_gemma":[0.9990822,0.00055977725,0.00006716288,0.00013228077,0.00010632495,0.000052173982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017350346,0.0011857812,0.00096294767,0.0016480883,0.0014532973,0.0054205824,0.0026475866,0.0030895583,0.010660711],"category_scores_gemma":[0.0031386393,0.0005873705,0.0016829354,0.003652851,0.0020259647,0.0062253857,0.00301374,0.0027085275,0.0034776707],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073905026,0.000028224871,0.00014494287,0.00022172777,0.000030301202,0.00010523017,0.0004397388,0.033096593,0.0001657601,0.9224551,0.009718784,0.03358617],"study_design_scores_gemma":[0.000008425964,0.000006246698,0.00006789187,0.00022104109,0.000017279477,0.00006227061,0.00015465998,0.06509174,0.00014556755,0.80421567,0.12999529,0.0000138448095],"about_ca_topic_score_codex":0.009591435,"about_ca_topic_score_gemma":0.0075780195,"teacher_disagreement_score":0.010660711,"about_ca_system_score_codex":0.0032681837,"about_ca_system_score_gemma":0.0024375743,"threshold_uncertainty_score":0.035663605},"labels":[],"label_agreement":null},{"id":"W2179037780","doi":"10.3233/ao-140135","title":"Semantic Web and Big Data meets Applied Ontology","year":2014,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Coordination Office; National Institute of Standards and Technology","keywords":"Computer science; Ontology; Semantic Web; Information retrieval; Big data; World Wide Web; Data science; Data mining","score_opus":0.045680348395927314,"score_gpt":0.24914371243844857,"score_spread":0.20346336404252124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179037780","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00692631,0.011931447,0.6644361,0.098951474,0.0018471779,0.00022948162,0.0005734505,0.0006375554,0.214467],"genre_scores_gemma":[0.42245495,0.025385644,0.49594283,0.01858142,0.007936432,0.0011142575,0.0019502173,0.0005428003,0.026091482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98409915,0.006767136,0.0014373836,0.0016134636,0.0052896063,0.0007933839],"domain_scores_gemma":[0.983077,0.009387323,0.0007654031,0.0037681286,0.0021101453,0.00089198066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01376503,0.00086777925,0.0017336361,0.0037427135,0.0033749938,0.014791014,0.002110969,0.0059755472,0.005111197],"category_scores_gemma":[0.020807229,0.0008211543,0.0014672268,0.005443634,0.015921745,0.029797,0.011279302,0.0075074295,0.0019993247],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005888247,0.000008396282,0.000117651114,0.00006503083,0.000012391151,0.000098044555,0.0001557021,0.0002984818,0.00007632056,0.99021846,0.0020898685,0.0068538142],"study_design_scores_gemma":[0.000005583485,0.000003566247,0.000060775346,0.00003789553,0.0000037585366,0.00011891668,0.00013743379,0.001285191,0.00010340907,0.9728635,0.025373776,0.0000062457925],"about_ca_topic_score_codex":0.0037147067,"about_ca_topic_score_gemma":0.0020872867,"teacher_disagreement_score":0.014791014,"about_ca_system_score_codex":0.0037545112,"about_ca_system_score_gemma":0.006842682,"threshold_uncertainty_score":0.07279724},"labels":[],"label_agreement":null},{"id":"W2183100721","doi":"","title":"A Proposal to Create Linked Sensor Data with JSON-LD","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"JSON; Computer science; Linked data; World Wide Web; RDF; XML; Sensor web; Metadata; Semantic Web; Information retrieval","score_opus":0.03133099304472773,"score_gpt":0.279085147894589,"score_spread":0.24775415484986127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183100721","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017134511,0.00052761444,0.9695025,0.0010921671,0.0009756412,0.0005521337,0.00083001767,0.014220169,0.010586242],"genre_scores_gemma":[0.03451247,0.0015681229,0.9175845,0.0023898913,0.00062185194,0.0013964323,0.008252571,0.004698345,0.028975872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966319,0.00061326055,0.00035582762,0.0005709535,0.0015702015,0.0002578251],"domain_scores_gemma":[0.99613935,0.00050275645,0.00015501422,0.0015285222,0.0012791748,0.0003952148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004876315,0.0011833542,0.0008049986,0.0027270776,0.0019058607,0.0051726513,0.004625828,0.0030098339,0.008765401],"category_scores_gemma":[0.0067803143,0.00094665575,0.0021856867,0.0030058403,0.0020957652,0.0084182145,0.0058531286,0.004987537,0.006144279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046117025,0.0005661255,0.0021620912,0.0014371994,0.00021161101,0.0015060054,0.0026477764,0.009562119,0.044229552,0.42019337,0.108375244,0.40864778],"study_design_scores_gemma":[0.00008850921,0.00018243279,0.00053860195,0.000274737,0.00012601573,0.00072920317,0.00023143915,0.048660964,0.03177943,0.05785623,0.85933477,0.00019761821],"about_ca_topic_score_codex":0.0036498273,"about_ca_topic_score_gemma":0.0024283712,"teacher_disagreement_score":0.008765401,"about_ca_system_score_codex":0.0012356414,"about_ca_system_score_gemma":0.0022442248,"threshold_uncertainty_score":0.02932316},"labels":[],"label_agreement":null},{"id":"W2183389237","doi":"","title":"GLOW TAC-KBP2011 Entity Linking System ⁄","year":2011,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Information extraction; Information retrieval; Isolation (microbiology); Word (group theory); Natural language processing; World Wide Web; Knowledge management; Linguistics; Management; Bioinformatics","score_opus":0.017806537314483655,"score_gpt":0.22885736797515502,"score_spread":0.21105083066067137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183389237","genre_codex":"software","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02389821,0.0013455916,0.20283665,0.002497526,0.0010548453,0.0029663283,0.16352467,0.5341518,0.06772448],"genre_scores_gemma":[0.061193377,0.00038512077,0.26381236,0.0012557921,0.00017590442,0.0021125097,0.6123609,0.020732418,0.037971646],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929512,0.0019533308,0.0007672393,0.0014820748,0.0023908676,0.00045524538],"domain_scores_gemma":[0.99034506,0.0019176351,0.00050157134,0.0045098504,0.002273342,0.0004525254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008520712,0.002959104,0.0022737766,0.0076169376,0.002667599,0.004895981,0.0055296295,0.0050291102,0.03659314],"category_scores_gemma":[0.015148773,0.0016416641,0.0018082055,0.0048986482,0.0012406335,0.010134831,0.008046928,0.003725933,0.062457502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067543675,0.00048769545,0.00087271986,0.0010810498,0.00018523759,0.00055860676,0.00081310066,0.002647509,0.013230383,0.0101110125,0.7706316,0.19870561],"study_design_scores_gemma":[0.00089517655,0.0004200877,0.0038098902,0.00029544276,0.00015501738,0.001251494,0.00063276186,0.06464961,0.039459936,0.022613548,0.8654694,0.00034751775],"about_ca_topic_score_codex":0.011021941,"about_ca_topic_score_gemma":0.0098800985,"teacher_disagreement_score":0.03659314,"about_ca_system_score_codex":0.001929685,"about_ca_system_score_gemma":0.0038130174,"threshold_uncertainty_score":0.12241626},"labels":[],"label_agreement":null},{"id":"W2184793269","doi":"10.29173/cais29","title":"Meta- and Object-language in Information Retrieval Research","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"CLARITY; Antecedent (behavioral psychology); Object (grammar); Metadata; Computer science; Information retrieval; Linguistics; Natural language processing; Epistemology; Data science; Artificial intelligence; World Wide Web; Psychology; Philosophy; Social psychology","score_opus":0.05708229037322738,"score_gpt":0.28968860017356557,"score_spread":0.2326063098003382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184793269","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0330413,0.36792946,0.25837144,0.08536301,0.0031323233,0.00017868968,0.00034670086,0.00046164155,0.25117555],"genre_scores_gemma":[0.7601083,0.086791396,0.118146725,0.010508722,0.005196381,0.0006430988,0.0002851973,0.00037081508,0.01794942],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9835745,0.010909818,0.0014459764,0.0011363429,0.0023909772,0.00054238236],"domain_scores_gemma":[0.98326623,0.013174976,0.0009614873,0.0012972819,0.000942014,0.00035800558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018079512,0.00081316865,0.0013183163,0.0119752735,0.0027083496,0.017412102,0.0019705673,0.0046685957,0.0040049963],"category_scores_gemma":[0.016351292,0.00070053386,0.0011201532,0.011510184,0.021997267,0.03517795,0.004399252,0.0043443493,0.001119518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014476602,0.000012776092,0.00026600214,0.0002228015,0.0000105954905,0.00004400337,0.002704036,0.00018999768,0.000126658,0.9848683,0.00069231703,0.010847993],"study_design_scores_gemma":[0.000025379939,0.000044325116,0.0005897758,0.0009197473,0.000039084447,0.00025304547,0.0038264063,0.0011749284,0.00065820134,0.93257034,0.059855536,0.000043303116],"about_ca_topic_score_codex":0.0038022033,"about_ca_topic_score_gemma":0.002365496,"teacher_disagreement_score":0.018079512,"about_ca_system_score_codex":0.006606762,"about_ca_system_score_gemma":0.0043121567,"threshold_uncertainty_score":0.09561467},"labels":[],"label_agreement":null},{"id":"W2185204676","doi":"","title":"Programming Languages for the Semantic Web","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Semantic Web; Semantic Web Stack; Programming language; World Wide Web; Fifth-generation programming language; Social Semantic Web; Comparison of multi-paradigm programming languages; Second-generation programming language; Programming paradigm","score_opus":0.05104644775252461,"score_gpt":0.27651931388172196,"score_spread":0.22547286612919737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185204676","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00068209495,0.0011274215,0.98220426,0.0031375426,0.00036388077,0.00008678193,0.000103972,0.0011820539,0.01111196],"genre_scores_gemma":[0.036464967,0.0039586965,0.94483227,0.002568397,0.00075033936,0.00061839126,0.0005929455,0.0012031768,0.009010846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939474,0.0024507525,0.0009125919,0.0006098061,0.0017868261,0.00029259402],"domain_scores_gemma":[0.9928819,0.0043930244,0.00047121235,0.0012294988,0.0007512594,0.000273146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008412838,0.0013267789,0.0009180921,0.0017087546,0.0022514928,0.006525049,0.0025739854,0.002276449,0.0070179533],"category_scores_gemma":[0.010827923,0.0010911578,0.0024794543,0.002470555,0.0047690286,0.015055265,0.0046005775,0.009479891,0.002582794],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006289654,0.0000124863245,0.00003961423,0.000116203184,0.000010410265,0.000036561956,0.00024782473,0.0009383572,0.00024029183,0.98145723,0.0031521083,0.013742591],"study_design_scores_gemma":[0.000013675783,0.0000098934615,0.000022959748,0.00015449245,0.000013836382,0.00010989507,0.000100639976,0.0053406213,0.00064228603,0.88304037,0.1105352,0.000016103824],"about_ca_topic_score_codex":0.0012085002,"about_ca_topic_score_gemma":0.0015502188,"teacher_disagreement_score":0.008412838,"about_ca_system_score_codex":0.001538049,"about_ca_system_score_gemma":0.0036758203,"threshold_uncertainty_score":0.044491887},"labels":[],"label_agreement":null},{"id":"W2185312150","doi":"","title":"SemLinker system for KBP2013: A disambiguation algorithm based on mutual relations of semantic annotations inside a document.","year":2013,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Entity linking; Annotation; Information retrieval; Process (computing); Ranking (information retrieval); Natural language processing; Artificial intelligence; Programming language; Knowledge base","score_opus":0.00913259396379512,"score_gpt":0.24552569973932942,"score_spread":0.2363931057755343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185312150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007241247,0.00105995,0.8533456,0.00039893383,0.00039863263,0.0005576756,0.013011834,0.11434228,0.009643856],"genre_scores_gemma":[0.032918263,0.00041835182,0.919867,0.00023110458,0.00009586726,0.00049930875,0.032508697,0.0069392426,0.006522195],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955089,0.0012383595,0.0005505578,0.0011983033,0.0013356445,0.00016825802],"domain_scores_gemma":[0.99331576,0.0029550088,0.00061619986,0.0014082266,0.0015182605,0.0001865617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054374645,0.0019889257,0.0014975279,0.012226765,0.0030821313,0.0039875694,0.00263368,0.0023974103,0.018681396],"category_scores_gemma":[0.019819144,0.0013653017,0.0014119154,0.0072833244,0.0009575607,0.008147365,0.006238181,0.002184491,0.016801331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006599011,0.00024437215,0.002828824,0.0023762502,0.00039994312,0.00078184175,0.0019440072,0.0063549406,0.017336922,0.041223835,0.2092137,0.71663547],"study_design_scores_gemma":[0.00034603794,0.00020689609,0.0033873953,0.00063772494,0.0003382335,0.0013493635,0.0011866678,0.14368168,0.061015986,0.07690242,0.7105858,0.00036179175],"about_ca_topic_score_codex":0.0038915921,"about_ca_topic_score_gemma":0.00714209,"teacher_disagreement_score":0.018681396,"about_ca_system_score_codex":0.0013210017,"about_ca_system_score_gemma":0.0028860073,"threshold_uncertainty_score":0.06249553},"labels":[],"label_agreement":null},{"id":"W2185738979","doi":"","title":"An Ontology-based Visual Interface for Browsing and Summarizing Conversations","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Conversation; Dialog box; Interface (matter); Ontology; Human–computer interaction; Parsing; Natural language processing; World Wide Web; Artificial intelligence; Information retrieval; Linguistics","score_opus":0.059340480480411656,"score_gpt":0.3098767734044032,"score_spread":0.2505362929239916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185738979","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004639533,0.00013016447,0.9485205,0.00031952534,0.00008755195,0.0003060057,0.0019847625,0.03402022,0.009991803],"genre_scores_gemma":[0.06628235,0.0003718418,0.91154623,0.00044572446,0.00007396808,0.0009915662,0.0041062045,0.003987487,0.012194619],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995484,0.00016274136,0.00004302079,0.00007204393,0.0001359283,0.00003787783],"domain_scores_gemma":[0.99855906,0.0008712019,0.00005138778,0.00016979499,0.00023360421,0.00011492728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014795039,0.0010074923,0.00047824392,0.001761479,0.0005477891,0.002063906,0.0012392782,0.0010846505,0.026122974],"category_scores_gemma":[0.0042208475,0.00038939592,0.0006785499,0.0010484678,0.00043068908,0.00319649,0.0019280757,0.0011291272,0.0056128865],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012599649,0.00043283013,0.0013879244,0.0016487228,0.000110006775,0.0009919531,0.012043808,0.0066003026,0.09848464,0.06941388,0.16371469,0.64391124],"study_design_scores_gemma":[0.00037538406,0.00027198816,0.0028832797,0.00052508747,0.00014637008,0.0010332459,0.0027123583,0.14323916,0.037849303,0.06683393,0.7438588,0.00027110198],"about_ca_topic_score_codex":0.0030738935,"about_ca_topic_score_gemma":0.0032447185,"teacher_disagreement_score":0.026122974,"about_ca_system_score_codex":0.00047751307,"about_ca_system_score_gemma":0.0005708998,"threshold_uncertainty_score":0.087390125},"labels":[],"label_agreement":null},{"id":"W2187645767","doi":"","title":"Classification and Ambiguity: The Role of Definition in a Conceptual System","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Ambiguity; Dialectic; Epistemology; Dilemma; Interpretation (philosophy); Perspective (graphical); Relation (database); Computer science; Linguistics; Semantic theory of truth; Metaphysics; Natural (archaeology); Sociology; Philosophy; Artificial intelligence; History","score_opus":0.035159787322742296,"score_gpt":0.22014257030343354,"score_spread":0.18498278298069123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187645767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060438443,0.014035707,0.66652215,0.041263707,0.0013521897,0.00019293187,0.00019132662,0.0003399666,0.21566358],"genre_scores_gemma":[0.8755182,0.0023360935,0.11563666,0.001315315,0.0004953217,0.00022494889,0.00017305344,0.00018159433,0.004118889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98082674,0.012081345,0.0010140719,0.0019829338,0.003137916,0.0009570651],"domain_scores_gemma":[0.9858642,0.0084757935,0.0010958913,0.0025827088,0.0012077687,0.00077358517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01907096,0.0009917208,0.0017814491,0.007751982,0.008100969,0.018191779,0.0035570322,0.0049091517,0.0031212159],"category_scores_gemma":[0.023935767,0.0008854695,0.001388891,0.0061688866,0.07719876,0.054276377,0.011328831,0.0060114916,0.0005986468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007756164,0.0000028165862,0.00012353598,0.000019245232,0.0000030971903,0.000021737811,0.002384569,0.00010892046,0.000049323968,0.9946097,0.0002084957,0.0024607596],"study_design_scores_gemma":[0.0000055653773,0.0000051248953,0.00006861875,0.000041917247,0.0000061115315,0.00005430934,0.0008757739,0.00071799615,0.00006755504,0.989402,0.008745925,0.000009260519],"about_ca_topic_score_codex":0.0035378747,"about_ca_topic_score_gemma":0.0016273337,"teacher_disagreement_score":0.01907096,"about_ca_system_score_codex":0.0070563913,"about_ca_system_score_gemma":0.0040929727,"threshold_uncertainty_score":0.10085815},"labels":[],"label_agreement":null},{"id":"W2188814629","doi":"","title":"Learning Model Transformations from Examples using FCA: One for All or All for One?","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Executable; Transformation (genetics); Schema (genetic algorithms); Model transformation; Set (abstract data type); Class (philosophy); Theoretical computer science; Formal concept analysis; Artificial intelligence; Data mining; Programming language; Machine learning; Algorithm","score_opus":0.25798026866045376,"score_gpt":0.3368610556600236,"score_spread":0.07888078699956985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188814629","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07882246,0.0010365235,0.90585816,0.0030417019,0.00011087726,0.00024772444,0.0005767753,0.004482751,0.0058230683],"genre_scores_gemma":[0.43223777,0.00040273642,0.56159854,0.0006720559,0.00007275876,0.00018209364,0.0019730418,0.00031057093,0.0025504874],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99711454,0.0011745283,0.00017140192,0.00077840296,0.00060190173,0.00015919564],"domain_scores_gemma":[0.9907386,0.006197001,0.00031659091,0.0016048569,0.0009487747,0.0001941874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041083135,0.0009945594,0.0011540815,0.0014009805,0.00074383966,0.0018738046,0.0025438173,0.0020038749,0.004743302],"category_scores_gemma":[0.018281467,0.00048740412,0.0016502142,0.0012114523,0.0010988594,0.004684203,0.0016583542,0.0024032302,0.0011711306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004852795,0.00056981645,0.011455148,0.00044204187,0.00049049646,0.00033572456,0.00037555577,0.09793871,0.0035816496,0.018425953,0.016212434,0.84968716],"study_design_scores_gemma":[0.00004138027,0.0000612792,0.0008469617,0.000086276625,0.00012147395,0.00019536434,0.00015967115,0.9439207,0.0046770386,0.04454811,0.0053186216,0.000023195407],"about_ca_topic_score_codex":0.005594109,"about_ca_topic_score_gemma":0.009194249,"teacher_disagreement_score":0.005594109,"about_ca_system_score_codex":0.0010445253,"about_ca_system_score_gemma":0.0016321174,"threshold_uncertainty_score":0.021727085},"labels":[],"label_agreement":null},{"id":"W2188877754","doi":"10.5753/cbie.wcbie.2015.568","title":"Técnicas de Marcação Estruturada na Otimização de Sites para Buscas Semânticas: Um Estudo de Caso com o Site do Curso de Ciência da Computação do IFSULDEMINAS Câmpus Muzambinho","year":2015,"lang":"pt","type":"article","venue":"Anais ... Workshops do Congresso Brasileiro de Informática na Educação","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Bureau for International Education","keywords":"Humanities; Computer science; Philosophy; Physics","score_opus":0.05546748139285357,"score_gpt":0.3253120524889622,"score_spread":0.26984457109610865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188877754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71844304,0.00248669,0.18134215,0.0035457942,0.0003150065,0.00046029373,0.000782434,0.0029661162,0.08965844],"genre_scores_gemma":[0.8981311,0.0008282231,0.0787128,0.00015691476,0.00003941397,0.00016257404,0.00034551055,0.000556283,0.021067241],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99495417,0.0017775233,0.00025767327,0.000701134,0.0019429352,0.00036657066],"domain_scores_gemma":[0.9842913,0.0070615397,0.0015162157,0.0036461728,0.002751163,0.00073360006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004346631,0.00047713786,0.0005857643,0.00309715,0.003521201,0.008091962,0.0013871309,0.0017775503,0.007013941],"category_scores_gemma":[0.022027584,0.00069653796,0.0006288167,0.0041265134,0.0030077342,0.008102973,0.005285837,0.0013794866,0.0017997614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005721741,0.0003687718,0.10312916,0.001700226,0.00012765419,0.0036113958,0.16970548,0.004506079,0.051371388,0.1906349,0.014788955,0.45948377],"study_design_scores_gemma":[0.00008563014,0.00033621627,0.0939861,0.0013229264,0.00028466992,0.0050779106,0.12500432,0.034081805,0.04625767,0.08282508,0.6103811,0.0003565015],"about_ca_topic_score_codex":0.013781709,"about_ca_topic_score_gemma":0.020719822,"teacher_disagreement_score":0.013781709,"about_ca_system_score_codex":0.0021985886,"about_ca_system_score_gemma":0.002665884,"threshold_uncertainty_score":0.027402937},"labels":[],"label_agreement":null},{"id":"W2191249398","doi":"10.7717/peerj-cs.37","title":"Semantic representation of scientific literature: bringing claims, contributions and named entities onto the Linked Open Data cloud","year":2015,"lang":"en","type":"article","venue":"PeerJ Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Linked data; Workflow; Entity linking; Information retrieval; RDF; Semantic Web; Semantic search; Knowledge base; World Wide Web; Pipeline (software); Named-entity recognition; Cloud computing; SPARQL; Data science; Database; Task (project management)","score_opus":0.09285361448683829,"score_gpt":0.34650875490402794,"score_spread":0.2536551404171896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191249398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010544416,0.001703597,0.9433813,0.0065242304,0.00035420308,0.00059992267,0.01311281,0.011651729,0.012127754],"genre_scores_gemma":[0.105378866,0.0019867786,0.8567044,0.0010493142,0.00035952928,0.0003925532,0.029312659,0.001284126,0.0035318248],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9925759,0.0018368965,0.000874604,0.0013613813,0.0030057332,0.00034541296],"domain_scores_gemma":[0.98558134,0.0047008083,0.0015049846,0.0048639653,0.0025905424,0.00075843505],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0064605963,0.0007726232,0.0011362338,0.017817654,0.0028040374,0.012725535,0.0031777644,0.0019216266,0.0023382585],"category_scores_gemma":[0.022879412,0.00063023233,0.00199838,0.017205728,0.0032385958,0.015702471,0.008829204,0.0030212293,0.0026020529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028148005,0.00041491236,0.0071587916,0.0017373723,0.00018976355,0.0015930934,0.005344825,0.021660114,0.009659983,0.53937906,0.048998587,0.363582],"study_design_scores_gemma":[0.000037387308,0.000040919986,0.002749741,0.00064907724,0.00013153395,0.0004634508,0.0021830779,0.10687013,0.0141439065,0.56902826,0.30357176,0.00013077522],"about_ca_topic_score_codex":0.009743605,"about_ca_topic_score_gemma":0.010897784,"teacher_disagreement_score":0.99682224,"about_ca_system_score_codex":0.003028313,"about_ca_system_score_gemma":0.005464214,"threshold_uncertainty_score":0.03416729},"labels":[],"label_agreement":null},{"id":"W2200473356","doi":"","title":"Assertion absorption in object queries over knowledge bases","year":2012,"lang":"en","type":"article","venue":"Principles of Knowledge Representation and Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Assertion; Computer science; Knowledge base; Object (grammar); Information retrieval; Knowledge-based systems; Base (topology); Knowledge extraction; Absorption (acoustics); Theoretical computer science; Artificial intelligence; Programming language; Mathematics","score_opus":0.04915225042878439,"score_gpt":0.33164701157830595,"score_spread":0.28249476114952154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200473356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02658323,0.00023979408,0.9676906,0.0003761139,0.00001994308,0.00017303672,0.00011852819,0.0026487599,0.0021501288],"genre_scores_gemma":[0.31183362,0.00037633447,0.6815204,0.00041121474,0.00010024962,0.0003184661,0.0008277443,0.000642471,0.0039694537],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9910415,0.0025839324,0.00074553426,0.0009794515,0.0040504374,0.0005990388],"domain_scores_gemma":[0.9784838,0.01511876,0.0011311539,0.0035147225,0.0014843886,0.0002672242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007016993,0.0009554742,0.0014138893,0.0024945757,0.0012125664,0.0034199418,0.003073902,0.0013580907,0.0035382088],"category_scores_gemma":[0.020944392,0.0010679399,0.0015444175,0.0038597041,0.0019706308,0.01048348,0.005156611,0.002404496,0.0012052923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016564596,0.0011984565,0.0041463044,0.00088491733,0.00025965163,0.0010894182,0.003435662,0.075545706,0.052210264,0.23840302,0.013848346,0.60732174],"study_design_scores_gemma":[0.00018020562,0.00029956194,0.0009985704,0.00009975323,0.00018367944,0.0008215848,0.0008700893,0.74681455,0.060530793,0.17025253,0.01883756,0.00011105376],"about_ca_topic_score_codex":0.0028547253,"about_ca_topic_score_gemma":0.0031528461,"teacher_disagreement_score":0.007016993,"about_ca_system_score_codex":0.0010814794,"about_ca_system_score_gemma":0.0017485906,"threshold_uncertainty_score":0.037109792},"labels":[],"label_agreement":null},{"id":"W2202953107","doi":"10.16995/dscn.24","title":"NewRadial: Challenging scales and standards of humanities scholarship through new knowledge environment prototypes","year":2015,"lang":"en","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Metadata; Digital humanities; Big data; Humanities; Computer science; World Wide Web; Scholarship; Variety (cybernetics); Meaning (existential); Plural; Data science; Sociology; Epistemology; Artificial intelligence; Political science; Art; Philosophy; Linguistics","score_opus":0.10538436739456984,"score_gpt":0.30992398281791655,"score_spread":0.2045396154233467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2202953107","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07161672,0.002167541,0.35147306,0.060251083,0.0017507793,0.00064142677,0.0006392016,0.005224335,0.5062359],"genre_scores_gemma":[0.429813,0.0013743344,0.46288922,0.0046890643,0.00037228077,0.001097566,0.0011157027,0.0033218497,0.09532707],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97682005,0.014822612,0.0007385665,0.0019518164,0.0045510293,0.0011158916],"domain_scores_gemma":[0.9675707,0.015376885,0.0005452749,0.010090796,0.0034545572,0.0029618603],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.034725513,0.00046992116,0.0006689761,0.0022344699,0.0068862783,0.028705178,0.0061543686,0.003537533,0.020083018],"category_scores_gemma":[0.03858527,0.0007691075,0.0010000151,0.0016560442,0.024898542,0.04502966,0.028931154,0.00499276,0.003729023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015095157,0.0001830572,0.0005466361,0.00022673508,0.000014545619,0.0003489424,0.05305518,0.00073140213,0.0012199437,0.87280226,0.022268193,0.048452258],"study_design_scores_gemma":[0.000076638404,0.00009222852,0.00022556579,0.00030433194,0.00001262079,0.0003877615,0.026005806,0.0030903781,0.0015086617,0.33097044,0.63725907,0.00006661204],"about_ca_topic_score_codex":0.003861397,"about_ca_topic_score_gemma":0.007926365,"teacher_disagreement_score":0.9712948,"about_ca_system_score_codex":0.0044911085,"about_ca_system_score_gemma":0.005970471,"threshold_uncertainty_score":0.18364829},"labels":[],"label_agreement":null},{"id":"W2203069020","doi":"10.1007/978-3-642-37996-3_22","title":"When Mommy Blogs Are Semantically Tagged","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ontology; Scope (computer science); Axiom; Feature (linguistics); Expression (computer science); Component (thermodynamics); Natural language processing; Artificial intelligence; World Wide Web; Linguistics; Programming language; Epistemology","score_opus":0.019377114308599605,"score_gpt":0.23363880508898935,"score_spread":0.21426169078038976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203069020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48062024,0.002675012,0.104684725,0.01991421,0.006082292,0.00035117997,0.0100347735,0.00904805,0.36658952],"genre_scores_gemma":[0.90955365,0.0007424108,0.025276136,0.002000247,0.0008022722,0.00014322542,0.007556243,0.0025407728,0.051384974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733955,0.00045410972,0.00017291908,0.0007004045,0.00087864813,0.00045446327],"domain_scores_gemma":[0.98717636,0.006899801,0.0009960213,0.0019463918,0.0020712523,0.0009100861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022029614,0.00032021734,0.00041950413,0.0028178308,0.0023635072,0.00940886,0.00085107447,0.002469163,0.020744067],"category_scores_gemma":[0.036437172,0.00076016405,0.0005179906,0.0028334348,0.0016157659,0.022789294,0.0040731756,0.0017282515,0.0074487566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023567856,0.00037061694,0.1105474,0.0008286227,0.00016704727,0.0043815435,0.028117482,0.0018080893,0.02762631,0.44419253,0.15637943,0.22322412],"study_design_scores_gemma":[0.000115319104,0.00015298657,0.06517125,0.0010442319,0.00025487578,0.0034068567,0.05494127,0.020767914,0.021846848,0.3641402,0.46790937,0.000248853],"about_ca_topic_score_codex":0.0036348207,"about_ca_topic_score_gemma":0.0052888296,"teacher_disagreement_score":0.020744067,"about_ca_system_score_codex":0.0015089328,"about_ca_system_score_gemma":0.0011575762,"threshold_uncertainty_score":0.06939578},"labels":[],"label_agreement":null},{"id":"W2204842813","doi":"10.1109/sita.2015.7358442","title":"Schema Matching as complex adaptive system","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Schema matching; Computer science; Schema (genetic algorithms); Schema evolution; Matching (statistics); Complex system; Complex adaptive system; Data science; Artificial intelligence; Data mining; Theoretical computer science; Machine learning; Database schema; Data integration; Mathematics","score_opus":0.10232164970598752,"score_gpt":0.2867629401899376,"score_spread":0.18444129048395008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204842813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023218082,0.00093682396,0.9650396,0.001609114,0.000065458946,0.00016116211,0.000106882086,0.000718197,0.008144665],"genre_scores_gemma":[0.41952598,0.0013105567,0.5721548,0.0006059669,0.00008803542,0.00029052395,0.00043064274,0.00016309184,0.0054303557],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968081,0.0010920259,0.00026412186,0.000972439,0.00071605475,0.00014717093],"domain_scores_gemma":[0.99569315,0.0020716025,0.0005046362,0.0010489869,0.00042296475,0.00025868905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036212297,0.00037868536,0.00070065237,0.0018506646,0.0011708406,0.004645028,0.002037311,0.0018508213,0.004219996],"category_scores_gemma":[0.010334491,0.000498299,0.0010653199,0.0023460155,0.0032282253,0.0068978155,0.0040301112,0.0017916254,0.0006638805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006844211,0.000071787894,0.0026318466,0.00024271455,0.00014965763,0.00031778796,0.0011264064,0.08921567,0.0034697745,0.8143679,0.002182228,0.086155966],"study_design_scores_gemma":[0.000022686309,0.000030987816,0.0006013522,0.00004720024,0.000049270515,0.00030679692,0.00025918402,0.33468345,0.0016584083,0.6411054,0.021197405,0.000037863938],"about_ca_topic_score_codex":0.0028862816,"about_ca_topic_score_gemma":0.0014033401,"teacher_disagreement_score":0.004645028,"about_ca_system_score_codex":0.001970116,"about_ca_system_score_gemma":0.0015494544,"threshold_uncertainty_score":0.019151151},"labels":[],"label_agreement":null},{"id":"W2206328996","doi":"","title":"Supporting the design of socio constructivist scenarios with ExploraGraph","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Knowledge management; Sociology; Epistemology; Engineering ethics; Engineering","score_opus":0.03610492980271451,"score_gpt":0.27108641938586203,"score_spread":0.23498148958314752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206328996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063741,0.00008640246,0.90442,0.0010580432,0.000035010904,0.00070906355,0.00038202037,0.001532052,0.028036466],"genre_scores_gemma":[0.4648857,0.00012291245,0.53028756,0.0001355413,0.000010645207,0.0011071968,0.0007497536,0.0002635678,0.0024371133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929253,0.00537411,0.00026435664,0.00040152864,0.0007379067,0.0002969261],"domain_scores_gemma":[0.9892062,0.008121539,0.00040928237,0.0015011572,0.0004324473,0.00032939838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055334377,0.0012785675,0.0005449301,0.0015642822,0.0017561602,0.006720379,0.0020167949,0.0019453613,0.009398728],"category_scores_gemma":[0.014659205,0.00091720297,0.0013383114,0.00076359714,0.002748716,0.0065908832,0.00848124,0.0015933387,0.0010925782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000622907,0.00077289826,0.0077322936,0.00115984,0.00021667022,0.0018993416,0.041645013,0.09487145,0.018535594,0.6956892,0.005475712,0.13137907],"study_design_scores_gemma":[0.00026204347,0.00030508282,0.0014554098,0.00055942783,0.00011404614,0.00062099134,0.015800336,0.4152823,0.017543219,0.43551844,0.11240801,0.00013074034],"about_ca_topic_score_codex":0.00080458296,"about_ca_topic_score_gemma":0.0022950452,"teacher_disagreement_score":0.009398728,"about_ca_system_score_codex":0.0011742763,"about_ca_system_score_gemma":0.0018204404,"threshold_uncertainty_score":0.031441867},"labels":[],"label_agreement":null},{"id":"W2207341472","doi":"10.1016/j.tig.2015.12.002","title":"Visualization: A Mind–Machine Interface for Discovery","year":2015,"lang":"en","type":"article","venue":"Trends in Genetics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Biology; Visualization; Interface (matter); Computational biology; Human–computer interaction; Computer science; Artificial intelligence","score_opus":0.07604337098844816,"score_gpt":0.3617832749679186,"score_spread":0.28573990397947047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207341472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022269024,0.00040306037,0.84701544,0.00077279506,0.0002122112,0.00019588911,0.0053433552,0.13593392,0.007896392],"genre_scores_gemma":[0.06910871,0.0009494736,0.89636314,0.0010255073,0.00019682117,0.0013018947,0.00885683,0.01092514,0.0112725],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99942446,0.00021685266,0.000056548364,0.00010681738,0.00015694762,0.000038396323],"domain_scores_gemma":[0.99683595,0.0023049489,0.00009281727,0.0003548187,0.0002421208,0.00016927406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018921556,0.0017289898,0.0010008729,0.0024742396,0.00075995876,0.003461329,0.0019333205,0.0019230108,0.051907443],"category_scores_gemma":[0.007908216,0.00071072654,0.0013843398,0.0013948891,0.0006116658,0.0035629354,0.0035171323,0.0016476937,0.010771944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011932098,0.00021620655,0.0028782666,0.0021654528,0.0005049675,0.00086613774,0.0018689727,0.0100325225,0.01809877,0.098155364,0.3756456,0.48837465],"study_design_scores_gemma":[0.00036657497,0.00012495104,0.0017372553,0.0004946785,0.00023680602,0.0005820622,0.000281407,0.25106,0.022386016,0.33904004,0.38351172,0.00017847514],"about_ca_topic_score_codex":0.0030280135,"about_ca_topic_score_gemma":0.0036737304,"teacher_disagreement_score":0.051907443,"about_ca_system_score_codex":0.00046497007,"about_ca_system_score_gemma":0.0009498513,"threshold_uncertainty_score":0.1736477},"labels":[],"label_agreement":null},{"id":"W2208023489","doi":"10.22230/src.2015v6n4a216","title":"Mode 2 in Action: Working Across Sectors to Create a Center for Humanities and Technology","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"White paper; Digital humanities; Center (category theory); White (mutation); Mode (computer interface); Discipline; Action (physics); Private sector; Work (physics); Knowledge production; Political science; Humanities; Library science; Sociology; Public relations; Knowledge management; Engineering; Computer science; Social science; Art","score_opus":0.342124365554846,"score_gpt":0.45676259486985377,"score_spread":0.11463822931500778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208023489","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17766029,0.0052736364,0.2933163,0.17191638,0.0036475419,0.0015156551,0.0003328787,0.0020186563,0.34431866],"genre_scores_gemma":[0.87477523,0.0014249973,0.070804976,0.011650027,0.00041033892,0.0010160104,0.00031845545,0.00063852227,0.03896152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.97770643,0.013410336,0.0006210309,0.0022850407,0.0027763008,0.0032009624],"domain_scores_gemma":[0.9588367,0.015954781,0.0030829264,0.0066774418,0.004292024,0.011156072],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.037750084,0.0008117913,0.0006431537,0.004596058,0.012138201,0.025270399,0.003279842,0.0081322715,0.013807293],"category_scores_gemma":[0.025793405,0.0008823578,0.00086694246,0.0043717907,0.014274157,0.031410553,0.032961197,0.0068290206,0.0031021023],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025088678,0.00029509267,0.013217932,0.0007928384,0.000091725204,0.001198129,0.16547512,0.0011638631,0.004332005,0.5439097,0.039191995,0.23008077],"study_design_scores_gemma":[0.00008034005,0.00027696666,0.007567437,0.0011426113,0.000048385155,0.00079505,0.15889233,0.0030370476,0.0028962884,0.27611,0.5490072,0.00014635177],"about_ca_topic_score_codex":0.0063371556,"about_ca_topic_score_gemma":0.0059853294,"teacher_disagreement_score":0.9878618,"about_ca_system_score_codex":0.009961085,"about_ca_system_score_gemma":0.03680853,"threshold_uncertainty_score":0.19964391},"labels":[],"label_agreement":null},{"id":"W220989916","doi":"10.1007/978-3-319-12024-9_16","title":"Extraction and Characterization of Citations in Scientific Papers","year":2014,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Parsing; XML; Information retrieval; Information extraction; Metadata; Natural language processing; Annotation; Automatic summarization; Set (abstract data type); Section (typography); Sentence; Citation; Artificial intelligence; World Wide Web; Programming language","score_opus":0.03500837714932565,"score_gpt":0.28355985773608283,"score_spread":0.2485514805867572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W220989916","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34012473,0.08238948,0.23977941,0.007961308,0.007050224,0.002999571,0.20796818,0.01621821,0.095508896],"genre_scores_gemma":[0.39984733,0.02106678,0.38086596,0.0006954376,0.004391208,0.0010321725,0.16357964,0.0016193892,0.026902126],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955031,0.0004968077,0.0013352596,0.00079620373,0.0016084049,0.0002601576],"domain_scores_gemma":[0.97917366,0.010852488,0.0025501207,0.0013118237,0.0053940513,0.0007178705],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0031810983,0.0010403839,0.0015451595,0.06401944,0.0020282567,0.0065852567,0.0014096313,0.0015760582,0.007444108],"category_scores_gemma":[0.02683621,0.0004391322,0.0018474524,0.045045387,0.0007125292,0.0036596723,0.0017563852,0.0010897601,0.0056565893],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004965599,0.00031365614,0.045512885,0.005609867,0.0007611461,0.0014153218,0.0011237575,0.0016425763,0.020267906,0.0161457,0.08067415,0.8260364],"study_design_scores_gemma":[0.00026148194,0.0004970647,0.18313523,0.003451409,0.0034171508,0.008549537,0.002656581,0.03639117,0.053959828,0.08603155,0.62121046,0.00043847697],"about_ca_topic_score_codex":0.002586071,"about_ca_topic_score_gemma":0.004631659,"teacher_disagreement_score":0.93598056,"about_ca_system_score_codex":0.0011518587,"about_ca_system_score_gemma":0.004046851,"threshold_uncertainty_score":0.024903059},"labels":[],"label_agreement":null},{"id":"W2218340814","doi":"","title":"T-M: An Integrative Systems Perspective: Communication, Information, Semiotics","year":2014,"lang":"en","type":"book","venue":"Scholars' Bank (University of Oregon)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Musculoskeletal Health and Arthritis; Syracuse University","keywords":"Semiotics; Perspective (graphical); Sociology; Communication; Epistemology; Computer science; Philosophy; Artificial intelligence","score_opus":0.008419657551320929,"score_gpt":0.2211467464721733,"score_spread":0.21272708892085238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218340814","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023203231,0.02331331,0.042027626,0.011798849,0.0033949735,0.00005387342,0.00020470102,0.00025868244,0.9166277],"genre_scores_gemma":[0.15591876,0.03843619,0.041839555,0.006966027,0.004888958,0.00039645415,0.00081160426,0.0007577982,0.7499846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99959344,0.0001877325,0.000021728258,0.000042962747,0.00012263963,0.00003156918],"domain_scores_gemma":[0.9995018,0.00031254496,0.00002490544,0.000048921225,0.000072559495,0.00003928787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007654881,0.0006505378,0.00034986195,0.0018583464,0.0016950987,0.0059488267,0.00069760584,0.0011229053,0.011614434],"category_scores_gemma":[0.0010240044,0.00019334145,0.00043381154,0.0028431409,0.0060467795,0.008318563,0.0014406163,0.0025424892,0.0029932105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035522721,0.000004279398,0.000037502035,0.000083774285,0.000001823515,0.000041541658,0.001707254,0.000118089985,0.0000975873,0.93824023,0.04235406,0.0173104],"study_design_scores_gemma":[0.0000019886668,0.0000091194615,0.00016455808,0.00018885487,0.0000026321945,0.00020351511,0.0013495331,0.00045260423,0.00016219296,0.28300315,0.7144565,0.0000053710087],"about_ca_topic_score_codex":0.0022650429,"about_ca_topic_score_gemma":0.0031762316,"teacher_disagreement_score":0.011614434,"about_ca_system_score_codex":0.0031451585,"about_ca_system_score_gemma":0.0025658535,"threshold_uncertainty_score":0.03885418},"labels":[],"label_agreement":null},{"id":"W2218796744","doi":"10.18162/ritpu.2006.121","title":"L’accès aux ressources d’une formation guidé par des ontologies","year":2006,"lang":"fr","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.04892365795098134,"score_gpt":0.26460877161573104,"score_spread":0.2156851136647497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218796744","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040330645,0.0018844265,0.88730735,0.003732555,0.0006734559,0.00035614788,0.0008436145,0.00424452,0.060627177],"genre_scores_gemma":[0.27581117,0.003476374,0.65668887,0.0007068733,0.00024558764,0.0003731364,0.0025934118,0.0021053678,0.05799926],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99102074,0.0036003017,0.00067673926,0.0012623587,0.0030147026,0.00042521174],"domain_scores_gemma":[0.98555994,0.004520304,0.00074498355,0.0051884707,0.003468957,0.00051732507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008781604,0.0011603151,0.00096244866,0.0048582843,0.0036734652,0.008708613,0.0016367659,0.002810113,0.01003234],"category_scores_gemma":[0.024059363,0.00089492596,0.0017055334,0.00493182,0.002992883,0.015107198,0.005768393,0.0029383444,0.0048851203],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005124889,0.00043540742,0.006891995,0.001288993,0.00017433346,0.0018197036,0.027601179,0.005821588,0.03134052,0.40791708,0.020274047,0.4959226],"study_design_scores_gemma":[0.00006035279,0.00017056071,0.004542198,0.00063944573,0.00017026527,0.001472407,0.006568256,0.019382946,0.030957092,0.09038935,0.84545213,0.00019505265],"about_ca_topic_score_codex":0.011063049,"about_ca_topic_score_gemma":0.008894772,"teacher_disagreement_score":0.011063049,"about_ca_system_score_codex":0.0024066337,"about_ca_system_score_gemma":0.0035672502,"threshold_uncertainty_score":0.04644209},"labels":[],"label_agreement":null},{"id":"W2220102208","doi":"10.1093/oxfordhb/9780199368815.013.32","title":"Models and Theories","year":2015,"lang":"en","type":"book","venue":"Oxford University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Idealization; Relation (database); Epistemology; Abstraction; Representation (politics); Isomorphism (crystallography); Computer science; Similarity (geometry); Management science; Data science; Artificial intelligence; Philosophy; Political science; Engineering; Data mining","score_opus":0.03628758602008935,"score_gpt":0.21312296840995554,"score_spread":0.17683538238986618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2220102208","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042320862,0.033785183,0.15443856,0.03804534,0.0015191404,0.0001553595,0.00087313546,0.00051984383,0.76643133],"genre_scores_gemma":[0.54788834,0.050879966,0.14281473,0.01326116,0.0034584797,0.0014983618,0.003188364,0.0008083059,0.23620233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99707246,0.0012751514,0.00018480718,0.00042049147,0.0008363054,0.00021078288],"domain_scores_gemma":[0.99786806,0.0011736421,0.00014177532,0.0004451016,0.00026867408,0.00010265278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002836086,0.0011455918,0.0011212191,0.0029213948,0.0025487924,0.009292946,0.0020499006,0.003737032,0.016306378],"category_scores_gemma":[0.005116294,0.0006204891,0.0012074319,0.0028082137,0.014634175,0.013953361,0.0039568204,0.0048700995,0.004453068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.0225616e-7,0.0000013782933,0.000013110648,0.000016315797,0.0000016320613,0.000007308171,0.000120268836,0.00019011254,0.00000819677,0.9970125,0.0014615918,0.0011668901],"study_design_scores_gemma":[0.000002162857,0.000001434103,0.000016336311,0.000050767707,0.0000017994679,0.000018722316,0.00011010466,0.0004679381,0.000016270264,0.9414367,0.05787524,0.0000024910767],"about_ca_topic_score_codex":0.0050030346,"about_ca_topic_score_gemma":0.0029794131,"teacher_disagreement_score":0.016306378,"about_ca_system_score_codex":0.0066325464,"about_ca_system_score_gemma":0.003166673,"threshold_uncertainty_score":0.05455023},"labels":[],"label_agreement":null},{"id":"W2221053130","doi":"10.22230/src.2015v6n3a111","title":"Playing Well With Others: The Social Edition and Computational Collaboration","year":2015,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Okanagan College; University of Victoria","funders":"","keywords":"Computer science; World Wide Web; Relation (database); Encoding (memory); Value (mathematics); Data science; Artificial intelligence","score_opus":0.10474531098494559,"score_gpt":0.37883515391093703,"score_spread":0.2740898429259914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221053130","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10954573,0.0032506743,0.23107019,0.048128195,0.0015285311,0.000113773625,0.00018987234,0.0006929436,0.60548],"genre_scores_gemma":[0.9300861,0.0011337175,0.03989336,0.0014237508,0.00036493354,0.000104766215,0.000161729,0.0003659828,0.026465693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98825896,0.009038427,0.00036133456,0.0008780221,0.0010227244,0.00044059733],"domain_scores_gemma":[0.979498,0.013853714,0.0009400512,0.0039054048,0.0008621575,0.0009405838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009109599,0.0005369659,0.00039221504,0.002622108,0.007333903,0.015243803,0.0014175746,0.0029114434,0.0085788965],"category_scores_gemma":[0.021056589,0.00046329197,0.0008429567,0.0023672814,0.03304311,0.030783532,0.012161752,0.0027757846,0.0012095527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021165662,0.000018166767,0.0006202224,0.000049266207,0.000009011248,0.00032356268,0.045305207,0.00052292855,0.00016531041,0.9323336,0.0031457793,0.017485803],"study_design_scores_gemma":[0.000017671617,0.000019508258,0.0004739842,0.00019208035,0.000015937747,0.0004976041,0.030342577,0.0028168065,0.00056216365,0.7430742,0.22195388,0.000033705124],"about_ca_topic_score_codex":0.0029363546,"about_ca_topic_score_gemma":0.0030142243,"teacher_disagreement_score":0.015243803,"about_ca_system_score_codex":0.0029893124,"about_ca_system_score_gemma":0.0026883457,"threshold_uncertainty_score":0.048176765},"labels":[],"label_agreement":null},{"id":"W2221784854","doi":"","title":"Special Track on Ontologies and Social Semantic Web for Intelligent Educational Systems","year":2011,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Social Semantic Web; Semantic Web; Computer science; World Wide Web; Semantic Web Stack; Semantic analytics; Track (disk drive); Social web; Semantic technology; Web standards; Knowledge management; Web service; Social media","score_opus":0.19396959717407877,"score_gpt":0.37788896600093097,"score_spread":0.1839193688268522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221784854","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033912114,0.078181274,0.04653851,0.12585928,0.38478512,0.001778418,0.0042057154,0.0028307973,0.35242972],"genre_scores_gemma":[0.011864412,0.07184428,0.013967373,0.010711991,0.15034226,0.00078084785,0.007857944,0.0016500663,0.7309809],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976382,0.00037552693,0.0001906192,0.0003963005,0.0010423175,0.00035699067],"domain_scores_gemma":[0.99147475,0.0018402932,0.00030495503,0.0008236181,0.0033146434,0.0022417908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071676834,0.0015972211,0.0024346632,0.0049621956,0.0032490026,0.011685331,0.0026173573,0.0050019524,0.08825795],"category_scores_gemma":[0.007757012,0.00066591206,0.001906064,0.007326918,0.0013706387,0.012802711,0.005070081,0.006990523,0.03370548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054662294,0.0001163848,0.00023491215,0.00032689614,0.00002668457,0.00006914741,0.00010712059,0.00026358286,0.0005144093,0.0124166105,0.89243,0.09343958],"study_design_scores_gemma":[0.00002303805,0.00007412339,0.0003719247,0.00023147627,0.000023137418,0.00006789954,0.00009459573,0.00071847375,0.00028767437,0.005139734,0.9929502,0.000017848837],"about_ca_topic_score_codex":0.007985894,"about_ca_topic_score_gemma":0.017094009,"teacher_disagreement_score":0.08825795,"about_ca_system_score_codex":0.003490468,"about_ca_system_score_gemma":0.0051622526,"threshold_uncertainty_score":0.29525226},"labels":[],"label_agreement":null},{"id":"W2222040190","doi":"10.1007/s11704-016-5554-y","title":"A survey of RDF data management systems","year":2016,"lang":"en","type":"article","venue":"Frontiers of Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"RDF; Computer science; Linked data; Semantic Web; Cwm; Simple Knowledge Organization System; SPARQL; RDF/XML; Data management; RDF Schema; Information retrieval; Data exchange; ENCODE; Data warehouse; Data science; World Wide Web; Database","score_opus":0.04702441761603892,"score_gpt":0.26409242099145624,"score_spread":0.21706800337541732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222040190","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019167071,0.47167704,0.37300986,0.019369993,0.0018884592,0.0006965258,0.0049084546,0.0047549973,0.10452776],"genre_scores_gemma":[0.07574758,0.59922147,0.2901394,0.0051938323,0.0014501199,0.00046534813,0.0129191745,0.001100227,0.013762868],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948249,0.0010838364,0.0009002285,0.0006801765,0.0022356475,0.00027522058],"domain_scores_gemma":[0.99313015,0.0035732961,0.00035496478,0.001224576,0.0015094925,0.00020760068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008749342,0.00073161005,0.0014305987,0.011192439,0.0016234161,0.006123495,0.0024317433,0.0015103868,0.0050923093],"category_scores_gemma":[0.010088181,0.00086995534,0.0010948401,0.02236707,0.0013226337,0.012974551,0.002620531,0.0016001216,0.001873892],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010783146,0.00016620752,0.0027534664,0.003960691,0.00009692645,0.00015150594,0.0004149678,0.0027808018,0.0021831584,0.15337437,0.05092687,0.7830832],"study_design_scores_gemma":[0.000014317343,0.000049176626,0.0013170964,0.0017726527,0.00008022441,0.00056023244,0.00053590315,0.00824072,0.0033312973,0.04066045,0.94337994,0.000057982033],"about_ca_topic_score_codex":0.004357648,"about_ca_topic_score_gemma":0.0032756997,"teacher_disagreement_score":0.011192439,"about_ca_system_score_codex":0.0023342906,"about_ca_system_score_gemma":0.0042459373,"threshold_uncertainty_score":0.046271443},"labels":[],"label_agreement":null},{"id":"W2222190002","doi":"","title":"Developing a Cocoon Framework for Annotating, Archiving and Retrieval of Multimedia for a Telemedical Education Trust Network","year":2007,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Multimedia; Computer science; World Wide Web; Internet privacy","score_opus":0.04072348094522788,"score_gpt":0.3257409583417701,"score_spread":0.2850174773965422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222190002","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005392594,0.00007338577,0.9849045,0.00012876088,0.000046547597,0.00023947709,0.00023751694,0.007244103,0.0017330738],"genre_scores_gemma":[0.076767154,0.00018428073,0.9156919,0.00010111665,0.000014694318,0.00021652409,0.0014624014,0.0011364045,0.004425436],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895203,0.00025185314,0.00011776311,0.00018119655,0.0003607328,0.00013641689],"domain_scores_gemma":[0.99825627,0.00047890842,0.000119733275,0.00037350462,0.000588995,0.00018261498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028192876,0.000767209,0.00055869826,0.0016469784,0.0011380543,0.0030752805,0.0019780528,0.0011134191,0.004552754],"category_scores_gemma":[0.0044382825,0.00076281856,0.0013383827,0.0012640349,0.0008215855,0.0030839737,0.0027244512,0.0011094159,0.0012481771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009600423,0.00072198175,0.010927904,0.0008572634,0.00036920264,0.0023679307,0.0029443079,0.11848835,0.0487191,0.20358478,0.041439425,0.5686198],"study_design_scores_gemma":[0.00006970283,0.00010776035,0.000776432,0.00013960183,0.00012327445,0.0003906175,0.0006564623,0.8487104,0.029588833,0.021995045,0.09735387,0.00008795866],"about_ca_topic_score_codex":0.0339152,"about_ca_topic_score_gemma":0.045395367,"teacher_disagreement_score":0.0339152,"about_ca_system_score_codex":0.0013904222,"about_ca_system_score_gemma":0.0030719363,"threshold_uncertainty_score":0.06743556},"labels":[],"label_agreement":null},{"id":"W2224335673","doi":"10.6084/m9.figshare.845577.v2","title":"Proposal: Quality in the Open Scholarly Communication of Latin America","year":2013,"lang":"en","type":"article","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Scholarly communication; Latin Americans; Quality (philosophy); Political science; Law; Epistemology; Publishing","score_opus":0.14650206618244496,"score_gpt":0.34877370740329566,"score_spread":0.2022716412208507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2224335673","genre_codex":"commentary","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008196066,0.0023549628,0.008195879,0.6628516,0.12677741,0.0067526787,0.006735474,0.0013069034,0.17682913],"genre_scores_gemma":[0.05135461,0.0018156584,0.0142760435,0.10237777,0.0271486,0.00710134,0.0068109827,0.001004006,0.788111],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9858488,0.0029041085,0.00075001013,0.0014635483,0.0068823164,0.0021511947],"domain_scores_gemma":[0.94690794,0.012865375,0.0014092552,0.0028124556,0.023585891,0.012419063],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.020143583,0.00062147755,0.0007863408,0.0020268192,0.0039109616,0.0081004165,0.0033874097,0.015248943,0.08595386],"category_scores_gemma":[0.055427622,0.00047958514,0.0010183151,0.0015020152,0.0030431165,0.0044608032,0.006842585,0.007971959,0.025575254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001731977,0.00012671716,0.00055982213,0.00027584317,0.000018631785,0.00012051673,0.0004932626,0.00007936907,0.00086107536,0.028527262,0.95424193,0.014522467],"study_design_scores_gemma":[0.00021145635,0.00019427379,0.0042935493,0.000390262,0.000064718326,0.00014110701,0.00116561,0.0003508625,0.0008967375,0.0109127695,0.981311,0.000067641355],"about_ca_topic_score_codex":0.01015106,"about_ca_topic_score_gemma":0.014062926,"teacher_disagreement_score":0.9966126,"about_ca_system_score_codex":0.006258703,"about_ca_system_score_gemma":0.02830076,"threshold_uncertainty_score":0.2875443},"labels":[],"label_agreement":null},{"id":"W2230459429","doi":"","title":"Leverage of OWL-DL axioms in a Contact Centre for Technical Product Support","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of New Brunswick","funders":"","keywords":"Computer science; Web Ontology Language; OWL-S; Ontology; Axiom; Upper ontology; Semantic Web Rule Language; Semantic Web; Leverage (statistics); World Wide Web; Ontology language; Class (philosophy); Information retrieval; Database; Semantic Web Stack; Artificial intelligence; Semantic analytics","score_opus":0.01626515582352805,"score_gpt":0.2649950185652001,"score_spread":0.24872986274167203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230459429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022632029,0.000052047504,0.94699514,0.0005982259,0.00006398333,0.00026069087,0.00084868365,0.014690108,0.013859112],"genre_scores_gemma":[0.22209328,0.00015045574,0.7631566,0.00034337552,0.000041735646,0.00015531776,0.0025243473,0.0012313914,0.010303517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99748,0.000511341,0.00026816007,0.00040232475,0.0012145743,0.00012366242],"domain_scores_gemma":[0.99590355,0.0015633526,0.00022037231,0.0014222508,0.0007251286,0.00016531668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030266964,0.0004155235,0.0003706499,0.0014902565,0.001313702,0.0031848077,0.001716171,0.00096144184,0.005655016],"category_scores_gemma":[0.0068368586,0.00051394425,0.0007146812,0.0013639143,0.0011673967,0.006434718,0.002734339,0.0014026606,0.0022702105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043101673,0.0006380018,0.006134744,0.0005074704,0.00009825226,0.0031638944,0.0032759767,0.01302337,0.031130979,0.54954875,0.038494345,0.3535532],"study_design_scores_gemma":[0.00014257042,0.000116798175,0.0020882667,0.00017409751,0.0001988402,0.0020747595,0.0007957606,0.26820835,0.136127,0.12028462,0.46967733,0.000111574984],"about_ca_topic_score_codex":0.006897179,"about_ca_topic_score_gemma":0.0107176,"teacher_disagreement_score":0.006897179,"about_ca_system_score_codex":0.0012589013,"about_ca_system_score_gemma":0.0028525803,"threshold_uncertainty_score":0.018917918},"labels":[],"label_agreement":null},{"id":"W22332562","doi":"","title":"Ontologies for competence description in multi-agent systems","year":2008,"lang":"en","type":"article","venue":"International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Competence (human resources); Computer science; Ontology; Knowledge management; Artificial intelligence; Psychology; Epistemology","score_opus":0.13788256796590048,"score_gpt":0.3905333472434545,"score_spread":0.252650779277554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W22332562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028304162,0.0019432835,0.9807622,0.0029713514,0.0002670583,0.00046794,0.0014237779,0.0014769607,0.007856931],"genre_scores_gemma":[0.11772856,0.0027633163,0.86679727,0.0010278653,0.00023186032,0.0016106657,0.004017541,0.00032476772,0.0054981555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99172384,0.003605351,0.0016268097,0.0010462154,0.0016081391,0.00038962121],"domain_scores_gemma":[0.9909542,0.005872869,0.0006093234,0.0012747014,0.00093870284,0.00035021896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008291955,0.001499113,0.0018750018,0.0045444765,0.002685729,0.0080483025,0.003809127,0.0039139143,0.0062393076],"category_scores_gemma":[0.018868156,0.0011707954,0.0039431793,0.0043311813,0.0032503929,0.012921258,0.0079603605,0.0041386033,0.0016599084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102559425,0.00011815814,0.0009219272,0.00087491085,0.00021205052,0.00073759875,0.0015223519,0.050802637,0.0008198704,0.8253278,0.011489326,0.107070714],"study_design_scores_gemma":[0.000055876248,0.000028776623,0.00022997259,0.00027976494,0.00008769283,0.00020738225,0.0006159885,0.2332019,0.00067394547,0.7061509,0.05841674,0.00005100956],"about_ca_topic_score_codex":0.02050321,"about_ca_topic_score_gemma":0.017755823,"teacher_disagreement_score":0.02050321,"about_ca_system_score_codex":0.004114911,"about_ca_system_score_gemma":0.0041269776,"threshold_uncertainty_score":0.043852627},"labels":[],"label_agreement":null},{"id":"W22334345","doi":"10.1007/978-3-642-32689-9_22","title":"PSOA2TPTP: A Reference Translator for Interoperating PSOA RuleML with TPTP Reasoners","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of New Brunswick","funders":"","keywords":"Computer science; RuleML; Parsing; Programming language; Semantic reasoner; Artificial intelligence; Natural language processing; Markup language; XML; XHTML; World Wide Web","score_opus":0.031065961621513725,"score_gpt":0.25779070266685533,"score_spread":0.2267247410453416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W22334345","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016188457,0.0001279208,0.8622519,0.00040405506,0.0003715228,0.00026416042,0.0057424,0.11971045,0.009508756],"genre_scores_gemma":[0.032441035,0.00044397492,0.82746625,0.0008073984,0.00019737826,0.00076359697,0.035581477,0.07749534,0.024803603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995449,0.000854492,0.0008750439,0.00083435944,0.0017545565,0.00023244684],"domain_scores_gemma":[0.99004704,0.0034272517,0.00039025082,0.0032617955,0.0026108986,0.0002626974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004977948,0.0019503466,0.0014124358,0.0036987138,0.0010621389,0.0073362743,0.0048305998,0.0034775347,0.035306],"category_scores_gemma":[0.014530238,0.0023529676,0.002847833,0.0028503907,0.0013459411,0.007085997,0.0042230305,0.0049589314,0.031229863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072262564,0.0005652656,0.0012064117,0.0028594206,0.00036565794,0.0022824667,0.0028900628,0.011858216,0.03778252,0.121371605,0.30451253,0.51358324],"study_design_scores_gemma":[0.00023695106,0.00011482248,0.0005676966,0.0005479857,0.00021711856,0.0014574872,0.00035812694,0.10513223,0.06918668,0.052732803,0.7691781,0.00026999332],"about_ca_topic_score_codex":0.002927056,"about_ca_topic_score_gemma":0.0026338,"teacher_disagreement_score":0.035306,"about_ca_system_score_codex":0.0010539985,"about_ca_system_score_gemma":0.0027923551,"threshold_uncertainty_score":0.11811036},"labels":[],"label_agreement":null},{"id":"W2234612416","doi":"10.4230/dagrep.4.8.1","title":"Querying and Reasoning Under Expressive Constraints (Dagstuhl Seminar 14331)","year":2014,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Uniwersytet Opolski; Universität Ulm; Goethe-Universität Frankfurt am Main; Clermont Université; Universidad de Chile; University of Waterloo; Technische Universität Wien; Technische Universität Darmstadt; Libera Università di Bolzano; Universität Bremen; Vienna Science and Technology Fund; University of Oxford; Technische Universität Dresden; Imperial College London; University of Washington; University of Pennsylvania","keywords":"Decidability; Computer science; Knowledge representation and reasoning; Representation (politics); Constraint (computer-aided design); Constraint satisfaction; Constraint satisfaction problem; Programming language; Artificial intelligence; Theoretical computer science; Political science; Mathematics","score_opus":0.011470493594912678,"score_gpt":0.24414770634958488,"score_spread":0.2326772127546722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234612416","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0315787,0.08325944,0.42712685,0.20969056,0.0508897,0.0015895305,0.013418897,0.010645843,0.17180055],"genre_scores_gemma":[0.2600637,0.044885833,0.30043563,0.015661664,0.023115734,0.0024990432,0.03007522,0.0109254215,0.3123377],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98644906,0.0048740897,0.0007947681,0.0015934164,0.004916749,0.0013718617],"domain_scores_gemma":[0.99208426,0.003276009,0.00026365253,0.0008042417,0.0017848174,0.0017870581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02203769,0.002307852,0.0025496352,0.0030220165,0.0021415122,0.009773492,0.0031280736,0.003723574,0.033599675],"category_scores_gemma":[0.02100921,0.0014622763,0.0022958477,0.0038916403,0.0028616742,0.005919562,0.007592553,0.007201379,0.018141665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009091537,0.0005911625,0.00030497374,0.00068207365,0.00012434201,0.0004755733,0.0008996953,0.006489332,0.0039614146,0.1690419,0.6355084,0.18101195],"study_design_scores_gemma":[0.00050024304,0.0001924788,0.0013494944,0.0005318794,0.00006421888,0.00035948458,0.00026236445,0.012153062,0.0071284063,0.16961882,0.8077016,0.00013789607],"about_ca_topic_score_codex":0.007777967,"about_ca_topic_score_gemma":0.0067258435,"teacher_disagreement_score":0.033599675,"about_ca_system_score_codex":0.008341054,"about_ca_system_score_gemma":0.006796086,"threshold_uncertainty_score":0.11654782},"labels":[],"label_agreement":null},{"id":"W2234789362","doi":"10.1007/978-3-319-25007-6_18","title":"Adding DL-Lite TBoxes to Proper Knowledge Bases","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Description logic; Negation; Conjunctive query; Computer science; Logical consequence; Property (philosophy); Ontology; Core (optical fiber); Theoretical computer science; Information retrieval; Programming language; Artificial intelligence; Relational database","score_opus":0.05036751089772788,"score_gpt":0.28884831003494366,"score_spread":0.23848079913721576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234789362","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005411583,0.00061630004,0.97444147,0.000825221,0.0005800529,0.00013745743,0.0012869086,0.0038152135,0.012885678],"genre_scores_gemma":[0.050801244,0.0011089506,0.9297926,0.00072567124,0.00017050382,0.00012145389,0.0030881495,0.0014958844,0.012695606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997781,0.00043216333,0.0004741461,0.00041198262,0.0007251205,0.0001756713],"domain_scores_gemma":[0.996398,0.0010526272,0.00010938395,0.0014221448,0.00085136166,0.0001663647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030859283,0.00061459525,0.0007817511,0.0022639064,0.0009976365,0.00499131,0.0018336112,0.0010492617,0.012156695],"category_scores_gemma":[0.010464326,0.0016499755,0.0022610216,0.002290032,0.001411289,0.011786493,0.0051492923,0.0040622763,0.004766861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015191891,0.00015538874,0.00082995195,0.0010682946,0.00016333094,0.00048950454,0.0014033202,0.0049329554,0.008667995,0.5255839,0.029635653,0.42691776],"study_design_scores_gemma":[0.00007237332,0.000047276422,0.00038817473,0.00061519555,0.00030519324,0.0007072266,0.0005052161,0.0450238,0.023178985,0.5816964,0.34737444,0.00008567049],"about_ca_topic_score_codex":0.003549816,"about_ca_topic_score_gemma":0.0070312014,"teacher_disagreement_score":0.012156695,"about_ca_system_score_codex":0.0012979654,"about_ca_system_score_gemma":0.0017407476,"threshold_uncertainty_score":0.04066819},"labels":[],"label_agreement":null},{"id":"W2237980524","doi":"10.22215/etd/2011-09772","title":"Distributed ontology systems for OWL ontologies with large number of instances","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"","keywords":"Ontology; Computer science; Web Ontology Language; OWL-S; Information retrieval; World Wide Web; Semantic Web; Philosophy; Epistemology","score_opus":0.02494777133734907,"score_gpt":0.28679780011999645,"score_spread":0.2618500287826474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237980524","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068969787,0.00026360524,0.97881615,0.00063157943,0.00017895663,0.00032713223,0.00071411784,0.006107745,0.0060637584],"genre_scores_gemma":[0.12521762,0.00047439532,0.8560472,0.00053373905,0.00014680819,0.0006915863,0.0050487225,0.0012009221,0.010638956],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99506605,0.0012443502,0.00072967075,0.0010308508,0.0016522303,0.0002767968],"domain_scores_gemma":[0.9908828,0.0031083312,0.0005680317,0.0039507127,0.0010833648,0.0004067053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063311807,0.00057943165,0.001119037,0.0021544695,0.0028263652,0.006918631,0.003750158,0.001831342,0.0057715634],"category_scores_gemma":[0.01886661,0.0010705924,0.0016303856,0.0034516582,0.0014389744,0.013543458,0.007617475,0.0028980896,0.002796191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048515853,0.0005822507,0.0027228023,0.0007170711,0.00044296862,0.0011680819,0.0026012252,0.04314258,0.016030552,0.5171142,0.042938955,0.37205407],"study_design_scores_gemma":[0.00029852358,0.00007639445,0.00091895147,0.00020013256,0.00015955456,0.00035461542,0.00081595813,0.38053557,0.01042454,0.4281391,0.17799434,0.00008230847],"about_ca_topic_score_codex":0.007815963,"about_ca_topic_score_gemma":0.014973514,"teacher_disagreement_score":0.007815963,"about_ca_system_score_codex":0.0030703098,"about_ca_system_score_gemma":0.003782957,"threshold_uncertainty_score":0.03348285},"labels":[],"label_agreement":null},{"id":"W2240090265","doi":"","title":"Derive: finding semantic concepts with property-values from natural language text","year":2014,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Property (philosophy); Computer science; Natural language; Natural language processing; Property value; Information retrieval; Artificial intelligence; Matching (statistics); Semantic compression; Semantic computing; Semantic matching; Value (mathematics); Natural (archaeology); Semantic technology; Semantic Web; Mathematics; Machine learning","score_opus":0.0070147636511661,"score_gpt":0.2232628817727366,"score_spread":0.2162481181215705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240090265","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069834827,0.00062159076,0.9673381,0.000883815,0.00008261085,0.0007918014,0.0071446984,0.01190283,0.004250975],"genre_scores_gemma":[0.07531738,0.00082889985,0.9028667,0.00037810014,0.000091103844,0.0005034232,0.015601639,0.001160687,0.0032519675],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99686253,0.0007267681,0.0003231168,0.00081862765,0.0011292413,0.00013970338],"domain_scores_gemma":[0.9946437,0.002897877,0.00052681356,0.0012002406,0.0005888997,0.00014241389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039982134,0.0017932799,0.0014003216,0.008527644,0.0015184727,0.004422229,0.0025517957,0.0017909007,0.008518396],"category_scores_gemma":[0.018239554,0.0010718069,0.0028133083,0.004717561,0.002612357,0.011871442,0.0043657133,0.0018871551,0.005054547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046130185,0.00052921765,0.009704134,0.004656776,0.0005733105,0.0019428685,0.0038630848,0.009369387,0.021169055,0.27237415,0.06487193,0.6104847],"study_design_scores_gemma":[0.00015425231,0.00023512797,0.006653432,0.00078253285,0.00039631277,0.0040186257,0.002650063,0.13507152,0.049151413,0.48936072,0.31126803,0.00025778287],"about_ca_topic_score_codex":0.0035525495,"about_ca_topic_score_gemma":0.0069232066,"teacher_disagreement_score":0.008527644,"about_ca_system_score_codex":0.0013747587,"about_ca_system_score_gemma":0.0031168628,"threshold_uncertainty_score":0.028496861},"labels":[],"label_agreement":null},{"id":"W2241491522","doi":"10.1109/ictai.2015.88","title":"On the Assessment of Concept Relevance in FCA-Based Ontology Restructuring","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ontology; Computer science; Relevance (law); Restructuring; Context (archaeology); Process (computing); Set (abstract data type); Quality (philosophy); Formal concept analysis; Information retrieval; Process ontology; Data mining; Semantic Web; Algorithm; Programming language","score_opus":0.05512943753898645,"score_gpt":0.31174240710137563,"score_spread":0.25661296956238916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241491522","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105457805,0.0010854413,0.8852946,0.00050869,0.00005779689,0.0006488721,0.00018720284,0.0015237012,0.0052359025],"genre_scores_gemma":[0.4710565,0.0002249134,0.5268276,0.00014958164,0.000047468602,0.00022583912,0.0003550765,0.00015251646,0.00096059515],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98501736,0.0048396424,0.0011094275,0.0018933876,0.0065961215,0.00054406014],"domain_scores_gemma":[0.9465862,0.038128212,0.002974011,0.003723123,0.0076916693,0.0008968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017915424,0.0009928175,0.001696701,0.009899643,0.0023475976,0.0035994449,0.0025698533,0.0023084197,0.0012862883],"category_scores_gemma":[0.08045351,0.00045015634,0.0011603897,0.0045751473,0.0024163025,0.00358971,0.002291788,0.0018621508,0.0005420173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007469087,0.00067204126,0.022506572,0.00045775896,0.00027855297,0.0006063717,0.002282685,0.109047525,0.02016333,0.02927738,0.0035942646,0.8103665],"study_design_scores_gemma":[0.00004248232,0.0001854741,0.009001329,0.00013224238,0.00014250007,0.0004115335,0.00040392063,0.9365326,0.01862869,0.03115594,0.0032841414,0.000079127916],"about_ca_topic_score_codex":0.014461989,"about_ca_topic_score_gemma":0.013792835,"teacher_disagreement_score":0.017915424,"about_ca_system_score_codex":0.0026175368,"about_ca_system_score_gemma":0.0029420839,"threshold_uncertainty_score":0.09474695},"labels":[],"label_agreement":null},{"id":"W2243045642","doi":"","title":"Why Trees Don't Talk","year":2005,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Mathematics; Combinatorics","score_opus":0.02214633042956078,"score_gpt":0.24593421074984106,"score_spread":0.2237878803202803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243045642","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03613122,0.010392374,0.08629285,0.32235625,0.0035843556,0.00010812421,0.001821391,0.0016417867,0.5376716],"genre_scores_gemma":[0.7831235,0.0073634875,0.026763918,0.043813877,0.0008897165,0.00018707558,0.0009600099,0.0030905148,0.13380796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9933216,0.0023302175,0.00015627884,0.00083852233,0.002100762,0.0012525214],"domain_scores_gemma":[0.9785164,0.011178908,0.00063976966,0.0020959424,0.0063359677,0.0012329379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077034584,0.0005143515,0.00074314215,0.002725181,0.012410102,0.009672719,0.0018615138,0.005248333,0.024737636],"category_scores_gemma":[0.032391734,0.0008665481,0.00068627024,0.00450002,0.020243565,0.020120485,0.00299294,0.006598887,0.005538221],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044401295,0.000011980526,0.001287565,0.000102606944,0.000020673466,0.00014486744,0.015564948,0.0003933178,0.00024525065,0.8916876,0.06863629,0.021860475],"study_design_scores_gemma":[0.000027796053,0.000006019832,0.0010145712,0.00019224474,0.000032736207,0.00018979512,0.013371238,0.00078712124,0.00042218223,0.57517546,0.40872702,0.000053773532],"about_ca_topic_score_codex":0.6046233,"about_ca_topic_score_gemma":0.5928167,"teacher_disagreement_score":0.6046233,"about_ca_system_score_codex":0.019726679,"about_ca_system_score_gemma":0.018317437,"threshold_uncertainty_score":0.7954103},"labels":[],"label_agreement":null},{"id":"W2245305637","doi":"10.22230/src.2014v5n4a182","title":"Inference and Linking on the Humanist’s Semantic Web","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Semantic Web; Computer science; Social Semantic Web; Semantic Web Stack; Semantic analytics; World Wide Web; Metadata; Linked data; Inference; sort; Semantic computing; Semantic grid; Information retrieval; Data Web; Data science; Web service; Artificial intelligence","score_opus":0.11798616074796778,"score_gpt":0.36828969884353213,"score_spread":0.2503035380955644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245305637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01835044,0.0021760822,0.8904469,0.022678066,0.0003484601,0.00009892574,0.00040395375,0.000656589,0.06484059],"genre_scores_gemma":[0.48891032,0.004536331,0.48667583,0.0036943618,0.00079835387,0.00030735432,0.0012313769,0.00047659117,0.013369393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98417836,0.010136261,0.000701811,0.0016752422,0.002906211,0.00040204375],"domain_scores_gemma":[0.979932,0.014478372,0.0005521832,0.0036992102,0.0010148995,0.0003232568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01671793,0.0006002917,0.0009632321,0.0073203077,0.0044911234,0.010177576,0.0023883486,0.0034383342,0.0055271205],"category_scores_gemma":[0.033338286,0.0009207539,0.0018252904,0.004756439,0.01996706,0.029718254,0.008709322,0.0043813796,0.00098038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010891103,0.000013284393,0.00019348458,0.00003949719,0.00002059125,0.00008721116,0.0016743635,0.0020773364,0.000089578585,0.9839627,0.0011365182,0.010694481],"study_design_scores_gemma":[0.00000436763,0.0000021403785,0.00005427613,0.000035215235,0.000007056782,0.00003811115,0.00028370015,0.0033778716,0.00023933983,0.9830305,0.012919915,0.000007576225],"about_ca_topic_score_codex":0.0063480856,"about_ca_topic_score_gemma":0.004540059,"teacher_disagreement_score":0.01671793,"about_ca_system_score_codex":0.0031016439,"about_ca_system_score_gemma":0.0030045274,"threshold_uncertainty_score":0.088413894},"labels":[],"label_agreement":null},{"id":"W2248302245","doi":"10.3233/978-1-60750-544-0-25","title":"Extracting and Merging Contextualized Ontology Modules","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ontology; Computer science; Information retrieval; Natural language processing; Epistemology; Philosophy","score_opus":0.04565233499524879,"score_gpt":0.2876668819528467,"score_spread":0.2420145469575979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248302245","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021529134,0.00081089744,0.9624528,0.00037687906,0.000086805354,0.0003682649,0.0014594573,0.0020547227,0.010861038],"genre_scores_gemma":[0.059622925,0.0010626097,0.92894816,0.00016876285,0.000028154594,0.0002571947,0.005129568,0.00049595203,0.0042866524],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986299,0.00028878124,0.00016026995,0.00033333342,0.00050143094,0.000086340006],"domain_scores_gemma":[0.99842215,0.0007047991,0.00010194714,0.00032102823,0.00040184293,0.000048263955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017453773,0.0009160278,0.0007039456,0.0039268015,0.0008093787,0.0020185565,0.0011627914,0.0006560639,0.0028183134],"category_scores_gemma":[0.00544735,0.0005362876,0.0016829267,0.0041824942,0.0007072685,0.0033201678,0.0026265113,0.00097381795,0.0010391729],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013264931,0.0001928599,0.0053561595,0.0016055076,0.00028025516,0.0018072772,0.004144536,0.020745756,0.04245279,0.098889396,0.015041088,0.80935174],"study_design_scores_gemma":[0.000040214738,0.000107477856,0.009644338,0.0011670366,0.00066565606,0.0022018487,0.0030388178,0.1469669,0.096258014,0.16589856,0.5738104,0.00020075755],"about_ca_topic_score_codex":0.0043655415,"about_ca_topic_score_gemma":0.007530302,"teacher_disagreement_score":0.0043655415,"about_ca_system_score_codex":0.0011048391,"about_ca_system_score_gemma":0.0022460287,"threshold_uncertainty_score":0.009428203},"labels":[],"label_agreement":null},{"id":"W2248550045","doi":"10.29173/cais157","title":"Integrating Access Methods to Text Data Files","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Information retrieval; Task (project management); Data access; Data retrieval; Access method; Information access; Database; Public access; World Wide Web","score_opus":0.0719764111828368,"score_gpt":0.34098928828797453,"score_spread":0.2690128771051377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248550045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009206555,0.0008328521,0.8710285,0.00068086677,0.00022290478,0.000640477,0.0048709153,0.101466,0.011051],"genre_scores_gemma":[0.097485274,0.0012480482,0.8398437,0.00066193636,0.00023506509,0.0006498983,0.017035505,0.010970697,0.03186988],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99534035,0.0007601535,0.0007729766,0.00093308784,0.0019698031,0.0002236058],"domain_scores_gemma":[0.9828142,0.008324871,0.0007150888,0.004370783,0.0031347026,0.000640406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055409293,0.0011800202,0.0013287694,0.007611302,0.0013951409,0.006776032,0.0028486024,0.0012784706,0.020746369],"category_scores_gemma":[0.021755736,0.00085333386,0.0013709259,0.0077271904,0.0014378998,0.010727286,0.0050151385,0.0014023267,0.008637075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016553461,0.00044963963,0.0036186425,0.0014666393,0.00021951711,0.0007938916,0.0018879368,0.002027337,0.027851308,0.036973108,0.07438254,0.8486741],"study_design_scores_gemma":[0.0006834531,0.000439941,0.0035568695,0.0006680467,0.00025226394,0.0016683458,0.0009693098,0.062141642,0.10638648,0.081451215,0.7413111,0.00047132882],"about_ca_topic_score_codex":0.0043071806,"about_ca_topic_score_gemma":0.004653928,"teacher_disagreement_score":0.020746369,"about_ca_system_score_codex":0.0012919577,"about_ca_system_score_gemma":0.0016783312,"threshold_uncertainty_score":0.06940353},"labels":[],"label_agreement":null},{"id":"W2248728687","doi":"","title":"The CULTURA Portal: Exploring Cultural Treasures","year":2013,"lang":"en","type":"article","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Workflow; Key (lock); Architecture; World Wide Web; Computer science; Engineering; Art; Visual arts; Computer security; Database","score_opus":0.04420174107410427,"score_gpt":0.25157641602533176,"score_spread":0.2073746749512275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248728687","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10723584,0.007297963,0.14098512,0.00862402,0.001046339,0.00055475545,0.019088589,0.03711337,0.678054],"genre_scores_gemma":[0.5764505,0.010348053,0.21599026,0.0017278116,0.000692965,0.00067732285,0.03394866,0.009530387,0.15063412],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942976,0.00019767034,0.000020869298,0.00006506166,0.00021352887,0.00007317711],"domain_scores_gemma":[0.99932826,0.0002542046,0.000026731332,0.0001164714,0.000064919695,0.00020949062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087495614,0.00046563763,0.00045885736,0.0019379521,0.0027762505,0.0058762506,0.0008618458,0.0011377584,0.026467532],"category_scores_gemma":[0.002143851,0.0003195434,0.00049754296,0.0034924105,0.0009871366,0.0068553025,0.0065629403,0.0016689539,0.0057035163],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006029083,0.00023068514,0.0066496143,0.0014263336,0.00006515764,0.002892208,0.028113576,0.0026036017,0.005648397,0.17871708,0.36742845,0.40562198],"study_design_scores_gemma":[0.00002651591,0.000018905337,0.0023616173,0.00018897037,0.00001131667,0.00045710796,0.0071330923,0.0018617271,0.00081697,0.031325545,0.95575583,0.00004220091],"about_ca_topic_score_codex":0.0055351937,"about_ca_topic_score_gemma":0.015052219,"teacher_disagreement_score":0.026467532,"about_ca_system_score_codex":0.0009225545,"about_ca_system_score_gemma":0.0013616703,"threshold_uncertainty_score":0.0885427},"labels":[],"label_agreement":null},{"id":"W2249705525","doi":"10.1007/s40593-015-0077-5","title":"Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives","year":2015,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"Japan Society for the Promotion of Science","keywords":"Ontology; Ontology engineering; Work (physics); Computer science; Management science; Data science; Engineering ethics; Process ontology; Artificial intelligence; Engineering; Epistemology; Domain knowledge; Philosophy; Mechanical engineering","score_opus":0.08879359279688523,"score_gpt":0.39294477426319,"score_spread":0.3041511814663048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2249705525","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03616019,0.02350584,0.76118785,0.049342055,0.0019241123,0.00021563025,0.00014625756,0.0006522053,0.12686592],"genre_scores_gemma":[0.43795818,0.024300577,0.51065993,0.0049171913,0.0010561373,0.00013724738,0.00037764132,0.00023830037,0.020354776],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99543154,0.0022352405,0.00029967516,0.00028150398,0.0015119276,0.00024022875],"domain_scores_gemma":[0.98790526,0.0065792603,0.00046832184,0.0021964323,0.0025675325,0.00028314494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072871596,0.00067654817,0.00056493044,0.002224303,0.001097677,0.0065306625,0.0023969314,0.0018858128,0.0040238653],"category_scores_gemma":[0.012684659,0.0003062145,0.00077398284,0.0023655398,0.0029189624,0.0116629,0.0041379845,0.0024285954,0.00086024223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007002066,0.00052221713,0.00376055,0.0012011579,0.00017653192,0.00040246354,0.0018865193,0.00448988,0.0033664487,0.54536426,0.0073460503,0.4314138],"study_design_scores_gemma":[0.00003919317,0.000105192,0.0019154183,0.0011309972,0.00022088618,0.0013189026,0.006792011,0.07051844,0.011811666,0.59746736,0.30858627,0.00009361959],"about_ca_topic_score_codex":0.0026347798,"about_ca_topic_score_gemma":0.0026821743,"teacher_disagreement_score":0.0072871596,"about_ca_system_score_codex":0.001196917,"about_ca_system_score_gemma":0.003098975,"threshold_uncertainty_score":0.038538635},"labels":[],"label_agreement":null},{"id":"W2252261806","doi":"10.3233/978-1-60750-535-8-158","title":"A Categorization of KR&amp;amp;R Methods for Requirement Analysis of a Query Answering Knowledge Base","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Categorization; Base (topology); Knowledge base; Information retrieval; Computer science; Mathematics; Artificial intelligence","score_opus":0.1115803943866869,"score_gpt":0.38321815459105124,"score_spread":0.27163776020436436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252261806","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021531053,0.004718757,0.97404647,0.0033240027,0.00009062241,0.00070563244,0.00034067596,0.0009923604,0.013628332],"genre_scores_gemma":[0.022330798,0.0035831674,0.96741897,0.0008936327,0.0001512121,0.0014093019,0.00093752344,0.0005351837,0.0027402071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9573048,0.018867694,0.0063686124,0.004111612,0.012463217,0.00088412594],"domain_scores_gemma":[0.9059431,0.063526265,0.004069375,0.015131968,0.0104444185,0.0008849619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032115556,0.002221326,0.0020613698,0.01867263,0.002624687,0.011761199,0.0069760694,0.0036669527,0.0054841465],"category_scores_gemma":[0.0571147,0.0016564006,0.0047916137,0.018361794,0.009066803,0.016620059,0.0049824542,0.006717381,0.0038596345],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095916956,0.00020489036,0.0012564325,0.0033374724,0.000118994256,0.00036817256,0.005523013,0.0038048923,0.004862426,0.6296109,0.015260576,0.33555627],"study_design_scores_gemma":[0.00012396538,0.00016992817,0.0026283609,0.0028530806,0.00016907192,0.0022463754,0.0038651708,0.057777464,0.008185267,0.5763437,0.34528953,0.000348058],"about_ca_topic_score_codex":0.0049023875,"about_ca_topic_score_gemma":0.0030851348,"teacher_disagreement_score":0.032115556,"about_ca_system_score_codex":0.0061108177,"about_ca_system_score_gemma":0.0060866512,"threshold_uncertainty_score":0.16984534},"labels":[],"label_agreement":null},{"id":"W2257834709","doi":"","title":"Learning Artifact Capabilities Via a Hybrid Ontology","year":2012,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Artifact (error); Ontology; Computer science; Exploit; Process (computing); Process ontology; Artificial intelligence; Domain (mathematical analysis); Ontology-based data integration; Human–computer interaction; Domain knowledge; Programming language","score_opus":0.06483011020781577,"score_gpt":0.3547296293522519,"score_spread":0.2898995191444361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257834709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03860846,0.00012490746,0.9393474,0.0009730592,0.000019792731,0.00011121574,0.00013777927,0.00035828713,0.020319095],"genre_scores_gemma":[0.3210784,0.0003264232,0.6728305,0.00015948426,0.0000157207,0.00018256213,0.00030976904,0.00006243725,0.005034725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998801,0.00040696835,0.00011294196,0.00019952549,0.00039913034,0.00008042369],"domain_scores_gemma":[0.9984823,0.00047640412,0.00013314407,0.0005718403,0.00019720629,0.0001390813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016782042,0.00031356353,0.00031639438,0.001365939,0.00081958604,0.002629651,0.0009562096,0.00066176144,0.0017459458],"category_scores_gemma":[0.002110449,0.00030179028,0.0010173304,0.0011525424,0.0022525534,0.0072414316,0.003628373,0.0012364638,0.00029387223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004712283,0.0001657544,0.0037183887,0.00011224471,0.000071750204,0.00046853966,0.0029357339,0.023126384,0.0073204474,0.8395189,0.0019246396,0.120590106],"study_design_scores_gemma":[0.00006412231,0.0001187952,0.002742191,0.00019935265,0.00015455401,0.0008083017,0.002665608,0.25833267,0.008470347,0.60648805,0.1198752,0.00008079148],"about_ca_topic_score_codex":0.0047550374,"about_ca_topic_score_gemma":0.008260191,"teacher_disagreement_score":0.0047550374,"about_ca_system_score_codex":0.0011414086,"about_ca_system_score_gemma":0.002325759,"threshold_uncertainty_score":0.009454727},"labels":[],"label_agreement":null},{"id":"W2257850944","doi":"","title":"Inside Theory-Aware and Standards-Compliant Authoring System","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Computer science; Human–computer interaction","score_opus":0.020335721821396632,"score_gpt":0.2542984373165299,"score_spread":0.23396271549513326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257850944","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005937722,0.00015424458,0.88781583,0.00047709318,0.00036797498,0.0003462607,0.0007994522,0.075329535,0.02877185],"genre_scores_gemma":[0.16215584,0.00050871837,0.76270634,0.0008187042,0.0003247654,0.00059522985,0.0077701826,0.009547936,0.055572264],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99604213,0.0009578956,0.00052466476,0.00090453675,0.0013433391,0.00022739737],"domain_scores_gemma":[0.99008054,0.0014605134,0.00034257304,0.006031583,0.0016502363,0.00043441233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005634367,0.00069635536,0.000850133,0.0019737263,0.0013037627,0.005418932,0.0025529831,0.0025149803,0.012331482],"category_scores_gemma":[0.008800296,0.0008760377,0.0011210878,0.0013927328,0.0011332952,0.0074300636,0.002980748,0.0027137205,0.0111069195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061011483,0.000775809,0.0028036886,0.0005317584,0.00020597552,0.00088716636,0.0026660669,0.013754691,0.04268456,0.3365374,0.1120668,0.4864759],"study_design_scores_gemma":[0.0001412368,0.00019365098,0.00089197437,0.0001860413,0.00013297117,0.0009967295,0.0002983829,0.15495577,0.07399098,0.1536704,0.61436814,0.0001736767],"about_ca_topic_score_codex":0.00086326274,"about_ca_topic_score_gemma":0.00092426187,"teacher_disagreement_score":0.012331482,"about_ca_system_score_codex":0.0010269177,"about_ca_system_score_gemma":0.0020509826,"threshold_uncertainty_score":0.04125291},"labels":[],"label_agreement":null},{"id":"W2262225751","doi":"10.82308/30708","title":"Ontologies of Cree hydrography: formalization and realization","year":2008,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Ontology; Computer science; World Wide Web; Metadata; Linked data; Semantic Web; Information retrieval; Data science","score_opus":0.025839344849133198,"score_gpt":0.22400839429075095,"score_spread":0.19816904944161776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262225751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012935594,0.0014906904,0.9404014,0.0035847286,0.00011607987,0.00030087557,0.0004634705,0.0004740159,0.04023321],"genre_scores_gemma":[0.33157524,0.0022474756,0.646533,0.00054019043,0.00015587483,0.0006634579,0.001240946,0.00022306011,0.016820682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980514,0.0006550116,0.00020112928,0.000308249,0.0005774506,0.00020684973],"domain_scores_gemma":[0.99753356,0.00093953835,0.00024944195,0.00042610706,0.0007125335,0.00013878586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039080703,0.00048658505,0.00047265977,0.0025212779,0.0024182138,0.006183439,0.0019066209,0.0017047258,0.0031375682],"category_scores_gemma":[0.0065137516,0.0009518965,0.0012661344,0.0021364416,0.010863728,0.007960865,0.0031706158,0.0030316159,0.000714657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040394307,0.0000113385695,0.00019867755,0.000035630706,0.000007670267,0.00013303352,0.0022637523,0.0018392656,0.0002948248,0.9862671,0.0009815308,0.007963098],"study_design_scores_gemma":[0.000013066951,0.000009746643,0.0004947479,0.00017089494,0.000016268505,0.00022521119,0.0013387054,0.022217201,0.00095001014,0.8777244,0.0968013,0.00003854644],"about_ca_topic_score_codex":0.07412993,"about_ca_topic_score_gemma":0.05505995,"teacher_disagreement_score":0.92587006,"about_ca_system_score_codex":0.005690389,"about_ca_system_score_gemma":0.0062584328,"threshold_uncertainty_score":0.14739692},"labels":[],"label_agreement":null},{"id":"W2262233962","doi":"","title":"Yet Another Matcher","year":2009,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Schema matching; Computer science; Schema (genetic algorithms); Matching (statistics); Precision and recall; Artificial intelligence; Data mining; Machine learning; Data integration; Mathematics","score_opus":0.013491390474457859,"score_gpt":0.22178629346743167,"score_spread":0.20829490299297382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262233962","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012022506,0.0006086891,0.94803554,0.0008519589,0.00039185886,0.00044684476,0.0015951472,0.028456874,0.007590527],"genre_scores_gemma":[0.07612984,0.00034704607,0.90478104,0.0012545052,0.0001182048,0.0003081383,0.00390815,0.0041146395,0.009038409],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9889043,0.0020261419,0.0016025694,0.0041128276,0.0028087345,0.0005454904],"domain_scores_gemma":[0.9851547,0.004306589,0.0007895853,0.0074814064,0.0018793058,0.0003885217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011592241,0.0016508695,0.0019794595,0.0039172694,0.0016529307,0.004887469,0.0031208494,0.0036088014,0.020751296],"category_scores_gemma":[0.026290838,0.0013817501,0.003103117,0.0033468048,0.0013224083,0.009407198,0.0059787994,0.0025054882,0.011335468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012551089,0.00046670705,0.009416491,0.0013337891,0.00086669397,0.00090227294,0.0017226064,0.0080014,0.046198253,0.08885244,0.060173567,0.78081065],"study_design_scores_gemma":[0.0002818391,0.00068696326,0.004454129,0.00042564914,0.0007707834,0.0038761694,0.0012221942,0.1427535,0.16204861,0.12586749,0.55732006,0.0002926557],"about_ca_topic_score_codex":0.00083459704,"about_ca_topic_score_gemma":0.00064439705,"teacher_disagreement_score":0.020751296,"about_ca_system_score_codex":0.0010698834,"about_ca_system_score_gemma":0.0015291345,"threshold_uncertainty_score":0.06941998},"labels":[],"label_agreement":null},{"id":"W2263249576","doi":"","title":"A Framework for the Capitalization of e-Learning Resources","year":2007,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Capitalization; Business; Computer science; Linguistics; Philosophy","score_opus":0.014295965535513766,"score_gpt":0.25487227408455,"score_spread":0.24057630854903622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263249576","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027876277,0.000386455,0.98707736,0.0008233558,0.00007177189,0.00013859589,0.0004927261,0.001336608,0.0068855686],"genre_scores_gemma":[0.096555404,0.0006040323,0.8950494,0.00017766972,0.000083329236,0.00024001212,0.0010456155,0.0002834633,0.005961051],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99569184,0.0012626391,0.000595652,0.00087053695,0.0012253918,0.00035399938],"domain_scores_gemma":[0.99441445,0.0020367457,0.0004004021,0.0018110096,0.00096098747,0.0003762644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052833008,0.00083749404,0.0012118252,0.0055990713,0.0022622515,0.009069918,0.003576338,0.0020264739,0.0066547664],"category_scores_gemma":[0.011848503,0.0011081711,0.0023944164,0.0072256075,0.003132716,0.016074818,0.0048607723,0.0028048041,0.0018593982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027529706,0.000045793906,0.00039684295,0.00008539231,0.000041895044,0.00012765008,0.0003053278,0.0074343826,0.0005753777,0.94400525,0.0036260323,0.043328565],"study_design_scores_gemma":[0.00002298593,0.000021271815,0.00040271014,0.00010801668,0.00007767584,0.00018193004,0.00022479528,0.12350476,0.0030459312,0.79716283,0.075202376,0.000044699376],"about_ca_topic_score_codex":0.02295048,"about_ca_topic_score_gemma":0.031174047,"teacher_disagreement_score":0.02295048,"about_ca_system_score_codex":0.003933507,"about_ca_system_score_gemma":0.0049261115,"threshold_uncertainty_score":0.045633793},"labels":[],"label_agreement":null},{"id":"W2263331216","doi":"","title":"General Poncelet meets the Semantic Web: a concrete example of the usage of ontologies to support creation and dissemination of eLearning contents","year":2007,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"World Wide Web; Semantic Web; Computer science; Knowledge management; Social Semantic Web; Semantic Web Stack","score_opus":0.06611409923571236,"score_gpt":0.3146636114427253,"score_spread":0.24854951220701293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263331216","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024845766,0.00079526275,0.76296073,0.0059600985,0.00027763977,0.00027367784,0.00043522357,0.0032235892,0.20122802],"genre_scores_gemma":[0.33978072,0.0020197737,0.5510642,0.0020644143,0.00015703311,0.0003089244,0.0012338272,0.0021860215,0.10118519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817634,0.0005337614,0.00011625385,0.00028688,0.0006912361,0.00019555123],"domain_scores_gemma":[0.9991516,0.00032038466,0.00004111669,0.00027270938,0.00015477432,0.000059442264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018086702,0.00055502105,0.00046356194,0.0020838014,0.0028915354,0.0060503804,0.0011186209,0.003913961,0.006367392],"category_scores_gemma":[0.003103151,0.0005319445,0.0009150543,0.0045186444,0.004357857,0.015462101,0.004197276,0.0026159037,0.0020388928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037130998,0.000029671135,0.00039724537,0.0000910466,0.000011911662,0.00080362754,0.0016741409,0.00095381035,0.0019722825,0.9573889,0.0058649965,0.030775249],"study_design_scores_gemma":[0.000025027275,0.00003035842,0.0004724409,0.000100968486,0.00002399541,0.0018029782,0.00065788283,0.012154144,0.0061078835,0.42535096,0.5532312,0.000042179978],"about_ca_topic_score_codex":0.008475568,"about_ca_topic_score_gemma":0.009030925,"teacher_disagreement_score":0.008475568,"about_ca_system_score_codex":0.0015509112,"about_ca_system_score_gemma":0.0021959643,"threshold_uncertainty_score":0.021301031},"labels":[],"label_agreement":null},{"id":"W2265987173","doi":"","title":"Building OER for a mobile and connected world","year":2011,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science","score_opus":0.054876080301166405,"score_gpt":0.28188833777615446,"score_spread":0.22701225747498804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265987173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044784725,0.0002975926,0.90748173,0.00048303476,0.00009961432,0.00045346605,0.00045887812,0.008153011,0.03778789],"genre_scores_gemma":[0.19509383,0.00055107014,0.7774375,0.00018654893,0.00001793465,0.00017870907,0.0019307667,0.0013135932,0.023290059],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924326,0.00014341479,0.000055735825,0.00016401334,0.00027109942,0.00012242259],"domain_scores_gemma":[0.9993073,0.00011365155,0.000033885895,0.00031899972,0.00014768915,0.00007849652],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.00086412684,0.00077245024,0.0005181081,0.0009107661,0.00095355406,0.0020659233,0.0011034859,0.0014782083,0.008593591],"category_scores_gemma":[0.0019653814,0.0005586056,0.0011596014,0.00070934143,0.0007213734,0.004255153,0.0038505814,0.0011183833,0.005410286],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017801023,0.00075524877,0.0063072504,0.0010109704,0.00017747798,0.0035965506,0.0029995488,0.09184854,0.09022,0.15271476,0.019499812,0.63069177],"study_design_scores_gemma":[0.00006563665,0.0003533516,0.00432045,0.00037672205,0.0002846738,0.0018505236,0.0046369373,0.41754788,0.0781662,0.05498077,0.437264,0.00015290244],"about_ca_topic_score_codex":0.005648445,"about_ca_topic_score_gemma":0.010078972,"teacher_disagreement_score":0.99889654,"about_ca_system_score_codex":0.0005583099,"about_ca_system_score_gemma":0.0013819108,"threshold_uncertainty_score":0.028748393},"labels":[],"label_agreement":null},{"id":"W2266270365","doi":"","title":"Linking Knowledge Management and LIS: Innovative Use of a Community of Practice","year":2003,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Knowledge management; Community of practice; Business; Data science; Computer science; Sociology; Pedagogy","score_opus":0.1277040050804702,"score_gpt":0.33131225151250154,"score_spread":0.20360824643203135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266270365","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042383406,0.00037356248,0.89335203,0.0053417124,0.000305664,0.00064987555,0.00019498999,0.0033637106,0.054035086],"genre_scores_gemma":[0.30738366,0.00030610416,0.6815787,0.00047646128,0.00012510398,0.00072081346,0.00043674643,0.00059056235,0.008381977],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9871451,0.008814704,0.0006503421,0.0014091808,0.0016977165,0.00028288338],"domain_scores_gemma":[0.9614032,0.02375495,0.001486976,0.007989824,0.0033272256,0.0020378956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013522241,0.0006576712,0.0007312908,0.0075565865,0.0043820287,0.011550759,0.0027986413,0.0037625225,0.012218464],"category_scores_gemma":[0.04891687,0.00070691976,0.0011266958,0.005837293,0.0052574296,0.02098882,0.01593896,0.0021920113,0.0021394438],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021634791,0.0007446317,0.006970621,0.0007371137,0.0001532159,0.00072413037,0.049322583,0.004065563,0.0035884094,0.41330886,0.010162595,0.51000595],"study_design_scores_gemma":[0.00019768004,0.00029004316,0.0022576211,0.0010146359,0.00026737308,0.0009253567,0.018189326,0.09433946,0.0040409593,0.648394,0.2299461,0.00013748299],"about_ca_topic_score_codex":0.0019805941,"about_ca_topic_score_gemma":0.0026339965,"teacher_disagreement_score":0.013522241,"about_ca_system_score_codex":0.0016747054,"about_ca_system_score_gemma":0.0042575193,"threshold_uncertainty_score":0.071513295},"labels":[],"label_agreement":null},{"id":"W2266900713","doi":"10.1007/978-3-642-35975-0_14","title":"Ontology Enhancement through Inductive Decision Trees","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Ontology; Ontology components; Semantics (computer science); Process ontology; Web Ontology Language; Semantic Web; Upper ontology; IDEF5; Domain (mathematical analysis); Information retrieval; Ontology-based data integration; Open Biomedical Ontologies; Description logic; Decision tree; Variety (cybernetics); Popularity; Ontology language; Ontology alignment; Data mining; Artificial intelligence; Programming language","score_opus":0.028272303428165526,"score_gpt":0.2741008378724973,"score_spread":0.24582853444433175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266900713","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006501634,0.00022638145,0.9882748,0.00010616278,0.000039070303,0.00006270035,0.00011676736,0.0008797029,0.0037927476],"genre_scores_gemma":[0.13708347,0.00038301546,0.85617644,0.00013337652,0.000061887404,0.0001227504,0.0010688403,0.00025668822,0.0047135283],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998618,0.00042352526,0.000091175956,0.00021295213,0.0005595128,0.00009482156],"domain_scores_gemma":[0.9966009,0.002294955,0.00012833098,0.0004164488,0.0005039814,0.000055397497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018885065,0.00057651335,0.00064282515,0.0016258546,0.0005433539,0.001094921,0.001421793,0.0005059989,0.004553965],"category_scores_gemma":[0.0055678734,0.00044541134,0.0012402347,0.001505869,0.0005665983,0.002539671,0.0019596908,0.001594801,0.0017054805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016268484,0.00026539253,0.0011962368,0.00032844007,0.00011287134,0.00020853041,0.00023884476,0.06917462,0.012301055,0.05442052,0.0073556458,0.8542352],"study_design_scores_gemma":[0.000028096005,0.00005769651,0.0004725858,0.00010251552,0.00010882644,0.0001803906,0.000105887804,0.80801576,0.022471286,0.14977838,0.018654285,0.00002423062],"about_ca_topic_score_codex":0.00095737964,"about_ca_topic_score_gemma":0.0019101877,"teacher_disagreement_score":0.004553965,"about_ca_system_score_codex":0.0005991683,"about_ca_system_score_gemma":0.00086434674,"threshold_uncertainty_score":0.01523453},"labels":[],"label_agreement":null},{"id":"W2267175158","doi":"","title":"한-불 지령적 텍스트 번역시스템의 구현을 위한 방법론 연구(1)","year":2006,"lang":"ko","type":"article","venue":"Etudes de la Culture Francaise et de Arts en France","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","score_opus":0.006484764011806995,"score_gpt":0.2652470022350249,"score_spread":0.2587622382232179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267175158","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029039849,0.013464705,0.5506889,0.007227066,0.0045321677,0.00052210194,0.0018415849,0.011791719,0.3808919],"genre_scores_gemma":[0.2457448,0.012798362,0.2899336,0.0024231165,0.0012822099,0.0005045144,0.002934465,0.0022924077,0.4420865],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99812466,0.0002342996,0.000109267334,0.0005552335,0.0008223125,0.00015429678],"domain_scores_gemma":[0.99748045,0.0006735677,0.00017000087,0.0006337743,0.00095237204,0.00008984041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016009543,0.0009693017,0.0005075536,0.0015295867,0.0018773673,0.0047660284,0.0012608147,0.0015107953,0.035886757],"category_scores_gemma":[0.0047605895,0.0006579985,0.0009374584,0.0025136038,0.0023864135,0.0051854732,0.002261636,0.0019054145,0.02344134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039965258,0.0000777614,0.0032983888,0.0010061321,0.00005920036,0.0004019933,0.0017549464,0.0047174613,0.023714157,0.32315,0.05424367,0.5871766],"study_design_scores_gemma":[0.000041958425,0.00011642354,0.0016353928,0.0002725436,0.000054341588,0.0007081237,0.00057377934,0.009776391,0.029319104,0.07546503,0.8819394,0.0000974971],"about_ca_topic_score_codex":0.0045052073,"about_ca_topic_score_gemma":0.0052024215,"teacher_disagreement_score":0.035886757,"about_ca_system_score_codex":0.0016850083,"about_ca_system_score_gemma":0.0020694141,"threshold_uncertainty_score":0.12005317},"labels":[],"label_agreement":null},{"id":"W2268853795","doi":"","title":"EFFECTIVE SEMANTIC WEB-BASED SOLUTIONS FOR CIVIL ENGINEERING","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Social Semantic Web; Semantic Web; World Wide Web; Computer science; Web engineering; Usability; Web standards; Semantic Web Stack; Web modeling; Data Web; The Internet; Web intelligence; Web service; Human–computer interaction","score_opus":0.021593261355933566,"score_gpt":0.22719759253968483,"score_spread":0.20560433118375127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268853795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008610046,0.0040963064,0.87121177,0.014078435,0.00055438426,0.00051143166,0.00017024243,0.0014281656,0.09933925],"genre_scores_gemma":[0.10669786,0.005478357,0.87057436,0.0013601372,0.00017575384,0.00051296054,0.00056861516,0.00027690572,0.014355075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947666,0.002372298,0.00039385445,0.0002954197,0.0019718693,0.00020004508],"domain_scores_gemma":[0.99786735,0.0007857258,0.00019153138,0.0005506635,0.0004839973,0.00012074838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006645572,0.00096258754,0.0006293647,0.003659076,0.0027275092,0.005780619,0.0021677157,0.004479413,0.009000524],"category_scores_gemma":[0.007698714,0.00055100693,0.0011405189,0.0041007334,0.0027017763,0.017104715,0.006341616,0.002106428,0.0033840665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000349798,0.00026055714,0.00043415633,0.00067131827,0.00005228578,0.00026239431,0.0016184604,0.011485975,0.0024203763,0.71210945,0.017785905,0.25286415],"study_design_scores_gemma":[0.00003607494,0.000042502328,0.00024701192,0.0003935898,0.00004740451,0.00019168165,0.0023884429,0.032618176,0.002471678,0.6351531,0.32637417,0.000036172674],"about_ca_topic_score_codex":0.0014513334,"about_ca_topic_score_gemma":0.0030661647,"teacher_disagreement_score":0.009000524,"about_ca_system_score_codex":0.0019609865,"about_ca_system_score_gemma":0.004837752,"threshold_uncertainty_score":0.03514558},"labels":[],"label_agreement":null},{"id":"W2273502271","doi":"10.4242/balisagevol8.jordanous01","title":"Contemporary transformation of ancient documents for recording and retrieving maximum information: when one form of markup is not enough","year":2012,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Markup language; Arabic; Computer science; Annotation; RDF; Transformation (genetics); Publication; Information retrieval; World Wide Web; Natural language processing; Linguistics; Artificial intelligence; XML; Semantic Web","score_opus":0.03342159134163366,"score_gpt":0.2468725924931488,"score_spread":0.21345100115151514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273502271","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.108073905,0.009383893,0.49029648,0.03982624,0.003378823,0.00037415302,0.0014073893,0.0028155798,0.34444356],"genre_scores_gemma":[0.55192184,0.0072468324,0.386392,0.0025201242,0.00061842526,0.00033046087,0.0015620046,0.0025347357,0.04687366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9923578,0.003109853,0.000591511,0.000815914,0.0028945154,0.00023040066],"domain_scores_gemma":[0.97401005,0.00937868,0.0012660965,0.010745821,0.004222141,0.00037721125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012610856,0.00044970796,0.00044860225,0.0035720277,0.0040314435,0.0077763447,0.0014291396,0.002148206,0.0057496005],"category_scores_gemma":[0.034771655,0.00039183162,0.00032843737,0.0059979786,0.011094461,0.019366726,0.0045318077,0.0035352933,0.0025636577],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012060198,0.0000658025,0.0015681932,0.0008288098,0.000024219073,0.0005771019,0.07192428,0.0012551929,0.008359072,0.6033808,0.016800944,0.29509503],"study_design_scores_gemma":[0.000016645457,0.000038983897,0.0012150526,0.0009636382,0.000030281084,0.0010153259,0.021142056,0.0018346186,0.013700549,0.14045873,0.8194973,0.0000868231],"about_ca_topic_score_codex":0.0028528152,"about_ca_topic_score_gemma":0.002907866,"teacher_disagreement_score":0.012610856,"about_ca_system_score_codex":0.002916761,"about_ca_system_score_gemma":0.004149251,"threshold_uncertainty_score":0.066693366},"labels":[],"label_agreement":null},{"id":"W2277519993","doi":"10.4242/balisagevol5.briquet01","title":"A Virtualization-Based Retrieval and Update API for XML-Encoded Corpora","year":2010,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; XML; Information retrieval; Markup language; World Wide Web; Simple API for XML; Well-formed document; XML framework; SGML; Representation (politics); Virtualization; Streaming XML; Document Structure Description; Document type definition; XML Signature; Operating system; Cloud computing","score_opus":0.009566712296790668,"score_gpt":0.2309762155939664,"score_spread":0.2214095032971757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277519993","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057415687,0.00025308295,0.70551187,0.00027944354,0.00012852912,0.0003902909,0.0047829296,0.2746464,0.008265859],"genre_scores_gemma":[0.16066097,0.0008547547,0.7272001,0.00073313585,0.00021210863,0.001713193,0.03341822,0.045130145,0.030077396],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861145,0.0003076115,0.00022598573,0.0002516513,0.0005065493,0.00009676436],"domain_scores_gemma":[0.9957467,0.0016176185,0.00029403082,0.0016472734,0.00052096345,0.00017349292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027437457,0.001051721,0.0010420558,0.0023039104,0.00084623747,0.003528894,0.0025795985,0.00096322974,0.01485512],"category_scores_gemma":[0.009531323,0.0009360973,0.00093447947,0.0025120813,0.0008107592,0.0053865598,0.003555312,0.0017139594,0.009161875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001777708,0.0003399208,0.0031225197,0.0010783321,0.00025594173,0.0014760299,0.00212136,0.009053993,0.066690184,0.073901586,0.1843223,0.6558601],"study_design_scores_gemma":[0.0004240326,0.0002602451,0.004382635,0.00025996295,0.00017997246,0.0026643167,0.0005151586,0.25446025,0.14031155,0.065874085,0.53018874,0.00047904605],"about_ca_topic_score_codex":0.0024990041,"about_ca_topic_score_gemma":0.0026243676,"teacher_disagreement_score":0.01485512,"about_ca_system_score_codex":0.001263306,"about_ca_system_score_gemma":0.0011541574,"threshold_uncertainty_score":0.049695313},"labels":[],"label_agreement":null},{"id":"W2278344492","doi":"10.6084/m9.figshare.872613.v1","title":"Improving Metadata Quality: An Iterative Approach Using Scrum","year":2013,"lang":"en","type":"article","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; Quality (philosophy); Information retrieval; World Wide Web","score_opus":0.18194902109292904,"score_gpt":0.32930613910916895,"score_spread":0.1473571180162399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278344492","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050384223,0.0009255848,0.9136834,0.007121431,0.00049856567,0.0036876432,0.00017706165,0.0055011865,0.01802081],"genre_scores_gemma":[0.09928002,0.00033225428,0.8911074,0.0005917935,0.000062145686,0.0008002023,0.00026011822,0.00068355334,0.0068825423],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9129339,0.03930954,0.006862902,0.0051196907,0.03285866,0.0029153358],"domain_scores_gemma":[0.78047043,0.07704786,0.0151652545,0.036956336,0.08456579,0.0057943957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.065085,0.0020933452,0.0017094144,0.008936232,0.0060982816,0.011202957,0.0068425233,0.003035221,0.0058537386],"category_scores_gemma":[0.15132178,0.0015852359,0.0019259469,0.00510151,0.0040639224,0.010980167,0.016373886,0.004442336,0.0028037133],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002874984,0.000997139,0.006552863,0.002382825,0.0002441704,0.0012951114,0.058543973,0.006573976,0.024952635,0.021236826,0.022455253,0.85447776],"study_design_scores_gemma":[0.00056064076,0.0035243544,0.019440453,0.007339497,0.0011268468,0.004960848,0.11337684,0.10692372,0.11587841,0.13791516,0.48731324,0.0016400763],"about_ca_topic_score_codex":0.004899985,"about_ca_topic_score_gemma":0.0115066795,"teacher_disagreement_score":0.065085,"about_ca_system_score_codex":0.0056538363,"about_ca_system_score_gemma":0.018720264,"threshold_uncertainty_score":0.3442065},"labels":[],"label_agreement":null},{"id":"W2282340543","doi":"10.1109/wi-iat.2015.73","title":"Constructing Topos from RDF Data","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Topos theory; RDF; Category theory; Context (archaeology); Categorical variable; Computer science; RDF Schema; Linked data; Theoretical computer science; Mathematics; Algebra over a field; Artificial intelligence; SPARQL; Semantic Web; Pure mathematics; Geography","score_opus":0.1981054697228,"score_gpt":0.3136615482244013,"score_spread":0.1155560785016013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282340543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062226234,0.00027533376,0.9739129,0.0010811149,0.00019215602,0.0003994655,0.0014770444,0.002613084,0.01382622],"genre_scores_gemma":[0.09325318,0.0009119206,0.89321035,0.00046648094,0.00012182984,0.0006690547,0.005361641,0.0010105859,0.0049949256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99589634,0.0011922767,0.0004762187,0.00056014623,0.0015679462,0.00030713726],"domain_scores_gemma":[0.9952691,0.0018873571,0.00028066116,0.0012327252,0.0010976369,0.00023250814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052493336,0.0006272984,0.00066441344,0.006363543,0.0023521283,0.00720467,0.0015783724,0.0011196833,0.0053532803],"category_scores_gemma":[0.010973334,0.00087992183,0.0027389626,0.004327159,0.0033138082,0.010784679,0.006151773,0.0024918278,0.0016827559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036331407,0.000044731456,0.00079382525,0.00032975787,0.00006270072,0.00074457604,0.0015327743,0.005118024,0.0022366976,0.92401475,0.007066865,0.05801892],"study_design_scores_gemma":[0.000019770963,0.00002279138,0.00036673053,0.00030063285,0.00005743117,0.00038643106,0.0015894298,0.032418683,0.005052739,0.7614922,0.19823694,0.00005623829],"about_ca_topic_score_codex":0.00626725,"about_ca_topic_score_gemma":0.0070442967,"teacher_disagreement_score":0.00720467,"about_ca_system_score_codex":0.0020344916,"about_ca_system_score_gemma":0.0032909831,"threshold_uncertainty_score":0.02776146},"labels":[],"label_agreement":null},{"id":"W2282599822","doi":"","title":"BILL ADAIR, BENJAMIN FILENE, and LAURA KOLOSKI, eds., Letting Go? Sharing Historical Authority in a User-Generated World","year":2013,"lang":"en","type":"article","venue":"Archivaria","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; History; Art; Media studies; Sociology","score_opus":0.023456174500516392,"score_gpt":0.2343265672590743,"score_spread":0.2108703927585579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282599822","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008499899,0.75058407,0.008388692,0.0940867,0.009870842,0.0000502182,0.00035384693,0.00046687177,0.13534877],"genre_scores_gemma":[0.012039744,0.7308927,0.008193286,0.00814848,0.0036380205,0.0000886946,0.00062071474,0.0004283932,0.23594981],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896836,0.00026655084,0.000054533695,0.000142889,0.00050595345,0.00006160819],"domain_scores_gemma":[0.9984189,0.0007798968,0.00010126513,0.00006733429,0.00040599954,0.00022659276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026030752,0.0013061129,0.0010903692,0.0022721877,0.0023524193,0.007389456,0.0013168224,0.002905649,0.0431909],"category_scores_gemma":[0.0027989445,0.001276966,0.00051214633,0.0038455897,0.0020952825,0.018797038,0.0020495327,0.0033562577,0.030204516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026243351,0.000015334643,0.0001238278,0.00035248158,0.00000536817,0.000046615176,0.00097501837,0.00012371484,0.00013349124,0.00993586,0.8647347,0.123527415],"study_design_scores_gemma":[0.0000052094456,0.000005748075,0.00028096154,0.0005695177,0.000010050102,0.0002350055,0.0013093223,0.00014622358,0.00012737523,0.006776296,0.99051917,0.000015116975],"about_ca_topic_score_codex":0.011664763,"about_ca_topic_score_gemma":0.024128014,"teacher_disagreement_score":0.0431909,"about_ca_system_score_codex":0.0018085231,"about_ca_system_score_gemma":0.0028585831,"threshold_uncertainty_score":0.14448792},"labels":[],"label_agreement":null},{"id":"W2288791961","doi":"","title":"Validation de la sémantique d'un modèle semi-formel de connaissances avec OntoCASE","year":2010,"lang":"fr","type":"preprint","venue":"R-libre (Université Téluq)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Humanities; Philosophy","score_opus":0.024585561190907962,"score_gpt":0.24035266802834995,"score_spread":0.215767106837442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288791961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027497148,0.00013878845,0.9492755,0.0008039663,0.00020607344,0.0005127993,0.0009595299,0.0029555883,0.017650586],"genre_scores_gemma":[0.23490614,0.00042723006,0.7336337,0.00028238207,0.0000612657,0.001369056,0.0029829063,0.0028045657,0.023532778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9910943,0.0029674002,0.0006569253,0.0015698961,0.0033132895,0.0003982332],"domain_scores_gemma":[0.98193914,0.008547855,0.00065708,0.0051971944,0.0033354736,0.0003232699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066129807,0.0010792721,0.0006487389,0.0019433543,0.0018642391,0.007990274,0.0019663058,0.0017224614,0.01270352],"category_scores_gemma":[0.026472999,0.0011184829,0.0025876113,0.0013193224,0.0050024744,0.009673595,0.0058307434,0.0034568598,0.0025861694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004338711,0.0002610094,0.0046907375,0.0010253253,0.00009649146,0.0011785408,0.01907976,0.024162542,0.021380298,0.8039116,0.005789841,0.11798998],"study_design_scores_gemma":[0.0001694933,0.00028376072,0.0032642395,0.0009873082,0.00017159169,0.0013152409,0.007229235,0.17420226,0.07618665,0.2851108,0.4508012,0.00027825026],"about_ca_topic_score_codex":0.018368253,"about_ca_topic_score_gemma":0.0127578,"teacher_disagreement_score":0.018368253,"about_ca_system_score_codex":0.00258776,"about_ca_system_score_gemma":0.0060170274,"threshold_uncertainty_score":0.042497456},"labels":[],"label_agreement":null},{"id":"W2293011010","doi":"","title":"Meaningful Information, Meaningful Lives: Principles of a Semantic Information Science.","year":2013,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Semantics (computer science); Meaning (existential); Social Semantic Web; Semantic Web; Semiotics; The Internet; Linguistics; Psychology","score_opus":0.015783511680934365,"score_gpt":0.22148194124360088,"score_spread":0.2056984295626665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293011010","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048344103,0.16133405,0.29516813,0.1534948,0.0082092965,0.00039769898,0.0008520461,0.0005429236,0.37516665],"genre_scores_gemma":[0.480754,0.12620203,0.25770056,0.05908073,0.020148909,0.0030695712,0.0013937447,0.0007402009,0.050910316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.991227,0.004802083,0.0008048467,0.0010287081,0.0017035299,0.00043393698],"domain_scores_gemma":[0.99255365,0.005085156,0.00033179496,0.0009751327,0.0007032994,0.0003509872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01068002,0.0017004448,0.001824824,0.0070933886,0.005551828,0.018253505,0.0023069398,0.009787646,0.005066285],"category_scores_gemma":[0.011535574,0.0008166303,0.0015668432,0.0050015296,0.061258618,0.03490886,0.009047442,0.0094408905,0.0024381424],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044755534,0.0000046035434,0.0000249946,0.00006762136,0.0000062338413,0.000028821003,0.0011020271,0.00007825974,0.000023362674,0.9914165,0.0038050767,0.003437984],"study_design_scores_gemma":[0.000005007027,0.0000047283447,0.000027613682,0.00011314831,0.0000031015306,0.00005804037,0.00032195656,0.00020134599,0.00002985119,0.94088435,0.058342464,0.000008454643],"about_ca_topic_score_codex":0.004450828,"about_ca_topic_score_gemma":0.0023480006,"teacher_disagreement_score":0.018253505,"about_ca_system_score_codex":0.0072251805,"about_ca_system_score_gemma":0.0057114474,"threshold_uncertainty_score":0.056482017},"labels":[],"label_agreement":null},{"id":"W2293165647","doi":"10.5591/978-1-57735-516-8/ijcai11-144","title":"Efficient reasoning in proper knowledge bases with unknown individuals","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Soundness; Completeness (order theory); Generalization; Computer science; Relational database; Set (abstract data type); Key (lock); Theoretical computer science; Artificial intelligence; Information retrieval; Mathematics; Programming language","score_opus":0.03774788706705074,"score_gpt":0.24078092957978975,"score_spread":0.20303304251273901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293165647","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011414552,0.00024510451,0.9855823,0.00048815453,0.000018488454,0.00009388217,0.00011565051,0.0003701868,0.0016717492],"genre_scores_gemma":[0.22793381,0.00079017493,0.76668054,0.0003301276,0.00014047694,0.00020668887,0.00087749155,0.00020923297,0.0028314593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9834554,0.0048008556,0.0019156459,0.0025065856,0.0060845204,0.0012370228],"domain_scores_gemma":[0.9734162,0.01767754,0.001094904,0.005184289,0.0022917269,0.00033526402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014556187,0.0009752589,0.0024344341,0.0028197234,0.0021334917,0.007611526,0.003960539,0.001930519,0.0024459718],"category_scores_gemma":[0.039580543,0.0014397611,0.004059388,0.0034989482,0.0046117366,0.024135374,0.005816388,0.004269092,0.00069619017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019593483,0.00013238713,0.00095326285,0.00052668224,0.0001714719,0.00056644634,0.0018861631,0.0544247,0.003330673,0.8367816,0.001828341,0.09920227],"study_design_scores_gemma":[0.000030880314,0.000024798459,0.00012396758,0.000064500564,0.00009506828,0.00015877454,0.00023411911,0.13636062,0.0042601246,0.8540393,0.004572709,0.00003500373],"about_ca_topic_score_codex":0.0055431104,"about_ca_topic_score_gemma":0.0057065752,"teacher_disagreement_score":0.014556187,"about_ca_system_score_codex":0.0024536534,"about_ca_system_score_gemma":0.0034436109,"threshold_uncertainty_score":0.076981366},"labels":[],"label_agreement":null},{"id":"W2293224085","doi":"10.3217/jucs-020-13-1791","title":"An Adaptive Intent Resolving Scheme for Service Discovery and Integration","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Scheme (mathematics); Computer science; Service discovery; Service (business); Data science; World Wide Web; Web service; Mathematics; Business","score_opus":0.07175684928026982,"score_gpt":0.25764692125568617,"score_spread":0.18589007197541635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293224085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027099075,0.00026839817,0.9632655,0.00043231467,0.00012483567,0.0008798243,0.00018972186,0.005188662,0.0025517102],"genre_scores_gemma":[0.25500607,0.00016666464,0.73997706,0.00026169076,0.00009206299,0.0003627982,0.00061134034,0.00023261912,0.0032897445],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99243504,0.002268027,0.0010536604,0.0011080004,0.0025978272,0.0005375136],"domain_scores_gemma":[0.9877852,0.0032980205,0.0010477365,0.0043010768,0.0028840397,0.0006839108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0096372375,0.00080561405,0.0011408373,0.0036637294,0.0022773186,0.0028855845,0.0027029137,0.0020800794,0.0024554667],"category_scores_gemma":[0.022153797,0.00048291852,0.001035185,0.0023985067,0.0016866672,0.005191281,0.0052966843,0.002394003,0.0017875981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010249534,0.0009213727,0.0074098343,0.00045511583,0.00013536272,0.0003640694,0.0027539707,0.025604926,0.058695726,0.09414477,0.013593484,0.79489636],"study_design_scores_gemma":[0.0002163033,0.0006341368,0.0030612769,0.00010949755,0.0002155153,0.0009568475,0.0009430224,0.8138403,0.056408882,0.07336646,0.049988177,0.00025960433],"about_ca_topic_score_codex":0.0038511062,"about_ca_topic_score_gemma":0.0030186453,"teacher_disagreement_score":0.0096372375,"about_ca_system_score_codex":0.0016291211,"about_ca_system_score_gemma":0.002901375,"threshold_uncertainty_score":0.050967216},"labels":[],"label_agreement":null},{"id":"W2293474702","doi":"10.1007/978-3-319-29510-7_5","title":"Towards a Body of Knowledge in Formal Methods for the Railway Domain: Identification of Settled Knowledge","year":2016,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Identification (biology); Construct (python library); Computer science; Normative; Domain (mathematical analysis); Domain knowledge; Body of knowledge; Domain analysis; Formal methods; Data science; Artificial intelligence; Knowledge management; Epistemology; Software engineering; Mathematics; Software development; Programming language; Software; Philosophy","score_opus":0.058833714334708354,"score_gpt":0.37535808815211597,"score_spread":0.3165243738174076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293474702","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057106703,0.0015382231,0.9695923,0.0019543357,0.00011167154,0.0000907788,0.00007636574,0.00015031637,0.020775413],"genre_scores_gemma":[0.15548193,0.0024190457,0.8237108,0.00048605626,0.0002281633,0.00046226144,0.00062254106,0.00039571436,0.016193446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9917814,0.003026046,0.0010934478,0.0012068831,0.0025628917,0.00032925903],"domain_scores_gemma":[0.98283964,0.01019388,0.0007293013,0.0042060525,0.0017296802,0.00030140727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012923069,0.0007940854,0.0013996257,0.004101982,0.0028580667,0.010917827,0.0034790142,0.0042537246,0.004882801],"category_scores_gemma":[0.024778828,0.0014670779,0.002324048,0.004612446,0.01675294,0.02649034,0.009115145,0.006671854,0.0017029982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001103858,0.000015585698,0.00013240632,0.00011493802,0.000007470416,0.000037758364,0.0021588316,0.00069986447,0.00032234885,0.9717543,0.00074225524,0.024003124],"study_design_scores_gemma":[0.000005900689,0.000007848501,0.00008219745,0.00014589459,0.0000085963575,0.000051132312,0.00036048028,0.005881722,0.00059244456,0.9769116,0.015940145,0.000012064044],"about_ca_topic_score_codex":0.0019196193,"about_ca_topic_score_gemma":0.001627817,"teacher_disagreement_score":0.012923069,"about_ca_system_score_codex":0.0030178817,"about_ca_system_score_gemma":0.003907187,"threshold_uncertainty_score":0.06834459},"labels":[],"label_agreement":null},{"id":"W2293524909","doi":"10.5441/002/edbt.2015.49","title":"WAVEGUIDE: Evaluating SPARQL Property Path Queries","year":2015,"lang":"en","type":"article","venue":"Movebank","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"SPARQL; Computer science; Automaton; Property (philosophy); Graph; Path (computing); RDF; Waveguide; Theoretical computer science; Information retrieval; Programming language; Physics; Semantic Web; Optics","score_opus":0.12731089438710572,"score_gpt":0.3217526883773843,"score_spread":0.19444179399027858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293524909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060035218,0.0005044996,0.7993711,0.0009322997,0.00016225755,0.0003700735,0.008406945,0.11641311,0.013804392],"genre_scores_gemma":[0.39810586,0.00059725664,0.5497787,0.00072812266,0.00007744992,0.00044622555,0.02151652,0.01720464,0.011545301],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99629563,0.0009424225,0.00029938144,0.0006187012,0.001630545,0.00021324326],"domain_scores_gemma":[0.9967416,0.0015937181,0.00014631852,0.0008481174,0.0005854402,0.00008489063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035646136,0.0010816848,0.0008040334,0.00096836797,0.00071069103,0.0025238527,0.0016438906,0.0009213875,0.008950212],"category_scores_gemma":[0.008861876,0.00084861106,0.0011347434,0.0013364473,0.0010884969,0.006537521,0.0023272156,0.0013237227,0.0018568132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024906201,0.0006470841,0.010661416,0.0018821589,0.00054241024,0.00092614477,0.0017765725,0.15283474,0.06990272,0.16130261,0.18173039,0.4153032],"study_design_scores_gemma":[0.00024239483,0.00019082008,0.001618126,0.000107464446,0.0001033919,0.00027332437,0.00075574743,0.77664024,0.077040754,0.07568663,0.06723148,0.000109581684],"about_ca_topic_score_codex":0.011536303,"about_ca_topic_score_gemma":0.015698807,"teacher_disagreement_score":0.011536303,"about_ca_system_score_codex":0.0015622097,"about_ca_system_score_gemma":0.0015972393,"threshold_uncertainty_score":0.02994144},"labels":[],"label_agreement":null},{"id":"W2293956874","doi":"10.1007/978-3-319-27060-9_10","title":"Practical Measurements for Quality of Ontology Matching Applying to the OAEI Dataset","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ontology alignment; Computer science; Ontology; Matching (statistics); Benchmark (surveying); Information retrieval; Data mining; Modalities; Process ontology; Semantic Web; Mathematics","score_opus":0.2389345480336807,"score_gpt":0.4028334714542066,"score_spread":0.16389892342052592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293956874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5984693,0.011340126,0.26117054,0.0033799745,0.0015297399,0.00084265746,0.08063675,0.01946043,0.023170514],"genre_scores_gemma":[0.6285072,0.0011372244,0.24099983,0.00044723466,0.0002934346,0.00033141684,0.124204524,0.0015939338,0.002485252],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96346265,0.009968504,0.005009773,0.0068064206,0.013041714,0.0017108882],"domain_scores_gemma":[0.90598404,0.050775327,0.0039740633,0.02177904,0.0160373,0.0014502351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026300834,0.0012272204,0.0015320801,0.008228888,0.001753055,0.0056531364,0.0030699098,0.003311612,0.0041986834],"category_scores_gemma":[0.12046491,0.0004348002,0.0014799379,0.012988286,0.00160618,0.006545662,0.0035179283,0.0015574619,0.002023581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064141504,0.0012876476,0.17151631,0.0038413033,0.0024865703,0.00035622958,0.0013128665,0.078344114,0.026265934,0.028073441,0.14192317,0.53817827],"study_design_scores_gemma":[0.00075532484,0.0011790494,0.13559398,0.0008517294,0.0009322512,0.0017120598,0.003319796,0.65097904,0.064618625,0.06776781,0.07193571,0.00035468955],"about_ca_topic_score_codex":0.008145847,"about_ca_topic_score_gemma":0.013154786,"teacher_disagreement_score":0.026300834,"about_ca_system_score_codex":0.001890674,"about_ca_system_score_gemma":0.0023254792,"threshold_uncertainty_score":0.13909376},"labels":[],"label_agreement":null},{"id":"W2293959295","doi":"","title":"Evaluation of a Methodology for Modeling Term Relationship through Geometry: Experiments at TREC 2010 Relevance Feedback Track","year":2010,"lang":"en","type":"article","venue":"Research Padua  Archive (University of Padua)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"European Commission","keywords":"Relevance feedback; Subspace topology; Relevance (law); Computer science; Term (time); Information retrieval; Exploit; Formalism (music); Track (disk drive); Data mining; Artificial intelligence; Image retrieval; Machine learning; Natural language processing; Image (mathematics)","score_opus":0.45329646964131004,"score_gpt":0.438245661100384,"score_spread":0.015050808540926053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293959295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44204435,0.0016072829,0.5331964,0.00084259466,0.0002829275,0.0025050943,0.0034513182,0.0126054315,0.0034646613],"genre_scores_gemma":[0.53812045,0.00034161037,0.45536804,0.00016829779,0.00006749232,0.0008829054,0.0033460916,0.00047804782,0.0012271613],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98931086,0.0071486724,0.0004703072,0.0015348931,0.0013484007,0.00018695899],"domain_scores_gemma":[0.96850175,0.024559168,0.0012811071,0.0022017984,0.003002999,0.0004532106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016463201,0.0012415579,0.0008140129,0.0016635021,0.00078019605,0.0014322584,0.002398613,0.0020835805,0.0015277424],"category_scores_gemma":[0.036509603,0.0005478698,0.0009700223,0.002004555,0.00072594354,0.0027356292,0.0015806381,0.0014342914,0.000910557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041988357,0.0030681205,0.012497617,0.0017164912,0.0008820468,0.00023027346,0.0018210686,0.22896141,0.04345018,0.0037493976,0.0114134345,0.6880111],"study_design_scores_gemma":[0.00048292175,0.0026845161,0.0052952454,0.00004030743,0.00013751205,0.00014289217,0.00032169293,0.95929897,0.025647098,0.002326704,0.003540084,0.00008208988],"about_ca_topic_score_codex":0.01390236,"about_ca_topic_score_gemma":0.012735646,"teacher_disagreement_score":0.016463201,"about_ca_system_score_codex":0.0015739871,"about_ca_system_score_gemma":0.0015998482,"threshold_uncertainty_score":0.08706677},"labels":[],"label_agreement":null},{"id":"W2294158666","doi":"","title":"On Adding Inverse Features to the Description Logic CFD ∀ nc .","year":2014,"lang":"en","type":"article","venue":"Pacific Rim International Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Relevance (law); Inverse; Description logic; RDF; Relational database; Artificial intelligence; Knowledge base; Value (mathematics); Path (computing); Theoretical computer science; Semantic Web; Programming language; Machine learning; Information retrieval; Mathematics","score_opus":0.11851405969402812,"score_gpt":0.32363089527911315,"score_spread":0.20511683558508503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294158666","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011118299,0.00013207954,0.9697675,0.001112669,0.00014471472,0.0001608999,0.00046911076,0.002129088,0.01496566],"genre_scores_gemma":[0.12874539,0.00020702145,0.85797185,0.0013910412,0.00009422994,0.00019971757,0.0012401604,0.00048552986,0.009665018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972683,0.00074138626,0.0003048615,0.00054901344,0.0009388139,0.00019771479],"domain_scores_gemma":[0.99466777,0.00238962,0.0002452635,0.0015198399,0.00095398794,0.00022352142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033592612,0.0004830523,0.0004898723,0.0011481976,0.0010760818,0.0035405129,0.0018445415,0.0009002708,0.0042841136],"category_scores_gemma":[0.009595059,0.00071021065,0.0015943159,0.00083667366,0.0022800148,0.008151833,0.005436307,0.0039689867,0.0011894074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001935372,0.00009608501,0.0013329395,0.0002719496,0.00004444335,0.00037760386,0.00068471703,0.007690706,0.008542862,0.8403391,0.0071109766,0.13331513],"study_design_scores_gemma":[0.00006344938,0.00012962746,0.00060346816,0.00018140115,0.000081609105,0.0010676015,0.0003406118,0.10105651,0.034046624,0.70911014,0.15321982,0.00009914741],"about_ca_topic_score_codex":0.003221824,"about_ca_topic_score_gemma":0.0045460556,"teacher_disagreement_score":0.0042841136,"about_ca_system_score_codex":0.0017322361,"about_ca_system_score_gemma":0.0021619343,"threshold_uncertainty_score":0.017765641},"labels":[],"label_agreement":null},{"id":"W2294267303","doi":"10.1007/978-3-319-25840-9_18","title":"Techniques for Merging Upper Ontologies","year":2015,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology components; Ontology; Computer science; Process ontology; IDEF5; Upper ontology; Ontology-based data integration; Merge (version control); Information retrieval; Open Biomedical Ontologies; Web Ontology Language; Ontology alignment; Suggested Upper Merged Ontology; Focus (optics); Bridge (graph theory); Semantic Web; Epistemology","score_opus":0.08994957818910755,"score_gpt":0.3407285614362266,"score_spread":0.25077898324711906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294267303","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019960897,0.0004311934,0.9863366,0.00022992902,0.00012957212,0.00010860136,0.00023278294,0.002429087,0.008106244],"genre_scores_gemma":[0.023052065,0.0006505256,0.9670004,0.0001718228,0.000060347695,0.00012262115,0.0017023489,0.0012928896,0.0059468723],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9931786,0.0010249139,0.00088683725,0.001289977,0.003151577,0.0004681648],"domain_scores_gemma":[0.99010336,0.0030068909,0.00033132674,0.004529162,0.0018370118,0.00019223492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054286295,0.0017759444,0.0017375248,0.008090213,0.00395549,0.007116151,0.0045793015,0.002295508,0.021333233],"category_scores_gemma":[0.022283874,0.0021636959,0.005231203,0.01025135,0.0024349333,0.01938389,0.012942219,0.0056643835,0.0076919626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009167667,0.000094341405,0.000689219,0.000516374,0.0001441567,0.00025216234,0.0016603771,0.004471797,0.005361148,0.28218356,0.014461303,0.6900738],"study_design_scores_gemma":[0.000029835432,0.00004233362,0.0007344946,0.00039417454,0.00038598673,0.00078701804,0.0013613639,0.081795864,0.027574077,0.623803,0.26297602,0.0001159002],"about_ca_topic_score_codex":0.006625616,"about_ca_topic_score_gemma":0.008602053,"teacher_disagreement_score":0.021333233,"about_ca_system_score_codex":0.0018587745,"about_ca_system_score_gemma":0.0031845537,"threshold_uncertainty_score":0.07136685},"labels":[],"label_agreement":null},{"id":"W2295288902","doi":"10.1007/978-3-319-26762-3_15","title":"Improving Document Exchanges in the Supply Chain","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Ontology; Computer science; Task (project management); Supply chain; Ontology alignment; Process (computing); Focus (optics); Order (exchange); Semantic heterogeneity; Business process; Knowledge management; Process management; Information retrieval; Ontology-based data integration; Business; Engineering; Systems engineering; Work in process; Marketing","score_opus":0.022260548436804077,"score_gpt":0.24747047574930275,"score_spread":0.22520992731249867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295288902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1357656,0.0031822769,0.83130693,0.0024477113,0.0002184565,0.0005414926,0.0003237703,0.0051183957,0.021095313],"genre_scores_gemma":[0.3148205,0.0027957691,0.66784537,0.00030406058,0.000092600596,0.00027356113,0.0012424787,0.0009957952,0.011629914],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98912466,0.0048300438,0.0010635369,0.001237652,0.0031600709,0.0005839721],"domain_scores_gemma":[0.9841313,0.006697617,0.0014595244,0.0034433596,0.0037422238,0.0005260033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010274081,0.0008690892,0.00091098127,0.0042191283,0.002709442,0.008373233,0.0017076781,0.0020382865,0.0064654066],"category_scores_gemma":[0.030483516,0.0008129788,0.0007762124,0.010108034,0.00091007125,0.014334619,0.006294702,0.0015733624,0.003370112],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042048324,0.0004944711,0.0059830523,0.0007665891,0.000108267035,0.0005615762,0.0055867084,0.022160113,0.021361815,0.043669894,0.0065356987,0.8923514],"study_design_scores_gemma":[0.00046247197,0.0012467419,0.011145333,0.0014305647,0.0007097505,0.0021386303,0.015976842,0.27789164,0.14950456,0.22218351,0.317017,0.00029298238],"about_ca_topic_score_codex":0.0031831826,"about_ca_topic_score_gemma":0.0018608574,"teacher_disagreement_score":0.010274081,"about_ca_system_score_codex":0.0016960559,"about_ca_system_score_gemma":0.0036989124,"threshold_uncertainty_score":0.054335177},"labels":[],"label_agreement":null},{"id":"W2295513305","doi":"10.14778/3402755.3402776","title":"Debugging data exchange with vagabond","year":2011,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Debugging; Computer science; Process (computing); Programming language; Background debug mode interface; Algorithmic program debugging; Data exchange; World Wide Web","score_opus":0.08127179066559559,"score_gpt":0.22769392641453015,"score_spread":0.14642213574893456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295513305","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052663323,0.0005894571,0.7012402,0.00080664526,0.00026380835,0.00031460277,0.0012959149,0.23345369,0.009372401],"genre_scores_gemma":[0.42073876,0.00031213724,0.55383885,0.000594809,0.000045134166,0.00022920167,0.0033000982,0.013401671,0.007539393],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959859,0.0013657535,0.00030833328,0.001127039,0.001041141,0.00017175774],"domain_scores_gemma":[0.98575413,0.007301373,0.0007717444,0.004802326,0.0010039484,0.00036661004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006309295,0.001085374,0.0008508928,0.0015904057,0.0006784429,0.002281486,0.003240804,0.0012618942,0.00682128],"category_scores_gemma":[0.021789854,0.0011531019,0.00070158846,0.0007084909,0.0012926968,0.006503921,0.0052565443,0.0021928144,0.0016421566],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00608523,0.0008498976,0.03100359,0.0016018363,0.0005714931,0.0026796856,0.010639827,0.029308217,0.052378446,0.046355147,0.09179835,0.7267284],"study_design_scores_gemma":[0.00065046,0.0007141651,0.007912339,0.0006311645,0.00029696454,0.0028299945,0.0012397718,0.4441478,0.16429472,0.04321604,0.33357942,0.0004871126],"about_ca_topic_score_codex":0.0012096893,"about_ca_topic_score_gemma":0.0015452508,"teacher_disagreement_score":0.00682128,"about_ca_system_score_codex":0.00074866123,"about_ca_system_score_gemma":0.0012505649,"threshold_uncertainty_score":0.033367157},"labels":[],"label_agreement":null},{"id":"W2295747038","doi":"10.1109/hicss.2016.652","title":"Developing a Shared Taxonomy of Workaround Behaviors for the Information Systems Field","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Workaround; Taxonomy (biology); Card sorting; Computer science; Data science; Biology; Ecology; Engineering","score_opus":0.06422346369490127,"score_gpt":0.2675737771189309,"score_spread":0.2033503134240296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295747038","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21844028,0.000769427,0.7475932,0.006514796,0.00020525322,0.0028606933,0.000412061,0.00077008945,0.022434227],"genre_scores_gemma":[0.5248643,0.0004754933,0.46985105,0.00031002567,0.000018120754,0.0022561937,0.0006556853,0.000117980875,0.0014511722],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9705138,0.015238429,0.0042298282,0.0024418577,0.0060560866,0.0015199567],"domain_scores_gemma":[0.9298178,0.027175419,0.007535226,0.00856982,0.024554107,0.0023476402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035631597,0.0014630891,0.0010619527,0.0137884645,0.008275291,0.0085165715,0.0030494495,0.0033095651,0.0021059758],"category_scores_gemma":[0.06807484,0.0009303976,0.0018925745,0.0064439275,0.008157611,0.019828953,0.007955448,0.0034961032,0.0006897157],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014204491,0.0005442887,0.08178301,0.0021688933,0.00009613641,0.000574841,0.34172094,0.007271588,0.0052954233,0.32807413,0.006137476,0.22619128],"study_design_scores_gemma":[0.0000894552,0.00067538436,0.030944604,0.0040897173,0.00013930812,0.0014040234,0.4248359,0.049622156,0.004076169,0.4069128,0.07680397,0.00040658412],"about_ca_topic_score_codex":0.009522558,"about_ca_topic_score_gemma":0.010566579,"teacher_disagreement_score":0.035631597,"about_ca_system_score_codex":0.010059152,"about_ca_system_score_gemma":0.022518653,"threshold_uncertainty_score":0.18844014},"labels":[],"label_agreement":null},{"id":"W2296071099","doi":"10.1007/978-3-319-23540-0_28","title":"Matching Uncertain Identities Against Sparse Knowledge","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Matching (statistics); Artificial intelligence; Theoretical computer science; Mathematics","score_opus":0.049366230257179025,"score_gpt":0.2870513695602417,"score_spread":0.23768513930306268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296071099","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03903206,0.0007848035,0.9532877,0.00095068733,0.00012994901,0.00008450961,0.00036296438,0.00075337396,0.0046138437],"genre_scores_gemma":[0.6692133,0.0014537323,0.31803545,0.00043374812,0.0004138854,0.00015614285,0.0024134286,0.00024906007,0.007631223],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959318,0.0010775076,0.00027985187,0.00078864174,0.0016561623,0.00026596294],"domain_scores_gemma":[0.99046904,0.006592511,0.000634386,0.0015752821,0.00059811637,0.00013065188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00278131,0.0007464877,0.0016485332,0.0022040748,0.00085208786,0.0027263812,0.0025007974,0.0023934643,0.002739692],"category_scores_gemma":[0.024939481,0.00073405745,0.0011056582,0.00330249,0.0014600897,0.0072960504,0.0050207735,0.0023229546,0.0010580824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054655987,0.00017999677,0.002109245,0.00034480751,0.0002014667,0.00060654787,0.0003814764,0.2932091,0.0035707082,0.117498726,0.010656877,0.5706945],"study_design_scores_gemma":[0.000012442224,0.000042840384,0.00024631436,0.000036948193,0.00003071227,0.00021524668,0.00010888351,0.7790235,0.002923994,0.21497603,0.0023678143,0.000015240751],"about_ca_topic_score_codex":0.0019887034,"about_ca_topic_score_gemma":0.0012674598,"teacher_disagreement_score":0.00278131,"about_ca_system_score_codex":0.0010877905,"about_ca_system_score_gemma":0.00074628886,"threshold_uncertainty_score":0.014709175},"labels":[],"label_agreement":null},{"id":"W2296324216","doi":"10.5220/0005642404410446","title":"Facilitating Ontology Co-evolution with Ontology Instance Migration","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ontology; Ontology components; Vocabulary; Computer science; Process ontology; Ontology-based data integration; Upper ontology; Open Biomedical Ontologies; Natural language processing; IDEF5; Information retrieval; Suggested Upper Merged Ontology; Artificial intelligence; Semantic Web; Linguistics; Epistemology","score_opus":0.039579182481672984,"score_gpt":0.272795225690971,"score_spread":0.233216043209298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296324216","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046843495,0.0002472979,0.9164968,0.00097021955,0.0003995743,0.00064883014,0.00023825336,0.020037936,0.014117594],"genre_scores_gemma":[0.2516991,0.0003215171,0.7324787,0.00057997915,0.000085628635,0.0003633476,0.0017367776,0.0033289415,0.0094060805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959437,0.0010954393,0.0004858739,0.0008331334,0.0012316494,0.0004102361],"domain_scores_gemma":[0.98811835,0.0028740622,0.00064828055,0.0063365703,0.0014822063,0.00054053473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005168852,0.00082170404,0.0006545185,0.0014572706,0.0011921047,0.0036018398,0.0027928913,0.0013328323,0.0027107592],"category_scores_gemma":[0.023498682,0.00076538965,0.0012622813,0.0015818035,0.0007804073,0.006592076,0.008992629,0.0031860296,0.0015800678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006312709,0.0014543114,0.016126895,0.00052784255,0.0002881406,0.0022143163,0.007162797,0.024767987,0.072395764,0.078619935,0.03347958,0.7623312],"study_design_scores_gemma":[0.00015353225,0.00016320932,0.005016203,0.0002637369,0.0002622026,0.002126761,0.0023887267,0.44813544,0.16789165,0.06894502,0.3044497,0.00020373672],"about_ca_topic_score_codex":0.0030435189,"about_ca_topic_score_gemma":0.0051809414,"teacher_disagreement_score":0.005168852,"about_ca_system_score_codex":0.00076176855,"about_ca_system_score_gemma":0.0020725864,"threshold_uncertainty_score":0.027335823},"labels":[],"label_agreement":null},{"id":"W2296636494","doi":"","title":"Full syntactic parsing for enrichment of RDF dataset","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; RDF; Parsing; Natural language processing; RDF Schema; Artificial intelligence; Information extraction; Linked data; SPARQL; Information retrieval; Semantic Web","score_opus":0.02939461601737767,"score_gpt":0.2752731425125588,"score_spread":0.24587852649518113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296636494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013360347,0.0005414606,0.8115623,0.0016569776,0.00031696432,0.0011517251,0.06466931,0.094079494,0.012661416],"genre_scores_gemma":[0.07813594,0.00045620993,0.7800718,0.0008583052,0.00008835493,0.0009254768,0.12840508,0.008113396,0.002945351],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9962741,0.0012824347,0.0005368683,0.000682598,0.0010553226,0.00016865897],"domain_scores_gemma":[0.9896087,0.004902888,0.0005095937,0.003262673,0.0016036964,0.00011241294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053816494,0.0014095871,0.00088339346,0.0056345277,0.0016102714,0.0025220322,0.0015924452,0.0013046091,0.008275248],"category_scores_gemma":[0.017249478,0.0011773193,0.00250062,0.0044130664,0.001193493,0.0054911617,0.0038322757,0.002466259,0.005083516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058372493,0.0005684834,0.01057523,0.0034224873,0.00048496356,0.0023556603,0.0019906745,0.03141187,0.038680058,0.15654305,0.2592829,0.4941009],"study_design_scores_gemma":[0.0001477505,0.000091329304,0.0054668267,0.0010594773,0.00025352757,0.0010608154,0.00071739045,0.2708394,0.085428946,0.20217146,0.43248308,0.00027995498],"about_ca_topic_score_codex":0.0057787313,"about_ca_topic_score_gemma":0.009936029,"teacher_disagreement_score":0.008275248,"about_ca_system_score_codex":0.0016098284,"about_ca_system_score_gemma":0.0032451877,"threshold_uncertainty_score":0.028461218},"labels":[],"label_agreement":null},{"id":"W2299227105","doi":"","title":"Interoperation of Knowledge Domain Taxonomies Using Ontology Mappings","year":2005,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Interoperation; Ontology; Computer science; Domain (mathematical analysis); Knowledge management; Information retrieval; World Wide Web; Interoperability; Mathematics; Epistemology","score_opus":0.09725959405433704,"score_gpt":0.3074162767821037,"score_spread":0.21015668272776666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299227105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034167,0.0005757769,0.9406592,0.0010415448,0.00018938263,0.0006334546,0.0036886835,0.009987309,0.009057643],"genre_scores_gemma":[0.12235743,0.0009885405,0.8499607,0.0003803436,0.000036974216,0.00058429607,0.020115044,0.0013679417,0.0042086793],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99437296,0.0017302893,0.0013314956,0.0008145008,0.0014939159,0.0002567515],"domain_scores_gemma":[0.9844945,0.005568059,0.0006976079,0.006082979,0.0026722287,0.00048466874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008465592,0.0006586378,0.001270375,0.010234662,0.0016747324,0.0059062066,0.0022826728,0.0013630865,0.0038316008],"category_scores_gemma":[0.022393882,0.0009979155,0.003169495,0.0076191113,0.0010244324,0.010897439,0.006464549,0.002253695,0.0014761349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004666745,0.0007033587,0.010672471,0.0012023654,0.00061396003,0.0010774892,0.008727571,0.008820316,0.019511176,0.20946424,0.021335986,0.7174044],"study_design_scores_gemma":[0.00015876268,0.00016589528,0.0094519425,0.0020427315,0.0008892435,0.001251875,0.0072611133,0.1717391,0.048950143,0.4308473,0.3269329,0.00030899027],"about_ca_topic_score_codex":0.0073840334,"about_ca_topic_score_gemma":0.01309794,"teacher_disagreement_score":0.010234662,"about_ca_system_score_codex":0.0013545752,"about_ca_system_score_gemma":0.0032236576,"threshold_uncertainty_score":0.044770837},"labels":[],"label_agreement":null},{"id":"W2301993794","doi":"","title":"Cybersemiotics: Why Information Is Not Enough (Toronto Studies in Semiotics and Communication)","year":2008,"lang":"en","type":"book","venue":"University of Toronto Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Semiotics; Autopoiesis; Epistemology; Cybernetics; Biosemiotics; Sociology; Semiosis; Information science; Cognitive science; Computer science; Social science; Psychology; Philosophy","score_opus":0.04300227005751003,"score_gpt":0.24569148764229748,"score_spread":0.20268921758478745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301993794","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006598801,0.2729931,0.02153318,0.06906748,0.0035107918,0.000036811332,0.00017199953,0.00014959177,0.62593836],"genre_scores_gemma":[0.49314705,0.1459468,0.017027937,0.013844977,0.00323274,0.00018356212,0.00027046006,0.0003162276,0.32603014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991321,0.00040730904,0.000030088946,0.00008780085,0.00026919763,0.00007344807],"domain_scores_gemma":[0.99924076,0.00044551145,0.000038284994,0.000086516,0.000110112975,0.00007893494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418364,0.00054533227,0.00031587027,0.0015096549,0.0030387698,0.0061612143,0.00048175902,0.0017493082,0.0031107822],"category_scores_gemma":[0.0018611808,0.00028039698,0.0002774082,0.0024234601,0.01925504,0.009059557,0.0018611036,0.002295591,0.0011239771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022467646,0.000001855152,0.000024605868,0.000036223202,9.82927e-7,0.000027068416,0.0034088478,0.00007417606,0.00004108131,0.97062665,0.019844307,0.0059119873],"study_design_scores_gemma":[0.0000034696395,0.000005145234,0.00019663888,0.00014336569,0.0000027569727,0.00010666944,0.0015130878,0.00017337293,0.00008005539,0.42275038,0.5750195,0.000005537615],"about_ca_topic_score_codex":0.019158293,"about_ca_topic_score_gemma":0.024391929,"teacher_disagreement_score":0.019158293,"about_ca_system_score_codex":0.008387078,"about_ca_system_score_gemma":0.003886398,"threshold_uncertainty_score":0.060852766},"labels":[],"label_agreement":null},{"id":"W2305184760","doi":"10.2166/wpt.2007.086","title":"The Creation of a Regional Voice: The Care and Feeding of the Northwest Biosolids Management Association","year":2007,"lang":"en","type":"article","venue":"Water Practice & Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biosolids; Sewage sludge; Business; Engineering; Waste management; Sewage treatment","score_opus":0.008373783949766438,"score_gpt":0.256412218778124,"score_spread":0.24803843482835755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305184760","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037667383,0.004700565,0.011086195,0.7363816,0.010884268,0.00003964067,0.000102725004,0.0006196629,0.19851795],"genre_scores_gemma":[0.34789547,0.0059151803,0.02021625,0.115474306,0.0024918132,0.00008598537,0.00021517901,0.0013494407,0.5063563],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99457437,0.0026497608,0.00014145458,0.00059091905,0.0012120334,0.00083150715],"domain_scores_gemma":[0.98951155,0.0017762904,0.0006716726,0.0008094037,0.0030150905,0.0042159846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007799772,0.00027275362,0.0002762727,0.0004349824,0.013648263,0.008314025,0.0010669703,0.003114702,0.013495952],"category_scores_gemma":[0.013451933,0.00037522535,0.00021194718,0.00052875624,0.0046670116,0.0057817562,0.0053684064,0.006410937,0.004752612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004568282,0.000051485178,0.0034454556,0.000049659026,0.000009982427,0.00077680417,0.041971937,0.00018438272,0.0020093531,0.035864297,0.7895355,0.12605548],"study_design_scores_gemma":[0.0000020779546,0.000010024456,0.0007720347,0.000050429717,0.0000027469655,0.00015187831,0.022698028,0.00011861053,0.0001705176,0.0018774602,0.9741242,0.00002200027],"about_ca_topic_score_codex":0.06342539,"about_ca_topic_score_gemma":0.11797516,"teacher_disagreement_score":0.06342539,"about_ca_system_score_codex":0.0054222224,"about_ca_system_score_gemma":0.014999065,"threshold_uncertainty_score":0.1261124},"labels":[],"label_agreement":null},{"id":"W2306742065","doi":"10.4018/ijcini.2015100104","title":"A Role-Permission Assignment Method of RBAC Involved Conflicting Constraints under E-CARGO","year":2015,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Permission; Computer science; Role-based access control; Correctness; Ontology; Computer security; Distributed computing; Access control; Programming language; Law","score_opus":0.05208434666394473,"score_gpt":0.36117288950869075,"score_spread":0.309088542844746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306742065","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015966762,0.00006832667,0.97995627,0.00016429121,0.000027068047,0.00013875522,0.000028367314,0.00079781597,0.002852341],"genre_scores_gemma":[0.3905266,0.00012035532,0.6035599,0.00010602446,0.00003416744,0.00018076196,0.00008809238,0.00016286063,0.005221313],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982615,0.00049860537,0.00013770396,0.0003749123,0.00053812395,0.00018920776],"domain_scores_gemma":[0.9986588,0.00041561972,0.00010500564,0.0003756604,0.00033851704,0.00010629571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001849865,0.0005231388,0.00073667103,0.000641432,0.0015213041,0.0015330549,0.0015151945,0.001068175,0.0043478487],"category_scores_gemma":[0.0033100606,0.00039537405,0.00086485007,0.00093898975,0.0011555095,0.0032884425,0.0017308671,0.0013748738,0.00057466317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006148625,0.00040860396,0.0035394607,0.0004500288,0.00013581861,0.0008411671,0.0032319736,0.18383126,0.03968912,0.28066283,0.0068286113,0.47976628],"study_design_scores_gemma":[0.0001072967,0.000083891086,0.0004043398,0.000028224747,0.00005669722,0.00027755,0.00039990837,0.9402897,0.017940082,0.028594417,0.01174782,0.00007012071],"about_ca_topic_score_codex":0.008334348,"about_ca_topic_score_gemma":0.0059321346,"teacher_disagreement_score":0.008334348,"about_ca_system_score_codex":0.00096766796,"about_ca_system_score_gemma":0.002578069,"threshold_uncertainty_score":0.016571641},"labels":[],"label_agreement":null},{"id":"W2314289324","doi":"10.1300/j123v51n02_07","title":"Automatic Categorization","year":2006,"lang":"en","type":"article","venue":"The Serials Librarian","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Categorization; Metadata; Computer science; Information retrieval; Presentation (obstetrics); Process (computing); World Wide Web; Automation; Software; Data science; Artificial intelligence; Engineering","score_opus":0.00858137680342916,"score_gpt":0.19152700896647729,"score_spread":0.18294563216304813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314289324","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0125594195,0.00229242,0.84017354,0.0012620456,0.0013289064,0.0013325637,0.007803518,0.028823746,0.104423806],"genre_scores_gemma":[0.10852169,0.0019080519,0.75515974,0.0013076495,0.0005228613,0.0010749397,0.034114104,0.002633374,0.094757564],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99527586,0.00067932287,0.0003759898,0.0013273881,0.0019978676,0.00034356205],"domain_scores_gemma":[0.99452955,0.0012144352,0.00022138833,0.0017582802,0.0021113674,0.00016498944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028466661,0.0015252125,0.0011691862,0.008542642,0.0027202542,0.005171741,0.002921606,0.0018797884,0.040641982],"category_scores_gemma":[0.00937886,0.0005225975,0.001571264,0.005599271,0.0011127993,0.0060509364,0.003607298,0.0012681361,0.039866686],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018591886,0.00014719137,0.002292559,0.0004955652,0.00007230024,0.00016836269,0.00041614726,0.0012239609,0.009873445,0.033249248,0.10933437,0.8425409],"study_design_scores_gemma":[0.00005839973,0.00016578061,0.005490502,0.00038007644,0.000114266884,0.0014418049,0.0012254869,0.044350885,0.0276651,0.13010117,0.7888594,0.00014714153],"about_ca_topic_score_codex":0.0029495107,"about_ca_topic_score_gemma":0.0036270942,"teacher_disagreement_score":0.040641982,"about_ca_system_score_codex":0.0013234352,"about_ca_system_score_gemma":0.0024926898,"threshold_uncertainty_score":0.135961},"labels":[],"label_agreement":null},{"id":"W2320954282","doi":"10.29173/jchla/jabsc.v32i3.27562","title":"Information overload in healthcare management: How the READ Portal is helping healthcare managers","year":2016,"lang":"en","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information overload; Negotiation; Health care; Productivity; Information needs; Health information; Quality (philosophy); Business; Patient portal; Knowledge management; Computer science; World Wide Web; Information system; Public relations; Internet privacy; Political science","score_opus":0.00569207909568585,"score_gpt":0.2214671677882808,"score_spread":0.21577508869259496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320954282","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11895253,0.011105683,0.023151977,0.6682623,0.0038458528,0.00017704762,0.00031681661,0.0029129093,0.17127487],"genre_scores_gemma":[0.8559253,0.011477344,0.042604297,0.048998956,0.002782029,0.00024412308,0.0004963617,0.00075496966,0.03671649],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.97241014,0.021579167,0.00084696244,0.00074056356,0.0032139055,0.0012092625],"domain_scores_gemma":[0.9351122,0.04009084,0.0030133121,0.003430152,0.0067221723,0.011631233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03437068,0.00051738316,0.0006430605,0.0036674945,0.007977414,0.024375848,0.0014694723,0.00505744,0.012281544],"category_scores_gemma":[0.058530256,0.0006524359,0.00068639644,0.00317347,0.0058370107,0.02471001,0.013823932,0.0049546035,0.0036406955],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032560516,0.00091444596,0.024039127,0.001217242,0.000114727125,0.0012635165,0.09691593,0.00088741345,0.0007401547,0.075128995,0.35545635,0.44299647],"study_design_scores_gemma":[0.00017373732,0.00043688723,0.0065962593,0.0020242848,0.00011523192,0.00083633326,0.1041268,0.0032949764,0.00080280023,0.081110485,0.80029505,0.0001872044],"about_ca_topic_score_codex":0.006497873,"about_ca_topic_score_gemma":0.01256593,"teacher_disagreement_score":0.03437068,"about_ca_system_score_codex":0.0064903046,"about_ca_system_score_gemma":0.015197032,"threshold_uncertainty_score":0.1817717},"labels":[],"label_agreement":null},{"id":"W2324906339","doi":"10.5121/cseij.2013.3201","title":"Using Ontologies to Overcoming Drawbacks of Databases and Vice Versa: A Survey","year":2013,"lang":"en","type":"article","venue":"Computer Science & Engineering An International Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Versa; Computer science; Database; Data science; Information retrieval; World Wide Web","score_opus":0.0520184871710478,"score_gpt":0.32652868153625175,"score_spread":0.27451019436520396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324906339","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058643804,0.7787755,0.16212226,0.011646846,0.0012071156,0.00013177132,0.000104537154,0.00038008034,0.039767545],"genre_scores_gemma":[0.042572368,0.8376127,0.104055464,0.0046903878,0.0020402006,0.0001641308,0.00029649702,0.00018462524,0.008383658],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945146,0.0016288257,0.00059107493,0.0006990819,0.002260842,0.0003055524],"domain_scores_gemma":[0.99236804,0.0048355893,0.00040062395,0.0008310246,0.0013235717,0.00024114504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062926174,0.0009224636,0.0013646609,0.008185951,0.0012648416,0.007214753,0.0023474277,0.0031734444,0.0028711094],"category_scores_gemma":[0.0064227846,0.0009960448,0.0014112158,0.012182759,0.0041183187,0.023838323,0.0040865694,0.0031066816,0.0013189204],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048593003,0.00014048921,0.0017426678,0.004748652,0.000107320826,0.00030608184,0.0016621524,0.0013843987,0.0014453038,0.25945842,0.016462723,0.7124933],"study_design_scores_gemma":[0.0000127196845,0.0000688346,0.00090140314,0.002100972,0.00007056783,0.0015837076,0.0020884736,0.0034059044,0.0014256781,0.094650134,0.89361435,0.0000772284],"about_ca_topic_score_codex":0.0031946641,"about_ca_topic_score_gemma":0.0017685394,"teacher_disagreement_score":0.008185951,"about_ca_system_score_codex":0.0020206517,"about_ca_system_score_gemma":0.0024896776,"threshold_uncertainty_score":0.033278883},"labels":[],"label_agreement":null},{"id":"W2330203468","doi":"10.5840/monist200790438","title":"The Ecology of Ontologies in the Public Domain","year":2007,"lang":"en","type":"article","venue":"The Monist","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Waterloo","funders":"","keywords":"Monism; Library science; Public domain; Domain (mathematical analysis); Sociology; Computer science; History; Philosophy; Archaeology; Epistemology","score_opus":0.02358677585370142,"score_gpt":0.26718072138784793,"score_spread":0.2435939455341465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330203468","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036747,0.03601434,0.089141585,0.39449158,0.0014204404,0.000052793985,0.00029787226,0.0003403067,0.44149417],"genre_scores_gemma":[0.9027238,0.02673577,0.02363366,0.015755557,0.003014812,0.00018829417,0.00027047985,0.00037574227,0.027302003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99267983,0.0040108687,0.00021780226,0.0007968152,0.0017981356,0.0004965084],"domain_scores_gemma":[0.9807551,0.013625202,0.0008034029,0.0017449424,0.0019031633,0.0011681854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007351455,0.00031503176,0.00077621685,0.004833654,0.0072307438,0.018725347,0.0010342519,0.00455956,0.0063787876],"category_scores_gemma":[0.017268986,0.00080276147,0.0004410843,0.0062859217,0.035816945,0.04474827,0.008849751,0.006054081,0.0012811823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063201755,0.000010368721,0.00028682366,0.000018218332,0.0000036682259,0.000024295176,0.00083043793,0.00021703902,0.00003059738,0.9834699,0.0066464217,0.008456039],"study_design_scores_gemma":[0.000006152342,0.0000034163545,0.00026622892,0.00007231213,0.0000024889423,0.000044280812,0.0010860157,0.0007181713,0.000066315646,0.923138,0.07458921,0.000007416273],"about_ca_topic_score_codex":0.0130202705,"about_ca_topic_score_gemma":0.011804585,"teacher_disagreement_score":0.018725347,"about_ca_system_score_codex":0.008677938,"about_ca_system_score_gemma":0.0071994467,"threshold_uncertainty_score":0.06296319},"labels":[],"label_agreement":null},{"id":"W2334957609","doi":"10.2174/2210327911202010014","title":"Sensors Tell More than They Sense: Modeling and Reasoning about Sensor Observations for Understanding Weather Events","year":2012,"lang":"en","type":"article","venue":"International Journal of Sensors Wireless Communications and Control","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Ontology; Computer science; Terminology; Set (abstract data type); Timeline; Representation (politics); Event (particle physics); Information retrieval; Knowledge representation and reasoning; Data science; Artificial intelligence; Remote sensing; Geography","score_opus":0.07134699291213548,"score_gpt":0.3077453919510511,"score_spread":0.23639839903891563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334957609","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020301439,0.0004568582,0.9715865,0.0020577968,0.00008139715,0.00016744943,0.0009687782,0.00092549477,0.003454328],"genre_scores_gemma":[0.35299185,0.0010084689,0.64138246,0.00043746587,0.000089821566,0.00034413786,0.0022395316,0.00014013247,0.0013660742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971855,0.00097617373,0.0003877709,0.0004586418,0.0008458028,0.00014614154],"domain_scores_gemma":[0.99454075,0.003565291,0.0005270734,0.00067388546,0.0005228198,0.00017013357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043489635,0.0009467752,0.000707611,0.0025512194,0.0014161537,0.0041972324,0.0026105882,0.0017810363,0.0014766825],"category_scores_gemma":[0.013825569,0.0008053776,0.0021353767,0.0028452359,0.0025145556,0.009381611,0.002423603,0.0022010752,0.0003353909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025061733,0.00031740073,0.010291055,0.00056886935,0.00031466037,0.0017319076,0.006276979,0.33857307,0.0046915123,0.5291305,0.008820468,0.09903297],"study_design_scores_gemma":[0.000042711188,0.00002623565,0.0010296092,0.00011105001,0.00016488215,0.00022022445,0.000947944,0.76360995,0.0026657076,0.21494852,0.016182212,0.00005098321],"about_ca_topic_score_codex":0.04384369,"about_ca_topic_score_gemma":0.049314745,"teacher_disagreement_score":0.04384369,"about_ca_system_score_codex":0.0016668942,"about_ca_system_score_gemma":0.0024244436,"threshold_uncertainty_score":0.08717698},"labels":[],"label_agreement":null},{"id":"W2336645439","doi":"","title":"A document interoperation framework on the semantic web (difsew)","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Interoperation; Semantics (computer science); Information retrieval; Semantic Web; Information extraction; Ontology; World Wide Web; Interoperability","score_opus":0.04511929016845825,"score_gpt":0.247094722216886,"score_spread":0.20197543204842774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336645439","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011335314,0.00065314263,0.98396945,0.0012264466,0.00016514063,0.00043052548,0.00046367123,0.002800397,0.009157675],"genre_scores_gemma":[0.019728659,0.0014507412,0.96928656,0.00048199054,0.000114798975,0.000790797,0.002356604,0.00050989003,0.0052800025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99216366,0.0026103118,0.0012906524,0.0009378545,0.0024723366,0.00052526855],"domain_scores_gemma":[0.99681854,0.0010390821,0.00023191623,0.000926216,0.00068135303,0.00030277652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01264274,0.0014831228,0.0017479738,0.0075530047,0.0027942013,0.010337276,0.0044936696,0.0040567205,0.0038414854],"category_scores_gemma":[0.0074822446,0.0013207971,0.004215698,0.007158592,0.0044625993,0.016609611,0.008395005,0.0046778442,0.0026113582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004189444,0.00008942442,0.00022036253,0.00024859834,0.000062836145,0.00036365367,0.00074952876,0.0076753064,0.0011932756,0.9211643,0.008490589,0.05970039],"study_design_scores_gemma":[0.00005880395,0.000056881145,0.0002529628,0.0003816116,0.00006859272,0.00049710035,0.00058653316,0.06251548,0.0028090458,0.6179139,0.31477413,0.00008505914],"about_ca_topic_score_codex":0.011602764,"about_ca_topic_score_gemma":0.012444514,"teacher_disagreement_score":0.01264274,"about_ca_system_score_codex":0.002510968,"about_ca_system_score_gemma":0.0063638235,"threshold_uncertainty_score":0.06686199},"labels":[],"label_agreement":null},{"id":"W2339866803","doi":"10.1371/journal.pone.0065848.g002","title":"An EcoData Retriever dataset script file.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Computer science; Medicine; Surgery","score_opus":0.1084338173877563,"score_gpt":0.32247403471639075,"score_spread":0.21404021732863443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339866803","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030575568,0.000032062224,0.00403234,0.00018706931,0.000096942604,0.00018279703,0.9514432,0.033945728,0.009774144],"genre_scores_gemma":[0.0014886244,0.00004943747,0.005923737,0.00023558007,0.000034740704,0.0004069601,0.9698257,0.013554125,0.008481085],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988778,0.00011119103,0.00015858961,0.00028505895,0.00044396528,0.0001233615],"domain_scores_gemma":[0.99468637,0.0012451406,0.00029098766,0.0015305972,0.0018496381,0.00039722538],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017658367,0.0019182374,0.0010182739,0.0046824445,0.0009457353,0.0028468352,0.0025225,0.0012076729,0.3006371],"category_scores_gemma":[0.007635353,0.001301938,0.0014436906,0.0056216167,0.00039928313,0.0037274556,0.003083956,0.0017205931,0.27221453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006402197,0.000022014376,0.00037601686,0.00021492368,0.00001313824,0.000048647038,0.00004130582,0.000087209075,0.00055775413,0.0005231122,0.99060225,0.007449538],"study_design_scores_gemma":[0.00013021188,0.000017968921,0.0027037673,0.000107239175,0.000016083397,0.00011380321,0.000112283495,0.00062585145,0.0029337879,0.002030373,0.99116313,0.000045489018],"about_ca_topic_score_codex":0.010550215,"about_ca_topic_score_gemma":0.014643178,"teacher_disagreement_score":0.3006371,"about_ca_system_score_codex":0.0012776161,"about_ca_system_score_gemma":0.001794786,"threshold_uncertainty_score":0.9975563},"labels":[],"label_agreement":null},{"id":"W2340479173","doi":"10.22215/etd/2010-08619","title":"A mediator-based data integration system for query answering using an optimized extended inverse rules algorithm","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Inverse; Computer science; Information retrieval; Algorithm; Mathematics","score_opus":0.06321386339395071,"score_gpt":0.3245267093039594,"score_spread":0.2613128459100087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340479173","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009595015,0.00021218407,0.9708791,0.00020432082,0.000054587672,0.00019930262,0.00041006756,0.01653224,0.0019131692],"genre_scores_gemma":[0.07252944,0.0001442064,0.92062926,0.00013418753,0.000025819767,0.00022489119,0.0019840137,0.0008381272,0.003489996],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988288,0.00023062454,0.00015438118,0.0002805032,0.00042501197,0.00008062767],"domain_scores_gemma":[0.9989542,0.00036970747,0.000040874755,0.00027781609,0.0003033945,0.000053996784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021700738,0.000711706,0.0013716285,0.0016723536,0.0010659829,0.0028787928,0.002743593,0.0013228366,0.009317901],"category_scores_gemma":[0.0042071613,0.0006580022,0.0011854995,0.0018817057,0.0004094287,0.0027669102,0.0024884215,0.0012327912,0.0039384477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022869492,0.00087468675,0.0036039923,0.0004710034,0.0005171214,0.0009882579,0.0008213842,0.03128158,0.0794954,0.038775973,0.032309655,0.808574],"study_design_scores_gemma":[0.00046590512,0.00020162758,0.0011786793,0.0000583621,0.00036975832,0.0006616336,0.000323563,0.87982833,0.053590257,0.030190613,0.033036843,0.00009443878],"about_ca_topic_score_codex":0.0053616455,"about_ca_topic_score_gemma":0.0062545785,"teacher_disagreement_score":0.009317901,"about_ca_system_score_codex":0.0005838931,"about_ca_system_score_gemma":0.0015897925,"threshold_uncertainty_score":0.0311715},"labels":[],"label_agreement":null},{"id":"W2341752294","doi":"10.14288/1.0107827","title":"Proceedings of the ISAC Workshop, Lake Louise, Alberta , February 17, 18 and 21, 1994","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Meteorology; Environmental science; Geography; Library science; Computer science","score_opus":0.015629648608009344,"score_gpt":0.18244682785497746,"score_spread":0.16681717924696812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341752294","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029821148,0.029323004,0.03426626,0.074897036,0.027174404,0.00081013865,0.0145812165,0.0042663063,0.78486043],"genre_scores_gemma":[0.02427211,0.0068526734,0.0140410215,0.0014231721,0.0009615678,0.00014490917,0.011243941,0.0007711338,0.94028944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870944,0.00023782208,0.0000373519,0.00013678323,0.00065345154,0.00022507676],"domain_scores_gemma":[0.99764866,0.00028912767,0.000041315645,0.00016117598,0.0012523636,0.0006074032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034856712,0.0010992995,0.0008184079,0.0016103988,0.0051207086,0.0061460705,0.0022390555,0.0017644764,0.08205751],"category_scores_gemma":[0.0031998707,0.0006127102,0.0006665445,0.002925701,0.0023799082,0.0024945328,0.0017590943,0.0021582309,0.025322493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014365166,0.00007588674,0.0006204967,0.000079222955,0.00001074333,0.000101939884,0.00063055195,0.00032066146,0.00048815506,0.0052190977,0.94679594,0.045513555],"study_design_scores_gemma":[0.000014303198,0.000009573308,0.0019053034,0.0000802458,0.000013941027,0.00003762548,0.001216375,0.00032533446,0.00040433736,0.001387359,0.9945884,0.00001715932],"about_ca_topic_score_codex":0.5890442,"about_ca_topic_score_gemma":0.8202649,"teacher_disagreement_score":0.5890442,"about_ca_system_score_codex":0.015760992,"about_ca_system_score_gemma":0.017981855,"threshold_uncertainty_score":0.82675195},"labels":[],"label_agreement":null},{"id":"W2342124459","doi":"10.3166/isi.21.1.11-37","title":"OLAP de documents. Modélisation et mise en œuvre","year":2016,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Online analytical processing; Mod; Computer science; Data warehouse; Artificial intelligence; Database","score_opus":0.022841882406571812,"score_gpt":0.26105989125586954,"score_spread":0.23821800884929772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342124459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021335576,0.021384785,0.9193714,0.0049344897,0.0008279709,0.0003710628,0.009089627,0.01015775,0.01252744],"genre_scores_gemma":[0.21748942,0.020050498,0.71774745,0.0010601574,0.00045283325,0.00050803693,0.0210944,0.0012449666,0.020352224],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99427795,0.0013681736,0.00069714454,0.0008118492,0.0026620957,0.00018264019],"domain_scores_gemma":[0.9940737,0.0024100577,0.00052830786,0.0013559561,0.0014690032,0.00016306262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040833047,0.0012952801,0.0010806229,0.004449119,0.0011511573,0.009670714,0.0018816073,0.0019150885,0.002298944],"category_scores_gemma":[0.010911263,0.00091085635,0.001481865,0.008169518,0.0013723877,0.008799115,0.0021176552,0.0022158404,0.0029863124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004056749,0.00025001104,0.0049351896,0.0018696235,0.00029035346,0.0008559874,0.0014151805,0.038316123,0.006101275,0.115329504,0.033055797,0.7971753],"study_design_scores_gemma":[0.00006729539,0.00013820856,0.0047924262,0.0010719589,0.00027139214,0.0026896282,0.0024751846,0.33671182,0.02877391,0.33464155,0.28814074,0.00022593809],"about_ca_topic_score_codex":0.01626882,"about_ca_topic_score_gemma":0.008111773,"teacher_disagreement_score":0.01626882,"about_ca_system_score_codex":0.0021785537,"about_ca_system_score_gemma":0.002949741,"threshold_uncertainty_score":0.032348275},"labels":[],"label_agreement":null},{"id":"W2343654652","doi":"","title":"City Knowledge Patterns: A Standard for Smart City Knowledge Management","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart city; Knowledge management; Computer science; Knowledge extraction; Knowledge engineering; Knowledge-based systems; Open Knowledge Base Connectivity; Personal knowledge management; Set (abstract data type); Data science; Organizational learning; Data mining; Computer security","score_opus":0.035157043102631146,"score_gpt":0.29345177499171343,"score_spread":0.2582947318890823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343654652","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055916845,0.0006439987,0.9321934,0.0049829967,0.0007711474,0.0012621026,0.012514876,0.014113738,0.027926048],"genre_scores_gemma":[0.051921114,0.0019783727,0.8807805,0.0031123373,0.00031021182,0.002709978,0.042557824,0.0029183382,0.013711371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9866345,0.002106144,0.0045141205,0.0015053799,0.0046324963,0.00060736394],"domain_scores_gemma":[0.9836642,0.0028285505,0.0020624008,0.0062434203,0.004335837,0.0008655323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010302615,0.0012005566,0.0013965919,0.0087003885,0.0029098091,0.008936864,0.0034361945,0.0041535725,0.0049860105],"category_scores_gemma":[0.022149991,0.0014314661,0.0016507973,0.014283578,0.0032610868,0.013013299,0.0062104734,0.0066301753,0.006194883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002376561,0.00029937155,0.003277836,0.0011272522,0.00013892984,0.0005766631,0.0020391948,0.005407207,0.005647972,0.67771155,0.12866586,0.17487046],"study_design_scores_gemma":[0.00008231608,0.00008792511,0.0020569349,0.00095979735,0.000106494954,0.0011082899,0.00084744167,0.0203888,0.007432671,0.20478033,0.7620222,0.00012683864],"about_ca_topic_score_codex":0.012543691,"about_ca_topic_score_gemma":0.012696961,"teacher_disagreement_score":0.012543691,"about_ca_system_score_codex":0.003111309,"about_ca_system_score_gemma":0.0071846154,"threshold_uncertainty_score":0.054486096},"labels":[],"label_agreement":null},{"id":"W2344018033","doi":"10.3166/ria.29.705-736","title":"Un moteur de raisonnement sémantique pour des interactions 3D sensibles au contexte","year":2015,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.12672411884414395,"score_gpt":0.32437823226764856,"score_spread":0.1976541134235046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344018033","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007982276,0.00065379514,0.9765188,0.0012181266,0.0002913445,0.000116414325,0.0005784504,0.0033247734,0.009316008],"genre_scores_gemma":[0.13968249,0.0016010122,0.8266987,0.00065955933,0.00027932227,0.0003741231,0.0023372797,0.0012749193,0.027092537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725574,0.00069711247,0.00018959667,0.0006767128,0.0010408855,0.00013991797],"domain_scores_gemma":[0.9983033,0.00075124035,0.00008206337,0.00028002265,0.00049295626,0.00009035687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002400027,0.001665728,0.001350248,0.0022139119,0.002449318,0.007064886,0.0014679072,0.0034634876,0.010400803],"category_scores_gemma":[0.004862987,0.0010160577,0.0026938592,0.0016529779,0.0028902283,0.005648413,0.0019364533,0.0039323187,0.00310307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005890155,0.00014423822,0.0024424447,0.0010326272,0.00017484346,0.00076060044,0.0022056622,0.060599,0.04201633,0.5308324,0.024404364,0.33479843],"study_design_scores_gemma":[0.00014820903,0.00016746287,0.0028728594,0.00053352077,0.00012850064,0.0008649406,0.0014605765,0.6010782,0.033498622,0.16070022,0.19835055,0.00019624342],"about_ca_topic_score_codex":0.0239118,"about_ca_topic_score_gemma":0.015966672,"teacher_disagreement_score":0.0239118,"about_ca_system_score_codex":0.002389169,"about_ca_system_score_gemma":0.002184781,"threshold_uncertainty_score":0.047545254},"labels":[],"label_agreement":null},{"id":"W2344030607","doi":"10.1109/bhi.2016.7455950","title":"A semantic web-based approach to plausible reasoning for improving clinical knowledge engineering","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Semantic Web; Exploit; Leverage (statistics); Knowledge base; Domain knowledge; Model-based reasoning; Data science; Domain (mathematical analysis); Knowledge engineering; Knowledge management; Artificial intelligence; Knowledge representation and reasoning","score_opus":0.03989244793532671,"score_gpt":0.2971412972590836,"score_spread":0.2572488493237569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344030607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021826776,0.00058846874,0.9918875,0.002048874,0.00004764068,0.00011150738,0.00017823877,0.00040557576,0.0025494713],"genre_scores_gemma":[0.08249403,0.0008985852,0.91433686,0.0006964357,0.00013054743,0.00018667878,0.0005307197,0.00011346377,0.00061270874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98324525,0.008223821,0.0017539408,0.0015933797,0.0048664,0.00031721772],"domain_scores_gemma":[0.956656,0.031922054,0.0014727889,0.005478346,0.003979349,0.00049156655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017048521,0.0011614398,0.0012322917,0.008307474,0.001429663,0.005782864,0.003450958,0.0023203306,0.00532172],"category_scores_gemma":[0.057035558,0.0009886628,0.0037573178,0.005020909,0.0034915826,0.011556135,0.0066029103,0.0039277603,0.0011048185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023517787,0.00040915792,0.0029735123,0.0013644738,0.00056285266,0.0014551799,0.0015893767,0.09235083,0.0076058195,0.5427627,0.004979998,0.34371096],"study_design_scores_gemma":[0.000071942304,0.000092188646,0.00048508728,0.00036862024,0.00022901798,0.00077866676,0.00032400445,0.23673485,0.008428524,0.7112356,0.041163173,0.00008833379],"about_ca_topic_score_codex":0.0026737459,"about_ca_topic_score_gemma":0.0024635189,"teacher_disagreement_score":0.017048521,"about_ca_system_score_codex":0.0017401302,"about_ca_system_score_gemma":0.0031407229,"threshold_uncertainty_score":0.09016228},"labels":[],"label_agreement":null},{"id":"W2344807147","doi":"10.1145/2833219.2833220","title":"Interview with Jamie Blustein","year":2015,"lang":"en","type":"article","venue":"ACM SIGWEB Newsletter","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hypertext; Computer science; World Wide Web; Library science","score_opus":0.07876053255241952,"score_gpt":0.26083707559219027,"score_spread":0.18207654303977075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344807147","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022882004,0.0036548916,0.00012604783,0.9775138,0.004056806,0.00002632285,0.00008334224,0.00003603054,0.012214586],"genre_scores_gemma":[0.025027338,0.003941252,0.000326465,0.91040933,0.0012314388,0.00015476378,0.00006980841,0.000091506954,0.058748104],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748176,0.00076767727,0.00007540437,0.00028060458,0.0005636018,0.00083097187],"domain_scores_gemma":[0.9908071,0.0035179993,0.0003663087,0.00012865453,0.0019375714,0.0032424692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054202736,0.0006050887,0.0009775502,0.0015142427,0.017951787,0.0043106256,0.0014372886,0.008514938,0.030331304],"category_scores_gemma":[0.02178612,0.0007716844,0.00039494855,0.0015400398,0.003913203,0.0054377173,0.004064934,0.023020517,0.008697811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017179873,0.000025668533,0.00042722098,0.00003797273,0.0000026721957,0.00027231727,0.004343759,0.000026951851,0.00007086471,0.0020771555,0.98810196,0.0045963274],"study_design_scores_gemma":[0.000014420994,0.000027783755,0.0016872856,0.00029799534,0.000006081719,0.00056174025,0.033654436,0.00007928537,0.00008447083,0.0012521736,0.96229464,0.00003965265],"about_ca_topic_score_codex":0.06706588,"about_ca_topic_score_gemma":0.094497725,"teacher_disagreement_score":0.06706588,"about_ca_system_score_codex":0.008459883,"about_ca_system_score_gemma":0.011384919,"threshold_uncertainty_score":0.13335103},"labels":[],"label_agreement":null},{"id":"W2345774352","doi":"","title":"Making publics 2.0: humanities data linked through a topical repository","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Publics; World Wide Web; Digital humanities; Linked data; Political science; Sociology; Public relations; Library science; Media studies; Computer science; Semantic Web","score_opus":0.198302928313242,"score_gpt":0.3220970985335935,"score_spread":0.12379417022035147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345774352","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028652662,0.0032945944,0.21725504,0.015839854,0.0020348798,0.0021376729,0.44765973,0.11521822,0.1679073],"genre_scores_gemma":[0.15774608,0.0048128,0.2745034,0.0024014674,0.0016976473,0.0028998982,0.49285513,0.024096275,0.038987357],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944847,0.0018334079,0.00058435777,0.0007741464,0.0019345348,0.00038888995],"domain_scores_gemma":[0.97349304,0.0070606265,0.0022242274,0.012465908,0.002004222,0.0027520289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011083674,0.00075684057,0.0008659225,0.022477485,0.003698118,0.013112439,0.0029722434,0.0023595563,0.031287037],"category_scores_gemma":[0.03825064,0.0011996083,0.00096647616,0.02619545,0.0024838038,0.029331625,0.018698616,0.0030927218,0.020482793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041555802,0.00031562772,0.011203564,0.0019362664,0.00020187002,0.00077906053,0.01199549,0.0018894208,0.0037055966,0.18411668,0.54641247,0.23702839],"study_design_scores_gemma":[0.000029538875,0.00002120922,0.0028718386,0.00036795237,0.000039124592,0.00018373906,0.002645214,0.0015984601,0.0016953321,0.05102881,0.93944764,0.000071119786],"about_ca_topic_score_codex":0.0055868514,"about_ca_topic_score_gemma":0.008730144,"teacher_disagreement_score":0.031287037,"about_ca_system_score_codex":0.0021058025,"about_ca_system_score_gemma":0.0066246493,"threshold_uncertainty_score":0.10466558},"labels":[],"label_agreement":null},{"id":"W2351030537","doi":"","title":"Research of a Semantics-Based Music Information Aggregation and Retrieval System for P2P Network","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; News aggregator; Information retrieval; Metadata; Semantics (computer science); Precision and recall; Peer-to-peer; Ontology; Human–computer information retrieval; World Wide Web; Search engine","score_opus":0.048246354251777195,"score_gpt":0.29182503506946145,"score_spread":0.24357868081768425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351030537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02856394,0.00081051455,0.9614885,0.00054569176,0.00007670691,0.00022798212,0.00020279181,0.004237306,0.0038466079],"genre_scores_gemma":[0.3813837,0.0010526668,0.61037177,0.00023849626,0.00014811782,0.000300728,0.0011222459,0.00022550672,0.0051568253],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870884,0.00024408406,0.00016225612,0.00027425739,0.00053453224,0.00007592827],"domain_scores_gemma":[0.9989003,0.0002517347,0.000093355615,0.0002473384,0.0004421552,0.0000650896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022313676,0.00046225183,0.0008337176,0.0024104833,0.0011418468,0.0022350992,0.001312412,0.0006899222,0.0013418493],"category_scores_gemma":[0.003623682,0.0003244402,0.00067514216,0.002454313,0.0006375815,0.005758406,0.0011322114,0.0006285761,0.0006488635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044110688,0.00044454576,0.0053540515,0.0007478844,0.00023437232,0.0006289412,0.0011653426,0.0377426,0.07328412,0.111485735,0.01689776,0.75157356],"study_design_scores_gemma":[0.000093532035,0.00019004698,0.0023172828,0.000067699,0.00028429806,0.0008238661,0.0005044352,0.86230713,0.061677687,0.030111022,0.04149367,0.00012947823],"about_ca_topic_score_codex":0.005193629,"about_ca_topic_score_gemma":0.0031604532,"teacher_disagreement_score":0.005193629,"about_ca_system_score_codex":0.0012135018,"about_ca_system_score_gemma":0.0015724846,"threshold_uncertainty_score":0.011800766},"labels":[],"label_agreement":null},{"id":"W2351788848","doi":"10.29173/cais523","title":"Deriving a Multilingual Gateway to Cultural Repositories","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Gateway (web page); Computer science; World Wide Web; Context (archaeology); Set (abstract data type); Vocabulary; Controlled vocabulary; Information retrieval; Digital collections; Linguistics; Geography; Archaeology","score_opus":0.02214608984090626,"score_gpt":0.2551195768657299,"score_spread":0.23297348702482362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2351788848","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39671162,0.0005196711,0.48310366,0.0026687314,0.00022449579,0.0021458487,0.0041472376,0.0106411185,0.099837564],"genre_scores_gemma":[0.47294268,0.00050923176,0.5073406,0.00057463394,0.000041409858,0.0007839883,0.009243254,0.0013679122,0.007196374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948021,0.002077155,0.0007920727,0.00082028867,0.0010135934,0.00049480965],"domain_scores_gemma":[0.9880918,0.0022407852,0.0007889208,0.0037100005,0.004156593,0.0010119249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009377942,0.00067666906,0.0007291322,0.007916903,0.0024043405,0.010229519,0.0016419151,0.001542454,0.0046649696],"category_scores_gemma":[0.023778224,0.0007542971,0.0009806438,0.005931449,0.0025835223,0.015020462,0.019930014,0.002039613,0.0033109856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056017167,0.00119168,0.04298192,0.0012377027,0.00020703851,0.0025824676,0.03944301,0.0066891937,0.030566584,0.41335666,0.01822341,0.44296017],"study_design_scores_gemma":[0.00031595913,0.00073341455,0.026709491,0.002744971,0.00066846685,0.0017476331,0.07669654,0.0691835,0.07547372,0.26133972,0.48400545,0.00038115724],"about_ca_topic_score_codex":0.0072751897,"about_ca_topic_score_gemma":0.010375915,"teacher_disagreement_score":0.010229519,"about_ca_system_score_codex":0.0025373271,"about_ca_system_score_gemma":0.007510229,"threshold_uncertainty_score":0.049595892},"labels":[],"label_agreement":null},{"id":"W2353816930","doi":"10.29173/cais311","title":"Toward a Proposed Ontology for Nanoscience","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ontology; Humanities; Computer science; Library science; Philosophy; Epistemology","score_opus":0.055152962406054565,"score_gpt":0.26511033147892454,"score_spread":0.20995736907287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2353816930","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077053406,0.00052484684,0.9630034,0.00553697,0.00033136638,0.00044825557,0.0013016202,0.0010563966,0.020091778],"genre_scores_gemma":[0.030789409,0.0007477174,0.9591297,0.0007096523,0.00010016558,0.0005050988,0.0020211574,0.00017730279,0.0058197146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976616,0.00049610756,0.00039811042,0.0005119987,0.0007272965,0.00020500885],"domain_scores_gemma":[0.9972928,0.0005132739,0.00028019288,0.00053479924,0.0010631474,0.00031567257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004056607,0.00057839317,0.0006861495,0.005614212,0.0023236799,0.006319126,0.0022928787,0.001978775,0.0028986987],"category_scores_gemma":[0.0041660247,0.0007456079,0.0024713075,0.004820181,0.0027933312,0.009230762,0.0036405192,0.0034969803,0.002231548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023882363,0.000099926954,0.0020573058,0.00029565053,0.000045795856,0.00031243573,0.0017065099,0.0031873488,0.004617047,0.9255847,0.008853921,0.053215474],"study_design_scores_gemma":[0.000023854056,0.00004323644,0.0018096338,0.0004712921,0.00007245956,0.00073511794,0.0022716331,0.045536764,0.003817712,0.5459801,0.39916435,0.000073860094],"about_ca_topic_score_codex":0.008562357,"about_ca_topic_score_gemma":0.008580361,"teacher_disagreement_score":0.008562357,"about_ca_system_score_codex":0.0029796697,"about_ca_system_score_gemma":0.0071194633,"threshold_uncertainty_score":0.021619081},"labels":[],"label_agreement":null},{"id":"W2354591126","doi":"10.29173/cais373","title":"Subject Explorer 3D: A Virtual Reality Collection Browsing and Searching Tool","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Subject (documents); Vocabulary; World Wide Web; Virtual reality; Semantic Web; Information retrieval; Controlled vocabulary; Interface (matter); Human–computer interaction; Linguistics; Philosophy","score_opus":0.04793749037150416,"score_gpt":0.26495178030607175,"score_spread":0.2170142899345676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354591126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06454738,0.002654775,0.650573,0.0006427069,0.0001753989,0.0019443358,0.014705248,0.173796,0.0909612],"genre_scores_gemma":[0.19461523,0.0024408302,0.6960083,0.00069952005,0.00012605195,0.0021310742,0.019474998,0.011556802,0.07294719],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960107,0.00009939875,0.000025867448,0.00006615962,0.00016889392,0.000038669106],"domain_scores_gemma":[0.9993855,0.0002921951,0.000035173915,0.00012082245,0.00007249468,0.00009381983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071099045,0.0008411378,0.0008074628,0.00203036,0.0005608973,0.0013742973,0.001169713,0.0009914567,0.0211606],"category_scores_gemma":[0.0013128808,0.00047277377,0.0010933981,0.0013594759,0.0004284526,0.0017786777,0.0021110375,0.0005939787,0.006012181],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013730117,0.00047995194,0.00445468,0.0025046153,0.00034622595,0.002042931,0.0057753744,0.0034799417,0.097929366,0.019627728,0.13043877,0.7315474],"study_design_scores_gemma":[0.000509884,0.0010712832,0.013425387,0.00047553296,0.00034298198,0.003909638,0.001760554,0.037444647,0.0371997,0.009644929,0.8937704,0.00044497734],"about_ca_topic_score_codex":0.004514526,"about_ca_topic_score_gemma":0.0084830215,"teacher_disagreement_score":0.0211606,"about_ca_system_score_codex":0.00027470992,"about_ca_system_score_gemma":0.0008764902,"threshold_uncertainty_score":0.07078928},"labels":[],"label_agreement":null},{"id":"W2355009783","doi":"","title":"Information Theory Based Heuristic Ontology Matching Framework","year":2007,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Ontology; Heuristic; Matching (statistics); Information retrieval; Ontology alignment; Artificial intelligence; Data mining; Ontology-based data integration; Semantic Web","score_opus":0.008423726671911215,"score_gpt":0.23007272666134668,"score_spread":0.22164899998943546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355009783","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009596351,0.00029636885,0.97947264,0.00039269385,0.000057252444,0.00013180595,0.00017712273,0.00027268744,0.009603107],"genre_scores_gemma":[0.37284353,0.0003951056,0.62048364,0.00022014127,0.000066591405,0.0002468,0.0006422323,0.00009860407,0.0050033513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747014,0.00085533323,0.00016021516,0.00033606985,0.0009670646,0.00021117827],"domain_scores_gemma":[0.9976488,0.0013541527,0.00013554671,0.00035466114,0.00042041967,0.000086423315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002425454,0.0004646099,0.0010980315,0.0050521065,0.0014948344,0.0027583751,0.003423353,0.0015582925,0.0077347406],"category_scores_gemma":[0.009074595,0.00041216586,0.0012723549,0.0042688423,0.0015415107,0.0049468614,0.0022492292,0.00094582007,0.00079835707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010047374,0.00020139632,0.0010038702,0.00020666327,0.00013075834,0.00023789608,0.00025035127,0.06253296,0.0010881814,0.7929187,0.003626066,0.13770264],"study_design_scores_gemma":[0.000028275692,0.00003799717,0.00031808484,0.00004870143,0.00007795793,0.00016365846,0.00014305646,0.4366064,0.0014310891,0.5547465,0.006372667,0.000025597732],"about_ca_topic_score_codex":0.00590141,"about_ca_topic_score_gemma":0.0048189755,"teacher_disagreement_score":0.0077347406,"about_ca_system_score_codex":0.0021201195,"about_ca_system_score_gemma":0.0027757264,"threshold_uncertainty_score":0.02587533},"labels":[],"label_agreement":null},{"id":"W2355371","doi":"10.3233/978-1-60750-544-0-41","title":"A Metric Suite for Evaluating Cohesion and Coupling in Modular Ontologies","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Suite; Cohesion (chemistry); Modular design; Computer science; Metric (unit); Theoretical computer science; Programming language; Physics; Engineering; History; Operations management; Quantum mechanics; Archaeology","score_opus":0.08602594510644375,"score_gpt":0.33083796747630917,"score_spread":0.24481202236986543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355371","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031795282,0.00075889163,0.9589006,0.00013928307,0.000083737665,0.0004996786,0.001599295,0.00184287,0.0043804115],"genre_scores_gemma":[0.1706939,0.0005466868,0.81997055,0.000078461955,0.000051363797,0.0016146607,0.0055916435,0.00048803372,0.0009645874],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9714256,0.00895863,0.0035122237,0.0015785756,0.014094307,0.00043069472],"domain_scores_gemma":[0.9725884,0.012798825,0.0034040532,0.0030716069,0.0075534508,0.00058359414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0122732865,0.0023542205,0.0020745134,0.013838456,0.0014230473,0.003530665,0.0019601441,0.0014239914,0.0011104008],"category_scores_gemma":[0.054300696,0.0005366428,0.0018199595,0.012710932,0.0013704781,0.004978796,0.0032214045,0.0013494085,0.00056177954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027204346,0.00037359665,0.02260052,0.0020772172,0.00094202976,0.00033512694,0.0015888893,0.12308814,0.01616049,0.109755374,0.013347802,0.7094588],"study_design_scores_gemma":[0.0001178342,0.0013132355,0.022949373,0.00073294074,0.00054254435,0.0012767023,0.0011063366,0.6562679,0.030913195,0.23107111,0.053294893,0.0004138427],"about_ca_topic_score_codex":0.002521477,"about_ca_topic_score_gemma":0.002293134,"teacher_disagreement_score":0.013838456,"about_ca_system_score_codex":0.001966375,"about_ca_system_score_gemma":0.0023849949,"threshold_uncertainty_score":0.06490809},"labels":[],"label_agreement":null},{"id":"W235840106","doi":"10.1007/978-3-642-40537-2_23","title":"Intelligent Tableau Algorithm for DL Reasoning","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Semantic reasoner; Computer science; Bottleneck; Set (abstract data type); State (computer science); Algorithm; Conjecture; Simple (philosophy); Theoretical computer science; Artificial intelligence; Programming language; Mathematics; Discrete mathematics","score_opus":0.023365965395223343,"score_gpt":0.2582048640257885,"score_spread":0.23483889863056517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W235840106","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033643816,0.00032669792,0.9859363,0.00023880565,0.00007697555,0.00008923225,0.0004362368,0.0031800556,0.0063512987],"genre_scores_gemma":[0.050121058,0.0002651295,0.93988025,0.00015706051,0.000043252272,0.0001259881,0.0015738228,0.0003979088,0.0074354927],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99876946,0.00029958322,0.00011595476,0.00026853773,0.00045146738,0.00009497587],"domain_scores_gemma":[0.99853957,0.00077605515,0.000034598554,0.00030182797,0.00031224018,0.000035732326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013777319,0.0007992218,0.0012338044,0.0020961731,0.0014455472,0.0032649252,0.003103319,0.0012729896,0.020443816],"category_scores_gemma":[0.0046704016,0.00066080573,0.0015006484,0.0026651982,0.0012534747,0.0053862785,0.0019970566,0.0020076223,0.00542223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026216963,0.0002059228,0.00043752356,0.0004096182,0.00008860093,0.00013238756,0.00034399555,0.03291396,0.005048305,0.3794889,0.032531314,0.54813737],"study_design_scores_gemma":[0.0000680336,0.0000387097,0.00013695605,0.00008281106,0.000068259375,0.000119533244,0.0001028967,0.4753254,0.008351066,0.4918715,0.023804542,0.000030293495],"about_ca_topic_score_codex":0.0076968926,"about_ca_topic_score_gemma":0.01085648,"teacher_disagreement_score":0.020443816,"about_ca_system_score_codex":0.0024734007,"about_ca_system_score_gemma":0.002470533,"threshold_uncertainty_score":0.06839144},"labels":[],"label_agreement":null},{"id":"W2359143405","doi":"","title":"Canadian Semantic Web (Semantic Web and Beyond: Computing for Human Experience)","year":2006,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social Semantic Web; Semantic analytics; Semantic Web; Semantic Web Stack; Computer science; Semantic computing; Semantic grid; World Wide Web; Semantic search; Data Web; Semantic Web Rule Language; Information retrieval; Web service","score_opus":0.01751273306568833,"score_gpt":0.24933814875236013,"score_spread":0.2318254156866718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359143405","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021150885,0.07547631,0.012844277,0.018243242,0.007844122,0.00016713668,0.005496025,0.0010224195,0.8767913],"genre_scores_gemma":[0.022110512,0.048949227,0.012133139,0.0016427169,0.0005552101,0.000058738813,0.003205774,0.0005112243,0.9108334],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993006,0.000036308556,0.000022957445,0.00009218866,0.00044207321,0.000105858446],"domain_scores_gemma":[0.99934465,0.0000597234,0.000019452005,0.000047413047,0.0003974782,0.00013130876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090990646,0.0010573469,0.00047449052,0.0044059553,0.003741631,0.006241599,0.0011066784,0.0017635545,0.055268735],"category_scores_gemma":[0.0017286342,0.0006634033,0.0004605343,0.010522158,0.0020244622,0.0059704883,0.0016861759,0.0014656048,0.013432482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013723879,0.000013471996,0.00012103181,0.0001506373,0.0000024148083,0.00004257016,0.0002214774,0.0002209957,0.0002029807,0.09264642,0.7686285,0.13773593],"study_design_scores_gemma":[0.0000022547283,0.0000021417977,0.00022425714,0.000076315075,0.0000029062933,0.000039534163,0.000089072426,0.00012782283,0.00014821574,0.006931115,0.992349,0.0000073071947],"about_ca_topic_score_codex":0.8520505,"about_ca_topic_score_gemma":0.9170016,"teacher_disagreement_score":0.14794952,"about_ca_system_score_codex":0.022920761,"about_ca_system_score_gemma":0.042408574,"threshold_uncertainty_score":0.29764158},"labels":[],"label_agreement":null},{"id":"W2359695459","doi":"10.1016/j.procs.2016.04.114","title":"Conto: A Protégé Plugin for Configuring Ontologies","year":2016,"lang":"fr","type":"article","venue":"Procedia Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Plug-in; Abstraction; Domain (mathematical analysis); Ontology; Protégé; Data science; Domain knowledge; Data type; Information retrieval; Software engineering; Programming language; Semantic Web","score_opus":0.05554852715621697,"score_gpt":0.29373771207846333,"score_spread":0.23818918492224636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359695459","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010607652,0.0005737956,0.46914873,0.00080526416,0.0004032623,0.0009845333,0.004015404,0.4955843,0.017877115],"genre_scores_gemma":[0.15672341,0.0022138897,0.5872043,0.0038549476,0.00032036664,0.0033358021,0.03529758,0.16742484,0.04362482],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865425,0.00024393066,0.00013856452,0.00020575215,0.00056663726,0.00019079406],"domain_scores_gemma":[0.9977132,0.0011838151,0.00014480096,0.00046061067,0.00023843355,0.00025914665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026358867,0.0019428466,0.00085309526,0.0022935432,0.00094545144,0.0026292794,0.0030588838,0.0017928309,0.012346905],"category_scores_gemma":[0.008486061,0.0025285063,0.0018967927,0.00097430043,0.0012272028,0.0052303127,0.005992119,0.0033154278,0.008561633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020581086,0.0009865325,0.008027463,0.0026171205,0.0006332281,0.0047641513,0.004398823,0.018745115,0.02613808,0.061131615,0.5301591,0.34034064],"study_design_scores_gemma":[0.00036982767,0.0001447831,0.0056137405,0.0007015266,0.00014496506,0.0026963588,0.0004620629,0.09158631,0.022731466,0.044723343,0.8303427,0.00048297681],"about_ca_topic_score_codex":0.005373366,"about_ca_topic_score_gemma":0.0060111606,"teacher_disagreement_score":0.012346905,"about_ca_system_score_codex":0.0010307874,"about_ca_system_score_gemma":0.0015603831,"threshold_uncertainty_score":0.04130447},"labels":[],"label_agreement":null},{"id":"W2373942265","doi":"","title":"A Team Oriented Collaboration and Management System for Web References","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ajax; World Wide Web; Relevance (law); Web application; Multimedia","score_opus":0.00840039699260335,"score_gpt":0.2475332262150889,"score_spread":0.23913282922248555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2373942265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016576577,0.000216811,0.9053108,0.00031964958,0.00017537674,0.0006594637,0.00050740846,0.068533994,0.007699886],"genre_scores_gemma":[0.1644231,0.00032912864,0.79650027,0.00036554088,0.00032898822,0.0013138751,0.0036192588,0.0020956704,0.031024193],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99743015,0.0005366792,0.00032204494,0.0006150971,0.0009354581,0.00016070883],"domain_scores_gemma":[0.995845,0.000576874,0.00037803684,0.001173571,0.0011767881,0.0008496972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003030179,0.00073437934,0.00089215394,0.0025534518,0.0023307763,0.003023337,0.0022691446,0.0015865533,0.0086229555],"category_scores_gemma":[0.005614262,0.0005015877,0.0006239016,0.0026571266,0.0004887834,0.003763822,0.004543721,0.0012740756,0.0050895875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010155704,0.0009353048,0.0064970716,0.00033155183,0.0002035165,0.0010766812,0.0027465231,0.0070583546,0.037261438,0.024604717,0.085360244,0.8329091],"study_design_scores_gemma":[0.0006934719,0.0012526523,0.0071795913,0.00022229693,0.00045615892,0.0022110962,0.0012859433,0.38089356,0.051199272,0.033506315,0.5204978,0.00060180033],"about_ca_topic_score_codex":0.0034565872,"about_ca_topic_score_gemma":0.0028612441,"teacher_disagreement_score":0.0086229555,"about_ca_system_score_codex":0.00069257995,"about_ca_system_score_gemma":0.0020550487,"threshold_uncertainty_score":0.028846622},"labels":[],"label_agreement":null},{"id":"W2394515055","doi":"10.1057/9780230522404_2","title":"Ontology, Method, and Hypotheses","year":2003,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan UK eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sketch; Ontology; Frame (networking); Computer science; Epistemology; Management science; Data science; Philosophy; Engineering; Algorithm","score_opus":0.033009531024513226,"score_gpt":0.26003297198305475,"score_spread":0.22702344095854152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394515055","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017612388,0.014374056,0.4731061,0.048677046,0.0041831727,0.007554328,0.003977908,0.00070946786,0.42980555],"genre_scores_gemma":[0.23691384,0.017215315,0.5502981,0.015685288,0.0021721693,0.04196744,0.003856143,0.00069162616,0.13120008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99282247,0.0044664545,0.0003769635,0.00091911026,0.0011452151,0.0002698812],"domain_scores_gemma":[0.9893113,0.008415096,0.00033441864,0.0008981296,0.00073859526,0.0003023933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014380863,0.000902986,0.0011463861,0.0053837835,0.0030404893,0.008717431,0.0026859422,0.0033961122,0.02952772],"category_scores_gemma":[0.018218294,0.0009466264,0.0007493736,0.0059278626,0.014777324,0.009848656,0.0039732927,0.0038683582,0.00662149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021750662,0.00007796323,0.00035526184,0.00036626688,0.000006969108,0.000057028406,0.001720573,0.00017926558,0.00011051344,0.97067094,0.007977206,0.018456282],"study_design_scores_gemma":[0.00003388813,0.00003665351,0.00052639446,0.0006643366,0.000010361822,0.00010381492,0.003175996,0.0008704196,0.00031282942,0.8768354,0.11740608,0.000023841661],"about_ca_topic_score_codex":0.001859386,"about_ca_topic_score_gemma":0.0022586358,"teacher_disagreement_score":0.02952772,"about_ca_system_score_codex":0.004468259,"about_ca_system_score_gemma":0.0064245407,"threshold_uncertainty_score":0.098780096},"labels":[],"label_agreement":null},{"id":"W2394628811","doi":"","title":"A Hybrid Approach for Ontology Integration","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ontology; Exploit; Semantics (computer science); Semantic Web; Ontology-based data integration; World Wide Web; Information retrieval; Information integration; Data science; Database; Programming language","score_opus":0.030220936823951966,"score_gpt":0.2660517019273517,"score_spread":0.23583076510339976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394628811","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035933722,0.00025653685,0.99108773,0.00028120275,0.00005496792,0.00008592998,0.000053392298,0.0007175338,0.0038692898],"genre_scores_gemma":[0.054092072,0.00028256653,0.9416411,0.00016864322,0.00003325777,0.00013943996,0.00036256417,0.00013819266,0.003142093],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974146,0.0006556289,0.0001882192,0.0004224585,0.0011515719,0.00016749009],"domain_scores_gemma":[0.998607,0.0002998663,0.0000668821,0.0005342596,0.00039389514,0.000098129254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024666332,0.00054865103,0.00064864464,0.002061712,0.001092294,0.0040152883,0.0020252918,0.0015251669,0.0028330954],"category_scores_gemma":[0.003551942,0.0006124376,0.0015019266,0.0024459474,0.0011247644,0.005693547,0.005307307,0.0017774717,0.0012470904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001481117,0.00035556086,0.0023140814,0.00035288167,0.0003723599,0.0006443087,0.002190027,0.014672497,0.021177813,0.45055753,0.009675443,0.49753934],"study_design_scores_gemma":[0.00006307815,0.00016850182,0.001243186,0.000203115,0.00031135717,0.0012992172,0.0011816518,0.39150366,0.015808951,0.38951012,0.19857787,0.00012931779],"about_ca_topic_score_codex":0.0019927248,"about_ca_topic_score_gemma":0.0033526376,"teacher_disagreement_score":0.0040152883,"about_ca_system_score_codex":0.00070666417,"about_ca_system_score_gemma":0.0014603497,"threshold_uncertainty_score":0.013044953},"labels":[],"label_agreement":null},{"id":"W2394921060","doi":"","title":"Linguistic patterns for information extraction in ontocmaps","year":2012,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Athabasca University; Royal Military College of Canada","funders":"","keywords":"Computer science; Ontology; Rule-based machine translation; Dependency (UML); Natural language processing; Ontology learning; Task (project management); Artificial intelligence; Ontology engineering; Knowledge base; Information extraction; Field (mathematics); Dependency grammar; Semantic Web; Information retrieval; Upper ontology; Suggested Upper Merged Ontology; Mathematics","score_opus":0.03261506881799248,"score_gpt":0.3026057903392546,"score_spread":0.26999072152126213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394921060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04169054,0.00042362112,0.9351642,0.0011610707,0.00014988481,0.0007995804,0.0033927963,0.0063749086,0.010843361],"genre_scores_gemma":[0.13230392,0.00044934484,0.8578434,0.00024550268,0.000036478297,0.0004791359,0.004712477,0.0006161031,0.0033135945],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978415,0.0005489258,0.00037023175,0.00035978173,0.0007686737,0.00011089256],"domain_scores_gemma":[0.9965911,0.0014719428,0.0002648932,0.0009375485,0.00064604497,0.00008845605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016070709,0.00058737077,0.00049099704,0.0037218109,0.0010763084,0.002612922,0.00075254275,0.0007623229,0.0053183795],"category_scores_gemma":[0.008992217,0.0004821812,0.001039979,0.00436799,0.00095425785,0.0040309653,0.0023161694,0.0009629999,0.0020714623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036115485,0.0002449104,0.009398027,0.0010991836,0.000114475195,0.0012681998,0.0024359722,0.0065492685,0.023573974,0.13316758,0.015678788,0.8061085],"study_design_scores_gemma":[0.00014667772,0.0002090225,0.0070842286,0.0007113726,0.00022843288,0.0026015197,0.0030117002,0.18707731,0.105228715,0.45086804,0.24267969,0.0001533478],"about_ca_topic_score_codex":0.0026839324,"about_ca_topic_score_gemma":0.0037949297,"teacher_disagreement_score":0.0053183795,"about_ca_system_score_codex":0.0005855232,"about_ca_system_score_gemma":0.001923386,"threshold_uncertainty_score":0.017791748},"labels":[],"label_agreement":null},{"id":"W2395123824","doi":"","title":"Reasoning about Chemical Reactions Using the Situation Calculus.","year":2012,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Heuristics; Set (abstract data type); Task (project management); Situation calculus; Representation (politics); Prolog; Theoretical computer science; Artificial intelligence; Programming language; Systems engineering","score_opus":0.20267425396235095,"score_gpt":0.380526042724773,"score_spread":0.17785178876242203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395123824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024761774,0.00095777883,0.9788431,0.001673636,0.00025335388,0.00023689706,0.0003031205,0.00043444423,0.014821557],"genre_scores_gemma":[0.14747614,0.002858824,0.8399624,0.0009142332,0.00043139714,0.0006229091,0.00096227834,0.00015544506,0.006616485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943462,0.0025385024,0.00065664714,0.000661684,0.0013647708,0.00043205728],"domain_scores_gemma":[0.99197996,0.0057633203,0.00062008615,0.0007542645,0.0005882666,0.0002940353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007615521,0.0016609074,0.0010276688,0.0026729717,0.0029481144,0.007000586,0.0037339951,0.0024794068,0.007850517],"category_scores_gemma":[0.013908335,0.0011706533,0.005212433,0.0026889674,0.0057677696,0.010739386,0.0041218405,0.0041823015,0.001613807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035641882,0.000054094005,0.0003148544,0.00023100665,0.00007082559,0.0004946817,0.00077709433,0.024799617,0.00069847505,0.95278275,0.0023109843,0.017430017],"study_design_scores_gemma":[0.000046025056,0.000032250213,0.00010047812,0.00012504894,0.00008624162,0.00030707082,0.00025965885,0.066464454,0.0015905994,0.8921622,0.038781557,0.00004449218],"about_ca_topic_score_codex":0.012919646,"about_ca_topic_score_gemma":0.010958508,"teacher_disagreement_score":0.012919646,"about_ca_system_score_codex":0.0034368674,"about_ca_system_score_gemma":0.0039910744,"threshold_uncertainty_score":0.040275216},"labels":[],"label_agreement":null},{"id":"W2395243874","doi":"","title":"LILAC - Learn from Internet: Log, Annotation, and Content.","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Institute for Nanotechnology","funders":"","keywords":"Computer science; The Internet; lilac; World Wide Web; Annotation; Information retrieval; Artificial intelligence","score_opus":0.03929942071561514,"score_gpt":0.24667188101404453,"score_spread":0.20737246029842937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395243874","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29526982,0.0015622893,0.19859017,0.0016314825,0.00044009087,0.002039747,0.1163595,0.34977594,0.034330856],"genre_scores_gemma":[0.52419955,0.0007948599,0.19916594,0.00050858513,0.0001274899,0.0017455436,0.24457459,0.0043418384,0.024541536],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986584,0.0004075281,0.00010559124,0.00029267697,0.00045661355,0.00007924779],"domain_scores_gemma":[0.99078923,0.004648423,0.00034533849,0.0025500397,0.001251158,0.00041579176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023915854,0.0012893104,0.0006507625,0.0029246788,0.00056353,0.001401601,0.0018190276,0.0011121331,0.008461942],"category_scores_gemma":[0.014790431,0.00053185225,0.00053385436,0.0023423086,0.00034212985,0.003346932,0.001636966,0.0017264091,0.010849708],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021587845,0.003274094,0.053597983,0.00087912625,0.0003114665,0.0003206858,0.000523105,0.032692723,0.0037107992,0.0021100983,0.21069846,0.6897227],"study_design_scores_gemma":[0.00024496362,0.0008825064,0.026586914,0.00014063308,0.00014312906,0.0004199734,0.00047070868,0.8734183,0.0195476,0.006503897,0.07149773,0.00014373721],"about_ca_topic_score_codex":0.013523475,"about_ca_topic_score_gemma":0.030733341,"teacher_disagreement_score":0.013523475,"about_ca_system_score_codex":0.0010107062,"about_ca_system_score_gemma":0.0016018846,"threshold_uncertainty_score":0.028308034},"labels":[],"label_agreement":null},{"id":"W2395580821","doi":"10.13140/2.1.3317.6322","title":"The MYNG 1.01 Suite for Deliberation RuleML 1.01: Taming the Language Lattice","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; RELAX NG; Computer science; Programming language; Datalog; XML; Schema (genetic algorithms); Database; Information retrieval; Document Structure Description; Markup language; XHTML; World Wide Web; Document type definition","score_opus":0.014892382587778955,"score_gpt":0.25924463115858587,"score_spread":0.24435224857080692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395580821","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038924876,0.00026093848,0.7555819,0.001269618,0.00036450278,0.00052563666,0.0022552225,0.20707148,0.028778257],"genre_scores_gemma":[0.06868251,0.000713228,0.7695419,0.0014695411,0.00018409011,0.0011902325,0.01737413,0.1024437,0.038400568],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933983,0.0025253799,0.00080257445,0.0007080317,0.0022074957,0.00035825875],"domain_scores_gemma":[0.98233724,0.0067887837,0.00077910465,0.0071203336,0.0022966815,0.00067787076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00971586,0.0010007604,0.0006000412,0.0013746244,0.00082725263,0.005345276,0.0027281763,0.0013843951,0.03449093],"category_scores_gemma":[0.02792786,0.0020912287,0.001054481,0.0008919512,0.0018192433,0.0053762337,0.0053385976,0.0049707047,0.019633487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009328614,0.0002488799,0.0024185416,0.0011093083,0.00009353035,0.0006898301,0.0025405001,0.0077315024,0.021454236,0.21561447,0.35356957,0.39359677],"study_design_scores_gemma":[0.00013044852,0.00008998033,0.0005946857,0.00040480567,0.00002801273,0.0005443473,0.00017346462,0.0439965,0.017568454,0.045374762,0.89097583,0.00011872127],"about_ca_topic_score_codex":0.0039496706,"about_ca_topic_score_gemma":0.004936807,"teacher_disagreement_score":0.03449093,"about_ca_system_score_codex":0.001471725,"about_ca_system_score_gemma":0.002764288,"threshold_uncertainty_score":0.115383685},"labels":[],"label_agreement":null},{"id":"W2395669934","doi":"","title":"Heterogenität in wissenschaftlichen Fachdatenportalen.","year":2007,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.02063953568448673,"score_gpt":0.2522928733580772,"score_spread":0.23165333767359048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395669934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56719446,0.0093260715,0.07037562,0.010085225,0.00027493972,0.00010270064,0.0014370601,0.000584651,0.3406192],"genre_scores_gemma":[0.9851091,0.0007795934,0.004118409,0.00019464016,0.000035091693,0.000041394476,0.0003573997,0.00005454387,0.009309872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966419,0.0011897689,0.00017394258,0.00070261606,0.0008452804,0.00044649217],"domain_scores_gemma":[0.9958567,0.0020985645,0.0005794665,0.00064176123,0.0005335483,0.00029004176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002376589,0.00025426014,0.00038738266,0.0024056127,0.002180078,0.0061038854,0.00079160545,0.0013491889,0.014095969],"category_scores_gemma":[0.008248173,0.0003491592,0.00045431007,0.0044716266,0.0031317037,0.0074131615,0.004149992,0.0010413924,0.0015767328],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013008472,0.00012822449,0.036555257,0.00024367287,0.00012001065,0.00090925867,0.008594763,0.004411584,0.0016519675,0.8500314,0.0066759754,0.09054784],"study_design_scores_gemma":[0.000038824946,0.000057656285,0.05285994,0.0003208739,0.00016605572,0.0013259365,0.019192668,0.01389891,0.002664599,0.7781296,0.13128649,0.000058431742],"about_ca_topic_score_codex":0.007805646,"about_ca_topic_score_gemma":0.0073446264,"teacher_disagreement_score":0.014095969,"about_ca_system_score_codex":0.0032632886,"about_ca_system_score_gemma":0.0016361263,"threshold_uncertainty_score":0.04715568},"labels":[],"label_agreement":null},{"id":"W2395784639","doi":"","title":"Methods for Matching of Linked Open Social Science Data","year":2014,"lang":"en","type":"dissertation","venue":"MADOC (University of Mannheim)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit van Tilburg; Universität Mannheim; Leibniz-Gemeinschaft; University of Toronto","keywords":"Data science; Computer science; Linked data; Open data; Popularity; Matching (statistics); Domain (mathematical analysis); Open science; Open research; Semantic Web; Knowledge management; World Wide Web; Political science","score_opus":0.10483455357918402,"score_gpt":0.39351381592336,"score_spread":0.28867926234417596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395784639","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017588165,0.00013436988,0.99592364,0.00015549363,0.00003483194,0.00028846954,0.00044690265,0.00053001207,0.0007274767],"genre_scores_gemma":[0.018612385,0.00020709966,0.9769076,0.00008461907,0.000035763976,0.0006933022,0.0018887054,0.00026059934,0.0013099585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9486447,0.01940276,0.0070148436,0.007920816,0.016077986,0.0009389625],"domain_scores_gemma":[0.9183182,0.047741387,0.0062682647,0.018127572,0.008708601,0.0008360022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028166357,0.0012386858,0.0017861344,0.021158863,0.0024915126,0.00879113,0.004108757,0.0034539555,0.0056292694],"category_scores_gemma":[0.1362737,0.0013970993,0.0041527166,0.025627073,0.002412959,0.010811674,0.011394052,0.0033797624,0.0038361372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021748892,0.0003343642,0.010763728,0.0013494391,0.00055236084,0.00045180554,0.0034047186,0.020247897,0.006248211,0.2941235,0.0071578324,0.6551487],"study_design_scores_gemma":[0.00008206217,0.000091022805,0.0043967008,0.00039788912,0.00015895336,0.00083189603,0.0026864794,0.2953085,0.013589309,0.58446866,0.097821206,0.00016737888],"about_ca_topic_score_codex":0.0038098905,"about_ca_topic_score_gemma":0.004344283,"teacher_disagreement_score":0.028166357,"about_ca_system_score_codex":0.0030870656,"about_ca_system_score_gemma":0.004544017,"threshold_uncertainty_score":0.1489597},"labels":[],"label_agreement":null},{"id":"W2396410109","doi":"","title":"TrendMD: An academic content discovery platform.","year":2014,"lang":"en","type":"article","venue":"Medical Informatics Europe","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Computer science; World Wide Web; Data science","score_opus":0.06398040061402706,"score_gpt":0.2828130063508162,"score_spread":0.21883260573678914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396410109","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02220522,0.0036530583,0.35147962,0.005091199,0.0015385626,0.0014449117,0.2172348,0.28084862,0.11650399],"genre_scores_gemma":[0.077253856,0.0047700675,0.31724894,0.00235047,0.00074418384,0.0014275173,0.49211276,0.016015109,0.088077165],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987073,0.00017817196,0.00016554764,0.00022021115,0.0006191892,0.00010955542],"domain_scores_gemma":[0.9969752,0.00080970745,0.00031956608,0.00061481656,0.0007943296,0.0004863395],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018301847,0.000911345,0.0007344987,0.007975905,0.0010671137,0.0048538577,0.0019544938,0.0016220857,0.015082895],"category_scores_gemma":[0.00868916,0.0005521354,0.0007802979,0.008865902,0.0004149703,0.007872251,0.004080098,0.0014605278,0.016662415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071910827,0.00030164947,0.0045506684,0.0016700056,0.00018016255,0.0006874067,0.00074179086,0.0021853072,0.014373699,0.059925593,0.6170092,0.2976554],"study_design_scores_gemma":[0.00012661795,0.00007976461,0.002522027,0.00030175052,0.00009861834,0.0005918376,0.00044820257,0.016260471,0.008890095,0.03339276,0.9371934,0.00009449744],"about_ca_topic_score_codex":0.004564417,"about_ca_topic_score_gemma":0.0062158555,"teacher_disagreement_score":0.99514616,"about_ca_system_score_codex":0.0011661896,"about_ca_system_score_gemma":0.003398482,"threshold_uncertainty_score":0.0504573},"labels":[],"label_agreement":null},{"id":"W2396869151","doi":"10.3233/978-1-61499-438-1-105","title":"Mathematical Foundations for Participation Ontologies","year":2014,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Management science; Epistemology; Philosophy; Engineering","score_opus":0.09006585055512772,"score_gpt":0.3293579038031675,"score_spread":0.23929205324803976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396869151","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012185886,0.004631127,0.6097491,0.009055637,0.0006985528,0.00016278667,0.0005526079,0.0003025689,0.36266178],"genre_scores_gemma":[0.5360482,0.008422933,0.35648903,0.0034262904,0.001612189,0.0014407946,0.0016612656,0.00043987893,0.090459384],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969829,0.00086277345,0.00029888935,0.0005026265,0.0010930605,0.000259713],"domain_scores_gemma":[0.99799573,0.0008633477,0.00017715868,0.00034758903,0.00048725097,0.0001289351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033299683,0.0006780257,0.000563876,0.002546988,0.0030536852,0.0053758565,0.0014191908,0.0020666656,0.006738725],"category_scores_gemma":[0.0047998982,0.0005389253,0.0013913036,0.0025363392,0.00936396,0.012900692,0.0043755616,0.0045733238,0.0019774588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.1710362e-7,0.0000013322542,0.000007937342,0.0000071931954,8.4882055e-7,0.0000061306955,0.000068979534,0.000091918395,0.000024835997,0.99856746,0.00037426047,0.0008486154],"study_design_scores_gemma":[0.0000022574582,0.0000016570156,0.000027152026,0.000017593153,0.0000017606606,0.000025693393,0.00006261022,0.0008069014,0.0000663458,0.9665096,0.03247502,0.0000034870122],"about_ca_topic_score_codex":0.0030810356,"about_ca_topic_score_gemma":0.0016293817,"teacher_disagreement_score":0.006738725,"about_ca_system_score_codex":0.0041434173,"about_ca_system_score_gemma":0.0019823678,"threshold_uncertainty_score":0.030062735},"labels":[],"label_agreement":null},{"id":"W2396968058","doi":"","title":"Mobile Semantic Query Distribution with Graph-Based Outsourcing of Subqueries.","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Graph; Mobile device; Semantic query; Semantic heterogeneity; Semantic grid; Information retrieval; Database; Data mining; Semantic Web; World Wide Web; Web search query; Theoretical computer science; Search engine","score_opus":0.02019764237907735,"score_gpt":0.23277825410161193,"score_spread":0.2125806117225346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396968058","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047541946,0.000654502,0.9389337,0.001050356,0.000089239606,0.00052992377,0.0005421862,0.0042715156,0.006386766],"genre_scores_gemma":[0.55776787,0.00049373676,0.4314923,0.00037884788,0.000121098725,0.00035582882,0.0018003512,0.00070892135,0.006881088],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959357,0.0010470159,0.00025219755,0.00072040653,0.0015607276,0.0004839582],"domain_scores_gemma":[0.9939242,0.0011481993,0.0003748128,0.0034386069,0.00073674635,0.0003774304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028099394,0.0011340199,0.0012851065,0.0016771116,0.001549945,0.0023378935,0.003472304,0.0010361054,0.0045166523],"category_scores_gemma":[0.0070640626,0.00052634964,0.0013337979,0.00372631,0.0017975662,0.005906047,0.005776088,0.0015208407,0.0013923097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016141671,0.00093597575,0.005463793,0.0005273417,0.00032098437,0.00057210797,0.0019602838,0.21843864,0.032170657,0.17369372,0.03319069,0.53111166],"study_design_scores_gemma":[0.00022725697,0.00020029576,0.0015075231,0.000028291504,0.0000968143,0.00039566646,0.0010558091,0.8130463,0.01625202,0.14818895,0.018941253,0.000059869813],"about_ca_topic_score_codex":0.009051817,"about_ca_topic_score_gemma":0.012174597,"teacher_disagreement_score":0.009051817,"about_ca_system_score_codex":0.002388545,"about_ca_system_score_gemma":0.0027396702,"threshold_uncertainty_score":0.017998278},"labels":[],"label_agreement":null},{"id":"W2397331477","doi":"","title":"Rechercheverhalten in Daten- und Literaturinformationssystemen der Sozialwissenschaften.","year":2013,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Philosophy","score_opus":0.0319150461607649,"score_gpt":0.2688055377626691,"score_spread":0.23689049160190417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397331477","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1752486,0.066902034,0.45924145,0.027341181,0.0039787334,0.0020764591,0.083185144,0.058831044,0.12319539],"genre_scores_gemma":[0.41757175,0.021137845,0.4113319,0.003366363,0.0010269324,0.0010644256,0.10074825,0.0040718876,0.039680567],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.97084683,0.013010409,0.004763707,0.0037760525,0.006723672,0.0008793075],"domain_scores_gemma":[0.9408867,0.033998843,0.0034549106,0.013008229,0.007209447,0.0014418233],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.021913247,0.0010401446,0.0023704334,0.012061254,0.0026135945,0.013807625,0.0024568804,0.0031362667,0.013464248],"category_scores_gemma":[0.0700956,0.0011754995,0.0011410215,0.012294461,0.003176242,0.019140204,0.007628029,0.0030104478,0.01279589],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025646042,0.00084227143,0.019454885,0.0053205583,0.00075690035,0.0011132163,0.010539027,0.011706685,0.021793956,0.16835512,0.10322959,0.6543232],"study_design_scores_gemma":[0.0004983007,0.00054889405,0.009557115,0.0029542958,0.0007009393,0.001448491,0.004611481,0.036909584,0.059728466,0.15909916,0.7235387,0.000404583],"about_ca_topic_score_codex":0.0056162886,"about_ca_topic_score_gemma":0.005523196,"teacher_disagreement_score":0.97808677,"about_ca_system_score_codex":0.0026845208,"about_ca_system_score_gemma":0.009125141,"threshold_uncertainty_score":0.11588973},"labels":[],"label_agreement":null},{"id":"W2397638999","doi":"","title":"Evaluation of SPARQL Property Paths via Recursive SQL.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"SPARQL; Named graph; RDF; Computer science; SQL; Property (philosophy); Information retrieval; Relational database; Theoretical computer science; Database; Semantic Web","score_opus":0.05009813502725391,"score_gpt":0.27157242814481625,"score_spread":0.22147429311756234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397638999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058235645,0.00036772835,0.8687479,0.0005788115,0.00012514656,0.00067749986,0.003720458,0.060128897,0.0074178157],"genre_scores_gemma":[0.49257845,0.00028048755,0.47668216,0.0006194722,0.00007104569,0.00060696003,0.013764444,0.010103166,0.005293846],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9897091,0.003556634,0.00088603253,0.0012650024,0.0039343466,0.0006488639],"domain_scores_gemma":[0.9856829,0.007378073,0.000648942,0.0028457704,0.0032550495,0.00018919414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006459119,0.0011797252,0.0007579778,0.00086888456,0.0006569323,0.0027618771,0.0017900144,0.00089319074,0.006022228],"category_scores_gemma":[0.019882986,0.0007724303,0.0013336196,0.0013488464,0.0013074196,0.0056750933,0.0022205927,0.0014441741,0.0017802921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029188702,0.0011509097,0.015808593,0.0022853934,0.0005634896,0.0017871503,0.0027240745,0.0703542,0.10477785,0.2523091,0.07447315,0.4708472],"study_design_scores_gemma":[0.0002963123,0.0003515076,0.0031120295,0.00020603811,0.00020602044,0.00067737675,0.0006869864,0.5785439,0.2130277,0.13775681,0.06495397,0.00018137459],"about_ca_topic_score_codex":0.004528159,"about_ca_topic_score_gemma":0.0044571497,"teacher_disagreement_score":0.006459119,"about_ca_system_score_codex":0.0011221804,"about_ca_system_score_gemma":0.0018533266,"threshold_uncertainty_score":0.03415948},"labels":[],"label_agreement":null},{"id":"W2397784846","doi":"10.4242/balisagevol15.gotti01","title":"XSDGuide - Automated Generation of Web Interfaces from XML Schemas: A Case Study for Suspicious Activity Reporting","year":2015,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Validator; XML Schema (W3C); XML; XML validation; Document Structure Description; World Wide Web; Streaming XML; XML Schema Editor; Schema (genetic algorithms); Efficient XML Interchange; JavaScript; XML framework; User interface; Information retrieval; Document type definition; Programming language","score_opus":0.13638877290988888,"score_gpt":0.34546901583523076,"score_spread":0.20908024292534189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397784846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56253046,0.0007069411,0.38708875,0.0015062515,0.00013914716,0.0017907994,0.0014490654,0.030759262,0.014029412],"genre_scores_gemma":[0.48348346,0.00046145625,0.5004401,0.0003200155,0.000022233125,0.00049705367,0.0023491608,0.0032192483,0.009207193],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953961,0.0025435807,0.0003399919,0.00043752498,0.0011222719,0.00016049338],"domain_scores_gemma":[0.98652565,0.009266423,0.00046060834,0.0023496235,0.0011108461,0.00028677168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006331678,0.0006453641,0.00052775175,0.0010794342,0.000912309,0.0022830649,0.0025112557,0.00217196,0.0020328832],"category_scores_gemma":[0.018942093,0.0006823409,0.000788246,0.00096095237,0.0013887528,0.003646077,0.0019496917,0.0016962852,0.0010364777],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021650624,0.005177516,0.036173288,0.0031021636,0.00024018617,0.03317592,0.061543282,0.055940297,0.10379259,0.071009964,0.03990439,0.5877754],"study_design_scores_gemma":[0.00085859676,0.0018924986,0.012488865,0.0007215644,0.00020582027,0.016609773,0.009926471,0.32080835,0.28169292,0.013871811,0.34053025,0.000393068],"about_ca_topic_score_codex":0.0035932881,"about_ca_topic_score_gemma":0.0036439074,"teacher_disagreement_score":0.006331678,"about_ca_system_score_codex":0.0009884372,"about_ca_system_score_gemma":0.0010325472,"threshold_uncertainty_score":0.03348553},"labels":[],"label_agreement":null},{"id":"W2398286538","doi":"","title":"Automating Instance Migration in Response to Ontology Evolution.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ontology; Computer science; Process ontology; Ontology-based data integration; Data mining; Information retrieval; Software engineering; Semantic Web","score_opus":0.011357821571761073,"score_gpt":0.2430637199420805,"score_spread":0.23170589837031944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398286538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0369821,0.0004360147,0.9109055,0.0014106797,0.0005741784,0.00069939875,0.00065928017,0.04156058,0.0067723054],"genre_scores_gemma":[0.17992663,0.00025264735,0.80835414,0.0006699442,0.000104824874,0.00019759314,0.0022318922,0.0020316718,0.0062306114],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947702,0.0015283908,0.0004862024,0.0011761595,0.0016920898,0.00034691294],"domain_scores_gemma":[0.98289615,0.004882165,0.0015446881,0.007883442,0.0021318768,0.0006616619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063306037,0.0009001168,0.0008374422,0.0016950341,0.0012855295,0.003307554,0.0032843642,0.002128594,0.0023358003],"category_scores_gemma":[0.023275387,0.000855308,0.0012672324,0.0015149659,0.00077015004,0.00417493,0.0044096066,0.0028314013,0.0019791478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009038562,0.0008125306,0.02151661,0.00074112247,0.00052947196,0.001339105,0.0033216954,0.017993826,0.117000684,0.017988464,0.046052717,0.7717999],"study_design_scores_gemma":[0.00016066479,0.00023846654,0.011085411,0.00018138223,0.00032193612,0.0021446522,0.0018015245,0.57372206,0.17849441,0.03975328,0.1918492,0.00024706215],"about_ca_topic_score_codex":0.0043287636,"about_ca_topic_score_gemma":0.007517736,"teacher_disagreement_score":0.0063306037,"about_ca_system_score_codex":0.00085580687,"about_ca_system_score_gemma":0.0018691231,"threshold_uncertainty_score":0.03347987},"labels":[],"label_agreement":null},{"id":"W2398515305","doi":"10.3233/978-1-61499-488-6-269","title":"Modelling System Level Health Information Exchange: An Ontological Approach","year":2015,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Ontology; Data science; Epistemology; Philosophy","score_opus":0.26394362770406404,"score_gpt":0.37346516593404766,"score_spread":0.10952153822998362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398515305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012490954,0.00039679251,0.9621962,0.0021947725,0.00009173697,0.00030387155,0.001131557,0.00036657922,0.020827603],"genre_scores_gemma":[0.22438493,0.001511879,0.76169276,0.00060296064,0.00011780092,0.0008759069,0.00292838,0.00016343796,0.0077219047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99694294,0.0011299195,0.0004396109,0.00035577224,0.00076726044,0.00036450865],"domain_scores_gemma":[0.9964888,0.001854954,0.000380949,0.00059292134,0.00051629083,0.00016613917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045193075,0.00077353785,0.00080916425,0.004603188,0.0022097677,0.007268666,0.0029352254,0.0026126998,0.0026413589],"category_scores_gemma":[0.00802858,0.0009957654,0.0028329594,0.0051479465,0.0034072255,0.008898707,0.004967081,0.0028072284,0.00077954214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002830012,0.00007823906,0.0019845793,0.00019345323,0.000098869496,0.0005716269,0.0022607672,0.064626664,0.0009412597,0.90933233,0.001711303,0.01817266],"study_design_scores_gemma":[0.00004138328,0.000039369792,0.0013239586,0.00038047932,0.0002197448,0.00041212412,0.0019788183,0.32779205,0.0014240503,0.5702143,0.09610678,0.00006697155],"about_ca_topic_score_codex":0.03153855,"about_ca_topic_score_gemma":0.02086788,"teacher_disagreement_score":0.03153855,"about_ca_system_score_codex":0.0040254635,"about_ca_system_score_gemma":0.0057326406,"threshold_uncertainty_score":0.06270993},"labels":[],"label_agreement":null},{"id":"W2398808383","doi":"10.29007/54ps","title":"Cuts for circular proofs","year":2018,"lang":"en","type":"article","venue":"EPiC series in computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Mathematical proof; Computer science; Geometry; Mathematics","score_opus":0.026233579637175763,"score_gpt":0.2901355418962448,"score_spread":0.26390196225906903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398808383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008725524,0.0037287422,0.9252786,0.003205857,0.0011274897,0.00017610115,0.00038838753,0.001593484,0.055775855],"genre_scores_gemma":[0.33700868,0.0019711177,0.626122,0.0028813903,0.0011398483,0.0004781234,0.0006681895,0.00081690936,0.02891376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99626714,0.0011068038,0.00022719768,0.00077500823,0.0013235821,0.00030027417],"domain_scores_gemma":[0.9921749,0.004222912,0.0004030728,0.0016757877,0.0011333174,0.00038996356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036863238,0.00068992644,0.0005624833,0.002010277,0.0018929193,0.0036554034,0.0017838412,0.0019286374,0.012632821],"category_scores_gemma":[0.011164184,0.0007264671,0.0013472781,0.0012231289,0.005831661,0.0075987936,0.004783415,0.005256951,0.0027464426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016911381,0.000007010031,0.00004800168,0.00005590358,0.000004048406,0.000043166776,0.00014903414,0.00035440378,0.00051274005,0.9892167,0.0014626945,0.008129542],"study_design_scores_gemma":[0.000012790328,0.000016972377,0.000059577764,0.00004992719,0.0000103414395,0.000121883146,0.00003593971,0.00318429,0.0010665435,0.9495132,0.045914304,0.000014281274],"about_ca_topic_score_codex":0.0014728653,"about_ca_topic_score_gemma":0.0011400203,"teacher_disagreement_score":0.012632821,"about_ca_system_score_codex":0.002553611,"about_ca_system_score_gemma":0.001543121,"threshold_uncertainty_score":0.042261004},"labels":[],"label_agreement":null},{"id":"W2398927931","doi":"","title":"Decidable Reasoning over Timestamped Conceptual Models","year":2008,"lang":"en","type":"article","venue":"View","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Decidability; Fragment (logic); Embedding; Conceptual model; Computer science; Description logic; EXPTIME; Automated reasoning; Theoretical computer science; Artificial intelligence; Algorithm; Computational complexity theory; Database","score_opus":0.05193947071102523,"score_gpt":0.2572184285924288,"score_spread":0.2052789578814036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398927931","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0644572,0.0010817974,0.91103274,0.00517396,0.00017874701,0.00020706303,0.002210514,0.0024148964,0.013243164],"genre_scores_gemma":[0.66830075,0.0013263698,0.31488,0.0013326969,0.0004988454,0.00036871166,0.005494613,0.00037438908,0.0074235164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9886595,0.0031525586,0.0012138188,0.002658589,0.0028249058,0.0014906039],"domain_scores_gemma":[0.97064316,0.021772241,0.0013832301,0.00351875,0.0019092545,0.00077341916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006600434,0.0014499162,0.0017493181,0.0021282567,0.002496057,0.007614181,0.0052842204,0.0032793668,0.0064731883],"category_scores_gemma":[0.022194589,0.0020961391,0.006118143,0.0033388122,0.005015414,0.029240271,0.009019397,0.008854534,0.0006797872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022764003,0.00018212646,0.0008815248,0.0005802397,0.00020268788,0.000747619,0.0013945594,0.043431904,0.0028029112,0.9134745,0.005620833,0.030453444],"study_design_scores_gemma":[0.00009363268,0.00003115203,0.0001681439,0.00006246538,0.0000971462,0.00032490364,0.00029132896,0.094016574,0.0032274746,0.89509803,0.0065459413,0.00004313312],"about_ca_topic_score_codex":0.008401322,"about_ca_topic_score_gemma":0.009377429,"teacher_disagreement_score":0.008401322,"about_ca_system_score_codex":0.003934796,"about_ca_system_score_gemma":0.0033043204,"threshold_uncertainty_score":0.034906864},"labels":[],"label_agreement":null},{"id":"W2399879074","doi":"","title":"Open Virtual Patient Authoring System from McGill University.","year":2009,"lang":"en","type":"article","venue":"Bio-Algorithms and Med-Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Human–computer interaction; Multimedia","score_opus":0.02348617306770567,"score_gpt":0.22550601625591446,"score_spread":0.2020198431882088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399879074","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014545007,0.0019633716,0.20838177,0.00419989,0.0010920308,0.0018516068,0.20723467,0.41518193,0.14554986],"genre_scores_gemma":[0.17088261,0.0025064824,0.22214681,0.003728008,0.00068242504,0.0019189288,0.24999736,0.043992527,0.30414483],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917763,0.00018248464,0.00006648882,0.00011634449,0.00035817255,0.00009893296],"domain_scores_gemma":[0.99505913,0.0017109951,0.00018606325,0.0010430937,0.00067158317,0.0013290677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018382899,0.00076581753,0.0009088503,0.002024862,0.0005267338,0.0023737892,0.0020971878,0.0010251469,0.16437045],"category_scores_gemma":[0.008708034,0.0006826837,0.00043738217,0.0012713263,0.00041685553,0.0017436675,0.0028010376,0.00122868,0.041675083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010989861,0.00012723204,0.0018822023,0.00044763437,0.000044472068,0.0004507876,0.00033586952,0.0018655452,0.006010177,0.004601872,0.7786261,0.20450917],"study_design_scores_gemma":[0.00068891543,0.00012583492,0.0048567103,0.00025847685,0.00006586569,0.00062812306,0.000120574885,0.024032403,0.009121704,0.010259319,0.9496201,0.00022205793],"about_ca_topic_score_codex":0.029675102,"about_ca_topic_score_gemma":0.058348026,"teacher_disagreement_score":0.16437045,"about_ca_system_score_codex":0.0017367724,"about_ca_system_score_gemma":0.0037311814,"threshold_uncertainty_score":0.54987395},"labels":[],"label_agreement":null},{"id":"W2400046567","doi":"","title":"A Platform for Reasoning with OWL-EL Knowledge Bases in a Peer-to-Peer Environment.","year":2009,"lang":"en","type":"article","venue":"OWL: Experiences and Directions","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Peer-to-peer; World Wide Web; Human–computer interaction","score_opus":0.021148908083971688,"score_gpt":0.2837233728197178,"score_spread":0.26257446473574614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400046567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071221073,0.00046389893,0.9394269,0.0011280471,0.0003709845,0.0007623946,0.0026040717,0.036323994,0.01179759],"genre_scores_gemma":[0.07848585,0.00093988434,0.8821011,0.0008396217,0.00017568069,0.000926914,0.016664933,0.002978589,0.016887462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973417,0.0006114324,0.0005211248,0.00033874103,0.0009801403,0.00020693617],"domain_scores_gemma":[0.9950735,0.0017207343,0.00034237647,0.0016464269,0.0006454529,0.0005715683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005756651,0.00074271235,0.0011374853,0.0018440078,0.002514075,0.007246723,0.004601246,0.0021557081,0.007284676],"category_scores_gemma":[0.01390502,0.0015064972,0.0015206734,0.0019009355,0.0013418812,0.0136233475,0.0072388505,0.0035990977,0.005266487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013328486,0.0016111911,0.0029875098,0.0016543351,0.0006638948,0.0043287664,0.0030033686,0.032370813,0.017393362,0.39196578,0.16687237,0.3758157],"study_design_scores_gemma":[0.00047490967,0.00017743363,0.0011336032,0.0006309043,0.00034086558,0.0010479427,0.0011103761,0.26673082,0.017113257,0.36016667,0.35084847,0.00022467047],"about_ca_topic_score_codex":0.009684036,"about_ca_topic_score_gemma":0.010324332,"teacher_disagreement_score":0.009684036,"about_ca_system_score_codex":0.00095331017,"about_ca_system_score_gemma":0.0027808563,"threshold_uncertainty_score":0.030444443},"labels":[],"label_agreement":null},{"id":"W2400111885","doi":"10.3233/978-1-61499-438-1-37","title":"Interdependence among material objects and voids","year":2014,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Geological Survey of Canada","funders":"","keywords":"Psychology","score_opus":0.023734524653983707,"score_gpt":0.24651255518868653,"score_spread":0.22277803053470283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400111885","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045894064,0.008559201,0.46397632,0.0028301408,0.00042610033,0.00012363125,0.0005345006,0.00059699535,0.47705898],"genre_scores_gemma":[0.71073085,0.009642607,0.13735019,0.0007719012,0.00047056872,0.00025970006,0.0010526568,0.0005631583,0.13915832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990182,0.00016885533,0.000049593647,0.00023582694,0.0004451538,0.0000823568],"domain_scores_gemma":[0.99884355,0.0005340998,0.00011251158,0.00031973017,0.00013882002,0.00005126539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009857194,0.0004891866,0.0004837483,0.0014375658,0.0012816027,0.003308813,0.0013001263,0.0009450057,0.007311034],"category_scores_gemma":[0.002263064,0.0006845738,0.00073219143,0.001918034,0.00534207,0.009148514,0.0038081377,0.0016169316,0.0011265192],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005712228,0.000005011305,0.00018288605,0.000058805424,0.000003786254,0.00009677639,0.00035105483,0.001330841,0.0005986766,0.9844358,0.0011672142,0.011763369],"study_design_scores_gemma":[0.0000044211056,0.000010753769,0.00090740505,0.00012311063,0.000015481231,0.0004322239,0.00025508628,0.006202576,0.001591753,0.8342064,0.15623422,0.000016485503],"about_ca_topic_score_codex":0.0016301125,"about_ca_topic_score_gemma":0.002049922,"teacher_disagreement_score":0.007311034,"about_ca_system_score_codex":0.0013150977,"about_ca_system_score_gemma":0.000977146,"threshold_uncertainty_score":0.024457872},"labels":[],"label_agreement":null},{"id":"W2400176552","doi":"","title":"On the undecidability of the situation calculus extended with description logic ontologies","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Situation calculus; Satisfiability; Action (physics); Calculus (dental); Description logic; Computer science; Algebra over a field; Mathematics; Theoretical computer science; Artificial intelligence; Pure mathematics","score_opus":0.08273444142502913,"score_gpt":0.26253652296645574,"score_spread":0.17980208154142663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400176552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22351485,0.0018743046,0.71797806,0.01574788,0.0005064111,0.0005003527,0.0006480291,0.0019212016,0.037308957],"genre_scores_gemma":[0.8150032,0.001970668,0.16740781,0.0028669797,0.0009199053,0.000655904,0.0010572639,0.00057032716,0.009548027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9830761,0.0071483883,0.0011526202,0.0021249421,0.004214056,0.0022838342],"domain_scores_gemma":[0.8398424,0.1387149,0.0036692787,0.009669226,0.0059819045,0.0021222897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02220859,0.001370463,0.001660426,0.0031347896,0.0044763074,0.0072404477,0.0042043496,0.0039406745,0.003998728],"category_scores_gemma":[0.07609473,0.0016913145,0.0041131177,0.0027168388,0.013292707,0.025194863,0.009196743,0.014785506,0.00057533267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024507003,0.00022330995,0.0019850188,0.00031845315,0.00011975695,0.0006830512,0.0013377052,0.050101556,0.0013785472,0.92210126,0.0033011995,0.01820492],"study_design_scores_gemma":[0.00008732214,0.00003590967,0.000239224,0.00006950916,0.00006475427,0.00010152399,0.00016750532,0.12271328,0.0017696857,0.8722229,0.002489721,0.000038786162],"about_ca_topic_score_codex":0.011648613,"about_ca_topic_score_gemma":0.008394779,"teacher_disagreement_score":0.02220859,"about_ca_system_score_codex":0.004952065,"about_ca_system_score_gemma":0.0064850547,"threshold_uncertainty_score":0.11745161},"labels":[],"label_agreement":null},{"id":"W2400177336","doi":"10.1007/978-3-319-25840-9_21","title":"Multiple Dimensions to Data-Driven Ontology Evaluation","year":2015,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ontology; Computer science; Upper ontology; Ontology-based data integration; Process ontology; Correctness; Domain (mathematical analysis); Ontology Inference Layer; Information retrieval; Categorical variable; Suggested Upper Merged Ontology; Representation (politics); Natural language processing; Semantic Web; OWL-S; Data mining; Algorithm; Machine learning; Mathematics","score_opus":0.21736492769936597,"score_gpt":0.38071275980183905,"score_spread":0.16334783210247308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400177336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060346898,0.0038044595,0.91830957,0.0030011572,0.00026044573,0.0004943173,0.0010810577,0.00083700183,0.0118651325],"genre_scores_gemma":[0.41027382,0.0009766013,0.58347106,0.00037890565,0.00009506429,0.0006973653,0.0015242088,0.00027954957,0.0023034122],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9817993,0.009099611,0.0013378017,0.0009894508,0.006247293,0.0005265544],"domain_scores_gemma":[0.9558762,0.031807065,0.0014264388,0.003029047,0.006992218,0.00086895534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016779235,0.0009364822,0.0013064868,0.00543885,0.0012756973,0.008300233,0.002110692,0.001394488,0.002621361],"category_scores_gemma":[0.07382102,0.00065079576,0.0011015544,0.006783963,0.0038455566,0.008935818,0.0057965573,0.0025967886,0.00047296195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007253904,0.00042324117,0.01370701,0.0012304259,0.00039340596,0.0002577034,0.0018118115,0.06647425,0.0027180372,0.35726145,0.013240233,0.54175705],"study_design_scores_gemma":[0.000043130993,0.00007738763,0.002025693,0.0003465223,0.000090092166,0.000099768295,0.0012909643,0.42405477,0.004708689,0.5531068,0.014089277,0.00006697443],"about_ca_topic_score_codex":0.006100143,"about_ca_topic_score_gemma":0.0077013047,"teacher_disagreement_score":0.016779235,"about_ca_system_score_codex":0.005218833,"about_ca_system_score_gemma":0.0038149054,"threshold_uncertainty_score":0.088738084},"labels":[],"label_agreement":null},{"id":"W2400267089","doi":"","title":"Pushing the CFDnc Envelope.","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"P; Consistency (knowledge bases); Satisfiability; Computer science; Knowledge base; Base (topology); Theoretical computer science; Envelope (radar); Description logic; Algorithm; Time complexity; Artificial intelligence; Mathematics","score_opus":0.015279665125846413,"score_gpt":0.21959719632767483,"score_spread":0.2043175312018284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400267089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049448807,0.0032836744,0.8085385,0.03492548,0.0012039491,0.0002618535,0.002172469,0.0037692292,0.096396014],"genre_scores_gemma":[0.5654443,0.0017501807,0.39721492,0.0076159257,0.000633888,0.00023499138,0.0028679813,0.0007363292,0.02350144],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99140376,0.002716947,0.000550945,0.0016741029,0.003049249,0.0006049707],"domain_scores_gemma":[0.96877956,0.016197952,0.0008501304,0.008913247,0.004572098,0.0006869426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010641541,0.0005256758,0.0008328735,0.0010946508,0.0022503692,0.005215871,0.0031740884,0.0022718874,0.010836303],"category_scores_gemma":[0.034478858,0.0010546045,0.0014539403,0.001344156,0.005221153,0.020371132,0.009835608,0.00610739,0.0021568656],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002252505,0.0000621552,0.0012014854,0.00029082244,0.00004204412,0.0002975407,0.00065662665,0.008451116,0.0025832634,0.88595676,0.012594774,0.087638184],"study_design_scores_gemma":[0.000037094826,0.000031872,0.00033280917,0.00019176051,0.00006045751,0.00043651526,0.0004057376,0.058894087,0.0060613304,0.8238117,0.109695375,0.000041165462],"about_ca_topic_score_codex":0.014067072,"about_ca_topic_score_gemma":0.011692574,"teacher_disagreement_score":0.014067072,"about_ca_system_score_codex":0.0037061505,"about_ca_system_score_gemma":0.0032714724,"threshold_uncertainty_score":0.056278527},"labels":[],"label_agreement":null},{"id":"W2400452286","doi":"","title":"CFDnc: A PTIME Description Logic with Functional Constraints and Disjointness.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"P; Negation; Disjoint sets; Computer science; Theoretical computer science; Programming language; Mathematics; Algorithm; Discrete mathematics; Time complexity","score_opus":0.0273750691348643,"score_gpt":0.19594285185426003,"score_spread":0.16856778271939574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400452286","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066960077,0.0009291522,0.9638901,0.002074821,0.00041704264,0.00020833587,0.0030239164,0.0026314983,0.020129118],"genre_scores_gemma":[0.23914905,0.0010025295,0.7376033,0.0021927673,0.00022414474,0.0005330654,0.0044905413,0.0003704059,0.014434279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981754,0.00046047042,0.00025824062,0.00040070852,0.0005365308,0.00016867813],"domain_scores_gemma":[0.9971621,0.0014266811,0.0002041021,0.0004676647,0.0005475104,0.00019195006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024571433,0.0006167605,0.0005100374,0.001306969,0.001019597,0.003400854,0.0023266664,0.0012656546,0.0055189487],"category_scores_gemma":[0.005627711,0.00068218034,0.001504271,0.0015627741,0.0026113295,0.0064557013,0.0027432472,0.00223648,0.00090312096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012505757,0.000038592938,0.0003601825,0.0003727953,0.000035360772,0.00033170255,0.0002894937,0.01728044,0.0018427242,0.9150946,0.010348801,0.05388018],"study_design_scores_gemma":[0.00009745023,0.000055468736,0.00019308749,0.00020651138,0.0000991395,0.00063121045,0.00016601649,0.13497056,0.0077220346,0.6778178,0.17796056,0.00008020144],"about_ca_topic_score_codex":0.013200324,"about_ca_topic_score_gemma":0.0102172345,"teacher_disagreement_score":0.013200324,"about_ca_system_score_codex":0.0031063817,"about_ca_system_score_gemma":0.0031180512,"threshold_uncertainty_score":0.026246965},"labels":[],"label_agreement":null},{"id":"W2400516911","doi":"10.5281/zenodo.14048641","title":"Offshore Holdings Analytics Using Datalog+ RuleML Rules","year":2014,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Datalog; RuleML; Computer science; Analytics; XML; Database; Computer security; World Wide Web; Markup language","score_opus":0.06205063273727168,"score_gpt":0.2633786910374389,"score_spread":0.2013280583001672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400516911","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013572474,0.00051830785,0.91167104,0.0016172586,0.00015462175,0.0013806504,0.023068156,0.03709882,0.01091873],"genre_scores_gemma":[0.09469355,0.0009091815,0.8640863,0.00073505123,0.000085738546,0.0007312156,0.03462811,0.0015967181,0.0025342456],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9922369,0.0022532905,0.0011567959,0.0012136999,0.0029238428,0.00021537814],"domain_scores_gemma":[0.97662246,0.015864711,0.0013799843,0.003696028,0.0021308425,0.000305924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061503127,0.001422899,0.000914547,0.004202992,0.00095454435,0.0074178046,0.0031875595,0.0013125782,0.0048646904],"category_scores_gemma":[0.028805923,0.0012854047,0.0023620718,0.0030758888,0.0015678095,0.0054096626,0.003184596,0.003050421,0.0029919185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007452623,0.0012787288,0.011632179,0.0026742883,0.0005885269,0.0051234984,0.002782811,0.27613467,0.015884887,0.1645292,0.060623426,0.45800254],"study_design_scores_gemma":[0.00018141138,0.00013039309,0.0018328034,0.00076643075,0.00020015423,0.0009380418,0.0008004921,0.6466986,0.02583876,0.15022138,0.17224069,0.0001507878],"about_ca_topic_score_codex":0.014690811,"about_ca_topic_score_gemma":0.02035303,"teacher_disagreement_score":0.014690811,"about_ca_system_score_codex":0.0018161555,"about_ca_system_score_gemma":0.0031954313,"threshold_uncertainty_score":0.032526374},"labels":[],"label_agreement":null},{"id":"W2400736588","doi":"","title":"Automated Construction of System Domain Knowledge Using an Ontology-Based Approach (S).","year":2013,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Ontology; Domain (mathematical analysis); Knowledge-based systems; Software engineering; Artificial intelligence; Mathematics","score_opus":0.012932996666304172,"score_gpt":0.2197311680670372,"score_spread":0.20679817140073303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400736588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069983625,0.00029048196,0.9799202,0.0003302471,0.000041665233,0.00032905166,0.0009225979,0.0042591407,0.006908279],"genre_scores_gemma":[0.0947704,0.00053512136,0.89939743,0.000107502594,0.00001984517,0.00019891263,0.0029161072,0.00029864052,0.0017560257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975575,0.0005586983,0.00024993517,0.00037189442,0.0011007347,0.00016113913],"domain_scores_gemma":[0.9968374,0.0010271044,0.0002678085,0.0010797423,0.00069448346,0.00009347377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001991735,0.00086454395,0.00086594676,0.005620884,0.0015078628,0.004249568,0.0017719192,0.0014034945,0.004363459],"category_scores_gemma":[0.008200803,0.0007883147,0.0025665604,0.0038472046,0.00093438104,0.00448241,0.0031026553,0.001568471,0.0026288305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014696384,0.00068341376,0.004385961,0.0014953773,0.00042928144,0.001102272,0.0016222247,0.043141034,0.030128255,0.060370646,0.019680804,0.8368137],"study_design_scores_gemma":[0.00007695472,0.00012475603,0.0054202583,0.0008637515,0.0005184049,0.0013021231,0.0014707376,0.67501396,0.050292872,0.15685539,0.107904084,0.00015666174],"about_ca_topic_score_codex":0.011600172,"about_ca_topic_score_gemma":0.019137874,"teacher_disagreement_score":0.011600172,"about_ca_system_score_codex":0.001263664,"about_ca_system_score_gemma":0.0041241585,"threshold_uncertainty_score":0.023065269},"labels":[],"label_agreement":null},{"id":"W2401001094","doi":"10.1007/bf03253298","title":"Knowledge Management Research Initiatives in North America","year":2007,"lang":"fr","type":"article","venue":"Annals of Telecommunications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; HEC Montréal","funders":"","keywords":"Political science; Environmental resource management; Knowledge management; Business; Environmental planning; Geography; Computer science; Environmental science","score_opus":0.34408276045774455,"score_gpt":0.47689912845581645,"score_spread":0.1328163679980719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401001094","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26872835,0.09083783,0.0024073666,0.34684405,0.0016166427,0.00013195036,0.0007490862,0.00021044245,0.28847426],"genre_scores_gemma":[0.85229206,0.054342624,0.0082069,0.033560805,0.0006303872,0.00020523758,0.0010118828,0.000047945123,0.04970203],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967758,0.0011547718,0.00016073027,0.00042174553,0.0008248258,0.00066199776],"domain_scores_gemma":[0.98268306,0.006728708,0.0014941237,0.0004924861,0.004985959,0.0036157316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006172296,0.00020369676,0.00037001108,0.0053585973,0.0064407717,0.006119491,0.0011027388,0.0018408219,0.005057615],"category_scores_gemma":[0.009086295,0.0002001951,0.00027086292,0.011711782,0.0043436913,0.004475685,0.0041832468,0.0019079609,0.00027450675],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025262756,0.0006388464,0.052934006,0.0010134219,0.00009022441,0.0009331283,0.024477368,0.00047158147,0.0018149401,0.34344304,0.09883766,0.47509307],"study_design_scores_gemma":[0.000049295835,0.00008930742,0.1221563,0.001493435,0.0000922724,0.0003278163,0.046764538,0.00046865758,0.0011160101,0.03646237,0.79094017,0.00003973373],"about_ca_topic_score_codex":0.25067064,"about_ca_topic_score_gemma":0.41263455,"teacher_disagreement_score":0.25067064,"about_ca_system_score_codex":0.02219416,"about_ca_system_score_gemma":0.07224505,"threshold_uncertainty_score":0.49842316},"labels":[],"label_agreement":null},{"id":"W2401137908","doi":"","title":"Ontario Universities moving forward with DDI.","year":2007,"lang":"en","type":"article","venue":"IASSIST Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Computer science; Engineering","score_opus":0.01977278615702785,"score_gpt":0.2268791029324236,"score_spread":0.20710631677539576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401137908","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068447795,0.011671228,0.008883207,0.18511471,0.005869448,0.00020284414,0.022735674,0.0021347823,0.75654346],"genre_scores_gemma":[0.045026366,0.008346549,0.013573774,0.0065271035,0.00045214256,0.00009235189,0.008827176,0.00031179973,0.9168427],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975489,0.00017901008,0.00007325864,0.00018891499,0.001526585,0.00048343375],"domain_scores_gemma":[0.99445,0.00033184764,0.00016843576,0.00042765346,0.0028246406,0.0017974962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024070698,0.00039451133,0.00042028425,0.0025412524,0.0057111364,0.0066807875,0.0009783845,0.002085345,0.071444],"category_scores_gemma":[0.005529055,0.00040488676,0.00051809405,0.0078071486,0.0012310246,0.0037335167,0.0034369049,0.0017961937,0.016196731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063662796,0.000023172117,0.0037880798,0.00014117327,0.0000117260015,0.00011264527,0.00052201713,0.00020634024,0.00031307666,0.04343409,0.8700379,0.08134617],"study_design_scores_gemma":[0.000006713593,0.0000031000573,0.0024972467,0.000045508375,0.0000050684007,0.000019016865,0.0003240765,0.00012393438,0.0001992881,0.0017516053,0.9950169,0.000007735415],"about_ca_topic_score_codex":0.83157575,"about_ca_topic_score_gemma":0.9198496,"teacher_disagreement_score":0.16842425,"about_ca_system_score_codex":0.03801758,"about_ca_system_score_gemma":0.089609765,"threshold_uncertainty_score":0.3388322},"labels":[],"label_agreement":null},{"id":"W2401489969","doi":"","title":"OPEN MANTRA for Open Access to Information.","year":2007,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mantra; World Wide Web; Computer science; Access to information; Information access; Philosophy; Theology","score_opus":0.08436595565903172,"score_gpt":0.35579700950472365,"score_spread":0.27143105384569194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401489969","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002464859,0.009280425,0.50113326,0.015711805,0.012303792,0.0006032924,0.0058578625,0.043463897,0.4091808],"genre_scores_gemma":[0.081356645,0.015242404,0.38635284,0.009613271,0.012800373,0.0024666272,0.017723897,0.010613352,0.4638306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925371,0.0025905778,0.00081205316,0.0010726413,0.0023808565,0.00060682313],"domain_scores_gemma":[0.9873466,0.0045119016,0.0011487828,0.0044638654,0.0014735752,0.0010553119],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0072767907,0.0014467459,0.0013828619,0.0048644296,0.0023376846,0.010532997,0.0031283277,0.004869517,0.10856446],"category_scores_gemma":[0.032446068,0.0014550692,0.0015094551,0.005325068,0.0044549075,0.02510782,0.008260903,0.006158628,0.07236444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019633779,0.0000667143,0.0003384544,0.0005968799,0.0000364733,0.00028765947,0.00043417767,0.0003226005,0.0013550945,0.71597975,0.17791021,0.10247561],"study_design_scores_gemma":[0.0000440305,0.000049999122,0.00034438435,0.00041902534,0.000026596099,0.00037634376,0.00010344647,0.0014618994,0.0010478322,0.19506359,0.80102706,0.000035728983],"about_ca_topic_score_codex":0.0015232858,"about_ca_topic_score_gemma":0.0018300576,"teacher_disagreement_score":0.99687165,"about_ca_system_score_codex":0.0010710867,"about_ca_system_score_gemma":0.0026940308,"threshold_uncertainty_score":0.36318433},"labels":[],"label_agreement":null},{"id":"W2401600478","doi":"","title":"Usage du web sémantique et maturité informationnelle de l’organisation","year":2016,"lang":"fr","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Humanities; Computer science; Philosophy","score_opus":0.019116207141075908,"score_gpt":0.24144585602153495,"score_spread":0.22232964888045906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401600478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37167314,0.020561846,0.28982142,0.02215238,0.00092942285,0.00045149622,0.010927408,0.006067608,0.27741534],"genre_scores_gemma":[0.7901617,0.010874862,0.09510081,0.0009955649,0.00021641995,0.00023226887,0.008005611,0.0015624459,0.09285027],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99533147,0.0014248973,0.00031190974,0.0004270037,0.0022265445,0.00027810407],"domain_scores_gemma":[0.9918516,0.0024105324,0.0004606535,0.00084204273,0.0041969866,0.00023820388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043745893,0.00055995747,0.00046462318,0.004788859,0.0023762623,0.007952144,0.00065923214,0.00097299524,0.0064836238],"category_scores_gemma":[0.00798035,0.00045957655,0.00054799794,0.0081238635,0.0023047742,0.00629322,0.001033946,0.00178982,0.0017814399],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040282094,0.00018479496,0.03234835,0.0014669662,0.00015813542,0.0014862953,0.049532797,0.008531881,0.03635862,0.14113063,0.06756812,0.6608306],"study_design_scores_gemma":[0.000024778195,0.000051565567,0.06324635,0.0011475533,0.00009291828,0.00097644003,0.012178919,0.02139094,0.01917923,0.01114769,0.87035966,0.00020387518],"about_ca_topic_score_codex":0.5939985,"about_ca_topic_score_gemma":0.54097944,"teacher_disagreement_score":0.5939985,"about_ca_system_score_codex":0.015459169,"about_ca_system_score_gemma":0.009596259,"threshold_uncertainty_score":0.81678504},"labels":[],"label_agreement":null},{"id":"W2401695157","doi":"10.5281/zenodo.3782944","title":"Capitalising on Metadata: Tool Develoment Plans","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; Computer science; World Wide Web","score_opus":0.04769320008005481,"score_gpt":0.259530384611059,"score_spread":0.21183718453100417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401695157","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059643026,0.0026693472,0.7554555,0.015306626,0.00063971593,0.0053409017,0.008571451,0.08922539,0.06314801],"genre_scores_gemma":[0.11838594,0.0018025894,0.8409617,0.00092940434,0.000103434315,0.0018048652,0.01990809,0.0053979657,0.010706039],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9904626,0.0029580635,0.0011061421,0.0011093763,0.0029141516,0.0014497484],"domain_scores_gemma":[0.95920146,0.013459394,0.0011822261,0.0118027385,0.011171465,0.0031827926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03781904,0.0018437208,0.0014427231,0.005897154,0.0020698712,0.0132453395,0.008343358,0.0034309179,0.012601112],"category_scores_gemma":[0.047967136,0.0016408226,0.0020071457,0.005063065,0.0017612444,0.01981393,0.0051664123,0.0032234525,0.008778922],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015289229,0.0021264295,0.014491726,0.0018135349,0.00015293508,0.001555976,0.0035995317,0.024986068,0.020924881,0.07955621,0.07146892,0.7777949],"study_design_scores_gemma":[0.0008807317,0.0012429465,0.006401461,0.0019825802,0.00043696823,0.0016819215,0.0058228713,0.19173682,0.09907412,0.07499731,0.61505896,0.00068330165],"about_ca_topic_score_codex":0.0211173,"about_ca_topic_score_gemma":0.008625324,"teacher_disagreement_score":0.03781904,"about_ca_system_score_codex":0.0035144282,"about_ca_system_score_gemma":0.012018098,"threshold_uncertainty_score":0.20000863},"labels":[],"label_agreement":null},{"id":"W2402223450","doi":"","title":"Using Social Networks for Learning New Concepts in Multi-Agent Systems.","year":2012,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Multi-agent system; Artificial intelligence","score_opus":0.05072101038201104,"score_gpt":0.2965715359142436,"score_spread":0.24585052553223258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402223450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04917117,0.0020743152,0.9391173,0.0020741678,0.00013525157,0.00022294512,0.000282501,0.00046879146,0.006453651],"genre_scores_gemma":[0.62437737,0.0013560326,0.370272,0.00028154068,0.00016796819,0.00043655036,0.00055826164,0.000094362156,0.002455844],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739134,0.001666204,0.0001467193,0.0003929475,0.0003347014,0.00006804186],"domain_scores_gemma":[0.97776276,0.019138219,0.0010482257,0.00097078615,0.0007006949,0.00037929727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047825067,0.0009001186,0.00081861,0.003179739,0.0012730283,0.0022300624,0.0013342542,0.0017229313,0.0027264578],"category_scores_gemma":[0.030036045,0.0006009054,0.0009164251,0.0014892664,0.0018000323,0.010836784,0.0030167042,0.002009269,0.00047632537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039202158,0.0005662732,0.014544805,0.0008163771,0.00077215605,0.00049617456,0.002043129,0.3186657,0.002650562,0.23588999,0.005285351,0.41787735],"study_design_scores_gemma":[0.000030188356,0.000056106364,0.00086201733,0.000067638735,0.00007507553,0.00006592939,0.00030308316,0.659991,0.0010274922,0.33436686,0.003126856,0.000027745806],"about_ca_topic_score_codex":0.0037041367,"about_ca_topic_score_gemma":0.006383483,"teacher_disagreement_score":0.0047825067,"about_ca_system_score_codex":0.0013760292,"about_ca_system_score_gemma":0.00089467195,"threshold_uncertainty_score":0.025292635},"labels":[],"label_agreement":null},{"id":"W2402585642","doi":"","title":"GDE: General Data Exchange with Schema and Data Level Mappings.","year":2013,"lang":"en","type":"article","venue":"AMW","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Schema (genetic algorithms); Data exchange; Set (abstract data type); Theoretical computer science; Information retrieval; Knowledge base; Data mining; Database; Artificial intelligence; Programming language","score_opus":0.1849158307224279,"score_gpt":0.3045156726178656,"score_spread":0.11959984189543771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402585642","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015258472,0.001159651,0.9837595,0.0021777523,0.00030525198,0.0005301513,0.0016225978,0.0018099324,0.0071093286],"genre_scores_gemma":[0.054948412,0.002255959,0.9220268,0.0027732472,0.0006452499,0.0018754881,0.0074321837,0.0006870173,0.007355757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97388905,0.010819466,0.004069068,0.005309029,0.0048807445,0.0010326965],"domain_scores_gemma":[0.97928226,0.006421024,0.0012828754,0.010964083,0.0013613597,0.0006883863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017061519,0.0019162466,0.0021724706,0.0039265445,0.0024593147,0.010876314,0.007301461,0.005913572,0.008540842],"category_scores_gemma":[0.031706817,0.0020978325,0.0032520383,0.008348942,0.0066392254,0.025837164,0.01521817,0.008980114,0.0058099832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011449771,0.00007513442,0.00056106725,0.0004306252,0.000075394535,0.00041856087,0.0007184324,0.0038349628,0.001122022,0.9306825,0.015888788,0.04607806],"study_design_scores_gemma":[0.00006995036,0.00007610134,0.00027455686,0.00032983196,0.00005965475,0.0013275304,0.00034159102,0.028363748,0.0022898098,0.6862228,0.28057873,0.00006564827],"about_ca_topic_score_codex":0.0030921956,"about_ca_topic_score_gemma":0.0018339726,"teacher_disagreement_score":0.017061519,"about_ca_system_score_codex":0.003939082,"about_ca_system_score_gemma":0.0040236684,"threshold_uncertainty_score":0.090231},"labels":[],"label_agreement":null},{"id":"W2402617999","doi":"10.3233/978-1-61499-438-1-9","title":"A Sideways Look at Upper Ontologies","year":2014,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; University of Toronto","funders":"","keywords":"Computer science","score_opus":0.04175325912568649,"score_gpt":0.26383621035740673,"score_spread":0.22208295123172023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402617999","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004420485,0.039087906,0.23402189,0.058827356,0.0044531333,0.000048738148,0.00018371547,0.0004501751,0.6585066],"genre_scores_gemma":[0.2823728,0.061844405,0.24199343,0.04707557,0.0068980353,0.00031376377,0.0009225337,0.0014039578,0.3571755],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971795,0.0010819938,0.00012278002,0.00041403438,0.00094965985,0.00025204578],"domain_scores_gemma":[0.9976006,0.0011541568,0.0000883557,0.00065781624,0.00031095868,0.00018810156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003188231,0.0007330606,0.00076957856,0.002218998,0.0035594874,0.009748364,0.0019325734,0.003540402,0.010411802],"category_scores_gemma":[0.0033563552,0.00054484623,0.0011824038,0.0029765633,0.012798149,0.031311497,0.005677435,0.011068371,0.004112942],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025800018,0.000004510525,0.000013662118,0.000023125036,0.0000014120872,0.00001789468,0.00042234425,0.000107004984,0.00006938308,0.98859125,0.004031613,0.006715281],"study_design_scores_gemma":[0.0000020017983,0.0000051469915,0.000028410304,0.00014288019,0.0000033120896,0.00006945835,0.0003511664,0.00039775143,0.00013656287,0.672695,0.3261607,0.0000076352135],"about_ca_topic_score_codex":0.004365175,"about_ca_topic_score_gemma":0.0044538733,"teacher_disagreement_score":0.010411802,"about_ca_system_score_codex":0.0039360784,"about_ca_system_score_gemma":0.0021830061,"threshold_uncertainty_score":0.034830928},"labels":[],"label_agreement":null},{"id":"W2402658817","doi":"","title":"Distributed Rule-based Agents with Rule Responder and Reaction RuleML 1.0.","year":2014,"lang":"en","type":"article","venue":"Rules and Rule Markup Languages for the Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Rule-based system; Programming language; World Wide Web; XML; Markup language","score_opus":0.010758275137204273,"score_gpt":0.2431307800827881,"score_spread":0.2323725049455838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402658817","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004833663,0.0002098022,0.89203453,0.00033475846,0.00020745781,0.0010073094,0.0012784152,0.085648306,0.014445838],"genre_scores_gemma":[0.13004375,0.0003723811,0.8274896,0.0007431662,0.00013250687,0.0013948446,0.0070637926,0.0040691886,0.028690731],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958335,0.0010807096,0.00061757,0.0008406063,0.0013799727,0.00024771603],"domain_scores_gemma":[0.991092,0.0036808767,0.00048264317,0.0027449923,0.0015067037,0.0004927262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005333149,0.0013360019,0.0013717068,0.0012614742,0.0010499466,0.005129858,0.005175493,0.0025545512,0.0108479215],"category_scores_gemma":[0.017669905,0.0012196754,0.001420044,0.0009274225,0.0011842258,0.0035878313,0.0030931085,0.0030295078,0.008907271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031289232,0.003086979,0.0049494314,0.0017302154,0.0009934413,0.0025084855,0.0025925995,0.12736137,0.051961552,0.16419257,0.12702279,0.5104716],"study_design_scores_gemma":[0.0005999482,0.00026070443,0.0006629108,0.0002263723,0.00043234084,0.0005151409,0.00018399104,0.6598623,0.05250863,0.095644854,0.18892081,0.00018201578],"about_ca_topic_score_codex":0.0048051192,"about_ca_topic_score_gemma":0.0045737536,"teacher_disagreement_score":0.0108479215,"about_ca_system_score_codex":0.00077644316,"about_ca_system_score_gemma":0.0027847865,"threshold_uncertainty_score":0.03628993},"labels":[],"label_agreement":null},{"id":"W2402706576","doi":"","title":"Specifying ontology design patterns with an ontology repository","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Ontology components; Computer science; Process ontology; Upper ontology; Ontology-based data integration; Open Biomedical Ontologies; Suggested Upper Merged Ontology; Information retrieval; Set (abstract data type); Variety (cybernetics); Theme (computing); Interpretation (philosophy); World Wide Web; Semantic Web; Artificial intelligence; Programming language","score_opus":0.05535524497183058,"score_gpt":0.26228578560452087,"score_spread":0.20693054063269029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402706576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008437494,0.000095230454,0.9834116,0.0007611352,0.000063079904,0.00026735998,0.00029359886,0.0027399275,0.0039306385],"genre_scores_gemma":[0.08162294,0.00019124366,0.9119338,0.00028785178,0.00003408677,0.00043939272,0.0012218048,0.00073913555,0.003529773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9804894,0.007434472,0.0031742519,0.0024378018,0.005542993,0.00092118926],"domain_scores_gemma":[0.9812383,0.0075025926,0.0018224268,0.0069216858,0.0019508973,0.0005641853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020279536,0.0010830959,0.0014652655,0.003984633,0.0020183742,0.008202673,0.004132082,0.0025370135,0.0031571218],"category_scores_gemma":[0.024964862,0.0019568224,0.0032901918,0.0047574504,0.004169902,0.019515669,0.009261033,0.0044766557,0.0011467044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013963332,0.00029685354,0.0023857325,0.00039412646,0.00016518465,0.0013748464,0.0032362875,0.019388825,0.005347782,0.87430084,0.006770756,0.08619922],"study_design_scores_gemma":[0.00016419968,0.00013473004,0.00041040505,0.00054322934,0.00019192332,0.001637526,0.001618801,0.17018469,0.01813873,0.6510978,0.15571043,0.00016743488],"about_ca_topic_score_codex":0.0029532856,"about_ca_topic_score_gemma":0.0043333285,"teacher_disagreement_score":0.020279536,"about_ca_system_score_codex":0.002366313,"about_ca_system_score_gemma":0.004238076,"threshold_uncertainty_score":0.10724974},"labels":[],"label_agreement":null},{"id":"W2402783090","doi":"10.1109/isi.2008.4565043","title":"Identity management architecture","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Identity management; Computer science; Identity (music); Interoperability; Variety (cybernetics); Context (archaeology); Knowledge management; Key (lock); Computer security; World Wide Web; Access control; Artificial intelligence","score_opus":0.020850873633576062,"score_gpt":0.23923986635185063,"score_spread":0.21838899271827455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402783090","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006676521,0.0011612227,0.87120795,0.0047920337,0.00037884776,0.00052780414,0.00038535468,0.0039292616,0.11094105],"genre_scores_gemma":[0.2085856,0.0030185664,0.68170315,0.002098733,0.00039317596,0.0009131268,0.002751801,0.0005472007,0.09998869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971384,0.00058140204,0.00029558237,0.00063170964,0.0010305303,0.0003223022],"domain_scores_gemma":[0.99871254,0.00014420874,0.00009432022,0.00039422672,0.0004956219,0.0001591712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026786472,0.00056020246,0.0005487655,0.0015306065,0.002894494,0.0074283127,0.0035069878,0.0026398732,0.007910872],"category_scores_gemma":[0.0029411453,0.0004773535,0.00077346305,0.0022798532,0.0018008549,0.006230409,0.0051133484,0.002110686,0.0065886956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032350206,0.00008737823,0.0005555875,0.00014103846,0.000036938334,0.00016786726,0.00064967654,0.0057489523,0.0020989422,0.8985563,0.015612123,0.076312855],"study_design_scores_gemma":[0.00002874455,0.00005193709,0.0006058685,0.00016551332,0.00006614389,0.0005256322,0.0004051107,0.05307789,0.003446516,0.39527154,0.54630405,0.000051039173],"about_ca_topic_score_codex":0.005344348,"about_ca_topic_score_gemma":0.0037462818,"teacher_disagreement_score":0.007910872,"about_ca_system_score_codex":0.0029464427,"about_ca_system_score_gemma":0.0050121723,"threshold_uncertainty_score":0.026464522},"labels":[],"label_agreement":null},{"id":"W2402872817","doi":"","title":"Buttons & Scissors is NP-Complete.","year":2015,"lang":"en","type":"article","venue":"Canadian Conference on Computational Geometry","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","score_opus":0.11160446627365601,"score_gpt":0.28406016141787976,"score_spread":0.17245569514422376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402872817","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09893411,0.004739914,0.34026712,0.08001639,0.004012772,0.0019749098,0.039804157,0.00800692,0.42224368],"genre_scores_gemma":[0.5107661,0.0045236065,0.23882277,0.010158813,0.002385837,0.0017236233,0.035868168,0.0036571706,0.19209388],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961927,0.00067307183,0.00028251158,0.0010949317,0.0009200354,0.00083678996],"domain_scores_gemma":[0.9809347,0.014695661,0.0006587344,0.00147885,0.0014864827,0.00074556837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021556027,0.0018236248,0.003347379,0.0018058531,0.0058530453,0.009936414,0.0033822418,0.0051113935,0.06617689],"category_scores_gemma":[0.015269157,0.0017226983,0.0055606174,0.0037483328,0.0047070095,0.01813896,0.004145612,0.008532544,0.009520332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007959447,0.0006255669,0.0017302562,0.002866534,0.00042181718,0.0013327176,0.0005909386,0.030550515,0.003123048,0.5319181,0.29463714,0.13140741],"study_design_scores_gemma":[0.00019496727,0.000044051572,0.00047439142,0.000139943,0.000110898465,0.0005413831,0.00043867508,0.024238698,0.0017450198,0.9238668,0.048155315,0.000049831546],"about_ca_topic_score_codex":0.0132041825,"about_ca_topic_score_gemma":0.022340972,"teacher_disagreement_score":0.06617689,"about_ca_system_score_codex":0.0038883882,"about_ca_system_score_gemma":0.005938622,"threshold_uncertainty_score":0.22138375},"labels":[],"label_agreement":null},{"id":"W2403075449","doi":"","title":"Absorption for ABoxes with Local Universal Restrictions.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; SPARQL; Named graph; Axiom; RDF; Consistency (knowledge bases); Transitive relation; Theoretical computer science; Graph; Property (philosophy); Feature (linguistics); Information retrieval; Semantic Web; Artificial intelligence; Mathematics","score_opus":0.012600520492432451,"score_gpt":0.21377722278248873,"score_spread":0.20117670229005627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403075449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033872038,0.0002812117,0.94680476,0.0006255541,0.00012563786,0.00042904695,0.000693192,0.0059339204,0.011234575],"genre_scores_gemma":[0.45224968,0.00020167214,0.5367403,0.0005855194,0.00011248363,0.0002850531,0.0010043213,0.00112768,0.0076933703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99373865,0.0015242221,0.0008136948,0.0012002971,0.0020773155,0.0006457693],"domain_scores_gemma":[0.99031,0.0055726767,0.0007898229,0.0013996374,0.0016843047,0.00024364187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061790156,0.00077062246,0.0008834654,0.002724384,0.0016438321,0.0045607677,0.002049992,0.0014104021,0.0065739397],"category_scores_gemma":[0.016692279,0.0013185906,0.0020059757,0.0018144585,0.0029289883,0.0111031905,0.0036760038,0.0028920523,0.0013015759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003970777,0.00023724821,0.0069052647,0.00077205896,0.00018461498,0.00085692917,0.0027314695,0.0050746156,0.016136555,0.8117187,0.008802773,0.1461827],"study_design_scores_gemma":[0.00009647206,0.0001467481,0.0020432712,0.00045905472,0.00035191324,0.0014107031,0.0017230142,0.13228296,0.0695371,0.7129583,0.07883598,0.00015444872],"about_ca_topic_score_codex":0.005939977,"about_ca_topic_score_gemma":0.0074803154,"teacher_disagreement_score":0.0065739397,"about_ca_system_score_codex":0.0018340347,"about_ca_system_score_gemma":0.0018909249,"threshold_uncertainty_score":0.032678187},"labels":[],"label_agreement":null},{"id":"W2403205376","doi":"10.3233/978-1-60750-806-9-719","title":"A Methodology and Supply Chain Management Inspired Reference Ontology for Modeling Healthcare Teams","year":2011,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ontology; Knowledge management; Supply chain; Health care; Process management; Domain (mathematical analysis); Function (biology); Computer science; ICTS; Supply chain management; Information and Communications Technology; Business; World Wide Web; Marketing; Political science","score_opus":0.25854312374040445,"score_gpt":0.39672164906379814,"score_spread":0.1381785253233937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403205376","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031425657,0.00021251508,0.98703253,0.0013692516,0.000068156856,0.0002886828,0.0003018873,0.00022682319,0.007357533],"genre_scores_gemma":[0.035259932,0.00038081172,0.9606977,0.0001729371,0.000022358017,0.00048697807,0.000729782,0.00006525965,0.0021842322],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959544,0.0018343742,0.00066432066,0.0005819688,0.0007410531,0.00022391388],"domain_scores_gemma":[0.9966658,0.0012311914,0.00036995215,0.0006317315,0.0008547136,0.0002465762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065108673,0.0006629125,0.0005853742,0.004992033,0.0023389305,0.0052782716,0.003103272,0.002449481,0.0027301307],"category_scores_gemma":[0.0076736156,0.00071786315,0.003258532,0.0062216637,0.002800662,0.0076472163,0.003473601,0.0021166017,0.00078254414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001371973,0.00005756261,0.0009099085,0.0001553617,0.0000435914,0.00034158933,0.002262203,0.015550149,0.00073311734,0.9400178,0.002956715,0.036958184],"study_design_scores_gemma":[0.000048653477,0.00006184997,0.000770663,0.0005355225,0.0001092835,0.0007979184,0.003082323,0.14905567,0.0018263872,0.5911207,0.2525054,0.000085595944],"about_ca_topic_score_codex":0.02260422,"about_ca_topic_score_gemma":0.019442985,"teacher_disagreement_score":0.02260422,"about_ca_system_score_codex":0.003913537,"about_ca_system_score_gemma":0.007830431,"threshold_uncertainty_score":0.0449453},"labels":[],"label_agreement":null},{"id":"W2403414928","doi":"","title":"Semantische Technologien in Archiven - Die Verknüpfung heterogener Datenbestände.","year":2013,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Die (integrated circuit); Computer science; Operating system","score_opus":0.019198500183306048,"score_gpt":0.22889343063817597,"score_spread":0.20969493045486992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403414928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035285298,0.028347617,0.81661355,0.010244957,0.0013703712,0.00028476145,0.0034908392,0.0056051416,0.09875753],"genre_scores_gemma":[0.33776984,0.018903509,0.6038892,0.0014327191,0.00050452905,0.00035332018,0.007192727,0.0014568558,0.028497316],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941929,0.0025311015,0.0006878961,0.0006786912,0.0016573663,0.00025213874],"domain_scores_gemma":[0.99372995,0.002657366,0.00030045814,0.0024125744,0.00076010864,0.0001397011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005796967,0.00065211323,0.0007032892,0.0035823751,0.0017401652,0.011437295,0.001772325,0.0022883345,0.00559486],"category_scores_gemma":[0.011579966,0.0009547299,0.0010932091,0.0050168806,0.0038701994,0.020398384,0.0045902086,0.0037385232,0.0035249186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020101291,0.00017885536,0.0020469518,0.0007767434,0.00011606431,0.00084303407,0.0030085417,0.0050236057,0.0052832505,0.7644865,0.016458891,0.20157653],"study_design_scores_gemma":[0.000049371814,0.000046496203,0.0014748897,0.0008845225,0.00013637352,0.0019341934,0.0030011034,0.022863733,0.018339805,0.64772457,0.30347273,0.00007208351],"about_ca_topic_score_codex":0.0034067412,"about_ca_topic_score_gemma":0.0036718845,"teacher_disagreement_score":0.011437295,"about_ca_system_score_codex":0.0018035817,"about_ca_system_score_gemma":0.0024460673,"threshold_uncertainty_score":0.030657649},"labels":[],"label_agreement":null},{"id":"W2403755595","doi":"","title":"PSOA RuleML Integration of Relational and Object-Centered Geospatial Data.","year":2015,"lang":"en","type":"article","venue":"Rules and Rule Markup Languages for the Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Geospatial analysis; Computer science; Relational database; Geospatial PDF; Object (grammar); Set (abstract data type); RuleML; Web Coverage Service; Information retrieval; Database; Data mining; XML; Web service; World Wide Web; Programming language; Data Web; Markup language; Artificial intelligence; Web mapping; Geography","score_opus":0.052032359309872815,"score_gpt":0.28980295161496356,"score_spread":0.23777059230509073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403755595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005138403,0.00030192392,0.959717,0.0006606087,0.00025566004,0.0007015999,0.0035173898,0.010789624,0.018917788],"genre_scores_gemma":[0.09838909,0.0005277248,0.87088597,0.00088232744,0.00011162514,0.0009324427,0.011598258,0.0014069506,0.015265562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9924596,0.0018560211,0.0012187179,0.0012159589,0.003038868,0.00021080834],"domain_scores_gemma":[0.9906624,0.0039542452,0.00070616865,0.0023421973,0.0020486098,0.00028633737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004896369,0.001027731,0.0007698136,0.0031720598,0.0010984925,0.0067067156,0.0027799453,0.0015257623,0.005481416],"category_scores_gemma":[0.014922337,0.0008632508,0.002415898,0.0024775288,0.0015009793,0.0048273937,0.0033399723,0.0026885543,0.004515493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042080707,0.0009887741,0.0075532948,0.0019390623,0.0006320527,0.0051034163,0.0036050598,0.042195812,0.024034519,0.44395998,0.05170505,0.4178621],"study_design_scores_gemma":[0.00007807992,0.00014895698,0.0017505576,0.0005625165,0.00031442274,0.0022020093,0.00064514123,0.2786613,0.049448602,0.16030593,0.50573367,0.00014886721],"about_ca_topic_score_codex":0.0054260683,"about_ca_topic_score_gemma":0.0072065666,"teacher_disagreement_score":0.0067067156,"about_ca_system_score_codex":0.0010371034,"about_ca_system_score_gemma":0.0032506676,"threshold_uncertainty_score":0.02589482},"labels":[],"label_agreement":null},{"id":"W2403846409","doi":"","title":"Grailog KS Viz: A Grailog Visualizer for Datalog RuleML Using an XSLT Translator to SVG","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"XSLT; Computer science; Scalable Vector Graphics; Datalog; Programming language; XML; Streaming XML; Style sheet; Node (physics); XML Schema (W3C); Information retrieval; World Wide Web; XML Encryption","score_opus":0.0780031089810217,"score_gpt":0.33883043443245064,"score_spread":0.26082732545142895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403846409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035783346,0.00012260255,0.5773463,0.00032818687,0.000116999,0.00026828347,0.012322309,0.3918725,0.014044427],"genre_scores_gemma":[0.08518056,0.00070251734,0.72265327,0.00087358645,0.000091087975,0.0010328065,0.042141907,0.116908155,0.030416166],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994715,0.00010263767,0.000059237955,0.0000915328,0.00023713944,0.000038075195],"domain_scores_gemma":[0.9988588,0.0005882791,0.00008254407,0.00023744993,0.00018531,0.000047627596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081254693,0.0011868926,0.00038840034,0.0019382816,0.00025020156,0.0022953385,0.0012112504,0.00093509845,0.037314363],"category_scores_gemma":[0.0033943744,0.00065245887,0.00067769556,0.001045456,0.00044852335,0.0014466873,0.0013416826,0.001731931,0.01589987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006322447,0.0002054971,0.0015788408,0.0015508651,0.00012218897,0.0017138507,0.0014173066,0.010730976,0.03941876,0.0539658,0.3267667,0.56189704],"study_design_scores_gemma":[0.00023870026,0.00010182067,0.0012632507,0.00031820647,0.000043861364,0.00124299,0.00017077549,0.09858885,0.057186343,0.03089921,0.80979973,0.00014619452],"about_ca_topic_score_codex":0.0016564613,"about_ca_topic_score_gemma":0.0022626596,"teacher_disagreement_score":0.037314363,"about_ca_system_score_codex":0.00057778193,"about_ca_system_score_gemma":0.0010234987,"threshold_uncertainty_score":0.124828935},"labels":[],"label_agreement":null},{"id":"W2404418069","doi":"","title":"Entwicklung einer Benutzeroberfläche zur interaktiven Regelgenerierung für die Suche in historischen Dokumenten.","year":2011,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Philosophy","score_opus":0.030143069813713588,"score_gpt":0.242630758990537,"score_spread":0.2124876891768234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404418069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01587961,0.0014953485,0.9569251,0.0018721757,0.00020710046,0.0004854737,0.0003107544,0.005199536,0.017625062],"genre_scores_gemma":[0.23612827,0.001630209,0.74525744,0.0005092305,0.00009080612,0.0005601156,0.0010905295,0.0008659472,0.013867443],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968923,0.0012343661,0.00024360525,0.0004980695,0.0009051357,0.00022656973],"domain_scores_gemma":[0.995565,0.002106202,0.00013571417,0.0013432533,0.00074277236,0.0001069355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004492757,0.0009649185,0.0008586588,0.0010487235,0.00096520584,0.0040426077,0.0018984571,0.002144303,0.011665368],"category_scores_gemma":[0.014635137,0.00081072364,0.0009905295,0.00077493046,0.001524758,0.005955223,0.004041625,0.0039888136,0.00405036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006582221,0.0006272838,0.002183795,0.0011289563,0.0001958061,0.0005323719,0.0020835435,0.044829573,0.020907383,0.18109365,0.017070692,0.72868884],"study_design_scores_gemma":[0.00022075565,0.0003148424,0.0010088936,0.0006186258,0.00019988453,0.000692125,0.00090494443,0.5033834,0.06793749,0.26875257,0.15587874,0.00008783264],"about_ca_topic_score_codex":0.0024861996,"about_ca_topic_score_gemma":0.0029428448,"teacher_disagreement_score":0.011665368,"about_ca_system_score_codex":0.0011873659,"about_ca_system_score_gemma":0.0020772566,"threshold_uncertainty_score":0.03902459},"labels":[],"label_agreement":null},{"id":"W2404523947","doi":"","title":"Towards Semantic Integration of Legacy Databases for Homeland Security.","year":2005,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Metadata; Ontology; World Wide Web; Context (archaeology); Vocabulary; Database; Homeland security; Semantic Web; Information retrieval","score_opus":0.1757340789809956,"score_gpt":0.37876546945676454,"score_spread":0.20303139047576893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404523947","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008768144,0.0038135424,0.9610864,0.0052406965,0.0005304632,0.00034300186,0.000650801,0.0026665772,0.016900389],"genre_scores_gemma":[0.077743724,0.0037921781,0.9066866,0.0017059318,0.00020836323,0.00024664018,0.005046615,0.00040336218,0.004166621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9934323,0.0023304836,0.0010002564,0.0006212608,0.0023193776,0.00029632958],"domain_scores_gemma":[0.9923189,0.0013226703,0.0005713058,0.0026075167,0.002675761,0.0005037527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015073273,0.0007111798,0.0010010994,0.0044630296,0.002130929,0.009779511,0.0032094214,0.0022790714,0.0017851593],"category_scores_gemma":[0.014400124,0.0007743864,0.0017471081,0.005206379,0.0020547847,0.022534737,0.011064639,0.003626741,0.0011459652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000128924,0.00024659667,0.003620185,0.00075309334,0.00027752537,0.0011741995,0.0046736975,0.005192658,0.0054729246,0.67178327,0.03455576,0.27212125],"study_design_scores_gemma":[0.000040295214,0.00006247036,0.002068173,0.0014693787,0.00029535667,0.0010839573,0.004904017,0.068565406,0.006821002,0.38787532,0.52672446,0.00009016535],"about_ca_topic_score_codex":0.005566659,"about_ca_topic_score_gemma":0.007966769,"teacher_disagreement_score":0.015073273,"about_ca_system_score_codex":0.0022265182,"about_ca_system_score_gemma":0.004624575,"threshold_uncertainty_score":0.07971603},"labels":[],"label_agreement":null},{"id":"W2404631988","doi":"","title":"WebTLab: A cooccurrence-based approach to KBP 2010 Entity-Linking task.","year":2010,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intuition; Computer science; Task (project management); Information retrieval; Knowledge base; Artificial intelligence; Machine learning; Data mining; Cognitive science; Engineering","score_opus":0.012834189241140964,"score_gpt":0.24869893560562792,"score_spread":0.23586474636448695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404631988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022041716,0.0016469872,0.8953854,0.0011069499,0.0005606908,0.0018763426,0.027076825,0.03644153,0.013863588],"genre_scores_gemma":[0.08075626,0.0005172377,0.85173047,0.00039367686,0.00015953442,0.0016566515,0.05702734,0.0013473015,0.006411478],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942821,0.0020979939,0.0004774169,0.0012918087,0.0015973776,0.0002532734],"domain_scores_gemma":[0.9916638,0.0045378576,0.0006141495,0.0012618974,0.0014684835,0.00045379202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035791493,0.0022302363,0.0014754765,0.011675081,0.0026075866,0.0038449664,0.0036109127,0.0036321918,0.011956112],"category_scores_gemma":[0.021368042,0.0008956766,0.001223549,0.009008932,0.00067991577,0.0072531574,0.0056931823,0.0028039028,0.012418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096579135,0.0012804972,0.004979157,0.0025314353,0.0005693302,0.001041064,0.0013870163,0.014901724,0.0188986,0.015723739,0.17006953,0.7676521],"study_design_scores_gemma":[0.0003453776,0.00041548995,0.010907162,0.0004240777,0.00045486965,0.002548184,0.0022696378,0.61342674,0.036929086,0.08737871,0.24453425,0.00036641312],"about_ca_topic_score_codex":0.0110937925,"about_ca_topic_score_gemma":0.015422735,"teacher_disagreement_score":0.011956112,"about_ca_system_score_codex":0.0011441845,"about_ca_system_score_gemma":0.0029176374,"threshold_uncertainty_score":0.03999722},"labels":[],"label_agreement":null},{"id":"W2404660725","doi":"","title":"BioMixer: A Web-based Collaborative Ontology Visualization Tool.","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Ontology; Visualization; Computer science; World Wide Web; Human–computer interaction; Data mining","score_opus":0.01779339676821126,"score_gpt":0.28384979336500044,"score_spread":0.26605639659678915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404660725","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008835963,0.000808083,0.790206,0.00062931224,0.00023388075,0.00025157802,0.005043273,0.18014546,0.013846456],"genre_scores_gemma":[0.062171172,0.0013548508,0.8830156,0.0005089837,0.000084988926,0.0006976555,0.015323282,0.013082845,0.023760771],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99943024,0.000108175715,0.000048557224,0.00011437494,0.0002610405,0.000037525195],"domain_scores_gemma":[0.99874735,0.00063898024,0.00014333213,0.0001983906,0.00012784345,0.0001439925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014711847,0.0011396159,0.00056811055,0.0025863182,0.0006027917,0.0018748001,0.0015547497,0.0011748603,0.012676372],"category_scores_gemma":[0.004043497,0.00061254704,0.0008610541,0.0014577972,0.0004151705,0.003603016,0.0034013742,0.0015223954,0.0043860707],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008073012,0.00053207827,0.0041260747,0.0020135152,0.00033354433,0.002270954,0.0032753157,0.0057450174,0.09302386,0.045256667,0.23746634,0.6051493],"study_design_scores_gemma":[0.00025475328,0.00015250142,0.004335924,0.00049074885,0.00013295122,0.0028983576,0.00062112353,0.07170859,0.0702113,0.045393687,0.8035297,0.00027041257],"about_ca_topic_score_codex":0.0011897843,"about_ca_topic_score_gemma":0.0025388796,"teacher_disagreement_score":0.012676372,"about_ca_system_score_codex":0.00037616692,"about_ca_system_score_gemma":0.0010315512,"threshold_uncertainty_score":0.04240662},"labels":[],"label_agreement":null},{"id":"W2404790257","doi":"","title":"Complete Classification of Complex ALCHO Ontologies Using a Hybrid Reasoning Approach.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Semantic reasoner; Computer science; Description logic; Ontology; Web Ontology Language; Classifier (UML); Artificial intelligence; Natural language processing; Programming language; Theoretical computer science; Semantic Web","score_opus":0.12913843183632953,"score_gpt":0.2886842759642352,"score_spread":0.15954584412790565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404790257","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03871799,0.00013123263,0.9570233,0.00024422322,0.000031677988,0.00020735119,0.00025810956,0.0016264282,0.0017597112],"genre_scores_gemma":[0.22313893,0.00013316332,0.77277607,0.00014454879,0.00002447986,0.00013478633,0.0012219375,0.00015734017,0.0022687665],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969574,0.0005893927,0.0003945581,0.00065649376,0.0012017054,0.00020047855],"domain_scores_gemma":[0.995199,0.0018839262,0.00036832297,0.0012333981,0.0011613907,0.00015399673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028098873,0.0006658921,0.0008258176,0.00201267,0.0011811643,0.0025061248,0.0015799671,0.00087954046,0.0019171323],"category_scores_gemma":[0.008257145,0.00048694492,0.002274998,0.0011336721,0.0014184882,0.0043657073,0.0023202533,0.0012957471,0.0005380625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075815275,0.0005146564,0.01952286,0.001052061,0.00046504315,0.0011771859,0.0028063015,0.101635255,0.08993082,0.17282926,0.0090013,0.6003071],"study_design_scores_gemma":[0.000052997028,0.00012405518,0.0037357444,0.00011959342,0.00020832951,0.00066950364,0.00068316824,0.79742116,0.06131016,0.11112723,0.024477834,0.0000701946],"about_ca_topic_score_codex":0.006394225,"about_ca_topic_score_gemma":0.010283403,"teacher_disagreement_score":0.006394225,"about_ca_system_score_codex":0.001458259,"about_ca_system_score_gemma":0.0023037898,"threshold_uncertainty_score":0.014860272},"labels":[],"label_agreement":null},{"id":"W2404805358","doi":"","title":"Xtrieval Web Lab - Information Retrieval Experimentation as a (Web) Service.","year":2013,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"World Wide Web; Computer science; Service (business); Information retrieval; Web service; Web intelligence; Web development; Web standards; Business","score_opus":0.015044499076786537,"score_gpt":0.24359943358854474,"score_spread":0.2285549345117582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404805358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4300243,0.0012860651,0.2853509,0.0017450921,0.0008614094,0.0048155244,0.018152654,0.10140072,0.15636334],"genre_scores_gemma":[0.64902663,0.00045559296,0.21952637,0.00096102845,0.0001998376,0.0030026354,0.02610905,0.0038498922,0.09686897],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99757594,0.0012925573,0.00009135658,0.00029484107,0.00055969955,0.00018562845],"domain_scores_gemma":[0.99709296,0.0009575651,0.00007978545,0.0008784367,0.000700053,0.0002911689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029133374,0.00062840927,0.00052526005,0.0010372966,0.00075095595,0.001424125,0.0012682272,0.0010726347,0.032785796],"category_scores_gemma":[0.003533221,0.00033022952,0.0004464496,0.0007720558,0.0005044929,0.0021414307,0.0014430074,0.00095808686,0.01317078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010082696,0.013095815,0.010841646,0.0018054991,0.00042395174,0.0012957208,0.0017313182,0.017518118,0.320315,0.042511273,0.16228576,0.41809317],"study_design_scores_gemma":[0.0019170926,0.006839504,0.016472606,0.00015701308,0.00021452161,0.0012062694,0.00097062445,0.2160707,0.5229837,0.008721752,0.22424771,0.00019855944],"about_ca_topic_score_codex":0.0028897019,"about_ca_topic_score_gemma":0.0021901578,"teacher_disagreement_score":0.032785796,"about_ca_system_score_codex":0.0007994514,"about_ca_system_score_gemma":0.0010869084,"threshold_uncertainty_score":0.10967946},"labels":[],"label_agreement":null},{"id":"W2404837633","doi":"","title":"Conjunctive query answering in distributed ontology systems for ontologies with large OWL ABoxes","year":2009,"lang":"en","type":"article","venue":"Research Publications (Maastricht University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Ontology; Conjunctive query; Information retrieval; Web Ontology Language; Web query classification; Query language; Query optimization; Query expansion; Sargable; Set (abstract data type); Web search query; Construct (python library); Semantic Web; Search engine; Programming language; Relational database","score_opus":0.06383734209559637,"score_gpt":0.3199586848347136,"score_spread":0.25612134273911724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404837633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028324056,0.0001722251,0.96735483,0.0005151066,0.00003529914,0.00021939453,0.00014586684,0.0014530455,0.0017801549],"genre_scores_gemma":[0.3499078,0.00015712838,0.64581627,0.00041670725,0.000100091995,0.00031885755,0.0006401524,0.0002476252,0.0023953859],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9895745,0.0035448917,0.0009080156,0.0018990053,0.0034375347,0.0006360422],"domain_scores_gemma":[0.98007727,0.014372395,0.00088594825,0.002457253,0.0018437562,0.00036330216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009777064,0.0006218229,0.0012448605,0.0011434817,0.0019507033,0.0045314617,0.002339363,0.0014279059,0.002848975],"category_scores_gemma":[0.022168087,0.0008469832,0.0015480018,0.0019338874,0.0029869655,0.0060912943,0.0043918653,0.002208225,0.0007276308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015664534,0.0010077783,0.006562015,0.001150593,0.0006144543,0.0048886007,0.008140841,0.16693221,0.048690382,0.4395252,0.01857983,0.30234164],"study_design_scores_gemma":[0.00026962548,0.00013309398,0.00080474274,0.000060526036,0.00022248061,0.00066211796,0.001139123,0.7474874,0.021819217,0.21649012,0.010852724,0.000058787446],"about_ca_topic_score_codex":0.008708893,"about_ca_topic_score_gemma":0.0074245585,"teacher_disagreement_score":0.009777064,"about_ca_system_score_codex":0.0021994892,"about_ca_system_score_gemma":0.0019697533,"threshold_uncertainty_score":0.05170667},"labels":[],"label_agreement":null},{"id":"W2405208782","doi":"","title":"An Event-Driven Approach for Querying Graph-Structured Data Using Natural Language.","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"SPARQL; Computer science; Query language; Semantics (computer science); RDF query language; Denotational semantics; Linked data; Graph; Natural language; Formal semantics (linguistics); Natural language processing; Information retrieval; Programming language; Semantic Web; Theoretical computer science; Web search query; RDF; Web query classification; Operational semantics","score_opus":0.04815910937150941,"score_gpt":0.3255745660764617,"score_spread":0.27741545670495227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405208782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009141907,0.0001452319,0.9905205,0.0006329896,0.00007074691,0.00035491877,0.0013151283,0.003374554,0.0026717728],"genre_scores_gemma":[0.038061667,0.00035904502,0.9509916,0.00071939174,0.00006277492,0.00063533726,0.0043710656,0.0006458458,0.0041532964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9944924,0.0017050417,0.0005820813,0.0010948192,0.0019669035,0.00015868497],"domain_scores_gemma":[0.99528605,0.0026415205,0.00024016546,0.00094542775,0.0007339656,0.00015292468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050226077,0.0011168529,0.00088134076,0.0027204936,0.0012237472,0.0061782487,0.0036779917,0.0019304143,0.008012964],"category_scores_gemma":[0.012715858,0.0009988706,0.0039323615,0.0027936262,0.002132068,0.008501056,0.003903199,0.002917869,0.002748261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026968884,0.00027517244,0.0017273012,0.0014127693,0.0003081049,0.0010043063,0.002374858,0.05597686,0.012558704,0.753087,0.03386635,0.13713895],"study_design_scores_gemma":[0.00006794651,0.000048899074,0.00027415104,0.00013013092,0.0000915706,0.00045394048,0.0006672668,0.36299816,0.007925527,0.4724759,0.1547757,0.00009076463],"about_ca_topic_score_codex":0.0091845505,"about_ca_topic_score_gemma":0.017203027,"teacher_disagreement_score":0.0091845505,"about_ca_system_score_codex":0.0023495439,"about_ca_system_score_gemma":0.0024002825,"threshold_uncertainty_score":0.026805997},"labels":[],"label_agreement":null},{"id":"W2405215503","doi":"10.14778/3402707.3402722","title":"Data coordination","year":2011,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Base (topology); Data source; Distributed computing; Data mining; Mathematics","score_opus":0.09979098660822669,"score_gpt":0.25600075673108735,"score_spread":0.15620977012286066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405215503","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047523347,0.00053737656,0.9401848,0.0024153283,0.0005529193,0.0010141674,0.0022264444,0.012422456,0.03589427],"genre_scores_gemma":[0.19255792,0.00116366,0.7441426,0.00261106,0.00059165,0.0015430104,0.014624661,0.006729611,0.03603579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9759986,0.0063211475,0.0034780656,0.006593495,0.006276252,0.0013324212],"domain_scores_gemma":[0.9530836,0.0090587055,0.0018148771,0.0287537,0.005503864,0.001785145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021722004,0.0016684438,0.002089309,0.0032453542,0.004274661,0.012048024,0.007774148,0.0023498198,0.018483037],"category_scores_gemma":[0.04253867,0.0015556908,0.0020945917,0.005086179,0.0031037736,0.014568682,0.020766543,0.0039250003,0.007551232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087764155,0.0002853485,0.0067686974,0.0009649795,0.00035239497,0.0010954096,0.005688902,0.015679069,0.008261882,0.46455634,0.124449916,0.37101936],"study_design_scores_gemma":[0.0001386708,0.000115629875,0.00095158775,0.00031689854,0.00018909365,0.0007276246,0.0015213859,0.03409495,0.015484744,0.15813752,0.7881651,0.00015680182],"about_ca_topic_score_codex":0.007512508,"about_ca_topic_score_gemma":0.0039996817,"teacher_disagreement_score":0.021722004,"about_ca_system_score_codex":0.0026622897,"about_ca_system_score_gemma":0.007238782,"threshold_uncertainty_score":0.1148783},"labels":[],"label_agreement":null},{"id":"W2405423194","doi":"10.5281/zenodo.3782910","title":"The Open Data Environment","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","score_opus":0.09891972990993522,"score_gpt":0.2912155962980132,"score_spread":0.19229586638807797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405423194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036847654,0.008559745,0.5295578,0.053479448,0.0036994303,0.00043607323,0.0050540343,0.024076052,0.37145266],"genre_scores_gemma":[0.11122938,0.020492915,0.5562364,0.018695427,0.0051420783,0.0024212375,0.02299498,0.022279337,0.24050815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9882834,0.0042099683,0.0011192496,0.001499759,0.004199827,0.00068780134],"domain_scores_gemma":[0.9675913,0.013873408,0.0010599374,0.011606626,0.0025883056,0.0032804513],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.015435251,0.0008872286,0.0010520157,0.0041673523,0.004912016,0.017398655,0.0033583161,0.0049970113,0.022690797],"category_scores_gemma":[0.037504937,0.0013256,0.001320035,0.0062832204,0.008170522,0.04339576,0.018906318,0.0070390357,0.016429126],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020465724,0.000022710838,0.00028934568,0.00011380538,0.000008409569,0.00013853595,0.000610973,0.0005479099,0.0002737691,0.8724349,0.08170599,0.043833137],"study_design_scores_gemma":[0.000009748434,0.0000055211394,0.00010159565,0.00014274828,0.0000030564224,0.00016094439,0.0001365666,0.0010198881,0.00025173163,0.20277987,0.7953692,0.000019118954],"about_ca_topic_score_codex":0.0033952002,"about_ca_topic_score_gemma":0.0027902687,"teacher_disagreement_score":0.9966417,"about_ca_system_score_codex":0.0028177036,"about_ca_system_score_gemma":0.005998661,"threshold_uncertainty_score":0.08163035},"labels":[],"label_agreement":null},{"id":"W2405484365","doi":"10.29007/2m22","title":"Towards an Expressive Practical Logical Action Theory","year":2018,"lang":"en","type":"article","venue":"EPiC series in computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Situation calculus; Decidability; Undecidable problem; Fragment (logic); Computer science; Projection (relational algebra); Satisfiability; Action (physics); Logical consequence; Boolean satisfiability problem; Class (philosophy); Description logic; Theoretical computer science; Circumscription; Calculus (dental); Algorithm; Artificial intelligence","score_opus":0.0782508513794713,"score_gpt":0.37216339548233685,"score_spread":0.29391254410286555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405484365","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047683874,0.0003727988,0.97328985,0.0030532847,0.00008216847,0.00009027781,0.00017744768,0.0005051747,0.017660618],"genre_scores_gemma":[0.12969218,0.0008265192,0.859529,0.0010816534,0.00024219963,0.0003422426,0.0005230704,0.0001872486,0.0075759143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964813,0.0013243455,0.00021303173,0.0004312665,0.0012904535,0.00025965192],"domain_scores_gemma":[0.9968238,0.00168609,0.00016159442,0.0006871363,0.0004625254,0.00017890931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062735844,0.0010512322,0.00090196094,0.0016381042,0.0015056088,0.0050922898,0.0037013823,0.0024704824,0.004459137],"category_scores_gemma":[0.0067878678,0.0011712232,0.0027506838,0.0015299808,0.008858999,0.008712801,0.005922343,0.008308306,0.0013963066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006145105,0.000013845144,0.00005913938,0.000045775265,0.000005810644,0.000049665276,0.0002224171,0.006388281,0.0003656949,0.9871622,0.0007794366,0.0049016443],"study_design_scores_gemma":[0.00001143821,0.000009826484,0.000025976466,0.000041891773,0.0000069664125,0.000031205724,0.0000923957,0.040680733,0.00040508222,0.9455976,0.013088254,0.0000085913525],"about_ca_topic_score_codex":0.0040711197,"about_ca_topic_score_gemma":0.0036507049,"teacher_disagreement_score":0.0062735844,"about_ca_system_score_codex":0.003414586,"about_ca_system_score_gemma":0.002931712,"threshold_uncertainty_score":0.03317827},"labels":[],"label_agreement":null},{"id":"W2406112091","doi":"","title":"Agent-based Stochastic Simulation of Schema Matching.","year":2014,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Schema matching; Schema (genetic algorithms); Computer science; Matching (statistics); Schema evolution; Optimal matching; Data mining; Theoretical computer science; Database schema; Information retrieval; Data integration; Mathematics","score_opus":0.009724914243210791,"score_gpt":0.222079671203829,"score_spread":0.2123547569606182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406112091","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015875204,0.00010517543,0.9769057,0.0003024415,0.00006530771,0.00010016756,0.000120374425,0.0004985215,0.0060270643],"genre_scores_gemma":[0.5953006,0.00027520128,0.3980101,0.00020775056,0.000039603783,0.00039776898,0.00052994635,0.00021604268,0.0050229034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852115,0.0006943925,0.00008040362,0.00020551978,0.00040042592,0.0000981752],"domain_scores_gemma":[0.99678445,0.0019349796,0.00023056839,0.0005957656,0.00026636003,0.00018782154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020771024,0.00046426323,0.0006226523,0.00071347127,0.0007238628,0.0016239802,0.0018041572,0.0015823804,0.005393976],"category_scores_gemma":[0.0078015835,0.00049418124,0.001263513,0.00082595344,0.0011337202,0.0019521147,0.0020921126,0.0014659823,0.00062849495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007078869,0.00004888966,0.0011034678,0.00005950503,0.00007159042,0.00011509815,0.00014206786,0.82509696,0.0022184446,0.15899941,0.00079791876,0.011275881],"study_design_scores_gemma":[0.0000089921605,0.000008708306,0.000054590455,0.000004802684,0.0000054761927,0.00002312277,0.000013558193,0.973042,0.0006089646,0.0245166,0.0017081073,0.000005061386],"about_ca_topic_score_codex":0.0053727743,"about_ca_topic_score_gemma":0.0048401863,"teacher_disagreement_score":0.005393976,"about_ca_system_score_codex":0.0014512071,"about_ca_system_score_gemma":0.0014651163,"threshold_uncertainty_score":0.01804465},"labels":[],"label_agreement":null},{"id":"W2406373824","doi":"","title":"Absorption for ABoxes.","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; Computer science; Description logic; RDF; RDF Schema; Conjunctive query; Negation; Logical consequence; Web Ontology Language; Knowledge base; Theoretical computer science; Ontology; Graph; Class (philosophy); Semantics (computer science); Semantic Web; Relational database; Information retrieval; Programming language; Artificial intelligence","score_opus":0.035629001330452874,"score_gpt":0.2788061683584767,"score_spread":0.24317716702802383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406373824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036133558,0.000492922,0.9476747,0.0005229928,0.00011330978,0.00050366385,0.0010463769,0.0052946066,0.008217841],"genre_scores_gemma":[0.39645183,0.00021348729,0.5954598,0.00041918582,0.0000840328,0.00035351087,0.0019112757,0.00062248146,0.0044844234],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9909038,0.0026215848,0.00092555874,0.0013454207,0.0036650694,0.0005386771],"domain_scores_gemma":[0.983245,0.011936763,0.00093956233,0.0013611679,0.0022080082,0.0003094243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005553576,0.0008753138,0.000781471,0.0030261858,0.00095474086,0.003935196,0.0016064415,0.0012649032,0.0068560205],"category_scores_gemma":[0.022855481,0.00090021593,0.0017428617,0.0017559371,0.0014141599,0.006322466,0.0026795708,0.0020757478,0.0013487674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001107804,0.00047542207,0.010385845,0.001879204,0.0004217006,0.0011883075,0.0021692875,0.016522424,0.037009254,0.4126453,0.015631976,0.5005635],"study_design_scores_gemma":[0.00013688207,0.00030618854,0.0029746701,0.0004848385,0.00033518107,0.0019240527,0.0011154567,0.3519558,0.07984919,0.5005194,0.060280077,0.00011825533],"about_ca_topic_score_codex":0.0023320264,"about_ca_topic_score_gemma":0.0028612714,"teacher_disagreement_score":0.0068560205,"about_ca_system_score_codex":0.0015613908,"about_ca_system_score_gemma":0.0014291035,"threshold_uncertainty_score":0.029370427},"labels":[],"label_agreement":null},{"id":"W2406441913","doi":"","title":"Exploring Parallelization of Conjunctive Branches in Tableau-Based Description Logic Reasoning.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scalability; Multiprocessing; Conjunctive query; Theoretical computer science; Process (computing); Parallel computing; Programming language; Database; Relational database","score_opus":0.12064779708000119,"score_gpt":0.24213173632090332,"score_spread":0.12148393924090213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406441913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08828479,0.00027464872,0.9024744,0.0005900007,0.00004048296,0.00041073817,0.00019050743,0.0031078195,0.0046266317],"genre_scores_gemma":[0.29837182,0.00013200285,0.69953465,0.00009429241,0.000014958546,0.00015448601,0.0003298349,0.00018694824,0.0011810592],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983511,0.0005863819,0.00011142487,0.00029053018,0.00050047005,0.00016013338],"domain_scores_gemma":[0.99201185,0.006202072,0.00031747276,0.0006965361,0.0006305547,0.00014151083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002434258,0.00058602536,0.00065571105,0.00072191696,0.0010225883,0.002017967,0.0015996188,0.00073711976,0.0038018203],"category_scores_gemma":[0.009412687,0.000555287,0.0011092705,0.0013296803,0.0013133211,0.0032724957,0.0016299334,0.001358612,0.00053725514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010500288,0.0006679477,0.006756953,0.0008118003,0.00018832309,0.0008856493,0.002121249,0.36101794,0.03395635,0.10129284,0.0053791446,0.4858717],"study_design_scores_gemma":[0.000067877045,0.00004620741,0.00021156394,0.000018718365,0.000037840637,0.00005894893,0.00014038655,0.95663404,0.00998898,0.030573992,0.0022112902,0.000010176319],"about_ca_topic_score_codex":0.011165663,"about_ca_topic_score_gemma":0.018273365,"teacher_disagreement_score":0.011165663,"about_ca_system_score_codex":0.0016945282,"about_ca_system_score_gemma":0.0025402543,"threshold_uncertainty_score":0.0222013},"labels":[],"label_agreement":null},{"id":"W2406568832","doi":"","title":"08421 Working Group: Classification, Representation and Modeling.","year":2009,"lang":"en","type":"article","venue":"Dagstuhl Seminar Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Representation (politics); Computer science; Implementation; Group (periodic table); Class (philosophy); Theoretical computer science; Artificial intelligence; Software engineering","score_opus":0.06040384132707119,"score_gpt":0.2911158123040412,"score_spread":0.23071197097697002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406568832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005677943,0.01827781,0.7882815,0.05679534,0.012747483,0.0036000141,0.011361698,0.0073725646,0.09588561],"genre_scores_gemma":[0.028913703,0.019184086,0.62990886,0.01603122,0.01705137,0.010640117,0.108447425,0.010795364,0.15902776],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9656753,0.01680251,0.004414362,0.0038257244,0.007248548,0.0020334888],"domain_scores_gemma":[0.9296375,0.027527636,0.0030368487,0.016052771,0.018084202,0.005661074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.057560656,0.0046292325,0.004400278,0.010122401,0.00486963,0.016217275,0.011043815,0.0144558735,0.037670124],"category_scores_gemma":[0.06228984,0.0017401692,0.004231184,0.008658402,0.0043289713,0.019488696,0.01191816,0.010390398,0.045930777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042900952,0.00046665684,0.0018498134,0.0017934393,0.00019283513,0.00023241797,0.0011138065,0.0036774918,0.0026175664,0.21548156,0.48588058,0.28626472],"study_design_scores_gemma":[0.00011727157,0.00018391717,0.001079198,0.0011438087,0.00015003527,0.00034902312,0.00065456727,0.009900963,0.0035564285,0.10380068,0.87894124,0.00012282949],"about_ca_topic_score_codex":0.010518069,"about_ca_topic_score_gemma":0.004944705,"teacher_disagreement_score":0.057560656,"about_ca_system_score_codex":0.005503104,"about_ca_system_score_gemma":0.016599925,"threshold_uncertainty_score":0.30441344},"labels":[],"label_agreement":null},{"id":"W2406600040","doi":"","title":"Beyond Jeopardy! Adapting Watson to new Domains using Distributional Semantics.","year":2013,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watson; Semantics (computer science); Computer science; Double jeopardy; Distributional semantics; Natural language processing; Programming language; Political science; Law","score_opus":0.032673930359478034,"score_gpt":0.2553930750463717,"score_spread":0.2227191446868937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406600040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049911685,0.0028488976,0.8099912,0.025273513,0.001807943,0.0001487147,0.0006266394,0.0063307206,0.10306067],"genre_scores_gemma":[0.3942487,0.0023521727,0.5486503,0.0035846692,0.00053649506,0.00020968905,0.0012599409,0.0047828346,0.044375185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99776804,0.0010901933,0.00013604965,0.0003340168,0.00055073,0.00012101648],"domain_scores_gemma":[0.9944265,0.0021517384,0.00016334606,0.002001774,0.001003817,0.0002527913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039911577,0.00050847774,0.00058051734,0.0013031804,0.0018133267,0.0042957845,0.0017397676,0.001703985,0.00992274],"category_scores_gemma":[0.028450908,0.0004440907,0.00064270693,0.0019739743,0.0034636753,0.02502784,0.0073471717,0.003094366,0.0036109982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014402304,0.00008884382,0.0021420585,0.00010982766,0.000045906098,0.00025815607,0.0021102482,0.005192606,0.0014044226,0.666441,0.04214959,0.27991334],"study_design_scores_gemma":[0.000019603189,0.000018421657,0.00030183236,0.00006187958,0.00001901694,0.00018612386,0.0012509632,0.024205476,0.0016912688,0.8586528,0.11355971,0.000032956963],"about_ca_topic_score_codex":0.005351298,"about_ca_topic_score_gemma":0.0076322793,"teacher_disagreement_score":0.00992274,"about_ca_system_score_codex":0.0008242948,"about_ca_system_score_gemma":0.0013582679,"threshold_uncertainty_score":0.0331949},"labels":[],"label_agreement":null},{"id":"W2406928363","doi":"","title":"Parallelizing Algebraic Reasoning for the Description Logic SHOQ.","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Expressivity; Computer science; Description logic; Context (archaeology); Semantic Web; Scalability; Programming language; Automated reasoning; Theoretical computer science; Artificial intelligence","score_opus":0.04590101492700761,"score_gpt":0.2569871646671393,"score_spread":0.21108614974013168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406928363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040318083,0.00030358584,0.9480159,0.0009991241,0.00008708645,0.0002589521,0.00027954814,0.0015059084,0.008231722],"genre_scores_gemma":[0.40233752,0.00031540674,0.59225863,0.0002892548,0.000084805564,0.0001749946,0.0005483703,0.00022022708,0.0037707975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99718505,0.00096221303,0.00019160681,0.00035371652,0.0010964846,0.0002108449],"domain_scores_gemma":[0.9952584,0.0028432715,0.00025777612,0.0008737495,0.00064154266,0.00012529301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004312089,0.0005097924,0.00067598163,0.0010315389,0.0010936481,0.0026387523,0.0017027038,0.0006969682,0.0056021893],"category_scores_gemma":[0.0097589055,0.00057619833,0.002074541,0.0011657387,0.0024611978,0.0048121656,0.0038983743,0.0019176607,0.00065836357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038070636,0.00022650846,0.0015581563,0.00046464268,0.00018190057,0.00033723153,0.0005131355,0.16445686,0.005931549,0.6946536,0.004309992,0.12698586],"study_design_scores_gemma":[0.000103279424,0.00003737552,0.0001462429,0.000030752006,0.00006188347,0.00009280635,0.0001280044,0.6119957,0.0047869897,0.37462258,0.007971761,0.000022551407],"about_ca_topic_score_codex":0.011898226,"about_ca_topic_score_gemma":0.018358042,"teacher_disagreement_score":0.011898226,"about_ca_system_score_codex":0.0026856675,"about_ca_system_score_gemma":0.0023429664,"threshold_uncertainty_score":0.023657918},"labels":[],"label_agreement":null},{"id":"W2407140173","doi":"10.3233/978-1-60750-959-2-203","title":"Recognizing Geospatial Patterns with Biologically-inspired Relational Reasoning","year":2011,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Geospatial analysis; Computer science; Data science; Geography; Cognitive science; Cartography; Psychology","score_opus":0.06571868410663961,"score_gpt":0.24954435560261204,"score_spread":0.18382567149597243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407140173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073485873,0.004563734,0.93700004,0.0013740332,0.00020085085,0.00006592907,0.00019360764,0.00077567686,0.04847761],"genre_scores_gemma":[0.093893014,0.0063390327,0.881622,0.0003825375,0.00013212705,0.00009116179,0.0009746448,0.0001677125,0.016397664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99971443,0.00004099346,0.00002274161,0.00010032767,0.00010552321,0.000016042342],"domain_scores_gemma":[0.9997204,0.00014650925,0.000023171295,0.00005803217,0.00003890693,0.000013023405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052057905,0.0006579696,0.00034794502,0.0011200235,0.00046494196,0.003145124,0.0018163838,0.00097076275,0.0038414015],"category_scores_gemma":[0.0013660756,0.000502921,0.0013347345,0.001605699,0.0016854176,0.005397377,0.001565373,0.0015546579,0.0016866311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002749964,0.00006228126,0.0010081856,0.00044706254,0.00008968767,0.0003010644,0.0012399168,0.026011458,0.0078034666,0.6227231,0.016932817,0.32335338],"study_design_scores_gemma":[0.000008779536,0.000017666023,0.00074113446,0.00016627005,0.000042191798,0.00054675096,0.00022660781,0.11246365,0.0034840535,0.7868257,0.0954371,0.00004005557],"about_ca_topic_score_codex":0.0017767602,"about_ca_topic_score_gemma":0.0019708974,"teacher_disagreement_score":0.0038414015,"about_ca_system_score_codex":0.00092016364,"about_ca_system_score_gemma":0.00055134477,"threshold_uncertainty_score":0.012850761},"labels":[],"label_agreement":null},{"id":"W2407449958","doi":"","title":"PSOATransRun: Translating and Running PSOA RuleML via the TPTP Interchange Language for Theorem Provers.","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Programming language; Semantic reasoner; Parsing; Syntax; XHTML; XML; Artificial intelligence; World Wide Web; Markup language","score_opus":0.026126302535063078,"score_gpt":0.2735295229468834,"score_spread":0.2474032204118203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407449958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019184194,0.00010227037,0.8923841,0.0003080826,0.00015911332,0.0002608275,0.0018811575,0.09648095,0.0065051224],"genre_scores_gemma":[0.06131699,0.00026622316,0.89045787,0.0007624574,0.000121672136,0.0006581211,0.010490475,0.026144505,0.009781761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950837,0.0015487497,0.0006638899,0.00069965917,0.0018238876,0.00018010715],"domain_scores_gemma":[0.98878026,0.007142348,0.0005238953,0.0017787453,0.0015286416,0.0002460863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063597485,0.0012358992,0.0007785021,0.0019126084,0.000966799,0.0051622163,0.0031812903,0.0016745707,0.02193362],"category_scores_gemma":[0.019491022,0.0013409959,0.0021150461,0.0011397782,0.0014414267,0.0041324273,0.0035085063,0.0027486912,0.014392383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073437364,0.0008428656,0.0026517839,0.0023512486,0.00035906062,0.0036210585,0.002327693,0.0219459,0.042203143,0.22461322,0.19291323,0.5054365],"study_design_scores_gemma":[0.00040556848,0.0002767003,0.0013824505,0.0004891763,0.00014165851,0.002761977,0.00042102486,0.317245,0.10095869,0.12526926,0.45040402,0.0002444964],"about_ca_topic_score_codex":0.0021473037,"about_ca_topic_score_gemma":0.0022854123,"teacher_disagreement_score":0.02193362,"about_ca_system_score_codex":0.0010817543,"about_ca_system_score_gemma":0.0026660045,"threshold_uncertainty_score":0.073375225},"labels":[],"label_agreement":null},{"id":"W2407774790","doi":"","title":"Automated Generation of SADI Web Services for Clinical Intelligence using Ruled-Based Semantic Mappings.","year":2015,"lang":"en","type":"article","venue":"SWAT4LS","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; SQL; SPARQL; World Wide Web; Relational database; Information retrieval; Web service; Database; Semantic Web; RDF","score_opus":0.24387245030173849,"score_gpt":0.4005271412896605,"score_spread":0.156654690987922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407774790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012239995,0.00010320797,0.9619666,0.0003668488,0.0000589334,0.00085327076,0.001023024,0.017191134,0.006197101],"genre_scores_gemma":[0.14722133,0.00016455678,0.84276956,0.00022199104,0.000025207075,0.00051859044,0.0051229163,0.000956126,0.0029996785],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977507,0.0004844048,0.00023084009,0.00028937354,0.00112304,0.000121571924],"domain_scores_gemma":[0.9968689,0.0013962163,0.00021526225,0.0006790534,0.0006978309,0.00014278735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027200603,0.0007603144,0.00045290997,0.0017454446,0.00076701277,0.0024589275,0.0016676108,0.00085568987,0.0033489878],"category_scores_gemma":[0.008003536,0.00059041183,0.0013308597,0.0009380414,0.0009897188,0.0015670484,0.0029263687,0.0011351206,0.0019814821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007626533,0.0010794383,0.01355192,0.0010315239,0.00024251972,0.0033690846,0.00287341,0.124208845,0.07700591,0.18016878,0.041038148,0.55466783],"study_design_scores_gemma":[0.000093495306,0.00010211907,0.0009835172,0.000097063916,0.00004895182,0.00065689354,0.00036978218,0.8122225,0.054504883,0.055551663,0.07530455,0.000064533575],"about_ca_topic_score_codex":0.0042400286,"about_ca_topic_score_gemma":0.004790009,"teacher_disagreement_score":0.0042400286,"about_ca_system_score_codex":0.0010897913,"about_ca_system_score_gemma":0.0022928591,"threshold_uncertainty_score":0.014385223},"labels":[],"label_agreement":null},{"id":"W2407919573","doi":"","title":"Canadian National Collaborative Data Infrastructure: a distinctively Canadian approach.","year":2011,"lang":"en","type":"article","venue":"IASSIST Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","score_opus":0.0921952324256359,"score_gpt":0.2574429190298402,"score_spread":0.16524768660420427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407919573","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0226776,0.009977806,0.09661912,0.08562425,0.0019763454,0.0009954849,0.05359363,0.004547747,0.723988],"genre_scores_gemma":[0.43328688,0.011877834,0.25199628,0.009262083,0.0004458746,0.00101355,0.05950091,0.001299307,0.23131731],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99168736,0.00090735813,0.00038581403,0.001104851,0.004399969,0.0015146212],"domain_scores_gemma":[0.98401827,0.0010296049,0.00045797197,0.0015919467,0.010359189,0.002542974],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005704363,0.0006342893,0.00053524965,0.009068606,0.011332283,0.010708665,0.0033596489,0.0018759355,0.010164566],"category_scores_gemma":[0.013727566,0.0005965761,0.00066071376,0.027179997,0.0027746733,0.00582611,0.0059246654,0.0020229204,0.0021274104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010495638,0.00005604345,0.008129582,0.0003295231,0.00007260776,0.00023731389,0.0023989577,0.0019261807,0.0009404718,0.49860492,0.38357073,0.10362866],"study_design_scores_gemma":[0.000015207699,0.000009832529,0.008563551,0.00024503126,0.000056234563,0.0001412194,0.0025850083,0.002149907,0.0008556372,0.020076472,0.96522754,0.00007434638],"about_ca_topic_score_codex":0.9863468,"about_ca_topic_score_gemma":0.9911714,"teacher_disagreement_score":0.9892913,"about_ca_system_score_codex":0.086475536,"about_ca_system_score_gemma":0.26062807,"threshold_uncertainty_score":0.62742686},"labels":[],"label_agreement":null},{"id":"W2408088807","doi":"10.29173/cais405","title":"Libraries and Information Systems - A Fruitful Partnership","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"General partnership; Data science; Computer science; Political science; Library science; Law","score_opus":0.021891662272506548,"score_gpt":0.22167700083566755,"score_spread":0.199785338563161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408088807","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022299518,0.14336391,0.009892719,0.58224064,0.0069744177,0.000067387504,0.0002063345,0.00031668626,0.25470793],"genre_scores_gemma":[0.16493918,0.15890832,0.0203452,0.054480392,0.007255353,0.00019248077,0.0007246522,0.00042685118,0.5927275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99193865,0.004704833,0.00027587422,0.00042901014,0.0019165819,0.0007350804],"domain_scores_gemma":[0.98730147,0.005050111,0.00042672144,0.0012899826,0.0023044155,0.003627317],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.014214159,0.00052371976,0.0007617652,0.0021356307,0.003642313,0.016299939,0.0013198935,0.006669828,0.07544485],"category_scores_gemma":[0.0070607024,0.00042889887,0.00039597476,0.00677206,0.005982224,0.02076058,0.012547254,0.0060333707,0.015964424],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009172699,0.00013869753,0.00040027886,0.000650946,0.000032534856,0.000175812,0.0015537225,0.00027281346,0.0005518804,0.4297101,0.33426622,0.23215528],"study_design_scores_gemma":[0.000020097546,0.000050465464,0.00034717735,0.00064701715,0.0000097192715,0.000122038466,0.0032259512,0.00019298292,0.00016086618,0.08073299,0.91447777,0.000012903871],"about_ca_topic_score_codex":0.0036561517,"about_ca_topic_score_gemma":0.0062179677,"teacher_disagreement_score":0.98370004,"about_ca_system_score_codex":0.004678084,"about_ca_system_score_gemma":0.01097423,"threshold_uncertainty_score":0.25238818},"labels":[],"label_agreement":null},{"id":"W2408200580","doi":"10.1007/978-3-319-26350-2_50","title":"On the Krom Extension of $$\\mathcal {CFDI}^{\\forall -}_{nc}$$","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"P; Extension (predicate logic); Satisfiability; Consistency (knowledge bases); Computer science; TRACE (psycholinguistics); Boolean satisfiability problem; Discrete mathematics; Theoretical computer science; Algebra over a field; Mathematics; Time complexity; Programming language; Algorithm; Pure mathematics; Artificial intelligence","score_opus":0.05103100254578412,"score_gpt":0.2707098404623995,"score_spread":0.21967883791661535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408200580","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076454747,0.0016392524,0.88873434,0.0032893738,0.0010760409,0.00033982281,0.0033384538,0.006537167,0.08740012],"genre_scores_gemma":[0.097161055,0.0028497316,0.8257502,0.0031116914,0.00073606794,0.00053330726,0.009360543,0.0052256715,0.05527172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973224,0.00069912244,0.00027762927,0.00063638587,0.00079410354,0.00027049336],"domain_scores_gemma":[0.99759173,0.00082179304,0.00011267738,0.00079921685,0.00055360235,0.00012112326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002883977,0.0012974037,0.0013329528,0.0020727532,0.002363938,0.0045032147,0.0029081989,0.0011170864,0.031121649],"category_scores_gemma":[0.0073569026,0.0010762766,0.0028325082,0.0038792677,0.002662338,0.014614867,0.008917791,0.004581334,0.011989223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010690876,0.00006119764,0.0001655829,0.000257213,0.000022864442,0.00008702809,0.00039027544,0.00128123,0.00095148163,0.8871218,0.026588472,0.08296583],"study_design_scores_gemma":[0.00003135701,0.000026942591,0.00018020603,0.00022983861,0.000036841186,0.00019442002,0.00015626707,0.008115617,0.0011781177,0.79863983,0.1911602,0.00005032828],"about_ca_topic_score_codex":0.008672467,"about_ca_topic_score_gemma":0.017089723,"teacher_disagreement_score":0.031121649,"about_ca_system_score_codex":0.0018027613,"about_ca_system_score_gemma":0.002250306,"threshold_uncertainty_score":0.10411227},"labels":[],"label_agreement":null},{"id":"W2408550090","doi":"","title":"FCA-based concept detection in a RosettaNet PIP ontology","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Ontology; Inheritance (genetic algorithm); Ontology-based data integration; Information retrieval; Upper ontology; Set (abstract data type); Process (computing); Suggested Upper Merged Ontology; Process ontology; OWL-S; Data mining; Semantic Web; Programming language","score_opus":0.010895331725506767,"score_gpt":0.22244230552762492,"score_spread":0.21154697380211815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408550090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018278796,0.00007921801,0.96882385,0.00015059969,0.000040744617,0.0003855501,0.00078103575,0.0048573767,0.006602772],"genre_scores_gemma":[0.09468428,0.000068182926,0.8993396,0.000066358305,0.000007275682,0.0002443623,0.0022777843,0.00040587698,0.0029063236],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808025,0.00035144918,0.00019044269,0.00039157568,0.0008265301,0.00015969196],"domain_scores_gemma":[0.99747366,0.00093022065,0.00015901533,0.0005043631,0.00082221674,0.00011054658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025411171,0.0004902163,0.0004153049,0.003947765,0.0013543126,0.002529146,0.0012248054,0.00067760126,0.0034976818],"category_scores_gemma":[0.005356402,0.00046390362,0.001671432,0.0015626075,0.0010485067,0.0022057153,0.0015979587,0.0009390568,0.0010876864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047126596,0.00043023864,0.013947608,0.0010863369,0.0003171513,0.0028102484,0.003695344,0.038503055,0.05758121,0.2406466,0.022812251,0.61769867],"study_design_scores_gemma":[0.00004878653,0.000114769515,0.005785881,0.00037006772,0.00019136563,0.0016349322,0.0011374423,0.651215,0.11034071,0.068141505,0.16088684,0.0001326845],"about_ca_topic_score_codex":0.014136523,"about_ca_topic_score_gemma":0.013356035,"teacher_disagreement_score":0.014136523,"about_ca_system_score_codex":0.0016585838,"about_ca_system_score_gemma":0.0028953915,"threshold_uncertainty_score":0.028108478},"labels":[],"label_agreement":null},{"id":"W2408612734","doi":"","title":"Thinking Outside (and Inside) the Box.","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Object (grammar); Computer science; Folding (DSP implementation); Euclidean geometry; Axiom; White box; Artificial intelligence; Mathematics; Engineering; Geometry; Mechanical engineering","score_opus":0.04947730206585071,"score_gpt":0.2319013355258386,"score_spread":0.1824240334599879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408612734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013338213,0.0037909043,0.6848004,0.01076962,0.0018413861,0.00008812889,0.00047989044,0.00072280713,0.28416863],"genre_scores_gemma":[0.50152,0.00505673,0.3825485,0.0054254592,0.0007565567,0.000272554,0.001300621,0.0006886938,0.10243095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99798954,0.00069666334,0.00011214148,0.00058131735,0.00044294525,0.00017741778],"domain_scores_gemma":[0.99855846,0.00058508303,0.000119726355,0.0003767923,0.00022656693,0.00013344485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018578945,0.0006953951,0.00040921936,0.0011597427,0.0024678034,0.004412084,0.0012526034,0.0020806328,0.011895833],"category_scores_gemma":[0.003863668,0.00042039563,0.0014834667,0.0009021174,0.01198056,0.016047057,0.0031838722,0.002400245,0.0031587789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020601288,0.000007698712,0.00025231275,0.00006094671,0.000010498414,0.000074915704,0.0019576238,0.00032338267,0.00039438086,0.9771756,0.0044291685,0.0152929295],"study_design_scores_gemma":[0.000007006129,0.000012743707,0.00026004465,0.000083785526,0.000020677702,0.00022687727,0.001537722,0.0014333269,0.0008047741,0.8245196,0.17106918,0.000024217743],"about_ca_topic_score_codex":0.005286655,"about_ca_topic_score_gemma":0.004935448,"teacher_disagreement_score":0.011895833,"about_ca_system_score_codex":0.0014268225,"about_ca_system_score_gemma":0.0017267262,"threshold_uncertainty_score":0.039795518},"labels":[],"label_agreement":null},{"id":"W2408637252","doi":"","title":"NARCIS: The Gateway to Dutch Scientific Information","year":2006,"lang":"en","type":"article","venue":"Elpub digital library","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"General partnership; Gateway (web page); Information system; Library science; Work (physics); The arts; Computer science; World Wide Web; Knowledge management; Political science; Engineering","score_opus":0.0046695675093581,"score_gpt":0.1674884219322608,"score_spread":0.1628188544229027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408637252","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070637073,0.007361966,0.121279895,0.012114491,0.0022484078,0.0011929411,0.17985746,0.053024903,0.6158562],"genre_scores_gemma":[0.060329705,0.0119034,0.14669554,0.0029820672,0.00094305887,0.0031663924,0.4646763,0.033018816,0.27628466],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954189,0.0009292797,0.00069055374,0.00051600166,0.0020375638,0.00040772074],"domain_scores_gemma":[0.99036485,0.0027413163,0.0009279482,0.002097633,0.0018605225,0.00200776],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007417457,0.0010928379,0.0016290706,0.008869083,0.0014405224,0.012942633,0.003495605,0.0026408175,0.13052826],"category_scores_gemma":[0.022332191,0.0012069903,0.00076684315,0.018274538,0.0015196465,0.011069811,0.008625372,0.0023100763,0.094824575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025653982,0.00007446546,0.00060728996,0.0018303763,0.000051279127,0.0006796196,0.0021393686,0.00067142386,0.0047330013,0.13731979,0.6862515,0.16538538],"study_design_scores_gemma":[0.00003528308,0.000006562402,0.00023463074,0.000107915264,0.000005992506,0.00007245565,0.00022799303,0.00053698063,0.00057248253,0.008760989,0.9894198,0.000018858891],"about_ca_topic_score_codex":0.016139103,"about_ca_topic_score_gemma":0.010157387,"teacher_disagreement_score":0.9870574,"about_ca_system_score_codex":0.004119494,"about_ca_system_score_gemma":0.012102352,"threshold_uncertainty_score":0.43666053},"labels":[],"label_agreement":null},{"id":"W2416340360","doi":"10.1142/s1793351x16500021","title":"Semantic Disambiguation and Linking of Quantitative Mentions in Textual Content","year":2016,"lang":"en","type":"article","venue":"International Journal of Semantic Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"","keywords":"Computer science; Information retrieval; Knowledge base; Annotation; Property (philosophy); Semantic Web; Natural language processing; Semantic annotation; Semantic similarity; Artificial intelligence","score_opus":0.05825526547179962,"score_gpt":0.3187091488014943,"score_spread":0.2604538833296947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416340360","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12073421,0.002313189,0.8141053,0.0012995593,0.0007007943,0.0008489029,0.019799681,0.012669786,0.027528564],"genre_scores_gemma":[0.26379153,0.0012935095,0.69484377,0.000373563,0.0002340122,0.000668172,0.028801555,0.0012337035,0.008760102],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99508744,0.0011276853,0.0008327775,0.0012172749,0.0015479515,0.00018694934],"domain_scores_gemma":[0.9852337,0.0067693386,0.0019567471,0.002602231,0.0032113427,0.00022667104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033273466,0.0010667741,0.0008856378,0.021403726,0.0018893211,0.002811106,0.0016676346,0.0019453289,0.0044649555],"category_scores_gemma":[0.018077355,0.00059953984,0.0011282235,0.011148812,0.0016180736,0.0059808684,0.0039989143,0.0013975671,0.003164005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000830626,0.0004565989,0.022106228,0.0044790227,0.00032331736,0.0031026613,0.009671893,0.011548484,0.08202171,0.09120544,0.044279255,0.72997475],"study_design_scores_gemma":[0.00011036731,0.00022167583,0.02677378,0.0017802176,0.00064507383,0.0032455549,0.007364712,0.15225881,0.16162477,0.15061478,0.4949603,0.00039999912],"about_ca_topic_score_codex":0.003571668,"about_ca_topic_score_gemma":0.0049340134,"teacher_disagreement_score":0.021403726,"about_ca_system_score_codex":0.0013624578,"about_ca_system_score_gemma":0.002161894,"threshold_uncertainty_score":0.01759684},"labels":[],"label_agreement":null},{"id":"W2419782822","doi":"10.1109/icde.2016.7498338","title":"OptImatch: Semantic web system for query problem determination","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"SPARQL; Computer science; RDF query language; Web query classification; Query language; RDF; Information retrieval; Query optimization; Graph; Named graph; Web search query; Semantic Web; Knowledge base; Graph database; Query expansion; Graphical user interface; Linked data; Data mining; Search engine; World Wide Web; Theoretical computer science; Programming language","score_opus":0.02104987309376707,"score_gpt":0.24997001976685881,"score_spread":0.22892014667309174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419782822","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00616429,0.000288329,0.65641254,0.00046153474,0.00008996161,0.00059509586,0.004936485,0.3257564,0.005295343],"genre_scores_gemma":[0.09942039,0.0006856645,0.8332688,0.000949644,0.000094531264,0.0010678484,0.03514616,0.01971245,0.009654511],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99645257,0.0007348119,0.0005218717,0.0007750228,0.0013621806,0.00015363425],"domain_scores_gemma":[0.99578214,0.0018514725,0.00031526538,0.0010830682,0.0007298446,0.00023819593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052538025,0.001812067,0.0015715095,0.0037951244,0.0011466319,0.0036679178,0.0029000414,0.0015819375,0.010094222],"category_scores_gemma":[0.009859711,0.0013752806,0.0014907995,0.0023423443,0.00082448445,0.005601544,0.0032323014,0.002052367,0.006802791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033588004,0.0012496744,0.009082514,0.0026811438,0.0007085227,0.0015498643,0.0019026749,0.026402174,0.05783283,0.06625657,0.2505824,0.5783928],"study_design_scores_gemma":[0.00048139278,0.00025736706,0.0031420342,0.00032054068,0.00024388517,0.00093206886,0.0006582159,0.6159613,0.062372353,0.083309874,0.2319841,0.00033695754],"about_ca_topic_score_codex":0.005472611,"about_ca_topic_score_gemma":0.005582167,"teacher_disagreement_score":0.010094222,"about_ca_system_score_codex":0.0013971027,"about_ca_system_score_gemma":0.0025886109,"threshold_uncertainty_score":0.033768535},"labels":[],"label_agreement":null},{"id":"W2435732740","doi":"10.29173/cais451","title":"Modelling a \"Human Understandable\" Metalevel Ontology for Enhancing Information Seeking on the World Wide Web","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Ontology; World Wide Web; Domain (mathematical analysis); Computer science; Information retrieval; Mathematics","score_opus":0.043909799468148276,"score_gpt":0.2513688694454876,"score_spread":0.20745906997733932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2435732740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061326426,0.00023118187,0.88848764,0.0029591774,0.00010064743,0.00036147327,0.0006848256,0.00095935416,0.044889223],"genre_scores_gemma":[0.37491137,0.00040796338,0.6123279,0.0003093424,0.000024099458,0.00024297427,0.0010060981,0.0002297689,0.0105405105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893004,0.00042540865,0.000080605474,0.00013900359,0.00031792792,0.00010701592],"domain_scores_gemma":[0.99894863,0.00045174157,0.0000807916,0.00023994673,0.0001985631,0.000080481615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016094905,0.0002690412,0.00028439943,0.0012397092,0.0010635555,0.0029569566,0.0011353412,0.0012969725,0.003775815],"category_scores_gemma":[0.004719883,0.00035146307,0.0010229729,0.0011025156,0.0019597374,0.0052000973,0.002912972,0.0012133955,0.0006733005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007734071,0.00017739345,0.0017247602,0.000270223,0.000041618106,0.00038017533,0.003267395,0.06670529,0.006882516,0.8623671,0.0038631062,0.054243095],"study_design_scores_gemma":[0.000053372816,0.000075075746,0.00096560566,0.00019995244,0.00009544815,0.00030372816,0.001792709,0.48737887,0.0071123694,0.3865697,0.11539108,0.00006216559],"about_ca_topic_score_codex":0.018340202,"about_ca_topic_score_gemma":0.033448357,"teacher_disagreement_score":0.018340202,"about_ca_system_score_codex":0.0016999915,"about_ca_system_score_gemma":0.0031708723,"threshold_uncertainty_score":0.036466897},"labels":[],"label_agreement":null},{"id":"W2440991617","doi":"10.29173/cais870","title":"The Concept of Concepts: A Case Study from American Documentation","year":2016,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Documentation; Divergence (linguistics); Construct (python library); Humanities; Epistemology; Mental representation; Sociology; Computer science; Philosophy; Psychology; Linguistics","score_opus":0.03189258514226733,"score_gpt":0.29783445717951457,"score_spread":0.26594187203724723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2440991617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93287045,0.003501805,0.0042137997,0.008954265,0.000096541706,0.00015795098,0.0001758285,0.00005626343,0.04997316],"genre_scores_gemma":[0.9739015,0.0027771038,0.009041398,0.0012605449,0.0000441202,0.0001451913,0.0001361808,0.000078939964,0.012615064],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9929,0.0049678953,0.00033735676,0.00030894318,0.0010518116,0.00043403558],"domain_scores_gemma":[0.9848573,0.011559113,0.00084706576,0.0007122724,0.0013148069,0.00070945226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006874057,0.0005346758,0.0005755235,0.0033065968,0.019210022,0.007024606,0.0015711078,0.0046748416,0.0024287007],"category_scores_gemma":[0.016533487,0.00052886084,0.00044476156,0.008243108,0.010593809,0.006476814,0.004570485,0.0038779855,0.0004791095],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087579094,0.00035457817,0.010173868,0.00039047425,0.000012667203,0.017738394,0.88859165,0.0002542217,0.0008893397,0.041399207,0.0066695036,0.033438545],"study_design_scores_gemma":[0.00002450848,0.000066396424,0.007646578,0.0005821608,0.000023399494,0.008433321,0.81173766,0.0006146903,0.0011666346,0.0078410385,0.16181439,0.00004921174],"about_ca_topic_score_codex":0.059748534,"about_ca_topic_score_gemma":0.12922901,"teacher_disagreement_score":0.059748534,"about_ca_system_score_codex":0.009928742,"about_ca_system_score_gemma":0.0072235633,"threshold_uncertainty_score":0.118801534},"labels":[],"label_agreement":null},{"id":"W2442049918","doi":"10.1145/2882903.2882944","title":"Query Planning for Evaluating SPARQL Property Paths","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"SPARQL; Computer science; Query optimization; RDF query language; RDF; Query plan; Property (philosophy); Query language; Plan (archaeology); Graph; Query expansion; Sargable; Information retrieval; Database; Web query classification; Theoretical computer science; Web search query; Search engine; Semantic Web","score_opus":0.12493895453806296,"score_gpt":0.3477191710025837,"score_spread":0.22278021646452073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2442049918","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009688165,0.00015121058,0.9772625,0.00033074184,0.000034364566,0.00028755076,0.0009463017,0.0063499287,0.0049492596],"genre_scores_gemma":[0.13147096,0.0002315735,0.86112124,0.00016622464,0.00003419487,0.00040334865,0.0027714742,0.0016934598,0.0021076042],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9946384,0.0017278437,0.0004374228,0.0005834206,0.00230997,0.00030294782],"domain_scores_gemma":[0.9948985,0.0029326405,0.00026529154,0.0008659284,0.0009327323,0.00010499825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041882438,0.0009974089,0.00073884666,0.001298593,0.00083772675,0.002409307,0.0014124555,0.0007852681,0.0072181337],"category_scores_gemma":[0.012743976,0.00073546596,0.0015391147,0.001623453,0.00128198,0.003910265,0.0021742699,0.0016496354,0.0012450537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057937717,0.00027434825,0.0042658933,0.0009222299,0.00021190109,0.00043518792,0.00086057576,0.31675485,0.016573662,0.23715293,0.027721934,0.3942471],"study_design_scores_gemma":[0.00006762225,0.00007064423,0.00049590814,0.00006558607,0.00005243874,0.00011769363,0.0002781172,0.8528843,0.01425793,0.110618435,0.021050153,0.000041246003],"about_ca_topic_score_codex":0.009312181,"about_ca_topic_score_gemma":0.013070287,"teacher_disagreement_score":0.009312181,"about_ca_system_score_codex":0.0018024988,"about_ca_system_score_gemma":0.0019865714,"threshold_uncertainty_score":0.024147034},"labels":[],"label_agreement":null},{"id":"W2462607544","doi":"10.1371/journal.pone.0065848.g001","title":"The EcoData Retriever dataset download interface.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Labrador Retriever; Interface (matter); Computer science; Medicine; Computational biology; World Wide Web; Biology; Operating system; Pathology","score_opus":0.08166784795226362,"score_gpt":0.31884268621614603,"score_spread":0.23717483826388241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462607544","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059599228,0.000037857644,0.00021076709,0.00006311897,0.000029176661,0.000024281906,0.9941267,0.0026292615,0.002819324],"genre_scores_gemma":[0.00023259637,0.0000509322,0.0006443105,0.00007336265,0.000011107807,0.00009762177,0.9961597,0.0010803577,0.0016499783],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998691,0.0001476151,0.00021959834,0.00035435596,0.00039260098,0.00019475624],"domain_scores_gemma":[0.99627316,0.0007839497,0.000254547,0.0012940372,0.00090868014,0.00048570795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017126341,0.0024987902,0.0017043111,0.009179541,0.0008842676,0.004111151,0.0033202148,0.0018579033,0.28145418],"category_scores_gemma":[0.0072443904,0.0010587167,0.0017614386,0.010895593,0.00047190048,0.0037118895,0.004299904,0.0023510207,0.3621896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020216827,0.00001032604,0.00030757752,0.000446698,0.000016122809,0.000015616826,0.000023876284,0.000050060036,0.00018448745,0.00049913663,0.99630946,0.002116406],"study_design_scores_gemma":[0.000060119608,0.0000073537635,0.0014824542,0.00016010778,0.000014939743,0.00003189891,0.000055604996,0.00012850823,0.00035357228,0.0011201731,0.99656314,0.000022145958],"about_ca_topic_score_codex":0.015186995,"about_ca_topic_score_gemma":0.0320983,"teacher_disagreement_score":0.28145418,"about_ca_system_score_codex":0.0012443336,"about_ca_system_score_gemma":0.0023762002,"threshold_uncertainty_score":0.941558},"labels":[],"label_agreement":null},{"id":"W2463493046","doi":"10.1145/2928294.2928298","title":"Automated generation of SADI semantic web services for clinical intelligence","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; SPARQL; Sublanguage; Datalog; Web service; World Wide Web; Semantic Web; Social Semantic Web; Information retrieval; Data Web; Semantic Web Stack; Relational database; SQL; Semantic Web Rule Language; Service (business); RDF; Database; Semantic analytics; Programming language","score_opus":0.10922288062621142,"score_gpt":0.37092218467989413,"score_spread":0.2616993040536827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463493046","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08618994,0.00012951414,0.8605226,0.0009362925,0.00010652749,0.0014643796,0.0027544845,0.038615037,0.00928119],"genre_scores_gemma":[0.31404063,0.0001496839,0.6743888,0.0001972559,0.000022779632,0.00044735795,0.007180217,0.0013077225,0.0022654573],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984773,0.00040061076,0.00015425858,0.00016362964,0.0007049526,0.00009916842],"domain_scores_gemma":[0.99631566,0.0014889869,0.00020315377,0.0007961813,0.0010136013,0.00018253777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027854869,0.0005595125,0.0004622467,0.0014797921,0.000700031,0.0015281811,0.001145431,0.00056981284,0.0023102819],"category_scores_gemma":[0.0069921683,0.0004700188,0.000879657,0.0009630108,0.0005631904,0.0011127563,0.0018518287,0.00082457176,0.0010362061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015298914,0.0016261056,0.027538402,0.0010908499,0.00022011985,0.0032409013,0.004226007,0.1124337,0.11119757,0.089228906,0.055625755,0.59204197],"study_design_scores_gemma":[0.00015939286,0.00013950052,0.002919442,0.00008551904,0.000060947044,0.00061745825,0.0007079086,0.81868815,0.09415725,0.028039519,0.054360613,0.000064337924],"about_ca_topic_score_codex":0.0032368293,"about_ca_topic_score_gemma":0.0035655082,"teacher_disagreement_score":0.0032368293,"about_ca_system_score_codex":0.0011146882,"about_ca_system_score_gemma":0.0026545625,"threshold_uncertainty_score":0.014731228},"labels":[],"label_agreement":null},{"id":"W2463719334","doi":"10.3233/978-1-58603-979-0-93","title":"Technical and Architectural Issues in Deploying Electronic Health Records (EHRs) over the WWW","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Health records; Electronic health record; Computer science; Data science; World Wide Web; Internet privacy; Health care; Political science","score_opus":0.028546718978390423,"score_gpt":0.3592586370405142,"score_spread":0.33071191806212374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463719334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18534082,0.004978582,0.6709389,0.0530609,0.0012793703,0.00067263684,0.00011435584,0.003113954,0.08050049],"genre_scores_gemma":[0.431545,0.006157461,0.5408009,0.0024575796,0.00065297825,0.0004523335,0.00031328757,0.00086988736,0.016750544],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9821845,0.009071509,0.0018531487,0.000881588,0.0047288537,0.0012804327],"domain_scores_gemma":[0.9814084,0.0076982565,0.0012617206,0.0031477308,0.005757062,0.00072669564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0207673,0.0007192715,0.00032284344,0.0017174393,0.0031451732,0.008673988,0.0020873246,0.0031287456,0.002135271],"category_scores_gemma":[0.024424747,0.0013729505,0.00061861554,0.0020856098,0.0034612303,0.01299429,0.0025711139,0.0032942053,0.0016559322],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002689166,0.00055814895,0.01665922,0.0021113134,0.000103079336,0.0044323257,0.009200609,0.0298568,0.056572817,0.38229206,0.022415007,0.47552967],"study_design_scores_gemma":[0.00012607215,0.0011334731,0.030738115,0.002488054,0.00038081055,0.018251639,0.060862765,0.111585885,0.06297492,0.18166398,0.52926195,0.00053245056],"about_ca_topic_score_codex":0.0037061996,"about_ca_topic_score_gemma":0.006101936,"teacher_disagreement_score":0.0207673,"about_ca_system_score_codex":0.0023090676,"about_ca_system_score_gemma":0.0027545283,"threshold_uncertainty_score":0.10982931},"labels":[],"label_agreement":null},{"id":"W2467099950","doi":"10.1080/08874417.2012.11645596","title":"Ontology-Based Data Summarization Engine: A Design Methodology","year":2012,"lang":"en","type":"article","venue":"Journal of Computer Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Automatic summarization; Computer science; Ontology; Multi-document summarization; Information retrieval; Ontology-based data integration; Data mining; Semantic Web","score_opus":0.18562263252974145,"score_gpt":0.3239831556518639,"score_spread":0.13836052312212246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467099950","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076890754,0.000055044253,0.9971079,0.00016073092,0.000018542414,0.00025088066,0.000058422218,0.0007758921,0.0008037026],"genre_scores_gemma":[0.014621514,0.00019402603,0.9823408,0.00011146557,0.00001985538,0.0005934671,0.00032127183,0.00020897386,0.0015886594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959907,0.0011222956,0.00071316294,0.00067443296,0.0013189843,0.0001803664],"domain_scores_gemma":[0.99653244,0.000829629,0.00037784243,0.00068835064,0.0013453788,0.00022627355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008018887,0.00095278304,0.0007549166,0.0027222254,0.0012746498,0.004707505,0.0032949348,0.0016342502,0.0024047615],"category_scores_gemma":[0.006275883,0.0010886437,0.0015248378,0.0022101433,0.0021938402,0.005818393,0.0026199217,0.0020942092,0.0014984715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001945172,0.00034524535,0.001708589,0.0020740647,0.00031570098,0.0010408431,0.00579664,0.020752199,0.064876065,0.4837634,0.014778247,0.4043545],"study_design_scores_gemma":[0.00014986214,0.00052504416,0.0009370986,0.00062396185,0.00054852647,0.0020810156,0.0020116167,0.25339466,0.09830536,0.13247259,0.50867635,0.0002738551],"about_ca_topic_score_codex":0.0019117976,"about_ca_topic_score_gemma":0.0019339344,"teacher_disagreement_score":0.008018887,"about_ca_system_score_codex":0.0013477273,"about_ca_system_score_gemma":0.003479735,"threshold_uncertainty_score":0.042408407},"labels":[],"label_agreement":null},{"id":"W2467893958","doi":"10.1007/978-3-319-53637-8_5","title":"From Papers to Triples: An Open Source Workflow for Semantic Publishing Experiments","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Workflow; Information retrieval; Open source; Publishing; World Wide Web; Programming language; Database; Software","score_opus":0.04537517669073735,"score_gpt":0.29524975323443153,"score_spread":0.2498745765436942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467893958","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073424634,0.0005482954,0.62309694,0.0027354325,0.0012628185,0.0034614939,0.13496391,0.18477118,0.041817486],"genre_scores_gemma":[0.036708288,0.00069059257,0.7569564,0.00088180555,0.00028660815,0.0030900105,0.14138931,0.038545594,0.021451404],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9881243,0.0032745528,0.0024031508,0.0016162697,0.004132311,0.00044942752],"domain_scores_gemma":[0.9600375,0.01859667,0.0013824347,0.012623918,0.005261504,0.0020979824],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.019912302,0.002351156,0.0019119205,0.0111401,0.003348749,0.012148195,0.0034727212,0.0030136483,0.062942885],"category_scores_gemma":[0.048128426,0.0019121688,0.00429659,0.008743677,0.001211944,0.009696601,0.010514967,0.002749193,0.038122203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025714878,0.0008358819,0.00509586,0.0036235547,0.00093154615,0.0011872684,0.0033104778,0.007051393,0.020936247,0.14172128,0.49148604,0.321249],"study_design_scores_gemma":[0.0005210539,0.00010567213,0.0021665979,0.00041368266,0.00021728198,0.00056235946,0.0010219984,0.015886758,0.036252055,0.21069376,0.7317832,0.00037559465],"about_ca_topic_score_codex":0.006677725,"about_ca_topic_score_gemma":0.008497524,"teacher_disagreement_score":0.9878518,"about_ca_system_score_codex":0.0023282676,"about_ca_system_score_gemma":0.008322597,"threshold_uncertainty_score":0.21056497},"labels":[],"label_agreement":null},{"id":"W2471528442","doi":"10.1007/s13740-016-0065-4","title":"Ontologies-Based Platform for Sociocultural Knowledge Management","year":2016,"lang":"en","type":"article","venue":"Journal on Data Semantics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Computer science; Knowledge management; Sociocultural evolution; Data science; Human–computer interaction; World Wide Web; Sociology","score_opus":0.12012314792779458,"score_gpt":0.34364586987265333,"score_spread":0.22352272194485875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471528442","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029535016,0.0009979978,0.8862261,0.004100191,0.00097362587,0.0011901789,0.006151795,0.02046193,0.050363127],"genre_scores_gemma":[0.32476932,0.0021317778,0.59714144,0.0015505597,0.00038549802,0.0015830301,0.027623283,0.002076229,0.042738896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802005,0.00044013013,0.00041014762,0.00028981295,0.0006667418,0.0001731774],"domain_scores_gemma":[0.99732864,0.00053604937,0.00019992284,0.0008659112,0.0005793279,0.0004901169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003092003,0.0007439414,0.0008639103,0.004544985,0.002396779,0.0072936234,0.0020106013,0.002030131,0.0067531536],"category_scores_gemma":[0.005528069,0.0005176007,0.0014269664,0.004210835,0.0012378342,0.011727521,0.009127595,0.0026766541,0.0038644923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005239702,0.0013613829,0.004618179,0.0006764412,0.00030802644,0.0018250948,0.0040639783,0.009285619,0.016849685,0.616962,0.06349718,0.28002837],"study_design_scores_gemma":[0.00009859029,0.00010461705,0.0023868387,0.00050460536,0.0002865713,0.0005776907,0.0023153678,0.09852272,0.015837824,0.41458467,0.46460217,0.00017825175],"about_ca_topic_score_codex":0.005745295,"about_ca_topic_score_gemma":0.0063613188,"teacher_disagreement_score":0.0072936234,"about_ca_system_score_codex":0.0014630061,"about_ca_system_score_gemma":0.004230181,"threshold_uncertainty_score":0.022591531},"labels":[],"label_agreement":null},{"id":"W2474486350","doi":"10.4242/balisagevol1.marcoux01","title":"Graph characterization of overlap-only TexMECS and other overlapping markup formalisms","year":2009,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Markup language; Computer science; Rotation formalisms in three dimensions; Graph; Programming language; Serialization; Serializability; Document Structure Description; Theoretical computer science; XML; Information retrieval; World Wide Web; Database transaction; Mathematics","score_opus":0.009800205548426531,"score_gpt":0.21770388659977685,"score_spread":0.20790368105135032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474486350","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07514876,0.00022887338,0.9083611,0.00046371119,0.000088554516,0.00013770231,0.0005424596,0.0018037001,0.0132250525],"genre_scores_gemma":[0.59010506,0.00037799272,0.3984532,0.00048974797,0.00014377022,0.00031421563,0.002378055,0.0010090534,0.0067288415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975439,0.0005132249,0.000241191,0.00068481785,0.0007403355,0.00027653578],"domain_scores_gemma":[0.9885832,0.004537875,0.0015342622,0.0029505182,0.0017620692,0.0006320619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019533508,0.00063410704,0.0005011148,0.0023372564,0.0013497479,0.0025587901,0.0014657457,0.0011405798,0.004042813],"category_scores_gemma":[0.008485476,0.0004982425,0.001458793,0.0018089681,0.0034922762,0.005917287,0.0026162534,0.0019513236,0.00092308386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017468563,0.00006085807,0.0014498951,0.00026760346,0.000032773816,0.0008479308,0.0010792497,0.015543552,0.013506527,0.9377611,0.0018236794,0.027452182],"study_design_scores_gemma":[0.000054976917,0.000117249976,0.0013652217,0.00014251212,0.000113656555,0.0014519264,0.000781343,0.089826696,0.032568693,0.81892264,0.054568194,0.000086817585],"about_ca_topic_score_codex":0.003215521,"about_ca_topic_score_gemma":0.0026733277,"teacher_disagreement_score":0.004042813,"about_ca_system_score_codex":0.0011477083,"about_ca_system_score_gemma":0.0014145466,"threshold_uncertainty_score":0.013524532},"labels":[],"label_agreement":null},{"id":"W2474899076","doi":"10.1007/978-3-319-19683-1_26","title":"The Web, Similarity, and Fuzziness","year":2015,"lang":"en","type":"book-chapter","venue":"Studies in fuzziness and soft computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Information retrieval; Computer science; Ranking (information retrieval); Relevance (law); Similarity (geometry); Categorization; RDF; Relation (database); Representation (politics); Feature (linguistics); Resource (disambiguation); Data mining; World Wide Web; Artificial intelligence; Semantic Web","score_opus":0.11101598109692438,"score_gpt":0.3323759369140038,"score_spread":0.2213599558170794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474899076","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0840683,0.2725638,0.3088671,0.033840217,0.0013174783,0.00008932013,0.00031067012,0.00032366844,0.29861942],"genre_scores_gemma":[0.8607284,0.055332817,0.063878015,0.0020456864,0.0020086414,0.00020017436,0.00028107068,0.000087603374,0.015437653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829465,0.00057372707,0.00013075063,0.00023014977,0.00071706175,0.000053732565],"domain_scores_gemma":[0.99459356,0.004311753,0.00024260308,0.0005012193,0.000263931,0.00008698293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021297329,0.00045096682,0.0008687244,0.0033015357,0.0011899563,0.005466171,0.0011069925,0.0016637533,0.0026918934],"category_scores_gemma":[0.00948561,0.00033774463,0.00050284644,0.0049744532,0.0138097545,0.011758904,0.0015793715,0.0027544352,0.00027085101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045872384,0.000010073738,0.00021311617,0.000078945755,0.000008202663,0.000019038996,0.00037238194,0.0006240043,0.00008268057,0.9822291,0.0012519883,0.015105874],"study_design_scores_gemma":[0.0000011904356,0.0000024433189,0.00014015113,0.000033471668,0.0000026422256,0.0000321339,0.00007537814,0.0007290672,0.000043599943,0.99426043,0.004676503,0.0000030287256],"about_ca_topic_score_codex":0.0017222449,"about_ca_topic_score_gemma":0.001328073,"teacher_disagreement_score":0.005466171,"about_ca_system_score_codex":0.002319293,"about_ca_system_score_gemma":0.0010492272,"threshold_uncertainty_score":0.016827703},"labels":[],"label_agreement":null},{"id":"W2477383155","doi":"10.1075/sihols.112.21ler","title":"An epistemological assessment of the Neogrammarian movement","year":2007,"lang":"en","type":"book-chapter","venue":"Amsterdam studies in the theory and history of linguistic science. Series 3, Studies in the history of linguistics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Movement (music); Epistemology; Philosophy; Aesthetics","score_opus":0.11764407263690722,"score_gpt":0.3615574885255268,"score_spread":0.2439134158886196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477383155","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03091938,0.012914857,0.08657022,0.050576393,0.0009559966,0.00006937481,0.00006867186,0.000106178835,0.8178189],"genre_scores_gemma":[0.9104429,0.005374869,0.035033677,0.00597335,0.0011924496,0.00034921643,0.00013962497,0.0002405666,0.04125328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925212,0.004640516,0.00019412262,0.0004501394,0.0019230893,0.00027075375],"domain_scores_gemma":[0.99368757,0.0042491294,0.00035312696,0.00073859823,0.00072254764,0.00024900044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008006622,0.0005605996,0.0005830623,0.0057798983,0.0044539156,0.009680121,0.0016163029,0.0038554426,0.0034206924],"category_scores_gemma":[0.008485251,0.000366853,0.00047586247,0.003835736,0.043890517,0.016167574,0.0066666296,0.006398089,0.00069972617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012878633,0.000002831896,0.00001639433,0.000007611604,4.27069e-7,0.0000073348083,0.00073458836,0.00002888732,0.000015263091,0.99796,0.00029294685,0.00093231763],"study_design_scores_gemma":[0.000002992712,0.0000036034712,0.000039523606,0.000034414534,9.4651205e-7,0.0000277982,0.0010499674,0.00028120982,0.00007123109,0.9772276,0.021257833,0.0000027991025],"about_ca_topic_score_codex":0.0009810419,"about_ca_topic_score_gemma":0.0012528343,"teacher_disagreement_score":0.009680121,"about_ca_system_score_codex":0.0063771796,"about_ca_system_score_gemma":0.0042386637,"threshold_uncertainty_score":0.046269834},"labels":[],"label_agreement":null},{"id":"W2477481691","doi":"10.4018/978-1-59140-982-3.ch034","title":"Semantic Web Services for Healthcare","year":2006,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Semantic Web; Web service; Social Semantic Web; World Wide Web; Computer science; Ontology; Web standards; Standardization; Health care; Knowledge management","score_opus":0.021909466810760902,"score_gpt":0.2616413725588891,"score_spread":0.2397319057481282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477481691","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012375051,0.1346782,0.17214288,0.022275578,0.0076821703,0.0003638727,0.0012772719,0.0025970943,0.6577455],"genre_scores_gemma":[0.055389967,0.23320022,0.26745757,0.01666802,0.0048015583,0.0009828425,0.006167834,0.0017871123,0.41354483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99856395,0.00035580262,0.00010409039,0.00013559255,0.00071929785,0.000121322024],"domain_scores_gemma":[0.99959093,0.00015722934,0.000021562484,0.00007059947,0.000106535954,0.000053206975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011882795,0.0014794968,0.00091825007,0.0026437442,0.0014749763,0.0056571127,0.0015816025,0.0037379037,0.025307046],"category_scores_gemma":[0.001835528,0.00046125113,0.0009931703,0.0065090163,0.0019625672,0.0071040727,0.003967059,0.0034100441,0.01638444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000169135,0.00003532446,0.000057829577,0.0007700455,0.000025738727,0.00021691542,0.00048802202,0.0017649662,0.00058620697,0.6679552,0.14983928,0.1782435],"study_design_scores_gemma":[0.0000050236304,0.0000039662877,0.00003199559,0.00030411064,0.0000040649365,0.00014945399,0.00010043247,0.00082286564,0.00010872864,0.16154638,0.83691514,0.000007819194],"about_ca_topic_score_codex":0.003124798,"about_ca_topic_score_gemma":0.0037243208,"teacher_disagreement_score":0.025307046,"about_ca_system_score_codex":0.0025117574,"about_ca_system_score_gemma":0.0032051543,"threshold_uncertainty_score":0.08466053},"labels":[],"label_agreement":null},{"id":"W2478999334","doi":"10.1007/978-3-319-42019-6","title":"Rule Technologies. Research, Tools, and Applications","year":2016,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"RuleML; Computer science; World Wide Web; Programming language; Software engineering; XML; Markup language; XHTML","score_opus":0.04128799239865071,"score_gpt":0.30501200609348317,"score_spread":0.26372401369483245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478999334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024136933,0.15921098,0.4621962,0.005985299,0.0039947056,0.00042851397,0.0043423283,0.00952516,0.3519031],"genre_scores_gemma":[0.031963058,0.17920145,0.5318441,0.0041560913,0.0029250458,0.00084169285,0.0159538,0.0031913423,0.22992343],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817216,0.00027102765,0.00028812743,0.00029616914,0.00090377976,0.00006885058],"domain_scores_gemma":[0.9973552,0.0015423571,0.00014188676,0.000484313,0.00036725,0.00010907498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017356465,0.001611668,0.001561124,0.005503978,0.0007696317,0.009356217,0.002273414,0.002049529,0.018230587],"category_scores_gemma":[0.004677272,0.0011136767,0.0012545108,0.009622258,0.0020904068,0.0138437925,0.0023153233,0.0030243362,0.02319216],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027367503,0.00007724377,0.00021263695,0.0013051706,0.000030169613,0.0001290305,0.00029268328,0.0011362246,0.000995743,0.243691,0.08570314,0.6663996],"study_design_scores_gemma":[0.000023056078,0.000019071753,0.00029799034,0.00084660103,0.00004196256,0.0007872127,0.00016039844,0.0028389106,0.0010648438,0.28180355,0.71208715,0.000029307552],"about_ca_topic_score_codex":0.0020107334,"about_ca_topic_score_gemma":0.00218814,"teacher_disagreement_score":0.018230587,"about_ca_system_score_codex":0.0008943075,"about_ca_system_score_gemma":0.0016423491,"threshold_uncertainty_score":0.060987413},"labels":[],"label_agreement":null},{"id":"W2481618729","doi":"10.2495/dne-v11-n3-416-427","title":"Leveraging information for high level-of-abstraction organizational processes","year":2016,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Blackboard (design pattern); Process (computing); Agile software development; Abstraction; Ontology; Information system; Knowledge management; Process management; Software engineering; Data science; Engineering","score_opus":0.025490289133865193,"score_gpt":0.26167997907553875,"score_spread":0.23618968994167355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481618729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006923204,0.0002886362,0.98507637,0.00088393746,0.0000527563,0.00017363575,0.00016015155,0.00062647,0.0058148075],"genre_scores_gemma":[0.219247,0.0009029234,0.77493095,0.00021590228,0.00007351101,0.00043495386,0.00070165005,0.00021691003,0.0032761951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941782,0.0021381602,0.0006756227,0.00090591196,0.0016436054,0.00045854598],"domain_scores_gemma":[0.99240816,0.003429376,0.0008736493,0.0022729607,0.00066996773,0.00034584952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005219316,0.0011469945,0.00096523616,0.003150151,0.0015330644,0.010075153,0.0022473028,0.0023678027,0.0032139323],"category_scores_gemma":[0.010901885,0.0011458517,0.0026100844,0.002337273,0.0035288404,0.011132995,0.0064529036,0.0034747252,0.0011010388],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012737849,0.00021129697,0.0033684287,0.0006264482,0.00015469022,0.00073805195,0.0043076146,0.087809615,0.008263457,0.7996545,0.0021577966,0.09258071],"study_design_scores_gemma":[0.00006519414,0.00018057332,0.0014634344,0.0006155436,0.00023471715,0.00035425994,0.0010018061,0.3106558,0.009152295,0.5782402,0.09788129,0.0001548787],"about_ca_topic_score_codex":0.005411235,"about_ca_topic_score_gemma":0.0043894555,"teacher_disagreement_score":0.010075153,"about_ca_system_score_codex":0.002310494,"about_ca_system_score_gemma":0.0041893832,"threshold_uncertainty_score":0.027602673},"labels":[],"label_agreement":null},{"id":"W2483642945","doi":"10.4018/978-1-59904-343-2.ch008","title":"Ontology-Based Approach to Formalization of Competencies","year":2007,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Metadata; Computer science; Schema (genetic algorithms); Ontology; Standardization; Learning object; Knowledge management; Competence (human resources); Metadata repository; Information retrieval; World Wide Web","score_opus":0.04396949676159078,"score_gpt":0.2624870946188829,"score_spread":0.21851759785729213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483642945","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030948005,0.0029293408,0.9522799,0.002309354,0.00023962762,0.00018316432,0.0004644895,0.00042211302,0.03807719],"genre_scores_gemma":[0.093219504,0.0053859595,0.8823128,0.000702071,0.00017876367,0.00053354725,0.0015612793,0.00019070243,0.01591544],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981883,0.00065573835,0.00024150223,0.00023335875,0.00057102577,0.000109958404],"domain_scores_gemma":[0.9987134,0.0006796971,0.00009961686,0.00023429071,0.00021769675,0.000055261906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023654432,0.0008672948,0.000703738,0.002947645,0.0013733009,0.004478656,0.0023010776,0.0014697668,0.0045427484],"category_scores_gemma":[0.0029012356,0.00053021585,0.001848236,0.0035542636,0.0032840506,0.007577811,0.0027161052,0.003993336,0.0009066542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000703328,0.000026430613,0.00011067568,0.00014675714,0.000018054907,0.00014154986,0.0006764368,0.0045453445,0.0008211352,0.96047467,0.002277271,0.030754656],"study_design_scores_gemma":[0.00001127456,0.00001750757,0.00022605769,0.0002862151,0.000041010047,0.00034340605,0.00050651084,0.031389613,0.0013530235,0.8110643,0.15472898,0.000032125125],"about_ca_topic_score_codex":0.008929325,"about_ca_topic_score_gemma":0.0076972386,"teacher_disagreement_score":0.008929325,"about_ca_system_score_codex":0.0035952318,"about_ca_system_score_gemma":0.0031576694,"threshold_uncertainty_score":0.026085377},"labels":[],"label_agreement":null},{"id":"W24837567","doi":"10.1111/hiv.12168","title":"Towards Restraining Cost in Healthcare Domain: A Multiagent Approach","year":2008,"lang":"en","type":"article","venue":"Communications of the IBIMA","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Health care; Order (exchange); Computer science; Profiling (computer programming); Domain (mathematical analysis); Business; Control (management); Mechanism (biology); Fuzzy logic; Process management; Risk analysis (engineering); Knowledge management; Artificial intelligence; Economics","score_opus":0.14165864951729817,"score_gpt":0.32655294769299503,"score_spread":0.18489429817569686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W24837567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13076757,0.001058374,0.8500071,0.004583188,0.000109924615,0.0002645771,0.00026791292,0.0005734273,0.012367864],"genre_scores_gemma":[0.6960801,0.0003625769,0.30015245,0.0002550928,0.00007272654,0.00017540199,0.00019447846,0.00012534362,0.002581906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981567,0.0010530038,0.00011012188,0.0002664481,0.00025326692,0.00016052586],"domain_scores_gemma":[0.9962155,0.0021896127,0.0005001683,0.00027312408,0.0005446314,0.00027692053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039524874,0.000906955,0.0011408883,0.0018473513,0.001155269,0.0035335198,0.0017549093,0.001568038,0.002196955],"category_scores_gemma":[0.0065443227,0.0006532628,0.0011128967,0.0013900878,0.0007353934,0.004356996,0.0027441774,0.001363441,0.00025148632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025436573,0.0005519242,0.011034175,0.0003292927,0.00054497126,0.00038873922,0.0006441061,0.7672882,0.0039454554,0.05584811,0.0046568834,0.15451378],"study_design_scores_gemma":[0.000019269944,0.000038022165,0.0011364737,0.000024947818,0.000082326034,0.00005256309,0.00024553604,0.96744376,0.0005104961,0.027882079,0.0025474722,0.000017015302],"about_ca_topic_score_codex":0.008981209,"about_ca_topic_score_gemma":0.010051866,"teacher_disagreement_score":0.008981209,"about_ca_system_score_codex":0.0019965114,"about_ca_system_score_gemma":0.0017317893,"threshold_uncertainty_score":0.020902991},"labels":[],"label_agreement":null},{"id":"W2483757798","doi":"","title":"Ontology-driven semantic transformation for cooperative information systems","year":2009,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Ontology; Semantic Web; World Wide Web; Knowledge management; Software engineering","score_opus":0.07321849002113126,"score_gpt":0.3036848669758517,"score_spread":0.23046637695472041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483757798","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004940725,0.00020372096,0.97694594,0.0009371709,0.00008073007,0.00017944824,0.00008883933,0.0006086905,0.016014652],"genre_scores_gemma":[0.34540188,0.00075820705,0.64008,0.0004710482,0.00008395272,0.0005816161,0.0007856368,0.00026963858,0.011568021],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99709713,0.0009866216,0.00025089926,0.00032853577,0.0011316431,0.00020504653],"domain_scores_gemma":[0.99875534,0.00041824396,0.000098579745,0.00038897278,0.0002480553,0.000090802496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031988625,0.00042469692,0.0006331064,0.0010467597,0.0014334045,0.0035749853,0.0014508663,0.0014554184,0.0024541728],"category_scores_gemma":[0.0041381614,0.0004431008,0.0015734514,0.0011888059,0.0032527202,0.0054583247,0.0051808804,0.002575836,0.00088865205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025700274,0.000054682656,0.000120172444,0.000061781,0.00002009904,0.00016451572,0.00067391153,0.026097143,0.0018642668,0.9456106,0.0017611103,0.02354605],"study_design_scores_gemma":[0.000028840293,0.000026763928,0.00007120283,0.000040574057,0.000018374067,0.000091538954,0.00030457432,0.21909942,0.0025579454,0.7216504,0.05608641,0.000023890843],"about_ca_topic_score_codex":0.0058385544,"about_ca_topic_score_gemma":0.004833755,"teacher_disagreement_score":0.0058385544,"about_ca_system_score_codex":0.0026969407,"about_ca_system_score_gemma":0.0038892194,"threshold_uncertainty_score":0.019567788},"labels":[],"label_agreement":null},{"id":"W2484355819","doi":"10.4018/978-1-4666-0327-1.ch003","title":"Toward an Architecture for Enhancing Semantic Interoperability Based on Enrichment of Geospatial Data Semantics","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in geospatial technologies book series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Semantic interoperability; Computer science; Geospatial analysis; Interoperability; Ontology; Semantic grid; Semantic Web Stack; Semantics (computer science); Semantic computing; Information retrieval; Semantic Web; Semantic integration; Semantic technology; World Wide Web; Semantic analytics; Geography; Programming language","score_opus":0.02520092816590592,"score_gpt":0.273368168398109,"score_spread":0.2481672402322031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484355819","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003921911,0.0013617242,0.9512862,0.0023512212,0.0002284318,0.00015469283,0.000067912246,0.0018130696,0.038814947],"genre_scores_gemma":[0.044876255,0.0037545247,0.91228276,0.0007989131,0.00011934604,0.0002997525,0.0007718762,0.0005987956,0.03649771],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881697,0.00022263109,0.00009825047,0.00020746514,0.00055861095,0.00009605636],"domain_scores_gemma":[0.99927,0.00016099898,0.000042724972,0.00020901364,0.0002349141,0.00008230845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027205183,0.00087556866,0.0006190316,0.0019508647,0.0014781738,0.005903422,0.0024271011,0.0020839325,0.0041001607],"category_scores_gemma":[0.002129533,0.0008239418,0.0014961183,0.0036624293,0.0021989818,0.011358191,0.005423223,0.0038772137,0.0025860316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001558672,0.0000757576,0.00025082674,0.000198341,0.000033682536,0.00016347591,0.0010220412,0.007881507,0.00461244,0.8890729,0.010212369,0.086461134],"study_design_scores_gemma":[0.000017091437,0.000033873654,0.0002807937,0.0002346307,0.000075355594,0.0004360334,0.00041664674,0.08224518,0.0073599527,0.49901727,0.40984145,0.000041847732],"about_ca_topic_score_codex":0.0029913923,"about_ca_topic_score_gemma":0.0032640437,"teacher_disagreement_score":0.005903422,"about_ca_system_score_codex":0.0024692123,"about_ca_system_score_gemma":0.0031597505,"threshold_uncertainty_score":0.017915487},"labels":[],"label_agreement":null},{"id":"W2484724572","doi":"10.5840/cpsem201128","title":"Epistemological Outlook on Sign Conceptions for the Aims of General Semiotics","year":2011,"lang":"en","type":"book-chapter","venue":"Semiotics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Semiotics; Sign (mathematics); Epistemology; Sign system; Philosophy; Sociology; Linguistics; Mathematics","score_opus":0.07579174531606038,"score_gpt":0.276295971789891,"score_spread":0.20050422647383065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484724572","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009992047,0.011625185,0.32630873,0.05062299,0.0037568128,0.00009509093,0.00033431494,0.00026763103,0.59699714],"genre_scores_gemma":[0.7592246,0.011416009,0.1209802,0.01157763,0.004764268,0.00094940857,0.00059334724,0.00066630694,0.08982815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967008,0.0020556413,0.0001678405,0.000259617,0.0006408325,0.0001752781],"domain_scores_gemma":[0.9959656,0.0026307658,0.00017200223,0.00048295147,0.0005413738,0.00020728858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054581044,0.0007767055,0.0011606634,0.0027045761,0.0038799732,0.009194211,0.0017092184,0.0045943805,0.0059759608],"category_scores_gemma":[0.0052123563,0.0004844934,0.0008920128,0.0017658047,0.025159758,0.012630567,0.003422081,0.009619845,0.0017281009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015460264,0.0000019463773,0.0000038804205,0.000007770095,4.5793507e-7,0.0000046673,0.0001454743,0.0000302148,0.000016596307,0.99901557,0.0003577852,0.00041411808],"study_design_scores_gemma":[0.0000026182345,0.00000295376,0.0000108562235,0.000030692707,0.0000012209199,0.000016076654,0.000139671,0.00019717404,0.00004859978,0.9873905,0.012156789,0.0000027898404],"about_ca_topic_score_codex":0.0010402125,"about_ca_topic_score_gemma":0.000961326,"teacher_disagreement_score":0.009194211,"about_ca_system_score_codex":0.0033898253,"about_ca_system_score_gemma":0.0023424593,"threshold_uncertainty_score":0.028865516},"labels":[],"label_agreement":null},{"id":"W2487152515","doi":"10.4018/978-1-60566-266-4.ch013","title":"Human Factors in Dynamic E-Health Systems and Digital Libraries","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Rotation formalisms in three dimensions; Computer science; Knowledge management; Context (archaeology); Data science; Domain (mathematical analysis); Domain knowledge; Ontology; Knowledge sharing; Human–computer interaction","score_opus":0.02043475010117508,"score_gpt":0.25376294212875844,"score_spread":0.23332819202758337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487152515","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037211245,0.21991822,0.031108288,0.021321435,0.0014882957,0.00008738145,0.00020864372,0.00022051865,0.72192603],"genre_scores_gemma":[0.1456105,0.27121505,0.037558585,0.010222285,0.0026078897,0.00024218133,0.0005079203,0.00027832907,0.5317572],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942553,0.00022189297,0.000025997677,0.00009435444,0.00018412966,0.00004818537],"domain_scores_gemma":[0.9991504,0.0006529864,0.00003121237,0.0000668417,0.00005926457,0.000039243205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008510006,0.0006895008,0.0004339617,0.0014904964,0.0010765371,0.006130676,0.0010092182,0.0026275232,0.023835411],"category_scores_gemma":[0.0012416164,0.00029569535,0.0003339333,0.0039787744,0.0036310512,0.008616941,0.0018127107,0.0016387883,0.00415433],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015285987,0.00003633707,0.00031407326,0.0007799542,0.000014212334,0.0001810157,0.0019731976,0.0010569791,0.0003233176,0.75097334,0.06900538,0.17532688],"study_design_scores_gemma":[0.0000053966883,0.000011445357,0.0005558358,0.0006654412,0.000013360244,0.0002632706,0.0010317786,0.00054527575,0.00015801033,0.1685041,0.82823217,0.000013960615],"about_ca_topic_score_codex":0.0031985189,"about_ca_topic_score_gemma":0.0034532202,"teacher_disagreement_score":0.023835411,"about_ca_system_score_codex":0.003118026,"about_ca_system_score_gemma":0.0017563225,"threshold_uncertainty_score":0.079737425},"labels":[],"label_agreement":null},{"id":"W2487532682","doi":"10.1007/978-3-319-15326-1","title":"Ontology Modeling in Physical Asset Integrity Management","year":2015,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Ontology; Computer science; Asset (computer security); Business; Knowledge management; Computer security; Epistemology; Philosophy","score_opus":0.08885975492398597,"score_gpt":0.30585904843755657,"score_spread":0.2169992935135706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487532682","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036994906,0.03957499,0.77625716,0.004451344,0.0015705255,0.00009438712,0.0005232517,0.001161497,0.17266741],"genre_scores_gemma":[0.13705307,0.11089488,0.5304237,0.0020292883,0.0016772808,0.00031718562,0.0032112,0.0011360164,0.21325736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993406,0.00010902488,0.00005028067,0.000080466525,0.00038832758,0.00003128143],"domain_scores_gemma":[0.99959785,0.00017413702,0.000031771884,0.00008016687,0.00009810352,0.00001794759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081196846,0.00086942455,0.00088269374,0.0015185016,0.000676106,0.003647326,0.0016093855,0.0010525199,0.0041037956],"category_scores_gemma":[0.0015309717,0.00067392003,0.0010811512,0.0030625477,0.0014450483,0.0077934302,0.0013916808,0.002357752,0.0020542997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011246974,0.000043680386,0.00016784901,0.0003031829,0.00003750769,0.00012588935,0.00033799617,0.020351399,0.0007227945,0.7569194,0.038241226,0.18273789],"study_design_scores_gemma":[0.000004104965,0.000007716873,0.00019668188,0.00033591394,0.000035330577,0.00025970503,0.00013555301,0.040605895,0.00064809865,0.63234186,0.32540843,0.00002077744],"about_ca_topic_score_codex":0.007892111,"about_ca_topic_score_gemma":0.007020722,"teacher_disagreement_score":0.007892111,"about_ca_system_score_codex":0.0019693456,"about_ca_system_score_gemma":0.001599373,"threshold_uncertainty_score":0.015692353},"labels":[],"label_agreement":null},{"id":"W2488232538","doi":"10.1017/cbo9780511584046.010","title":"Linked Data Structures","year":2003,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","score_opus":0.058647742151966345,"score_gpt":0.22673545929273806,"score_spread":0.1680877171407717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2488232538","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002211589,0.015543884,0.8184298,0.0038137545,0.0018252372,0.0005629968,0.008092794,0.011529508,0.1379905],"genre_scores_gemma":[0.036903538,0.021347754,0.74231225,0.0037643579,0.0015125362,0.0012635858,0.023274792,0.0046132104,0.16500798],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970085,0.00057210086,0.0003841525,0.00035334274,0.0015396184,0.00014231302],"domain_scores_gemma":[0.99674016,0.0012844639,0.0001460186,0.0010054167,0.0007041743,0.000119760945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020199518,0.0011491965,0.00096600107,0.0047820755,0.0019903963,0.0076920036,0.002791775,0.002084466,0.03305046],"category_scores_gemma":[0.008183628,0.0010926047,0.001478128,0.010578786,0.002215795,0.0109154,0.0043934938,0.0028505397,0.019727463],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003588376,0.000043364817,0.00018168302,0.00067664054,0.0000371469,0.00014539619,0.00056063646,0.0015084593,0.0014184819,0.6377639,0.10629945,0.25132903],"study_design_scores_gemma":[0.000015427146,0.000018887606,0.00006076793,0.00023683306,0.00001582797,0.00033199496,0.0000674904,0.0018429527,0.0015906226,0.22059949,0.7751981,0.000021478116],"about_ca_topic_score_codex":0.0014265459,"about_ca_topic_score_gemma":0.0016767421,"teacher_disagreement_score":0.03305046,"about_ca_system_score_codex":0.0015927615,"about_ca_system_score_gemma":0.0025916586,"threshold_uncertainty_score":0.11056477},"labels":[],"label_agreement":null},{"id":"W2488992561","doi":"10.4018/978-1-4666-0948-8.ch018","title":"Enhancing Information Retrieval Capabilities of Knowledge Management Systems","year":2012,"lang":"en","type":"book-chapter","venue":"Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Information retrieval; Cloud computing; Cognitive models of information retrieval; Service (business); Metadata; Thesaurus; Context (archaeology); Human–computer information retrieval; World Wide Web; Search engine; Artificial intelligence","score_opus":0.007103504731129687,"score_gpt":0.23079448926279883,"score_spread":0.22369098453166913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2488992561","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09998236,0.037136916,0.35263628,0.007904905,0.00043927858,0.0006379016,0.0005971511,0.0056454022,0.49501988],"genre_scores_gemma":[0.48335648,0.037195668,0.3946737,0.0019804942,0.0006221314,0.0004887048,0.0016155669,0.0009350844,0.0791322],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976393,0.0007143203,0.00020971296,0.00021417982,0.0010981259,0.00012437328],"domain_scores_gemma":[0.9955922,0.003096112,0.00013179114,0.0005110244,0.0006012393,0.00006767226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002955027,0.0005545809,0.0005703948,0.0034338408,0.00060267624,0.007130784,0.0011960315,0.001254717,0.007812254],"category_scores_gemma":[0.009267181,0.0003765707,0.00075082714,0.003159731,0.0010367349,0.012533897,0.0019446773,0.0007450095,0.004191731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017794603,0.00019414608,0.00055772223,0.0024407534,0.00009691731,0.00021302776,0.002667866,0.0064759846,0.035858016,0.24180809,0.017995298,0.69151425],"study_design_scores_gemma":[0.00020169094,0.00052671536,0.0031305458,0.0018045087,0.0004005595,0.0011927934,0.0021865524,0.0844944,0.07011396,0.20552075,0.63021046,0.00021705845],"about_ca_topic_score_codex":0.0012898723,"about_ca_topic_score_gemma":0.0008228167,"teacher_disagreement_score":0.007812254,"about_ca_system_score_codex":0.0013883958,"about_ca_system_score_gemma":0.0011880164,"threshold_uncertainty_score":0.02613461},"labels":[],"label_agreement":null},{"id":"W2489683395","doi":"10.1017/cbo9780511762956.080","title":"Natural Reference Configuration","year":2010,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Natural (archaeology); Geography; Archaeology","score_opus":0.027570659186247595,"score_gpt":0.20615453541622397,"score_spread":0.17858387622997637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489683395","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023024585,0.0015208159,0.03838923,0.0012913456,0.0010160658,0.00006926234,0.00080610014,0.0004226187,0.9541821],"genre_scores_gemma":[0.13463269,0.003619651,0.07994449,0.0017642974,0.0007054343,0.00048122593,0.0042076875,0.001298851,0.77334565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99928975,0.00017013277,0.000041134226,0.00023399305,0.00020597695,0.000059085236],"domain_scores_gemma":[0.9997017,0.000043830194,0.000015802225,0.00010594174,0.000102029124,0.00003064425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004619047,0.00059991796,0.0006892587,0.001669607,0.0033257676,0.0045023663,0.0016214903,0.00172957,0.08609967],"category_scores_gemma":[0.0015101417,0.0003602985,0.00042001627,0.0020648648,0.0030999298,0.00798926,0.0030461475,0.0016008057,0.030894136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007973501,0.0000051487473,0.000019426334,0.00003255263,0.0000018310776,0.00006002535,0.00019596078,0.00009537577,0.00023314479,0.9694928,0.019843725,0.010012024],"study_design_scores_gemma":[0.000005618675,0.0000075739968,0.00005253777,0.000054426837,0.0000024408378,0.00023724422,0.00021403164,0.00038672684,0.0003233628,0.29220295,0.70650333,0.000009729044],"about_ca_topic_score_codex":0.0018492461,"about_ca_topic_score_gemma":0.003296537,"teacher_disagreement_score":0.08609967,"about_ca_system_score_codex":0.0018705771,"about_ca_system_score_gemma":0.0009452894,"threshold_uncertainty_score":0.2880321},"labels":[],"label_agreement":null},{"id":"W2491176664","doi":"10.4018/978-1-60566-992-2.ch009","title":"Ontology Driven Document Identification in Semantic Web","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in semantic web and information systems series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Hierarchy; Ontology; Information retrieval; Semantic Web; World Wide Web; Knowledge representation and reasoning; Semantic Web Stack; Variety (cybernetics); Social Semantic Web; Artificial intelligence","score_opus":0.007551594809491529,"score_gpt":0.23455344625227809,"score_spread":0.22700185144278656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491176664","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009384783,0.0020827136,0.973239,0.00078663597,0.00016018444,0.00030790613,0.00044232898,0.0021364393,0.011459957],"genre_scores_gemma":[0.1125064,0.0022845617,0.8736546,0.00032433402,0.00010294577,0.00038252713,0.0013686914,0.0003293225,0.009046607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996482,0.0010418112,0.00031335108,0.0004758675,0.0014762841,0.0002105468],"domain_scores_gemma":[0.9978951,0.00088907056,0.00017714538,0.00042832547,0.0005223781,0.000087940716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002453427,0.000494303,0.0008784491,0.0060260543,0.0016076724,0.004532703,0.0017449437,0.0018719613,0.0023518116],"category_scores_gemma":[0.0054168943,0.00056992745,0.0011628601,0.005842511,0.0018277926,0.006595487,0.0023548063,0.0015975717,0.0019662965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001986392,0.00022970542,0.0017193931,0.0008523761,0.00006841188,0.0010366157,0.0020240825,0.019428944,0.01289583,0.48495892,0.013849463,0.46273768],"study_design_scores_gemma":[0.0000611286,0.00008993107,0.0013455927,0.00034682546,0.00008589487,0.001645306,0.0015045052,0.35272232,0.043756142,0.41308907,0.18521485,0.00013853972],"about_ca_topic_score_codex":0.005448572,"about_ca_topic_score_gemma":0.0044771656,"teacher_disagreement_score":0.0060260543,"about_ca_system_score_codex":0.001969252,"about_ca_system_score_gemma":0.0020166142,"threshold_uncertainty_score":0.014287949},"labels":[],"label_agreement":null},{"id":"W2494446292","doi":"10.4018/978-1-61520-883-8.ch009","title":"Structuring the Cultural Domain with an Upper Ontology of Culture","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Conceptualization; Ontology; Structuring; Interoperability; Domain (mathematical analysis); Knowledge management; Sociology; Epistemology; Engineering ethics; Social science; Computer science; Engineering; Political science; World Wide Web; Philosophy; Artificial intelligence","score_opus":0.014000680402101905,"score_gpt":0.24496768200672075,"score_spread":0.23096700160461886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494446292","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015850248,0.00699686,0.6744414,0.009145472,0.0008847098,0.00027872715,0.00033155526,0.0003298811,0.2917411],"genre_scores_gemma":[0.35773557,0.009688952,0.59563905,0.0030528433,0.00044304458,0.00087293674,0.00088344776,0.00027883123,0.03140537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99820805,0.00095338403,0.00015721141,0.00023108647,0.00029935283,0.00015087804],"domain_scores_gemma":[0.99862933,0.00069154485,0.000107688174,0.00029327028,0.00018006156,0.00009800221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023408807,0.00060649577,0.0006963495,0.0030749077,0.0029185116,0.011284259,0.0012841258,0.0019240837,0.0027294154],"category_scores_gemma":[0.0023776612,0.00048295234,0.0011478537,0.0037950326,0.013417917,0.0143601885,0.00475529,0.0042781252,0.00078573223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023593643,0.000008071476,0.00012045237,0.000045267232,0.00000396806,0.000041423005,0.0030482737,0.00022786696,0.00019193628,0.98413104,0.00089558546,0.011283757],"study_design_scores_gemma":[0.000004339117,0.000006684263,0.00030457327,0.00022667553,0.000011008239,0.00015317622,0.0036558327,0.0018215429,0.00027483437,0.85880756,0.13471588,0.000017965342],"about_ca_topic_score_codex":0.008402761,"about_ca_topic_score_gemma":0.0065111383,"teacher_disagreement_score":0.011284259,"about_ca_system_score_codex":0.00294688,"about_ca_system_score_gemma":0.0050657247,"threshold_uncertainty_score":0.021381259},"labels":[],"label_agreement":null},{"id":"W2494980320","doi":"","title":"Towards understanding the needs of cognitive support","year":2006,"lang":"en","type":"article","venue":"International Conference on Ontology Matching","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Ontology; Plug-in; Task (project management); Visualization; Focus (optics); Data science; Human–computer interaction; Software engineering; Information retrieval; Data mining; Programming language","score_opus":0.07790620220696721,"score_gpt":0.317948770378657,"score_spread":0.24004256817168979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494980320","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22812657,0.019380018,0.16454828,0.2950762,0.0006000346,0.00025371,0.00066444266,0.0011202936,0.29023045],"genre_scores_gemma":[0.90599495,0.0055937553,0.07308169,0.0083567975,0.00046048136,0.0004106322,0.0004071632,0.00017883047,0.0055156914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99407923,0.0019752274,0.00036862236,0.0009352434,0.0017444277,0.00089725334],"domain_scores_gemma":[0.9534243,0.031103322,0.0020114705,0.0033560465,0.007934395,0.002170482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01129551,0.0009589362,0.00097379746,0.0040826257,0.00306068,0.013949393,0.0032381278,0.0067997114,0.006426997],"category_scores_gemma":[0.033408873,0.0007615743,0.0008398651,0.0025487936,0.010865101,0.03292202,0.006570008,0.0056631058,0.00097613543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020569081,0.0003155248,0.008194638,0.0010795245,0.000043162614,0.0005583998,0.028119551,0.0029402827,0.0019980788,0.8284628,0.009379385,0.118703045],"study_design_scores_gemma":[0.00005485257,0.000066441404,0.0055068154,0.000519428,0.00003166852,0.00045087954,0.023148142,0.010653922,0.0009097764,0.8965824,0.062016904,0.000058625163],"about_ca_topic_score_codex":0.009785031,"about_ca_topic_score_gemma":0.0046818466,"teacher_disagreement_score":0.013949393,"about_ca_system_score_codex":0.00485051,"about_ca_system_score_gemma":0.006407475,"threshold_uncertainty_score":0.059737086},"labels":[],"label_agreement":null},{"id":"W2495275039","doi":"10.4018/978-1-60960-485-1.ch015","title":"Development of an Ontology-Based E-Recruitment Application that Integrates Social Web","year":2011,"lang":"en","type":"book-chapter","venue":"Advances in e-business research series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Ontology; Computer science; Domain (mathematical analysis); Order (exchange); Knowledge management; Context (archaeology); Semantic Web; World Wide Web; Business","score_opus":0.17509236161799532,"score_gpt":0.38915901596297325,"score_spread":0.21406665434497793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495275039","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03263763,0.00019728187,0.8904319,0.0010094047,0.00017703419,0.0022642834,0.0010282077,0.030178506,0.042075716],"genre_scores_gemma":[0.06824819,0.000464388,0.88865477,0.00044914277,0.000032630724,0.0015485402,0.0028411099,0.003108996,0.034652278],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990885,0.0001949875,0.00007753367,0.00011033406,0.00047939183,0.000049223934],"domain_scores_gemma":[0.99886537,0.0006108256,0.000051133993,0.00016039672,0.0002112471,0.000101099606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020728586,0.00057310483,0.0005919884,0.0010235567,0.001032627,0.0023997163,0.0013193928,0.0012370293,0.008628175],"category_scores_gemma":[0.0036446895,0.0006353808,0.00069904426,0.0008129393,0.00053747435,0.003449594,0.0025529384,0.0014914945,0.003360358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003032529,0.0014462931,0.0040544,0.0018662409,0.000100579695,0.0018592585,0.0112963915,0.011336343,0.08309828,0.08669045,0.046822026,0.75112647],"study_design_scores_gemma":[0.00015762956,0.00021575816,0.004220599,0.00040178176,0.00009113864,0.0017881652,0.002266953,0.10564579,0.05861784,0.027748289,0.79866797,0.00017801639],"about_ca_topic_score_codex":0.0012776769,"about_ca_topic_score_gemma":0.0020229926,"teacher_disagreement_score":0.008628175,"about_ca_system_score_codex":0.0006990327,"about_ca_system_score_gemma":0.0019224418,"threshold_uncertainty_score":0.028864086},"labels":[],"label_agreement":null},{"id":"W2495904532","doi":"10.4018/978-1-4666-0327-1.ch001","title":"Universal Geospatial Ontology for the Semantic Interoperability of Data","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in geospatial technologies book series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Interoperability; Geospatial analysis; Ontology; Semantic interoperability; Computer science; Upper ontology; Process (computing); Data science; Information retrieval; World Wide Web; Semantic Web; Geography; Programming language","score_opus":0.024630562921168234,"score_gpt":0.27000001041500643,"score_spread":0.2453694474938382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495904532","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002663445,0.034598038,0.6924896,0.007254065,0.0028805176,0.000469027,0.0013312838,0.001343063,0.25697094],"genre_scores_gemma":[0.0667686,0.061897937,0.7565925,0.005873743,0.0012491201,0.00097510754,0.006246443,0.0010616912,0.099334896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99792117,0.00044068648,0.00027807694,0.00025728953,0.0009665911,0.00013617892],"domain_scores_gemma":[0.999074,0.00040829513,0.000074796415,0.00021883904,0.00016575694,0.00005832338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023095016,0.00090697565,0.00080907403,0.0040837876,0.0016816157,0.0054303547,0.0017990121,0.0022765324,0.0069189584],"category_scores_gemma":[0.0032173865,0.00060835184,0.0016146433,0.008676031,0.0031839649,0.012180665,0.0042945673,0.004033493,0.003056394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059742965,0.000017998265,0.00008420783,0.0002683175,0.000015676344,0.00019115534,0.0005782191,0.0006310879,0.00070500607,0.93102896,0.018515471,0.047958028],"study_design_scores_gemma":[0.000003988969,0.000006907712,0.00019792626,0.0005419728,0.000019031251,0.00061669224,0.00030162756,0.002565292,0.00061247515,0.31815138,0.6769595,0.00002314256],"about_ca_topic_score_codex":0.0035368756,"about_ca_topic_score_gemma":0.0036324817,"teacher_disagreement_score":0.0069189584,"about_ca_system_score_codex":0.0026840665,"about_ca_system_score_gemma":0.003942788,"threshold_uncertainty_score":0.023146272},"labels":[],"label_agreement":null},{"id":"W2496229158","doi":"10.4018/978-1-4666-0330-1.ch016","title":"Context-Aware Mobile Search Engine","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; World Wide Web; Context (archaeology); Mobile Web; Usability; Search analytics; The Internet; Context awareness; Mobile device; Search engine; Human–computer interaction; Mobile technology; Web search query","score_opus":0.029445704277398062,"score_gpt":0.2632839360912232,"score_spread":0.23383823181382513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496229158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2120738,0.03011378,0.5329863,0.0018974581,0.00049062935,0.00066827255,0.0009732804,0.009672124,0.21112446],"genre_scores_gemma":[0.7729582,0.006544751,0.17434287,0.0004271879,0.00009594606,0.00017960659,0.00078116084,0.00019782424,0.04447249],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998086,0.000040650277,0.000013683854,0.000035415316,0.000073541974,0.000028149301],"domain_scores_gemma":[0.9998611,0.000041441956,0.000009668003,0.000022485148,0.000050509105,0.000014748174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002244859,0.0004178476,0.00046058922,0.0007533941,0.00045759283,0.0015921214,0.0007078103,0.0009977606,0.0027947288],"category_scores_gemma":[0.00066697464,0.00024818536,0.00036134332,0.00079169037,0.00023649023,0.0020477858,0.00087988167,0.000510839,0.0013804717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006722682,0.00038022004,0.003907738,0.0017884752,0.00017363639,0.0023102092,0.0023152337,0.020342264,0.09397965,0.110512674,0.034899283,0.7287184],"study_design_scores_gemma":[0.00014100397,0.00039688623,0.009686269,0.00062924245,0.00052041706,0.006926223,0.0021729006,0.38900086,0.057127587,0.057672683,0.4755054,0.00022058132],"about_ca_topic_score_codex":0.002682312,"about_ca_topic_score_gemma":0.004724296,"teacher_disagreement_score":0.0027947288,"about_ca_system_score_codex":0.00043479688,"about_ca_system_score_gemma":0.0004261575,"threshold_uncertainty_score":0.009349346},"labels":[],"label_agreement":null},{"id":"W2496935834","doi":"10.1007/978-3-319-42019-6_9","title":"Minimal Objectification and Maximal Unnesting in PSOA RuleML","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Programming language; Identifier; Correctness; Theoretical computer science; Nested loop join; Database","score_opus":0.021166362842739716,"score_gpt":0.2449849212061027,"score_spread":0.223818558363363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496935834","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009268664,0.00019535067,0.96220165,0.00054202584,0.00018808723,0.00020054076,0.0012751007,0.005205545,0.02092293],"genre_scores_gemma":[0.15862145,0.0003165348,0.82317084,0.00042161034,0.00013936858,0.0002390662,0.0036730058,0.0024503688,0.01096783],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99504244,0.0012242784,0.00079486286,0.00096375175,0.0016673638,0.00030727603],"domain_scores_gemma":[0.9938793,0.0031290504,0.00022898482,0.0017297065,0.0008823442,0.00015060505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031560939,0.0008040813,0.0009023323,0.0015984814,0.0011014947,0.0051798136,0.0023150535,0.0013417548,0.010823073],"category_scores_gemma":[0.011279749,0.0014700693,0.0024067722,0.0011976851,0.0029672538,0.006960397,0.0041308617,0.0038606746,0.0041877045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019876381,0.000152588,0.0010188422,0.00051732565,0.000079515106,0.00065163034,0.0012019925,0.016433662,0.0057897074,0.71518755,0.0102747865,0.24849358],"study_design_scores_gemma":[0.00004422234,0.000049877613,0.0002921678,0.00026833412,0.00012199982,0.00045341838,0.00030161114,0.11897981,0.023910305,0.7661806,0.08932782,0.00006988784],"about_ca_topic_score_codex":0.0032820532,"about_ca_topic_score_gemma":0.005524623,"teacher_disagreement_score":0.010823073,"about_ca_system_score_codex":0.000848017,"about_ca_system_score_gemma":0.0020815213,"threshold_uncertainty_score":0.036206782},"labels":[],"label_agreement":null},{"id":"W2499042724","doi":"10.4018/978-1-59140-503-0.ch009","title":"Classroom for the Semantic Web","year":2005,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Semantic Web; World Wide Web; Metadata; Semantic Web Stack; Multimedia; Web service; Social Semantic Web; Web standards; Learning Management; Web modeling; Data Web; Web application","score_opus":0.02667640890335656,"score_gpt":0.25650506881776225,"score_spread":0.22982865991440568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499042724","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013072797,0.045337472,0.10609956,0.026562326,0.007034542,0.00012221631,0.00026429657,0.0027847583,0.81048757],"genre_scores_gemma":[0.027590157,0.04861005,0.08479615,0.015910337,0.0034128572,0.00030117008,0.00089953863,0.0013557929,0.817124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994862,0.00010869409,0.00003519659,0.00009764959,0.00021882809,0.000053396026],"domain_scores_gemma":[0.99967265,0.00010420239,0.000018241013,0.0000802581,0.000052894648,0.00007172087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073648745,0.0009112812,0.00046907936,0.0014750186,0.00158467,0.00419682,0.0009539151,0.0025922577,0.04292892],"category_scores_gemma":[0.001165395,0.00030660737,0.0006744026,0.0013215112,0.0018202775,0.009947111,0.0038580785,0.0041799014,0.02387498],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006469347,0.00004859012,0.000057501748,0.00022292488,0.0000050326134,0.00008234805,0.00063853856,0.00022878844,0.00077177444,0.7014912,0.13365892,0.16278797],"study_design_scores_gemma":[0.0000014583643,0.0000035657647,0.000029611747,0.00011925377,0.0000012798747,0.000073042414,0.00008518409,0.0001074576,0.00009973123,0.053199634,0.9462775,0.0000023320736],"about_ca_topic_score_codex":0.00073061406,"about_ca_topic_score_gemma":0.0017671097,"teacher_disagreement_score":0.04292892,"about_ca_system_score_codex":0.0017180706,"about_ca_system_score_gemma":0.001757777,"threshold_uncertainty_score":0.14361149},"labels":[],"label_agreement":null},{"id":"W2499147215","doi":"10.4018/978-1-60566-402-6.ch020","title":"Sharing Ontologies and Rules Using Model Transformations","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Semantic Web Rule Language; Ontology; Web Ontology Language; Ontology language; Programming language; RuleML; OWL-S; XML; Syntax; Semantic Web; Natural language processing; Markup language; Artificial intelligence; World Wide Web; Semantic Web Stack; XHTML; Semantic analytics","score_opus":0.05230494765488239,"score_gpt":0.272200526410052,"score_spread":0.2198955787551696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499147215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029460562,0.00009385549,0.986405,0.00038199787,0.00006566901,0.00015979065,0.000116236646,0.0020525148,0.0077787717],"genre_scores_gemma":[0.08976975,0.00053866307,0.8998119,0.00033527784,0.00007374811,0.0005840341,0.0011652706,0.0007488141,0.0069726035],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9920482,0.0027397475,0.00074789615,0.0013251776,0.0027547628,0.00038419245],"domain_scores_gemma":[0.99286604,0.00265469,0.00042770876,0.0032289017,0.0006546331,0.00016797592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052403505,0.0009943637,0.0008935662,0.0023992665,0.0010290899,0.006308706,0.0023836836,0.001669022,0.0038319791],"category_scores_gemma":[0.012129816,0.0009033362,0.0028546017,0.0019107588,0.003357777,0.008343263,0.006858417,0.003695942,0.0018368599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000868456,0.00023472589,0.0007341976,0.00023272647,0.0001639401,0.00077506586,0.0018852357,0.054130446,0.008250202,0.7699549,0.0050743627,0.15847743],"study_design_scores_gemma":[0.00006461074,0.000068050555,0.00021799284,0.00017217276,0.000113474016,0.0003869307,0.0004621442,0.18568584,0.015415503,0.683379,0.11396825,0.000066064385],"about_ca_topic_score_codex":0.0037961467,"about_ca_topic_score_gemma":0.0036411902,"teacher_disagreement_score":0.006308706,"about_ca_system_score_codex":0.0017064542,"about_ca_system_score_gemma":0.0031756775,"threshold_uncertainty_score":0.027713954},"labels":[],"label_agreement":null},{"id":"W2500211180","doi":"10.1017/cbo9780511794797.014","title":"Ontologies and Knowledge-Based Systems","year":2010,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ontology; Computer science; Data science; Epistemology; Artificial intelligence; Philosophy","score_opus":0.028005322101912394,"score_gpt":0.2061127620764375,"score_spread":0.1781074399745251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500211180","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035952893,0.22141933,0.1176058,0.038351033,0.0028079466,0.00013664286,0.0005536322,0.00058267906,0.61494756],"genre_scores_gemma":[0.40269828,0.21039152,0.13637815,0.0143189095,0.006156152,0.00079927815,0.0023625907,0.0005855518,0.22630954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974842,0.0008938145,0.00018950595,0.00031830146,0.00092700514,0.00018707303],"domain_scores_gemma":[0.9984432,0.00090255286,0.00008782671,0.00025696593,0.00021147079,0.00009796208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002162424,0.0010058662,0.000999136,0.0024757665,0.0026841585,0.010949787,0.0015919784,0.0037749112,0.011318465],"category_scores_gemma":[0.0042551444,0.0006141227,0.00057400356,0.005122086,0.011304482,0.01609687,0.004175531,0.0036894195,0.0033517121],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027920348,0.000005995362,0.000026872525,0.00009250342,0.000005878022,0.000030259296,0.00032838108,0.00040330781,0.00003402504,0.9763157,0.011229775,0.011524441],"study_design_scores_gemma":[0.0000027757885,0.0000022092645,0.000034348748,0.000096389136,0.0000030785484,0.0000345365,0.00014762714,0.00032466513,0.000032765834,0.83533937,0.16397777,0.00000443174],"about_ca_topic_score_codex":0.0071713394,"about_ca_topic_score_gemma":0.0050403755,"teacher_disagreement_score":0.011318465,"about_ca_system_score_codex":0.0053631766,"about_ca_system_score_gemma":0.003411498,"threshold_uncertainty_score":0.038912773},"labels":[],"label_agreement":null},{"id":"W2501175475","doi":"10.1007/978-0-387-34347-1","title":"Canadian Semantic Web","year":2006,"lang":"en","type":"book","venue":"Semantic web and beyond","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal; Université Laval","funders":"","keywords":"Semantic Web; World Wide Web; Social Semantic Web; Volume (thermodynamics); Computer science; Semantic Web Stack; Physics","score_opus":0.008892958183637823,"score_gpt":0.20891930011763923,"score_spread":0.2000263419340014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501175475","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045130812,0.008582262,0.005561791,0.0071854116,0.0019670022,0.00008287297,0.0047871806,0.00094533263,0.97043693],"genre_scores_gemma":[0.006818251,0.008885115,0.0060494505,0.0010744835,0.00018009756,0.00004627587,0.004163216,0.0004517443,0.97233135],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986099,0.000092730865,0.000045986955,0.00022536147,0.00086814724,0.00015784208],"domain_scores_gemma":[0.9983442,0.00011467791,0.00002872739,0.00017950991,0.0011380512,0.00019498238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011497648,0.0013906042,0.0009334637,0.005664408,0.006429452,0.008401287,0.0015841599,0.0018861495,0.121361725],"category_scores_gemma":[0.0030661733,0.00082600454,0.00061938073,0.00981419,0.002364498,0.0062781638,0.0022845687,0.002546448,0.047860306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013416989,0.000009294598,0.00008244424,0.00007392255,0.0000033997949,0.00004145608,0.000101444224,0.0002215625,0.000107671636,0.09368414,0.8445033,0.061157916],"study_design_scores_gemma":[0.0000017516746,9.386667e-7,0.00010416425,0.000049990278,0.0000022940394,0.00001920206,0.000053413838,0.00012648186,0.00007575393,0.0062727397,0.9932876,0.0000055753535],"about_ca_topic_score_codex":0.8396913,"about_ca_topic_score_gemma":0.90386397,"teacher_disagreement_score":0.16030872,"about_ca_system_score_codex":0.031218,"about_ca_system_score_gemma":0.04205694,"threshold_uncertainty_score":0.40599543},"labels":[],"label_agreement":null},{"id":"W2507229908","doi":"10.29173/cais152","title":"A Multi-Agent Distributed Retrieval System","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Information retrieval; Computer science; Mars Exploration Program; Data retrieval; Human–computer information retrieval; Vector space model; Test (biology); Data mining; Search engine","score_opus":0.026895309824613658,"score_gpt":0.2395140506547364,"score_spread":0.21261874083012275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507229908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028648632,0.0013092773,0.8845098,0.0022783158,0.00052243413,0.0013135188,0.0009809802,0.030310879,0.050126087],"genre_scores_gemma":[0.40278664,0.0011611352,0.53198713,0.0010172719,0.0003516741,0.0012520548,0.0022903162,0.0006382782,0.05851545],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989219,0.00025597573,0.00013501238,0.0002831829,0.00031665326,0.000087381624],"domain_scores_gemma":[0.99898225,0.00019644324,0.000078840276,0.00025967057,0.0002847073,0.00019808368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014665332,0.0006060139,0.00096709,0.001263028,0.001854795,0.0037103768,0.0023753038,0.0019232524,0.0114927385],"category_scores_gemma":[0.0024130899,0.00044429884,0.0006038725,0.0013826572,0.0006132819,0.0032159109,0.00282645,0.0009923007,0.0076601277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016436757,0.001545434,0.0033498572,0.0012758449,0.00045622463,0.0022511552,0.0012096298,0.12241472,0.07841489,0.13838868,0.09001171,0.5590382],"study_design_scores_gemma":[0.00064665946,0.0004790008,0.0011270093,0.00010533166,0.00025009527,0.0008078997,0.0002998384,0.6737814,0.017292108,0.045490064,0.2595631,0.00015752386],"about_ca_topic_score_codex":0.0035097317,"about_ca_topic_score_gemma":0.0024173982,"teacher_disagreement_score":0.0114927385,"about_ca_system_score_codex":0.0010896537,"about_ca_system_score_gemma":0.0020644895,"threshold_uncertainty_score":0.038447022},"labels":[],"label_agreement":null},{"id":"W2508483905","doi":"","title":"Le Dublin Core, un exemple de métadonnées.","year":2000,"lang":"fr","type":"article","venue":"NPARC","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.040357412493547525,"score_gpt":0.2614039898888747,"score_spread":0.22104657739532718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508483905","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006513919,0.011858306,0.8014781,0.010576604,0.0020321629,0.00038666878,0.008469562,0.008966234,0.14971839],"genre_scores_gemma":[0.07560847,0.014450762,0.7419742,0.0054565715,0.0010827509,0.0008450071,0.02833969,0.004893017,0.12734951],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9928341,0.0017954076,0.0007566229,0.00080453034,0.003489377,0.0003199935],"domain_scores_gemma":[0.9943093,0.0015915349,0.00034501255,0.0019256987,0.001547014,0.00028130034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060003554,0.00091749703,0.00074737926,0.0057371454,0.0017779616,0.008202107,0.0017275194,0.0025754378,0.008316403],"category_scores_gemma":[0.011835552,0.0009926879,0.0011366025,0.0063180067,0.002513921,0.017816525,0.003881153,0.0037393314,0.007191054],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014004407,0.00006898639,0.0006440258,0.00065027026,0.00006774233,0.00035313872,0.0009297607,0.0011151937,0.004496872,0.7261208,0.095757075,0.16965607],"study_design_scores_gemma":[0.000028457229,0.000025116218,0.00038056727,0.0004578913,0.000022284099,0.00071913516,0.00032937096,0.0025132631,0.0044582635,0.13204724,0.85896045,0.000057835627],"about_ca_topic_score_codex":0.013426032,"about_ca_topic_score_gemma":0.013890142,"teacher_disagreement_score":0.013426032,"about_ca_system_score_codex":0.0033914624,"about_ca_system_score_gemma":0.0044744783,"threshold_uncertainty_score":0.031733274},"labels":[],"label_agreement":null},{"id":"W2510005225","doi":"10.29173/cais244","title":"Development of A Thesaurus-enhanced Visual Interface for Multilingual Digital Libraries","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thesaurus; Interface (matter); Context (archaeology); Computer science; Space (punctuation); Information retrieval; World Wide Web; Human–computer interaction; Geography; Artificial intelligence","score_opus":0.036797052941646445,"score_gpt":0.2744622802791915,"score_spread":0.23766522733754505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510005225","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015390624,0.00030210696,0.96423197,0.00023813991,0.00010599563,0.0004266278,0.0002432197,0.0107623795,0.008298947],"genre_scores_gemma":[0.058579296,0.00037304114,0.92747295,0.00019247102,0.000037041693,0.00047835975,0.000721786,0.0017868864,0.010358224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902236,0.00029039744,0.00012036254,0.0001491167,0.00036494547,0.000052796757],"domain_scores_gemma":[0.9977233,0.00096573844,0.000087757275,0.00026186166,0.00078908587,0.000172338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023264682,0.0006778958,0.00059669575,0.0014193206,0.0003896661,0.0026508463,0.0015813179,0.0011981718,0.010198589],"category_scores_gemma":[0.007112328,0.0005233101,0.00095700903,0.00066218385,0.00045067005,0.0031767737,0.0022710531,0.0010669744,0.004090198],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091414666,0.00044483278,0.0017976384,0.001976599,0.00017638248,0.001750415,0.008053983,0.007613586,0.20448625,0.029927202,0.016186733,0.7266723],"study_design_scores_gemma":[0.00035280513,0.0010414082,0.0041760164,0.0011975707,0.00030707073,0.0038318702,0.0018989885,0.14299169,0.22014813,0.013320519,0.61030036,0.00043350604],"about_ca_topic_score_codex":0.0011520858,"about_ca_topic_score_gemma":0.0009352686,"teacher_disagreement_score":0.010198589,"about_ca_system_score_codex":0.00039162175,"about_ca_system_score_gemma":0.0009982602,"threshold_uncertainty_score":0.0341177},"labels":[],"label_agreement":null},{"id":"W2510534514","doi":"10.48550/arxiv.cs/0604002","title":"Complexity of Consistent Query Answering in Databases under Cardinality-Based and Incremental Repair Semantics","year":2006,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Cardinality (data modeling); Semantics (computer science); Database; Query optimization; Query language; Information retrieval; Database query; Distributed database; Programming language; Theoretical computer science","score_opus":0.1625624011752694,"score_gpt":0.3144921771515217,"score_spread":0.15192977597625232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510534514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5554295,0.000937965,0.43115184,0.005443837,0.00005815712,0.00020448097,0.001480804,0.0007758721,0.004517466],"genre_scores_gemma":[0.91970813,0.00048091347,0.0760949,0.00024794205,0.00019814169,0.0002398928,0.0014961058,0.00017702019,0.0013571322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99047065,0.0028673816,0.0008877766,0.0020572278,0.002691193,0.001025667],"domain_scores_gemma":[0.91885203,0.06677161,0.0047189,0.0058674146,0.002401036,0.0013890195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008555701,0.0008867841,0.002165859,0.0017895594,0.0014678017,0.007853671,0.0036424897,0.002880359,0.0027161143],"category_scores_gemma":[0.04984013,0.0008212829,0.0021473803,0.00324199,0.0036210336,0.016804466,0.0041731563,0.0030983018,0.0002751765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021013117,0.00056436425,0.012187796,0.00069999753,0.0003675237,0.0004311182,0.0018878884,0.5589105,0.009840258,0.34419727,0.004162421,0.064649515],"study_design_scores_gemma":[0.00007647969,0.00007426336,0.0012448122,0.00001680172,0.00008112837,0.00014585641,0.00026602772,0.5737808,0.002106597,0.42161325,0.0005575093,0.00003651153],"about_ca_topic_score_codex":0.0042689275,"about_ca_topic_score_gemma":0.0029605448,"teacher_disagreement_score":0.008555701,"about_ca_system_score_codex":0.005070925,"about_ca_system_score_gemma":0.003494542,"threshold_uncertainty_score":0.045247376},"labels":[],"label_agreement":null},{"id":"W2512823216","doi":"","title":"A modular ontology framework based on semantic interfaces","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Ontology; Upper ontology; Process ontology; Ontology components; Ontology-based data integration; Modular design; Component (thermodynamics); Web Ontology Language; Suggested Upper Merged Ontology; Software engineering; Programming language; Information retrieval; Semantic Web","score_opus":0.0452930412124698,"score_gpt":0.25145426988430175,"score_spread":0.20616122867183195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512823216","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021218269,0.00034244728,0.98403305,0.00057235867,0.00011213577,0.00016181124,0.00018339815,0.0011460067,0.011327041],"genre_scores_gemma":[0.059339844,0.00088840537,0.93092066,0.00033837094,0.00013755148,0.00048239564,0.0009165425,0.00032304352,0.0066532297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99737215,0.00066036056,0.0003265554,0.00052864756,0.00085191167,0.00026030224],"domain_scores_gemma":[0.998481,0.00030646863,0.00017384393,0.00040581066,0.00044602368,0.00018685644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00480756,0.0008085588,0.0007180626,0.0028286022,0.0019572685,0.0051761493,0.0027139322,0.0017324266,0.0029465186],"category_scores_gemma":[0.0034434702,0.00076636253,0.00270807,0.0021683027,0.0034890682,0.010104171,0.0035781716,0.002760131,0.001200448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012594947,0.000018872324,0.00012211349,0.000061006074,0.000015418662,0.00009176928,0.00039851377,0.0041588014,0.0011556342,0.97274226,0.0022722173,0.018950894],"study_design_scores_gemma":[0.000040666273,0.00005916614,0.000300069,0.00021663427,0.000083289924,0.00040759478,0.00028663833,0.07032417,0.0023831497,0.66901606,0.25680763,0.00007482176],"about_ca_topic_score_codex":0.008057737,"about_ca_topic_score_gemma":0.0070247385,"teacher_disagreement_score":0.008057737,"about_ca_system_score_codex":0.0023232487,"about_ca_system_score_gemma":0.005835937,"threshold_uncertainty_score":0.025425136},"labels":[],"label_agreement":null},{"id":"W2517601353","doi":"10.1109/icdec.2016.7563143","title":"BubbleNet: An innovative exploratory search and summarization interface with applicability in health social media","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Automatic summarization; Computer science; Exploratory search; Information retrieval; Social media; World Wide Web; Interface (matter); Semantic search; Graph; Exploratory research; Search engine","score_opus":0.04351433390483602,"score_gpt":0.2998404350214005,"score_spread":0.2563261011165645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517601353","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16812702,0.0019557637,0.6764704,0.001522615,0.00030385779,0.0018746783,0.014019057,0.11600275,0.0197239],"genre_scores_gemma":[0.29392904,0.0010039571,0.6725005,0.00069822586,0.00015295086,0.0014561502,0.014946805,0.0042710826,0.011041282],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993437,0.00030342312,0.00005373704,0.00007935143,0.00018606614,0.000033691274],"domain_scores_gemma":[0.99228257,0.006404189,0.00019754226,0.0003151621,0.00059065677,0.00020992437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016049471,0.00089672353,0.0005699674,0.0023152032,0.00045531875,0.0015797729,0.00080879853,0.00087346556,0.012444155],"category_scores_gemma":[0.0069715455,0.00027748226,0.0003707068,0.0015164944,0.00041368822,0.003201806,0.0014827952,0.0004559659,0.0021691776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004918393,0.0007801839,0.007868963,0.0053431797,0.00027423215,0.0012200312,0.013619043,0.00942119,0.090735994,0.016995024,0.10914805,0.73967564],"study_design_scores_gemma":[0.0010832353,0.0031403245,0.01829209,0.0009047493,0.0005266411,0.0026801021,0.007940714,0.31647143,0.10321439,0.028511237,0.51666886,0.0005662519],"about_ca_topic_score_codex":0.0029680352,"about_ca_topic_score_gemma":0.004582659,"teacher_disagreement_score":0.012444155,"about_ca_system_score_codex":0.00039319682,"about_ca_system_score_gemma":0.00053580967,"threshold_uncertainty_score":0.04162991},"labels":[],"label_agreement":null},{"id":"W2518240069","doi":"","title":"Selecting Theories in an Ontology-Based ITS Authoring Environment","year":2004,"lang":"en","type":"article","venue":"R-libre (Université Téluq)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Ontology; Computer science; Information retrieval; World Wide Web; Human–computer interaction; Software engineering; Epistemology; Philosophy","score_opus":0.01517764968700001,"score_gpt":0.21114140215811614,"score_spread":0.19596375247111614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518240069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08659663,0.0002104576,0.8776736,0.0012071735,0.000111648435,0.00055468926,0.0013173874,0.0069291773,0.025399176],"genre_scores_gemma":[0.23047417,0.00022382202,0.7579153,0.00019142358,0.00006898435,0.00024740412,0.0022372683,0.0010206945,0.0076209954],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9932355,0.00293172,0.0005172272,0.00061367714,0.0022704129,0.00043149976],"domain_scores_gemma":[0.98506457,0.010466929,0.00041273405,0.0014008073,0.0018803349,0.0007744784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005272576,0.0007126297,0.0012430808,0.0047915163,0.0017897349,0.0065022116,0.00198357,0.0017143143,0.014601721],"category_scores_gemma":[0.016371872,0.00070663186,0.002087403,0.004180507,0.00122847,0.0067448937,0.0041030184,0.0013845202,0.0028348432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014834113,0.0012900883,0.014933921,0.0008008431,0.0002998048,0.003124434,0.004546914,0.06365028,0.02335174,0.29279336,0.030200612,0.5635246],"study_design_scores_gemma":[0.00037126575,0.00031585392,0.0016518198,0.00029027273,0.00043635815,0.0007398235,0.004181698,0.6186536,0.04568794,0.24076597,0.08677761,0.00012783796],"about_ca_topic_score_codex":0.002049958,"about_ca_topic_score_gemma":0.0054842425,"teacher_disagreement_score":0.014601721,"about_ca_system_score_codex":0.0011289599,"about_ca_system_score_gemma":0.0021566472,"threshold_uncertainty_score":0.048847556},"labels":[],"label_agreement":null},{"id":"W2519319518","doi":"","title":"An approach for model-driven data reengineering = Un enfoque de reingeniería de datos dirigido por modelos","year":2016,"lang":"es","type":"dissertation","venue":"TDR (Tesis Doctorales en Red)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Computer science; Philosophy","score_opus":0.057430285742863955,"score_gpt":0.327482198535607,"score_spread":0.27005191279274304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519319518","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022884163,0.00019455208,0.9927165,0.0006061979,0.00007935825,0.00012904636,0.00014333063,0.0015076628,0.0023349691],"genre_scores_gemma":[0.057260416,0.00058045326,0.9334074,0.00031710434,0.000054589334,0.00033547825,0.00053139916,0.0008491681,0.0066638975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99401724,0.0017787564,0.0004100252,0.00090577564,0.0025810578,0.0003070982],"domain_scores_gemma":[0.99006605,0.0029611585,0.000552384,0.0044136257,0.0017544349,0.00025235486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006909876,0.001312287,0.0011970818,0.0020584753,0.0012784572,0.0065260134,0.0044140345,0.0026357109,0.0060813716],"category_scores_gemma":[0.013999874,0.0016509623,0.0040260963,0.0020108474,0.0020322641,0.0061935415,0.006089063,0.004499516,0.0019567274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031533226,0.0004189385,0.003493104,0.0009955507,0.0003754062,0.00074138923,0.0032182557,0.14159173,0.0227312,0.52498806,0.010242251,0.2908889],"study_design_scores_gemma":[0.00010019704,0.00021239366,0.0005859452,0.00034595997,0.00018737259,0.0006250216,0.0005122538,0.59344816,0.025134051,0.24441375,0.13426785,0.00016697525],"about_ca_topic_score_codex":0.006804447,"about_ca_topic_score_gemma":0.008368356,"teacher_disagreement_score":0.006909876,"about_ca_system_score_codex":0.0021590567,"about_ca_system_score_gemma":0.00485307,"threshold_uncertainty_score":0.03654337},"labels":[],"label_agreement":null},{"id":"W2519679495","doi":"10.1145/2938503.2939573","title":"Web Data Management in the RDF Age","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SPARQL; Computer science; Linked data; RDF; Named graph; World Wide Web; Semantic Web; RDF Schema; RDF/XML; Data Web; RDF query language; Information retrieval; Web page; Web search query; Web query classification; Search engine","score_opus":0.07698804710486365,"score_gpt":0.2945301118283132,"score_spread":0.21754206472344953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519679495","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027517295,0.020532442,0.8845822,0.019744763,0.0022018717,0.00037112195,0.0027282902,0.0059521105,0.06113546],"genre_scores_gemma":[0.071722895,0.051300805,0.80765676,0.0136354845,0.0043108636,0.0008426805,0.013035116,0.0026337118,0.034861743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9927201,0.0022130813,0.0009971334,0.0008222755,0.0028627603,0.0003846285],"domain_scores_gemma":[0.99411494,0.0018737204,0.00035952317,0.002233594,0.0010460111,0.00037211942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008327356,0.0007527249,0.0012646429,0.004570973,0.001597501,0.010588808,0.00302235,0.0035235928,0.005060548],"category_scores_gemma":[0.0095456485,0.00094424834,0.0013345749,0.00866662,0.0037478947,0.025503095,0.00494608,0.005280858,0.0045355996],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042842905,0.00006500118,0.0003524015,0.0005166606,0.00007112609,0.00032916263,0.0007262842,0.0034005118,0.0023035284,0.7968268,0.04504114,0.15032475],"study_design_scores_gemma":[0.0000097220145,0.000012363437,0.00015233016,0.00038603484,0.00002001343,0.0002762534,0.0002913738,0.007126086,0.0015004647,0.33748955,0.6526994,0.00003641782],"about_ca_topic_score_codex":0.004396661,"about_ca_topic_score_gemma":0.002696448,"teacher_disagreement_score":0.010588808,"about_ca_system_score_codex":0.002512308,"about_ca_system_score_gemma":0.002712932,"threshold_uncertainty_score":0.044039786},"labels":[],"label_agreement":null},{"id":"W2521396000","doi":"","title":"The Nara Grid: An Evaluation Scheme Based on the Nara Document on Authenticity","year":2008,"lang":"en","type":"article","venue":"APT Bulletin","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scheme (mathematics); Grid; Database; Computer science; Geology; Mathematics; Geodesy","score_opus":0.04725663385238616,"score_gpt":0.26986786096196885,"score_spread":0.2226112271095827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521396000","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09623903,0.00050790206,0.70854574,0.006677017,0.0012877415,0.007176033,0.0076322244,0.02750573,0.14442854],"genre_scores_gemma":[0.5388372,0.00031840528,0.41827387,0.0006687884,0.00022030757,0.00274752,0.009623415,0.004477658,0.024832869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9343396,0.027897488,0.005205999,0.0029846241,0.027299067,0.0022732615],"domain_scores_gemma":[0.9257371,0.012460801,0.0030751904,0.022301592,0.031566497,0.004858915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.041153982,0.001038176,0.0017619904,0.008164037,0.00529294,0.010150864,0.0031064572,0.0023473664,0.012951969],"category_scores_gemma":[0.072997786,0.0006369365,0.0010136811,0.005354995,0.0038437068,0.014916695,0.010607231,0.0026729095,0.00626976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032207717,0.0016620477,0.021041714,0.0013613917,0.00022127343,0.00048719632,0.004173766,0.013690851,0.012219228,0.4531836,0.13489473,0.35384342],"study_design_scores_gemma":[0.00078140193,0.0014836283,0.01867676,0.0010459196,0.00032952413,0.0011264062,0.0073056417,0.2547472,0.04512146,0.25303894,0.41566613,0.0006770514],"about_ca_topic_score_codex":0.010233653,"about_ca_topic_score_gemma":0.0109623475,"teacher_disagreement_score":0.041153982,"about_ca_system_score_codex":0.006106886,"about_ca_system_score_gemma":0.008424254,"threshold_uncertainty_score":0.21764565},"labels":[],"label_agreement":null},{"id":"W2523183036","doi":"10.1007/978-3-319-46568-5_25","title":"Optimization of RDF Data Preprocessing for METIS Partitioning","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; RDF; Preprocessor; Computer science; Information retrieval; Data mining; Database; Artificial intelligence; Semantic Web","score_opus":0.057806791801911596,"score_gpt":0.3155291454404315,"score_spread":0.25772235363851986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523183036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06845282,0.0011853891,0.8804635,0.00085788715,0.00030063838,0.00087020895,0.0076776114,0.019731946,0.020460023],"genre_scores_gemma":[0.22621204,0.0004139087,0.74660987,0.00019126026,0.000064365464,0.00043207285,0.018656284,0.0019014995,0.005518707],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877614,0.00026284368,0.000095545576,0.00027837572,0.0004188103,0.0001682888],"domain_scores_gemma":[0.998351,0.00057885644,0.000082067134,0.0004319117,0.0005000101,0.00005616382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093683734,0.0011457687,0.0009647741,0.0023019714,0.0012003548,0.0026019276,0.0013129539,0.0005534817,0.007811563],"category_scores_gemma":[0.0043722703,0.00047141832,0.0014354802,0.0026882,0.0004577682,0.0023722155,0.0014487216,0.0009966608,0.0030894466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006264315,0.00027862276,0.004119146,0.0006477574,0.00016700148,0.00022084682,0.0003470659,0.091149814,0.038130116,0.020115998,0.044894967,0.7993022],"study_design_scores_gemma":[0.00008677611,0.000102069935,0.004319583,0.000107803935,0.0001201898,0.0002931729,0.0010664457,0.8572624,0.06491097,0.02872492,0.04295113,0.00005458358],"about_ca_topic_score_codex":0.011264008,"about_ca_topic_score_gemma":0.02131369,"teacher_disagreement_score":0.011264008,"about_ca_system_score_codex":0.0015160808,"about_ca_system_score_gemma":0.0028362412,"threshold_uncertainty_score":0.026132345},"labels":[],"label_agreement":null},{"id":"W2528271325","doi":"10.1007/978-3-319-46397-1_14","title":"On Referring Expressions in Information Systems Derived from Conceptual Modelling","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Schema (genetic algorithms); SQL; Conceptual schema; Uniqueness; Relational database; Relational model; Theoretical computer science; Information retrieval; Programming language; Mathematics; Linguistics","score_opus":0.03690231939860012,"score_gpt":0.24262370132855074,"score_spread":0.20572138192995063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528271325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058244327,0.003666237,0.94139934,0.0028386223,0.0005246253,0.00011170844,0.00026337433,0.00050314865,0.04486851],"genre_scores_gemma":[0.2805637,0.008954288,0.6782405,0.002175695,0.001411845,0.000677328,0.0024608013,0.0012855474,0.024230259],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947856,0.0025059804,0.00054846366,0.0005740802,0.0013018156,0.00028404032],"domain_scores_gemma":[0.99371535,0.004399654,0.00021457636,0.0010068051,0.00056912174,0.0000946031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005564392,0.0011761497,0.0016050311,0.0037683682,0.002423438,0.0068049696,0.0033152893,0.003387598,0.008034142],"category_scores_gemma":[0.016060261,0.0014020603,0.0033610652,0.00734184,0.006834877,0.020701027,0.0063570132,0.0067108553,0.0022399023],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006627431,0.000006225231,0.000031822598,0.000055561868,0.0000068574523,0.00009123167,0.00044539454,0.0013576534,0.00018646667,0.9892553,0.0012741548,0.00728264],"study_design_scores_gemma":[0.000004042902,0.000005481906,0.00004088899,0.00005765634,0.000017512279,0.0000628024,0.00009026502,0.0101425825,0.00027626022,0.9779442,0.011345431,0.000012885829],"about_ca_topic_score_codex":0.0042110747,"about_ca_topic_score_gemma":0.002535501,"teacher_disagreement_score":0.008034142,"about_ca_system_score_codex":0.00322875,"about_ca_system_score_gemma":0.0013280426,"threshold_uncertainty_score":0.029427648},"labels":[],"label_agreement":null},{"id":"W2528434611","doi":"10.1109/isc2.2016.7580847","title":"Expenditure, revenue and taxes — Towards a standard for representing city finance open data","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Publication; Computer science; Ontology; Open data; Revenue; Order (exchange); Theme (computing); Semantic Web; Finance; Data science; World Wide Web; Business","score_opus":0.14151057690261593,"score_gpt":0.36595771869329663,"score_spread":0.2244471417906807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528434611","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011182839,0.0010250099,0.92402005,0.004487843,0.001185982,0.0006202538,0.015351832,0.0038482435,0.038277905],"genre_scores_gemma":[0.10662558,0.0035517293,0.81707084,0.00183356,0.0004986645,0.0018468554,0.054394845,0.0019278097,0.012250113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9841875,0.003981747,0.0039016102,0.0015004796,0.005780163,0.00064845296],"domain_scores_gemma":[0.98559856,0.0027893747,0.002060254,0.004479742,0.0043496178,0.00072250544],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.014501801,0.0008469163,0.0010534037,0.009922416,0.0018065684,0.013032022,0.0024719904,0.0027289314,0.0022372792],"category_scores_gemma":[0.02223822,0.0008233994,0.0014424236,0.0139563605,0.0035404526,0.016182704,0.00564897,0.005366296,0.0026934787],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005438889,0.00011054289,0.0029075763,0.00042591413,0.00004992495,0.00012942264,0.0010706984,0.0047602756,0.0016015914,0.8912003,0.031099366,0.06659],"study_design_scores_gemma":[0.000026958734,0.000033031163,0.0037145002,0.00075976376,0.000046490157,0.00030534822,0.0011021513,0.013649664,0.0037125046,0.2472174,0.72932017,0.00011196615],"about_ca_topic_score_codex":0.013022819,"about_ca_topic_score_gemma":0.008267652,"teacher_disagreement_score":0.997528,"about_ca_system_score_codex":0.004720309,"about_ca_system_score_gemma":0.008886894,"threshold_uncertainty_score":0.07669371},"labels":[],"label_agreement":null},{"id":"W2528570251","doi":"10.3233/ao-160171","title":"Choosing ontologies for reuse","year":2016,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Reuse; Software engineering; Programming language; Information retrieval; Theoretical computer science","score_opus":0.02403654737145609,"score_gpt":0.25256941684606976,"score_spread":0.22853286947461368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528570251","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0690793,0.0025933732,0.82576245,0.012928637,0.00025251004,0.0006224416,0.00036861497,0.0005951082,0.08779754],"genre_scores_gemma":[0.3784645,0.0015838804,0.6114542,0.0011599736,0.00009131855,0.00045353256,0.0004947896,0.00042867567,0.0058691697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9617012,0.019749194,0.0037272968,0.002944512,0.010141756,0.0017361201],"domain_scores_gemma":[0.9726806,0.011872019,0.0017493386,0.007770969,0.0048014596,0.0011254741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026217287,0.000772874,0.0010144897,0.0056733047,0.004075344,0.009928799,0.0021538609,0.0027545295,0.0037877741],"category_scores_gemma":[0.04765702,0.0007969201,0.0018988395,0.004105767,0.0061210752,0.020101124,0.008208936,0.0025695383,0.0011919605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010205382,0.00008818723,0.0037911541,0.00039004066,0.0001445255,0.00035134857,0.0056302343,0.0035657175,0.0048069847,0.8315391,0.0059114094,0.14367917],"study_design_scores_gemma":[0.000031774754,0.00006750249,0.0016306966,0.0005348533,0.00010465934,0.000560895,0.006837018,0.009761305,0.0052543306,0.85854155,0.11658162,0.000093814066],"about_ca_topic_score_codex":0.0030872724,"about_ca_topic_score_gemma":0.004334948,"teacher_disagreement_score":0.026217287,"about_ca_system_score_codex":0.0035884874,"about_ca_system_score_gemma":0.00489026,"threshold_uncertainty_score":0.1386519},"labels":[],"label_agreement":null},{"id":"W2528953081","doi":"10.1007/978-3-319-46565-4_24","title":"An Automatic Workflow for the Formalization of Scholarly Articles’ Structural and Semantic Elements","year":2016,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; SPARQL; Information retrieval; Workflow; Linked data; Task (project management); Leverage (statistics); Knowledge base; Pipeline (software); Entity linking; RDF; Scalability; Semantic Web; World Wide Web; Natural language processing; Database; Artificial intelligence; Programming language","score_opus":0.04082705378113091,"score_gpt":0.3059914529439521,"score_spread":0.2651643991628212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528953081","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024076297,0.00020350996,0.95373213,0.00065705815,0.00020571396,0.0010756506,0.004171011,0.03375677,0.0037905173],"genre_scores_gemma":[0.018786995,0.00027007383,0.96170616,0.00021951825,0.00010151112,0.0006328902,0.010485496,0.0035558613,0.0042415345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98960084,0.0023328788,0.002574506,0.0017015616,0.0033042056,0.00048605836],"domain_scores_gemma":[0.970605,0.013011392,0.001608194,0.0057483134,0.007736931,0.0012901749],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.015407318,0.002327086,0.0018782779,0.013268642,0.0038044362,0.011883245,0.0034096243,0.002207163,0.017604925],"category_scores_gemma":[0.03165393,0.0024582655,0.0056086085,0.00692701,0.0024983506,0.009773792,0.008808278,0.0042894846,0.011136523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006917502,0.0007892753,0.005157964,0.0025537414,0.00038809588,0.0016148572,0.0054145576,0.010084296,0.031923924,0.23289438,0.08862912,0.6198581],"study_design_scores_gemma":[0.00033260757,0.00015291035,0.0025468585,0.0013239846,0.00037815692,0.0012238143,0.0019544666,0.12702958,0.07725377,0.28677896,0.5006306,0.0003942472],"about_ca_topic_score_codex":0.013093459,"about_ca_topic_score_gemma":0.01753162,"teacher_disagreement_score":0.98811674,"about_ca_system_score_codex":0.0034531595,"about_ca_system_score_gemma":0.012525909,"threshold_uncertainty_score":0.08148271},"labels":[],"label_agreement":null},{"id":"W2529420131","doi":"","title":"Ontologie de description et vocabulaire de métadonnées pour les scénarios pédagogiques /","year":2016,"lang":"fr","type":"article","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Philosophy","score_opus":0.036395563604050246,"score_gpt":0.2617772143880109,"score_spread":0.22538165078396064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529420131","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030832522,0.003958648,0.7766378,0.008195785,0.0006655734,0.002121001,0.020482905,0.006757727,0.15034796],"genre_scores_gemma":[0.23200083,0.005328809,0.63758224,0.0020400458,0.0001975466,0.0019961414,0.033927944,0.0025210527,0.084405415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99571407,0.0011774203,0.00065305893,0.0006215353,0.0015749336,0.00025908998],"domain_scores_gemma":[0.99452597,0.0011371773,0.00032741434,0.0012860151,0.002446161,0.0002772009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047509614,0.0013232537,0.0007185668,0.008294775,0.0034947612,0.009172647,0.0018719835,0.002222083,0.00911875],"category_scores_gemma":[0.0077598756,0.0009162269,0.0021236492,0.005237321,0.0029640251,0.0075132158,0.0026827075,0.0037685237,0.004076866],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012554337,0.00016970668,0.006306123,0.0014110693,0.00013744393,0.0015704734,0.0090422705,0.005816616,0.015692633,0.7463369,0.043652777,0.16973846],"study_design_scores_gemma":[0.00002475528,0.000036114307,0.0052218847,0.0014262781,0.000077338605,0.0010693497,0.0036210043,0.014274778,0.00623014,0.076494284,0.8914143,0.00010985785],"about_ca_topic_score_codex":0.27620354,"about_ca_topic_score_gemma":0.30112314,"teacher_disagreement_score":0.27620354,"about_ca_system_score_codex":0.011375843,"about_ca_system_score_gemma":0.019550852,"threshold_uncertainty_score":0.5491917},"labels":[],"label_agreement":null},{"id":"W2530564561","doi":"","title":"A New Look at Ontology Correctness","year":2015,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Correctness; Ontology; Computer science; Terminology; Upper ontology; Semantics (computer science); Process ontology; Suggested Upper Merged Ontology; Ontology-based data integration; Ontology components; Theoretical computer science; Programming language; Information retrieval; Semantic Web; Epistemology","score_opus":0.2482856625543623,"score_gpt":0.3670105023094892,"score_spread":0.11872483975512688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530564561","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028897544,0.007592091,0.8127651,0.08082979,0.0013316778,0.00009047216,0.00015886266,0.0007470655,0.06758734],"genre_scores_gemma":[0.6872614,0.006330345,0.28291038,0.00618008,0.0024378905,0.0001897953,0.0003410537,0.0012869196,0.013062106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97524124,0.0099193705,0.0016853298,0.0025428166,0.00911734,0.0014939898],"domain_scores_gemma":[0.93843746,0.035200942,0.0022818453,0.013569744,0.009198835,0.0013112046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028432384,0.0007908511,0.0018679589,0.003350968,0.003889199,0.012065726,0.0033749954,0.0047520595,0.0049221553],"category_scores_gemma":[0.055621397,0.0008912048,0.0024284685,0.0023171746,0.02663669,0.050656226,0.00975727,0.011414114,0.00079295953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015958696,0.000014376413,0.0003729995,0.000059516053,0.000014984103,0.000050282564,0.0005943877,0.0013369948,0.00022023052,0.9855428,0.0013786177,0.010398962],"study_design_scores_gemma":[0.000009073259,0.000017024973,0.00014672686,0.000064460924,0.000010357462,0.00009283701,0.00047807978,0.0051186346,0.0004997449,0.97573733,0.01780686,0.000018969435],"about_ca_topic_score_codex":0.003367611,"about_ca_topic_score_gemma":0.0023413384,"teacher_disagreement_score":0.028432384,"about_ca_system_score_codex":0.0049220994,"about_ca_system_score_gemma":0.0039018441,"threshold_uncertainty_score":0.1503666},"labels":[],"label_agreement":null},{"id":"W2531308116","doi":"","title":"Collaborative knowledge modeling between experts and novices: a strategy to support transfer of expertise in an organization","year":2004,"lang":"en","type":"article","venue":"R-libre (Université Téluq)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Typology; Knowledge management; Computer science; Knowledge transfer; Object (grammar); Artificial intelligence; Sociology","score_opus":0.02384356113452915,"score_gpt":0.25123071570216454,"score_spread":0.2273871545676354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531308116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1868496,0.00022420904,0.78216267,0.003664314,0.00008143394,0.00068627147,0.000073742085,0.0017426078,0.0245152],"genre_scores_gemma":[0.51502687,0.00013802115,0.47052532,0.00045843548,0.000035572295,0.0003295459,0.00028599708,0.00018944337,0.013010812],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9883321,0.0066260574,0.00060535164,0.001653827,0.0020934013,0.0006893111],"domain_scores_gemma":[0.96842796,0.012459408,0.0021293021,0.008068822,0.0033956359,0.005518998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016339898,0.00080472865,0.00056863064,0.0018368353,0.0046732402,0.005729725,0.0036990654,0.0024054663,0.003785999],"category_scores_gemma":[0.028616222,0.00064486667,0.00094442826,0.0010449099,0.002450693,0.011349016,0.011544761,0.0020993603,0.0011188675],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000791119,0.0030873395,0.03560628,0.00042201966,0.0001851284,0.0016245816,0.09530884,0.019152317,0.019764757,0.06438171,0.012815622,0.74686027],"study_design_scores_gemma":[0.0006494381,0.0027052003,0.017924715,0.0009497052,0.00042278974,0.0020327582,0.08209816,0.2574186,0.048181422,0.23576565,0.35110343,0.0007481078],"about_ca_topic_score_codex":0.011743903,"about_ca_topic_score_gemma":0.02094295,"teacher_disagreement_score":0.016339898,"about_ca_system_score_codex":0.003723003,"about_ca_system_score_gemma":0.009391028,"threshold_uncertainty_score":0.086414695},"labels":[],"label_agreement":null},{"id":"W2531537886","doi":"","title":"Semantic Web and Databases: Second International Workshop, SWDB 2004, Toronto, Canada, August 29-30, 2004, Revised Selected Papers (Lecture Notes in Computer Science)","year":2005,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; World Wide Web; Semantic Web; Database; Information retrieval","score_opus":0.011936887946879195,"score_gpt":0.2309698800981354,"score_spread":0.2190329921512562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531537886","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025438257,0.38207513,0.29947734,0.058941685,0.03295519,0.001203472,0.027344216,0.013752723,0.15881193],"genre_scores_gemma":[0.03347234,0.15505119,0.12031236,0.0039536897,0.0034349172,0.000401154,0.048258748,0.0033035672,0.6318121],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987118,0.00013180668,0.000085072716,0.00019943634,0.00070364063,0.00016819772],"domain_scores_gemma":[0.9979119,0.0002543401,0.000052225507,0.00021891492,0.0011478222,0.00041484318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037492157,0.002037949,0.002111997,0.0031128398,0.002553362,0.00869788,0.002464282,0.0016502597,0.024281044],"category_scores_gemma":[0.0028969834,0.0018737458,0.0010025324,0.008082904,0.0022712238,0.0079033235,0.002395035,0.0028996223,0.009686455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117247495,0.00007367754,0.0005664258,0.00042546095,0.00003239384,0.00010123824,0.00033296706,0.00070920604,0.0017079214,0.006804254,0.84899044,0.14013876],"study_design_scores_gemma":[0.000058376034,0.0000407194,0.0029622875,0.00036216705,0.00008663168,0.00035157913,0.00065283506,0.003520935,0.0029965173,0.008226768,0.98070097,0.000040284976],"about_ca_topic_score_codex":0.39057255,"about_ca_topic_score_gemma":0.5344857,"teacher_disagreement_score":0.39057255,"about_ca_system_score_codex":0.009842014,"about_ca_system_score_gemma":0.020759868,"threshold_uncertainty_score":0.77659833},"labels":[],"label_agreement":null},{"id":"W2537031468","doi":"","title":"Digital Scholarly Communication","year":2009,"lang":"en","type":"article","venue":"BCLA Browser: Linking the Library Landscape","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Scholarly communication; Computer science; Internet privacy; Political science; Law; Publishing","score_opus":0.012096190027585458,"score_gpt":0.20844598771612743,"score_spread":0.19634979768854197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537031468","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040765008,0.00084159785,0.00043240844,0.001603056,0.001092107,0.00002425509,0.0010149657,0.00041791084,0.9941659],"genre_scores_gemma":[0.0037985398,0.0013831431,0.00055170956,0.0006610713,0.00032316928,0.0000318113,0.0014079579,0.00026391252,0.9915787],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991015,0.0001262449,0.00005605947,0.00013137436,0.0005036473,0.00008109447],"domain_scores_gemma":[0.9980615,0.0003649775,0.00008141504,0.00061775866,0.00056830875,0.00030605696],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010581147,0.00048893975,0.00071843807,0.004843614,0.0025025608,0.015314585,0.0008436016,0.002047593,0.6951889],"category_scores_gemma":[0.005458951,0.0003719318,0.0004882854,0.0074433293,0.0014679807,0.005525527,0.0041836263,0.0019331815,0.48423404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031989835,0.00006522983,0.00038414175,0.00021314612,0.000007803939,0.000081604194,0.00033655053,0.000063656895,0.00050883065,0.05556067,0.6873717,0.2553748],"study_design_scores_gemma":[0.0000028656925,0.000004791956,0.00027348465,0.00009601148,0.000002251469,0.00003386665,0.00013292576,0.000030979896,0.00009860387,0.0040404284,0.99528056,0.0000032420967],"about_ca_topic_score_codex":0.00223042,"about_ca_topic_score_gemma":0.0039034586,"teacher_disagreement_score":0.9846854,"about_ca_system_score_codex":0.0016964637,"about_ca_system_score_gemma":0.0024890713,"threshold_uncertainty_score":0.43477607},"labels":[],"label_agreement":null},{"id":"W2537690138","doi":"10.1109/iecon.2002.1182866","title":"Emergent holarchies for e-health applications: a case in glaucoma diagnosis","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Domain (mathematical analysis); Medical services; Health care; Wireless; Service (business); Knowledge management; Telecommunications; Business","score_opus":0.034114689927411936,"score_gpt":0.32312626910601855,"score_spread":0.2890115791786066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537690138","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74760175,0.0036177381,0.08745435,0.0697551,0.0004036119,0.00045632623,0.00017424978,0.00049109326,0.090045825],"genre_scores_gemma":[0.97722214,0.0007496473,0.01676475,0.0011029679,0.00006257197,0.000058180383,0.00003104875,0.000025809783,0.0039829114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977277,0.0012579178,0.000108378954,0.000097213015,0.00047093505,0.00033799247],"domain_scores_gemma":[0.9919137,0.005984586,0.0004722097,0.0004771865,0.0003745967,0.0007777422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034503625,0.00030314215,0.00027982815,0.0010161308,0.003935891,0.003249895,0.0008058532,0.00491612,0.0031290492],"category_scores_gemma":[0.012575366,0.0002599462,0.00066226907,0.0009949091,0.0042081983,0.0038274203,0.0030035363,0.002312259,0.00034109404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057979755,0.00071378093,0.042498898,0.000398315,0.00005299382,0.27758685,0.058586314,0.0041602505,0.0041245874,0.47498965,0.016300723,0.12000786],"study_design_scores_gemma":[0.0005002934,0.00058147515,0.019496132,0.00060574344,0.00016897959,0.25344324,0.081926204,0.0651709,0.008102025,0.30098015,0.26884466,0.00018015622],"about_ca_topic_score_codex":0.006649646,"about_ca_topic_score_gemma":0.010090882,"teacher_disagreement_score":0.006649646,"about_ca_system_score_codex":0.0023446253,"about_ca_system_score_gemma":0.0017092761,"threshold_uncertainty_score":0.018247485},"labels":[],"label_agreement":null},{"id":"W2541482829","doi":"","title":"Happenings/L'Événement - CHNET-Works! A Networking Infrastructure for Community Health Nurse Researchers and Decision-Makers","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Nursing Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nursing; Psychology; Medicine","score_opus":0.13194488013370798,"score_gpt":0.42772237848817807,"score_spread":0.2957774983544701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541482829","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02669755,0.0019512051,0.1310703,0.029877888,0.007976994,0.00088346674,0.021177093,0.17706698,0.60329854],"genre_scores_gemma":[0.22458239,0.0028075397,0.11906801,0.0086334385,0.0028464699,0.0015520083,0.03868485,0.018981487,0.5828439],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993137,0.00025050607,0.000033973676,0.00007874498,0.00020308667,0.000120006625],"domain_scores_gemma":[0.99589694,0.0011122259,0.00018642283,0.0010193937,0.00050880585,0.0012762743],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0028241635,0.0005100398,0.00032199814,0.0013081857,0.0019913218,0.0030762572,0.0011584813,0.0014094556,0.102564186],"category_scores_gemma":[0.005875164,0.00043677926,0.0003656693,0.00090410426,0.0006627647,0.005668922,0.0038842515,0.0014924677,0.025466077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003188188,0.0001239565,0.002594589,0.00019858146,0.000022119892,0.00019748851,0.0010140261,0.0005778606,0.001993859,0.019166427,0.8006778,0.17311457],"study_design_scores_gemma":[0.000050264185,0.00004706997,0.002070912,0.000097502874,0.000015649679,0.00009900725,0.0008836619,0.0030401195,0.0011484112,0.005985811,0.9865242,0.000037386177],"about_ca_topic_score_codex":0.010930711,"about_ca_topic_score_gemma":0.015326656,"teacher_disagreement_score":0.9991488,"about_ca_system_score_codex":0.000851231,"about_ca_system_score_gemma":0.0015909881,"threshold_uncertainty_score":0.3431114},"labels":[],"label_agreement":null},{"id":"W2543529409","doi":"10.1101/082784","title":"Ontology-based workflow extraction from texts using word sense disambiguation","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Workflow; Ontology; Workflow technology; Domain (mathematical analysis); Natural language processing; Context (archaeology); Workflow engine; Workflow management system; Process (computing); Artificial intelligence; Information retrieval; Database; Programming language","score_opus":0.02819391908209911,"score_gpt":0.2549340156090356,"score_spread":0.2267400965269365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543529409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015342057,0.00053985015,0.97025853,0.00053265877,0.00019856113,0.00061056466,0.0027978371,0.0066061965,0.0031137147],"genre_scores_gemma":[0.058499373,0.0004259662,0.9323918,0.00011561848,0.000059985963,0.00036734052,0.006509879,0.00044939906,0.0011805084],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948965,0.0011384117,0.000902865,0.0015062344,0.0013467732,0.00020913],"domain_scores_gemma":[0.99389064,0.0028425327,0.000783639,0.0009578477,0.0013449076,0.00018051073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029591392,0.0015028621,0.0011728811,0.013624386,0.0018765205,0.0034777366,0.0015746767,0.0011965955,0.0039184997],"category_scores_gemma":[0.009653125,0.0006734199,0.002258754,0.0066001494,0.0015028258,0.004303979,0.0031667782,0.0015418762,0.0031733282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053728704,0.0004834345,0.0043269773,0.0027883735,0.00029853577,0.002540203,0.0035105515,0.01713732,0.067768,0.056784797,0.026774226,0.8170503],"study_design_scores_gemma":[0.0003258922,0.00016066062,0.00721846,0.0012385149,0.00045545344,0.0029885992,0.0038674758,0.38987574,0.16484204,0.2032965,0.22536689,0.00036378743],"about_ca_topic_score_codex":0.0032141674,"about_ca_topic_score_gemma":0.0035579975,"teacher_disagreement_score":0.013624386,"about_ca_system_score_codex":0.0011686917,"about_ca_system_score_gemma":0.0027715692,"threshold_uncertainty_score":0.015649557},"labels":[],"label_agreement":null},{"id":"W2548429475","doi":"10.14778/3007263.3007289","title":"Sapphire","year":2016,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; Computer science; RDF; Information retrieval; Linked data; RDF Schema; Cloud computing; Vocabulary; Database; Semantic Web","score_opus":0.010229025287030399,"score_gpt":0.19948959821345455,"score_spread":0.18926057292642415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548429475","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055854362,0.0029715756,0.10348954,0.0028510985,0.0018787627,0.00063000864,0.028229,0.15006927,0.70429534],"genre_scores_gemma":[0.05599687,0.005002071,0.11148386,0.0039624358,0.00067453686,0.0011290485,0.11005626,0.052146442,0.6595485],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976829,0.00028076585,0.000120102966,0.00061489077,0.0009940448,0.0003071834],"domain_scores_gemma":[0.99784005,0.00034987464,0.00007762829,0.00063646847,0.00079732656,0.00029859794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019240195,0.0018053091,0.0010997489,0.0022154842,0.0015959333,0.0058903955,0.0026999626,0.0021997446,0.34270936],"category_scores_gemma":[0.004031231,0.0010139004,0.0013254434,0.0025779966,0.0007937998,0.0056047346,0.0042882734,0.0027566429,0.26407373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005189589,0.00008665728,0.00066522113,0.0008612247,0.00003585891,0.0005330447,0.0005053964,0.0010349392,0.009787456,0.031424053,0.7700187,0.18452857],"study_design_scores_gemma":[0.00004276027,0.000037779522,0.0004138778,0.00009841087,0.000013204123,0.00038404632,0.00012905689,0.0017115548,0.003056978,0.005730203,0.9883442,0.00003798947],"about_ca_topic_score_codex":0.004742703,"about_ca_topic_score_gemma":0.004425864,"teacher_disagreement_score":0.34270936,"about_ca_system_score_codex":0.001455672,"about_ca_system_score_gemma":0.0024696235,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2551756190","doi":"10.5220/0006052100310042","title":"Verifying and Mapping the Mereotopology of Upper-Level Ontologies","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mereology; Ontology; Computer science; Axiom; Process ontology; Description logic; Representation (politics); Domain (mathematical analysis); Relation (database); Upper ontology; Theoretical computer science; Modular design; Ontology components; Ontology-based data integration; Ontology engineering; Ontology alignment; Formal ontology; Information retrieval; Data mining; Semantic Web; Mathematics; Programming language","score_opus":0.09691034528083108,"score_gpt":0.266407873357287,"score_spread":0.1694975280764559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551756190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10490811,0.000114294846,0.8850935,0.00063537504,0.00012874544,0.0001454053,0.00015728315,0.0004294952,0.008387711],"genre_scores_gemma":[0.73833716,0.00026321283,0.25800005,0.00036729433,0.000110124834,0.00017630757,0.00043746564,0.00014771945,0.0021607135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9931486,0.0021053494,0.000824331,0.0010717659,0.0023135236,0.0005364383],"domain_scores_gemma":[0.98624045,0.0053497986,0.0012305262,0.0045156726,0.0023583064,0.00030525954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058152657,0.00042154355,0.0007609711,0.0021797658,0.0018166553,0.0038638795,0.0015592567,0.001050591,0.0018325181],"category_scores_gemma":[0.020267999,0.00071189116,0.0023440653,0.0012042141,0.005991636,0.008414931,0.0047383565,0.0029710722,0.0003449367],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004584843,0.000043834825,0.0019547348,0.00009171763,0.000056268174,0.00036827565,0.001060274,0.0054707513,0.004096397,0.97498477,0.00035752333,0.011469588],"study_design_scores_gemma":[0.000023664328,0.00005188292,0.0013122217,0.000069290625,0.000098087505,0.00039393335,0.00060548825,0.05374828,0.012978285,0.9188522,0.011812339,0.000054281176],"about_ca_topic_score_codex":0.003390884,"about_ca_topic_score_gemma":0.0026051758,"teacher_disagreement_score":0.0058152657,"about_ca_system_score_codex":0.0016818525,"about_ca_system_score_gemma":0.0031869248,"threshold_uncertainty_score":0.030754447},"labels":[],"label_agreement":null},{"id":"W255242374","doi":"10.1007/978-3-319-11955-7_73","title":"Collaborative Semantic Management and Automated Analysis of Scientific Literature","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Metadata; Semantic Web; World Wide Web; Information overload; Knowledge base; Annotation; Scientific literature; Data science; Knowledge management; Information retrieval; Artificial intelligence","score_opus":0.008554570135625252,"score_gpt":0.24282788974279143,"score_spread":0.23427331960716619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W255242374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013007767,0.002492511,0.965175,0.0013045259,0.00022256542,0.00031068962,0.0013253113,0.006213721,0.009947791],"genre_scores_gemma":[0.081893474,0.0012230163,0.9041937,0.0001760867,0.00029126718,0.00030382487,0.0057160445,0.00076851243,0.0054341173],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9844372,0.0051812357,0.0017933403,0.003023037,0.00501132,0.0005538496],"domain_scores_gemma":[0.96274203,0.017822726,0.0021734252,0.011614053,0.0046801195,0.0009676355],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01208377,0.001332152,0.0020841586,0.023590488,0.0034660215,0.011387453,0.005327056,0.0022671074,0.0076048505],"category_scores_gemma":[0.04026795,0.0011830955,0.0036433118,0.01642568,0.0022577182,0.015127828,0.010722667,0.0023504852,0.0046524066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021569642,0.00036827812,0.0024429618,0.0007082112,0.00039637586,0.0002733438,0.0024940164,0.006250652,0.006750527,0.08954465,0.023552533,0.8670028],"study_design_scores_gemma":[0.00009963007,0.00011840563,0.0033214507,0.0004677579,0.00062308536,0.00077315536,0.002321096,0.17895111,0.029991338,0.6012616,0.18190813,0.00016322361],"about_ca_topic_score_codex":0.0034146039,"about_ca_topic_score_gemma":0.0054704105,"teacher_disagreement_score":0.98791623,"about_ca_system_score_codex":0.0020511886,"about_ca_system_score_gemma":0.0054255407,"threshold_uncertainty_score":0.063905835},"labels":[],"label_agreement":null},{"id":"W2552729503","doi":"10.1002/(sici)1099-0518(20000515)38:10<1724::aid-pola220>3.0.co;2-5","title":"Comments on ?Living Polymerization: Rationale for Uniform Terminology? by Darling et al.","year":2000,"lang":"en","type":"article","venue":"Journal of Polymer Science Part A Polymer Chemistry","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Terminology; Library science; Citation; Chemistry; Computer science; Philosophy; Linguistics","score_opus":0.018628050567976322,"score_gpt":0.2792476978198459,"score_spread":0.26061964725186954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552729503","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021790607,0.0012894234,0.00069570355,0.9157787,0.07934342,0.000024854618,0.00018708303,0.00008089367,0.002382051],"genre_scores_gemma":[0.003388383,0.0015387749,0.0007919978,0.93879,0.046783816,0.000089878,0.00019733289,0.00010448356,0.008315294],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9897517,0.002814147,0.0013668871,0.0013892164,0.003785462,0.00089254347],"domain_scores_gemma":[0.9297372,0.0410194,0.0025946537,0.0016927959,0.022902813,0.002053098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012645693,0.0010726888,0.0011002681,0.0019189342,0.0048910235,0.004734589,0.0042984593,0.026372785,0.011746991],"category_scores_gemma":[0.08236043,0.0006594713,0.001640429,0.0018282953,0.004462205,0.005626414,0.0038888184,0.024867304,0.011902202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020792146,0.000007788449,0.000069688176,0.00006578944,0.000006773688,0.00011611148,0.00019734564,0.000023909575,0.00008379682,0.0024480952,0.99494886,0.0020109424],"study_design_scores_gemma":[0.00003013796,0.000014102376,0.0006252919,0.00034704665,0.000030300302,0.00023333554,0.00060125074,0.00023114706,0.00067639945,0.0059818947,0.9911675,0.000061666],"about_ca_topic_score_codex":0.0147564085,"about_ca_topic_score_gemma":0.015281472,"teacher_disagreement_score":0.026372785,"about_ca_system_score_codex":0.0036327455,"about_ca_system_score_gemma":0.0047009643,"threshold_uncertainty_score":0.0668776},"labels":[],"label_agreement":null},{"id":"W2554862987","doi":"10.15273/pnsis.v43i2.3645","title":"A COMPARISON OF METHODS FOR MODIFYING THE PARTIAL SINGULAR VALUE DECOMPOSITION IN LATENT SEMANTIC INDEXING","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Nova Scotian Institute of Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Singular value decomposition; Folding (DSP implementation); Computer science; Matrix decomposition; Search engine indexing; Term (time); Matrix (chemical analysis); Latent semantic analysis; Data mining; Information retrieval; Algorithm; Physics; Chemistry","score_opus":0.06690077521573685,"score_gpt":0.3874650762103233,"score_spread":0.32056430099458644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554862987","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02352259,0.026004903,0.9366238,0.000624847,0.0009915592,0.0004184107,0.000621534,0.003045247,0.008147106],"genre_scores_gemma":[0.11913645,0.017963205,0.85309815,0.0003355303,0.0006292693,0.0005061312,0.0026945374,0.00077031116,0.004866372],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99432325,0.0016371048,0.0004759018,0.0006564936,0.0026846903,0.00022258858],"domain_scores_gemma":[0.9902159,0.00566932,0.0004204876,0.0015274251,0.00197901,0.00018790651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070640426,0.0016654878,0.001462312,0.0040664067,0.0008939089,0.0024229956,0.0019313626,0.001466934,0.00438448],"category_scores_gemma":[0.019405225,0.0005931872,0.0026445026,0.0053667463,0.0008251223,0.0046458947,0.0019500435,0.0021345082,0.0024367697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008808227,0.00026138104,0.0021369045,0.00071977783,0.00045591313,0.000060779836,0.0002178838,0.015237356,0.0044007483,0.0150745995,0.007269859,0.95328397],"study_design_scores_gemma":[0.00080221397,0.0013980503,0.016361894,0.0006498829,0.0007767398,0.0013735569,0.0006681362,0.84316534,0.019708019,0.04902933,0.06555028,0.0005165313],"about_ca_topic_score_codex":0.008170657,"about_ca_topic_score_gemma":0.008670787,"teacher_disagreement_score":0.008170657,"about_ca_system_score_codex":0.0010653132,"about_ca_system_score_gemma":0.0018412197,"threshold_uncertainty_score":0.0373587},"labels":[],"label_agreement":null},{"id":"W2555287220","doi":"10.29173/cais154","title":"Multilingual Access to Document Databases","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Document retrieval; Natural language; Query language; Natural language processing; Database; Artificial intelligence","score_opus":0.04345400386309771,"score_gpt":0.29603064903036747,"score_spread":0.25257664516726974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555287220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058623128,0.017490992,0.62066156,0.010596259,0.0010307203,0.00035999063,0.022666022,0.055656407,0.21291497],"genre_scores_gemma":[0.60273236,0.016126838,0.24397784,0.0029148022,0.0017951257,0.0003615521,0.054673407,0.005759111,0.07165906],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99706024,0.000913114,0.00039632784,0.0004711508,0.0008579082,0.00030128224],"domain_scores_gemma":[0.99251163,0.001648808,0.00035598868,0.0035348644,0.0014554309,0.00049325934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026265387,0.00045532527,0.0009169098,0.0054328847,0.0016268612,0.008521671,0.0016788418,0.0008195177,0.027700776],"category_scores_gemma":[0.01259951,0.0006113103,0.00060132705,0.00788936,0.00094930927,0.009585797,0.011513449,0.0012738081,0.012949909],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094447954,0.00022163859,0.0029727519,0.0013765292,0.0002444357,0.0012432128,0.0030123955,0.003983475,0.010777452,0.17584652,0.15662245,0.64275473],"study_design_scores_gemma":[0.00011738469,0.00006694446,0.0011658338,0.0003002816,0.00009943808,0.0009117494,0.0014482444,0.016498417,0.012179222,0.108897746,0.85823256,0.000082226645],"about_ca_topic_score_codex":0.0043775956,"about_ca_topic_score_gemma":0.0062636873,"teacher_disagreement_score":0.027700776,"about_ca_system_score_codex":0.0015336411,"about_ca_system_score_gemma":0.0016320702,"threshold_uncertainty_score":0.092668355},"labels":[],"label_agreement":null},{"id":"W2555428809","doi":"10.1007/978-3-319-42911-3_44","title":"On Partial Features in the $$\\mathcal{DLF}$$ Family of Description Logics","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Unary operation; Predicate (mathematical logic); Partial function; Computer science; Function (biology); Order (exchange); Discrete mathematics; Algorithm; Theoretical computer science; Mathematics; Programming language","score_opus":0.03425786817573451,"score_gpt":0.25595723607156,"score_spread":0.2216993678958255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555428809","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009350483,0.004819151,0.94412017,0.0027254962,0.00027058017,0.00009601663,0.00088478177,0.00086506293,0.03686834],"genre_scores_gemma":[0.2859268,0.0071399887,0.67077994,0.002380727,0.0005533781,0.00045896872,0.0040717963,0.0009997268,0.027688708],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99718225,0.0010117197,0.0002934878,0.00048305266,0.0007563355,0.00027313005],"domain_scores_gemma":[0.9974203,0.0014164206,0.00014224247,0.0005622092,0.00032892852,0.0001299579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044014566,0.0012109863,0.0015434686,0.0025908095,0.002386065,0.00635154,0.0029147577,0.0019223071,0.0071957256],"category_scores_gemma":[0.006722913,0.0015237704,0.0031724398,0.0043257847,0.0045795147,0.019233,0.0048062024,0.0060893777,0.0018197264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023666722,0.000016697624,0.00008400726,0.00007256292,0.0000151369395,0.00004939069,0.0001453284,0.001722778,0.0001859784,0.9691871,0.002395551,0.026101755],"study_design_scores_gemma":[0.000007364959,0.0000063116527,0.000041392374,0.00004610881,0.000011999649,0.000041850748,0.000030113304,0.0051785344,0.0001981651,0.9850525,0.009374029,0.000011597663],"about_ca_topic_score_codex":0.008984444,"about_ca_topic_score_gemma":0.009232428,"teacher_disagreement_score":0.008984444,"about_ca_system_score_codex":0.005077943,"about_ca_system_score_gemma":0.001736073,"threshold_uncertainty_score":0.03684324},"labels":[],"label_agreement":null},{"id":"W2556203306","doi":"10.1007/s40998-016-0011-3","title":"Semi-Automatic Rule Learning Method Enabling Information Extraction for Ontology Population","year":2016,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Semantics of Business Vocabulary and Business Rules; Ontology; Information extraction; Business rule; Ontology learning; Domain (mathematical analysis); Information retrieval; Artificial intelligence; Semantic Web; Upper ontology; Business process; Suggested Upper Merged Ontology; Engineering","score_opus":0.006942704471639155,"score_gpt":0.2482058464059338,"score_spread":0.24126314193429463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556203306","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012007206,0.00027121112,0.9795965,0.00013793538,0.000074455274,0.00028511183,0.0010054607,0.004883011,0.001739171],"genre_scores_gemma":[0.09509811,0.00023193963,0.89720714,0.00014688277,0.000050446,0.0003407847,0.0039645773,0.00019368564,0.0027663882],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733377,0.00038933367,0.00042737392,0.00074187276,0.0009803963,0.00012720448],"domain_scores_gemma":[0.99458003,0.0024714896,0.00030427525,0.0007023725,0.0018327165,0.000109209264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001969207,0.00083070697,0.0013320531,0.003694576,0.0010556877,0.002494889,0.0024415324,0.0010031707,0.00364064],"category_scores_gemma":[0.007733302,0.0005224474,0.0017439772,0.0025384016,0.0004580351,0.0019621854,0.001602288,0.001411291,0.0028031962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018752877,0.00035220225,0.0035466957,0.0004553372,0.00019846276,0.00059992034,0.0003326621,0.0084020365,0.028134918,0.0069443113,0.00950555,0.9413404],"study_design_scores_gemma":[0.0001127575,0.00023604883,0.005495383,0.00024748134,0.00044549676,0.0020348951,0.00056216936,0.8351657,0.08409504,0.03407654,0.037395377,0.00013312006],"about_ca_topic_score_codex":0.0032772229,"about_ca_topic_score_gemma":0.005752774,"teacher_disagreement_score":0.003694576,"about_ca_system_score_codex":0.00049651304,"about_ca_system_score_gemma":0.0026253175,"threshold_uncertainty_score":0.012179196},"labels":[],"label_agreement":null},{"id":"W25583635","doi":"10.1016/j.neuroscience.2014.12.046","title":"Bootstrapping the Semantic Web of Social Online Communities","year":2008,"lang":"en","type":"article","venue":"Neuroscience","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Bootstrapping (finance); Social Semantic Web; World Wide Web; Semantic Web; Interoperability; Social web; RDF; Data science; Data Web; Web standards; Information retrieval; Data mining; Web service; Social media; Mathematics","score_opus":0.08668823895719081,"score_gpt":0.2825818371686418,"score_spread":0.19589359821145103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W25583635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41359094,0.002562969,0.54521245,0.0058889,0.0003088196,0.0008385186,0.010317092,0.004376891,0.016903395],"genre_scores_gemma":[0.8621299,0.00069736515,0.12709849,0.00027705083,0.00014131978,0.00023730182,0.0071867383,0.00020506642,0.0020267915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99684924,0.0012688909,0.0002191154,0.00069986517,0.0007757344,0.00018707791],"domain_scores_gemma":[0.9884163,0.0071044816,0.00084259134,0.0020483865,0.0011487175,0.00043956155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034012448,0.0008548244,0.0012333121,0.0066333413,0.0015809353,0.0028913443,0.0014157676,0.001723878,0.0025306563],"category_scores_gemma":[0.022373766,0.000510569,0.0014271043,0.0052209897,0.0014903268,0.009392852,0.003264534,0.0012244642,0.0008124762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014320291,0.00095177564,0.047431167,0.0017063665,0.0010282756,0.0015423773,0.0030199187,0.21490541,0.007654303,0.22903877,0.02731581,0.46397373],"study_design_scores_gemma":[0.000056230117,0.00006134586,0.0039282646,0.00009614204,0.00008695978,0.0002139336,0.0005882366,0.7559645,0.0013757028,0.2278805,0.009707895,0.000040276132],"about_ca_topic_score_codex":0.012117915,"about_ca_topic_score_gemma":0.015703952,"teacher_disagreement_score":0.012117915,"about_ca_system_score_codex":0.0018812062,"about_ca_system_score_gemma":0.0015870549,"threshold_uncertainty_score":0.02409476},"labels":[],"label_agreement":null},{"id":"W2559856494","doi":"","title":"Knowledge Markup and Semantic Annotation Workshop Notes, 1st International Conference on Knowledge Capture, Oct 21-23, 2001, Victoria, BC, Canada","year":2001,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Annotation; Markup language; Computer science; Semantic annotation; Library science; World Wide Web; Semantic Web; Artificial intelligence; XML","score_opus":0.04039931160308268,"score_gpt":0.284768809080944,"score_spread":0.2443694974778613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559856494","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015721293,0.01257975,0.7599183,0.01830005,0.00512958,0.0012471549,0.011327133,0.0086805485,0.16709629],"genre_scores_gemma":[0.04829148,0.015772795,0.23989852,0.001423672,0.0007951741,0.00054765044,0.040841427,0.0037719868,0.6486573],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980525,0.0004454281,0.00017142968,0.0003493172,0.000706434,0.00027489438],"domain_scores_gemma":[0.9947796,0.0014968333,0.00009575079,0.0010429807,0.002094894,0.00049006037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057207756,0.0013954983,0.0014884094,0.004450811,0.0036897282,0.011210232,0.0030905805,0.001897208,0.058212634],"category_scores_gemma":[0.008178866,0.0018950801,0.0013196279,0.005385745,0.0029003944,0.009343965,0.004184785,0.0029255494,0.024151053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047446924,0.00041097714,0.0014375572,0.00045278724,0.00007300629,0.0003345624,0.0022677004,0.0025118303,0.0063151647,0.045120683,0.5509791,0.3896221],"study_design_scores_gemma":[0.000096783224,0.000084798936,0.0033713432,0.00040699024,0.00013984062,0.00036925016,0.002214443,0.018571796,0.021567984,0.04827028,0.90478915,0.00011733644],"about_ca_topic_score_codex":0.260723,"about_ca_topic_score_gemma":0.33844313,"teacher_disagreement_score":0.260723,"about_ca_system_score_codex":0.0067952275,"about_ca_system_score_gemma":0.012337222,"threshold_uncertainty_score":0.5184108},"labels":[],"label_agreement":null},{"id":"W2560055968","doi":"","title":"Learning By Example : Designing and Developing Linked Data Application","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Instructional design; Data science; Mathematics education; Multimedia; Human–computer interaction; Knowledge management; Psychology","score_opus":0.06982762116796969,"score_gpt":0.2763799943291534,"score_spread":0.2065523731611837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560055968","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039926104,0.00014540058,0.93135405,0.0016317673,0.00006348931,0.00075146806,0.00012106562,0.002670674,0.023336044],"genre_scores_gemma":[0.108299956,0.00019505102,0.8863222,0.00025454783,0.000016247968,0.00033838573,0.00022666331,0.00033708158,0.0040099486],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958688,0.0024607293,0.00024156361,0.0005292351,0.0007157307,0.0001839311],"domain_scores_gemma":[0.99415827,0.003885546,0.00023990498,0.0007463894,0.0007113962,0.00025853104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053193,0.00075201475,0.00034348972,0.0011418076,0.0013626894,0.002907661,0.0016754208,0.0015627444,0.0034828119],"category_scores_gemma":[0.014971925,0.00048271625,0.0007820246,0.0009514195,0.0018023966,0.0054429574,0.0034265756,0.0011251989,0.0014450585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022392898,0.0009274152,0.0107421605,0.0016935309,0.00016972715,0.0034852677,0.05152677,0.051048707,0.03478151,0.21290742,0.018857948,0.6136357],"study_design_scores_gemma":[0.00014834001,0.0008208689,0.0027656413,0.0010222788,0.00023489216,0.0025478743,0.015443681,0.17384195,0.0966433,0.18619011,0.52015966,0.00018138133],"about_ca_topic_score_codex":0.0010790465,"about_ca_topic_score_gemma":0.0016049806,"teacher_disagreement_score":0.0053193,"about_ca_system_score_codex":0.0007468965,"about_ca_system_score_gemma":0.0016283898,"threshold_uncertainty_score":0.028131485},"labels":[],"label_agreement":null},{"id":"W2560100475","doi":"10.1017/s0269888916000217","title":"Storing massive Resource Description Framework (RDF) data: a survey","year":2016,"lang":"en","type":"article","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"RDF; RDF/XML; Computer science; RDF Schema; Simple Knowledge Organization System; Cwm; SPARQL; Linked data; RDF query language; NoSQL; Database; Semantic Web; Information retrieval; World Wide Web; Scalability; Web search query","score_opus":0.09351567540660552,"score_gpt":0.3017580043145725,"score_spread":0.20824232890796698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560100475","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01954016,0.6573654,0.25677255,0.011694438,0.0011390618,0.0003669473,0.0050487337,0.0034911027,0.044581633],"genre_scores_gemma":[0.078034654,0.75431955,0.14434491,0.0021299326,0.0009508743,0.00024503146,0.01405905,0.0007580987,0.005157933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996711,0.00052625174,0.00044408743,0.00045372272,0.0016914337,0.00017339698],"domain_scores_gemma":[0.9935027,0.003425574,0.00043605603,0.0009497247,0.0015294756,0.00015646407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057199486,0.00061718654,0.0010700969,0.00957374,0.00072636013,0.003299779,0.0030396394,0.0012461607,0.002145155],"category_scores_gemma":[0.007523858,0.00067008194,0.00094495073,0.016385462,0.0011539157,0.010212862,0.0025399183,0.0012536568,0.0013351929],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000706893,0.000092940696,0.0030056708,0.004813774,0.000106478714,0.00032559808,0.00048978516,0.005215955,0.0023305768,0.079637416,0.0485132,0.8553979],"study_design_scores_gemma":[0.000010723436,0.000033194083,0.0015101471,0.0031864985,0.00007217513,0.00086030905,0.0009169661,0.01104281,0.0049586133,0.037426073,0.9399043,0.00007821084],"about_ca_topic_score_codex":0.005484822,"about_ca_topic_score_gemma":0.0025374335,"teacher_disagreement_score":0.00957374,"about_ca_system_score_codex":0.0013623545,"about_ca_system_score_gemma":0.0022177706,"threshold_uncertainty_score":0.03025031},"labels":[],"label_agreement":null},{"id":"W256170931","doi":"","title":"Ein ganzheitlicher Ansatz zur Digitalisierung und Extraktion von Metadaten in Videoarchiven","year":2013,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Gynecology; Art; Medicine","score_opus":0.019027027147951212,"score_gpt":0.24226887197666747,"score_spread":0.22324184482871626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W256170931","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019483794,0.002550624,0.9558984,0.0020017847,0.0004907905,0.00020006136,0.0008127634,0.0032934314,0.015268271],"genre_scores_gemma":[0.16421218,0.0043757404,0.8143454,0.000644935,0.00016871131,0.0002707984,0.0020573572,0.0011004051,0.012824419],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970693,0.0008964239,0.00026459878,0.00052253646,0.0010583095,0.0001888519],"domain_scores_gemma":[0.99292713,0.0021693828,0.00030351477,0.0029180697,0.0013904407,0.0002914764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00507474,0.0010263812,0.0007560199,0.0030378397,0.001229318,0.007591206,0.002365541,0.002091782,0.0060969037],"category_scores_gemma":[0.012216824,0.00092073943,0.0019224351,0.0032409008,0.001761395,0.008683777,0.0039259233,0.003806734,0.002509615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006355585,0.0002627729,0.0031875235,0.0013740665,0.00020689031,0.00062344316,0.002679702,0.016239975,0.046334606,0.2127337,0.010164816,0.7055569],"study_design_scores_gemma":[0.00023202998,0.00039364374,0.004133247,0.0013672143,0.00035360848,0.0013904226,0.0028169435,0.13746464,0.12568772,0.20386337,0.52198917,0.00030804035],"about_ca_topic_score_codex":0.0054930453,"about_ca_topic_score_gemma":0.008985272,"teacher_disagreement_score":0.007591206,"about_ca_system_score_codex":0.0020938523,"about_ca_system_score_gemma":0.0029069409,"threshold_uncertainty_score":0.026838124},"labels":[],"label_agreement":null},{"id":"W2565002155","doi":"","title":"Semantic Matchmaking for Job Recruitment: An Ontology-Based Hybrid Approach","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Information retrieval; Rank (graph theory); Seekers; Similarity (geometry); Artificial intelligence; Semantic similarity; Natural language processing; Machine learning; Image (mathematics); Mathematics","score_opus":0.09532668497139611,"score_gpt":0.32344475770599207,"score_spread":0.22811807273459594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565002155","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008103611,0.00028764526,0.9811049,0.0008957318,0.00008614484,0.0002779888,0.0002524425,0.0007501519,0.008241393],"genre_scores_gemma":[0.14890997,0.00047798044,0.8461184,0.00033370766,0.000062239626,0.00027516592,0.0007257297,0.00010342268,0.0029933925],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9943963,0.0019073915,0.00059305073,0.00066012423,0.0021720387,0.0002711313],"domain_scores_gemma":[0.9970145,0.0013301324,0.00024117177,0.0005981601,0.0006461833,0.00016987999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052484223,0.0006054475,0.00092838664,0.0058270823,0.0022861029,0.0047931923,0.0032328914,0.0019238291,0.0026044906],"category_scores_gemma":[0.007514944,0.0005566754,0.0023663694,0.005223631,0.0018361353,0.0070612207,0.0034471077,0.001336621,0.0011330891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002597464,0.0008737145,0.005263146,0.0010743825,0.00051766564,0.0010634526,0.0038454994,0.050144557,0.013044883,0.43502775,0.011593486,0.47729164],"study_design_scores_gemma":[0.00009297922,0.00012891738,0.0027449296,0.0003181336,0.0004167878,0.0010271932,0.0028339205,0.49662852,0.012782438,0.39311484,0.08972246,0.00018890237],"about_ca_topic_score_codex":0.007185238,"about_ca_topic_score_gemma":0.008930874,"teacher_disagreement_score":0.007185238,"about_ca_system_score_codex":0.002047894,"about_ca_system_score_gemma":0.0037364156,"threshold_uncertainty_score":0.027756691},"labels":[],"label_agreement":null},{"id":"W2566496332","doi":"","title":"Le rôle de l'ingénierie ontologique dans le domaine des EIAH","year":2004,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy; Sociology","score_opus":0.01892834268996641,"score_gpt":0.23188695659882527,"score_spread":0.21295861390885887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566496332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035704933,0.025794007,0.71292955,0.06511382,0.0018004494,0.00015019186,0.00034248034,0.0007802689,0.15738432],"genre_scores_gemma":[0.54592276,0.02162671,0.3658188,0.003776553,0.0015420757,0.00024879212,0.00061809336,0.00057920924,0.059867017],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99529994,0.0026987586,0.00030921068,0.0006140636,0.0008896257,0.00018844685],"domain_scores_gemma":[0.9913511,0.005062478,0.000368648,0.0017351385,0.0010702129,0.00041240398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008010285,0.0005137067,0.0005701619,0.0027128288,0.0035767744,0.011628181,0.0010577147,0.0028441509,0.0053830864],"category_scores_gemma":[0.011173547,0.0005982122,0.00092050433,0.0029225452,0.010597683,0.01910765,0.004956661,0.004484747,0.0012241785],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015808608,0.000013383236,0.0006542666,0.00013782154,0.000012003557,0.0001469636,0.0030288375,0.00057010475,0.000696266,0.9556378,0.0026933604,0.036393408],"study_design_scores_gemma":[0.000011022047,0.000017265891,0.0017786198,0.0002803556,0.000027710032,0.00075913325,0.0033775622,0.0075758845,0.0018759732,0.6518517,0.33240408,0.000040612882],"about_ca_topic_score_codex":0.011172399,"about_ca_topic_score_gemma":0.007953965,"teacher_disagreement_score":0.011628181,"about_ca_system_score_codex":0.0041626217,"about_ca_system_score_gemma":0.003957856,"threshold_uncertainty_score":0.04236293},"labels":[],"label_agreement":null},{"id":"W2571085349","doi":"10.29173/cais124","title":"Faceted Classification and Multi-Viewpoints Models: Differences and Complementarities","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Viewpoints; Library science; Humanities; Knowledge management; Computer science; Political science; Operations research; Engineering; Philosophy; Art","score_opus":0.10482079766718536,"score_gpt":0.27076269418906734,"score_spread":0.165941896521882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571085349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03406428,0.0016214136,0.9266121,0.003724492,0.000097714255,0.00020067052,0.00025146522,0.00022864179,0.03319921],"genre_scores_gemma":[0.58079916,0.0012830159,0.41082618,0.00028880782,0.00012727879,0.00039571317,0.0006487929,0.0001550948,0.0054758666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98352563,0.00883796,0.0008744466,0.001825402,0.004178736,0.0007578191],"domain_scores_gemma":[0.975027,0.01480472,0.0020175818,0.004687501,0.0025895867,0.00087365636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010137811,0.0008414761,0.0010855291,0.005134796,0.0018427137,0.011710447,0.0026845515,0.0019954408,0.0043661636],"category_scores_gemma":[0.027322225,0.00095907593,0.0023952639,0.0065842927,0.005589705,0.013943026,0.004208166,0.002676733,0.0009888997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006630692,0.000054484055,0.0055947946,0.00019192182,0.000096619464,0.00013754138,0.0053649927,0.011584434,0.0006743669,0.9037347,0.0011324236,0.07136729],"study_design_scores_gemma":[0.000020552827,0.00005400488,0.002680405,0.00024623144,0.00009057243,0.00027382476,0.0027203145,0.16685379,0.0005963648,0.8091214,0.017280985,0.0000614949],"about_ca_topic_score_codex":0.01549376,"about_ca_topic_score_gemma":0.013322948,"teacher_disagreement_score":0.01549376,"about_ca_system_score_codex":0.005771082,"about_ca_system_score_gemma":0.002961674,"threshold_uncertainty_score":0.053614497},"labels":[],"label_agreement":null},{"id":"W2572225987","doi":"","title":"Usage Data of an OpenAccess e-Journal in a Digital Repository.","year":2013,"lang":"en","type":"article","venue":"Elpub digital library","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Digital library","score_opus":0.027101275832665934,"score_gpt":0.24355287113544133,"score_spread":0.21645159530277538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572225987","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09476103,0.0036343962,0.0015703712,0.0015385281,0.0011416978,0.0003981023,0.7514729,0.0035461197,0.14193681],"genre_scores_gemma":[0.16629939,0.0035675296,0.0077940854,0.0012144856,0.0010180257,0.00083484704,0.742235,0.0017867606,0.07524997],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9930132,0.00084733556,0.0014987151,0.00067806843,0.0034690232,0.0004935989],"domain_scores_gemma":[0.89634293,0.035407525,0.013610442,0.008778683,0.038016465,0.007843963],"candidate_categories":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0037757829,0.0006241778,0.0006676812,0.024704207,0.001583446,0.0064673214,0.00076942163,0.0008761787,0.058059786],"category_scores_gemma":[0.03999574,0.0003059895,0.000579239,0.035116967,0.00061349676,0.005855185,0.0019140992,0.0013229664,0.07063005],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008706518,0.0005732992,0.12368116,0.0040450664,0.00013545708,0.00044496477,0.0018580386,0.0003223369,0.0023616208,0.004471244,0.6772911,0.18394502],"study_design_scores_gemma":[0.000046797057,0.00026692162,0.26659098,0.00090123597,0.000087321925,0.0010001875,0.002407704,0.0008122193,0.0023754234,0.0011603091,0.72422403,0.00012692137],"about_ca_topic_score_codex":0.0033245208,"about_ca_topic_score_gemma":0.0062694983,"teacher_disagreement_score":0.99353266,"about_ca_system_score_codex":0.0008768832,"about_ca_system_score_gemma":0.0018948105,"threshold_uncertainty_score":0.1942293},"labels":[],"label_agreement":null},{"id":"W2573468675","doi":"","title":"Translating Higher-Order Modal Logic from RuleML to TPTP","year":2016,"lang":"en","type":"article","venue":"Rules and Rule Markup Languages for the Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Modal logic; Modal; Programming language; Markup language; XHTML; World Wide Web; XML; Chemistry","score_opus":0.01628641948101522,"score_gpt":0.2593579399229917,"score_spread":0.2430715204419765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573468675","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059953164,0.00008476537,0.9724964,0.0006341886,0.00027768538,0.00019191534,0.0012389811,0.009022139,0.010058633],"genre_scores_gemma":[0.21676083,0.00039337584,0.76155114,0.001136571,0.00024221759,0.00038566906,0.0064401324,0.0031700155,0.009920049],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99625057,0.0009813256,0.0005446965,0.0005809819,0.0013086519,0.00033380344],"domain_scores_gemma":[0.9925096,0.0040307245,0.00029490184,0.0012466316,0.0017625557,0.00015558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031165516,0.00073152257,0.0006712641,0.0017680135,0.0008243906,0.005961283,0.0024760517,0.001363565,0.010139051],"category_scores_gemma":[0.011977812,0.00078698026,0.0024237717,0.0012603513,0.0018669703,0.004421918,0.0032135379,0.0034909507,0.004422248],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029230482,0.0004877184,0.0012249481,0.0009740103,0.0001713624,0.001687439,0.0020043976,0.0454406,0.016211612,0.67187244,0.030389532,0.2292437],"study_design_scores_gemma":[0.00010725884,0.00007459208,0.0004955972,0.00023886873,0.00018150933,0.0004137191,0.00048406154,0.21289852,0.05034843,0.65889597,0.07576132,0.000100203986],"about_ca_topic_score_codex":0.0083190035,"about_ca_topic_score_gemma":0.0072886427,"teacher_disagreement_score":0.010139051,"about_ca_system_score_codex":0.0015297877,"about_ca_system_score_gemma":0.0028809044,"threshold_uncertainty_score":0.0339185},"labels":[],"label_agreement":null},{"id":"W2573487579","doi":"","title":"Text Processing Chains: Getting Help from Typed Applicative Systems.","year":2016,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Programming language; Natural language processing","score_opus":0.07319901152962512,"score_gpt":0.3556524837275419,"score_spread":0.2824534721979168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573487579","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0107035395,0.002262835,0.9313922,0.0037209187,0.0006543843,0.00018413339,0.0017324724,0.025641866,0.023707697],"genre_scores_gemma":[0.10560233,0.0025777936,0.85108185,0.0008878207,0.0004920546,0.0002139762,0.004775784,0.0068232887,0.027545085],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99617815,0.0016054576,0.00038108128,0.000646215,0.0009737806,0.00021536618],"domain_scores_gemma":[0.9626503,0.024515832,0.0008457691,0.0064841397,0.004580363,0.00092349615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070650326,0.0014047895,0.0010649946,0.003024579,0.0018714311,0.006130173,0.0027296152,0.0029765917,0.03127967],"category_scores_gemma":[0.05132727,0.0012462854,0.001175561,0.0035762817,0.0018057947,0.020247534,0.005732217,0.003012263,0.021737963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007196328,0.0002667389,0.002192801,0.00094324414,0.00010086191,0.0006562744,0.003522541,0.005654321,0.0073794406,0.09752151,0.09084605,0.7901967],"study_design_scores_gemma":[0.00012031213,0.000107716034,0.000524617,0.0005572663,0.00019364015,0.0005659699,0.0022319134,0.09055719,0.027400542,0.5776407,0.2999892,0.000110889385],"about_ca_topic_score_codex":0.0025662428,"about_ca_topic_score_gemma":0.0041624713,"teacher_disagreement_score":0.03127967,"about_ca_system_score_codex":0.0007923609,"about_ca_system_score_gemma":0.0021631431,"threshold_uncertainty_score":0.10464084},"labels":[],"label_agreement":null},{"id":"W2573726090","doi":"10.1016/j.jlamp.2016.12.002","title":"Solving computational tasks on finite topologies by means of relation algebra and the RelView tool","year":2017,"lang":"en","type":"article","venue":"Journal of Logical and Algebraic Methods in Programming","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Network topology; Relation (database); Algebra over a field; Computer science; Algebraic number; Algebraic operation; Translation (biology); Simple (philosophy); Theoretical computer science; Mathematics; Pure mathematics","score_opus":0.05562391857438079,"score_gpt":0.36529623917404525,"score_spread":0.30967232059966443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573726090","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007142209,0.000105650724,0.9895935,0.00014305316,0.000019926978,0.00004710236,0.00009555149,0.00086534297,0.0019876768],"genre_scores_gemma":[0.10815976,0.00021230207,0.88933367,0.00006602155,0.00003798823,0.000166375,0.0004120278,0.00025995125,0.0013519016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972149,0.0011629821,0.00022361455,0.0005968101,0.0005986638,0.00020295044],"domain_scores_gemma":[0.99570626,0.003159223,0.00013306063,0.00068816706,0.00018192401,0.00013139636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002974041,0.0008808857,0.0017925764,0.0012282904,0.0013822563,0.0037633574,0.003308219,0.0010785434,0.008045093],"category_scores_gemma":[0.00848471,0.0010732495,0.0039882776,0.0016186929,0.00261036,0.010817867,0.0049027926,0.0032520446,0.001262817],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002629775,0.00026790838,0.0010149404,0.0007223607,0.0002453802,0.00030038558,0.00094112835,0.093829855,0.00373416,0.67988,0.0045413203,0.21425949],"study_design_scores_gemma":[0.000058601985,0.000044458237,0.00012291854,0.000053880627,0.000049917377,0.00010612907,0.00019283252,0.27868286,0.0023063025,0.71170616,0.0066471132,0.000028803004],"about_ca_topic_score_codex":0.0023408807,"about_ca_topic_score_gemma":0.00578361,"teacher_disagreement_score":0.008045093,"about_ca_system_score_codex":0.0008036033,"about_ca_system_score_gemma":0.0017173681,"threshold_uncertainty_score":0.026913583},"labels":[],"label_agreement":null},{"id":"W2573939812","doi":"","title":"Object-relational queries over CFDI ∀- nc knowledge bases: OBDA for the SQL-literate","year":2016,"lang":"en","type":"article","venue":"International Joint Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"SQL; Computer science; Relational database; Conjunctive query; Relational calculus; Object (grammar); Description logic; Ontology; Programming language; Encoding (memory); Data access; Relational model; Theoretical computer science; Information retrieval; Artificial intelligence","score_opus":0.15778310146096042,"score_gpt":0.3445189898753088,"score_spread":0.1867358884143484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573939812","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008040648,0.00029206084,0.98474956,0.00078307826,0.000050745304,0.00010354095,0.00041023124,0.001589649,0.003980453],"genre_scores_gemma":[0.17447944,0.00048212384,0.81907845,0.00053137756,0.00009515039,0.0001742998,0.0011007203,0.0003387666,0.0037196884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970908,0.0008418037,0.0003999755,0.0005879139,0.00079046737,0.00028904103],"domain_scores_gemma":[0.99492776,0.0021762243,0.00033958233,0.0017079856,0.0006083506,0.00024019832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040895124,0.0005753307,0.0008543211,0.0012547539,0.0011860535,0.007801802,0.0023366963,0.0010773513,0.0047653206],"category_scores_gemma":[0.011181448,0.00051560445,0.0016845865,0.0020823139,0.002231093,0.008164516,0.0041949986,0.002411677,0.001257798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015757466,0.00011303132,0.0012334101,0.00030340336,0.000048999376,0.0002880864,0.0009272621,0.013969885,0.003602253,0.87195045,0.0049566375,0.10244902],"study_design_scores_gemma":[0.000037677128,0.000057073517,0.00033724974,0.00019067463,0.00008651021,0.00040881115,0.00082816905,0.25752607,0.013543103,0.66897625,0.05794287,0.00006565044],"about_ca_topic_score_codex":0.0055508963,"about_ca_topic_score_gemma":0.006757566,"teacher_disagreement_score":0.007801802,"about_ca_system_score_codex":0.0024390751,"about_ca_system_score_gemma":0.0021505735,"threshold_uncertainty_score":0.021627724},"labels":[],"label_agreement":null},{"id":"W2574248734","doi":"10.3233/978-1-61499-716-0-207","title":"Comparing Information Structures Used in the Maritime Defence and Security Domain","year":2016,"lang":"en","type":"book-chapter","venue":"NATO science for peace and security series. D, Information and communication security","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Domain (mathematical analysis); Computer security; Maritime security; Information security; Computer science; Business; Political science; Mathematics; Law","score_opus":0.018772746521684716,"score_gpt":0.2581700084916436,"score_spread":0.23939726196995892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574248734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8576083,0.0035227938,0.08911654,0.0011690481,0.00009510172,0.000903768,0.017846562,0.0019163301,0.027821608],"genre_scores_gemma":[0.81515574,0.0014144115,0.15582687,0.00018930498,0.000014770353,0.00022539709,0.024839124,0.00027444155,0.0020599752],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99424237,0.0016696465,0.00084297516,0.00061504106,0.0023124882,0.00031749127],"domain_scores_gemma":[0.9743673,0.015630592,0.002503074,0.003138325,0.0040555657,0.00030500226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045986194,0.00032903912,0.00041609845,0.012988651,0.0013139885,0.0031213257,0.000883247,0.0007866289,0.0014947783],"category_scores_gemma":[0.029173296,0.00026284883,0.0007901916,0.018624777,0.0013865789,0.0038696076,0.0014303793,0.00062895723,0.0002986225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013762744,0.0004954587,0.24289745,0.003361523,0.0008984494,0.0013136836,0.019920724,0.03741928,0.029744582,0.199899,0.015375062,0.44729847],"study_design_scores_gemma":[0.00017446984,0.0009380888,0.40665647,0.001774917,0.0011946422,0.0024460484,0.032690067,0.15523657,0.064432,0.12611085,0.20800743,0.00033844126],"about_ca_topic_score_codex":0.042242844,"about_ca_topic_score_gemma":0.051648036,"teacher_disagreement_score":0.042242844,"about_ca_system_score_codex":0.0041703116,"about_ca_system_score_gemma":0.0036138732,"threshold_uncertainty_score":0.08399397},"labels":[],"label_agreement":null},{"id":"W2574898041","doi":"10.13140/rg.2.2.22508.36488","title":"OntoCASE4G-OWL: Towards a modeling software tool for G-OWL a visual syntax for RDF/RDFS/OWL2","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec; Université du Québec à Montréal","funders":"","keywords":"RDF Schema; Computer science; RDF; OWL-S; Web Ontology Language; Syntax; Semantic Web Rule Language; Semantic Web; Artificial intelligence; SPARQL; Semantic Web Stack; Semantic analytics","score_opus":0.04182034956068526,"score_gpt":0.30444196129894263,"score_spread":0.2626216117382574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574898041","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002940237,0.0000797625,0.9376495,0.0006682337,0.00019494693,0.00031337503,0.003333594,0.045739736,0.009080706],"genre_scores_gemma":[0.060985964,0.0005670842,0.8754444,0.0013667662,0.00010991175,0.00080118334,0.021834781,0.025742536,0.013147478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998135,0.00039836316,0.00023480665,0.00029091997,0.00072311057,0.00021792496],"domain_scores_gemma":[0.99759954,0.00084151985,0.0002088711,0.0007394553,0.00041499187,0.00019563347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032751176,0.0016728211,0.0010424227,0.0025263496,0.001567503,0.006454652,0.0036853796,0.0025054896,0.010964174],"category_scores_gemma":[0.008352535,0.0020586338,0.0032171798,0.002095905,0.0018208286,0.008621618,0.0061029536,0.0044071516,0.005003417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055541174,0.00064292504,0.0047487975,0.0019492399,0.00040248537,0.00274587,0.003555559,0.038274553,0.023711527,0.54675066,0.1703517,0.20631132],"study_design_scores_gemma":[0.000113732895,0.000045928675,0.00081129797,0.00035703412,0.00014259887,0.00067588437,0.00053114333,0.18459639,0.025788529,0.18895432,0.5978051,0.00017802486],"about_ca_topic_score_codex":0.016219344,"about_ca_topic_score_gemma":0.01448849,"teacher_disagreement_score":0.016219344,"about_ca_system_score_codex":0.0017176365,"about_ca_system_score_gemma":0.004632804,"threshold_uncertainty_score":0.03667885},"labels":[],"label_agreement":null},{"id":"W2574901545","doi":"10.3166/isi.21.2.123-146","title":"Conception et évaluation d’un langage orienté patient pour la représentation de protocoles de soins","year":2016,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Psychology; Political science; Medicine; Philosophy","score_opus":0.035869938156991084,"score_gpt":0.2948308437771796,"score_spread":0.25896090562018853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574901545","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033107143,0.0007513589,0.9434401,0.0018224926,0.00033195104,0.0024836864,0.001031717,0.010536427,0.006495079],"genre_scores_gemma":[0.19241315,0.0006684377,0.7929501,0.00046513783,0.00010878758,0.0018715635,0.0027436174,0.0013571086,0.007422048],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97644174,0.010991428,0.0029897625,0.0023007295,0.0066627357,0.0006136013],"domain_scores_gemma":[0.9470397,0.03170724,0.0027300227,0.0053890874,0.011954748,0.0011791218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031056684,0.0013308041,0.0010586855,0.0032205335,0.0013867842,0.010885967,0.0019529623,0.003040865,0.008496375],"category_scores_gemma":[0.063404545,0.0010752073,0.0016287527,0.0010643638,0.003157857,0.007757482,0.0021455276,0.003496997,0.0022078108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003585818,0.0014815648,0.013837181,0.004116557,0.0005684195,0.0010753812,0.013258364,0.05656841,0.05348464,0.35043696,0.021760518,0.47982618],"study_design_scores_gemma":[0.0009994722,0.002566747,0.007312358,0.0030864782,0.00091377366,0.0014609353,0.0045001456,0.5258079,0.13747595,0.06030386,0.25507745,0.00049491244],"about_ca_topic_score_codex":0.014567353,"about_ca_topic_score_gemma":0.0070202337,"teacher_disagreement_score":0.031056684,"about_ca_system_score_codex":0.003572849,"about_ca_system_score_gemma":0.0077485167,"threshold_uncertainty_score":0.16424543},"labels":[],"label_agreement":null},{"id":"W2574906829","doi":"","title":"CAISL: Simplification Logic for Conditional Attribute Implications.","year":2016,"lang":"en","type":"article","venue":"Concept Lattices and their Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science","score_opus":0.03972981695629477,"score_gpt":0.28627034250706557,"score_spread":0.2465405255507708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2574906829","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046367897,0.0011202198,0.9415631,0.0017148803,0.00036884708,0.00027176208,0.0031591826,0.01025476,0.036910366],"genre_scores_gemma":[0.18133889,0.0016503122,0.7810872,0.0018997766,0.0005960561,0.000536082,0.008887818,0.0021007953,0.021903016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99678755,0.00083462853,0.0003082285,0.00044373266,0.0014061239,0.00021979498],"domain_scores_gemma":[0.99484694,0.0028934383,0.0002491952,0.00080702984,0.0010253558,0.00017809059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003124969,0.00088164734,0.0010835872,0.0033564493,0.00213411,0.0047983946,0.00409224,0.0013206563,0.021353707],"category_scores_gemma":[0.012223841,0.001098394,0.0021291077,0.0042348537,0.003124483,0.012463028,0.0055699833,0.005218806,0.0055309404],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014312456,0.00009066681,0.00036251542,0.00048491702,0.00007227265,0.00030832668,0.00035654986,0.0076477085,0.0014512861,0.8134782,0.051552024,0.12405246],"study_design_scores_gemma":[0.00005488422,0.000018016148,0.00014444753,0.00009642333,0.000054350385,0.0002650121,0.00014387313,0.03202139,0.00350474,0.90099835,0.06265544,0.000043114425],"about_ca_topic_score_codex":0.0052435105,"about_ca_topic_score_gemma":0.0077357683,"teacher_disagreement_score":0.021353707,"about_ca_system_score_codex":0.0023630823,"about_ca_system_score_gemma":0.0032319776,"threshold_uncertainty_score":0.07143521},"labels":[],"label_agreement":null},{"id":"W2576278206","doi":"10.3233/isu-160815","title":"Article processing charges: A new route to open access?","year":2016,"lang":"en","type":"article","venue":"Information Services & Use","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Business","score_opus":0.06499904878237503,"score_gpt":0.3430792061787358,"score_spread":0.2780801573963607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576278206","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047892937,0.004861357,0.0733208,0.60196865,0.018110953,0.00022138744,0.00031763304,0.0020219523,0.29438797],"genre_scores_gemma":[0.2969398,0.016866786,0.09217041,0.23371011,0.046382,0.00114694,0.0008688583,0.004016723,0.30789843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9539436,0.014835919,0.003011577,0.0032998591,0.0223441,0.0025649318],"domain_scores_gemma":[0.78004605,0.09682086,0.0136537235,0.052331556,0.03853618,0.018611617],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.046527874,0.00080357614,0.0011056298,0.003961367,0.0056786034,0.032122336,0.0046582394,0.016447412,0.06942755],"category_scores_gemma":[0.19766091,0.000896475,0.0016252765,0.0046428,0.02305077,0.05777901,0.012374358,0.016610771,0.023794401],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040245763,0.000039341223,0.00031946923,0.00015541085,0.000016159069,0.0000888626,0.0005208229,0.00015891662,0.00029242455,0.8427067,0.105800755,0.049860846],"study_design_scores_gemma":[0.000033954188,0.00004839025,0.00034077946,0.00032243482,0.0000139359,0.00029856942,0.0005879153,0.0005501109,0.0004362366,0.39781478,0.5994795,0.00007339275],"about_ca_topic_score_codex":0.0016309555,"about_ca_topic_score_gemma":0.0015816106,"teacher_disagreement_score":0.9953418,"about_ca_system_score_codex":0.0047992123,"about_ca_system_score_gemma":0.0171613,"threshold_uncertainty_score":0.24606586},"labels":[],"label_agreement":null},{"id":"W2576783425","doi":"","title":"Publishing OWL Ontologies with Presto.","year":2008,"lang":"en","type":"article","venue":"Research Publications (Maastricht University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Semantic Web; Web Ontology Language; OWL-S; Ontology; World Wide Web; RDF; Simple Knowledge Organization System; Semantic analytics; Semantic Web Stack; Information retrieval; Open Biomedical Ontologies; Social Semantic Web; Publishing; Description logic; Semantic Web Rule Language; Linked data; Programming language","score_opus":0.1697380097931056,"score_gpt":0.2971801211101776,"score_spread":0.127442111317072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576783425","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073220474,0.0009730573,0.7948528,0.0029787607,0.0012717606,0.000767863,0.004922079,0.018058727,0.16885287],"genre_scores_gemma":[0.1394169,0.002348539,0.69590026,0.0025010677,0.0007148646,0.00089493714,0.025961887,0.0047178003,0.12754376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99649376,0.0007565731,0.00035376876,0.00045133094,0.001687223,0.00025735554],"domain_scores_gemma":[0.9964342,0.00086438295,0.00019330547,0.0016789491,0.00070373656,0.00012554755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028050279,0.00063932,0.00055416103,0.0021632893,0.0015721957,0.0044537447,0.0012726063,0.0012822517,0.013723075],"category_scores_gemma":[0.008751426,0.0007247204,0.0009069351,0.001998442,0.001204412,0.0077544106,0.0035898362,0.0022465226,0.00674808],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017758437,0.00015800692,0.001253517,0.00045461117,0.00010314568,0.00075405516,0.0013172878,0.0037400632,0.005247898,0.5292772,0.113837816,0.34367892],"study_design_scores_gemma":[0.000042777625,0.000030183191,0.00045930585,0.00015608016,0.000055776214,0.00046243527,0.00035841274,0.01639322,0.012739359,0.1852848,0.78396547,0.0000521052],"about_ca_topic_score_codex":0.0059176013,"about_ca_topic_score_gemma":0.011557387,"teacher_disagreement_score":0.013723075,"about_ca_system_score_codex":0.0009882442,"about_ca_system_score_gemma":0.0030621383,"threshold_uncertainty_score":0.045908272},"labels":[],"label_agreement":null},{"id":"W2576847231","doi":"10.3166/ria.30.607-627","title":"Un langage et un serveur de transformation de graphes pour le Web de données","year":2016,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"SPARQL; Humanities; RDF; Semantic Web; Computer science; Artificial intelligence; Philosophy","score_opus":0.06570548867459107,"score_gpt":0.27360407155067723,"score_spread":0.20789858287608615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576847231","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017032862,0.00063578173,0.9644641,0.0018717379,0.00036911192,0.00014557611,0.00046749107,0.0064854072,0.008527911],"genre_scores_gemma":[0.2525139,0.0030601388,0.6725383,0.0010498032,0.0008686681,0.00065075286,0.0038504736,0.003767855,0.061700244],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947784,0.0018002192,0.00039678015,0.0008941481,0.0019287084,0.00020178243],"domain_scores_gemma":[0.99244326,0.0049330485,0.00024235924,0.0010489388,0.0010559339,0.0002763546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004283969,0.0018137738,0.0012979327,0.0027595193,0.0019975111,0.0070584593,0.0009434502,0.0034174481,0.011184168],"category_scores_gemma":[0.013036763,0.0014386319,0.0032937683,0.0018877642,0.004246881,0.0080290055,0.002142815,0.0053177057,0.0040475717],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009767241,0.0004531411,0.002172887,0.00082539546,0.00019773938,0.0018059801,0.0028745034,0.034814626,0.030284515,0.6831789,0.019542392,0.2228732],"study_design_scores_gemma":[0.0006503621,0.0005387487,0.003775796,0.00050380564,0.00027886944,0.0018835479,0.0014050878,0.34629977,0.051051483,0.33567995,0.25757587,0.00035678764],"about_ca_topic_score_codex":0.027091244,"about_ca_topic_score_gemma":0.013012275,"teacher_disagreement_score":0.027091244,"about_ca_system_score_codex":0.0028183025,"about_ca_system_score_gemma":0.0025910225,"threshold_uncertainty_score":0.0538671},"labels":[],"label_agreement":null},{"id":"W2577559092","doi":"10.29007/493z","title":"Modeling Organic Chemistry and Planning Organic Synthesis","year":2018,"lang":"en","type":"article","venue":"EPiC series in computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Benchmark (surveying); Set (abstract data type); Domain (mathematical analysis); Organic molecules; Artificial intelligence; Theoretical computer science; Chemistry; Programming language; Molecule; Mathematics; Organic chemistry","score_opus":0.02047545171841846,"score_gpt":0.2535248274359482,"score_spread":0.2330493757175297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577559092","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029063284,0.001682691,0.9016178,0.0024932371,0.00018673047,0.00025041736,0.0018038821,0.0017261751,0.061175797],"genre_scores_gemma":[0.3643856,0.003121116,0.613207,0.00032895504,0.00008363523,0.0007378738,0.001975622,0.00028863165,0.015871586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955887,0.00016379064,0.000028721855,0.00008024291,0.000113854956,0.000054429293],"domain_scores_gemma":[0.99936885,0.0003922645,0.00006304394,0.00008090449,0.00005834471,0.000036581245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064682035,0.00079955236,0.00042014243,0.00063175533,0.00066615996,0.0016478326,0.001541995,0.0012739811,0.004632943],"category_scores_gemma":[0.0019111943,0.0005268531,0.001079194,0.0010739026,0.0018296594,0.0017801159,0.0014062392,0.0011300471,0.0006406069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027762293,0.0000241111,0.00022472355,0.00014018198,0.000011734361,0.000085333595,0.00008224511,0.7634425,0.00058589556,0.22082862,0.001482074,0.013064796],"study_design_scores_gemma":[0.00004290827,0.00002397911,0.000109597895,0.000036894187,0.000014859476,0.00004525365,0.000069421665,0.7758993,0.0014935387,0.19307104,0.029178655,0.000014624331],"about_ca_topic_score_codex":0.019800965,"about_ca_topic_score_gemma":0.021956403,"teacher_disagreement_score":0.019800965,"about_ca_system_score_codex":0.0020547095,"about_ca_system_score_gemma":0.0028600092,"threshold_uncertainty_score":0.03937143},"labels":[],"label_agreement":null},{"id":"W2578388590","doi":"","title":"Facilitating and promoting web annotation with Argo","year":2016,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Open Text (Canada)","funders":"","keywords":"Argo; Annotation; World Wide Web; Computer science; Artificial intelligence; Geology; Climatology","score_opus":0.06392052377680564,"score_gpt":0.26783041052935636,"score_spread":0.20390988675255073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578388590","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02836409,0.00042401304,0.82070076,0.0037908012,0.0009094379,0.0005922743,0.0040682997,0.0527131,0.08843721],"genre_scores_gemma":[0.1595625,0.00069233426,0.7536611,0.0011026277,0.00042317028,0.0006035953,0.01342901,0.021788083,0.048737638],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99046385,0.0045103333,0.0006706611,0.0012049245,0.002696768,0.00045338407],"domain_scores_gemma":[0.96574056,0.01856409,0.0013849742,0.009391689,0.0037056624,0.0012130537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011910122,0.0012203633,0.0009800227,0.0065696347,0.0031948194,0.007025856,0.0017902394,0.001961262,0.016331034],"category_scores_gemma":[0.04113722,0.0011692245,0.0009543043,0.004309443,0.0017878738,0.013066444,0.010532937,0.0029634037,0.013710192],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016038975,0.00081525615,0.008102996,0.0022118783,0.00012809002,0.002576,0.022041934,0.0045577013,0.07585934,0.14498614,0.129957,0.60715973],"study_design_scores_gemma":[0.00008573691,0.000067648616,0.0036188322,0.00079471245,0.00009068577,0.00085745705,0.004562131,0.04640396,0.055615555,0.07809937,0.8095932,0.0002106841],"about_ca_topic_score_codex":0.002715936,"about_ca_topic_score_gemma":0.006703114,"teacher_disagreement_score":0.016331034,"about_ca_system_score_codex":0.0011263099,"about_ca_system_score_gemma":0.003128146,"threshold_uncertainty_score":0.06298751},"labels":[],"label_agreement":null},{"id":"W2578640677","doi":"10.3166/isi.21.3.31-52","title":"Une approche pour évaluer la complétude de données RDF","year":2016,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"RDF; Computer science; Information retrieval; Semantic Web","score_opus":0.037003343465784835,"score_gpt":0.2506589511414951,"score_spread":0.2136556076757103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578640677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016787294,0.00049161806,0.9609755,0.00070975523,0.000137638,0.00039020926,0.0012512301,0.016250031,0.0030067991],"genre_scores_gemma":[0.13909231,0.00040561115,0.8477804,0.0004379239,0.00009286737,0.00040250743,0.004392245,0.0016430677,0.0057531656],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97956413,0.0045163473,0.0015341922,0.0034438488,0.010241819,0.0006997474],"domain_scores_gemma":[0.97975975,0.009757654,0.00054572907,0.0038756912,0.005730496,0.00033076617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010439385,0.002474674,0.0019044906,0.0059858374,0.0015827586,0.008407724,0.0022911557,0.0034406504,0.008053892],"category_scores_gemma":[0.033679552,0.0015695189,0.0043218657,0.002692968,0.0016509381,0.0073596113,0.0037322452,0.0038419433,0.0024421655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010374134,0.0007427204,0.013585988,0.0013917803,0.0011948312,0.0007741764,0.0015364361,0.052269686,0.042187985,0.03940481,0.021015337,0.8248587],"study_design_scores_gemma":[0.0002505172,0.00032393125,0.0068245376,0.00072808185,0.0008865603,0.0011246477,0.0012997821,0.7713255,0.0829249,0.06834209,0.06572248,0.0002468121],"about_ca_topic_score_codex":0.014677103,"about_ca_topic_score_gemma":0.020287642,"teacher_disagreement_score":0.014677103,"about_ca_system_score_codex":0.002213596,"about_ca_system_score_gemma":0.0034701664,"threshold_uncertainty_score":0.0552094},"labels":[],"label_agreement":null},{"id":"W2578952121","doi":"10.3233/978-1-61499-660-6-9","title":"What Is Ontology Reuse?","year":2016,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Reuse; Information retrieval; Philosophy; Biology; Epistemology; Ecology","score_opus":0.047496960907196316,"score_gpt":0.2863149539926552,"score_spread":0.2388179930854589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578952121","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009378617,0.15190881,0.17938882,0.20871922,0.005670447,0.00011646958,0.00037326568,0.00049044547,0.44395387],"genre_scores_gemma":[0.48905143,0.26309747,0.080399476,0.044129133,0.011483839,0.0004492607,0.001258784,0.00097127206,0.10915943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9942654,0.0023370238,0.00039975395,0.0008046969,0.0017360173,0.00045707548],"domain_scores_gemma":[0.9931352,0.003504434,0.00038696217,0.0015918888,0.0010714111,0.0003100126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006384523,0.0006671192,0.0011167678,0.004287023,0.003158656,0.013052553,0.001576513,0.0038093643,0.0066508087],"category_scores_gemma":[0.014602079,0.00047951838,0.0010311916,0.006067147,0.018816553,0.035137586,0.005423354,0.0040922537,0.0026331777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053397393,0.000010433776,0.00021731149,0.00019277497,0.000019768207,0.00006451373,0.00181174,0.00019985277,0.00010044888,0.9190289,0.015164018,0.06318489],"study_design_scores_gemma":[0.0000019945926,0.000003036545,0.00016629964,0.00037207708,0.0000064242113,0.0001971532,0.0012084465,0.0003397782,0.00011505648,0.83085907,0.16672118,0.000009370689],"about_ca_topic_score_codex":0.0076238685,"about_ca_topic_score_gemma":0.00401611,"teacher_disagreement_score":0.013052553,"about_ca_system_score_codex":0.005170021,"about_ca_system_score_gemma":0.0048158965,"threshold_uncertainty_score":0.03751129},"labels":[],"label_agreement":null},{"id":"W2579485143","doi":"","title":"Query Planning for Evaluating SPARQL Property Paths.","year":2016,"lang":"en","type":"article","venue":"AMW","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"SPARQL; Computer science; Query optimization; RDF; Query plan; Property (philosophy); RDF query language; Query language; Plan (archaeology); Graph; Information retrieval; Sargable; Web query classification; Theoretical computer science; Database; Search engine; Web search query; Semantic Web","score_opus":0.11692841413509311,"score_gpt":0.34494227294052426,"score_spread":0.22801385880543115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579485143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029074242,0.00018217888,0.98545825,0.00031299223,0.000041371175,0.00028011366,0.00096810685,0.005970266,0.003879236],"genre_scores_gemma":[0.076168515,0.00028123983,0.9160595,0.00022813276,0.00004349964,0.0004461199,0.0031370681,0.0016096365,0.002026172],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99389815,0.0021773882,0.00048817953,0.0006308855,0.0025166094,0.00028882994],"domain_scores_gemma":[0.99351573,0.0036322353,0.00036377524,0.0013398678,0.0010256233,0.00012276214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00503207,0.0012030362,0.00070662104,0.0014429394,0.00084340386,0.0024083846,0.0017692157,0.00093474303,0.009040514],"category_scores_gemma":[0.015778791,0.00080409704,0.0018280369,0.0019511833,0.0013299977,0.004437387,0.0026074366,0.001995681,0.0019239107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046686083,0.00026751103,0.0034833995,0.0012875048,0.00027463792,0.00041412775,0.0008251314,0.1670753,0.012886531,0.30489507,0.05119774,0.45692617],"study_design_scores_gemma":[0.00007224536,0.00008211008,0.0005364513,0.00011530758,0.00007470926,0.00024563482,0.0003124627,0.7279319,0.01367592,0.20795433,0.04894574,0.000053195206],"about_ca_topic_score_codex":0.007915443,"about_ca_topic_score_gemma":0.013035102,"teacher_disagreement_score":0.009040514,"about_ca_system_score_codex":0.0017394397,"about_ca_system_score_gemma":0.0022801473,"threshold_uncertainty_score":0.030243516},"labels":[],"label_agreement":null},{"id":"W2581836848","doi":"","title":"Concept Mining: A Conceptual Understanding based Approach","year":2009,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Data science; Computer science","score_opus":0.03713657951605887,"score_gpt":0.21837930857362628,"score_spread":0.18124272905756741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581836848","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051058866,0.001757585,0.9823247,0.0019503715,0.00010040864,0.0005724406,0.001385749,0.0008481409,0.0059546945],"genre_scores_gemma":[0.05269837,0.0015457281,0.9403321,0.0004391901,0.00010235524,0.00058756676,0.0021604823,0.00007958847,0.002054628],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99560285,0.0015103818,0.00035549465,0.0009479577,0.0014203603,0.00016302947],"domain_scores_gemma":[0.9947513,0.0034342238,0.00036343516,0.00051353505,0.00077397923,0.00016353784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044066766,0.0014377519,0.0013534455,0.009111738,0.0015615915,0.0056105126,0.0052603534,0.0017728127,0.0057822033],"category_scores_gemma":[0.011087856,0.00095988956,0.0030494898,0.007352502,0.0017912254,0.007262781,0.003992269,0.0026862156,0.0017418532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017234554,0.0005682553,0.00465788,0.0017815814,0.00051564205,0.0009340772,0.0024267614,0.023011623,0.0031101839,0.26428464,0.01921948,0.6793176],"study_design_scores_gemma":[0.000115241804,0.00016289094,0.0027015985,0.0008827575,0.00026215598,0.0017738276,0.0026768472,0.3827581,0.0044124685,0.50197095,0.10215111,0.0001320993],"about_ca_topic_score_codex":0.004598877,"about_ca_topic_score_gemma":0.004742352,"teacher_disagreement_score":0.009111738,"about_ca_system_score_codex":0.001969384,"about_ca_system_score_gemma":0.0035814715,"threshold_uncertainty_score":0.023304999},"labels":[],"label_agreement":null},{"id":"W2584488802","doi":"","title":"Formalizing ontology modularization through the notion of interfaces","year":2008,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Ontology; Formalism (music); Modular programming; Modular design; Axiom; Process ontology; Ontology components; Exploit; Ontology-based data integration; Programming language; User interface; Description logic; Upper ontology; Theoretical computer science; Suggested Upper Merged Ontology; Process (computing); Epistemology; Computer security; Mathematics","score_opus":0.02926741205290727,"score_gpt":0.2660988135724736,"score_spread":0.23683140151956633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584488802","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003850545,0.00012698851,0.9926541,0.00025681464,0.000042475953,0.00007007517,0.000035935907,0.00044859355,0.0025144245],"genre_scores_gemma":[0.14620708,0.0005783025,0.8483568,0.00037449066,0.0001641259,0.00036366037,0.00032320802,0.0004508595,0.0031814969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944496,0.001685428,0.0007755249,0.0010620898,0.0015555583,0.00047177367],"domain_scores_gemma":[0.9943838,0.0021657234,0.0006109941,0.0017501169,0.00079026935,0.00029911145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009104409,0.0011956288,0.00068356004,0.0019071547,0.0011876916,0.004268208,0.0026210246,0.001520743,0.002083498],"category_scores_gemma":[0.008433867,0.0010718073,0.0024249926,0.0012825142,0.005963909,0.016102731,0.0066816094,0.004364199,0.00067816005],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025323861,0.000035404963,0.00028687855,0.00010477946,0.00003303692,0.00018697315,0.0010626981,0.0038561155,0.0038153837,0.9708722,0.0006615578,0.019059552],"study_design_scores_gemma":[0.000058642596,0.00007965412,0.00027501737,0.00019620615,0.00016738525,0.0004978435,0.0003432173,0.056409296,0.011482201,0.85717934,0.07324729,0.0000639141],"about_ca_topic_score_codex":0.0013035038,"about_ca_topic_score_gemma":0.0010977801,"teacher_disagreement_score":0.009104409,"about_ca_system_score_codex":0.0012674467,"about_ca_system_score_gemma":0.0024414014,"threshold_uncertainty_score":0.048149347},"labels":[],"label_agreement":null},{"id":"W2586297563","doi":"10.29173/cais15","title":"Creating a Metadata-Enabled Framework for Resource Discovery in Knowledge Bases","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Computer science; World Wide Web; Data element; Geospatial metadata; Namespace; Intranet; Information retrieval; Ontology; Metadata repository; Interoperability; Meta Data Services; RDF; The Internet; Data science; Semantic Web; Database","score_opus":0.031297421457928624,"score_gpt":0.2684467891878737,"score_spread":0.23714936772994505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586297563","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038355833,0.00032811062,0.98505616,0.0015908492,0.00005472747,0.0003754816,0.0003196717,0.0023111857,0.0061283386],"genre_scores_gemma":[0.024257503,0.00030282087,0.97227097,0.0001319255,0.000017266697,0.00034337226,0.0006726587,0.00021091227,0.0017926056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.993407,0.0026920119,0.0008998658,0.00083182886,0.0016834128,0.00048586316],"domain_scores_gemma":[0.99467,0.0023633288,0.00031576914,0.0014849221,0.0007629086,0.00040309952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019052757,0.00080824335,0.0012089947,0.009786426,0.005257699,0.01897639,0.0060841674,0.0033286405,0.0035842208],"category_scores_gemma":[0.014661973,0.0015466309,0.0032869158,0.00923372,0.007907554,0.025095072,0.009225939,0.00386378,0.0016551787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056796584,0.00010768666,0.0009404376,0.00033181155,0.000048897695,0.00033637436,0.005133858,0.012759078,0.001956487,0.8908642,0.0044729337,0.08299159],"study_design_scores_gemma":[0.00007321301,0.00007184968,0.00057421095,0.0006532708,0.0001020159,0.0004456862,0.004300781,0.10068789,0.006721602,0.6334851,0.25272766,0.00015680547],"about_ca_topic_score_codex":0.03992765,"about_ca_topic_score_gemma":0.058054876,"teacher_disagreement_score":0.03992765,"about_ca_system_score_codex":0.007661291,"about_ca_system_score_gemma":0.01238645,"threshold_uncertainty_score":0.10076183},"labels":[],"label_agreement":null},{"id":"W2586448740","doi":"10.1080/08874417.2003.11647524","title":"What Can Ontologists Learn from Knowledge Management?","year":2003,"lang":"en","type":"article","venue":"Journal of Computer Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Computer science; Process ontology; Knowledge management; Upper ontology; Premise; Ontology engineering; Process (computing); Knowledge engineering; Reuse; Ontology-based data integration; Tacit knowledge; Software engineering; Domain knowledge; Engineering; Epistemology","score_opus":0.023719724597419434,"score_gpt":0.25450357185871064,"score_spread":0.2307838472612912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586448740","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065957373,0.096313715,0.03180534,0.79412955,0.007274065,0.00004538448,0.00021605559,0.00023718455,0.06338297],"genre_scores_gemma":[0.35251275,0.34961152,0.06940353,0.16010809,0.035460085,0.0004437148,0.0010465579,0.0003113264,0.031102313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9941256,0.003355418,0.00032163956,0.00059695187,0.0012316988,0.00036874224],"domain_scores_gemma":[0.9639904,0.024030207,0.0012083786,0.004370424,0.0038518154,0.0025488278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016157413,0.0010327263,0.0016343863,0.0053831963,0.005080158,0.01752341,0.0029210143,0.0074300813,0.0059757847],"category_scores_gemma":[0.03425053,0.00072271895,0.0009898833,0.0036055143,0.03224598,0.07061303,0.009417099,0.011171308,0.0028139893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004338109,0.00013873768,0.0023443154,0.0010785429,0.00007150634,0.0004147409,0.010497004,0.00061186036,0.00013000476,0.7659903,0.07033131,0.1483483],"study_design_scores_gemma":[0.000009415523,0.0000111261525,0.0003654085,0.000537411,0.000005460117,0.00012444732,0.0036069113,0.00027549066,0.00005323199,0.88455945,0.110433236,0.000018340603],"about_ca_topic_score_codex":0.0043274118,"about_ca_topic_score_gemma":0.0035729937,"teacher_disagreement_score":0.01752341,"about_ca_system_score_codex":0.003964951,"about_ca_system_score_gemma":0.005602025,"threshold_uncertainty_score":0.085449636},"labels":[],"label_agreement":null},{"id":"W2587191570","doi":"10.29173/cais694","title":"Toward a Holistic Framework for Human-Information Interaction","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Valuation (finance); Humanities; Computer science; Psychology; Knowledge management; Cognitive science; Sociology; Philosophy; Business","score_opus":0.0838192483570556,"score_gpt":0.30837948201086784,"score_spread":0.22456023365381222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587191570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060256366,0.004875302,0.89751303,0.006899508,0.00024918956,0.00023308904,0.00016998423,0.0006487524,0.08338551],"genre_scores_gemma":[0.21567033,0.0049240035,0.7637565,0.0011871796,0.0002715332,0.0008416376,0.00046503433,0.00024270413,0.01264107],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99602914,0.0019282873,0.00024068997,0.00060074904,0.00085683714,0.0003444297],"domain_scores_gemma":[0.997719,0.00088470866,0.00015659479,0.00046727833,0.00048875314,0.0002836969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062472094,0.0016667466,0.0011847566,0.0048395176,0.0029785777,0.01451691,0.0029135188,0.0030550838,0.005267879],"category_scores_gemma":[0.0035622688,0.0009246207,0.002185018,0.0027244203,0.014596022,0.016710766,0.0076087276,0.00383486,0.0015705146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014179359,0.00002536326,0.0004260141,0.00022729811,0.00003057684,0.000104253,0.004168818,0.0024815,0.0007467688,0.9741779,0.0015339633,0.016063277],"study_design_scores_gemma":[0.000013668597,0.00003660097,0.00065441633,0.0003863329,0.000045722474,0.00024436688,0.0043227747,0.011681312,0.000506449,0.90721786,0.07485255,0.00003793897],"about_ca_topic_score_codex":0.007009333,"about_ca_topic_score_gemma":0.006596046,"teacher_disagreement_score":0.01451691,"about_ca_system_score_codex":0.0037180826,"about_ca_system_score_gemma":0.0054492564,"threshold_uncertainty_score":0.033038795},"labels":[],"label_agreement":null},{"id":"W2587903057","doi":"10.29173/cais486","title":"Organizing Knowledge = Organizing Data: Applying Principles of Information Organization to the Research Process","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Transferability; Relevance (law); Process (computing); Context (archaeology); Data science; Knowledge management; Information retrieval; Management science; Data mining; Engineering; Machine learning","score_opus":0.08447602529737022,"score_gpt":0.30926732459709444,"score_spread":0.22479129929972422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587903057","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00829681,0.0066731055,0.9400686,0.019103631,0.0005455572,0.0013890814,0.00031476477,0.00032031257,0.023288151],"genre_scores_gemma":[0.16730733,0.0056655547,0.8189046,0.0022116904,0.0005992267,0.003027298,0.0004281141,0.00015785683,0.0016983353],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.88440686,0.0850261,0.0071250014,0.0077954037,0.013978469,0.0016680895],"domain_scores_gemma":[0.8501371,0.10883713,0.009537113,0.021575913,0.00825412,0.00165866],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.10153854,0.0016522643,0.002859631,0.017703373,0.0070172427,0.028966462,0.0037086022,0.0047133802,0.0017535132],"category_scores_gemma":[0.09118548,0.0016075118,0.0026525636,0.01746102,0.051992036,0.032977127,0.0108066425,0.004965646,0.00094607467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003350514,0.00004840498,0.002501315,0.0017664916,0.00017835114,0.0001280967,0.019132456,0.0019786153,0.00055886345,0.8681273,0.0035675655,0.10197898],"study_design_scores_gemma":[0.000026909462,0.000033534714,0.0008214996,0.0009635196,0.000052463696,0.00020071614,0.0046704835,0.0019516438,0.0005237853,0.96260417,0.028087268,0.000064173844],"about_ca_topic_score_codex":0.004404608,"about_ca_topic_score_gemma":0.004420363,"teacher_disagreement_score":0.89846146,"about_ca_system_score_codex":0.0067209615,"about_ca_system_score_gemma":0.020574292,"threshold_uncertainty_score":0.5369935},"labels":[],"label_agreement":null},{"id":"W2587967001","doi":"10.29173/cais31","title":"A Design for the Construction and Evaluation of an Automatic Hypertext Generator","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Hypertext; Computer science; Generator (circuit theory); World Wide Web; Human–computer interaction; Multimedia; Information retrieval; Power (physics)","score_opus":0.05166730810866378,"score_gpt":0.26920315674612505,"score_spread":0.21753584863746128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587967001","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042394,0.00012669711,0.870721,0.00038130122,0.00027133516,0.0069251335,0.0017037856,0.07182318,0.0056535476],"genre_scores_gemma":[0.11536209,0.00010043761,0.86125094,0.0003522756,0.000047448073,0.0073777977,0.0036548288,0.005252454,0.006601858],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921491,0.0030122388,0.0009975069,0.0014030419,0.002098142,0.00033993597],"domain_scores_gemma":[0.9772086,0.009541996,0.00095405406,0.004615528,0.006609198,0.0010705328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010133754,0.0014381813,0.0011287024,0.0018512548,0.001039406,0.0032631552,0.004315856,0.0027856354,0.01719574],"category_scores_gemma":[0.029154662,0.00172312,0.0009700314,0.001024082,0.0015181248,0.004760219,0.0028058845,0.0022373686,0.008681626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006194145,0.0045621023,0.011445234,0.0046576285,0.0003569318,0.0019946112,0.0052667204,0.03361337,0.27312255,0.022999417,0.0369432,0.5988442],"study_design_scores_gemma":[0.0033681754,0.0060533998,0.005894944,0.00046217706,0.00049843127,0.001492703,0.0011167685,0.4059091,0.46075016,0.010015481,0.10408267,0.0003560039],"about_ca_topic_score_codex":0.001815891,"about_ca_topic_score_gemma":0.0011588223,"teacher_disagreement_score":0.01719574,"about_ca_system_score_codex":0.0017348811,"about_ca_system_score_gemma":0.0026085852,"threshold_uncertainty_score":0.057525456},"labels":[],"label_agreement":null},{"id":"W2588562811","doi":"10.29173/cais176","title":"The mycommunityinfo.ca Approach to Online Networked Community Information Provision","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Directory; Metadata; Library science; World Wide Web; Geography; Political science; Humanities; Computer science; Art","score_opus":0.040091948672389875,"score_gpt":0.25352136288267907,"score_spread":0.2134294142102892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588562811","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015607571,0.002245437,0.031446904,0.03203967,0.0002853412,0.00040559843,0.0036462075,0.003872455,0.9104508],"genre_scores_gemma":[0.23003085,0.0034491946,0.062351167,0.0024371208,0.00020319404,0.0004328791,0.0023451915,0.0008627005,0.6978878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985102,0.00017464517,0.00005321162,0.00024563892,0.0007509307,0.00026538],"domain_scores_gemma":[0.99750286,0.00031910194,0.00019429188,0.00052162824,0.000594129,0.0008680826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011380586,0.00032470073,0.00023246929,0.0028645396,0.0064080157,0.0059245867,0.0014624435,0.0017288111,0.039716348],"category_scores_gemma":[0.0030673454,0.0005332858,0.00027242722,0.004712164,0.0034955232,0.0033807552,0.003908401,0.00097298366,0.004626713],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080963044,0.000060991493,0.007833897,0.00041575832,0.000020745789,0.0006335589,0.009545614,0.00082614477,0.0025398212,0.40413314,0.38036355,0.19354579],"study_design_scores_gemma":[0.000010022796,0.0000049881883,0.0042010015,0.000095420575,0.0000050845442,0.000082985505,0.0012773137,0.00076890655,0.00021053106,0.007234687,0.9860941,0.000014929592],"about_ca_topic_score_codex":0.8359425,"about_ca_topic_score_gemma":0.93353623,"teacher_disagreement_score":0.1640575,"about_ca_system_score_codex":0.03461961,"about_ca_system_score_gemma":0.04125235,"threshold_uncertainty_score":0.3300473},"labels":[],"label_agreement":null},{"id":"W2588563243","doi":"10.29173/cais734","title":"Networked Collaboration: The Emerging Paradigm in Information Science","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Information science; Work (physics); Paradigm shift; Information system; World Wide Web; Library science; Sociology; Computer science; Data science; Knowledge management; Political science; Engineering; Epistemology","score_opus":0.01448242540041844,"score_gpt":0.23892722911115352,"score_spread":0.22444480371073508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588563243","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01159689,0.23168647,0.039076883,0.27269852,0.005363741,0.00008371711,0.00035066443,0.0004024427,0.4387407],"genre_scores_gemma":[0.38399988,0.32337403,0.036147367,0.03441286,0.011886691,0.00031731298,0.000749348,0.0004500719,0.20866245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99737513,0.0010437125,0.00010965622,0.000281125,0.0008997982,0.00029061455],"domain_scores_gemma":[0.99698985,0.0015237293,0.00016163151,0.0001719453,0.0005164071,0.0006364176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031792782,0.000528247,0.0005838778,0.0023558764,0.007554084,0.013448162,0.0012564857,0.0026713198,0.012982633],"category_scores_gemma":[0.0031769685,0.0003379277,0.00033372262,0.006925997,0.019721603,0.011097082,0.004826837,0.0031886355,0.0012198148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028192453,0.000021557973,0.00079591025,0.0007352471,0.0000133202575,0.0003533205,0.018112762,0.00039383402,0.0002859288,0.7483796,0.13285129,0.09802905],"study_design_scores_gemma":[0.0000057211673,0.000009278165,0.0005726528,0.00035561738,0.00000352827,0.00013280862,0.0049690893,0.00027202655,0.0000790577,0.13356477,0.8600224,0.000013056339],"about_ca_topic_score_codex":0.1293242,"about_ca_topic_score_gemma":0.29264593,"teacher_disagreement_score":0.1293242,"about_ca_system_score_codex":0.0223089,"about_ca_system_score_gemma":0.015374542,"threshold_uncertainty_score":0.2571429},"labels":[],"label_agreement":null},{"id":"W2588688259","doi":"10.29173/cais450","title":"An Inquiry into the Domain of Information Science, with an Emphasis on Contributing Disciplines 1973 to 1998: Preliminary Results","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Subject (documents); Emphasis (telecommunications); Domain (mathematical analysis); Sociology; Epistemology; Discipline; Engineering ethics; Computer science; Library science; Social science; Engineering; Philosophy; Mathematics","score_opus":0.018354017563491462,"score_gpt":0.26848524997441425,"score_spread":0.2501312324109228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588688259","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2333307,0.072531134,0.053898986,0.110537775,0.0006596126,0.0010070326,0.0044049616,0.00022138093,0.5234084],"genre_scores_gemma":[0.83757454,0.06228432,0.048250496,0.012588155,0.00068648777,0.00135498,0.0042345813,0.00015378985,0.03287267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99326247,0.004305426,0.00025700295,0.00054434844,0.0012442669,0.00038652302],"domain_scores_gemma":[0.8734927,0.11185574,0.0016030839,0.0020151502,0.008023933,0.0030094078],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.015229894,0.00052565197,0.00067702966,0.0054387464,0.003773726,0.0068143187,0.00096301234,0.0018522897,0.01859996],"category_scores_gemma":[0.048422914,0.00045760546,0.0012407493,0.017603911,0.0062828986,0.01832854,0.00381827,0.0035495902,0.002203396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075923826,0.0013601966,0.06408797,0.0031139217,0.00016319548,0.00046587354,0.035795182,0.0029770364,0.0010670559,0.68915874,0.03298635,0.16806528],"study_design_scores_gemma":[0.00011439932,0.0003997055,0.11539462,0.0035568636,0.0002126763,0.00036185636,0.08424162,0.0045885565,0.0018000132,0.51498514,0.2742614,0.00008323585],"about_ca_topic_score_codex":0.038053196,"about_ca_topic_score_gemma":0.030198235,"teacher_disagreement_score":0.99456125,"about_ca_system_score_codex":0.007214633,"about_ca_system_score_gemma":0.012242405,"threshold_uncertainty_score":0.08054435},"labels":[],"label_agreement":null},{"id":"W2588895582","doi":"10.29173/cais724","title":"Automated Thesaurus Management in a Networked Environment","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thesaurus; Computer science; Microcomputer; Information retrieval; World Wide Web; Natural language processing; Telecommunications","score_opus":0.017258335217918967,"score_gpt":0.2248529061202361,"score_spread":0.20759457090231712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588895582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13064148,0.0013712812,0.786215,0.0018214899,0.0002185501,0.0008395742,0.001829861,0.022319155,0.05474368],"genre_scores_gemma":[0.23824589,0.0007345807,0.7323187,0.00022910078,0.000099569574,0.0002950543,0.004041641,0.0015119327,0.0225236],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979235,0.0006595452,0.00019868041,0.00043446102,0.0006929125,0.00009081231],"domain_scores_gemma":[0.99651885,0.0010353201,0.0002391208,0.0011704707,0.0008387524,0.00019739295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022435286,0.0005211006,0.0007880218,0.0027246769,0.0020632874,0.004066894,0.0013812614,0.00075802684,0.008539436],"category_scores_gemma":[0.007208222,0.00048296596,0.0005763582,0.0019452058,0.00096279115,0.0036746503,0.0039119874,0.00071324763,0.004243227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026721536,0.00019074487,0.003209254,0.00029109014,0.00007250099,0.0005947278,0.0035755169,0.015829641,0.023228616,0.017824115,0.048673727,0.886243],"study_design_scores_gemma":[0.00017072573,0.00015448073,0.008563006,0.00033651042,0.00013437965,0.0012997342,0.004404859,0.30545965,0.05946405,0.07036259,0.5494153,0.0002347235],"about_ca_topic_score_codex":0.018153455,"about_ca_topic_score_gemma":0.031943966,"teacher_disagreement_score":0.018153455,"about_ca_system_score_codex":0.0019907828,"about_ca_system_score_gemma":0.0032024682,"threshold_uncertainty_score":0.03609556},"labels":[],"label_agreement":null},{"id":"W2589114119","doi":"10.29173/cais731","title":"IR Research and Innovation in Commercial Online Systems: An Exploratory Survey","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Dialog box; Relevance (law); Weighting; Ranking (information retrieval); Matching (statistics); Set (abstract data type); Information system; Citation; Data science; World Wide Web; Engineering","score_opus":0.1286886300744674,"score_gpt":0.3293813374054435,"score_spread":0.2006927073309761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589114119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5358507,0.29858184,0.008042072,0.017280845,0.00033990206,0.0004773257,0.00080759975,0.00032887905,0.13829082],"genre_scores_gemma":[0.80925393,0.15816833,0.0098757995,0.0032366307,0.0008113856,0.00033821355,0.0012623041,0.00023706055,0.016816296],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9828728,0.0061430973,0.0016004288,0.0017092475,0.0067202873,0.00095415895],"domain_scores_gemma":[0.87826973,0.09216488,0.0064834096,0.003422561,0.016701344,0.002958121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025543798,0.00043326066,0.0007577231,0.010373257,0.0018752838,0.008727594,0.0015364315,0.0015365565,0.007983106],"category_scores_gemma":[0.055719085,0.00042689664,0.00042641815,0.016758118,0.0043112086,0.010533101,0.0021747747,0.0014661303,0.0019579905],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003428299,0.00057898584,0.06170042,0.0049666003,0.000081267295,0.00043799987,0.032102544,0.0005365642,0.002901239,0.014451247,0.016602866,0.86529726],"study_design_scores_gemma":[0.00008576423,0.0019036666,0.32805127,0.0048246044,0.0001487168,0.0030529448,0.057449885,0.0031330187,0.005358765,0.0071009435,0.5886918,0.00019872513],"about_ca_topic_score_codex":0.004160272,"about_ca_topic_score_gemma":0.005889578,"teacher_disagreement_score":0.025543798,"about_ca_system_score_codex":0.0045336736,"about_ca_system_score_gemma":0.003851979,"threshold_uncertainty_score":0.13509011},"labels":[],"label_agreement":null},{"id":"W2589456634","doi":"","title":"The Ontological Frameworks of the Semantic Web and the Metadata Harvesting Protocol","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Semantic Web; Metadata; World Wide Web; Semantic Web Stack; Protocol (science); Semantic grid; Information retrieval; Ontology; Social Semantic Web; Medicine; Epistemology; Philosophy","score_opus":0.021110919611151586,"score_gpt":0.25021437271883684,"score_spread":0.22910345310768526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589456634","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002365818,0.0013149877,0.948902,0.009447829,0.00061746367,0.00029929608,0.000651276,0.0015279807,0.034873325],"genre_scores_gemma":[0.115522884,0.0041891863,0.8460591,0.003600671,0.001178561,0.0016066626,0.0032136873,0.0017341867,0.022895172],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9821326,0.0077596405,0.0026134222,0.0014596133,0.0050252243,0.0010094256],"domain_scores_gemma":[0.97709787,0.008434997,0.0013277918,0.009637885,0.0025743744,0.0009270731],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.028142551,0.0013457054,0.001750741,0.0060828417,0.005477617,0.018724155,0.0061252215,0.0064314166,0.005956911],"category_scores_gemma":[0.03305373,0.0029511184,0.0031489667,0.0075184046,0.013127008,0.03229681,0.010817724,0.011995505,0.0034395223],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018056338,0.000023737597,0.000059358965,0.000041797997,0.000009114102,0.00004234062,0.00024846525,0.00087446213,0.0002688064,0.9872066,0.002710287,0.008496992],"study_design_scores_gemma":[0.000019668581,0.000010417592,0.00010936244,0.00015450442,0.00003085786,0.000088395216,0.00020719804,0.0088451635,0.0011922054,0.9132575,0.076044135,0.000040580773],"about_ca_topic_score_codex":0.009873131,"about_ca_topic_score_gemma":0.008177167,"teacher_disagreement_score":0.98127586,"about_ca_system_score_codex":0.003920942,"about_ca_system_score_gemma":0.009865745,"threshold_uncertainty_score":0.14883387},"labels":[],"label_agreement":null},{"id":"W2590778359","doi":"10.1109/icci-cc.2016.7862043","title":"Semantic computing of simplicity in attributed generalized trees","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Simplicity; Computer science; Tree traversal; Algorithm; Theoretical computer science; Simple (philosophy); Mathematics","score_opus":0.02795226345642583,"score_gpt":0.26658936684855633,"score_spread":0.2386371033921305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590778359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20645267,0.000839088,0.78659195,0.00041290114,0.000040724724,0.00015704501,0.0012763956,0.0012738693,0.0029553229],"genre_scores_gemma":[0.75392354,0.0004666759,0.24217498,0.00010753719,0.00008064163,0.00011975597,0.0018284227,0.00015987323,0.0011386481],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957111,0.0009347244,0.00048447933,0.00090425555,0.0017101521,0.0002552413],"domain_scores_gemma":[0.9855226,0.008078814,0.0017243498,0.0021393613,0.0019935877,0.0005413559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033161037,0.0006681466,0.0012165016,0.007317536,0.0014582236,0.0031336143,0.0013872465,0.0009065925,0.0014578972],"category_scores_gemma":[0.022643387,0.0005329931,0.001702797,0.0077677323,0.0018636918,0.009584927,0.0026526507,0.0010083099,0.00027980146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005793367,0.00014911126,0.034143034,0.00082379155,0.0003843615,0.0006897657,0.00185662,0.28291595,0.007676846,0.33194005,0.004462013,0.33437908],"study_design_scores_gemma":[0.000028043463,0.00009240961,0.005785,0.000067424546,0.00011423846,0.00031270145,0.0002443346,0.5965924,0.0036377013,0.38696054,0.006101003,0.00006421166],"about_ca_topic_score_codex":0.004703323,"about_ca_topic_score_gemma":0.0067403945,"teacher_disagreement_score":0.007317536,"about_ca_system_score_codex":0.002599401,"about_ca_system_score_gemma":0.0010133635,"threshold_uncertainty_score":0.018860102},"labels":[],"label_agreement":null},{"id":"W2591119564","doi":"10.29173/cais209","title":"The Long Tail of Forgetting: Libraries, the Web 2.0, and the Phenomenology of Memory","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"World Wide Web; Forgetting; RSS; Computer science; Humanities; Art; Philosophy; Linguistics","score_opus":0.023148272745338375,"score_gpt":0.22359332966062398,"score_spread":0.2004450569152856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591119564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4992841,0.053453438,0.045251664,0.06256876,0.0007000665,0.00006907791,0.00018579217,0.00031273236,0.3381744],"genre_scores_gemma":[0.9888494,0.003537008,0.0012861111,0.0013529611,0.00014452111,0.000023346713,0.000025591537,0.000043265256,0.0047378493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983997,0.0010447428,0.000052639156,0.00013404217,0.0002017332,0.00016722102],"domain_scores_gemma":[0.99572915,0.0030162353,0.00037147792,0.0004452065,0.00025778546,0.0001800228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00291875,0.00033237287,0.00030331936,0.002569786,0.00409362,0.008652203,0.00093628815,0.0022580556,0.0027231988],"category_scores_gemma":[0.007371531,0.00021620284,0.00034137396,0.0026811487,0.02661882,0.02435226,0.0043289713,0.001832573,0.00028164068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010971264,0.000026806973,0.0021528024,0.0002336337,0.0000137217785,0.0005446985,0.3056677,0.00032072992,0.00040269655,0.65830326,0.0028119362,0.02941226],"study_design_scores_gemma":[0.000033548462,0.000104428684,0.004281096,0.00078652124,0.00003590736,0.0016072309,0.20673402,0.0008803977,0.0010957468,0.60996664,0.17436194,0.00011254665],"about_ca_topic_score_codex":0.006491916,"about_ca_topic_score_gemma":0.0038520356,"teacher_disagreement_score":0.008652203,"about_ca_system_score_codex":0.0026844468,"about_ca_system_score_gemma":0.001346579,"threshold_uncertainty_score":0.01947707},"labels":[],"label_agreement":null},{"id":"W2591794136","doi":"","title":"Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)","year":2016,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence","score_opus":0.16208401831451955,"score_gpt":0.33707740503262607,"score_spread":0.17499338671810652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591794136","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017147256,0.060262877,0.048348513,0.12572163,0.30331784,0.0007349319,0.013761869,0.006133522,0.42457157],"genre_scores_gemma":[0.041496012,0.044351466,0.038300045,0.010908435,0.015218136,0.00043289756,0.039970465,0.0016403424,0.80768216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99856937,0.00031780073,0.00013782384,0.00020223774,0.0006376919,0.00013498894],"domain_scores_gemma":[0.99428695,0.0006576609,0.0001746626,0.0009037871,0.0027925821,0.0011843282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005118358,0.0011075062,0.001792278,0.001764207,0.0015217091,0.007709325,0.0016811778,0.0020765322,0.11440083],"category_scores_gemma":[0.0076291696,0.0006513328,0.0009923918,0.0017485522,0.0013516569,0.006606387,0.0033840742,0.0046532038,0.08443373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022403475,0.00030876455,0.0017383458,0.00021725376,0.000048919057,0.00010356055,0.00009852204,0.00016751973,0.00076271285,0.0035531635,0.86310935,0.12966785],"study_design_scores_gemma":[0.00003885426,0.00004084255,0.0017712718,0.00019514906,0.00006553241,0.0001507295,0.00015679622,0.0011872618,0.0007109019,0.0051263273,0.9905363,0.000020131907],"about_ca_topic_score_codex":0.008320542,"about_ca_topic_score_gemma":0.013335263,"teacher_disagreement_score":0.11440083,"about_ca_system_score_codex":0.0015379209,"about_ca_system_score_gemma":0.0036707278,"threshold_uncertainty_score":0.3827089},"labels":[],"label_agreement":null},{"id":"W2592211537","doi":"10.19173/irrodl.v18i1.2681","title":"Instance-Based Ontology Matching For Open and Distance Learning Materials","year":2017,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Comisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacional; Instituto Politécnico Nacional","keywords":"Computer science; Ontology; Metadata; Ontology alignment; Classifier (UML); Distance education; Matching (statistics); Associative property; Information retrieval; Artificial intelligence; Semantic Web; Data mining; Ontology-based data integration; World Wide Web","score_opus":0.14136235157692487,"score_gpt":0.4689412287494585,"score_spread":0.32757887717253364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592211537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05284901,0.00089566613,0.93395746,0.0008214585,0.00017402586,0.00043129688,0.0018246497,0.0038991175,0.0051472574],"genre_scores_gemma":[0.33301416,0.00056750973,0.6561871,0.000249298,0.00008427809,0.00029413533,0.0057857595,0.00021138649,0.0036064102],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964257,0.0008838493,0.0004513576,0.00082512764,0.001198235,0.00021563325],"domain_scores_gemma":[0.99684525,0.0012813527,0.00037953694,0.00090340193,0.00044266233,0.00014780657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029352254,0.00058656547,0.001060563,0.005020226,0.0010555178,0.003037217,0.0026916028,0.0016243762,0.004284927],"category_scores_gemma":[0.0091616595,0.0003297897,0.0020132114,0.006193116,0.00071101316,0.0071439454,0.0028227177,0.0016411797,0.0017631717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000249956,0.0007040405,0.009869142,0.00033431416,0.00021608033,0.00014670672,0.0002986043,0.026793914,0.003970507,0.03893313,0.009242663,0.90924096],"study_design_scores_gemma":[0.00004695738,0.00013641216,0.007759744,0.00008998683,0.000095793774,0.00036434695,0.00067292596,0.83708036,0.008692383,0.1223173,0.022692796,0.00005097209],"about_ca_topic_score_codex":0.008798325,"about_ca_topic_score_gemma":0.007844388,"teacher_disagreement_score":0.008798325,"about_ca_system_score_codex":0.0018609556,"about_ca_system_score_gemma":0.002364464,"threshold_uncertainty_score":0.017494261},"labels":[],"label_agreement":null},{"id":"W2592452399","doi":"10.3166/isi.21.5-6.107-131","title":"Un outil de visualisation d’ontologies pour le web des données, utilisable par tous","year":2016,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.04772358799445113,"score_gpt":0.25374719635164544,"score_spread":0.2060236083571943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592452399","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01159958,0.0011333058,0.89576125,0.0013004845,0.0005320544,0.00020508477,0.0049814763,0.071471624,0.013015106],"genre_scores_gemma":[0.09697344,0.0028532604,0.8515454,0.0006141466,0.0002519715,0.0005897947,0.011778493,0.011628532,0.023764933],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974154,0.00061985606,0.00016063596,0.00041062885,0.0012706266,0.00012282922],"domain_scores_gemma":[0.9949837,0.0027560284,0.00017767565,0.0008297339,0.0009585153,0.00029438947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022833517,0.0029031166,0.001477568,0.004949007,0.0015544122,0.010419852,0.0011796143,0.0025740785,0.025712537],"category_scores_gemma":[0.010503359,0.0012695881,0.002290306,0.0030999475,0.0011553311,0.0056613255,0.0032419472,0.0037264621,0.007381231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024973624,0.0005175958,0.0031591847,0.0037002019,0.00049908797,0.0020428717,0.004091766,0.019613467,0.080354095,0.06505254,0.11427654,0.70419526],"study_design_scores_gemma":[0.0006655073,0.0002456113,0.0053724856,0.0014826333,0.0002815915,0.0023674525,0.0014271623,0.27546692,0.0951286,0.04561475,0.5715285,0.00041883014],"about_ca_topic_score_codex":0.016850095,"about_ca_topic_score_gemma":0.012269663,"teacher_disagreement_score":0.025712537,"about_ca_system_score_codex":0.0010025224,"about_ca_system_score_gemma":0.0017592133,"threshold_uncertainty_score":0.08601707},"labels":[],"label_agreement":null},{"id":"W2592687323","doi":"","title":"Infrastructure Web socio-sémantique pour la Veille Collaborative","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Humanities; Political science; Computer science; Library science; Art","score_opus":0.011201444583748903,"score_gpt":0.23337564437240157,"score_spread":0.22217419978865266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592687323","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021296125,0.0004498066,0.88813514,0.004350262,0.0005287502,0.00080837,0.0030811166,0.048966248,0.032384146],"genre_scores_gemma":[0.28553188,0.00068878324,0.6549975,0.0007149035,0.00021968779,0.001960369,0.015339258,0.005283152,0.035264466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961189,0.0015627694,0.0002933748,0.00069693127,0.0010540608,0.00027387767],"domain_scores_gemma":[0.99499196,0.0018040615,0.00011883555,0.0018468357,0.00069002353,0.0005483065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005495841,0.00097358506,0.0009891927,0.0018148713,0.0024666672,0.0073312237,0.002122032,0.0030633819,0.020196494],"category_scores_gemma":[0.007858104,0.0008206845,0.0016079595,0.0015112514,0.0014100382,0.010355845,0.007829001,0.0044525247,0.00794237],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013133364,0.0017707846,0.0052928417,0.0009802283,0.00027953798,0.0017416037,0.0067950124,0.034594547,0.02911957,0.5351215,0.09231159,0.29067943],"study_design_scores_gemma":[0.00032685453,0.00016916216,0.0029922805,0.0003423987,0.000083854655,0.0006471881,0.002112315,0.3400278,0.018009534,0.13811387,0.49701586,0.00015882676],"about_ca_topic_score_codex":0.014453339,"about_ca_topic_score_gemma":0.0092402,"teacher_disagreement_score":0.020196494,"about_ca_system_score_codex":0.0025117812,"about_ca_system_score_gemma":0.0051849466,"threshold_uncertainty_score":0.06756401},"labels":[],"label_agreement":null},{"id":"W2593181211","doi":"10.13140/rg.2.1.1581.1281","title":"G-OWL : Vers un langage de modélisation graphique, polymorphique et typé pour la construction d'une ontologie dans la notation OWL","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Ontology; Philosophy; Computer science; Epistemology","score_opus":0.02542345354787312,"score_gpt":0.24400252646178697,"score_spread":0.21857907291391385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593181211","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034155187,0.00017987828,0.9836864,0.0007955728,0.00042872102,0.0001083672,0.0006803163,0.0081037795,0.002601422],"genre_scores_gemma":[0.06562024,0.0012749325,0.911225,0.0010730101,0.00042719633,0.00048670385,0.00246808,0.0065647466,0.010860142],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969298,0.00077220896,0.00037335284,0.0006080214,0.0010959604,0.00022064801],"domain_scores_gemma":[0.9968363,0.0017730921,0.000193382,0.00056696247,0.0004114132,0.00021892437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004881151,0.002099445,0.0018776541,0.0023294007,0.0020467434,0.008815654,0.0018371266,0.0035557295,0.008318949],"category_scores_gemma":[0.0075350823,0.0026025316,0.0039076973,0.001875632,0.0042886906,0.012832064,0.0031709988,0.009082544,0.003558755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038253175,0.00020299801,0.0012493609,0.00069668697,0.00013413408,0.0013704477,0.002679092,0.009153438,0.013573262,0.85587674,0.023445424,0.09123593],"study_design_scores_gemma":[0.00028282305,0.00015029317,0.0010258233,0.0004949122,0.00019239754,0.0011950117,0.0010661016,0.08838586,0.025271721,0.43867627,0.44294932,0.00030947343],"about_ca_topic_score_codex":0.022241361,"about_ca_topic_score_gemma":0.013667624,"teacher_disagreement_score":0.022241361,"about_ca_system_score_codex":0.0027619556,"about_ca_system_score_gemma":0.0042656166,"threshold_uncertainty_score":0.044223785},"labels":[],"label_agreement":null},{"id":"W2593429823","doi":"10.1007/978-981-10-3156-4_68","title":"An Exploratory Study of RDF: A Data Model for Cloud Computing","year":2017,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; RDF; Linked data; Semantic Web; Semantic analytics; Semantic Web Stack; Cloud computing; Social Semantic Web; World Wide Web; Cwm; Data Web; SPARQL; Information retrieval; Database; Web service","score_opus":0.12081045289656958,"score_gpt":0.35415133240644664,"score_spread":0.23334087950987706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593429823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8359014,0.0025555133,0.061312385,0.006987548,0.0000816462,0.0007312018,0.0025167912,0.0001493235,0.08976416],"genre_scores_gemma":[0.9313023,0.002001397,0.056862053,0.00062657875,0.000037065805,0.00024097785,0.0015458211,0.00020336483,0.007180356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972567,0.0018087256,0.00007075263,0.00015421819,0.0005886146,0.000121014236],"domain_scores_gemma":[0.9837143,0.014164578,0.00036373636,0.0006054106,0.000948299,0.00020361094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005184231,0.00022478683,0.00016023933,0.0014921601,0.0016441983,0.0030249876,0.0006666223,0.0006456631,0.001960688],"category_scores_gemma":[0.019040903,0.00019541311,0.00031673448,0.0040047225,0.0020960185,0.0072069624,0.0013601539,0.0015212318,0.00022542902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046865904,0.00086105143,0.045334194,0.0010174316,0.00004823483,0.0019742537,0.1154415,0.004955363,0.0094621675,0.5796168,0.021858228,0.2189621],"study_design_scores_gemma":[0.000049294787,0.00034886217,0.046062186,0.0013622564,0.00008858798,0.0031213288,0.28026158,0.05714861,0.017015323,0.16075787,0.43367136,0.000112795344],"about_ca_topic_score_codex":0.013505544,"about_ca_topic_score_gemma":0.01696308,"teacher_disagreement_score":0.013505544,"about_ca_system_score_codex":0.0026252137,"about_ca_system_score_gemma":0.0019384016,"threshold_uncertainty_score":0.027417183},"labels":[],"label_agreement":null},{"id":"W2593474781","doi":"10.9776/17316","title":"Dolmen: A Linked Open Data Model to Enhance Museum Object Descriptions","year":2017,"lang":"en","type":"article","venue":"IDEALS (University of Illinois Urbana-Champaign)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université de Montréal","funders":"","keywords":"Dissemination; Cultural heritage; Computer science; Object (grammar); World Wide Web; Open data; Data modeling; Data science; Database; Geography; Archaeology; Telecommunications; Artificial intelligence","score_opus":0.10828246908006238,"score_gpt":0.31832704960999114,"score_spread":0.21004458052992875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593474781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035525283,0.00052295905,0.95326626,0.0023984874,0.0002780998,0.00088935846,0.010240828,0.013511115,0.015340324],"genre_scores_gemma":[0.03967492,0.0009856968,0.9199942,0.0010339022,0.00009010483,0.0009122092,0.02332343,0.0019152672,0.012070286],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9951703,0.0011864826,0.0008062016,0.0006281645,0.0018957179,0.00031303894],"domain_scores_gemma":[0.99233174,0.0018621492,0.00043679914,0.0028478943,0.001878081,0.00064343447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008973798,0.00101374,0.0008750983,0.008681729,0.003364164,0.008607621,0.0037128965,0.0022867804,0.006005665],"category_scores_gemma":[0.016788,0.0011394287,0.002575363,0.0093586305,0.0025053346,0.01740817,0.009381244,0.0035102789,0.002883988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023374974,0.00021515848,0.0034248088,0.0007011215,0.00011750246,0.00065729895,0.004248974,0.012355666,0.0035500561,0.7365997,0.08028047,0.15761547],"study_design_scores_gemma":[0.00005585486,0.000036415153,0.0006640527,0.0005020039,0.000087175235,0.00028407577,0.000932396,0.050188143,0.0031442405,0.15717135,0.78680456,0.00012967165],"about_ca_topic_score_codex":0.096433036,"about_ca_topic_score_gemma":0.19690795,"teacher_disagreement_score":0.096433036,"about_ca_system_score_codex":0.006138607,"about_ca_system_score_gemma":0.0097476095,"threshold_uncertainty_score":0.1917435},"labels":[],"label_agreement":null},{"id":"W2594653288","doi":"","title":"SKIing with DOLCE: toward an e-Science Knowledge Infrastructure","year":2008,"lang":"en","type":"article","venue":"Ghent University Academic Bibliography (Ghent University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Ontology; Computer science; Domain (mathematical analysis); Knowledge representation and reasoning; Bridge (graph theory); Data science; Domain knowledge; Sociology of scientific knowledge; Representation (politics); Extension (predicate logic); Knowledge management; Epistemology; Artificial intelligence; Programming language; Mathematics; Philosophy","score_opus":0.02549941139584091,"score_gpt":0.22417323892181518,"score_spread":0.19867382752597426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594653288","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0109971585,0.00046214595,0.92737144,0.005450289,0.0002072072,0.00031530755,0.00046832042,0.004490029,0.05023813],"genre_scores_gemma":[0.10199624,0.0015684335,0.875788,0.001522251,0.00006424398,0.00029604233,0.0022609602,0.0006148999,0.015889011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969445,0.0007722181,0.00030033995,0.00037497925,0.0011733813,0.00043458468],"domain_scores_gemma":[0.9965114,0.0008022778,0.00021205832,0.0011189496,0.0009260247,0.00042930653],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0057967175,0.000512409,0.00073420996,0.0034620117,0.0020352635,0.009241941,0.0034506463,0.0019563213,0.005764956],"category_scores_gemma":[0.00909565,0.0007454441,0.0015660037,0.0045909733,0.0059464197,0.019609071,0.011266351,0.0041214353,0.0024969142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005168849,0.00009916484,0.0012837431,0.0004168252,0.000027895552,0.00032072616,0.0020573423,0.0069963313,0.0022638256,0.8954408,0.010107052,0.080934584],"study_design_scores_gemma":[0.00005612917,0.000046568588,0.0004499123,0.0005312027,0.000052484153,0.0004183123,0.0020796247,0.047635056,0.0077648526,0.35178348,0.5891046,0.000077801844],"about_ca_topic_score_codex":0.01606758,"about_ca_topic_score_gemma":0.01165668,"teacher_disagreement_score":0.99075806,"about_ca_system_score_codex":0.0031965266,"about_ca_system_score_gemma":0.009938365,"threshold_uncertainty_score":0.03194809},"labels":[],"label_agreement":null},{"id":"W2597671143","doi":"10.29173/cais207","title":"The Cognitive and Social Lives of Paradigms in Information Science","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Confusion; Epistemology; Normal science; Philosophy; Humanities; Sociology; Cognition; Psychology; Psychoanalysis","score_opus":0.025908541941220685,"score_gpt":0.2522453760811384,"score_spread":0.2263368341399177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597671143","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05157025,0.04832456,0.19854206,0.2199073,0.0030287274,0.00013681051,0.00018127481,0.0002436254,0.47806546],"genre_scores_gemma":[0.9006466,0.020265996,0.0517309,0.008826782,0.002372798,0.00039001007,0.00011874391,0.00021578204,0.01543234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97761863,0.016596349,0.000730457,0.0012396247,0.0030181296,0.000796774],"domain_scores_gemma":[0.9696816,0.024420466,0.0014637989,0.0021502648,0.0013956444,0.0008881854],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.015236604,0.0008724973,0.00075465767,0.0064418246,0.00852004,0.01831583,0.0014190909,0.0053456463,0.0031639705],"category_scores_gemma":[0.01914847,0.00065464986,0.00107329,0.0069104554,0.07915821,0.041483648,0.008537934,0.00772617,0.0007715939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008559434,0.0000063316224,0.000075887256,0.000036533016,0.0000045263705,0.000031221298,0.008419772,0.000097850345,0.000063969324,0.98665977,0.0013007367,0.0032948789],"study_design_scores_gemma":[0.0000067117517,0.0000083291425,0.000101166705,0.00006273609,0.0000033139886,0.000079899044,0.0029875436,0.00023285155,0.0000677313,0.95733416,0.03910206,0.0000135426035],"about_ca_topic_score_codex":0.003015405,"about_ca_topic_score_gemma":0.0019821962,"teacher_disagreement_score":0.99147993,"about_ca_system_score_codex":0.00784788,"about_ca_system_score_gemma":0.004281948,"threshold_uncertainty_score":0.08057982},"labels":[],"label_agreement":null},{"id":"W2598528464","doi":"","title":"Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada.","year":2014,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Telecommunications","score_opus":0.08604630794363108,"score_gpt":0.2975613497503107,"score_spread":0.2115150418066796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598528464","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024437543,0.09218087,0.05430368,0.114579156,0.096605405,0.001344626,0.06542428,0.014418903,0.53670555],"genre_scores_gemma":[0.031642225,0.02481332,0.024082692,0.0066494253,0.0029637844,0.00028682634,0.06768815,0.0014700762,0.84040356],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890304,0.00021490584,0.000057367415,0.00014402442,0.0005004479,0.00018013564],"domain_scores_gemma":[0.9944271,0.0005343479,0.000067190034,0.0005178388,0.0036205542,0.0008329093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036898246,0.0014174958,0.0020731192,0.0015654073,0.002590718,0.0063336347,0.002723783,0.0016177271,0.16775692],"category_scores_gemma":[0.004932592,0.0006634551,0.00078792794,0.001692284,0.0014597893,0.0029605115,0.002305247,0.0028663436,0.07544604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008307027,0.000090386384,0.0010346848,0.00010630484,0.00004081329,0.000057171765,0.00007878905,0.00010956777,0.00038861306,0.00056318525,0.9541756,0.04327184],"study_design_scores_gemma":[0.000051902876,0.000033618668,0.006045327,0.00022355586,0.000092380964,0.00010965166,0.0005657072,0.0016815347,0.0008372191,0.0018940606,0.98841596,0.000049093815],"about_ca_topic_score_codex":0.5017916,"about_ca_topic_score_gemma":0.75682485,"teacher_disagreement_score":0.4982084,"about_ca_system_score_codex":0.008794653,"about_ca_system_score_gemma":0.012023443,"threshold_uncertainty_score":0.9977417},"labels":[],"label_agreement":null},{"id":"W2600687278","doi":"10.22329/il.v37i1.4523","title":"Argument or Explanation: Who is to Decide?","year":2017,"lang":"en","type":"article","venue":"Informal Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Epistemology; Philosophy; Medicine","score_opus":0.06307956560992599,"score_gpt":0.3175833967711396,"score_spread":0.2545038311612136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600687278","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018530227,0.022741187,0.16497166,0.5662401,0.0065971697,0.00017826207,0.0003881593,0.00026600313,0.22008723],"genre_scores_gemma":[0.8731783,0.010117811,0.051896982,0.037543647,0.0050353445,0.00025431067,0.0003691475,0.00037816653,0.021226317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98249024,0.009803416,0.0010974092,0.0024590143,0.0027370092,0.0014128273],"domain_scores_gemma":[0.96706957,0.022237623,0.0019369178,0.0036333126,0.0036150739,0.0015075749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031879555,0.00065578474,0.0020555349,0.0027369005,0.005188851,0.013067046,0.0031492035,0.0103929825,0.010256911],"category_scores_gemma":[0.0479079,0.0006893848,0.0011447748,0.0021228218,0.05408811,0.042104524,0.0046408502,0.008694049,0.0026646687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032133612,0.000012528335,0.00045233275,0.000113709495,0.00002238253,0.00011855035,0.0023588587,0.00008063526,0.00009783217,0.9755148,0.008809823,0.012386379],"study_design_scores_gemma":[0.000010992316,0.0000047491108,0.00015484075,0.00017196269,0.000012896709,0.00010456138,0.0028836078,0.0002954225,0.00012252557,0.9609828,0.035240304,0.00001538414],"about_ca_topic_score_codex":0.0037149854,"about_ca_topic_score_gemma":0.0028255817,"teacher_disagreement_score":0.031879555,"about_ca_system_score_codex":0.0045260014,"about_ca_system_score_gemma":0.0059785447,"threshold_uncertainty_score":0.16859722},"labels":[],"label_agreement":null},{"id":"W2601254363","doi":"10.1017/9781316755808.004","title":"An Intensional Type Theory","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intension; Denotation (semiotics); Predicate (mathematical logic); Notation; Extension (predicate logic); Computer science; Predicate logic; Terminology; Natural language processing; Mathematics; Linguistics; Artificial intelligence; Programming language; Philosophy; Description logic","score_opus":0.03558977044887864,"score_gpt":0.22757238978975003,"score_spread":0.19198261934087138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601254363","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040112934,0.009483636,0.35688654,0.0071541606,0.0021506543,0.00010462103,0.0006192679,0.00038574333,0.619204],"genre_scores_gemma":[0.32430294,0.012549601,0.3697465,0.00912583,0.004279699,0.0005857588,0.0012484866,0.0007995562,0.27736175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985487,0.00048798122,0.000091113296,0.0003103265,0.00044841808,0.00011347596],"domain_scores_gemma":[0.9987771,0.0004887953,0.00006899731,0.00026858356,0.00031442943,0.00008203938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027084127,0.00068815413,0.00070107146,0.0032358647,0.001995385,0.006268744,0.0016184564,0.0017059686,0.01475304],"category_scores_gemma":[0.002635588,0.0006197214,0.0012816301,0.0027650294,0.006830373,0.013796961,0.0028036465,0.004235059,0.003970376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023295765,0.0000022716374,0.00001332621,0.000014004853,0.00000142798,0.000008118515,0.00007786706,0.00006268518,0.000047160796,0.99545836,0.0015340006,0.002778567],"study_design_scores_gemma":[0.0000061718865,0.0000056443387,0.000038119437,0.00007339954,0.0000055496444,0.00008481753,0.00007126935,0.0009157307,0.00017209894,0.8654307,0.13318951,0.00000692671],"about_ca_topic_score_codex":0.0013548887,"about_ca_topic_score_gemma":0.0013021798,"teacher_disagreement_score":0.01475304,"about_ca_system_score_codex":0.0031217989,"about_ca_system_score_gemma":0.0015545113,"threshold_uncertainty_score":0.049353838},"labels":[],"label_agreement":null},{"id":"W2603258711","doi":"10.1007/978-3-319-55998-8_3","title":"Heterogeneous Data Integration Using Web of Data Technologies","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University","funders":"","keywords":"Computer science; SPARQL; RDF; Geospatial analysis; Information retrieval; Semantic Web; Linked data; World Wide Web; Database; Data science; Geography","score_opus":0.1141619639267932,"score_gpt":0.3259662262120782,"score_spread":0.211804262285285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603258711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063170944,0.010097485,0.95729494,0.0012473325,0.0005543237,0.00018432587,0.0004376894,0.0031092092,0.02075774],"genre_scores_gemma":[0.096818484,0.015547597,0.8617327,0.0013302262,0.00046508762,0.0003682043,0.0055745747,0.0015046953,0.016658492],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964437,0.0006441526,0.00053606246,0.0004584193,0.001759975,0.00015775839],"domain_scores_gemma":[0.99772686,0.0008976967,0.0001146328,0.0007940469,0.00035505436,0.0001117597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033287862,0.0009981437,0.0016077169,0.006384508,0.000989409,0.009243229,0.0022846696,0.00170652,0.003401754],"category_scores_gemma":[0.0055385963,0.0010194839,0.0018943703,0.010468212,0.0012114858,0.01375898,0.007202914,0.0025351632,0.0019011707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115308736,0.00018843939,0.0014645084,0.0011364695,0.0004727333,0.0010332764,0.0009062938,0.0066459235,0.013531622,0.32948622,0.022538973,0.6224803],"study_design_scores_gemma":[0.000033358217,0.000047177098,0.0010533654,0.0009618164,0.00034597577,0.0013506209,0.0005833652,0.0640773,0.02818085,0.5440958,0.3591647,0.00010569844],"about_ca_topic_score_codex":0.0012223421,"about_ca_topic_score_gemma":0.0011314513,"teacher_disagreement_score":0.009243229,"about_ca_system_score_codex":0.0009604109,"about_ca_system_score_gemma":0.0011872273,"threshold_uncertainty_score":0.01760453},"labels":[],"label_agreement":null},{"id":"W2604328152","doi":"10.3233/978-1-61499-370-4-13","title":"Close Encounters of the Semantic Web and MDA Kinds","year":2014,"lang":"en","type":"book-chapter","venue":"Studies on the semantic web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Semantic Web; Computer science; World Wide Web; Social Semantic Web; Information retrieval","score_opus":0.02690803592552184,"score_gpt":0.24837212899463904,"score_spread":0.22146409306911718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604328152","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015915591,0.0977497,0.14213644,0.051084276,0.0021290048,0.000040801973,0.00011920451,0.0003507955,0.6904743],"genre_scores_gemma":[0.7320805,0.06451605,0.07404452,0.008754251,0.00447082,0.00025367682,0.0002846144,0.00070396264,0.114891656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99706334,0.0016532612,0.000106888794,0.00030140675,0.0007037972,0.00017137727],"domain_scores_gemma":[0.9937643,0.0048358236,0.00011607337,0.0007828657,0.00028000172,0.0002208908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042812238,0.0006005386,0.00074703316,0.0027371296,0.002936864,0.010242123,0.0012257029,0.0034924222,0.0075580818],"category_scores_gemma":[0.007831264,0.0006435117,0.00044808615,0.0027483867,0.017820733,0.026785737,0.0054178066,0.007829009,0.0008823797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018726719,0.0000037408442,0.000017740645,0.000012838708,9.910332e-7,0.000011919779,0.0005309467,0.000057987563,0.000023780329,0.99387,0.001343474,0.0041246396],"study_design_scores_gemma":[0.0000014019978,0.000002605743,0.000053066415,0.00006665827,0.0000014261202,0.00005777299,0.00038745676,0.00036237692,0.000064523425,0.9334255,0.06557329,0.000004084089],"about_ca_topic_score_codex":0.0021745316,"about_ca_topic_score_gemma":0.0028368225,"teacher_disagreement_score":0.010242123,"about_ca_system_score_codex":0.003507716,"about_ca_system_score_gemma":0.0016554719,"threshold_uncertainty_score":0.025450408},"labels":[],"label_agreement":null},{"id":"W2604353167","doi":"10.71781/11011","title":"Réduction de dimension pour modèles graphiques probabilistes appliqués à la désambiguïsation sémantique","year":2004,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mathematics","score_opus":0.05912323632179526,"score_gpt":0.32924379452698443,"score_spread":0.27012055820518915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604353167","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0177078,0.0008270114,0.9754606,0.0010820406,0.00014525658,0.00007655892,0.00059571833,0.0014429857,0.0026620405],"genre_scores_gemma":[0.28300852,0.0019102755,0.6955267,0.00044843467,0.00044476637,0.0007169876,0.002695628,0.001721417,0.013527303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949315,0.0021289566,0.00024791993,0.0009039475,0.0014865241,0.00030114432],"domain_scores_gemma":[0.9683746,0.027691334,0.0004587573,0.0017782567,0.0014359845,0.00026108412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004162497,0.0021957,0.00280205,0.0029846774,0.0016291148,0.005345565,0.0022215513,0.0023144467,0.0082222745],"category_scores_gemma":[0.031276427,0.0017524076,0.004824893,0.0024323424,0.0018760791,0.006182967,0.0030229695,0.007672755,0.0017754439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049431133,0.0003161463,0.002800419,0.00048889685,0.00041414375,0.00022431219,0.00056007685,0.5560797,0.003968971,0.2645072,0.008178394,0.1619674],"study_design_scores_gemma":[0.000030134821,0.000022915026,0.00034607007,0.000026334894,0.000039815124,0.000046762612,0.000047956728,0.8959191,0.0012036663,0.099981874,0.0023160644,0.000019245368],"about_ca_topic_score_codex":0.026305804,"about_ca_topic_score_gemma":0.036752596,"teacher_disagreement_score":0.026305804,"about_ca_system_score_codex":0.005093894,"about_ca_system_score_gemma":0.0030461983,"threshold_uncertainty_score":0.05230534},"labels":[],"label_agreement":null},{"id":"W2604602402","doi":"10.3233/978-1-60750-581-5-57","title":"A Multi-INT Semantic Reasoning Framework for Intelligence Analysis Support","year":2010,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Cognitive science; Psychology","score_opus":0.053678298507976334,"score_gpt":0.316352423603934,"score_spread":0.26267412509595767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604602402","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056521734,0.0010342015,0.9633327,0.0016819413,0.00019311433,0.00017188153,0.000209716,0.0021213559,0.030689834],"genre_scores_gemma":[0.020543406,0.0010582806,0.9642334,0.000539259,0.00014730898,0.00028744547,0.00075424893,0.0004161638,0.012020482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99692625,0.0008445577,0.00039742116,0.00041701843,0.0011404525,0.00027435098],"domain_scores_gemma":[0.99888974,0.00042008242,0.000067213885,0.00023405359,0.00024618785,0.00014282284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060986113,0.0016201494,0.0011217427,0.0040679,0.0038561602,0.011813611,0.0054347315,0.0035657657,0.010232116],"category_scores_gemma":[0.0036741358,0.0012345874,0.0032276271,0.0038514996,0.004779972,0.016338404,0.005678905,0.0049811658,0.004948671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013369113,0.000026963218,0.00005547699,0.000097868506,0.000015895363,0.00014896135,0.0003939135,0.0019491917,0.0005040569,0.9597494,0.008482663,0.028562209],"study_design_scores_gemma":[0.000019134603,0.000014824253,0.00006191906,0.00016709956,0.000036474845,0.00037921456,0.00023346781,0.030989505,0.0012426166,0.6956984,0.27112594,0.00003132625],"about_ca_topic_score_codex":0.0075322944,"about_ca_topic_score_gemma":0.011380808,"teacher_disagreement_score":0.011813611,"about_ca_system_score_codex":0.003714952,"about_ca_system_score_gemma":0.0044955383,"threshold_uncertainty_score":0.034229875},"labels":[],"label_agreement":null},{"id":"W2604773590","doi":"10.71781/11043","title":"Feature selection and term weighting beyond word frequency for calls for tenders documents","year":2006,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Call for bids; Weighting; Term (time); Feature (linguistics); Word (group theory); Computer science; Selection (genetic algorithm); Feature selection; Information retrieval; Word lists by frequency; Artificial intelligence; tf–idf; Speech recognition; Natural language processing; Mathematics; Linguistics; Business; Procurement; Acoustics; Marketing","score_opus":0.021901965864187696,"score_gpt":0.3165155822977412,"score_spread":0.2946136164335535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604773590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25219476,0.0062304973,0.7117627,0.0018473385,0.001241416,0.0004851913,0.009664538,0.00590466,0.010668862],"genre_scores_gemma":[0.5743952,0.0015759317,0.38922632,0.00017883592,0.000825702,0.00042583016,0.018734157,0.0009141117,0.013723911],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973333,0.0009012049,0.0003102821,0.00047946826,0.00073875784,0.00023691189],"domain_scores_gemma":[0.99361515,0.00345465,0.0004494998,0.00080669,0.0014774023,0.00019654843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025912246,0.0007713972,0.0010581209,0.0069620977,0.0010092844,0.0027007523,0.0009824346,0.0010780314,0.003932233],"category_scores_gemma":[0.014381261,0.00035416617,0.0013427513,0.0073065534,0.00043432837,0.0034790838,0.0009697501,0.001296731,0.0029161104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084974756,0.00028060476,0.010038173,0.00045645636,0.00018356972,0.00023536943,0.0003173434,0.0065905727,0.023692777,0.006345494,0.02498671,0.9260233],"study_design_scores_gemma":[0.0002782278,0.0007915483,0.10660261,0.00037670071,0.0008535216,0.0018553941,0.0014457611,0.6554874,0.056251764,0.07467127,0.10100902,0.00037682615],"about_ca_topic_score_codex":0.007133604,"about_ca_topic_score_gemma":0.008931043,"teacher_disagreement_score":0.007133604,"about_ca_system_score_codex":0.0009647893,"about_ca_system_score_gemma":0.0014125663,"threshold_uncertainty_score":0.014184177},"labels":[],"label_agreement":null},{"id":"W2606011227","doi":"","title":"Formal proofs of two algorithms for strongly connected components in graphs","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Mathematical proof; Computer science; Algorithm; Mathematics; Geometry","score_opus":0.03405352663281687,"score_gpt":0.26382182917132374,"score_spread":0.22976830253850689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606011227","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007866212,0.00033999555,0.98099124,0.00095517386,0.00013537871,0.00018405462,0.00022798938,0.0012694768,0.008030456],"genre_scores_gemma":[0.19244285,0.00069067004,0.7955397,0.0008925613,0.00017998785,0.0006450649,0.00086661027,0.00088078395,0.007861704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99376374,0.0019127582,0.0004715535,0.0010396239,0.002186478,0.0006257313],"domain_scores_gemma":[0.97605217,0.01775764,0.0008883127,0.0018714417,0.0029312016,0.0004991886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051702345,0.0019464188,0.00073077006,0.0031945717,0.002081034,0.0040166117,0.003404759,0.0023113482,0.0106184175],"category_scores_gemma":[0.028197208,0.0015873059,0.003065032,0.002706883,0.0076959166,0.0071496335,0.0050475546,0.004487628,0.0017548609],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006783614,0.00011656847,0.0003790903,0.0003306103,0.00004870739,0.00019474038,0.000667564,0.00897395,0.0017931706,0.9464389,0.0045927693,0.03639609],"study_design_scores_gemma":[0.00012114396,0.000056293135,0.00025612031,0.00016295454,0.00006754558,0.00028727177,0.00018696109,0.03989842,0.010516511,0.9255485,0.022832867,0.000065395034],"about_ca_topic_score_codex":0.002899494,"about_ca_topic_score_gemma":0.002525898,"teacher_disagreement_score":0.0106184175,"about_ca_system_score_codex":0.0036219365,"about_ca_system_score_gemma":0.0041727284,"threshold_uncertainty_score":0.035522163},"labels":[],"label_agreement":null},{"id":"W2607114163","doi":"10.1007/978-3-319-57351-9_28","title":"Matrix Models with Feature Enrichment for Relation Extraction","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Relationship extraction; Relation (database); Tuple; Exploit; Matrix decomposition; Information retrieval; Data mining; Artificial intelligence; Natural language processing; Mathematics","score_opus":0.027397516664761003,"score_gpt":0.2851953799147949,"score_spread":0.2577978632500339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607114163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034549828,0.00035432333,0.9901794,0.00011115846,0.000054092117,0.000068325135,0.0011733918,0.0034503283,0.0011539673],"genre_scores_gemma":[0.109510735,0.0006241459,0.8741526,0.00016286834,0.00010676848,0.00032338078,0.007913938,0.00070680893,0.006498823],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989214,0.0002180877,0.000093983974,0.00031321688,0.00037515516,0.000078325655],"domain_scores_gemma":[0.99791855,0.001120114,0.000096556956,0.00044055213,0.00037830556,0.000045865534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090844417,0.0011528119,0.0012053141,0.0027522014,0.00078334357,0.0019134596,0.0022547569,0.0009517124,0.009221717],"category_scores_gemma":[0.0056265076,0.0007629487,0.0024648434,0.0038407373,0.0005011547,0.0032240008,0.0020710337,0.0014657925,0.006856955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038552238,0.00024983173,0.0018204763,0.0005851339,0.0003462981,0.00039602508,0.00028402967,0.062164064,0.010638312,0.062601455,0.028666323,0.8318625],"study_design_scores_gemma":[0.000030761537,0.000059929826,0.0004907228,0.00006847623,0.00012998706,0.00029672528,0.00009407593,0.8484848,0.0067264754,0.1240676,0.01951237,0.00003808064],"about_ca_topic_score_codex":0.005378455,"about_ca_topic_score_gemma":0.010416407,"teacher_disagreement_score":0.009221717,"about_ca_system_score_codex":0.00058244355,"about_ca_system_score_gemma":0.0010742004,"threshold_uncertainty_score":0.030849695},"labels":[],"label_agreement":null},{"id":"W2607560879","doi":"10.11575/prism/29080","title":"Institutional Repositories: A Review of Content Recruitment Strategy","year":2006,"lang":"en","type":"review","venue":"PRISM (University of Calgary)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Political science; Public relations","score_opus":0.12601246443185996,"score_gpt":0.2931176535496087,"score_spread":0.16710518911774877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607560879","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007271872,0.96506184,0.002708488,0.022365281,0.001110714,0.0008572225,0.0004939777,0.000080601625,0.006594786],"genre_scores_gemma":[0.0074874745,0.9741906,0.005975208,0.008007628,0.00040839816,0.0017318072,0.0005127157,0.00008254917,0.0016037257],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.94258374,0.027195347,0.009360809,0.0027373033,0.016405707,0.0017171683],"domain_scores_gemma":[0.75167114,0.16298002,0.012432166,0.005716863,0.06377166,0.003428154],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.13788119,0.0012362772,0.0046359585,0.027980123,0.0029682624,0.010539858,0.0061046807,0.004841608,0.0069143865],"category_scores_gemma":[0.19596028,0.0017353988,0.0014367863,0.03370252,0.0054223663,0.012379294,0.006209025,0.0030888356,0.004507736],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092943155,0.00009042298,0.0008427476,0.038385917,0.0000947602,0.000054888835,0.0011437717,0.00014111798,0.00015941384,0.014101218,0.06920739,0.8756854],"study_design_scores_gemma":[0.00006480282,0.00013370224,0.0028429506,0.120950535,0.0003522884,0.00023359105,0.0019319106,0.00015797846,0.00045013358,0.0038429939,0.8689675,0.00007150828],"about_ca_topic_score_codex":0.025338393,"about_ca_topic_score_gemma":0.0619469,"teacher_disagreement_score":0.9894602,"about_ca_system_score_codex":0.021945009,"about_ca_system_score_gemma":0.07584017,"threshold_uncertainty_score":0.72919416},"labels":[],"label_agreement":null},{"id":"W2607961321","doi":"10.1090/dimacs/069","title":"Graphs and Discovery","year":2007,"lang":"en","type":"book","venue":"DIMACS series in discrete mathematics and theoretical computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"History; Computer science; Geography","score_opus":0.009241024057159654,"score_gpt":0.24287856347566222,"score_spread":0.23363753941850257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607961321","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00849608,0.16847916,0.16699755,0.04335681,0.004013746,0.00010780378,0.0011438248,0.0008581923,0.6065468],"genre_scores_gemma":[0.33729926,0.1363992,0.10670932,0.011070146,0.0063597183,0.00048066903,0.0029809945,0.0009702487,0.39773047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999113,0.0003057874,0.000040884177,0.00021821048,0.00026923692,0.00005280457],"domain_scores_gemma":[0.99876714,0.00069497165,0.000064937725,0.0002712567,0.00014163047,0.000060121187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009796754,0.00085299934,0.0011576059,0.0032044763,0.001979746,0.005642545,0.0012232589,0.0019203174,0.015142714],"category_scores_gemma":[0.003218266,0.00066004286,0.00079366064,0.0053574718,0.0067313723,0.012187368,0.0024828918,0.0028558879,0.0044284365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030015754,0.0000053835383,0.000036946833,0.000047284568,0.0000050988447,0.000013227416,0.0001228647,0.00028096774,0.0000313335,0.9686772,0.016926248,0.013850342],"study_design_scores_gemma":[0.0000016162252,0.00000110063,0.000027375223,0.000026398775,0.000002718827,0.0000339804,0.00004690131,0.00035673272,0.000033045235,0.9474689,0.05199849,0.000002724475],"about_ca_topic_score_codex":0.0035912711,"about_ca_topic_score_gemma":0.0032108326,"teacher_disagreement_score":0.015142714,"about_ca_system_score_codex":0.0031455217,"about_ca_system_score_gemma":0.0014433992,"threshold_uncertainty_score":0.05065739},"labels":[],"label_agreement":null},{"id":"W2608491996","doi":"","title":"Capturing Critical Information using The Wearable Intelligent Reporting Environment (WIRE)","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Patrolling; Wearable computer; Computer science; Wearable technology; Human–computer interaction; Field (mathematics); Interface (matter); Situation awareness; Computer security; User interface; Engineering; Embedded system","score_opus":0.05120937160942455,"score_gpt":0.2892148052902893,"score_spread":0.23800543368086477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608491996","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072153784,0.0014175549,0.89678323,0.0007555672,0.00035712702,0.0003542975,0.0009611086,0.009824441,0.017392857],"genre_scores_gemma":[0.36597636,0.0029837687,0.615541,0.0006953058,0.00035073247,0.00047218928,0.0014951526,0.00051261403,0.011972932],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991309,0.000271603,0.00009234176,0.0001709431,0.00026292275,0.00007143176],"domain_scores_gemma":[0.9972717,0.001006605,0.00050498964,0.0006689426,0.00039020152,0.00015750628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010249673,0.00070686825,0.00044493013,0.0010872072,0.00045846257,0.0015936117,0.00089644035,0.0006914895,0.0033382773],"category_scores_gemma":[0.003469523,0.00036414526,0.00034609882,0.00090188836,0.0005006863,0.0027366818,0.0021321694,0.00055227726,0.0016062856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007850778,0.00018161524,0.008416124,0.0014757563,0.00012087492,0.001421094,0.006132821,0.0027021845,0.121036656,0.014430939,0.025788784,0.81750804],"study_design_scores_gemma":[0.00027648624,0.0025157055,0.03146215,0.0015033366,0.00081119424,0.011201656,0.011701886,0.05360026,0.22537261,0.03143589,0.62944376,0.0006751112],"about_ca_topic_score_codex":0.00042460582,"about_ca_topic_score_gemma":0.00058546045,"teacher_disagreement_score":0.0033382773,"about_ca_system_score_codex":0.0001222655,"about_ca_system_score_gemma":0.00032419592,"threshold_uncertainty_score":0.011167645},"labels":[],"label_agreement":null},{"id":"W2609644684","doi":"10.1142/9789813148208_0004","title":"The Arduous Road of Modelling: Excerpts from Records of an Enjoyable Co-operation of Nearly 20 Years","year":2017,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Transport engineering; Computer science; Aeronautics; History; Engineering","score_opus":0.049749007768965105,"score_gpt":0.26443712862538266,"score_spread":0.21468812085641756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609644684","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047608647,0.10105416,0.045353904,0.037202083,0.015212016,0.00023513434,0.012740838,0.0015456656,0.7390475],"genre_scores_gemma":[0.15703343,0.054783218,0.01991547,0.00831788,0.0046581165,0.00034236882,0.011375051,0.0055281585,0.73804635],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990538,0.00025467435,0.00004043299,0.000084951746,0.00051078177,0.000055358712],"domain_scores_gemma":[0.99807775,0.0013640419,0.00010879295,0.00013494668,0.00021580856,0.00009868335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083513284,0.0006645882,0.00045899188,0.003270544,0.0025628593,0.0041046124,0.00077736337,0.00091212866,0.01762742],"category_scores_gemma":[0.005634081,0.00034272068,0.00035260397,0.008690002,0.002322357,0.00563089,0.0026963197,0.0020892224,0.0063222023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012310274,0.000041810006,0.00088362384,0.0011475668,0.000020608664,0.00092938554,0.065103315,0.00031035408,0.0031345608,0.059964456,0.70044714,0.16789408],"study_design_scores_gemma":[0.0000015089951,0.000004458537,0.0010087785,0.00032471927,0.0000028506677,0.00047838144,0.004717828,0.000060383263,0.00020006577,0.003383017,0.9898065,0.000011509004],"about_ca_topic_score_codex":0.0063649216,"about_ca_topic_score_gemma":0.022490166,"teacher_disagreement_score":0.01762742,"about_ca_system_score_codex":0.0014726971,"about_ca_system_score_gemma":0.00091241463,"threshold_uncertainty_score":0.058969617},"labels":[],"label_agreement":null},{"id":"W2610314257","doi":"10.29173/cais111","title":"Potential of Bibliographic Tools for Developing Organizational Taxonomies","year":2014,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Taxonomy (biology); Knowledge organization; Library science; Information science; Domain (mathematical analysis); Computer science; Information retrieval; Classification scheme; Humanities; Philosophy; Mathematics","score_opus":0.04056931098780027,"score_gpt":0.24915035184756268,"score_spread":0.20858104085976242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610314257","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01060093,0.004170252,0.90180683,0.0038891472,0.00043859248,0.0019455816,0.008328402,0.010018803,0.05880151],"genre_scores_gemma":[0.03020156,0.0017606722,0.9575564,0.00018695442,0.00009563707,0.00117425,0.005761694,0.0005528334,0.0027099545],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9768555,0.012385814,0.005294463,0.0011334033,0.0038828081,0.00044803077],"domain_scores_gemma":[0.9038333,0.06024194,0.0067362,0.010982914,0.01672295,0.0014826899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032697573,0.0015891448,0.0017457412,0.08633933,0.0037390292,0.017181812,0.002885332,0.0021269915,0.015164759],"category_scores_gemma":[0.1105879,0.0017443913,0.0026066243,0.058415227,0.0023545385,0.021869432,0.005240104,0.00217983,0.0059230006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001264999,0.00019337927,0.0046699434,0.0036800515,0.00026122353,0.00039053906,0.0076826676,0.004450451,0.001946,0.446641,0.020741967,0.50921625],"study_design_scores_gemma":[0.00015500557,0.00010020796,0.004258958,0.006624858,0.0004153833,0.0005854292,0.009994241,0.04686821,0.004865783,0.33973753,0.5861737,0.000220721],"about_ca_topic_score_codex":0.009115342,"about_ca_topic_score_gemma":0.010182957,"teacher_disagreement_score":0.08633933,"about_ca_system_score_codex":0.005571703,"about_ca_system_score_gemma":0.008029426,"threshold_uncertainty_score":0.17292339},"labels":[],"label_agreement":null},{"id":"W2611263297","doi":"10.1007/978-3-319-59041-7_19","title":"Reflex-SMAS, a Complex Adaptive System: An Empirical Evaluation","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Schema (genetic algorithms); Computer science; Matching (statistics); Schema matching; Artificial intelligence; Reflex; Machine learning; Risk analysis (engineering); Data mining; Psychology; Mathematics; Business; Neuroscience; Data integration","score_opus":0.10244426336975039,"score_gpt":0.3428321532576062,"score_spread":0.2403878898878558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611263297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93163,0.00054568663,0.046856016,0.00027386224,0.00015304751,0.002072021,0.0017483401,0.004583109,0.012137801],"genre_scores_gemma":[0.9391091,0.0003110588,0.051692903,0.0002002521,0.00006555536,0.0018490335,0.0023381554,0.0006077648,0.0038260925],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99587375,0.0022732988,0.00034201326,0.0005747923,0.0008208822,0.000115187155],"domain_scores_gemma":[0.9688192,0.022239652,0.0010409937,0.0043407883,0.002470193,0.0010892195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008378607,0.00092941814,0.0007640706,0.0011715028,0.00083075126,0.0024279002,0.0022823971,0.0013709468,0.011597001],"category_scores_gemma":[0.038025994,0.00043791992,0.0005381715,0.0008533977,0.0018286547,0.0043378198,0.002398225,0.0013283531,0.0029762408],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04591646,0.021403374,0.08018687,0.010087778,0.0014160019,0.00084076036,0.011933933,0.069915794,0.04499793,0.026287938,0.019889498,0.66712373],"study_design_scores_gemma":[0.013076629,0.099751666,0.14729773,0.0013656262,0.004456893,0.0021869051,0.009844763,0.5408242,0.058032956,0.040864058,0.08157491,0.0007236819],"about_ca_topic_score_codex":0.0021907946,"about_ca_topic_score_gemma":0.0016370495,"teacher_disagreement_score":0.011597001,"about_ca_system_score_codex":0.0012139342,"about_ca_system_score_gemma":0.0014328021,"threshold_uncertainty_score":0.044310868},"labels":[],"label_agreement":null},{"id":"W2611551016","doi":"10.4018/jdm.2017010101","title":"Thirty Years Later","year":2017,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scripting language; Ontology; Conceptual model; Rule-based machine translation; Epistemology; Management science; Artificial intelligence; Programming language; Philosophy; Engineering","score_opus":0.03043648919459441,"score_gpt":0.28562134103406855,"score_spread":0.25518485183947415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611551016","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014796636,0.014931474,0.013516319,0.07025253,0.019671237,0.000254068,0.0028719737,0.00065421755,0.86305153],"genre_scores_gemma":[0.060985543,0.0052034394,0.0047934772,0.014530967,0.0014080208,0.00012846821,0.0013732424,0.0003137855,0.9112629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99655235,0.00081513927,0.00021177238,0.00088340126,0.00090435136,0.0006329522],"domain_scores_gemma":[0.99607533,0.0005194293,0.00021120117,0.0006162161,0.0015707382,0.0010070119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004443072,0.00080176146,0.0005576557,0.0027491406,0.004941724,0.007186898,0.0012985083,0.0031277149,0.114772774],"category_scores_gemma":[0.010729128,0.00037888612,0.0007989785,0.002408269,0.0034431673,0.0064587602,0.0056744986,0.0049329833,0.06650177],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016819786,0.000113260605,0.0018581604,0.00017624247,0.000019999656,0.00033526644,0.0038005887,0.00021214626,0.00048494394,0.57612014,0.28191426,0.1347967],"study_design_scores_gemma":[0.0000042889583,0.000015206911,0.00047497315,0.00006839225,0.0000024868673,0.000085451924,0.0004617483,0.00005639927,0.00018377295,0.010348607,0.9882884,0.000010233222],"about_ca_topic_score_codex":0.010017334,"about_ca_topic_score_gemma":0.016572269,"teacher_disagreement_score":0.114772774,"about_ca_system_score_codex":0.007199703,"about_ca_system_score_gemma":0.0057769725,"threshold_uncertainty_score":0.38395315},"labels":[],"label_agreement":null},{"id":"W2611975171","doi":"","title":"Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, July 27 -31, 2014, Québec City, Québec, Canada.","year":2014,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Library science","score_opus":0.08604630794363108,"score_gpt":0.2975613497503107,"score_spread":0.2115150418066796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611975171","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024437543,0.09218087,0.05430368,0.114579156,0.096605405,0.001344626,0.06542428,0.014418903,0.53670555],"genre_scores_gemma":[0.031642225,0.02481332,0.024082692,0.0066494253,0.0029637844,0.00028682634,0.06768815,0.0014700762,0.84040356],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890304,0.00021490584,0.000057367415,0.00014402442,0.0005004479,0.00018013564],"domain_scores_gemma":[0.9944271,0.0005343479,0.000067190034,0.0005178388,0.0036205542,0.0008329093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036898246,0.0014174958,0.0020731192,0.0015654073,0.002590718,0.0063336347,0.002723783,0.0016177271,0.16775692],"category_scores_gemma":[0.004932592,0.0006634551,0.00078792794,0.001692284,0.0014597893,0.0029605115,0.002305247,0.0028663436,0.07544604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008307027,0.000090386384,0.0010346848,0.00010630484,0.00004081329,0.000057171765,0.00007878905,0.00010956777,0.00038861306,0.00056318525,0.9541756,0.04327184],"study_design_scores_gemma":[0.000051902876,0.000033618668,0.006045327,0.00022355586,0.000092380964,0.00010965166,0.0005657072,0.0016815347,0.0008372191,0.0018940606,0.98841596,0.000049093815],"about_ca_topic_score_codex":0.5017916,"about_ca_topic_score_gemma":0.75682485,"teacher_disagreement_score":0.5017916,"about_ca_system_score_codex":0.008794653,"about_ca_system_score_gemma":0.012023443,"threshold_uncertainty_score":0.9977417},"labels":[],"label_agreement":null},{"id":"W2613881681","doi":"","title":"22nd Int. Conference on Automated Reasoning with Analytic Tableaux and Related Methods","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Computer science; Automated reasoning; INT; Programming language","score_opus":0.022102019914588707,"score_gpt":0.27581977274067215,"score_spread":0.25371775282608344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613881681","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00490368,0.054490402,0.86420137,0.008696056,0.009585287,0.0004157334,0.002322123,0.0035865419,0.051798847],"genre_scores_gemma":[0.054803576,0.028561179,0.828313,0.0026156576,0.0060994006,0.00067077664,0.008773786,0.0018952424,0.06826745],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9914936,0.003285535,0.0010094529,0.0015193339,0.002305512,0.00038654532],"domain_scores_gemma":[0.9825842,0.011143334,0.00032563187,0.0035729527,0.0018956454,0.00047821258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0126720285,0.002073206,0.0031559258,0.0038443308,0.0015665785,0.010720664,0.0051494488,0.0028368062,0.04615756],"category_scores_gemma":[0.022223916,0.0016862007,0.0057896697,0.004247141,0.0042690206,0.011771861,0.0052767466,0.0065864855,0.0106469095],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046521856,0.00042069214,0.0008445965,0.0018245336,0.0005553974,0.0002827218,0.00080357457,0.0061243223,0.0020450603,0.27379414,0.19375011,0.51908964],"study_design_scores_gemma":[0.00012080515,0.00011513124,0.0009405838,0.0006840573,0.00028046456,0.00046749623,0.00024784508,0.03954318,0.002194531,0.56143576,0.3938976,0.00007269377],"about_ca_topic_score_codex":0.007220469,"about_ca_topic_score_gemma":0.005246347,"teacher_disagreement_score":0.04615756,"about_ca_system_score_codex":0.004648411,"about_ca_system_score_gemma":0.0045358194,"threshold_uncertainty_score":0.15441245},"labels":[],"label_agreement":null},{"id":"W2614816202","doi":"10.1007/978-3-319-58515-4_27","title":"Collaborative Hybrid Agent Provision of Learner Needs Using Ontology Based Semantic Technology","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Interoperation; Ontology; Context (archaeology); Suite; Presentation (obstetrics); Vocabulary; Intelligent agent; Knowledge management; World Wide Web; Human–computer interaction; Artificial intelligence; Interoperability","score_opus":0.021552919942705376,"score_gpt":0.2734657594785733,"score_spread":0.25191283953586796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614816202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17035393,0.00029765035,0.7855708,0.0007307928,0.000094134884,0.00030884898,0.00014378285,0.0019793299,0.040520724],"genre_scores_gemma":[0.7419254,0.00019814564,0.23451382,0.000110119974,0.00003353985,0.0002973968,0.0003482051,0.00019419349,0.022379108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857235,0.0005766187,0.000101452955,0.00019471417,0.000444506,0.00011039523],"domain_scores_gemma":[0.99807584,0.0010993249,0.00008885733,0.00027453195,0.00030633085,0.00015507505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021030006,0.0005177897,0.0007153834,0.0008675759,0.0013486685,0.003109221,0.0013772643,0.0015100763,0.005176119],"category_scores_gemma":[0.004815682,0.0004279997,0.00074458256,0.00073544035,0.00050388114,0.004459065,0.0046829246,0.0011348546,0.0015993713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018013732,0.0032936481,0.015352272,0.0009539502,0.00040420188,0.0030028187,0.033732407,0.04262781,0.0790436,0.19648375,0.018566063,0.60473806],"study_design_scores_gemma":[0.0002391228,0.00048285522,0.004258258,0.00022829138,0.00044013764,0.001551489,0.012695814,0.68552387,0.056313768,0.13285576,0.105204076,0.00020661537],"about_ca_topic_score_codex":0.001547424,"about_ca_topic_score_gemma":0.002530046,"teacher_disagreement_score":0.005176119,"about_ca_system_score_codex":0.0006416741,"about_ca_system_score_gemma":0.0015352461,"threshold_uncertainty_score":0.017315865},"labels":[],"label_agreement":null},{"id":"W2615447451","doi":"","title":"Results of the Ontology Alignment Evaluation Initiative","year":2006,"lang":"en","type":"preprint","venue":"MADOC (University of Mannheim)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":454,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Defense Advanced Research Projects Agency; Southeast University; Universität Mannheim; Indian Institute of Management Bangalore; Tsinghua University; University of Southampton; Johns Hopkins University; Université du Québec à Montréal; University of the Aegean; University of Washington","keywords":"Ontology; Computer science; Ontology alignment; Information retrieval; Process ontology; Semantic Web; Epistemology","score_opus":0.054432846431095284,"score_gpt":0.24557432288636713,"score_spread":0.19114147645527185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615447451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6328381,0.007766285,0.10417983,0.01911378,0.0021818122,0.0062624705,0.046065293,0.014282199,0.16731022],"genre_scores_gemma":[0.7091016,0.0010673484,0.123911925,0.0038274669,0.000375556,0.0037828556,0.1253295,0.003304269,0.029299513],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.90972304,0.048221458,0.0041445615,0.009369014,0.02447509,0.0040668505],"domain_scores_gemma":[0.8873513,0.042729035,0.004430099,0.017391363,0.040091053,0.008007266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07450881,0.0016487774,0.0014352602,0.0038999356,0.0028543617,0.0062563545,0.0027284746,0.0028946826,0.006478042],"category_scores_gemma":[0.0821601,0.00053887215,0.0012953762,0.003799847,0.002342525,0.005690257,0.00884101,0.0029113905,0.0038303616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007874568,0.021254947,0.05571885,0.0027699966,0.0010109496,0.0005990075,0.009086568,0.007407373,0.017078692,0.039272223,0.31801915,0.5199077],"study_design_scores_gemma":[0.0042548776,0.005845725,0.19365145,0.0010627799,0.0012486593,0.00091252476,0.011451346,0.05760467,0.07599944,0.027256329,0.6202847,0.00042754432],"about_ca_topic_score_codex":0.013822132,"about_ca_topic_score_gemma":0.009279386,"teacher_disagreement_score":0.07450881,"about_ca_system_score_codex":0.005291534,"about_ca_system_score_gemma":0.005984033,"threshold_uncertainty_score":0.39404494},"labels":[],"label_agreement":null},{"id":"W2616150629","doi":"10.1016/j.tcs.2004.10.036","title":"On reasoning about structural equality in XML: a description logic approach","year":2004,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Satisfiability; Feature (linguistics); Description logic; XML; Theoretical computer science; Boolean satisfiability problem; Programming language; Mathematics; Linguistics","score_opus":0.02815735822224639,"score_gpt":0.2811092599757268,"score_spread":0.25295190175348037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616150629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00828399,0.0014513942,0.97844565,0.004267752,0.00017116957,0.00012691184,0.00043910704,0.0004536292,0.0063602817],"genre_scores_gemma":[0.2426615,0.0041178134,0.7405558,0.0025405916,0.0007501148,0.00034469005,0.0025884479,0.00041915601,0.0060218438],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98601705,0.0050293836,0.0019254481,0.0019698646,0.0038736018,0.0011846548],"domain_scores_gemma":[0.973142,0.020867812,0.0010496089,0.0025974256,0.0018291178,0.00051397353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0138638895,0.0017490018,0.0026990937,0.006147148,0.0036501933,0.01027135,0.008722543,0.006325591,0.007329162],"category_scores_gemma":[0.03409026,0.0026718723,0.0071631554,0.00907276,0.010769805,0.05202513,0.009785383,0.007442981,0.0010098977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007499877,0.00009183242,0.0004938975,0.00031745379,0.000119490825,0.00039063723,0.0008266096,0.012281846,0.00055747083,0.9515173,0.0023473736,0.030981107],"study_design_scores_gemma":[0.000029909927,0.000012703744,0.00008168334,0.0000802716,0.00011257014,0.000149811,0.00021731493,0.03149379,0.00089287607,0.9627461,0.004148628,0.00003436343],"about_ca_topic_score_codex":0.015054785,"about_ca_topic_score_gemma":0.011683211,"teacher_disagreement_score":0.015054785,"about_ca_system_score_codex":0.0048885965,"about_ca_system_score_gemma":0.0031506948,"threshold_uncertainty_score":0.07332015},"labels":[],"label_agreement":null},{"id":"W2616888682","doi":"10.29173/cais622","title":"Information in a Local and Global Context","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Context (archaeology); Computer science; History; Archaeology","score_opus":0.013283682916218545,"score_gpt":0.22840088821607138,"score_spread":0.21511720529985284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616888682","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029916307,0.093406886,0.21627948,0.085132234,0.011016325,0.00028532566,0.004786088,0.0020097971,0.5571676],"genre_scores_gemma":[0.43206948,0.056972656,0.16042016,0.0070550186,0.0059380773,0.00022432134,0.010844809,0.0011279634,0.32534757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984785,0.00049740134,0.00012994079,0.0002629333,0.00051506876,0.00011620987],"domain_scores_gemma":[0.997869,0.0006590093,0.00009683305,0.0005026956,0.0006255083,0.00024694783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00250474,0.000530184,0.00070383796,0.0022909008,0.0016085797,0.010265724,0.00091966544,0.0016720982,0.024912491],"category_scores_gemma":[0.0036423479,0.0007062858,0.0005139974,0.0031943044,0.0031002334,0.01403186,0.0037882475,0.002229845,0.00491327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028294596,0.000118681484,0.0025291387,0.00075378496,0.00013084293,0.00061903923,0.0023114793,0.0017977105,0.005052461,0.46596575,0.20232444,0.31811368],"study_design_scores_gemma":[0.000011762109,0.00002368672,0.001815763,0.00037926197,0.00007093149,0.00028062618,0.0010205755,0.0021886944,0.0016631895,0.09379397,0.898718,0.000033519023],"about_ca_topic_score_codex":0.009367565,"about_ca_topic_score_gemma":0.020810267,"teacher_disagreement_score":0.024912491,"about_ca_system_score_codex":0.0023504961,"about_ca_system_score_gemma":0.0026398206,"threshold_uncertainty_score":0.083340645},"labels":[],"label_agreement":null},{"id":"W2616933054","doi":"","title":"Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Annotation; Information retrieval; Categorization; GRASP; World Wide Web; Artificial intelligence","score_opus":0.04404168699802457,"score_gpt":0.2378874058200451,"score_spread":0.19384571882202054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616933054","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01167052,0.05181642,0.66962105,0.05928245,0.040638663,0.0022121866,0.005693298,0.009749453,0.14931594],"genre_scores_gemma":[0.07493537,0.03317271,0.52236336,0.014705549,0.015321656,0.002176276,0.028483413,0.005926794,0.30291486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98510206,0.0070125917,0.0015950785,0.0020782575,0.0032481218,0.00096388155],"domain_scores_gemma":[0.9782809,0.010728984,0.00051598053,0.004258458,0.004642107,0.0015736195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018335225,0.002010369,0.002533849,0.0041176653,0.0022149002,0.013661892,0.004514423,0.0046108956,0.0436498],"category_scores_gemma":[0.023949325,0.0012802344,0.0027786382,0.004426724,0.0040647043,0.021818817,0.006596546,0.007655406,0.018425498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007066851,0.00047438842,0.00045868676,0.0014788843,0.0002146515,0.00036594816,0.003328542,0.0023283805,0.0063839173,0.06786145,0.5574063,0.35899222],"study_design_scores_gemma":[0.00008122309,0.00010983993,0.0006149747,0.00051734236,0.00008105997,0.00027413812,0.0008298189,0.0051335106,0.0025988736,0.03883746,0.9508267,0.00009497426],"about_ca_topic_score_codex":0.008112322,"about_ca_topic_score_gemma":0.008102877,"teacher_disagreement_score":0.0436498,"about_ca_system_score_codex":0.004492635,"about_ca_system_score_gemma":0.0038643067,"threshold_uncertainty_score":0.1460231},"labels":[],"label_agreement":null},{"id":"W2617497052","doi":"10.1007/978-3-319-59888-8_2","title":"Personal Research Agents on the Web of Linked Open Data","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Personalization; World Wide Web; Knowledge base; Semantics (computer science); Profiling (computer programming); Semantic Web; Information retrieval; Linked data; Data science; Programming language","score_opus":0.2825674025639389,"score_gpt":0.40327697917186245,"score_spread":0.12070957660792353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617497052","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019550394,0.0040685344,0.4619417,0.021685174,0.0016214299,0.0003615145,0.000934463,0.006276749,0.48356003],"genre_scores_gemma":[0.19697325,0.0069276965,0.2841598,0.0037233413,0.001955152,0.00053207745,0.0034647253,0.0022037104,0.5000602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99701416,0.0012738645,0.00017990083,0.00033001817,0.0010769609,0.00012513493],"domain_scores_gemma":[0.99405813,0.002381229,0.00035126417,0.0019336847,0.0006417707,0.0006339752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005517732,0.0004514845,0.0005349954,0.0022361916,0.002032594,0.008554884,0.0016640454,0.0026031,0.024484506],"category_scores_gemma":[0.01069273,0.00065197714,0.0005810731,0.0040241233,0.001591929,0.018004049,0.007280784,0.002566259,0.009193438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006184176,0.00011014134,0.0006815763,0.00014552695,0.000042828815,0.0002540888,0.0021604348,0.0020252473,0.0015508715,0.79332155,0.05688859,0.14275731],"study_design_scores_gemma":[0.000024499623,0.000022121705,0.0002901283,0.00013340484,0.000031068106,0.00016748905,0.00056700903,0.00838715,0.0020242948,0.28316084,0.7051672,0.00002489099],"about_ca_topic_score_codex":0.0010378838,"about_ca_topic_score_gemma":0.0016144479,"teacher_disagreement_score":0.024484506,"about_ca_system_score_codex":0.0010997866,"about_ca_system_score_gemma":0.0014921273,"threshold_uncertainty_score":0.08190888},"labels":[],"label_agreement":null},{"id":"W2620945766","doi":"","title":"Proof-search and countermodel generation in propositional BI Logic - extended abstract -","year":2001,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Intuitionistic logic; Intermediate logic; Kripke semantics; Linear logic; Zeroth-order logic; Sequent calculus; Monoid; Autoepistemic logic; Computer science; Well-formed formula; Propositional variable; Semantics (computer science); Interpretation (philosophy); Dynamic logic (digital electronics); Structural proof theory; Kripke structure; Proof theory; Theoretical computer science; Mathematics; Discrete mathematics; Description logic; Programming language; Multimodal logic; Model checking; Mathematical proof","score_opus":0.06139524417993749,"score_gpt":0.30239264882460787,"score_spread":0.24099740464467037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620945766","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031008959,0.00046010365,0.95836574,0.0006734621,0.000062880885,0.00012973278,0.00015850764,0.0012002401,0.007940418],"genre_scores_gemma":[0.5082612,0.0004222281,0.48217097,0.00045351114,0.000055112112,0.00030153175,0.00053290685,0.00038611025,0.0074164183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99586487,0.001478845,0.00029518118,0.0005282678,0.0014003293,0.00043248944],"domain_scores_gemma":[0.99031305,0.006748648,0.0005209649,0.0012331503,0.0009275727,0.00025665507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048595266,0.0007245892,0.0008205633,0.0015739287,0.001721586,0.003868105,0.0022964801,0.0014413471,0.0054514017],"category_scores_gemma":[0.013748843,0.00079143123,0.0018577495,0.0017530825,0.0032206057,0.008426381,0.003806886,0.0028541798,0.001046468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011760671,0.00007145544,0.00068045454,0.00022228109,0.000041448977,0.00026712782,0.00052210834,0.020958422,0.0036654267,0.94843835,0.0010332178,0.023982046],"study_design_scores_gemma":[0.000054184165,0.000044090164,0.00012032087,0.000057498273,0.000052498017,0.00018605863,0.00013138949,0.23771825,0.011454435,0.7435284,0.0066125924,0.000040256615],"about_ca_topic_score_codex":0.004026385,"about_ca_topic_score_gemma":0.0030577122,"teacher_disagreement_score":0.0054514017,"about_ca_system_score_codex":0.0021927475,"about_ca_system_score_gemma":0.0024446272,"threshold_uncertainty_score":0.025699914},"labels":[],"label_agreement":null},{"id":"W262231065","doi":"10.1007/978-3-642-24908-2_12","title":"Knowledgebase Representation Language Interoperation Tool","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Interoperation; Computer science; Representation (politics); Natural language processing; Programming language; Artificial intelligence; World Wide Web; Interoperability","score_opus":0.0285773984239235,"score_gpt":0.2739975121380219,"score_spread":0.24542011371409841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W262231065","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003022864,0.00063946535,0.8734865,0.0010813689,0.00038284584,0.00039960694,0.00746294,0.07262076,0.040903628],"genre_scores_gemma":[0.03658801,0.0017294702,0.8154655,0.0012520549,0.00015276844,0.0008659024,0.061461817,0.015437978,0.06704647],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981406,0.00027240202,0.00036225433,0.00031582976,0.0007840006,0.00012492626],"domain_scores_gemma":[0.9977143,0.0009341758,0.000109859975,0.0006764037,0.00046830537,0.00009702545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029816835,0.0010928009,0.0016203676,0.0075229537,0.0015425076,0.00649742,0.0040003485,0.0021888097,0.038012367],"category_scores_gemma":[0.0075709545,0.0012744422,0.0018422339,0.006944588,0.00066818885,0.010957231,0.0047999616,0.003363598,0.021858938],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020465674,0.00048363936,0.00068437244,0.0009647186,0.00019343378,0.00082789094,0.0009727598,0.0029239347,0.007352429,0.1625441,0.22984073,0.59300727],"study_design_scores_gemma":[0.00010487793,0.00005881553,0.0006045437,0.00059407897,0.00025528795,0.0013076395,0.00034231972,0.030053418,0.025590494,0.08985694,0.85109425,0.00013720088],"about_ca_topic_score_codex":0.002409981,"about_ca_topic_score_gemma":0.0028240895,"teacher_disagreement_score":0.038012367,"about_ca_system_score_codex":0.001157192,"about_ca_system_score_gemma":0.0027400088,"threshold_uncertainty_score":0.127164},"labels":[],"label_agreement":null},{"id":"W2622504599","doi":"10.29173/cais779","title":"Folksonomies: Meaning, Discourse, and Information Retrieval","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Meaning (existential); Library science; Sociology; Humanities; Computer science; Philosophy; Epistemology","score_opus":0.0242145893202791,"score_gpt":0.2477291840363999,"score_spread":0.2235145947161208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622504599","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2873718,0.053787652,0.4779609,0.020324139,0.0012510612,0.0005606125,0.002304792,0.0016588679,0.15478013],"genre_scores_gemma":[0.8151872,0.010484513,0.15515757,0.00079835794,0.0006169793,0.00041575253,0.0016183176,0.00036471052,0.015356554],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935359,0.0037629656,0.000591144,0.0006848208,0.0011956398,0.00022954404],"domain_scores_gemma":[0.9827869,0.013255082,0.0013791684,0.0011795931,0.0011252966,0.00027390095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070946687,0.00053944724,0.0007063504,0.0077811107,0.0031586739,0.011368427,0.0010546804,0.0014598172,0.00497515],"category_scores_gemma":[0.02658716,0.00042731423,0.00052386255,0.009587073,0.006363046,0.021619583,0.0032462906,0.0011738329,0.0009844778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034824942,0.00010846132,0.011048271,0.0018679153,0.00008447419,0.00046826855,0.07063896,0.0019324601,0.0053888876,0.57523507,0.0080861375,0.32479283],"study_design_scores_gemma":[0.000069203496,0.00014677762,0.017332252,0.0015978444,0.00010971623,0.0019969027,0.04892849,0.014179138,0.0062938468,0.6395507,0.2695851,0.00021005321],"about_ca_topic_score_codex":0.0033325583,"about_ca_topic_score_gemma":0.0029774054,"teacher_disagreement_score":0.011368427,"about_ca_system_score_codex":0.002432155,"about_ca_system_score_gemma":0.0019359961,"threshold_uncertainty_score":0.037520647},"labels":[],"label_agreement":null},{"id":"W2622682398","doi":"10.1007/978-3-319-61033-7","title":"Reasoning Web. Semantic Interoperability on the Web","year":2017,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Semantic Web; World Wide Web; Interoperability; Semantic Web Stack; Social Semantic Web; Data Web; Semantic interoperability; Web standards; Semantic analytics; Web service; Information retrieval","score_opus":0.024935772929202273,"score_gpt":0.2662174085267882,"score_spread":0.24128163559758595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622682398","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001944387,0.12017394,0.3148145,0.010503299,0.0064168107,0.00037004633,0.004510456,0.0073358603,0.5339307],"genre_scores_gemma":[0.053692967,0.16352722,0.3068141,0.014327667,0.006707659,0.0007823503,0.030774374,0.0054084975,0.41796508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99890625,0.00014946258,0.00010590107,0.00019107257,0.0005953599,0.000051949977],"domain_scores_gemma":[0.99947613,0.00021489138,0.000045583554,0.0001360095,0.00008922937,0.00003812304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071975694,0.0018716404,0.0013712327,0.0062491456,0.0010461574,0.0060440027,0.001531466,0.0022111107,0.027356036],"category_scores_gemma":[0.0016712935,0.0009794608,0.0017845756,0.0095111,0.0019792467,0.013335878,0.0034114593,0.0034150842,0.02152837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035742596,0.00011664752,0.00019092155,0.0013229764,0.00006298126,0.00025272634,0.00020054475,0.0026772472,0.0013816403,0.41260502,0.20822227,0.37293133],"study_design_scores_gemma":[0.000020276038,0.000010255503,0.0002558168,0.00048489324,0.00003787954,0.0006151864,0.0000937889,0.00465484,0.0008787856,0.49355268,0.4993715,0.000024197887],"about_ca_topic_score_codex":0.0028139825,"about_ca_topic_score_gemma":0.0024863686,"teacher_disagreement_score":0.027356036,"about_ca_system_score_codex":0.0012370186,"about_ca_system_score_gemma":0.0011884572,"threshold_uncertainty_score":0.091515005},"labels":[],"label_agreement":null},{"id":"W2623167216","doi":"","title":"Quality Assessment of the Canadian OpenStreetMap Road Networks","year":2017,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Transport engineering; Environmental science; Computer science; Engineering","score_opus":0.17112288346556365,"score_gpt":0.3687492779000289,"score_spread":0.19762639443446528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623167216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59573907,0.08805639,0.03975954,0.012500695,0.00068543275,0.003793192,0.107295156,0.0006681794,0.1515023],"genre_scores_gemma":[0.87570834,0.035560183,0.040731676,0.00059072464,0.00009757005,0.0008377981,0.03871993,0.00027387825,0.007479857],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9731689,0.002741184,0.0016526505,0.0012883131,0.020542413,0.0006065309],"domain_scores_gemma":[0.8609886,0.017407438,0.008685535,0.0047539095,0.10687496,0.001289583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01852362,0.00058704504,0.00061813876,0.021763064,0.0029906458,0.0048037944,0.0024441446,0.0004342265,0.0016034967],"category_scores_gemma":[0.07650836,0.00036213495,0.0008995638,0.03144215,0.002218179,0.0021890637,0.0022194097,0.00061433256,0.0002626562],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031311554,0.00006824345,0.15270919,0.021297274,0.0007217172,0.0009572978,0.025060644,0.00971387,0.0030740877,0.030098734,0.046743717,0.70924217],"study_design_scores_gemma":[0.000046587786,0.00020641436,0.36285254,0.02088344,0.0020859921,0.0009753287,0.0307058,0.008407638,0.010948576,0.0052439356,0.55724424,0.00039951972],"about_ca_topic_score_codex":0.9152076,"about_ca_topic_score_gemma":0.93698496,"teacher_disagreement_score":0.084792376,"about_ca_system_score_codex":0.038236544,"about_ca_system_score_gemma":0.07773883,"threshold_uncertainty_score":0.27742684},"labels":[],"label_agreement":null},{"id":"W2623409503","doi":"10.5281/zenodo.802939","title":"Segway 2.0 Application Note Scripts","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Scripting language; Benchmarking; Computer science; Directory; Artificial intelligence; Natural language processing; Programming language; Operating system","score_opus":0.04434964130672936,"score_gpt":0.27505499964291297,"score_spread":0.2307053583361836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623409503","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017354055,0.00016442432,0.07234388,0.00031922612,0.00030078413,0.00034178208,0.20879802,0.6989748,0.01702177],"genre_scores_gemma":[0.014529851,0.00020588124,0.08030787,0.0010669174,0.00016442875,0.0024536948,0.41648528,0.44989905,0.034887042],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871504,0.00024669964,0.00012285585,0.00042007762,0.00032523912,0.00017002797],"domain_scores_gemma":[0.996555,0.0012004541,0.000157739,0.000878111,0.0010189987,0.00018960712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023756023,0.0028246336,0.0016521526,0.0019393308,0.0010168537,0.0032479928,0.0041590887,0.0017151362,0.4444598],"category_scores_gemma":[0.010391747,0.0028347594,0.0023021027,0.0016421066,0.00050719595,0.0026333854,0.0025616784,0.002891783,0.32119152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034930513,0.0000540419,0.00085251365,0.0004867964,0.000086053784,0.0001033404,0.00009794948,0.001730112,0.0022404287,0.0022394075,0.9717947,0.019965157],"study_design_scores_gemma":[0.0005335588,0.00010239396,0.004569868,0.00026839308,0.00010985164,0.00030894976,0.0001550874,0.019807588,0.019563368,0.0192507,0.9350753,0.0002549999],"about_ca_topic_score_codex":0.0067651966,"about_ca_topic_score_gemma":0.007082378,"teacher_disagreement_score":0.4444598,"about_ca_system_score_codex":0.0013635461,"about_ca_system_score_gemma":0.0018179674,"threshold_uncertainty_score":0.7924107},"labels":[],"label_agreement":null},{"id":"W2623478391","doi":"","title":"Integrating Scientific Research: Theory and Design of Discovering Similar Constructs","year":2017,"lang":"en","type":"article","venue":"Unimas Institutional Repository (Universiti Malaysia Sarawak)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Similarity (geometry); Schema (genetic algorithms); Ontology; Cognition; Psychology; Computer science; Information retrieval; Judgement; Matching (statistics); Epistemology; Data science; Cognitive science; Cognitive psychology; Artificial intelligence; Mathematics","score_opus":0.059318615483326294,"score_gpt":0.28975173650301234,"score_spread":0.23043312101968605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623478391","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00971426,0.0009193141,0.9760292,0.0029788986,0.0001412787,0.0033967071,0.00024099009,0.0007394018,0.005839975],"genre_scores_gemma":[0.050341047,0.0004896828,0.94268703,0.00040821417,0.00006249299,0.0052507245,0.00034582775,0.00008139623,0.00033360568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.85236007,0.10629341,0.010731475,0.017598309,0.01198797,0.0010288283],"domain_scores_gemma":[0.71419024,0.20992343,0.01300031,0.04539489,0.012802923,0.004688193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.12892224,0.001758587,0.0036252094,0.017323012,0.003711295,0.018146355,0.006706226,0.0043954463,0.007894165],"category_scores_gemma":[0.22855371,0.0028898092,0.0036212553,0.01461363,0.013825389,0.024863152,0.01480103,0.0040701455,0.0023826566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032084002,0.00097315304,0.015002985,0.0060425997,0.0009611575,0.00031353216,0.014632294,0.005871049,0.003114994,0.48156798,0.0044582263,0.4667411],"study_design_scores_gemma":[0.00048439263,0.000636515,0.0045452714,0.0021657369,0.0006542922,0.00048020403,0.0071424074,0.05557714,0.004499849,0.8791699,0.044470493,0.00017380473],"about_ca_topic_score_codex":0.001103498,"about_ca_topic_score_gemma":0.00090848317,"teacher_disagreement_score":0.12892224,"about_ca_system_score_codex":0.0052090515,"about_ca_system_score_gemma":0.015781013,"threshold_uncertainty_score":0.6818141},"labels":[],"label_agreement":null},{"id":"W2625017968","doi":"","title":"Verification and validation of healthcare access control policies","year":2016,"lang":"fr","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Access control; Model checking; Formal verification; Health care; Mathematical proof; Data verification; Verification and validation of computer simulation models; Digitization; Formal methods; Reachability; Runtime verification; Computer security; Software engineering; Database; Programming language; Theoretical computer science; Law","score_opus":0.08097220841625376,"score_gpt":0.34595843961816686,"score_spread":0.2649862312019131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625017968","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060738016,0.001856057,0.8868127,0.0064389347,0.0010103517,0.0027861078,0.0050222813,0.020380624,0.014954912],"genre_scores_gemma":[0.6064049,0.0015093421,0.36997014,0.0022336019,0.00046208338,0.0015952871,0.009033915,0.0015978885,0.0071927584],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.7979149,0.08768831,0.020965815,0.017971829,0.06696475,0.008494391],"domain_scores_gemma":[0.6089988,0.18872952,0.020576673,0.104479775,0.07420984,0.0030053752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.109027974,0.0014673943,0.0024582702,0.0064034355,0.00257011,0.011813661,0.0057238494,0.004252061,0.0066222213],"category_scores_gemma":[0.26516733,0.0015637,0.004058516,0.0030788395,0.006213379,0.013139344,0.007920439,0.0051566185,0.0041458085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003058884,0.0016592479,0.034336347,0.0040481295,0.00095105555,0.0022530633,0.005180793,0.075396635,0.032659046,0.38991684,0.03062505,0.4199149],"study_design_scores_gemma":[0.00081287854,0.00090618926,0.0077333828,0.0032830443,0.0005757281,0.0014069882,0.0020085983,0.4959155,0.1460758,0.21484175,0.125967,0.00047320197],"about_ca_topic_score_codex":0.016139481,"about_ca_topic_score_gemma":0.0058157425,"teacher_disagreement_score":0.109027974,"about_ca_system_score_codex":0.005587688,"about_ca_system_score_gemma":0.03358039,"threshold_uncertainty_score":0.5766019},"labels":[],"label_agreement":null},{"id":"W2625170247","doi":"10.21433/b3118ff033ht","title":"An Ontological Analysis of Water Features","year":2016,"lang":"en","type":"article","venue":"International Conference on GIScience Short Paper Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Geological Survey of Canada","funders":"Natural Resources Canada","keywords":"Computer science","score_opus":0.04134392645026435,"score_gpt":0.3119652729543094,"score_spread":0.27062134650404507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625170247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19417416,0.00075761235,0.5820331,0.005351401,0.00025860965,0.0004192752,0.0026262254,0.00055526086,0.21382439],"genre_scores_gemma":[0.7836146,0.0008498557,0.19683085,0.00043077755,0.00006732039,0.00023023144,0.0028963145,0.00016667884,0.014913411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987851,0.00021601463,0.000090792295,0.00015484847,0.00057656714,0.00017677204],"domain_scores_gemma":[0.9988662,0.0003241769,0.000090138616,0.00020142521,0.00044340032,0.000074635376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011994318,0.00027064863,0.00026856043,0.00487663,0.0024786096,0.004151204,0.00077654974,0.0007034484,0.0026739342],"category_scores_gemma":[0.0030608112,0.00023335268,0.0010797118,0.0041697454,0.0025602535,0.006667065,0.0025000372,0.0010646858,0.00038933373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030227746,0.000045169025,0.003466142,0.00010712241,0.00002544963,0.0005062482,0.0042795083,0.002503994,0.0030276014,0.940178,0.0026037677,0.04322687],"study_design_scores_gemma":[0.000020976411,0.00004327557,0.011147599,0.00036876363,0.00014487962,0.00082971033,0.024532473,0.06670457,0.007144543,0.6031614,0.28583458,0.00006737239],"about_ca_topic_score_codex":0.022999164,"about_ca_topic_score_gemma":0.017086262,"teacher_disagreement_score":0.022999164,"about_ca_system_score_codex":0.0030189035,"about_ca_system_score_gemma":0.003397946,"threshold_uncertainty_score":0.04573059},"labels":[],"label_agreement":null},{"id":"W2625186528","doi":"10.29173/cais1030","title":"News Verification Suite: Towards System Design to Supplement Reporters’ and Editors’ Judgements","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Suite; Excellence; Computer science; Journalism; Quality (philosophy); Data science; Online discussion; World Wide Web; Information retrieval; Political science; Sociology; Media studies","score_opus":0.0369360843915904,"score_gpt":0.2656236415169481,"score_spread":0.2286875571253577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625186528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030158567,0.000114723545,0.9668961,0.00048049132,0.00012324954,0.0005836489,0.00028980567,0.026728367,0.001767757],"genre_scores_gemma":[0.05141817,0.00017752883,0.93705434,0.0004731737,0.0002238632,0.00065531937,0.0023254028,0.0040926654,0.0035795234],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9668441,0.015349792,0.0040801936,0.0046000853,0.00830878,0.0008171321],"domain_scores_gemma":[0.93347657,0.023751663,0.0041421973,0.014746512,0.021756167,0.0021268346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052748706,0.0013380507,0.0020430943,0.0050359033,0.0018681287,0.011045225,0.005388765,0.0029024319,0.008757749],"category_scores_gemma":[0.09430691,0.0019532589,0.0018436243,0.002270229,0.00241836,0.01317386,0.006568657,0.003220174,0.00763229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002032608,0.0009971675,0.011576284,0.0024546979,0.0006188304,0.0013339014,0.0071184305,0.02357462,0.031983025,0.093925625,0.051668778,0.77271605],"study_design_scores_gemma":[0.00047773664,0.00093800534,0.00312191,0.0008605257,0.00064795796,0.0012367934,0.0016004714,0.56103593,0.096992426,0.09126012,0.24132851,0.00049965654],"about_ca_topic_score_codex":0.004326308,"about_ca_topic_score_gemma":0.0028587962,"teacher_disagreement_score":0.052748706,"about_ca_system_score_codex":0.0018458975,"about_ca_system_score_gemma":0.0077426387,"threshold_uncertainty_score":0.27896518},"labels":[],"label_agreement":null},{"id":"W2625291091","doi":"","title":"Results of the Ontology Alignment Evaluation Initiative 2007","year":2007,"lang":"fr","type":"preprint","venue":"MADOC (University of Mannheim)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency; University of the Aegean; Southeast University; Vysoké Učení Technické v Brně; Tsinghua University; Università degli Studi di Milano; University of Southampton; Université du Québec à Montréal; Johns Hopkins University","keywords":"Computer science; Ontology; Ontology alignment; Information retrieval; Process ontology; Semantic Web","score_opus":0.10636717838004729,"score_gpt":0.27784576280111095,"score_spread":0.17147858442106367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625291091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5608787,0.011378025,0.12587517,0.02235229,0.005143582,0.007843665,0.09731443,0.0164037,0.1528105],"genre_scores_gemma":[0.50049627,0.0015735119,0.15046702,0.0045459187,0.0007406941,0.005148666,0.2834994,0.0038401906,0.049688317],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9286686,0.038130265,0.0031356644,0.006431515,0.020865371,0.002768596],"domain_scores_gemma":[0.8940699,0.03552984,0.0033854507,0.014105326,0.04580801,0.0071014664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07216373,0.00189706,0.0016394125,0.004995833,0.0027031512,0.005548696,0.0022530819,0.00268351,0.006856163],"category_scores_gemma":[0.075477645,0.0004962466,0.0014595628,0.0038667358,0.0019302315,0.0046085003,0.0074844123,0.002293124,0.0050082523],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005566673,0.011049637,0.030251706,0.0015706891,0.0008081757,0.00029667877,0.0028688996,0.0043783914,0.008482481,0.019396057,0.60304606,0.31228453],"study_design_scores_gemma":[0.0041875564,0.0047509917,0.15830407,0.0009047827,0.0012943874,0.0007389214,0.0065683504,0.05447804,0.06711435,0.02203972,0.67923397,0.00038483235],"about_ca_topic_score_codex":0.014610706,"about_ca_topic_score_gemma":0.011520469,"teacher_disagreement_score":0.07216373,"about_ca_system_score_codex":0.00482776,"about_ca_system_score_gemma":0.0058529703,"threshold_uncertainty_score":0.38164282},"labels":[],"label_agreement":null},{"id":"W2625308647","doi":"10.82308/52107","title":"Enabling the collective to assist the individual : a self-organising systems approach to social software and the creation of collaborative text signals","year":2008,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Computer science; Software; Social software; Data science; World Wide Web; Sociology; Knowledge management","score_opus":0.03125241067276678,"score_gpt":0.23736448714410432,"score_spread":0.20611207647133756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625308647","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054399744,0.0019177335,0.8509897,0.011747156,0.00021161776,0.0003915799,0.000055459186,0.0008328566,0.07945416],"genre_scores_gemma":[0.68878144,0.0012224622,0.28690276,0.0006264067,0.00018379556,0.00067363377,0.00006488211,0.0002198734,0.021324705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971085,0.0015659325,0.00011054595,0.0004912449,0.0005591287,0.00016464373],"domain_scores_gemma":[0.994449,0.003526073,0.0004163108,0.00066708954,0.00036281484,0.0005786377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035325529,0.00069315213,0.00044795335,0.0025455747,0.0041127778,0.010286918,0.0020983627,0.0031788705,0.0032932907],"category_scores_gemma":[0.0051217824,0.00064654055,0.00086985633,0.0015266169,0.017475769,0.0112651605,0.0060381964,0.0025613215,0.00066301617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004233799,0.000118899596,0.0013726132,0.00026270925,0.00003715432,0.0005289834,0.036215253,0.010668927,0.0029298645,0.89229375,0.0025121847,0.05301726],"study_design_scores_gemma":[0.00008101339,0.0001923645,0.0011551494,0.00026480647,0.00005286519,0.00047317488,0.012144688,0.07551463,0.0034401824,0.735573,0.17100364,0.000104454484],"about_ca_topic_score_codex":0.0035455956,"about_ca_topic_score_gemma":0.0037580284,"teacher_disagreement_score":0.010286918,"about_ca_system_score_codex":0.0038270806,"about_ca_system_score_gemma":0.0031380039,"threshold_uncertainty_score":0.027767539},"labels":[],"label_agreement":null},{"id":"W2626183923","doi":"10.29173/cais431","title":"Development of Search Strategies for E-Referencer, an Expert System Web Interface to Online Catalogs","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interface (matter); World Wide Web; Computer science; The Internet; Repertoire; User interface; Information retrieval; Expert system; Protocol (science); Artificial intelligence","score_opus":0.05433573159351956,"score_gpt":0.298051891999035,"score_spread":0.24371616040551541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626183923","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011854414,0.00046834836,0.9155954,0.00046774402,0.00007462145,0.00228356,0.0014636704,0.043508746,0.024283446],"genre_scores_gemma":[0.031618364,0.00032954582,0.94335747,0.00026021927,0.000021973103,0.00092496286,0.0032549333,0.003529997,0.016702546],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9969216,0.001107778,0.00048549686,0.00032812316,0.0010267564,0.00013022336],"domain_scores_gemma":[0.9929015,0.002723274,0.00023349021,0.0007154267,0.0032104584,0.0002157517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063837003,0.0009381585,0.0010738836,0.003792052,0.0007071276,0.003236494,0.0023363915,0.0014262145,0.015347258],"category_scores_gemma":[0.015501938,0.00086947886,0.0008453497,0.0014670471,0.0005861969,0.0059272917,0.0012889212,0.0011895472,0.012501974],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046694273,0.00068455096,0.0019266388,0.0015706767,0.00010640573,0.0005241179,0.0029112636,0.00488766,0.039175857,0.06402917,0.064657405,0.8190594],"study_design_scores_gemma":[0.00055337744,0.0007180385,0.0049099796,0.0007280727,0.00020744115,0.0015091299,0.0014979369,0.17917164,0.14116383,0.017242268,0.65186805,0.0004302433],"about_ca_topic_score_codex":0.0050377715,"about_ca_topic_score_gemma":0.004220188,"teacher_disagreement_score":0.015347258,"about_ca_system_score_codex":0.0010577937,"about_ca_system_score_gemma":0.0023553283,"threshold_uncertainty_score":0.051341712},"labels":[],"label_agreement":null},{"id":"W2638313803","doi":"","title":"Discovering the Semantics of Relational Tables Through Mappings","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Schema (genetic algorithms); Relational database; Ontology; Entity–relationship model; Information retrieval; Semantics (computer science); Conceptual schema; Relational calculus; Relational model; Programming language","score_opus":0.01996490457210616,"score_gpt":0.22238213644416452,"score_spread":0.20241723187205835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2638313803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03850901,0.00027507855,0.95510817,0.0005105484,0.000058842048,0.00018292456,0.0005726163,0.001965867,0.002816971],"genre_scores_gemma":[0.2810345,0.0006184656,0.71491116,0.00016255099,0.00005499278,0.00018436452,0.0015787432,0.00032635743,0.0011288932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99429566,0.002399346,0.0007609868,0.0008443657,0.0015255316,0.00017403229],"domain_scores_gemma":[0.9835934,0.010370774,0.000905976,0.0030009416,0.0018607016,0.00026809378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004992376,0.0007699354,0.0007255345,0.0038379726,0.0013306431,0.004874395,0.0014763218,0.0012951536,0.0031179192],"category_scores_gemma":[0.027481703,0.00085861783,0.001809335,0.003339596,0.002141771,0.015064236,0.0029558295,0.0013743181,0.00083533826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023742428,0.00020256735,0.009685114,0.00077696965,0.0001977826,0.0014707603,0.004052783,0.031686727,0.0071834135,0.6802509,0.006595449,0.25766006],"study_design_scores_gemma":[0.000056010544,0.00007070706,0.0009334601,0.00027249628,0.00009095172,0.00079676945,0.0014522121,0.197407,0.015816612,0.74826133,0.034783974,0.000058489444],"about_ca_topic_score_codex":0.0015913274,"about_ca_topic_score_gemma":0.0016262974,"teacher_disagreement_score":0.004992376,"about_ca_system_score_codex":0.00089434854,"about_ca_system_score_gemma":0.0014135836,"threshold_uncertainty_score":0.026402533},"labels":[],"label_agreement":null},{"id":"W2647947338","doi":"","title":"Multi-Agent Geosimulation In Support To “What if” Courses Of Action Analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Action (physics); Context (archaeology); Software engineering; Software; Human–computer interaction; Data science; Programming language","score_opus":0.04412845863829209,"score_gpt":0.33694034966937625,"score_spread":0.2928118910310842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2647947338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018698668,0.00002582274,0.9756115,0.00019571069,0.00002323835,0.000102630234,0.000057084864,0.0020508545,0.0032345296],"genre_scores_gemma":[0.35335532,0.000059145175,0.6442899,0.00009778183,0.000018662595,0.00032117523,0.00013848013,0.0003057637,0.0014138115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873334,0.0005798711,0.000092893686,0.0001937733,0.00030441475,0.00009572772],"domain_scores_gemma":[0.99487466,0.0034249597,0.00042400172,0.0006816073,0.00038943964,0.00020525864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029959737,0.0007438315,0.0007069248,0.00076671934,0.001079104,0.0018336286,0.0016740002,0.0009655999,0.0032150703],"category_scores_gemma":[0.008130482,0.0004463807,0.0009769524,0.0004286775,0.0014638061,0.0025932034,0.0024060982,0.0014372345,0.00046263778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028929938,0.0001932678,0.0042316597,0.00019668894,0.00017744675,0.0003036154,0.0011410721,0.7001587,0.0075260894,0.22514173,0.0012539978,0.05938644],"study_design_scores_gemma":[0.000027479871,0.000025539905,0.00014478948,0.00001886099,0.000020165267,0.000025482343,0.00007675395,0.95273125,0.0036178634,0.038137965,0.005157562,0.000016364098],"about_ca_topic_score_codex":0.005843663,"about_ca_topic_score_gemma":0.007881866,"teacher_disagreement_score":0.005843663,"about_ca_system_score_codex":0.0011636408,"about_ca_system_score_gemma":0.0020254508,"threshold_uncertainty_score":0.015844405},"labels":[],"label_agreement":null},{"id":"W2658873110","doi":"10.29173/cais255","title":"Classification, thésaurus, ontologies, folksonomies : comparaison du point de vue de la Recherche Ouverte d’Information (ROI)","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Folksonomy; Ontology; Information retrieval; Relevance (law); Computer science; Formal ontology; Library science; World Wide Web; Upper ontology; Epistemology; Philosophy; Semantic Web; Political science","score_opus":0.10651838153668279,"score_gpt":0.30229441955858205,"score_spread":0.19577603802189925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2658873110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6473655,0.025219977,0.23395985,0.0023206538,0.00023045021,0.0006643207,0.0024158128,0.00092936645,0.08689412],"genre_scores_gemma":[0.8761871,0.0040804846,0.113423675,0.00013619411,0.000060873943,0.00033972095,0.0016135005,0.0002148984,0.003943582],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97570395,0.011645305,0.0025672058,0.0012198304,0.008423262,0.0004404202],"domain_scores_gemma":[0.9142672,0.055806313,0.009236566,0.0056639262,0.014201449,0.00082444266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017967919,0.00052275375,0.0011381648,0.027833106,0.0017136323,0.010173753,0.0008377574,0.0011159872,0.0024027124],"category_scores_gemma":[0.07292814,0.00036925628,0.0007880946,0.025490236,0.0030670697,0.009325388,0.0025046696,0.00079989905,0.0008374195],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009756311,0.00018624633,0.11186224,0.0043654153,0.0009980077,0.00028540115,0.048588913,0.0037487359,0.01470347,0.10182594,0.0037752294,0.70868474],"study_design_scores_gemma":[0.00022076054,0.0011035069,0.50885916,0.0068123396,0.002088943,0.0034311076,0.08790165,0.030745693,0.03952955,0.113435626,0.20523085,0.00064086914],"about_ca_topic_score_codex":0.011737895,"about_ca_topic_score_gemma":0.008412544,"teacher_disagreement_score":0.027833106,"about_ca_system_score_codex":0.0039142435,"about_ca_system_score_gemma":0.0036124382,"threshold_uncertainty_score":0.095024586},"labels":[],"label_agreement":null},{"id":"W2703108944","doi":"10.29173/cais746","title":"Le choix spontané de termes pour l'indexation des images: résultats de recherche","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Philosophy","score_opus":0.09442879767791547,"score_gpt":0.30590199923761224,"score_spread":0.2114732015596968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2703108944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46040416,0.03256904,0.4469476,0.004192105,0.0006961096,0.0014224028,0.003294443,0.003384564,0.047089648],"genre_scores_gemma":[0.47042942,0.010892947,0.4836593,0.0004818556,0.00027956258,0.00095101644,0.005755708,0.0020203318,0.02552997],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9832281,0.007017123,0.001729013,0.0020150414,0.005573522,0.0004372044],"domain_scores_gemma":[0.8782069,0.091545634,0.0024599282,0.006472243,0.020382596,0.000932641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018350933,0.001214984,0.001331958,0.0050315447,0.0018664402,0.005539952,0.0014399634,0.0018704204,0.007860261],"category_scores_gemma":[0.085734285,0.00056219526,0.0018065125,0.006150479,0.0028419164,0.007812081,0.0026949279,0.002713532,0.0022179403],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001436523,0.0011227397,0.015837628,0.004768314,0.00029293806,0.0006853719,0.01895261,0.008970529,0.06673535,0.018268738,0.012453057,0.8504762],"study_design_scores_gemma":[0.0006390626,0.0038580142,0.07570085,0.003161139,0.001752013,0.0041299644,0.047334753,0.18593493,0.28601605,0.039237596,0.35130188,0.00093370664],"about_ca_topic_score_codex":0.018298626,"about_ca_topic_score_gemma":0.020847026,"teacher_disagreement_score":0.018350933,"about_ca_system_score_codex":0.0034807203,"about_ca_system_score_gemma":0.0027556575,"threshold_uncertainty_score":0.09705013},"labels":[],"label_agreement":null},{"id":"W2721506874","doi":"","title":"Correspondances et transformations actives dédiées aux IHM","year":2009,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GRi Simulations (Canada)","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.030821023227040754,"score_gpt":0.27255426442401326,"score_spread":0.2417332411969725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2721506874","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13562141,0.00096819096,0.73893833,0.0014180052,0.0011174752,0.0003171202,0.0022014184,0.012622992,0.10679517],"genre_scores_gemma":[0.5630112,0.0012547235,0.33134615,0.00037749013,0.0005255436,0.0002895629,0.004031718,0.0045515355,0.09461213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967159,0.00076997635,0.00019371044,0.0006226201,0.0013506574,0.00034729557],"domain_scores_gemma":[0.99640864,0.0015755311,0.00014605428,0.0011003165,0.0006488686,0.00012047165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024315387,0.001139396,0.00064743956,0.0024504543,0.0017063025,0.004458449,0.0012685922,0.0012943982,0.014146182],"category_scores_gemma":[0.008350699,0.000642155,0.002562869,0.0022088122,0.0016945275,0.0040884404,0.0030636948,0.003215575,0.0041587315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000948544,0.00038281284,0.0063148313,0.00089161104,0.00022950236,0.0043673865,0.007106218,0.012016429,0.050227813,0.5876132,0.01723627,0.31266537],"study_design_scores_gemma":[0.00014049085,0.00021851284,0.0062593366,0.0002501033,0.00033788686,0.002543421,0.0038856044,0.068741694,0.17648222,0.3455656,0.39542785,0.00014734187],"about_ca_topic_score_codex":0.006327075,"about_ca_topic_score_gemma":0.004132957,"teacher_disagreement_score":0.014146182,"about_ca_system_score_codex":0.0017660259,"about_ca_system_score_gemma":0.0009715983,"threshold_uncertainty_score":0.047323704},"labels":[],"label_agreement":null},{"id":"W2725428559","doi":"10.7717/peerj-cs.121","title":"ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles","year":2017,"lang":"en","type":"article","venue":"PeerJ Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Linked data; RDF; Semantic Web; Workflow; World Wide Web; Information retrieval; Semantic data model; Data science; Semantic technology; Semantic computing; Database","score_opus":0.26248182579626744,"score_gpt":0.4093294126286107,"score_spread":0.14684758683234328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725428559","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063856944,0.002342592,0.74296784,0.0020792738,0.00036423825,0.002522413,0.101102084,0.055711064,0.029053485],"genre_scores_gemma":[0.114760146,0.0012977315,0.76777166,0.0003128346,0.00011740324,0.0012951908,0.10574295,0.0014649013,0.0072372025],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597895,0.0007823214,0.0007528661,0.00090950576,0.0013627126,0.00021369087],"domain_scores_gemma":[0.9918594,0.00311352,0.0011056787,0.0013370398,0.0019791115,0.0006052781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045205816,0.0013199225,0.00070752733,0.01525377,0.0012463572,0.0042523537,0.0013704912,0.00097334944,0.0046627587],"category_scores_gemma":[0.021468531,0.00064459327,0.0018211216,0.0079440605,0.00067078666,0.0057070786,0.0038302522,0.0012087736,0.005510829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004702184,0.00043822717,0.04123174,0.0040521063,0.0003052946,0.0015246472,0.00822391,0.0106886225,0.016747784,0.06353294,0.12230474,0.7304798],"study_design_scores_gemma":[0.0001859194,0.00022117229,0.02275947,0.0013124568,0.0002948746,0.0015096628,0.0047647296,0.2183171,0.048099596,0.09747863,0.6047467,0.00030972192],"about_ca_topic_score_codex":0.008186326,"about_ca_topic_score_gemma":0.0143404,"teacher_disagreement_score":0.01525377,"about_ca_system_score_codex":0.0017382767,"about_ca_system_score_gemma":0.004745504,"threshold_uncertainty_score":0.023907423},"labels":[],"label_agreement":null},{"id":"W2725994932","doi":"","title":"Automated Reasoning for the Dialetheic Logic RM3.","year":2017,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Description logic; Artificial intelligence","score_opus":0.15397810030137565,"score_gpt":0.4385336160314376,"score_spread":0.28455551573006194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725994932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03312809,0.0014866046,0.89865094,0.0037098012,0.00032557515,0.00021078887,0.0023482905,0.0044285334,0.055711336],"genre_scores_gemma":[0.47657555,0.0008212987,0.49631846,0.0015160273,0.00024639253,0.00017558038,0.0053851428,0.00057697034,0.018384634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968754,0.0013752346,0.00022609664,0.0004065928,0.0008573264,0.00025932986],"domain_scores_gemma":[0.99598193,0.002464358,0.00015165747,0.00073886756,0.0005336206,0.00012962008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032126126,0.0005944978,0.0005362938,0.001889276,0.0019463338,0.0033938035,0.0021533198,0.0013143357,0.013584981],"category_scores_gemma":[0.010126865,0.0004693175,0.002664347,0.0011736053,0.0017134234,0.007236332,0.005317335,0.0023538286,0.0023487816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023962904,0.0001594326,0.0008912974,0.00041073785,0.00011398156,0.0003918176,0.0005444611,0.0069604595,0.0033228197,0.87507135,0.018549876,0.09334424],"study_design_scores_gemma":[0.00005514802,0.000022475579,0.0002483907,0.00009106821,0.000059674625,0.00029049563,0.0002513201,0.04361407,0.008042066,0.90907437,0.038224548,0.000026464753],"about_ca_topic_score_codex":0.0036081586,"about_ca_topic_score_gemma":0.005402466,"teacher_disagreement_score":0.013584981,"about_ca_system_score_codex":0.0016551086,"about_ca_system_score_gemma":0.0017084805,"threshold_uncertainty_score":0.045446277},"labels":[],"label_agreement":null},{"id":"W2733107529","doi":"10.29173/cais24","title":"Cartes conceptuelles et thésaurus : essai de comparaison entre deux modèles de représentation issus de différentes traditions disciplinaires","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Philosophy; Art","score_opus":0.03930901959638327,"score_gpt":0.28365370045365,"score_spread":0.24434468085726674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733107529","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08208315,0.068980046,0.619957,0.013233348,0.0010826003,0.00062383,0.0020261817,0.00086049706,0.2111534],"genre_scores_gemma":[0.4682096,0.03815825,0.46073598,0.0017593215,0.00049066084,0.001232094,0.0028225244,0.0008131778,0.02577832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98546994,0.00796652,0.0013167476,0.0012905721,0.0036501004,0.00030596237],"domain_scores_gemma":[0.9843374,0.009894694,0.0009543085,0.0021106717,0.0024594495,0.00024343513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014651251,0.0010774846,0.0011617562,0.020143455,0.0028307578,0.018729579,0.0020424128,0.0027351817,0.0059007723],"category_scores_gemma":[0.024476565,0.00089050166,0.0014857909,0.02017307,0.012876076,0.024793122,0.004323442,0.0028027417,0.0016464478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009456412,0.00003394281,0.0020973405,0.0011855904,0.00016162169,0.0002609304,0.045758042,0.0014902002,0.0015925649,0.82543576,0.0033635143,0.11852592],"study_design_scores_gemma":[0.000046249523,0.00013045147,0.010143548,0.004037869,0.00022134151,0.0019636243,0.040791523,0.009104286,0.0030084578,0.46535963,0.46491802,0.00027495765],"about_ca_topic_score_codex":0.017871121,"about_ca_topic_score_gemma":0.011617718,"teacher_disagreement_score":0.020143455,"about_ca_system_score_codex":0.008192961,"about_ca_system_score_gemma":0.006999134,"threshold_uncertainty_score":0.07748419},"labels":[],"label_agreement":null},{"id":"W2734681559","doi":"","title":"EB4 : Vers une méthode combinée de spécification formelle des systèmes d'information","year":2004,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Physics","score_opus":0.03196290874790197,"score_gpt":0.238236016680219,"score_spread":0.206273107932317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734681559","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001446675,0.000091632304,0.992892,0.00012703665,0.00005963089,0.00010350587,0.00012776746,0.0033606656,0.0017911878],"genre_scores_gemma":[0.02179963,0.00027318465,0.95503944,0.0001780471,0.000054723383,0.00045959855,0.0009313926,0.0036862066,0.017577818],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98948765,0.0027265535,0.00091360597,0.0011620476,0.0052570435,0.00045311608],"domain_scores_gemma":[0.99314356,0.004093786,0.00020470226,0.001109025,0.0012893842,0.00015950183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00828042,0.0032505845,0.002208415,0.003257386,0.001702973,0.0074804323,0.0027587768,0.0037379374,0.025300143],"category_scores_gemma":[0.017398303,0.0033221517,0.0052304096,0.0018990464,0.0029724326,0.007100411,0.0045722127,0.0053659496,0.007820731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012957099,0.00035386474,0.0031481069,0.0027250128,0.00087241334,0.001740055,0.0052918307,0.05925235,0.0439262,0.28950068,0.02532124,0.5665726],"study_design_scores_gemma":[0.0007313821,0.0003212315,0.001511713,0.0010121879,0.0005814056,0.0012032989,0.0012292239,0.3576669,0.099025175,0.10793443,0.42848524,0.0002978986],"about_ca_topic_score_codex":0.02929177,"about_ca_topic_score_gemma":0.022948587,"teacher_disagreement_score":0.02929177,"about_ca_system_score_codex":0.0028168529,"about_ca_system_score_gemma":0.00402623,"threshold_uncertainty_score":0.0846374},"labels":[],"label_agreement":null},{"id":"W2734805260","doi":"","title":"Logiciels de construction de cartes de connaissances : des outils pour apprendre","year":2005,"lang":"fr","type":"preprint","venue":"R-libre (Université Téluq)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Humanities; Context (archaeology); Cartography; Computer science; Geography; Art","score_opus":0.044185487063524286,"score_gpt":0.24456456040292102,"score_spread":0.20037907333939672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734805260","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0075328867,0.0018043446,0.9358283,0.0032701015,0.00033257375,0.00015173136,0.0003905108,0.0012712281,0.04941826],"genre_scores_gemma":[0.16074176,0.004376211,0.7860241,0.00083182234,0.00037442107,0.00049878506,0.0010163677,0.0010354654,0.045101073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955112,0.0020026078,0.00033403223,0.0007133092,0.0011605558,0.00027832703],"domain_scores_gemma":[0.9947509,0.0032285315,0.00020954257,0.00071049575,0.0009282346,0.00017226017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005159356,0.0014909124,0.00070594525,0.0040414254,0.0023763098,0.0097466055,0.0018114747,0.0019459511,0.0192511],"category_scores_gemma":[0.010346056,0.0009224579,0.002957522,0.003818428,0.008161574,0.015698154,0.003444588,0.0044303443,0.0043554124],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003185321,0.000021517513,0.0003402426,0.00024049744,0.000020894071,0.000239579,0.0016038608,0.0026709784,0.0011620899,0.943858,0.0038083263,0.046002187],"study_design_scores_gemma":[0.000031565956,0.00006548963,0.00074674445,0.00041657072,0.000044133594,0.0007359445,0.0019617684,0.025540803,0.0051315874,0.65816665,0.3070574,0.00010130153],"about_ca_topic_score_codex":0.0094665745,"about_ca_topic_score_gemma":0.0074158874,"teacher_disagreement_score":0.0192511,"about_ca_system_score_codex":0.00408912,"about_ca_system_score_gemma":0.002191056,"threshold_uncertainty_score":0.06440139},"labels":[],"label_agreement":null},{"id":"W2734810806","doi":"","title":"Méthodologie assistée de conception d'une ontologie à partir d'une conceptualisation consensuelle semi-formelle","year":2009,"lang":"fr","type":"preprint","venue":"R-libre (Université Téluq)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Philosophy; Humanities; Computer science","score_opus":0.10458162406874058,"score_gpt":0.28878966502088943,"score_spread":0.18420804095214885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734810806","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036354982,0.00015595499,0.98981607,0.00030116667,0.00008085239,0.00034154562,0.00018921086,0.0009562572,0.0045233476],"genre_scores_gemma":[0.035950933,0.00034315875,0.9532949,0.00012014328,0.00003218838,0.0005779684,0.0006206447,0.0007148245,0.008345243],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9884,0.004585719,0.0011117876,0.0016267627,0.004006963,0.0002687964],"domain_scores_gemma":[0.9801081,0.010561021,0.00061423465,0.0046591167,0.0037932503,0.0002643343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009220127,0.0014402234,0.00096578023,0.003655825,0.0017111901,0.0074534616,0.001786721,0.001525461,0.011397318],"category_scores_gemma":[0.022506766,0.0011424588,0.002859517,0.0017987561,0.003385387,0.006505838,0.0045095123,0.0038526906,0.0030583194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003083902,0.00034422285,0.004365908,0.002482414,0.00026408344,0.0011171183,0.027807822,0.0067168865,0.058965806,0.41542813,0.008112836,0.47408646],"study_design_scores_gemma":[0.000153401,0.0002352192,0.003880612,0.001123257,0.00019875601,0.0023994383,0.008932233,0.04728437,0.08076056,0.22938442,0.6253731,0.00027454735],"about_ca_topic_score_codex":0.0048820684,"about_ca_topic_score_gemma":0.0051234644,"teacher_disagreement_score":0.011397318,"about_ca_system_score_codex":0.0018457763,"about_ca_system_score_gemma":0.0043365946,"threshold_uncertainty_score":0.04876125},"labels":[],"label_agreement":null},{"id":"W2736591091","doi":"","title":"Les ontologies : Construction, Alignement et utilisation","year":2009,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science","score_opus":0.03815542515950123,"score_gpt":0.26438853278532304,"score_spread":0.2262331076258218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736591091","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044956442,0.0054013855,0.91533554,0.0065911436,0.00056920905,0.00026381764,0.0010736187,0.0028508261,0.022958077],"genre_scores_gemma":[0.2971918,0.007181994,0.674845,0.0008227811,0.0003748314,0.0003498771,0.0040093013,0.0016159294,0.01360849],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98513746,0.0057937433,0.0019103368,0.0018181866,0.0048750653,0.00046516463],"domain_scores_gemma":[0.9886049,0.004140058,0.00090193027,0.0032950963,0.0027354117,0.00032265822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011428953,0.00092602964,0.0010456578,0.006460171,0.0026750586,0.010051443,0.0016784655,0.0030948191,0.0033892293],"category_scores_gemma":[0.027828332,0.0012229979,0.0017781248,0.009076258,0.004470729,0.0157333,0.004395864,0.0043044942,0.0020443217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016324039,0.00017154659,0.005445883,0.00054501387,0.00014257904,0.00070032175,0.004982234,0.00875138,0.012880477,0.5217487,0.011555657,0.43291295],"study_design_scores_gemma":[0.00006415343,0.00009406473,0.007761263,0.0009409107,0.0002531928,0.0015176618,0.004229552,0.08859086,0.036456194,0.3942434,0.46568096,0.00016783555],"about_ca_topic_score_codex":0.010987026,"about_ca_topic_score_gemma":0.006189455,"teacher_disagreement_score":0.011428953,"about_ca_system_score_codex":0.0036602553,"about_ca_system_score_gemma":0.005545508,"threshold_uncertainty_score":0.060442805},"labels":[],"label_agreement":null},{"id":"W2736702181","doi":"","title":"Bridging across scientific disciplines and societal sectors: Examples for actionable knowledge generation from Future Earth's Knowledge-Action Networks","year":2017,"lang":"en","type":"article","venue":"Japan Geoscience Union","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Bridging (networking); Sociology of scientific knowledge; Data science; Action (physics); Knowledge management; Computer science; Sociology; Physics; Social science","score_opus":0.07036725235832812,"score_gpt":0.33920919018341467,"score_spread":0.26884193782508653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736702181","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069777794,0.0007873108,0.77542096,0.013266133,0.0002990898,0.0004260786,0.0005149409,0.00086789695,0.13863984],"genre_scores_gemma":[0.5644085,0.00066459784,0.419249,0.0005326384,0.000039824106,0.00038401916,0.0008521374,0.00019620139,0.013673034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969331,0.0017558072,0.00017587942,0.0003707499,0.0005444047,0.00021995668],"domain_scores_gemma":[0.9904327,0.005923733,0.00043149598,0.0017349086,0.0010088653,0.00046829155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007008141,0.00054479815,0.00032594413,0.002245344,0.003541046,0.004881348,0.0020488873,0.0034293646,0.010048146],"category_scores_gemma":[0.018375503,0.000358424,0.00075602136,0.0036808287,0.0032211354,0.012492557,0.00802015,0.001972396,0.0014590007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010487851,0.00014875608,0.0028460051,0.00029558147,0.0000340267,0.0016813448,0.015377114,0.00667823,0.0026302687,0.83483547,0.007461808,0.12790641],"study_design_scores_gemma":[0.000040754836,0.000036469184,0.0011706853,0.00025317917,0.000048286827,0.0005542798,0.009938505,0.03382713,0.0034731873,0.825475,0.12514491,0.00003753287],"about_ca_topic_score_codex":0.0033539988,"about_ca_topic_score_gemma":0.0038693412,"teacher_disagreement_score":0.010048146,"about_ca_system_score_codex":0.0014103706,"about_ca_system_score_gemma":0.0027307994,"threshold_uncertainty_score":0.037063003},"labels":[],"label_agreement":null},{"id":"W2737322490","doi":"10.29173/cais750","title":"Mapping the 21st Century Information Landscape: Borders, Bridges and Byways","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geography; Earth science; Archaeology; Physical geography; Library science; Computer science; Geology","score_opus":0.016696428251924363,"score_gpt":0.22139175697394145,"score_spread":0.2046953287220171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737322490","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22066295,0.07312287,0.27298763,0.120742045,0.0026313688,0.00036014616,0.0059773233,0.0018912323,0.3016244],"genre_scores_gemma":[0.8015977,0.021024343,0.14495514,0.0020366807,0.00030453355,0.00015500344,0.0035488273,0.00077688205,0.025600951],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985367,0.00065757387,0.00011193513,0.00022846354,0.00033651182,0.00012881715],"domain_scores_gemma":[0.99710876,0.0012275779,0.0002466752,0.00043914217,0.00069249823,0.00028533945],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0027456537,0.00042242673,0.0004603022,0.0044782585,0.002745509,0.013253624,0.0010147681,0.0017654931,0.008691818],"category_scores_gemma":[0.00939074,0.0005430083,0.00041642762,0.00988426,0.0038875514,0.026445225,0.00567172,0.0016134207,0.0010233672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011462104,0.000081880666,0.017773371,0.0007548626,0.0000922291,0.00037896386,0.019763252,0.0024873496,0.0015579417,0.40997088,0.07502414,0.47200054],"study_design_scores_gemma":[0.00001099283,0.000024631969,0.012242242,0.0009363965,0.000062327585,0.0003129833,0.038999025,0.0038227513,0.001039695,0.28496388,0.6575389,0.000046327517],"about_ca_topic_score_codex":0.026654232,"about_ca_topic_score_gemma":0.05784991,"teacher_disagreement_score":0.9867464,"about_ca_system_score_codex":0.003099909,"about_ca_system_score_gemma":0.0041722865,"threshold_uncertainty_score":0.052998185},"labels":[],"label_agreement":null},{"id":"W2737458797","doi":"","title":"Exploratory Interaction With Information Through Visualization and Semantics: Designing a Visual User Interface Using the UNESCO Multilingual Thesaurus","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thesaurus; Interface (matter); Visualization; User interface; Computer science; World Wide Web; Information retrieval; Human–computer interaction; Artificial intelligence","score_opus":0.02821896746658959,"score_gpt":0.27779804801618907,"score_spread":0.24957908054959949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737458797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059022475,0.00043216883,0.9171511,0.0009934828,0.0000605063,0.00035410392,0.0002697338,0.0050744847,0.016642006],"genre_scores_gemma":[0.25511193,0.0005395639,0.73504704,0.00031884678,0.000036453384,0.00060660695,0.00043354102,0.0013378012,0.006568209],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99896336,0.00054115255,0.00008182901,0.00014343738,0.00020776881,0.0000624494],"domain_scores_gemma":[0.99674326,0.002576161,0.000110573346,0.00015507684,0.00028325708,0.00013161852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031882976,0.00067562034,0.00046361474,0.0017349487,0.0008284864,0.0037802984,0.00088033656,0.0010950243,0.00501309],"category_scores_gemma":[0.009122585,0.0005198975,0.0007958698,0.00095705094,0.0011391009,0.0042433375,0.0037624403,0.00056583603,0.0010888085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012661132,0.00027776248,0.007035012,0.002463879,0.0001738762,0.003437388,0.1612645,0.008205857,0.15554717,0.08005977,0.02053456,0.5597342],"study_design_scores_gemma":[0.00048428978,0.00078297424,0.008756963,0.0021363632,0.00033309552,0.004300281,0.026728248,0.10243356,0.07797778,0.07723892,0.69823426,0.00059336826],"about_ca_topic_score_codex":0.0014372756,"about_ca_topic_score_gemma":0.0015700497,"teacher_disagreement_score":0.00501309,"about_ca_system_score_codex":0.00047033388,"about_ca_system_score_gemma":0.00076838845,"threshold_uncertainty_score":0.016861558},"labels":[],"label_agreement":null},{"id":"W2739457930","doi":"10.1007/978-3-319-63558-3_22","title":"Mining Schema Knowledge from Linked Data on the Web","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Computer science; Exploit; Schema (genetic algorithms); Linked data; Information retrieval; Cluster analysis; Knowledge extraction; Reuse; Data mining; Semantic Web; World Wide Web; Data science; Artificial intelligence","score_opus":0.08552617274203135,"score_gpt":0.3032911664725141,"score_spread":0.21776499373048275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739457930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11528167,0.0075959754,0.8485954,0.0021479228,0.00028165,0.0006637976,0.010331417,0.004860731,0.010241446],"genre_scores_gemma":[0.21984543,0.00837866,0.72560906,0.00044048135,0.00016065226,0.00031636702,0.040684015,0.00056777743,0.0039975364],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750334,0.00044805845,0.0003382397,0.00047902027,0.001103838,0.00012757945],"domain_scores_gemma":[0.9959096,0.0024177174,0.0003440266,0.00077742344,0.00042137556,0.00012984574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020784906,0.000909237,0.0011124451,0.011362127,0.0011325394,0.0058891336,0.0019988841,0.0015464931,0.0025109448],"category_scores_gemma":[0.01279971,0.0009699298,0.002320145,0.01254863,0.0010767617,0.010513271,0.0040449505,0.0020586692,0.001425976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019183416,0.0006062386,0.016828459,0.0019727952,0.0009638785,0.0026054974,0.0023548338,0.025534783,0.010498942,0.060162112,0.01978269,0.8584979],"study_design_scores_gemma":[0.0000768032,0.00012642062,0.009375274,0.0018311017,0.00090140424,0.0025729334,0.0038149646,0.36378652,0.03249239,0.48587,0.09901335,0.00013876791],"about_ca_topic_score_codex":0.0029838204,"about_ca_topic_score_gemma":0.0053866594,"teacher_disagreement_score":0.011362127,"about_ca_system_score_codex":0.0009506194,"about_ca_system_score_gemma":0.0019715785,"threshold_uncertainty_score":0.010992229},"labels":[],"label_agreement":null},{"id":"W2740685648","doi":"10.5220/0006471701860198","title":"Employing Linked Data in Building a Trace Links Taxonomy","year":2017,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; TRACE (psycholinguistics); Taxonomy (biology); Data science; Information retrieval; Ecology; Biology","score_opus":0.17870985427220892,"score_gpt":0.34319302093556925,"score_spread":0.16448316666336033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740685648","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015848277,0.00029106566,0.9731487,0.00037560982,0.0000708173,0.00044657802,0.0021615059,0.0017165368,0.0059409817],"genre_scores_gemma":[0.06812279,0.0004631516,0.9231797,0.00010176924,0.000020640568,0.0002676947,0.0050819274,0.00021583334,0.0025464352],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963397,0.0008691077,0.0005787888,0.00054386776,0.0014462334,0.00022237201],"domain_scores_gemma":[0.99076337,0.0029759684,0.00076620176,0.002269025,0.002794364,0.0004311114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042996756,0.00057072705,0.00067048694,0.018944276,0.0033627814,0.0049580396,0.0017865883,0.0015543182,0.0031704216],"category_scores_gemma":[0.018820934,0.0006636692,0.0017959567,0.011924035,0.0012486392,0.009696912,0.0046660523,0.0020705971,0.0020706977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020655646,0.000685592,0.032740165,0.0014877138,0.00032035922,0.0013568071,0.0055402457,0.035790343,0.01061593,0.2862665,0.011857936,0.6131319],"study_design_scores_gemma":[0.00004650253,0.00020005096,0.006024137,0.0016541835,0.00047167522,0.0010501673,0.004392115,0.3254569,0.02140322,0.4383801,0.20073086,0.0001902359],"about_ca_topic_score_codex":0.021712875,"about_ca_topic_score_gemma":0.038912278,"teacher_disagreement_score":0.021712875,"about_ca_system_score_codex":0.001665828,"about_ca_system_score_gemma":0.007655229,"threshold_uncertainty_score":0.043172956},"labels":[],"label_agreement":null},{"id":"W2741321313","doi":"10.3166/isi.22.1.43-64","title":"Du contrôle de la collaboration humaine vers des contrats de service sémantiques pour la sécurité de l'information","year":2017,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Formalism (music); Computer science; Syntax; Confidentiality; Domain (mathematical analysis); Knowledge management; Computer security; Artificial intelligence; Mathematics","score_opus":0.01528838474761654,"score_gpt":0.2642344062520274,"score_spread":0.24894602150441084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741321313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19008502,0.0012427889,0.76578903,0.0020333987,0.00033637305,0.000255893,0.00015755957,0.005446656,0.034653254],"genre_scores_gemma":[0.93985826,0.00028679954,0.047579776,0.00017546037,0.000096485775,0.00017487736,0.00008865058,0.00045500393,0.011284693],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98905736,0.003821441,0.00031099826,0.0017381214,0.0043998403,0.00067212223],"domain_scores_gemma":[0.96987647,0.020647172,0.0022219063,0.0020618136,0.003928964,0.001263641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00792734,0.0012553057,0.0010372867,0.0019396612,0.0013454746,0.010126186,0.0011429546,0.0022081481,0.005807224],"category_scores_gemma":[0.03006383,0.0006584972,0.0008442819,0.0009467716,0.0023740488,0.0050270683,0.0021839484,0.0025001348,0.0012107902],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054198974,0.0012345744,0.011817975,0.00091935834,0.0005191914,0.00087553624,0.006837602,0.18918663,0.21188216,0.19294341,0.006830608,0.37153292],"study_design_scores_gemma":[0.0002394732,0.0006628312,0.005817107,0.000120592114,0.00011113302,0.0002955423,0.0014925724,0.86407167,0.070897914,0.038239352,0.0179291,0.0001227462],"about_ca_topic_score_codex":0.013552405,"about_ca_topic_score_gemma":0.0073986733,"teacher_disagreement_score":0.013552405,"about_ca_system_score_codex":0.002702199,"about_ca_system_score_gemma":0.002994322,"threshold_uncertainty_score":0.041924298},"labels":[],"label_agreement":null},{"id":"W2742078084","doi":"10.29173/cais927","title":"Research on Serendipity: The Methodological Challenges of Time and Language","year":2016,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Serendipity; Humanities; Psychology; Sociology; Art; Philosophy; Epistemology","score_opus":0.19024142345869585,"score_gpt":0.3650781592197171,"score_spread":0.17483673576102124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742078084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92798585,0.0032003873,0.031216552,0.0053997347,0.00026379188,0.00046875203,0.00023970926,0.000053560583,0.031171542],"genre_scores_gemma":[0.9911186,0.00084887265,0.004580541,0.0006246779,0.00005039604,0.00068398094,0.00007920158,0.00006656491,0.0019471671],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9600641,0.030320892,0.0018599764,0.0030049921,0.0027894434,0.0019605737],"domain_scores_gemma":[0.89847475,0.07140609,0.011815724,0.009026576,0.006815408,0.002461475],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.050530158,0.00086683757,0.0008249572,0.007766832,0.008658402,0.01001792,0.0021844713,0.0011386907,0.005772332],"category_scores_gemma":[0.08887248,0.0008050231,0.00059774885,0.0064132093,0.018517284,0.013178157,0.013924688,0.002447011,0.0006783773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013597922,0.000049290087,0.021420673,0.00060610386,0.000034534423,0.00048069347,0.9229545,0.000104103594,0.0013996551,0.022320537,0.00083599065,0.029657966],"study_design_scores_gemma":[0.000018095492,0.000106305866,0.017442694,0.0009890901,0.000045914545,0.0005187706,0.93476415,0.0003399161,0.0020135867,0.01140612,0.03229865,0.00005668776],"about_ca_topic_score_codex":0.0045440923,"about_ca_topic_score_gemma":0.008849491,"teacher_disagreement_score":0.94946986,"about_ca_system_score_codex":0.004154253,"about_ca_system_score_gemma":0.004709338,"threshold_uncertainty_score":0.26723218},"labels":[],"label_agreement":null},{"id":"W2742499748","doi":"","title":"Precision and Recall: An Ontological Perspective / Précision et rappel: un point de vue ontologique","year":2017,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recall; Humanities; Precision and recall; Interpretation (philosophy); Context (archaeology); Psychology; Computer science; Philosophy; Artificial intelligence; Cognitive psychology; Linguistics","score_opus":0.04329913840429871,"score_gpt":0.2892589015054894,"score_spread":0.24595976310119066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742499748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11606023,0.04542709,0.74691975,0.032756794,0.0011940391,0.00024610848,0.0017583155,0.0017563578,0.053881284],"genre_scores_gemma":[0.75975317,0.005957828,0.22409536,0.0020089373,0.0018280301,0.0002997863,0.00081888697,0.00055836205,0.004679529],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.89635164,0.03767096,0.011599639,0.012156271,0.040360823,0.0018606298],"domain_scores_gemma":[0.7017045,0.2539672,0.009634216,0.013488556,0.02004895,0.0011565051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.052921135,0.0014558481,0.0028201768,0.025104942,0.003588293,0.02657317,0.0026788982,0.0041822577,0.0023372164],"category_scores_gemma":[0.17546314,0.0014792377,0.002420276,0.012268484,0.010026701,0.034126364,0.005892468,0.0052009807,0.0006934038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008427315,0.00018994752,0.032644667,0.0022698203,0.001514952,0.00048328692,0.009087099,0.0085236505,0.006533683,0.39897242,0.010642832,0.528295],"study_design_scores_gemma":[0.00011251564,0.00039185458,0.03190023,0.0018995058,0.0016319607,0.0023633644,0.00753302,0.048918616,0.021829344,0.8334983,0.04942944,0.00049179303],"about_ca_topic_score_codex":0.0060383053,"about_ca_topic_score_gemma":0.0045402483,"teacher_disagreement_score":0.052921135,"about_ca_system_score_codex":0.005927129,"about_ca_system_score_gemma":0.0045976136,"threshold_uncertainty_score":0.27987707},"labels":[],"label_agreement":null},{"id":"W2742566035","doi":"10.1108/bepam-11-2016-0061","title":"An eco asset ontology towards effective eco asset management","year":2017,"lang":"en","type":"article","venue":"Built Environment Project and Asset Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cumulative Environmental Management Association","funders":"","keywords":"Ontology; Computer science; IT asset management; Asset (computer security); Asset management; Knowledge management; Risk analysis (engineering); Alternative asset; Business; Consumption-based capital asset pricing model; Computer security; Capital asset pricing model; Finance","score_opus":0.01953844444456498,"score_gpt":0.29235903420718057,"score_spread":0.2728205897626156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742566035","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012741052,0.00061345747,0.9166353,0.0033120562,0.00018439213,0.00038901303,0.00064803206,0.0005489885,0.064927705],"genre_scores_gemma":[0.12261472,0.0013190985,0.86384904,0.0007247031,0.000060296017,0.000478717,0.0016928856,0.00018680269,0.009073808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969805,0.0010282831,0.00044047143,0.00030952902,0.0010287726,0.00021242011],"domain_scores_gemma":[0.99671835,0.00083011424,0.0003253668,0.0008457493,0.0010712082,0.00020921987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036996363,0.00051997975,0.00042511575,0.0036948693,0.0015177889,0.005351387,0.001953795,0.0014511973,0.0026254198],"category_scores_gemma":[0.0058234646,0.00044810562,0.0011499089,0.0038172293,0.002924768,0.009472604,0.0039046265,0.0024380253,0.00088398583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009876515,0.00006352675,0.0014693702,0.00021498838,0.000023702923,0.00023155226,0.0019339075,0.0041318885,0.0016069985,0.928587,0.0053197932,0.056407355],"study_design_scores_gemma":[0.000013699162,0.000027184346,0.0020239167,0.0011607328,0.00006037475,0.00070286816,0.004458134,0.033928715,0.0031153676,0.44212136,0.51232654,0.00006104304],"about_ca_topic_score_codex":0.011351109,"about_ca_topic_score_gemma":0.010750386,"teacher_disagreement_score":0.011351109,"about_ca_system_score_codex":0.0031963259,"about_ca_system_score_gemma":0.007364532,"threshold_uncertainty_score":0.023191094},"labels":[],"label_agreement":null},{"id":"W2742598165","doi":"","title":"Linked Data for Cultural Heritage ed. by Ed Jones and Michelle Seikel (review)","year":2017,"lang":"en","type":"article","venue":"Canadian journal of information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"History; Art history","score_opus":0.0484919719242448,"score_gpt":0.31452026066683214,"score_spread":0.2660282887425873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742598165","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002318766,0.9876166,0.00014863734,0.008054064,0.00340003,0.0000056636177,0.00005721797,0.000008624332,0.00068597065],"genre_scores_gemma":[0.00029971648,0.9921813,0.00020856902,0.0038831148,0.0023779657,0.000013105405,0.00012373732,0.000006131646,0.00090643927],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823785,0.00047675968,0.00028993565,0.00019697365,0.0007173533,0.00008116814],"domain_scores_gemma":[0.9907754,0.004563635,0.0007818308,0.00021847409,0.0032242942,0.00043636977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044880076,0.0011216508,0.0017673429,0.006920866,0.00079785933,0.0034228438,0.0017064511,0.00279825,0.0077999863],"category_scores_gemma":[0.011274862,0.00063198566,0.0009977544,0.0076994677,0.0018183838,0.0076298597,0.0027944203,0.004539125,0.0042562517],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059503964,0.00001589795,0.00024749144,0.013292415,0.00015627692,0.00011557013,0.00015926744,0.00015994982,0.00017564387,0.0044664275,0.56275266,0.41839892],"study_design_scores_gemma":[0.00001520961,0.000014973551,0.0004799583,0.010666244,0.000078906305,0.0003741819,0.00009110305,0.000030474723,0.0000975955,0.0018625717,0.9862661,0.00002265268],"about_ca_topic_score_codex":0.009791006,"about_ca_topic_score_gemma":0.014487348,"teacher_disagreement_score":0.009791006,"about_ca_system_score_codex":0.0020352993,"about_ca_system_score_gemma":0.005959772,"threshold_uncertainty_score":0.026093543},"labels":[],"label_agreement":null},{"id":"W2746621060","doi":"","title":"Web sémantique : Quelles perspectives pour l’information juridique ?","year":2014,"lang":"fr","type":"article","venue":"Lex Electronica","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.009565400771141794,"score_gpt":0.23722031352465583,"score_spread":0.22765491275351404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746621060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00954066,0.01814091,0.84304,0.04240313,0.0016605521,0.00014946394,0.00058481627,0.0016977761,0.08278265],"genre_scores_gemma":[0.25673735,0.03562663,0.63733506,0.01015051,0.002807418,0.0007678865,0.0022696008,0.0032993928,0.051006164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9881181,0.0050155246,0.0010923786,0.0016764085,0.0035113401,0.0005863043],"domain_scores_gemma":[0.98872477,0.0054574134,0.0006543437,0.002607934,0.0021129695,0.00044256277],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.011045017,0.0011274967,0.0011170801,0.0061928844,0.0032809633,0.018620137,0.0026919818,0.0046434654,0.006630087],"category_scores_gemma":[0.013940522,0.0011693721,0.0018648186,0.006948772,0.0136047965,0.034982204,0.0049900697,0.009272743,0.0027067324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021804753,0.000022595303,0.00033991016,0.00023498702,0.00002274875,0.00015499303,0.0030103736,0.0007982833,0.0009560335,0.96437854,0.0042192154,0.025840396],"study_design_scores_gemma":[0.000014897302,0.00002189158,0.0006367217,0.0007104524,0.00003905694,0.00071227347,0.004051608,0.00872167,0.0021008183,0.644787,0.3381296,0.00007396453],"about_ca_topic_score_codex":0.01269448,"about_ca_topic_score_gemma":0.0056078318,"teacher_disagreement_score":0.98137987,"about_ca_system_score_codex":0.0055413605,"about_ca_system_score_gemma":0.0056198156,"threshold_uncertainty_score":0.058412373},"labels":[],"label_agreement":null},{"id":"W2749842654","doi":"","title":"Analysing markings made on e-documents","year":2008,"lang":"en","type":"article","venue":"Canadian journal of information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science; World Wide Web; History","score_opus":0.02005648339636483,"score_gpt":0.24035211035614318,"score_spread":0.22029562695977833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749842654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90478176,0.0005453059,0.069241755,0.00041264412,0.00024111614,0.00024397555,0.0020052171,0.0029856714,0.019542659],"genre_scores_gemma":[0.9395582,0.00024753134,0.050470494,0.00003386921,0.000039319,0.000044740675,0.0018492582,0.00050175056,0.0072547183],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961826,0.0007138993,0.0003549321,0.00046366852,0.0019360109,0.00034875458],"domain_scores_gemma":[0.9691561,0.018710067,0.0026926093,0.0044889348,0.0044477996,0.0005045052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023116725,0.0002961897,0.0003820316,0.0047056065,0.0015570889,0.003907343,0.0010991289,0.0012672414,0.004223875],"category_scores_gemma":[0.0226849,0.0005308459,0.0005781215,0.00616101,0.0015285661,0.0041828537,0.0016287069,0.0011311038,0.0010310207],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045841523,0.00045046664,0.08917157,0.0015931432,0.00025532587,0.0111095775,0.03060667,0.027565384,0.17997403,0.09871876,0.007942861,0.54802793],"study_design_scores_gemma":[0.00019300604,0.0007028576,0.12529694,0.0008742117,0.0006533247,0.0049953153,0.020090535,0.17847244,0.41195348,0.083648294,0.17269233,0.00042729947],"about_ca_topic_score_codex":0.007968728,"about_ca_topic_score_gemma":0.008004194,"teacher_disagreement_score":0.007968728,"about_ca_system_score_codex":0.0014830367,"about_ca_system_score_gemma":0.0014308208,"threshold_uncertainty_score":0.015844703},"labels":[],"label_agreement":null},{"id":"W2751177463","doi":"","title":"Port Clearance Rules in PSOA RuleML: From Controlled-English Regulation to Object-Relational Logic.","year":2017,"lang":"en","type":"article","venue":"Rules and Rule Markup Languages for the Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Object (grammar); Port (circuit theory); Relational database; Programming language; Database; Artificial intelligence; XHTML; Markup language; XML; World Wide Web; Engineering","score_opus":0.015951836949556587,"score_gpt":0.26591938560584544,"score_spread":0.24996754865628884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751177463","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030027665,0.000314533,0.9208121,0.001541647,0.00059603207,0.0005640073,0.008162366,0.03238601,0.032620613],"genre_scores_gemma":[0.14952049,0.001203475,0.7640298,0.0036154625,0.0005554436,0.0016230961,0.025795829,0.013673708,0.0399828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931831,0.0021815721,0.0011552739,0.0010111913,0.00216581,0.00030303386],"domain_scores_gemma":[0.98836863,0.0064162984,0.0005989106,0.0024513907,0.0019017364,0.0002629355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00561187,0.000992931,0.00093773665,0.0023624764,0.0011891904,0.010165819,0.0031223912,0.00205965,0.018765088],"category_scores_gemma":[0.020097729,0.0014769827,0.0021384037,0.0017508718,0.0031757997,0.0085617015,0.003313547,0.0043296185,0.011840092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035104965,0.0003889158,0.0015046747,0.0010525526,0.00017149273,0.0010491448,0.00196517,0.012720739,0.006241234,0.7062685,0.11822789,0.15005866],"study_design_scores_gemma":[0.00014137983,0.000057923862,0.00046681403,0.00050895644,0.00017419178,0.00044372102,0.00033407414,0.07558399,0.022243071,0.36888742,0.5310256,0.00013291111],"about_ca_topic_score_codex":0.0074376003,"about_ca_topic_score_gemma":0.0077925613,"teacher_disagreement_score":0.018765088,"about_ca_system_score_codex":0.0010670339,"about_ca_system_score_gemma":0.004026513,"threshold_uncertainty_score":0.06277549},"labels":[],"label_agreement":null},{"id":"W2753474671","doi":"","title":"Text Analytics with Eclipse for Software Engineers","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Eclipse; Computer science; Software analytics; Analytics; Software engineering; Software; Data science; Software development; Software construction; Programming language; Astronomy; Physics","score_opus":0.19557141935035022,"score_gpt":0.3826565469449737,"score_spread":0.18708512759462348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753474671","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038340587,0.00041204508,0.6926193,0.00088467915,0.00025499082,0.00040087043,0.011998361,0.24647759,0.008611528],"genre_scores_gemma":[0.18219107,0.00041781747,0.74520946,0.00021570011,0.00007752765,0.00047717028,0.037468106,0.021054082,0.012889085],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987429,0.00037203464,0.00020498107,0.000299062,0.00029461112,0.00008650226],"domain_scores_gemma":[0.9954803,0.002814276,0.00016794523,0.0007805331,0.0005625495,0.00019444808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026053118,0.0009848389,0.0007176805,0.002087565,0.0006070143,0.0022635239,0.00078328984,0.0006503599,0.01390051],"category_scores_gemma":[0.0091735,0.000810053,0.0012353802,0.0013676911,0.00036206262,0.0037354096,0.0018110857,0.0011990612,0.0053345626],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016873458,0.000437272,0.008487837,0.0008695093,0.00024910507,0.0006314273,0.001903258,0.007832151,0.031522065,0.024550164,0.118981056,0.80284876],"study_design_scores_gemma":[0.0006337877,0.00040780747,0.013319496,0.00053847325,0.00040914206,0.0010033804,0.0010628605,0.3430988,0.10183343,0.05435332,0.4831074,0.00023210079],"about_ca_topic_score_codex":0.0032653487,"about_ca_topic_score_gemma":0.0050475765,"teacher_disagreement_score":0.01390051,"about_ca_system_score_codex":0.00056198845,"about_ca_system_score_gemma":0.0012453824,"threshold_uncertainty_score":0.046501875},"labels":[],"label_agreement":null},{"id":"W2753711746","doi":"10.1109/icppw.2017.38","title":"A Parallel Shared-Memory Architecture for OWL Ontology Classification","year":2017,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ontology; Web Ontology Language; OWL-S; Ontology language; Semantic Web; Description logic; Scalability; Information retrieval; Thread (computing); Natural language processing; Artificial intelligence; Programming language; Semantic Web Stack; Database","score_opus":0.06205194906664999,"score_gpt":0.31208954687660073,"score_spread":0.2500375978099507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753711746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17141032,0.002214526,0.7497965,0.0007754843,0.00069916336,0.0007392723,0.0013228838,0.045825046,0.027216787],"genre_scores_gemma":[0.5625099,0.0004986558,0.4167627,0.000442826,0.00013216454,0.000726415,0.0034859476,0.00086790556,0.014573529],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910945,0.00011275381,0.000079288126,0.00025061087,0.00026883188,0.0001790895],"domain_scores_gemma":[0.9988986,0.00018829819,0.000071143244,0.00031789704,0.0003907755,0.00013320557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076483627,0.00092375296,0.0006188101,0.0008141851,0.0011337142,0.0018165109,0.0032668964,0.0006066623,0.0101032695],"category_scores_gemma":[0.0018444037,0.0005176806,0.00067238323,0.0019135061,0.0004767728,0.002504816,0.0014084384,0.0009847634,0.0025448329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004023197,0.0016211544,0.010555553,0.0010698742,0.00054954144,0.0010666578,0.0008962103,0.082281135,0.07432293,0.034651473,0.13716978,0.6517925],"study_design_scores_gemma":[0.0006470824,0.00070444605,0.0020744598,0.00007730686,0.00028631202,0.00046202622,0.00031308472,0.85665137,0.045757964,0.02723511,0.065682806,0.000108086155],"about_ca_topic_score_codex":0.008443494,"about_ca_topic_score_gemma":0.008795464,"teacher_disagreement_score":0.0101032695,"about_ca_system_score_codex":0.0019573942,"about_ca_system_score_gemma":0.002426002,"threshold_uncertainty_score":0.033798754},"labels":[],"label_agreement":null},{"id":"W2757034290","doi":"10.2200/s00786ed1v01y201707wbe016","title":"Validating RDF Data","year":2017,"lang":"en","type":"article","venue":"Synthesis lectures on the semantic web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mitel (Canada)","funders":"","keywords":"RDF; Computer science; Simple Knowledge Organization System; Information retrieval; Data science; SPARQL; Semantic Web","score_opus":0.0938875915235083,"score_gpt":0.30518032598655725,"score_spread":0.21129273446304897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757034290","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0195732,0.0016733634,0.87002474,0.0100316,0.0025415323,0.0011453518,0.023103477,0.016872704,0.055033952],"genre_scores_gemma":[0.24576242,0.0033636277,0.59385693,0.004705574,0.00082733546,0.0011046383,0.10921163,0.011126115,0.03004173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9466159,0.018211622,0.0047464427,0.006787077,0.021804577,0.0018344421],"domain_scores_gemma":[0.9063466,0.031064209,0.0025516937,0.03845884,0.020819515,0.000759125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03708286,0.0018638773,0.0017790173,0.008467577,0.0029996776,0.015288096,0.0046978327,0.0041720783,0.016545873],"category_scores_gemma":[0.10926883,0.0018240068,0.0039216965,0.0059938175,0.0046153804,0.023028955,0.009010988,0.0052626044,0.010038186],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003266822,0.00043975934,0.009274488,0.0011359956,0.00045652615,0.00086095725,0.0014213357,0.026131101,0.009485513,0.61893475,0.094031475,0.23750147],"study_design_scores_gemma":[0.00008891357,0.00008503293,0.0018377426,0.0019995912,0.00028022585,0.0006994548,0.0016539344,0.088529974,0.065589875,0.40998915,0.4290475,0.00019861743],"about_ca_topic_score_codex":0.0133202085,"about_ca_topic_score_gemma":0.009598789,"teacher_disagreement_score":0.03708286,"about_ca_system_score_codex":0.00477833,"about_ca_system_score_gemma":0.0111832395,"threshold_uncertainty_score":0.19611526},"labels":[],"label_agreement":null},{"id":"W2757451264","doi":"10.1145/3131780","title":"Are All Classes Created Equal? Increasing Precision of Conceptual Modeling Grammars","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Management Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Science Foundation","keywords":"Computer science; Syntax; Semantics (computer science); Rule-based machine translation; Representation (politics); Construct (python library); Conceptual model; Parsing; Analytics; Natural language processing; Meaning (existential); Data science; Artificial intelligence; Programming language; Database; Epistemology","score_opus":0.08124705435110224,"score_gpt":0.2963446645209245,"score_spread":0.21509761016982226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757451264","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057820752,0.0041642217,0.8316019,0.032846104,0.0005968383,0.00015939756,0.0004853089,0.0013644589,0.070961066],"genre_scores_gemma":[0.72717494,0.0024061739,0.25924805,0.0031904054,0.0005006092,0.00034792555,0.0007443231,0.0008148478,0.0055727717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96198475,0.018060923,0.0029614023,0.008424463,0.007207509,0.0013609354],"domain_scores_gemma":[0.9046272,0.05043434,0.0039489297,0.035070565,0.0047803638,0.0011387173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038970876,0.000958395,0.0019353946,0.0037131119,0.0048761996,0.02102163,0.0047214157,0.0054799584,0.006673289],"category_scores_gemma":[0.12463277,0.0019725207,0.0026452446,0.0037027574,0.035055354,0.06395758,0.011373857,0.008120928,0.0012351531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023571818,0.0000088069355,0.00046623405,0.000045620967,0.000018507291,0.000030365807,0.003279589,0.0010195056,0.00014325154,0.9842259,0.0007881164,0.009950391],"study_design_scores_gemma":[0.000016792563,0.000008609607,0.00017181388,0.000067191715,0.000021742198,0.00006400049,0.00057213864,0.002379819,0.00027840206,0.980998,0.015404485,0.00001703711],"about_ca_topic_score_codex":0.0070322137,"about_ca_topic_score_gemma":0.0033649171,"teacher_disagreement_score":0.038970876,"about_ca_system_score_codex":0.0076746354,"about_ca_system_score_gemma":0.0052107023,"threshold_uncertainty_score":0.20610017},"labels":[],"label_agreement":null},{"id":"W2763302890","doi":"10.1504/ijil.2017.10008280","title":"Residency and service towards a standard for representing telecommunications and innovation open data","year":2017,"lang":"en","type":"article","venue":"International Journal of Innovation and Learning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Telecommunications; Measure (data warehouse); Telecommunications service; Service (business); Order (exchange); Knowledge management; Business; Database; Marketing","score_opus":0.17205641526769686,"score_gpt":0.4345725349552608,"score_spread":0.26251611968756394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763302890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009675003,0.0006761358,0.9513165,0.006163825,0.0008200242,0.0007919758,0.005139389,0.0037051097,0.02171197],"genre_scores_gemma":[0.04940593,0.0014488972,0.915761,0.0022329842,0.00029785413,0.0013632661,0.019428497,0.0011446268,0.008916918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97779363,0.005854638,0.00502005,0.002498186,0.0077665346,0.0010668562],"domain_scores_gemma":[0.97315896,0.0058450056,0.0021487733,0.0073483316,0.009808559,0.0016902926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020754134,0.00077958556,0.0011132626,0.0063293083,0.002805571,0.011787587,0.0028966996,0.0041077305,0.002959228],"category_scores_gemma":[0.03550254,0.0008120017,0.0020309174,0.009620672,0.004434409,0.017217577,0.008425816,0.007848846,0.0033931567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007132804,0.00014128139,0.0019024439,0.00062523695,0.000049750233,0.00023577201,0.0022045732,0.0043380517,0.0032858043,0.88780373,0.026343476,0.07299845],"study_design_scores_gemma":[0.0000383163,0.00007264231,0.001634566,0.0007896066,0.000060905586,0.00048285088,0.0014674922,0.0141118895,0.004785739,0.21681519,0.7596178,0.00012296766],"about_ca_topic_score_codex":0.015904317,"about_ca_topic_score_gemma":0.008430247,"teacher_disagreement_score":0.020754134,"about_ca_system_score_codex":0.005983863,"about_ca_system_score_gemma":0.017825924,"threshold_uncertainty_score":0.10975963},"labels":[],"label_agreement":null},{"id":"W2767154063","doi":"10.1109/iccsnt.2016.8070282","title":"Semantic ontology of knowledge on ethnic groups in Thailand","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Humanities Research Group, University of Windsor","keywords":"Ontology; Computer science; Upper ontology; Ontology-based data integration; Ethnic group; Body of knowledge; Scope (computer science); Process ontology; Knowledge-based systems; Knowledge extraction; Suggested Upper Merged Ontology; Information retrieval; Knowledge management; Natural language processing; Semantic Web; Artificial intelligence; Sociology; Epistemology; Anthropology","score_opus":0.04029616321591908,"score_gpt":0.2915557632777264,"score_spread":0.25125960006180736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767154063","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27498975,0.0037941253,0.25036317,0.0051125777,0.00029235106,0.00040355508,0.002695186,0.00033353837,0.46201578],"genre_scores_gemma":[0.92891586,0.0028665455,0.054784708,0.00029709627,0.00005096853,0.0001637656,0.0015768909,0.000050118124,0.01129417],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990246,0.0003926194,0.00010594291,0.00010613364,0.00027027423,0.00010046289],"domain_scores_gemma":[0.9993767,0.00021980342,0.000098466735,0.00007377168,0.00016347055,0.0000678011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008165105,0.00027957375,0.00022839014,0.0034058755,0.0021158182,0.0040988117,0.00048735837,0.00047253387,0.0018504409],"category_scores_gemma":[0.0013676039,0.0001522251,0.0005448532,0.005642735,0.0036205326,0.004587871,0.002076624,0.00074451196,0.00024455553],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041336003,0.00004345647,0.0061040106,0.00041214432,0.000041187297,0.001426139,0.02425947,0.003968094,0.0014822896,0.898486,0.0034137983,0.06032202],"study_design_scores_gemma":[0.000028085373,0.000030565276,0.015699264,0.0009652433,0.00014264778,0.0017695148,0.04952908,0.014956413,0.0023831725,0.62690175,0.28750852,0.00008578296],"about_ca_topic_score_codex":0.026318444,"about_ca_topic_score_gemma":0.018477622,"teacher_disagreement_score":0.026318444,"about_ca_system_score_codex":0.0026855515,"about_ca_system_score_gemma":0.005264387,"threshold_uncertainty_score":0.052330494},"labels":[],"label_agreement":null},{"id":"W2767516636","doi":"","title":"An Attention Based Theory to Explore Affordances of Textual and Diagrammatic Proofs","year":2010,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Diagrammatic reasoning; Affordance; Mathematical proof; Notation; Computer science; Focus (optics); Human–computer interaction; Semantic reasoner; Cognitive science; Programming language; Artificial intelligence; Linguistics; Psychology; Mathematics","score_opus":0.01866752281625084,"score_gpt":0.23657526124584685,"score_spread":0.21790773842959602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767516636","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030828876,0.0006749753,0.9430981,0.0019333811,0.000093269206,0.000082136336,0.000082850514,0.00036773284,0.022838617],"genre_scores_gemma":[0.6186598,0.0006944122,0.37353536,0.0003325788,0.00009174187,0.00030037813,0.00014598474,0.000202446,0.0060373084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841046,0.00079100346,0.00009609294,0.00032774312,0.00023207956,0.00014263034],"domain_scores_gemma":[0.99286324,0.004840019,0.00044509344,0.0008639073,0.00062867254,0.00035895014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002582266,0.0007669572,0.00040640956,0.0036951026,0.0013172087,0.0033133468,0.0016985759,0.0012939028,0.010962167],"category_scores_gemma":[0.012340347,0.0007724068,0.0022743833,0.0013632339,0.0069806324,0.011726936,0.0040649977,0.0014596761,0.00055940344],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092072296,0.00005346511,0.0012042008,0.00023026012,0.000047140245,0.00023618188,0.004738909,0.0077566933,0.0032293892,0.9387145,0.0011562527,0.042540867],"study_design_scores_gemma":[0.000051066105,0.000119279175,0.0013081086,0.00013266121,0.000073277995,0.00039566477,0.0013414418,0.058090568,0.0021637604,0.9183586,0.017924868,0.00004068558],"about_ca_topic_score_codex":0.0047544055,"about_ca_topic_score_gemma":0.0032746538,"teacher_disagreement_score":0.010962167,"about_ca_system_score_codex":0.0025096938,"about_ca_system_score_gemma":0.0010604045,"threshold_uncertainty_score":0.036672056},"labels":[],"label_agreement":null},{"id":"W2768474948","doi":"10.5220/0006497501750182","title":"The Mid Level Data Collection Ontology (DCO) - Generic Data Collection using a Mid Level Ontology","year":2017,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ontology; Data collection; Computer science; Information retrieval; Statistics; Mathematics","score_opus":0.4544085309875278,"score_gpt":0.3817712939008587,"score_spread":0.07263723708666914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768474948","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0081322575,0.00039129486,0.9641702,0.0016877317,0.00023519855,0.00089985406,0.004354287,0.006588702,0.013540403],"genre_scores_gemma":[0.09958262,0.00070776494,0.87720007,0.0018480786,0.00011506124,0.00077509135,0.012548131,0.0014348745,0.005788358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933335,0.0009974518,0.0012073024,0.0012049236,0.002691908,0.000564808],"domain_scores_gemma":[0.99366105,0.0008437165,0.0004396903,0.0029204965,0.0015566344,0.0005784616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007774748,0.00082478934,0.0011901538,0.005244065,0.0023905889,0.008506636,0.002252188,0.0017718164,0.0018903662],"category_scores_gemma":[0.00981141,0.0009304588,0.002355994,0.0065524806,0.003019142,0.008913569,0.0063045435,0.00360016,0.001231397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027516801,0.00034446688,0.0098234825,0.0010176428,0.00017945118,0.0006878247,0.0025195477,0.0037010466,0.025377262,0.74773085,0.045144387,0.16319884],"study_design_scores_gemma":[0.000059784998,0.00009174541,0.0065348814,0.0007913958,0.00023632789,0.0018613187,0.0018928214,0.050770447,0.03193001,0.23837829,0.6672261,0.00022687444],"about_ca_topic_score_codex":0.018600602,"about_ca_topic_score_gemma":0.016317831,"teacher_disagreement_score":0.018600602,"about_ca_system_score_codex":0.004131299,"about_ca_system_score_gemma":0.010187851,"threshold_uncertainty_score":0.04111731},"labels":[],"label_agreement":null},{"id":"W2770543892","doi":"10.7202/1041827ar","title":"Archivistique, histoire et Web sémantique : une approche interdisciplinaire basée sur l’événementiel","year":2017,"lang":"fr","type":"article","venue":"Archives","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.07259961344740287,"score_gpt":0.2949697889673961,"score_spread":0.22237017551999325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770543892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006346073,0.002684979,0.9386517,0.0070126713,0.00040718762,0.00013511644,0.0003983507,0.002910154,0.041453812],"genre_scores_gemma":[0.1960697,0.0060843397,0.7416433,0.0021508113,0.00042360788,0.00039613966,0.0019273146,0.0025888123,0.048715927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99429506,0.0021284402,0.0006226617,0.0010655794,0.001624658,0.00026355853],"domain_scores_gemma":[0.9931958,0.002205051,0.00044797585,0.0023542729,0.0013742576,0.00042260558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007268133,0.0010150728,0.00098307,0.0067364112,0.0033519685,0.015053295,0.0027251279,0.0035320662,0.0076482953],"category_scores_gemma":[0.009748248,0.0011220505,0.002058916,0.005535516,0.006749659,0.021968609,0.0077187126,0.0041667763,0.0028343513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063826876,0.000054060478,0.0018355862,0.0005950161,0.00010632908,0.00079533656,0.0153441215,0.0031044646,0.004789326,0.8159722,0.010849777,0.14648998],"study_design_scores_gemma":[0.000014693735,0.000024440315,0.0013653697,0.00056398415,0.00012174874,0.0011803416,0.00538979,0.020201288,0.0032925026,0.37235856,0.5954115,0.00007580233],"about_ca_topic_score_codex":0.029200712,"about_ca_topic_score_gemma":0.029878475,"teacher_disagreement_score":0.029200712,"about_ca_system_score_codex":0.0047914707,"about_ca_system_score_gemma":0.00648633,"threshold_uncertainty_score":0.05806148},"labels":[],"label_agreement":null},{"id":"W2778454420","doi":"10.18225/ci.inf.v46i1.4017","title":"Desambiguação de relações em tesauros e o seu reúso em ontologias","year":2017,"lang":"pt","type":"article","venue":"Ciência da Informação","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Effigis (Canada)","funders":"","keywords":"Humanities; Philosophy","score_opus":0.0632546195220803,"score_gpt":0.31144696939970506,"score_spread":0.24819234987762478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778454420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036791027,0.0027302883,0.91625464,0.0031326744,0.0005721118,0.00034756426,0.0010194407,0.0037928524,0.03535949],"genre_scores_gemma":[0.30138558,0.0036642754,0.6517077,0.0020633715,0.0005463971,0.0005291538,0.0032918071,0.0029053327,0.033906404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9863441,0.0042724865,0.0017376764,0.0029348622,0.004199446,0.00051144673],"domain_scores_gemma":[0.9750199,0.009610261,0.0017615181,0.008819905,0.00422953,0.000558872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008453936,0.0017169055,0.0010470803,0.0043133236,0.0033320375,0.009904384,0.0027915745,0.0022599772,0.007626206],"category_scores_gemma":[0.030110639,0.0015314412,0.003236903,0.0032943098,0.006507099,0.022589965,0.011103819,0.0049593686,0.0032804532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026017323,0.00014273457,0.007592076,0.0018110343,0.00025335874,0.0021754622,0.02965095,0.0031783977,0.018559095,0.64447415,0.009825683,0.28207684],"study_design_scores_gemma":[0.00003999955,0.000119418655,0.004349219,0.0010402862,0.00032709682,0.0028345191,0.00911303,0.014658972,0.021674495,0.45735738,0.48829994,0.00018569146],"about_ca_topic_score_codex":0.0062865885,"about_ca_topic_score_gemma":0.0056228163,"teacher_disagreement_score":0.009904384,"about_ca_system_score_codex":0.0027262555,"about_ca_system_score_gemma":0.004445021,"threshold_uncertainty_score":0.044709206},"labels":[],"label_agreement":null},{"id":"W2779835195","doi":"10.7202/1042309ar","title":"Étapes pour le développement d’un projet de données ouvertes et liées en bibliothèque","year":2017,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.06113175396502293,"score_gpt":0.34903145862913887,"score_spread":0.28789970466411596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779835195","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077801704,0.020010594,0.5974948,0.04114811,0.0023843192,0.0019395223,0.0025624593,0.0075755185,0.24908295],"genre_scores_gemma":[0.19873366,0.018961634,0.6540598,0.0027527623,0.0007219796,0.0012039612,0.0046162806,0.002504704,0.11644521],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9702013,0.013495542,0.0029232968,0.0023416993,0.009857795,0.0011802539],"domain_scores_gemma":[0.95907336,0.013240859,0.0021105325,0.008904294,0.013868179,0.0028027317],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.025701378,0.0006326935,0.00084368716,0.010108315,0.006208764,0.01873496,0.0016414196,0.0029957998,0.013075972],"category_scores_gemma":[0.036042906,0.0009199879,0.0017397684,0.013898111,0.0036458347,0.01598431,0.0067830924,0.0045793406,0.006121876],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024561145,0.00043671214,0.008626753,0.0026012668,0.00014201661,0.0016470689,0.044848975,0.0020254657,0.017095212,0.31135255,0.031056846,0.57992154],"study_design_scores_gemma":[0.000042485095,0.00013285477,0.0055017746,0.0016595513,0.00007623026,0.0008274066,0.013284921,0.0015752969,0.01070877,0.02549572,0.9405537,0.00014123044],"about_ca_topic_score_codex":0.016694618,"about_ca_topic_score_gemma":0.02097853,"teacher_disagreement_score":0.9983586,"about_ca_system_score_codex":0.0071939784,"about_ca_system_score_gemma":0.014908619,"threshold_uncertainty_score":0.1359235},"labels":[],"label_agreement":null},{"id":"W2780949455","doi":"10.7202/1042308ar","title":"Les données et leurs impacts théoriques et pratiques sur les professionnels de l’information","year":2017,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.12464286344068984,"score_gpt":0.3880267518260763,"score_spread":0.2633838883853865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780949455","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082865864,0.04720832,0.5689337,0.09992761,0.0021994514,0.0007644851,0.010187236,0.003264367,0.18464892],"genre_scores_gemma":[0.47785762,0.05955134,0.40749568,0.006836147,0.0011378935,0.00084602885,0.007899582,0.0014702963,0.036905363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9439928,0.021151667,0.004308559,0.0042186673,0.025220301,0.0011080449],"domain_scores_gemma":[0.82376665,0.12775028,0.003961736,0.014975922,0.028581314,0.0009641154],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.033185653,0.0011648623,0.0011664317,0.015320533,0.0046381284,0.021298055,0.0025878437,0.004274525,0.010303295],"category_scores_gemma":[0.1422139,0.0015565042,0.003048603,0.0178083,0.006697643,0.026440037,0.0058481167,0.005897878,0.0032913177],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030919147,0.00024449264,0.025101885,0.0045914263,0.00040240065,0.00091178226,0.023070244,0.0069677318,0.0061644376,0.49417576,0.021935591,0.416125],"study_design_scores_gemma":[0.000057582787,0.0001393815,0.017221518,0.007005934,0.00058428897,0.0021097357,0.025271593,0.021115856,0.016267542,0.3511204,0.55869955,0.00040650123],"about_ca_topic_score_codex":0.038644318,"about_ca_topic_score_gemma":0.025299134,"teacher_disagreement_score":0.97870195,"about_ca_system_score_codex":0.009778676,"about_ca_system_score_gemma":0.011142059,"threshold_uncertainty_score":0.17550457},"labels":[],"label_agreement":null},{"id":"W2781590991","doi":"10.24251/hicss.2018.507","title":"Introduction to the Minitrack on Creation and Appropriation of Knowledge Systems","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Appropriation; Knowledge management; Computer science; Knowledge creation; World Wide Web; Business; Epistemology; Marketing","score_opus":0.042313690664354385,"score_gpt":0.29909788090590556,"score_spread":0.2567841902415512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781590991","genre_codex":"review","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003373643,0.2955739,0.20355949,0.18344878,0.08109621,0.00033823246,0.0014155008,0.0022438408,0.22895049],"genre_scores_gemma":[0.04207776,0.27903372,0.1553017,0.056409664,0.093128905,0.00074795954,0.0034161676,0.0031502875,0.36673382],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979279,0.00059068704,0.0001779287,0.00043411524,0.00070115656,0.00016819558],"domain_scores_gemma":[0.9903279,0.0059341034,0.00027301742,0.0011761257,0.0016166995,0.0006721531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034059838,0.0009896896,0.0009954282,0.003501909,0.002595696,0.00915908,0.0025339155,0.0038370083,0.035251524],"category_scores_gemma":[0.008953232,0.00073994236,0.0010233519,0.004795852,0.0066684703,0.017372252,0.004983908,0.00875265,0.01411092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051872546,0.00007196146,0.00044290247,0.0012043613,0.000020581865,0.00009981374,0.001775688,0.00034030207,0.0015065038,0.3653478,0.40028003,0.22885811],"study_design_scores_gemma":[0.0000031839224,0.00001516482,0.00020551696,0.00048592887,0.0000042740703,0.00011189342,0.00019361237,0.00018893751,0.00029961285,0.04005307,0.9584217,0.000016995022],"about_ca_topic_score_codex":0.0028579305,"about_ca_topic_score_gemma":0.0062065073,"teacher_disagreement_score":0.035251524,"about_ca_system_score_codex":0.0034693107,"about_ca_system_score_gemma":0.0034476682,"threshold_uncertainty_score":0.11792809},"labels":[],"label_agreement":null},{"id":"W2783279189","doi":"","title":"Évolution de l'ontologie utilisée comme référentiel sémantique dans un système de téléapprentissage","year":2004,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Philosophy; Humanities","score_opus":0.030932932327702414,"score_gpt":0.24773046468349882,"score_spread":0.2167975323557964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783279189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13902079,0.0010129949,0.81241685,0.0022147482,0.00041366738,0.0003622274,0.0009555857,0.02140872,0.022194374],"genre_scores_gemma":[0.44002998,0.0014228103,0.512428,0.00077970035,0.00016225596,0.00035609375,0.0026746448,0.008196278,0.033950143],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953492,0.0011756471,0.000414068,0.00089214474,0.0019636836,0.0002051923],"domain_scores_gemma":[0.98785585,0.0051816143,0.00057739485,0.0036779626,0.0023181902,0.00038900948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00682872,0.0007087839,0.00086180726,0.0025681208,0.0020703874,0.010497691,0.0015887809,0.002393617,0.003993086],"category_scores_gemma":[0.018704055,0.0016388382,0.0014190463,0.0018519307,0.0028136682,0.012136166,0.0032613394,0.003262938,0.002319343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010601422,0.0012100186,0.032154396,0.00085561624,0.00034175284,0.0031423008,0.028481048,0.031899765,0.090811096,0.25036514,0.016217956,0.5434608],"study_design_scores_gemma":[0.00013679813,0.00038206606,0.021794511,0.00041727716,0.0004414681,0.002910035,0.003857158,0.40197304,0.09248465,0.1127658,0.36241445,0.00042278858],"about_ca_topic_score_codex":0.018617384,"about_ca_topic_score_gemma":0.012079774,"teacher_disagreement_score":0.018617384,"about_ca_system_score_codex":0.0019574529,"about_ca_system_score_gemma":0.0035774102,"threshold_uncertainty_score":0.03701806},"labels":[],"label_agreement":null},{"id":"W2783514191","doi":"10.5539/cis.v11n1p65","title":"A Class Validation Proposal of a Pedagogic Domain Ontology based on Clustering Analysis","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Benemérita Universidad Autónoma de Puebla","keywords":"Computer science; Cluster analysis; Ontology; Class (philosophy); Domain (mathematical analysis); Ontology learning; Information retrieval; Semantics (computer science); Focus (optics); Process (computing); Semantic Web; Data science; Natural language processing; Artificial intelligence; Upper ontology; Suggested Upper Merged Ontology","score_opus":0.02109544656107348,"score_gpt":0.28733286306090666,"score_spread":0.2662374164998332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783514191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017755713,0.00019979387,0.9695276,0.0012924172,0.00015089635,0.00093134743,0.00030892133,0.0013288856,0.008504425],"genre_scores_gemma":[0.1463402,0.00022542368,0.8457639,0.00033794402,0.00007273285,0.0011142793,0.0015883916,0.0004488062,0.004108303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.983157,0.005894945,0.0014518847,0.0034484544,0.005211778,0.000835869],"domain_scores_gemma":[0.9768545,0.008158737,0.00094768364,0.0036832378,0.0096128415,0.0007430155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016580064,0.0009734283,0.000973075,0.0071041705,0.0033550935,0.0067968816,0.0035990633,0.0032767945,0.0042354167],"category_scores_gemma":[0.032016054,0.0006160476,0.0025070726,0.0032215163,0.0040966826,0.006439643,0.003948395,0.0021420566,0.0014963149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005729323,0.00092977344,0.011490755,0.0012508408,0.00030708752,0.00079935073,0.007797161,0.015930044,0.02879033,0.4822813,0.016774535,0.4330759],"study_design_scores_gemma":[0.00028009654,0.00049316155,0.011047875,0.0017359783,0.00054483366,0.0016452835,0.006407749,0.3369965,0.07271937,0.32195723,0.24568509,0.00048683534],"about_ca_topic_score_codex":0.008003796,"about_ca_topic_score_gemma":0.004806394,"teacher_disagreement_score":0.016580064,"about_ca_system_score_codex":0.0034088776,"about_ca_system_score_gemma":0.007946041,"threshold_uncertainty_score":0.08768481},"labels":[],"label_agreement":null},{"id":"W2783767745","doi":"","title":"Fourth annual workshop on data-driven knowledge mobilization.","year":2017,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Toronto; Queen's University","funders":"","keywords":"Mobilization; Computer science; Data science; Knowledge management; Political science","score_opus":0.2861860519477305,"score_gpt":0.4756191753746572,"score_spread":0.1894331234269267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783767745","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020074798,0.041256506,0.6426237,0.07685637,0.020609664,0.00090936944,0.0043302756,0.00556524,0.187774],"genre_scores_gemma":[0.19302787,0.02033976,0.4888853,0.007980182,0.0043501183,0.0010576999,0.016997855,0.0026057397,0.26475543],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945695,0.0024538478,0.00033780138,0.00088284665,0.0013023696,0.00045356984],"domain_scores_gemma":[0.985232,0.006309228,0.00025511478,0.0035910981,0.0030307262,0.0015817755],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015093858,0.0012676832,0.0014000682,0.0026321572,0.0013947496,0.011472204,0.004463881,0.0034947896,0.0460758],"category_scores_gemma":[0.020249033,0.0008554795,0.0015340669,0.0023495168,0.0025932798,0.014035936,0.007986699,0.004031331,0.012768579],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072426524,0.00054549536,0.0014310499,0.0009028898,0.00016793683,0.00039012538,0.0025804976,0.002706673,0.003798742,0.12696438,0.36104703,0.49874088],"study_design_scores_gemma":[0.000073428346,0.00010472573,0.0011182416,0.00078640017,0.00008969626,0.00032455657,0.0015896533,0.009685534,0.0051615504,0.11374265,0.86725867,0.000064935215],"about_ca_topic_score_codex":0.0044445507,"about_ca_topic_score_gemma":0.005760659,"teacher_disagreement_score":0.98490614,"about_ca_system_score_codex":0.002741088,"about_ca_system_score_gemma":0.00489104,"threshold_uncertainty_score":0.15413886},"labels":[],"label_agreement":null},{"id":"W2784077298","doi":"","title":"Optimizing the JVM object model using object splitting.","year":2017,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Object (grammar); Object model; Object based; Distributed object; Method; Programming language; Object-oriented programming; Artificial intelligence","score_opus":0.2516107123815173,"score_gpt":0.4489005636656486,"score_spread":0.19728985128413135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784077298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07643139,0.00083899597,0.8864638,0.0005047078,0.00047570158,0.00020521342,0.00089056743,0.024459317,0.009730316],"genre_scores_gemma":[0.3565926,0.00017485423,0.6275303,0.0002004981,0.00006641314,0.00021879384,0.0030201168,0.00498333,0.007213146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985757,0.00027200897,0.00009612002,0.00020989319,0.00068510993,0.00016122486],"domain_scores_gemma":[0.997584,0.0006667445,0.000085007276,0.0009880003,0.00056856574,0.000107713626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002123046,0.0008829966,0.0008500508,0.0010319302,0.00077394344,0.002869072,0.0034190235,0.0015349801,0.0062524867],"category_scores_gemma":[0.0069592563,0.0008584612,0.0012075463,0.0013675817,0.0006913419,0.004346138,0.002047663,0.0018687182,0.0021057443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013214652,0.00055326446,0.006976183,0.00043610958,0.0002701791,0.0002444331,0.00050135906,0.38106972,0.044544052,0.05170576,0.043592427,0.46878514],"study_design_scores_gemma":[0.000054100256,0.000036692818,0.00034046103,0.000014624611,0.000029809917,0.000027882228,0.00005873171,0.97198075,0.007854857,0.012430517,0.007156967,0.000014583859],"about_ca_topic_score_codex":0.0071838917,"about_ca_topic_score_gemma":0.010125732,"teacher_disagreement_score":0.0071838917,"about_ca_system_score_codex":0.0016781498,"about_ca_system_score_gemma":0.0023179352,"threshold_uncertainty_score":0.0209167},"labels":[],"label_agreement":null},{"id":"W2784788128","doi":"10.3334/ornldaac/1367","title":"ABoVE: Study Domain and Standard Reference Grids","year":2017,"lang":"en","type":"article","venue":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Domain (mathematical analysis); Computer science; Mathematics; Mathematical analysis","score_opus":0.01581066948345178,"score_gpt":0.28887750925078803,"score_spread":0.27306683976733626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784788128","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01621961,0.0003013162,0.058594782,0.001181518,0.0005116942,0.005563058,0.7423713,0.0066207,0.16863604],"genre_scores_gemma":[0.048779808,0.0005634437,0.1497333,0.00067602604,0.00010972237,0.012665696,0.7455244,0.0023559965,0.039591525],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980977,0.00048442773,0.0003464655,0.00032047616,0.0005441765,0.00020664718],"domain_scores_gemma":[0.99448,0.0007473021,0.00031489215,0.0010817035,0.0029479363,0.0004282384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031555283,0.00049565785,0.00047950627,0.0033301392,0.00093828316,0.002511443,0.0015203789,0.00059000513,0.06392496],"category_scores_gemma":[0.008161975,0.0005014232,0.00044636152,0.0075387163,0.00045045748,0.0016302903,0.0014376006,0.0009237733,0.028132686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005352631,0.00023671359,0.012216713,0.00064301933,0.000031151947,0.0002105555,0.0010429089,0.0032538078,0.001730837,0.03352563,0.8566792,0.089894176],"study_design_scores_gemma":[0.00011395748,0.000026054135,0.015232853,0.00012681537,0.000012630056,0.000074373456,0.0007374385,0.001351143,0.00083769346,0.0049636546,0.9764924,0.00003089117],"about_ca_topic_score_codex":0.05830159,"about_ca_topic_score_gemma":0.060177,"teacher_disagreement_score":0.06392496,"about_ca_system_score_codex":0.001983624,"about_ca_system_score_gemma":0.005103611,"threshold_uncertainty_score":0.21385032},"labels":[],"label_agreement":null},{"id":"W2784839898","doi":"","title":"NTTMU system in the 2nd social media mining for health applications shared task","year":2017,"lang":"en","type":"article","venue":"CEUR Workshop Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Task (project management); Social media; Computer science; World Wide Web; Data science; Internet privacy; Engineering","score_opus":0.06373446760919713,"score_gpt":0.3252538038133155,"score_spread":0.2615193362041184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784839898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16487005,0.005644403,0.4426861,0.0049232533,0.0029451516,0.0029701437,0.12342247,0.20282687,0.04971155],"genre_scores_gemma":[0.33965233,0.0012139877,0.43858445,0.0015295863,0.0005989283,0.0030791534,0.17448756,0.003728136,0.037125815],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982728,0.00044057783,0.0002023839,0.00048695112,0.00040193953,0.00019532202],"domain_scores_gemma":[0.99879706,0.00036342803,0.00007437393,0.0002918015,0.00031494984,0.00015832097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019711824,0.0013255557,0.0014498878,0.0033660864,0.0017890058,0.0018932924,0.0015317927,0.0020359065,0.01111209],"category_scores_gemma":[0.005090633,0.00044794695,0.0015581493,0.001687843,0.00030225646,0.0029625357,0.003089229,0.001031484,0.009226807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020167169,0.0011901307,0.015019888,0.0013135135,0.00055999,0.0013706174,0.00092276395,0.0040819966,0.03205564,0.005951985,0.27261585,0.6629009],"study_design_scores_gemma":[0.00033781488,0.0007733231,0.029719288,0.0005056169,0.0009966423,0.0018066665,0.001560939,0.40823007,0.09104208,0.021553697,0.44314256,0.00033127845],"about_ca_topic_score_codex":0.010774205,"about_ca_topic_score_gemma":0.0136562,"teacher_disagreement_score":0.01111209,"about_ca_system_score_codex":0.000910881,"about_ca_system_score_gemma":0.0022376655,"threshold_uncertainty_score":0.03717363},"labels":[],"label_agreement":null},{"id":"W2786817381","doi":"10.3406/stice.2003.858","title":"Apport de l’ingénierie ontologique aux environnements de formation à distance","year":2003,"lang":"fr","type":"article","venue":"Sciences et Technologies de l Information et de la Communication pour l Éducation et la Formation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy","score_opus":0.05599231319718995,"score_gpt":0.34296688580931484,"score_spread":0.2869745726121249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786817381","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051274844,0.0028318136,0.85217655,0.00453117,0.00043373933,0.00021405863,0.00025156303,0.00056451926,0.087721854],"genre_scores_gemma":[0.40309438,0.006155801,0.54456073,0.0007634645,0.00030301345,0.00032955254,0.0005335059,0.00033305775,0.04392645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973997,0.0009941029,0.00015503904,0.0005064705,0.0008310327,0.000113759386],"domain_scores_gemma":[0.99617815,0.0019482234,0.0002652042,0.0006397669,0.00079767266,0.00017098508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022270002,0.0009546657,0.0004700186,0.0026720515,0.002023375,0.005542041,0.0009336616,0.0016279287,0.006828701],"category_scores_gemma":[0.008726815,0.00048185934,0.0013685855,0.0021240523,0.003920281,0.009765294,0.0051636267,0.0020305656,0.0014144125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007782416,0.000077640165,0.0051177097,0.00077132083,0.00010144532,0.0013602969,0.018000545,0.008215242,0.009576216,0.7548965,0.0039133755,0.19789189],"study_design_scores_gemma":[0.000030431393,0.00012186983,0.0079157,0.00048696384,0.00014615346,0.0026326599,0.0130917225,0.037388034,0.009734451,0.47849932,0.4498273,0.00012529013],"about_ca_topic_score_codex":0.005359281,"about_ca_topic_score_gemma":0.005719425,"teacher_disagreement_score":0.006828701,"about_ca_system_score_codex":0.0014547762,"about_ca_system_score_gemma":0.0011641213,"threshold_uncertainty_score":0.022844255},"labels":[],"label_agreement":null},{"id":"W2787318183","doi":"10.3233/978-1-61499-830-3-1335","title":"POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing","year":2017,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Vault (architecture); Computer science; Natural language processing; Engineering; Structural engineering","score_opus":0.17729166726386855,"score_gpt":0.4751279981411616,"score_spread":0.297836330877293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787318183","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007391123,0.00024703765,0.98030716,0.0013811017,0.000088408255,0.0004497035,0.0021702203,0.009988828,0.004628382],"genre_scores_gemma":[0.026898736,0.0003393993,0.9660638,0.0005191539,0.00006625906,0.00065237255,0.0033142725,0.0010241994,0.0011218558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98718333,0.007294268,0.0016468861,0.0010611427,0.0024085033,0.00040593566],"domain_scores_gemma":[0.97610486,0.01731705,0.0011828525,0.0027314525,0.002135576,0.0005282224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02047727,0.0022537583,0.0017024396,0.00822569,0.0023125834,0.009112596,0.004236682,0.0035690062,0.01360671],"category_scores_gemma":[0.038014736,0.0019213641,0.0072114915,0.0038623596,0.004491678,0.010997559,0.0075764777,0.004475944,0.003114366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002377547,0.00020287346,0.0019505379,0.001462434,0.0003521469,0.00075783086,0.001167002,0.05461837,0.001227546,0.79219884,0.025990523,0.119834125],"study_design_scores_gemma":[0.00014358578,0.00006668818,0.00041622066,0.0007311441,0.00018058672,0.0003482793,0.00039962571,0.23598701,0.0031305542,0.6113272,0.14715925,0.000109969],"about_ca_topic_score_codex":0.020398255,"about_ca_topic_score_gemma":0.026895572,"teacher_disagreement_score":0.02047727,"about_ca_system_score_codex":0.004591993,"about_ca_system_score_gemma":0.0077326214,"threshold_uncertainty_score":0.10829544},"labels":[],"label_agreement":null},{"id":"W2788978911","doi":"10.1184/r1/6622118","title":"Equal Time for Data on the Internet with WebSemantics","year":2018,"lang":"en","type":"article","venue":"Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data exchange; Data sharing; Schema (genetic algorithms); The Internet; Semantics (computer science); World Wide Web; Data publishing; Data integration; Data discovery; Data science; Information retrieval; Publishing; Database; Metadata; Programming language","score_opus":0.17359152028001157,"score_gpt":0.32110360648005853,"score_spread":0.14751208620004697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788978911","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010822737,0.0032079176,0.27856424,0.073358424,0.008341565,0.00041686092,0.0010151523,0.008792989,0.6154801],"genre_scores_gemma":[0.20712951,0.004570619,0.2375455,0.0278367,0.007324996,0.0013966168,0.0029574258,0.0061736996,0.50506485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937177,0.002098339,0.0005503791,0.00087046466,0.002205119,0.000557972],"domain_scores_gemma":[0.9845883,0.0028793756,0.0006960325,0.008185332,0.0022671577,0.0013837455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006459119,0.000527623,0.0007352729,0.0029136685,0.005343459,0.014379754,0.0017815576,0.004009202,0.059012834],"category_scores_gemma":[0.022712765,0.00075399166,0.0010290493,0.004488702,0.00502354,0.029618636,0.01016059,0.007185082,0.021412939],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008812776,0.000052791576,0.000702769,0.00007876131,0.000019972862,0.00026193724,0.0015553242,0.00035923888,0.0009421772,0.8272462,0.09884155,0.06985118],"study_design_scores_gemma":[0.000022857035,0.000017903945,0.00021863161,0.00011640597,0.000011342863,0.00027792697,0.0003704225,0.0009698606,0.00043055572,0.14875367,0.84878224,0.00002817143],"about_ca_topic_score_codex":0.0027391724,"about_ca_topic_score_gemma":0.0031397452,"teacher_disagreement_score":0.059012834,"about_ca_system_score_codex":0.0019017862,"about_ca_system_score_gemma":0.0037883339,"threshold_uncertainty_score":0.19741756},"labels":[],"label_agreement":null},{"id":"W2789162937","doi":"","title":"GestAnnot: A Paper Annotation Tool for Tablet","year":2013,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Annotation; Computer science; Artificial intelligence","score_opus":0.0035571836679018634,"score_gpt":0.14120707818167244,"score_spread":0.13764989451377058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789162937","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022830874,0.0016313094,0.7907109,0.00059281796,0.0004972644,0.0014840766,0.005386397,0.14702292,0.029843403],"genre_scores_gemma":[0.095628135,0.0014655773,0.8129617,0.0006494243,0.00012586123,0.0015104883,0.008374426,0.0110187875,0.06826558],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985821,0.00020924598,0.00013585687,0.00028674494,0.00073260674,0.000053527165],"domain_scores_gemma":[0.99652135,0.001780673,0.00020413268,0.0006472843,0.00063913706,0.00020753207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014694773,0.0015989495,0.000770295,0.0018344678,0.0009909695,0.0022397619,0.0023004867,0.0016465246,0.030976374],"category_scores_gemma":[0.006475826,0.00072157313,0.0009739886,0.0014048096,0.0007316055,0.003686516,0.0025733195,0.0010417978,0.01164504],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012361725,0.00023101055,0.001387133,0.0025601622,0.00010767655,0.0011655443,0.0029623385,0.0017811677,0.07389039,0.008278661,0.11659149,0.7898083],"study_design_scores_gemma":[0.0003323501,0.00058107503,0.009037578,0.0009605668,0.00017710146,0.0024735725,0.0015645637,0.033166397,0.096126676,0.012486543,0.84258217,0.00051134825],"about_ca_topic_score_codex":0.0031349654,"about_ca_topic_score_gemma":0.0054976633,"teacher_disagreement_score":0.030976374,"about_ca_system_score_codex":0.00064738,"about_ca_system_score_gemma":0.0011248684,"threshold_uncertainty_score":0.10362631},"labels":[],"label_agreement":null},{"id":"W2790275020","doi":"","title":"Éditorial du numéro spécial \"Les ontologies pour les EIAH\"","year":2004,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.030305870884006457,"score_gpt":0.2443087010733973,"score_spread":0.21400283018939084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790275020","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018573148,0.03301418,0.0017872774,0.044052713,0.89628047,0.000036848716,0.00020196312,0.00016183527,0.024278946],"genre_scores_gemma":[0.003314161,0.034536485,0.0011332906,0.021517303,0.8462387,0.00009731185,0.00032936884,0.00030424708,0.09252928],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99531156,0.00079683744,0.0004874905,0.00067309535,0.0024790624,0.00025187997],"domain_scores_gemma":[0.9861266,0.005200274,0.00078915054,0.00079355267,0.005654235,0.0014362327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003765097,0.0016982445,0.0016559298,0.007411747,0.0026445063,0.007644745,0.0017463755,0.004326021,0.023780616],"category_scores_gemma":[0.013162873,0.00050692237,0.0014728927,0.0035713064,0.0031375848,0.0063062347,0.0024096246,0.0073541,0.012420609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002329662,0.00000913634,0.000032746393,0.00022114562,0.0000051061415,0.000060657723,0.000057990066,0.000045837493,0.00010098573,0.0039770277,0.98409826,0.011367838],"study_design_scores_gemma":[0.00000395318,0.0000065524064,0.00012568652,0.0002068621,0.0000048084858,0.000092529976,0.000038570575,0.00004942152,0.000054279953,0.0010320669,0.9983804,0.000004770806],"about_ca_topic_score_codex":0.004221064,"about_ca_topic_score_gemma":0.00673099,"teacher_disagreement_score":0.023780616,"about_ca_system_score_codex":0.005268204,"about_ca_system_score_gemma":0.0031344811,"threshold_uncertainty_score":0.07955408},"labels":[],"label_agreement":null},{"id":"W2790650564","doi":"10.4095/285614","title":"The Flin Flon 3D Knowledge Cube","year":2010,"lang":"en","type":"report","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Cube (algebra); Business; Computer science; Mathematics; Geometry","score_opus":0.045253773975249593,"score_gpt":0.3239558136183798,"score_spread":0.2787020396431302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790650564","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021977583,0.0011949737,0.54676825,0.0022713442,0.0002122403,0.0010915119,0.29627612,0.043754905,0.0864531],"genre_scores_gemma":[0.1381245,0.0017318,0.52949315,0.0007945961,0.000045663353,0.0022465887,0.30826885,0.0018648318,0.017429998],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995449,0.000050492792,0.000047348076,0.000102045626,0.00020491594,0.000050298622],"domain_scores_gemma":[0.9995264,0.00013880435,0.0000382978,0.00013836859,0.00011470175,0.00004341187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045883266,0.0010068172,0.00075492734,0.002347537,0.00087112497,0.0037920757,0.00206246,0.0013584845,0.022783084],"category_scores_gemma":[0.0020955678,0.00057339715,0.0016515754,0.0024568324,0.00070095656,0.0025714354,0.0031697808,0.0011519261,0.008089826],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047920248,0.00024207894,0.0037074084,0.0016648317,0.0001690225,0.0020317791,0.0009892073,0.13669606,0.0075155175,0.108788006,0.33784163,0.3998753],"study_design_scores_gemma":[0.00009227546,0.000059134854,0.0018309832,0.00040188737,0.00005606459,0.0007634567,0.00054829346,0.22347555,0.006588972,0.047198787,0.71888345,0.00010112398],"about_ca_topic_score_codex":0.041390028,"about_ca_topic_score_gemma":0.050341167,"teacher_disagreement_score":0.95861,"about_ca_system_score_codex":0.0016709834,"about_ca_system_score_gemma":0.0022915462,"threshold_uncertainty_score":0.08229822},"labels":[],"label_agreement":null},{"id":"W2791424851","doi":"10.1007/s00799-018-0232-3","title":"Capisco: low-cost concept-based access to digital libraries","year":2018,"lang":"en","type":"article","venue":"International Journal on Digital Libraries","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Andrew W. Mellon Foundation","keywords":"Computer science; Information retrieval; Metadata; Search engine indexing; Digital library; Semantics (computer science); Context (archaeology); Markup language; Semantic search; World Wide Web; Semantic Web; XML; Programming language","score_opus":0.027714263739575896,"score_gpt":0.28559349932849193,"score_spread":0.257879235588916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791424851","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03397841,0.0018459194,0.46372572,0.001443312,0.00074284105,0.0024473555,0.021823762,0.33659065,0.137402],"genre_scores_gemma":[0.23230332,0.0023247327,0.6057403,0.0017419249,0.00038345272,0.0016739815,0.061420858,0.01836212,0.07604922],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973974,0.00028520927,0.00013957734,0.00031117717,0.0016194227,0.00024724737],"domain_scores_gemma":[0.99573463,0.0009820453,0.00015948176,0.0017472293,0.0007614997,0.0006151258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703371,0.0013898814,0.0010569345,0.0050400547,0.0015705124,0.0066139135,0.0032728626,0.0017763316,0.040051427],"category_scores_gemma":[0.009100435,0.0007272332,0.0014292384,0.003821068,0.0012568748,0.0071600256,0.009142551,0.0020555826,0.016643167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001924648,0.0011968625,0.0032791486,0.0018684365,0.00027468623,0.0013054641,0.0013575689,0.0030839052,0.020502744,0.07039845,0.26760897,0.6271992],"study_design_scores_gemma":[0.00044694057,0.0003601645,0.004765877,0.00047587554,0.00027680318,0.0019329423,0.0010907947,0.08635872,0.04198712,0.060230605,0.8017068,0.00036747553],"about_ca_topic_score_codex":0.007841616,"about_ca_topic_score_gemma":0.009248414,"teacher_disagreement_score":0.040051427,"about_ca_system_score_codex":0.0015653111,"about_ca_system_score_gemma":0.0031798678,"threshold_uncertainty_score":0.1339854},"labels":[],"label_agreement":null},{"id":"W2791813432","doi":"10.21494/iste.op.2018.0242","title":"Epistemological Contextualism from a Logical Point of View","year":2018,"lang":"fr","type":"article","venue":"Modélisation et utilisation du contexte","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Contextualism; Epistemology; Point (geometry); Philosophy; Psychology; Linguistics; Mathematics","score_opus":0.08602878342651825,"score_gpt":0.3069085619076241,"score_spread":0.22087977848110585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791813432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014278335,0.004000219,0.8023082,0.018010318,0.00063265587,0.00009012861,0.00032714615,0.00034218052,0.16001081],"genre_scores_gemma":[0.7225077,0.003579057,0.25263068,0.0036350447,0.0014494912,0.0006841618,0.00044177775,0.00022172077,0.014850378],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.994948,0.00261451,0.00035104458,0.00077503175,0.0009700604,0.0003412443],"domain_scores_gemma":[0.9956392,0.0022356985,0.00040286902,0.000916701,0.0005989333,0.00020659043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049302406,0.0008598697,0.00084472564,0.0035404037,0.00297965,0.010252922,0.002467976,0.0021821505,0.007854054],"category_scores_gemma":[0.006153447,0.0007602615,0.0019475708,0.002551103,0.025517978,0.0126976725,0.0057109115,0.0044577974,0.0009948162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002984452,0.000003262268,0.00004977599,0.000029165452,0.0000043726386,0.000021463806,0.00023828237,0.00027019193,0.00007569944,0.9981014,0.0001565903,0.0010469059],"study_design_scores_gemma":[0.0000069081157,0.000007060838,0.00009009852,0.000046205023,0.0000066383973,0.000039891016,0.00029839334,0.0011127545,0.0001928129,0.9842091,0.013982768,0.000007348232],"about_ca_topic_score_codex":0.0025389546,"about_ca_topic_score_gemma":0.0025949911,"teacher_disagreement_score":0.010252922,"about_ca_system_score_codex":0.0047312784,"about_ca_system_score_gemma":0.0032677366,"threshold_uncertainty_score":0.034328043},"labels":[],"label_agreement":null},{"id":"W2791902933","doi":"10.11575/prism/29076","title":"Digital Commons-Overview","year":2004,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Library science; Presentation (obstetrics); Commons; Political science; World Wide Web; Computer science; Sociology; Law; Ethnology","score_opus":0.019639857225776967,"score_gpt":0.20595469328031743,"score_spread":0.18631483605454047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791902933","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003187356,0.0125229405,0.052757353,0.007043366,0.0019304785,0.00023806747,0.010784188,0.017107653,0.89442873],"genre_scores_gemma":[0.071129456,0.044043075,0.06737629,0.005285262,0.0024853589,0.00059747306,0.036482118,0.01132132,0.76127964],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908483,0.00010948349,0.000056790075,0.0001161685,0.0005171454,0.00011551119],"domain_scores_gemma":[0.9987834,0.0002920185,0.000072567804,0.00023757425,0.00032349312,0.0002909494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089258153,0.0005194952,0.00037388364,0.0066712443,0.0013316111,0.0060222885,0.0010795761,0.0013512945,0.122665375],"category_scores_gemma":[0.0027730523,0.00042406196,0.00040605792,0.009422683,0.0010217484,0.0103117395,0.004962798,0.0021037713,0.05891115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000558251,0.000052319185,0.00070559676,0.00075468386,0.000008173528,0.00012553713,0.00038223565,0.0009119991,0.0007651843,0.17856027,0.44262108,0.37505707],"study_design_scores_gemma":[0.0000019504034,0.0000030958213,0.00019121467,0.00011787373,0.0000017070079,0.000086839325,0.00007715868,0.00012013475,0.00014986085,0.008336559,0.9909073,0.0000062336408],"about_ca_topic_score_codex":0.004305475,"about_ca_topic_score_gemma":0.0061961105,"teacher_disagreement_score":0.122665375,"about_ca_system_score_codex":0.0017692188,"about_ca_system_score_gemma":0.0017790918,"threshold_uncertainty_score":0.41035658},"labels":[],"label_agreement":null},{"id":"W2792404803","doi":"10.18533/journal.v7i2.1342","title":"Building Social Interactions as a Creation of Networks in an RDF Repository","year":2018,"lang":"en","type":"article","venue":"Journal of Arts and Humanities","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; McGill University","funders":"","keywords":"RDF; World Wide Web; Linked data; Computer science; Metadata; Vocabulary; Event (particle physics); Social network (sociolinguistics); Resource (disambiguation); Digital humanities; Data science; Semantic Web; Social media; Linguistics","score_opus":0.04067965573024927,"score_gpt":0.30979954131070864,"score_spread":0.26911988558045935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792404803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017804293,0.0003148541,0.9218436,0.003439799,0.00018829363,0.0007495781,0.0025007965,0.0057970686,0.047361743],"genre_scores_gemma":[0.17501654,0.0007321309,0.78793967,0.00070257596,0.000104459716,0.0011215792,0.008599074,0.0016519858,0.024132079],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9908105,0.0048113954,0.000793417,0.0014075292,0.0017832979,0.0003939565],"domain_scores_gemma":[0.992486,0.0033021977,0.0005261074,0.0024830562,0.0008774403,0.0003252039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008927106,0.00078606355,0.0005247211,0.005086951,0.0036081378,0.008376305,0.002314047,0.0017610857,0.005455742],"category_scores_gemma":[0.013743329,0.00097306067,0.0023172009,0.004142121,0.004300813,0.022351168,0.00938014,0.0024710137,0.0021113718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010145192,0.00021953064,0.0036996547,0.0003700789,0.000121419725,0.0014857721,0.017588846,0.02241937,0.003548459,0.8412795,0.016918095,0.092247844],"study_design_scores_gemma":[0.000055029406,0.00006331877,0.0012645549,0.00057107565,0.00013608522,0.0006020818,0.00927056,0.08166299,0.008367578,0.38187438,0.51598716,0.00014513922],"about_ca_topic_score_codex":0.016155003,"about_ca_topic_score_gemma":0.019876093,"teacher_disagreement_score":0.016155003,"about_ca_system_score_codex":0.0024053152,"about_ca_system_score_gemma":0.003447193,"threshold_uncertainty_score":0.047211647},"labels":[],"label_agreement":null},{"id":"W2792755186","doi":"10.4095/306486","title":"Linked data: connecting data using Google discoverability","year":2018,"lang":"en","type":"report","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Discoverability; Computer science; Information retrieval; World Wide Web; Database","score_opus":0.4602543730282641,"score_gpt":0.43437371311860373,"score_spread":0.025880659909660375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792755186","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017182177,0.004069322,0.5570558,0.0060121296,0.0012967288,0.0028271375,0.20908651,0.1299169,0.07255324],"genre_scores_gemma":[0.087785706,0.004922153,0.53602105,0.0011618398,0.00035421053,0.002565648,0.34438956,0.012392077,0.010407754],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903261,0.0015339507,0.0015805506,0.0016564509,0.0043611987,0.00054166315],"domain_scores_gemma":[0.9866457,0.0044518486,0.000989187,0.0049245246,0.0023571444,0.00063151366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007401879,0.0023031489,0.0016787138,0.029783929,0.0033035744,0.010110487,0.003257838,0.0027149247,0.014274337],"category_scores_gemma":[0.042272534,0.0014240153,0.0050205854,0.03095692,0.0017158436,0.023483008,0.017048458,0.0026438974,0.009625617],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061561284,0.00029795268,0.013840437,0.004080747,0.00067750976,0.0017040588,0.0052086464,0.015023383,0.0026781084,0.29408985,0.26051334,0.40127027],"study_design_scores_gemma":[0.00011871054,0.000073521456,0.0038471182,0.0008289461,0.00018269385,0.00063270424,0.0020763644,0.05573868,0.0032089052,0.2370596,0.69595325,0.0002795393],"about_ca_topic_score_codex":0.05223684,"about_ca_topic_score_gemma":0.04055028,"teacher_disagreement_score":0.05223684,"about_ca_system_score_codex":0.0028489546,"about_ca_system_score_gemma":0.00530669,"threshold_uncertainty_score":0.10386562},"labels":[],"label_agreement":null},{"id":"W2792952625","doi":"10.6028/nist.sp.500-266","title":"The fourteenth text retrieval conference TREC 2005","year":2006,"lang":"en","type":"report","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Duisburg-Essen; Université de Genève; University of Tokyo; University of Michigan-Dearborn; Tampereen Yliopisto; University of Waterloo; University of Michigan; University of Glasgow; University of Twente; Università di Pisa; Università degli Studi di Padova; University of Limerick; University of Melbourne; University of Central Florida; University College Dublin; University of North Texas; University of Pittsburgh; University of Colorado School of Medicine, Anschutz Medical Campus; University of Illinois at Urbana-Champaign; Universiteit van Amsterdam; York University","keywords":"Computer science; Information retrieval; NIST; Terabyte; Context (archaeology); Consistency (knowledge bases); World Wide Web; Question answering; Search engine indexing; Natural language processing; Artificial intelligence","score_opus":0.05328066525781568,"score_gpt":0.29199056830277176,"score_spread":0.23870990304495607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792952625","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026779192,0.04493249,0.049549814,0.0897948,0.06023456,0.011890905,0.36932608,0.040017594,0.30747464],"genre_scores_gemma":[0.021518014,0.010486887,0.038477335,0.011123727,0.0058631757,0.0040194904,0.5697492,0.0031535325,0.33560872],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9809831,0.0058502974,0.0016654672,0.0016246882,0.008605713,0.0012707574],"domain_scores_gemma":[0.9500472,0.0062746266,0.0015536227,0.0036057793,0.034044176,0.004474563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02443659,0.003617594,0.004952086,0.014021059,0.005777559,0.01152231,0.006827113,0.00465168,0.056799922],"category_scores_gemma":[0.032954037,0.0011969609,0.0015123204,0.00777214,0.0023752553,0.011069023,0.0039647757,0.0042720865,0.0573077],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008417221,0.0001234205,0.00015913216,0.00018572563,0.000034780493,0.00002874766,0.000049635986,0.00020792708,0.0006814481,0.00048572043,0.98099583,0.016963588],"study_design_scores_gemma":[0.00039723975,0.00026572877,0.00555232,0.0005643921,0.00022521868,0.00018237112,0.00039778335,0.0033197305,0.0075771348,0.0037747908,0.9774909,0.00025237733],"about_ca_topic_score_codex":0.11203196,"about_ca_topic_score_gemma":0.16040352,"teacher_disagreement_score":0.11203196,"about_ca_system_score_codex":0.012021036,"about_ca_system_score_gemma":0.026547035,"threshold_uncertainty_score":0.22275972},"labels":[],"label_agreement":null},{"id":"W2793244785","doi":"10.1007/978-3-319-75487-1_40","title":"An Informativeness Approach to Open IE Evaluation","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Tuple; Task (project management); Protocol (science); Information extraction; Information retrieval; Recall; Natural language processing; Artificial intelligence; Precision and recall; Data mining","score_opus":0.060656292775890436,"score_gpt":0.3240916038813368,"score_spread":0.2634353111054464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793244785","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008822191,0.00147178,0.95730716,0.0016747343,0.00021990726,0.00033318455,0.0005083062,0.0009531502,0.02870958],"genre_scores_gemma":[0.3733545,0.0011011467,0.6028418,0.001140461,0.0013101875,0.0011924638,0.0024038895,0.0010376862,0.015617864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.95957613,0.02105934,0.003345125,0.0029622335,0.01194497,0.0011121413],"domain_scores_gemma":[0.9258168,0.050042517,0.0024733231,0.007693695,0.012580879,0.0013928665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.033019517,0.0018121464,0.0018309176,0.012816302,0.0030794982,0.009346446,0.0035959322,0.0031776314,0.012670042],"category_scores_gemma":[0.11110777,0.0011412123,0.0017892221,0.0070601273,0.0049216533,0.017654989,0.0066512753,0.005183746,0.0019208796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004399824,0.000278381,0.0028870718,0.0004939407,0.00017546046,0.00026034407,0.0012503507,0.020128557,0.0027954213,0.5957566,0.01542986,0.36010402],"study_design_scores_gemma":[0.00003943728,0.00012290472,0.0011194706,0.00026674743,0.00014489202,0.00028002358,0.0003461378,0.1281829,0.0045312,0.850129,0.014779409,0.000057910864],"about_ca_topic_score_codex":0.0017287731,"about_ca_topic_score_gemma":0.001998052,"teacher_disagreement_score":0.033019517,"about_ca_system_score_codex":0.003664151,"about_ca_system_score_gemma":0.0027385172,"threshold_uncertainty_score":0.17462593},"labels":[],"label_agreement":null},{"id":"W2794429424","doi":"10.5539/mas.v12n3p35","title":"Computer Hardware Components Ontology","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Computer hardware; Software engineering","score_opus":0.03097211572613218,"score_gpt":0.2577903974603854,"score_spread":0.22681828173425322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794429424","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015841983,0.005065974,0.654984,0.0037375102,0.00095948664,0.0013341444,0.017929208,0.0045326594,0.29561508],"genre_scores_gemma":[0.21190894,0.013075398,0.6475698,0.0021560185,0.0005809504,0.0017866736,0.042591624,0.00121639,0.07911426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986754,0.00017343296,0.00018147871,0.00024970772,0.0005731762,0.00014679336],"domain_scores_gemma":[0.998995,0.0002470523,0.0000900321,0.00021936792,0.00033479356,0.000113802125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072978495,0.0008943958,0.00051469606,0.0037683162,0.0019909912,0.0037200276,0.0016940241,0.0018678824,0.008612812],"category_scores_gemma":[0.0015417204,0.00064501946,0.0012546118,0.0040029865,0.0019583148,0.0059910687,0.0023923193,0.0022527217,0.0025727174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020290385,0.00005371136,0.00062064396,0.00046014966,0.000039564595,0.00042440728,0.0007271778,0.001946888,0.0016699824,0.93415666,0.02038196,0.039498642],"study_design_scores_gemma":[0.000013711282,0.000009846637,0.00057973625,0.0001839746,0.00003740245,0.00064647186,0.00037392715,0.0040246965,0.0010845271,0.13889328,0.8541299,0.000022565504],"about_ca_topic_score_codex":0.017595774,"about_ca_topic_score_gemma":0.01203941,"teacher_disagreement_score":0.017595774,"about_ca_system_score_codex":0.0025440957,"about_ca_system_score_gemma":0.005566015,"threshold_uncertainty_score":0.034986675},"labels":[],"label_agreement":null},{"id":"W2794535208","doi":"10.11575/prism/29072","title":"Building institutional support: how we &amp; others have done it ... good?","year":2004,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Presentation (obstetrics); Library science; Political science; World Wide Web; Computer science; Sociology","score_opus":0.02247909917186591,"score_gpt":0.22101220553619513,"score_spread":0.19853310636432922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794535208","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007841831,0.013888548,0.029142069,0.8027604,0.005662792,0.0001308857,0.00017522261,0.001614482,0.13878371],"genre_scores_gemma":[0.4482354,0.044985194,0.08872392,0.13706654,0.003305105,0.0002711102,0.0007379151,0.0022448334,0.27442998],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.9859685,0.00649948,0.00044575013,0.00085706497,0.0035124985,0.002716816],"domain_scores_gemma":[0.9786621,0.0036744669,0.0007933306,0.0030088888,0.0070067486,0.0068545076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024756117,0.0009033994,0.00060062425,0.0018371764,0.014084126,0.029037524,0.0025294025,0.00608379,0.019308655],"category_scores_gemma":[0.023183217,0.0005681555,0.0005919159,0.0030949279,0.01431257,0.024246613,0.008253449,0.008514619,0.008329738],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004632636,0.00011711358,0.004152926,0.0008973079,0.00007215557,0.00036196716,0.035690468,0.0007319285,0.001028898,0.13444795,0.46168563,0.3607674],"study_design_scores_gemma":[0.00001099588,0.000040108873,0.0011453715,0.0006719199,0.000027678883,0.0001329447,0.03515524,0.00027214273,0.0006411376,0.022684988,0.9391604,0.00005712365],"about_ca_topic_score_codex":0.07852207,"about_ca_topic_score_gemma":0.12196673,"teacher_disagreement_score":0.07852207,"about_ca_system_score_codex":0.011437835,"about_ca_system_score_gemma":0.023743061,"threshold_uncertainty_score":0.15613008},"labels":[],"label_agreement":null},{"id":"W2794979607","doi":"10.11575/prism/29081","title":"Institutional Repositories: Collection Issues","year":2004,"lang":"en","type":"article","venue":"Open MIND","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Presentation (obstetrics); Library science; Political science; World Wide Web; Computer science; History; Ethnology","score_opus":0.042316786440480904,"score_gpt":0.3168708196550839,"score_spread":0.274554033214603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794979607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02480582,0.009196637,0.6409824,0.18951829,0.0030740092,0.001758799,0.0009369987,0.003616832,0.12611018],"genre_scores_gemma":[0.3942935,0.01377567,0.49119422,0.04043034,0.0055079143,0.0024339838,0.0019140576,0.0044584437,0.0459919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.76542395,0.12348271,0.028952586,0.009717922,0.062382024,0.010040804],"domain_scores_gemma":[0.608793,0.19667092,0.023298012,0.07951516,0.081621185,0.010101778],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.23249252,0.0009947949,0.0023829625,0.010559508,0.018293906,0.05171236,0.0101883225,0.012157416,0.0076909806],"category_scores_gemma":[0.25158104,0.003179198,0.0024382377,0.020479776,0.020940842,0.10914214,0.020345004,0.015750537,0.0035127136],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004288705,0.00008253862,0.0024588106,0.00057303905,0.000054479155,0.0004488048,0.005597067,0.0016343056,0.00062101235,0.8864255,0.035646472,0.0664151],"study_design_scores_gemma":[0.000046666024,0.00008939482,0.002155636,0.0038662509,0.00014374558,0.0020886885,0.014996494,0.00515391,0.0041998723,0.3874887,0.5794537,0.00031683486],"about_ca_topic_score_codex":0.015286603,"about_ca_topic_score_gemma":0.01499781,"teacher_disagreement_score":0.94828767,"about_ca_system_score_codex":0.014715458,"about_ca_system_score_gemma":0.030280942,"threshold_uncertainty_score":0.94647336},"labels":[],"label_agreement":null},{"id":"W2797920706","doi":"10.7939/r3d795q8r","title":"Who Wrote This? Creator Metadata Quality on Academia.Edu","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metadata; Quality (philosophy); World Wide Web; Computer science; Philosophy","score_opus":0.035015760147373176,"score_gpt":0.252767510808704,"score_spread":0.21775175066133085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797920706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363404,0.0026810737,0.0021587538,0.0057654567,0.00017235783,0.00012034454,0.0045006336,0.00026244036,0.047998592],"genre_scores_gemma":[0.9877579,0.0010191257,0.0011064446,0.00028579237,0.00011092068,0.00004740136,0.0019795806,0.00011668926,0.007576132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.978229,0.005443168,0.0023788945,0.0016572285,0.011206735,0.0010849759],"domain_scores_gemma":[0.6877474,0.14144048,0.07020758,0.027361697,0.06517816,0.008064664],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.025454203,0.0002062275,0.0006060916,0.010123147,0.0023758803,0.00867444,0.0015008821,0.0007809169,0.009758749],"category_scores_gemma":[0.17270301,0.00033162622,0.00040190478,0.015530993,0.003906888,0.0071173133,0.0044250954,0.0010779097,0.002323495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019602128,0.00004795236,0.8634901,0.00032197792,0.000060892504,0.00016898478,0.057397567,0.00021098195,0.00045191997,0.0050165155,0.0066640084,0.0659731],"study_design_scores_gemma":[0.000010035037,0.000056916695,0.8906927,0.000507527,0.000058344114,0.00024302147,0.06044413,0.00072101597,0.0011567366,0.001397468,0.044651397,0.000060720955],"about_ca_topic_score_codex":0.07055251,"about_ca_topic_score_gemma":0.08727183,"teacher_disagreement_score":0.98987687,"about_ca_system_score_codex":0.0065196543,"about_ca_system_score_gemma":0.00874939,"threshold_uncertainty_score":0.1402837},"labels":[],"label_agreement":null},{"id":"W2800300897","doi":"10.1007/978-3-319-91452-7_48","title":"Multi-query Optimization in Federated RDF Systems","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; RDF; RDF query language; Rewriting; Query optimization; Heuristic; Computation; SPARQL; Filter (signal processing); Information retrieval; Theoretical computer science; Data mining; Web search query; Web query classification; Algorithm; Semantic Web; Artificial intelligence; Programming language; Search engine","score_opus":0.026702960668022042,"score_gpt":0.2534301210933975,"score_spread":0.22672716042537547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800300897","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026908811,0.0013105274,0.9615904,0.0007595406,0.00009107166,0.00016724193,0.00033761465,0.0030904638,0.0057442836],"genre_scores_gemma":[0.44766477,0.0007101478,0.5409194,0.0002879805,0.00012033183,0.00026056552,0.0013897337,0.0010872708,0.007559877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99028194,0.0038642546,0.000768571,0.0010946402,0.00305681,0.0009337799],"domain_scores_gemma":[0.99363744,0.003722148,0.000231842,0.0015664059,0.0006967446,0.00014554034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007464429,0.0009691249,0.0020729296,0.0016101612,0.0013850814,0.0047210413,0.003150978,0.0016061501,0.004087113],"category_scores_gemma":[0.0126225,0.0008984139,0.0017842132,0.0030326264,0.0014794603,0.00670014,0.003959909,0.002334362,0.0008440708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006788212,0.00037693826,0.0012456045,0.00054523704,0.00027666838,0.0003288316,0.000390188,0.45934612,0.0061629205,0.24425566,0.011468504,0.27492452],"study_design_scores_gemma":[0.000040492618,0.00003668394,0.00014839749,0.000031669675,0.000057476693,0.00010702592,0.00011965082,0.8395846,0.0058410554,0.14961675,0.0043898188,0.000026274121],"about_ca_topic_score_codex":0.0054091956,"about_ca_topic_score_gemma":0.005972387,"teacher_disagreement_score":0.007464429,"about_ca_system_score_codex":0.0028965604,"about_ca_system_score_gemma":0.002176373,"threshold_uncertainty_score":0.039476097},"labels":[],"label_agreement":null},{"id":"W2802419289","doi":"10.3406/stice.2004.897","title":"Ontologies : antinomies, contradictions et autres difficultés épistémologiques du concept","year":2004,"lang":"fr","type":"article","venue":"Sciences et Technologies de l Information et de la Communication pour l Éducation et la Formation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Ontology; Sensibility; Epistemology; Subject (documents); Fundamental ontology; Philosophy; Sociology; Cognitive science; Psychology; Computer science; Political science","score_opus":0.036945329935303355,"score_gpt":0.33759132743246195,"score_spread":0.3006459974971586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802419289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16083413,0.040967066,0.39980707,0.14089316,0.0040122885,0.00023752556,0.00029619795,0.00032359856,0.25262895],"genre_scores_gemma":[0.927381,0.007341543,0.05383862,0.00474071,0.001262396,0.00032079467,0.00012303762,0.00016065629,0.004831297],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9597615,0.023705304,0.0023306794,0.0030215385,0.010131065,0.0010498835],"domain_scores_gemma":[0.9399838,0.044374462,0.004888638,0.004391407,0.005447944,0.00091375253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036809992,0.00088980485,0.0014081642,0.0097629065,0.006900145,0.013662972,0.0019053784,0.005209106,0.0019725638],"category_scores_gemma":[0.071794145,0.000860541,0.0010766136,0.0068041896,0.052901346,0.031654887,0.0085440595,0.008531838,0.0004459775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016848493,0.000009683869,0.00030756425,0.00008485365,0.000017375134,0.000118424236,0.008782813,0.00012108607,0.00013161218,0.9846277,0.00066441635,0.0051174937],"study_design_scores_gemma":[0.00001837691,0.000007534708,0.0002998326,0.00015529616,0.000014147019,0.00028118683,0.0075932425,0.0008723227,0.00021300161,0.9655996,0.024920912,0.000024559733],"about_ca_topic_score_codex":0.0040773945,"about_ca_topic_score_gemma":0.0022712736,"teacher_disagreement_score":0.036809992,"about_ca_system_score_codex":0.0066627334,"about_ca_system_score_gemma":0.0039449553,"threshold_uncertainty_score":0.19467217},"labels":[],"label_agreement":null},{"id":"W2803024722","doi":"10.1002/spe.2581","title":"Ontology‐based model‐driven development of a destination management portal: Experience and lessons learned","year":2018,"lang":"en","type":"article","venue":"Software Practice and Experience","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Model-driven architecture; Unified Modeling Language; Code generation; Software engineering; Ontology; Context (archaeology); Process (computing); Domain (mathematical analysis); Flexibility (engineering); Process management; Metamodeling; Code (set theory); Knowledge management; Key (lock); Programming language; Engineering; Software; Computer security","score_opus":0.07106454758414069,"score_gpt":0.3608715101640578,"score_spread":0.2898069625799171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803024722","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65668863,0.00037633526,0.3008806,0.0044963756,0.000114918104,0.0005304686,0.00014254349,0.0015365847,0.035233572],"genre_scores_gemma":[0.71395177,0.0006180826,0.27436456,0.00035420322,0.000020656737,0.00017498081,0.0003617882,0.0006489377,0.009504909],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99537873,0.0030162884,0.0001795042,0.00023260739,0.00092863716,0.00026420134],"domain_scores_gemma":[0.9921496,0.0047194157,0.00024037728,0.0012553402,0.001098896,0.0005364693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009550045,0.00051376474,0.00028310413,0.0005621502,0.00141381,0.0028564811,0.0017034083,0.0016178224,0.0018106884],"category_scores_gemma":[0.014444281,0.0004875524,0.0006787343,0.00062199007,0.0020611284,0.003889153,0.002609522,0.0023055112,0.0005096972],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041670285,0.005601377,0.027009815,0.0016021758,0.00014465213,0.011626178,0.20944823,0.1262606,0.053736925,0.11825899,0.016712468,0.42918184],"study_design_scores_gemma":[0.00042652446,0.0021388235,0.008559179,0.0010555611,0.00015608313,0.006922899,0.06308954,0.37969732,0.075575784,0.042153638,0.41979662,0.0004280083],"about_ca_topic_score_codex":0.005857925,"about_ca_topic_score_gemma":0.0061183926,"teacher_disagreement_score":0.009550045,"about_ca_system_score_codex":0.0019019409,"about_ca_system_score_gemma":0.0027517749,"threshold_uncertainty_score":0.050506115},"labels":[],"label_agreement":null},{"id":"W2803892568","doi":"10.1007/978-3-319-91479-4_59","title":"Clustering of Propositions Equipped with Uncertainty","year":2018,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Correctness; Cluster analysis; Social connectedness; Data mining; Consistency (knowledge bases); Graph; External Data Representation; Uncertain data; Information retrieval; Representation (politics); Theoretical computer science; Machine learning; Artificial intelligence; Algorithm","score_opus":0.03920596644374087,"score_gpt":0.28875485140283674,"score_spread":0.24954888495909588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803892568","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034310833,0.0009851053,0.9566659,0.00042307115,0.000042293777,0.00007355724,0.00045363678,0.00037716498,0.006668462],"genre_scores_gemma":[0.47172955,0.0016557727,0.51342666,0.00023587942,0.00022469382,0.00027368468,0.0037484418,0.00039209076,0.008313237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959189,0.001404206,0.00030349352,0.0010192797,0.001100503,0.0002535926],"domain_scores_gemma":[0.9841537,0.010856675,0.0009105466,0.001893771,0.0018700877,0.00031526567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030260116,0.00088511093,0.0018354807,0.0047933944,0.0014555964,0.0050752605,0.003112757,0.0017255052,0.0041754735],"category_scores_gemma":[0.021690786,0.0011629298,0.00202698,0.0063829506,0.0028823963,0.00619461,0.0036987346,0.0019703319,0.0007923447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017413155,0.000048358044,0.001659202,0.00038082426,0.0002358041,0.00023232323,0.0010145972,0.10222546,0.0014169742,0.8157804,0.0040317457,0.07280013],"study_design_scores_gemma":[0.000010583568,0.000019641826,0.0005406703,0.000059007725,0.0000453366,0.00008115574,0.00017652712,0.23603159,0.0008212903,0.7595843,0.0026024133,0.000027543154],"about_ca_topic_score_codex":0.0034160032,"about_ca_topic_score_gemma":0.0023851083,"teacher_disagreement_score":0.0050752605,"about_ca_system_score_codex":0.002884051,"about_ca_system_score_gemma":0.0013021611,"threshold_uncertainty_score":0.020925283},"labels":[],"label_agreement":null},{"id":"W2804894071","doi":"10.5210/ojphi.v10i1.8987","title":"A Semantic Framework to Improve Interoperability of Malaria Surveillance Systems","year":2018,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of New Brunswick","funders":"Bill and Melinda Gates Foundation","keywords":"Interoperability; Computer science; Malaria; Metadata; Data science; Semantic interoperability; Data integration; Disease surveillance; Process management; Risk analysis (engineering); Data mining; World Wide Web; Medicine; Business; Disease","score_opus":0.05504119652487432,"score_gpt":0.33886338501653834,"score_spread":0.283822188491664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804894071","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006106423,0.00049816223,0.9822597,0.0024477004,0.0001602245,0.0005841584,0.0004275561,0.0029596707,0.0045564407],"genre_scores_gemma":[0.08503111,0.00079377805,0.9079841,0.00076143665,0.0001311353,0.0005240899,0.002344964,0.00047526273,0.0019541907],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9839675,0.00593008,0.0030595073,0.0020968574,0.0037847655,0.0011614253],"domain_scores_gemma":[0.9875656,0.0043932167,0.0010072974,0.003168857,0.002984367,0.00088068016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02581069,0.0015628596,0.001329715,0.00660808,0.0038271404,0.008420121,0.003999106,0.004019304,0.0020986053],"category_scores_gemma":[0.019191165,0.0012974816,0.006091618,0.0039651864,0.0054667983,0.01806026,0.014528764,0.004690325,0.0007671619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020547451,0.00038166298,0.003564987,0.00070468674,0.00028219706,0.001195618,0.0037024075,0.05191646,0.005837575,0.83856,0.008355093,0.08529387],"study_design_scores_gemma":[0.000113260874,0.00017158144,0.0011610534,0.0007604327,0.0003879322,0.00059627654,0.0017651612,0.29623988,0.008084685,0.5101151,0.18042202,0.00018265238],"about_ca_topic_score_codex":0.02796597,"about_ca_topic_score_gemma":0.021331053,"teacher_disagreement_score":0.02796597,"about_ca_system_score_codex":0.004777303,"about_ca_system_score_gemma":0.0104886405,"threshold_uncertainty_score":0.13650161},"labels":[],"label_agreement":null},{"id":"W2805182682","doi":"","title":"Special Track on Uncertain Reasoning.","year":2018,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; Track (disk drive); Artificial intelligence","score_opus":0.09287258982898797,"score_gpt":0.388574819162859,"score_spread":0.295702229333871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805182682","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013800913,0.07895688,0.019948263,0.07285353,0.499919,0.00040249317,0.004025156,0.0017282026,0.32078633],"genre_scores_gemma":[0.008647365,0.044807445,0.0063433726,0.008642891,0.2866388,0.0002800589,0.0066127484,0.0011197764,0.6369075],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974728,0.00043339064,0.0001593674,0.0006859541,0.0009683269,0.0002801657],"domain_scores_gemma":[0.9850915,0.00355167,0.0004922179,0.0012191007,0.0056633977,0.0039820196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005364202,0.0021371727,0.0027680763,0.004210115,0.0027928622,0.010375337,0.0030821343,0.004020043,0.22951369],"category_scores_gemma":[0.01115356,0.00080166565,0.0014847019,0.0056071775,0.0013198629,0.012006032,0.0045672473,0.0058745737,0.11010273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004094335,0.000028563361,0.0000968564,0.00017424545,0.000011609025,0.000032637872,0.00001920591,0.00010672346,0.0001135801,0.0035744288,0.95757776,0.03822363],"study_design_scores_gemma":[0.000012132847,0.000037264923,0.000268438,0.00021729857,0.000014916201,0.00008664487,0.00004809987,0.00047628258,0.00015208911,0.006720592,0.99195236,0.000013803126],"about_ca_topic_score_codex":0.0036261156,"about_ca_topic_score_gemma":0.009566775,"teacher_disagreement_score":0.22951369,"about_ca_system_score_codex":0.0039112405,"about_ca_system_score_gemma":0.004398156,"threshold_uncertainty_score":0.7677998},"labels":[],"label_agreement":null},{"id":"W2805216012","doi":"","title":"Overview of TAC-KBP2015 Tri-lingual Entity Discovery and Linking.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing","score_opus":0.038903865150935205,"score_gpt":0.3000834236780204,"score_spread":0.2611795585270852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805216012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064267954,0.02355761,0.7170683,0.004882923,0.0024975147,0.0022983775,0.07348205,0.10565477,0.06413174],"genre_scores_gemma":[0.016595017,0.00882284,0.5757663,0.001764928,0.00051813474,0.001543778,0.36836356,0.0080731,0.018552355],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9911452,0.0024700603,0.0010032487,0.0015798135,0.0031875016,0.00061413925],"domain_scores_gemma":[0.9875113,0.0026532412,0.00033956332,0.0040102443,0.0045964676,0.00088925386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0114838565,0.002859725,0.002476749,0.015713941,0.0029099416,0.008324374,0.0086269025,0.0029310836,0.02544718],"category_scores_gemma":[0.026600255,0.002052488,0.0022913185,0.015229108,0.0012332122,0.016875122,0.009014216,0.005375402,0.03473242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003499263,0.00047579265,0.0011541843,0.0021056307,0.0004499601,0.00044580686,0.0005271572,0.005859236,0.0047937757,0.032378796,0.56865704,0.38280275],"study_design_scores_gemma":[0.00007961352,0.000115487324,0.0011807858,0.00068258174,0.00019509006,0.00081779965,0.00031180328,0.05331155,0.0076457667,0.04658149,0.88890564,0.0001723594],"about_ca_topic_score_codex":0.02716767,"about_ca_topic_score_gemma":0.030985314,"teacher_disagreement_score":0.02716767,"about_ca_system_score_codex":0.0025488797,"about_ca_system_score_gemma":0.010234184,"threshold_uncertainty_score":0.08512932},"labels":[],"label_agreement":null},{"id":"W2805309976","doi":"10.63317/2ns28esosyby","title":"The LODeXporter: Flexible Generation of Linked Open Data Triples from NLP Frameworks for Automatic Knowledge Base Construction","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Natural language processing; Base (topology); Knowledge base; Artificial intelligence; Information retrieval","score_opus":0.17457855529937746,"score_gpt":0.36496017179777146,"score_spread":0.190381616498394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805309976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004960187,0.00024380875,0.8204816,0.00034738786,0.00016049943,0.00044520444,0.010585718,0.15805402,0.0047216034],"genre_scores_gemma":[0.05933346,0.00053979084,0.85405576,0.0003895522,0.000049001927,0.00068779854,0.055412516,0.02337879,0.006153474],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99848276,0.00027994913,0.00015669972,0.0003541066,0.0006113123,0.000115272596],"domain_scores_gemma":[0.997764,0.0010487009,0.00010097235,0.0007166033,0.0002614155,0.00010833434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003345744,0.0017170095,0.001086574,0.003984631,0.0014727575,0.0048658676,0.0034915875,0.0018387238,0.013864247],"category_scores_gemma":[0.009928063,0.0020177315,0.0030375074,0.002714659,0.0011642074,0.005532362,0.007841845,0.0029719989,0.00757151],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012077278,0.0007770596,0.004223845,0.0024256187,0.0008028846,0.0025010675,0.002697047,0.028695006,0.03557278,0.11300775,0.2633924,0.54469675],"study_design_scores_gemma":[0.0005565806,0.00010755206,0.0017390333,0.0005604962,0.00033234118,0.0010194586,0.00082591665,0.34815133,0.08197039,0.17487687,0.3894617,0.00039824884],"about_ca_topic_score_codex":0.0066974335,"about_ca_topic_score_gemma":0.010863933,"teacher_disagreement_score":0.013864247,"about_ca_system_score_codex":0.0010470774,"about_ca_system_score_gemma":0.0018817318,"threshold_uncertainty_score":0.04638052},"labels":[],"label_agreement":null},{"id":"W2807119068","doi":"","title":"BUPTTeam Participation at TAC 2017 Knowledge Base.","year":2017,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Knowledge base; Base (topology); Computer science; Mathematics; Artificial intelligence","score_opus":0.02855043846119382,"score_gpt":0.31318818787509856,"score_spread":0.28463774941390474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807119068","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03295758,0.003097832,0.089137465,0.016934618,0.007195785,0.0015993859,0.082362,0.033166163,0.73354924],"genre_scores_gemma":[0.17978428,0.0015750759,0.09136969,0.0025907673,0.0017453865,0.0018677308,0.27747425,0.012066627,0.43152624],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9920441,0.0024364863,0.00029814482,0.00092312216,0.0036272511,0.0006708534],"domain_scores_gemma":[0.98700154,0.0033867788,0.00027161016,0.0027395783,0.004770374,0.0018301045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008605783,0.0009563955,0.0011382169,0.0044931984,0.0033512355,0.006912556,0.0036556863,0.0021566267,0.1306194],"category_scores_gemma":[0.029851113,0.00055254134,0.00073246117,0.0039121583,0.0008660937,0.008732393,0.007408026,0.0026070944,0.05574882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076490943,0.0002917772,0.0014595608,0.000591858,0.00006915249,0.00046882755,0.0015876393,0.0010282346,0.0030114097,0.024047378,0.8094607,0.15721856],"study_design_scores_gemma":[0.00009980335,0.00007039543,0.0009369025,0.00024047666,0.000043515654,0.00015293703,0.0008185966,0.0065216306,0.0036032752,0.013910555,0.9735541,0.0000479197],"about_ca_topic_score_codex":0.012455276,"about_ca_topic_score_gemma":0.020459441,"teacher_disagreement_score":0.1306194,"about_ca_system_score_codex":0.0023946362,"about_ca_system_score_gemma":0.007096916,"threshold_uncertainty_score":0.43696547},"labels":[],"label_agreement":null},{"id":"W2807157563","doi":"","title":"Populating a Knowledge Base with Information about Events.","year":2015,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge base; Base (topology); Information retrieval; World Wide Web; Mathematics","score_opus":0.016325288300349426,"score_gpt":0.25999100977519013,"score_spread":0.2436657214748407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807157563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021580484,0.0018366171,0.93996936,0.0013125688,0.00048378317,0.00044550895,0.006306654,0.0058100834,0.022254998],"genre_scores_gemma":[0.17647776,0.0027088872,0.78713983,0.00072122307,0.00023202736,0.0003242047,0.019924762,0.00078628736,0.011684996],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978264,0.00046329913,0.0002081712,0.0004622966,0.0008614873,0.0001783989],"domain_scores_gemma":[0.9948965,0.0025739344,0.00022290029,0.0012527349,0.00082836545,0.00022563964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002774362,0.0010787145,0.0015997279,0.007041506,0.0018942028,0.007185187,0.0035885384,0.00222707,0.0089909],"category_scores_gemma":[0.014528867,0.0009713613,0.0022377572,0.0059833894,0.0009876682,0.010453804,0.00745992,0.0021903943,0.0047994973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008888029,0.0007196682,0.006507147,0.0023043312,0.0007867088,0.0048214514,0.0034226319,0.040825006,0.017944172,0.1898843,0.05083577,0.68106],"study_design_scores_gemma":[0.00012802858,0.00016861483,0.0024115525,0.001734967,0.0011485294,0.0014110226,0.0026400548,0.20554245,0.036050495,0.49318254,0.25535238,0.0002293087],"about_ca_topic_score_codex":0.0057018646,"about_ca_topic_score_gemma":0.007567433,"teacher_disagreement_score":0.0089909,"about_ca_system_score_codex":0.000852215,"about_ca_system_score_gemma":0.0026268435,"threshold_uncertainty_score":0.030077577},"labels":[],"label_agreement":null},{"id":"W2807368023","doi":"10.1007/978-3-319-93417-4_44","title":"Optimizing Semantic Reasoning on Memory-Constrained Platforms Using the RETE Algorithm","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Semantic Web; Ontology; Mobile device; Leverage (statistics); Scalability; Semantics (computer science); Pooling; Artificial intelligence; Database; Programming language; World Wide Web","score_opus":0.02819637786769626,"score_gpt":0.26027225228071166,"score_spread":0.2320758744130154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807368023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052932438,0.0007145143,0.9266131,0.0009852287,0.00018242045,0.00023673718,0.00071554974,0.0068574166,0.010762612],"genre_scores_gemma":[0.34118038,0.00030125378,0.64774907,0.00026475568,0.00009159192,0.00017165348,0.001594642,0.0014064228,0.007240272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971577,0.0007811601,0.000184257,0.0006655364,0.0007287617,0.00048262515],"domain_scores_gemma":[0.99480575,0.0033661223,0.00017621976,0.0010612807,0.00045675598,0.00013376655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002363278,0.0017003153,0.0022513513,0.0016640351,0.0015081313,0.0042597475,0.0032756003,0.0024947869,0.011529247],"category_scores_gemma":[0.012073204,0.0014312542,0.0031542971,0.0020916138,0.001760728,0.009205128,0.0040330733,0.0033457314,0.0021230136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007313287,0.0005021552,0.0011498154,0.0005550967,0.00029267417,0.00041157645,0.00028175316,0.5886205,0.0060501024,0.108128816,0.016867466,0.2764088],"study_design_scores_gemma":[0.000051770854,0.000023561095,0.00007720908,0.00002161331,0.00004619713,0.000039623555,0.00007450483,0.89401376,0.0016971587,0.10266632,0.0012750425,0.000013269292],"about_ca_topic_score_codex":0.010641641,"about_ca_topic_score_gemma":0.023052676,"teacher_disagreement_score":0.011529247,"about_ca_system_score_codex":0.0021353585,"about_ca_system_score_gemma":0.0029560402,"threshold_uncertainty_score":0.038569152},"labels":[],"label_agreement":null},{"id":"W2808530902","doi":"10.1109/tcbb.2018.2847336","title":"Bioinformatic Workflow Extraction from Scientific Texts based on Word Sense Disambiguation","year":2018,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Workflow; Computer science; Ontology; Workflow technology; Domain (mathematical analysis); Context (archaeology); Workflow management system; Process (computing); Natural language processing; Workflow engine; Artificial intelligence; Information retrieval; Database; Programming language","score_opus":0.0248547454379561,"score_gpt":0.28702228919862105,"score_spread":0.262167543760665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808530902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010846553,0.001137262,0.97405475,0.00062769884,0.00030763744,0.00076934334,0.002949165,0.005749949,0.0035578099],"genre_scores_gemma":[0.03604491,0.0007520193,0.95508295,0.00014136183,0.0000926986,0.00046802984,0.0060375384,0.00044077123,0.00093975477],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99438596,0.0010629585,0.0012156178,0.0016153348,0.0015060245,0.00021411976],"domain_scores_gemma":[0.99299157,0.0035059375,0.0008759413,0.0010194621,0.0014191921,0.00018788164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003502856,0.002059254,0.0014059941,0.017492224,0.002335558,0.0037400404,0.0019178414,0.0014946202,0.0040583736],"category_scores_gemma":[0.012244769,0.0009602358,0.0026595918,0.008701409,0.001789039,0.0053862277,0.0036352507,0.0019239895,0.0041627064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042666777,0.0003993388,0.0036775242,0.0038561465,0.0002968905,0.002947401,0.0044777663,0.010154473,0.05280566,0.057707757,0.026718114,0.8365323],"study_design_scores_gemma":[0.0003245899,0.00020217446,0.0075536473,0.0020312618,0.0006847299,0.006185695,0.005061293,0.23091191,0.11569859,0.28864905,0.34216067,0.00053634157],"about_ca_topic_score_codex":0.002554725,"about_ca_topic_score_gemma":0.0030687733,"teacher_disagreement_score":0.017492224,"about_ca_system_score_codex":0.001165187,"about_ca_system_score_gemma":0.0036836276,"threshold_uncertainty_score":0.018525124},"labels":[],"label_agreement":null},{"id":"W2808666329","doi":"10.29173/iq897","title":"DDI-RDF Discovery – A Discovery Model for Microdata","year":2015,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit van Tilburg; Universität Mannheim; Berner Fachhochschule; Leibniz-Gemeinschaft; University of Toronto","keywords":"Microdata (statistics); RDF; Computer science; Information retrieval; Data science; Medicine; Semantic Web","score_opus":0.05919278770794405,"score_gpt":0.2823203444787679,"score_spread":0.22312755677082385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808666329","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007149048,0.0003269086,0.98128456,0.0019203485,0.00022564386,0.0003003976,0.00254301,0.0058785444,0.006805785],"genre_scores_gemma":[0.037407808,0.0012486594,0.9315041,0.002478276,0.00028190666,0.00080378616,0.013942025,0.002596297,0.0097371675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9856579,0.0042082807,0.0021085376,0.0020757755,0.005271073,0.00067849166],"domain_scores_gemma":[0.9803515,0.0059079886,0.0011646142,0.008250506,0.0035445855,0.0007808979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015910117,0.0013322054,0.002403817,0.00813289,0.0039682365,0.013300402,0.0057772524,0.003470321,0.005851697],"category_scores_gemma":[0.026539493,0.0023029626,0.004376397,0.00887914,0.0036417956,0.023149578,0.010112158,0.0071101366,0.00428477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015345459,0.00013385709,0.0015155857,0.0006248185,0.00019637494,0.0003923611,0.00089281047,0.011376148,0.0015942849,0.8607359,0.04274977,0.079634584],"study_design_scores_gemma":[0.00003594379,0.000022117061,0.00024251665,0.00025275236,0.00010305973,0.00043596124,0.0002743245,0.08935869,0.006571788,0.60029435,0.30229595,0.00011252791],"about_ca_topic_score_codex":0.01356795,"about_ca_topic_score_gemma":0.015355453,"teacher_disagreement_score":0.015910117,"about_ca_system_score_codex":0.0049167564,"about_ca_system_score_gemma":0.008800716,"threshold_uncertainty_score":0.08414173},"labels":[],"label_agreement":null},{"id":"W2808970209","doi":"10.3138/jsp.49.3.04","title":"Digital Open Annotation with Hypothesis: Supplying the Missing Capability of the Web","year":2018,"lang":"en","type":"article","venue":"Journal of Scholarly Publishing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Annotation; World Wide Web; Computer science; Workflow; Web page; Information retrieval; Database; Artificial intelligence","score_opus":0.04479587827227622,"score_gpt":0.2562373651870188,"score_spread":0.21144148691474257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808970209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009335917,0.0038478505,0.78068453,0.071371295,0.0070512816,0.00031327776,0.0059887185,0.026872227,0.09453496],"genre_scores_gemma":[0.19433023,0.0074398275,0.68499374,0.018680437,0.00734189,0.0011113763,0.021342749,0.01626092,0.04849879],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.97856987,0.010530353,0.001656284,0.0032679224,0.0053544343,0.00062116934],"domain_scores_gemma":[0.8483534,0.07783879,0.0044152103,0.053549033,0.012099299,0.00374434],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03403305,0.0010527587,0.0015400867,0.009481243,0.005835298,0.020994479,0.0051165903,0.0054013385,0.03188362],"category_scores_gemma":[0.12625486,0.001309867,0.0015570319,0.007885517,0.01773384,0.0543627,0.022223838,0.0063784006,0.019510284],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030065843,0.000088271765,0.0019509561,0.000929279,0.000057180252,0.000743932,0.006363513,0.0009143799,0.0029522965,0.7236443,0.10745484,0.15460038],"study_design_scores_gemma":[0.000044650078,0.000025826555,0.0003752175,0.0005336795,0.000034974062,0.0002307122,0.0015184908,0.0039376253,0.0029004589,0.48174888,0.5085748,0.00007467049],"about_ca_topic_score_codex":0.0023073754,"about_ca_topic_score_gemma":0.0021681779,"teacher_disagreement_score":0.9790055,"about_ca_system_score_codex":0.0033042578,"about_ca_system_score_gemma":0.0093993815,"threshold_uncertainty_score":0.17998612},"labels":[],"label_agreement":null},{"id":"W2810979461","doi":"10.33137/js.v1i0.27158","title":"Reformulating the Second Law","year":2017,"lang":"en","type":"article","venue":"Scientonomy Journal for the Science of Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Outcome (game theory); Computer science; Calculus (dental); Mathematical economics; Mathematics","score_opus":0.051468907861278744,"score_gpt":0.33346978090907686,"score_spread":0.28200087304779814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810979461","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019182378,0.0034243132,0.29624242,0.10050089,0.004727443,0.00062206195,0.0007272759,0.00045505946,0.57411826],"genre_scores_gemma":[0.70136887,0.0018654527,0.16102251,0.04616856,0.0037092126,0.0018952296,0.0005808333,0.0004520707,0.08293728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.971001,0.009881118,0.0018917851,0.0070378487,0.00795715,0.0022310668],"domain_scores_gemma":[0.9656145,0.017490286,0.0023447126,0.0059873853,0.0078092497,0.0007538648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029603247,0.0011868281,0.0014369333,0.0028284586,0.005253122,0.009755349,0.003352091,0.007721247,0.015367918],"category_scores_gemma":[0.051028907,0.00078946946,0.002495804,0.0015457378,0.036154862,0.023338078,0.006993138,0.01321802,0.003197972],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005646183,0.000006722046,0.00008080056,0.000017001692,0.0000039018996,0.000024916335,0.0003909927,0.0001045279,0.0000265597,0.9952242,0.0020052579,0.0021094414],"study_design_scores_gemma":[0.000024230383,0.00001728193,0.00014862469,0.000078272,0.0000087334665,0.000072065464,0.00017675677,0.0010843099,0.00014649515,0.9701782,0.028047508,0.000017558734],"about_ca_topic_score_codex":0.011862468,"about_ca_topic_score_gemma":0.0061585926,"teacher_disagreement_score":0.029603247,"about_ca_system_score_codex":0.011789176,"about_ca_system_score_gemma":0.00974696,"threshold_uncertainty_score":0.15655881},"labels":[],"label_agreement":null},{"id":"W2817291747","doi":"","title":"A Personal Research Agent for Semantic Knowledge Management of Scientific Literature","year":2018,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Knowledge base; World Wide Web; Domain knowledge; Personal knowledge management; Information overload; Semantic Web; Linked data; Data science; Reading (process); Construct (python library); Knowledge management; Information retrieval; Organizational learning","score_opus":0.07126839871484929,"score_gpt":0.33261271582269375,"score_spread":0.26134431710784445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2817291747","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01889101,0.0005390396,0.92980266,0.0044913325,0.00033605038,0.000998608,0.0004692903,0.008027508,0.03644448],"genre_scores_gemma":[0.10971849,0.00048008552,0.8569195,0.00077554584,0.0002500294,0.00079018396,0.0008624847,0.00053145643,0.029672168],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99614316,0.0016530214,0.00029331315,0.0007640902,0.00098742,0.00015903781],"domain_scores_gemma":[0.9925022,0.0031901614,0.00062319555,0.0017919649,0.0011901798,0.00070234976],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006524452,0.0007025278,0.00074136566,0.002617054,0.003060523,0.005252746,0.0027797471,0.0027632562,0.0096295085],"category_scores_gemma":[0.013697406,0.0006341992,0.0012117334,0.0019947174,0.002250061,0.009424076,0.005558126,0.0024151294,0.004909311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006684286,0.0013892766,0.0066324333,0.0008400156,0.00019432089,0.0016732053,0.01844477,0.011489733,0.028715204,0.46961734,0.046748508,0.41358683],"study_design_scores_gemma":[0.00017609773,0.0002922019,0.0011246221,0.00022591157,0.00026762273,0.0010962505,0.004311516,0.19864169,0.029341595,0.14474042,0.6196375,0.00014458023],"about_ca_topic_score_codex":0.0016139068,"about_ca_topic_score_gemma":0.0026007213,"teacher_disagreement_score":0.9947473,"about_ca_system_score_codex":0.0014201663,"about_ca_system_score_gemma":0.003840772,"threshold_uncertainty_score":0.03450507},"labels":[],"label_agreement":null},{"id":"W282207472","doi":"10.29173/cais248","title":"Diachronic and Synchronic Indexing: Modeling Conceptual Change in Indexing Languages","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Search engine indexing; Indexation; Metadata; Computer science; Meaning (existential); Dimension (graph theory); Linguistics; Language change; Information retrieval; Philosophy; Mathematics; Epistemology; World Wide Web; Combinatorics","score_opus":0.05260217510393097,"score_gpt":0.27183505761527577,"score_spread":0.2192328825113448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W282207472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028405132,0.00055304146,0.935402,0.001713956,0.00011307034,0.00023556985,0.0002806145,0.00079556333,0.032501135],"genre_scores_gemma":[0.4285638,0.000652008,0.55655086,0.00032427747,0.00011690891,0.0007029059,0.0009242975,0.00045078958,0.011714202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947919,0.0022420886,0.00052294985,0.0008975361,0.0011754641,0.00037002686],"domain_scores_gemma":[0.9893579,0.0052367053,0.0010814986,0.0027012092,0.0011934278,0.00042931968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00773761,0.0006185542,0.0005835735,0.0037128842,0.0021565433,0.0074840407,0.0032488003,0.0022784132,0.0047943],"category_scores_gemma":[0.017753836,0.0009572265,0.001893332,0.0033942,0.008064528,0.020820873,0.0050771744,0.0031565363,0.001174994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042026124,0.00003329112,0.0011618673,0.000070242575,0.000012625886,0.000120093624,0.005925034,0.009990618,0.0007111811,0.9679575,0.00053424516,0.01344125],"study_design_scores_gemma":[0.000062342304,0.00007630963,0.00082594476,0.00013827394,0.000059765855,0.00034761947,0.0024406055,0.1360907,0.002398857,0.78609836,0.071380846,0.00008036325],"about_ca_topic_score_codex":0.012184303,"about_ca_topic_score_gemma":0.0069956025,"teacher_disagreement_score":0.012184303,"about_ca_system_score_codex":0.0050622965,"about_ca_system_score_gemma":0.003368008,"threshold_uncertainty_score":0.040920854},"labels":[],"label_agreement":null},{"id":"W283472482","doi":"","title":"Tableau-based Reasoning for Description Logics with Inverse Roles and Number Restrictions","year":2008,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Correctness; Satisfiability; Computer science; Description logic; Theoretical computer science; Inverse; EXPTIME; Boolean satisfiability problem; Algorithm; Mathematics; Computational complexity theory","score_opus":0.0385694092692857,"score_gpt":0.2732190045894985,"score_spread":0.2346495953202128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W283472482","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052620852,0.00012497364,0.9901912,0.00037045433,0.00003985151,0.00014670657,0.00018247415,0.00069135346,0.0029908267],"genre_scores_gemma":[0.08151636,0.00027422665,0.9124999,0.00024058962,0.000059305105,0.00027289536,0.00059500814,0.00019702081,0.004344614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99584097,0.0013135192,0.0004342566,0.0007147619,0.0013760544,0.00032052153],"domain_scores_gemma":[0.98386854,0.0131780375,0.000487049,0.001348886,0.0009348634,0.00018255493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00464895,0.0010373791,0.00097302307,0.001456803,0.0014569216,0.005173338,0.0031183166,0.0012912976,0.009255609],"category_scores_gemma":[0.01712289,0.0010584142,0.0031985918,0.002078534,0.0036049935,0.010409199,0.0024945461,0.0048994203,0.0014000596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023330779,0.00017675101,0.00062532845,0.0004853027,0.00007456076,0.00024955336,0.000848965,0.057721987,0.006494839,0.7982537,0.0050274213,0.12980834],"study_design_scores_gemma":[0.0000903562,0.000062541425,0.00014711141,0.00010573506,0.00007256946,0.00012410797,0.00020192318,0.31959528,0.014877413,0.65217334,0.012506843,0.000042859858],"about_ca_topic_score_codex":0.0062195593,"about_ca_topic_score_gemma":0.009630928,"teacher_disagreement_score":0.009255609,"about_ca_system_score_codex":0.004939295,"about_ca_system_score_gemma":0.003909242,"threshold_uncertainty_score":0.035837233},"labels":[],"label_agreement":null},{"id":"W283737480","doi":"10.1007/978-3-319-13560-1_47","title":"On Adding Inverse Features to the Description Logic $\\mathcal{CFD}^{\\forall}_{nc}$","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inverse; Computer science; P; Consistency (knowledge bases); Description logic; Relevance (law); Knowledge base; Theoretical computer science; Programming language; Artificial intelligence; Algebra over a field; Algorithm; Discrete mathematics; Mathematics; Time complexity; Pure mathematics","score_opus":0.03340130350349511,"score_gpt":0.2541787071222294,"score_spread":0.2207774036187343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W283737480","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045164037,0.0009939116,0.9117068,0.0026113137,0.00084670534,0.00015869239,0.0005624589,0.0042077983,0.07439593],"genre_scores_gemma":[0.068833835,0.0016334021,0.871037,0.002568132,0.0003590816,0.0002622231,0.0024347487,0.0023465403,0.050525118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808025,0.0004446307,0.00015412815,0.00029421106,0.00086630345,0.00016053561],"domain_scores_gemma":[0.99788946,0.0009293766,0.000050140046,0.0006759688,0.00038363904,0.0000714968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020810596,0.0010421555,0.00078183046,0.0016242934,0.0012556226,0.003964224,0.0027791217,0.0016177299,0.016008817],"category_scores_gemma":[0.005371205,0.00092126813,0.0026900135,0.0016676578,0.0024839551,0.011775057,0.0056863385,0.005202172,0.00503755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075499454,0.00007288797,0.00013341306,0.0002481162,0.00002852211,0.00012396,0.00024521854,0.0027774516,0.0017888251,0.7614201,0.019640237,0.2134458],"study_design_scores_gemma":[0.000031572148,0.000033282566,0.00010262013,0.00016496827,0.000066423556,0.00022726768,0.000079404024,0.02349099,0.0044845273,0.80050325,0.17076279,0.000052748295],"about_ca_topic_score_codex":0.005117258,"about_ca_topic_score_gemma":0.0090855565,"teacher_disagreement_score":0.016008817,"about_ca_system_score_codex":0.0016439236,"about_ca_system_score_gemma":0.0014090636,"threshold_uncertainty_score":0.053554833},"labels":[],"label_agreement":null},{"id":"W284200740","doi":"10.7202/1064957ar","title":"CAUGHT IN THE NET. NOTES FROM THE ELECTRONIC UNDERGROUND","year":2019,"lang":"en","type":"article","venue":"Surfaces","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Legitimation; Political science; Sociology; Public relations; Law; Politics","score_opus":0.014820150271249841,"score_gpt":0.2356075652262179,"score_spread":0.22078741495496806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W284200740","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010712371,0.0122903995,0.0012341215,0.4301542,0.0059261536,0.000012323319,0.0003009827,0.00007967487,0.5392898],"genre_scores_gemma":[0.29233104,0.011739169,0.0011827353,0.14008775,0.0035595158,0.00007354827,0.0002946134,0.00042971308,0.55030197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924254,0.00026063577,0.000026549957,0.000107974534,0.00019578214,0.00016646742],"domain_scores_gemma":[0.99825066,0.0011096883,0.000097791424,0.00014782071,0.00021624587,0.0001777408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013298094,0.00037247912,0.00019447369,0.00095577654,0.010463209,0.008793988,0.00071446813,0.0053282664,0.03237795],"category_scores_gemma":[0.004671315,0.00024804295,0.00023210562,0.0016621004,0.0100141615,0.016894357,0.0038252503,0.0061805295,0.007318859],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053880605,0.00001348434,0.00036113526,0.000057322795,0.0000031051004,0.0003820574,0.020121198,0.000046466546,0.00010481879,0.51085436,0.44550115,0.022501048],"study_design_scores_gemma":[0.0000069494504,0.0000064726355,0.00037039214,0.00026651035,0.000002409914,0.00017392111,0.024735624,0.00003789395,0.00013636432,0.05644605,0.9178077,0.000009776082],"about_ca_topic_score_codex":0.008337189,"about_ca_topic_score_gemma":0.02160397,"teacher_disagreement_score":0.03237795,"about_ca_system_score_codex":0.0022443612,"about_ca_system_score_gemma":0.0016671877,"threshold_uncertainty_score":0.10831505},"labels":[],"label_agreement":null},{"id":"W2849292054","doi":"","title":"Automatically Extracting Qualia Relations for the Rich Event Ontology","year":2018,"lang":"en","type":"article","venue":"International Conference on Computational Linguistics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Qualia; Computer science; Ontology; Commonsense knowledge; Event (particle physics); Artificial intelligence; Focus (optics); Semantics (computer science); Structuring; Ontology learning; Natural language processing; Upper ontology; Suggested Upper Merged Ontology; Knowledge extraction; Semantic Web; Epistemology; Consciousness","score_opus":0.08858363997313826,"score_gpt":0.3894872429872838,"score_spread":0.30090360301414554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2849292054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07593526,0.0004658147,0.87947166,0.0016229429,0.00024422753,0.00055378064,0.01537709,0.0064450433,0.019884313],"genre_scores_gemma":[0.27930287,0.0006309386,0.6833987,0.0002688315,0.000075815624,0.00034556034,0.032557737,0.00084585906,0.0025736266],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99872094,0.00020691706,0.00020406397,0.00032877937,0.00043404425,0.000105235034],"domain_scores_gemma":[0.9973648,0.0011323236,0.00036675762,0.0004791164,0.0005501529,0.00010680433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016493395,0.00067766325,0.00050903205,0.007603145,0.0015567199,0.0025980708,0.0009499292,0.0008025821,0.0045409207],"category_scores_gemma":[0.0078090136,0.00051982066,0.0014935299,0.004382984,0.00080581213,0.0066111768,0.002690648,0.001793984,0.0018418159],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002642147,0.00042414942,0.017590646,0.0014152649,0.0001627865,0.0024512925,0.0052598766,0.011248643,0.04634036,0.429867,0.045578495,0.43939728],"study_design_scores_gemma":[0.00007317478,0.00008068225,0.015653618,0.00056368305,0.00021259068,0.0014231284,0.0054767006,0.25932044,0.032221302,0.3961098,0.28868073,0.0001841838],"about_ca_topic_score_codex":0.007987111,"about_ca_topic_score_gemma":0.018286454,"teacher_disagreement_score":0.007987111,"about_ca_system_score_codex":0.0017932439,"about_ca_system_score_gemma":0.0028189605,"threshold_uncertainty_score":0.01588124},"labels":[],"label_agreement":null},{"id":"W2883207796","doi":"10.1145/3194696.3194706","title":"An ontology for a patient-centric healthcare interoperability framework","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interoperability; Health care; Gateway (web page); Computer science; Key (lock); Ontology; World Wide Web; Patient portal; Internet privacy; Computer security","score_opus":0.02954748684997716,"score_gpt":0.3217105425556843,"score_spread":0.29216305570570716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883207796","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011953831,0.00070944807,0.9803442,0.0035707566,0.0003197733,0.00080858485,0.00073678716,0.0015607032,0.010754406],"genre_scores_gemma":[0.023372443,0.0011316707,0.9672262,0.00118128,0.00017428191,0.0011095288,0.0022038645,0.00024075435,0.0033598717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9914693,0.0030007765,0.0015539804,0.0008254792,0.002541565,0.000608775],"domain_scores_gemma":[0.9965724,0.001015831,0.00034224777,0.0008368224,0.00067197095,0.00056074804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010547448,0.0011203352,0.0012869536,0.004829119,0.0030275385,0.0077296398,0.0048216335,0.005052989,0.0032224138],"category_scores_gemma":[0.006603158,0.0010131154,0.0031963277,0.005259482,0.004155336,0.011421994,0.0073710917,0.006312647,0.001878572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003007691,0.00011702224,0.0003958313,0.00031305308,0.00006111855,0.0004626927,0.0012285915,0.005375354,0.0014603827,0.94366914,0.01214091,0.034745917],"study_design_scores_gemma":[0.000043771477,0.00007164416,0.0004886546,0.0007052178,0.00008335458,0.0009001986,0.0008469698,0.04595928,0.001344397,0.56249815,0.38695365,0.000104714716],"about_ca_topic_score_codex":0.01476715,"about_ca_topic_score_gemma":0.013984381,"teacher_disagreement_score":0.01476715,"about_ca_system_score_codex":0.004156676,"about_ca_system_score_gemma":0.013971422,"threshold_uncertainty_score":0.055780888},"labels":[],"label_agreement":null},{"id":"W2883760242","doi":"10.23974/ijol.2018.vol3.1.74","title":"Guest Editorial on Linked Data","year":2018,"lang":"en","type":"editorial","venue":"International Journal of Librarianship","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Data science; Information retrieval","score_opus":0.05614285686413608,"score_gpt":0.3297757609103088,"score_spread":0.27363290404617274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883760242","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000037760936,0.0022715232,0.00013105973,0.032921385,0.96222925,0.00001823396,0.00010195539,0.00006592461,0.0022229278],"genre_scores_gemma":[0.00043711302,0.0022474444,0.00010490757,0.015516465,0.9693164,0.000028394674,0.000091032256,0.00008440404,0.012173682],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9914846,0.0016261676,0.0009344246,0.00096179976,0.0043131276,0.0006798995],"domain_scores_gemma":[0.9648605,0.011374131,0.0024832936,0.0014409738,0.014786168,0.0050549014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007498786,0.0029126618,0.0030526503,0.0071017593,0.0034681335,0.010615342,0.0025895664,0.011737662,0.043838043],"category_scores_gemma":[0.04258189,0.0009484274,0.0026587446,0.002678191,0.002447813,0.004789934,0.0036034626,0.013497235,0.02273338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016588945,0.000006468659,0.000016670447,0.00007475281,0.000008330046,0.000104645675,0.000008430762,0.000008850534,0.000027550055,0.00021246875,0.9964881,0.0030271586],"study_design_scores_gemma":[0.000039499184,0.000013403889,0.000115908486,0.00033596696,0.000026776925,0.000177838,0.00003448425,0.000057457662,0.00007193244,0.0010030442,0.9981129,0.000010684667],"about_ca_topic_score_codex":0.0009699423,"about_ca_topic_score_gemma":0.0024803695,"teacher_disagreement_score":0.043838043,"about_ca_system_score_codex":0.0028802303,"about_ca_system_score_gemma":0.0033761521,"threshold_uncertainty_score":0.14665288},"labels":[],"label_agreement":null},{"id":"W2884409723","doi":"10.23974/ijol.2018.vol3.1.64","title":"Represent Changes of Knowledge Organization Systems on the Semantic Web","year":2018,"lang":"en","type":"article","venue":"International Journal of Librarianship","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Simple Knowledge Organization System; Computer science; Knowledge organization; Semantic Web; Information retrieval; Linked data; Controlled vocabulary; World Wide Web; RDF; SPARQL","score_opus":0.04838198376158722,"score_gpt":0.27568229972238056,"score_spread":0.22730031596079334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884409723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1975645,0.002116333,0.6488764,0.009709374,0.00078082184,0.00057634286,0.0036994466,0.003992793,0.13268393],"genre_scores_gemma":[0.7240375,0.0016237261,0.25144842,0.00074400945,0.00015310135,0.00031077935,0.0034851423,0.00053591497,0.017661396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99660647,0.001023559,0.00045720435,0.00056846224,0.0010534058,0.00029095664],"domain_scores_gemma":[0.99457043,0.0016776477,0.00069246936,0.0017005439,0.0011366103,0.00022215588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002889357,0.00038819393,0.00044658943,0.0036424722,0.0014157102,0.009368534,0.0013483352,0.001681827,0.003984421],"category_scores_gemma":[0.00974326,0.00039538837,0.00065540895,0.0061133583,0.0030337092,0.019615812,0.00367409,0.0020838294,0.0009255497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013373398,0.000117848875,0.0062431744,0.0002976948,0.0000742172,0.0010846697,0.017231587,0.009281301,0.0035931594,0.8374066,0.007140918,0.117394984],"study_design_scores_gemma":[0.000042559415,0.000054930988,0.0039990842,0.00029188461,0.00012094059,0.00059935945,0.010227882,0.050220907,0.0062405122,0.6430407,0.28507224,0.000088934044],"about_ca_topic_score_codex":0.0071622026,"about_ca_topic_score_gemma":0.005040136,"teacher_disagreement_score":0.009368534,"about_ca_system_score_codex":0.0027936422,"about_ca_system_score_gemma":0.0017850464,"threshold_uncertainty_score":0.020269394},"labels":[],"label_agreement":null},{"id":"W2884489647","doi":"","title":"Gestion d'échantillons pour la recherche scientifique avec Collec-Science","year":2018,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de Saint-Laurent","funders":"","keywords":"Humanities; Political science; Library science; Art; Computer science","score_opus":0.10957661519453303,"score_gpt":0.30251955121163665,"score_spread":0.1929429360171036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884489647","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049239673,0.0007401915,0.8871028,0.0063902554,0.00038060936,0.00079172,0.0006012081,0.033652652,0.021100909],"genre_scores_gemma":[0.24527389,0.0011110726,0.714742,0.0015793749,0.00047373722,0.0014928264,0.0023994707,0.0042890054,0.02863864],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97463393,0.008118828,0.0028431083,0.004499006,0.008781284,0.0011238498],"domain_scores_gemma":[0.93653345,0.027414786,0.00515098,0.019290997,0.008101001,0.0035088127],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.041151796,0.0012332099,0.0015198707,0.003211466,0.0038116558,0.018090906,0.0025258136,0.0035594583,0.006051719],"category_scores_gemma":[0.04375869,0.0014903339,0.0022180257,0.002976944,0.0036497614,0.011815853,0.01011338,0.0049422444,0.0046388307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014409032,0.0010165477,0.059384592,0.0011006108,0.00076552975,0.0019577565,0.030967051,0.01806041,0.08640793,0.20535044,0.03256182,0.56098646],"study_design_scores_gemma":[0.00032136115,0.00090727495,0.023505433,0.0006013937,0.00042651786,0.0010212237,0.0044951392,0.08701295,0.07323772,0.09091982,0.71691704,0.00063411525],"about_ca_topic_score_codex":0.0060656033,"about_ca_topic_score_gemma":0.003654705,"teacher_disagreement_score":0.9974742,"about_ca_system_score_codex":0.002551029,"about_ca_system_score_gemma":0.007030229,"threshold_uncertainty_score":0.21763408},"labels":[],"label_agreement":null},{"id":"W28871240","doi":"10.3389/fendo.2017.00209","title":"A generic framework for description logics with uncertainty","year":2005,"lang":"en","type":"article","venue":"Uncertainty Reasoning for the Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministero della Salute","keywords":"Rotation formalisms in three dimensions; Computer science; Semantics (computer science); Extension (predicate logic); Description logic; Theoretical computer science; Algorithm; Programming language; Mathematics","score_opus":0.03322113495862273,"score_gpt":0.2665567197968676,"score_spread":0.2333355848382449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W28871240","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008795033,0.00048266785,0.9927254,0.0007383314,0.000084165564,0.00020856819,0.00060847844,0.0013502226,0.0029226888],"genre_scores_gemma":[0.051338,0.0013434731,0.94007194,0.0007429969,0.00026266286,0.0007693425,0.002149207,0.00035942075,0.0029629432],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99179065,0.0029252395,0.0015303554,0.0011780297,0.0020078847,0.00056775537],"domain_scores_gemma":[0.99261814,0.0042828107,0.00042733678,0.0014953212,0.0008337325,0.00034264446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010811527,0.0018350501,0.0018352895,0.003600685,0.002238967,0.008393326,0.0054075513,0.0029228218,0.0070640426],"category_scores_gemma":[0.01290896,0.001496863,0.008059068,0.0045036334,0.0035379601,0.0094234,0.0073758974,0.005319638,0.0023985957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007302112,0.000059413775,0.00032603042,0.00057418196,0.00016016346,0.00042591905,0.0004418844,0.022569941,0.0008121857,0.90696007,0.005659498,0.06193769],"study_design_scores_gemma":[0.0000608493,0.000038164028,0.000095256924,0.00022776278,0.00012756015,0.0002884416,0.00016543615,0.091052406,0.00093838625,0.85257256,0.054380022,0.00005311492],"about_ca_topic_score_codex":0.007901876,"about_ca_topic_score_gemma":0.008411713,"teacher_disagreement_score":0.010811527,"about_ca_system_score_codex":0.0036076338,"about_ca_system_score_gemma":0.0034930892,"threshold_uncertainty_score":0.057177484},"labels":[],"label_agreement":null},{"id":"W2889272789","doi":"10.14778/3229863.3236248","title":"Tooling framework for instantiating natural language querying system","year":2018,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Schema (genetic algorithms); Natural language; Natural language user interface; Query language; Programming language; Database schema; Information retrieval; Database; Software engineering; Database design; Natural language processing","score_opus":0.014094250275580228,"score_gpt":0.26261730427254903,"score_spread":0.2485230539969688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889272789","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012517386,0.000095388816,0.9776469,0.00022140797,0.000036306923,0.00037595732,0.00029551642,0.016507808,0.0035689862],"genre_scores_gemma":[0.031734005,0.000281086,0.9599574,0.00022927375,0.00004237241,0.000710365,0.0015524109,0.0016994793,0.003793603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954775,0.0011509176,0.0008014962,0.0009137275,0.0012973701,0.0003589983],"domain_scores_gemma":[0.99745804,0.0010578946,0.00012398277,0.00072009745,0.0004268577,0.00021309237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075467196,0.0014260325,0.0013750015,0.0037845427,0.0018391203,0.006654073,0.0047799833,0.0026570042,0.009651029],"category_scores_gemma":[0.0069000334,0.0014510723,0.0031743676,0.0016408899,0.0024357487,0.0062529435,0.005607085,0.0032435623,0.004750265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022814452,0.0004157272,0.0022607516,0.0009532354,0.0001548965,0.0034329174,0.0031183378,0.035801895,0.02301769,0.7306815,0.024439001,0.17549585],"study_design_scores_gemma":[0.00017080171,0.00016427407,0.0005197435,0.0004168978,0.00014992784,0.0021639278,0.00052912027,0.32789874,0.026967302,0.2596048,0.381184,0.00023044438],"about_ca_topic_score_codex":0.0054320158,"about_ca_topic_score_gemma":0.0042880718,"teacher_disagreement_score":0.009651029,"about_ca_system_score_codex":0.0018209646,"about_ca_system_score_gemma":0.0032646765,"threshold_uncertainty_score":0.03991139},"labels":[],"label_agreement":null},{"id":"W2890600889","doi":"10.5194/isprs-annals-iv-4-89-2018","title":"A SEMANTIC GRAPH DATABASE FOR BIM-GIS INTEGRATED INFORMATION MODEL FOR AN INTELLIGENT URBAN MOBILITY WEB APPLICATION","year":2018,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Graph database; RDF; Database; Information retrieval; Semantic Web; Graph; Theoretical computer science","score_opus":0.08048115437673738,"score_gpt":0.33649644603649337,"score_spread":0.256015291659756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890600889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017644638,0.00047590106,0.91526073,0.0010279336,0.0001967716,0.00075022987,0.012702858,0.029073352,0.02286764],"genre_scores_gemma":[0.23025519,0.0011478036,0.6953498,0.00056528323,0.00006297448,0.0010922451,0.05320303,0.0023301651,0.015993532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989466,0.00018768599,0.00015082907,0.00020727984,0.0004345727,0.00007300632],"domain_scores_gemma":[0.9993079,0.00009818409,0.000047836595,0.00023374929,0.00025256976,0.00005973806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012478783,0.0007033173,0.00066406874,0.0031159814,0.00090182474,0.004159462,0.002464356,0.0010807661,0.00590745],"category_scores_gemma":[0.0018758345,0.00041416314,0.0011408133,0.0030046615,0.00060956227,0.0035594434,0.0021175253,0.0010452839,0.002609079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061884656,0.0006929702,0.008932726,0.0010624707,0.00029290744,0.0028035145,0.0016885812,0.11911192,0.021187594,0.43110454,0.10484944,0.3076544],"study_design_scores_gemma":[0.00009475063,0.00008141076,0.0019291735,0.00023079438,0.00015829112,0.00077485177,0.0006776596,0.5006273,0.022513758,0.07527631,0.39750406,0.00013164159],"about_ca_topic_score_codex":0.014714698,"about_ca_topic_score_gemma":0.01432284,"teacher_disagreement_score":0.014714698,"about_ca_system_score_codex":0.0015651099,"about_ca_system_score_gemma":0.0023581302,"threshold_uncertainty_score":0.029258072},"labels":[],"label_agreement":null},{"id":"W2892596203","doi":"10.3233/978-1-61499-910-2-211","title":"Foundational Ontologies for Units of Measure","year":2018,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Measure (data warehouse); Computer science; Data mining","score_opus":0.10425796196762599,"score_gpt":0.2990796580571403,"score_spread":0.19482169608951433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892596203","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037960403,0.0082640555,0.5739328,0.010578587,0.0015478417,0.00027245688,0.0010883039,0.0008155055,0.3997043],"genre_scores_gemma":[0.1898986,0.01501748,0.6885491,0.0046003405,0.0016709559,0.0013127772,0.0044439933,0.00072877354,0.09377804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99706143,0.00072720984,0.00038988568,0.0003926246,0.0012302877,0.00019849629],"domain_scores_gemma":[0.9979639,0.0008181959,0.00015030295,0.00051231903,0.00042963514,0.00012576883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030936527,0.0008422008,0.00074042205,0.0036893983,0.0028151819,0.0080053415,0.0024193034,0.002868319,0.00785425],"category_scores_gemma":[0.0047108377,0.00078063447,0.0013891429,0.0049569476,0.006934299,0.013011536,0.0039202548,0.0062193647,0.0031612888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.3937395e-7,0.0000029732448,0.000008786637,0.000020069108,0.0000012238032,0.0000074489126,0.00009737815,0.00010392605,0.00003885274,0.99439985,0.0017737,0.0035449413],"study_design_scores_gemma":[0.0000037622683,0.0000025616537,0.00007776402,0.00011979033,0.0000044233516,0.00006309569,0.00010016591,0.001509127,0.00015641807,0.8063779,0.19157591,0.000009082856],"about_ca_topic_score_codex":0.005381869,"about_ca_topic_score_gemma":0.0040526884,"teacher_disagreement_score":0.0080053415,"about_ca_system_score_codex":0.005702332,"about_ca_system_score_gemma":0.004223552,"threshold_uncertainty_score":0.04137349},"labels":[],"label_agreement":null},{"id":"W2894197957","doi":"10.5220/0006937202630270","title":"An Ontology for Solar Irradiation Forecast Models","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ontology; Irradiation; Computer science; Environmental science; Information retrieval; Physics","score_opus":0.0522722365788605,"score_gpt":0.29769617583522795,"score_spread":0.24542393925636746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894197957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008321873,0.00029641582,0.970439,0.0009094256,0.00015756705,0.00037510355,0.0040278058,0.0023936525,0.013079079],"genre_scores_gemma":[0.10774361,0.0010124808,0.87413776,0.00028235433,0.00005739884,0.0007017431,0.00940771,0.00044537775,0.006211571],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99830365,0.00034691457,0.00035517765,0.000242943,0.00064128486,0.000109912704],"domain_scores_gemma":[0.9985643,0.0005356586,0.00014724923,0.0003146513,0.00036991882,0.00006823332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002037948,0.00065191,0.000563847,0.0023691019,0.00141897,0.0027772184,0.0014973305,0.0012586333,0.0025588889],"category_scores_gemma":[0.0049080877,0.00058120076,0.0025208488,0.0030354878,0.0009254016,0.0055792667,0.0018761301,0.0020798391,0.0010263744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094826784,0.0002485545,0.0035358688,0.00057895266,0.00014973024,0.00094345416,0.002323304,0.08193289,0.006923578,0.72267544,0.020066133,0.1605273],"study_design_scores_gemma":[0.000038963095,0.00004365974,0.0020229486,0.00039060513,0.00015153475,0.0006843831,0.00065850443,0.37193388,0.00509589,0.23025684,0.38862127,0.00010151678],"about_ca_topic_score_codex":0.036316756,"about_ca_topic_score_gemma":0.040220976,"teacher_disagreement_score":0.036316756,"about_ca_system_score_codex":0.0021015662,"about_ca_system_score_gemma":0.0043751313,"threshold_uncertainty_score":0.07221073},"labels":[],"label_agreement":null},{"id":"W2894501583","doi":"10.20343/teachlearninqu.6.2.12","title":"Crossing the [SoTL] Bridge and Diving In","year":2018,"lang":"en","type":"article","venue":"Teaching & Learning Inquiry The ISSOTL Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Tribute; Value (mathematics); Bridge (graph theory); Engineering; Sociology; History; Art history; Mathematics; Statistics","score_opus":0.04415787843493783,"score_gpt":0.3211883052664153,"score_spread":0.27703042683147744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894501583","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023906933,0.0046688183,0.007955727,0.10144411,0.010276436,0.0000387349,0.00007927825,0.00034530312,0.8512847],"genre_scores_gemma":[0.60661966,0.0061618416,0.0063370857,0.03665868,0.0029248544,0.00006547621,0.00024072507,0.00066506397,0.34032658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981267,0.000738158,0.00006389507,0.00020484602,0.00047798577,0.00038844408],"domain_scores_gemma":[0.998828,0.00022996569,0.00010778789,0.00010315496,0.00025733968,0.00047376766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335986,0.00034092058,0.00031997322,0.00117034,0.015639171,0.010151463,0.0009880832,0.0033077237,0.017890405],"category_scores_gemma":[0.0039647436,0.00018621441,0.00037143164,0.0013431937,0.01386726,0.010525575,0.009203616,0.0054630274,0.0033140557],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048476955,0.000049688257,0.0013503165,0.00018224589,0.000009317193,0.00044729628,0.10872457,0.000104559644,0.0005039246,0.5840505,0.22893043,0.075598665],"study_design_scores_gemma":[0.0000022098761,0.000019161955,0.0005325363,0.00021352022,0.00000290511,0.00015128293,0.03766713,0.00007004247,0.00014887389,0.029711956,0.9314693,0.000011000574],"about_ca_topic_score_codex":0.008368875,"about_ca_topic_score_gemma":0.028767694,"teacher_disagreement_score":0.017890405,"about_ca_system_score_codex":0.0033658831,"about_ca_system_score_gemma":0.0032343655,"threshold_uncertainty_score":0.05984932},"labels":[],"label_agreement":null},{"id":"W2897191831","doi":"10.1109/wetice.2018.00035","title":"Investigating Plausible Reasoning Over Knowledge Graphs for Semantics-Based Health Data Analytics","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Semantics (computer science); Correctness; Knowledge graph; Analytics; Model-based reasoning; Analytic reasoning; Reasoning system; Data science; Information retrieval; Artificial intelligence; Knowledge representation and reasoning; Programming language","score_opus":0.14017942763381264,"score_gpt":0.3709340636642858,"score_spread":0.23075463603047314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897191831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049960595,0.0006538237,0.9434266,0.0021606567,0.00003131647,0.00031085795,0.0007126666,0.00083805155,0.0019053405],"genre_scores_gemma":[0.51790416,0.00056134915,0.47868973,0.00042806743,0.00006055368,0.00017923233,0.0016047255,0.00011564727,0.00045652315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9886367,0.0063987537,0.0007598556,0.0014541226,0.0023994332,0.00035117727],"domain_scores_gemma":[0.92047256,0.071522646,0.0019521882,0.003446867,0.0021030298,0.0005026697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010341276,0.0011735092,0.00093565497,0.0037890808,0.0013585635,0.0045627817,0.0020539314,0.0017434633,0.0024496268],"category_scores_gemma":[0.06698258,0.0007358456,0.0027214084,0.0026410436,0.0035215006,0.008408495,0.003886128,0.0027514505,0.00030332486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005499327,0.00044412908,0.0076457933,0.0013559556,0.00045638048,0.0014838388,0.0032801395,0.49069232,0.008912348,0.3438711,0.0035816252,0.13772644],"study_design_scores_gemma":[0.000043254087,0.000057165023,0.00040264812,0.000065169865,0.000069539215,0.00020927974,0.0005663225,0.6086179,0.003264509,0.38358533,0.0030899113,0.000029022307],"about_ca_topic_score_codex":0.0062107616,"about_ca_topic_score_gemma":0.008191663,"teacher_disagreement_score":0.010341276,"about_ca_system_score_codex":0.00220118,"about_ca_system_score_gemma":0.002305235,"threshold_uncertainty_score":0.05469054},"labels":[],"label_agreement":null},{"id":"W2897419121","doi":"10.1007/978-3-030-32587-9_1","title":"Leveraging Protection and Efficiency of Query Answering in Heterogenous RDF Data Using Blockchain","year":2019,"lang":"en","type":"book-chapter","venue":"Studies in big data","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Ontology; Data integration; RDF; Data access; Architecture; Interface (matter); Database; Semantic Web; World Wide Web","score_opus":0.43026346487415185,"score_gpt":0.3549781455763838,"score_spread":0.07528531929776805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897419121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08838111,0.0011787341,0.8938974,0.0024848497,0.00024932486,0.0003711488,0.0005056262,0.0031321656,0.009799637],"genre_scores_gemma":[0.8838405,0.0007792213,0.10798673,0.0002914909,0.00020205218,0.00023223947,0.0011311899,0.00049415743,0.005042324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98037153,0.0069398084,0.0011683457,0.0017812919,0.0074297334,0.0023093158],"domain_scores_gemma":[0.9373283,0.027406486,0.0016571985,0.029300574,0.0036373888,0.0006700936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018075254,0.0008667013,0.0021257407,0.0021185977,0.0023133184,0.006081472,0.004188665,0.0026756248,0.006261337],"category_scores_gemma":[0.042426977,0.0010552699,0.0011264054,0.0038195981,0.004574027,0.020706162,0.00999542,0.003966597,0.002036399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001881846,0.00061283103,0.0050470675,0.0006085441,0.00024975208,0.0007061534,0.0012645092,0.14935239,0.028921368,0.5001277,0.013956246,0.2972717],"study_design_scores_gemma":[0.0001264993,0.00011015739,0.00031605456,0.00007191949,0.000063843894,0.00025450662,0.00022369686,0.5986939,0.019170277,0.37299728,0.007919685,0.00005219739],"about_ca_topic_score_codex":0.003225037,"about_ca_topic_score_gemma":0.0025008603,"teacher_disagreement_score":0.018075254,"about_ca_system_score_codex":0.0020229917,"about_ca_system_score_gemma":0.0053703925,"threshold_uncertainty_score":0.09559226},"labels":[],"label_agreement":null},{"id":"W2898115771","doi":"10.14288/1.0372093","title":"Interpreting derived stative predicates : evidence from ʔayʔaǰuθəm","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Linguistics; Natural language processing; Computer science; Mathematics; Artificial intelligence; Philosophy","score_opus":0.04640719400445499,"score_gpt":0.3182837772861475,"score_spread":0.2718765832816925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898115771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7933762,0.00036279677,0.07134831,0.0012538054,0.00017364295,0.00010069714,0.00024496645,0.00030205154,0.13283755],"genre_scores_gemma":[0.99301976,0.00009770593,0.0046283687,0.00011522008,0.00004276434,0.000019348552,0.00012365519,0.00012521856,0.0018279864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9981791,0.00068773853,0.00010152195,0.00037746216,0.0005367475,0.000117425036],"domain_scores_gemma":[0.99465877,0.0037203317,0.00035243435,0.0005145284,0.0006756135,0.000078313926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019767305,0.0005094153,0.00038496326,0.000570151,0.0013106101,0.002657492,0.00088806084,0.0011430053,0.003738223],"category_scores_gemma":[0.006138063,0.0005331587,0.0004172219,0.00052888226,0.0044400417,0.005489371,0.0029284244,0.0023820004,0.00048960786],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009186138,0.00013325222,0.012313198,0.00088155933,0.00009119281,0.004524155,0.16640799,0.0010506237,0.15522793,0.61319095,0.0015579856,0.043702506],"study_design_scores_gemma":[0.00036987866,0.0011719394,0.057544135,0.0005141402,0.0003005593,0.009815833,0.09410548,0.025687305,0.14917673,0.51653886,0.14439063,0.00038460857],"about_ca_topic_score_codex":0.0010614253,"about_ca_topic_score_gemma":0.0014878184,"teacher_disagreement_score":0.003738223,"about_ca_system_score_codex":0.0010773907,"about_ca_system_score_gemma":0.00068295153,"threshold_uncertainty_score":0.012505591},"labels":[],"label_agreement":null},{"id":"W2898283012","doi":"10.1109/services.2018.00028","title":"The LRA Workbench for Composing Linked REST APIs","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Workbench; SPARQL; Schema (genetic algorithms); Web service; Semantic Web; World Wide Web; Rest (music); Middleware (distributed applications); XML; Process (computing); Software engineering; Database; RDF; Information retrieval; Programming language; Data mining","score_opus":0.03186175435615288,"score_gpt":0.2902483670483849,"score_spread":0.25838661269223206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898283012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019836673,0.00011606818,0.93897057,0.00015516522,0.00007841172,0.0006507377,0.0006238351,0.052739374,0.004682203],"genre_scores_gemma":[0.030098239,0.00033207244,0.93944377,0.00040738354,0.00010337576,0.0014152603,0.003785456,0.014537689,0.009876761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99263316,0.00217718,0.0011854327,0.0010488438,0.0024023035,0.0005529697],"domain_scores_gemma":[0.9938812,0.0023063116,0.00043617768,0.0022448981,0.0007491398,0.00038235085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008821172,0.0027593537,0.0017321092,0.004040289,0.0021772068,0.007948,0.0050966498,0.0023653824,0.020297842],"category_scores_gemma":[0.012429953,0.0019916357,0.004434079,0.0018293356,0.0021735902,0.0064089047,0.006870103,0.004596891,0.015824221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011127755,0.0013342956,0.0041267653,0.002226076,0.00051399355,0.0036264863,0.005484282,0.02936093,0.08583425,0.27301753,0.06961181,0.5237508],"study_design_scores_gemma":[0.0003371216,0.0005082017,0.0009824224,0.0007749202,0.00022247023,0.0014246318,0.0009774913,0.28463662,0.09831819,0.08880841,0.522546,0.00046355062],"about_ca_topic_score_codex":0.004053275,"about_ca_topic_score_gemma":0.00338374,"teacher_disagreement_score":0.020297842,"about_ca_system_score_codex":0.0015097491,"about_ca_system_score_gemma":0.0026444395,"threshold_uncertainty_score":0.0679031},"labels":[],"label_agreement":null},{"id":"W2898569234","doi":"10.1108/dlp-02-2018-0005","title":"Linking historical collections in an event-based ontology","year":2018,"lang":"en","type":"article","venue":"Digital Library Perspectives","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ontology; Computer science; Event (particle physics); Information retrieval; Originality; Upper ontology; World Wide Web; Set (abstract data type); Domain (mathematical analysis); Data science; Semantic Web; Epistemology; Programming language; Sociology","score_opus":0.018959610206374572,"score_gpt":0.24921216230194868,"score_spread":0.2302525520955741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898569234","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033076227,0.0012224369,0.8672479,0.0028841852,0.0003786171,0.0009123593,0.0051817,0.0018672042,0.08722931],"genre_scores_gemma":[0.27891478,0.0028946581,0.68780106,0.0006604416,0.00013335633,0.0008417274,0.010094022,0.00043765092,0.018222313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974027,0.00085909915,0.00043790223,0.0004717796,0.00064462796,0.00018381834],"domain_scores_gemma":[0.9970975,0.0009556678,0.00041485424,0.0008198423,0.0005382136,0.00017400584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003211666,0.0005489303,0.00050749624,0.0073184473,0.0027625312,0.008021766,0.0018084337,0.0010375526,0.005764183],"category_scores_gemma":[0.0069753164,0.000529582,0.0015774867,0.009834596,0.0030021886,0.017854264,0.0043735136,0.0017293394,0.00091039215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004058482,0.0000808227,0.003154815,0.0004102625,0.000056507128,0.0005757859,0.0077175964,0.0064706523,0.0009602575,0.9099526,0.0062367865,0.0643434],"study_design_scores_gemma":[0.000026195228,0.000029565468,0.0028031936,0.0008095618,0.00013307222,0.00082816504,0.01193909,0.026302947,0.0023251695,0.34639138,0.60831904,0.00009254037],"about_ca_topic_score_codex":0.02580476,"about_ca_topic_score_gemma":0.01884539,"teacher_disagreement_score":0.02580476,"about_ca_system_score_codex":0.0039241225,"about_ca_system_score_gemma":0.0043583373,"threshold_uncertainty_score":0.05130911},"labels":[],"label_agreement":null},{"id":"W2898902679","doi":"","title":"The Combined Approach to OBDA: Taming Role Hierarchies using Filters.","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rewriting; Scalability; Computer science; Ontology; Theoretical computer science; Perspective (graphical); Description logic; Programming language; Artificial intelligence; Database","score_opus":0.03249322249892148,"score_gpt":0.2514852879593697,"score_spread":0.21899206546044822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898902679","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058441944,0.0005614414,0.9878864,0.0007001993,0.0000834439,0.00016269108,0.00013961155,0.0018604349,0.0027615856],"genre_scores_gemma":[0.13424364,0.0003686035,0.8574889,0.00081173476,0.00011375652,0.00026837765,0.0002942179,0.00056817656,0.005842654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98763496,0.0044782017,0.00095749635,0.0017415076,0.0043322714,0.00085543364],"domain_scores_gemma":[0.9764811,0.007084768,0.00088051736,0.012225841,0.002756283,0.0005716324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010498801,0.0011878088,0.0013431886,0.0024314448,0.0018382025,0.0048453086,0.003536587,0.0021833885,0.0040603727],"category_scores_gemma":[0.019327506,0.0011113627,0.002615027,0.002080723,0.003756611,0.0143748615,0.007138952,0.0035585929,0.0016745947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007137609,0.0004896987,0.0032996149,0.0011613382,0.00051268796,0.0006277673,0.0038515308,0.010358384,0.05103092,0.5491178,0.013081539,0.3657549],"study_design_scores_gemma":[0.0001955307,0.00037356553,0.00084964075,0.0002833769,0.0006432468,0.0016605217,0.0016042975,0.2389044,0.10172557,0.4719878,0.18149543,0.00027666334],"about_ca_topic_score_codex":0.0055184723,"about_ca_topic_score_gemma":0.0063278237,"teacher_disagreement_score":0.010498801,"about_ca_system_score_codex":0.00170231,"about_ca_system_score_gemma":0.0035601403,"threshold_uncertainty_score":0.055523634},"labels":[],"label_agreement":null},{"id":"W2899963614","doi":"","title":"Collaborative Conceptual Design : A State-of-the-Art Survey","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; State (computer science); Data science; Programming language","score_opus":0.02890536573876216,"score_gpt":0.25034761943419653,"score_spread":0.22144225369543438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899963614","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067397766,0.33558825,0.3878082,0.028108338,0.0018276495,0.0010437848,0.0012433025,0.0021106491,0.17487198],"genre_scores_gemma":[0.43986064,0.30661485,0.21767336,0.0032205326,0.0015717006,0.0011078919,0.0042654257,0.0013525705,0.024332976],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9400557,0.026670206,0.004303162,0.0041798814,0.02378763,0.0010034854],"domain_scores_gemma":[0.67406386,0.2611378,0.0075809215,0.021402633,0.033290926,0.002523873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.044559386,0.0006499856,0.0019527319,0.008612237,0.0027780253,0.011483381,0.0049893376,0.0034713354,0.020465678],"category_scores_gemma":[0.1913757,0.00084216916,0.0009637888,0.016232794,0.0039674733,0.021870054,0.004448859,0.0013418914,0.005031124],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010011296,0.00023549364,0.0061300746,0.004795915,0.000079197525,0.00008534987,0.0033445172,0.0008582315,0.00044621003,0.040690616,0.024220033,0.9190143],"study_design_scores_gemma":[0.00012819377,0.00029530647,0.011076323,0.0071693608,0.00023321643,0.0015482531,0.016190477,0.009151925,0.003690275,0.083042,0.86732817,0.00014647172],"about_ca_topic_score_codex":0.0029094105,"about_ca_topic_score_gemma":0.0027987116,"teacher_disagreement_score":0.044559386,"about_ca_system_score_codex":0.0023679053,"about_ca_system_score_gemma":0.0076794126,"threshold_uncertainty_score":0.23565537},"labels":[],"label_agreement":null},{"id":"W2900966416","doi":"10.5815/ijieeb.2018.06.01","title":"Towards Semantic Geo/BI: A Novel Approach for Semantically Enriching Geo/BI Data with OWL Ontological Layers (OOLAP and ODW) to Enable Semantic Exploration, Analysis and Discovery of Geospatial Business Intelligence Knowledge","year":2018,"lang":"en","type":"article","venue":"International Journal of Information Engineering and Electronic Business","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; West African Science Service Centre on Climate Change and Adapted Land Use; Université Laval","keywords":"Computer science; Online analytical processing; Geospatial analysis; Semantic computing; Semantic analytics; Data warehouse; Semantic Web; Semantic technology; Semantic grid; Semantic data model; Business intelligence; Data science; Information retrieval; Semantic Web Stack; Knowledge management; Data mining; Geology; Remote sensing","score_opus":0.01890648633927986,"score_gpt":0.25364467827577053,"score_spread":0.23473819193649068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900966416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034795802,0.00023453156,0.98943543,0.0010333477,0.00009899713,0.00011694709,0.00037322773,0.00077176036,0.0044561694],"genre_scores_gemma":[0.047641158,0.00057266135,0.9478793,0.00047099413,0.000045008306,0.00015917677,0.0011245919,0.00018610431,0.0019210065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952573,0.0014654559,0.00061859336,0.00065115775,0.0017058828,0.00030157005],"domain_scores_gemma":[0.9951643,0.00097327307,0.0004618078,0.002230944,0.00084596284,0.00032366457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007304735,0.0009275105,0.0008535791,0.0045071626,0.0018018357,0.007550184,0.0024655869,0.0013457303,0.0012248415],"category_scores_gemma":[0.008604998,0.0010352185,0.001965405,0.0065888073,0.0032436147,0.017072182,0.01114835,0.0040098,0.00078591006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009000249,0.00018907037,0.0029178474,0.00066791975,0.00020483839,0.00084333506,0.0041416194,0.007419558,0.010119089,0.7989812,0.010393399,0.16403219],"study_design_scores_gemma":[0.00002887762,0.000057005145,0.0013511621,0.00055577164,0.00020083941,0.00097266556,0.0030822803,0.12854345,0.01806301,0.53532445,0.3116722,0.00014824104],"about_ca_topic_score_codex":0.0098300185,"about_ca_topic_score_gemma":0.011576354,"teacher_disagreement_score":0.0098300185,"about_ca_system_score_codex":0.0017491657,"about_ca_system_score_gemma":0.0046729627,"threshold_uncertainty_score":0.03863156},"labels":[],"label_agreement":null},{"id":"W2900967032","doi":"10.1007/978-3-030-04284-4_8","title":"Unified Access to Heterogeneous Data Sources Using an Ontology","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Leverage (statistics); Aggregate (composite); Cloud computing; Semantic heterogeneity; Data migration; Database; Ontology; Data access; Semi-structured data; Data source; Software; Data science; Information retrieval; Ontology-based data integration; Semantic Web; Relational database","score_opus":0.11857978325251387,"score_gpt":0.33748856956236867,"score_spread":0.2189087863098548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900967032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042520245,0.0006357604,0.9849214,0.0005344768,0.00010542766,0.00017724912,0.00042611922,0.0028476885,0.0060999338],"genre_scores_gemma":[0.065143295,0.0020386882,0.9225288,0.00044227563,0.0001266735,0.00032200332,0.0025490266,0.00080037856,0.006048931],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9931016,0.001287586,0.0014564487,0.00091182353,0.0028337946,0.00040878914],"domain_scores_gemma":[0.9946702,0.0013153513,0.00026687098,0.002856027,0.0006454633,0.00024597763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006585422,0.00095033017,0.0022304985,0.005687633,0.0021396098,0.01247564,0.0037340433,0.0022173738,0.0026321798],"category_scores_gemma":[0.010498256,0.0014447263,0.0034577404,0.008613442,0.0025443146,0.0236373,0.013441913,0.0039286655,0.001448632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019214267,0.00019451162,0.0012793,0.00068508135,0.00039340684,0.0010458973,0.0029698657,0.0057213157,0.011283885,0.67816985,0.013303231,0.28476158],"study_design_scores_gemma":[0.00007912213,0.000054315,0.0009728695,0.0007058195,0.00062169007,0.0011766356,0.001352003,0.09897852,0.01556514,0.6169177,0.26336595,0.0002101906],"about_ca_topic_score_codex":0.0064396006,"about_ca_topic_score_gemma":0.007877105,"teacher_disagreement_score":0.01247564,"about_ca_system_score_codex":0.0014139271,"about_ca_system_score_gemma":0.0033120057,"threshold_uncertainty_score":0.03482747},"labels":[],"label_agreement":null},{"id":"W2901201431","doi":"10.5465/ambpp.2012.16583abstract","title":"Object and Relations Uncertainty","year":2012,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Object (grammar); Categorization; Set (abstract data type); Component (thermodynamics); Computer science; Uncertainty reduction theory; Uncertainty analysis; Information exchange; Limit (mathematics); Measurement uncertainty; Extension (predicate logic); Mathematics; Artificial intelligence; Psychology; Statistics; Social psychology","score_opus":0.023452970187708096,"score_gpt":0.26453887700880685,"score_spread":0.24108590682109876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901201431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10244042,0.005600511,0.70999163,0.0075177443,0.0007587531,0.00048782927,0.00086622575,0.00037755276,0.1719593],"genre_scores_gemma":[0.87202775,0.0018559139,0.1171511,0.0008890568,0.0004777907,0.0005346205,0.0007402592,0.00011763131,0.006205948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9896646,0.0035403057,0.0008751179,0.0015392744,0.0038430516,0.0005375755],"domain_scores_gemma":[0.977105,0.012604398,0.0032290174,0.003557423,0.0026826474,0.0008214613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006455881,0.0011594727,0.0008898642,0.0044485065,0.002694501,0.0089331325,0.00150815,0.0018544348,0.006942668],"category_scores_gemma":[0.025663791,0.0006415861,0.001618032,0.0036475025,0.0106370635,0.013317929,0.006951438,0.0034199338,0.0005327211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017629233,0.00007566318,0.009413276,0.00038994508,0.00013242324,0.00019100306,0.0075556794,0.003379434,0.0015463365,0.9067158,0.0015629922,0.068861246],"study_design_scores_gemma":[0.00002404768,0.00012990026,0.011402289,0.0003202165,0.0001401367,0.0005271382,0.0049686716,0.00903045,0.0015236109,0.912658,0.059168648,0.000106985804],"about_ca_topic_score_codex":0.00345583,"about_ca_topic_score_gemma":0.0021876104,"teacher_disagreement_score":0.0089331325,"about_ca_system_score_codex":0.0030827145,"about_ca_system_score_gemma":0.0027491814,"threshold_uncertainty_score":0.034142375},"labels":[],"label_agreement":null},{"id":"W2901306284","doi":"10.5007/1518-2924.2018v23n53p137","title":"O papel da web semântica nos processos do big data","year":2018,"lang":"pt","type":"article","venue":"Encontros Bibli Revista Eletrônica de Biblioteconomia e Ciência da Informação","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Humanities; World Wide Web; Computer science; Philosophy","score_opus":0.08261446132326547,"score_gpt":0.3085735973005967,"score_spread":0.22595913597733122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901306284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007808091,0.0034700825,0.94955635,0.0091906395,0.0006642022,0.0002625369,0.0008726153,0.002140359,0.02603509],"genre_scores_gemma":[0.16036381,0.009676976,0.80634254,0.0037978292,0.0011046138,0.0007821878,0.0023258345,0.0018382842,0.013767955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9792403,0.008925935,0.0017384184,0.0022566093,0.007288186,0.00055058394],"domain_scores_gemma":[0.95985776,0.017109338,0.0018609881,0.013970202,0.0062821377,0.0009195784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021202391,0.0012229595,0.001476589,0.00990695,0.0038211406,0.01981939,0.00266038,0.0036069741,0.0032315396],"category_scores_gemma":[0.039412715,0.0016594233,0.0032166739,0.011234063,0.008089119,0.029930646,0.008903129,0.0066547664,0.0019544864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012104114,0.000105448395,0.0034353812,0.001399473,0.0002790268,0.00050127954,0.0044936487,0.0054805777,0.0038106944,0.8005828,0.008952755,0.17083785],"study_design_scores_gemma":[0.0000236504,0.000031609547,0.0011810093,0.0007593848,0.00008581973,0.0005152153,0.0018577332,0.01986405,0.005980089,0.7918725,0.17773214,0.00009677161],"about_ca_topic_score_codex":0.0052200463,"about_ca_topic_score_gemma":0.004059569,"teacher_disagreement_score":0.021202391,"about_ca_system_score_codex":0.0030459447,"about_ca_system_score_gemma":0.00711283,"threshold_uncertainty_score":0.112130284},"labels":[],"label_agreement":null},{"id":"W2902566158","doi":"","title":"Towards Ontologies in Variation.","year":2015,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Variation (astronomy); Computer science; Physics","score_opus":0.28689797060671046,"score_gpt":0.37726698774564327,"score_spread":0.0903690171389328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902566158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015168967,0.01518504,0.8557584,0.0144452965,0.0012176752,0.00007943908,0.0006846977,0.0010458739,0.09641445],"genre_scores_gemma":[0.52660453,0.007165513,0.43289584,0.002790735,0.0014086445,0.00022341908,0.0028215155,0.00090476184,0.025185011],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956741,0.0021974668,0.00032499767,0.0008280023,0.00073748204,0.00023805429],"domain_scores_gemma":[0.9943093,0.0028291752,0.0002834774,0.0014834396,0.00080813095,0.00028639776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004962685,0.00058601366,0.0010041958,0.0031117941,0.0023115627,0.005280327,0.0022057698,0.0022312573,0.005242023],"category_scores_gemma":[0.0146244485,0.00076972344,0.001582257,0.0032356863,0.007350219,0.0152275,0.0053650057,0.0038868003,0.0011936784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015001659,0.00000985572,0.00044947633,0.000058272744,0.000029546287,0.00010123277,0.00078256807,0.0008828412,0.00016053417,0.964937,0.0050217295,0.02755188],"study_design_scores_gemma":[0.000006194417,0.0000044389985,0.00027108905,0.000056484107,0.000018009914,0.00010607267,0.0004166927,0.0035943876,0.00021083344,0.9543115,0.040996432,0.000007917567],"about_ca_topic_score_codex":0.008184085,"about_ca_topic_score_gemma":0.009562239,"teacher_disagreement_score":0.008184085,"about_ca_system_score_codex":0.0022804479,"about_ca_system_score_gemma":0.0017112812,"threshold_uncertainty_score":0.026245475},"labels":[],"label_agreement":null},{"id":"W2902711140","doi":"","title":"An Activity-Based Ontology for Dates.","year":2015,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Information retrieval; Epistemology","score_opus":0.35600831424850854,"score_gpt":0.4200492926185642,"score_spread":0.06404097837005568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902711140","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019343486,0.0055712224,0.78266287,0.0028488934,0.0031813784,0.0005332732,0.02845285,0.0033578158,0.15404817],"genre_scores_gemma":[0.2369535,0.007385162,0.6784126,0.00077739364,0.00073373545,0.00065086776,0.030260868,0.0005670698,0.044258818],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993292,0.0001359606,0.00015407587,0.00014459077,0.00017584744,0.00006044439],"domain_scores_gemma":[0.99927646,0.00021268951,0.000091246344,0.00013848579,0.00019017045,0.000091040856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089626136,0.00044062536,0.00042819948,0.0041792286,0.001523251,0.0033367185,0.0010852334,0.0010077308,0.0059672883],"category_scores_gemma":[0.002749376,0.0003295653,0.0012815906,0.0044432217,0.0009204364,0.0062637734,0.001443017,0.0015466028,0.0030362022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010159718,0.00006711866,0.001649372,0.00040608458,0.000038018617,0.00032894578,0.0008735289,0.004042561,0.0020378234,0.88584656,0.022477638,0.08213082],"study_design_scores_gemma":[0.000027223898,0.000023364155,0.0011746074,0.00033032088,0.000070542206,0.00062424765,0.000549042,0.009897093,0.001185089,0.17030455,0.8157826,0.000031319516],"about_ca_topic_score_codex":0.014899839,"about_ca_topic_score_gemma":0.01768519,"teacher_disagreement_score":0.014899839,"about_ca_system_score_codex":0.0013445716,"about_ca_system_score_gemma":0.0028781374,"threshold_uncertainty_score":0.02962625},"labels":[],"label_agreement":null},{"id":"W2903197708","doi":"","title":"Research Guides: Finding Theses and Dissertations: Electronic Theses at USask","year":2011,"lang":"en","type":"libguides","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","score_opus":0.14001029207416948,"score_gpt":0.374008754754771,"score_spread":0.23399846268060154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903197708","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008089953,0.014301987,0.015561956,0.07190317,0.010004913,0.0005440656,0.016399717,0.0103067,0.8528876],"genre_scores_gemma":[0.012439847,0.00886143,0.013034933,0.0026273844,0.0006106135,0.00024199487,0.0044479645,0.0037645863,0.9539714],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973022,0.00064718636,0.00026027902,0.00026344985,0.0012661002,0.00026070906],"domain_scores_gemma":[0.9876453,0.0029601294,0.0006611171,0.0013433677,0.00463916,0.0027509243],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0044798,0.0005749749,0.0006622476,0.0065648346,0.0060874647,0.008856266,0.0008253558,0.0013926586,0.22932406],"category_scores_gemma":[0.021611974,0.00097315933,0.00045748797,0.009023178,0.0019568875,0.00599942,0.0050529432,0.002484904,0.17863132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024518064,0.000019582692,0.00035373567,0.00013232035,0.00000298896,0.000084005405,0.0015119163,0.00003352123,0.0002100028,0.0068576364,0.8856957,0.10507399],"study_design_scores_gemma":[0.00000449652,0.0000041679714,0.00055049843,0.00016262844,0.0000019243037,0.000042872005,0.0012393212,0.000018372493,0.00013530623,0.001195072,0.9966388,0.000006619177],"about_ca_topic_score_codex":0.028264107,"about_ca_topic_score_gemma":0.11620922,"teacher_disagreement_score":0.99114376,"about_ca_system_score_codex":0.0043824865,"about_ca_system_score_gemma":0.017378,"threshold_uncertainty_score":0.7671654},"labels":[],"label_agreement":null},{"id":"W2903232921","doi":"10.3390/electronics7120371","title":"Ontology-Based Model to Support Ubiquitous Healthcare Systems for COPD Patients","year":2018,"lang":"en","type":"article","venue":"Electronics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Ontology; Computer science; Context (archaeology); Health care; Semantic Web; Modular design; Provisioning; Set (abstract data type); Knowledge management; Medical emergency; Medicine; World Wide Web","score_opus":0.03296174231286455,"score_gpt":0.29840921078787297,"score_spread":0.26544746847500844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903232921","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012477579,0.00033726348,0.96220165,0.0018237935,0.00022194326,0.0004441086,0.0005944652,0.001668365,0.02023078],"genre_scores_gemma":[0.28471795,0.0009868828,0.6952817,0.00073014264,0.00011232544,0.00073975045,0.0022409016,0.0002493562,0.014941047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991553,0.00023429874,0.00013364154,0.000121338315,0.00026568316,0.00008973998],"domain_scores_gemma":[0.9994454,0.00014173261,0.00005084552,0.00013463674,0.00016279677,0.000064664804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011853911,0.00032708063,0.00042135132,0.0007176679,0.0008264092,0.002565595,0.0013347446,0.0012396406,0.0028576616],"category_scores_gemma":[0.002506852,0.00028820938,0.0013331757,0.0007462775,0.0005818609,0.0027583723,0.0022030398,0.0011260835,0.0011465427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019156197,0.00044066625,0.003615645,0.00039618943,0.00017368696,0.0018411637,0.002293824,0.12521137,0.011810312,0.6931309,0.017181406,0.14371322],"study_design_scores_gemma":[0.00008325264,0.000097053584,0.0009808933,0.00019366313,0.00016418305,0.000655996,0.00060820597,0.61187243,0.00415517,0.16924062,0.21188281,0.00006573854],"about_ca_topic_score_codex":0.010144236,"about_ca_topic_score_gemma":0.01146757,"teacher_disagreement_score":0.010144236,"about_ca_system_score_codex":0.0010264462,"about_ca_system_score_gemma":0.0029952673,"threshold_uncertainty_score":0.02017039},"labels":[],"label_agreement":null},{"id":"W2903405592","doi":"10.29173/cais1055","title":"Marcia J. Bates: Past -- &gt;Present -- &gt;Future","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"BATES; Context (archaeology); Library science; Art history; Sociology; Media studies; Art; Computer science; Engineering; History; Archaeology","score_opus":0.019711967267119983,"score_gpt":0.2441833389594244,"score_spread":0.2244713716923044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903405592","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012980326,0.0264895,0.002368144,0.8877625,0.039290447,0.00002848472,0.00008131553,0.000114130824,0.042567458],"genre_scores_gemma":[0.113137916,0.09822245,0.009009541,0.29109314,0.04707732,0.00026004008,0.00040681008,0.0009802842,0.43981254],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972127,0.00097494165,0.0000758394,0.00053943566,0.0008773734,0.00031969987],"domain_scores_gemma":[0.99515545,0.0011948374,0.00023868369,0.00025869487,0.0018242365,0.0013280953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007008298,0.00046861052,0.0004372223,0.0011405895,0.005497139,0.010255652,0.0010315935,0.004333242,0.018605847],"category_scores_gemma":[0.010840516,0.00035410083,0.00044815388,0.0014527612,0.0030901518,0.011273087,0.0035132724,0.008932292,0.0097845085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017856975,0.00001380454,0.00021100309,0.000079049685,0.000003149948,0.000067917106,0.0029655849,0.000034627516,0.00030182456,0.034369875,0.9407657,0.021169683],"study_design_scores_gemma":[9.78178e-7,0.000003974575,0.00010051821,0.000109767556,0.0000014580038,0.000049279275,0.001532388,0.000022873934,0.000094107534,0.0026253809,0.99545187,0.000007436135],"about_ca_topic_score_codex":0.0072937063,"about_ca_topic_score_gemma":0.011498422,"teacher_disagreement_score":0.018605847,"about_ca_system_score_codex":0.0035992942,"about_ca_system_score_gemma":0.0049634273,"threshold_uncertainty_score":0.062242806},"labels":[],"label_agreement":null},{"id":"W2903442974","doi":"","title":"Towards a Preference Formalism for Modular Systems.","year":2015,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Modular design; Formalism (music); Computer science; Programming language; Art","score_opus":0.41133872333254645,"score_gpt":0.37580808777993224,"score_spread":0.03553063555261421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903442974","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048454185,0.00030429996,0.98197913,0.00089774566,0.00012914075,0.0001030422,0.00032170533,0.00038648327,0.011033055],"genre_scores_gemma":[0.1842433,0.0006198553,0.80439824,0.000726588,0.0003113627,0.00031979007,0.00086447876,0.00035508294,0.008161387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99650216,0.0014304437,0.00046211344,0.0004313467,0.00092209416,0.0002518431],"domain_scores_gemma":[0.99510646,0.0019362437,0.00029780407,0.001246238,0.0011181385,0.0002951131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067681223,0.0006154551,0.00072676834,0.0017118655,0.0015188161,0.0034491855,0.0019956431,0.001557355,0.0070856917],"category_scores_gemma":[0.012732198,0.0009941321,0.0020917084,0.0023938413,0.0025075208,0.011233073,0.0031990497,0.0036614742,0.0019935672],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000147487735,0.000018939716,0.00015498421,0.00006358423,0.00001580575,0.000049104525,0.00019719327,0.001516905,0.0005012807,0.9799824,0.0024976297,0.014987473],"study_design_scores_gemma":[0.000018721345,0.000016534294,0.00007385238,0.000040953575,0.000021870525,0.00008320497,0.00010889525,0.013742289,0.00072513736,0.9651608,0.019996257,0.000011563876],"about_ca_topic_score_codex":0.0031496852,"about_ca_topic_score_gemma":0.0038184463,"teacher_disagreement_score":0.0070856917,"about_ca_system_score_codex":0.0014127808,"about_ca_system_score_gemma":0.0017496794,"threshold_uncertainty_score":0.035793662},"labels":[],"label_agreement":null},{"id":"W2903499161","doi":"10.4018/978-1-4666-9688-4.ch011","title":"Design of Information Spaces and Retrieval of Information using Electrostatics in Virtual Spaces","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in IT personnel and project management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Space (punctuation); Situated; Scalability; Human–computer interaction; Information space; Architecture; Information architecture; World Wide Web; Information system; Artificial intelligence; Engineering; Management information systems; Geography","score_opus":0.022366341205761024,"score_gpt":0.2625180344758105,"score_spread":0.24015169327004948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903499161","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02610345,0.0012276958,0.93723106,0.0007907151,0.00014319454,0.000117399475,0.00008832878,0.00067802455,0.033620104],"genre_scores_gemma":[0.47313413,0.0019144042,0.48753902,0.00024192964,0.00007604592,0.0003227013,0.00024922992,0.0002873002,0.036235277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99917835,0.00024845518,0.00006946444,0.00010555881,0.00031315917,0.00008497441],"domain_scores_gemma":[0.9995328,0.00017176289,0.000037017395,0.000096820935,0.00011189762,0.000049625814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084861263,0.0004175794,0.00049041095,0.00076920056,0.0011547953,0.0042858715,0.0012036263,0.0009144242,0.004535322],"category_scores_gemma":[0.0018703111,0.00040962352,0.00076742476,0.00093308266,0.0018118739,0.0047444566,0.0025839722,0.00065893575,0.0012268416],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008418725,0.000058743713,0.00057541154,0.00040375485,0.00003528051,0.0004141718,0.0025420436,0.038192973,0.020254428,0.8384962,0.0053933025,0.09354943],"study_design_scores_gemma":[0.000090112,0.0001579983,0.0008016405,0.00018455568,0.00005276728,0.0013148362,0.001891518,0.18941239,0.025979556,0.5558071,0.22421423,0.00009325901],"about_ca_topic_score_codex":0.0005763974,"about_ca_topic_score_gemma":0.0004367722,"teacher_disagreement_score":0.004535322,"about_ca_system_score_codex":0.000716919,"about_ca_system_score_gemma":0.0005884741,"threshold_uncertainty_score":0.015172124},"labels":[],"label_agreement":null},{"id":"W2904396289","doi":"10.1609/aimag.v39i4.2843","title":"A Recap of the AAAI / IAAI 2018 Conferences and the EAAI Symposium","year":2018,"lang":"en","type":"article","venue":"AI Magazine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Computer science; Library science; Engineering; Artificial intelligence; Operations research","score_opus":0.012692556056736583,"score_gpt":0.23679893477883834,"score_spread":0.22410637872210176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904396289","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044689053,0.057176348,0.010965724,0.16174357,0.35477048,0.00040519747,0.0056036697,0.0023086125,0.40255743],"genre_scores_gemma":[0.019204382,0.07085518,0.011839361,0.02914875,0.07552689,0.0004356126,0.010465212,0.0016023298,0.7809223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99628806,0.00032242222,0.00023158401,0.00035262035,0.0023644837,0.00044082862],"domain_scores_gemma":[0.98848045,0.0005203868,0.0005845297,0.0006965388,0.0057545924,0.00396335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058793155,0.0012907332,0.00083377317,0.007443009,0.0039820787,0.013375514,0.0014573552,0.003472282,0.06462397],"category_scores_gemma":[0.00830249,0.0005951475,0.00073649455,0.007457145,0.0014320981,0.012305416,0.004649987,0.006470907,0.056563348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040525192,0.00007389422,0.00032756577,0.00013302724,0.000004691552,0.00006483521,0.00011824964,0.00006456863,0.00043212032,0.0054458133,0.9323503,0.06094446],"study_design_scores_gemma":[0.0000023237153,0.000010088543,0.00052100606,0.00010449482,0.0000027357034,0.000040371917,0.00016492435,0.00006005207,0.00015755017,0.00097191107,0.9979539,0.000010658532],"about_ca_topic_score_codex":0.004424201,"about_ca_topic_score_gemma":0.0126354685,"teacher_disagreement_score":0.06462397,"about_ca_system_score_codex":0.0027544692,"about_ca_system_score_gemma":0.006382751,"threshold_uncertainty_score":0.21618873},"labels":[],"label_agreement":null},{"id":"W2904524947","doi":"10.1609/aaai.v33i01.33012995","title":"On Limited Conjunctions and Partial Features in Parameter-Tractable Feature Logics","year":2019,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Consistency (knowledge bases); Feature (linguistics); Computer science; Knowledge base; Description logic; Base (topology); Theoretical computer science; Partial function; Artificial intelligence; Automated reasoning; Algorithm; Mathematics; Discrete mathematics","score_opus":0.05070974456493918,"score_gpt":0.2798243286108011,"score_spread":0.2291145840458619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904524947","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036376365,0.0002923242,0.95150113,0.0016333209,0.0000462345,0.00017973746,0.0005870741,0.00094760844,0.008436113],"genre_scores_gemma":[0.54199713,0.000596732,0.4484513,0.0007532063,0.00017998311,0.0004264934,0.001462076,0.0005633271,0.005569729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99250495,0.0027883162,0.0005805199,0.0015080058,0.0017419624,0.0008761573],"domain_scores_gemma":[0.9718988,0.022548584,0.0009978842,0.0030585094,0.0010252488,0.00047104986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00755368,0.0012017796,0.0017455675,0.0017617346,0.0023868028,0.0058483994,0.004561738,0.0026016987,0.008485596],"category_scores_gemma":[0.03277293,0.0015398726,0.0040328302,0.0030031535,0.0072938716,0.023685595,0.006666348,0.0066305017,0.0008102673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002473728,0.00013638313,0.00083291024,0.00017081498,0.000074473246,0.00045050003,0.0006421621,0.07741153,0.0013204525,0.8948509,0.001978774,0.021883795],"study_design_scores_gemma":[0.000050838,0.000025070885,0.000112781934,0.000029065268,0.00003893192,0.00008389774,0.000102684615,0.11581854,0.0010074514,0.88109857,0.0016063793,0.000025748557],"about_ca_topic_score_codex":0.01035495,"about_ca_topic_score_gemma":0.011546747,"teacher_disagreement_score":0.01035495,"about_ca_system_score_codex":0.004808719,"about_ca_system_score_gemma":0.0025386408,"threshold_uncertainty_score":0.039948165},"labels":[],"label_agreement":null},{"id":"W2904825323","doi":"","title":"Rethinking the role of conceptual modeling in the introductory IS curriculum","year":2018,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Curriculum; Computer science; Engineering ethics; Mathematics education; Epistemology; Cognitive science; Sociology; Pedagogy; Psychology; Engineering; Philosophy","score_opus":0.022797386703517747,"score_gpt":0.24494123519777733,"score_spread":0.22214384849425958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904825323","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24096482,0.009013752,0.1986572,0.41342482,0.0031678688,0.00019775487,0.00019567169,0.00091551617,0.13346253],"genre_scores_gemma":[0.8842229,0.0048635756,0.088115364,0.011245706,0.00054135255,0.00018271791,0.00020874623,0.0004122763,0.010207391],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98655635,0.007405147,0.00063508184,0.0011213908,0.003304507,0.0009775377],"domain_scores_gemma":[0.9515387,0.030665841,0.0017027507,0.003835167,0.0061040395,0.006153513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031454083,0.0005530822,0.000766529,0.0030378785,0.0033740718,0.013513607,0.0025886218,0.002816995,0.00530744],"category_scores_gemma":[0.038727317,0.00077907904,0.00067768845,0.0027284913,0.008550602,0.021616543,0.007712693,0.011586315,0.0011940587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007597505,0.00056292355,0.008063097,0.0005316323,0.00002092265,0.00016577583,0.043080743,0.002152575,0.0024929666,0.76826733,0.021588016,0.15299812],"study_design_scores_gemma":[0.000039648927,0.00017203239,0.005797211,0.0024121471,0.0000352737,0.00016252059,0.027487613,0.008945827,0.0025158676,0.67881453,0.273548,0.000069333386],"about_ca_topic_score_codex":0.006014921,"about_ca_topic_score_gemma":0.010078796,"teacher_disagreement_score":0.031454083,"about_ca_system_score_codex":0.008555697,"about_ca_system_score_gemma":0.020242913,"threshold_uncertainty_score":0.16634709},"labels":[],"label_agreement":null},{"id":"W2905106459","doi":"10.36311/1981-1640.2018.v12n4.02.p6","title":"Classifying the LOD cloud","year":2018,"lang":"en","type":"article","venue":"Brazilian Journal of Information Science research trends","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Terminology; Linked data; Computer science; Cloud computing; Data science; Identifier; Digging; Consistency (knowledge bases); World Wide Web; Information retrieval; Semantic Web; Linguistics; Artificial intelligence; Geography","score_opus":0.0871600138241451,"score_gpt":0.4038190673569561,"score_spread":0.316659053532811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905106459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25026917,0.004881115,0.5502057,0.020490488,0.0009712392,0.0009743758,0.014934549,0.003382556,0.15389085],"genre_scores_gemma":[0.64859086,0.0042983615,0.30981696,0.0023628308,0.00030214078,0.00056674745,0.019384008,0.001068677,0.01360936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99069804,0.0023214002,0.0011187217,0.0011977657,0.003454131,0.0012099838],"domain_scores_gemma":[0.98695624,0.0027467723,0.0011799949,0.0045042336,0.0038254047,0.0007873849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050117583,0.0005729192,0.00064374175,0.013235072,0.004113915,0.017108276,0.0017732304,0.001901682,0.0030702865],"category_scores_gemma":[0.022904979,0.0004555195,0.0011395253,0.020290898,0.0058463537,0.018883482,0.010306243,0.0017672234,0.0015527672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015387271,0.00006360228,0.0323717,0.0005159733,0.000046404926,0.0008083167,0.014089478,0.0029395171,0.0028502936,0.78974885,0.03051936,0.12589256],"study_design_scores_gemma":[0.000020769427,0.000029479725,0.01429741,0.00071210845,0.000046374713,0.0011389969,0.030571345,0.017270112,0.002871686,0.4404948,0.49245918,0.00008775458],"about_ca_topic_score_codex":0.01634758,"about_ca_topic_score_gemma":0.013069678,"teacher_disagreement_score":0.017108276,"about_ca_system_score_codex":0.005548104,"about_ca_system_score_gemma":0.0038407666,"threshold_uncertainty_score":0.040254533},"labels":[],"label_agreement":null},{"id":"W2905126952","doi":"10.1007/s10817-008-9104-7","title":"On the Scalability of Description Logic Instance Retrieval","year":2008,"lang":"en","type":"article","venue":"Journal of Automated Reasoning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Description logic; Computer science; Scalability; Ontology; Semantic Web; Web Ontology Language; Ontology language; Information retrieval; Knowledge representation and reasoning; Implementation; Representation (politics); OWL-S; Theoretical computer science; Programming language; Semantic Web Stack; Database; Artificial intelligence","score_opus":0.03488639177182947,"score_gpt":0.2576629082741037,"score_spread":0.22277651650227423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905126952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30405018,0.030431572,0.47290435,0.06149187,0.002021146,0.0010271462,0.005825677,0.017459905,0.10478823],"genre_scores_gemma":[0.84629405,0.004314292,0.12926553,0.0035507712,0.0016384406,0.00029319728,0.004391696,0.0019075993,0.0083445115],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.96209615,0.0151710985,0.002741529,0.0039627766,0.013202914,0.002825481],"domain_scores_gemma":[0.7526069,0.19902317,0.003372406,0.03197705,0.010823264,0.0021971983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029304238,0.0016499566,0.0041092266,0.0051441626,0.0027418009,0.009901686,0.005766345,0.004408797,0.018627793],"category_scores_gemma":[0.16707794,0.0016909087,0.0023305325,0.009116514,0.004869337,0.043654695,0.008885726,0.0054996316,0.0033293336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046422756,0.0010775651,0.014640703,0.0012035429,0.0007031176,0.00069954497,0.0014687332,0.12215647,0.008322034,0.21112007,0.09995647,0.53400946],"study_design_scores_gemma":[0.00042903464,0.0001405197,0.0014837062,0.00014807498,0.00029880207,0.00029787252,0.0006127282,0.723026,0.004255418,0.26112372,0.008110849,0.0000733653],"about_ca_topic_score_codex":0.018914146,"about_ca_topic_score_gemma":0.011566678,"teacher_disagreement_score":0.029304238,"about_ca_system_score_codex":0.0053268946,"about_ca_system_score_gemma":0.0053866263,"threshold_uncertainty_score":0.15497744},"labels":[],"label_agreement":null},{"id":"W2905358588","doi":"","title":"Fouille textuelle, extraction et catégorisation de contextes de citations pour les articles scientifiques","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy","score_opus":0.03539947354027575,"score_gpt":0.2788088067803887,"score_spread":0.24340933324011296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905358588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2036632,0.043825127,0.5702747,0.015835512,0.006932145,0.0032945527,0.064400874,0.03324892,0.058524963],"genre_scores_gemma":[0.28175,0.015636997,0.61863965,0.0012388428,0.002499325,0.0017332289,0.03846279,0.0035508024,0.036488354],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99319625,0.0014112912,0.00084404874,0.0013140149,0.0029014414,0.0003329766],"domain_scores_gemma":[0.9845241,0.007830498,0.0010587082,0.0013158941,0.0047695427,0.000501164],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004285263,0.0018000305,0.0018081582,0.033051368,0.0032770326,0.010639879,0.0007740758,0.0021644023,0.010052521],"category_scores_gemma":[0.03336445,0.0007583321,0.0027130353,0.016865877,0.0014854973,0.005468481,0.0014999455,0.0030074166,0.006967378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074952305,0.00029183578,0.020814888,0.0044189594,0.00059859257,0.001767507,0.004923198,0.0028328279,0.05565358,0.04932359,0.073024504,0.7856011],"study_design_scores_gemma":[0.00033324288,0.0003126359,0.066052884,0.003223047,0.00075568806,0.0052760034,0.005952195,0.03386201,0.0679199,0.0437044,0.7722146,0.00039336557],"about_ca_topic_score_codex":0.018994018,"about_ca_topic_score_gemma":0.019877713,"teacher_disagreement_score":0.9669486,"about_ca_system_score_codex":0.0029428154,"about_ca_system_score_gemma":0.005695917,"threshold_uncertainty_score":0.037766933},"labels":[],"label_agreement":null},{"id":"W2910832248","doi":"10.1109/wi.2018.00-49","title":"Knowledge Graphs, Category Theory and Signatures","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Topos theory; Computer science; Theoretical computer science; Semantics (computer science); Knowledge graph; Category theory; Knowledge representation and reasoning; Representation (politics); Graph; Graph theory; Artificial intelligence; Mathematics; Programming language","score_opus":0.015386184878486734,"score_gpt":0.265523014129107,"score_spread":0.25013682925062025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910832248","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030817531,0.017924959,0.8086851,0.011601882,0.00079553004,0.00015451702,0.0009301531,0.00084480224,0.1282455],"genre_scores_gemma":[0.66893446,0.011501796,0.2893805,0.0023625824,0.0011831103,0.00048586685,0.0017329438,0.00022701,0.024191665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99770665,0.0008712626,0.00016327553,0.000488314,0.0005967691,0.0001736399],"domain_scores_gemma":[0.99630046,0.0020852026,0.0003408658,0.00049788697,0.0005523633,0.00022320334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020700493,0.00050641963,0.00069300254,0.0061351485,0.0020156098,0.005151032,0.0012437772,0.0018127537,0.0041312617],"category_scores_gemma":[0.00435207,0.00031967106,0.0008629301,0.0061817016,0.00971132,0.009453777,0.0028511593,0.0018866819,0.0006313159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031529696,0.000002807633,0.00007711484,0.00004072543,0.0000045283373,0.00003298961,0.0001642558,0.00050159683,0.000055220182,0.99110585,0.00086676667,0.007144912],"study_design_scores_gemma":[0.0000013162762,0.0000027588794,0.000053722968,0.000014776269,0.0000024883263,0.00004627461,0.000086901535,0.0008924421,0.00005128477,0.9880292,0.010814463,0.0000044238386],"about_ca_topic_score_codex":0.004978078,"about_ca_topic_score_gemma":0.002801139,"teacher_disagreement_score":0.0061351485,"about_ca_system_score_codex":0.0031249048,"about_ca_system_score_gemma":0.0017437597,"threshold_uncertainty_score":0.022672892},"labels":[],"label_agreement":null},{"id":"W2910919272","doi":"10.4018/978-1-60960-842-2.ch011","title":"Boosting Semantic Relations for Example Population in Concept Learning","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Graph; Natural language processing; Artificial intelligence; Knowledge graph; Cognitive science; Theoretical computer science; Psychology","score_opus":0.04879171221961462,"score_gpt":0.2625815696082208,"score_spread":0.2137898573886062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910919272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015200228,0.002147624,0.9630631,0.0007721013,0.00012968849,0.00015354648,0.000096167336,0.0005124219,0.017925046],"genre_scores_gemma":[0.31876278,0.0019037821,0.6642728,0.0004563287,0.0003084799,0.00047116296,0.00050866604,0.00028340783,0.013032565],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895644,0.0005273991,0.000034318626,0.00024607868,0.00019009414,0.000045704768],"domain_scores_gemma":[0.99701726,0.002323064,0.00008702027,0.00032427,0.00016652256,0.000081933125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028243903,0.000537758,0.00076842617,0.0014900749,0.00067794975,0.0013337542,0.0018700261,0.0010788887,0.0086672995],"category_scores_gemma":[0.008936612,0.0003027909,0.0008902339,0.0018556532,0.0015448116,0.004291035,0.0022839904,0.0016532093,0.0016101863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007715325,0.00014754666,0.001700797,0.00028891818,0.000060834966,0.0000651749,0.0005397519,0.048905943,0.0020514943,0.4623106,0.008777199,0.47507462],"study_design_scores_gemma":[0.000029480532,0.000065896085,0.0008680314,0.000079453486,0.000035382036,0.00011957404,0.00011757907,0.3168081,0.001949456,0.6523599,0.027546212,0.00002088478],"about_ca_topic_score_codex":0.0012002672,"about_ca_topic_score_gemma":0.0018487506,"teacher_disagreement_score":0.0086672995,"about_ca_system_score_codex":0.0011222305,"about_ca_system_score_gemma":0.0006400339,"threshold_uncertainty_score":0.028994977},"labels":[],"label_agreement":null},{"id":"W2911438185","doi":"","title":"Proceedings of the 2nd international conference on Semantics in databases","year":2001,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Database; Semantics (computer science); Computer science; Programming language","score_opus":0.07213453072954042,"score_gpt":0.29764307397662376,"score_spread":0.22550854324708336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911438185","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0204528,0.11576144,0.6517568,0.037963804,0.06313533,0.0006141047,0.0023969612,0.0036033043,0.10431542],"genre_scores_gemma":[0.115682475,0.11821363,0.412161,0.010527046,0.02202551,0.00056811766,0.017081153,0.0026049311,0.3011362],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99711335,0.0010259452,0.00035374894,0.00043349274,0.00086414797,0.00020933073],"domain_scores_gemma":[0.9930159,0.002812792,0.00019031522,0.0012527034,0.0019360586,0.00079217507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007115858,0.0010658843,0.0031662888,0.0017905222,0.0014272906,0.009591443,0.0020377329,0.0022260996,0.028932322],"category_scores_gemma":[0.008432268,0.001059419,0.0017694217,0.0025603971,0.0023873127,0.010896323,0.002848678,0.0049626757,0.007871391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009911404,0.0006878218,0.0023312704,0.0012184525,0.00038770246,0.00044401878,0.0016282249,0.0018664413,0.006924831,0.12660761,0.43543842,0.42147413],"study_design_scores_gemma":[0.0000834111,0.00010266748,0.001141067,0.00034854564,0.0001870974,0.00047358242,0.00042767715,0.007883802,0.002932763,0.06632977,0.92003614,0.000053505373],"about_ca_topic_score_codex":0.0063999663,"about_ca_topic_score_gemma":0.0072079618,"teacher_disagreement_score":0.028932322,"about_ca_system_score_codex":0.0022024047,"about_ca_system_score_gemma":0.004191148,"threshold_uncertainty_score":0.09678829},"labels":[],"label_agreement":null},{"id":"W2911628720","doi":"","title":"Proceedings of the 2010 international conference on Web-age information management","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Simon Fraser University","funders":"","keywords":"World Wide Web; Business; Computer science; Political science; Library science","score_opus":0.01749289936715576,"score_gpt":0.2362847919228094,"score_spread":0.21879189255565365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911628720","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03949485,0.06012905,0.36148468,0.073292665,0.09864522,0.0011489738,0.002994323,0.0057773343,0.3570329],"genre_scores_gemma":[0.10841657,0.04448638,0.1268576,0.008378423,0.01093299,0.0004723187,0.0146459695,0.0018239366,0.6839858],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978777,0.0006656359,0.00015975095,0.0002446317,0.0008218797,0.00023045724],"domain_scores_gemma":[0.9954116,0.0010345129,0.00013821817,0.00071453006,0.0017794764,0.0009217089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005666398,0.00093901565,0.0016814331,0.001499982,0.0016051938,0.008955548,0.0014668313,0.0023677847,0.038637612],"category_scores_gemma":[0.005207374,0.0005295668,0.00095338316,0.002223754,0.0015680551,0.007980464,0.002613807,0.0031322706,0.01720756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005179758,0.00075219234,0.0021450846,0.00050376257,0.00014038905,0.0003148615,0.0005869681,0.0010207752,0.005345662,0.044198427,0.59636176,0.34811226],"study_design_scores_gemma":[0.000036919915,0.00007317237,0.0014792634,0.000240395,0.00011491502,0.00031686205,0.00043216455,0.007943566,0.0041300324,0.019053226,0.96614087,0.000038562626],"about_ca_topic_score_codex":0.007582572,"about_ca_topic_score_gemma":0.010900204,"teacher_disagreement_score":0.038637612,"about_ca_system_score_codex":0.0017602779,"about_ca_system_score_gemma":0.0036862327,"threshold_uncertainty_score":0.12925565},"labels":[],"label_agreement":null},{"id":"W2912484255","doi":"","title":"Proceedings of the 15th international conference on Computer communication","year":2002,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Political science","score_opus":0.058185603324887036,"score_gpt":0.25247522675084777,"score_spread":0.19428962342596073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912484255","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043886602,0.07097427,0.31000522,0.028290201,0.056803003,0.0004898526,0.0029878498,0.0063630133,0.48019993],"genre_scores_gemma":[0.1689333,0.05046733,0.0834,0.0037113684,0.00724734,0.00035317664,0.012343702,0.0014326822,0.67211103],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992976,0.00018876868,0.00004894389,0.00012082738,0.00024754254,0.000096236676],"domain_scores_gemma":[0.99783945,0.0006175235,0.00005698229,0.00039470993,0.0008358355,0.00025537985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014155775,0.0006492266,0.001258196,0.0010959039,0.0011674588,0.004753208,0.00076677196,0.0013525442,0.05762696],"category_scores_gemma":[0.0023477136,0.00026431697,0.00058346667,0.0013809483,0.00087723753,0.003699032,0.0010505734,0.0017024736,0.021363674],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005262635,0.00041592654,0.002148547,0.00035693278,0.00009793463,0.00021080616,0.0003628653,0.0010421424,0.005971371,0.02822961,0.49034876,0.47028875],"study_design_scores_gemma":[0.000037517166,0.00009149827,0.0024076807,0.00022334632,0.00014350726,0.00026531078,0.0004048414,0.01226722,0.0042462014,0.016767519,0.9631151,0.000030254294],"about_ca_topic_score_codex":0.0058495165,"about_ca_topic_score_gemma":0.008328745,"teacher_disagreement_score":0.05762696,"about_ca_system_score_codex":0.00088545727,"about_ca_system_score_gemma":0.0017302856,"threshold_uncertainty_score":0.19278139},"labels":[],"label_agreement":null},{"id":"W2912689839","doi":"","title":"Proceedings of the Second international conference on Software Language Engineering","year":2009,"lang":"en","type":"article","venue":"Software Language Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Software engineering; Programming language","score_opus":0.007700210996221897,"score_gpt":0.21714489833944536,"score_spread":0.20944468734322347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912689839","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044482887,0.063978866,0.49954748,0.038956966,0.07289014,0.0005911517,0.0012179983,0.0037373079,0.2745972],"genre_scores_gemma":[0.14856768,0.041376885,0.21118563,0.0046942974,0.010246251,0.0004667836,0.008109707,0.0024322798,0.57292056],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997251,0.00080067606,0.00022433992,0.00037148633,0.0010743862,0.00027820468],"domain_scores_gemma":[0.9942107,0.0016043648,0.00015647543,0.00083966996,0.0025188369,0.00066999637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054414943,0.00094106264,0.0015377532,0.0016685296,0.0012560185,0.00695586,0.0014609555,0.0018802187,0.03276365],"category_scores_gemma":[0.0068229786,0.0004749903,0.0011002808,0.0014944737,0.0014466054,0.0047123716,0.0020626413,0.0030505848,0.010594613],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000557597,0.0007117041,0.0026957511,0.0005069328,0.00015693996,0.0004495456,0.0009156765,0.0016356142,0.008059567,0.045891963,0.34561884,0.5927999],"study_design_scores_gemma":[0.00006780691,0.00017221266,0.0021245924,0.0003406416,0.00013432109,0.0006042861,0.0005494671,0.01224489,0.006711169,0.028492946,0.94850904,0.000048685095],"about_ca_topic_score_codex":0.0048293937,"about_ca_topic_score_gemma":0.0065667657,"teacher_disagreement_score":0.03276365,"about_ca_system_score_codex":0.0014217718,"about_ca_system_score_gemma":0.0037202628,"threshold_uncertainty_score":0.10960537},"labels":[],"label_agreement":null},{"id":"W2912819880","doi":"10.22215/etd/2012-09769","title":"Formalizing relational databases as OWL ontologies","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Relational database; Web Ontology Language; World Wide Web; Relational model; Information retrieval; Database; Semantic Web","score_opus":0.06953719750607298,"score_gpt":0.32159142923110234,"score_spread":0.2520542317250294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912819880","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0067905057,0.0011820504,0.97480506,0.0014473486,0.00023063895,0.00014668162,0.00046597945,0.0016880948,0.013243673],"genre_scores_gemma":[0.13320723,0.003120662,0.8454613,0.00083080895,0.00034140065,0.00031479116,0.0026923653,0.000710752,0.0133206975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9943625,0.0017519479,0.0008069892,0.00072523794,0.0019919304,0.00036136876],"domain_scores_gemma":[0.9950146,0.0024245488,0.00040895326,0.0012110145,0.0007972114,0.00014360232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006675878,0.0007778899,0.0005525066,0.002469014,0.0010606899,0.009298875,0.0021557289,0.0013082008,0.0039954646],"category_scores_gemma":[0.011649009,0.001332706,0.0023477382,0.002767001,0.0026189748,0.014801676,0.0051050205,0.0035256222,0.0013815094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029221304,0.000057494988,0.00029859558,0.00015922272,0.000043642212,0.00017364831,0.00072995084,0.00767944,0.001621229,0.9348055,0.003582725,0.050819363],"study_design_scores_gemma":[0.000041315478,0.000032721535,0.00020161507,0.00029589958,0.00008618789,0.00023156565,0.0005363731,0.06599417,0.005187408,0.8174641,0.109888695,0.00003998625],"about_ca_topic_score_codex":0.008363574,"about_ca_topic_score_gemma":0.010963837,"teacher_disagreement_score":0.009298875,"about_ca_system_score_codex":0.002365048,"about_ca_system_score_gemma":0.0032292414,"threshold_uncertainty_score":0.035305858},"labels":[],"label_agreement":null},{"id":"W2912909533","doi":"","title":"Proceedings of the 2012 international conference on Advances in Conceptual Modeling","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Engineering ethics; Political science; Data science; Management science; Engineering","score_opus":0.05809259574960611,"score_gpt":0.29199548840969725,"score_spread":0.23390289266009112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912909533","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015714657,0.06593673,0.74898446,0.032070603,0.031339888,0.00031135324,0.0021835654,0.002860771,0.10059788],"genre_scores_gemma":[0.12578644,0.0838954,0.5663038,0.0053629647,0.008592999,0.00045345767,0.022274543,0.002579706,0.18475069],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972928,0.0010516571,0.00027935428,0.000403122,0.0008047264,0.00016825277],"domain_scores_gemma":[0.9928461,0.0023200482,0.00018698454,0.0017225036,0.0023112765,0.0006131689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007472563,0.0008619369,0.0020908953,0.0016611456,0.0011534062,0.008547458,0.001947948,0.0017973079,0.02866905],"category_scores_gemma":[0.010753114,0.0007509689,0.0016279542,0.0026614745,0.0014954987,0.008247565,0.0031158377,0.0039297757,0.008742966],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041801992,0.0005349479,0.0020405692,0.000849193,0.00029269903,0.000245903,0.0009151753,0.002774741,0.0035028611,0.18176234,0.28410146,0.52256215],"study_design_scores_gemma":[0.000039211605,0.000045946832,0.0010840888,0.00043009562,0.00017870756,0.00029778955,0.00034618395,0.020476751,0.0024193304,0.08215606,0.8924807,0.0000450982],"about_ca_topic_score_codex":0.008929798,"about_ca_topic_score_gemma":0.008903525,"teacher_disagreement_score":0.02866905,"about_ca_system_score_codex":0.0022180807,"about_ca_system_score_gemma":0.0035778894,"threshold_uncertainty_score":0.09590757},"labels":[],"label_agreement":null},{"id":"W2913265645","doi":"10.2777/836532","title":"Future of scholarly publishing and scholarly communication report of the expert group to the European Commission","year":2019,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Scholarly communication; Publishing; Commission; Political science; European commission; Group (periodic table); Library science; Electronic publishing; Internet privacy; Public relations; World Wide Web; Media studies; Computer science; Sociology; Law; Business; European union; The Internet","score_opus":0.023489993183759796,"score_gpt":0.25028371492391466,"score_spread":0.22679372174015486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913265645","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012139059,0.17257172,0.02729614,0.4821241,0.032752097,0.0008861535,0.004461858,0.0014435168,0.26632547],"genre_scores_gemma":[0.28518125,0.1671318,0.14030989,0.078934416,0.013428691,0.0023817688,0.015039796,0.0033779603,0.29421443],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9133408,0.0246097,0.0077403705,0.0034117722,0.04513203,0.0057651955],"domain_scores_gemma":[0.9296546,0.02345275,0.0057820687,0.0051714573,0.028636767,0.0073023513],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.08448582,0.002018329,0.0019970443,0.0069676647,0.003711385,0.025720835,0.005044143,0.019604648,0.007213625],"category_scores_gemma":[0.07528086,0.00093259563,0.0021025285,0.007635201,0.0041923407,0.010475272,0.006381433,0.0070008547,0.0026266624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012664037,0.00014204545,0.0010452237,0.002040895,0.00007276924,0.00072167383,0.002271702,0.0036306924,0.00075483846,0.3027876,0.55061543,0.13579048],"study_design_scores_gemma":[0.000022881413,0.00002778443,0.001291131,0.0026781345,0.000062062914,0.0002776402,0.0009207497,0.00091178,0.00090217765,0.019736908,0.9731101,0.000058790312],"about_ca_topic_score_codex":0.03677193,"about_ca_topic_score_gemma":0.008284398,"teacher_disagreement_score":0.97427917,"about_ca_system_score_codex":0.017261421,"about_ca_system_score_gemma":0.07528606,"threshold_uncertainty_score":0.44680905},"labels":[],"label_agreement":null},{"id":"W2913536392","doi":"","title":"Proceedings of the 21st international conference on Distributed Computing","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Political science; Data science","score_opus":0.03399892819662135,"score_gpt":0.2772269296431243,"score_spread":0.24322800144650294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913536392","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030715553,0.028596561,0.61463463,0.031170338,0.06701777,0.0008006848,0.0017307358,0.0063647474,0.21896902],"genre_scores_gemma":[0.18548684,0.0246134,0.2317682,0.0055612186,0.009508155,0.00056688813,0.011165461,0.0035863884,0.5277435],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978537,0.0006934692,0.00014958341,0.0003352723,0.00073609705,0.00023197956],"domain_scores_gemma":[0.9950492,0.0012650412,0.00009561064,0.001228428,0.0016141515,0.000747518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044810805,0.00086544524,0.0021211638,0.0007396798,0.0014642926,0.0071155746,0.0017365905,0.001655501,0.044652253],"category_scores_gemma":[0.005829243,0.00055103796,0.0009232435,0.0011967984,0.0016622348,0.004795074,0.002112194,0.0032324323,0.016951624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011890408,0.0007927933,0.0029174415,0.00048574642,0.00018810264,0.00029587335,0.0006817225,0.002280397,0.0070860847,0.056810502,0.5336869,0.39358535],"study_design_scores_gemma":[0.00013860757,0.00013298057,0.001736791,0.00021078628,0.00016336996,0.0002978582,0.00039239036,0.018615678,0.004843602,0.038383577,0.935043,0.000041476687],"about_ca_topic_score_codex":0.0063208723,"about_ca_topic_score_gemma":0.009283311,"teacher_disagreement_score":0.044652253,"about_ca_system_score_codex":0.0014471841,"about_ca_system_score_gemma":0.0030466411,"threshold_uncertainty_score":0.14937669},"labels":[],"label_agreement":null},{"id":"W2914086518","doi":"","title":"Proceedings of the 3rd International Conference on Semantic Web Conference","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Semantic Web; World Wide Web; Computer science; Library science; Political science","score_opus":0.03920662371910864,"score_gpt":0.2610587887180301,"score_spread":0.2218521649989215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914086518","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042777628,0.037922185,0.4166245,0.041456804,0.0988415,0.0009453146,0.0054027233,0.008967355,0.34706205],"genre_scores_gemma":[0.11906096,0.027225606,0.1474742,0.0061198203,0.0076406323,0.0004429183,0.022987243,0.0026792486,0.66636944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806744,0.000500961,0.00013784957,0.00024453548,0.0008134552,0.00023575444],"domain_scores_gemma":[0.9962537,0.0005739728,0.00007617052,0.00053102087,0.0019185597,0.0006465547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004588409,0.0009590481,0.0018071986,0.0017296044,0.0017547214,0.0071429615,0.0013383152,0.0018574117,0.042278275],"category_scores_gemma":[0.0036078808,0.00048694163,0.0011104447,0.0021377932,0.0011433233,0.0068841195,0.0022708077,0.0029142478,0.018786741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008279776,0.0006429865,0.0019655374,0.00039633937,0.0001505915,0.00026341996,0.00051714486,0.0010116451,0.0070481333,0.029069718,0.6368704,0.32123607],"study_design_scores_gemma":[0.00004811158,0.00007431314,0.0011340325,0.00011774132,0.000118303185,0.00019610148,0.0003997406,0.0071379202,0.0066030016,0.0127187865,0.9714129,0.000039020066],"about_ca_topic_score_codex":0.0102139795,"about_ca_topic_score_gemma":0.013894001,"teacher_disagreement_score":0.042278275,"about_ca_system_score_codex":0.0016588185,"about_ca_system_score_gemma":0.0041615027,"threshold_uncertainty_score":0.14143485},"labels":[],"label_agreement":null},{"id":"W2914342711","doi":"","title":"Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unified Modeling Language; Software engineering; Computer science; Process management; Programming language; Engineering; Software","score_opus":0.11610518015345789,"score_gpt":0.25806635003490236,"score_spread":0.14196116988144447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914342711","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03723794,0.02558473,0.7394467,0.10725275,0.022598686,0.00066233356,0.0031282052,0.004726085,0.059362598],"genre_scores_gemma":[0.13677165,0.039093625,0.5847869,0.019762794,0.008574632,0.0006966308,0.019434422,0.0057477583,0.18513167],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935714,0.0030899527,0.0004816977,0.0007816429,0.0016480299,0.00042730378],"domain_scores_gemma":[0.9818647,0.008087045,0.00055605406,0.0029642605,0.0051143537,0.0014135997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03128341,0.0012905587,0.0025765356,0.0018783343,0.0015164418,0.008223368,0.0026253636,0.003720844,0.011630707],"category_scores_gemma":[0.019052094,0.001382987,0.001552122,0.0026134753,0.0023990555,0.0097943675,0.0049146945,0.007136428,0.0065552406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009824536,0.0010388958,0.0017426882,0.000873882,0.00019205977,0.0005705963,0.0023857465,0.004023796,0.008246591,0.08641663,0.47482634,0.4187003],"study_design_scores_gemma":[0.00026029898,0.00017700288,0.0017671648,0.00066252064,0.00026518042,0.00085852685,0.0015890324,0.035626072,0.01668305,0.056616474,0.8853628,0.0001318628],"about_ca_topic_score_codex":0.0119267935,"about_ca_topic_score_gemma":0.013543369,"teacher_disagreement_score":0.03128341,"about_ca_system_score_codex":0.0030835734,"about_ca_system_score_gemma":0.005517855,"threshold_uncertainty_score":0.16544443},"labels":[],"label_agreement":null},{"id":"W2914481547","doi":"","title":"Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Annotation; Scope (computer science); World Wide Web; Semantic search; Dimension (graph theory); Matching (statistics); Semantic Web; Artificial intelligence","score_opus":0.016384550290751202,"score_gpt":0.23599156008282154,"score_spread":0.21960700979207035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914481547","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013444205,0.12590814,0.53644484,0.054443114,0.06617306,0.0023699123,0.007560533,0.012253157,0.181403],"genre_scores_gemma":[0.06417367,0.062714614,0.43402982,0.014412286,0.019347178,0.0018814694,0.04066363,0.004904925,0.35787243],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9892793,0.004464592,0.0012359611,0.0015677834,0.002698389,0.0007540303],"domain_scores_gemma":[0.98440766,0.0066453847,0.0005330265,0.0030725088,0.0040544863,0.0012870017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013901948,0.0020355675,0.0026086671,0.004412624,0.0016221969,0.01161514,0.0041786153,0.003751033,0.053422164],"category_scores_gemma":[0.018759375,0.0010188989,0.0021256448,0.004533615,0.0030350364,0.018031342,0.005288837,0.005874922,0.028908413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048985565,0.00045390645,0.0005404106,0.0014641965,0.00018949501,0.00030280536,0.0014109127,0.0011676393,0.0053705745,0.02545256,0.5577646,0.40539306],"study_design_scores_gemma":[0.0000684293,0.00013341424,0.00088170124,0.0006137948,0.00008161868,0.00035480194,0.00063669716,0.0039027603,0.0018995489,0.022240542,0.9691074,0.000079408754],"about_ca_topic_score_codex":0.005922883,"about_ca_topic_score_gemma":0.006805433,"teacher_disagreement_score":0.053422164,"about_ca_system_score_codex":0.00310558,"about_ca_system_score_gemma":0.0032424277,"threshold_uncertainty_score":0.17871493},"labels":[],"label_agreement":null},{"id":"W2914664732","doi":"10.1002/pra2.2018.14505501011","title":"Towards linked data: Some consequences for researchers in the social sciences and humanities","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Metadata; Reification (Marxism); Data science; Confusion; Digital humanities; Linked data; Semantic Web; Computer science; Sociology; Knowledge management; World Wide Web; Epistemology; Psychology; Political science","score_opus":0.14745859303175143,"score_gpt":0.3691353156235334,"score_spread":0.22167672259178198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914664732","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17505524,0.01756417,0.11995751,0.60392326,0.0022481133,0.0003020327,0.0002004271,0.0001915431,0.080557674],"genre_scores_gemma":[0.9182774,0.0094241295,0.051146325,0.015465355,0.0011858167,0.0003400934,0.000106554326,0.0001472646,0.003907102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.8796458,0.09475339,0.002807674,0.0029778257,0.017901259,0.0019139755],"domain_scores_gemma":[0.61572546,0.31674045,0.008888,0.016417151,0.036914166,0.0053147473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.15172094,0.00045393,0.0005888588,0.0067947316,0.012836432,0.030056057,0.00250622,0.009586865,0.003232913],"category_scores_gemma":[0.17221004,0.0007151149,0.00086696766,0.0126047665,0.040843904,0.04810495,0.016689217,0.010481789,0.00051914575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009533874,0.00011668566,0.0063400827,0.00029119843,0.000021543588,0.0010015346,0.038663294,0.0011664366,0.00041312713,0.90745515,0.0055130576,0.038922645],"study_design_scores_gemma":[0.000050397644,0.00007150064,0.0030501643,0.0008187307,0.000022993127,0.00089820777,0.06256088,0.003967938,0.0014230453,0.8440164,0.08302459,0.00009515448],"about_ca_topic_score_codex":0.004562799,"about_ca_topic_score_gemma":0.0036196315,"teacher_disagreement_score":0.15172094,"about_ca_system_score_codex":0.009053579,"about_ca_system_score_gemma":0.007116157,"threshold_uncertainty_score":0.80238664},"labels":[],"label_agreement":null},{"id":"W2914786663","doi":"10.1016/j.promfg.2018.12.030","title":"Translating JSON Schema logics into OWL axioms for unified data validation on a digital manufacturing platform","year":2019,"lang":"en","type":"article","venue":"Procedia Manufacturing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"JSON; Computer science; Web Ontology Language; Programming language; Schema (genetic algorithms); Ontology; Notation; Software engineering; Semantic Web; Information retrieval; Mathematics","score_opus":0.06199257151985787,"score_gpt":0.2826114940096407,"score_spread":0.22061892248978282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914786663","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008579518,0.000058189074,0.9779658,0.00053478533,0.00016319842,0.00039945368,0.0008476046,0.004735532,0.0067160223],"genre_scores_gemma":[0.103681654,0.00025643889,0.8823996,0.00073109235,0.00005408876,0.00063546875,0.0045514177,0.0020808359,0.0056094313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919418,0.0019428433,0.0011393938,0.0007135525,0.00383872,0.00042366577],"domain_scores_gemma":[0.9890337,0.0035740556,0.00074458425,0.00334465,0.0030539033,0.00024920038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00811251,0.0007139838,0.0004998692,0.002131501,0.0016891162,0.0056977835,0.0019757657,0.0010564659,0.0038970804],"category_scores_gemma":[0.016334772,0.00071540865,0.0017430743,0.0015282219,0.0023990064,0.005689866,0.004564673,0.0026731484,0.0013425607],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028579292,0.0004928432,0.0032499097,0.0007658455,0.00013711643,0.0016526052,0.00439133,0.021873116,0.034181535,0.74569404,0.021251634,0.16602434],"study_design_scores_gemma":[0.0001208153,0.000113049544,0.0016298987,0.0008451107,0.00014727717,0.0009835755,0.0020512654,0.22864215,0.1758205,0.24384809,0.34561327,0.00018502014],"about_ca_topic_score_codex":0.010594224,"about_ca_topic_score_gemma":0.01232671,"teacher_disagreement_score":0.010594224,"about_ca_system_score_codex":0.0026091125,"about_ca_system_score_gemma":0.006846507,"threshold_uncertainty_score":0.042903543},"labels":[],"label_agreement":null},{"id":"W2914946984","doi":"","title":"Proceedings of the 5th international conference on Similarity Search and Applications","year":2012,"lang":"en","type":"article","venue":"Similarity Search and Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Similarity (geometry); Computer science; Information retrieval; Artificial intelligence","score_opus":0.06917245215482669,"score_gpt":0.33216398470808384,"score_spread":0.26299153255325713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914946984","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040779207,0.07985369,0.66896254,0.0125813475,0.031640574,0.0009102371,0.002008487,0.004809743,0.15845421],"genre_scores_gemma":[0.19144203,0.040380247,0.4650109,0.0032951557,0.007470703,0.00063914695,0.016838165,0.0015185227,0.27340505],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972574,0.00073522725,0.0002985705,0.00041949374,0.0010628303,0.00022658528],"domain_scores_gemma":[0.99597174,0.00092811696,0.00012061467,0.00079452625,0.001739141,0.0004458627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039963434,0.0009010959,0.0024065846,0.0027164605,0.0013139372,0.005318374,0.0021233773,0.0018677472,0.036761276],"category_scores_gemma":[0.00631789,0.00047289048,0.0012964945,0.003279652,0.001151705,0.0050361943,0.0022682392,0.0020450328,0.012280972],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006008177,0.0006215051,0.001976837,0.0005677439,0.00025022315,0.00028614615,0.0003840333,0.0016243007,0.007848585,0.03511218,0.22761129,0.72311634],"study_design_scores_gemma":[0.00009076643,0.0002948212,0.0037818104,0.00038171804,0.00024296172,0.0009684347,0.0005215301,0.04497217,0.008115327,0.04629356,0.8942591,0.00007798868],"about_ca_topic_score_codex":0.0049208896,"about_ca_topic_score_gemma":0.0053768638,"teacher_disagreement_score":0.036761276,"about_ca_system_score_codex":0.0012109631,"about_ca_system_score_gemma":0.0023863635,"threshold_uncertainty_score":0.12297875},"labels":[],"label_agreement":null},{"id":"W2915053161","doi":"10.1002/pra2.2018.14505501051","title":"The contribution of information science in the Semantic Web research landscape","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Association for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social Semantic Web; Semantic Web; Computer science; Semantic analytics; Semantic Web Stack; World Wide Web; Data Web; Web intelligence; Web standards; Citation; Data science; Information retrieval; Web modeling; Web page","score_opus":0.015603127371716794,"score_gpt":0.2950184856080186,"score_spread":0.27941535823630176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915053161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28131464,0.27839884,0.046556577,0.23050922,0.002826956,0.00017647794,0.0007005573,0.00013758779,0.15937914],"genre_scores_gemma":[0.9224951,0.054489322,0.014552169,0.0037938799,0.002452243,0.00009359058,0.00017599887,0.0000727632,0.0018749237],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.96675617,0.018920612,0.0020764158,0.001703992,0.009316005,0.0012267409],"domain_scores_gemma":[0.84019333,0.12047681,0.011549512,0.0058555286,0.018895805,0.0030290515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047135197,0.0006012016,0.0012287181,0.07271888,0.0052175066,0.030905474,0.0013383192,0.0036139402,0.0026910233],"category_scores_gemma":[0.056161948,0.0005880486,0.00092293037,0.08176866,0.023779918,0.03578518,0.007722428,0.0033271937,0.00033897202],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000633538,0.00011456934,0.028612647,0.0019925656,0.00021461767,0.000551131,0.014254348,0.0018967147,0.0010752991,0.8322271,0.0054224483,0.11357523],"study_design_scores_gemma":[0.000017537732,0.00006386193,0.02513772,0.004347275,0.0001535439,0.0008333799,0.047371592,0.0042410097,0.0012576084,0.7383134,0.1781392,0.00012389041],"about_ca_topic_score_codex":0.0034775713,"about_ca_topic_score_gemma":0.0042866124,"teacher_disagreement_score":0.07271888,"about_ca_system_score_codex":0.00910037,"about_ca_system_score_gemma":0.008393005,"threshold_uncertainty_score":0.24927771},"labels":[],"label_agreement":null},{"id":"W2915096198","doi":"10.1007/s13740-019-00101-7","title":"CDI: Configurable Data Integration Using Property Precedence Relations","year":2019,"lang":"en","type":"article","venue":"Journal on Data Semantics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Data integration; Schema (genetic algorithms); Information integration; Property (philosophy); Semantic heterogeneity; Data mining; Information retrieval; Completeness (order theory); IDEF1X; Theoretical computer science; Ontology-based data integration; Semantic Web","score_opus":0.16921528178836104,"score_gpt":0.338389132526358,"score_spread":0.16917385073799696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915096198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027115537,0.0007325227,0.7857575,0.0005279266,0.0004278133,0.0005846544,0.0029090538,0.1720409,0.009904091],"genre_scores_gemma":[0.19370238,0.00044140723,0.776274,0.00067005743,0.000091978436,0.00038441413,0.009305023,0.010879748,0.008251046],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977551,0.0002688964,0.0002831485,0.00054525596,0.00096603547,0.00018152254],"domain_scores_gemma":[0.9950191,0.0014815632,0.00023140223,0.0024325273,0.0005329278,0.0003024831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040332037,0.0014046658,0.0013182058,0.003526906,0.001261846,0.004500738,0.003345555,0.001220908,0.012744743],"category_scores_gemma":[0.009651567,0.001375196,0.0015309382,0.0040290835,0.0011876164,0.005816829,0.0062442794,0.0023831201,0.0030293195],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020942357,0.0011843705,0.009688383,0.0011421333,0.00053193467,0.0011752943,0.0012197956,0.021564377,0.056308683,0.03374839,0.07180218,0.7995402],"study_design_scores_gemma":[0.00071982795,0.00040308703,0.003877687,0.0003526429,0.00051513425,0.0012725467,0.000687499,0.5884012,0.16174509,0.06665748,0.1749681,0.00039973322],"about_ca_topic_score_codex":0.0073218984,"about_ca_topic_score_gemma":0.0085331565,"teacher_disagreement_score":0.012744743,"about_ca_system_score_codex":0.0011861371,"about_ca_system_score_gemma":0.0017713248,"threshold_uncertainty_score":0.04263544},"labels":[],"label_agreement":null},{"id":"W2915492259","doi":"10.5334/kula.15","title":"Modelling Open Social Scholarship Within the INKE Community","year":2019,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Scholarship; Scholarly communication; Transparency (behavior); Digital scholarship; Knowledge management; Public relations; Sociology; Engaged scholarship; Open research; Open science; Computer science; World Wide Web; Political science; Publishing; Computer security","score_opus":0.1777588797160776,"score_gpt":0.41350877540346875,"score_spread":0.23574989568739116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915492259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18610714,0.0012033823,0.56299967,0.020067085,0.00026184646,0.00057736,0.00042525717,0.00054758094,0.22781077],"genre_scores_gemma":[0.87055576,0.0006324482,0.10876559,0.0003183519,0.0001312404,0.0004284381,0.00024005357,0.000159071,0.018769065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99080724,0.005929507,0.00038151775,0.0008560761,0.001214177,0.000811416],"domain_scores_gemma":[0.97424453,0.01654762,0.0015573517,0.0034180707,0.0019731834,0.002259252],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.012642597,0.00042964504,0.0006925205,0.0043105274,0.0057996446,0.015451318,0.0028147455,0.0047752224,0.010273833],"category_scores_gemma":[0.029829564,0.00049613474,0.0014843429,0.0045515075,0.010971084,0.022075864,0.013156495,0.002565402,0.0011086899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013207269,0.000046470566,0.0010799103,0.00003311128,0.000008428318,0.00019801885,0.004174372,0.0104933,0.00008271951,0.9791957,0.0005077241,0.004167133],"study_design_scores_gemma":[0.000031400457,0.000020760215,0.0003815618,0.00009179311,0.00001314673,0.00015320307,0.0055014607,0.09423591,0.00014958336,0.8701373,0.029257247,0.000026715687],"about_ca_topic_score_codex":0.011472419,"about_ca_topic_score_gemma":0.011376807,"teacher_disagreement_score":0.99718523,"about_ca_system_score_codex":0.00667224,"about_ca_system_score_gemma":0.00704285,"threshold_uncertainty_score":0.06686121},"labels":[],"label_agreement":null},{"id":"W2916050472","doi":"","title":"IADIS CELDA 2008 : Proceedings of the Cognition and Exploratory Learning in Digital Age 2008 international conference","year":2008,"lang":"en","type":"article","venue":"Cognition and Exploratory Learning in Digital Age","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Cognition; Exploratory research; Computer science; Cognitive science; Psychology; Sociology; Neuroscience; Social science","score_opus":0.04016233859522865,"score_gpt":0.23164062702846058,"score_spread":0.19147828843323195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916050472","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0869001,0.08503129,0.21954656,0.093486205,0.11201468,0.00070410524,0.0024673154,0.0044353227,0.39541447],"genre_scores_gemma":[0.2516317,0.022051498,0.08121841,0.0035134975,0.008653062,0.00053070264,0.0036475759,0.00091080845,0.62784266],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926096,0.0002558578,0.0000328608,0.00014519427,0.00020810102,0.00009694584],"domain_scores_gemma":[0.9979013,0.00043224203,0.000051865158,0.0002613605,0.00078063924,0.0005725545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002619012,0.00079714,0.0008996856,0.001276564,0.001540399,0.00583039,0.0012021089,0.0013021512,0.024432203],"category_scores_gemma":[0.002598528,0.00026930706,0.000509509,0.0009985584,0.0013498121,0.0031332658,0.0024155164,0.0022022873,0.005370749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066000386,0.00047900612,0.002999673,0.00044922077,0.000051533803,0.0004565374,0.0020293687,0.0012818215,0.0055132536,0.051143862,0.5972949,0.33764076],"study_design_scores_gemma":[0.000061358245,0.00011624199,0.004001182,0.00023516307,0.00006252846,0.0004719421,0.0017008858,0.0041122343,0.005348559,0.019111266,0.96473575,0.000042855267],"about_ca_topic_score_codex":0.0067066643,"about_ca_topic_score_gemma":0.012098038,"teacher_disagreement_score":0.024432203,"about_ca_system_score_codex":0.0030951516,"about_ca_system_score_gemma":0.0036935145,"threshold_uncertainty_score":0.08173388},"labels":[],"label_agreement":null},{"id":"W2918686096","doi":"","title":"Ontology driven temporal event annotator mHealth application framework.","year":2018,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ontology; Computer science; mHealth; Event (particle physics); Data science; Natural language processing; Medicine; Psychological intervention","score_opus":0.12355032737482773,"score_gpt":0.4574173292622706,"score_spread":0.33386700188744284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918686096","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070963255,0.0009785853,0.82404256,0.001509457,0.0005124871,0.0010887282,0.026793303,0.11667329,0.02130537],"genre_scores_gemma":[0.17559014,0.0020668425,0.6701867,0.0019119051,0.00032042578,0.0022930524,0.08783833,0.007765838,0.052026734],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989833,0.0002635142,0.00016785193,0.00019357336,0.00032013343,0.00007168932],"domain_scores_gemma":[0.9982108,0.0007581558,0.00012274194,0.00039570985,0.00034229737,0.00017027356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032151972,0.0006789895,0.000740398,0.0014572187,0.0007119702,0.0023164009,0.0019736276,0.0012808132,0.01130792],"category_scores_gemma":[0.005855132,0.00046517228,0.0009787495,0.0008274328,0.0005445098,0.002783281,0.0037647323,0.0015216122,0.0060710995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027591155,0.0006729788,0.007825873,0.00390571,0.0008128078,0.0037999796,0.003846049,0.02530485,0.045125682,0.13379103,0.36275044,0.40940553],"study_design_scores_gemma":[0.00019431501,0.00016817522,0.003841133,0.000609244,0.00030954942,0.0012579771,0.00085093133,0.17631336,0.030533504,0.07488777,0.7107867,0.00024726076],"about_ca_topic_score_codex":0.00681115,"about_ca_topic_score_gemma":0.012788056,"teacher_disagreement_score":0.01130792,"about_ca_system_score_codex":0.00086362095,"about_ca_system_score_gemma":0.0018329482,"threshold_uncertainty_score":0.037828803},"labels":[],"label_agreement":null},{"id":"W2920889567","doi":"","title":"Defining Conceptual Modeling Quality: Towards a Coherent Framework of Understanding","year":2008,"lang":"en","type":"article","venue":"Workshop on Information Technologies and Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality (philosophy); Knowledge management; Physics","score_opus":0.10117987152340481,"score_gpt":0.29518754607020303,"score_spread":0.19400767454679824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920889567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007859051,0.00088044896,0.97973377,0.007296593,0.000075054835,0.00017005329,0.00017854742,0.00027035887,0.003536099],"genre_scores_gemma":[0.19310538,0.0009704559,0.80212224,0.0008852459,0.00021730266,0.00040523772,0.0008714608,0.0002987359,0.0011238831],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.93477124,0.027787961,0.010676959,0.0054433686,0.019301634,0.002018837],"domain_scores_gemma":[0.89041936,0.04589222,0.010196082,0.025069304,0.02561144,0.00281166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06291191,0.0019784342,0.003024559,0.013179651,0.0042625493,0.026337702,0.008466921,0.006500182,0.0032826774],"category_scores_gemma":[0.12560116,0.0026138905,0.0038580308,0.007841382,0.018093629,0.042558875,0.012580382,0.009137619,0.0007076892],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024906773,0.00006279753,0.0014139954,0.0002720215,0.00008477139,0.00006426197,0.0020461336,0.0037195084,0.0005018926,0.9698784,0.0013990348,0.020532263],"study_design_scores_gemma":[0.000021034462,0.000024170076,0.0003619678,0.0003545604,0.00008747308,0.00009836092,0.0015823228,0.02294841,0.0010935006,0.9635522,0.009841173,0.000034979807],"about_ca_topic_score_codex":0.010176634,"about_ca_topic_score_gemma":0.006676441,"teacher_disagreement_score":0.06291191,"about_ca_system_score_codex":0.007450389,"about_ca_system_score_gemma":0.0104738,"threshold_uncertainty_score":0.33271396},"labels":[],"label_agreement":null},{"id":"W2921916127","doi":"10.22329/il.v39i1.5080","title":"A Dialectical View on Conduction: Reasons, Warrants, and Normal Suasory Inclinations","year":2019,"lang":"en","type":"article","venue":"Informal Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Sun Yat-sen University","keywords":"Dialectic; Argumentation theory; Argument (complex analysis); Epistemology; Defeasible reasoning; Extant taxon; Scholarship; Preference; Product (mathematics); Value (mathematics); Sociology; Philosophy; Computer science; Political science; Law; Mathematics","score_opus":0.025915304095070354,"score_gpt":0.26431839522206113,"score_spread":0.23840309112699076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921916127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05806395,0.004879889,0.68960994,0.027769247,0.00040643296,0.00010260605,0.00015941511,0.00034801138,0.2186605],"genre_scores_gemma":[0.9048452,0.0017183326,0.083136775,0.0012177931,0.0002945615,0.00016750477,0.00010122868,0.00019078304,0.008327842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99451977,0.0030837278,0.00037948808,0.000623877,0.0010461797,0.00034702776],"domain_scores_gemma":[0.9910547,0.005552758,0.0006614117,0.0012376762,0.0009759805,0.0005175144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008640276,0.0006485679,0.0007015313,0.0036671846,0.0034434162,0.00942433,0.0014939607,0.0041024415,0.0046021305],"category_scores_gemma":[0.012076445,0.0005841044,0.001032468,0.0028417015,0.02942548,0.028021166,0.0054109967,0.005293818,0.00075290713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046222835,0.0000024854533,0.000039633676,0.000007976626,9.5221975e-7,0.000014178666,0.00079679355,0.000061079554,0.00004408463,0.99801505,0.00014325052,0.00086992595],"study_design_scores_gemma":[0.0000053833996,0.0000040959353,0.000039182083,0.000022192753,0.0000026905666,0.00003223719,0.0003628896,0.0003996959,0.00009712329,0.9939997,0.0050303745,0.0000043031805],"about_ca_topic_score_codex":0.00115046,"about_ca_topic_score_gemma":0.0008923418,"teacher_disagreement_score":0.00942433,"about_ca_system_score_codex":0.0038253851,"about_ca_system_score_gemma":0.0020074444,"threshold_uncertainty_score":0.04569471},"labels":[],"label_agreement":null},{"id":"W2922204753","doi":"10.1016/b978-0-12-817443-2.00006-9","title":"Causation, Process Metaphor, and Reductionism","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Causation; Reductionism; Syllogism; Epistemology; SOCRATES; Philosophy; State (computer science); Metaphor; Philosophy of science; Order (exchange); Computer science; Mathematics; Linguistics; Algorithm; Economics","score_opus":0.017659831317882825,"score_gpt":0.24473873192090465,"score_spread":0.22707890060302183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922204753","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027427014,0.05778003,0.06376688,0.01176668,0.0017389649,0.00002656196,0.0002081101,0.00023391083,0.8617362],"genre_scores_gemma":[0.31608567,0.08894609,0.06881273,0.0043827733,0.005693804,0.0003338317,0.0009591966,0.00064321177,0.51414275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995378,0.0001750832,0.000027899732,0.00008689535,0.00014567214,0.000026589378],"domain_scores_gemma":[0.9995402,0.00034094974,0.000022623053,0.000042486565,0.000038273134,0.000015540812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065539306,0.00090032653,0.00063849735,0.002188822,0.0012533929,0.0046274047,0.0008511961,0.0018887124,0.023185987],"category_scores_gemma":[0.0013171579,0.0004123154,0.00057100866,0.0030082918,0.006774408,0.0070651835,0.0013566763,0.0028194527,0.0033520337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019071795,0.0000045587276,0.000016711492,0.000048818092,0.0000021001597,0.00002106905,0.00014986309,0.00010383208,0.00004890159,0.9841122,0.006839908,0.008650029],"study_design_scores_gemma":[0.000002127443,0.0000021309518,0.000046528978,0.000052423362,0.000002272678,0.00006577363,0.00011186882,0.0002911955,0.000044414606,0.91834944,0.08102871,0.000003077697],"about_ca_topic_score_codex":0.0019765752,"about_ca_topic_score_gemma":0.0024426384,"teacher_disagreement_score":0.023185987,"about_ca_system_score_codex":0.0021748648,"about_ca_system_score_gemma":0.0009712161,"threshold_uncertainty_score":0.077564895},"labels":[],"label_agreement":null},{"id":"W2936740280","doi":"10.1002/cpe.5205","title":"Model checking ontology‐driven reasoning agents using strategy and abstraction","year":2019,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Abstraction; Model checking; Linear temporal logic; Ontology; Programming language; Temporal logic; Encoding (memory); Exploit; Theoretical computer science; Artificial intelligence","score_opus":0.07800741567634234,"score_gpt":0.36752603295872555,"score_spread":0.2895186172823832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936740280","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045729276,0.000053028012,0.9509274,0.00016713598,0.000018853701,0.00013819848,0.00006831593,0.0013197602,0.001577878],"genre_scores_gemma":[0.6000159,0.00010598592,0.39774868,0.000114754934,0.000014592081,0.00026565744,0.00025735074,0.00020631563,0.0012707459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99518025,0.0018020289,0.00044118354,0.0004838831,0.001604635,0.00048804717],"domain_scores_gemma":[0.9932621,0.004137208,0.00066646584,0.0011338027,0.00067530596,0.00012507927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050676647,0.0007158792,0.0010297309,0.0012431892,0.000727465,0.0027465615,0.0019400599,0.0010729572,0.0010956405],"category_scores_gemma":[0.01190131,0.00088981626,0.0028595466,0.00058969087,0.0029249291,0.0023700723,0.0024547603,0.001766803,0.00021928456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017122368,0.00012830667,0.00229681,0.00017916659,0.00016972101,0.0005219824,0.0007630118,0.69146925,0.013673954,0.2613712,0.000589281,0.028666124],"study_design_scores_gemma":[0.000046702582,0.000042770018,0.00012696034,0.000028445038,0.00004075411,0.00004105847,0.00005348404,0.94188374,0.0070687067,0.049277138,0.0013687327,0.000021432734],"about_ca_topic_score_codex":0.016745826,"about_ca_topic_score_gemma":0.013529883,"teacher_disagreement_score":0.016745826,"about_ca_system_score_codex":0.0023968164,"about_ca_system_score_gemma":0.003667388,"threshold_uncertainty_score":0.033296704},"labels":[],"label_agreement":null},{"id":"W2937178421","doi":"","title":"Collaboratively working towards ontology-based standards for robotics and automation","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Automation; Robotics; Ontology; Computer science; Artificial intelligence; Software engineering; Robot; Engineering; Mechanical engineering","score_opus":0.03716289882731344,"score_gpt":0.31110959143364675,"score_spread":0.2739466926063333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937178421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008317537,0.0010109084,0.9599359,0.012199041,0.0007539024,0.00035193513,0.000090572175,0.0010111234,0.016329197],"genre_scores_gemma":[0.11325885,0.0015520876,0.86583906,0.0027652506,0.0004724366,0.00053835806,0.0015853291,0.0008638013,0.013124891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9670845,0.015023947,0.0027947256,0.00361423,0.009513397,0.0019691798],"domain_scores_gemma":[0.91946,0.020809943,0.002658127,0.030919585,0.020545881,0.005606474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.058904164,0.0015417675,0.001921675,0.0039228755,0.005113118,0.019192673,0.008316392,0.008663581,0.007835289],"category_scores_gemma":[0.064782016,0.001485191,0.0029033513,0.0034259716,0.0067439866,0.040068768,0.024309957,0.015620557,0.0032917557],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012912038,0.0006276908,0.0019091483,0.0004814904,0.00026447204,0.0004981617,0.011007675,0.01262136,0.0087821325,0.74345374,0.026484467,0.19374059],"study_design_scores_gemma":[0.000046146717,0.00014422864,0.0005907005,0.0005942897,0.000103768645,0.0003119818,0.0049797078,0.038915325,0.008353104,0.7536541,0.19214517,0.00016149331],"about_ca_topic_score_codex":0.0060843895,"about_ca_topic_score_gemma":0.0051837517,"teacher_disagreement_score":0.058904164,"about_ca_system_score_codex":0.0038907365,"about_ca_system_score_gemma":0.0150518445,"threshold_uncertainty_score":0.31151867},"labels":[],"label_agreement":null},{"id":"W2939841822","doi":"10.29173/cais971","title":"Machine Knowledge: Information Studies and Artificial Intelligence in Dialogue","year":2018,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Humanities; Artificial intelligence; Parallels; Computer science; Philosophy; Engineering","score_opus":0.06162438958493415,"score_gpt":0.3034726213639237,"score_spread":0.24184823177898956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939841822","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033672255,0.07013368,0.155976,0.17951444,0.002724362,0.00016541239,0.00027358183,0.00028270076,0.5572576],"genre_scores_gemma":[0.9169442,0.017620867,0.031676263,0.0076124156,0.0022625572,0.0004511523,0.00018437847,0.00025176423,0.022996364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98538315,0.011800404,0.00042834974,0.0007554743,0.0011650006,0.00046752332],"domain_scores_gemma":[0.97879076,0.01781364,0.0007764703,0.0015181797,0.0006302271,0.00047064773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0128322095,0.00065486855,0.00090393896,0.004803268,0.00578372,0.017397253,0.0016192858,0.005594871,0.00782813],"category_scores_gemma":[0.017491471,0.00038872942,0.000617446,0.0053269328,0.0427036,0.025772385,0.0075434344,0.0051599853,0.00079204113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014024991,0.0000062860836,0.0001309562,0.00008996172,0.0000053590343,0.00007982824,0.019494614,0.00012467979,0.00008415028,0.9729911,0.0015904916,0.0053886105],"study_design_scores_gemma":[0.000014133651,0.00002090891,0.00038525672,0.00037728722,0.0000104607525,0.00019111208,0.018098392,0.0007287898,0.00021722128,0.80255324,0.17738143,0.000021701557],"about_ca_topic_score_codex":0.0032883533,"about_ca_topic_score_gemma":0.0020654525,"teacher_disagreement_score":0.017397253,"about_ca_system_score_codex":0.006004586,"about_ca_system_score_gemma":0.0033833152,"threshold_uncertainty_score":0.067864},"labels":[],"label_agreement":null},{"id":"W2941079389","doi":"10.3233/978-1-61499-951-5-520","title":"An Ontology Approach for Knowledge Representation of ECG Data","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Computer science; Knowledge representation and reasoning; Representation (politics); Ontology-based data integration; Knowledge extraction; Upper ontology; Data mining; Process ontology; Information retrieval; Data science; Artificial intelligence; Domain knowledge","score_opus":0.16139035579636044,"score_gpt":0.4346677414582148,"score_spread":0.27327738566185433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941079389","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035873402,0.0012463225,0.98323935,0.0022412934,0.0001545363,0.00034581448,0.001199535,0.00047905842,0.0075067696],"genre_scores_gemma":[0.06629229,0.0026169561,0.9234169,0.00057940756,0.00012606538,0.0007328206,0.002928646,0.00009110011,0.0032157246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961737,0.001143627,0.00080907886,0.0005606106,0.0011050464,0.00020804314],"domain_scores_gemma":[0.99741733,0.0010546964,0.00028605587,0.00045653284,0.0006235475,0.00016179522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004081395,0.0006905273,0.0009799616,0.0062530525,0.0021440939,0.0052359225,0.0021803428,0.0016725694,0.0017222598],"category_scores_gemma":[0.00600688,0.0005553722,0.003160644,0.0071137226,0.0018796874,0.007789355,0.0038719927,0.0028532234,0.00061342807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008594736,0.00020161922,0.0014207826,0.00097627635,0.00030470284,0.001370485,0.0041234316,0.012785563,0.0061277044,0.7737702,0.010931422,0.18790169],"study_design_scores_gemma":[0.000057812897,0.00008938607,0.0020005153,0.0010567199,0.00038712655,0.0017583913,0.002575975,0.12512243,0.004782929,0.61915046,0.24283578,0.00018254017],"about_ca_topic_score_codex":0.019624863,"about_ca_topic_score_gemma":0.017283032,"teacher_disagreement_score":0.019624863,"about_ca_system_score_codex":0.002456587,"about_ca_system_score_gemma":0.004854855,"threshold_uncertainty_score":0.039021254},"labels":[],"label_agreement":null},{"id":"W2943292270","doi":"10.1016/j.njas.2019.04.006","title":"Searching for meaning: Co-constructing ontologies with stakeholders for smarter search engines in agriculture","year":2019,"lang":"en","type":"article","venue":"NJAS - Wageningen Journal of Life Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ontology; Computer science; Vocabulary; Context (archaeology); Knowledge management; Stakeholder; Process (computing); Construct (python library); Meaning (existential); Data science; Domain (mathematical analysis); World Wide Web; Political science; Public relations; Psychology","score_opus":0.09801194784478263,"score_gpt":0.31162546695559695,"score_spread":0.21361351911081433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943292270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20390753,0.0005922229,0.7172343,0.014327192,0.000094012896,0.0012939613,0.00028613623,0.0006276519,0.061636914],"genre_scores_gemma":[0.5340654,0.0003722071,0.45916113,0.0006314966,0.00001766378,0.0005686573,0.00042435227,0.0002272265,0.004531914],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96723247,0.025474314,0.0014845788,0.0015657616,0.0030225334,0.0012203204],"domain_scores_gemma":[0.97089034,0.022270128,0.0015874594,0.0024057014,0.002124703,0.00072159374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031135341,0.0006927447,0.00069023884,0.006354182,0.0065111904,0.01108896,0.0023485133,0.0034557264,0.0030495075],"category_scores_gemma":[0.039362133,0.00092851627,0.0015323799,0.0044455384,0.010277843,0.029326132,0.014391118,0.0028762687,0.00077603926],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010043839,0.00029089142,0.008558775,0.00063941785,0.000065424225,0.0016134423,0.527421,0.0027659268,0.0100292135,0.31609282,0.0036439744,0.12877873],"study_design_scores_gemma":[0.000049934904,0.000121176054,0.0041558016,0.00092190795,0.00013655487,0.0011834628,0.42874104,0.020944478,0.011692208,0.3330648,0.19883305,0.00015562771],"about_ca_topic_score_codex":0.006459483,"about_ca_topic_score_gemma":0.009896806,"teacher_disagreement_score":0.031135341,"about_ca_system_score_codex":0.0052776956,"about_ca_system_score_gemma":0.009518668,"threshold_uncertainty_score":0.16466135},"labels":[],"label_agreement":null},{"id":"W2945313780","doi":"10.22148/16.037","title":"De-Agentializing Data Practices: The Shifting Power of Metaphor in 1990s Discourses on Data Mining","year":2019,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metaphor; Big data; Resource (disambiguation); Drill; Data science; Power (physics); Crude oil; Business; Computer science; Engineering; Petroleum engineering; Data mining","score_opus":0.17349251402455415,"score_gpt":0.3861726535368184,"score_spread":0.21268013951226425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945313780","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056762144,0.027466584,0.25070006,0.5056964,0.0021280043,0.00011407775,0.00033151248,0.00025464446,0.15654667],"genre_scores_gemma":[0.8829882,0.012283107,0.07502581,0.019749317,0.0017082401,0.0003828914,0.0002412435,0.0004209151,0.0072002057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.95935285,0.029366706,0.0020019528,0.0027928394,0.0056155063,0.00087019755],"domain_scores_gemma":[0.9209177,0.06524029,0.0028709786,0.0054800618,0.0042632753,0.0012277138],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.056488384,0.0011201751,0.0012497517,0.010160225,0.0084052915,0.019880584,0.0028374742,0.009002221,0.0017387037],"category_scores_gemma":[0.04936542,0.0010766663,0.0010345865,0.008838532,0.10772113,0.048950497,0.011145801,0.016931096,0.0003984656],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010241576,0.000006936905,0.00014278803,0.00005379201,0.000007666388,0.00003721568,0.034126196,0.00012279424,0.000079420475,0.96148854,0.0013813884,0.0025428336],"study_design_scores_gemma":[0.000024672441,0.000016293994,0.00026573558,0.00039671775,0.000012438554,0.0001661645,0.029385239,0.0014203257,0.00025785342,0.8075554,0.16046207,0.000037174595],"about_ca_topic_score_codex":0.009423493,"about_ca_topic_score_gemma":0.007299526,"teacher_disagreement_score":0.99159473,"about_ca_system_score_codex":0.015322002,"about_ca_system_score_gemma":0.0071547735,"threshold_uncertainty_score":0.29874265},"labels":[],"label_agreement":null},{"id":"W2946360417","doi":"10.1145/3248707","title":"Session details: Collections, Systems and Management","year":2017,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Session (web analytics); Computer science; World Wide Web","score_opus":0.03136512755612852,"score_gpt":0.2761335999105779,"score_spread":0.24476847235444937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946360417","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017597148,0.003628346,0.008307245,0.016035816,0.03346739,0.0011905043,0.032691892,0.0061715245,0.8967475],"genre_scores_gemma":[0.008592294,0.00298898,0.0019386848,0.001426493,0.0042415215,0.00033635792,0.011685957,0.0014936357,0.9672962],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999025,0.00022975609,0.000058833066,0.00023498644,0.00028765618,0.00016382059],"domain_scores_gemma":[0.99574643,0.0010079705,0.000106437066,0.00088263967,0.0006980896,0.0015584509],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002279544,0.0014138961,0.0024048518,0.0009739417,0.0034684385,0.008200415,0.0015844762,0.0035305107,0.8906724],"category_scores_gemma":[0.0044382676,0.00043279462,0.0016144987,0.0028092128,0.0007891192,0.004973887,0.0038113985,0.0025591296,0.7439586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012894301,0.000069536385,0.00007786407,0.00015944112,0.000008708365,0.000026681671,0.000044882796,0.00003852272,0.00046144528,0.0019775967,0.9694686,0.027537799],"study_design_scores_gemma":[0.00004042782,0.00004678818,0.00033655443,0.00006814551,0.000009656392,0.000036743208,0.00008589953,0.00014415651,0.0002781394,0.0014071846,0.9975362,0.000010228386],"about_ca_topic_score_codex":0.0029261115,"about_ca_topic_score_gemma":0.006535998,"teacher_disagreement_score":0.109327614,"about_ca_system_score_codex":0.0014330414,"about_ca_system_score_gemma":0.002590441,"threshold_uncertainty_score":0.15594256},"labels":[],"label_agreement":null},{"id":"W2947315297","doi":"10.1109/icca-ticet.2018.8726189","title":"Ontology-Driven Development Framework for Customer Experience Management Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Ontology; Process (computing); Process management; Software engineering; Set (abstract data type); New product development; Purchasing; Customer relationship management; Knowledge management; Database; Engineering","score_opus":0.03527497909177478,"score_gpt":0.32049318614548666,"score_spread":0.28521820705371187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947315297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090691226,0.000129769,0.9913679,0.00022371644,0.000030297757,0.00034757925,0.00023271018,0.0027762433,0.0039848974],"genre_scores_gemma":[0.019584188,0.000492846,0.9731267,0.00019325524,0.000020952695,0.00087663607,0.0016200047,0.00085699273,0.0032283983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99685705,0.00093549764,0.0005298457,0.0003829774,0.001063748,0.00023092584],"domain_scores_gemma":[0.99814606,0.0006056879,0.00013642489,0.00048672868,0.000442411,0.00018262635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054025142,0.0011062482,0.0008436695,0.0021368158,0.001281928,0.004308592,0.004469163,0.0019052995,0.0043126643],"category_scores_gemma":[0.005988936,0.0013894446,0.002679427,0.0020879393,0.0012973686,0.003935155,0.0044006393,0.0034337495,0.0024418798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011217965,0.00035579057,0.0010636958,0.00089402846,0.00018089268,0.0014442585,0.0019243901,0.07322377,0.010518333,0.68746406,0.022581328,0.20023736],"study_design_scores_gemma":[0.00007889643,0.00007171642,0.0004313074,0.00044609208,0.0001036717,0.0008692283,0.000411599,0.30064523,0.0086254515,0.22698289,0.46121293,0.000120950244],"about_ca_topic_score_codex":0.007095545,"about_ca_topic_score_gemma":0.009258906,"teacher_disagreement_score":0.007095545,"about_ca_system_score_codex":0.0020183972,"about_ca_system_score_gemma":0.00416853,"threshold_uncertainty_score":0.028571606},"labels":[],"label_agreement":null},{"id":"W2947580237","doi":"10.23638/lmcs-15(2:10)2019","title":"A Denotational Semantics for SPARC TSO","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Denotational semantics; Denotational semantics of the Actor model; Normalisation by evaluation; Computer science; Programming language; Semantics (computer science); Operational semantics; Action semantics","score_opus":0.2815982574623103,"score_gpt":0.556919446373768,"score_spread":0.2753211889114577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947580237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018327523,0.00015708378,0.9608809,0.0007607563,0.00012944844,0.00011619563,0.00024104574,0.0011162597,0.018270874],"genre_scores_gemma":[0.47556135,0.00036816232,0.507421,0.0007368529,0.0001732484,0.0006027758,0.00062699395,0.0005612547,0.013948253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987476,0.00023459746,0.00016485793,0.00022615561,0.00043596292,0.00019072293],"domain_scores_gemma":[0.99884427,0.00036774046,0.00009836689,0.0002551192,0.0003376195,0.00009691363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012427245,0.0006746469,0.0005999217,0.0011177644,0.0013489068,0.0027208093,0.0014562391,0.0009814898,0.005146965],"category_scores_gemma":[0.0020202845,0.00056813227,0.0013994164,0.00096166355,0.004647048,0.005734217,0.0029431975,0.0019392071,0.00091835414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016333322,0.000016388838,0.00014044672,0.000053070573,0.0000076802835,0.000091734815,0.00038751686,0.004036754,0.0016864282,0.9870794,0.00055723696,0.005926936],"study_design_scores_gemma":[0.000029041907,0.00005348067,0.0001512367,0.000040926836,0.000038774957,0.00017354246,0.00030376905,0.060683634,0.005795321,0.89971125,0.03298758,0.000031440595],"about_ca_topic_score_codex":0.0030781764,"about_ca_topic_score_gemma":0.0028567556,"teacher_disagreement_score":0.005146965,"about_ca_system_score_codex":0.001547884,"about_ca_system_score_gemma":0.0018562168,"threshold_uncertainty_score":0.017218292},"labels":[],"label_agreement":null},{"id":"W2950126731","doi":"10.48550/arxiv.cs/0401015","title":"Query Answering in Peer-to-Peer Data Exchange Systems","year":2004,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Peer-to-peer; Data exchange; Semantics (computer science); Information exchange; Information retrieval; World Wide Web; Programming language","score_opus":0.15301096097431577,"score_gpt":0.32780939759002997,"score_spread":0.1747984366157142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950126731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023729948,0.0066171293,0.9622764,0.0024508564,0.00016312969,0.00025871725,0.00014844305,0.0005972291,0.003758191],"genre_scores_gemma":[0.5640475,0.0081336,0.4197025,0.00054896955,0.0007812017,0.00053774787,0.0008497131,0.00020280905,0.005196045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98461455,0.007379913,0.0013146407,0.0021236246,0.003827394,0.0007399553],"domain_scores_gemma":[0.98485756,0.012624949,0.0005726394,0.0007849272,0.00088697247,0.00027293275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009814218,0.00089684705,0.0025556376,0.0018982701,0.0034131375,0.005839133,0.0034809157,0.0055001033,0.0017029535],"category_scores_gemma":[0.030079184,0.0010727369,0.0011654572,0.0058419374,0.004328963,0.010500901,0.004253864,0.0027539912,0.0005797352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005283317,0.0002704253,0.0021522369,0.0018201083,0.00027141656,0.0015553617,0.004688272,0.2482069,0.005504374,0.54897773,0.011395054,0.1746298],"study_design_scores_gemma":[0.00008653848,0.00008530578,0.0003296785,0.00006643823,0.00008427439,0.0004455501,0.00085410505,0.40649557,0.0022476367,0.5735873,0.015662499,0.000055133045],"about_ca_topic_score_codex":0.0043679653,"about_ca_topic_score_gemma":0.0021272788,"teacher_disagreement_score":0.009814218,"about_ca_system_score_codex":0.0018792142,"about_ca_system_score_gemma":0.0016594187,"threshold_uncertainty_score":0.05190319},"labels":[],"label_agreement":null},{"id":"W2951476444","doi":"","title":"Semantic Labelled Tableaux for propositional BI (without bottom)","year":2003,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Soundness; Decidability; Computer science; Intuitionistic logic; Semantics (computer science); Theoretical computer science; Linear logic; Completeness (order theory); Intermediate logic; Calculus (dental); Description logic; Mathematics; Discrete mathematics; Programming language","score_opus":0.014948177974098944,"score_gpt":0.23434125568680317,"score_spread":0.21939307771270422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951476444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051639485,0.0010784483,0.95384914,0.0014131843,0.00057013636,0.0002480673,0.003865884,0.003340353,0.03047094],"genre_scores_gemma":[0.11052527,0.00094265706,0.8584891,0.00093741127,0.00032963237,0.0005490026,0.007673881,0.0010717442,0.019481312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969126,0.0010007708,0.00030376477,0.0004847148,0.0009774929,0.00032069697],"domain_scores_gemma":[0.9955819,0.002426473,0.00017476053,0.00079365616,0.0008270789,0.0001960571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025128173,0.0011176276,0.0010883933,0.0025164902,0.0025150843,0.008167115,0.002460611,0.0022926182,0.01935842],"category_scores_gemma":[0.007602987,0.0013177383,0.0026927756,0.0037431049,0.0025377136,0.009080638,0.0031131965,0.00478745,0.005888542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001182409,0.00006335762,0.00019579667,0.00028255474,0.00003873531,0.00015242191,0.00027987236,0.0062982216,0.0017042945,0.9188025,0.01641272,0.055651344],"study_design_scores_gemma":[0.000043981498,0.0000237147,0.00013903386,0.00012700776,0.00004458685,0.00010903489,0.000099661396,0.039156754,0.0026321076,0.9120492,0.045524597,0.000050299197],"about_ca_topic_score_codex":0.014397944,"about_ca_topic_score_gemma":0.016649224,"teacher_disagreement_score":0.01935842,"about_ca_system_score_codex":0.0044834698,"about_ca_system_score_gemma":0.0026152881,"threshold_uncertainty_score":0.06476039},"labels":[],"label_agreement":null},{"id":"W2952235855","doi":"","title":"Multilingual SPARQL Query Generation Using Lexico-Syntactic Patterns","year":2019,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Political science; Ethnology; Philosophy; Sociology","score_opus":0.028559420015677878,"score_gpt":0.26313032938793146,"score_spread":0.23457090937225358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952235855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055352483,0.00038158117,0.8635583,0.00088102417,0.0002448509,0.0005717555,0.006925788,0.058593467,0.013490775],"genre_scores_gemma":[0.2943149,0.0004737978,0.6543036,0.0005357751,0.00008703906,0.00043774818,0.028809382,0.0070052333,0.014032554],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981828,0.0004211541,0.00023233265,0.0004159201,0.0006147757,0.00013311785],"domain_scores_gemma":[0.9977088,0.0009177335,0.000093325565,0.0005133504,0.00068471493,0.000082028266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016879018,0.0008202958,0.000682129,0.0015321655,0.00065932894,0.0020667464,0.0013311635,0.0007846521,0.010725602],"category_scores_gemma":[0.0044936095,0.0006306045,0.0011788483,0.0015323602,0.0005306539,0.0024552564,0.0025403486,0.0009735006,0.0051018195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018464435,0.00074309984,0.009420841,0.0022631267,0.0003009573,0.0034495073,0.004106755,0.026921777,0.13372251,0.06991767,0.1008613,0.646446],"study_design_scores_gemma":[0.00055092986,0.0004072694,0.0041561173,0.00020463407,0.00022924575,0.0023020182,0.003253834,0.48446777,0.20578985,0.06988223,0.2285016,0.00025449033],"about_ca_topic_score_codex":0.004429423,"about_ca_topic_score_gemma":0.004646208,"teacher_disagreement_score":0.010725602,"about_ca_system_score_codex":0.00065221364,"about_ca_system_score_gemma":0.0013919246,"threshold_uncertainty_score":0.035880685},"labels":[],"label_agreement":null},{"id":"W2952247164","doi":"10.48550/arxiv.1204.5093","title":"The Distributed Ontology Language (DOL): Ontology Integration and Interoperability Applied to Mathematical Formalization","year":2012,"lang":"en","type":"preprint","venue":"University of Birmingham Research Archive, E-prints Repository","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Ontology; Interoperability; Computer science; Ontology components; Upper ontology; Ontology-based data integration; Modular design; Process ontology; Annotation; Description logic; Information retrieval; Software engineering; Ontology alignment; World Wide Web; Programming language; Semantic Web; Artificial intelligence; Epistemology","score_opus":0.0313042235638664,"score_gpt":0.29185385640488803,"score_spread":0.2605496328410216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952247164","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015124315,0.0009918901,0.98513806,0.00189399,0.0002569617,0.00015367172,0.00030063422,0.0013629635,0.008389458],"genre_scores_gemma":[0.074137054,0.0027019684,0.9122407,0.0012469213,0.00043089074,0.00087976264,0.0016245232,0.0010445557,0.005693603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.990648,0.003604773,0.001661126,0.0012541241,0.0023985044,0.00043356334],"domain_scores_gemma":[0.99406517,0.0024040893,0.0004552344,0.0017348783,0.0009786539,0.00036187653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011475379,0.001271969,0.0016644899,0.0052662552,0.0023594596,0.010573157,0.0034121857,0.0027616473,0.003958807],"category_scores_gemma":[0.014403379,0.0011871357,0.002381092,0.0065242546,0.008895769,0.019560415,0.011492797,0.006483556,0.0018610256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012494834,0.000015598493,0.00010428884,0.00012208098,0.000016294534,0.00007843718,0.00043930698,0.0012743395,0.0004751135,0.9710821,0.0034663763,0.022913486],"study_design_scores_gemma":[0.00004000337,0.000019933997,0.00012012754,0.00022713521,0.000030436788,0.00030079452,0.00022326775,0.020680439,0.001503366,0.82679474,0.15001234,0.000047380032],"about_ca_topic_score_codex":0.0044453335,"about_ca_topic_score_gemma":0.0029252851,"teacher_disagreement_score":0.011475379,"about_ca_system_score_codex":0.003989058,"about_ca_system_score_gemma":0.006762586,"threshold_uncertainty_score":0.060688376},"labels":[],"label_agreement":null},{"id":"W2954627564","doi":"10.1109/icse-companion.2019.00057","title":"Visually Identifying Potential Sensitive Information Leaks in Access-Controlled Data Services","year":2019,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Access control; Data access; Ontology; Set (abstract data type); Information sensitivity; Data mining; Information retrieval; Database; Computer security; Programming language","score_opus":0.02706334371397852,"score_gpt":0.3104036585930138,"score_spread":0.28334031487903527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954627564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08613807,0.00018536621,0.9022664,0.0010003758,0.000056456774,0.0001254911,0.00023785654,0.006267456,0.003722574],"genre_scores_gemma":[0.5602465,0.00019694005,0.43669528,0.00019736271,0.000018843071,0.00008381262,0.00023524232,0.0005900121,0.0017359747],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851793,0.0005170743,0.000080621416,0.0001306181,0.00062647194,0.0001272852],"domain_scores_gemma":[0.992993,0.0039117397,0.0007888262,0.0010341855,0.0009810025,0.000291259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032565224,0.0006901645,0.0004398746,0.002892814,0.0006569239,0.0026794523,0.0009118319,0.0010152203,0.0025912258],"category_scores_gemma":[0.011582777,0.00044190412,0.00059086183,0.00092753867,0.0016435214,0.0035471185,0.0028887459,0.0015666098,0.00045679786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019094964,0.00044702034,0.02932156,0.0014207781,0.00017598226,0.0053408197,0.035727553,0.07130149,0.17063253,0.27081403,0.018620389,0.39428824],"study_design_scores_gemma":[0.000093902905,0.0002660114,0.009320557,0.0004973932,0.000121282275,0.0027470705,0.006332864,0.6419472,0.11067311,0.17257555,0.055220157,0.00020492998],"about_ca_topic_score_codex":0.0032301361,"about_ca_topic_score_gemma":0.0025538635,"teacher_disagreement_score":0.0032565224,"about_ca_system_score_codex":0.0010271516,"about_ca_system_score_gemma":0.0014890132,"threshold_uncertainty_score":0.017222404},"labels":[],"label_agreement":null},{"id":"W2954966159","doi":"10.1142/s0219649219500254","title":"A Framework for Knowledge Models Transformation: A Step Towards Knowledge Integration and Warehousing","year":2019,"lang":"en","type":"article","venue":"Journal of Information & Knowledge Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge integration; Rotation formalisms in three dimensions; Knowledge extraction; Knowledge acquisition; Process (computing); Architecture; Knowledge management; Artificial intelligence; Knowledge engineering; Programming language","score_opus":0.03378733337336563,"score_gpt":0.2909431581052721,"score_spread":0.25715582473190646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954966159","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005372215,0.00014213247,0.9961094,0.0005142717,0.000029641818,0.00011973517,0.000087057444,0.0010267871,0.001433816],"genre_scores_gemma":[0.014647947,0.0002782262,0.9825937,0.00020913631,0.00003043497,0.0002380564,0.00049582554,0.00020718925,0.0012994687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99430084,0.001991378,0.0007155258,0.0009684934,0.0016297551,0.0003939211],"domain_scores_gemma":[0.995939,0.0012275629,0.00026954818,0.0013814924,0.0008374094,0.0003451074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00947145,0.0015204751,0.0013206928,0.0044161826,0.002060249,0.009067814,0.004166792,0.0028882006,0.0038956145],"category_scores_gemma":[0.0070115263,0.0019436668,0.0050769243,0.0036782657,0.004181124,0.011206396,0.0071981726,0.006942056,0.0030250077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006194174,0.00019586545,0.00060703227,0.000582276,0.0002445602,0.0005476783,0.0026823308,0.01783758,0.005403301,0.8324926,0.008715041,0.1306298],"study_design_scores_gemma":[0.0000556847,0.00011806431,0.00051678845,0.00072220695,0.00018589752,0.00069736707,0.0009874124,0.1201699,0.00830807,0.6124162,0.25567496,0.00014745673],"about_ca_topic_score_codex":0.013623719,"about_ca_topic_score_gemma":0.009945748,"teacher_disagreement_score":0.013623719,"about_ca_system_score_codex":0.003040449,"about_ca_system_score_gemma":0.007242357,"threshold_uncertainty_score":0.050090373},"labels":[],"label_agreement":null},{"id":"W2955529465","doi":"10.4018/ijeach.2019070104","title":"A Rule-Based Model for Compliance of Medical Devices Applied to the European Market","year":2019,"lang":"en","type":"article","venue":"International Journal of Extreme Automation and Connectivity in Healthcare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Conformity; Quality (philosophy); Process (computing); Class (philosophy); Conformity assessment; Java; Object (grammar); Copycat; Software engineering; Programming language; Risk analysis (engineering); Artificial intelligence; Business; Operating system","score_opus":0.07776237267369585,"score_gpt":0.3377213567763049,"score_spread":0.25995898410260904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955529465","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014465921,0.00018510867,0.96239054,0.0009932667,0.000111642854,0.0004482831,0.0017710938,0.002102021,0.01753199],"genre_scores_gemma":[0.22762375,0.00042792,0.7563257,0.00043492578,0.00007557264,0.0007215804,0.003634019,0.00031907973,0.010437477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961558,0.0010224846,0.0006651578,0.00090704765,0.0009769511,0.00027261276],"domain_scores_gemma":[0.99577206,0.0022560884,0.00031815903,0.0006716946,0.0008382869,0.00014372397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036378978,0.00080189103,0.0006230411,0.0023536235,0.00090065825,0.005677238,0.0027944883,0.0027398525,0.0069606504],"category_scores_gemma":[0.008053081,0.00068495714,0.0025398594,0.0013546416,0.0018984617,0.0040688426,0.0016784717,0.001872896,0.0021278325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020876137,0.0002840609,0.001930264,0.00025266924,0.0001246929,0.001803129,0.0011045046,0.40565187,0.0047620656,0.53068584,0.004445978,0.048746336],"study_design_scores_gemma":[0.00009762798,0.0000759334,0.00046233,0.00015604567,0.00011988925,0.00031796936,0.00018398374,0.8118902,0.0035012658,0.14120673,0.04192974,0.00005834967],"about_ca_topic_score_codex":0.025900435,"about_ca_topic_score_gemma":0.021845816,"teacher_disagreement_score":0.025900435,"about_ca_system_score_codex":0.0022552856,"about_ca_system_score_gemma":0.0032928733,"threshold_uncertainty_score":0.051499307},"labels":[],"label_agreement":null},{"id":"W2956083619","doi":"","title":"DataGM: Curating an Environment for Change","year":2013,"lang":"en","type":"article","venue":"Discovery Research Portal (University of Dundee)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Computer science; Business","score_opus":0.17464740011858146,"score_gpt":0.3318936616491981,"score_spread":0.15724626153061663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956083619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020590823,0.0038694895,0.6460859,0.12135293,0.0016864889,0.0012781995,0.004092052,0.0070276703,0.19401644],"genre_scores_gemma":[0.2965092,0.0038208605,0.6499953,0.008709551,0.00042614777,0.0015120627,0.004638666,0.0025215612,0.031866595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9711557,0.018068334,0.0014841798,0.0034223967,0.0048692254,0.001000147],"domain_scores_gemma":[0.942742,0.03106444,0.0028018253,0.016002815,0.004539271,0.00284966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032026432,0.0007315993,0.0010215655,0.006000819,0.0077349083,0.021062344,0.0039951005,0.005157477,0.0099363625],"category_scores_gemma":[0.04864655,0.0009387415,0.0015495708,0.00973223,0.0196573,0.032621607,0.030420797,0.0048314203,0.002791629],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005478371,0.0000801599,0.0034120213,0.001799575,0.00008227995,0.00042685197,0.03401723,0.0028214054,0.001332033,0.78284204,0.058382615,0.11474897],"study_design_scores_gemma":[0.000014086412,0.000018297953,0.00084391306,0.0008106635,0.000023337469,0.00018149786,0.010564453,0.0025284758,0.0013204898,0.22101094,0.76263237,0.000051569907],"about_ca_topic_score_codex":0.012823356,"about_ca_topic_score_gemma":0.015900653,"teacher_disagreement_score":0.032026432,"about_ca_system_score_codex":0.008952493,"about_ca_system_score_gemma":0.018797388,"threshold_uncertainty_score":0.16937393},"labels":[],"label_agreement":null},{"id":"W2963525873","doi":"10.1145/3332803","title":"GOTO rankings considered helpful","year":2019,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Goto; Data science; Information retrieval; Artificial intelligence; Programming language","score_opus":0.03732320868549027,"score_gpt":0.27361802431982835,"score_spread":0.23629481563433807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963525873","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31537881,0.0124695655,0.17473918,0.02858466,0.017381448,0.0019159357,0.036600832,0.010412262,0.40251726],"genre_scores_gemma":[0.77528113,0.0028425765,0.15020819,0.0033884817,0.0023665794,0.0005364131,0.023059832,0.0028539633,0.03946272],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97531325,0.011003421,0.0018243929,0.0014260596,0.008450039,0.001982945],"domain_scores_gemma":[0.95178676,0.01673133,0.0036546218,0.0041256696,0.020904599,0.0027971084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014596872,0.0020635328,0.0018841533,0.010765482,0.0036888202,0.011443115,0.00096586166,0.0015542391,0.015740411],"category_scores_gemma":[0.08446333,0.00041848022,0.0010443232,0.011746565,0.0012226054,0.005455276,0.0023268734,0.0028521884,0.007034991],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003313993,0.00078468025,0.07685316,0.004967194,0.0012334913,0.00054410985,0.002509916,0.007790577,0.009420856,0.08505744,0.30562288,0.5019017],"study_design_scores_gemma":[0.0005841596,0.0016181116,0.07804295,0.0026260687,0.0019432141,0.0009848077,0.01104467,0.037416965,0.02264113,0.19819787,0.64407367,0.00082641194],"about_ca_topic_score_codex":0.0044070347,"about_ca_topic_score_gemma":0.023773309,"teacher_disagreement_score":0.015740411,"about_ca_system_score_codex":0.0021557617,"about_ca_system_score_gemma":0.0052927416,"threshold_uncertainty_score":0.07719654},"labels":[],"label_agreement":null},{"id":"W2963593153","doi":"10.1177/0165551519865495","title":"Knowledge discovery using SPARQL property path: The case of disease data set","year":2019,"lang":"en","type":"article","venue":"Journal of Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"SPARQL; Computer science; Named graph; Information retrieval; Ontology; Semantic Web; Path (computing); Linked data; Social Semantic Web; Graph; RDF; World Wide Web; Data mining; Theoretical computer science","score_opus":0.08843087325629086,"score_gpt":0.33196126028070355,"score_spread":0.2435303870244127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963593153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10587501,0.00081638683,0.85593307,0.0072575887,0.00014987688,0.0007810229,0.0068946066,0.009122588,0.013169874],"genre_scores_gemma":[0.33928016,0.0005939884,0.6495655,0.0009154673,0.00003945803,0.00028840706,0.006440026,0.0004780958,0.0023988537],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9924184,0.0026882305,0.00081208575,0.0009557769,0.0027348485,0.0003906856],"domain_scores_gemma":[0.9884149,0.0075134016,0.00045177224,0.002024442,0.0013891406,0.00020632929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008873607,0.00039925647,0.00069500355,0.0021933946,0.0013389871,0.0031765956,0.0016983586,0.0017069019,0.0020159953],"category_scores_gemma":[0.0187691,0.0003703984,0.0012081509,0.0033758087,0.0014172433,0.0066799293,0.0029653949,0.0016891749,0.0004990517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017037193,0.0009736074,0.028769882,0.00318515,0.0005377358,0.016433675,0.012429926,0.08534619,0.035124924,0.36835524,0.050206635,0.3969333],"study_design_scores_gemma":[0.00022655862,0.00022956042,0.0036961937,0.00027419243,0.00023736597,0.0055025923,0.0034294114,0.48400062,0.07774274,0.202705,0.22178893,0.00016681997],"about_ca_topic_score_codex":0.011804885,"about_ca_topic_score_gemma":0.011488064,"teacher_disagreement_score":0.011804885,"about_ca_system_score_codex":0.0014363627,"about_ca_system_score_gemma":0.0026284007,"threshold_uncertainty_score":0.046928704},"labels":[],"label_agreement":null},{"id":"W2963728447","doi":"10.48550/arxiv.1604.05006","title":"Expressive Completeness of Existential Rule Languages for Ontology-based\\n Query Answering","year":2016,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Completeness (order theory); Computer science; Question answering; Ontology; Existentialism; Programming language; Natural language processing; Information retrieval; Artificial intelligence; Mathematics; Philosophy","score_opus":0.10533453105624464,"score_gpt":0.22670850090123568,"score_spread":0.12137396984499103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963728447","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0646379,0.00053564523,0.9204746,0.0012203455,0.00006565924,0.0001570934,0.00092862546,0.0008507238,0.011129343],"genre_scores_gemma":[0.66469693,0.00083971274,0.326718,0.0009391584,0.00017185995,0.0003513544,0.0024072772,0.00039713687,0.0034785285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9901973,0.0024401513,0.001254203,0.0019319548,0.003479796,0.00069654157],"domain_scores_gemma":[0.97774816,0.01474245,0.0008320381,0.0043246006,0.0020085736,0.00034416237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075289938,0.00067153375,0.0008365274,0.0014305518,0.0011086361,0.0046013836,0.0025188928,0.0012003736,0.0023116418],"category_scores_gemma":[0.02077213,0.0007960435,0.0022127482,0.0013506095,0.0038922115,0.011382236,0.0055719693,0.0045422656,0.00045680878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009494229,0.00010735147,0.0011968005,0.0002749553,0.00009110219,0.00027041227,0.0019490686,0.011628003,0.0058037117,0.9380256,0.0017761043,0.03878198],"study_design_scores_gemma":[0.00003621811,0.000035932113,0.00036389558,0.00006713943,0.00008164929,0.00033315844,0.00035922774,0.080056466,0.008687971,0.90092874,0.009007258,0.00004228386],"about_ca_topic_score_codex":0.0021122864,"about_ca_topic_score_gemma":0.0019062281,"teacher_disagreement_score":0.0075289938,"about_ca_system_score_codex":0.001531614,"about_ca_system_score_gemma":0.0019529243,"threshold_uncertainty_score":0.03981757},"labels":[],"label_agreement":null},{"id":"W296396633","doi":"10.1007/978-3-319-08852-5_41","title":"Learning Categories from Linked Open Data","year":2014,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"RDF; Computer science; Linked data; Information retrieval; Process (computing); Extensional definition; Subject (documents); Representation (politics); Resource (disambiguation); Metadata; Hierarchy; Similarity (geometry); Web resource; World Wide Web; Data science; Semantic Web; Artificial intelligence","score_opus":0.11272261615473049,"score_gpt":0.3343144556611146,"score_spread":0.22159183950638411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W296396633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012418833,0.0033246693,0.96418995,0.0018761804,0.00032890032,0.00013236348,0.0013180174,0.0021082095,0.014302812],"genre_scores_gemma":[0.17275567,0.0061164265,0.7858316,0.0005983187,0.00041972147,0.0005182428,0.013599456,0.00061738177,0.019543197],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828535,0.0004480011,0.00014773071,0.00033775886,0.0007195815,0.000061588966],"domain_scores_gemma":[0.99599457,0.0028162105,0.000103017745,0.0005953929,0.00040992076,0.0000808935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019601488,0.000684086,0.0007759331,0.0043475186,0.00087603554,0.003439905,0.0020000108,0.0011031732,0.00575854],"category_scores_gemma":[0.012099753,0.00050367514,0.0013726314,0.0047653564,0.0014875947,0.010477645,0.0046786773,0.0028514697,0.0029411372],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033710374,0.000064889646,0.0012265323,0.00041083622,0.000063459476,0.00007672866,0.0005900842,0.007400492,0.0007286168,0.15774521,0.020672552,0.81098694],"study_design_scores_gemma":[0.000007842641,0.000018078123,0.000579066,0.00024345978,0.00002746639,0.00013659552,0.000499981,0.074616574,0.0016384618,0.8592754,0.06293222,0.000024833536],"about_ca_topic_score_codex":0.002087873,"about_ca_topic_score_gemma":0.0034162025,"teacher_disagreement_score":0.00575854,"about_ca_system_score_codex":0.0012079868,"about_ca_system_score_gemma":0.0011493925,"threshold_uncertainty_score":0.01926428},"labels":[],"label_agreement":null},{"id":"W2964238983","doi":"","title":"Network Science, “Invisible” Information Managers in the Production of a Scientific Database","year":2012,"lang":"en","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Invisibility; Documentation; Work (physics); Visibility; Knowledge management; Data science; Bricolage; Articulation (sociology); Sociology; Engineering ethics; Computer science; Engineering; Political science; Geography; Visual arts; Art; Artificial intelligence","score_opus":0.010432155895073484,"score_gpt":0.18424640431236897,"score_spread":0.17381424841729548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964238983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24735515,0.005620976,0.39126393,0.12182367,0.0014757394,0.00055050984,0.00021829296,0.0010605208,0.23063123],"genre_scores_gemma":[0.90040654,0.0023319856,0.06690755,0.0038700062,0.0005630117,0.0003844803,0.00015918912,0.00040661765,0.024970636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9612283,0.02536914,0.0015594619,0.00396799,0.0066504213,0.0012246347],"domain_scores_gemma":[0.9440317,0.035759214,0.004511063,0.007035691,0.0042885565,0.0043737646],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.043102812,0.00064416614,0.00046171653,0.004502997,0.013694017,0.02305299,0.0029563874,0.0031223078,0.005110785],"category_scores_gemma":[0.05917216,0.000858899,0.00044242784,0.004362962,0.03667041,0.030493043,0.009732137,0.0044456352,0.0011143023],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011370265,0.00011233854,0.010133555,0.00033642282,0.00003359794,0.00071021885,0.31228468,0.00063312065,0.0021528483,0.56400496,0.012178393,0.09730618],"study_design_scores_gemma":[0.00007026918,0.00014822725,0.004521785,0.0008649298,0.00006628988,0.00086355297,0.15005404,0.003949477,0.0025364151,0.30306107,0.5337292,0.00013477044],"about_ca_topic_score_codex":0.007747724,"about_ca_topic_score_gemma":0.007029417,"teacher_disagreement_score":0.986306,"about_ca_system_score_codex":0.007661066,"about_ca_system_score_gemma":0.014806572,"threshold_uncertainty_score":0.22795218},"labels":[],"label_agreement":null},{"id":"W2964574368","doi":"10.29173/cais1031","title":"The Many Faces of Marcia Bate's Contributions: System Design Influence and Citation Impact","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"BATES; Citation; Variety (cybernetics); Perspective (graphical); Computer science; Information retrieval; World Wide Web; Artificial intelligence; Engineering","score_opus":0.02070106267930704,"score_gpt":0.2641368165672971,"score_spread":0.24343575388799005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964574368","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09120129,0.051232524,0.05975229,0.50855255,0.007135316,0.00016867199,0.0005589363,0.0010987766,0.2802997],"genre_scores_gemma":[0.89547336,0.022344584,0.03512871,0.015494073,0.0077835754,0.000348154,0.00036884643,0.0013769666,0.02168174],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.8980856,0.047324065,0.007940344,0.006812205,0.038129643,0.0017081369],"domain_scores_gemma":[0.5915952,0.2834452,0.015889216,0.025271377,0.07643162,0.0073674577],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.09581799,0.00059886364,0.0012725925,0.02395545,0.009055418,0.037641287,0.0016186885,0.0032188518,0.0056610145],"category_scores_gemma":[0.3603533,0.0007887979,0.0006223346,0.031733003,0.01270666,0.019372644,0.009368822,0.004516584,0.0027726737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018901328,0.000083811006,0.025821123,0.0012557578,0.00027317365,0.00022908165,0.040650778,0.0010506032,0.0011532019,0.5156696,0.075185806,0.33843794],"study_design_scores_gemma":[0.000079184836,0.00011492924,0.018741973,0.001573272,0.00027000453,0.00050288846,0.01220702,0.003023632,0.0034957216,0.39170694,0.5680601,0.00022438943],"about_ca_topic_score_codex":0.0069904835,"about_ca_topic_score_gemma":0.008568188,"teacher_disagreement_score":0.97604454,"about_ca_system_score_codex":0.009747908,"about_ca_system_score_gemma":0.009196474,"threshold_uncertainty_score":0.50674003},"labels":[],"label_agreement":null},{"id":"W2964675287","doi":"10.29173/cais923","title":"The Disappearing Semantic Web; an Examination of 54 Semantic Search Tools","year":2016,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Semantic Web; World Wide Web; Semantic search; Computer science; Information retrieval; Library science; Humanities; Art","score_opus":0.05612553499702641,"score_gpt":0.27632748415678604,"score_spread":0.22020194915975963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964675287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4994294,0.09526749,0.07302484,0.029547768,0.00093259953,0.00032816705,0.0015929878,0.0016817717,0.29819503],"genre_scores_gemma":[0.877692,0.047419403,0.04408967,0.002913154,0.00036205497,0.00027073047,0.002093437,0.0011703679,0.023989132],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9874307,0.002835202,0.0015384972,0.0009276967,0.0065002637,0.0007677282],"domain_scores_gemma":[0.9787017,0.01286333,0.0019410558,0.0014341414,0.0042080544,0.00085171993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011763189,0.0004923414,0.0005105576,0.031867217,0.0034480828,0.013471438,0.001116161,0.0016370035,0.002573344],"category_scores_gemma":[0.023396542,0.0003817722,0.0010067851,0.026959052,0.0075828223,0.028997581,0.004302641,0.0018693124,0.000770302],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027980958,0.0001367345,0.044988424,0.0015514712,0.00009200429,0.0014223367,0.052193247,0.0008592414,0.004009221,0.302948,0.016644781,0.57487476],"study_design_scores_gemma":[0.00002484054,0.00017527437,0.049524907,0.0018319307,0.00016406739,0.0025565121,0.05830437,0.0034913495,0.0057856822,0.06465343,0.8133631,0.00012459909],"about_ca_topic_score_codex":0.006792299,"about_ca_topic_score_gemma":0.008668848,"teacher_disagreement_score":0.031867217,"about_ca_system_score_codex":0.0035874117,"about_ca_system_score_gemma":0.004461197,"threshold_uncertainty_score":0.06221044},"labels":[],"label_agreement":null},{"id":"W2964823609","doi":"10.1609/aaai.v33i01.330110075","title":"Sequence to Sequence Learning for Query Expansion","year":2019,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Sequence (biology); Query expansion; Sentence; Information retrieval; Set (abstract data type); Space (punctuation); Artificial intelligence; Natural language processing; Artificial neural network","score_opus":0.05448195730448642,"score_gpt":0.30517875075678785,"score_spread":0.25069679345230145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964823609","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059698876,0.0014445069,0.9263701,0.0005596201,0.000147172,0.00035208534,0.0005798889,0.0053160866,0.005531784],"genre_scores_gemma":[0.560606,0.0007729263,0.42739615,0.0006005548,0.00019174465,0.000420434,0.0023509064,0.0003961963,0.0072650956],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989095,0.00036092062,0.00008616656,0.00033194598,0.00022271289,0.00008878401],"domain_scores_gemma":[0.99793386,0.0011701698,0.000115178686,0.0002813933,0.00043425802,0.00006525326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016165568,0.0009185975,0.0006581396,0.0012651773,0.00032349105,0.0005626034,0.0011303643,0.0009783426,0.006755598],"category_scores_gemma":[0.0063684536,0.00027084377,0.0006412987,0.0011641735,0.0005655966,0.0033056948,0.000933497,0.0012981421,0.0020416763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049238314,0.0005328734,0.0021149423,0.00055663177,0.00010516922,0.00017495462,0.00031324485,0.11216606,0.038142063,0.017635705,0.011834891,0.8159311],"study_design_scores_gemma":[0.000031557316,0.0002066139,0.00046451122,0.00002157377,0.000025816309,0.000118596916,0.000067166045,0.96629333,0.010680209,0.01704443,0.0050310157,0.000015119445],"about_ca_topic_score_codex":0.0040580095,"about_ca_topic_score_gemma":0.0054453174,"teacher_disagreement_score":0.006755598,"about_ca_system_score_codex":0.00088273844,"about_ca_system_score_gemma":0.00094215845,"threshold_uncertainty_score":0.022599697},"labels":[],"label_agreement":null},{"id":"W2966039310","doi":"10.29173/cais972","title":"FRBR and Models of Semantic Cognition","year":2018,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cognition; Computer science; Cognitive science; Cognitive model; Humanities; Psychology; Artificial intelligence; Philosophy; Neuroscience","score_opus":0.04728396024799419,"score_gpt":0.25988188248523514,"score_spread":0.21259792223724094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966039310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02581123,0.0014758406,0.88097614,0.0070483526,0.00014311315,0.000102218684,0.00031053266,0.000686398,0.08344623],"genre_scores_gemma":[0.56092954,0.0014397207,0.4143551,0.0010744423,0.00028807542,0.00045977108,0.0008013872,0.00027813035,0.020373855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99477816,0.0021967208,0.0004252037,0.0009869429,0.0012538563,0.00035915177],"domain_scores_gemma":[0.9928149,0.0033155978,0.0007233976,0.0020691445,0.0007845999,0.00029239277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005152308,0.00067709124,0.00076496374,0.0038127112,0.0016539162,0.0070661404,0.002343994,0.002787236,0.007504243],"category_scores_gemma":[0.010560424,0.0006879072,0.0025339117,0.0033596824,0.009186486,0.016757976,0.0030096737,0.0024007806,0.0013180966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004556452,0.000005505809,0.00009708929,0.000026853408,0.000006570997,0.0000227554,0.0003390831,0.0021703201,0.00011672044,0.99409723,0.00016787431,0.0029455132],"study_design_scores_gemma":[0.000011177091,0.000012155108,0.00019880554,0.0000284632,0.000010265806,0.000049946902,0.0002063888,0.013645162,0.00016328022,0.97484493,0.010817171,0.00001210495],"about_ca_topic_score_codex":0.012136223,"about_ca_topic_score_gemma":0.007472817,"teacher_disagreement_score":0.012136223,"about_ca_system_score_codex":0.0045051817,"about_ca_system_score_gemma":0.0027427843,"threshold_uncertainty_score":0.032687545},"labels":[],"label_agreement":null},{"id":"W2966293955","doi":"10.1145/3329121","title":"A Representation Theorem for Change through Composition of Activities","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Computational Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Interoperation; Rotation formalisms in three dimensions; Computer science; Domain (mathematical analysis); Theoretical computer science; Representation (politics); Class (philosophy); Information system; Process calculus; Canonical form; Process (computing); Mathematics; Programming language; Artificial intelligence; Interoperability; Pure mathematics","score_opus":0.08042164214727479,"score_gpt":0.32501280596151305,"score_spread":0.24459116381423826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966293955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0098391725,0.0005068558,0.95004535,0.0015273917,0.00016400161,0.00010542008,0.00026933363,0.00059626513,0.03694623],"genre_scores_gemma":[0.41040587,0.0012553202,0.5580473,0.00099931,0.00044113875,0.00069446483,0.0012468882,0.00046043002,0.026449345],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957504,0.00091580674,0.0004176172,0.0013518814,0.0010187812,0.00054538815],"domain_scores_gemma":[0.99634403,0.0017713108,0.00033723595,0.00063741225,0.0007182637,0.00019180539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034377738,0.0008636955,0.0007126073,0.0022437305,0.0024048232,0.004479364,0.0018288984,0.0020391673,0.010308056],"category_scores_gemma":[0.007589794,0.0006645645,0.0036030228,0.0022475799,0.006174745,0.015546524,0.0039718244,0.0046106027,0.0019029931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008678211,0.0000076060956,0.00009188936,0.00002656609,0.000006859598,0.00006710848,0.00028536597,0.0011429203,0.00027841303,0.9922496,0.0005529216,0.0052822046],"study_design_scores_gemma":[0.00002199481,0.000015446854,0.00007767066,0.000029937399,0.000020994083,0.00017822723,0.000115473405,0.016286442,0.00078387454,0.96201795,0.020436386,0.00001554971],"about_ca_topic_score_codex":0.005678108,"about_ca_topic_score_gemma":0.0028017543,"teacher_disagreement_score":0.010308056,"about_ca_system_score_codex":0.0030356292,"about_ca_system_score_gemma":0.0017391341,"threshold_uncertainty_score":0.03448391},"labels":[],"label_agreement":null},{"id":"W2966344753","doi":"10.21105/joss.01182","title":"VIVO: a system for research discovery","year":2019,"lang":"es","type":"article","venue":"The Journal of Open Source Software","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Institutes of Health","keywords":"In vivo; Computational biology; Data science; Computer science; Biology; Biotechnology","score_opus":0.08423399063207367,"score_gpt":0.37376047220848246,"score_spread":0.2895264815764088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966344753","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028415497,0.0023558938,0.41888273,0.0021531645,0.0008452263,0.0013319548,0.07577008,0.44640595,0.049413428],"genre_scores_gemma":[0.04510606,0.0042840093,0.62227625,0.0036528145,0.00070250843,0.003129747,0.24782017,0.021685308,0.051343184],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973464,0.00060261413,0.00041501853,0.00068688276,0.00080885994,0.0001402131],"domain_scores_gemma":[0.9924859,0.0028631033,0.00056723977,0.0026192854,0.0008627879,0.00060178904],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0048386795,0.001813856,0.001647194,0.008123426,0.0016151221,0.008217132,0.0038572338,0.0023720046,0.043665607],"category_scores_gemma":[0.014348814,0.001654191,0.0017473833,0.0071783937,0.0009864852,0.0105406325,0.00828925,0.0023346583,0.03945504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015631093,0.0003257354,0.003955981,0.0038539919,0.0004828423,0.0006756746,0.0010015641,0.0023418854,0.010416009,0.07599417,0.63237095,0.26701814],"study_design_scores_gemma":[0.00025443552,0.00007248018,0.0010141941,0.00018344997,0.00010454938,0.0003853288,0.00018971099,0.009912555,0.0043871514,0.036152042,0.94722044,0.00012365775],"about_ca_topic_score_codex":0.0033578356,"about_ca_topic_score_gemma":0.005691817,"teacher_disagreement_score":0.99178284,"about_ca_system_score_codex":0.0019578405,"about_ca_system_score_gemma":0.0032933583,"threshold_uncertainty_score":0.14607602},"labels":[],"label_agreement":null},{"id":"W2966866557","doi":"10.29173/cais999","title":"Bridging the Gap: The Concept of Information in the Work of Marcia J. Bates and Birger Hjørland","year":2018,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"BATES; Perspective (graphical); Humanities; Context (archaeology); Sociology; Philosophy; Computer science; Artificial intelligence; History; Engineering","score_opus":0.029708362537475903,"score_gpt":0.24837008300346683,"score_spread":0.21866172046599092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966866557","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026759733,0.15326726,0.022117464,0.5329321,0.0042864718,0.000032407144,0.000058941045,0.00006364883,0.26048198],"genre_scores_gemma":[0.83759797,0.07699235,0.013453922,0.030219344,0.004914648,0.00014081903,0.000064011,0.00022209408,0.03639486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98766756,0.0082662515,0.00034700686,0.00091725687,0.0020700088,0.00073199766],"domain_scores_gemma":[0.97857326,0.018376965,0.000896363,0.0005573261,0.00094636984,0.00064963754],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.014316641,0.00048387717,0.00069944415,0.0038441522,0.009283447,0.014600068,0.0014138779,0.006389014,0.0036097583],"category_scores_gemma":[0.02079444,0.00052910007,0.00045598956,0.003955935,0.044707958,0.026597986,0.0070277527,0.0077919015,0.00066690246],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001928908,0.0000046098885,0.00006855707,0.000049181945,0.0000021458181,0.00006415049,0.022658914,0.0000690139,0.000050232582,0.9662329,0.004902596,0.0058784154],"study_design_scores_gemma":[0.000015314723,0.00001928253,0.00035739137,0.00096580875,0.0000088195,0.00019332484,0.019643972,0.00021027937,0.00021085418,0.47980788,0.49852416,0.000042900683],"about_ca_topic_score_codex":0.014250251,"about_ca_topic_score_gemma":0.009587336,"teacher_disagreement_score":0.98539996,"about_ca_system_score_codex":0.011945431,"about_ca_system_score_gemma":0.0077245506,"threshold_uncertainty_score":0.08667052},"labels":[],"label_agreement":null},{"id":"W2969120545","doi":"10.3897/biss.3.38627","title":"Using Wikidata and Metaphactory to Underpin an Integrated Flora of Canada","year":2019,"lang":"en","type":"article","venue":"Biodiversity Information Science and Standards","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workflow; Computer science; XML; Flora (microbiology); Information retrieval; World Wide Web; Database; Geology","score_opus":0.031189595428274694,"score_gpt":0.26204798486034286,"score_spread":0.23085838943206816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969120545","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06662149,0.0069274395,0.23814918,0.026311893,0.0034274252,0.0017650503,0.049746733,0.0397882,0.56726265],"genre_scores_gemma":[0.21652344,0.0044780225,0.5657076,0.002534751,0.0002021693,0.00070622563,0.03823667,0.009589246,0.16202182],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750155,0.00017672495,0.00013950659,0.00041295157,0.0014100663,0.00035918146],"domain_scores_gemma":[0.98924017,0.00069275056,0.00031946247,0.0010341658,0.0063597746,0.0023537362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029289452,0.0007107408,0.00052298646,0.010305426,0.007993393,0.008991336,0.002918327,0.00083654176,0.016868653],"category_scores_gemma":[0.007954365,0.00067743694,0.00075996853,0.009067857,0.0037883592,0.00450719,0.00539983,0.0022782353,0.0028574483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022344047,0.00011176547,0.014507467,0.0011114484,0.00014799263,0.0013394211,0.017710043,0.006440556,0.010994099,0.20079789,0.2931773,0.45343855],"study_design_scores_gemma":[0.000012071701,0.000009562479,0.005279201,0.0002532092,0.000028234965,0.00010718557,0.0022623835,0.001675325,0.0011064671,0.007306999,0.9818818,0.000077639605],"about_ca_topic_score_codex":0.97521406,"about_ca_topic_score_gemma":0.97953874,"teacher_disagreement_score":0.060941003,"about_ca_system_score_codex":0.060941003,"about_ca_system_score_gemma":0.14938651,"threshold_uncertainty_score":0.44216},"labels":[],"label_agreement":null},{"id":"W2969409770","doi":"10.1007/978-3-030-29908-8_38","title":"Identity Resolution in Ontology Based Data Access to Structured Data Sources","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Conjunctive query; Assertion; Ontology; Description logic; Information retrieval; Identity (music); P; Relational database; Data access; Theoretical computer science; Programming language; Algorithm; Time complexity","score_opus":0.0898721322830801,"score_gpt":0.33400899317771826,"score_spread":0.24413686089463815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969409770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00885704,0.00087709277,0.98114544,0.0008458457,0.00013818828,0.00013482993,0.00012971475,0.00088803616,0.0069838264],"genre_scores_gemma":[0.18771894,0.0024604434,0.7930807,0.0005942593,0.0002239803,0.00032362636,0.0011899902,0.0005482818,0.013859761],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98624265,0.005049571,0.0016604968,0.0010485724,0.0052147578,0.0007839421],"domain_scores_gemma":[0.9893429,0.00573984,0.00048314643,0.0031248156,0.0010603297,0.00024878336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01144619,0.00048716887,0.0013456297,0.00308915,0.002435809,0.010072038,0.0038557847,0.002432987,0.003815132],"category_scores_gemma":[0.025659623,0.0012363461,0.001755068,0.0064620017,0.0035834168,0.014987029,0.009374054,0.004316311,0.0016275087],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001886116,0.00014747954,0.00087136636,0.00033099082,0.0000687608,0.0006679529,0.0024602253,0.008689232,0.0031133099,0.7952574,0.0071411775,0.18106338],"study_design_scores_gemma":[0.000037871854,0.00004443633,0.00042886753,0.00022389286,0.00011771519,0.0008090235,0.0014443359,0.17308185,0.015590622,0.75226885,0.055867933,0.00008456459],"about_ca_topic_score_codex":0.0048328442,"about_ca_topic_score_gemma":0.0029747032,"teacher_disagreement_score":0.01144619,"about_ca_system_score_codex":0.0017471121,"about_ca_system_score_gemma":0.0022509336,"threshold_uncertainty_score":0.060534},"labels":[],"label_agreement":null},{"id":"W2969434091","doi":"","title":"AGE-WELL Innovation Workshops: A Collaborative Approach Towards Effective Knowledge Translation and Commercialization Outcomes","year":2016,"lang":"en","type":"article","venue":"Discovery Research Portal (University of Dundee)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Commercialization; Knowledge management; Knowledge translation; Business; Process management; Computer science; Marketing","score_opus":0.09548941224795783,"score_gpt":0.3365115713747763,"score_spread":0.24102215912681846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969434091","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32844895,0.0011101022,0.36677527,0.028285375,0.0020660511,0.005154047,0.0010246831,0.006056029,0.26107955],"genre_scores_gemma":[0.7078803,0.00050137634,0.22211152,0.0026664378,0.0002577593,0.002384258,0.00092123705,0.0008272963,0.062449798],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9675043,0.021523567,0.0013421063,0.0024523078,0.004539527,0.0026381242],"domain_scores_gemma":[0.93166786,0.033858407,0.0029675039,0.010995205,0.008527275,0.011983792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04464057,0.0010167215,0.00079846586,0.0040522013,0.007395978,0.01094499,0.0035155837,0.0056157024,0.01589675],"category_scores_gemma":[0.047494683,0.00071105006,0.0010982503,0.0023723645,0.0025509768,0.013491218,0.021794606,0.004689722,0.0046621566],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009818308,0.010006845,0.0128784245,0.0010728848,0.00020299593,0.0020402158,0.113419265,0.00357969,0.017638912,0.09741482,0.07341321,0.6673509],"study_design_scores_gemma":[0.0005794929,0.0024084733,0.015352774,0.0011314724,0.00031095234,0.0010114297,0.12561052,0.015242054,0.04139755,0.26737818,0.5290101,0.0005670523],"about_ca_topic_score_codex":0.001125224,"about_ca_topic_score_gemma":0.0036613648,"teacher_disagreement_score":0.04464057,"about_ca_system_score_codex":0.0032408733,"about_ca_system_score_gemma":0.013725567,"threshold_uncertainty_score":0.2360847},"labels":[],"label_agreement":null},{"id":"W2969966349","doi":"","title":"Making the Semantic Web Usable for Biologists","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"USable; Computer science; World Wide Web; Semantic Web; Social Semantic Web; Semantic Web Stack; Information retrieval","score_opus":0.1254016718046069,"score_gpt":0.31344097901392914,"score_spread":0.18803930720932224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969966349","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047283057,0.002171283,0.854071,0.034573823,0.0012778295,0.00018589481,0.0011598461,0.008918957,0.050358254],"genre_scores_gemma":[0.381325,0.004354243,0.58770716,0.0042199087,0.0006547121,0.00040166872,0.0032532408,0.0043464974,0.013737621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968316,0.0016776009,0.00026172097,0.00025897074,0.000780845,0.00018937798],"domain_scores_gemma":[0.98855364,0.0050646868,0.00036934135,0.0044812434,0.0011605367,0.00037055186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068683885,0.00047896244,0.00054072443,0.0025409686,0.001667179,0.006087684,0.0019235242,0.002841888,0.0037708178],"category_scores_gemma":[0.021488221,0.0009579284,0.001364785,0.0023005405,0.004266581,0.017966487,0.005591728,0.002783534,0.0028503202],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002518769,0.00025198908,0.0034261285,0.00055461715,0.00017976384,0.0010228213,0.004874454,0.01658775,0.0168229,0.64607817,0.035405073,0.27454442],"study_design_scores_gemma":[0.00003787121,0.000018895369,0.00046540183,0.00014440813,0.000091704685,0.00017996339,0.0009481488,0.016245414,0.0062680915,0.7890827,0.18648182,0.00003556355],"about_ca_topic_score_codex":0.002308859,"about_ca_topic_score_gemma":0.002322599,"teacher_disagreement_score":0.0068683885,"about_ca_system_score_codex":0.0009853045,"about_ca_system_score_gemma":0.0025319722,"threshold_uncertainty_score":0.036323965},"labels":[],"label_agreement":null},{"id":"W2970049696","doi":"","title":"The Poisson multi-media knowledge construction System for TAC KBP 2018.","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Poisson distribution; Computer science; Mathematics; Statistics","score_opus":0.015838767429463625,"score_gpt":0.2683828381674673,"score_spread":0.25254407073800367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970049696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009957777,0.0005280245,0.78900516,0.00090573897,0.00031404194,0.0008193857,0.018326446,0.15950896,0.020634465],"genre_scores_gemma":[0.08942153,0.00060087035,0.821394,0.00036189583,0.00014466027,0.0012578723,0.056706484,0.012651961,0.017460696],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972396,0.0006280612,0.00035053366,0.000581188,0.0010640791,0.00013642898],"domain_scores_gemma":[0.9955017,0.0016716034,0.00021509662,0.001253194,0.0010648589,0.0002934683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036876271,0.0011201239,0.0011595096,0.006566109,0.0018060431,0.005943973,0.0032197712,0.0015962739,0.02305563],"category_scores_gemma":[0.020041818,0.0010481052,0.0013915382,0.0036366119,0.0008941385,0.009087759,0.006954585,0.0020120428,0.015742747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069084694,0.00046336366,0.0045197383,0.0010689805,0.00033696604,0.0011283429,0.0020518436,0.01387287,0.007608496,0.09592582,0.24158898,0.63074374],"study_design_scores_gemma":[0.0001839245,0.00009844018,0.0022857185,0.00037337482,0.00021578632,0.00068485516,0.0011131763,0.38220385,0.021916363,0.15993054,0.43078035,0.00021368031],"about_ca_topic_score_codex":0.009599201,"about_ca_topic_score_gemma":0.009849354,"teacher_disagreement_score":0.02305563,"about_ca_system_score_codex":0.0015305213,"about_ca_system_score_gemma":0.0045910194,"threshold_uncertainty_score":0.07712883},"labels":[],"label_agreement":null},{"id":"W2970761178","doi":"","title":"HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase.","year":2018,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hypergraph; Computer science; Mathematics; Discrete mathematics","score_opus":0.016379946216819426,"score_gpt":0.25075624483751857,"score_spread":0.23437629862069914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970761178","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015199341,0.0010970829,0.9608635,0.0013819821,0.00028920965,0.000509786,0.0043600793,0.012537274,0.0037618224],"genre_scores_gemma":[0.1509176,0.0009967509,0.8295528,0.00044601804,0.00019215101,0.00057309814,0.013206711,0.0005903991,0.0035244694],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959061,0.0013917717,0.00054973847,0.0008493397,0.0011295058,0.00017357763],"domain_scores_gemma":[0.98724186,0.007071382,0.00058164966,0.003289781,0.0012799997,0.000535355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006347743,0.0008944716,0.001607452,0.0065931883,0.0022154609,0.0086900275,0.0043802443,0.0023855078,0.011130759],"category_scores_gemma":[0.031676825,0.0010093993,0.0024872227,0.006000469,0.0024201723,0.016130723,0.0081421,0.0022588754,0.003202876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008605166,0.0006035152,0.0062190816,0.001851065,0.00075997994,0.001399587,0.0028974672,0.04779308,0.0045933165,0.20375697,0.05253379,0.67673165],"study_design_scores_gemma":[0.0001302644,0.00014939572,0.0010831815,0.0004317997,0.00033698004,0.0005007919,0.0012296877,0.32531002,0.007263628,0.6193401,0.04413755,0.000086527296],"about_ca_topic_score_codex":0.0051678782,"about_ca_topic_score_gemma":0.0070648654,"teacher_disagreement_score":0.011130759,"about_ca_system_score_codex":0.0013104966,"about_ca_system_score_gemma":0.0038621398,"threshold_uncertainty_score":0.037236094},"labels":[],"label_agreement":null},{"id":"W2972086563","doi":"10.1017/s0140525x01284155","title":"Conceptual deficits without features: A view from atomism","year":2001,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Atomism; Representation (politics); Ontology; Key (lock); Psychology; Cognitive science; Epistemology; Cognitive psychology; Computer science; Philosophy","score_opus":0.07204001309232647,"score_gpt":0.3258019428271571,"score_spread":0.2537619297348306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972086563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053497925,0.009913981,0.55569726,0.11001593,0.0013010788,0.00026026677,0.00092950487,0.0014674715,0.26691663],"genre_scores_gemma":[0.86919284,0.0046418966,0.096512675,0.014089761,0.0011933388,0.00063686323,0.00061220786,0.00037990633,0.012740534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99749595,0.00050727744,0.00015222415,0.0006326555,0.0009494523,0.0002623366],"domain_scores_gemma":[0.9958384,0.0016058815,0.00029665662,0.0012745707,0.00054996094,0.00043446425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039238557,0.0009697469,0.0019295968,0.0038820086,0.0024006572,0.006162219,0.003826555,0.0050110808,0.005651995],"category_scores_gemma":[0.006604087,0.00093200133,0.0019281317,0.0013304207,0.021174293,0.024911545,0.010670411,0.009056907,0.0010695517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025002168,0.000019320581,0.0002833002,0.000062428844,0.000024805375,0.00009016946,0.00051556283,0.0003325118,0.0002201972,0.9908054,0.0015806545,0.0060406374],"study_design_scores_gemma":[0.000008449053,0.000004697263,0.000055412063,0.0000082952,0.0000032738499,0.000047952308,0.000043872067,0.00033087822,0.00004347224,0.9975725,0.0018770178,0.000004236721],"about_ca_topic_score_codex":0.0028480187,"about_ca_topic_score_gemma":0.0016172404,"teacher_disagreement_score":0.006162219,"about_ca_system_score_codex":0.0030054029,"about_ca_system_score_gemma":0.0022497966,"threshold_uncertainty_score":0.021805823},"labels":[],"label_agreement":null},{"id":"W2972312524","doi":"10.48550/arxiv.1911.12254","title":"A semi-autonomous approach to connecting proprietary EHR standards to FHIR","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Interoperability; Computer science; Data exchange; Electronic data interchange; Interface (matter); Semantic interoperability; Software engineering; Schema (genetic algorithms); Software; Process (computing); Database; World Wide Web; Information retrieval; Programming language","score_opus":0.04423061547112345,"score_gpt":0.18534104932821394,"score_spread":0.1411104338570905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972312524","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003598669,0.00007325688,0.9883039,0.0011287266,0.00005866981,0.00031309354,0.000052831063,0.00075313775,0.0057177474],"genre_scores_gemma":[0.08536325,0.00013698063,0.9092226,0.00044372794,0.000057082038,0.00047452515,0.00029593203,0.0002383068,0.0037676303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9551013,0.025097363,0.003777774,0.003966626,0.010753695,0.0013032667],"domain_scores_gemma":[0.9556494,0.018429467,0.0030553474,0.014319196,0.0075105615,0.0010359657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036495753,0.00086116814,0.00066758133,0.0044508893,0.003916639,0.011895463,0.0046014534,0.004733825,0.002888695],"category_scores_gemma":[0.036766965,0.0016207518,0.0026826959,0.0029712613,0.01167369,0.016859703,0.013222293,0.005939794,0.001709578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041808627,0.00013583705,0.0009422264,0.0001751488,0.000045833007,0.00025976496,0.005241552,0.0050013973,0.0048729554,0.93771166,0.0019099127,0.043662004],"study_design_scores_gemma":[0.0000730584,0.0003534076,0.0013343921,0.0005446495,0.00010903737,0.0007718091,0.0036325054,0.11212418,0.024194773,0.62389356,0.23267435,0.0002943675],"about_ca_topic_score_codex":0.0059565017,"about_ca_topic_score_gemma":0.004917288,"teacher_disagreement_score":0.036495753,"about_ca_system_score_codex":0.0043672537,"about_ca_system_score_gemma":0.0103176255,"threshold_uncertainty_score":0.19301033},"labels":[],"label_agreement":null},{"id":"W2972856696","doi":"","title":"Proceedings of the Workshop on ColabTKR 2012 – Terminology and Knowledge Representation. LREC 2012","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Terminology; Representation (politics); Knowledge representation and reasoning; Computer science; Natural language processing; Artificial intelligence; Linguistics; Political science; Philosophy","score_opus":0.046207591665623,"score_gpt":0.30050892919497046,"score_spread":0.25430133752934747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972856696","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02445199,0.031590257,0.7045442,0.050690155,0.026195198,0.0018533387,0.020432837,0.020253513,0.11998854],"genre_scores_gemma":[0.08023302,0.016590662,0.53362477,0.009629609,0.004005696,0.001239179,0.16852595,0.011504203,0.1746469],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9884339,0.0061916485,0.001111937,0.0014743464,0.0021318938,0.0006562603],"domain_scores_gemma":[0.98356634,0.0044795834,0.0003775556,0.0046770014,0.005614176,0.001285328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0151229,0.0015664443,0.0027684818,0.0045433505,0.0022483787,0.0106811635,0.0045343963,0.0030665277,0.0469789],"category_scores_gemma":[0.025600981,0.0011544004,0.0023430188,0.004599608,0.0022254623,0.016505118,0.008565236,0.006453316,0.028445276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004750676,0.0005829572,0.0006819471,0.0008507966,0.0001442766,0.00036546477,0.0011638525,0.0019334018,0.0056033656,0.033034142,0.6011684,0.35399622],"study_design_scores_gemma":[0.00007612551,0.00010663022,0.0010938252,0.00060263724,0.00013314612,0.00057295844,0.0009028685,0.013077829,0.005559832,0.037424423,0.9403376,0.00011221142],"about_ca_topic_score_codex":0.014518016,"about_ca_topic_score_gemma":0.018368525,"teacher_disagreement_score":0.0469789,"about_ca_system_score_codex":0.003749239,"about_ca_system_score_gemma":0.006570086,"threshold_uncertainty_score":0.15716004},"labels":[],"label_agreement":null},{"id":"W2974516603","doi":"10.22230/cjc.2019v44n3a3455","title":"Classification as Catachresis: Double Binds of Representing Difference with Semiotic Infrastructure","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Semiotics; Ethnography; Meaning (existential); Politics; Epistemology; Sociology; Power (physics); Linguistics; Data science; Computer science; Knowledge management; Political science; Anthropology; Philosophy","score_opus":0.018798843862867003,"score_gpt":0.24312844835231973,"score_spread":0.22432960448945272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974516603","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20713158,0.0015486263,0.2661765,0.021306375,0.00050666457,0.00025822574,0.00019225906,0.00021811687,0.50266165],"genre_scores_gemma":[0.9837346,0.00017430882,0.012127561,0.0003332388,0.000029442595,0.00010275437,0.000052557025,0.0000706277,0.0033749684],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97895914,0.015555878,0.00082379597,0.0014003969,0.0024719536,0.00078878173],"domain_scores_gemma":[0.9840911,0.008924011,0.0011605188,0.0034465997,0.0018665318,0.0005111606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009899807,0.00042791507,0.00058290333,0.0029673453,0.006351663,0.011492695,0.0012673065,0.0017463663,0.0051501254],"category_scores_gemma":[0.019950822,0.00026319217,0.0004308895,0.0032936712,0.05489154,0.01581719,0.008500429,0.0033342263,0.00047048926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022208751,0.000009184343,0.00071147375,0.0000503496,0.0000036779563,0.00007867673,0.09165786,0.00017117483,0.00039493537,0.8980335,0.0005668935,0.008300071],"study_design_scores_gemma":[0.000021006355,0.000043055,0.0012823538,0.00020481551,0.000015542859,0.0005377045,0.12408033,0.001931293,0.0011587582,0.7320105,0.13866812,0.0000466298],"about_ca_topic_score_codex":0.0058783847,"about_ca_topic_score_gemma":0.0044364496,"teacher_disagreement_score":0.011492695,"about_ca_system_score_codex":0.0067572007,"about_ca_system_score_gemma":0.0042427797,"threshold_uncertainty_score":0.052355826},"labels":[],"label_agreement":null},{"id":"W2975654076","doi":"10.22215/etd/2017-12134","title":"Using INMDB for the Semantic Web","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"RDF Schema; RDF; Computer science; Linked data; Simple Knowledge Organization System; SPARQL; Information retrieval; Semantic Web; RDF/XML; RDF query language; Semantic Web Rule Language; Cwm; Predicate (mathematical logic); Semantic Web Stack; Semantic analytics; Programming language","score_opus":0.0870513651579561,"score_gpt":0.3579583745549626,"score_spread":0.2709070093970065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975654076","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002140967,0.006393277,0.5740043,0.00678867,0.0032213798,0.00075851736,0.07844559,0.122639425,0.20560786],"genre_scores_gemma":[0.023693766,0.009685951,0.5218954,0.0052415836,0.0011464666,0.0011009254,0.3394833,0.023349341,0.07440328],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956232,0.00073887163,0.0006912661,0.00087651133,0.001746359,0.00032381844],"domain_scores_gemma":[0.99675685,0.00043178545,0.00024135836,0.0014797997,0.00080540153,0.00028490732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035390614,0.0017852793,0.001377215,0.00707251,0.001883219,0.010831055,0.0031508398,0.0022937614,0.041697104],"category_scores_gemma":[0.008358011,0.0009920147,0.0017029048,0.010307594,0.0010049337,0.015259064,0.006855598,0.0034740071,0.06341041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013040485,0.00015527871,0.0007721669,0.0012674107,0.00011602033,0.00046993274,0.00048803774,0.0013874463,0.0029095674,0.20013064,0.5574516,0.23472145],"study_design_scores_gemma":[0.000010985408,0.000005303469,0.00014282606,0.0001878545,0.000017738437,0.00011000782,0.0000749656,0.0013565532,0.0013479121,0.030779026,0.9659471,0.000019822164],"about_ca_topic_score_codex":0.0048444485,"about_ca_topic_score_gemma":0.0048093963,"teacher_disagreement_score":0.041697104,"about_ca_system_score_codex":0.0016264282,"about_ca_system_score_gemma":0.003829852,"threshold_uncertainty_score":0.13949072},"labels":[],"label_agreement":null},{"id":"W2977865891","doi":"10.5220/0008169301740184","title":"Toward Measuring Knowledge Loss due to Ontology Modularization","year":2019,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Ontology; Modular programming; Theoretical computer science; Domain (mathematical analysis); RDF; Domain knowledge; Ontology-based data integration; Homomorphism; Description logic; Programming language; Information retrieval; Semantic Web; Software engineering; Mathematics","score_opus":0.039658903802820965,"score_gpt":0.2537472259932862,"score_spread":0.21408832219046522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977865891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32569712,0.00067738915,0.6699512,0.00052436785,0.000033885157,0.000086875894,0.00022334706,0.0004909642,0.0023147261],"genre_scores_gemma":[0.90836746,0.000245038,0.09025039,0.00010481409,0.000042372114,0.000077827586,0.00031990462,0.000114888615,0.00047730404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9863468,0.003985279,0.00084111426,0.0020190007,0.0060360814,0.0007718623],"domain_scores_gemma":[0.8976031,0.06913565,0.010792838,0.013917377,0.0069273096,0.0016237393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013164496,0.0007589155,0.0012199851,0.0042727194,0.00082728337,0.003756554,0.0020938325,0.0015168996,0.0009835534],"category_scores_gemma":[0.102945924,0.0006192632,0.00076986756,0.003357847,0.0049476004,0.013787244,0.0058491537,0.0025764988,0.0001946399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023005297,0.0007965961,0.09338367,0.0009362188,0.000863055,0.0008039917,0.0033746224,0.32430643,0.04660211,0.20207697,0.0015863554,0.32296953],"study_design_scores_gemma":[0.00004720764,0.00063104276,0.019970374,0.00010654795,0.00029574617,0.0008898089,0.00083103677,0.6947651,0.039260328,0.24033861,0.0027264466,0.00013775185],"about_ca_topic_score_codex":0.0011779919,"about_ca_topic_score_gemma":0.0005670546,"teacher_disagreement_score":0.013164496,"about_ca_system_score_codex":0.0021977278,"about_ca_system_score_gemma":0.0009995151,"threshold_uncertainty_score":0.069621325},"labels":[],"label_agreement":null},{"id":"W2978246852","doi":"10.5220/0008169601850194","title":"Assisted Composition of Linked Data Queries","year":2019,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"SPARQL; RDF; RDF Schema; Computer science; Interrogation; RDF query language; Schema (genetic algorithms); Linked data; RDF/XML; Information retrieval; Named graph; Relational database; Database; Semantic Web; Web search query; Search engine; Web query classification","score_opus":0.05634681208309119,"score_gpt":0.28686586430545624,"score_spread":0.23051905222236505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978246852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013284019,0.00015452901,0.96994317,0.00047318178,0.00010523251,0.0008298139,0.0005102316,0.008309166,0.0063905315],"genre_scores_gemma":[0.10965273,0.00024214202,0.87713265,0.00063137576,0.000082874656,0.0005708856,0.0034514908,0.0020184268,0.006217497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98024875,0.008721772,0.0016986408,0.0022915069,0.0064148814,0.0006244711],"domain_scores_gemma":[0.9875222,0.0059519857,0.00045219317,0.0030523636,0.0027116172,0.00030971674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013843396,0.0010927058,0.0011893315,0.0027343768,0.0013946247,0.003897567,0.0021570143,0.0013671526,0.0048691775],"category_scores_gemma":[0.022500018,0.00085096253,0.0021309594,0.002390729,0.0013971033,0.006337444,0.006369459,0.002198009,0.0019514341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011771639,0.0012132023,0.0051574865,0.0012310212,0.00054884824,0.0025468874,0.006872551,0.041603163,0.066119805,0.39324838,0.028037887,0.45224363],"study_design_scores_gemma":[0.00021345717,0.0002287132,0.0010343617,0.00021964216,0.00023692967,0.0010910563,0.0020490468,0.40154973,0.13969606,0.22660612,0.2268909,0.00018398438],"about_ca_topic_score_codex":0.0018288611,"about_ca_topic_score_gemma":0.0019151915,"teacher_disagreement_score":0.013843396,"about_ca_system_score_codex":0.0011690703,"about_ca_system_score_gemma":0.0019319317,"threshold_uncertainty_score":0.07321179},"labels":[],"label_agreement":null},{"id":"W2980870580","doi":"10.1038/s41591-019-0624-y","title":"Simpson’s paradox in proof-of-concept studies","year":2019,"lang":"en","type":"letter","venue":"Nature Medicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Burden of proof; Proof of concept; Mathematical economics; Epistemology; Mathematics; Philosophy; Computer science; Political science; Law","score_opus":0.031249542884175575,"score_gpt":0.320930850890397,"score_spread":0.28968130800622144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980870580","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021787782,0.0029660857,0.0011487483,0.985899,0.0069036596,0.000007109277,0.00003168222,0.000016978063,0.002808934],"genre_scores_gemma":[0.015539918,0.002064301,0.0021850916,0.94389135,0.03275322,0.00011663661,0.000027742011,0.00004157458,0.0033801026],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.94535077,0.030259393,0.0047849505,0.0048132753,0.013186118,0.0016054882],"domain_scores_gemma":[0.5470837,0.42533705,0.004298972,0.007749467,0.011274747,0.0042560557],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.071482785,0.0010393243,0.003493614,0.0025139279,0.006973309,0.010085597,0.004241497,0.08548956,0.005819149],"category_scores_gemma":[0.26569813,0.001257543,0.0020682013,0.0021573973,0.034684937,0.023842935,0.0061520766,0.07739955,0.0034629528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018310969,0.000043136217,0.00030731855,0.00023385359,0.00009802259,0.001237577,0.00080957456,0.00020733579,0.00009344492,0.3072617,0.6690505,0.02047445],"study_design_scores_gemma":[0.0002011416,0.000019454352,0.00013510474,0.0004350432,0.00003597439,0.000592517,0.0001948219,0.00054711243,0.00013960748,0.8036996,0.19394843,0.000051242678],"about_ca_topic_score_codex":0.004855233,"about_ca_topic_score_gemma":0.0069572497,"teacher_disagreement_score":0.9285172,"about_ca_system_score_codex":0.010810216,"about_ca_system_score_gemma":0.007663115,"threshold_uncertainty_score":0.37804163},"labels":[],"label_agreement":null},{"id":"W2982350216","doi":"10.48550/arxiv.1909.08240","title":"Mutex Graphs and Multicliques: Reducing Grounding Size for Planning","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Semaphore; Bottleneck; Mutual exclusion; Computer science; Graph; Solver; Theoretical computer science; Representation (politics); Mathematical optimization; Mathematics; Algorithm","score_opus":0.06465873781473816,"score_gpt":0.2033338488004723,"score_spread":0.13867511098573415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982350216","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06487827,0.00040249445,0.9233189,0.0015284669,0.00007147787,0.00022168158,0.0005011308,0.002058174,0.0070194374],"genre_scores_gemma":[0.34546518,0.00038834606,0.6497412,0.00033388517,0.000056637433,0.00028630652,0.00084138603,0.0004923821,0.0023947908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984066,0.0005869953,0.000070331655,0.00034427267,0.00040967387,0.00018218356],"domain_scores_gemma":[0.99256307,0.005187162,0.00046221606,0.0013695232,0.00023450637,0.00018362571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014444718,0.0010247246,0.0007780307,0.0012455763,0.0010789658,0.0018673668,0.0020782305,0.001192196,0.0059867627],"category_scores_gemma":[0.008425214,0.0006599831,0.0015353455,0.0019649027,0.0019183197,0.005799136,0.002996938,0.0027514792,0.0005050703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037746716,0.0002749084,0.0018808037,0.0003957703,0.00009490718,0.00029883714,0.0006188802,0.4756939,0.008570782,0.27948105,0.007843984,0.22446874],"study_design_scores_gemma":[0.00005638721,0.00008125149,0.00030103864,0.000049454306,0.000038850463,0.00012566152,0.00015960194,0.6780665,0.005362814,0.3088184,0.006920559,0.000019580377],"about_ca_topic_score_codex":0.004248192,"about_ca_topic_score_gemma":0.008206293,"teacher_disagreement_score":0.0059867627,"about_ca_system_score_codex":0.002319569,"about_ca_system_score_gemma":0.0017777898,"threshold_uncertainty_score":0.020027697},"labels":[],"label_agreement":null},{"id":"W2984271768","doi":"10.4018/978-1-5225-9570-0.ch021","title":"A Survey of Ontology-Based Frameworks for Sustainable Supply Chain Interoperability and Collaboration","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Interoperability; Ontology; Supply chain; Computer science; Knowledge sharing; Knowledge management; Domain (mathematical analysis); Domain knowledge; Information sharing; Knowledge representation and reasoning; Process management; Engineering; Business; Artificial intelligence; World Wide Web","score_opus":0.014985669214248796,"score_gpt":0.28025923814514275,"score_spread":0.26527356893089393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984271768","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034762756,0.38499504,0.42823038,0.010200322,0.0016233674,0.00041225358,0.0011072257,0.0011304336,0.16882472],"genre_scores_gemma":[0.036167003,0.5654525,0.36727136,0.003191038,0.0010419526,0.0007379234,0.0037941218,0.00046654523,0.021877632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99675095,0.0006640004,0.0004456179,0.00032563726,0.0015688861,0.00024491682],"domain_scores_gemma":[0.9980428,0.0009816487,0.0001922576,0.00026572114,0.0004243538,0.000093119226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037688727,0.0016572997,0.0013340953,0.00941822,0.001973265,0.0061592,0.0039291973,0.002922445,0.0064392285],"category_scores_gemma":[0.0049989605,0.0009343949,0.0020072362,0.028084485,0.0022816337,0.014643655,0.004433729,0.0028485642,0.0026232095],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015661164,0.0000909597,0.0003693193,0.0038697026,0.000056598077,0.00028740312,0.00087806117,0.0033888756,0.00070087175,0.54415476,0.027444215,0.41874352],"study_design_scores_gemma":[0.000005822174,0.000015054679,0.00038520372,0.0031778081,0.00004154138,0.0007506211,0.0007050578,0.0048343576,0.0004594304,0.18436033,0.8052218,0.00004300753],"about_ca_topic_score_codex":0.008233449,"about_ca_topic_score_gemma":0.0085063875,"teacher_disagreement_score":0.00941822,"about_ca_system_score_codex":0.003996996,"about_ca_system_score_gemma":0.0053662783,"threshold_uncertainty_score":0.029000401},"labels":[],"label_agreement":null},{"id":"W2992212706","doi":"10.1017/s0023879100011080","title":"Editor's Foreword: Open Access to <i>LARR</i> for Latin America and the Caribbean","year":2010,"lang":"en","type":"article","venue":"Latin American Research Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Latin Americans; Political science; Action (physics); Law; Physics","score_opus":0.1355149676478277,"score_gpt":0.4643632179876726,"score_spread":0.3288482503398449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992212706","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000094130206,0.007141861,0.00024807602,0.19349001,0.7940421,0.000048310212,0.00023230625,0.00013153134,0.0045716213],"genre_scores_gemma":[0.0016014331,0.015277191,0.0006360461,0.28123373,0.6619548,0.00015287571,0.00025376963,0.0002125323,0.038677678],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982937,0.00031711877,0.0002564413,0.0001888371,0.00074318476,0.00020075015],"domain_scores_gemma":[0.9826224,0.0050933454,0.0013252287,0.0005974806,0.008570493,0.0017911664],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.00401802,0.0019656743,0.0022506102,0.0029072424,0.0024545884,0.0053328276,0.0035669312,0.01049895,0.03987654],"category_scores_gemma":[0.018927345,0.00058784406,0.0014329206,0.0025137127,0.0018736004,0.0040606176,0.0023322639,0.009866342,0.020614985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008578521,0.000003558814,0.000028685366,0.00014795149,0.0000032257747,0.000056157704,0.000015771333,0.0000052553646,0.000037599737,0.0001944893,0.99599624,0.003502402],"study_design_scores_gemma":[0.000010283003,0.0000070551077,0.00030698808,0.0004383872,0.000012802653,0.0001377928,0.00009880503,0.000039163268,0.00007128472,0.00035559657,0.9985073,0.000014457847],"about_ca_topic_score_codex":0.0054853684,"about_ca_topic_score_gemma":0.011108894,"teacher_disagreement_score":0.9964331,"about_ca_system_score_codex":0.0017416717,"about_ca_system_score_gemma":0.0035116368,"threshold_uncertainty_score":0.13340032},"labels":[],"label_agreement":null},{"id":"W2994512688","doi":"","title":"On Ontological Foundations of Conceptual Modeling: A Response to Wyssusek","year":2006,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epistemology; Odds; Work (physics); Sociology; Ontology; Computer science; Philosophy","score_opus":0.030000227862202303,"score_gpt":0.2710599033903212,"score_spread":0.2410596755281189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994512688","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000655525,0.015415862,0.0073919715,0.9689248,0.003750805,0.000009271569,0.00003753478,0.000027780414,0.0037864454],"genre_scores_gemma":[0.13793516,0.06388526,0.038608566,0.6930049,0.046516705,0.0005043773,0.00020649147,0.00065561367,0.01868298],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9581231,0.025163805,0.0027041957,0.0041146507,0.008623374,0.0012708528],"domain_scores_gemma":[0.89071625,0.087040365,0.0023474842,0.0049549867,0.012466866,0.0024740356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05820854,0.0014444408,0.0034614606,0.004340261,0.008507561,0.016484046,0.0050251344,0.026732871,0.004067583],"category_scores_gemma":[0.07661523,0.0014442097,0.0021709525,0.005471472,0.063352704,0.06943679,0.013179148,0.07403875,0.0013399764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026503441,0.000019935931,0.00005498789,0.00006912224,0.000010123996,0.000073283314,0.003124461,0.0002800706,0.00005091022,0.9165756,0.075585686,0.0041293423],"study_design_scores_gemma":[0.000028431059,0.000009229421,0.00006161941,0.00036824663,0.0000078406665,0.00007996701,0.0022679004,0.00089607586,0.000093125,0.8303448,0.16579495,0.000047787384],"about_ca_topic_score_codex":0.01648206,"about_ca_topic_score_gemma":0.012038133,"teacher_disagreement_score":0.05820854,"about_ca_system_score_codex":0.019458914,"about_ca_system_score_gemma":0.010185072,"threshold_uncertainty_score":0.30783987},"labels":[],"label_agreement":null},{"id":"W2994830123","doi":"10.1017/s0269888919000237","title":"A review and comparison of ontology-based approaches to robot autonomy","year":2019,"lang":"en","type":"review","venue":"The Knowledge Engineering Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Waterloo","funders":"Interreg; Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; Deutsche Forschungsgemeinschaft","keywords":"Variety (cybernetics); Computer science; Ontology; Scope (computer science); Domain (mathematical analysis); USable; Robot; Reuse; Autonomy; Process ontology; Set (abstract data type); Human–computer interaction; Ontology language; Software engineering; Knowledge management; Artificial intelligence; Domain knowledge; Programming language; World Wide Web; Engineering; Semantic Web","score_opus":0.25483553978247975,"score_gpt":0.35628208920340393,"score_spread":0.10144654942092418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994830123","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012784619,0.9967713,0.0009056488,0.0004890492,0.00017092314,0.000009619018,0.0000210507,0.000007460527,0.0014970629],"genre_scores_gemma":[0.0010604056,0.99761605,0.0008075377,0.00019085963,0.000096203,0.000013272197,0.00003564967,0.0000030566457,0.00017684858],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983937,0.00043360522,0.00030325583,0.0001820395,0.0006075621,0.000079736914],"domain_scores_gemma":[0.9943703,0.003843361,0.00047195723,0.00013940355,0.0010483622,0.0001266684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003232855,0.001077845,0.0017365053,0.0112493485,0.00060110446,0.002322988,0.0016678983,0.0016234268,0.0024772424],"category_scores_gemma":[0.006100155,0.00058415084,0.0009995311,0.012223333,0.0015150554,0.003933393,0.0016402269,0.0019060441,0.0010562555],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005095674,0.00008444546,0.0004124913,0.06388684,0.00023791796,0.00023129178,0.0005406667,0.000847257,0.0006343112,0.03253408,0.020156465,0.8803832],"study_design_scores_gemma":[0.000010321785,0.000061371094,0.0012445593,0.041967444,0.00033694415,0.00082956464,0.00042314615,0.00028775347,0.000431573,0.012340884,0.94201905,0.000047359645],"about_ca_topic_score_codex":0.0037522751,"about_ca_topic_score_gemma":0.004755204,"teacher_disagreement_score":0.0112493485,"about_ca_system_score_codex":0.002131284,"about_ca_system_score_gemma":0.004592697,"threshold_uncertainty_score":0.017097175},"labels":[],"label_agreement":null},{"id":"W2996677710","doi":"10.7202/1064955ar","title":"OH LORD, WON'T YOU BUY ME A MERCEDES BENZ OR, THERE IS A THERE THERE","year":2019,"lang":"en","type":"article","venue":"Surfaces","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Internet privacy; Business; World Wide Web; Political science; Computer science","score_opus":0.024673985287433108,"score_gpt":0.25967032649769767,"score_spread":0.23499634121026455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996677710","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024418782,0.04978621,0.0059658485,0.31163612,0.04903983,0.000105907304,0.0010066784,0.0015465299,0.578471],"genre_scores_gemma":[0.010228959,0.025243906,0.004322245,0.019642776,0.0034757121,0.000041788073,0.00036900747,0.0008665708,0.93580914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865,0.00019170318,0.00005814993,0.00016202361,0.0007940256,0.0001440841],"domain_scores_gemma":[0.9973067,0.00042320235,0.00016688208,0.00018431389,0.0013426461,0.0005762367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015377545,0.00070282345,0.00073755474,0.0017810821,0.0042877174,0.010374916,0.0007380722,0.003888277,0.21225032],"category_scores_gemma":[0.006642343,0.00039312185,0.00052074384,0.0032821717,0.0024152591,0.011646307,0.0019621023,0.0039523877,0.13804619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034017183,0.000024422621,0.00028288848,0.00016471339,0.000005682841,0.00007075787,0.0002982642,0.000028545095,0.0004003068,0.020634154,0.9125968,0.06545939],"study_design_scores_gemma":[0.0000015635059,0.000007416779,0.00023751978,0.00011639807,0.0000026287103,0.00007552845,0.00037256832,0.000015892056,0.000088273075,0.0019091887,0.997165,0.000008034247],"about_ca_topic_score_codex":0.0067258268,"about_ca_topic_score_gemma":0.015908742,"teacher_disagreement_score":0.21225032,"about_ca_system_score_codex":0.0014821613,"about_ca_system_score_gemma":0.0021613333,"threshold_uncertainty_score":0.7100481},"labels":[],"label_agreement":null},{"id":"W2997572289","doi":"10.4000/jtei.3419","title":"TEI Models for the Publication of Social Sciences and Humanities Journals: Opportunities, Challenges, and First Steps Toward a Standardized Workflow","year":2021,"lang":"en","type":"article","venue":"Journal of the Text Encoding Initiative","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Workflow; Publishing; Personalization; Computer science; Reflection (computer programming); World Wide Web; Library science; Knowledge management; Political science; Database","score_opus":0.3619202485761579,"score_gpt":0.33883850523359543,"score_spread":0.023081743342562466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997572289","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004670522,0.0013724037,0.94446045,0.01946238,0.0011378158,0.001495411,0.0026329842,0.008944375,0.015823577],"genre_scores_gemma":[0.024457654,0.0020856615,0.9567548,0.0011931675,0.00034636058,0.0012375381,0.0056571835,0.002064818,0.0062028603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.94821715,0.023460697,0.012787984,0.0030445016,0.011203786,0.0012857834],"domain_scores_gemma":[0.7830215,0.07079302,0.014481517,0.07489802,0.048331704,0.008474207],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.09136781,0.00141724,0.0022084613,0.012369825,0.005233971,0.041651808,0.0067008855,0.005056224,0.005878103],"category_scores_gemma":[0.1315391,0.0018642757,0.004333166,0.021120086,0.0062934314,0.04350248,0.008721857,0.010673411,0.0101006515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021522008,0.0005275445,0.004095813,0.0015680868,0.00023286647,0.0004612836,0.004643131,0.009328958,0.0033596873,0.7301423,0.04395378,0.20147136],"study_design_scores_gemma":[0.000103675484,0.0001383315,0.0015132135,0.001963948,0.00016302234,0.00062765146,0.0038248303,0.046939988,0.0067359265,0.49599525,0.44168106,0.0003130357],"about_ca_topic_score_codex":0.009370171,"about_ca_topic_score_gemma":0.0113986125,"teacher_disagreement_score":0.9583482,"about_ca_system_score_codex":0.010534543,"about_ca_system_score_gemma":0.025961976,"threshold_uncertainty_score":0.48320496},"labels":[],"label_agreement":null},{"id":"W2998020915","doi":"10.5399/uo/hsda.6.1.2","title":"Collective Intelligence, the Future of Internet and the IEML: Interview to Pierre Lévy by Art Farley and Massimo Lollini","year":2019,"lang":"en","type":"article","venue":"Humanist Studies & the Digital Age","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Civilization; Metadata; Collective intelligence; The Internet; World Wide Web; Computer science; Sociology; Media studies; Art history; Political science; Law; Art","score_opus":0.026052105007575863,"score_gpt":0.260854040607367,"score_spread":0.23480193559979112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998020915","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026334932,0.020855054,0.0002479816,0.9605353,0.0023111352,0.000009864219,0.00003081177,0.000015380027,0.013360991],"genre_scores_gemma":[0.16392757,0.032501295,0.0009299727,0.7015985,0.006793135,0.00014161099,0.000076799835,0.00013128063,0.093899876],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99755055,0.0013326522,0.000051332845,0.0001762825,0.0004977103,0.00039144457],"domain_scores_gemma":[0.9961333,0.002618112,0.00017035921,0.000042272233,0.00051181926,0.00052404066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038863495,0.00071256317,0.0006232953,0.0017541234,0.012000869,0.007202958,0.0012482378,0.013509196,0.0050631226],"category_scores_gemma":[0.005887819,0.00042255336,0.00041806695,0.0021747064,0.010546433,0.015615998,0.0041894573,0.0151401395,0.0014182478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002320661,0.00004254787,0.0003962002,0.00009557179,0.000006049125,0.0005911227,0.059373185,0.00012369537,0.000163584,0.09676198,0.82982457,0.012598357],"study_design_scores_gemma":[0.000005946167,0.000008456965,0.0003466788,0.00021742513,0.0000017877809,0.00029735613,0.044259,0.000055079217,0.00006551944,0.0125619965,0.9421584,0.000022334938],"about_ca_topic_score_codex":0.04899747,"about_ca_topic_score_gemma":0.061431464,"teacher_disagreement_score":0.04899747,"about_ca_system_score_codex":0.013212957,"about_ca_system_score_gemma":0.008722608,"threshold_uncertainty_score":0.09742451},"labels":[],"label_agreement":null},{"id":"W2998070951","doi":"10.1609/aaai.v34i03.5699","title":"Towards Universal Languages for Tractable Ontology Mediated Query Answering","year":2020,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Conjunctive query; Computer science; P; Query language; Ontology language; Locality; Ontology; Boolean conjunctive query; Theoretical computer science; Programming language; Artificial intelligence; Information retrieval; Time complexity; Web search query; Sargable; Linguistics; Algorithm; Semantic Web","score_opus":0.09381173772767637,"score_gpt":0.3027292792059528,"score_spread":0.2089175414782764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998070951","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032989748,0.00049018575,0.95791894,0.0012317862,0.0000449197,0.00017166097,0.00030400496,0.0013618361,0.0054868786],"genre_scores_gemma":[0.51989377,0.0006378992,0.4729747,0.001136633,0.00019430416,0.0005930923,0.000772662,0.00052228523,0.0032746906],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9923977,0.0025065015,0.00086869684,0.0015833661,0.0018156463,0.00082812493],"domain_scores_gemma":[0.982451,0.009817774,0.0012011294,0.003629415,0.002388952,0.0005117134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072395327,0.00070721965,0.0011308829,0.0016394585,0.0011960553,0.0039950265,0.0025189777,0.0016113949,0.0023306012],"category_scores_gemma":[0.022015272,0.0013622852,0.0028182555,0.0014752812,0.005382367,0.010302421,0.008360035,0.0053699343,0.0005196725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049771963,0.000054200766,0.00050977035,0.00024160769,0.000041927826,0.00021832788,0.001902751,0.008426848,0.0050761392,0.96437556,0.0013650021,0.017738195],"study_design_scores_gemma":[0.000044378226,0.000048467115,0.00019419767,0.00010846355,0.00007484767,0.0003352965,0.00064649206,0.08789264,0.008213564,0.88866955,0.013713754,0.00005826791],"about_ca_topic_score_codex":0.0025561713,"about_ca_topic_score_gemma":0.0020145704,"teacher_disagreement_score":0.0072395327,"about_ca_system_score_codex":0.0030558156,"about_ca_system_score_gemma":0.002607915,"threshold_uncertainty_score":0.038286805},"labels":[],"label_agreement":null},{"id":"W2998889368","doi":"10.1002/9781118786352.wbieg0894.pub2","title":"Interoperability of Representations","year":2018,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Interoperability; Computer science; Semantics (computer science); Representation (politics); Syntax; Semantic interoperability; Function (biology); Software engineering; Data science; Programming language; World Wide Web; Artificial intelligence","score_opus":0.009979442852623897,"score_gpt":0.2711776811185555,"score_spread":0.2611982382659316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998889368","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011730033,0.0029974664,0.8027032,0.0062369155,0.000541754,0.00041761904,0.0018623497,0.0020350215,0.1714756],"genre_scores_gemma":[0.35703743,0.007785635,0.5650936,0.002962159,0.00074169214,0.0013262636,0.014289689,0.00221321,0.048550338],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9812656,0.0075271935,0.0026695128,0.0024086249,0.005034707,0.0010942627],"domain_scores_gemma":[0.9865058,0.0031086185,0.00053760206,0.00783241,0.0016454764,0.0003701293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009567742,0.0010650129,0.0010213801,0.004747892,0.0022822006,0.017038528,0.0038214726,0.0027583097,0.011487289],"category_scores_gemma":[0.026779875,0.0008290128,0.0016754965,0.0055865785,0.006517631,0.021258496,0.01257012,0.0043080207,0.0048498055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015071612,0.00002140201,0.00027106053,0.00008975633,0.000026528125,0.00009967948,0.0011156835,0.00086778053,0.00046951024,0.9548529,0.0033222977,0.038848292],"study_design_scores_gemma":[0.000008693672,0.000015102965,0.00029624283,0.00030149968,0.00003204615,0.00025150325,0.0007367431,0.0034757268,0.0011063495,0.8007128,0.19304226,0.00002099124],"about_ca_topic_score_codex":0.0027618534,"about_ca_topic_score_gemma":0.0012468077,"teacher_disagreement_score":0.017038528,"about_ca_system_score_codex":0.0025642237,"about_ca_system_score_gemma":0.003026731,"threshold_uncertainty_score":0.050599635},"labels":[],"label_agreement":null},{"id":"W3003238448","doi":"","title":"Towards a Benchmark for Knowledge Base Exchange.","year":2019,"lang":"en","type":"article","venue":"Knowledge Discovery and Data Mining","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmark (surveying); Computer science; Knowledge base; Base (topology); Artificial intelligence; Mathematics; Geology","score_opus":0.06517942266695431,"score_gpt":0.32064177626958146,"score_spread":0.25546235360262715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003238448","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071025535,0.008936729,0.72474587,0.016950205,0.003259316,0.0031608066,0.03171396,0.051414758,0.08879288],"genre_scores_gemma":[0.1789084,0.0025964912,0.70590794,0.0013639228,0.00040022907,0.0014747416,0.097580604,0.0034502426,0.008317432],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9581049,0.016803006,0.007095715,0.0035562825,0.012393637,0.0020465304],"domain_scores_gemma":[0.89087594,0.035765328,0.0036759807,0.034831118,0.02905588,0.0057956795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05331379,0.0016210134,0.0021829396,0.010430178,0.0042434,0.018003548,0.008788578,0.0056799925,0.009483195],"category_scores_gemma":[0.183088,0.0011138597,0.0015162908,0.013540904,0.0022196146,0.027204506,0.010828358,0.0052292086,0.007816269],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002170003,0.0025911715,0.010660645,0.0022654743,0.0004280249,0.0005773092,0.001666745,0.025213758,0.0069778655,0.21296802,0.16807695,0.56640404],"study_design_scores_gemma":[0.0006535456,0.0011696399,0.007126744,0.0024621382,0.00035906088,0.0010838038,0.0031440828,0.2142626,0.037108585,0.4271602,0.3052155,0.00025404766],"about_ca_topic_score_codex":0.00974718,"about_ca_topic_score_gemma":0.007532618,"teacher_disagreement_score":0.05331379,"about_ca_system_score_codex":0.003710047,"about_ca_system_score_gemma":0.009804478,"threshold_uncertainty_score":0.28195363},"labels":[],"label_agreement":null},{"id":"W3003710167","doi":"","title":"First steps towards an ontology of belief","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"National Cancer Institute; Canadian Institutes of Health Research; Roswell Park Cancer Institute","keywords":"Disposition; Categorical variable; Relation (database); Ontology; Computer science; Process (computing); Mental model; Belief revision; Epistemology; Term (time); Knowledge management; Psychology; Artificial intelligence; Cognitive science; Philosophy; Data mining; Machine learning","score_opus":0.02321193084831418,"score_gpt":0.2519273413617046,"score_spread":0.2287154105133904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003710167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005320577,0.0018359633,0.9314256,0.01720121,0.0006339956,0.00018658262,0.00049897964,0.00038796995,0.042509153],"genre_scores_gemma":[0.21084116,0.0022898924,0.76718956,0.0024484955,0.00075547426,0.00067046273,0.001254127,0.0003714596,0.014179389],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9946902,0.0026053535,0.00053849665,0.0007194888,0.0011613427,0.00028520002],"domain_scores_gemma":[0.9889949,0.005275695,0.00042041476,0.0022745675,0.002194754,0.0008396948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008915996,0.0009644598,0.0013791997,0.0038793655,0.004445156,0.011205054,0.0041344394,0.004247706,0.010488379],"category_scores_gemma":[0.014810366,0.001277548,0.0034571225,0.0034369898,0.012111598,0.028255727,0.005404718,0.00969152,0.0024380046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004413264,0.00000874249,0.000047308262,0.00002550522,0.000005383411,0.000017869748,0.00041443956,0.00015214294,0.00005505493,0.99523395,0.00078217615,0.0032529286],"study_design_scores_gemma":[0.0000049782857,0.00000377421,0.000049886585,0.000036728747,0.0000076162573,0.000029297682,0.00022521454,0.0019293635,0.00009417168,0.983869,0.013742677,0.0000072638804],"about_ca_topic_score_codex":0.0099416645,"about_ca_topic_score_gemma":0.0072057648,"teacher_disagreement_score":0.011205054,"about_ca_system_score_codex":0.005400401,"about_ca_system_score_gemma":0.0050480072,"threshold_uncertainty_score":0.047152817},"labels":[],"label_agreement":null},{"id":"W3005496838","doi":"10.1007/s00146-020-00946-8","title":"In defense of the Turing test","year":2020,"lang":"en","type":"article","venue":"AI & Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Turing test; Turing; Ambiguity; Computer science; Conversation; Schema (genetic algorithms); Test (biology); Chatbot; Artificial intelligence; Cognitive science; Linguistics; Psychology; Information retrieval; Philosophy","score_opus":0.01925661197351133,"score_gpt":0.23512348721126675,"score_spread":0.2158668752377554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005496838","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009205576,0.02363561,0.043922227,0.60895133,0.010525597,0.000061120285,0.00063364976,0.00041333755,0.30265155],"genre_scores_gemma":[0.59701717,0.013977325,0.031167423,0.1870264,0.028662395,0.0007002942,0.00095213857,0.0011276612,0.1393693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98963904,0.005466665,0.00037297004,0.0016657615,0.002177758,0.00067785155],"domain_scores_gemma":[0.9620922,0.027238503,0.0010528251,0.0044686124,0.0041011777,0.0010466058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013256892,0.0009418924,0.0019619155,0.0024862553,0.0055102143,0.007717344,0.0022140353,0.0068518464,0.017782455],"category_scores_gemma":[0.06318309,0.00059598417,0.0012365339,0.0014949861,0.024346897,0.02239432,0.0061161285,0.014405829,0.006252576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006373685,0.000012415862,0.00029043414,0.000079084006,0.000033568835,0.000050692553,0.00041346447,0.0003594776,0.0000629256,0.9208022,0.067811735,0.010020298],"study_design_scores_gemma":[0.000032877815,0.000009458811,0.00020285661,0.00009044984,0.000010269381,0.000049879927,0.00019523103,0.00069005124,0.00012784138,0.90678734,0.091787875,0.000015846193],"about_ca_topic_score_codex":0.0036758222,"about_ca_topic_score_gemma":0.0026682687,"teacher_disagreement_score":0.017782455,"about_ca_system_score_codex":0.0040517934,"about_ca_system_score_gemma":0.0030188807,"threshold_uncertainty_score":0.07010996},"labels":[],"label_agreement":null},{"id":"W3007649223","doi":"10.1108/jd-04-2019-0067","title":"The red thread of information","year":2020,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"BATES; Information science; Originality; Computer science; Information literacy; Epistemology; Sociology; Social science; World Wide Web; Philosophy; Library science","score_opus":0.016151039477205413,"score_gpt":0.2646027759344889,"score_spread":0.24845173645728347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007649223","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039836783,0.029820649,0.14458227,0.19366227,0.011887774,0.0005138298,0.00058162777,0.00073191494,0.5783829],"genre_scores_gemma":[0.8722169,0.0095614735,0.04159438,0.02938472,0.0030898491,0.000555934,0.00022470567,0.00065699255,0.04271506],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9762325,0.0135087175,0.0010295068,0.0028281037,0.005063946,0.0013371928],"domain_scores_gemma":[0.945382,0.031253483,0.0034124195,0.013554438,0.004066448,0.0023311682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02123892,0.00078573776,0.0009118588,0.0042886315,0.009663598,0.029956102,0.0020469888,0.004732585,0.013305239],"category_scores_gemma":[0.044287007,0.00065596227,0.0010126252,0.005264494,0.06205793,0.042175766,0.014361862,0.008002449,0.0030269786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028731802,0.0000123173895,0.00035092945,0.00024042738,0.000007939527,0.00007927871,0.022496099,0.00005955883,0.00022237614,0.9507153,0.007967417,0.017819544],"study_design_scores_gemma":[0.000012114676,0.00004759786,0.0005696764,0.0014519932,0.000021085256,0.00031463758,0.02075543,0.00034166357,0.00052620366,0.5083314,0.46759954,0.000028559925],"about_ca_topic_score_codex":0.002819608,"about_ca_topic_score_gemma":0.0016162136,"teacher_disagreement_score":0.029956102,"about_ca_system_score_codex":0.007376505,"about_ca_system_score_gemma":0.0092597725,"threshold_uncertainty_score":0.11232352},"labels":[],"label_agreement":null},{"id":"W3008612852","doi":"10.2200/s00986ed1v01y202001dtm062","title":"Cloud-Based RDF Data Management","year":2020,"lang":"en","type":"article","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"RDF; Computer science; Linked data; SPARQL; RDF Schema; Cloud computing; World Wide Web; Web resource; Schema (genetic algorithms); Data science; Semantic Web; Knowledge management; Information retrieval","score_opus":0.12178589594641079,"score_gpt":0.29252881383523566,"score_spread":0.17074291788882487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008612852","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009598897,0.0018591362,0.92205286,0.0060287192,0.001867481,0.0005298065,0.0038042078,0.013678219,0.040580694],"genre_scores_gemma":[0.2606931,0.005248264,0.6606011,0.002619891,0.0013727881,0.00052760274,0.026768204,0.005221243,0.036947716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99639064,0.0004833825,0.0003529497,0.0006099849,0.0017196613,0.00044335506],"domain_scores_gemma":[0.99574935,0.0005975355,0.00016001567,0.001994623,0.0011240522,0.000374451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053257677,0.00080266315,0.0012668673,0.002140528,0.002119976,0.007750207,0.0037628927,0.0013403172,0.010463337],"category_scores_gemma":[0.0057293284,0.0007704227,0.0014594175,0.005414398,0.0014051145,0.011607916,0.004340082,0.0029297962,0.0050030276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004903302,0.0005021388,0.0021636542,0.00038164295,0.00016420364,0.00051543594,0.00041675763,0.028199695,0.0141257,0.43763703,0.18787566,0.32752773],"study_design_scores_gemma":[0.00012217589,0.000050511353,0.0013473156,0.00026986765,0.00010047201,0.00039659595,0.00047142344,0.36618114,0.02666477,0.24216726,0.3621117,0.00011672366],"about_ca_topic_score_codex":0.02268906,"about_ca_topic_score_gemma":0.01575776,"teacher_disagreement_score":0.02268906,"about_ca_system_score_codex":0.0035074742,"about_ca_system_score_gemma":0.004600543,"threshold_uncertainty_score":0.04511398},"labels":[],"label_agreement":null},{"id":"W3009129594","doi":"10.5430/ijhe.v8n8p24","title":"Educating the Information Integration Using Contextual Knowledge and Ontology Merging in Advanced Levels","year":2019,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Information integration; XML; Data integration; RDF; Semantic integration; Ontology-based data integration; Information retrieval; Interface (matter); Architecture; World Wide Web; Software engineering; Data science; Semantic Web; Database; Semantic Web Stack; Geography","score_opus":0.023611447983503786,"score_gpt":0.3442375831366786,"score_spread":0.32062613515317484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009129594","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021410735,0.00038862784,0.9360941,0.0015968148,0.00006338376,0.00012500616,0.000033775406,0.0012312146,0.039056297],"genre_scores_gemma":[0.23148303,0.0007518453,0.75484455,0.000506487,0.00006230036,0.00017149968,0.0002268096,0.00035470419,0.011598706],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958852,0.0017629671,0.0002479324,0.00058359286,0.0011108422,0.00040945105],"domain_scores_gemma":[0.99662375,0.0012730887,0.00027662187,0.001044454,0.0005507724,0.00023138958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004689172,0.0006199506,0.0005098694,0.0021895939,0.0019731675,0.0050945687,0.0016036815,0.00129823,0.004788054],"category_scores_gemma":[0.00840462,0.0006622179,0.0009630839,0.0015206757,0.0022530528,0.011165968,0.009179124,0.0026003923,0.0014167649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007358074,0.0004632055,0.0051761065,0.00039990866,0.000057503625,0.0004563104,0.020511774,0.009135142,0.009515936,0.42502227,0.004675134,0.5245131],"study_design_scores_gemma":[0.00003700924,0.00020361993,0.0035043303,0.0008172769,0.00015381037,0.0010151562,0.010680235,0.059659805,0.0313676,0.5048116,0.3876057,0.00014380878],"about_ca_topic_score_codex":0.0025400997,"about_ca_topic_score_gemma":0.003391116,"teacher_disagreement_score":0.0050945687,"about_ca_system_score_codex":0.001779672,"about_ca_system_score_gemma":0.0036152608,"threshold_uncertainty_score":0.02479899},"labels":[],"label_agreement":null},{"id":"W3009418878","doi":"","title":"Étude de compétences de référencement documentaire d’étudiants universitaires : referencing skills of university students","year":2019,"lang":"fr","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Humanities; Political science; Sociology; Art","score_opus":0.017561603708880876,"score_gpt":0.27358146749984785,"score_spread":0.256019863790967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009418878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98346937,0.00073714904,0.0029772937,0.00077282474,0.000024613451,0.000054806624,0.00010395473,0.00007359349,0.011786339],"genre_scores_gemma":[0.9896745,0.00044620395,0.002650938,0.00009620708,0.000011184428,0.000035741155,0.0001503379,0.000020245876,0.0069145937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935355,0.0029114145,0.00063672394,0.00056383666,0.0018560922,0.0004964411],"domain_scores_gemma":[0.95718473,0.019733947,0.00504163,0.0027446062,0.012372427,0.0029227051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010994039,0.00024645083,0.00043549706,0.0030249215,0.0010461141,0.0035460014,0.00085003255,0.000890066,0.0063327854],"category_scores_gemma":[0.045157216,0.00028584094,0.00044343885,0.0024336074,0.0010633594,0.003123356,0.002020922,0.0008738239,0.0015277213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021436508,0.0006183823,0.41489494,0.000768333,0.00013735807,0.0007480578,0.25697735,0.0005713955,0.008066209,0.0051386547,0.0045858985,0.30727908],"study_design_scores_gemma":[0.00003935029,0.00082594145,0.7252061,0.0006587674,0.00011641429,0.0015807787,0.15722665,0.0033973109,0.009004859,0.0033693702,0.09838698,0.0001875515],"about_ca_topic_score_codex":0.011373166,"about_ca_topic_score_gemma":0.010113356,"teacher_disagreement_score":0.011373166,"about_ca_system_score_codex":0.0017405496,"about_ca_system_score_gemma":0.003010455,"threshold_uncertainty_score":0.05814272},"labels":[],"label_agreement":null},{"id":"W3010317630","doi":"10.3390/ijgi9030146","title":"A Review of Geospatial Semantic Information Modeling and Elicitation Approaches","year":2020,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Geospatial analysis; Ontology; Semantics (computer science); Information retrieval; Metadata; Data science; Metadata modeling; Set (abstract data type); World Wide Web; Metadata repository; Geography","score_opus":0.054918184704313124,"score_gpt":0.308831940206445,"score_spread":0.25391375550213185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010317630","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009479714,0.9210823,0.046146438,0.0036777165,0.0006178309,0.00018615351,0.00046086748,0.00025350484,0.026627252],"genre_scores_gemma":[0.0052398033,0.9570659,0.033497807,0.0007545586,0.00039821153,0.00016114015,0.0004905769,0.00006338778,0.002328729],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99664044,0.0010263055,0.0004687402,0.00040142584,0.001331067,0.00013207266],"domain_scores_gemma":[0.98901176,0.008057518,0.00046859338,0.00046635405,0.0018706297,0.0001250601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050323806,0.0016306101,0.0017672335,0.012214044,0.000970459,0.0044534784,0.0028649333,0.0023665787,0.005475892],"category_scores_gemma":[0.010154098,0.0009037007,0.0012229967,0.020927511,0.0018546361,0.007316621,0.0021432461,0.0020113555,0.0034608438],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036992096,0.00010820529,0.000495421,0.02448053,0.00010634157,0.00017694202,0.0008597611,0.0021690424,0.0010134733,0.08520192,0.034044877,0.85130656],"study_design_scores_gemma":[0.0000064201217,0.000030512452,0.00072531647,0.010445383,0.00010078596,0.00051020365,0.00069155515,0.0012153427,0.00097312714,0.029996455,0.95524955,0.00005541502],"about_ca_topic_score_codex":0.006115969,"about_ca_topic_score_gemma":0.0060139652,"teacher_disagreement_score":0.012214044,"about_ca_system_score_codex":0.0034499837,"about_ca_system_score_gemma":0.004775012,"threshold_uncertainty_score":0.02661407},"labels":[],"label_agreement":null},{"id":"W3011549594","doi":"10.22201/eneo.23958421e.2020.1.697","title":"Revisiones Sistemáticas Exploratorias como metodología para la síntesis del conocimiento científico","year":2020,"lang":"es","type":"article","venue":"Enfermería Universitaria","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Humanities; Philosophy","score_opus":0.08534589064475251,"score_gpt":0.28492615716145997,"score_spread":0.19958026651670746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011549594","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06145849,0.18568558,0.4779247,0.10006261,0.0130581735,0.018733004,0.009876409,0.003229582,0.12997147],"genre_scores_gemma":[0.26758537,0.09465855,0.56877536,0.017372506,0.0031368067,0.02359106,0.005492388,0.0011734486,0.018214492],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.78302056,0.13727227,0.026816186,0.008239987,0.042398617,0.002252381],"domain_scores_gemma":[0.5905505,0.24105492,0.037130788,0.035221893,0.09254843,0.0034935304],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.16526115,0.0022297695,0.003199533,0.014406595,0.004050824,0.016145555,0.005852315,0.0029633597,0.013160531],"category_scores_gemma":[0.2824335,0.0013548196,0.005397254,0.014475669,0.008843739,0.01133287,0.009776067,0.005859011,0.0037137414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007843564,0.00030294203,0.022587853,0.04310091,0.0013039623,0.00045542387,0.027908199,0.0022073525,0.0035890203,0.10312496,0.050058216,0.74457675],"study_design_scores_gemma":[0.00024824566,0.0009259665,0.022612536,0.07174009,0.0022659414,0.0012139339,0.02472444,0.0041849497,0.008090601,0.09602632,0.76751864,0.00044840638],"about_ca_topic_score_codex":0.007986268,"about_ca_topic_score_gemma":0.00968608,"teacher_disagreement_score":0.83473885,"about_ca_system_score_codex":0.011652351,"about_ca_system_score_gemma":0.04450328,"threshold_uncertainty_score":0.87399495},"labels":[],"label_agreement":null},{"id":"W3011803179","doi":"10.1109/icsc.2020.00054","title":"A Compositional Semantics for a Wide-Coverage Natural-Language Query Interface to a Semantic Web Triplestore","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Semantics (computer science); Natural language user interface; Interface (matter); Natural language processing; Natural language; Information retrieval; Programming language; Artificial intelligence; World Wide Web","score_opus":0.019503335200146132,"score_gpt":0.27227710679635553,"score_spread":0.2527737715962094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011803179","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046127755,0.00007481228,0.9825341,0.00046819833,0.00009478377,0.00022178769,0.00024255551,0.0034787855,0.008272082],"genre_scores_gemma":[0.1800255,0.00024899008,0.8046722,0.0006295377,0.00014182656,0.0007462799,0.00069611636,0.0018308322,0.011008643],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99731404,0.00068638736,0.00034058464,0.00038931222,0.0010063056,0.000263299],"domain_scores_gemma":[0.99783945,0.0007987911,0.00013011572,0.00046779893,0.0006086865,0.00015517366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041718567,0.0007576603,0.00088173134,0.001907948,0.002718202,0.005368014,0.0019446395,0.0022177948,0.011073665],"category_scores_gemma":[0.0055831145,0.0011019433,0.0025146178,0.0012802655,0.004610181,0.008986779,0.0042150016,0.0024750188,0.0031882734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008011058,0.00006574482,0.00019952409,0.00012365397,0.000017713584,0.00038958868,0.0014224832,0.0032764447,0.005579443,0.97221476,0.0026814588,0.013949074],"study_design_scores_gemma":[0.00014895371,0.000111889996,0.00023323501,0.00016768475,0.00009110091,0.00067206507,0.000813297,0.097660504,0.017184742,0.7609743,0.12181989,0.00012228434],"about_ca_topic_score_codex":0.0044404445,"about_ca_topic_score_gemma":0.0052162074,"teacher_disagreement_score":0.011073665,"about_ca_system_score_codex":0.0018095615,"about_ca_system_score_gemma":0.002656505,"threshold_uncertainty_score":0.03704512},"labels":[],"label_agreement":null},{"id":"W3011927156","doi":"10.5220/0009104908060813","title":"Cognitive Modeling in Computational Rhetoric: Litotes, Containment and the Unexcluded Middle","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Containment (computer programming); Rhetoric; Computer science; Programming language; Linguistics; Philosophy","score_opus":0.08271874868451057,"score_gpt":0.26092022665529946,"score_spread":0.1782014779707889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011927156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077824704,0.01509682,0.59741765,0.04921062,0.0009928503,0.000099910074,0.00026594198,0.00032988802,0.2587617],"genre_scores_gemma":[0.93310475,0.0018562345,0.057384454,0.0011436164,0.00057478517,0.00013127747,0.00012882861,0.000122198,0.0055539543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9940584,0.004262343,0.00028144426,0.00050831574,0.0006352717,0.0002542208],"domain_scores_gemma":[0.9858073,0.010817256,0.00066227623,0.001361197,0.0008521923,0.00049969595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008666767,0.0006095437,0.0009822531,0.0039453357,0.004067902,0.013213126,0.0020871914,0.0036223722,0.006455677],"category_scores_gemma":[0.020256678,0.0007030429,0.0011075948,0.0031263565,0.023617309,0.03379266,0.004637356,0.0043429798,0.0007685441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009885112,0.0000108399845,0.00008470766,0.000023557917,0.000003423039,0.000019492165,0.001670591,0.00024859718,0.00004417615,0.99433434,0.0003725737,0.0031778344],"study_design_scores_gemma":[0.000006839104,0.0000039774,0.000037048754,0.000032240005,0.000005090569,0.000022286342,0.00052280683,0.0017878597,0.000071288414,0.9945892,0.0029155407,0.0000057540906],"about_ca_topic_score_codex":0.003635581,"about_ca_topic_score_gemma":0.002742243,"teacher_disagreement_score":0.013213126,"about_ca_system_score_codex":0.00293551,"about_ca_system_score_gemma":0.0025321445,"threshold_uncertainty_score":0.04583478},"labels":[],"label_agreement":null},{"id":"W3013421646","doi":"","title":"University of Amsterdam at the TREC 2019 Complex Answer Retrieval Track.","year":2019,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute of Steel Construction","keywords":"Computer science; Track (disk drive); Information retrieval; Natural language processing; Operating system","score_opus":0.01639619210530899,"score_gpt":0.19918879322822924,"score_spread":0.18279260112292026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013421646","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010549447,0.0330302,0.037056718,0.034516063,0.016488723,0.0019861883,0.28703633,0.026241226,0.5530951],"genre_scores_gemma":[0.033652253,0.00860728,0.045037977,0.005234713,0.0022423752,0.0017470489,0.3924312,0.0068743876,0.5041728],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936115,0.0015325277,0.00039132414,0.0012690771,0.0025913166,0.00060423167],"domain_scores_gemma":[0.9923332,0.001729262,0.00029195286,0.00076015585,0.0034438234,0.0014416173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068749036,0.0017441765,0.0020512366,0.0038472502,0.0015926447,0.008917188,0.002171002,0.00252905,0.23473434],"category_scores_gemma":[0.012897912,0.00071426074,0.0010220206,0.0040857564,0.00081554585,0.006186584,0.002961777,0.0023367994,0.14575769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014372909,0.0000679456,0.00019551032,0.0005466123,0.000022940621,0.000057812853,0.000117817726,0.00022281223,0.0026444776,0.002695117,0.9355406,0.05774473],"study_design_scores_gemma":[0.000089346446,0.00008628035,0.001328916,0.00020982439,0.000019114468,0.00008546844,0.00017799414,0.0010419392,0.001762901,0.0027548717,0.99240303,0.00004027256],"about_ca_topic_score_codex":0.021325948,"about_ca_topic_score_gemma":0.031234574,"teacher_disagreement_score":0.23473434,"about_ca_system_score_codex":0.0034467822,"about_ca_system_score_gemma":0.0047148545,"threshold_uncertainty_score":0.7852646},"labels":[],"label_agreement":null},{"id":"W3014021059","doi":"10.1080/19386389.2020.1742434","title":"Exploring Methods for Linked Data Model Evaluation in Practice","year":2020,"lang":"en","type":"article","venue":"Journal of Library Metadata","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Ontology; Documentation; Context (archaeology); Metadata; Data science; Process (computing); Variety (cybernetics); Ambiguity; Linked data; Knowledge management; World Wide Web; Information retrieval; Semantic Web","score_opus":0.6985449576336179,"score_gpt":0.4703366936463967,"score_spread":0.22820826398722122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014021059","genre_codex":"methods","genre_gemma":"methods","domain_codex":"methods","domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005995676,0.0008805663,0.97793144,0.0034408772,0.000091278656,0.0018338993,0.00012614991,0.0006073761,0.009092713],"genre_scores_gemma":[0.05830274,0.00030578434,0.93711257,0.00022658482,0.000038104885,0.0030743305,0.00015010902,0.00022418585,0.0005656563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.40523207,0.525724,0.019993013,0.012549576,0.033933416,0.0025678978],"domain_scores_gemma":[0.23715083,0.65926254,0.015173277,0.044861022,0.04065834,0.002893981],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4431752,0.0039932206,0.0035403278,0.019123616,0.0067210854,0.030488873,0.01090474,0.0075515388,0.01397763],"category_scores_gemma":[0.6036922,0.0035983026,0.003816129,0.014154475,0.020777076,0.036053844,0.022894075,0.008757922,0.00234055],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004507606,0.0010905042,0.007610693,0.00458733,0.00059795514,0.00046370015,0.048108608,0.017939417,0.0014437942,0.54924786,0.0051769638,0.36328244],"study_design_scores_gemma":[0.00046285614,0.0005840173,0.0016159627,0.0053357785,0.00022576402,0.00035445928,0.026556056,0.122049525,0.0029500185,0.78912467,0.050474897,0.000266015],"about_ca_topic_score_codex":0.008420069,"about_ca_topic_score_gemma":0.009307937,"teacher_disagreement_score":0.4431752,"about_ca_system_score_codex":0.01844386,"about_ca_system_score_gemma":0.025504867,"threshold_uncertainty_score":0.68666416},"labels":[],"label_agreement":null},{"id":"W3014088957","doi":"","title":"Specifying PSOA RuleML/XML 1.03: MYNG-modularized Schemas for the RNC & XSD Validation of XSLT-normalized Data and Knowledge.","year":2019,"lang":"en","type":"article","venue":"Rules and Rule Markup Languages for the Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"XSLT; Computer science; RuleML; Programming language; RELAX NG; Streaming XML; XML; XML Schema (W3C); XML validation; Simple API for XML; Information retrieval; Database; Document Structure Description; Document type definition; Natural language processing; XML Signature; World Wide Web","score_opus":0.027795330028151533,"score_gpt":0.29518248819325926,"score_spread":0.2673871581651077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014088957","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044280584,0.0001552733,0.9004547,0.0005551636,0.00022213467,0.0009148,0.012499403,0.060953125,0.019817322],"genre_scores_gemma":[0.07160615,0.0004068789,0.8477818,0.0012456883,0.000089504734,0.0014323025,0.040697023,0.015823465,0.02091716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99265975,0.0019643144,0.0013552782,0.000968314,0.0027714632,0.0002808749],"domain_scores_gemma":[0.9862677,0.004182265,0.00095507805,0.004268647,0.0040334803,0.00029298489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011712622,0.0011311878,0.0007361412,0.0028842664,0.0011693699,0.007670973,0.0028070682,0.0020114444,0.01237968],"category_scores_gemma":[0.025251262,0.0011842834,0.001396534,0.0015487551,0.0016083515,0.005511477,0.0028539547,0.0027434272,0.013133725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070520374,0.00066851324,0.00726359,0.0019041747,0.00029484334,0.0022189724,0.0054934733,0.016192175,0.054019067,0.42156678,0.18944322,0.30023],"study_design_scores_gemma":[0.00010073104,0.00010051005,0.0021498513,0.0009109231,0.00016107922,0.0011824098,0.0006360444,0.10875778,0.12079221,0.06155203,0.7034355,0.00022104506],"about_ca_topic_score_codex":0.0074518565,"about_ca_topic_score_gemma":0.009402791,"teacher_disagreement_score":0.01237968,"about_ca_system_score_codex":0.0015778653,"about_ca_system_score_gemma":0.0050922586,"threshold_uncertainty_score":0.061943054},"labels":[],"label_agreement":null},{"id":"W3014766337","doi":"10.15760/etd.7299","title":"Multiple Diagram Navigation","year":2020,"lang":"en","type":"report","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Higher Education and Scientific Research; Canadian Bureau for International Education; Portland State University","keywords":"Diagram; Computer science; Domain (mathematical analysis); Information retrieval; Exploratory search; Content (measure theory); Subject (documents); World Wide Web; Database; Mathematics","score_opus":0.06162559245036746,"score_gpt":0.3028215984047206,"score_spread":0.24119600595435314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014766337","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010179231,0.00069893175,0.9258429,0.0005360751,0.00041801762,0.0005486852,0.001814491,0.036465414,0.023496345],"genre_scores_gemma":[0.10074157,0.00087982934,0.8493281,0.00045279157,0.00010198118,0.0006503533,0.005420394,0.0051263203,0.037298616],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775785,0.00062853744,0.00022775083,0.00048948306,0.00073973904,0.00015667513],"domain_scores_gemma":[0.99169934,0.0035877887,0.00038140998,0.0018005411,0.00214268,0.0003882426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018699275,0.0018306866,0.0008816759,0.0025499286,0.00092820526,0.0026122513,0.002195322,0.0015917139,0.051121227],"category_scores_gemma":[0.014943344,0.0007267046,0.0014450069,0.0020008094,0.0005371246,0.005546397,0.004470103,0.0013549255,0.016863665],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059676653,0.0003760447,0.0044440133,0.0016231104,0.00009982294,0.00059348944,0.002405368,0.0068134833,0.018243385,0.056440134,0.0864416,0.8219227],"study_design_scores_gemma":[0.0001583202,0.00027362793,0.0015655594,0.0004641573,0.00009165195,0.0012891248,0.0009974237,0.09418577,0.024267275,0.048233137,0.82833034,0.0001436751],"about_ca_topic_score_codex":0.0022033595,"about_ca_topic_score_gemma":0.0049713063,"teacher_disagreement_score":0.051121227,"about_ca_system_score_codex":0.0006861155,"about_ca_system_score_gemma":0.0017565825,"threshold_uncertainty_score":0.17101759},"labels":[],"label_agreement":null},{"id":"W3015984551","doi":"10.5281/zenodo.3462316","title":"Validating the OntoLex-lemon lexicography module with K Dictionaries' multilingual data","year":2019,"lang":"en","type":"article","venue":"Zaguan (University of Zaragoza Repository)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canarie","funders":"Agencia Estatal de Investigación; Ministerio de Educación, Cultura y Deporte; European Commission","keywords":"Lexicographical order; Computer science; Reuse; Lexicalization; Representativeness heuristic; Process (computing); Lexicography; Reusability; RDF; Representation (politics); Database; Information retrieval; Semantic Web; Artificial intelligence; Programming language; Mathematics; Linguistics; Engineering","score_opus":0.017381136224984422,"score_gpt":0.20123273365624958,"score_spread":0.18385159743126517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015984551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5553324,0.00028471582,0.33638346,0.0021253203,0.00022706909,0.0020308166,0.01830767,0.017695509,0.067613035],"genre_scores_gemma":[0.50765765,0.00021523739,0.44821748,0.0004186965,0.000022154323,0.0005692453,0.028509665,0.002447997,0.011941772],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99688655,0.0012296264,0.0004480189,0.00051501615,0.000776477,0.00014425002],"domain_scores_gemma":[0.9948315,0.0017936421,0.00028848453,0.001724965,0.0012097661,0.00015160312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005362279,0.00043736736,0.0003833135,0.0023988765,0.0008429411,0.0030580608,0.0009924102,0.0005732359,0.004211454],"category_scores_gemma":[0.012887299,0.00033294375,0.0006062354,0.0017752411,0.001179393,0.0045003532,0.004513221,0.0007954532,0.001728914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024057743,0.0015498172,0.117973864,0.003081975,0.0004031437,0.0039555514,0.032586273,0.036413394,0.05487701,0.17971468,0.039600655,0.52743787],"study_design_scores_gemma":[0.00021241039,0.00053294597,0.04165806,0.0016043787,0.00026206754,0.002649771,0.015495325,0.13096969,0.11928433,0.032690503,0.6543485,0.00029201165],"about_ca_topic_score_codex":0.008416797,"about_ca_topic_score_gemma":0.010042755,"teacher_disagreement_score":0.008416797,"about_ca_system_score_codex":0.0018965139,"about_ca_system_score_gemma":0.002883586,"threshold_uncertainty_score":0.028358757},"labels":[],"label_agreement":null},{"id":"W3020822728","doi":"10.2196/17176","title":"Data Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish Interoperability","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Interoperability; Computer science; Semantic interoperability; Semantic Web; World Wide Web; System integration; Data science; Knowledge management; Database","score_opus":0.10956360910117464,"score_gpt":0.32996707969783123,"score_spread":0.2204034705966566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020822728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3041848,0.0023560813,0.59787697,0.012079558,0.0002099705,0.0018551626,0.003825609,0.0035634579,0.07404844],"genre_scores_gemma":[0.78175485,0.0008777932,0.21072292,0.0005008233,0.000035299272,0.0003591965,0.0033209734,0.00020086611,0.0022272211],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921152,0.0035003924,0.001236717,0.0008911243,0.001884037,0.00037254323],"domain_scores_gemma":[0.9922449,0.00352104,0.00075133424,0.0016715524,0.001536903,0.00027433358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010425563,0.00042802663,0.0005652743,0.005777592,0.002287084,0.006054347,0.0010190003,0.0012031049,0.00096005696],"category_scores_gemma":[0.018276792,0.00037653037,0.0012360628,0.0063167796,0.0018335686,0.0064139566,0.0052812966,0.0010411047,0.00029930085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050629914,0.00059081154,0.092662536,0.0019819888,0.0005300533,0.004116228,0.04594075,0.019770758,0.02313403,0.2978265,0.013112446,0.49982762],"study_design_scores_gemma":[0.00015343682,0.00029708058,0.089426234,0.003752007,0.0011897859,0.0026930606,0.02972838,0.19509046,0.035802413,0.19517587,0.44636276,0.00032851053],"about_ca_topic_score_codex":0.038011502,"about_ca_topic_score_gemma":0.025393706,"teacher_disagreement_score":0.038011502,"about_ca_system_score_codex":0.0047641834,"about_ca_system_score_gemma":0.008815345,"threshold_uncertainty_score":0.07558048},"labels":[],"label_agreement":null},{"id":"W3021653277","doi":"10.3390/publications8020025","title":"The Fast and the FRDR: Improving Metadata for Data Discovery in Canada","year":2020,"lang":"en","type":"article","venue":"Publications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Library and Archives Canada; McGill University","funders":"","keywords":"Metadata; Computer science; Standardization; Metadata repository; Task (project management); Terminology; World Wide Web; Subject (documents); Data science; General partnership; Information retrieval; Political science; Engineering","score_opus":0.05889407143111957,"score_gpt":0.25018590437164007,"score_spread":0.1912918329405205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021653277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09052118,0.010138367,0.5199843,0.12003536,0.0023462842,0.0028529547,0.06662104,0.028185029,0.15931556],"genre_scores_gemma":[0.13050187,0.008934776,0.76854056,0.004468613,0.00028470936,0.0007711015,0.04930074,0.0033626251,0.033834983],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9552984,0.009255029,0.0056161657,0.0038547032,0.02237976,0.0035959815],"domain_scores_gemma":[0.85125905,0.021066695,0.005034023,0.032213558,0.082391575,0.008035075],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.05392034,0.0007855701,0.0012878464,0.021496108,0.015498248,0.02212804,0.005507226,0.001998515,0.0047787544],"category_scores_gemma":[0.10680932,0.0012372773,0.0018877536,0.05543002,0.006202121,0.023157634,0.016190471,0.0034437205,0.0020761834],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037856726,0.00018540335,0.028847393,0.0009971717,0.00019540885,0.0005213164,0.011228048,0.0077807526,0.004224468,0.2660469,0.19164851,0.48794603],"study_design_scores_gemma":[0.000088372515,0.000068687536,0.015665,0.0009978217,0.00014896238,0.00022826843,0.0094222,0.0173559,0.0087506035,0.057822894,0.88905424,0.00039713722],"about_ca_topic_score_codex":0.9655518,"about_ca_topic_score_gemma":0.96416867,"teacher_disagreement_score":0.97787195,"about_ca_system_score_codex":0.07662366,"about_ca_system_score_gemma":0.3047056,"threshold_uncertainty_score":0.55594623},"labels":[],"label_agreement":null},{"id":"W3021670171","doi":"10.34657/5193","title":"Optimizing Federated Queries Based on the Physical Design of a Data Lake","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Computer science; SPARQL; RDF query language; Query optimization; Sargable; Heuristics; Query language; RDF; Information retrieval; Query expansion; Web search query; Web query classification; Relational database; Database; Semantic Web; Search engine","score_opus":0.1473990180796209,"score_gpt":0.2759578175325815,"score_spread":0.12855879945296056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021670171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09687649,0.00039893558,0.89383346,0.00050950435,0.000038620336,0.00029553703,0.00042834453,0.0039747753,0.0036443921],"genre_scores_gemma":[0.4914642,0.00026006578,0.505327,0.0001212334,0.000015063005,0.00019174513,0.0010607472,0.00055358774,0.0010063283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972005,0.00090581237,0.00027149974,0.000499676,0.00083694264,0.00028568698],"domain_scores_gemma":[0.9976937,0.0012322855,0.00019202456,0.00048002595,0.00030176505,0.00010017664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025502148,0.0007785195,0.0008535954,0.00095455896,0.0009933321,0.0029153689,0.0013118328,0.0008346917,0.0012232582],"category_scores_gemma":[0.0064313347,0.0005546327,0.00087822403,0.0014903913,0.0012107776,0.0033858116,0.002023039,0.0010383155,0.00027078803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007616706,0.00042361792,0.007241169,0.0005820321,0.00021892923,0.0005607342,0.0011507702,0.6787011,0.09547691,0.06709321,0.0064395624,0.14135033],"study_design_scores_gemma":[0.000041830095,0.000075448,0.00067346735,0.00001668663,0.000046164525,0.00008038048,0.000357477,0.9539251,0.02192795,0.017634934,0.0051923413,0.000028276572],"about_ca_topic_score_codex":0.0050877985,"about_ca_topic_score_gemma":0.008756909,"teacher_disagreement_score":0.0050877985,"about_ca_system_score_codex":0.0016255574,"about_ca_system_score_gemma":0.002331048,"threshold_uncertainty_score":0.013486981},"labels":[],"label_agreement":null},{"id":"W3022137575","doi":"","title":"Ahead-of-time compilation in OMR: overview and first steps.","year":2019,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science","score_opus":0.13481303152977392,"score_gpt":0.4050022547280365,"score_spread":0.2701892231982626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022137575","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010481814,0.006619967,0.711562,0.0014263833,0.0018401666,0.00061449694,0.0016746345,0.24844219,0.017338332],"genre_scores_gemma":[0.0831013,0.0022028266,0.82967013,0.0014287336,0.00080502185,0.0005544854,0.0071439054,0.05610907,0.018984644],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9882246,0.0039915065,0.000979925,0.002013141,0.0032169595,0.001573891],"domain_scores_gemma":[0.982288,0.004725495,0.0005406846,0.009476446,0.0022723987,0.00069700886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008532567,0.0031149846,0.0022053972,0.0019057565,0.0010197252,0.0060553085,0.007859175,0.0021726028,0.029806927],"category_scores_gemma":[0.019688604,0.002563497,0.0031546825,0.0023291903,0.0015044557,0.016851565,0.0063557844,0.004413152,0.021753393],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026342054,0.0006773956,0.0022963327,0.0018588975,0.00047117687,0.00049663364,0.00091963843,0.008844236,0.022347353,0.03790677,0.17728765,0.74425966],"study_design_scores_gemma":[0.00079218973,0.0010862526,0.0027865726,0.0011846198,0.0006633199,0.0013212118,0.0008071267,0.2058226,0.07089704,0.08792448,0.62617946,0.000535123],"about_ca_topic_score_codex":0.003598889,"about_ca_topic_score_gemma":0.005380764,"teacher_disagreement_score":0.029806927,"about_ca_system_score_codex":0.001510213,"about_ca_system_score_gemma":0.004814541,"threshold_uncertainty_score":0.09971416},"labels":[],"label_agreement":null},{"id":"W3024062452","doi":"10.3233/978-1-61499-753-5-486","title":"Discovering Central Practitioners in a Medical Discussion Forum Using Semantic Web Analytics","year":2017,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Centrality; Semantic analytics; Computer science; Social Semantic Web; Semantic Web; Semantics (computer science); Social network analysis; Semantic similarity; Data science; World Wide Web; Information retrieval; Semantic Web Stack; Social media","score_opus":0.05772672950594576,"score_gpt":0.38758990868515375,"score_spread":0.329863179179208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024062452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49010363,0.0011515787,0.48672453,0.0025894712,0.00028936344,0.0008725362,0.0016748772,0.0010350134,0.015558947],"genre_scores_gemma":[0.76600844,0.00038284314,0.22868416,0.00012702285,0.00014383765,0.00047085836,0.0013574429,0.000115289906,0.0027100744],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9919383,0.00479642,0.0004573711,0.0010591217,0.0014449906,0.00030376614],"domain_scores_gemma":[0.9659156,0.02550828,0.0032945648,0.0011620149,0.002770241,0.0013493107],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.011869283,0.0009359514,0.00062558515,0.014799833,0.002372571,0.0046828473,0.0009907669,0.0013085763,0.0034625644],"category_scores_gemma":[0.026925871,0.00033352096,0.0008697688,0.0068719746,0.0014638243,0.009189187,0.0033455722,0.0009488066,0.0010817241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020891957,0.0011056972,0.15319405,0.00303056,0.00036731077,0.0028054358,0.08126617,0.016808728,0.054053444,0.14625919,0.0073218374,0.53169835],"study_design_scores_gemma":[0.00023677497,0.0007392719,0.05820063,0.0011572547,0.0003061102,0.0016784809,0.08842525,0.31131196,0.031367127,0.37217075,0.13409042,0.00031609414],"about_ca_topic_score_codex":0.0008348102,"about_ca_topic_score_gemma":0.0015896449,"teacher_disagreement_score":0.98520017,"about_ca_system_score_codex":0.0015719726,"about_ca_system_score_gemma":0.0019422135,"threshold_uncertainty_score":0.0627715},"labels":[],"label_agreement":null},{"id":"W3025893223","doi":"10.48550/arxiv.2005.05423","title":"Restricted Chase Termination for Existential Rules: a Hierarchical Approach and Experimentation","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chase; Decidability; Computer science; Parameterized complexity; Class (philosophy); Hierarchy; Programming language; Existentialism; Fragment (logic); Theoretical computer science; Algorithm; Artificial intelligence; Database","score_opus":0.13390909920117872,"score_gpt":0.23274255032827795,"score_spread":0.09883345112709924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025893223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2929628,0.0005043472,0.68298244,0.0003521821,0.00004574852,0.001125742,0.0006333132,0.0038478388,0.017545616],"genre_scores_gemma":[0.5550615,0.00029704827,0.43939787,0.00015942904,0.000016585134,0.00046941495,0.0011010363,0.00079176656,0.0027052823],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99429613,0.0024929475,0.00034160237,0.0008097569,0.0016905087,0.00036905444],"domain_scores_gemma":[0.97691727,0.015573129,0.0005134742,0.004129988,0.0024335475,0.00043260772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058139013,0.00056738814,0.0006847744,0.0016401807,0.0012856318,0.0014991352,0.0024398272,0.0012066178,0.004783782],"category_scores_gemma":[0.028482316,0.00043540492,0.0012293432,0.0013547286,0.0019514638,0.0040672473,0.0022084296,0.0025813486,0.0009093587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018733284,0.0052011423,0.022330904,0.0019472346,0.00026945717,0.0011674274,0.009155,0.23018979,0.10251356,0.17119367,0.008995857,0.44516256],"study_design_scores_gemma":[0.00018427086,0.0008605536,0.0035963783,0.0001808262,0.000107750784,0.00036351566,0.0017067489,0.8629556,0.053486317,0.062097166,0.014359983,0.000100900965],"about_ca_topic_score_codex":0.00661701,"about_ca_topic_score_gemma":0.008206397,"teacher_disagreement_score":0.00661701,"about_ca_system_score_codex":0.0017819232,"about_ca_system_score_gemma":0.0016121254,"threshold_uncertainty_score":0.030747175},"labels":[],"label_agreement":null},{"id":"W3026131408","doi":"10.5220/0009471103820389","title":"Challenges with Teaching and Learning Theoretical Query Languages","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Query optimization; Query language; Natural language processing; Artificial intelligence; Information retrieval","score_opus":0.021669714511908487,"score_gpt":0.2534016108142667,"score_spread":0.23173189630235821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026131408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02743789,0.0085162,0.4629115,0.4435371,0.0012160378,0.00022396432,0.0004213998,0.001481238,0.054254707],"genre_scores_gemma":[0.4266124,0.015799433,0.51516324,0.0162126,0.0033753116,0.0005712256,0.0013621323,0.0010910151,0.01981268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9683538,0.01796513,0.0017695712,0.0027461778,0.007952883,0.0012124991],"domain_scores_gemma":[0.8511833,0.11493903,0.0021671476,0.009676656,0.016926322,0.00510753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.047006052,0.00077674695,0.0015912584,0.0021953606,0.0046459124,0.020401014,0.006859522,0.0064174095,0.014462402],"category_scores_gemma":[0.11000706,0.0010554695,0.0012655581,0.003469919,0.013597555,0.05482295,0.010430513,0.017406352,0.0056346664],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056846253,0.00036042047,0.001265257,0.00060405827,0.000022524366,0.000073704476,0.0057827537,0.003914697,0.0007852534,0.79276186,0.031865906,0.16250661],"study_design_scores_gemma":[0.000019842633,0.00003214511,0.00014493008,0.00024106145,0.0000069494686,0.00009078423,0.006041012,0.009265614,0.0008429867,0.9136479,0.06964392,0.00002276762],"about_ca_topic_score_codex":0.0059674354,"about_ca_topic_score_gemma":0.0045582224,"teacher_disagreement_score":0.047006052,"about_ca_system_score_codex":0.0068814927,"about_ca_system_score_gemma":0.015544408,"threshold_uncertainty_score":0.24859476},"labels":[],"label_agreement":null},{"id":"W3026254752","doi":"","title":"Guides: Writing Resources: Citation Software","year":2017,"lang":"en","type":"libguides","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Citation; Software; Computer science; Software engineering; Data science; World Wide Web; Programming language","score_opus":0.05164851188166815,"score_gpt":0.29545845469460913,"score_spread":0.243809942812941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026254752","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010654164,0.0019603623,0.07134907,0.008781684,0.004572119,0.0019042958,0.08245197,0.0941373,0.7337778],"genre_scores_gemma":[0.0028531703,0.0026824404,0.06810577,0.0014698169,0.0011088772,0.0017539458,0.051012784,0.049581,0.82143223],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99245524,0.0012549488,0.0013232267,0.00046689092,0.0042539397,0.00024572024],"domain_scores_gemma":[0.92456645,0.022852693,0.0025834271,0.007039595,0.03987933,0.0030786004],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008247946,0.0015401827,0.0018286061,0.014757801,0.0029573531,0.011036853,0.0037347123,0.002447033,0.6457233],"category_scores_gemma":[0.07646231,0.0020137604,0.0009925223,0.019988313,0.0013749478,0.010636883,0.004788986,0.003473857,0.6690554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008583123,0.00001946316,0.00004438707,0.00020743744,0.0000016566752,0.000011710545,0.00012240944,0.00004249143,0.0001029286,0.0026913162,0.9396297,0.05711792],"study_design_scores_gemma":[0.0000074591994,0.0000069585094,0.00014942406,0.00019372479,0.0000024989502,0.000050891074,0.00009868098,0.00011152488,0.00016634997,0.002921112,0.9962727,0.000018654482],"about_ca_topic_score_codex":0.007253913,"about_ca_topic_score_gemma":0.014653166,"teacher_disagreement_score":0.9889631,"about_ca_system_score_codex":0.0023190107,"about_ca_system_score_gemma":0.009766831,"threshold_uncertainty_score":0.5053327},"labels":[],"label_agreement":null},{"id":"W3027132030","doi":"10.1007/978-3-030-62466-8_28","title":"The OpenCitations Data Model","year":2020,"lang":"en","type":"preprint","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Università di Bologna; Université de Montréal; Universiteit Leiden; Wellcome Trust","keywords":"Computer science; Ontology; Reuse; Variety (cybernetics); Reusability; Context (archaeology); Semantic Web; Information retrieval; Data model (GIS); Data science; World Wide Web; Data mining; Engineering; Artificial intelligence; Software; Programming language","score_opus":0.1031986247926079,"score_gpt":0.33195555881657074,"score_spread":0.22875693402396285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027132030","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054877694,0.0014246079,0.23945509,0.007822203,0.0011600509,0.0015495543,0.55171037,0.027515903,0.16387452],"genre_scores_gemma":[0.03917726,0.0022667903,0.14469242,0.002629658,0.00049444364,0.0033510223,0.7625347,0.004974861,0.03987898],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98868376,0.0019502713,0.0027748104,0.0016214302,0.004368292,0.0006015077],"domain_scores_gemma":[0.9702711,0.007094627,0.002349391,0.0094629405,0.009507528,0.0013144007],"candidate_categories":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007069092,0.0011331404,0.0013632572,0.016562983,0.0029068745,0.013794698,0.0056469105,0.003861032,0.038899403],"category_scores_gemma":[0.036742732,0.00095381116,0.0018928375,0.031564176,0.0017575835,0.014358582,0.006901034,0.0037679116,0.026925532],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023556432,0.00011666352,0.0040283287,0.0011950047,0.00010807974,0.0005206969,0.00088830024,0.008484332,0.00090869033,0.50286114,0.41613892,0.064514205],"study_design_scores_gemma":[0.000027007098,0.000009921058,0.00048367385,0.00015160297,0.000027818089,0.00014938432,0.0001355304,0.002896853,0.00060058484,0.043082505,0.95239234,0.000042787608],"about_ca_topic_score_codex":0.04774516,"about_ca_topic_score_gemma":0.03512357,"teacher_disagreement_score":0.9862053,"about_ca_system_score_codex":0.006758606,"about_ca_system_score_gemma":0.011904917,"threshold_uncertainty_score":0.13013142},"labels":[],"label_agreement":null},{"id":"W3028150595","doi":"10.1007/s00799-020-00286-4","title":"Introduction to the focused issue on the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries JCDL 2017","year":2020,"lang":"en","type":"article","venue":"International Journal on Digital Libraries","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Digital library; Joint (building); World Wide Web; Engineering","score_opus":0.07667170856385166,"score_gpt":0.26311983884178675,"score_spread":0.18644813027793508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028150595","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043059958,0.010258001,0.0024066372,0.102124915,0.8445217,0.00015190186,0.0011954411,0.0006014166,0.038309418],"genre_scores_gemma":[0.0038400912,0.014548145,0.0019957025,0.055671357,0.6445299,0.00033153177,0.0026761247,0.001589631,0.2748175],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954313,0.00060109515,0.00037079825,0.0005081266,0.0025445211,0.0005440789],"domain_scores_gemma":[0.97498477,0.005000388,0.0015343123,0.0011538771,0.011209264,0.0061173374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058381115,0.0017355318,0.0017045392,0.007905994,0.004411864,0.013876197,0.002088479,0.00591349,0.1704319],"category_scores_gemma":[0.019960484,0.00058603263,0.0013344315,0.0043692593,0.0024158934,0.009622594,0.0067042373,0.008381618,0.093172066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014877007,0.000017898417,0.00006491976,0.000096405536,0.0000019185734,0.000020165595,0.000021833921,0.000016746046,0.0001435448,0.0010392581,0.9879995,0.010562974],"study_design_scores_gemma":[0.0000052034225,0.000011166133,0.00022232074,0.00016779026,0.000004097407,0.00003802959,0.00006397112,0.00005788703,0.00009201568,0.0008000524,0.99852765,0.000009795117],"about_ca_topic_score_codex":0.003390763,"about_ca_topic_score_gemma":0.00924023,"teacher_disagreement_score":0.1704319,"about_ca_system_score_codex":0.0040133167,"about_ca_system_score_gemma":0.006726993,"threshold_uncertainty_score":0.5701515},"labels":[],"label_agreement":null},{"id":"W3028700001","doi":"10.3991/ijet.v15i10.13337","title":"Linked Open Data Framework for Ethnic Groups in Thailand Learning","year":2020,"lang":"en","type":"article","venue":"International Journal of Emerging Technologies in Learning (iJET)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Humanities Research Group, University of Windsor; Khon Kaen University","keywords":"Linked data; Ethnic group; Open data; Semantic Web; Computer science; World Wide Web; Key (lock); Knowledge management; Data science; Sociology; Computer security","score_opus":0.11773995368204795,"score_gpt":0.3886379530514962,"score_spread":0.27089799936944825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028700001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016191684,0.0007501935,0.89717734,0.004289242,0.00022475391,0.0011870085,0.012834518,0.0055933166,0.061751906],"genre_scores_gemma":[0.18124941,0.0012186149,0.7705021,0.00053296343,0.000071597795,0.0015734083,0.02260511,0.00062356726,0.02162327],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974234,0.0009761674,0.00043167593,0.00035229535,0.0006378247,0.00017856594],"domain_scores_gemma":[0.9983064,0.0004442304,0.00016704744,0.00033251147,0.00045668427,0.00029316422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035465204,0.0004758754,0.00041624723,0.00528759,0.0025361436,0.00771983,0.0017860306,0.0015378988,0.0049549304],"category_scores_gemma":[0.004744583,0.00032115873,0.0013101527,0.0072512524,0.0021098454,0.007135914,0.0068621496,0.0017770157,0.0014826045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064439526,0.00011184758,0.004148193,0.00050346274,0.00004361178,0.0013279328,0.010352495,0.008973566,0.0011291159,0.8763886,0.017998978,0.07895762],"study_design_scores_gemma":[0.000022235809,0.000029099869,0.0017932032,0.00049194787,0.000060437145,0.0007730427,0.009071445,0.041648038,0.0022218726,0.28821576,0.6555832,0.000089680165],"about_ca_topic_score_codex":0.03020531,"about_ca_topic_score_gemma":0.03211149,"teacher_disagreement_score":0.03020531,"about_ca_system_score_codex":0.0037890302,"about_ca_system_score_gemma":0.0075162738,"threshold_uncertainty_score":0.06005901},"labels":[],"label_agreement":null},{"id":"W3030860881","doi":"10.1109/icde48307.2020.00193","title":"Discovering Band Order Dependencies","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Semantics (computer science); Computer science; Monotonic function; Polynomial; Order (exchange); Time complexity; Data integrity; Algorithm; Theoretical computer science; Data mining; Programming language; Mathematics; Database","score_opus":0.03018934191394638,"score_gpt":0.2218142618308359,"score_spread":0.19162491991688954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030860881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10449531,0.0012983535,0.8666995,0.0011117136,0.00017485447,0.0003011973,0.009731162,0.003804605,0.0123832],"genre_scores_gemma":[0.51289403,0.0010301397,0.46380323,0.00054549525,0.00015213931,0.00034979297,0.014756452,0.0008016315,0.0056671356],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977337,0.00030394163,0.00020161422,0.0006443468,0.0007995841,0.00031678737],"domain_scores_gemma":[0.9931952,0.0029607557,0.00082255836,0.0017470499,0.0010178601,0.0002566451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012678403,0.001006669,0.001088862,0.0054293196,0.0018792562,0.0020584203,0.00144675,0.0011581469,0.003968221],"category_scores_gemma":[0.0122990245,0.0008856913,0.0014579584,0.004858116,0.0010925974,0.0061685294,0.0024225886,0.0020363815,0.0012984977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006650839,0.0005430607,0.054732967,0.0010033535,0.00026484262,0.0013567528,0.0014397699,0.11167841,0.016313924,0.2427126,0.05371179,0.51557744],"study_design_scores_gemma":[0.000040727853,0.0000744357,0.0061591514,0.00016212545,0.00013161826,0.0007904254,0.0006066682,0.46976787,0.011988812,0.4541133,0.056089755,0.00007519678],"about_ca_topic_score_codex":0.011055486,"about_ca_topic_score_gemma":0.020409578,"teacher_disagreement_score":0.011055486,"about_ca_system_score_codex":0.0015275752,"about_ca_system_score_gemma":0.003427556,"threshold_uncertainty_score":0.021982312},"labels":[],"label_agreement":null},{"id":"W3031636266","doi":"10.4403/jlis.it-12624","title":"Dentro i significati. L'utilità di un registro di ontologie nel settore dei beni culturali","year":2020,"lang":"it","type":"article","venue":"Università di Firenze - Italian Journal of Library and Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Regione Emilia-Romagna; Consiglio Nazionale delle Ricerche; Koninklijke Nederlandse Akademie van Wetenschappen; Àrainneachd Eachdraidheil Alba; U.S. National Library of Medicine; University of Alberta; Research Committee, Aristotle University of Thessaloniki; Norges Teknisk-Naturvitenskapelige Universitet; North Carolina State University","keywords":"Geography","score_opus":0.024054883418966163,"score_gpt":0.21571609294874158,"score_spread":0.19166120952977542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031636266","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05645034,0.011477395,0.23219551,0.043259334,0.0023613393,0.0002675041,0.0015861819,0.00060487306,0.6517975],"genre_scores_gemma":[0.7195889,0.012783945,0.10040825,0.008079324,0.001230769,0.000533861,0.001530831,0.0009220921,0.15492204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99345857,0.002567106,0.00036657474,0.0013314288,0.0018651014,0.00041126902],"domain_scores_gemma":[0.99236697,0.002476623,0.0006145656,0.002407871,0.0017582255,0.0003756306],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005299569,0.000737612,0.0004261449,0.002755884,0.0033819457,0.014555359,0.0011365034,0.002084845,0.011966401],"category_scores_gemma":[0.0133553175,0.00052642566,0.00095026987,0.0033341218,0.012031353,0.015433201,0.008050092,0.0037127836,0.0024050234],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003391873,0.000029999392,0.0029455451,0.00036917883,0.00002932976,0.00023835024,0.018374704,0.0003831238,0.0015839883,0.91847014,0.005944311,0.051597517],"study_design_scores_gemma":[0.000008999871,0.000031240048,0.004503059,0.00071540556,0.000047627665,0.0005644098,0.017624168,0.0011222451,0.0024651652,0.38968,0.58316815,0.00006953324],"about_ca_topic_score_codex":0.009132072,"about_ca_topic_score_gemma":0.009133902,"teacher_disagreement_score":0.98544466,"about_ca_system_score_codex":0.0039321394,"about_ca_system_score_gemma":0.0053788093,"threshold_uncertainty_score":0.040031612},"labels":[],"label_agreement":null},{"id":"W3031669116","doi":"10.29085/9781856049740.005","title":"Task-based information searching and retrieval","year":2018,"lang":"en","type":"book-chapter","venue":"Facet eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Task (project management); Information retrieval; Computer science; Set (abstract data type); Cognitive models of information retrieval; Service (business); Word (group theory); Information needs; Information system; Human–computer information retrieval; World Wide Web; Search engine; Engineering; Mathematics","score_opus":0.02198431264068819,"score_gpt":0.23417857812161663,"score_spread":0.21219426548092846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031669116","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060172365,0.0404656,0.6094725,0.0074102646,0.0014118439,0.0008861316,0.0015151044,0.004600833,0.32822055],"genre_scores_gemma":[0.15217932,0.050283626,0.6153564,0.0033665183,0.0014817744,0.0011453088,0.00635232,0.0014649659,0.16836986],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966252,0.0010225762,0.00029041016,0.00052695494,0.0013415974,0.00019337812],"domain_scores_gemma":[0.9963559,0.0018756944,0.00014688098,0.000887326,0.0005583639,0.00017582807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036085013,0.0011328884,0.0013026772,0.005089102,0.0014539204,0.010013022,0.0031593614,0.002558015,0.027054312],"category_scores_gemma":[0.009847745,0.00052620366,0.0011805496,0.008387656,0.002649742,0.010384648,0.004320473,0.0014981249,0.019480286],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009036608,0.00011676454,0.00040617047,0.002016213,0.00005943315,0.00010764427,0.0014501458,0.0041259844,0.0030141193,0.2262149,0.09581152,0.6665867],"study_design_scores_gemma":[0.00003831792,0.00008581551,0.00091104925,0.00064926955,0.000048888185,0.0004254872,0.000978671,0.023197059,0.003257702,0.33694342,0.6333738,0.00009045384],"about_ca_topic_score_codex":0.0029282505,"about_ca_topic_score_gemma":0.0026751666,"teacher_disagreement_score":0.027054312,"about_ca_system_score_codex":0.0022745025,"about_ca_system_score_gemma":0.0027418113,"threshold_uncertainty_score":0.09050566},"labels":[],"label_agreement":null},{"id":"W3032504444","doi":"","title":"PhonBank and Data Sharing: Recent Developments in European Portuguese","year":2020,"lang":"en","type":"article","venue":"Language Resources and Evaluation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Portuguese; Computer science; Data sharing; Data science","score_opus":0.12966803402925817,"score_gpt":0.3399750691332857,"score_spread":0.2103070351040275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032504444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33730525,0.04050773,0.31568593,0.032345742,0.002291256,0.0017633416,0.05358126,0.013898629,0.20262095],"genre_scores_gemma":[0.63975495,0.01731842,0.22594802,0.002528122,0.00082177174,0.0012169869,0.08412026,0.005927137,0.022364337],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9744207,0.010253475,0.0031890247,0.0040387856,0.007047218,0.0010507241],"domain_scores_gemma":[0.9431267,0.02833678,0.0040474725,0.01155917,0.010362463,0.0025674528],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.046494503,0.00095110683,0.0014100012,0.0112708025,0.002868735,0.010721847,0.0036663795,0.0023057603,0.007652842],"category_scores_gemma":[0.061636083,0.0006788203,0.00083254307,0.022228919,0.004384232,0.01909598,0.0076539824,0.0017270212,0.0020270552],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018287019,0.00070662407,0.027897835,0.004440672,0.00035413023,0.00075133773,0.01117286,0.005210933,0.007031627,0.16793352,0.046196282,0.7264754],"study_design_scores_gemma":[0.0002753717,0.00036001284,0.059779733,0.004016492,0.0006083522,0.0013384126,0.013071622,0.02074573,0.020146083,0.084004186,0.79531866,0.00033525698],"about_ca_topic_score_codex":0.021392703,"about_ca_topic_score_gemma":0.012409664,"teacher_disagreement_score":0.9963336,"about_ca_system_score_codex":0.005165192,"about_ca_system_score_gemma":0.012260617,"threshold_uncertainty_score":0.24588937},"labels":[],"label_agreement":null},{"id":"W3032677642","doi":"","title":"Ontology Matching Using Convolutional Neural Networks","year":2020,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Convolutional neural network; Ontology; Matching (statistics); Artificial intelligence; Ontology alignment; Natural language processing; Information retrieval; Upper ontology; Semantic Web; Mathematics","score_opus":0.02659557028693389,"score_gpt":0.23427093417226896,"score_spread":0.20767536388533508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032677642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09720037,0.0022537238,0.876696,0.0007788156,0.00040104217,0.00023533258,0.0022959663,0.009067803,0.01107088],"genre_scores_gemma":[0.6819758,0.0013153143,0.28959715,0.0005107433,0.00011404388,0.00011471297,0.0099092545,0.0005305149,0.015932512],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991518,0.00008286892,0.00007136475,0.00031858953,0.00022410294,0.00015117199],"domain_scores_gemma":[0.99903405,0.00031182985,0.00009252374,0.00025980195,0.00024772776,0.00005407315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008545678,0.0007274238,0.00091520214,0.002933293,0.0007170082,0.0018996259,0.0014352868,0.0013633819,0.004947209],"category_scores_gemma":[0.0033163955,0.00055561017,0.0013676683,0.002508183,0.00038498914,0.0029825894,0.0017202974,0.0012156715,0.0020010036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049133814,0.00041002425,0.005219164,0.0002743041,0.0003329367,0.0003055409,0.00011555602,0.07437024,0.015183064,0.019564087,0.017771808,0.86596185],"study_design_scores_gemma":[0.000023330987,0.000036777605,0.0014395054,0.00005338632,0.00009513066,0.00010670927,0.00007313891,0.94325846,0.011662168,0.035923183,0.0073079267,0.000020232112],"about_ca_topic_score_codex":0.02932886,"about_ca_topic_score_gemma":0.040152878,"teacher_disagreement_score":0.02932886,"about_ca_system_score_codex":0.0016469031,"about_ca_system_score_gemma":0.001967767,"threshold_uncertainty_score":0.05831629},"labels":[],"label_agreement":null},{"id":"W3037550867","doi":"10.1016/j.datak.2013.01.001","title":"Diamond dicing","year":2013,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; University of New Brunswick","funders":"","keywords":"Wafer dicing; Materials science; Nanotechnology; Wafer","score_opus":0.030581411111876202,"score_gpt":0.24660457927354787,"score_spread":0.21602316816167166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037550867","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009290629,0.0015022578,0.19704567,0.0026010347,0.005889241,0.0004514878,0.0025633178,0.0074154837,0.77324086],"genre_scores_gemma":[0.12299487,0.0017167914,0.29232666,0.002030158,0.0008671508,0.00040565035,0.005145384,0.003731426,0.57078195],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988838,0.00006633622,0.000054007556,0.00021962398,0.00067019963,0.00010598598],"domain_scores_gemma":[0.9986926,0.00017315696,0.00004374784,0.00042160874,0.00055084884,0.00011808302],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006719115,0.00084911095,0.0008076594,0.0029982275,0.0020398253,0.0021260483,0.001552524,0.0013744248,0.20764938],"category_scores_gemma":[0.0025494013,0.00053173036,0.0007107699,0.001831517,0.0008522142,0.0017469758,0.0025143141,0.002190732,0.05262961],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027884232,0.00006525256,0.0005593763,0.00043760665,0.000025720625,0.0005022361,0.0002091069,0.002620682,0.015561314,0.1736902,0.31908306,0.48696664],"study_design_scores_gemma":[0.000042517353,0.000058465328,0.00030320985,0.00007672168,0.000013328223,0.00067018456,0.00012596334,0.0045292736,0.011158597,0.02757488,0.9554117,0.000035184108],"about_ca_topic_score_codex":0.0015458968,"about_ca_topic_score_gemma":0.002550814,"teacher_disagreement_score":0.79235065,"about_ca_system_score_codex":0.0007051152,"about_ca_system_score_gemma":0.0013349742,"threshold_uncertainty_score":0.6946564},"labels":[],"label_agreement":null},{"id":"W3037902891","doi":"10.29085/9781856049764.004","title":"Metadata and crowdsourced data for access and interaction in digitallibrary user interfaces","year":2018,"lang":"en","type":"book-chapter","venue":"Facet eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; Interoperability; Computer science; Digital library; World Wide Web; Geospatial metadata; Semantic interoperability; Metadata repository; Meta Data Services; Variety (cybernetics); Information retrieval","score_opus":0.1311173663475163,"score_gpt":0.325973470003409,"score_spread":0.19485610365589268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037902891","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008703575,0.05325761,0.19879192,0.010893776,0.002223353,0.00037302484,0.0012112613,0.0023265944,0.72221893],"genre_scores_gemma":[0.16493697,0.06438679,0.2452605,0.0044539096,0.0017685452,0.001204199,0.003518115,0.002608357,0.5118625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773645,0.00067877705,0.00013002848,0.0002565718,0.0010825223,0.00011571118],"domain_scores_gemma":[0.9980572,0.0012960305,0.000038458198,0.0003346005,0.00020780198,0.0000658652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024298977,0.0006032294,0.00067511835,0.0032488974,0.0019427856,0.008096464,0.002097607,0.0021131851,0.020541647],"category_scores_gemma":[0.0054329797,0.0003835257,0.0007146397,0.0060320236,0.0031395124,0.011092422,0.0060793515,0.0014867738,0.006370853],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038113558,0.000035513545,0.00036142278,0.0013345749,0.000022517126,0.00022185344,0.009632593,0.0013279761,0.001290794,0.4252299,0.09896803,0.4615367],"study_design_scores_gemma":[0.0000058862543,0.000008673574,0.0004082124,0.0009525227,0.000009550008,0.00016445955,0.0023180528,0.0017646485,0.0007424861,0.14200781,0.8515939,0.000023788052],"about_ca_topic_score_codex":0.004712953,"about_ca_topic_score_gemma":0.008151813,"teacher_disagreement_score":0.020541647,"about_ca_system_score_codex":0.0029091283,"about_ca_system_score_gemma":0.0021141183,"threshold_uncertainty_score":0.06871861},"labels":[],"label_agreement":null},{"id":"W3043748577","doi":"10.1007/s13218-020-00666-7","title":"Using Feature-Based Description Logics to avoid Duplicate Elimination in Object-Relational Query Languages","year":2020,"lang":"en","type":"article","venue":"KI - Künstliche Intelligenz","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conjunctive query; Computer science; Schema (genetic algorithms); P; EXPTIME; Description logic; Theoretical computer science; Query language; Inference; Relational database; Feature (linguistics); Programming language; Boolean conjunctive query; Information retrieval; Time complexity; Algorithm; Artificial intelligence; Computational complexity theory; Sargable; PSPACE; Web search query; Linguistics","score_opus":0.13497759540689253,"score_gpt":0.3224946006857382,"score_spread":0.18751700527884568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043748577","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01152244,0.00023392442,0.98557705,0.00040840256,0.000049922128,0.00007672628,0.00017435355,0.0011821876,0.0007749505],"genre_scores_gemma":[0.2703532,0.00042280168,0.7237743,0.0006661901,0.00009052985,0.00018082788,0.0010955811,0.00075363286,0.00266292],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9853705,0.004030807,0.002032971,0.0016277452,0.0060747564,0.0008632113],"domain_scores_gemma":[0.9716352,0.01568782,0.001752959,0.0072716535,0.0032518334,0.00040046553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012555267,0.00078525953,0.0016323428,0.0026141552,0.0017461277,0.005745469,0.0045127817,0.0017924962,0.0020648914],"category_scores_gemma":[0.03320238,0.0014910224,0.0030461983,0.003109919,0.0032950898,0.016373992,0.0062560076,0.0037781603,0.00062624994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000679143,0.00030871402,0.0032611925,0.0006982715,0.00044153165,0.0008309016,0.0019469812,0.06291591,0.010281654,0.6380431,0.0065453905,0.27404726],"study_design_scores_gemma":[0.00010955295,0.000092999704,0.0002714934,0.00013441501,0.000343582,0.00034508924,0.00036305343,0.3288449,0.021649698,0.6364072,0.011297893,0.0001400923],"about_ca_topic_score_codex":0.006641229,"about_ca_topic_score_gemma":0.008174886,"teacher_disagreement_score":0.012555267,"about_ca_system_score_codex":0.002345307,"about_ca_system_score_gemma":0.0037154038,"threshold_uncertainty_score":0.066399395},"labels":[],"label_agreement":null},{"id":"W3047104020","doi":"10.48550/arxiv.2008.01208","title":"Knowledge Translation: Extended Technical Report","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Translation (biology); Computer science; Natural language processing; Chemistry","score_opus":0.2107195959326425,"score_gpt":0.24201996422377595,"score_spread":0.031300368291133446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047104020","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00570616,0.0052380525,0.580957,0.012045904,0.006987211,0.0013910114,0.044635024,0.03577805,0.30726162],"genre_scores_gemma":[0.044950377,0.007864651,0.42209977,0.0036407406,0.0029513827,0.0014033801,0.1981632,0.01449522,0.30443132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946615,0.0010874724,0.0006797665,0.0010186317,0.0021556166,0.00039698294],"domain_scores_gemma":[0.9888327,0.002262436,0.00044501093,0.0039374703,0.00401584,0.00050652295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00587566,0.001897107,0.0008426388,0.006523139,0.0016154904,0.0068599237,0.0027710542,0.002076205,0.17817913],"category_scores_gemma":[0.019643089,0.0011344705,0.0017727182,0.009205833,0.0010279792,0.009288469,0.006386387,0.0027120977,0.14140812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011855075,0.00023288425,0.0012518249,0.0010462482,0.000081397266,0.00084718945,0.0007138774,0.0022513042,0.0030633113,0.08925056,0.49827582,0.402867],"study_design_scores_gemma":[0.00002294849,0.000028713885,0.00062863005,0.0002490195,0.000025844407,0.00066483975,0.000179399,0.0031605389,0.0033446522,0.028687166,0.9629628,0.000045384524],"about_ca_topic_score_codex":0.006614296,"about_ca_topic_score_gemma":0.0042895805,"teacher_disagreement_score":0.17817913,"about_ca_system_score_codex":0.002207479,"about_ca_system_score_gemma":0.0038547902,"threshold_uncertainty_score":0.59606856},"labels":[],"label_agreement":null},{"id":"W3047519683","doi":"10.48336/kbz2-sv47","title":"Attribute lattice: a graph-based conceptual modeling grammar for heterogeneous data","year":2021,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Natural language processing; Theoretical computer science; Artificial intelligence; Information retrieval","score_opus":0.10124824947840473,"score_gpt":0.31153163176886167,"score_spread":0.21028338229045695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047519683","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027068178,0.00016370845,0.98965037,0.001155361,0.00011876741,0.00016178483,0.00061936607,0.0006684813,0.0047553885],"genre_scores_gemma":[0.08547711,0.0005621556,0.9059202,0.00075814873,0.00012214866,0.00088878354,0.0019354235,0.00041023493,0.003925796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99708647,0.0011209223,0.0003327195,0.00066266616,0.0006352531,0.00016203767],"domain_scores_gemma":[0.9969688,0.0015082222,0.00023285435,0.00052802544,0.0005650178,0.00019709412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040366584,0.0008882386,0.0010031526,0.0028147988,0.0023415822,0.0049716127,0.0027614145,0.0020613875,0.004687739],"category_scores_gemma":[0.0067343726,0.00089276955,0.0038373547,0.0031576755,0.005012902,0.00926722,0.0035461735,0.0039192312,0.0012900131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011808107,0.000015389576,0.00015632098,0.000043885746,0.000011839997,0.00012148624,0.0007378249,0.0059467577,0.00033580713,0.9809645,0.002424192,0.009230119],"study_design_scores_gemma":[0.000020516994,0.00001550096,0.00006975149,0.000060920716,0.000021188855,0.00018567468,0.00021161098,0.04858862,0.00043793034,0.91105866,0.039293997,0.000035549285],"about_ca_topic_score_codex":0.013354854,"about_ca_topic_score_gemma":0.009909341,"teacher_disagreement_score":0.013354854,"about_ca_system_score_codex":0.0033040754,"about_ca_system_score_gemma":0.004868408,"threshold_uncertainty_score":0.026554286},"labels":[],"label_agreement":null},{"id":"W3048160908","doi":"10.69554/qpbq3248","title":"Reasoning about unstructured data de-identification","year":2020,"lang":"en","type":"article","venue":"Journal of data protection & privacy.","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unstructured data; Identification (biology); Computer science; Data mining; Big data; Biology","score_opus":0.14403689522518626,"score_gpt":0.3265463087389853,"score_spread":0.18250941351379907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048160908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019551262,0.0006452841,0.9691766,0.00604035,0.00015078504,0.00022200414,0.0017669061,0.00051551685,0.0019314203],"genre_scores_gemma":[0.35864434,0.0013360676,0.6269293,0.0021924474,0.0007163307,0.0005353572,0.006714166,0.000211157,0.002720786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95892054,0.014325474,0.004288958,0.006957465,0.013896768,0.0016106603],"domain_scores_gemma":[0.7574397,0.18756552,0.018759727,0.024638219,0.010175448,0.0014214438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030085318,0.00137049,0.0018746512,0.006555089,0.0033408124,0.008867201,0.0047346833,0.004502629,0.0016531559],"category_scores_gemma":[0.14199,0.0016671069,0.0029588817,0.006612348,0.005476108,0.025208265,0.008103885,0.0065905526,0.0005514391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037464,0.0002704067,0.021616424,0.0013350635,0.0006092387,0.005734085,0.0049108854,0.16883582,0.0034353398,0.6453401,0.013796638,0.1337413],"study_design_scores_gemma":[0.000023768798,0.000026671225,0.00085955113,0.00024003486,0.000078666846,0.0011501714,0.0008776996,0.22112696,0.003718928,0.7600884,0.011747395,0.000061817365],"about_ca_topic_score_codex":0.0039695483,"about_ca_topic_score_gemma":0.004110037,"teacher_disagreement_score":0.030085318,"about_ca_system_score_codex":0.002956764,"about_ca_system_score_gemma":0.0025215226,"threshold_uncertainty_score":0.15910822},"labels":[],"label_agreement":null},{"id":"W3048336805","doi":"10.13140/rg.2.2.27553.43368","title":"An Energy Ontology for Global City Indicators (ISO 37120)","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Theme (computing); Representation (politics); Energy (signal processing); Data science; Semantic Web; Knowledge management; Information retrieval; World Wide Web; Political science; Mathematics; Statistics; Epistemology","score_opus":0.08589460262275962,"score_gpt":0.2310066732468338,"score_spread":0.14511207062407416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048336805","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013318872,0.000890198,0.8713736,0.004572529,0.0011519337,0.0010060845,0.01616905,0.0029844115,0.088533364],"genre_scores_gemma":[0.1211473,0.0027378506,0.8188483,0.0019334946,0.0002731801,0.0020277523,0.034239173,0.0011748731,0.01761801],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99585885,0.0008442209,0.0006840316,0.00043983659,0.0018648753,0.00030818375],"domain_scores_gemma":[0.99795985,0.0004548611,0.00023790052,0.00038420156,0.0008189354,0.00014415421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042375247,0.0006602259,0.00066651835,0.0053347577,0.0019106305,0.00503935,0.0015423989,0.0022334324,0.0028497525],"category_scores_gemma":[0.0068535046,0.0005731013,0.0016076441,0.008413276,0.0020997091,0.007565052,0.00295318,0.0032514527,0.0014926448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036997673,0.0000990095,0.0012378603,0.00040497378,0.000032093292,0.00020191139,0.0018300626,0.0038844591,0.0023003228,0.88366693,0.038716517,0.06758887],"study_design_scores_gemma":[0.00002136079,0.00002145141,0.0016792166,0.00037519183,0.00003649763,0.00033263414,0.0010219582,0.010604529,0.0016266914,0.20267381,0.7815481,0.000058524518],"about_ca_topic_score_codex":0.026048284,"about_ca_topic_score_gemma":0.021473927,"teacher_disagreement_score":0.026048284,"about_ca_system_score_codex":0.003590933,"about_ca_system_score_gemma":0.011287482,"threshold_uncertainty_score":0.051793337},"labels":[],"label_agreement":null},{"id":"W3057900685","doi":"10.1007/978-3-030-57977-7_8","title":"Invertible Bidirectional Metalogical Translation Between Prolog and RuleML for Knowledge Representation and Querying","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Programming language; Prolog; XML; Natural language processing; Artificial intelligence; SGML; Streaming XML; World Wide Web","score_opus":0.08378794783684153,"score_gpt":0.30322450460847056,"score_spread":0.21943655677162904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3057900685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031403382,0.00020516533,0.97825783,0.00033874245,0.00016819593,0.00011196927,0.0005577174,0.005777104,0.011443007],"genre_scores_gemma":[0.10370208,0.0004966048,0.8763926,0.0004422752,0.00014377269,0.00027155288,0.002710441,0.0026714266,0.013169251],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978461,0.0006225229,0.00026971792,0.00038985367,0.00069587736,0.00017601415],"domain_scores_gemma":[0.9978619,0.0009270383,0.0000874951,0.0006736013,0.00040235964,0.000047572525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019185625,0.00054475537,0.000668819,0.0012649653,0.0008092753,0.0034276766,0.0017048969,0.00094917003,0.012308789],"category_scores_gemma":[0.005224793,0.0008342953,0.0014639971,0.0015028451,0.0016533155,0.0042119464,0.00333458,0.0027413447,0.0069420463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017176487,0.00018830961,0.00029221378,0.0005375036,0.00005774742,0.00040970693,0.00085118494,0.0071805622,0.010893599,0.69524366,0.021040658,0.26313314],"study_design_scores_gemma":[0.000074616226,0.00007172262,0.0002791569,0.00022672559,0.00011029088,0.00052916654,0.00032759548,0.09380805,0.04799633,0.6555473,0.20094377,0.000085273656],"about_ca_topic_score_codex":0.0020381836,"about_ca_topic_score_gemma":0.0022804162,"teacher_disagreement_score":0.012308789,"about_ca_system_score_codex":0.0010124771,"about_ca_system_score_gemma":0.0020448694,"threshold_uncertainty_score":0.041176975},"labels":[],"label_agreement":null},{"id":"W30637911","doi":"10.3233/978-1-60750-588-4-1104","title":"Ontology Based Modeling and Execution of Nursing Care Plans and Practice Guidelines","year":2010,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ontology; Computer science; Set (abstract data type); Nursing care; Nursing; Knowledge base; Nursing Minimum Data Set; Patient care; Software engineering; Nursing Outcomes Classification; Knowledge management; Medicine; Nursing research; Artificial intelligence; Programming language; Team nursing","score_opus":0.1146985311265196,"score_gpt":0.4363311002580559,"score_spread":0.32163256913153626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W30637911","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020328894,0.00022182167,0.9646193,0.00090776646,0.00006959795,0.00083332876,0.0019766283,0.00238409,0.008658615],"genre_scores_gemma":[0.12757179,0.00050300796,0.8643015,0.00017711797,0.00001679809,0.0007648772,0.004344733,0.00018672986,0.0021334353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972818,0.00089420856,0.00043188533,0.00026708856,0.0009892097,0.00013577615],"domain_scores_gemma":[0.9963568,0.0019283688,0.00038437208,0.00057455193,0.000656691,0.000099163015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003151653,0.0006051908,0.00043410546,0.0020672067,0.00093954726,0.0029036992,0.0016229221,0.00093130005,0.0018225531],"category_scores_gemma":[0.0087277265,0.0005787378,0.0016075424,0.0018444686,0.00089060643,0.002543781,0.0012489555,0.0012791698,0.0004299179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021638437,0.00062402704,0.0083676,0.0009297527,0.00033874158,0.0011495119,0.0041611306,0.43586078,0.008315022,0.30020827,0.01208861,0.22774015],"study_design_scores_gemma":[0.000079002886,0.000053638847,0.0015763388,0.00027790616,0.00015644856,0.00028463683,0.00067102327,0.8416331,0.007781702,0.08350799,0.06391516,0.00006315351],"about_ca_topic_score_codex":0.039981976,"about_ca_topic_score_gemma":0.046028823,"teacher_disagreement_score":0.039981976,"about_ca_system_score_codex":0.002387709,"about_ca_system_score_gemma":0.0054931464,"threshold_uncertainty_score":0.07949847},"labels":[],"label_agreement":null},{"id":"W3071869045","doi":"10.1007/978-3-030-57977-7_10","title":"Distributed Reasoning for Restricted Weakly-Linear Disjunctive Tuple-Generating Dependencies","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tuple; Computer science; Datalog; Class (philosophy); Ontology; Theoretical computer science; Benchmark (surveying); Artificial intelligence; Discrete mathematics; Mathematics","score_opus":0.0271185916498816,"score_gpt":0.25720296923358105,"score_spread":0.23008437758369946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3071869045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02163673,0.00019327596,0.97278565,0.00031359252,0.000035827616,0.00009694199,0.00032907308,0.001472372,0.0031364025],"genre_scores_gemma":[0.43945456,0.00026696772,0.5529409,0.0001830274,0.00009941683,0.00020542968,0.001958332,0.0003677897,0.004523546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954581,0.0013880944,0.00038567666,0.0010647873,0.0013379627,0.0003653455],"domain_scores_gemma":[0.98175174,0.014025735,0.0004515637,0.0026158616,0.0008989024,0.00025620937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044993176,0.0008584707,0.0014306845,0.0013517046,0.0015772532,0.0035170205,0.0045751194,0.0015759689,0.006291631],"category_scores_gemma":[0.019159,0.0011400849,0.002588878,0.0020421653,0.0021341941,0.009807617,0.0051396624,0.003231919,0.0009089715],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010085985,0.0005863096,0.00317542,0.0009197751,0.00031701778,0.0010324434,0.0011484377,0.37097743,0.008562878,0.32512915,0.010879544,0.276263],"study_design_scores_gemma":[0.000054751792,0.00002301026,0.00014162502,0.000022320373,0.000053428055,0.00012708837,0.00010171219,0.7323814,0.0044146157,0.26109627,0.0015665664,0.00001722886],"about_ca_topic_score_codex":0.0042522647,"about_ca_topic_score_gemma":0.0071708127,"teacher_disagreement_score":0.006291631,"about_ca_system_score_codex":0.0020289633,"about_ca_system_score_gemma":0.0015061429,"threshold_uncertainty_score":0.023794949},"labels":[],"label_agreement":null},{"id":"W3081394861","doi":"10.1016/j.knosys.2020.106403","title":"Contelog: A declarative language for modeling and reasoning with contextual knowledge","year":2020,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Datalog; Context (archaeology); Domain knowledge; Semantics (computer science); Knowledge management; Contextual design; Artificial intelligence; Human–computer interaction; Programming language","score_opus":0.04974605378578698,"score_gpt":0.28535108299598383,"score_spread":0.23560502921019685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081394861","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014287644,0.00031811727,0.9664768,0.00054060336,0.000157138,0.00022855033,0.0053849216,0.02074396,0.004721074],"genre_scores_gemma":[0.05840628,0.0013622766,0.8991679,0.0011270628,0.00020527678,0.0008635155,0.022711266,0.0055766767,0.010579852],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998176,0.00042859316,0.0002935576,0.00029514648,0.0006614886,0.00014521544],"domain_scores_gemma":[0.9961008,0.0019966976,0.00021936012,0.00083364465,0.00067305856,0.0001765207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027965633,0.0013488998,0.0011388584,0.0025302519,0.0014743066,0.0064803986,0.0045283027,0.0019433117,0.012748919],"category_scores_gemma":[0.008794213,0.001979259,0.002366474,0.0023860035,0.0016591398,0.010320094,0.0038161667,0.0036652596,0.0041112253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045662295,0.00024872716,0.0027540831,0.0020477239,0.00024980534,0.00085417816,0.0018710839,0.03160856,0.0061890534,0.59708506,0.15840073,0.19823438],"study_design_scores_gemma":[0.00011873992,0.00004967531,0.00040135765,0.0005711884,0.00020875227,0.00053843076,0.00036677858,0.16844083,0.010220845,0.33660042,0.4823392,0.00014370312],"about_ca_topic_score_codex":0.016223567,"about_ca_topic_score_gemma":0.030209452,"teacher_disagreement_score":0.016223567,"about_ca_system_score_codex":0.0014311213,"about_ca_system_score_gemma":0.0054618125,"threshold_uncertainty_score":0.04264939},"labels":[],"label_agreement":null},{"id":"W3081834593","doi":"10.1002/cjce.23873","title":"An ontology‐based procedure knowledge framework for the process industry","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Ontology; Computer science; Process (computing); Domain knowledge; Scheduling (production processes); Domain (mathematical analysis); Artificial intelligence; Engineering; Operations management","score_opus":0.026392491839338006,"score_gpt":0.26431973552776994,"score_spread":0.23792724368843193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081834593","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074112173,0.00025806768,0.97761077,0.00090460817,0.00006205827,0.00048371125,0.00053897884,0.0008319276,0.0118985865],"genre_scores_gemma":[0.14477964,0.00060970435,0.84960747,0.00022705077,0.000046402776,0.00063146575,0.001531362,0.0001192366,0.0024475842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99801445,0.00055304,0.00029968953,0.00037175266,0.0005711632,0.00018984299],"domain_scores_gemma":[0.99826473,0.00054760434,0.00021469868,0.00040670868,0.0004272127,0.00013908918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002692458,0.00081807113,0.0005618248,0.0059038945,0.002297338,0.0045249895,0.0023435047,0.0018475545,0.0025788355],"category_scores_gemma":[0.0035087848,0.00061481725,0.0029058147,0.0043785516,0.0032229333,0.008524653,0.002788486,0.0022367248,0.00064514455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022826145,0.00014576342,0.0010580599,0.00019258412,0.000049372225,0.00056555006,0.0011373783,0.036240797,0.0014864451,0.9091837,0.002763186,0.047154285],"study_design_scores_gemma":[0.0000456392,0.00006819256,0.0012885142,0.00048795558,0.00011624087,0.0006544043,0.001553938,0.33312362,0.0022400909,0.54113775,0.11918562,0.00009809891],"about_ca_topic_score_codex":0.046526838,"about_ca_topic_score_gemma":0.035082184,"teacher_disagreement_score":0.046526838,"about_ca_system_score_codex":0.003704795,"about_ca_system_score_gemma":0.00785541,"threshold_uncertainty_score":0.09251207},"labels":[],"label_agreement":null},{"id":"W3086023408","doi":"10.1109/iri49571.2020.00064","title":"NLP Relational Queries and Its Application","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Artificial intelligence; Relational database; Natural language processing; Flexibility (engineering); Information retrieval; Relational model","score_opus":0.03516456261650382,"score_gpt":0.23654855651213516,"score_spread":0.20138399389563133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086023408","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008329913,0.0022217878,0.96398133,0.004688904,0.00013016048,0.00018509399,0.003236239,0.004684719,0.012541854],"genre_scores_gemma":[0.24839509,0.004610294,0.7300214,0.0014797212,0.0006347554,0.0005122898,0.008270052,0.0012836104,0.0047928775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9896203,0.0035339203,0.0011676231,0.0020286543,0.003415225,0.00023438486],"domain_scores_gemma":[0.9851687,0.009079339,0.00064317737,0.003100352,0.0017189381,0.0002893926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072344244,0.00091833394,0.0010717568,0.00429729,0.0013034734,0.006801699,0.002106903,0.0015374976,0.0054995846],"category_scores_gemma":[0.02568237,0.0007383628,0.0015516217,0.008295948,0.002758269,0.010253904,0.005300595,0.0024555076,0.0023203692],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012010945,0.00010496252,0.002474049,0.000633105,0.000090274516,0.0006000704,0.0022602726,0.024551196,0.0044918493,0.7751708,0.019031486,0.17047179],"study_design_scores_gemma":[0.000019199892,0.000023468468,0.00067265297,0.00011756155,0.00003369917,0.0005629659,0.0007274038,0.20265657,0.004423701,0.6934248,0.09728221,0.000055750555],"about_ca_topic_score_codex":0.006041563,"about_ca_topic_score_gemma":0.0029692168,"teacher_disagreement_score":0.0072344244,"about_ca_system_score_codex":0.0020470258,"about_ca_system_score_gemma":0.0015215143,"threshold_uncertainty_score":0.038259745},"labels":[],"label_agreement":null},{"id":"W3086973390","doi":"10.14778/3407790.3407858","title":"ATHENA++","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Benchmark (surveying); SQL; Query language; Set (abstract data type); Ontology; Nesting (process); Information retrieval; Programming language; Database","score_opus":0.02196695787347267,"score_gpt":0.2013119211773401,"score_spread":0.17934496330386743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086973390","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01528395,0.0040659504,0.13688295,0.0019896338,0.0013467523,0.0011538768,0.07498315,0.5763773,0.18791655],"genre_scores_gemma":[0.09201,0.0030871811,0.31934872,0.0049300375,0.00048756428,0.0022893092,0.36436057,0.06311218,0.15037444],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970306,0.00039749115,0.00031513246,0.000873029,0.0011697776,0.00021398404],"domain_scores_gemma":[0.99711907,0.0006264152,0.00014444433,0.0012656469,0.0006358124,0.00020860574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015518425,0.0021075136,0.00136211,0.0022696112,0.0009962237,0.0044534444,0.00505697,0.0016990846,0.0873169],"category_scores_gemma":[0.0077642747,0.0013739818,0.0017210968,0.0022971195,0.0007891611,0.005833715,0.005592319,0.0026945446,0.1187564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011327858,0.00024863816,0.0019826782,0.0014260635,0.00014785609,0.00044632197,0.00028616548,0.0028438242,0.009013368,0.018718738,0.7188429,0.2449107],"study_design_scores_gemma":[0.00024798786,0.00016693986,0.0015737526,0.00016125248,0.00005399438,0.0006902448,0.00007374149,0.015274426,0.0117131015,0.014830957,0.9550999,0.00011365261],"about_ca_topic_score_codex":0.004418154,"about_ca_topic_score_gemma":0.004405217,"teacher_disagreement_score":0.0873169,"about_ca_system_score_codex":0.0010518609,"about_ca_system_score_gemma":0.0017062129,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3087853503","doi":"10.1007/978-3-030-59137-3_39","title":"A CIG Integration Framework to Provide Decision Support for Comorbid Conditions Using Transaction-Based Semantics and Temporal Planning","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Semantics (computer science); Database transaction; A priori and a posteriori; Medical diagnosis; SNOMED CT; Comorbidity; System integration; Artificial intelligence; Machine learning; Programming language; Database; Medicine","score_opus":0.04450801603922365,"score_gpt":0.314975447369897,"score_spread":0.27046743133067336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087853503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031168016,0.00030468317,0.9708208,0.00025144668,0.00013479179,0.0002316999,0.0009334488,0.015220965,0.008985372],"genre_scores_gemma":[0.08641748,0.000436931,0.9022596,0.0002933125,0.000076216034,0.00026863685,0.0028409187,0.0012854633,0.006121492],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878365,0.00019745233,0.0001720985,0.00024457704,0.00046754148,0.00013471695],"domain_scores_gemma":[0.99862456,0.00045449994,0.00007655609,0.00031499573,0.00040795567,0.00012148744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002467226,0.0011082592,0.001080798,0.003037812,0.0010279357,0.004216032,0.0031179418,0.0014773485,0.0118900165],"category_scores_gemma":[0.004487944,0.000665584,0.0017954712,0.0027954704,0.0009074183,0.003106562,0.0031318152,0.0019171123,0.003650863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052263757,0.0005451509,0.0045509357,0.00065267493,0.00041007,0.001968443,0.00078015233,0.15909134,0.007561961,0.25483844,0.049680483,0.5193978],"study_design_scores_gemma":[0.00012716973,0.00007438387,0.00050524867,0.00019335115,0.00034922865,0.00076317554,0.00026282304,0.764332,0.01278624,0.124698795,0.095786735,0.00012081457],"about_ca_topic_score_codex":0.014239918,"about_ca_topic_score_gemma":0.02140147,"teacher_disagreement_score":0.014239918,"about_ca_system_score_codex":0.0008931418,"about_ca_system_score_gemma":0.0030773222,"threshold_uncertainty_score":0.039776087},"labels":[],"label_agreement":null},{"id":"W3088875985","doi":"10.22230/cjc.2020v45n3a3855","title":"List Cultures: Knowledge and Poetics from Mesopotamia to BuzzFeed.","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Mesopotamia; Poetics; Literature; Art; History; Ancient history; Poetry","score_opus":0.028709513013728642,"score_gpt":0.26670562532924486,"score_spread":0.2379961123155162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088875985","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15429702,0.019928537,0.008909079,0.017700495,0.0011525461,0.00003449449,0.00054494845,0.00024948173,0.7971834],"genre_scores_gemma":[0.9528084,0.004008576,0.0019662657,0.00093299954,0.00012108521,0.000027827109,0.00014794471,0.00009976644,0.039887194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965155,0.00015623635,0.000020800386,0.000059545102,0.000052280844,0.000059517566],"domain_scores_gemma":[0.99950397,0.0002345321,0.000057491336,0.00004174148,0.000076439865,0.000085709566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532802,0.00028484964,0.00017040987,0.0016702359,0.005781093,0.003950149,0.00040243383,0.0008639778,0.0070242365],"category_scores_gemma":[0.0018059262,0.00013622885,0.000107103144,0.0017453682,0.008716315,0.0048030443,0.0020536233,0.0012471789,0.0006771832],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021456537,0.000022315662,0.0019047557,0.00031495263,0.000009714391,0.0005142639,0.29120952,0.00008009156,0.0024771087,0.6220667,0.015566667,0.06561943],"study_design_scores_gemma":[0.000014305838,0.00005384313,0.014526786,0.0006493318,0.000028013212,0.0007245671,0.2015816,0.0002385851,0.0018251488,0.073302776,0.7070072,0.000047896374],"about_ca_topic_score_codex":0.044249874,"about_ca_topic_score_gemma":0.090422824,"teacher_disagreement_score":0.044249874,"about_ca_system_score_codex":0.004017558,"about_ca_system_score_gemma":0.0015137157,"threshold_uncertainty_score":0.08798462},"labels":[],"label_agreement":null},{"id":"W3089128903","doi":"10.1145/3395027.3419592","title":"A Framework for Extracted View Maintenance","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Extractor; Information retrieval; Information extraction; Data mining; Theoretical computer science","score_opus":0.0655854069759577,"score_gpt":0.29868422516047055,"score_spread":0.23309881818451283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089128903","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007655232,0.00016565912,0.9957723,0.00019943295,0.000034150467,0.0000898757,0.0001926329,0.001906392,0.0008739647],"genre_scores_gemma":[0.032851726,0.0002815555,0.96185714,0.00017759515,0.000095214986,0.00020837602,0.0011339148,0.0007398747,0.0026546896],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9926224,0.0013686023,0.00082170777,0.0021886006,0.002577146,0.0004216265],"domain_scores_gemma":[0.98696125,0.0026773035,0.0010097792,0.006699208,0.0022901173,0.00036230648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007985327,0.0012654709,0.001453723,0.004224232,0.0018684701,0.00704817,0.0057432908,0.0024006618,0.006007168],"category_scores_gemma":[0.018830327,0.0016215468,0.0033178031,0.0036078927,0.0037373158,0.011555198,0.006883116,0.004410817,0.0022588808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018812643,0.00013038832,0.0012355642,0.00044837128,0.00015784151,0.0005244252,0.0008966182,0.03431147,0.006980752,0.7116118,0.011920755,0.23159392],"study_design_scores_gemma":[0.000065171276,0.00010218559,0.00041231135,0.0002055913,0.00014983397,0.0007183202,0.00022322747,0.33231878,0.013608787,0.55736834,0.094726756,0.00010068302],"about_ca_topic_score_codex":0.00561681,"about_ca_topic_score_gemma":0.0056174686,"teacher_disagreement_score":0.007985327,"about_ca_system_score_codex":0.0027528533,"about_ca_system_score_gemma":0.003636208,"threshold_uncertainty_score":0.042230904},"labels":[],"label_agreement":null},{"id":"W3091705456","doi":"","title":"Knowledge Base Repair: From Active Integrity Constraints to Active TBoxes","year":2020,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Knowledge base; Base (topology); Artificial intelligence","score_opus":0.04960423409662023,"score_gpt":0.2762393034926256,"score_spread":0.22663506939600536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091705456","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008433055,0.00039086677,0.9831308,0.00066503807,0.00013756522,0.000110255554,0.0006918662,0.004251221,0.002189415],"genre_scores_gemma":[0.20187883,0.0006252443,0.78434026,0.0007843831,0.00016193237,0.00016794249,0.003041813,0.0020558848,0.006943615],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99504375,0.0010780364,0.0005606924,0.0010809675,0.0018641532,0.00037225647],"domain_scores_gemma":[0.975115,0.013356762,0.0012071743,0.0067255143,0.0031387089,0.00045693124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055673374,0.0010850214,0.0010966528,0.002076371,0.0009785122,0.0047395844,0.004472911,0.0020608047,0.009000153],"category_scores_gemma":[0.03469177,0.0013894155,0.0022245687,0.001999594,0.0023815436,0.012064721,0.005555112,0.0037538335,0.0017976449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008504647,0.00038395976,0.0026830311,0.0020649794,0.0003428862,0.0013552491,0.0029035024,0.087546535,0.013063128,0.22594295,0.031858187,0.63100517],"study_design_scores_gemma":[0.00010707883,0.00013137113,0.00054046576,0.0004378424,0.00032384446,0.00049822056,0.0008848035,0.43501586,0.026397869,0.5027384,0.032842945,0.000081324506],"about_ca_topic_score_codex":0.0052492367,"about_ca_topic_score_gemma":0.005655675,"teacher_disagreement_score":0.009000153,"about_ca_system_score_codex":0.0013397052,"about_ca_system_score_gemma":0.002074868,"threshold_uncertainty_score":0.030108511},"labels":[],"label_agreement":null},{"id":"W3092146487","doi":"10.1111/coin.12404","title":"A machine learning approach for optimizing heuristic decision‐making in Web Ontology Language reasoners","year":2020,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nuance Communications (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Semantic reasoner; Computer science; Heuristics; Web Ontology Language; Description logic; Heuristic; Rotation formalisms in three dimensions; Ontology; Artificial intelligence; Nondeterministic algorithm; Ontology language; Theoretical computer science; Natural language processing; Programming language; Machine learning; Semantic Web; Mathematics","score_opus":0.048817305393317516,"score_gpt":0.320169333672621,"score_spread":0.2713520282793035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092146487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03300965,0.00021223123,0.96218157,0.0004998012,0.000040221996,0.00016114488,0.00007446614,0.00092257647,0.0028983392],"genre_scores_gemma":[0.41790238,0.00015141562,0.5794657,0.0002491629,0.000067020745,0.0002820974,0.00019591246,0.00013261025,0.0015537051],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998103,0.0008413798,0.00012771676,0.0002877258,0.00042321926,0.00021698415],"domain_scores_gemma":[0.99458224,0.0041965335,0.00030788465,0.00029056592,0.0005165934,0.00010619943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027670998,0.00085371005,0.0010276859,0.0012303969,0.00070754584,0.0014948309,0.0016023528,0.00104547,0.0029376796],"category_scores_gemma":[0.009129338,0.0006268256,0.0010278382,0.0009941653,0.0011672926,0.0018520233,0.0011061644,0.0013992958,0.00036592528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012954784,0.00020817819,0.0008806404,0.00011198906,0.00006030656,0.00005806493,0.00006358499,0.86650276,0.0013159326,0.02049378,0.0012268015,0.10894838],"study_design_scores_gemma":[0.00001072602,0.000008540738,0.000037623286,0.0000036558483,0.0000059560994,0.000003384365,0.0000053169,0.9936458,0.0003484098,0.005744525,0.00018399773,0.0000021233095],"about_ca_topic_score_codex":0.0075301705,"about_ca_topic_score_gemma":0.008846406,"teacher_disagreement_score":0.0075301705,"about_ca_system_score_codex":0.002146317,"about_ca_system_score_gemma":0.0030770237,"threshold_uncertainty_score":0.015572727},"labels":[],"label_agreement":null},{"id":"W3093278779","doi":"10.1145/3394171.3414459","title":"ConfFlow: A Tool to Encourage New Diverse Collaborations","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Crawling; World Wide Web; Similarity (geometry); Computer science; Space (punctuation); Matching (statistics); Connection (principal bundle); Human–computer interaction; Information retrieval; Engineering; Artificial intelligence","score_opus":0.050954643526801395,"score_gpt":0.26032810758941477,"score_spread":0.20937346406261337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093278779","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050865483,0.0011361156,0.5346833,0.0030026352,0.0027389568,0.004286421,0.019935558,0.31032234,0.07302912],"genre_scores_gemma":[0.15009502,0.00094494503,0.7007893,0.001503205,0.001330843,0.009128019,0.040997267,0.030579692,0.06463174],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953505,0.0018705217,0.00038721075,0.0006667166,0.0013308498,0.00039430402],"domain_scores_gemma":[0.9796122,0.01015181,0.0009614831,0.0031552615,0.0024001824,0.003719149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075992886,0.0017468203,0.0007896154,0.00696911,0.0021313326,0.003389115,0.002834834,0.0020175222,0.04874761],"category_scores_gemma":[0.025360236,0.0007986972,0.0010768413,0.00309082,0.0006464669,0.007136962,0.010704983,0.0018866019,0.014408992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014337703,0.0009229984,0.0040906,0.002258244,0.00012178414,0.0010742572,0.0063711093,0.0026883811,0.017326104,0.018308045,0.58485425,0.3605504],"study_design_scores_gemma":[0.00055194466,0.0003414197,0.003746779,0.00034215653,0.000056061974,0.00067036884,0.0017451615,0.02121777,0.010878142,0.02541908,0.9347643,0.0002667959],"about_ca_topic_score_codex":0.0009838631,"about_ca_topic_score_gemma":0.0028914213,"teacher_disagreement_score":0.04874761,"about_ca_system_score_codex":0.000899626,"about_ca_system_score_gemma":0.0019340318,"threshold_uncertainty_score":0.16307694},"labels":[],"label_agreement":null},{"id":"W3095789022","doi":"10.3233/faia200663","title":"An Ontology for Formal Models of Kinship","year":2020,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Bank of Canada; University of Toronto","funders":"","keywords":"Kinship; Ontology; Documentation; Computer science; Domain (mathematical analysis); Formal ontology; Ontology components; Process ontology; Upper ontology; Semantic Web; Epistemology; Information retrieval; Sociology; Ontology alignment; Mathematics; Programming language; Anthropology; Philosophy","score_opus":0.09662444635796386,"score_gpt":0.3012114936190871,"score_spread":0.20458704726112326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095789022","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028408181,0.002427166,0.8930929,0.0053941426,0.00045623197,0.00014346388,0.0010095268,0.00055479864,0.09408104],"genre_scores_gemma":[0.14999987,0.0057298103,0.79281497,0.001717669,0.0004545609,0.00079283677,0.0030106138,0.00045740206,0.045022238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982247,0.0006341577,0.00022139207,0.0002580252,0.00053982285,0.00012204798],"domain_scores_gemma":[0.9979316,0.0010020006,0.00014511994,0.0004355797,0.00037463655,0.00011106176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003123261,0.0008194084,0.0006462516,0.0027775762,0.00329652,0.005921263,0.0028135371,0.0021592376,0.005954373],"category_scores_gemma":[0.00421529,0.0007651118,0.0019434469,0.0043465276,0.0075073726,0.015733846,0.003617962,0.004620007,0.0018062278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010443579,0.0000039061533,0.000019839714,0.000019724559,0.0000021818744,0.000022526689,0.00025189907,0.000633128,0.00005321138,0.99481577,0.001192283,0.0029844353],"study_design_scores_gemma":[0.0000041266353,0.0000027699296,0.000035459663,0.00005269314,0.000006272435,0.00007121098,0.00017135819,0.0047441903,0.00012818014,0.9037706,0.09100271,0.000010327265],"about_ca_topic_score_codex":0.0210979,"about_ca_topic_score_gemma":0.01885521,"teacher_disagreement_score":0.0210979,"about_ca_system_score_codex":0.0058541666,"about_ca_system_score_gemma":0.0042055217,"threshold_uncertainty_score":0.042475104},"labels":[],"label_agreement":null},{"id":"W3097021268","doi":"10.1007/978-3-030-61750-9_8","title":"A New Approach for Processing Natural-Language Queries to Semantic Web Triplestores","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Semantics (computer science); Ambiguity; Query language; Transitive relation; Semantic Web; Natural language user interface; Natural language; The Internet; Information retrieval; World Wide Web; Natural language processing; Programming language","score_opus":0.018433548510673,"score_gpt":0.25118876096140164,"score_spread":0.23275521245072864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097021268","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014482215,0.000161384,0.9865415,0.0002726329,0.00021684906,0.00022551851,0.00036471811,0.0073279697,0.0034411927],"genre_scores_gemma":[0.015948292,0.00024753666,0.9669708,0.00037807305,0.00015307235,0.0002484851,0.0014498157,0.0014958463,0.013108052],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953988,0.0004672143,0.0005479211,0.00092217803,0.0024254792,0.00023845035],"domain_scores_gemma":[0.99677795,0.0009039653,0.00011632726,0.0010776853,0.0009691466,0.00015498628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002403898,0.0012862643,0.0017400384,0.0047869384,0.0022703153,0.0065361466,0.0033530802,0.0017421832,0.01305554],"category_scores_gemma":[0.0055480013,0.0015883256,0.0037941998,0.0043384996,0.0022286347,0.0119381,0.0064084404,0.0036358535,0.006369021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036410484,0.0005132797,0.0012111899,0.00070930773,0.00032263657,0.0006715197,0.0016605672,0.00740513,0.024506588,0.26863262,0.064390704,0.6296123],"study_design_scores_gemma":[0.00012829214,0.00010925156,0.0005430287,0.00021525356,0.00038821317,0.0011873207,0.0009722565,0.3135177,0.044465255,0.32265308,0.31559163,0.00022871398],"about_ca_topic_score_codex":0.007967955,"about_ca_topic_score_gemma":0.018538216,"teacher_disagreement_score":0.01305554,"about_ca_system_score_codex":0.0015987959,"about_ca_system_score_gemma":0.0024216764,"threshold_uncertainty_score":0.043675125},"labels":[],"label_agreement":null},{"id":"W3099535352","doi":"10.3166/ria.32.287-312","title":"SMILK, trait d’union entre langue naturelle et données sur le web","year":2018,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Annotation; World Wide Web; Knowledge base; Ontology; Population; Field (mathematics); Information retrieval; Artificial intelligence","score_opus":0.06753888455575599,"score_gpt":0.27330733910122373,"score_spread":0.20576845454546774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099535352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04866805,0.011987067,0.6657012,0.036101725,0.010881382,0.00036972974,0.015349679,0.05796517,0.15297599],"genre_scores_gemma":[0.39028007,0.00813479,0.27205154,0.0035180417,0.0046047443,0.0006302131,0.03883766,0.021623073,0.2603198],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9923579,0.001934262,0.0007893757,0.0013048345,0.0031430307,0.00047051744],"domain_scores_gemma":[0.98527443,0.0069119385,0.00044553276,0.0025109104,0.004153284,0.00070392725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066676773,0.0012017734,0.0014509708,0.0031630592,0.002391144,0.0078951325,0.0011840588,0.001926398,0.023026453],"category_scores_gemma":[0.033127327,0.0009425486,0.0015783544,0.002811829,0.001981503,0.009912626,0.0036637867,0.004050739,0.012246049],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013719611,0.00020452212,0.0032527088,0.00091807515,0.00019787444,0.0006663793,0.0010972747,0.0049049933,0.014997325,0.2546725,0.35468313,0.36303312],"study_design_scores_gemma":[0.00014035577,0.000095817064,0.004127113,0.0003946983,0.000111567315,0.000899577,0.0004731585,0.057162132,0.023290189,0.07862857,0.8344938,0.00018303451],"about_ca_topic_score_codex":0.014716288,"about_ca_topic_score_gemma":0.01096104,"teacher_disagreement_score":0.023026453,"about_ca_system_score_codex":0.0033891776,"about_ca_system_score_gemma":0.003200239,"threshold_uncertainty_score":0.077031195},"labels":[],"label_agreement":null},{"id":"W3103850532","doi":"10.5220/0010148500830092","title":"Accommodating Negation in an Efficient Event-based Natural Language Query Interface to the Semantic Web","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Negation; Natural language user interface; Query language; Interface (matter); Event (particle physics); Natural language; Natural language processing; Information retrieval; Web search query; Semantic Web; Programming language; World Wide Web; Artificial intelligence; Search engine","score_opus":0.01893029999615098,"score_gpt":0.2882394953777054,"score_spread":0.2693091953815544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103850532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021602977,0.00018406098,0.95968705,0.0005079608,0.00009933701,0.00016501006,0.0004986079,0.014355177,0.0028998377],"genre_scores_gemma":[0.3858418,0.0002611198,0.6027385,0.00069103925,0.00012221369,0.00022765077,0.00196293,0.0020720449,0.0060826284],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760133,0.00067331694,0.00032313896,0.00034970083,0.0008927131,0.0001597876],"domain_scores_gemma":[0.9959378,0.002737061,0.00016649289,0.00050653814,0.0005673564,0.00008473009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031208924,0.0007474629,0.0011290755,0.0010194101,0.0007722762,0.0033650405,0.0023062923,0.001359215,0.006834175],"category_scores_gemma":[0.00926508,0.0005457121,0.00084110413,0.00091621286,0.0009654458,0.0054798205,0.0025423453,0.0014596824,0.0022595483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003991686,0.00094904023,0.006642292,0.0010721276,0.00023790308,0.0019305181,0.0029809286,0.05073213,0.115209006,0.1797887,0.04558344,0.5908823],"study_design_scores_gemma":[0.00025149403,0.00018175952,0.00052551116,0.00006459855,0.00017382162,0.00043953705,0.00045137547,0.787252,0.071951285,0.099368334,0.03923084,0.00010947185],"about_ca_topic_score_codex":0.0038478882,"about_ca_topic_score_gemma":0.00542569,"teacher_disagreement_score":0.006834175,"about_ca_system_score_codex":0.00081424013,"about_ca_system_score_gemma":0.0010987808,"threshold_uncertainty_score":0.022862613},"labels":[],"label_agreement":null},{"id":"W3110503277","doi":"10.1109/access.2020.3042429","title":"Knowledge-Oriented Models Based on Developer-Artifact and Developer-Developer Interactions","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Universidade Federal do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Artifact (error); Computer science; Software engineering; Human–computer interaction; World Wide Web; Artificial intelligence","score_opus":0.12323750608678781,"score_gpt":0.33449531304876695,"score_spread":0.21125780696197916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110503277","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03221685,0.0008129258,0.85373205,0.0048776804,0.00012863839,0.00042371696,0.0005964242,0.0006036619,0.10660806],"genre_scores_gemma":[0.667251,0.0013090902,0.30098942,0.0004728046,0.00013421282,0.0014193617,0.0013504346,0.00018240468,0.026891245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99663526,0.001518662,0.0002650821,0.00058597035,0.0007207998,0.00027422878],"domain_scores_gemma":[0.98604256,0.008846641,0.0012317093,0.0016586107,0.0014668853,0.0007535523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041451254,0.0009174139,0.0005743883,0.0033275257,0.0015106407,0.006764966,0.0029338885,0.0030952091,0.010393541],"category_scores_gemma":[0.013689658,0.0006621504,0.001523534,0.0029467328,0.0034402418,0.011277616,0.0033747547,0.0020659312,0.0021775921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006560557,0.00012728992,0.0017495955,0.00012142429,0.00003884493,0.0004121421,0.0025575447,0.0530272,0.00037332036,0.9154476,0.0021884143,0.023891017],"study_design_scores_gemma":[0.000069454385,0.00006236941,0.0008194462,0.00012639981,0.00007421978,0.000238454,0.0006644658,0.35537255,0.0004581582,0.61333174,0.02874255,0.000040204857],"about_ca_topic_score_codex":0.010881456,"about_ca_topic_score_gemma":0.0073317126,"teacher_disagreement_score":0.010881456,"about_ca_system_score_codex":0.0042650313,"about_ca_system_score_gemma":0.003208201,"threshold_uncertainty_score":0.034769833},"labels":[],"label_agreement":null},{"id":"W3111213145","doi":"10.1515/9782763735719-005","title":"L’ontologie appliquée : un dialogue entre métaphysique analytique et traitement de l’information","year":2020,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Philosophy","score_opus":0.02513596801955597,"score_gpt":0.24906227322443314,"score_spread":0.22392630520487716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111213145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018771863,0.006891943,0.7691607,0.09110686,0.0019119187,0.000110137655,0.00025865991,0.0010152605,0.11077264],"genre_scores_gemma":[0.64505875,0.012389794,0.2554882,0.009679304,0.0042254105,0.0005179152,0.00074469065,0.0022433314,0.06965259],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98886687,0.006580846,0.00064093445,0.0009860077,0.0025189,0.00040649707],"domain_scores_gemma":[0.9853837,0.00953629,0.00042918662,0.0030102252,0.0013184977,0.00032205958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015128718,0.0013633053,0.0011909854,0.0041207406,0.0044981344,0.024590963,0.002565335,0.008949921,0.0064444835],"category_scores_gemma":[0.019232739,0.0016366014,0.0016778246,0.0047157435,0.028177395,0.049508147,0.008067206,0.010793555,0.001301095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000921507,0.0000084201165,0.00007055437,0.000049324608,0.000006313507,0.00013127537,0.0028209656,0.0002874823,0.0006678579,0.98934186,0.0015669042,0.00503996],"study_design_scores_gemma":[0.0000122176825,0.000010060617,0.0002559591,0.00012271265,0.000012904826,0.00048185798,0.0022191547,0.004315841,0.0018451118,0.82884866,0.16183487,0.00004059435],"about_ca_topic_score_codex":0.011922434,"about_ca_topic_score_gemma":0.004919599,"teacher_disagreement_score":0.024590963,"about_ca_system_score_codex":0.008190962,"about_ca_system_score_gemma":0.0051354314,"threshold_uncertainty_score":0.08000928},"labels":[],"label_agreement":null},{"id":"W3113093152","doi":"10.1007/978-3-030-15145-4_66-1","title":"Smart Mobility Ontology: Current Trends and Future Directions","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Current (fluid); Computer science; Geography; Data science; Engineering; Epistemology; Electrical engineering; Philosophy","score_opus":0.027069185871150526,"score_gpt":0.26860410350761,"score_spread":0.24153491763645946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113093152","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00477859,0.4021464,0.20356973,0.035453044,0.01370613,0.00016591622,0.0015499126,0.00188429,0.33674604],"genre_scores_gemma":[0.030666133,0.57876635,0.20214874,0.0068256133,0.0051463726,0.00020674297,0.00421775,0.000968292,0.17105402],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994547,0.00009679971,0.00005253902,0.000080047066,0.00026893397,0.000046990062],"domain_scores_gemma":[0.9991518,0.00044774,0.000045178367,0.000103824415,0.00016940427,0.00008203261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007432,0.0005887827,0.0007229318,0.0027743182,0.0007572226,0.005673837,0.0014310387,0.0014405169,0.014125687],"category_scores_gemma":[0.0021258309,0.00043776276,0.000616496,0.008619486,0.0016288628,0.015998686,0.0023224587,0.002210119,0.005626273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014065204,0.000048399917,0.00021870139,0.00079957145,0.000010229552,0.00006078049,0.00027566976,0.0008254397,0.0005138006,0.4190692,0.12325909,0.4549051],"study_design_scores_gemma":[0.000002309948,0.0000048746274,0.00010959385,0.00041676906,0.000008703208,0.00018690964,0.00018373218,0.0012629733,0.00013844702,0.08488167,0.9127938,0.000010141164],"about_ca_topic_score_codex":0.004544457,"about_ca_topic_score_gemma":0.008506905,"teacher_disagreement_score":0.014125687,"about_ca_system_score_codex":0.0024926257,"about_ca_system_score_gemma":0.0031826121,"threshold_uncertainty_score":0.0472551},"labels":[],"label_agreement":null},{"id":"W3113711012","doi":"10.4018/jdm.2020100103","title":"A Meta-Analysis of Ontological Guidance and Users' Understanding of Conceptual Models","year":2020,"lang":"en","type":"article","venue":"Journal of Database Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Ontology; Conceptual model; Process (computing); Quality (philosophy); Knowledge management; Management science; Data science; Epistemology","score_opus":0.3749526855289792,"score_gpt":0.3174840070519495,"score_spread":0.05746867847702969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113711012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8310404,0.005958966,0.1252893,0.0054799593,0.00006575699,0.00041976073,0.00056117476,0.00023212424,0.030952496],"genre_scores_gemma":[0.9770319,0.00063206954,0.02139758,0.00014666675,0.000009360814,0.00018154642,0.00017017276,0.000069590365,0.00036115063],"study_design_codex":"qualitative","study_design_gemma":"meta_analysis","domain_scores_codex":[0.95670485,0.030515617,0.002932279,0.002049989,0.007203853,0.000593425],"domain_scores_gemma":[0.6593453,0.28782102,0.0097618615,0.021805657,0.020523485,0.00074263936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.055024527,0.00074634433,0.00080384535,0.011476379,0.0027150216,0.008937895,0.0015331812,0.0013459842,0.0016192426],"category_scores_gemma":[0.16497584,0.0009697187,0.002397082,0.00798629,0.005602067,0.01810017,0.004718893,0.003316118,0.00010858749],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010115659,0.0004847655,0.120747045,0.0033332768,0.0023144532,0.00045515673,0.35453293,0.0038082248,0.00687811,0.29061717,0.0016273081,0.21418999],"study_design_scores_gemma":[0.00039595267,0.0016500917,0.19313756,0.012977021,0.0098109525,0.0017630594,0.30654502,0.05211172,0.029582245,0.30720463,0.084153496,0.0006683773],"about_ca_topic_score_codex":0.0066295587,"about_ca_topic_score_gemma":0.0072189514,"teacher_disagreement_score":0.055024527,"about_ca_system_score_codex":0.009809344,"about_ca_system_score_gemma":0.004744549,"threshold_uncertainty_score":0.29100096},"labels":[],"label_agreement":null},{"id":"W3115507474","doi":"","title":"Chaînes de traitement pour la détection de concepts dans le contexte de l'analyse conceptuelle philosophique basée sur des données textuelles","year":2019,"lang":"fr","type":"article","venue":"Archipelago (University of Quebec in Montreal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Humanities; Philosophy","score_opus":0.048557415934793444,"score_gpt":0.23497564200326718,"score_spread":0.18641822606847375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115507474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03559019,0.0016641509,0.948197,0.0013730312,0.00028145232,0.0005484428,0.0009973128,0.0025205596,0.0088277925],"genre_scores_gemma":[0.18346384,0.0014212433,0.78983736,0.00045056196,0.00013242885,0.00086392224,0.001601287,0.00069616723,0.021533186],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99214774,0.001832146,0.00068299647,0.0022337835,0.002776459,0.00032682827],"domain_scores_gemma":[0.97486055,0.016029516,0.0014725715,0.0029867264,0.004231696,0.00041895147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060150055,0.0013453106,0.0011817844,0.0045508705,0.001813212,0.00592775,0.0017123064,0.0026682622,0.016456433],"category_scores_gemma":[0.03537948,0.0009959674,0.0020683636,0.004054719,0.0027750242,0.009853796,0.0034112614,0.0033481221,0.0065873596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085053075,0.00022080673,0.01796644,0.0023381712,0.00044274473,0.0011571852,0.0129701095,0.012323943,0.05787386,0.11601013,0.00946082,0.7683852],"study_design_scores_gemma":[0.0001463314,0.0007674452,0.029298896,0.0020009317,0.0006936967,0.002295643,0.010256488,0.3250769,0.15259844,0.22281799,0.25359714,0.00045008425],"about_ca_topic_score_codex":0.009282977,"about_ca_topic_score_gemma":0.008756999,"teacher_disagreement_score":0.016456433,"about_ca_system_score_codex":0.0020576564,"about_ca_system_score_gemma":0.0027339996,"threshold_uncertainty_score":0.05505222},"labels":[],"label_agreement":null},{"id":"W31161320","doi":"10.1007/s00216-019-01878-z","title":"Realization of Semantic Search Using Concept Learning and Document Annotation Agents.","year":2009,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Adaptable and Seamless Technology Transfer Program through Target-Driven R and D","keywords":"Computer science; Semantic search; Ontology; Information retrieval; Semantic integration; Semantic interoperability; Interoperability; Semantic Web; Exploratory search; World Wide Web; Semantics (computer science); Social Semantic Web; Semantic Web Stack","score_opus":0.01330137295004546,"score_gpt":0.2617367720596843,"score_spread":0.24843539910963885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31161320","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020302,0.0013400431,0.94702595,0.0007835647,0.00025860124,0.0006237573,0.0034554729,0.016054561,0.0101560205],"genre_scores_gemma":[0.13058437,0.0008069837,0.8543431,0.00035158917,0.00008353611,0.00050887064,0.008274466,0.0003102749,0.004736781],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882096,0.0002432057,0.00012384614,0.0004109033,0.00030937404,0.000091742295],"domain_scores_gemma":[0.9989999,0.00032237495,0.00008293348,0.00018468476,0.00032926348,0.000080872764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016077138,0.0012079995,0.001066856,0.004109875,0.0010654113,0.0020198105,0.0019055858,0.0014278452,0.006253817],"category_scores_gemma":[0.003089589,0.00036607392,0.0015432604,0.0029193524,0.000531381,0.0040131398,0.0016503588,0.0011480843,0.0036709392],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006050108,0.00091971725,0.0016363304,0.0008361588,0.00025353822,0.00049313705,0.00051212433,0.00863797,0.024223711,0.027888194,0.0334873,0.9005069],"study_design_scores_gemma":[0.0001536265,0.00044435306,0.0020440386,0.00023692333,0.00030574942,0.0008170765,0.001195056,0.7190621,0.07496704,0.08724922,0.113394335,0.00013043174],"about_ca_topic_score_codex":0.0070927273,"about_ca_topic_score_gemma":0.0061967713,"teacher_disagreement_score":0.0070927273,"about_ca_system_score_codex":0.00094005046,"about_ca_system_score_gemma":0.0022448152,"threshold_uncertainty_score":0.020921052},"labels":[],"label_agreement":null},{"id":"W3117330206","doi":"10.1093/logcom/exaa065","title":"Lifting propositional proof compression algorithms to first-order logic","year":2020,"lang":"en","type":"article","venue":"Journal of Logic and Computation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematical proof; Resolution (logic); Propositional calculus; Literal (mathematical logic); Proof complexity; Algorithm; Computer science; Propositional variable; Automated reasoning; Zeroth-order logic; Conjunctive normal form; Proof theory; Well-formed formula; Intuitionistic logic; Automated theorem proving; Mathematics; First-order logic; Intermediate logic; Calculus (dental); Discrete mathematics; Theoretical computer science; Programming language; Description logic; Multimodal logic","score_opus":0.04514012537969444,"score_gpt":0.29194074934781516,"score_spread":0.24680062396812072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117330206","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04143269,0.0015370045,0.94419885,0.00073683687,0.00013447698,0.000396245,0.00027338782,0.0061948462,0.005095671],"genre_scores_gemma":[0.19091268,0.0010284838,0.8031125,0.00027101606,0.00011880567,0.00027294076,0.0010013256,0.0006090646,0.0026731992],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99526346,0.0014479,0.00028555276,0.00041064716,0.0023419333,0.00025042662],"domain_scores_gemma":[0.98521113,0.008228414,0.0006281214,0.0038344273,0.0018735385,0.00022443567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003408751,0.0010194615,0.0008865323,0.0033340554,0.0007982586,0.0022455235,0.0022247771,0.00089521677,0.004303084],"category_scores_gemma":[0.016845167,0.0005562341,0.0013959443,0.0028508138,0.0015378916,0.004134235,0.0028406235,0.0028812976,0.0009777453],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031302508,0.00029323148,0.001032684,0.00047409706,0.000111466805,0.00013279988,0.00057344115,0.071044065,0.010896555,0.10242084,0.006349431,0.80635834],"study_design_scores_gemma":[0.00016881451,0.00017778273,0.0008118864,0.00018165311,0.00010720725,0.0004237966,0.00017890186,0.7335134,0.03955893,0.20204125,0.022782888,0.000053494103],"about_ca_topic_score_codex":0.0028487674,"about_ca_topic_score_gemma":0.0026505284,"teacher_disagreement_score":0.004303084,"about_ca_system_score_codex":0.0020951699,"about_ca_system_score_gemma":0.0022306202,"threshold_uncertainty_score":0.018027365},"labels":[],"label_agreement":null},{"id":"W3121894637","doi":"10.1007/s10270-021-00862-5","title":"Foundations of information technology based on Bunge’s systemist philosophy of reality","year":2021,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Ontology; Exposition (narrative); Computer science; Epistemology; Scholarship; Upper ontology; Data science; Philosophy; World Wide Web; Semantic Web; Political science","score_opus":0.038164169761769784,"score_gpt":0.26672531083452905,"score_spread":0.22856114107275927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121894637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023501258,0.0068377843,0.5883144,0.025461059,0.00056025,0.00014713968,0.00019359765,0.0002143223,0.3547702],"genre_scores_gemma":[0.8162721,0.006302303,0.15589309,0.0022401104,0.0005887733,0.00042161602,0.00017816627,0.00012675433,0.01797705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963715,0.001741774,0.00026058455,0.00046196167,0.0008959811,0.00026828315],"domain_scores_gemma":[0.99762195,0.0011413218,0.00017967915,0.0004569979,0.00040203315,0.00019795059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004900183,0.0005398788,0.0007697802,0.004077598,0.00341592,0.009081724,0.0010950033,0.00270678,0.0032488587],"category_scores_gemma":[0.003221308,0.0004555143,0.0013031388,0.0037068145,0.02910536,0.010788067,0.004489533,0.003932989,0.0005301893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.471209e-7,0.0000015055989,0.000015776486,0.0000056783274,0.0000011556858,0.000008605171,0.0002171779,0.00015610503,0.000015491081,0.9988961,0.00014725688,0.00053444994],"study_design_scores_gemma":[0.0000032816047,0.0000039709084,0.000061838844,0.00003297081,0.000002669249,0.000030302408,0.00019166713,0.0012602739,0.00004896574,0.97895414,0.01940469,0.000005141458],"about_ca_topic_score_codex":0.006294472,"about_ca_topic_score_gemma":0.0033404056,"teacher_disagreement_score":0.009081724,"about_ca_system_score_codex":0.008586832,"about_ca_system_score_gemma":0.004628064,"threshold_uncertainty_score":0.062302172},"labels":[],"label_agreement":null},{"id":"W3122624431","doi":"10.2139/ssrn.2577387","title":"Classifying the Patterns of Natural Arguments.","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Natural (archaeology); Computer science; Geography","score_opus":0.023440021367714305,"score_gpt":0.25969399985458985,"score_spread":0.23625397848687554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122624431","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4179734,0.008008204,0.43720725,0.007926991,0.000826496,0.0010870718,0.013713748,0.0025970715,0.11065975],"genre_scores_gemma":[0.7399503,0.002077376,0.23530123,0.0006675257,0.00020390659,0.00042836487,0.010527675,0.00026462798,0.010578979],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99649185,0.0010830021,0.00056365953,0.000644128,0.0010004925,0.00021683004],"domain_scores_gemma":[0.9853078,0.009510933,0.0013392639,0.0017703945,0.0016570049,0.0004146451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024886855,0.0004884427,0.00044323134,0.0074872887,0.0013883678,0.004246575,0.0010041451,0.0015164121,0.007046018],"category_scores_gemma":[0.026651833,0.00036140447,0.0008981062,0.005721907,0.0018526113,0.008612954,0.0017672973,0.0012812841,0.0017274331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006864906,0.00041112886,0.07568026,0.0015309257,0.00031866255,0.0018484637,0.0046687485,0.001773378,0.010668922,0.46572733,0.025522383,0.41116333],"study_design_scores_gemma":[0.00007815973,0.00014136697,0.029993922,0.0009346501,0.00025226586,0.003254766,0.0060190787,0.026698213,0.009570423,0.7625174,0.16046816,0.000071648195],"about_ca_topic_score_codex":0.0015447689,"about_ca_topic_score_gemma":0.0029448995,"teacher_disagreement_score":0.0074872887,"about_ca_system_score_codex":0.0008545622,"about_ca_system_score_gemma":0.0013729458,"threshold_uncertainty_score":0.023571253},"labels":[],"label_agreement":null},{"id":"W3122931688","doi":"10.1038/npre.2009.3231.1","title":"Developing ontologies in decentralised settings","year":2009,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Terry Fox Research Institute","funders":"","keywords":"Ontology; Computer science; Context (archaeology); IDEF5; Best practice; Knowledge management; Ontology engineering; Data science; Point (geometry); Foundation (evidence); Management science; Process management; Process ontology; Engineering; Political science; Domain knowledge","score_opus":0.021211681426126523,"score_gpt":0.3034751032599575,"score_spread":0.282263421833831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122931688","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0445156,0.00017379007,0.94500214,0.001200294,0.00003324842,0.0003078302,0.00003533444,0.00048862846,0.008243088],"genre_scores_gemma":[0.33719915,0.0001505496,0.65894264,0.00017947155,0.000020293248,0.00031813365,0.0000975395,0.00014423612,0.002948022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9713201,0.018911483,0.0017214643,0.0033261299,0.004121658,0.00059913634],"domain_scores_gemma":[0.9591722,0.018675758,0.0032751039,0.013739039,0.0038391093,0.0012987731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026900558,0.00036492702,0.000814087,0.0027017351,0.0027469844,0.0055569243,0.0026486472,0.001978742,0.0023596347],"category_scores_gemma":[0.030767472,0.0007719877,0.0010102681,0.0017685983,0.007002137,0.013409796,0.011224963,0.0029782169,0.0006266736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092941664,0.0003521416,0.0051301746,0.0005275773,0.00014375594,0.00065367285,0.020324646,0.04042064,0.009349753,0.7617926,0.0021812404,0.15903082],"study_design_scores_gemma":[0.00008162949,0.00017040815,0.0020276543,0.0005005541,0.00005899997,0.0005424766,0.0072944267,0.14270328,0.012960779,0.7560577,0.07751532,0.00008676082],"about_ca_topic_score_codex":0.0019682755,"about_ca_topic_score_gemma":0.0027266964,"teacher_disagreement_score":0.026900558,"about_ca_system_score_codex":0.0029219782,"about_ca_system_score_gemma":0.0039053077,"threshold_uncertainty_score":0.14226544},"labels":[],"label_agreement":null},{"id":"W3123267850","doi":"10.1007/978-3-030-67731-2_2","title":"Towards Knowledge Exchange: State-of-the-Art and Open Problems","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Knowledge graph; Task (project management); Knowledge management; Property (philosophy); Data science; State (computer science); Data exchange; Artificial intelligence; World Wide Web; Programming language; Engineering; Epistemology","score_opus":0.0337138624606843,"score_gpt":0.2762919369261551,"score_spread":0.2425780744654708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123267850","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013122501,0.17389663,0.6529993,0.05021605,0.0014101331,0.00022238005,0.0004902288,0.00093573274,0.10670713],"genre_scores_gemma":[0.2619738,0.2120753,0.49251863,0.0059776898,0.0029100028,0.00048594168,0.0027046846,0.0006045027,0.02074943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9825187,0.009422342,0.0010714525,0.0021843542,0.003902572,0.0009005574],"domain_scores_gemma":[0.95602053,0.031288575,0.0011602977,0.008075043,0.0023944334,0.0010611538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022806143,0.0015411561,0.0031621845,0.004786864,0.003317983,0.027195996,0.007926189,0.009123326,0.011737873],"category_scores_gemma":[0.037189353,0.001248811,0.0018717794,0.014149275,0.013359729,0.083710924,0.017223403,0.0062315864,0.005503595],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056552402,0.00010440487,0.0004081831,0.0013387013,0.00007623243,0.00008732401,0.00177088,0.0019012723,0.00025259223,0.7799077,0.009256832,0.20483933],"study_design_scores_gemma":[0.000011603538,0.000011072785,0.000110993074,0.0007425921,0.000016054242,0.00013339406,0.0011459182,0.004761547,0.0003698513,0.9385267,0.05415229,0.000018020584],"about_ca_topic_score_codex":0.0033616452,"about_ca_topic_score_gemma":0.0015265151,"teacher_disagreement_score":0.027195996,"about_ca_system_score_codex":0.0034118823,"about_ca_system_score_gemma":0.005523845,"threshold_uncertainty_score":0.12061185},"labels":[],"label_agreement":null},{"id":"W3123796372","doi":"10.1016/j.aei.2020.101233","title":"A case study comparing the completeness and expressiveness of two industry recognized ontologies","year":2021,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Schneider Electric","keywords":"Haystack; Ontology; Building automation; Completeness (order theory); Computer science; Scalability; Brick; Automation; Data science; Engineering; Database; World Wide Web; Civil engineering; Mathematics","score_opus":0.038022988050555664,"score_gpt":0.2772276108915159,"score_spread":0.23920462284096022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123796372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9446038,0.00024930105,0.033318397,0.0012531115,0.00002966751,0.00025342262,0.00035041533,0.00012581503,0.019816112],"genre_scores_gemma":[0.9631277,0.00013707377,0.033475913,0.00008288248,0.0000075538323,0.00008189718,0.0005540286,0.000059084035,0.002473727],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9887115,0.006151097,0.00069915794,0.00073628785,0.0031834005,0.00051853404],"domain_scores_gemma":[0.91277224,0.07286255,0.00173016,0.0057585333,0.0061776447,0.00069879694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010279012,0.00033424862,0.00040158303,0.0019858899,0.002874091,0.0036268958,0.0015804666,0.0027999429,0.0027115326],"category_scores_gemma":[0.041453548,0.0003135952,0.0006697368,0.0026525385,0.0023165045,0.0052228626,0.002128269,0.0013732669,0.0003152472],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051585636,0.0048450604,0.11189279,0.002871337,0.0002838685,0.022071235,0.10640953,0.050314996,0.048152555,0.2726202,0.012092925,0.3632869],"study_design_scores_gemma":[0.00095875975,0.003403117,0.08876289,0.0016286826,0.000844024,0.021489074,0.2023372,0.24553733,0.09752699,0.12324944,0.2138727,0.00038985888],"about_ca_topic_score_codex":0.012644627,"about_ca_topic_score_gemma":0.01677914,"teacher_disagreement_score":0.012644627,"about_ca_system_score_codex":0.002788613,"about_ca_system_score_gemma":0.0022775247,"threshold_uncertainty_score":0.054361284},"labels":[],"label_agreement":null},{"id":"W3123884546","doi":"","title":"Backwards Design or Looking Sideways? Knowledge Translation in the Real World; Comment on 'A Call for a Backward Design to Knowledge Translation'","year":2015,"lang":"en","type":"article","venue":"Research Information System of Ardabil University of Medical Sciences (Ardabil University of Medical Sciences)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Translation (biology); Computer science; Knowledge translation; Design knowledge; Knowledge management","score_opus":0.4391256446652273,"score_gpt":0.40268646816169046,"score_spread":0.03643917650353684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123884546","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001252216,0.0017486854,0.0013587297,0.9910164,0.0039564716,0.000012561827,0.000034538425,0.0000673588,0.0016801226],"genre_scores_gemma":[0.007613931,0.0013976224,0.0030011141,0.9791612,0.0044832896,0.00017865116,0.00002522377,0.000097273514,0.004041783],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.95283544,0.024613103,0.003986358,0.004708378,0.011161902,0.0026947455],"domain_scores_gemma":[0.8579553,0.11356363,0.004921595,0.004774033,0.016490242,0.0022952068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.061427888,0.0015426729,0.0014885794,0.0023725678,0.009459307,0.01457631,0.0072041857,0.051225062,0.0069404817],"category_scores_gemma":[0.09881676,0.0010741972,0.0025135225,0.0025568998,0.05647748,0.041414853,0.011170423,0.050753888,0.006542286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006610834,0.000024501247,0.00016444521,0.00035011792,0.000019476432,0.00019384125,0.00712094,0.00019173538,0.00021867818,0.22750215,0.75213456,0.0120135285],"study_design_scores_gemma":[0.00007371895,0.000041172945,0.00031061875,0.00074179616,0.000027923537,0.00024137812,0.0049002618,0.00058461464,0.00067097455,0.2241308,0.76810515,0.00017155001],"about_ca_topic_score_codex":0.026241379,"about_ca_topic_score_gemma":0.025055991,"teacher_disagreement_score":0.061427888,"about_ca_system_score_codex":0.01212764,"about_ca_system_score_gemma":0.0149612315,"threshold_uncertainty_score":0.32486564},"labels":[],"label_agreement":null},{"id":"W3124575354","doi":"10.5539/ijbm.v6n8p245","title":"Exploration of Knowledge Acquisition Techniques in Tunnel Industry: The Case Study of Iran Tunnel Association","year":2011,"lang":"en","type":"article","venue":"International Journal of Business and Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Iran University of Science and Technology; Worcester Polytechnic Institute; University of Calgary; Accenture","keywords":"Repertory grid; Nonprobability sampling; Timeline; Knowledge acquisition; Process (computing); Knowledge management; Computer science; Engineering; Psychology; Population; Mathematics; Statistics; Sociology; Social psychology","score_opus":0.07309653245323498,"score_gpt":0.29781511966061447,"score_spread":0.22471858720737947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124575354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99605834,0.00006940402,0.00088963984,0.00023809868,0.000005118295,0.000055786797,0.0000123289465,0.000006626846,0.0026648007],"genre_scores_gemma":[0.9945642,0.00020595762,0.0024946616,0.00008839763,0.0000063051693,0.000032421693,0.00002513261,0.0000054957395,0.00257739],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9981345,0.00097468484,0.00006707723,0.0001192905,0.0002801965,0.00042413324],"domain_scores_gemma":[0.9958805,0.001919843,0.00046839466,0.0002992333,0.000726878,0.00070513407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004174112,0.0003397851,0.0002813495,0.001604054,0.0054309852,0.0015682194,0.0010771911,0.0013032425,0.003133139],"category_scores_gemma":[0.004515259,0.00028092894,0.00033031488,0.0011481785,0.0014763479,0.0016306279,0.0018164503,0.0012288627,0.00041800697],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003498852,0.0027757126,0.12655152,0.000550469,0.00003506157,0.04232657,0.7102919,0.0011846825,0.0043094032,0.0027679505,0.003446038,0.1054108],"study_design_scores_gemma":[0.000033731983,0.00072113704,0.06753929,0.00026914896,0.00003288187,0.00918085,0.89720315,0.0025372142,0.0021699562,0.0009959011,0.019260129,0.000056653433],"about_ca_topic_score_codex":0.0091725215,"about_ca_topic_score_gemma":0.02999997,"teacher_disagreement_score":0.0091725215,"about_ca_system_score_codex":0.0019993884,"about_ca_system_score_gemma":0.0040361085,"threshold_uncertainty_score":0.022075057},"labels":[],"label_agreement":null},{"id":"W3124841265","doi":"","title":"Gestion de l'information dans les essais cliniques","year":2006,"lang":"fr","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.040831317912191516,"score_gpt":0.3166997747142058,"score_spread":0.2758684568020143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124841265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50339174,0.005929455,0.43363166,0.012404218,0.0004896776,0.002036486,0.0030493462,0.0030645903,0.036002725],"genre_scores_gemma":[0.84303814,0.0023451168,0.14666772,0.00048142328,0.00013244736,0.0007373058,0.00067430624,0.00019752298,0.0057260604],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9819732,0.010712657,0.0011817754,0.001598942,0.004058105,0.00047532935],"domain_scores_gemma":[0.933185,0.053470105,0.004047187,0.004390457,0.003848835,0.0010584438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016711684,0.0010316289,0.0014449739,0.0022259695,0.0013287169,0.007720313,0.0013183345,0.0027033866,0.0074975654],"category_scores_gemma":[0.06484074,0.0006698374,0.0014031463,0.0031500568,0.0013228857,0.0042415005,0.0030064774,0.0019912433,0.0017765227],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002562106,0.0009933173,0.08079562,0.0025846595,0.0008684375,0.0005825601,0.00817141,0.17561597,0.015496013,0.036305465,0.0069808573,0.6690436],"study_design_scores_gemma":[0.0012903396,0.006363227,0.1796874,0.0023509534,0.0017606494,0.0017874001,0.01104739,0.431331,0.058163635,0.1394797,0.1655688,0.0011695967],"about_ca_topic_score_codex":0.006461374,"about_ca_topic_score_gemma":0.0042230366,"teacher_disagreement_score":0.016711684,"about_ca_system_score_codex":0.0024244369,"about_ca_system_score_gemma":0.0045915726,"threshold_uncertainty_score":0.08838087},"labels":[],"label_agreement":null},{"id":"W3126961043","doi":"10.26443/mjm.v5i2.753","title":"Communication of Knowledge","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine","score_opus":0.07262448776209664,"score_gpt":0.3098478157025816,"score_spread":0.23722332794048495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126961043","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017659882,0.001641035,0.003922011,0.026364459,0.011062735,0.00023499643,0.002051733,0.0007667003,0.9521902],"genre_scores_gemma":[0.059332617,0.004637369,0.003783658,0.018520104,0.0058418526,0.0013954601,0.004585462,0.0010008959,0.9009026],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99036306,0.0036632319,0.0011535607,0.00134178,0.0024878767,0.0009904201],"domain_scores_gemma":[0.9552191,0.01269584,0.0032003394,0.011381176,0.013872002,0.003631542],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069104065,0.00079381984,0.0007899747,0.0021987704,0.0027757473,0.0073284586,0.001528355,0.0035354698,0.5120485],"category_scores_gemma":[0.05703565,0.00036759657,0.0007230368,0.0025378764,0.002297408,0.007221207,0.0062279203,0.0023547648,0.39189214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020307399,0.00005176172,0.0005405889,0.00049965247,0.000017597857,0.00025371226,0.0005323335,0.000054220935,0.0009515178,0.018118605,0.8120393,0.16673766],"study_design_scores_gemma":[0.000015349859,0.000013420651,0.0003627888,0.00035757665,0.0000067561505,0.00016869194,0.0002608549,0.00011548363,0.00025255623,0.0036651534,0.99477404,0.0000073109886],"about_ca_topic_score_codex":0.0029032861,"about_ca_topic_score_gemma":0.0019380427,"teacher_disagreement_score":0.5120485,"about_ca_system_score_codex":0.0022311034,"about_ca_system_score_gemma":0.007251156,"threshold_uncertainty_score":0.6960036},"labels":[],"label_agreement":null},{"id":"W3127621396","doi":"10.1109/nics51282.2020.9335876","title":"Towards An Ontology-Based Knowledge Base for Job Postings","year":2020,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Ontology; Information retrieval; Knowledge base; Knowledge extraction; Metric (unit); Information extraction; Domain knowledge; Domain (mathematical analysis); Quality (philosophy); Data mining; Base (topology); Artificial intelligence","score_opus":0.07064297508388832,"score_gpt":0.30544425590304336,"score_spread":0.23480128081915502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127621396","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012641793,0.00075911835,0.9581155,0.0012237496,0.00016147741,0.0010167409,0.010328667,0.0074921143,0.0082608415],"genre_scores_gemma":[0.04873447,0.0009845578,0.92931634,0.00029756952,0.000049585127,0.00045705738,0.018038832,0.00024866732,0.0018728399],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99747616,0.00032061368,0.0004286306,0.00055767334,0.0010653846,0.00015147982],"domain_scores_gemma":[0.995333,0.0014686005,0.0005240293,0.00087862613,0.0015796255,0.00021615736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023498477,0.0010962756,0.0013359765,0.013025038,0.0022071935,0.0046657515,0.0034380548,0.0019793569,0.002783064],"category_scores_gemma":[0.010387089,0.0008063376,0.0022143817,0.010355111,0.00081112515,0.006416972,0.0032792499,0.0026343763,0.0034301989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022441451,0.0012844326,0.01075713,0.0016967839,0.0003587191,0.002260031,0.0018249861,0.034777872,0.015592216,0.047112618,0.03750091,0.8466099],"study_design_scores_gemma":[0.00010776339,0.00018318639,0.014152353,0.0020381047,0.0008392126,0.0018576381,0.004209127,0.50408375,0.033516977,0.11722953,0.32144365,0.0003387734],"about_ca_topic_score_codex":0.02475557,"about_ca_topic_score_gemma":0.032325093,"teacher_disagreement_score":0.02475557,"about_ca_system_score_codex":0.001822476,"about_ca_system_score_gemma":0.005602293,"threshold_uncertainty_score":0.049222946},"labels":[],"label_agreement":null},{"id":"W3128031878","doi":"10.1002/asi.24450","title":"Holistic information research: From rhetoric to paradigm","year":2021,"lang":"en","type":"article","venue":"Journal of the Association for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Holism; Rhetorical question; Epistemology; Rhetoric; Sociology; Argument (complex analysis); Engineering ethics; Knowledge management; Computer science; Philosophy; Engineering","score_opus":0.05689035548981075,"score_gpt":0.33512620852031483,"score_spread":0.2782358530305041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128031878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03816093,0.039111357,0.49159196,0.22706933,0.0034103019,0.000351591,0.00018268764,0.00027490954,0.19984695],"genre_scores_gemma":[0.88930595,0.009697461,0.08455966,0.010684139,0.0014077598,0.000651967,0.00008769021,0.00014437307,0.0034609844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9380557,0.052837815,0.0012655805,0.0020956274,0.0050948844,0.0006504029],"domain_scores_gemma":[0.8931887,0.08993742,0.0041183666,0.005305515,0.006115259,0.0013346665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.060258426,0.0008615617,0.0012495004,0.008663839,0.00679571,0.018930934,0.0026295234,0.0042885356,0.0031503157],"category_scores_gemma":[0.050928883,0.0006836594,0.00065422314,0.0069879023,0.092455395,0.031656347,0.011628784,0.0068124435,0.0005192398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009514961,0.00000769043,0.00012273947,0.0001643067,0.0000052800738,0.000031062533,0.010542564,0.00013356714,0.00006696932,0.98280966,0.0010075925,0.0050989874],"study_design_scores_gemma":[0.00001268417,0.000018213646,0.00011385929,0.0007179705,0.0000089898185,0.00006962177,0.008081141,0.0006671788,0.00019387688,0.96396536,0.026140362,0.000010747733],"about_ca_topic_score_codex":0.0010772644,"about_ca_topic_score_gemma":0.00088892865,"teacher_disagreement_score":0.060258426,"about_ca_system_score_codex":0.009139756,"about_ca_system_score_gemma":0.007731015,"threshold_uncertainty_score":0.31868088},"labels":[],"label_agreement":null},{"id":"W3128042794","doi":"10.1109/itt51279.2020.9320894","title":"Collaborative Ontologies in Social Tagging Tools: A Literature Review of Natural Folksonomy","year":2020,"lang":"en","type":"review","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Ontario Tech University","funders":"","keywords":"Folksonomy; Computer science; World Wide Web; Information retrieval; Tag cloud; Taxonomy (biology); Tag system; Social web; Data science; Social media; Data mining; Visualization","score_opus":0.04488196649695084,"score_gpt":0.3501470728572654,"score_spread":0.30526510636031456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128042794","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002892975,0.99438924,0.0017120296,0.0005958769,0.00017419264,0.000013106415,0.000029894069,0.000016934422,0.0027793383],"genre_scores_gemma":[0.002688224,0.9944207,0.0019245814,0.00024913903,0.00019841587,0.000022520815,0.00006123141,0.000008382021,0.00042686347],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986267,0.00043902246,0.00017739937,0.00021860405,0.0004681408,0.00007020763],"domain_scores_gemma":[0.99259925,0.0056244433,0.0003907365,0.0002112766,0.0010461069,0.00012819169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034518633,0.001078624,0.0016656314,0.009715677,0.00093313644,0.0027141052,0.0011111007,0.0017663309,0.0030899064],"category_scores_gemma":[0.0067510367,0.00066574704,0.00083664746,0.015787316,0.0017215572,0.0060480926,0.0018835416,0.0015067777,0.0016914039],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029941557,0.00006042999,0.0004683496,0.025573704,0.00009103709,0.00009921406,0.0005325269,0.00043709617,0.000344493,0.024790425,0.01427864,0.933294],"study_design_scores_gemma":[0.000008688181,0.000058815403,0.0017614048,0.027147138,0.00022329378,0.0008811544,0.00083947217,0.00046537162,0.0005444791,0.02109444,0.946914,0.000061647064],"about_ca_topic_score_codex":0.0039708456,"about_ca_topic_score_gemma":0.005708324,"teacher_disagreement_score":0.009715677,"about_ca_system_score_codex":0.00196617,"about_ca_system_score_gemma":0.0037767729,"threshold_uncertainty_score":0.018255472},"labels":[],"label_agreement":null},{"id":"W3133083442","doi":"10.7202/1076207ar","title":"John D. Caputo, \"Hermeneutics: Facts and Interpretation in the Age of Information.\"","year":2021,"lang":"en","type":"article","venue":"Philosophy in Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hermeneutics; Interpretation (philosophy); Philosophy; Epistemology; Linguistics","score_opus":0.03436119299896846,"score_gpt":0.2862577110685876,"score_spread":0.25189651806961916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133083442","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032963767,0.8720182,0.003643989,0.09497441,0.00945145,0.000026664733,0.00015542853,0.000070888345,0.019329213],"genre_scores_gemma":[0.020705873,0.8868709,0.0043484964,0.052508026,0.015609135,0.00012271646,0.00021676233,0.000117322095,0.019500699],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99747866,0.0008921412,0.00020144969,0.00023983575,0.0010806674,0.00010726497],"domain_scores_gemma":[0.9955686,0.0028766177,0.00022344645,0.00014684166,0.0010503446,0.00013421747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031078027,0.0013276119,0.00097340136,0.004281019,0.0026527871,0.004383654,0.0018200706,0.0050690616,0.004813929],"category_scores_gemma":[0.008224196,0.00072129397,0.00077370997,0.005019161,0.0069415397,0.01004084,0.0015675306,0.0067245495,0.0029372647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005214302,0.00002989537,0.0003122292,0.0016167018,0.000038745853,0.00014101231,0.002192877,0.00022405815,0.00012350902,0.21457464,0.7218007,0.058893457],"study_design_scores_gemma":[0.000023316905,0.000014131444,0.0010647745,0.0022894547,0.00003367489,0.00023346467,0.0006510993,0.00016503561,0.0003715946,0.13147493,0.8636449,0.000033608572],"about_ca_topic_score_codex":0.02487696,"about_ca_topic_score_gemma":0.03403755,"teacher_disagreement_score":0.02487696,"about_ca_system_score_codex":0.0039442265,"about_ca_system_score_gemma":0.003984347,"threshold_uncertainty_score":0.049464285},"labels":[],"label_agreement":null},{"id":"W3135634956","doi":"10.3233/ao-210244","title":"Roles and their three facets: A foundational perspective","year":2021,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Perspective (graphical); Ontology; Computer science; Epistemology; Cognitive science; Representation (politics); Conceptualism; Facet (psychology); Knowledge management; Artificial intelligence; Psychology; Social psychology; Philosophy","score_opus":0.01653857067537043,"score_gpt":0.2421343735490823,"score_spread":0.22559580287371186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135634956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022889609,0.011720896,0.6154318,0.025281822,0.00075904874,0.00016231483,0.00022718968,0.00022939974,0.32329783],"genre_scores_gemma":[0.80656475,0.0066727805,0.17034347,0.0024920823,0.00074680446,0.000336533,0.00030875936,0.0001196054,0.012415291],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945667,0.002668081,0.00039097294,0.00073684973,0.0011731074,0.00046434766],"domain_scores_gemma":[0.99557906,0.002102037,0.0002859704,0.0009594795,0.0006350632,0.00043831216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067829415,0.0007685492,0.0007761543,0.0037121768,0.004787257,0.012468604,0.0017832724,0.0027466202,0.003042518],"category_scores_gemma":[0.0052365735,0.000707007,0.0012471819,0.0024079997,0.03075811,0.024411434,0.0053604324,0.0051616994,0.0005668995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002165907,0.0000022847582,0.00005239341,0.000011917738,0.0000017411569,0.000012725057,0.00066202594,0.00008651768,0.000035625122,0.99710876,0.00014178205,0.0018820491],"study_design_scores_gemma":[0.0000043247537,0.0000065130243,0.00012768865,0.00007980948,0.000007860156,0.00006998703,0.0011156831,0.0008560601,0.00008427359,0.96831405,0.029325454,0.000008366814],"about_ca_topic_score_codex":0.0072710337,"about_ca_topic_score_gemma":0.0045893677,"teacher_disagreement_score":0.012468604,"about_ca_system_score_codex":0.0051347665,"about_ca_system_score_gemma":0.0036064363,"threshold_uncertainty_score":0.037255466},"labels":[],"label_agreement":null},{"id":"W3135988539","doi":"10.1145/3255415","title":"Session details: Document transformation","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Session (web analytics); Computer science; Transformation (genetics); Information retrieval; Multimedia; World Wide Web","score_opus":0.01717741291718839,"score_gpt":0.27591913526969564,"score_spread":0.25874172235250725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135988539","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031805648,0.0018253764,0.045093294,0.007934107,0.016419413,0.00291057,0.07745066,0.06542154,0.77976453],"genre_scores_gemma":[0.020084558,0.001736844,0.018035203,0.0014156781,0.0015745446,0.0008545149,0.06474002,0.015179499,0.8763792],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832445,0.00042564733,0.00014514981,0.00033763726,0.00058503763,0.00018199337],"domain_scores_gemma":[0.99492455,0.0010917907,0.00012834674,0.002235142,0.0010633989,0.0005568066],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002446678,0.0015500144,0.0017772177,0.0019134069,0.0021843934,0.007172599,0.0016557998,0.002390838,0.81060225],"category_scores_gemma":[0.008924971,0.0006747179,0.0017653955,0.00325686,0.000592986,0.0043584695,0.003912658,0.0020516014,0.779653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024390702,0.00009302403,0.00011731717,0.00019500096,0.000013167468,0.000057489062,0.00005387629,0.00007934133,0.002222961,0.0023914836,0.93237567,0.06215668],"study_design_scores_gemma":[0.00007880237,0.00003922424,0.0004364301,0.000068010326,0.000015668591,0.00012448498,0.00008152293,0.0005532389,0.0034699906,0.00211807,0.9929923,0.000022193995],"about_ca_topic_score_codex":0.0026813033,"about_ca_topic_score_gemma":0.002547606,"teacher_disagreement_score":0.18939775,"about_ca_system_score_codex":0.0010841035,"about_ca_system_score_gemma":0.0019956497,"threshold_uncertainty_score":0.27015293},"labels":[],"label_agreement":null},{"id":"W3136171887","doi":"","title":"9th International Joint Conference on Automated Reasoning , IJCAR 2018","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Joint (building); Computer science; Artificial intelligence; Engineering; Civil engineering","score_opus":0.03281917553659507,"score_gpt":0.2604618429274626,"score_spread":0.22764266739086753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136171887","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0070143766,0.019863538,0.7563707,0.019254098,0.040224854,0.0006870881,0.0058012363,0.024213301,0.12657091],"genre_scores_gemma":[0.07249663,0.014446793,0.6204332,0.0045869187,0.008830175,0.0008391158,0.02874183,0.008778453,0.24084693],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9924899,0.002083691,0.00090124895,0.0017214859,0.002291112,0.00051255774],"domain_scores_gemma":[0.9853184,0.0038146612,0.00034543982,0.005804658,0.003977103,0.0007398045],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008369097,0.0019901935,0.002917027,0.004469114,0.0026882053,0.014593484,0.0045671565,0.0037950198,0.10636389],"category_scores_gemma":[0.021894349,0.0012883609,0.003970463,0.0037709107,0.0029545142,0.010608688,0.0070419325,0.004935734,0.04455787],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004561435,0.00050728064,0.00088223605,0.00088747556,0.00023868718,0.00036353405,0.00028061518,0.003211022,0.0024866757,0.09344798,0.44256276,0.45467559],"study_design_scores_gemma":[0.00008164086,0.000081293336,0.0006785379,0.00041215084,0.00018954085,0.0005408071,0.00020280806,0.02759204,0.003449262,0.1668944,0.79981744,0.000059937604],"about_ca_topic_score_codex":0.006908613,"about_ca_topic_score_gemma":0.005952217,"teacher_disagreement_score":0.8936361,"about_ca_system_score_codex":0.0026162758,"about_ca_system_score_gemma":0.0068093278,"threshold_uncertainty_score":0.35582268},"labels":[],"label_agreement":null},{"id":"W3136443642","doi":"10.1145/3245016","title":"Session details: Using the semantic web","year":2003,"lang":"en","type":"article","venue":"The Web Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Session (web analytics); Semantic Web; World Wide Web; Semantic Web Stack; Information retrieval","score_opus":0.06571252237588661,"score_gpt":0.28401410336775423,"score_spread":0.21830158099186764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136443642","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032262844,0.006112599,0.025327941,0.034669686,0.065591216,0.0010566342,0.010665422,0.007812453,0.8455378],"genre_scores_gemma":[0.015470001,0.005192556,0.0062934784,0.0054093255,0.014200919,0.00043476466,0.0072824312,0.0030085014,0.942708],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992347,0.0002023366,0.000043378754,0.00012224956,0.0002732916,0.00012411704],"domain_scores_gemma":[0.9970187,0.0008251669,0.000094181174,0.00043458157,0.0006425355,0.0009849205],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029114156,0.0009527172,0.0014389416,0.0011552799,0.002843533,0.008945958,0.0010993048,0.0033048198,0.55422753],"category_scores_gemma":[0.0036873657,0.00041156964,0.0014589833,0.0021300642,0.00065852416,0.0067779156,0.0034303393,0.002799252,0.26349548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012436663,0.00006144735,0.00016785838,0.00011754007,0.000013123295,0.000035516867,0.00007308084,0.00004807229,0.0006012725,0.0024076363,0.9535914,0.042758662],"study_design_scores_gemma":[0.000028177148,0.000027630045,0.00057036453,0.00005551228,0.000014205431,0.000049417926,0.00008528097,0.00023887663,0.00047222376,0.001892883,0.99654996,0.000015442336],"about_ca_topic_score_codex":0.002209589,"about_ca_topic_score_gemma":0.0045949975,"teacher_disagreement_score":0.44577247,"about_ca_system_score_codex":0.0005500084,"about_ca_system_score_gemma":0.0012398467,"threshold_uncertainty_score":0.6358403},"labels":[],"label_agreement":null},{"id":"W3137083016","doi":"10.5555/2872518.3251222","title":"Session details: USEWOD'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Session (web analytics); Linked data; Publication; SPARQL; Semantic Web; Field (mathematics); Information retrieval; Resource (disambiguation); Data science; RDF","score_opus":0.046300433808372427,"score_gpt":0.26252167115386454,"score_spread":0.21622123734549212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137083016","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019549748,0.0024913999,0.013893182,0.020190734,0.074084945,0.0034690218,0.18456882,0.027346253,0.67200065],"genre_scores_gemma":[0.004845178,0.0012281715,0.006380737,0.0066456343,0.0058865775,0.004218383,0.10961398,0.014246939,0.8469344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996079,0.0008703259,0.00023770137,0.0009931077,0.0011938164,0.00062599574],"domain_scores_gemma":[0.98936534,0.0009906421,0.00023795055,0.0019062867,0.0030904072,0.0044092555],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007398751,0.0016873803,0.0018351167,0.002366376,0.0034221315,0.009653723,0.0031400542,0.002779985,0.7349582],"category_scores_gemma":[0.014801072,0.00078786566,0.0019010277,0.0026943074,0.0007094294,0.008021953,0.0100744385,0.0035884073,0.66154534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053156662,0.000014956764,0.000066747445,0.00006403252,0.0000022914116,0.000012113027,0.00003474701,0.000009698317,0.00010009806,0.000283355,0.9896125,0.00974608],"study_design_scores_gemma":[0.0000106995,0.00000808749,0.000187581,0.000043362576,0.0000010314893,0.000007964877,0.00004559201,0.000021509702,0.000052329153,0.00022102887,0.99939466,0.0000060891166],"about_ca_topic_score_codex":0.0056587732,"about_ca_topic_score_gemma":0.012715235,"teacher_disagreement_score":0.26504183,"about_ca_system_score_codex":0.0021152464,"about_ca_system_score_gemma":0.003807649,"threshold_uncertainty_score":0.37804997},"labels":[],"label_agreement":null},{"id":"W3137551159","doi":"10.1145/3249673","title":"Session details: Semantic web ontologies, rules, and services track","year":2006,"lang":"en","type":"article","venue":"International Conference on Electronic Commerce","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of New Brunswick","funders":"","keywords":"Computer science; Session (web analytics); Semantic Web; World Wide Web; Semantic Web Stack; Semantic analytics; Track (disk drive); Social Semantic Web; Information retrieval","score_opus":0.02349412625106163,"score_gpt":0.27722528993522494,"score_spread":0.2537311636841633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137551159","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044908286,0.006825532,0.040942002,0.026434,0.06954056,0.0045901476,0.07794255,0.019012682,0.7502217],"genre_scores_gemma":[0.0071414905,0.0037274272,0.006640046,0.002799634,0.006570252,0.00090067316,0.051222578,0.0023408518,0.918657],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986665,0.00015087884,0.00007787879,0.00028783857,0.00060157024,0.0002153401],"domain_scores_gemma":[0.9960134,0.0006304904,0.000103752864,0.00050437887,0.001355306,0.0013926122],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0049154363,0.0022041113,0.004607564,0.0030360753,0.004854125,0.015868265,0.0028205402,0.006374319,0.5614991],"category_scores_gemma":[0.0036832218,0.00087606435,0.002385746,0.006933242,0.00083554356,0.008820105,0.0040534195,0.004851451,0.395538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010680538,0.000121458106,0.00015889177,0.00014978691,0.000014289175,0.000028258322,0.000028149872,0.00008881151,0.00036450397,0.0016259318,0.96807903,0.0292341],"study_design_scores_gemma":[0.00014287408,0.000095369825,0.0009182063,0.00010687363,0.00003200542,0.00005118623,0.00007637331,0.0011236278,0.00084657973,0.0022040145,0.99436766,0.00003530619],"about_ca_topic_score_codex":0.013358611,"about_ca_topic_score_gemma":0.021404296,"teacher_disagreement_score":0.5614991,"about_ca_system_score_codex":0.002008333,"about_ca_system_score_gemma":0.005079415,"threshold_uncertainty_score":0.62546825},"labels":[],"label_agreement":null},{"id":"W3138240437","doi":"10.14778/3407790.3407806","title":"Knowledge translation","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Heuristics; SPARQL; Set (abstract data type); Ranking (information retrieval); Information retrieval; Translation (biology); Rank (graph theory); Semantic mapping; Natural language processing; Artificial intelligence; Data mining; Semantic Web; RDF; Programming language; Mathematics","score_opus":0.08498789382318941,"score_gpt":0.2627009697317941,"score_spread":0.17771307590860466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138240437","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069026733,0.0010739645,0.7895723,0.0016362921,0.0009606701,0.0012333372,0.012460714,0.03269364,0.15346637],"genre_scores_gemma":[0.093345165,0.0015302125,0.80689275,0.0015232309,0.000191604,0.0011826081,0.03941097,0.005621496,0.050301965],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99671006,0.0009230309,0.00041793514,0.0006296977,0.001073848,0.00024544128],"domain_scores_gemma":[0.9950441,0.001474154,0.00016776264,0.0020664698,0.0010809039,0.00016665852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021569652,0.0013894526,0.0008219644,0.0038340841,0.0013497486,0.0052714706,0.002831423,0.001351386,0.05820124],"category_scores_gemma":[0.012835623,0.0007888001,0.0017035591,0.0036941215,0.0009768091,0.004581895,0.006228174,0.0017553346,0.026881317],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025736226,0.00031431502,0.001022171,0.0013094499,0.00016628572,0.0009141852,0.0012227552,0.0091300905,0.0055744974,0.17963459,0.13247654,0.6679778],"study_design_scores_gemma":[0.00007696357,0.00007677459,0.0005012499,0.0003806632,0.0000618671,0.0006998901,0.0008182205,0.027236156,0.011098335,0.16882679,0.7901568,0.00006626057],"about_ca_topic_score_codex":0.0029182548,"about_ca_topic_score_gemma":0.0031804678,"teacher_disagreement_score":0.05820124,"about_ca_system_score_codex":0.0013932979,"about_ca_system_score_gemma":0.0024245554,"threshold_uncertainty_score":0.19470257},"labels":[],"label_agreement":null},{"id":"W3138335537","doi":"10.1145/3249246","title":"Session details: Semantic interfaces and OWL tools","year":2004,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Session (web analytics); OWL-S; Semantic Web; World Wide Web; Human–computer interaction; Semantic Web Stack","score_opus":0.03083755169148441,"score_gpt":0.2654346115182246,"score_spread":0.2345970598267402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138335537","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022692874,0.0021152145,0.07036082,0.010098475,0.010379181,0.001301453,0.036283202,0.02160493,0.84558743],"genre_scores_gemma":[0.018807624,0.0036027909,0.028542183,0.0021302472,0.002446287,0.0008527054,0.045245692,0.007425253,0.89094716],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992034,0.00020587411,0.000057390243,0.00013341864,0.0002732739,0.00012668678],"domain_scores_gemma":[0.9976699,0.0008873724,0.000057459005,0.0005268093,0.00042077957,0.00043774018],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024105578,0.0014552645,0.0016964378,0.0011736752,0.0021013182,0.005991406,0.0014869878,0.0033146383,0.722333],"category_scores_gemma":[0.0047936854,0.0005524605,0.0016128347,0.0027663314,0.00057379,0.0062794136,0.0030579881,0.0026607509,0.53850645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019534465,0.000121841425,0.00015594176,0.00022149722,0.000015778996,0.00007222501,0.00014142739,0.00008963125,0.0017746675,0.010936904,0.92577773,0.060497005],"study_design_scores_gemma":[0.00006180646,0.00003441521,0.00037618374,0.00008545461,0.000017920906,0.000100584184,0.00010539805,0.00060691964,0.0011543483,0.0071109505,0.9903216,0.0000245266],"about_ca_topic_score_codex":0.0027190153,"about_ca_topic_score_gemma":0.0037420664,"teacher_disagreement_score":0.722333,"about_ca_system_score_codex":0.00070959463,"about_ca_system_score_gemma":0.00132516,"threshold_uncertainty_score":0.3960582},"labels":[],"label_agreement":null},{"id":"W3138422238","doi":"10.5194/egusphere-egu21-2708","title":"WEIR-P: An Information Extraction Pipeline for the Wastewater Domain","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canarie","funders":"","keywords":"Wastewater; Pipeline (software); Sanitation; Domain (mathematical analysis); Engineering; Computer science; Environmental engineering; Mathematics; Operating system","score_opus":0.029016040249760903,"score_gpt":0.28817927812209376,"score_spread":0.25916323787233286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138422238","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053211204,0.0013086235,0.47694674,0.0010748738,0.00026157548,0.0016016718,0.18435496,0.3166728,0.012457614],"genre_scores_gemma":[0.020120122,0.0011437475,0.7209197,0.00039475327,0.00010540611,0.0014367222,0.22647387,0.014037443,0.01536819],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811697,0.00030228024,0.0002855999,0.000540374,0.00059976283,0.00015501682],"domain_scores_gemma":[0.9966499,0.0013453456,0.00025598952,0.00067085534,0.00091651734,0.00016131911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003275348,0.00285571,0.0013371934,0.01026914,0.0014079203,0.0037622938,0.0018940802,0.0012774713,0.05230753],"category_scores_gemma":[0.012027046,0.0014934132,0.00286526,0.008468639,0.0005758206,0.0056009092,0.0048671146,0.0022733968,0.061906382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055395445,0.00027721204,0.0053325463,0.003114136,0.0003435582,0.0010149486,0.0014180092,0.0031018725,0.011629507,0.010328484,0.42563838,0.5372475],"study_design_scores_gemma":[0.00023702161,0.00035333232,0.009443736,0.0005382757,0.00018877523,0.00090596464,0.0013887279,0.053947035,0.026545007,0.05168531,0.8545264,0.00024038939],"about_ca_topic_score_codex":0.005393956,"about_ca_topic_score_gemma":0.008434154,"teacher_disagreement_score":0.05230753,"about_ca_system_score_codex":0.001051681,"about_ca_system_score_gemma":0.004292661,"threshold_uncertainty_score":0.17498612},"labels":[],"label_agreement":null},{"id":"W3141691381","doi":"","title":"Keep@Downsview: an evolving shared print project","year":2021,"lang":"en","type":"article","venue":"Digital Commons - DU (University of Denver)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.025805064343260388,"score_gpt":0.21867866364743163,"score_spread":0.19287359930417125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141691381","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20178138,0.0023187066,0.0837815,0.15814044,0.0016339581,0.0014372471,0.001128868,0.002367318,0.5474106],"genre_scores_gemma":[0.56958264,0.0011274117,0.109988615,0.00820749,0.00018606435,0.00039642202,0.0012205719,0.0012080973,0.3080827],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9766733,0.0072099715,0.00046547345,0.0021152194,0.0099066375,0.0036293294],"domain_scores_gemma":[0.9587967,0.0061965394,0.0007911301,0.0042385883,0.0093381405,0.020638907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028026776,0.00044768996,0.00035073186,0.0022967227,0.02876479,0.017821934,0.0044497102,0.003785405,0.016454495],"category_scores_gemma":[0.017171461,0.0005470834,0.00053199753,0.0034927076,0.01964855,0.012970527,0.018679183,0.0038387312,0.0022917413],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030200277,0.0007425106,0.010309851,0.00028294203,0.000039031424,0.0019652708,0.11956963,0.0017003599,0.004628186,0.38348877,0.16253446,0.31443706],"study_design_scores_gemma":[0.000032701828,0.00013268413,0.003234238,0.00015806628,0.000010937654,0.00039392908,0.097066246,0.0010843672,0.0015003992,0.016326834,0.8799788,0.000080829646],"about_ca_topic_score_codex":0.47133997,"about_ca_topic_score_gemma":0.6322302,"teacher_disagreement_score":0.47133997,"about_ca_system_score_codex":0.03487392,"about_ca_system_score_gemma":0.123533435,"threshold_uncertainty_score":0.9371929},"labels":[],"label_agreement":null},{"id":"W3143000030","doi":"10.1109/icse.2012.6227071","title":"When open source turns cold on innovation — The challenges of navigating licensing complexities in new research domains","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Open source; Publication; Open source software; Computer science; The Internet; World Wide Web; Source code; Open platform; Open data; Software; Open research; Data source; Data science; Software engineering; Database; Business; Operating system","score_opus":0.291444006648466,"score_gpt":0.40904186887346117,"score_spread":0.11759786222499519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143000030","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06290266,0.007605988,0.21529064,0.45286107,0.0021705665,0.00020037274,0.00017891025,0.00078592316,0.25800386],"genre_scores_gemma":[0.8905026,0.0056799096,0.051794212,0.02864736,0.0025311518,0.00055593863,0.00014960117,0.0010524848,0.019086823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95442635,0.020573614,0.00264711,0.0045288764,0.013677315,0.0041467715],"domain_scores_gemma":[0.72027737,0.20925772,0.015311526,0.02580364,0.01791941,0.011430288],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.09552026,0.00050521287,0.0016467802,0.005949357,0.012222642,0.036711376,0.0041583776,0.011745386,0.013867111],"category_scores_gemma":[0.22449929,0.0012310499,0.0012558098,0.0053912676,0.054794103,0.100317635,0.027488295,0.0148141505,0.0027070646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003195126,0.000037575617,0.0015759084,0.00014111331,0.000016128877,0.00030133617,0.006642125,0.0007144278,0.0003719362,0.9428771,0.008014304,0.039276063],"study_design_scores_gemma":[0.000013516096,0.000015429567,0.00058560295,0.0002312775,0.0000065422864,0.00012975717,0.005037455,0.0008415975,0.00019967469,0.956071,0.03683297,0.000035281366],"about_ca_topic_score_codex":0.004959663,"about_ca_topic_score_gemma":0.005795756,"teacher_disagreement_score":0.9958416,"about_ca_system_score_codex":0.009235529,"about_ca_system_score_gemma":0.014664074,"threshold_uncertainty_score":0.50516546},"labels":[],"label_agreement":null},{"id":"W3143989045","doi":"","title":"The Reuse of a Financial Ontology Driven by Competency Questions","year":2020,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ontology; Reuse; Business; Knowledge management; Data science; Finance; Computer science; Engineering; Epistemology","score_opus":0.01443010816635509,"score_gpt":0.30316113007987955,"score_spread":0.28873102191352445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143989045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26891708,0.00060032884,0.6162471,0.0056846724,0.000087232416,0.00040313555,0.00024822511,0.0005973341,0.10721487],"genre_scores_gemma":[0.74316555,0.00030887497,0.24191731,0.0002618628,0.000018110832,0.00011763503,0.00036915162,0.00014192524,0.013699632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99667054,0.0015386152,0.00023074813,0.00036001106,0.0008911044,0.00030899106],"domain_scores_gemma":[0.9949473,0.002170599,0.00038046145,0.0011710788,0.0010364471,0.00029396126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006015841,0.0003029116,0.00032137803,0.0021379865,0.0020411536,0.004609137,0.0010857396,0.0012012429,0.0021826988],"category_scores_gemma":[0.011578715,0.00030613126,0.0009798524,0.0017326567,0.0032529149,0.0069541372,0.0037750655,0.001132993,0.00036508968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062711304,0.00014979752,0.0055449093,0.00022862032,0.000033369117,0.0013577718,0.029677667,0.008436202,0.008098441,0.7858571,0.003384948,0.15716855],"study_design_scores_gemma":[0.000038566937,0.00014311493,0.009566616,0.0005333749,0.00013480094,0.0021921152,0.03721593,0.15411648,0.020152345,0.5262601,0.2494958,0.0001508185],"about_ca_topic_score_codex":0.025150457,"about_ca_topic_score_gemma":0.022187587,"teacher_disagreement_score":0.025150457,"about_ca_system_score_codex":0.0039047028,"about_ca_system_score_gemma":0.006824343,"threshold_uncertainty_score":0.05000812},"labels":[],"label_agreement":null},{"id":"W3144073117","doi":"10.29173/jchla29501","title":"Information Resource Description: Creating and Managing Metadata. Second Edition. (book review)","year":2021,"lang":"en","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metadata; World Wide Web; Computer science; Resource (disambiguation); Information resource; Library science; Information retrieval; Knowledge management","score_opus":0.00525536276704158,"score_gpt":0.21694869708773243,"score_spread":0.21169333432069085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144073117","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020183706,0.91588396,0.014269406,0.014343395,0.010082258,0.000224225,0.0037810921,0.0017420853,0.039471753],"genre_scores_gemma":[0.0019797394,0.84516555,0.025893152,0.008907753,0.004617383,0.00037238453,0.009000154,0.00069233304,0.10337147],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980286,0.00022402334,0.00020387718,0.00016906236,0.0012634941,0.0001108314],"domain_scores_gemma":[0.99426454,0.0020281454,0.0003443265,0.00036401884,0.0027420141,0.00025704224],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0035048155,0.0014982896,0.0019588573,0.011683987,0.00081806845,0.003847504,0.0037243546,0.0024377261,0.026833508],"category_scores_gemma":[0.006482868,0.0014157466,0.0011040185,0.015689379,0.002075083,0.0104055,0.0018165758,0.0032871799,0.03831342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010694363,0.000012953614,0.00006497594,0.0018377574,0.000017736214,0.000026711456,0.000053972926,0.00009571616,0.0003198066,0.0036079353,0.74993414,0.24401759],"study_design_scores_gemma":[0.000003713652,0.0000061866963,0.0002638673,0.0010087703,0.000013763668,0.00020408118,0.00004189341,0.000056233606,0.00015891844,0.0013906932,0.99684024,0.00001163864],"about_ca_topic_score_codex":0.044432737,"about_ca_topic_score_gemma":0.0753891,"teacher_disagreement_score":0.9961525,"about_ca_system_score_codex":0.003599455,"about_ca_system_score_gemma":0.006566825,"threshold_uncertainty_score":0.08976704},"labels":[],"label_agreement":null},{"id":"W3145387214","doi":"10.29173/iasl7796","title":"Ontological Model of School Librarianship Based on Collaboration","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ontology; Conceptualization; Vocabulary; Information literacy; Computer science; Curriculum; Croatian; School library; Set (abstract data type); Sociology; Library science; World Wide Web; Knowledge management; Pedagogy; Linguistics; Artificial intelligence; Epistemology","score_opus":0.06071767259319747,"score_gpt":0.27369056477812875,"score_spread":0.2129728921849313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145387214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05893613,0.0023008026,0.5380341,0.0115133785,0.00034698567,0.00045299422,0.00062696106,0.0003442265,0.38744447],"genre_scores_gemma":[0.7700672,0.0019887781,0.179631,0.00085687207,0.0002426494,0.00061185553,0.00079104473,0.000074498785,0.04573609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965906,0.0013675566,0.00031439375,0.00052898447,0.000848675,0.00034982662],"domain_scores_gemma":[0.99816424,0.00054990826,0.00021305763,0.00036456244,0.00041094812,0.0002971998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026716057,0.0003207108,0.00050384225,0.0035417697,0.0037328089,0.0066426196,0.002072401,0.002106516,0.005196438],"category_scores_gemma":[0.003172983,0.00030132453,0.001235062,0.0031070672,0.0042956313,0.010059689,0.0050710146,0.0013572675,0.001189651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006578689,0.000021371354,0.0004310632,0.000031699816,0.0000067643978,0.00016030151,0.0014484059,0.0016571308,0.00012363844,0.9905577,0.00070747844,0.004847755],"study_design_scores_gemma":[0.00003149452,0.0000318319,0.00095138734,0.00014592752,0.000050144845,0.0007462435,0.003301898,0.03812517,0.00036792058,0.83894384,0.11726706,0.00003705978],"about_ca_topic_score_codex":0.008758567,"about_ca_topic_score_gemma":0.0047475607,"teacher_disagreement_score":0.008758567,"about_ca_system_score_codex":0.0030522891,"about_ca_system_score_gemma":0.0048563275,"threshold_uncertainty_score":0.022146046},"labels":[],"label_agreement":null},{"id":"W3146292709","doi":"10.1109/ccwc51732.2021.9376163","title":"An Ontology-Based Approach for Curriculum Mapping in Higher Education","year":2021,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Computer science; Curriculum; Knowledge management; Accreditation; Upper ontology; Ontology-based data integration; Process ontology; Knowledge representation and reasoning; Semantic Web; Domain knowledge; Data science; World Wide Web; Artificial intelligence; Pedagogy; Sociology","score_opus":0.05484760205220613,"score_gpt":0.2966719089991828,"score_spread":0.24182430694697665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146292709","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002130086,0.00025580663,0.985385,0.0012254358,0.00008225727,0.00021275686,0.00017244913,0.00038332757,0.010152934],"genre_scores_gemma":[0.046293356,0.0005101859,0.94698864,0.0002973891,0.00003617244,0.0002971997,0.0006001163,0.00009258705,0.0048844633],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957867,0.0015266106,0.0004588978,0.0005905962,0.0014170518,0.00022011816],"domain_scores_gemma":[0.99805284,0.0007281385,0.00017786461,0.0004886309,0.00039385812,0.00015869364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005284198,0.0005899719,0.00060772424,0.0048486525,0.0029215366,0.006117891,0.0026902782,0.0020766763,0.0030470279],"category_scores_gemma":[0.004850001,0.0007735751,0.0025052975,0.005810044,0.0031669738,0.008716635,0.0055797533,0.003133866,0.00082416675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024324141,0.00015001734,0.00068258145,0.00023633541,0.00007939743,0.0005415852,0.00303136,0.0095653795,0.0025996265,0.8907574,0.004986496,0.08734552],"study_design_scores_gemma":[0.000033880384,0.0000450135,0.0008678197,0.00040927064,0.0001297416,0.00084976444,0.0025777589,0.11087425,0.0042093624,0.616808,0.26310074,0.0000944],"about_ca_topic_score_codex":0.015073358,"about_ca_topic_score_gemma":0.020882023,"teacher_disagreement_score":0.015073358,"about_ca_system_score_codex":0.0034935588,"about_ca_system_score_gemma":0.0059977337,"threshold_uncertainty_score":0.029971242},"labels":[],"label_agreement":null},{"id":"W3157438777","doi":"","title":"Diffbot's Fine-Grained Entity Typing System for TAC KBP 2019.","year":2019,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Typing; Speech recognition","score_opus":0.007969220921041397,"score_gpt":0.23754945101051814,"score_spread":0.22958023008947673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157438777","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008038496,0.0006690179,0.7071284,0.0010864318,0.0009871487,0.00052405003,0.017902559,0.24366036,0.020003442],"genre_scores_gemma":[0.101474866,0.0005472001,0.7459683,0.0015424269,0.00022150438,0.00068475463,0.06826845,0.033253126,0.04803946],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961099,0.00080348906,0.000733953,0.00072055834,0.0013274169,0.00030465377],"domain_scores_gemma":[0.9925162,0.0025000668,0.00028016846,0.0028486412,0.0015320966,0.00032282888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005315464,0.0012104858,0.0012262231,0.0042359717,0.0015767067,0.0049902922,0.0039270385,0.0019989726,0.023371734],"category_scores_gemma":[0.019825537,0.0019311586,0.0013420761,0.0036564593,0.0011792476,0.009178165,0.006519935,0.00283554,0.018915545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011036305,0.000306656,0.0032941785,0.0009879196,0.00021110396,0.00069233705,0.0014178777,0.0037626012,0.012380199,0.105084896,0.39264673,0.4781119],"study_design_scores_gemma":[0.00025608935,0.00014892101,0.002385303,0.00042146284,0.00014997298,0.0008110447,0.0005002972,0.10762565,0.031491153,0.13859515,0.7173296,0.00028538145],"about_ca_topic_score_codex":0.015617222,"about_ca_topic_score_gemma":0.019496538,"teacher_disagreement_score":0.023371734,"about_ca_system_score_codex":0.0014808056,"about_ca_system_score_gemma":0.003307062,"threshold_uncertainty_score":0.078186214},"labels":[],"label_agreement":null},{"id":"W3157501258","doi":"","title":"RAMFIS: Integrating Diverse TA1's.","year":2019,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.008724827481580879,"score_gpt":0.24131714741513943,"score_spread":0.23259231993355856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157501258","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013911845,0.0017960492,0.64231163,0.0011942129,0.00097239536,0.00043747254,0.025489537,0.24971281,0.06417401],"genre_scores_gemma":[0.12509601,0.0020266937,0.69778657,0.0009778963,0.00033059396,0.00074994715,0.106741086,0.023181686,0.043109465],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981667,0.00036122644,0.00019959264,0.0004119344,0.0006386971,0.00022180483],"domain_scores_gemma":[0.99735874,0.0007345811,0.00013172442,0.0009885392,0.0006057538,0.00018064138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031448517,0.0014487657,0.00096006383,0.004932517,0.0010950634,0.005675169,0.0031632143,0.0016023346,0.032326777],"category_scores_gemma":[0.009366543,0.0006900787,0.0026759377,0.0037674461,0.0006635032,0.0068274555,0.005257951,0.0020333787,0.021079233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010163499,0.0003249038,0.005546836,0.0018483716,0.0005994572,0.000667629,0.0017634912,0.0071481024,0.009899311,0.13278486,0.21175064,0.62665004],"study_design_scores_gemma":[0.00010936029,0.00016958873,0.0022560866,0.0007143071,0.0005049076,0.0007490473,0.0007999425,0.06558104,0.018863956,0.08695301,0.82311624,0.00018263859],"about_ca_topic_score_codex":0.0068068546,"about_ca_topic_score_gemma":0.010001114,"teacher_disagreement_score":0.032326777,"about_ca_system_score_codex":0.0010175373,"about_ca_system_score_gemma":0.0020193032,"threshold_uncertainty_score":0.108143866},"labels":[],"label_agreement":null},{"id":"W3157985278","doi":"","title":"Building a Flexible Knowledge Graph to Capture Real-World Events.","year":2019,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge graph; Graph; Artificial intelligence; Theoretical computer science","score_opus":0.011673820364688609,"score_gpt":0.28393623525618955,"score_spread":0.27226241489150094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157985278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012508524,0.00024389914,0.9743624,0.00036565508,0.00009374076,0.0002492182,0.0033755624,0.0041105207,0.00469056],"genre_scores_gemma":[0.17229317,0.0004233666,0.8126435,0.00020949247,0.000024727891,0.00023473591,0.011003782,0.00046997686,0.0026972394],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922574,0.00017287527,0.00007357709,0.00025021203,0.00020628142,0.000071293034],"domain_scores_gemma":[0.9982338,0.00065481185,0.0001388368,0.0004771066,0.00037475,0.00012070566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008669127,0.0005524726,0.0004421923,0.004014173,0.0009562771,0.0018401553,0.0015153786,0.0010890746,0.0033610607],"category_scores_gemma":[0.0050077746,0.0005097239,0.0014177555,0.00311678,0.00073390536,0.003883093,0.0025242562,0.0011148338,0.0014351864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020489433,0.0004636502,0.011046803,0.0009579051,0.00031906247,0.0013647258,0.0011305778,0.19032396,0.013591285,0.24974452,0.04784373,0.48300892],"study_design_scores_gemma":[0.00003642252,0.00005813407,0.0021288178,0.00018424258,0.00013638043,0.00036280055,0.0006154124,0.6256637,0.009705422,0.29259622,0.068441816,0.0000706432],"about_ca_topic_score_codex":0.025474017,"about_ca_topic_score_gemma":0.052630857,"teacher_disagreement_score":0.025474017,"about_ca_system_score_codex":0.0010007242,"about_ca_system_score_gemma":0.0024188303,"threshold_uncertainty_score":0.05065149},"labels":[],"label_agreement":null},{"id":"W3158490852","doi":"","title":"Virtual Communication and Capacity-Building Activities in Support of International Scientific Collaboration II eLightning","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting 2020","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Capacity building; Knowledge management; Computer science; Engineering ethics; Engineering; Political science","score_opus":0.02421179178708289,"score_gpt":0.2601049503546851,"score_spread":0.23589315856760223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158490852","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2817353,0.0011532896,0.14641748,0.012010933,0.00079010974,0.00033709384,0.00042263465,0.0019448536,0.55518824],"genre_scores_gemma":[0.9575597,0.00030900113,0.020169673,0.00021220533,0.00008617184,0.00015879082,0.00025103532,0.00011629034,0.021137027],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962895,0.0021572646,0.0001143544,0.00027923216,0.00042485422,0.0007348415],"domain_scores_gemma":[0.9941643,0.0022444485,0.00046770833,0.0006783015,0.00063396455,0.0018114193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046046562,0.00043686398,0.00028387606,0.0014132134,0.0032705395,0.008365354,0.0015103567,0.0015033716,0.019548897],"category_scores_gemma":[0.00880884,0.0002268828,0.00035996613,0.0015990837,0.0015448632,0.005952104,0.009193828,0.0011975585,0.0027050918],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083534874,0.0007074172,0.013355521,0.00055409805,0.000099750825,0.0010101558,0.039457712,0.031783517,0.0056815874,0.41242865,0.03996859,0.45411763],"study_design_scores_gemma":[0.00014386368,0.00062646985,0.015966184,0.0010167087,0.00014619334,0.0007707706,0.06831369,0.06739825,0.008439561,0.27778125,0.5592027,0.0001943912],"about_ca_topic_score_codex":0.0038508063,"about_ca_topic_score_gemma":0.003445385,"teacher_disagreement_score":0.019548897,"about_ca_system_score_codex":0.0020659862,"about_ca_system_score_gemma":0.005711296,"threshold_uncertainty_score":0.06539756},"labels":[],"label_agreement":null},{"id":"W3159285111","doi":"","title":"KB Construction and Hypothesis Generation Using SAMSON.","year":2019,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.019771556422107327,"score_gpt":0.23833432845700078,"score_spread":0.21856277203489347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159285111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016592212,0.0003811551,0.93922126,0.00051723706,0.00029726513,0.0018652704,0.0060784207,0.025890347,0.00915676],"genre_scores_gemma":[0.084317915,0.00014190799,0.89561826,0.00016342718,0.000080917285,0.001628582,0.012815234,0.0009043826,0.0043293484],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99570024,0.0018650594,0.00040387182,0.00094790076,0.00088161527,0.00020132442],"domain_scores_gemma":[0.98775476,0.007915538,0.00034073158,0.0013898191,0.0023345435,0.000264664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060671186,0.0013064432,0.000989322,0.0076273973,0.0015739106,0.0028040812,0.0019425248,0.0011941913,0.028986776],"category_scores_gemma":[0.03493623,0.0008434115,0.0020950632,0.0034924154,0.0008333351,0.0025171884,0.0035542736,0.0014479492,0.008710993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095464155,0.00040406687,0.00671622,0.0018783015,0.00041385973,0.0009870927,0.0020065017,0.0126470355,0.010391323,0.037492376,0.060971566,0.8651369],"study_design_scores_gemma":[0.00046207412,0.00047123263,0.005115914,0.0006257225,0.0006951941,0.0013034778,0.0026405726,0.5989861,0.04726123,0.17377076,0.16851275,0.00015497474],"about_ca_topic_score_codex":0.0026370299,"about_ca_topic_score_gemma":0.0049758865,"teacher_disagreement_score":0.028986776,"about_ca_system_score_codex":0.000915033,"about_ca_system_score_gemma":0.0032680628,"threshold_uncertainty_score":0.09697044},"labels":[],"label_agreement":null},{"id":"W3159836094","doi":"10.1145/3412841.3441959","title":"Taxonomy extraction using knowledge graph embeddings and hierarchical clustering","year":2021,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Axiom; Cluster analysis; Knowledge graph; Taxonomy (biology); Semantic Web; Information retrieval; Graph; Knowledge extraction; Entity linking; Hierarchical clustering; Information extraction; Artificial intelligence; Data mining; Theoretical computer science; Natural language processing; Knowledge base; Mathematics","score_opus":0.06141243123416966,"score_gpt":0.3051442174310978,"score_spread":0.24373178619692815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159836094","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016582523,0.0003530552,0.9745701,0.0002347783,0.00006014065,0.00030272605,0.0021709104,0.0035833453,0.0021424291],"genre_scores_gemma":[0.055977073,0.00021437785,0.93608606,0.00006401023,0.000015187792,0.0001683838,0.006200961,0.00020821675,0.0010656851],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788266,0.00046414428,0.00024379845,0.0006109141,0.00067837175,0.00012004306],"domain_scores_gemma":[0.99563664,0.0015346843,0.00044427492,0.0009562125,0.0013020288,0.00012624878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013049534,0.00112145,0.0007732276,0.008702223,0.0011710676,0.0021586963,0.0012769179,0.0012693706,0.0019086666],"category_scores_gemma":[0.009383823,0.0006222486,0.0016301941,0.007098216,0.000603865,0.004737558,0.002030102,0.0014487354,0.0016607937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013288316,0.00032139252,0.00993053,0.0010242759,0.0003417141,0.0005588675,0.0012300476,0.03314521,0.020311953,0.051338546,0.024860881,0.8568037],"study_design_scores_gemma":[0.00005037835,0.00009741317,0.0058146603,0.00031439902,0.0002108035,0.0009182461,0.0013634721,0.75379103,0.023767393,0.15719195,0.056373697,0.00010648184],"about_ca_topic_score_codex":0.0071386173,"about_ca_topic_score_gemma":0.019463448,"teacher_disagreement_score":0.008702223,"about_ca_system_score_codex":0.0011328274,"about_ca_system_score_gemma":0.0020832077,"threshold_uncertainty_score":0.014194131},"labels":[],"label_agreement":null},{"id":"W3160702395","doi":"10.3233/ssw210007","title":"Chapter 4. A Logical Design Pattern for Change Over Time: Applications in Transportation Planning","year":2021,"lang":"en","type":"book-chapter","venue":"Studies on the semantic web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Operations research; Engineering","score_opus":0.1416146585020617,"score_gpt":0.31469895048171864,"score_spread":0.17308429197965694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160702395","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003410249,0.0036356754,0.8322852,0.005495317,0.00094305165,0.00031955555,0.0020312776,0.0020092665,0.14987032],"genre_scores_gemma":[0.06288564,0.0062246453,0.76886785,0.0016694699,0.00043959467,0.0006798502,0.0036966996,0.0012135741,0.15432277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995988,0.00009959067,0.00005682596,0.000105257546,0.00011238553,0.000027135484],"domain_scores_gemma":[0.9996277,0.00018159495,0.000028553002,0.000057292207,0.000084517655,0.000020282032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007239739,0.000629272,0.00039580508,0.0013180175,0.0011054366,0.0030956003,0.0013138702,0.0013307274,0.02035325],"category_scores_gemma":[0.0014931657,0.0005596645,0.0013063865,0.003465147,0.0014662106,0.004503841,0.0010927212,0.0016696111,0.0037922985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028829158,0.00006770535,0.0004851138,0.00042564597,0.000018584557,0.00019361029,0.001129914,0.004028314,0.0014261822,0.7496309,0.068446405,0.17411862],"study_design_scores_gemma":[0.000010784281,0.000017566323,0.00046411683,0.00025127886,0.000028802131,0.00036002754,0.00043361602,0.011187334,0.0014092758,0.3544085,0.6314088,0.000019797719],"about_ca_topic_score_codex":0.007490873,"about_ca_topic_score_gemma":0.011265489,"teacher_disagreement_score":0.02035325,"about_ca_system_score_codex":0.0020741047,"about_ca_system_score_gemma":0.0014813155,"threshold_uncertainty_score":0.06808841},"labels":[],"label_agreement":null},{"id":"W3162923160","doi":"10.1155/2021/4439861","title":"Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fujian Normal University; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Ontology alignment; Computer science; Ontology; Benchmark (surveying); Word2vec; Domain (mathematical analysis); Matching (statistics); Ontology-based data integration; Data mining; Semantic heterogeneity; Information retrieval; Data integration; Artificial intelligence; Semantic Web","score_opus":0.009987936045511655,"score_gpt":0.2542511994500176,"score_spread":0.24426326340450596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162923160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09488349,0.00095634995,0.87994784,0.000389549,0.0006124765,0.00036128567,0.0048684576,0.012705286,0.0052752774],"genre_scores_gemma":[0.33110306,0.00076404755,0.6264327,0.00034189475,0.00013641374,0.0005710537,0.032167494,0.0008773966,0.0076059937],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985234,0.00015831231,0.00015949935,0.00046189918,0.0004994197,0.00019744475],"domain_scores_gemma":[0.999574,0.00004353886,0.000037119324,0.00006395564,0.00026391327,0.000017357237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045424642,0.0012883445,0.00095100445,0.0037780418,0.0009939247,0.0009368534,0.0009400935,0.00088903535,0.0029416657],"category_scores_gemma":[0.0016333502,0.00042424857,0.0011320781,0.0051557794,0.00039473118,0.0018411393,0.0013481368,0.00082235696,0.0026593339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025602832,0.00028695943,0.0059768963,0.0003756239,0.00024814476,0.00054035755,0.00026081424,0.029087255,0.03546086,0.0092119975,0.05139167,0.86690336],"study_design_scores_gemma":[0.000062765976,0.00015103199,0.005758785,0.000038289734,0.00010832285,0.0005362848,0.0004819613,0.9114361,0.039900117,0.013031174,0.028426815,0.00006841134],"about_ca_topic_score_codex":0.014232384,"about_ca_topic_score_gemma":0.02304342,"teacher_disagreement_score":0.014232384,"about_ca_system_score_codex":0.0006530079,"about_ca_system_score_gemma":0.002008206,"threshold_uncertainty_score":0.028299093},"labels":[],"label_agreement":null},{"id":"W3164586659","doi":"10.1093/oso/9780198862536.003.0020","title":"Automated Common-sense Spatial Reasoning: Still a Huge Challenge","year":2021,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; Canadian Institute for Advanced Research; Harvard University","keywords":"Commonsense reasoning; Commonsense knowledge; Computer science; Spatial intelligence; Artificial intelligence; Space (punctuation); Common sense; Cognitive science; Epistemology; Knowledge representation and reasoning; Psychology; Philosophy","score_opus":0.028833087271957842,"score_gpt":0.22204666873030246,"score_spread":0.1932135814583446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164586659","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009630663,0.052452404,0.6512485,0.048685387,0.0011426103,0.000079899066,0.0007465513,0.0064831236,0.22953084],"genre_scores_gemma":[0.1962962,0.06401884,0.6365444,0.0037574994,0.0015149188,0.00015481315,0.0031705415,0.0024019529,0.09214076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979845,0.00048222035,0.00010705134,0.00032499162,0.0009731973,0.00012802963],"domain_scores_gemma":[0.99699306,0.001454153,0.00009419789,0.00091472676,0.00044899285,0.00009477711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028788256,0.0009294904,0.0010956462,0.0021849503,0.0018418254,0.009349175,0.0031081499,0.0022834863,0.01238421],"category_scores_gemma":[0.004242689,0.0007643113,0.0013520136,0.0043813363,0.005890815,0.025444165,0.0040111886,0.0036038172,0.007572649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009436523,0.0000214585,0.0001169639,0.00029392145,0.000017136881,0.000045129393,0.00051395985,0.002742244,0.00043192742,0.74458194,0.03696219,0.21426375],"study_design_scores_gemma":[0.000004138198,0.0000042941165,0.00011412107,0.00014786796,0.000008108668,0.00010042683,0.0004839682,0.007700866,0.00044861922,0.8029835,0.18799001,0.000014065049],"about_ca_topic_score_codex":0.0069423653,"about_ca_topic_score_gemma":0.0069922176,"teacher_disagreement_score":0.01238421,"about_ca_system_score_codex":0.0030933262,"about_ca_system_score_gemma":0.00301675,"threshold_uncertainty_score":0.04142928},"labels":[],"label_agreement":null},{"id":"W3166428536","doi":"10.1007/978-3-030-79186-5_19","title":"From Mental Models to Machine Learning Models via Conceptual Models","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Mental model; Conceptual model; Conceptual framework; Artificial intelligence; Data science; Machine learning; Management science; Cognitive science; Engineering; Psychology; Sociology; Social science","score_opus":0.04002625032305028,"score_gpt":0.23813242284977731,"score_spread":0.19810617252672702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166428536","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069255996,0.001462218,0.9681836,0.0054712305,0.00018402668,0.000050466413,0.0005749455,0.0006754128,0.016472442],"genre_scores_gemma":[0.43426207,0.003494597,0.5477076,0.0014835431,0.00035338098,0.00046330315,0.0025401702,0.0005249773,0.009170372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816716,0.0010240743,0.00010566338,0.00028529792,0.00035242832,0.000065331296],"domain_scores_gemma":[0.9910781,0.0072183292,0.0002403502,0.0008870889,0.00043979552,0.00013643746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022220553,0.0009824,0.00078043295,0.0019100569,0.0007156968,0.0067395223,0.0022098213,0.0017696781,0.008615931],"category_scores_gemma":[0.017939365,0.0010507756,0.0016929068,0.001910184,0.00401436,0.016056327,0.0029461684,0.0046582306,0.0017524918],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029658404,0.000024543053,0.00017641732,0.00014967361,0.000043203043,0.0000663387,0.0004530813,0.009219454,0.00026062646,0.9452239,0.0033192455,0.041033782],"study_design_scores_gemma":[0.000004562444,0.000003514593,0.000032054566,0.000023791461,0.000009471824,0.000019190482,0.00004799348,0.02445308,0.00014254593,0.9720837,0.0031737399,0.0000062765926],"about_ca_topic_score_codex":0.0024614902,"about_ca_topic_score_gemma":0.0018457648,"teacher_disagreement_score":0.008615931,"about_ca_system_score_codex":0.00199206,"about_ca_system_score_gemma":0.00093331246,"threshold_uncertainty_score":0.028823197},"labels":[],"label_agreement":null},{"id":"W3167581155","doi":"10.1186/s40561-021-00160-z","title":"A new competency ontology for learning environments personalization","year":2021,"lang":"en","type":"article","venue":"Smart Learning Environments","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Computer science; Ontology; Personalization; Semantic Web; Vocabulary; World Wide Web; Upper ontology; Knowledge management","score_opus":0.014886531363570134,"score_gpt":0.2309710989507058,"score_spread":0.21608456758713568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167581155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01480384,0.00064441696,0.94334406,0.002181351,0.00027035904,0.00038291112,0.001142641,0.0009912428,0.036239143],"genre_scores_gemma":[0.21389948,0.0011443039,0.7689682,0.0009135551,0.00014115432,0.00059390516,0.003296842,0.0002806793,0.0107618],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99669456,0.0008421306,0.00050767243,0.0005421195,0.001104386,0.00030912404],"domain_scores_gemma":[0.99778396,0.0005698851,0.00019290575,0.00047576593,0.00075238675,0.00022519825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027132805,0.00055755477,0.00041019754,0.002891552,0.0017819139,0.0037419759,0.0014246852,0.0015291293,0.0019632482],"category_scores_gemma":[0.003884663,0.0004952751,0.0014984537,0.0024896208,0.00249501,0.009343982,0.003233056,0.002705142,0.00050603674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002066236,0.00007610968,0.0012881426,0.00016683392,0.000028794953,0.0003591332,0.0017584327,0.0060668243,0.0019837583,0.9281485,0.0068225674,0.053280137],"study_design_scores_gemma":[0.000029025296,0.000046181507,0.0020434628,0.00048652443,0.00007005875,0.0010601628,0.0016709078,0.08670619,0.0055779377,0.31288934,0.5893275,0.00009276692],"about_ca_topic_score_codex":0.015072714,"about_ca_topic_score_gemma":0.012361526,"teacher_disagreement_score":0.015072714,"about_ca_system_score_codex":0.0032811223,"about_ca_system_score_gemma":0.0042010867,"threshold_uncertainty_score":0.02996993},"labels":[],"label_agreement":null},{"id":"W3168667550","doi":"10.13140/rg.2.2.15219.66088","title":"Méthodologie de génération d’applications auto-adaptatives grâce à un cadre de développement dirigé par les ontologies","year":2021,"lang":"fr","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.14871319847916342,"score_gpt":0.35984609705599535,"score_spread":0.21113289857683193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168667550","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007713719,0.0002237326,0.9805133,0.0002148298,0.00007037709,0.00024392577,0.00026218727,0.0058940686,0.004863824],"genre_scores_gemma":[0.06449171,0.0004288857,0.92299503,0.00010603018,0.000023481336,0.00031262875,0.0012174955,0.0020835618,0.008341253],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99476635,0.001204096,0.00040087223,0.0009427283,0.00237035,0.0003155622],"domain_scores_gemma":[0.9945844,0.0022353295,0.0002648885,0.0013359956,0.0014438678,0.00013551793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003984847,0.0012603794,0.00067856064,0.00245873,0.0011469753,0.004442821,0.0017565315,0.0015061643,0.0058092726],"category_scores_gemma":[0.01123157,0.0012131262,0.0026075854,0.0012522253,0.001164322,0.0029079625,0.0028820485,0.0017830009,0.0026379481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035504936,0.00030715915,0.008805092,0.0016215189,0.00035101734,0.0018487482,0.0055835294,0.060981702,0.06341041,0.11117189,0.014464553,0.73109937],"study_design_scores_gemma":[0.00012707763,0.00019747691,0.0039044146,0.0006327004,0.00032510687,0.0017933538,0.0019047715,0.4935667,0.13589227,0.05355859,0.30789393,0.00020370237],"about_ca_topic_score_codex":0.009308505,"about_ca_topic_score_gemma":0.011493096,"teacher_disagreement_score":0.009308505,"about_ca_system_score_codex":0.0013127476,"about_ca_system_score_gemma":0.002775106,"threshold_uncertainty_score":0.021074176},"labels":[],"label_agreement":null},{"id":"W3174346744","doi":"10.1016/j.artmed.2021.102127","title":"Decision support for comorbid conditions via execution-time integration of clinical guidelines using transaction-based semantics and temporal planning","year":2021,"lang":"en","type":"article","venue":"Artificial Intelligence in Medicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Task (project management); A priori and a posteriori; Artificial intelligence; Risk analysis (engineering); Medicine; Systems engineering","score_opus":0.26855624210546963,"score_gpt":0.48035800254814365,"score_spread":0.21180176044267401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174346744","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11263285,0.002603095,0.863197,0.0038056534,0.00029294819,0.0006686688,0.0033064168,0.0042990004,0.009194359],"genre_scores_gemma":[0.7493119,0.00077245006,0.24574725,0.0002748264,0.00008131631,0.0001897802,0.0027905742,0.00012455124,0.0007073368],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969206,0.001105829,0.0005386449,0.00042005535,0.00083969417,0.00017519172],"domain_scores_gemma":[0.99038893,0.006334859,0.0010750399,0.00047974696,0.0013202677,0.00040105736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035780848,0.00093104894,0.0010465448,0.0028520122,0.0006024345,0.0034906536,0.0011439763,0.00072591077,0.0025298018],"category_scores_gemma":[0.016881524,0.00045174835,0.0009819088,0.002056937,0.00041832766,0.0024284846,0.0014238213,0.0011428136,0.00045666468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002704273,0.0009666879,0.043575272,0.0012358892,0.00079013983,0.004986441,0.002088018,0.29906058,0.012865349,0.03774158,0.016219204,0.5777665],"study_design_scores_gemma":[0.00021422106,0.00023221411,0.0052899187,0.00029005483,0.0005117831,0.0011106952,0.00071934034,0.9127922,0.008944407,0.057388853,0.012419691,0.00008655074],"about_ca_topic_score_codex":0.009007901,"about_ca_topic_score_gemma":0.0134170465,"teacher_disagreement_score":0.009007901,"about_ca_system_score_codex":0.00079581374,"about_ca_system_score_gemma":0.0034706725,"threshold_uncertainty_score":0.018922925},"labels":[],"label_agreement":null},{"id":"W3176676480","doi":"10.35708/gc1868-126723","title":"A Framework for Exploration and Visualization of SPARQL Endpoint Information","year":2020,"lang":"en","type":"article","venue":"International Journal of Graph Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ottawa","keywords":"SPARQL; Computer science; Schema (genetic algorithms); Visualization; Information retrieval; RDF; Named graph; World Wide Web; Variety (cybernetics); Linked data; Semantic Web; Data science; Data mining","score_opus":0.046842652519423676,"score_gpt":0.31928030931406814,"score_spread":0.2724376567946445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176676480","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00070250756,0.00016907601,0.9678297,0.00026024954,0.00004926858,0.00033771855,0.0012744119,0.026946438,0.0024305384],"genre_scores_gemma":[0.030405924,0.0007136202,0.9483028,0.0003939548,0.00011237641,0.001101133,0.008566997,0.0055465503,0.0048567015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99458367,0.0012978911,0.00083399913,0.00079228776,0.0020843337,0.0004078002],"domain_scores_gemma":[0.99606293,0.001289636,0.0002791503,0.0012552872,0.00076950825,0.00034339447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008566681,0.0018437043,0.001743494,0.0039642635,0.0017651526,0.009955139,0.005181944,0.0025539729,0.012013003],"category_scores_gemma":[0.009528298,0.0017363178,0.0031329407,0.0031590324,0.0021275561,0.0067450153,0.006842971,0.004230933,0.0055849175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074110425,0.00038956103,0.0029200516,0.0020014234,0.0004328408,0.002477288,0.0043491153,0.04824394,0.02790902,0.54804605,0.08276454,0.27972504],"study_design_scores_gemma":[0.00017219456,0.00012461076,0.0008514893,0.00057242723,0.00011583274,0.0010458495,0.0006471516,0.2547316,0.016907996,0.27132273,0.45321113,0.00029703957],"about_ca_topic_score_codex":0.00766219,"about_ca_topic_score_gemma":0.0072317882,"teacher_disagreement_score":0.012013003,"about_ca_system_score_codex":0.0016387398,"about_ca_system_score_gemma":0.002907371,"threshold_uncertainty_score":0.04530549},"labels":[],"label_agreement":null},{"id":"W3177210555","doi":"10.1504/ijes.2021.10039195","title":"Selection gate-based networks for semantic relation extraction","year":2021,"lang":"en","type":"article","venue":"International Journal of Embedded Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Jiangxi Normal University; Education Department of Henan Province; Henan University; Southeast University; Queen's University","keywords":"Computer science; Selection (genetic algorithm); Relation (database); Extraction (chemistry); Artificial intelligence; Relationship extraction; Natural language processing; Data mining; Chemistry","score_opus":0.025799392012206594,"score_gpt":0.3084677602825342,"score_spread":0.2826683682703276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177210555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07123012,0.0015149282,0.9152068,0.0004903616,0.00015826945,0.00023555735,0.0019829453,0.0030290636,0.006151935],"genre_scores_gemma":[0.7644914,0.0012008814,0.21785481,0.00053436373,0.00019794817,0.00050076324,0.006699474,0.00018739962,0.008332984],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936265,0.00013782195,0.000044415345,0.00020702078,0.00017455373,0.00007356548],"domain_scores_gemma":[0.9991173,0.0005335464,0.00009406115,0.000069666785,0.00015127797,0.00003407647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076211884,0.0012114686,0.0009098198,0.001901045,0.0006188839,0.0007884289,0.0012690235,0.0010276306,0.0023957824],"category_scores_gemma":[0.0023885055,0.00031290803,0.0010075954,0.0019573178,0.0006767113,0.0020354134,0.0008972649,0.0010002733,0.0008828902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070296,0.0004085643,0.0069669774,0.00038562305,0.00021289772,0.00061105646,0.00026772998,0.30119804,0.017624317,0.032264147,0.015901012,0.62345666],"study_design_scores_gemma":[0.000012401043,0.000055569035,0.0008271731,0.00002012126,0.000045910325,0.00007858058,0.00002981897,0.9675225,0.0040837363,0.024005366,0.0033059216,0.000012915684],"about_ca_topic_score_codex":0.005868843,"about_ca_topic_score_gemma":0.010253846,"teacher_disagreement_score":0.005868843,"about_ca_system_score_codex":0.0012321749,"about_ca_system_score_gemma":0.0008919525,"threshold_uncertainty_score":0.011669397},"labels":[],"label_agreement":null},{"id":"W31803312","doi":"10.14740/gr1226","title":"Infrastructure à base de règles actives pour la décision dans des systèmes autonomes à composants","year":2008,"lang":"en","type":"dissertation","venue":"Gastroenterology Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.04221458536663465,"score_gpt":0.3487039431740753,"score_spread":0.3064893578074407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31803312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05905921,0.002468975,0.8792533,0.0024289605,0.00025039114,0.00045395482,0.0012143169,0.03777592,0.017094957],"genre_scores_gemma":[0.5819252,0.0022612284,0.40160352,0.00046617916,0.00019658188,0.00027211005,0.0032491027,0.0010130669,0.009013037],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99774987,0.00047229097,0.00031535828,0.00046958413,0.00074395037,0.00024901397],"domain_scores_gemma":[0.99592614,0.001451687,0.0004028347,0.001012131,0.0009282152,0.00027904916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004093379,0.0010651316,0.0010441208,0.0030189797,0.0012448836,0.0057732295,0.0021686947,0.0015597467,0.0041688583],"category_scores_gemma":[0.008730813,0.0007529405,0.0011891016,0.0014077257,0.0010383535,0.0067386418,0.0021961054,0.0015254682,0.0027282836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011787455,0.00059261546,0.013887347,0.0013384364,0.00048205722,0.0019415275,0.0027080523,0.12626396,0.042513665,0.07022288,0.017731298,0.7211395],"study_design_scores_gemma":[0.0001210871,0.00039471203,0.0061646677,0.00053877884,0.00045720287,0.0007793231,0.0014122124,0.72926646,0.053790707,0.06429746,0.1425679,0.00020943196],"about_ca_topic_score_codex":0.009367365,"about_ca_topic_score_gemma":0.006438444,"teacher_disagreement_score":0.009367365,"about_ca_system_score_codex":0.0014888154,"about_ca_system_score_gemma":0.0026233378,"threshold_uncertainty_score":0.021648109},"labels":[],"label_agreement":null},{"id":"W3182612762","doi":"","title":"A web community to support a cooperative work: \"L’Osservatore Romano\" case study","year":2007,"lang":"en","type":"article","venue":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); World Wide Web; Engineering; Computer science","score_opus":0.11567904425603429,"score_gpt":0.3362173499716489,"score_spread":0.22053830571561464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182612762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75433195,0.0010953416,0.024334148,0.007704802,0.00025230602,0.0007993597,0.00020244786,0.0002276549,0.21105191],"genre_scores_gemma":[0.9612483,0.00048017324,0.014089166,0.0005468238,0.00006599106,0.0003215459,0.00012543327,0.00006552517,0.023057077],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99081814,0.0068170764,0.00016964765,0.00041324733,0.00085892074,0.00092297647],"domain_scores_gemma":[0.9945693,0.0030004256,0.00038582904,0.0004334205,0.00042366184,0.0011874198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046660258,0.00036885994,0.0003528844,0.0017118516,0.011211453,0.0040676235,0.0018074112,0.0037264023,0.0055187996],"category_scores_gemma":[0.006399084,0.0003351424,0.0005153998,0.0019523277,0.004921534,0.003786738,0.0057374425,0.0016452607,0.001106077],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048709172,0.0032408524,0.022249425,0.0009946331,0.000053956228,0.0735158,0.5591012,0.0039760293,0.004389193,0.18633051,0.031273145,0.11438811],"study_design_scores_gemma":[0.00015969801,0.00035402825,0.006595867,0.00046406852,0.00002343225,0.01275503,0.431082,0.006263692,0.0022268526,0.008170415,0.53182065,0.00008430379],"about_ca_topic_score_codex":0.011079603,"about_ca_topic_score_gemma":0.018648716,"teacher_disagreement_score":0.011211453,"about_ca_system_score_codex":0.0025062582,"about_ca_system_score_gemma":0.0026962352,"threshold_uncertainty_score":0.024676621},"labels":[],"label_agreement":null},{"id":"W3185755864","doi":"10.7202/1089649ar","title":"L’épopée numérique de l’Anthologie grecque : entre questions épistémologiques, modèles techniques et dynamiques collaboratives","year":2021,"lang":"fr","type":"article","venue":"Sens public","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.05272396526064885,"score_gpt":0.3130597134572368,"score_spread":0.260335748196588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185755864","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025972078,0.034079067,0.27499908,0.10700216,0.011988295,0.0003182021,0.0006457659,0.0008257826,0.54416955],"genre_scores_gemma":[0.4262099,0.034465298,0.16792324,0.010407224,0.0072418293,0.0014620676,0.00079872593,0.0025145975,0.34897712],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9906438,0.0048935744,0.00033667125,0.0010333243,0.0027242545,0.00036838726],"domain_scores_gemma":[0.9814053,0.012446119,0.00057460216,0.002026981,0.002942169,0.00060496567],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010161956,0.0010526894,0.001010505,0.004366093,0.0064261444,0.01713702,0.0022862714,0.0030741245,0.012406525],"category_scores_gemma":[0.024088154,0.00047815364,0.0010512572,0.0044007227,0.021729924,0.012004019,0.0048752953,0.0055208546,0.00223192],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034518107,0.00001629682,0.00029139448,0.00025763045,0.000009774871,0.00006380183,0.01728213,0.00050693133,0.00048317967,0.93524605,0.016732452,0.029075887],"study_design_scores_gemma":[0.000012494675,0.000015558404,0.00058496225,0.0005187822,0.000010268542,0.00010751323,0.0073765647,0.0010383611,0.00059503433,0.12932588,0.8603833,0.000031422664],"about_ca_topic_score_codex":0.050797746,"about_ca_topic_score_gemma":0.06304517,"teacher_disagreement_score":0.98286295,"about_ca_system_score_codex":0.022680975,"about_ca_system_score_gemma":0.018104922,"threshold_uncertainty_score":0.16456276},"labels":[],"label_agreement":null},{"id":"W318854254","doi":"10.1007/978-3-319-11915-1_23","title":"Linked Open Data Driven Game Generation","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Battle; Terrain; Cultural heritage; Data modeling; Video game development; Data science; Human–computer interaction; Game design; Database; Cartography; History; Archaeology; Geography","score_opus":0.08224342505436458,"score_gpt":0.30292433035260197,"score_spread":0.2206809052982374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W318854254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026731627,0.00013852715,0.93608993,0.00027149005,0.00020951834,0.00053290697,0.0013216117,0.012524067,0.022180326],"genre_scores_gemma":[0.46273768,0.00015949114,0.5049694,0.0002381089,0.00004270788,0.00096418476,0.0054845694,0.0019217595,0.023482112],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936765,0.00013751267,0.00002525987,0.000115426265,0.00028552147,0.000068559544],"domain_scores_gemma":[0.9988487,0.0005952109,0.000025249088,0.00019964104,0.00026832017,0.000062910134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087176973,0.0006216944,0.0003815372,0.0009357839,0.00053744076,0.0014961326,0.0020288755,0.0009050338,0.014978712],"category_scores_gemma":[0.004092648,0.000335369,0.0007448259,0.00069896335,0.0005409427,0.0014332688,0.0026067845,0.0011015272,0.002856765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006396125,0.00088610174,0.002601744,0.00034185045,0.00011119426,0.00060420256,0.000658287,0.19732282,0.014137976,0.09939146,0.0462271,0.6370777],"study_design_scores_gemma":[0.00007398382,0.00006976661,0.00030135395,0.00003070168,0.000019399387,0.000102228034,0.000114270064,0.90914845,0.00888742,0.060993005,0.020234803,0.000024668414],"about_ca_topic_score_codex":0.0022954273,"about_ca_topic_score_gemma":0.0031712942,"teacher_disagreement_score":0.014978712,"about_ca_system_score_codex":0.0006370413,"about_ca_system_score_gemma":0.0007329859,"threshold_uncertainty_score":0.05010879},"labels":[],"label_agreement":null},{"id":"W3190640663","doi":"10.5281/zenodo.3754264","title":"Supporting Sustainable Digital Data Workflows in the Art and Humanities","year":2020,"lang":"en","type":"article","venue":"edoc (University of Basel)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Digital humanities; Digital preservation; World Wide Web; Data center; Workflow; Interoperability; Computer science; Data science; Library science; Humanities; Political science; Art; Database","score_opus":0.0408898470016284,"score_gpt":0.22625480426632943,"score_spread":0.18536495726470104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190640663","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021436239,0.0018967924,0.8530774,0.028524848,0.00074529933,0.0011719889,0.0021740652,0.008417833,0.08255551],"genre_scores_gemma":[0.2010268,0.0029760092,0.76445013,0.001865738,0.00029110053,0.0008302094,0.0060357824,0.0025649716,0.019959262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9759124,0.010446801,0.0030736127,0.0027396916,0.00608789,0.0017396387],"domain_scores_gemma":[0.9527399,0.014559044,0.0020186792,0.020846134,0.0055036424,0.0043325415],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04019322,0.0008038702,0.001173499,0.008506029,0.007149779,0.03035118,0.005298753,0.0050825947,0.0075092306],"category_scores_gemma":[0.04965444,0.0012310253,0.0020854154,0.010693965,0.009640146,0.03454649,0.032557648,0.0040852847,0.0051729577],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012332099,0.00026116116,0.0035029228,0.00059647526,0.00007939961,0.0005309937,0.009602146,0.008331239,0.0018538281,0.7291541,0.032377094,0.21358722],"study_design_scores_gemma":[0.000038936283,0.000025064199,0.00089795905,0.0005146552,0.000026379948,0.00029114395,0.008870888,0.017902024,0.0022602668,0.6284727,0.34061196,0.0000880551],"about_ca_topic_score_codex":0.0131993,"about_ca_topic_score_gemma":0.013549836,"teacher_disagreement_score":0.96964884,"about_ca_system_score_codex":0.006432471,"about_ca_system_score_gemma":0.02452939,"threshold_uncertainty_score":0.21256459},"labels":[],"label_agreement":null},{"id":"W3193611644","doi":"10.1007/s40593-021-00273-z","title":"A Festschrift to Honour Jim Greer: Guest Editors’ Introduction","year":2021,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Honour; Library science; Gerontology; Computer science; Medicine; Political science","score_opus":0.024436975578545028,"score_gpt":0.3345900949894177,"score_spread":0.3101531194108727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193611644","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000751358,0.0037562062,0.00019674197,0.07879295,0.9161236,0.000016105161,0.00004200219,0.000051314008,0.00094588735],"genre_scores_gemma":[0.001859577,0.004000109,0.00038953882,0.071929514,0.88440764,0.000071219365,0.00008712566,0.00015311269,0.03710222],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.990733,0.0014603294,0.0008671147,0.0017413052,0.0039252145,0.0012730176],"domain_scores_gemma":[0.96043134,0.0056320424,0.0026205294,0.0011504072,0.016343743,0.013821895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011455667,0.0029283774,0.0025039215,0.0028442037,0.0039513214,0.011887562,0.0030947074,0.011558047,0.027923202],"category_scores_gemma":[0.0340194,0.00092384714,0.0019110615,0.0012508759,0.0021317697,0.0055294875,0.0059349816,0.017523967,0.025214467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003753553,0.000013440175,0.00004708064,0.00007550873,0.000007831574,0.000079021534,0.000032922733,0.000023953262,0.00014792211,0.0003635911,0.99490345,0.0042676637],"study_design_scores_gemma":[0.000026362219,0.000039427232,0.00025313848,0.00013008129,0.00001579869,0.00015902154,0.00014568787,0.000082373335,0.00016502681,0.0007459415,0.99820924,0.000028050583],"about_ca_topic_score_codex":0.0013861813,"about_ca_topic_score_gemma":0.0034085875,"teacher_disagreement_score":0.027923202,"about_ca_system_score_codex":0.0024842399,"about_ca_system_score_gemma":0.0047535957,"threshold_uncertainty_score":0.0934124},"labels":[],"label_agreement":null},{"id":"W3193784155","doi":"10.11159/cist21.108","title":"Processing Natural Language Queries in Semantic WebApplications","year":2021,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Semantic Web; Information retrieval; World Wide Web; Natural language; Semantic Web Rule Language; Semantic compression; Semantic computing; Semantic Web Stack; Natural language processing; Semantic analytics; Social Semantic Web; Semantic technology","score_opus":0.005546240918174048,"score_gpt":0.21552705730450641,"score_spread":0.20998081638633237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193784155","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029862145,0.00042693928,0.94562465,0.0014161686,0.00007084791,0.00055443763,0.0016913966,0.016672462,0.003681019],"genre_scores_gemma":[0.34677634,0.00070855266,0.6368631,0.0012491988,0.00012870533,0.0006620457,0.0076098903,0.0025498148,0.0034523425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9921389,0.003204967,0.0010445822,0.000907844,0.0022922575,0.00041141052],"domain_scores_gemma":[0.99199206,0.005429207,0.00040932215,0.0010916287,0.00091276434,0.0001650093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062957252,0.0008775979,0.0010772388,0.0027854221,0.0014183971,0.004017001,0.0018348946,0.0017857264,0.0026188963],"category_scores_gemma":[0.0126376515,0.0010890487,0.0018654189,0.0029929657,0.0022714182,0.0072818142,0.0038210915,0.0018829699,0.0011605169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011938084,0.0008777435,0.008607088,0.0022534602,0.00037059377,0.0052524973,0.011309664,0.13618235,0.05693202,0.43962207,0.042038854,0.29535988],"study_design_scores_gemma":[0.00010273069,0.000105825864,0.0013293047,0.00016154008,0.00009890572,0.0006798828,0.0018958015,0.5705907,0.038143005,0.30663025,0.08015304,0.00010904091],"about_ca_topic_score_codex":0.006046258,"about_ca_topic_score_gemma":0.006689644,"teacher_disagreement_score":0.0062957252,"about_ca_system_score_codex":0.0016698176,"about_ca_system_score_gemma":0.0019444913,"threshold_uncertainty_score":0.033295393},"labels":[],"label_agreement":null},{"id":"W3194289436","doi":"","title":"Temporal Graph Functional Dependencies -- Technical Report","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Soundness; Functional dependency; Satisfiability; Computer science; Completeness (order theory); Graph; Theoretical computer science; Dependency graph; Boolean satisfiability problem; Mathematics; Data mining; Programming language; Relational database","score_opus":0.09767689462730265,"score_gpt":0.19383416011620402,"score_spread":0.09615726548890137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194289436","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057862573,0.0020375205,0.9501498,0.0043276586,0.0010899031,0.00030288476,0.0036971846,0.0029437942,0.029665153],"genre_scores_gemma":[0.14302671,0.0064647635,0.7917653,0.0016620944,0.0014577858,0.00062392745,0.01696155,0.0017634796,0.03627441],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965778,0.00073004304,0.00040284483,0.000959585,0.0010760517,0.00025360577],"domain_scores_gemma":[0.9921366,0.0029896821,0.000416663,0.0020744777,0.0020274364,0.00035517543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042342343,0.0011501532,0.00060723413,0.0019784283,0.0013604383,0.0042715715,0.0015147568,0.0015857334,0.019850692],"category_scores_gemma":[0.007937746,0.00088383124,0.0020373024,0.003213251,0.0016549897,0.008961342,0.0026361546,0.0039949603,0.00692296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008119241,0.00014480075,0.0023821641,0.00061427243,0.00006330173,0.00048922346,0.00030739408,0.012817301,0.004769798,0.7667449,0.05986301,0.15172265],"study_design_scores_gemma":[0.00003718678,0.000047387715,0.0012853112,0.00032679725,0.0000767633,0.0011238543,0.00014277735,0.063403316,0.0078089996,0.40747312,0.5181875,0.000086882406],"about_ca_topic_score_codex":0.0065919827,"about_ca_topic_score_gemma":0.004639097,"teacher_disagreement_score":0.019850692,"about_ca_system_score_codex":0.0029071483,"about_ca_system_score_gemma":0.003211208,"threshold_uncertainty_score":0.0664072},"labels":[],"label_agreement":null},{"id":"W3195793981","doi":"","title":"Report on the Third Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR), Toronto, Canada","year":2011,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Semantic Web; Annotation; Information retrieval; Semantic annotation; World Wide Web; Semantic Web Stack; Social Semantic Web; Artificial intelligence","score_opus":0.03854394977259122,"score_gpt":0.25445933517430697,"score_spread":0.21591538540171573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195793981","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039050072,0.05709694,0.070106044,0.23901305,0.080003366,0.005688148,0.044619482,0.0045231218,0.45989984],"genre_scores_gemma":[0.037813153,0.0125317285,0.019952709,0.005059822,0.003271233,0.00071033504,0.020515287,0.0012935201,0.89885217],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926737,0.0014849659,0.00028264348,0.0009678346,0.0028671427,0.0017237244],"domain_scores_gemma":[0.98717856,0.0012627534,0.00016286796,0.00055396423,0.0068637338,0.0039781258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013994379,0.0021756233,0.0016309827,0.0026656408,0.0057041026,0.012320046,0.0030996099,0.0038230303,0.09918336],"category_scores_gemma":[0.009216892,0.0008574111,0.0017996193,0.003814945,0.002805091,0.006246759,0.005525441,0.00343956,0.027992336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030119234,0.00014683214,0.00086754194,0.00040341043,0.00003647924,0.00028847507,0.0027233763,0.00057791633,0.002037033,0.0051712007,0.9243533,0.06309316],"study_design_scores_gemma":[0.000055143177,0.000059758226,0.0028458298,0.0002623078,0.000031237032,0.00007200557,0.0040090694,0.00058556226,0.001098962,0.0013250769,0.9896011,0.0000540126],"about_ca_topic_score_codex":0.75741273,"about_ca_topic_score_gemma":0.81307226,"teacher_disagreement_score":0.24258727,"about_ca_system_score_codex":0.026059138,"about_ca_system_score_gemma":0.04897329,"threshold_uncertainty_score":0.4880318},"labels":[],"label_agreement":null},{"id":"W3201094530","doi":"","title":"Semantic Frameworks to Enhance Situation Awareness for Defence and Security Applications","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Reuse; European commission; Semantics (computer science); Work (physics); Order (exchange); Data science; Knowledge management; World Wide Web; Business; Engineering","score_opus":0.019231090440561108,"score_gpt":0.27746053929564635,"score_spread":0.25822944885508525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201094530","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035201665,0.0014178508,0.9789453,0.0012432735,0.00014668249,0.00026315066,0.00025235326,0.0017961831,0.0124150105],"genre_scores_gemma":[0.078923784,0.0021694833,0.91328305,0.00030728467,0.00010095574,0.00028473663,0.0009477924,0.00031109044,0.0036717989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99753785,0.00095992436,0.00028831913,0.00029560263,0.00073455286,0.00018370076],"domain_scores_gemma":[0.99819237,0.0007772524,0.00017555915,0.0003925588,0.00033842234,0.00012388229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004527546,0.0014187085,0.00076391845,0.0043889843,0.0015554115,0.0055363826,0.002054593,0.0017915692,0.0037334848],"category_scores_gemma":[0.005373282,0.00081482535,0.0024224322,0.0030235813,0.0025324202,0.008882434,0.0048042093,0.0025040659,0.0012108496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070604234,0.00019454263,0.0007074237,0.0008324232,0.00015365597,0.0005181171,0.0033191685,0.02666641,0.0050496534,0.7724924,0.008330312,0.1816652],"study_design_scores_gemma":[0.00004879919,0.00005789192,0.00078666775,0.00085304875,0.0001721469,0.000550849,0.0017467457,0.11608259,0.005006596,0.52662766,0.34796304,0.00010397426],"about_ca_topic_score_codex":0.007159331,"about_ca_topic_score_gemma":0.009825776,"teacher_disagreement_score":0.007159331,"about_ca_system_score_codex":0.0018660768,"about_ca_system_score_gemma":0.0023973454,"threshold_uncertainty_score":0.0239442},"labels":[],"label_agreement":null},{"id":"W3201776739","doi":"10.3233/978-1-61499-649-1-125","title":"Article Processing Charges: A New Route to Open Access?","year":2016,"lang":"en","type":"book-chapter","venue":"IOS Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Telecommunications","score_opus":0.14940355781524825,"score_gpt":0.35348667448332843,"score_spread":0.20408311666808018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201776739","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009607194,0.03432671,0.03300747,0.17484789,0.04375334,0.00011034926,0.00030009513,0.0014583457,0.711235],"genre_scores_gemma":[0.025123227,0.051557336,0.025523819,0.06305953,0.034199033,0.00027954992,0.000456024,0.0024281382,0.7973733],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917394,0.0019529994,0.00058142486,0.0006036033,0.0047075385,0.0004149987],"domain_scores_gemma":[0.975343,0.011310151,0.0010978489,0.004492183,0.005828739,0.0019281837],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.009625681,0.0010281536,0.0007760892,0.0038574096,0.0030965863,0.022596741,0.002410348,0.007618258,0.085731514],"category_scores_gemma":[0.03125992,0.0006671358,0.0012507519,0.005963813,0.0115378965,0.044172246,0.0058466587,0.0106258495,0.040797472],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009289927,0.000013123094,0.000028841154,0.00020113154,0.000005841771,0.000035221787,0.0003463235,0.00008114856,0.00016207383,0.6568291,0.27344203,0.068845816],"study_design_scores_gemma":[0.0000032568744,0.000004697975,0.000034962577,0.00014870572,0.0000022662655,0.000082959064,0.000106992724,0.00005453128,0.00006566578,0.09268497,0.9068,0.000011015384],"about_ca_topic_score_codex":0.0015427521,"about_ca_topic_score_gemma":0.0022437794,"teacher_disagreement_score":0.99758965,"about_ca_system_score_codex":0.004024773,"about_ca_system_score_gemma":0.0073511307,"threshold_uncertainty_score":0.28680044},"labels":[],"label_agreement":null},{"id":"W3201810944","doi":"10.59236/td2021vol14iss21585","title":"Navigating the Chaos: The Value of SoTL During Times of Uncertainty","year":2021,"lang":"en","type":"article","venue":"Transformative Dialogues Teaching and Learning Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"CHAOS (operating system); Value (mathematics); Mathematics; Statistics; Computer science; Computer security","score_opus":0.014232698024461261,"score_gpt":0.26414527861338527,"score_spread":0.24991258058892402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201810944","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22261973,0.009627904,0.16505143,0.3322184,0.0024518345,0.00015463658,0.00014531819,0.00048241398,0.26724833],"genre_scores_gemma":[0.9827692,0.0011624567,0.009042311,0.0032210941,0.00029654504,0.000067147994,0.000030465473,0.00013645724,0.0032743195],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9668265,0.024163963,0.00089524454,0.0016569624,0.004085462,0.0023718986],"domain_scores_gemma":[0.9477018,0.036125295,0.0032705686,0.005762767,0.0034009505,0.0037385032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.036831293,0.0005546726,0.0010121034,0.0043061026,0.017394971,0.031326443,0.0027053002,0.0065632327,0.0038245055],"category_scores_gemma":[0.04721289,0.00054289034,0.0007123914,0.0037661397,0.09460465,0.05031058,0.031575236,0.010269882,0.00073122216],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049766244,0.000021709064,0.0013708315,0.00016176444,0.000016687418,0.0004506916,0.2520856,0.00072825706,0.0003248077,0.72318375,0.003278934,0.01832715],"study_design_scores_gemma":[0.00000888012,0.000026554866,0.00041242893,0.00035406218,0.000008925987,0.00025583408,0.16426535,0.0015169922,0.0003042925,0.7607449,0.07205997,0.000041731593],"about_ca_topic_score_codex":0.0034543013,"about_ca_topic_score_gemma":0.004025786,"teacher_disagreement_score":0.036831293,"about_ca_system_score_codex":0.009448091,"about_ca_system_score_gemma":0.013975797,"threshold_uncertainty_score":0.19478482},"labels":[],"label_agreement":null},{"id":"W3203798707","doi":"10.5194/isprs-annals-viii-4-w2-2021-183-2021","title":"TOWARDS THE AUTOMATIC ONTOLOGY GENERATION AND ALIGNMENT OF BIM AND GIS DATA FORMATS","year":2021,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ontology; Upper ontology; Ontology-based data integration; CityGML; Semantic interoperability; Interoperability; Information retrieval; Geospatial analysis; Process ontology; Semantic integration; Semantic Web; World Wide Web; Data mining; Semantic computing; Geography; Visualization","score_opus":0.1342295861707598,"score_gpt":0.33313523868597916,"score_spread":0.19890565251521936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203798707","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008065983,0.000064610314,0.9863414,0.00022463681,0.000042075982,0.0002225898,0.00026226536,0.0020121043,0.0027642066],"genre_scores_gemma":[0.07155487,0.00013919121,0.9238206,0.00008371124,0.000011927195,0.00021740042,0.0022197017,0.0004242617,0.0015282505],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949144,0.0015453572,0.0004543368,0.0007262632,0.0020865595,0.0002730117],"domain_scores_gemma":[0.99569017,0.0010788757,0.00042479386,0.0010734195,0.001606835,0.00012598974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006295636,0.00059720443,0.00053751585,0.004357023,0.0013289491,0.003794717,0.0014522295,0.0010445019,0.0019125175],"category_scores_gemma":[0.011688398,0.000640795,0.001364991,0.0042300927,0.0011265391,0.004612146,0.0036552558,0.0016760628,0.0013382535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017310519,0.0005695245,0.0075916066,0.00052440714,0.00012989089,0.00061756064,0.0025287515,0.024411673,0.028152522,0.27291095,0.019193847,0.64319617],"study_design_scores_gemma":[0.000054156884,0.00012034656,0.004149949,0.00037724382,0.00012779306,0.00070611027,0.002315293,0.6129972,0.09823601,0.13327724,0.1475294,0.000109284265],"about_ca_topic_score_codex":0.0051694475,"about_ca_topic_score_gemma":0.005829157,"teacher_disagreement_score":0.006295636,"about_ca_system_score_codex":0.0015525188,"about_ca_system_score_gemma":0.0045003127,"threshold_uncertainty_score":0.033294916},"labels":[],"label_agreement":null},{"id":"W3204354299","doi":"","title":"A Data Discovery Platform Empowered by Knowledge GraphTechnologies: Challenges and Opportunities.","year":2021,"lang":"en","type":"article","venue":"Very Large Data Bases","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Knowledge extraction; Computer science; Data science; Knowledge management; Data mining","score_opus":0.22418996122957144,"score_gpt":0.32163684355728805,"score_spread":0.09744688232771662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204354299","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066812676,0.0017465435,0.9553997,0.010260713,0.0005118823,0.0002858862,0.0026211997,0.012875864,0.009616979],"genre_scores_gemma":[0.048484582,0.0021642984,0.93125105,0.0019046431,0.00022113821,0.0002742599,0.009752192,0.001114258,0.004833531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951439,0.0017991074,0.0005061556,0.00065861666,0.0016653057,0.00022684416],"domain_scores_gemma":[0.98116106,0.007809654,0.00067077554,0.006627701,0.002302397,0.0014283698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011214727,0.0006647691,0.0011342695,0.005595871,0.002279375,0.009866868,0.0040002954,0.0025360787,0.0040123737],"category_scores_gemma":[0.019309977,0.00093716144,0.0011827147,0.0073228204,0.0021718908,0.020570645,0.008293849,0.0036486313,0.0034789233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003453619,0.0006385803,0.0034860764,0.00096165156,0.00032663083,0.00072640856,0.000825921,0.008588339,0.009651171,0.44174218,0.095716685,0.43699104],"study_design_scores_gemma":[0.000053388056,0.00006572019,0.00061280245,0.00034951995,0.00009962491,0.0003862936,0.00047182315,0.07500941,0.006944548,0.6422229,0.27370587,0.000078125675],"about_ca_topic_score_codex":0.0036921198,"about_ca_topic_score_gemma":0.0075094295,"teacher_disagreement_score":0.011214727,"about_ca_system_score_codex":0.0013021481,"about_ca_system_score_gemma":0.0050603515,"threshold_uncertainty_score":0.0593099},"labels":[],"label_agreement":null},{"id":"W3204473813","doi":"10.1007/978-3-030-88361-4_33","title":"The Punya Platform: Building Mobile Research Apps with Linked Data and Semantic Features","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Linked data; World Wide Web; Semantic Web; Information retrieval","score_opus":0.06282182354520272,"score_gpt":0.32469980495909795,"score_spread":0.26187798141389523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204473813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018659072,0.0018294395,0.73404825,0.0012814534,0.00094231946,0.0011685824,0.0071294317,0.16387874,0.07106276],"genre_scores_gemma":[0.08984466,0.0033414916,0.7594217,0.0017035074,0.00035399926,0.0023042224,0.024566034,0.02200308,0.09646125],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929476,0.00010358339,0.000069592956,0.0001501553,0.0003212794,0.00006064109],"domain_scores_gemma":[0.99887973,0.00044292855,0.00006697155,0.0002983372,0.00015372,0.00015833875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014642614,0.0011565869,0.0007926604,0.0023138842,0.000890175,0.0036891478,0.0019830726,0.0012137798,0.012589477],"category_scores_gemma":[0.0036329804,0.0012265221,0.0012906024,0.0019380086,0.00071846857,0.0065614046,0.006277066,0.0020190272,0.01168059],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084661366,0.000556615,0.0042993133,0.0015676267,0.00025462825,0.00096605025,0.0020727909,0.0021913212,0.049055777,0.07267366,0.20781529,0.6577003],"study_design_scores_gemma":[0.0001971609,0.00030006847,0.004615205,0.0004866026,0.00023635197,0.0014051746,0.00045559258,0.030455556,0.023328098,0.062018964,0.8762575,0.00024390905],"about_ca_topic_score_codex":0.00094139,"about_ca_topic_score_gemma":0.0013732977,"teacher_disagreement_score":0.012589477,"about_ca_system_score_codex":0.0003632554,"about_ca_system_score_gemma":0.0010740412,"threshold_uncertainty_score":0.042116046},"labels":[],"label_agreement":null},{"id":"W3206379208","doi":"10.1007/978-3-030-89022-3_26","title":"Empirically Evaluating the Semantic Qualities of Language Vocabularies","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; University of Toronto; York University","funders":"","keywords":"Computer science; Operationalization; Vocabulary; Set (abstract data type); Documentation; Domain (mathematical analysis); Meaning (existential); Natural language processing; Design language; Artificial intelligence; Human–computer interaction; Software engineering; Programming language; Linguistics","score_opus":0.04808444048484034,"score_gpt":0.32746416313404925,"score_spread":0.2793797226492089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206379208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96779746,0.0012409502,0.017017152,0.0009136006,0.000040407554,0.00012459978,0.0008757356,0.00014956151,0.01184062],"genre_scores_gemma":[0.98574394,0.00021476504,0.012255874,0.000062101935,0.000016025495,0.0000463921,0.0012965422,0.000044471137,0.0003200289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866283,0.008175922,0.0012010086,0.00101445,0.0025783502,0.0004019322],"domain_scores_gemma":[0.6789151,0.2999968,0.0072335424,0.0057453006,0.006846582,0.0012626672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020696705,0.0006158718,0.0005787241,0.0038584447,0.0010632332,0.0052925255,0.0013429302,0.0016803856,0.0033357814],"category_scores_gemma":[0.21831016,0.00042610793,0.0006243182,0.0037072634,0.002177906,0.011068516,0.0024985217,0.0015904398,0.0003278639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062550097,0.0018764599,0.39528245,0.002110814,0.0012484496,0.00061582925,0.007896435,0.10029765,0.016522536,0.15002488,0.007342585,0.31052694],"study_design_scores_gemma":[0.0009224591,0.002237444,0.12675141,0.0010204067,0.0013312148,0.0010345314,0.020890683,0.6085138,0.017303683,0.20624548,0.013505752,0.00024323187],"about_ca_topic_score_codex":0.0060748984,"about_ca_topic_score_gemma":0.008114083,"teacher_disagreement_score":0.020696705,"about_ca_system_score_codex":0.0017549394,"about_ca_system_score_gemma":0.0015520857,"threshold_uncertainty_score":0.10945594},"labels":[],"label_agreement":null},{"id":"W3206844309","doi":"10.5281/zenodo.3474007","title":"Data From: The Future of OA: A large-scale analysis projecting Open Access publication and readership","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"OpenAlex","funders":"","keywords":"Audience measurement; Scale (ratio); World Wide Web; Library science; Data science; Computer science; Geography; Advertising; Business; Cartography","score_opus":0.2869196308501603,"score_gpt":0.4064628323479311,"score_spread":0.11954320149777081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206844309","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14473444,0.001685829,0.0059582726,0.00941464,0.0003399138,0.00024140524,0.8165323,0.0023195434,0.01877362],"genre_scores_gemma":[0.424948,0.0020056379,0.0112183,0.0010026458,0.00042616,0.0008099955,0.5403054,0.0010065705,0.018277247],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943078,0.0012020634,0.00059288536,0.00085985055,0.0026415265,0.00039577333],"domain_scores_gemma":[0.93445814,0.028488815,0.015362299,0.0064905914,0.012348558,0.0028515942],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.005933434,0.000582123,0.0006285767,0.005571431,0.0005904582,0.005464714,0.0013203991,0.0010102999,0.01837755],"category_scores_gemma":[0.049899213,0.000484133,0.0019323713,0.015896998,0.0005785457,0.005001297,0.0024611813,0.0018263377,0.014147744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007068275,0.00028208338,0.44797802,0.0016551521,0.00091898453,0.00031368597,0.0015945823,0.017170774,0.0008326668,0.012693475,0.45243198,0.063421816],"study_design_scores_gemma":[0.00016250207,0.00042719016,0.59419006,0.00065810763,0.0003343972,0.0003268441,0.003359476,0.030522598,0.0015001483,0.007960329,0.36027205,0.0002862401],"about_ca_topic_score_codex":0.028806815,"about_ca_topic_score_gemma":0.02329565,"teacher_disagreement_score":0.9986796,"about_ca_system_score_codex":0.002299874,"about_ca_system_score_gemma":0.0020875013,"threshold_uncertainty_score":0.061479032},"labels":[],"label_agreement":null},{"id":"W3208274507","doi":"","title":"SOCIAL ONTOLOGY IN BIG DATA ORGANIZING","year":2018,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Ontology; World Wide Web; Web Ontology Language; Semantic Web; Data science; Metadata; Big data; Data mining","score_opus":0.18223367143325198,"score_gpt":0.39602547941210026,"score_spread":0.21379180797884828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208274507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029827394,0.021218248,0.72919625,0.09104536,0.0019406131,0.0008616117,0.003985416,0.0015710028,0.12035409],"genre_scores_gemma":[0.512515,0.011458114,0.43704802,0.010377566,0.0021406405,0.0016507786,0.008051224,0.000812303,0.01594638],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9871012,0.006779305,0.00082434603,0.0024106996,0.0024158012,0.0004687062],"domain_scores_gemma":[0.9745311,0.0134802945,0.0015690288,0.0074606314,0.00161972,0.0013391733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014820534,0.00075140555,0.0013322758,0.0059984643,0.005386235,0.012831074,0.0033693449,0.0034839953,0.0069165085],"category_scores_gemma":[0.03792441,0.0008610373,0.002024598,0.011997681,0.012813944,0.028965222,0.014075996,0.00430364,0.0012298614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019155932,0.000025390194,0.0013320403,0.0001979263,0.000057994712,0.00012909216,0.001981315,0.0022048438,0.00008352321,0.9627723,0.009015039,0.022181403],"study_design_scores_gemma":[0.000008656338,0.000004031334,0.00048254384,0.0001361287,0.000012662413,0.000072319264,0.0013411258,0.007398339,0.00008966258,0.9228243,0.06761477,0.0000154975],"about_ca_topic_score_codex":0.00921819,"about_ca_topic_score_gemma":0.008750284,"teacher_disagreement_score":0.014820534,"about_ca_system_score_codex":0.007370625,"about_ca_system_score_gemma":0.0062108086,"threshold_uncertainty_score":0.07837939},"labels":[],"label_agreement":null},{"id":"W3209116929","doi":"10.5281/zenodo.4651421","title":"SEMAF: A Proposal for a Flexible Semantic Mapping Framework","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canarie","funders":"European Commission","keywords":"Computer science; Artificial intelligence","score_opus":0.04884492600088772,"score_gpt":0.2683942085496224,"score_spread":0.2195492825487347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209116929","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014566844,0.00012969703,0.9875136,0.002137082,0.00016802816,0.00030779245,0.0002509574,0.0019035772,0.0061326367],"genre_scores_gemma":[0.024500223,0.00023141282,0.96825314,0.0005510855,0.00009740934,0.00066648447,0.0011615203,0.0007105395,0.003828213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97680944,0.012127997,0.0028529323,0.0026915453,0.0042162803,0.0013018938],"domain_scores_gemma":[0.9778491,0.008184957,0.00087996083,0.0074693984,0.0038463732,0.0017700588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.059902042,0.0014058307,0.0015105603,0.007628459,0.005516089,0.014923689,0.0073182215,0.007793593,0.0077585573],"category_scores_gemma":[0.033975754,0.0019599875,0.004964381,0.0071350727,0.009143881,0.03723772,0.013638009,0.009239562,0.0042514955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005253415,0.00008224219,0.00036914676,0.00019269834,0.000052792853,0.00018775025,0.0025693567,0.0028187232,0.0006997342,0.95293784,0.0062549375,0.033782195],"study_design_scores_gemma":[0.000054626107,0.00006936118,0.00020621618,0.00038874935,0.0000788411,0.0005674364,0.0017371397,0.026478454,0.0022783696,0.6861852,0.28186613,0.00008947356],"about_ca_topic_score_codex":0.009325678,"about_ca_topic_score_gemma":0.009165534,"teacher_disagreement_score":0.059902042,"about_ca_system_score_codex":0.004129114,"about_ca_system_score_gemma":0.013513976,"threshold_uncertainty_score":0.31679606},"labels":[],"label_agreement":null},{"id":"W3209209470","doi":"","title":"Flight Procedures Description Using Semantic Roles","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Natural language processing; Human–computer interaction","score_opus":0.034427286011707435,"score_gpt":0.24599141015364867,"score_spread":0.21156412414194123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209209470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006408954,0.00023635195,0.97176623,0.00037671125,0.00012741334,0.00017827463,0.0013071448,0.0075207255,0.012078213],"genre_scores_gemma":[0.26047623,0.0009062473,0.7062444,0.0003675964,0.000112167574,0.00033098905,0.0070978305,0.0022802954,0.022184245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967284,0.0007999292,0.0004710899,0.0005228532,0.0011736003,0.00030404597],"domain_scores_gemma":[0.9971353,0.0010815716,0.00016553157,0.00090133795,0.00059782586,0.00011840188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029105602,0.0010765125,0.00068838825,0.0040641557,0.0012251823,0.006188085,0.0018717626,0.0019178167,0.010363363],"category_scores_gemma":[0.005569333,0.0009523079,0.002601642,0.0020502391,0.0016772978,0.007650611,0.0021606958,0.0019337714,0.0030951486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026713338,0.00015979794,0.0013171419,0.00048259037,0.00009835143,0.00071451004,0.0015541066,0.026103424,0.005776495,0.798857,0.013446805,0.15122274],"study_design_scores_gemma":[0.000086317894,0.00007902255,0.0006023903,0.00046141367,0.00022712431,0.00074924564,0.00072311214,0.3016497,0.03003261,0.3820965,0.2831357,0.00015690578],"about_ca_topic_score_codex":0.016413491,"about_ca_topic_score_gemma":0.012622649,"teacher_disagreement_score":0.016413491,"about_ca_system_score_codex":0.001807499,"about_ca_system_score_gemma":0.002803476,"threshold_uncertainty_score":0.034668922},"labels":[],"label_agreement":null},{"id":"W3209392273","doi":"10.32920/ryerson.14656047.v1","title":"Using decision trees for inductively driven semantic integration and ontology matching","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Computer science; Ontology alignment; Matching (statistics); Ontology components; Context (archaeology); Upper ontology; Information retrieval; Process ontology; Semantics (computer science); Set (abstract data type); Ontology-based data integration; Semantic heterogeneity; Semantic Web; Data science; Data mining; Mathematics; Programming language","score_opus":0.08408063797932097,"score_gpt":0.33634247701827596,"score_spread":0.252261839038955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209392273","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058203484,0.00010617696,0.99213433,0.00011964113,0.000018737772,0.00016030959,0.00008040618,0.00041159228,0.0011483768],"genre_scores_gemma":[0.08524652,0.0001582917,0.9128109,0.00010634573,0.000026175521,0.00023895087,0.0005021446,0.00013425142,0.0007763821],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98938316,0.004589497,0.00086970144,0.0013786139,0.003360375,0.00041859865],"domain_scores_gemma":[0.9832054,0.013340302,0.0007241067,0.00096054596,0.0015873257,0.00018233134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007696051,0.0011352353,0.0013393563,0.0044812737,0.0014541384,0.0034879874,0.0023231194,0.0018228333,0.0025541638],"category_scores_gemma":[0.03198154,0.0008827161,0.002631276,0.00409815,0.0019400718,0.0049246503,0.0033326265,0.0025091206,0.000903851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022256133,0.00034363003,0.003316004,0.00038550107,0.00025620146,0.00033961918,0.00085989473,0.3725754,0.0050728065,0.22221316,0.0029734874,0.39144176],"study_design_scores_gemma":[0.000023688155,0.000039247043,0.00019961517,0.0000492125,0.000043296717,0.00008313767,0.000081336184,0.82768476,0.0038521113,0.16424964,0.0036692487,0.000024727953],"about_ca_topic_score_codex":0.0073852283,"about_ca_topic_score_gemma":0.0074447957,"teacher_disagreement_score":0.007696051,"about_ca_system_score_codex":0.0028597792,"about_ca_system_score_gemma":0.002700349,"threshold_uncertainty_score":0.04070109},"labels":[],"label_agreement":null},{"id":"W3209765266","doi":"10.5220/0010688300003064","title":"COMET: An Ontology Extraction Tool based on a Hybrid Modularization Approach","year":2021,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Modular programming; Computer science; Comet; Ontology; Extraction (chemistry); Software engineering; Programming language; Astrobiology; Chemistry; Chromatography","score_opus":0.02648683924671082,"score_gpt":0.2681671955985758,"score_spread":0.241680356351865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209765266","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009367866,0.0005171545,0.89371604,0.00044617447,0.00020467585,0.0005180981,0.007965793,0.07959513,0.0076689795],"genre_scores_gemma":[0.06355245,0.0008487905,0.8599446,0.00085252954,0.000112746115,0.0007001971,0.051753853,0.014006521,0.008228282],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868625,0.00011025346,0.00015260666,0.00028318496,0.00068871095,0.0000789851],"domain_scores_gemma":[0.997875,0.0007425529,0.00019159842,0.0005195936,0.0005559879,0.00011521957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015563649,0.0015995709,0.001303459,0.0068896865,0.0011110001,0.0031136228,0.0017443051,0.0011137271,0.006565637],"category_scores_gemma":[0.005681601,0.0009489653,0.0027452295,0.003766004,0.0006146737,0.004447594,0.0035465318,0.0019233173,0.004261997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036428808,0.00052744214,0.009122666,0.0031067256,0.0011034742,0.00185454,0.0013143449,0.004860035,0.04401462,0.04595728,0.16189972,0.7258749],"study_design_scores_gemma":[0.00035302396,0.00018876883,0.012650277,0.0009899301,0.00091513846,0.0045681125,0.00079905713,0.13949744,0.08633307,0.068766065,0.68459094,0.00034813935],"about_ca_topic_score_codex":0.0033512453,"about_ca_topic_score_gemma":0.006544784,"teacher_disagreement_score":0.0068896865,"about_ca_system_score_codex":0.00092898565,"about_ca_system_score_gemma":0.0020144715,"threshold_uncertainty_score":0.021964192},"labels":[],"label_agreement":null},{"id":"W3210395320","doi":"10.1609/aimag.v38i3.2755","title":"Reports of the Workshops of the 31st AAAI Conference on Artificial Intelligence","year":2017,"lang":"en","type":"article","venue":"AI Magazine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Ottawa; McGill University","funders":"","keywords":"Library science; Engineering; Range (aeronautics); Operations research; Square (algebra); Artificial intelligence; Cartography; Computer science; Geography; Mathematics","score_opus":0.06194489864395925,"score_gpt":0.3015936921438212,"score_spread":0.23964879349986196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210395320","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015510338,0.040968444,0.025853086,0.13627635,0.3177512,0.002109717,0.022340687,0.0027837832,0.43640634],"genre_scores_gemma":[0.032931477,0.0330738,0.020436672,0.013308882,0.037913386,0.0012179425,0.04899739,0.0015231259,0.81059736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955947,0.0007558386,0.00026548424,0.0003872494,0.0025701143,0.0004265746],"domain_scores_gemma":[0.98472494,0.0016394075,0.00058455655,0.0011949638,0.00822868,0.0036274192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009779055,0.0014386016,0.0011230621,0.0042076185,0.0025931848,0.007268091,0.001928375,0.0020125275,0.08148726],"category_scores_gemma":[0.012902892,0.0005864663,0.00090282847,0.0030391063,0.0007654684,0.0055533657,0.0036956102,0.0045217643,0.03847458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011055043,0.00015779976,0.00038099982,0.00016153847,0.000016905216,0.00006715071,0.00015020353,0.0001255371,0.00052237435,0.0017249011,0.9524675,0.044114526],"study_design_scores_gemma":[0.000025779054,0.00004877791,0.0014318065,0.0001368629,0.000025716636,0.000052350082,0.00035957288,0.00047377127,0.0009063602,0.0028185863,0.9936879,0.000032626027],"about_ca_topic_score_codex":0.0056737643,"about_ca_topic_score_gemma":0.019143349,"teacher_disagreement_score":0.08148726,"about_ca_system_score_codex":0.0022798858,"about_ca_system_score_gemma":0.0050864737,"threshold_uncertainty_score":0.27260208},"labels":[],"label_agreement":null},{"id":"W3210677535","doi":"10.5281/zenodo.4047761","title":"Introducing the Initiative for Open Abstracts (I4OA)","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Political science","score_opus":0.10556624831884139,"score_gpt":0.28402111736670427,"score_spread":0.1784548690478629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210677535","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016775199,0.019116296,0.12267785,0.45427147,0.11555519,0.0031259095,0.006206099,0.018423188,0.2589464],"genre_scores_gemma":[0.023581885,0.027585948,0.34456077,0.16172335,0.06338891,0.0104279285,0.016665226,0.022850297,0.32921562],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.8263527,0.06764611,0.023275467,0.01098979,0.0646661,0.0070698336],"domain_scores_gemma":[0.63219565,0.12581466,0.02242628,0.04716978,0.09990077,0.07249286],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.1507553,0.0018110874,0.0014449189,0.013342676,0.008172667,0.0434422,0.0074880016,0.0143572325,0.097211644],"category_scores_gemma":[0.28833094,0.002549063,0.0039304625,0.00861486,0.009345607,0.054780964,0.049175728,0.017321493,0.09963053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085886764,0.000063175474,0.0003503956,0.0016446598,0.00004444746,0.00018378564,0.0022212109,0.00009377922,0.0009344653,0.09221846,0.74705744,0.15510224],"study_design_scores_gemma":[0.000011946682,0.000012431117,0.00012349733,0.00041844934,0.000005835756,0.000066147244,0.00027131155,0.000032717355,0.00011215557,0.010254592,0.988664,0.000027008542],"about_ca_topic_score_codex":0.0037012643,"about_ca_topic_score_gemma":0.0045908666,"teacher_disagreement_score":0.992512,"about_ca_system_score_codex":0.009490512,"about_ca_system_score_gemma":0.048165467,"threshold_uncertainty_score":0.7972798},"labels":[],"label_agreement":null},{"id":"W3211248567","doi":"10.5753/sbsi.2009.6190","title":"Especificação e Processamento de Ontologias para a Semantic Web","year":2009,"lang":"pt","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"College of Family Physicians of Canada","funders":"","keywords":"Semantic Web; Computer science; RDF; Schema (genetic algorithms); Social Semantic Web; World Wide Web; Information retrieval","score_opus":0.05993435847717994,"score_gpt":0.3090573807649414,"score_spread":0.24912302228776145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211248567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005353756,0.0012965463,0.97029513,0.0015736582,0.00035560335,0.00036451008,0.000398398,0.0030597008,0.017302733],"genre_scores_gemma":[0.071134046,0.0050355135,0.893357,0.0010940101,0.0005986357,0.00051802973,0.0015285268,0.0017528642,0.024981376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9937185,0.0020768992,0.00070940505,0.00082331133,0.0024473015,0.000224533],"domain_scores_gemma":[0.99143666,0.0026976485,0.0003249403,0.0038260336,0.0013659074,0.0003489031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007944136,0.0012355403,0.0010078897,0.0035630865,0.0024770375,0.009706409,0.0017844612,0.0020011065,0.0065905587],"category_scores_gemma":[0.013559764,0.001208658,0.0024782761,0.003204857,0.0029137656,0.013863674,0.0066957143,0.0046772743,0.0037577534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007570011,0.00026852533,0.0021313825,0.0014555046,0.00012926495,0.0007888008,0.005382453,0.0027518636,0.023412868,0.59906685,0.0122167375,0.35232008],"study_design_scores_gemma":[0.000026717622,0.00010082308,0.0019288596,0.00064862997,0.0001434541,0.0014634054,0.0016293187,0.02410655,0.021101927,0.3254274,0.6233191,0.000103810184],"about_ca_topic_score_codex":0.002271545,"about_ca_topic_score_gemma":0.0031033915,"teacher_disagreement_score":0.009706409,"about_ca_system_score_codex":0.0015115314,"about_ca_system_score_gemma":0.004189666,"threshold_uncertainty_score":0.04201311},"labels":[],"label_agreement":null},{"id":"W3217194746","doi":"10.1007/978-3-030-91669-5_29","title":"Integrating Heterogeneous Data About Quebec Literature into an IFLA LRM Knowledge Base","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Interoperability; Schema (genetic algorithms); Knowledge base; Data integration; Data science; Base (topology); Linked data; World Wide Web; Information retrieval; Data mining; Semantic Web","score_opus":0.03207575581690115,"score_gpt":0.2899730177300848,"score_spread":0.2578972619131837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217194746","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12775117,0.008812579,0.11003772,0.0035381871,0.00033297692,0.0014660993,0.5295456,0.013279317,0.20523648],"genre_scores_gemma":[0.30708063,0.005165369,0.21565685,0.0006318005,0.00010975429,0.0005772792,0.43131965,0.00071582646,0.03874292],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992762,0.00008719199,0.000081006685,0.0001647061,0.00030795723,0.00008293934],"domain_scores_gemma":[0.9979157,0.00060316286,0.00013317798,0.0002477253,0.0009784382,0.00012174891],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007605369,0.00091411057,0.0006933127,0.030844422,0.002307506,0.0035939116,0.001832737,0.0008202318,0.018015316],"category_scores_gemma":[0.004530941,0.00041417396,0.0009875204,0.023581758,0.0007144531,0.0030136753,0.0014847437,0.0007630356,0.0042320495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043276837,0.00030416672,0.04950322,0.0023638078,0.0005324914,0.0027286632,0.0032655096,0.018275771,0.009385776,0.032882906,0.24016674,0.6401582],"study_design_scores_gemma":[0.000053623993,0.000056027664,0.045812182,0.0014712295,0.00076749595,0.000687665,0.0034732842,0.04619665,0.00941086,0.009396247,0.88251233,0.00016229808],"about_ca_topic_score_codex":0.8156996,"about_ca_topic_score_gemma":0.9205854,"teacher_disagreement_score":0.9964061,"about_ca_system_score_codex":0.009346994,"about_ca_system_score_gemma":0.010987985,"threshold_uncertainty_score":0.3707716},"labels":[],"label_agreement":null},{"id":"W322118655","doi":"","title":"Uncertainty Management for Description Logic-based Ontologies","year":2008,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Description logic; Axiom; Computer science; Assertion; Knowledge representation and reasoning; Knowledge base; Ontology; Theoretical computer science; Web Ontology Language; Artificial intelligence; Semantic Web; Mathematics; Programming language; Epistemology","score_opus":0.0596552983070569,"score_gpt":0.29679947170403953,"score_spread":0.23714417339698263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W322118655","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048495363,0.0018176406,0.98194927,0.0017376232,0.00013024898,0.0001890076,0.00026434206,0.00035733706,0.008705077],"genre_scores_gemma":[0.28861713,0.0044171843,0.69668984,0.0010129136,0.00055495364,0.00069979916,0.0014033265,0.00021154112,0.0063933483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98682016,0.004977088,0.0013957516,0.0014299304,0.0047009257,0.0006761323],"domain_scores_gemma":[0.9903043,0.0058224164,0.000832508,0.001398219,0.0013374831,0.00030510145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011481265,0.0009879562,0.00138031,0.0036397702,0.002439559,0.008080481,0.0029990915,0.002005509,0.0025678289],"category_scores_gemma":[0.023294674,0.0009759133,0.0028469842,0.003909894,0.0040465225,0.0104063,0.0072188177,0.0040028268,0.00059370615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036080335,0.000028578967,0.00024370413,0.0001768424,0.000065355795,0.00025350405,0.0003332604,0.053144965,0.0005870449,0.9088513,0.0019457396,0.034333576],"study_design_scores_gemma":[0.000014001166,0.000011564922,0.000055041666,0.00008951218,0.000034435194,0.00006349677,0.0001126834,0.19717743,0.0007373767,0.7878629,0.013816666,0.00002488676],"about_ca_topic_score_codex":0.007195842,"about_ca_topic_score_gemma":0.0053693154,"teacher_disagreement_score":0.011481265,"about_ca_system_score_codex":0.0065719285,"about_ca_system_score_gemma":0.0038698984,"threshold_uncertainty_score":0.06071949},"labels":[],"label_agreement":null},{"id":"W328618607","doi":"","title":"Between the Two Images: Reconciling the Scientific and Manifest Images","year":2007,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Epistemology; Phenomenology (philosophy); Perception; Philosophy of science; Argumentation theory; Relation (database); Philosophy; Psychology; Computer science","score_opus":0.03149437105356697,"score_gpt":0.24803965904219172,"score_spread":0.21654528798862474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W328618607","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14997678,0.0028493742,0.3102125,0.068828225,0.0017387603,0.00019288795,0.00019655263,0.00036031578,0.46564454],"genre_scores_gemma":[0.9723102,0.00038653897,0.02074287,0.0009325274,0.00016385535,0.00009236953,0.0000549243,0.00012777933,0.005188859],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9908761,0.005557875,0.00029417902,0.00079692836,0.0018241403,0.00065086584],"domain_scores_gemma":[0.9881479,0.00649955,0.001248248,0.0022062964,0.0012146359,0.00068329694],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009801108,0.0005337714,0.0006809193,0.0028359499,0.005488592,0.017223064,0.0014530013,0.004366721,0.005016378],"category_scores_gemma":[0.026922096,0.000720745,0.00062880706,0.0017703655,0.0499976,0.039448377,0.009411216,0.0069379257,0.0005133303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018714452,0.000006429511,0.00011155939,0.00002199252,0.0000024661729,0.00006892272,0.010995927,0.0000692844,0.00014254819,0.98567146,0.00037434846,0.0025163097],"study_design_scores_gemma":[0.000023422475,0.000022474276,0.00023059991,0.00008544037,0.00001022459,0.00015160035,0.013194646,0.0009368106,0.00044140505,0.9648464,0.020038748,0.000018312767],"about_ca_topic_score_codex":0.0016340114,"about_ca_topic_score_gemma":0.0015652686,"teacher_disagreement_score":0.9945114,"about_ca_system_score_codex":0.004630305,"about_ca_system_score_gemma":0.0036611387,"threshold_uncertainty_score":0.05183381},"labels":[],"label_agreement":null},{"id":"W33096334","doi":"10.1016/j.nepr.2020.102885","title":"Development of modular ontologies in Casl","year":2006,"lang":"en","type":"article","venue":"Nurse Education in Practice","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Programming language; Description logic; Algebraic specification; Rotation formalisms in three dimensions; Modular design; Web Ontology Language; Specification language; Semantic Web; Artificial intelligence; Mathematics","score_opus":0.015127446926502352,"score_gpt":0.32242441379731834,"score_spread":0.307296966870816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W33096334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05445697,0.00037242402,0.89356846,0.0018995209,0.000235289,0.0011228553,0.00094205304,0.008267132,0.039135333],"genre_scores_gemma":[0.19542535,0.00039331452,0.78915083,0.00039290736,0.00004933723,0.00044915188,0.0026299641,0.0011379033,0.0103712315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954555,0.0013735371,0.00060177024,0.00075103116,0.0015169323,0.0003011837],"domain_scores_gemma":[0.9911993,0.0030622252,0.00067265594,0.0026410797,0.001979491,0.0004451587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006788315,0.00060949574,0.00046046913,0.0030320322,0.001771769,0.004094073,0.0015041942,0.0010815489,0.004345015],"category_scores_gemma":[0.01583607,0.000653877,0.0018858506,0.002107275,0.0026540349,0.010846003,0.005586684,0.0019707351,0.0014920606],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001922294,0.00041402693,0.01177284,0.0009296946,0.00013253461,0.0013211331,0.013602868,0.01490464,0.01194247,0.47573206,0.013039573,0.45601588],"study_design_scores_gemma":[0.0000791932,0.000231471,0.0038962888,0.0008420563,0.00024339337,0.0015353622,0.00565845,0.116829574,0.023236861,0.22714047,0.6201411,0.00016583617],"about_ca_topic_score_codex":0.008571207,"about_ca_topic_score_gemma":0.014830332,"teacher_disagreement_score":0.008571207,"about_ca_system_score_codex":0.0026453126,"about_ca_system_score_gemma":0.0056325453,"threshold_uncertainty_score":0.035900474},"labels":[],"label_agreement":null},{"id":"W3321838","doi":"","title":"International Workshop on Applications of Semantic Web Technologies for E-Learning (SW-EL'05)","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Semantic Web; Social Semantic Web; Ontology; Personalization; Context (archaeology); Semantic Web Stack; Semantic interoperability; Multimedia; Interoperability; Information retrieval","score_opus":0.018920827401086103,"score_gpt":0.28953406571080886,"score_spread":0.2706132383097228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3321838","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021791574,0.070173316,0.621277,0.038667195,0.04735624,0.0015601846,0.0041538514,0.0072492277,0.18777141],"genre_scores_gemma":[0.09103337,0.04706655,0.46083423,0.010566793,0.0057038483,0.0016586763,0.022331417,0.00322314,0.35758188],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941169,0.002167947,0.0005716684,0.00064299814,0.001767729,0.00073262607],"domain_scores_gemma":[0.9940971,0.0016450803,0.00019443454,0.0010379216,0.0019843676,0.001041021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0095270965,0.0014490692,0.0017718171,0.0021458534,0.0010756493,0.008054563,0.0031593703,0.0038771457,0.028315216],"category_scores_gemma":[0.008109774,0.0007313936,0.0018552365,0.0028247624,0.001172766,0.009261063,0.0058213975,0.0052903495,0.014198332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006037287,0.00077962107,0.0009789113,0.0010351938,0.00014462418,0.00042809758,0.0011737678,0.0027608355,0.005581968,0.07616006,0.35748652,0.55286664],"study_design_scores_gemma":[0.00006239524,0.00019705256,0.0011244277,0.000649122,0.000042447075,0.00039954038,0.00059417816,0.007570907,0.0026123004,0.03139452,0.95531625,0.000036893005],"about_ca_topic_score_codex":0.0031709278,"about_ca_topic_score_gemma":0.0032663483,"teacher_disagreement_score":0.028315216,"about_ca_system_score_codex":0.0017356782,"about_ca_system_score_gemma":0.0034578342,"threshold_uncertainty_score":0.09472382},"labels":[],"label_agreement":null},{"id":"W373971075","doi":"","title":"Multilingual Ontology Specification: a collaborative approach","year":2012,"lang":"en","type":"article","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Computer science; Ontology; Information retrieval; Natural language processing; World Wide Web; Software engineering; Programming language","score_opus":0.10824085509496362,"score_gpt":0.3985814803160908,"score_spread":0.2903406252211272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W373971075","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000988277,0.000048836304,0.9967435,0.00016628182,0.000015217076,0.000108400476,0.000047902686,0.00045516578,0.0014265548],"genre_scores_gemma":[0.036401827,0.00019800701,0.95828974,0.00014078531,0.000033017946,0.00049904943,0.0008063495,0.0005646211,0.0030665337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.97491926,0.012426556,0.0031232731,0.003028598,0.005587523,0.0009148308],"domain_scores_gemma":[0.97713894,0.010290357,0.0013719514,0.006300825,0.0040301676,0.00086783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020530017,0.0015287029,0.001437704,0.0046279035,0.0034696797,0.009516146,0.005597099,0.0028120484,0.0059754],"category_scores_gemma":[0.026448341,0.0016312329,0.0040621627,0.004213709,0.0037643888,0.016017765,0.014163821,0.0050709397,0.0027285304],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001516884,0.00030514447,0.001576835,0.0009290517,0.0002606953,0.0010687818,0.016057255,0.011464632,0.009023818,0.6663774,0.006354398,0.2864304],"study_design_scores_gemma":[0.00012535084,0.0001638506,0.0007884403,0.0010337521,0.00035921787,0.0017432785,0.010651006,0.14468366,0.026127229,0.41783243,0.39617682,0.0003149331],"about_ca_topic_score_codex":0.00485901,"about_ca_topic_score_gemma":0.004993447,"teacher_disagreement_score":0.020530017,"about_ca_system_score_codex":0.0024499903,"about_ca_system_score_gemma":0.006940058,"threshold_uncertainty_score":0.10857439},"labels":[],"label_agreement":null},{"id":"W39689944","doi":"10.1007/978-3-642-35758-9_50","title":"A Holistic Approach for the Architecture and Design of an Ontology-Based Data Integration Capability in Product Master Data Management","year":2012,"lang":"en","type":"book-chapter","venue":"IFIP International Federation for Information Processing/IFIP","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Ontology; Product data management; Product lifecycle; Computer science; Domain (mathematical analysis); Context (archaeology); Product management; Systems engineering; Architecture; Product (mathematics); Knowledge management; Software engineering; Process management; New product development; Engineering; Business","score_opus":0.1821576598778749,"score_gpt":0.32681720497205147,"score_spread":0.14465954509417656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W39689944","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026458332,0.0007278058,0.9854715,0.0013101847,0.00009173382,0.0001107034,0.00008564438,0.00055762695,0.0089990115],"genre_scores_gemma":[0.039881315,0.0013581077,0.9505489,0.00046743557,0.000054841094,0.00027134243,0.0004277253,0.00021845895,0.006771926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782276,0.000418898,0.000281711,0.00036300617,0.0008789674,0.000234795],"domain_scores_gemma":[0.9992792,0.00016553079,0.000054043052,0.00021080504,0.00020122677,0.000089210596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029588242,0.00067229936,0.000808236,0.0016640931,0.0018029698,0.008516347,0.003580602,0.0023093268,0.0026005125],"category_scores_gemma":[0.0024526909,0.0014219439,0.0017179472,0.0031762363,0.002769311,0.009129153,0.0047646533,0.0035596834,0.0013488015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036281264,0.00009787743,0.0004997124,0.000343428,0.00010360341,0.00045532236,0.002853219,0.014342753,0.009676302,0.83338255,0.009269329,0.12893964],"study_design_scores_gemma":[0.000026426273,0.00008756192,0.00060857023,0.0005065606,0.00024596773,0.00091422576,0.0012242754,0.12594713,0.0131528415,0.53691137,0.32027316,0.00010188707],"about_ca_topic_score_codex":0.006508872,"about_ca_topic_score_gemma":0.008403091,"teacher_disagreement_score":0.008516347,"about_ca_system_score_codex":0.0020678835,"about_ca_system_score_gemma":0.004838854,"threshold_uncertainty_score":0.015647948},"labels":[],"label_agreement":null},{"id":"W4200156700","doi":"10.1016/j.jarmac.2021.10.008","title":"Reasoning = representation + process: Common ground for Fuzzy Trace and Dual Process Theories.","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Research in Memory and Cognition","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"TRACE (psycholinguistics); Process (computing); Dual (grammatical number); Dual process theory (moral psychology); Psychology; Common ground; Representation (politics); Fuzzy logic; Cognitive psychology; Cognitive science; Artificial intelligence; Social psychology; Computer science; Linguistics; Programming language; Political science","score_opus":0.06676554172009617,"score_gpt":0.3874313391208839,"score_spread":0.3206657974007877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200156700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02117419,0.0012328837,0.92268974,0.004252656,0.00021026218,0.00016411567,0.0003232799,0.00033001433,0.049622826],"genre_scores_gemma":[0.73652333,0.00083114725,0.2509398,0.0006590642,0.00033444772,0.00038573207,0.0007852394,0.00014138392,0.009399891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99692875,0.0010562174,0.0003458697,0.00066277967,0.00069854996,0.0003078823],"domain_scores_gemma":[0.9917066,0.0043280446,0.0005367258,0.001945271,0.0010185433,0.00046483157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004608662,0.0008396323,0.0012705093,0.003072453,0.0022149824,0.0070365337,0.0029384731,0.003575738,0.012669786],"category_scores_gemma":[0.014990148,0.0006478587,0.0026925886,0.0025267473,0.008619613,0.024101423,0.004187297,0.0042909454,0.0011484064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019590014,0.000017607212,0.000098695535,0.000029338373,0.000013292523,0.00003517484,0.00023594794,0.0005392472,0.000057837413,0.99307644,0.0002800479,0.0055966843],"study_design_scores_gemma":[0.0000095291225,0.0000053970016,0.00003547234,0.000013225903,0.00000831826,0.000024391597,0.00005063585,0.004674916,0.00006363667,0.9943752,0.00073473033,0.000004462046],"about_ca_topic_score_codex":0.007662408,"about_ca_topic_score_gemma":0.0031957135,"teacher_disagreement_score":0.012669786,"about_ca_system_score_codex":0.0027144938,"about_ca_system_score_gemma":0.0027703769,"threshold_uncertainty_score":0.042384624},"labels":[],"label_agreement":null},{"id":"W4200479261","doi":"10.16995/dm.8064","title":"Medieval Manuscripts and Their Migrations: Using SPARQL to Investigate the Research Potential of an Aggregated Knowledge Graph","year":2021,"lang":"en","type":"article","venue":"Digital Medievalist","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Aalto-Yliopisto; China Scholarship Council; University of Oxford; Helsingin Yliopisto; University of Pennsylvania","keywords":"SPARQL; Computer science; Linked data; RDF; Data science; Process (computing); Named graph; Graph; Information retrieval; World Wide Web; Semantic Web","score_opus":0.11219238105587054,"score_gpt":0.3369605060637031,"score_spread":0.22476812500783255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200479261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5701532,0.0009876082,0.35026896,0.009010063,0.00025046527,0.0008863186,0.022441072,0.010086491,0.035915878],"genre_scores_gemma":[0.6797801,0.00047372078,0.29686305,0.0010002715,0.000047532205,0.00032450352,0.017221326,0.0010123367,0.003277102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99093115,0.004121905,0.000681705,0.0012046352,0.002701834,0.00035871845],"domain_scores_gemma":[0.9684863,0.02116731,0.0015005922,0.005308992,0.0028335655,0.00070328393],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010174627,0.00035630848,0.00036757695,0.003406607,0.0018983452,0.005230598,0.0019647998,0.0010473621,0.0021005804],"category_scores_gemma":[0.03425236,0.00035660889,0.0010017491,0.006723827,0.0024156796,0.011567708,0.005081739,0.0018387256,0.00044129413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011050199,0.0012564269,0.10649721,0.001675386,0.0003023519,0.0037907783,0.084777795,0.084143326,0.017289573,0.4583957,0.035347424,0.20541903],"study_design_scores_gemma":[0.00012699909,0.00029458615,0.021017026,0.00039187365,0.00014886519,0.0012208613,0.0498143,0.31126064,0.021641098,0.28533703,0.30854678,0.00019991503],"about_ca_topic_score_codex":0.03999937,"about_ca_topic_score_gemma":0.041509327,"teacher_disagreement_score":0.9947694,"about_ca_system_score_codex":0.0030946718,"about_ca_system_score_gemma":0.0027429066,"threshold_uncertainty_score":0.0795331},"labels":[],"label_agreement":null},{"id":"W4200544851","doi":"10.36334/modsim.2021.f5.erechtchoukova","title":"Application of topic modelling to Integrated Water Resource Assessment domain","year":2021,"lang":"en","type":"article","venue":"MODSIM2021, 24th International Congress on Modelling and Simulation.","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Resource (disambiguation); Domain (mathematical analysis)","score_opus":0.03291010936893558,"score_gpt":0.3012946653803893,"score_spread":0.2683845560114537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200544851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09568048,0.009058444,0.8684314,0.0035837311,0.00048756893,0.0010785207,0.005038767,0.0020016728,0.014639413],"genre_scores_gemma":[0.4521575,0.0056099193,0.52861196,0.0003381774,0.0007351178,0.0012848711,0.0069492306,0.00033713793,0.003976079],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99384403,0.0032170294,0.0005877841,0.0010242703,0.0011067137,0.00022027195],"domain_scores_gemma":[0.96447045,0.030447349,0.001486353,0.0009965042,0.002276518,0.000322797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073411376,0.00092428253,0.001083883,0.008888452,0.0017079952,0.005115486,0.0016211261,0.0017444786,0.0022594107],"category_scores_gemma":[0.024498245,0.000580825,0.0023766705,0.011707896,0.0010214394,0.004508459,0.0020697983,0.0017486281,0.00075410417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010537874,0.00067725533,0.037685428,0.006090934,0.0012127376,0.00476165,0.01770854,0.14424661,0.013294986,0.102400646,0.021773044,0.64909434],"study_design_scores_gemma":[0.00014748958,0.0002520062,0.017742133,0.00079062086,0.00046213277,0.0018699698,0.007951635,0.7212495,0.009754866,0.12565523,0.113919735,0.00020467589],"about_ca_topic_score_codex":0.005770135,"about_ca_topic_score_gemma":0.0044640717,"teacher_disagreement_score":0.008888452,"about_ca_system_score_codex":0.001701448,"about_ca_system_score_gemma":0.002140576,"threshold_uncertainty_score":0.03882408},"labels":[],"label_agreement":null},{"id":"W4205840005","doi":"10.32920/ryerson.14641050.v2","title":"The strongest link: libraries and linked data","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Semantic Web; Data Web; World Wide Web; Web standards; Social Semantic Web; Semantic Web Stack; Linked data; Software portability; Web modeling; Information retrieval; Metadata; Semantic search; Web development; Web page","score_opus":0.08090991699656903,"score_gpt":0.2848775912802155,"score_spread":0.20396767428364648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205840005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007703879,0.042627655,0.555346,0.11894719,0.0041336413,0.00028869702,0.0023322445,0.007791951,0.2608287],"genre_scores_gemma":[0.26771188,0.09010918,0.42712605,0.032083,0.013766679,0.00097233214,0.009677082,0.0053575337,0.15319623],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9889712,0.0053420584,0.00062403484,0.0010784068,0.0034895008,0.000494929],"domain_scores_gemma":[0.9738029,0.013628751,0.0018411926,0.005661783,0.003244776,0.0018206021],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008684594,0.00079716585,0.0011719062,0.012011305,0.0066600293,0.027112788,0.0031279782,0.006340841,0.024802685],"category_scores_gemma":[0.049469877,0.0009564356,0.0009659717,0.025614511,0.007943456,0.048368827,0.014623776,0.005206223,0.0077857547],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025005631,0.000023333878,0.00049674435,0.00020153991,0.000027844182,0.00013919435,0.00058193394,0.000636665,0.00007786464,0.89622444,0.038774073,0.062791325],"study_design_scores_gemma":[0.000011614513,0.0000065408753,0.00016610444,0.00031082032,0.000019363717,0.00022033486,0.00033525567,0.0016562507,0.0002466932,0.7131192,0.28387842,0.000029431596],"about_ca_topic_score_codex":0.0069201128,"about_ca_topic_score_gemma":0.005255657,"teacher_disagreement_score":0.9728872,"about_ca_system_score_codex":0.0036532518,"about_ca_system_score_gemma":0.0052963225,"threshold_uncertainty_score":0.08297324},"labels":[],"label_agreement":null},{"id":"W4206054500","doi":"10.1007/s40593-021-00286-8","title":"Evaluation of Digital Competence Profiles Using Dialetheic Logic","year":2022,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Vagueness; Ambiguity; Competence (human resources); Natural language processing; Artificial intelligence; Knowledge management; Fuzzy logic; Psychology","score_opus":0.13473185251333417,"score_gpt":0.3996266495057724,"score_spread":0.26489479699243823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206054500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55630517,0.00027882608,0.42438734,0.0006445484,0.00004668761,0.000553978,0.0007167476,0.0005023811,0.016564284],"genre_scores_gemma":[0.9062884,0.00010861538,0.091953605,0.000049581515,0.0000084242,0.0001336085,0.00069566333,0.000026060308,0.0007360297],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99169356,0.0034768018,0.0009829439,0.0009849181,0.0024914448,0.00037021446],"domain_scores_gemma":[0.9824593,0.010920196,0.0016211899,0.001184232,0.003218367,0.0005967523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008189781,0.00055596244,0.0005285602,0.006949463,0.0011281354,0.0049600373,0.0010840498,0.0008248845,0.0024163174],"category_scores_gemma":[0.033677883,0.00021204725,0.0010236792,0.0029711032,0.0015612794,0.0071039316,0.0038353645,0.000849187,0.00041180788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014565886,0.0010474668,0.09952315,0.0010638342,0.00032556537,0.00081498106,0.010322876,0.08221178,0.014664572,0.35359123,0.002285597,0.43269232],"study_design_scores_gemma":[0.00010884205,0.00046307044,0.01883382,0.00022002746,0.00015018629,0.00042381865,0.0072939177,0.8217743,0.017238196,0.12586366,0.0075065144,0.00012362837],"about_ca_topic_score_codex":0.0066887788,"about_ca_topic_score_gemma":0.0030789142,"teacher_disagreement_score":0.008189781,"about_ca_system_score_codex":0.0039209495,"about_ca_system_score_gemma":0.002438465,"threshold_uncertainty_score":0.04331225},"labels":[],"label_agreement":null},{"id":"W4206325157","doi":"10.3233/faia210371","title":"Towards a Unified Dispositional Framework for Realizable Entities","year":2021,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Ontology; Computer science; Formal description; Formal ontology; Epistemology; Knowledge management; Management science; Cognitive science; Process ontology; Psychology; Engineering; Programming language; Philosophy; Domain knowledge","score_opus":0.05535828876582858,"score_gpt":0.29875731499859354,"score_spread":0.24339902623276496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206325157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056295497,0.0028781812,0.80489224,0.0049569337,0.0005500381,0.00010141754,0.00021271262,0.00029736097,0.18048151],"genre_scores_gemma":[0.26792008,0.0052138856,0.6655113,0.0016747288,0.00072798465,0.0005838199,0.00070711906,0.00038826864,0.0572729],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999,0.00038549508,0.000079781916,0.00017346418,0.00026370867,0.00009753714],"domain_scores_gemma":[0.9991792,0.0002617119,0.00005899374,0.00021628564,0.00018182083,0.0001020471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003195984,0.0007876007,0.00068067503,0.0023571432,0.0023983687,0.005444935,0.0018389927,0.002220166,0.003393421],"category_scores_gemma":[0.0018159463,0.00065287,0.0011432796,0.0019015699,0.012557442,0.012343248,0.003316616,0.0052471426,0.0012992697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.7851995e-7,0.0000011267188,0.0000074680556,0.000005572933,3.5154733e-7,0.000007903351,0.0000848945,0.00011586596,0.000030178351,0.9987463,0.0002175572,0.00078229257],"study_design_scores_gemma":[0.0000027452515,0.00000285937,0.000037129812,0.000028431677,0.0000023288562,0.000040804796,0.00010727271,0.0017881173,0.000083716746,0.96227187,0.03562915,0.0000055770483],"about_ca_topic_score_codex":0.0044464227,"about_ca_topic_score_gemma":0.005383603,"teacher_disagreement_score":0.005444935,"about_ca_system_score_codex":0.0040575294,"about_ca_system_score_gemma":0.002609213,"threshold_uncertainty_score":0.029439569},"labels":[],"label_agreement":null},{"id":"W4210619440","doi":"10.1109/icde.2007.367864","title":"&amp;#x003BC;BE: User Guided Source Selection and Schema Mediation for Internet Scale Data Integration","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data integration; Schema (genetic algorithms); Iterative and incremental development; Data mining; User interface; The Internet; Information retrieval; World Wide Web; Software engineering; Programming language","score_opus":0.08356221980124992,"score_gpt":0.3332483901765674,"score_spread":0.24968617037531746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210619440","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005842433,0.00017427077,0.96464956,0.00039389607,0.000029468556,0.0001846748,0.00022446616,0.021783847,0.006717424],"genre_scores_gemma":[0.06644124,0.0002149603,0.9240675,0.00028204633,0.000013514074,0.00042420838,0.00077097426,0.0026654515,0.005120151],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973646,0.0014275294,0.00012863992,0.0002090096,0.0007664402,0.00010389093],"domain_scores_gemma":[0.99655664,0.0019541695,0.00013441913,0.0009120968,0.00030989532,0.00013285411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057220506,0.0009162574,0.00064112665,0.001787894,0.0011344353,0.0032803158,0.0020147027,0.0015902391,0.015624709],"category_scores_gemma":[0.0132153705,0.0007073561,0.0006370731,0.0020290532,0.0011230129,0.0041257315,0.004439188,0.0011394043,0.0053131925],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010024363,0.0005041429,0.0028622227,0.0007149854,0.0001463925,0.00091248704,0.0037424741,0.011929017,0.041430905,0.08699551,0.08431162,0.7654478],"study_design_scores_gemma":[0.0003929766,0.00023741719,0.002569067,0.00036144743,0.000075695825,0.0015637396,0.0011724419,0.3571994,0.08891835,0.10960183,0.43767172,0.00023590663],"about_ca_topic_score_codex":0.0026487694,"about_ca_topic_score_gemma":0.0047115064,"teacher_disagreement_score":0.015624709,"about_ca_system_score_codex":0.0006153305,"about_ca_system_score_gemma":0.0010199191,"threshold_uncertainty_score":0.052269816},"labels":[],"label_agreement":null},{"id":"W4210654554","doi":"10.3233/ao-220263","title":"TUpper: A top level ontology within standards1","year":2022,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Ontology components; Computer science; Process ontology; Upper ontology; Ontology-based data integration; Ontology alignment; Set (abstract data type); Suggested Upper Merged Ontology; Information retrieval; Semantic Web; Theoretical computer science; Programming language","score_opus":0.031116429287425664,"score_gpt":0.2533106951443558,"score_spread":0.2221942658569301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210654554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030214337,0.0011382063,0.91730124,0.0031348502,0.00092261034,0.0005275754,0.0016810965,0.008669919,0.06360306],"genre_scores_gemma":[0.061729074,0.00360384,0.8791596,0.0024879084,0.00059954554,0.0010920358,0.008851621,0.0027292527,0.039747074],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9907108,0.0024355843,0.0012167431,0.0010891018,0.0037057207,0.0008420879],"domain_scores_gemma":[0.9964923,0.0009532928,0.00031689965,0.0010212329,0.0009219057,0.00029428778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065369518,0.0010473985,0.0010688499,0.005816341,0.0031722635,0.011279275,0.0029122862,0.0050001773,0.007936203],"category_scores_gemma":[0.010833175,0.0012851739,0.0023887134,0.008168011,0.004483972,0.018796884,0.0063276174,0.0061775283,0.006543662],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039558654,0.000053559055,0.0003417509,0.00034624612,0.000029893088,0.0003103557,0.0014827375,0.0026438325,0.0021017639,0.88907224,0.03434045,0.06923766],"study_design_scores_gemma":[0.000019581572,0.000035799836,0.00030525547,0.00055554265,0.00004132102,0.00063497474,0.00046579403,0.011728732,0.0027615642,0.32740423,0.65597856,0.00006850824],"about_ca_topic_score_codex":0.011096554,"about_ca_topic_score_gemma":0.0077054845,"teacher_disagreement_score":0.011279275,"about_ca_system_score_codex":0.0039550653,"about_ca_system_score_gemma":0.010917471,"threshold_uncertainty_score":0.03457111},"labels":[],"label_agreement":null},{"id":"W4211013020","doi":"10.1007/978-3-319-14122-0_17","title":"Parallel OWL Reasoning: Merge Classification","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ontology language; Merge (version control); Web Ontology Language; Speedup; Description logic; Ontology; Benchmark (surveying); Semantic Web; Artificial intelligence; Theoretical computer science; Programming language; Information retrieval; Parallel computing","score_opus":0.029379036458399694,"score_gpt":0.25996907751577714,"score_spread":0.23059004105737743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211013020","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00707229,0.00048169968,0.9614271,0.00055903883,0.00025509592,0.00023431299,0.00096339424,0.010750075,0.018257005],"genre_scores_gemma":[0.067850836,0.0004308473,0.91178954,0.0004610923,0.00011199777,0.00016613494,0.004900316,0.0017381371,0.012551018],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996772,0.0005519513,0.0002847522,0.0007544157,0.0013706017,0.00026626044],"domain_scores_gemma":[0.99687505,0.0009583931,0.00010374888,0.0013816715,0.000578101,0.000102954844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003382539,0.00142722,0.0013017954,0.0026182625,0.0015740463,0.005106905,0.005225085,0.0016750857,0.023489779],"category_scores_gemma":[0.0074828365,0.0015162202,0.0030713156,0.003354056,0.001416359,0.011783105,0.0061676963,0.0031092982,0.007906413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048050267,0.00053363125,0.0012302574,0.0004396022,0.00021003955,0.00029941564,0.00045497224,0.013818616,0.006498939,0.100642465,0.05364019,0.82175136],"study_design_scores_gemma":[0.00017197608,0.00005625013,0.0006861615,0.00016158276,0.0002803978,0.00042723748,0.00037097483,0.30660605,0.029559124,0.5674151,0.094191074,0.00007408932],"about_ca_topic_score_codex":0.008194697,"about_ca_topic_score_gemma":0.012316078,"teacher_disagreement_score":0.023489779,"about_ca_system_score_codex":0.0017986044,"about_ca_system_score_gemma":0.0027753145,"threshold_uncertainty_score":0.078581095},"labels":[],"label_agreement":null},{"id":"W4211045182","doi":"10.1142/s1793351x07000081","title":"GUEST EDITOR'S INTRODUCTION","year":2007,"lang":"en","type":"article","venue":"International Journal of Semantic Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ping (video games); Computer science; Download; World Wide Web; Information retrieval; Library science; Multimedia; Computer security","score_opus":0.00949564057819452,"score_gpt":0.2784036438468258,"score_spread":0.2689080032686313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211045182","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012335026,0.002075833,0.00020344331,0.029316701,0.9633934,0.000019939891,0.000079353194,0.00006781305,0.0047202986],"genre_scores_gemma":[0.002541263,0.0034671354,0.00040993904,0.042445783,0.8648234,0.000054590448,0.00014321704,0.000121032215,0.0859937],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795294,0.00025760193,0.00022717316,0.00038226537,0.00088763016,0.0002923969],"domain_scores_gemma":[0.98753893,0.0019884044,0.0008094277,0.0005794317,0.006421446,0.0026623083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031260487,0.0014439587,0.0013158413,0.0021134596,0.0016734161,0.0041865893,0.0020577044,0.0064876145,0.07859202],"category_scores_gemma":[0.015764957,0.0005595427,0.0015174507,0.00077860703,0.00076088373,0.0020376833,0.0017599368,0.006672732,0.03412173],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044054428,0.0000124608705,0.00007910462,0.00014442523,0.000009153707,0.00022616342,0.000009078211,0.000023178663,0.00011997092,0.00033461818,0.98701316,0.011984732],"study_design_scores_gemma":[0.000028802155,0.0000333142,0.00041070656,0.0001447466,0.00002323946,0.0004078734,0.000028688473,0.0000780073,0.00020459044,0.0004676516,0.998159,0.000013273102],"about_ca_topic_score_codex":0.0006693476,"about_ca_topic_score_gemma":0.0017165436,"teacher_disagreement_score":0.07859202,"about_ca_system_score_codex":0.0011129508,"about_ca_system_score_gemma":0.0017981449,"threshold_uncertainty_score":0.2629165},"labels":[],"label_agreement":null},{"id":"W4211111750","doi":"10.1515/9783110308464","title":"Theories of Informetrics and Scholarly Communication","year":2016,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Institutes of Health; Alfred P. Sloan Foundation","keywords":"Informetrics; Scholarly communication; Computer science; Library science; Bibliometrics; Art; Literature","score_opus":0.017441050394780642,"score_gpt":0.23894400267808855,"score_spread":0.2215029522833079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211111750","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032351974,0.08337762,0.15256304,0.06541908,0.00401196,0.00025391622,0.0005653323,0.00043714,0.6901367],"genre_scores_gemma":[0.26933533,0.25950146,0.2563312,0.019984348,0.012768147,0.0023559688,0.0018532588,0.0008250742,0.17704521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9864776,0.006915622,0.0006898702,0.0008598758,0.004667606,0.00038955486],"domain_scores_gemma":[0.96539515,0.028017044,0.0012305452,0.002579406,0.0022878842,0.00048993895],"candidate_categories":["bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0118742725,0.0016478176,0.0013924357,0.01730165,0.0045368983,0.02173592,0.0022899234,0.0056626652,0.010027553],"category_scores_gemma":[0.027676493,0.00089392974,0.0011214927,0.021789148,0.03467962,0.0349814,0.005331298,0.0062118066,0.0053031095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017388413,0.0000041773746,0.0000830963,0.00012784443,0.0000062485356,0.00002301938,0.00083303044,0.00015233067,0.000014605519,0.9806849,0.005976111,0.0120928865],"study_design_scores_gemma":[0.0000035569449,0.000003884413,0.000116422765,0.0003804557,0.000005301056,0.00010648836,0.00068979326,0.00047420664,0.000049265716,0.8924155,0.10574576,0.000009239503],"about_ca_topic_score_codex":0.0026707165,"about_ca_topic_score_gemma":0.0023862228,"teacher_disagreement_score":0.9826983,"about_ca_system_score_codex":0.009346159,"about_ca_system_score_gemma":0.007113406,"threshold_uncertainty_score":0.06781143},"labels":[],"label_agreement":null},{"id":"W4212903681","doi":"10.32920/ryerson.14637291","title":"A Logic of Actions Revisited","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Unification; Operator (biology); Predicate (mathematical logic); Predicate logic; Circumscription; Mathematics; Projection (relational algebra); Computer science; Theoretical computer science; Artificial intelligence; First-order logic; Logical connective; Algorithm; Discrete mathematics; Description logic; Programming language","score_opus":0.08374297507620436,"score_gpt":0.318304550147114,"score_spread":0.23456157507090963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212903681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030951824,0.0024842527,0.83243215,0.013498684,0.00048827648,0.00011659354,0.0007299178,0.0012390551,0.118059136],"genre_scores_gemma":[0.738865,0.0016050958,0.21963793,0.0038357368,0.00046537872,0.00026469323,0.00078382227,0.00034337232,0.034198955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970812,0.0010565997,0.00020152502,0.0006936117,0.0006994355,0.00026770748],"domain_scores_gemma":[0.99844676,0.0007450446,0.00011411984,0.000290172,0.00029733838,0.00010660609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002738245,0.00059237675,0.0004920604,0.0012882125,0.0015855454,0.004336866,0.0013332138,0.0016474514,0.0057836864],"category_scores_gemma":[0.0032502396,0.00045084066,0.001632457,0.0013398157,0.0069409315,0.010568534,0.0031491076,0.003985852,0.0009278105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009198765,0.0000035602116,0.000055286942,0.0000145505155,0.0000034232016,0.000050521085,0.00017994505,0.0004984424,0.00021652237,0.9952715,0.00069885247,0.0029982491],"study_design_scores_gemma":[0.00001169319,0.00000934069,0.00006345881,0.000019281422,0.000011535378,0.00007680157,0.00014263805,0.007461361,0.00058779004,0.9739947,0.017612323,0.000009183974],"about_ca_topic_score_codex":0.0062735667,"about_ca_topic_score_gemma":0.0029947332,"teacher_disagreement_score":0.0062735667,"about_ca_system_score_codex":0.0032587969,"about_ca_system_score_gemma":0.002425702,"threshold_uncertainty_score":0.023644328},"labels":[],"label_agreement":null},{"id":"W4213246264","doi":"10.1016/j.jcss.2010.04.009","title":"Foundations of Semantic Web databases","year":2010,"lang":"en","type":"article","venue":"Journal of Computer and System Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; RDF query language; RDF; Query language; SPARQL; RDF Schema; Semantic Web; Containment (computer programming); RDF/XML; Information retrieval; Logical consequence; Query optimization; Database; Web query classification; Programming language; Web search query; Artificial intelligence","score_opus":0.03716863265475034,"score_gpt":0.2944975212328642,"score_spread":0.25732888857811387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213246264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009990916,0.02078734,0.87285554,0.014868742,0.0010016373,0.00019460097,0.0009239708,0.0008064817,0.078570746],"genre_scores_gemma":[0.38805822,0.033640906,0.5456569,0.004256942,0.0042240517,0.0006459564,0.0029455493,0.00038017114,0.02019122],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99345654,0.0018114386,0.00093894236,0.0010452386,0.0024194948,0.0003283721],"domain_scores_gemma":[0.99054784,0.0050217714,0.0004681129,0.0023230854,0.0012702763,0.00036885653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006015097,0.00076945976,0.0015356877,0.0059968387,0.002967773,0.015195647,0.0032106205,0.0032084193,0.0063864626],"category_scores_gemma":[0.012839356,0.0017737985,0.001692541,0.008864591,0.0069310525,0.023336116,0.0059419563,0.0056214808,0.0020459625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000784095,0.000018330966,0.00008459122,0.000065238666,0.000013730031,0.00003951978,0.0001312065,0.0006734177,0.000090185764,0.9862432,0.001442272,0.011190518],"study_design_scores_gemma":[0.0000058655255,0.000003738923,0.00004662709,0.00005835622,0.000011572712,0.000055428998,0.00005398984,0.0038077415,0.000138808,0.975086,0.02072576,0.0000061555247],"about_ca_topic_score_codex":0.003519573,"about_ca_topic_score_gemma":0.0021293033,"teacher_disagreement_score":0.015195647,"about_ca_system_score_codex":0.0029978356,"about_ca_system_score_gemma":0.00355564,"threshold_uncertainty_score":0.031811237},"labels":[],"label_agreement":null},{"id":"W4213365501","doi":"10.32920/ryerson.14637291.v1","title":"A Logic of Actions Revisited","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Unification; Operator (biology); Predicate (mathematical logic); Predicate logic; Circumscription; Mathematics; Projection (relational algebra); Computer science; Theoretical computer science; Artificial intelligence; Algorithm; Description logic; Programming language","score_opus":0.08374297507620436,"score_gpt":0.318304550147114,"score_spread":0.23456157507090963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213365501","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030951824,0.0024842527,0.83243215,0.013498684,0.00048827648,0.00011659354,0.0007299178,0.0012390551,0.118059136],"genre_scores_gemma":[0.738865,0.0016050958,0.21963793,0.0038357368,0.00046537872,0.00026469323,0.00078382227,0.00034337232,0.034198955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970812,0.0010565997,0.00020152502,0.0006936117,0.0006994355,0.00026770748],"domain_scores_gemma":[0.99844676,0.0007450446,0.00011411984,0.000290172,0.00029733838,0.00010660609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002738245,0.00059237675,0.0004920604,0.0012882125,0.0015855454,0.004336866,0.0013332138,0.0016474514,0.0057836864],"category_scores_gemma":[0.0032502396,0.00045084066,0.001632457,0.0013398157,0.0069409315,0.010568534,0.0031491076,0.003985852,0.0009278105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009198765,0.0000035602116,0.000055286942,0.0000145505155,0.0000034232016,0.000050521085,0.00017994505,0.0004984424,0.00021652237,0.9952715,0.00069885247,0.0029982491],"study_design_scores_gemma":[0.00001169319,0.00000934069,0.00006345881,0.000019281422,0.000011535378,0.00007680157,0.00014263805,0.007461361,0.00058779004,0.9739947,0.017612323,0.000009183974],"about_ca_topic_score_codex":0.0062735667,"about_ca_topic_score_gemma":0.0029947332,"teacher_disagreement_score":0.0062735667,"about_ca_system_score_codex":0.0032587969,"about_ca_system_score_gemma":0.002425702,"threshold_uncertainty_score":0.023644328},"labels":[],"label_agreement":null},{"id":"W4220911603","doi":"10.29173/cais1287","title":"Extracting knowledge for intermediary expert systems: the selection of search keys","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Expert system; Information retrieval; World Wide Web; Knowledge management; Artificial intelligence","score_opus":0.04218074434026486,"score_gpt":0.28574698388208286,"score_spread":0.243566239541818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220911603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047224563,0.005731791,0.83502483,0.004704633,0.0009438506,0.0017614827,0.024495082,0.021067487,0.05904623],"genre_scores_gemma":[0.23629004,0.00419351,0.6965499,0.00072520704,0.00023798147,0.0006909169,0.028543953,0.0040773707,0.028691197],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978835,0.00055820495,0.00032166357,0.00032307932,0.00069233286,0.0002212166],"domain_scores_gemma":[0.9873469,0.0086395005,0.00029712621,0.0010746005,0.0023455792,0.00029630814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033204658,0.0009265715,0.001328176,0.0069788448,0.0015369436,0.005817745,0.0021186671,0.001898816,0.039086916],"category_scores_gemma":[0.029379642,0.0007087583,0.0011124802,0.0053851246,0.0004716008,0.0115073025,0.0032072724,0.0010891167,0.018485334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007168375,0.00013881139,0.0037009802,0.0014387319,0.000085505344,0.0009199523,0.0009139264,0.0036262018,0.01369447,0.026318433,0.13128056,0.8171656],"study_design_scores_gemma":[0.0004277352,0.00046289092,0.011297642,0.002837447,0.000833245,0.0036208357,0.0048555657,0.1850684,0.16521445,0.118515015,0.50646156,0.0004051315],"about_ca_topic_score_codex":0.0027033507,"about_ca_topic_score_gemma":0.0044717686,"teacher_disagreement_score":0.039086916,"about_ca_system_score_codex":0.0011832329,"about_ca_system_score_gemma":0.0027214265,"threshold_uncertainty_score":0.13075876},"labels":[],"label_agreement":null},{"id":"W4220927966","doi":"10.29173/cais1285","title":"Automatic text searching for information retrieval","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Search engine indexing; Information retrieval; Automatic indexing; Identifier; Concept search; Term (time); Search engine; Full text search; Text retrieval; Web search query","score_opus":0.023734043393941286,"score_gpt":0.25272650170560756,"score_spread":0.22899245831166629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220927966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011458223,0.42388234,0.42947364,0.010004591,0.006526463,0.0015417458,0.0023396695,0.006623363,0.108149976],"genre_scores_gemma":[0.09076527,0.1312091,0.7033751,0.0039335536,0.002239485,0.001009402,0.0061051496,0.0009151645,0.060447853],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99313086,0.003177194,0.0007131874,0.00043930425,0.0023045738,0.00023490784],"domain_scores_gemma":[0.99162185,0.0043893536,0.0006574518,0.0011836311,0.0019910985,0.00015662039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044374606,0.00089491747,0.001086821,0.007247412,0.0015492936,0.0049508745,0.002140506,0.001866504,0.022856664],"category_scores_gemma":[0.012807822,0.0003286062,0.0010238722,0.007098263,0.0019174244,0.007278441,0.0019202909,0.0011660707,0.014556583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015628706,0.000105881525,0.0006654472,0.007280973,0.00011654856,0.00035842735,0.0003272453,0.0015763404,0.010278742,0.09321214,0.06842688,0.817495],"study_design_scores_gemma":[0.00004442035,0.0002072893,0.001907469,0.002765177,0.00015212673,0.002483024,0.0005654819,0.008022003,0.008759914,0.08757375,0.88738984,0.00012935155],"about_ca_topic_score_codex":0.0027813218,"about_ca_topic_score_gemma":0.0031827863,"teacher_disagreement_score":0.022856664,"about_ca_system_score_codex":0.002148886,"about_ca_system_score_gemma":0.0028336558,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4225748966","doi":"10.5281/zenodo.5795449","title":"Access representation ontology developed for project's cohorts D3.5","year":2021,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"European Commission","keywords":"Ontology; Representation (politics); Computer science; World Wide Web; Information retrieval; Political science; Epistemology; Philosophy","score_opus":0.19817293635638752,"score_gpt":0.3741895567243367,"score_spread":0.17601662036794916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225748966","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006933765,0.0004029007,0.7392498,0.0033942934,0.0006209708,0.0020126258,0.16188602,0.02708306,0.05841651],"genre_scores_gemma":[0.032006674,0.00080957054,0.5505044,0.0014157245,0.00011819303,0.0025794187,0.3810386,0.006125953,0.025401432],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99597365,0.0007338653,0.0006498422,0.00081072486,0.0015405407,0.00029148764],"domain_scores_gemma":[0.99556667,0.00094459864,0.00025094312,0.0013764673,0.0014656393,0.00039576678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006377981,0.0008787622,0.00072515156,0.004431129,0.0015206003,0.003598323,0.0019461662,0.0015225693,0.015947616],"category_scores_gemma":[0.010627554,0.00077401305,0.0023890757,0.0035340453,0.0008090213,0.0045700255,0.004883853,0.0028353704,0.009593976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038270577,0.00030910812,0.00947028,0.0017009593,0.00020215452,0.00059896463,0.0018484141,0.006227472,0.009492951,0.38062242,0.39349288,0.1956517],"study_design_scores_gemma":[0.00003825578,0.000030172756,0.0024669762,0.00024350375,0.00005403343,0.00037833516,0.00027494872,0.0077009946,0.0035082973,0.033324484,0.95193,0.000049925307],"about_ca_topic_score_codex":0.039363757,"about_ca_topic_score_gemma":0.03377482,"teacher_disagreement_score":0.039363757,"about_ca_system_score_codex":0.0030407435,"about_ca_system_score_gemma":0.012643943,"threshold_uncertainty_score":0.07826924},"labels":[],"label_agreement":null},{"id":"W4225828609","doi":"10.1007/978-3-030-98876-0_11","title":"KG-Visual: A Tool for Visualizing RDF Knowledge Graphs","year":2022,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"SPARQL; RDF; Computer science; RDF Schema; Visualization; Information retrieval; Simple Knowledge Organization System; JavaScript; Linked data; Zoom; Semantic Web; Named graph; Cwm; Python (programming language); World Wide Web; Data mining; Programming language","score_opus":0.062317874764127514,"score_gpt":0.35119905284797676,"score_spread":0.2888811780838492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225828609","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020904979,0.0008887564,0.7900352,0.00059454987,0.00023054772,0.00028340457,0.02535561,0.1457983,0.034723163],"genre_scores_gemma":[0.030237837,0.0031161748,0.8331766,0.00064228557,0.00007326598,0.00051948853,0.065697245,0.034740213,0.031796854],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994838,0.00009570678,0.00007467875,0.00008820563,0.00021783271,0.00003977643],"domain_scores_gemma":[0.99873024,0.0006722274,0.00006540269,0.0002564903,0.00019508308,0.00008054402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011726527,0.0017092892,0.00092228915,0.005413166,0.00088538637,0.0050917948,0.0019411285,0.0015646316,0.045004986],"category_scores_gemma":[0.004079953,0.0011798767,0.0013999483,0.005256273,0.0006666607,0.006066198,0.003098991,0.0020646222,0.015619766],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021678823,0.00015790039,0.0010049728,0.0024632937,0.00014735099,0.0007844327,0.0015172996,0.012259194,0.008297531,0.13375816,0.39609382,0.44329926],"study_design_scores_gemma":[0.000089760826,0.000020131372,0.0005276332,0.000609096,0.000074896765,0.0007564832,0.00041182555,0.047867477,0.01012394,0.10440315,0.8350098,0.00010579971],"about_ca_topic_score_codex":0.008789672,"about_ca_topic_score_gemma":0.015349139,"teacher_disagreement_score":0.045004986,"about_ca_system_score_codex":0.0010045493,"about_ca_system_score_gemma":0.0016616716,"threshold_uncertainty_score":0.15055668},"labels":[],"label_agreement":null},{"id":"W4229504699","doi":"10.1002/bult.2006.1720320501","title":"From the editor's desktop","year":2007,"lang":"en","type":"article","venue":"Bulletin of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"World Wide Web; Computer science; Metadata; Process (computing); Focus (optics); Library science","score_opus":0.008292561369401343,"score_gpt":0.24686305839710432,"score_spread":0.23857049702770297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229504699","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000058508747,0.0051669925,0.00026203002,0.022944944,0.94899553,0.000040319956,0.00021593297,0.000338432,0.021977294],"genre_scores_gemma":[0.0009147117,0.011798934,0.0007310981,0.042703226,0.6998382,0.00011189706,0.0006392309,0.0005297725,0.24273302],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962232,0.00036699726,0.00044146104,0.0005936422,0.0020937086,0.00028093666],"domain_scores_gemma":[0.9842175,0.002574379,0.00084847386,0.0010231055,0.008234651,0.0031018753],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00346699,0.0022424017,0.0020741276,0.002989267,0.0020400942,0.011645006,0.00358434,0.0060078204,0.29989746],"category_scores_gemma":[0.022212794,0.00093663525,0.0013639611,0.0024265007,0.0012466362,0.007591411,0.0030422297,0.0073246164,0.23461932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000090057165,0.0000071831605,0.000012634883,0.000103491446,0.0000019319136,0.000021136355,0.000007219973,0.000008418092,0.00003627598,0.00024434744,0.9858456,0.0137026245],"study_design_scores_gemma":[0.000006929224,0.0000089614905,0.00005875075,0.00013647303,0.0000022500658,0.00003206969,0.000015834674,0.000012427165,0.000024301453,0.0002066063,0.99949086,0.000004483389],"about_ca_topic_score_codex":0.00092081924,"about_ca_topic_score_gemma":0.0019886116,"teacher_disagreement_score":0.29989746,"about_ca_system_score_codex":0.0014292594,"about_ca_system_score_gemma":0.0034494135,"threshold_uncertainty_score":0.99861133},"labels":[],"label_agreement":null},{"id":"W4230053919","doi":"10.1007/978-1-4939-7131-2_100574","title":"Knowledge Engineering","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.028251315008999852,"score_gpt":0.23403843273862257,"score_spread":0.20578711772962271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230053919","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00094505755,0.014700385,0.098859526,0.0045732586,0.001595711,0.00008794496,0.0003242522,0.00062077114,0.8782931],"genre_scores_gemma":[0.040982798,0.033683363,0.066244245,0.0025714682,0.0014353131,0.00018992389,0.0018581604,0.0005627377,0.85247207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991689,0.00013703149,0.000052023635,0.00016466297,0.0004233695,0.000054101904],"domain_scores_gemma":[0.99941766,0.00017679007,0.00001885239,0.00019483105,0.0001569413,0.000034982557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079646194,0.00084626203,0.0005777929,0.0026675758,0.0011341916,0.0051959595,0.0013899708,0.0014002937,0.041607864],"category_scores_gemma":[0.0021263275,0.00039606288,0.00057545357,0.0028147898,0.0019994294,0.006687942,0.002593143,0.0018422498,0.025650967],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075340113,0.000037746653,0.00005809002,0.00031902414,0.000011996256,0.000057986297,0.00023649824,0.00084674056,0.0005219459,0.5316172,0.11773797,0.34854716],"study_design_scores_gemma":[0.0000018205324,0.000003862228,0.00006753382,0.00018989,0.000004804787,0.00010033198,0.00008369343,0.00083934143,0.0005418442,0.25516587,0.74299484,0.000006164199],"about_ca_topic_score_codex":0.001991281,"about_ca_topic_score_gemma":0.0021308893,"teacher_disagreement_score":0.041607864,"about_ca_system_score_codex":0.0021426822,"about_ca_system_score_gemma":0.0020365452,"threshold_uncertainty_score":0.13919216},"labels":[],"label_agreement":null},{"id":"W4230108130","doi":"10.1007/978-3-662-56291-8_9","title":"Conclusions and Future Work","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Health care; Work (physics); Computer science; Engineering ethics; Management science; Medicine; Engineering management; Engineering; Political science; Mechanical engineering","score_opus":0.04726520827449507,"score_gpt":0.2485919517137031,"score_spread":0.20132674343920803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230108130","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011111936,0.06790556,0.07947958,0.22033511,0.03337818,0.000926768,0.0065872427,0.0044693993,0.5758063],"genre_scores_gemma":[0.12516679,0.093382716,0.1497217,0.05842763,0.010408488,0.0011571832,0.020257164,0.0021335373,0.53934485],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99430496,0.0015551734,0.00029713998,0.0011341616,0.0019806547,0.0007278611],"domain_scores_gemma":[0.9834637,0.0029806986,0.00034349153,0.0021145237,0.009200016,0.0018975141],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010812495,0.0011297319,0.00096937834,0.0031786044,0.0039909948,0.015970314,0.0035856836,0.0030668292,0.14219326],"category_scores_gemma":[0.021056943,0.00043753625,0.0015263212,0.0040132254,0.0022968496,0.017076368,0.0038173525,0.0034193713,0.06606151],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043202468,0.00037740666,0.0024851635,0.0023924827,0.00005644768,0.00023796476,0.0017416972,0.0013784189,0.0019257535,0.14722489,0.33640492,0.5053428],"study_design_scores_gemma":[0.000061609615,0.00008853072,0.0008767894,0.0017165755,0.00007974968,0.00020946658,0.0044611776,0.001880553,0.0017697965,0.10934851,0.87946063,0.000046606077],"about_ca_topic_score_codex":0.0137458965,"about_ca_topic_score_gemma":0.012661194,"teacher_disagreement_score":0.85780674,"about_ca_system_score_codex":0.0049505667,"about_ca_system_score_gemma":0.009682714,"threshold_uncertainty_score":0.4756838},"labels":[],"label_agreement":null},{"id":"W4230162364","doi":"10.1007/978-1-4614-6170-8_100749","title":"Interaction Network","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.02696670422990928,"score_gpt":0.24163600404655658,"score_spread":0.21466929981664729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230162364","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009277844,0.0010131742,0.5190585,0.0018611371,0.0004556917,0.00037034194,0.004663365,0.0033334016,0.45996648],"genre_scores_gemma":[0.25482017,0.0035685075,0.21242845,0.0010618225,0.0004204581,0.0012332855,0.016883025,0.0012935201,0.50829077],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904877,0.00018363561,0.000041375442,0.00030968525,0.0003183028,0.000098254066],"domain_scores_gemma":[0.99922013,0.0002578466,0.00004804287,0.0002029149,0.00020258041,0.00006849623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005167301,0.0007413462,0.0004042009,0.0025887042,0.0015420744,0.002614107,0.0013200514,0.0011342413,0.07317591],"category_scores_gemma":[0.0023487636,0.0003645718,0.00065333216,0.002768142,0.00079331355,0.004755322,0.0023883372,0.0012519426,0.023165375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001098599,0.00008228322,0.0007777795,0.00023184725,0.000040682058,0.00035199465,0.0003083743,0.005597914,0.0043202084,0.7128373,0.080365896,0.19497593],"study_design_scores_gemma":[0.000019965406,0.000041772826,0.0008341867,0.00010811224,0.000049343835,0.00075265166,0.00028574804,0.038683333,0.0045368243,0.4219894,0.53266585,0.000032771735],"about_ca_topic_score_codex":0.0025382494,"about_ca_topic_score_gemma":0.002440253,"teacher_disagreement_score":0.07317591,"about_ca_system_score_codex":0.0010213602,"about_ca_system_score_gemma":0.0009427844,"threshold_uncertainty_score":0.24479783},"labels":[],"label_agreement":null},{"id":"W4230204930","doi":"10.4018/9781605661728.ch002.ch000","title":"A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Ontology; Semantic Web; Computer science; Domain (mathematical analysis); OWL-S; Information retrieval; Semantic analytics; Semantic Web Stack; World Wide Web; Mathematics; Philosophy; Epistemology","score_opus":0.05843971178974517,"score_gpt":0.25917134482869986,"score_spread":0.2007316330389547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230204930","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019570515,0.0005428256,0.9668326,0.0022029402,0.00032334297,0.00039916846,0.0009929099,0.0016333449,0.025115792],"genre_scores_gemma":[0.040689092,0.0020450049,0.9405159,0.001135307,0.0002175839,0.0008997083,0.0033109642,0.0008814333,0.01030499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99586785,0.0009424843,0.0007685293,0.00063020264,0.0015707958,0.00022021588],"domain_scores_gemma":[0.9967043,0.0011242351,0.0002638894,0.000857575,0.0008516153,0.00019846077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053709936,0.0010085078,0.0009885154,0.005316324,0.0028457579,0.0062141884,0.0025402168,0.0026416767,0.003959185],"category_scores_gemma":[0.0077371523,0.0008908228,0.0025291473,0.007034811,0.0036577345,0.015750736,0.0041389517,0.0055792457,0.0020111613],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010251059,0.00004280809,0.00040924878,0.00018979724,0.000022973429,0.0001960388,0.0008065382,0.002442684,0.0012992566,0.94148415,0.009851145,0.043245003],"study_design_scores_gemma":[0.00001205662,0.000013464081,0.00066137005,0.00035132252,0.00003618647,0.0005275538,0.000623319,0.025315803,0.0019381364,0.47528344,0.4951788,0.000058608977],"about_ca_topic_score_codex":0.011769842,"about_ca_topic_score_gemma":0.011510889,"teacher_disagreement_score":0.011769842,"about_ca_system_score_codex":0.0031656208,"about_ca_system_score_gemma":0.006278087,"threshold_uncertainty_score":0.028404832},"labels":[],"label_agreement":null},{"id":"W4230438226","doi":"10.1177/0361198106198400115","title":"Ontological Modeling of Infrastructure Products and Related Concepts","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Interoperability; Computer science; Consistency (knowledge bases); Process ontology; Upper ontology; Knowledge management; Ontology-based data integration; Domain (mathematical analysis); Data science; Software engineering; World Wide Web; Domain knowledge","score_opus":0.06487665249063557,"score_gpt":0.36109841806674176,"score_spread":0.2962217655761062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230438226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02501124,0.00067207374,0.9110002,0.0015841953,0.00011011449,0.00030036966,0.0015586428,0.00049424305,0.059268937],"genre_scores_gemma":[0.33039668,0.0023776689,0.64453185,0.0003306222,0.00009187774,0.00068286335,0.0046192976,0.00020079908,0.01676838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99813724,0.00050582184,0.00022550175,0.00021818289,0.0007535592,0.00015974847],"domain_scores_gemma":[0.99850285,0.00055820716,0.0001818281,0.00036540852,0.00030763054,0.00008414436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022846218,0.0005665268,0.00043698063,0.0044909124,0.0016248635,0.0049339803,0.0018244906,0.0012693845,0.002098861],"category_scores_gemma":[0.0036102918,0.0005165982,0.0017949295,0.0044222395,0.0021844015,0.007793195,0.0021075879,0.0015094897,0.0006373437],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001426505,0.00004962987,0.00088367675,0.00010982468,0.00003060233,0.00043997122,0.0018160735,0.01613865,0.0011173703,0.95021796,0.0021232741,0.027058773],"study_design_scores_gemma":[0.0000250678,0.000037069753,0.0016870792,0.00033788208,0.00013343248,0.00071583723,0.0027628199,0.1580515,0.0023300094,0.60465777,0.2292082,0.000053412274],"about_ca_topic_score_codex":0.02011898,"about_ca_topic_score_gemma":0.018253393,"teacher_disagreement_score":0.02011898,"about_ca_system_score_codex":0.002374565,"about_ca_system_score_gemma":0.003015735,"threshold_uncertainty_score":0.040003777},"labels":[],"label_agreement":null},{"id":"W4230712329","doi":"10.1007/978-1-4939-7131-2_101043","title":"Semantic Networks","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.023066314809532768,"score_gpt":0.22795799941508102,"score_spread":0.20489168460554824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230712329","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002637086,0.010363867,0.30242515,0.005622991,0.0021034689,0.00010600247,0.0011963068,0.0011737143,0.6743714],"genre_scores_gemma":[0.12026853,0.036537558,0.18942106,0.0023703387,0.0020456759,0.00044223893,0.0067840037,0.0011422265,0.6409884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995478,0.000097248354,0.00002703535,0.00013002388,0.0001699623,0.000028007176],"domain_scores_gemma":[0.99966455,0.00013178907,0.000016822265,0.000090923306,0.00007579732,0.000020148327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005236479,0.00090736855,0.00044618838,0.002006756,0.0009553227,0.003289657,0.00088668143,0.0010781612,0.035274774],"category_scores_gemma":[0.0020780682,0.0003849796,0.0005160046,0.0025879927,0.0012206306,0.007831049,0.0019781177,0.00149526,0.015227162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010280199,0.000013155901,0.000054405344,0.000130406,0.000010253567,0.000035396184,0.000088408015,0.0016700462,0.00036711525,0.83726674,0.04015141,0.12020236],"study_design_scores_gemma":[0.0000021450892,0.0000035807705,0.000049710827,0.00009533785,0.000008503717,0.00009239809,0.000052013198,0.0031038679,0.0005132882,0.58030295,0.41577065,0.000005460252],"about_ca_topic_score_codex":0.0011959033,"about_ca_topic_score_gemma":0.0013695961,"teacher_disagreement_score":0.035274774,"about_ca_system_score_codex":0.0013969258,"about_ca_system_score_gemma":0.0009527675,"threshold_uncertainty_score":0.11800587},"labels":[],"label_agreement":null},{"id":"W4230920021","doi":"10.1007/978-1-4939-7131-2_100141","title":"Commonsense Reasoning","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Commonsense reasoning; Cognitive science; Computer science; Artificial intelligence; Psychology","score_opus":0.031086094583222028,"score_gpt":0.24395366693970644,"score_spread":0.2128675723564844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230920021","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002269957,0.009438916,0.23747629,0.0043440736,0.0012607095,0.00008461449,0.0006638441,0.0013174276,0.74314415],"genre_scores_gemma":[0.19062099,0.017660145,0.22091714,0.003243295,0.0025858874,0.000264336,0.0061093066,0.0014964769,0.5571024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99887305,0.0002276901,0.00007181052,0.00023690345,0.0005157317,0.000074816904],"domain_scores_gemma":[0.9991346,0.00043038267,0.000026885284,0.00023469127,0.00013713333,0.000036344372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010218584,0.0010709036,0.00079097546,0.002900069,0.0017115909,0.0053352383,0.0022435724,0.001672407,0.042931635],"category_scores_gemma":[0.0031559723,0.00055755104,0.001228848,0.0025955688,0.002961436,0.0095831575,0.0036223633,0.0027994544,0.013886033],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001545285,0.0000370632,0.000044406584,0.00017206631,0.000014768614,0.000059432776,0.0001712602,0.00095859193,0.00038393386,0.8286692,0.051551457,0.11792244],"study_design_scores_gemma":[0.0000034399895,0.0000024685849,0.000048241112,0.00013172517,0.000008312355,0.00009412421,0.000053892196,0.0024706786,0.00066749216,0.8032236,0.19328864,0.0000072735525],"about_ca_topic_score_codex":0.0014403523,"about_ca_topic_score_gemma":0.0023103962,"teacher_disagreement_score":0.042931635,"about_ca_system_score_codex":0.0020179516,"about_ca_system_score_gemma":0.0011879281,"threshold_uncertainty_score":0.14362067},"labels":[],"label_agreement":null},{"id":"W4231163559","doi":"10.1007/978-1-4419-1428-6_1760","title":"Ontology of Learning Objects Repository for Knowledge Sharing","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Ontology; Computer science; Knowledge sharing; World Wide Web; Knowledge management; Information retrieval; Data science; Epistemology; Philosophy","score_opus":0.04441009070286775,"score_gpt":0.2659500967459175,"score_spread":0.22154000604304977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231163559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068095257,0.011178771,0.8147504,0.0038202747,0.0010609917,0.00032966086,0.0013996505,0.0020817216,0.1585691],"genre_scores_gemma":[0.111829415,0.021100093,0.7271456,0.001318425,0.0005686391,0.00064630347,0.008925369,0.0010756095,0.12739053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988914,0.0002052103,0.00016658788,0.00015809148,0.00049861515,0.00008008554],"domain_scores_gemma":[0.99945277,0.00013531158,0.000031007632,0.00021372609,0.00011996187,0.000047255435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013563114,0.0004647709,0.0007295436,0.0029320174,0.0015060517,0.0048602098,0.002241762,0.0013868271,0.0048914785],"category_scores_gemma":[0.0019088273,0.0004489798,0.0010960172,0.0050166943,0.0016416282,0.010404033,0.0034970054,0.002156478,0.002475671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001339944,0.000045400022,0.00018041728,0.0002879024,0.000021194757,0.0001366546,0.00067960133,0.0014097696,0.0014577208,0.83915854,0.01896471,0.13764465],"study_design_scores_gemma":[0.000007502055,0.0000126186815,0.00036564574,0.00035611977,0.000038883216,0.0006299039,0.00039947726,0.008826466,0.0022369868,0.45795473,0.5291382,0.000033463275],"about_ca_topic_score_codex":0.0041337837,"about_ca_topic_score_gemma":0.004799424,"teacher_disagreement_score":0.0048914785,"about_ca_system_score_codex":0.002126367,"about_ca_system_score_gemma":0.0030476712,"threshold_uncertainty_score":0.01636362},"labels":[],"label_agreement":null},{"id":"W4231450750","doi":"10.1002/tox.22479","title":"ISSUE INFORMATION ‐ TOC","year":2018,"lang":"en","type":"paratext","venue":"Environmental Toxicology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library science","score_opus":0.009130611659918823,"score_gpt":0.23554544578150605,"score_spread":0.22641483412158722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231450750","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00062277925,0.00063041464,0.0021550837,0.004554231,0.010219879,0.00019386303,0.020374993,0.0048461785,0.9564026],"genre_scores_gemma":[0.0015181014,0.0004331421,0.00039427317,0.00076752296,0.0007091086,0.000041297473,0.008923764,0.001064157,0.9861486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885523,0.00014693999,0.00007038904,0.00017059957,0.0006039893,0.00015288027],"domain_scores_gemma":[0.99620605,0.00071195245,0.00015615109,0.00097004743,0.0012521804,0.0007036398],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014712533,0.0013969025,0.001366322,0.0053375065,0.0019878594,0.012477649,0.0020275118,0.0033082454,0.8804368],"category_scores_gemma":[0.0070693465,0.0006494196,0.0009013781,0.0055998336,0.00093300483,0.0058216373,0.0027764218,0.0021128764,0.81299424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026165608,0.00004663452,0.00009300067,0.00009740597,0.00000392655,0.000024863444,0.000016723485,0.000048287424,0.00018494086,0.0024778289,0.96003926,0.036940895],"study_design_scores_gemma":[0.000008275097,0.000009650591,0.00020359903,0.000045451532,0.0000026194216,0.000018141685,0.000027038666,0.00015418447,0.00018717967,0.0013497226,0.99798906,0.0000050942417],"about_ca_topic_score_codex":0.004708987,"about_ca_topic_score_gemma":0.0071377824,"teacher_disagreement_score":0.11956322,"about_ca_system_score_codex":0.0017898362,"about_ca_system_score_gemma":0.0027297088,"threshold_uncertainty_score":0.17054236},"labels":[],"label_agreement":null},{"id":"W4231668596","doi":"10.21203/rs.3.rs-555786/v1","title":"The LRA Workbench: An IDE for Efficient REST API Composition through Linked Metadata","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; University of Alberta","funders":"","keywords":"Workbench; Rest (music); Metadata; Composition (language); Computer science; World Wide Web; Operating system; Programming language; Database; Art; Data mining; Literature","score_opus":0.1957443827484096,"score_gpt":0.4425945937207665,"score_spread":0.24685021097235688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231668596","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035757478,0.00014972602,0.78919435,0.00015542416,0.00014536019,0.00032751582,0.0010552637,0.19982487,0.0055716727],"genre_scores_gemma":[0.10343444,0.00062913034,0.71414787,0.0010226958,0.00024106716,0.0015960592,0.011587672,0.1353035,0.03203755],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99695814,0.0007631133,0.0003630373,0.0005862588,0.0009674212,0.0003620316],"domain_scores_gemma":[0.9940462,0.0025491312,0.00027028137,0.002150765,0.00054233725,0.00044124346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067120763,0.0026754618,0.0020244217,0.0028168315,0.0016706017,0.0071546007,0.0043228325,0.002040236,0.023127338],"category_scores_gemma":[0.011104588,0.0029893564,0.003274794,0.0011723305,0.0016247939,0.008049253,0.006647826,0.005966242,0.018307732],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033900144,0.0017380649,0.0070151747,0.0014573556,0.0009249788,0.0017482805,0.0026126043,0.013022436,0.09432591,0.10292638,0.20402542,0.5668134],"study_design_scores_gemma":[0.0012158871,0.00040628933,0.002270134,0.00061628275,0.00042579975,0.0011025615,0.0005456069,0.39984953,0.19635177,0.07738896,0.31925523,0.0005719408],"about_ca_topic_score_codex":0.003059262,"about_ca_topic_score_gemma":0.0036484648,"teacher_disagreement_score":0.023127338,"about_ca_system_score_codex":0.0011978272,"about_ca_system_score_gemma":0.0023088632,"threshold_uncertainty_score":0.07736868},"labels":[],"label_agreement":null},{"id":"W4231888906","doi":"10.1109/wsc.2004.1371388","title":"Exploring Agent-Supported Simulation Brokering on the Semantic Web: Foundations for a Dynamic Composability Approach","year":2005,"lang":"en","type":"article","venue":"Proceedings of the 2004 Winter Simulation Conference, 2004.","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Composability; Interoperability; Computer science; Interoperation; Rotation formalisms in three dimensions; Reuse; Software engineering; Semantic Web; Web service; Semantic interoperability; World Wide Web; Extensibility; Distributed computing; Engineering; Programming language","score_opus":0.12971149649879446,"score_gpt":0.30668096183148563,"score_spread":0.17696946533269117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231888906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013408433,0.00065046083,0.9568559,0.005308532,0.00008693198,0.00008335773,0.000037577294,0.00033662742,0.02323219],"genre_scores_gemma":[0.47041494,0.0015868029,0.52141136,0.0005800474,0.0001633612,0.00029160507,0.00019200152,0.00017374492,0.0051861326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99749607,0.0012012736,0.00018781945,0.0002757131,0.0005967803,0.00024232735],"domain_scores_gemma":[0.9965664,0.0018877286,0.00019477888,0.0007120348,0.00034149992,0.0002974576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067156726,0.0005127486,0.0008555949,0.0015866628,0.002152319,0.0068083797,0.0025516052,0.0027814065,0.0027245122],"category_scores_gemma":[0.0073698987,0.0009628604,0.0014817049,0.0013902177,0.006184359,0.013365243,0.0047078766,0.0036537657,0.00058635167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012053528,0.000022711076,0.00012632296,0.000022379516,0.000014121276,0.00009074205,0.00025900072,0.017945634,0.0002935366,0.9758999,0.00029846843,0.0050151744],"study_design_scores_gemma":[0.000012190729,0.00000542113,0.000034928336,0.00002360223,0.0000090407375,0.000025386202,0.0001106295,0.11040486,0.00038277902,0.88293785,0.0060446807,0.000008602874],"about_ca_topic_score_codex":0.004789502,"about_ca_topic_score_gemma":0.0039997706,"teacher_disagreement_score":0.0068083797,"about_ca_system_score_codex":0.0027792486,"about_ca_system_score_gemma":0.0033853145,"threshold_uncertainty_score":0.035516262},"labels":[],"label_agreement":null},{"id":"W4232499490","doi":"10.4324/9780203416082-41","title":"Semantic cobblestones","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Natural language processing","score_opus":0.02534125864904513,"score_gpt":0.23354368429193925,"score_spread":0.20820242564289412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232499490","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032065078,0.00912106,0.16687474,0.0067263367,0.0019997805,0.00012087285,0.00032212416,0.00083899824,0.8107896],"genre_scores_gemma":[0.16051881,0.016544225,0.18783183,0.0033142634,0.001238771,0.00046581565,0.0016884528,0.0011484994,0.62724936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99907756,0.00025601027,0.00006439158,0.00024094543,0.0002813136,0.0000797037],"domain_scores_gemma":[0.99935967,0.00021162938,0.000023639366,0.00020735685,0.00011588661,0.00008179029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000951551,0.0010074803,0.0005668795,0.0027760114,0.002479551,0.0069204364,0.0012362913,0.0020161662,0.031482227],"category_scores_gemma":[0.0020091648,0.00046678397,0.0008630045,0.0028582718,0.006336336,0.014532525,0.0040100627,0.002592181,0.008811051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006402427,0.000005267849,0.000022040786,0.00004400003,0.000002769652,0.000032919223,0.00030026265,0.00013202445,0.00012241841,0.9752381,0.008265249,0.015828542],"study_design_scores_gemma":[0.000003600599,0.0000045275906,0.000032788532,0.00008340346,0.0000032889736,0.00013880726,0.00022060257,0.0006543485,0.00025586452,0.55714476,0.4414529,0.0000050731037],"about_ca_topic_score_codex":0.001977249,"about_ca_topic_score_gemma":0.0031627887,"teacher_disagreement_score":0.031482227,"about_ca_system_score_codex":0.0031237523,"about_ca_system_score_gemma":0.0016441788,"threshold_uncertainty_score":0.10531855},"labels":[],"label_agreement":null},{"id":"W4232580145","doi":"10.1145/2505515.2505817","title":"PIKM 2013","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Work (physics); Data science; Range (aeronautics); Information retrieval","score_opus":0.012533674430156422,"score_gpt":0.2113533283317782,"score_spread":0.19881965390162176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232580145","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043990207,0.010856797,0.03908559,0.055808283,0.057954833,0.0010422267,0.025668127,0.015856802,0.7893282],"genre_scores_gemma":[0.0126526,0.0060733203,0.018291164,0.00662483,0.0045182547,0.00059621874,0.033490103,0.0043117823,0.9134419],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99662054,0.0005744262,0.00015277235,0.0004658127,0.0016633847,0.0005230076],"domain_scores_gemma":[0.99486583,0.00030902805,0.00015410632,0.00050168677,0.0020947896,0.0020746423],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0063269637,0.00090912095,0.00092086225,0.002025053,0.0023909006,0.008990092,0.00294022,0.0030271858,0.24683842],"category_scores_gemma":[0.008524657,0.000556104,0.0011233798,0.0015868087,0.0007855491,0.0041180644,0.00536309,0.0033544512,0.26509687],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006746617,0.000049249604,0.00011230392,0.000097465134,0.0000051431757,0.00005961903,0.000047933747,0.00011787164,0.0004781215,0.0040818257,0.9523153,0.042567875],"study_design_scores_gemma":[0.000008021001,0.0000115465855,0.0002599663,0.00007046244,0.0000025306997,0.000037424426,0.00004348768,0.00014490655,0.00026977804,0.0012388949,0.9979049,0.0000079761185],"about_ca_topic_score_codex":0.006358477,"about_ca_topic_score_gemma":0.014502394,"teacher_disagreement_score":0.75316155,"about_ca_system_score_codex":0.0036558008,"about_ca_system_score_gemma":0.0071197096,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4232734578","doi":"10.1007/978-1-4614-6170-8_100764","title":"Semantic Networks","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Natural language processing","score_opus":0.017856534741652285,"score_gpt":0.21442835221756554,"score_spread":0.19657181747591326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232734578","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002640279,0.009262071,0.33438304,0.005134056,0.0016733155,0.00010639716,0.001131222,0.0011309588,0.6445387],"genre_scores_gemma":[0.123581685,0.033188988,0.20803943,0.002192765,0.0017329191,0.00045061944,0.0063640988,0.0010953974,0.62335414],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995535,0.00009771682,0.000027191865,0.00012655485,0.00016793172,0.00002718756],"domain_scores_gemma":[0.9996823,0.00012696792,0.000016318925,0.00008512826,0.00007092486,0.000018339342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051062356,0.0008902424,0.00045103193,0.001975208,0.0009478425,0.0031665163,0.0008835298,0.0010621111,0.033332475],"category_scores_gemma":[0.0019648073,0.0003929639,0.00050959736,0.0024885554,0.0012362406,0.0077071073,0.001940326,0.0014347156,0.013573783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009654736,0.0000121409275,0.000054538516,0.000117114294,0.000009987073,0.000034960616,0.000088515466,0.001771207,0.0003408804,0.8426029,0.03596445,0.118993655],"study_design_scores_gemma":[0.000002109863,0.0000034058594,0.000048916598,0.00008980816,0.000008352943,0.00009281455,0.000053665226,0.003437227,0.000521394,0.62335104,0.3723857,0.00000554557],"about_ca_topic_score_codex":0.0012775954,"about_ca_topic_score_gemma":0.0014848561,"teacher_disagreement_score":0.033332475,"about_ca_system_score_codex":0.0013730465,"about_ca_system_score_gemma":0.0009203136,"threshold_uncertainty_score":0.11150819},"labels":[],"label_agreement":null},{"id":"W4232931718","doi":"10.1007/978-1-4939-7131-2_101047","title":"Semantic Web","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Semantic Web; Computer science; World Wide Web","score_opus":0.027323879152527594,"score_gpt":0.2366581863114072,"score_spread":0.2093343071588796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232931718","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00090931007,0.017383596,0.0962418,0.0046503535,0.0034194952,0.000112930065,0.0011996302,0.0019065894,0.8741762],"genre_scores_gemma":[0.019451464,0.039750297,0.058460128,0.003691905,0.001990043,0.00021745189,0.0065494147,0.0016566605,0.86823267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993592,0.000093216266,0.00004039154,0.00010215206,0.00036233116,0.000042764335],"domain_scores_gemma":[0.99972564,0.00007787436,0.0000102464655,0.00008491019,0.00007593131,0.000025345233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060089334,0.0011584195,0.000651429,0.003392439,0.00111732,0.0055086236,0.0010856745,0.0014710411,0.053990897],"category_scores_gemma":[0.0013598586,0.0004974334,0.00068479334,0.004771392,0.0013717401,0.010698975,0.0032607133,0.0020880161,0.038406607],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014634092,0.00003943924,0.000056647918,0.00037354123,0.000016421258,0.000079244965,0.00021337107,0.0005542966,0.0010334249,0.4824324,0.24109416,0.27409244],"study_design_scores_gemma":[0.0000018228526,0.0000019717406,0.000034291472,0.00012387475,0.0000040996115,0.00008933755,0.000042075495,0.000355537,0.00031622828,0.09226218,0.9067644,0.000004265297],"about_ca_topic_score_codex":0.0014669619,"about_ca_topic_score_gemma":0.0018519475,"teacher_disagreement_score":0.053990897,"about_ca_system_score_codex":0.0013879606,"about_ca_system_score_gemma":0.0016572848,"threshold_uncertainty_score":0.18061757},"labels":[],"label_agreement":null},{"id":"W4233141685","doi":"10.1007/978-1-4614-6170-8_100054","title":"Text Networks","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.017910256903821867,"score_gpt":0.2128649535940865,"score_spread":0.19495469669026463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233141685","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00562189,0.0072536585,0.50214165,0.007062582,0.0015530185,0.000293113,0.006114091,0.004608805,0.4653512],"genre_scores_gemma":[0.11523529,0.014207591,0.2014566,0.0019467399,0.0016988658,0.0006707147,0.017269807,0.001999789,0.6455146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934834,0.00012577597,0.00004273973,0.00022505694,0.00022021259,0.000037952104],"domain_scores_gemma":[0.9989064,0.0005337042,0.00006482091,0.00022801387,0.00021252925,0.000054536136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060570525,0.00082672265,0.000447684,0.003013644,0.0010797468,0.0032895147,0.0011112044,0.0010792331,0.068581186],"category_scores_gemma":[0.0044465326,0.00042088583,0.0005332309,0.0037743447,0.0008456426,0.00855505,0.0018539758,0.0012238596,0.031365722],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049214916,0.000044101325,0.00022567339,0.0003352591,0.00002660192,0.000117364325,0.00018296776,0.0046254243,0.0018932658,0.43548235,0.12513058,0.43188715],"study_design_scores_gemma":[0.0000074731943,0.000011073415,0.00021152839,0.00015484102,0.000022735652,0.00022518219,0.000103401944,0.018300653,0.0027781187,0.3942434,0.5839276,0.000014038122],"about_ca_topic_score_codex":0.0013034939,"about_ca_topic_score_gemma":0.0014719014,"teacher_disagreement_score":0.068581186,"about_ca_system_score_codex":0.0010038902,"about_ca_system_score_gemma":0.0006847937,"threshold_uncertainty_score":0.22942692},"labels":[],"label_agreement":null},{"id":"W4233143715","doi":"10.1007/978-1-4939-7131-2_100330","title":"Emergent Semantics","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.033209645732018504,"score_gpt":0.24369071532510495,"score_spread":0.21048106959308643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233143715","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004731011,0.0025304533,0.12178144,0.004650061,0.0011173665,0.00006769796,0.0003321219,0.00044177595,0.8643482],"genre_scores_gemma":[0.34782416,0.008919813,0.08425872,0.0025328489,0.0018843414,0.00046163768,0.0020947722,0.0011778958,0.5508458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996044,0.000094847,0.000022555438,0.000081388236,0.00016019457,0.00003671248],"domain_scores_gemma":[0.99961734,0.00012844276,0.00001805145,0.00011963394,0.00008532381,0.00003122782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005073246,0.000597484,0.00042489596,0.0012001203,0.0011431712,0.003420844,0.0006948112,0.000864317,0.02079841],"category_scores_gemma":[0.0014872057,0.00025565422,0.0005131016,0.0008736673,0.003467784,0.0062610162,0.0021112394,0.0020260997,0.0062242914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022498123,0.0000033094486,0.000013775844,0.00002282283,0.0000017377677,0.000010078383,0.000096074786,0.000117196454,0.000115678726,0.9842465,0.0065449304,0.008825571],"study_design_scores_gemma":[0.0000017456198,0.0000018042566,0.000026268322,0.000022254635,0.000002026467,0.000037824364,0.00007104085,0.0005760246,0.0002225849,0.9103533,0.08868253,0.000002474207],"about_ca_topic_score_codex":0.00068981264,"about_ca_topic_score_gemma":0.0010410472,"teacher_disagreement_score":0.02079841,"about_ca_system_score_codex":0.0018750097,"about_ca_system_score_gemma":0.0012023929,"threshold_uncertainty_score":0.069577634},"labels":[],"label_agreement":null},{"id":"W4233214650","doi":"10.1111/hdi.12480","title":"ISSUE INFORMATION","year":2017,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Information retrieval; Medicine; Computer science; Internet privacy; World Wide Web","score_opus":0.019545586740041792,"score_gpt":0.28903587943779696,"score_spread":0.26949029269775515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233214650","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031450982,0.0013246196,0.0014091684,0.0031367608,0.011586303,0.00038610437,0.033381935,0.0021445334,0.946316],"genre_scores_gemma":[0.001216621,0.0012646859,0.0008160004,0.0011997621,0.0018234573,0.00015769408,0.017905047,0.0006850138,0.9749316],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882036,0.00013940825,0.00010723832,0.00021220656,0.00059575,0.00012496916],"domain_scores_gemma":[0.9965425,0.0004774525,0.00020933163,0.0004688938,0.0013817721,0.0009200856],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013257078,0.0013987161,0.001422575,0.0071383673,0.0014072325,0.008347505,0.0016587488,0.002203822,0.89097905],"category_scores_gemma":[0.0072936714,0.00052290724,0.0008506711,0.0062036696,0.0005060196,0.0042280788,0.002578129,0.0017424554,0.8301869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015021448,0.000026636326,0.00006912595,0.00016640102,0.0000019106662,0.000017171695,0.00001287922,0.000025569992,0.00011104133,0.0020869295,0.95299166,0.044475812],"study_design_scores_gemma":[0.000007914604,0.000007602506,0.0001703043,0.00007458365,0.000002004483,0.000017958742,0.000020768335,0.000040628238,0.000063774285,0.0010887164,0.9985025,0.0000033184838],"about_ca_topic_score_codex":0.00175657,"about_ca_topic_score_gemma":0.0029584612,"teacher_disagreement_score":0.10902095,"about_ca_system_score_codex":0.0011744798,"about_ca_system_score_gemma":0.0031113902,"threshold_uncertainty_score":0.15550506},"labels":[],"label_agreement":null},{"id":"W4233380317","doi":"10.1002/inst.12035","title":"ISSUE INFORMATION–TOC","year":2016,"lang":"en","type":"paratext","venue":"Insight","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"Graduate School, University of Maryland","keywords":"Citation; Computer science; Information retrieval; World Wide Web","score_opus":0.01507647768276135,"score_gpt":0.2519468521128771,"score_spread":0.23687037443011574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233380317","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001395927,0.0010548508,0.00637027,0.0054963836,0.00821118,0.00017448446,0.007530433,0.0036659,0.9661006],"genre_scores_gemma":[0.014438005,0.0013235072,0.0035429092,0.0020022555,0.0026053165,0.00009565025,0.00772309,0.002451955,0.9658174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976936,0.00032803297,0.00014727694,0.00030260274,0.0012961576,0.00023233597],"domain_scores_gemma":[0.9944078,0.0008503498,0.00032391393,0.0017036987,0.0021037972,0.0006105321],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017542545,0.00086946815,0.0008694677,0.006330997,0.0018331286,0.012100185,0.0011781916,0.0024354279,0.5086466],"category_scores_gemma":[0.011110717,0.0004968347,0.00067850464,0.0073089264,0.00093423814,0.0076392735,0.0025966342,0.0020788328,0.3339147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006485796,0.00004797583,0.00023939468,0.0001439332,0.0000062627055,0.0000669612,0.000093170835,0.000114901384,0.0005444357,0.035111044,0.8583129,0.10525407],"study_design_scores_gemma":[0.000004759234,0.000007051887,0.00020865389,0.000035806563,0.000003980545,0.000047096924,0.00003265826,0.00017117188,0.0002903909,0.005217661,0.9939756,0.0000051593297],"about_ca_topic_score_codex":0.0034026334,"about_ca_topic_score_gemma":0.006002506,"teacher_disagreement_score":0.4913534,"about_ca_system_score_codex":0.0024862872,"about_ca_system_score_gemma":0.0033238444,"threshold_uncertainty_score":0.700856},"labels":[],"label_agreement":null},{"id":"W4233536929","doi":"10.24963/kr.2020","title":"Proceedings of the Seventeenth International Conference on Principles of Knowledge Representation and Reasoning","year":2020,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Vlaamse regering; Natural Sciences and Engineering Research Council of Canada; Fonds Wetenschappelijk Onderzoek; National Natural Science Foundation of China","keywords":"Representation (politics); Computer science; Knowledge representation and reasoning; Cognitive science; Management science; Epistemology; Engineering ethics; Artificial intelligence; Engineering; Political science; Philosophy; Psychology; Law","score_opus":0.07283245020565271,"score_gpt":0.3169416442937339,"score_spread":0.24410919408808118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233536929","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036087846,0.04800473,0.77057123,0.01864122,0.01331531,0.00080503983,0.002198292,0.0028426305,0.14001276],"genre_scores_gemma":[0.058395606,0.04345852,0.6909297,0.008233398,0.006110542,0.0020494265,0.009382534,0.0018810343,0.17955914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938215,0.0023825364,0.0010570243,0.0010962746,0.0013589362,0.00028380592],"domain_scores_gemma":[0.9916397,0.0038072038,0.00028228926,0.0025164369,0.0012510645,0.0005033526],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008724773,0.0018163465,0.003048193,0.0022589497,0.0014878985,0.014056779,0.0045327437,0.0032917655,0.05174788],"category_scores_gemma":[0.014979965,0.0012128472,0.0030955516,0.0031875793,0.005110344,0.01003738,0.0070482977,0.007997329,0.0141009735],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032252376,0.00022926906,0.0009490124,0.001956211,0.0007647683,0.0004894941,0.0010854146,0.0059209936,0.0016918683,0.47961313,0.16258375,0.34439367],"study_design_scores_gemma":[0.000055547498,0.000058095757,0.0004024147,0.00075145153,0.00015700073,0.0002740137,0.00018737756,0.010431763,0.0006093902,0.29564723,0.6913804,0.00004529817],"about_ca_topic_score_codex":0.0062287673,"about_ca_topic_score_gemma":0.005124689,"teacher_disagreement_score":0.94825214,"about_ca_system_score_codex":0.003329658,"about_ca_system_score_gemma":0.0050275116,"threshold_uncertainty_score":0.17311394},"labels":[],"label_agreement":null},{"id":"W4233593121","doi":"10.1007/978-1-4939-7131-2_101284","title":"Subgraph Discovery","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.023049673884538532,"score_gpt":0.22699268660912875,"score_spread":0.2039430127245902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233593121","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048483745,0.005478862,0.7453204,0.0020777525,0.0010001047,0.00044917277,0.00511472,0.008802759,0.22690783],"genre_scores_gemma":[0.056656774,0.010269038,0.7221356,0.0009678537,0.0005834731,0.00035102412,0.02905697,0.0035619715,0.17641735],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991049,0.00012987283,0.00004292926,0.00029079363,0.00037333692,0.000058092814],"domain_scores_gemma":[0.9990054,0.0002486181,0.000032796142,0.00043953882,0.0002229859,0.00005081383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006985828,0.0011862161,0.0009848024,0.004347952,0.0012332464,0.0028016383,0.0020986702,0.0010080875,0.03928664],"category_scores_gemma":[0.002760644,0.00065667223,0.0015184248,0.0055709444,0.0008514471,0.004528546,0.002714135,0.0014715756,0.021573685],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049880884,0.00006972253,0.00042148476,0.00061846577,0.00007654536,0.00014105537,0.00016021544,0.0048115724,0.0037627106,0.20895588,0.1644979,0.61643463],"study_design_scores_gemma":[0.000014036486,0.000021272303,0.00047469704,0.00023150102,0.000078076286,0.00076743326,0.00015607674,0.028962284,0.009767643,0.3304152,0.62907904,0.000032754484],"about_ca_topic_score_codex":0.00300546,"about_ca_topic_score_gemma":0.0061227144,"teacher_disagreement_score":0.03928664,"about_ca_system_score_codex":0.0012555688,"about_ca_system_score_gemma":0.0018108375,"threshold_uncertainty_score":0.13142693},"labels":[],"label_agreement":null},{"id":"W4233871038","doi":"10.4018/9781591409892.ch148","title":"Semantic Web Portals","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; World Wide Web; Semantic Web","score_opus":0.03099795803314484,"score_gpt":0.24328554853649442,"score_spread":0.21228759050334958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233871038","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017454724,0.0138704,0.18127832,0.005757991,0.0021918667,0.0004516724,0.004802229,0.0109538585,0.7789482],"genre_scores_gemma":[0.055451874,0.05192687,0.24581769,0.007041812,0.0021619885,0.0009370194,0.02836225,0.0054395734,0.602861],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984875,0.00038390243,0.00015291978,0.00019479827,0.00063674845,0.00014405914],"domain_scores_gemma":[0.998885,0.00035185902,0.00006208691,0.00029810955,0.00022814602,0.00017488726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014387914,0.0011772913,0.0007763274,0.0052082734,0.0017183217,0.0076698903,0.0019867595,0.0035300562,0.076480314],"category_scores_gemma":[0.0035096686,0.00070533133,0.0011243809,0.009014928,0.0017499061,0.015483457,0.0058401604,0.002995159,0.055961743],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029599598,0.000078303965,0.00015741418,0.0008334059,0.000023370747,0.00037839063,0.00064616423,0.00061787426,0.0011851051,0.6274046,0.18001883,0.18862705],"study_design_scores_gemma":[0.0000049724817,0.0000043971227,0.00004505557,0.00015553908,0.0000037538948,0.00020099306,0.00009325017,0.00033417557,0.00027288665,0.05931204,0.93956655,0.0000063604953],"about_ca_topic_score_codex":0.001181148,"about_ca_topic_score_gemma":0.0016447228,"teacher_disagreement_score":0.076480314,"about_ca_system_score_codex":0.0015706351,"about_ca_system_score_gemma":0.002048591,"threshold_uncertainty_score":0.25585216},"labels":[],"label_agreement":null},{"id":"W4234708422","doi":"10.1007/978-1-4939-7131-2_100577","title":"Knowledge Networks","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.03491811037129783,"score_gpt":0.2545404165932652,"score_spread":0.21962230622196738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234708422","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028468736,0.008083714,0.2750753,0.005150651,0.0011718187,0.00014939129,0.00120169,0.0009710022,0.7053496],"genre_scores_gemma":[0.15743217,0.029067961,0.19485758,0.0021058675,0.0014112389,0.000485803,0.0068143327,0.00064358773,0.6071815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993789,0.00012582338,0.00003975083,0.00019416836,0.0002195619,0.00004170697],"domain_scores_gemma":[0.9993401,0.00027454278,0.000036200872,0.0001747845,0.00013313552,0.00004115976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006152681,0.00075237104,0.00043156443,0.002235279,0.00102871,0.00441699,0.0012539339,0.001168366,0.044082403],"category_scores_gemma":[0.0030462602,0.00037093856,0.00049339945,0.0028723942,0.0011871855,0.0085294265,0.0022931406,0.0013389864,0.016211508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014119942,0.00002263017,0.00009303214,0.00021563249,0.00001868907,0.000076180644,0.00013397369,0.0028612486,0.00042527204,0.7336409,0.04706235,0.21543597],"study_design_scores_gemma":[0.0000031355037,0.000005702544,0.00008725509,0.00015730919,0.000013615086,0.00014467532,0.000090474394,0.006219949,0.0006738803,0.54952174,0.4430744,0.000007774817],"about_ca_topic_score_codex":0.0016225283,"about_ca_topic_score_gemma":0.0015425142,"teacher_disagreement_score":0.044082403,"about_ca_system_score_codex":0.0014922417,"about_ca_system_score_gemma":0.0010733529,"threshold_uncertainty_score":0.14747036},"labels":[],"label_agreement":null},{"id":"W4234911192","doi":"10.3115/v1/w14-20","title":"Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics","year":2014,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Pennsylvania State University; University of Pennsylvania; National Science Foundation","keywords":"Cognitive linguistics; Computer science; Computational linguistics; Cognitive science; Cognition; Linguistics; Natural language processing; Psychology; Philosophy","score_opus":0.034906039950180226,"score_gpt":0.2836436738205594,"score_spread":0.24873763387037917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234911192","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018577365,0.054982673,0.7853803,0.04295641,0.0144572565,0.0003159337,0.0021521817,0.0029980987,0.078179814],"genre_scores_gemma":[0.20121847,0.044411466,0.59230447,0.006865251,0.012185304,0.0015278835,0.009216184,0.0035362106,0.1287348],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964269,0.0020949685,0.00028631874,0.00061894354,0.00040296058,0.00017004869],"domain_scores_gemma":[0.988787,0.007107031,0.00021207822,0.0023354772,0.0009744663,0.0005840032],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008862015,0.0017420208,0.0022448013,0.0017507558,0.0011587391,0.008059784,0.0037709267,0.0032413,0.037164826],"category_scores_gemma":[0.018346999,0.0011149202,0.0031990053,0.0012490245,0.002879929,0.007855781,0.0055250977,0.0063332235,0.007229768],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063803163,0.0005226538,0.0019496146,0.0012192915,0.00082576444,0.00071255944,0.0024983725,0.01604299,0.0031452016,0.23197031,0.28548154,0.4549936],"study_design_scores_gemma":[0.00009272403,0.000111660884,0.0020156323,0.0009323443,0.00022560505,0.00048392985,0.00065072975,0.05445289,0.0019256689,0.3664076,0.572609,0.00009225514],"about_ca_topic_score_codex":0.00536652,"about_ca_topic_score_gemma":0.0059724213,"teacher_disagreement_score":0.9628352,"about_ca_system_score_codex":0.0027165522,"about_ca_system_score_gemma":0.0023833027,"threshold_uncertainty_score":0.12432879},"labels":[],"label_agreement":null},{"id":"W4235256005","doi":"10.1007/978-1-4614-0992-2_4","title":"Document Management","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.028647461999223616,"score_gpt":0.2223455458067745,"score_spread":0.1936980838075509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235256005","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027757273,0.010079928,0.30436835,0.0029538916,0.0017558176,0.0005616655,0.0046326052,0.017941054,0.65493095],"genre_scores_gemma":[0.013637104,0.009050999,0.11236276,0.00087331666,0.0005396123,0.0003011223,0.011401348,0.0027103387,0.8491234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990006,0.00009522189,0.00008587564,0.00021705113,0.00053302385,0.000068179725],"domain_scores_gemma":[0.9988399,0.00019150517,0.000043519543,0.00041160727,0.00043128873,0.00008229986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010582589,0.00092926674,0.0007153207,0.004166165,0.0016034341,0.006240981,0.0019900354,0.0010868841,0.09345547],"category_scores_gemma":[0.0027126626,0.0005891931,0.0007335327,0.0059960852,0.00076333265,0.0056749834,0.0019703873,0.0014511938,0.097298644],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028496897,0.000058631867,0.00013034437,0.0002788974,0.000011205744,0.00005712093,0.00024600278,0.00038689564,0.0044584344,0.053849835,0.22531222,0.71518195],"study_design_scores_gemma":[0.0000052673217,0.000009480754,0.00016613278,0.00010138965,0.000011453468,0.00016946344,0.00006416085,0.0009052779,0.004126904,0.013585082,0.9808429,0.000012482699],"about_ca_topic_score_codex":0.0037582868,"about_ca_topic_score_gemma":0.0033001222,"teacher_disagreement_score":0.09345547,"about_ca_system_score_codex":0.0015651218,"about_ca_system_score_gemma":0.0021554304,"threshold_uncertainty_score":0.31263965},"labels":[],"label_agreement":null},{"id":"W4235274440","doi":"10.1111/hdi.12481","title":"ISSUE INFORMATION","year":2017,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Information retrieval; Computer science; Medicine; Internet privacy; World Wide Web","score_opus":0.019545586740041792,"score_gpt":0.28903587943779696,"score_spread":0.26949029269775515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235274440","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031450982,0.0013246196,0.0014091684,0.0031367608,0.011586303,0.00038610437,0.033381935,0.0021445334,0.946316],"genre_scores_gemma":[0.001216621,0.0012646859,0.0008160004,0.0011997621,0.0018234573,0.00015769408,0.017905047,0.0006850138,0.9749316],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882036,0.00013940825,0.00010723832,0.00021220656,0.00059575,0.00012496916],"domain_scores_gemma":[0.9965425,0.0004774525,0.00020933163,0.0004688938,0.0013817721,0.0009200856],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013257078,0.0013987161,0.001422575,0.0071383673,0.0014072325,0.008347505,0.0016587488,0.002203822,0.89097905],"category_scores_gemma":[0.0072936714,0.00052290724,0.0008506711,0.0062036696,0.0005060196,0.0042280788,0.002578129,0.0017424554,0.8301869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015021448,0.000026636326,0.00006912595,0.00016640102,0.0000019106662,0.000017171695,0.00001287922,0.000025569992,0.00011104133,0.0020869295,0.95299166,0.044475812],"study_design_scores_gemma":[0.000007914604,0.000007602506,0.0001703043,0.00007458365,0.000002004483,0.000017958742,0.000020768335,0.000040628238,0.000063774285,0.0010887164,0.9985025,0.0000033184838],"about_ca_topic_score_codex":0.00175657,"about_ca_topic_score_gemma":0.0029584612,"teacher_disagreement_score":0.10902095,"about_ca_system_score_codex":0.0011744798,"about_ca_system_score_gemma":0.0031113902,"threshold_uncertainty_score":0.15550506},"labels":[],"label_agreement":null},{"id":"W4235327334","doi":"10.1075/bct.12.06har","title":"Distributed processes, distributed cognizers and collaborative cognition","year":2007,"lang":"en","type":"book-chapter","venue":"Benjamins current topics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cognition; Feeling; Cognitive science; Thinking processes; Socially distributed cognition; Process (computing); Turing test; Test (biology); Psychology; Computer science; Cognitive psychology; Social psychology; Artificial intelligence","score_opus":0.04524761204766794,"score_gpt":0.28838450302716373,"score_spread":0.24313689097949578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235327334","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012081404,0.032253496,0.102367155,0.008430199,0.00073056715,0.00008138752,0.00003775559,0.00032692868,0.8436912],"genre_scores_gemma":[0.6414243,0.026427353,0.05604633,0.002358777,0.0019636988,0.00042347927,0.0001452763,0.00027741186,0.27093342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992212,0.00025282666,0.000029250543,0.00017763012,0.00023830004,0.00008072822],"domain_scores_gemma":[0.9992142,0.0004455803,0.000044497094,0.00014402188,0.00007537415,0.000076210286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011328754,0.0007819944,0.00033740475,0.0010633796,0.0012837945,0.0052218568,0.0010486511,0.0017325422,0.0062459214],"category_scores_gemma":[0.0016290561,0.00031327188,0.0004457282,0.0013797435,0.009857188,0.009935068,0.0025348172,0.0026896847,0.0013423868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035322976,0.00000804022,0.000047791553,0.00003794732,0.0000031907541,0.000032791533,0.0011084889,0.00025676528,0.000067804016,0.98484033,0.0027599907,0.010833407],"study_design_scores_gemma":[0.000007315835,0.0000058272326,0.00012555765,0.00003724348,0.0000035616133,0.00007788175,0.0003026143,0.0005941445,0.00008076525,0.93448496,0.064277,0.0000031814002],"about_ca_topic_score_codex":0.001641314,"about_ca_topic_score_gemma":0.0014972714,"teacher_disagreement_score":0.0062459214,"about_ca_system_score_codex":0.0030899092,"about_ca_system_score_gemma":0.0016559386,"threshold_uncertainty_score":0.022418916},"labels":[],"label_agreement":null},{"id":"W4235963863","doi":"10.1142/9789813227927_0002","title":"Methods and resources for computing semantic relatedness","year":2017,"lang":"en","type":"book-chapter","venue":"World Scientific encyclopedia with semantic computing and robotic intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Semantic similarity; Data science; Artificial intelligence","score_opus":0.031295356133491326,"score_gpt":0.3111661469761687,"score_spread":0.27987079084267735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235963863","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016194421,0.0037947695,0.9794567,0.0005627062,0.00020043606,0.00018895225,0.0016289083,0.0016778106,0.010870238],"genre_scores_gemma":[0.02649401,0.00355775,0.95692617,0.0002720123,0.00023624072,0.00074212096,0.004823212,0.000528648,0.0064198733],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9945064,0.0013505247,0.0006212683,0.0010124972,0.0023474903,0.00016180066],"domain_scores_gemma":[0.9932259,0.0035244306,0.00025246825,0.00202353,0.0008092066,0.0001645307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055950508,0.0015469718,0.0018751721,0.01509951,0.0018984916,0.0071772584,0.0041505615,0.0017677754,0.013057007],"category_scores_gemma":[0.021350423,0.00094712625,0.002288442,0.017204108,0.0025649408,0.016266486,0.0052403877,0.00262972,0.0067196526],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006355458,0.000104021114,0.000757534,0.0008542194,0.00018371757,0.00011415608,0.0004889324,0.0052992795,0.001382881,0.48030505,0.022324534,0.48812205],"study_design_scores_gemma":[0.0000140577795,0.000016593616,0.00039072766,0.00027792482,0.000082528444,0.00022352407,0.00028591236,0.035245936,0.0024817542,0.887612,0.07332335,0.00004580954],"about_ca_topic_score_codex":0.0031567044,"about_ca_topic_score_gemma":0.0035670246,"teacher_disagreement_score":0.01509951,"about_ca_system_score_codex":0.0017024105,"about_ca_system_score_gemma":0.0021215999,"threshold_uncertainty_score":0.043680012},"labels":[],"label_agreement":null},{"id":"W4236039300","doi":"10.18653/v1/w18-60","title":"Proceedings of the Second Workshop on Universal Dependencies (UDW 2018)","year":2018,"lang":"sv","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Regione Toscana","keywords":"Computer science; Theoretical computer science","score_opus":0.030491622806248436,"score_gpt":0.25159734326151906,"score_spread":0.22110572045527063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236039300","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022069244,0.01873191,0.63556546,0.05944031,0.039381437,0.0011025616,0.03303468,0.02434178,0.16633268],"genre_scores_gemma":[0.13824274,0.017508866,0.31619236,0.010483672,0.008088102,0.0021696994,0.16583902,0.021959303,0.31951624],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99421424,0.0025376042,0.00046332687,0.0010740379,0.0012838446,0.00042701093],"domain_scores_gemma":[0.9864292,0.0054220655,0.0002707112,0.003795074,0.0028659126,0.0012169736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006679382,0.0012636918,0.001407737,0.0023806887,0.0023561409,0.0059013204,0.0022973192,0.0018890144,0.070293926],"category_scores_gemma":[0.022833023,0.00084920356,0.0012674556,0.0031082428,0.0017262388,0.013371129,0.008341105,0.0059080664,0.025979605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001868095,0.00016879568,0.00041790484,0.00039042532,0.000040778887,0.00014438466,0.0009140643,0.0008376594,0.0014602387,0.05920368,0.7605158,0.17571944],"study_design_scores_gemma":[0.000025589818,0.000022354941,0.00039621172,0.0001839798,0.00002499939,0.00014197388,0.00028254028,0.0025501265,0.0014331252,0.04434972,0.95056695,0.000022389933],"about_ca_topic_score_codex":0.005668204,"about_ca_topic_score_gemma":0.009103902,"teacher_disagreement_score":0.070293926,"about_ca_system_score_codex":0.0030118364,"about_ca_system_score_gemma":0.004004962,"threshold_uncertainty_score":0.23515666},"labels":[],"label_agreement":null},{"id":"W4236246609","doi":"10.1007/978-3-540-79140-9_8","title":"Clarifying the Meta","year":2008,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Domain (mathematical analysis); Meaning (existential); Word (group theory); Prefix; Data science; Order (exchange); Artificial intelligence; Natural language processing; Epistemology; Linguistics; Mathematics","score_opus":0.3404679915039646,"score_gpt":0.38542974538615205,"score_spread":0.04496175388218743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236246609","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011445925,0.010733293,0.28354335,0.05674099,0.0045902594,0.00011769355,0.0004777197,0.000571604,0.63177925],"genre_scores_gemma":[0.5938847,0.009499757,0.21794073,0.017891428,0.004421047,0.0006559894,0.001058462,0.0016248936,0.15302305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959894,0.0018779321,0.0002917136,0.000797865,0.0007967651,0.0002463339],"domain_scores_gemma":[0.9952858,0.0016176379,0.00026658576,0.001922454,0.00075183756,0.00015561338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059501072,0.0009711208,0.0011266024,0.0030156604,0.0038887653,0.010455442,0.0027270606,0.0038939258,0.012739729],"category_scores_gemma":[0.009292424,0.0009803678,0.00096316054,0.0023669177,0.016770748,0.032807242,0.004668261,0.008268528,0.0040716804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031491081,0.0000028691115,0.000021720598,0.00001832686,0.0000018633591,0.000013743973,0.00068335497,0.000023487873,0.00009515647,0.99448675,0.0016970626,0.0029526127],"study_design_scores_gemma":[0.000007615787,0.0000056653666,0.00008953933,0.00012807178,0.000015775251,0.00014359922,0.0006253512,0.00036591373,0.0005247824,0.8824226,0.11566086,0.000010256199],"about_ca_topic_score_codex":0.002066287,"about_ca_topic_score_gemma":0.0029395085,"teacher_disagreement_score":0.012739729,"about_ca_system_score_codex":0.0041491683,"about_ca_system_score_gemma":0.0033261247,"threshold_uncertainty_score":0.042618573},"labels":[],"label_agreement":null},{"id":"W4236266705","doi":"10.32920/ryerson.14654637","title":"Organic chemistry synthesis problem as artificial intelligence planning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Planner; Benchmark (surveying); Computer science; Field (mathematics); Organic synthesis; Artificial intelligence; Chemistry; Organic chemistry; Mathematics; Catalysis","score_opus":0.047731386169232476,"score_gpt":0.2847792280651384,"score_spread":0.23704784189590591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236266705","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02361212,0.0007847419,0.8983458,0.0046936297,0.00023086973,0.0003030266,0.00055064727,0.00050142646,0.070977636],"genre_scores_gemma":[0.28983563,0.0016122885,0.67998004,0.0006129322,0.000116312935,0.00035028497,0.00090335583,0.0001269321,0.026462207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992274,0.00029791496,0.000037534755,0.00016329064,0.00020744927,0.00006632196],"domain_scores_gemma":[0.99923193,0.00056103297,0.000052796102,0.00006435014,0.000054310087,0.000035546705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008040545,0.00064818916,0.00047270727,0.00054989965,0.0008418446,0.001814392,0.0011416672,0.0016899133,0.008131352],"category_scores_gemma":[0.0020762763,0.00033342847,0.0009104039,0.0009008367,0.0018798483,0.0027499853,0.0011663695,0.0016993888,0.0006561883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005758048,0.00006058804,0.00022996835,0.00017718895,0.00002810381,0.00020057718,0.00013998058,0.38016483,0.0012330263,0.5663549,0.0052866773,0.04606667],"study_design_scores_gemma":[0.00006668357,0.00004398017,0.00014597514,0.00006115331,0.000028480239,0.00013760624,0.00021302863,0.4623964,0.0023897334,0.48224714,0.052245498,0.000024320072],"about_ca_topic_score_codex":0.007006343,"about_ca_topic_score_gemma":0.00785796,"teacher_disagreement_score":0.008131352,"about_ca_system_score_codex":0.0020566091,"about_ca_system_score_gemma":0.0028318535,"threshold_uncertainty_score":0.02720207},"labels":[],"label_agreement":null},{"id":"W4236302304","doi":"10.29085/9781783301546.003","title":"Managing linked open data across discovery systems","year":2018,"lang":"en","type":"book-chapter","venue":"Facet eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Linked data; Computer science; Open data; World Wide Web; Data science; Semantic Web; Data publishing; Big data; Context (archaeology); Data discovery; Digital library; Key (lock); Open research; Publishing; Metadata; Geography; Data mining","score_opus":0.1416622528628712,"score_gpt":0.3395393382843943,"score_spread":0.1978770854215231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236302304","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009797027,0.010660013,0.757385,0.011706914,0.0023314196,0.00071997306,0.001079348,0.0071663256,0.19915392],"genre_scores_gemma":[0.13145293,0.024244014,0.6592626,0.0039527505,0.002304133,0.0012229383,0.0080535235,0.0045105186,0.16499658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99056166,0.0022492032,0.00071421976,0.000914766,0.004875263,0.0006849327],"domain_scores_gemma":[0.98944026,0.0036728974,0.0004388171,0.0039281277,0.0018744463,0.0006454335],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010196626,0.00066894933,0.0012004229,0.0057621966,0.005586014,0.019734327,0.0051911953,0.003639402,0.011340786],"category_scores_gemma":[0.0214602,0.001025779,0.0014917118,0.010324555,0.0033791696,0.02770569,0.020013573,0.0035688756,0.0076554315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003668721,0.000064743464,0.0006235479,0.00041829818,0.00006005457,0.00047776595,0.0021659767,0.005371337,0.0009509456,0.70616114,0.0409917,0.2426779],"study_design_scores_gemma":[0.0000170928,0.00002013521,0.00019766268,0.00039888176,0.000034927885,0.0004089361,0.0008183828,0.0134401815,0.0021686135,0.3265191,0.6559194,0.00005676627],"about_ca_topic_score_codex":0.0040526767,"about_ca_topic_score_gemma":0.0036337764,"teacher_disagreement_score":0.9802657,"about_ca_system_score_codex":0.00436596,"about_ca_system_score_gemma":0.006417775,"threshold_uncertainty_score":0.053925574},"labels":[],"label_agreement":null},{"id":"W4236506433","doi":"10.1111/hdi.12478","title":"ISSUE INFORMATION","year":2017,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Internet privacy; Information retrieval; World Wide Web; Computer science","score_opus":0.019545586740041792,"score_gpt":0.28903587943779696,"score_spread":0.26949029269775515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236506433","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014032372,0.20401475,0.0027911363,0.02825077,0.026897362,0.030816847,0.61232644,0.0013813686,0.092118174],"genre_scores_gemma":[0.02013402,0.38700128,0.018404702,0.06573911,0.024394538,0.07913276,0.23070785,0.0013647728,0.17312093],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9840365,0.0037312924,0.007852787,0.0011502377,0.002692775,0.0005363513],"domain_scores_gemma":[0.92901987,0.037451595,0.015168644,0.0022585709,0.014008047,0.0020932339],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.011999993,0.0018681864,0.008200598,0.03320828,0.0011626253,0.0073470334,0.0034279472,0.0045628506,0.53205144],"category_scores_gemma":[0.08787,0.0015301862,0.0060955454,0.021002296,0.0010070954,0.005461113,0.005193533,0.0023567483,0.060048554],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045980272,0.00005383896,0.00046624764,0.55724585,0.00074246764,0.00007713488,0.0001978249,0.00007200211,0.00018353063,0.0023745496,0.3445794,0.09354733],"study_design_scores_gemma":[0.0017812108,0.00016454271,0.0024872366,0.31250358,0.0020057024,0.00013861542,0.00026250508,0.00008159605,0.00013930707,0.0059320573,0.6744338,0.00006983621],"about_ca_topic_score_codex":0.0037779342,"about_ca_topic_score_gemma":0.009165066,"teacher_disagreement_score":0.46794856,"about_ca_system_score_codex":0.0038547155,"about_ca_system_score_gemma":0.014942817,"threshold_uncertainty_score":0.66747177},"labels":[],"label_agreement":null},{"id":"W4236765940","doi":"10.32920/14641956","title":"Mereotopology for product modeling","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Task (project management); Product (mathematics); New product development; Software engineering; Product design; Connection (principal bundle); Systems engineering; Engineering; Mathematics","score_opus":0.07243879870025274,"score_gpt":0.3103933980051861,"score_spread":0.23795459930493337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236765940","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004246635,0.0038910396,0.92503196,0.0031653831,0.00026111546,0.000077017496,0.000277375,0.00037306058,0.06267647],"genre_scores_gemma":[0.32124287,0.010428188,0.62304497,0.0018904173,0.0010348028,0.00061885075,0.0010248456,0.00052623835,0.040188793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990779,0.00034385396,0.00007324969,0.00015451456,0.00030460546,0.000045809997],"domain_scores_gemma":[0.99917334,0.00041099676,0.00009975564,0.00017126382,0.000093088864,0.000051425865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016457504,0.0009409393,0.0006251989,0.0015618273,0.0010523008,0.0032692822,0.0011247371,0.0012945634,0.009465207],"category_scores_gemma":[0.0024838038,0.00057571084,0.0017183578,0.0019893015,0.0042212703,0.006572676,0.002182734,0.0033082913,0.0021814487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038281855,0.0000039039023,0.000038985654,0.000027323727,0.0000034077923,0.00003745886,0.00008473409,0.001378053,0.00012323893,0.99286944,0.0007979595,0.00463179],"study_design_scores_gemma":[0.0000043715963,0.000006123407,0.00004245212,0.00003071342,0.0000045421657,0.000055745557,0.000030154202,0.008518182,0.00016682307,0.9470982,0.0440368,0.0000058890914],"about_ca_topic_score_codex":0.002348376,"about_ca_topic_score_gemma":0.0028542627,"teacher_disagreement_score":0.009465207,"about_ca_system_score_codex":0.002192899,"about_ca_system_score_gemma":0.0015296384,"threshold_uncertainty_score":0.031664312},"labels":[],"label_agreement":null},{"id":"W4236769288","doi":"10.1007/978-1-4614-6170-8_100493","title":"Document Indexing","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Search engine indexing; Computer science; Information retrieval","score_opus":0.01891609944742497,"score_gpt":0.2297123939210534,"score_spread":0.2107962944736284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236769288","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003319333,0.03456677,0.30991697,0.0028790007,0.004614408,0.0008569666,0.01840385,0.023383338,0.60205936],"genre_scores_gemma":[0.022587957,0.041842982,0.23897487,0.0013046882,0.0024400577,0.00053950946,0.059880666,0.0047187717,0.6277106],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989643,0.00008991676,0.00012397052,0.00020304452,0.0005446116,0.00007417507],"domain_scores_gemma":[0.99877304,0.00021122638,0.000056533387,0.00040335968,0.00047550054,0.0000802662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076623034,0.0013312642,0.001432832,0.009349373,0.0014798562,0.0062293666,0.0018268193,0.0009091014,0.109327786],"category_scores_gemma":[0.0029311532,0.0005371709,0.0010017372,0.015044502,0.0008082884,0.0073264637,0.0024699487,0.001257846,0.118123524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031468036,0.00004340842,0.000079043144,0.0005505976,0.000014849644,0.000036388377,0.0000587046,0.00036293818,0.0033650203,0.026809163,0.25409788,0.71455055],"study_design_scores_gemma":[0.000010640667,0.00001716641,0.00023231305,0.00021493682,0.000025474661,0.0003671895,0.00006323466,0.0016216363,0.0050981115,0.027715249,0.9646109,0.000023250133],"about_ca_topic_score_codex":0.0023428558,"about_ca_topic_score_gemma":0.0026175254,"teacher_disagreement_score":0.109327786,"about_ca_system_score_codex":0.0012970361,"about_ca_system_score_gemma":0.0018890469,"threshold_uncertainty_score":0.36573792},"labels":[],"label_agreement":null},{"id":"W4237028571","doi":"10.32920/ryerson.14645331","title":"Adopt: A Context-Aware Domain Ontology-Based Framework for Public Transportation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Domain (mathematical analysis); Computer science; Context (archaeology); Face (sociological concept); Process ontology; Data science; Public domain; Knowledge management; World Wide Web; Domain knowledge; Sociology; Epistemology; Geography; Mathematics","score_opus":0.058507895807188966,"score_gpt":0.29385414551514755,"score_spread":0.2353462497079586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237028571","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027402905,0.00038944598,0.9785235,0.00085233594,0.00016707122,0.00021209804,0.0013441633,0.005895735,0.009875387],"genre_scores_gemma":[0.10213877,0.0015878632,0.8773352,0.00051682733,0.00011843971,0.0005690721,0.0046196254,0.0010595066,0.012054663],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992281,0.00014638294,0.00008318771,0.0001276463,0.0003233746,0.00009134728],"domain_scores_gemma":[0.9997003,0.000055279386,0.000039006492,0.00007754964,0.00006929424,0.000058718804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254015,0.0007751199,0.00075601414,0.0022260426,0.0016213005,0.0042032697,0.0023306587,0.0017205481,0.004265258],"category_scores_gemma":[0.0018248431,0.00067083107,0.0019804114,0.0022079498,0.0013931082,0.00485205,0.004241289,0.00259871,0.0017987527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058006648,0.00011180092,0.001203174,0.00026532027,0.000106924716,0.00057616277,0.0012840967,0.03565135,0.0038412975,0.8488237,0.026206588,0.081871614],"study_design_scores_gemma":[0.000046590692,0.000032440665,0.00072462234,0.00024036906,0.00014618898,0.00051114045,0.0009026292,0.22701362,0.0034705813,0.23915766,0.5276509,0.00010324312],"about_ca_topic_score_codex":0.030521257,"about_ca_topic_score_gemma":0.056552902,"teacher_disagreement_score":0.030521257,"about_ca_system_score_codex":0.002035398,"about_ca_system_score_gemma":0.0035839668,"threshold_uncertainty_score":0.060687184},"labels":[],"label_agreement":null},{"id":"W4237049540","doi":"10.1353/ils.2011.0020","title":"Text mining and information retrieval","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science; Natural language processing; Data science","score_opus":0.013462603545329606,"score_gpt":0.17992631054133798,"score_spread":0.16646370699600838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237049540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02420923,0.17322126,0.67721355,0.028857924,0.003709776,0.00054487423,0.004266865,0.0041976455,0.083778925],"genre_scores_gemma":[0.3045535,0.09386081,0.46084335,0.0040983856,0.00569838,0.0006510572,0.009724637,0.00069028896,0.11987962],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797696,0.0005280777,0.00024352102,0.00027045442,0.0009018502,0.000079045676],"domain_scores_gemma":[0.9960898,0.0023590273,0.00028683592,0.0004267082,0.00075737864,0.00008025114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002234408,0.0006057234,0.0014819885,0.008151324,0.0011885914,0.004521198,0.0011369691,0.0014782337,0.011274138],"category_scores_gemma":[0.008214983,0.0004562402,0.0008990861,0.010593688,0.0020264662,0.008021299,0.0009812345,0.0010663809,0.0064568664],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009665254,0.00016595308,0.0016628586,0.0016921631,0.00015157308,0.00026254926,0.00038139534,0.0035446163,0.0037836635,0.18316196,0.052347075,0.75274956],"study_design_scores_gemma":[0.000040242645,0.00006217853,0.0030771743,0.00047804008,0.00014414938,0.0006181816,0.000549686,0.041810032,0.0064608194,0.6434893,0.30320087,0.00006929091],"about_ca_topic_score_codex":0.005364001,"about_ca_topic_score_gemma":0.0041900957,"teacher_disagreement_score":0.011274138,"about_ca_system_score_codex":0.0015350627,"about_ca_system_score_gemma":0.001963152,"threshold_uncertainty_score":0.037715733},"labels":[],"label_agreement":null},{"id":"W4237299225","doi":"10.1007/978-1-4939-7131-2_101343","title":"Text Networks","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.0234023398805326,"score_gpt":0.22687034044343762,"score_spread":0.20346800056290504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237299225","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056023276,0.007949034,0.4712016,0.007943615,0.002001929,0.00029715794,0.00614366,0.0046906886,0.49416995],"genre_scores_gemma":[0.11349327,0.015517957,0.18805319,0.0021504962,0.0020410675,0.00067042874,0.01737565,0.0020401296,0.6586578],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993129,0.00013089586,0.000044466535,0.00023904006,0.00023180137,0.000040937073],"domain_scores_gemma":[0.99883205,0.0005544126,0.00006790052,0.0002495324,0.00023559644,0.000060533122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006372629,0.00084237213,0.0004452704,0.003037757,0.0010973555,0.0034229076,0.001121287,0.0011298588,0.07124831],"category_scores_gemma":[0.004765913,0.0004141771,0.0005402211,0.003855743,0.00085278647,0.008794978,0.0018986833,0.0013167233,0.0343032],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051472827,0.000046587047,0.00021456995,0.00035777743,0.000026828598,0.00011501478,0.00017629527,0.004335189,0.0020107648,0.44111106,0.13143474,0.4201196],"study_design_scores_gemma":[0.000007435506,0.0000114623845,0.00020159833,0.00015739683,0.000023224427,0.00021670773,0.000097118194,0.01665078,0.0027791536,0.36808342,0.611758,0.00001369144],"about_ca_topic_score_codex":0.001232091,"about_ca_topic_score_gemma":0.0013642885,"teacher_disagreement_score":0.07124831,"about_ca_system_score_codex":0.0010351874,"about_ca_system_score_gemma":0.00073467335,"threshold_uncertainty_score":0.23834932},"labels":[],"label_agreement":null},{"id":"W4237562742","doi":"10.18653/v1/w17-24","title":"Proceedings of TextGraphs-11: the Workshop on Graph-based Methods for Natural Language Processing","year":2017,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Economía y Competitividad; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Euskal Herriko Unibertsitatea; Defense Advanced Research Projects Agency; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Eusko Jaurlaritza; Deutsche Forschungsgemeinschaft; National Science Foundation; TED; University of Lethbridge","keywords":"Computer science; Programming language; Graph; Natural language processing; Artificial intelligence; Theoretical computer science","score_opus":0.04238917238212132,"score_gpt":0.3840267356769968,"score_spread":0.3416375632948755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237562742","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041106464,0.021001462,0.94836926,0.0067769354,0.0029892433,0.00044439605,0.00283615,0.0054562357,0.008015628],"genre_scores_gemma":[0.048665397,0.019152232,0.87776893,0.0025897452,0.0030814142,0.0016084434,0.019135937,0.005032787,0.022965074],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.990087,0.0056906757,0.00060037797,0.0018417044,0.0015502577,0.00022994053],"domain_scores_gemma":[0.9646587,0.02665644,0.000610024,0.0051039266,0.002042641,0.00092820567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0145541355,0.0031232343,0.0037263243,0.0074177594,0.0016416479,0.008876292,0.0052354205,0.0037704078,0.023248702],"category_scores_gemma":[0.030951781,0.0016828018,0.004182945,0.0055988673,0.0028931347,0.012005105,0.0057495325,0.007033755,0.009341075],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031439195,0.0005621572,0.0013779822,0.0019391351,0.0008756256,0.0004216394,0.0013049684,0.027792484,0.002951263,0.09288846,0.18109564,0.68847626],"study_design_scores_gemma":[0.00014245325,0.00011429866,0.0020871847,0.0010529752,0.00021041754,0.00036720053,0.0005039288,0.23272501,0.0029492802,0.39602673,0.36369443,0.00012613866],"about_ca_topic_score_codex":0.005496571,"about_ca_topic_score_gemma":0.0070437635,"teacher_disagreement_score":0.023248702,"about_ca_system_score_codex":0.002993781,"about_ca_system_score_gemma":0.003388234,"threshold_uncertainty_score":0.077774644},"labels":[],"label_agreement":null},{"id":"W4237905683","doi":"10.4018/978-1-60566-894-9.ch002","title":"The Ontological Stance for a Manufacturing Scenario","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Software engineering; Ontology-based data integration; Process ontology; Upper ontology; Terminology; Inference; Semantic integration; Software deployment; Software; Ontology alignment; Process (computing); Programming language; Information retrieval; Artificial intelligence; Semantic Web; Linguistics; Semantic computing","score_opus":0.02577061074547249,"score_gpt":0.25454758216953577,"score_spread":0.22877697142406328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237905683","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076272655,0.0074527976,0.26768377,0.022615135,0.00091069035,0.00007944523,0.00026360116,0.00024246935,0.6931248],"genre_scores_gemma":[0.5208052,0.012881835,0.2976912,0.008516793,0.0008983609,0.00038188533,0.0012617614,0.00029427072,0.1572687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991043,0.00035758794,0.00004881985,0.00013168945,0.00029908007,0.000058485235],"domain_scores_gemma":[0.99965644,0.00017300635,0.000023865963,0.000056617286,0.000053975207,0.0000360907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288237,0.0005585183,0.00031786165,0.0013386385,0.0020241365,0.0039510154,0.0010945534,0.0024018977,0.004927652],"category_scores_gemma":[0.0011226946,0.00030903114,0.0006525621,0.0016285992,0.0058484664,0.0071629374,0.002251334,0.004459878,0.0017990061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015768267,0.000003531582,0.000015808882,0.000015374737,9.449269e-7,0.000037605027,0.00041046907,0.00016025548,0.00013046734,0.9938903,0.001853977,0.0034796882],"study_design_scores_gemma":[0.0000027747376,0.000005475104,0.00008424192,0.00009481216,0.000004754213,0.00016137831,0.0006157986,0.0018171032,0.00021950841,0.7992153,0.19777219,0.000006714017],"about_ca_topic_score_codex":0.0026691419,"about_ca_topic_score_gemma":0.0027565395,"teacher_disagreement_score":0.004927652,"about_ca_system_score_codex":0.0030810314,"about_ca_system_score_gemma":0.0016449145,"threshold_uncertainty_score":0.022354603},"labels":[],"label_agreement":null},{"id":"W4237983330","doi":"10.4018/978-1-59904-941-0.ch046","title":"Semantic Web Services for Healthcare","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Semantic Web; Web service; Social Semantic Web; World Wide Web; Computer science; Ontology; Web standards; Standardization; Health care; Knowledge management","score_opus":0.029297512508412612,"score_gpt":0.26613339870397534,"score_spread":0.23683588619556273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237983330","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001250194,0.13372517,0.16296272,0.023076193,0.007779202,0.00035111932,0.001297194,0.0025100713,0.66704816],"genre_scores_gemma":[0.05714572,0.23562883,0.25105676,0.017259177,0.0049717925,0.0009465523,0.006157175,0.0017624912,0.42507148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99861133,0.00034066537,0.00009856817,0.00013128524,0.0006984542,0.000119699245],"domain_scores_gemma":[0.9996007,0.00015669156,0.000020702022,0.00006769088,0.00010418903,0.000050059567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011656055,0.0014171745,0.000885022,0.0025968887,0.0014392498,0.0055088904,0.0015215897,0.0036589927,0.025001269],"category_scores_gemma":[0.0018163691,0.00044599044,0.0009819196,0.006301468,0.0019184421,0.007011653,0.0039450773,0.0033456741,0.015985502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016627037,0.000033527245,0.000058219208,0.00075251964,0.000025141897,0.00021148587,0.00047901124,0.0016643228,0.0005812953,0.66615504,0.1517517,0.17827109],"study_design_scores_gemma":[0.0000047477174,0.0000037213765,0.00003256982,0.00029897527,0.000003976127,0.00014953982,0.00010179608,0.000793838,0.00010706205,0.15837519,0.8401211,0.000007605507],"about_ca_topic_score_codex":0.0031190517,"about_ca_topic_score_gemma":0.0036316982,"teacher_disagreement_score":0.025001269,"about_ca_system_score_codex":0.002518901,"about_ca_system_score_gemma":0.0031257086,"threshold_uncertainty_score":0.083637536},"labels":[],"label_agreement":null},{"id":"W4238534709","doi":"10.1007/978-1-4939-7131-2_101046","title":"Semantic Social Web","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Social Semantic Web; Computer science; Semantic Web; World Wide Web; Natural language processing; Information retrieval","score_opus":0.032655826507641705,"score_gpt":0.24902036172255304,"score_spread":0.21636453521491134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238534709","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021998673,0.024045443,0.10065827,0.009190202,0.004432699,0.00011880739,0.0010112366,0.0011764383,0.85716707],"genre_scores_gemma":[0.072834164,0.055618774,0.07401906,0.0040911105,0.004094895,0.00038627465,0.0062010502,0.0013455837,0.781409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933654,0.00017128607,0.000039117036,0.00009134133,0.00032000727,0.000041779487],"domain_scores_gemma":[0.9996531,0.00013734812,0.00001506742,0.0000828709,0.000082267085,0.000029473129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000615013,0.00091447646,0.0005400363,0.0031520233,0.0012782308,0.004792419,0.00075962424,0.0013823597,0.025841553],"category_scores_gemma":[0.0016043137,0.00037534823,0.0005099409,0.00470203,0.0017178325,0.010456245,0.0029311602,0.0014997914,0.01539275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008195952,0.000025890342,0.000062512074,0.00026044474,0.000012088622,0.00006854682,0.000309851,0.00045938184,0.00043986872,0.66282696,0.15938698,0.17613916],"study_design_scores_gemma":[0.0000017095521,0.0000021531253,0.00005226365,0.00013378078,0.0000044145486,0.00010761578,0.00011609394,0.0006400604,0.00023023107,0.23106235,0.7676446,0.0000046876157],"about_ca_topic_score_codex":0.0013892184,"about_ca_topic_score_gemma":0.0020255868,"teacher_disagreement_score":0.025841553,"about_ca_system_score_codex":0.0015706022,"about_ca_system_score_gemma":0.0015716905,"threshold_uncertainty_score":0.08644867},"labels":[],"label_agreement":null},{"id":"W4238630476","doi":"10.32920/ryerson.14656047","title":"Using decision trees for inductively driven semantic integration and ontology matching","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Computer science; Ontology alignment; Matching (statistics); Ontology components; Context (archaeology); Upper ontology; Process ontology; Semantics (computer science); Set (abstract data type); Information retrieval; Ontology-based data integration; Web Ontology Language; Semantic Web; Data science; Mathematics; Programming language","score_opus":0.08408063797932097,"score_gpt":0.33634247701827596,"score_spread":0.252261839038955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238630476","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058203484,0.00010617696,0.99213433,0.00011964113,0.000018737772,0.00016030959,0.00008040618,0.00041159228,0.0011483768],"genre_scores_gemma":[0.08524652,0.0001582917,0.9128109,0.00010634573,0.000026175521,0.00023895087,0.0005021446,0.00013425142,0.0007763821],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98938316,0.004589497,0.00086970144,0.0013786139,0.003360375,0.00041859865],"domain_scores_gemma":[0.9832054,0.013340302,0.0007241067,0.00096054596,0.0015873257,0.00018233134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007696051,0.0011352353,0.0013393563,0.0044812737,0.0014541384,0.0034879874,0.0023231194,0.0018228333,0.0025541638],"category_scores_gemma":[0.03198154,0.0008827161,0.002631276,0.00409815,0.0019400718,0.0049246503,0.0033326265,0.0025091206,0.000903851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022256133,0.00034363003,0.003316004,0.00038550107,0.00025620146,0.00033961918,0.00085989473,0.3725754,0.0050728065,0.22221316,0.0029734874,0.39144176],"study_design_scores_gemma":[0.000023688155,0.000039247043,0.00019961517,0.0000492125,0.000043296717,0.00008313767,0.000081336184,0.82768476,0.0038521113,0.16424964,0.0036692487,0.000024727953],"about_ca_topic_score_codex":0.0073852283,"about_ca_topic_score_gemma":0.0074447957,"teacher_disagreement_score":0.007696051,"about_ca_system_score_codex":0.0028597792,"about_ca_system_score_gemma":0.002700349,"threshold_uncertainty_score":0.04070109},"labels":[],"label_agreement":null},{"id":"W4238701096","doi":"10.1111/hdi.12721","title":"ISSUE INFORMATION","year":2018,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Library science; Computer science","score_opus":0.015205571437278423,"score_gpt":0.27427746382126655,"score_spread":0.25907189238398814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238701096","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030895846,0.0012701711,0.001427345,0.003326194,0.012234546,0.00040216369,0.031414535,0.0023307668,0.9472853],"genre_scores_gemma":[0.001176317,0.0011194082,0.0008190648,0.0013254147,0.0018038038,0.00016485712,0.015736291,0.00069124874,0.9771637],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891806,0.00013131404,0.00009920747,0.00020086038,0.00053245417,0.0001181428],"domain_scores_gemma":[0.99657285,0.00048414015,0.00020391868,0.00045913132,0.001346771,0.00093325396],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012850576,0.0014162139,0.001431494,0.0066586286,0.0014129289,0.00795954,0.001696668,0.0022593013,0.90532595],"category_scores_gemma":[0.007272101,0.00052520673,0.0008422615,0.005582842,0.0004863182,0.004013403,0.0025424869,0.0017748583,0.84759784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001567936,0.000028914486,0.000066603054,0.0001683147,0.0000018928082,0.000017254235,0.000012353599,0.000024661305,0.00011321267,0.0017454372,0.9534156,0.04439],"study_design_scores_gemma":[0.000008844195,0.000008250948,0.0001713839,0.000076796656,0.0000020289415,0.000018313962,0.000020991136,0.00004141763,0.00006558038,0.0010298805,0.9985531,0.0000034164364],"about_ca_topic_score_codex":0.0015883491,"about_ca_topic_score_gemma":0.002740994,"teacher_disagreement_score":0.09467405,"about_ca_system_score_codex":0.0010628403,"about_ca_system_score_gemma":0.002804404,"threshold_uncertainty_score":0.13504106},"labels":[],"label_agreement":null},{"id":"W4238911019","doi":"10.1109/ideas.2007.4318106","title":"Semantic Interoperability Between Relational Database Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Semantic interoperability; Ontology; Relational database; Semantics (computer science); Information retrieval; Set (abstract data type); Semantic grid; Semantic computing; Semantic technology; Semantic analytics; Semantic integration; Semantic Web; Interoperability; World Wide Web; Programming language","score_opus":0.05562076257625414,"score_gpt":0.28688660209431016,"score_spread":0.23126583951805602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238911019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010049782,0.002001324,0.9680371,0.002485685,0.00021896587,0.0004228661,0.0007141224,0.0035386786,0.012531458],"genre_scores_gemma":[0.2357401,0.0040514967,0.74595374,0.0019757266,0.00038465692,0.0006662852,0.0045955707,0.0006850989,0.0059473347],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9559396,0.015749613,0.009350601,0.004055813,0.013462708,0.0014416185],"domain_scores_gemma":[0.97715205,0.008578853,0.0013397466,0.009319964,0.0031088104,0.00050068187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03014886,0.0008911441,0.0018183577,0.0051411428,0.0018947113,0.012525909,0.0045526032,0.0026351595,0.0025616626],"category_scores_gemma":[0.036347058,0.0014041555,0.0026815697,0.006147291,0.0034501464,0.023450343,0.009421259,0.0031642788,0.0014791151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016055928,0.00012551442,0.0015390946,0.00048330976,0.00027967797,0.0008628727,0.0023015686,0.013300739,0.004266563,0.8353669,0.006473978,0.13483928],"study_design_scores_gemma":[0.00008259388,0.000067983165,0.000730775,0.00036567336,0.00023243333,0.00055660325,0.0009799715,0.06520594,0.0068133296,0.7766574,0.14820002,0.000107302854],"about_ca_topic_score_codex":0.003699988,"about_ca_topic_score_gemma":0.0021924442,"teacher_disagreement_score":0.03014886,"about_ca_system_score_codex":0.002726311,"about_ca_system_score_gemma":0.003003185,"threshold_uncertainty_score":0.15944433},"labels":[],"label_agreement":null},{"id":"W4239296120","doi":"10.4018/978-1-60566-092-9.ch002","title":"The Social Context of Knowledge","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Tacit knowledge; Knowledge management; Computer science; Social software; Context (archaeology); Situated; Typology; Domain knowledge; Variety (cybernetics); Data science; Personal knowledge management; Collaborative software; Sociology; Artificial intelligence; Organizational learning","score_opus":0.026050201519643577,"score_gpt":0.27250410464551345,"score_spread":0.24645390312586987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239296120","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019604983,0.0333587,0.04245595,0.019561192,0.0007417066,0.00007202777,0.00022345263,0.00013148625,0.88385046],"genre_scores_gemma":[0.8767861,0.030056762,0.023968726,0.0026255862,0.0012091796,0.00018686989,0.00043198172,0.00013228206,0.0646025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99795365,0.0010572721,0.00007854734,0.00033733295,0.00041000382,0.00016328761],"domain_scores_gemma":[0.9986436,0.00074435264,0.000114800845,0.00025399457,0.000117673655,0.0001256681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014238579,0.00043096236,0.00038649738,0.0027076064,0.0033524558,0.010504688,0.0009295129,0.0018693133,0.005359398],"category_scores_gemma":[0.0026870908,0.00029250229,0.000320062,0.0031085396,0.016719129,0.009883746,0.005135022,0.0017826292,0.0010560724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025719576,0.000003281146,0.00009636925,0.000048487225,0.0000040615205,0.00006666529,0.0028177716,0.00017098067,0.00008725678,0.984346,0.002271451,0.010085177],"study_design_scores_gemma":[0.0000036438225,0.000004639907,0.00030607372,0.00018105739,0.000006655398,0.00012874669,0.0024742396,0.00038797426,0.000089948095,0.72856104,0.26784772,0.000008314545],"about_ca_topic_score_codex":0.004469328,"about_ca_topic_score_gemma":0.0038751205,"teacher_disagreement_score":0.010504688,"about_ca_system_score_codex":0.0040097963,"about_ca_system_score_gemma":0.0026364669,"threshold_uncertainty_score":0.029093266},"labels":[],"label_agreement":null},{"id":"W4239353707","doi":"10.1017/cbo9780511794797.016","title":"Retrospect and Prospect","year":2010,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Industrial Revolution; Computation; Transformation (genetics); Geography; Environmental ethics; Computer science; Philosophy; Archaeology; Biology; Algorithm","score_opus":0.016239482370731122,"score_gpt":0.18609465905603081,"score_spread":0.1698551766852997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239353707","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002027853,0.19239886,0.0036704652,0.50050753,0.054968238,0.000014264025,0.0004297253,0.00017997719,0.24580309],"genre_scores_gemma":[0.09105183,0.19221117,0.0040515806,0.2710288,0.060283605,0.00007226199,0.0005814418,0.0006215828,0.38009775],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99840623,0.00057258696,0.000056940542,0.0002987318,0.00055198435,0.00011351551],"domain_scores_gemma":[0.9955903,0.0022637884,0.00018937104,0.0004840089,0.000986395,0.00048614125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002531634,0.00072548987,0.00048650344,0.0015532995,0.0030550736,0.009275004,0.0011158495,0.0038039286,0.023082102],"category_scores_gemma":[0.011721792,0.00028754683,0.00037338195,0.0017146774,0.010632464,0.016763313,0.0027183664,0.0073745083,0.011282328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004111733,0.0000131858915,0.0001508208,0.00021188575,0.000006686524,0.00009758874,0.0009078811,0.00012547514,0.000089208515,0.38059467,0.57668257,0.04107894],"study_design_scores_gemma":[0.000001582561,0.0000038088267,0.000054104956,0.00017058839,9.677914e-7,0.00008876796,0.00036553357,0.000021757156,0.00003028539,0.036986317,0.9622716,0.000004708906],"about_ca_topic_score_codex":0.0031981221,"about_ca_topic_score_gemma":0.005461784,"teacher_disagreement_score":0.023082102,"about_ca_system_score_codex":0.002989723,"about_ca_system_score_gemma":0.0028995394,"threshold_uncertainty_score":0.07721734},"labels":[],"label_agreement":null},{"id":"W4239626273","doi":"10.1007/978-0-387-36795-8_14","title":"Text Mining","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","score_opus":0.06366093109944303,"score_gpt":0.2710396259260241,"score_spread":0.20737869482658106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239626273","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008770286,0.011023692,0.6490896,0.0054348554,0.0021800324,0.0016387592,0.023811743,0.022627722,0.27542326],"genre_scores_gemma":[0.043284576,0.011359908,0.5531475,0.0021418224,0.0013955525,0.0011163547,0.054259837,0.002364006,0.33093056],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988778,0.00013057547,0.00010903957,0.00033683373,0.0004975942,0.000048028887],"domain_scores_gemma":[0.99849105,0.00054163596,0.00008950875,0.0002857007,0.0005384864,0.000053573858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010843808,0.0011841169,0.0008907023,0.0067728297,0.0011424213,0.0029162767,0.0017248014,0.00080581557,0.04484625],"category_scores_gemma":[0.0037978964,0.00045414272,0.0011307482,0.0063492283,0.0005243861,0.0036519885,0.0014339637,0.0010523585,0.055067215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040112274,0.00007440514,0.0004897308,0.00048725939,0.000037791546,0.00010036972,0.000103252554,0.0005529988,0.0049627423,0.014404004,0.11381222,0.86493516],"study_design_scores_gemma":[0.000023302304,0.00005926479,0.0018779901,0.00042615828,0.00010759617,0.0010007182,0.0002441491,0.014067683,0.026161803,0.055133168,0.9008562,0.00004197288],"about_ca_topic_score_codex":0.0011180168,"about_ca_topic_score_gemma":0.0016945121,"teacher_disagreement_score":0.04484625,"about_ca_system_score_codex":0.00058821373,"about_ca_system_score_gemma":0.0013972584,"threshold_uncertainty_score":0.15002573},"labels":[],"label_agreement":null},{"id":"W4239731104","doi":"10.1002/9781118786352.wbieg0894","title":"Interoperability of Representations","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Interoperability; Computer science; Semantics (computer science); Representation (politics); Syntax; Semantic interoperability; Function (biology); Software; Software engineering; Data science; Database; Programming language; World Wide Web; Artificial intelligence","score_opus":0.012379377578279076,"score_gpt":0.2843810852442654,"score_spread":0.27200170766598636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239731104","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012019662,0.003283651,0.78502756,0.0067076418,0.0005707886,0.00043013203,0.0019431404,0.002022781,0.18799464],"genre_scores_gemma":[0.36282122,0.008478856,0.5554936,0.0031444614,0.0007832997,0.0013453255,0.014905163,0.002279797,0.05074825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9809332,0.0076926067,0.0027238044,0.0024035887,0.0051425504,0.0011043699],"domain_scores_gemma":[0.9860576,0.0032765786,0.00056655164,0.008010934,0.0016977312,0.000390605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009801622,0.0010726558,0.0010274173,0.0049116104,0.002310494,0.017454019,0.0038666897,0.0027933312,0.011970062],"category_scores_gemma":[0.027658412,0.0008257055,0.0016642371,0.0058255107,0.0068110465,0.021982018,0.013118024,0.0043269144,0.0049610985],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000141977325,0.000020084934,0.00026374005,0.00008842631,0.000025519192,0.00009460747,0.0011467894,0.0007979055,0.00043007187,0.9558331,0.0033693693,0.037916314],"study_design_scores_gemma":[0.000008204469,0.00001406364,0.0002921736,0.0003078308,0.000030589887,0.00024784534,0.00076071895,0.0030899495,0.0010137619,0.80111176,0.1931028,0.000020315205],"about_ca_topic_score_codex":0.0028861128,"about_ca_topic_score_gemma":0.0013061552,"teacher_disagreement_score":0.017454019,"about_ca_system_score_codex":0.0026893984,"about_ca_system_score_gemma":0.0032323461,"threshold_uncertainty_score":0.05183655},"labels":[],"label_agreement":null},{"id":"W4239903613","doi":"10.32920/ryerson.14640060","title":"A Logic For Decidable Reasoning About Actions","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Situation calculus; Decidability; Axiom; Fragment (logic); Description logic; Computer science; Operator (biology); Projection (relational algebra); Calculus (dental); Natural deduction; Theoretical computer science; Mathematics; Algebra over a field; Artificial intelligence; Algorithm; Programming language; Pure mathematics","score_opus":0.07792155018911166,"score_gpt":0.3298780791020465,"score_spread":0.2519565289129348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239903613","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008086896,0.00054487877,0.97357,0.0014224604,0.00020646749,0.0001613762,0.000467017,0.0013506311,0.014190331],"genre_scores_gemma":[0.24687748,0.0008543143,0.7408573,0.0010850859,0.00042024825,0.00048001384,0.0010511568,0.00027555466,0.008098829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99659806,0.0008779045,0.00036239438,0.0007173828,0.0010191457,0.00042525443],"domain_scores_gemma":[0.9976618,0.0012330837,0.00022340177,0.00039108712,0.00029634367,0.00019425298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033076922,0.0011508343,0.00087727304,0.0018685004,0.0021006055,0.004740655,0.003104535,0.0015262259,0.0048056664],"category_scores_gemma":[0.004537331,0.0011277599,0.0050514354,0.0018672985,0.0046353685,0.008976194,0.0036736797,0.0053148665,0.0012005428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034625646,0.00003457714,0.00013019281,0.00012992341,0.000046057085,0.00026337724,0.0003583105,0.0072617526,0.002181738,0.97496915,0.0015284321,0.013061839],"study_design_scores_gemma":[0.00004176619,0.000031869848,0.00013065353,0.000052055802,0.000078345,0.00021278554,0.00009766106,0.043410376,0.0022227895,0.930544,0.023130136,0.00004749907],"about_ca_topic_score_codex":0.0061484654,"about_ca_topic_score_gemma":0.004101974,"teacher_disagreement_score":0.0061484654,"about_ca_system_score_codex":0.0029015762,"about_ca_system_score_gemma":0.0024255223,"threshold_uncertainty_score":0.02105248},"labels":[],"label_agreement":null},{"id":"W4239952127","doi":"10.32920/ryerson.14641050","title":"The strongest link: libraries and linked data","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Link (geometry); Linked data; Computer science; World Wide Web; Information retrieval; Computer network; Semantic Web","score_opus":0.08090991699656903,"score_gpt":0.2848775912802155,"score_spread":0.20396767428364648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239952127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01604988,0.04284413,0.77125037,0.079022944,0.0041675004,0.00012484982,0.0012073965,0.0021453048,0.0831877],"genre_scores_gemma":[0.45209348,0.057911173,0.37942135,0.014888885,0.016314493,0.0005591021,0.0050370614,0.0028439008,0.07093062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9898364,0.0037605218,0.0006539324,0.0016703169,0.0035812778,0.0004976481],"domain_scores_gemma":[0.95935065,0.025185594,0.002112209,0.0061590644,0.004870687,0.0023218286],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008171178,0.0012717745,0.0022863084,0.009948111,0.006795594,0.020683814,0.0030554992,0.008747969,0.014898761],"category_scores_gemma":[0.055227567,0.0021003885,0.0015952133,0.018102793,0.010108159,0.06794288,0.012797794,0.009643466,0.0041612363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042225754,0.00003978699,0.00064852077,0.0002947879,0.00005492438,0.00013833467,0.0006362044,0.00077425403,0.00017953229,0.9225488,0.028584661,0.046057947],"study_design_scores_gemma":[0.000008544899,0.0000042248184,0.000105282066,0.000116202245,0.00003675478,0.00011130198,0.00014549195,0.001692764,0.00023373781,0.9670215,0.03050614,0.000017933238],"about_ca_topic_score_codex":0.0053758537,"about_ca_topic_score_gemma":0.0047169277,"teacher_disagreement_score":0.9793162,"about_ca_system_score_codex":0.0031820994,"about_ca_system_score_gemma":0.003704765,"threshold_uncertainty_score":0.049841285},"labels":[],"label_agreement":null},{"id":"W4240043950","doi":"10.4018/9781599049335.ch142","title":"Knowledge Extraction and Sharing in External Communities of Practice","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Extraction (chemistry); Geography; Chemistry; Chromatography","score_opus":0.05636521553290389,"score_gpt":0.30185069767303957,"score_spread":0.24548548214013569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240043950","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29223448,0.0019476467,0.5262139,0.004126862,0.00023135539,0.0031508277,0.0011790091,0.0014551367,0.16946085],"genre_scores_gemma":[0.80220807,0.00074289565,0.16832043,0.00039678952,0.00009141724,0.0011051496,0.0016451048,0.00022592803,0.0252642],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9795599,0.010229811,0.0014874517,0.003667145,0.0038861397,0.0011695258],"domain_scores_gemma":[0.962397,0.020718055,0.0035051892,0.0078175785,0.0038834782,0.0016786171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012247683,0.00061581685,0.0009027864,0.009467755,0.0048741754,0.012825482,0.0025449477,0.0030383593,0.009419315],"category_scores_gemma":[0.04817058,0.0006611345,0.0012659325,0.009120418,0.0048390077,0.017935058,0.017164469,0.001387109,0.0022444339],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003870924,0.0007116199,0.029374927,0.0017230443,0.0002471356,0.0031973813,0.15178025,0.0069380207,0.0044212868,0.33251026,0.009728734,0.45898017],"study_design_scores_gemma":[0.00020337164,0.0003225385,0.015229371,0.001657564,0.00022267309,0.0023044224,0.09165669,0.050263446,0.0063126185,0.53364444,0.29801786,0.00016508269],"about_ca_topic_score_codex":0.0035727697,"about_ca_topic_score_gemma":0.0028299463,"teacher_disagreement_score":0.012825482,"about_ca_system_score_codex":0.00328628,"about_ca_system_score_gemma":0.004884694,"threshold_uncertainty_score":0.064772725},"labels":[],"label_agreement":null},{"id":"W4240236477","doi":"10.4018/978-1-60566-026-4.ch249","title":"A Framework for Communicability of Software Documentation","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Documentation; Software documentation; Agile software development; Computer science; Software; Software engineering; Internal documentation; Software development; World Wide Web; Software development process; Software construction; Programming language","score_opus":0.035396109544638496,"score_gpt":0.3075729788635977,"score_spread":0.2721768693189592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240236477","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019541956,0.0028762282,0.92447853,0.005342223,0.0003962015,0.00019152147,0.00024245403,0.00085135875,0.063667335],"genre_scores_gemma":[0.11587067,0.005256368,0.8516877,0.0010916884,0.0007103244,0.0008304707,0.0007946543,0.00068408233,0.023073973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98848605,0.0058657075,0.0013928815,0.0010944897,0.0026244652,0.0005365089],"domain_scores_gemma":[0.9880447,0.0059469277,0.00096781517,0.002484262,0.0021277652,0.00042848926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012838625,0.0013482331,0.00090895424,0.008476919,0.0045823627,0.015154828,0.0038543053,0.005073106,0.006452467],"category_scores_gemma":[0.01587482,0.0012144471,0.002319314,0.008073187,0.016733168,0.0232767,0.0054948637,0.0058750473,0.0025069127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002652771,0.0000049371824,0.000038824463,0.000050019942,0.000003169584,0.000050950737,0.00096958055,0.0003724642,0.000087037144,0.9907069,0.0010407598,0.0066727432],"study_design_scores_gemma":[0.000008196093,0.000012713912,0.00009422915,0.00022447704,0.000012484827,0.00025787298,0.0005818637,0.003728529,0.00032631998,0.8745545,0.12017546,0.000023351524],"about_ca_topic_score_codex":0.008905549,"about_ca_topic_score_gemma":0.0047499626,"teacher_disagreement_score":0.015154828,"about_ca_system_score_codex":0.007098042,"about_ca_system_score_gemma":0.0054426915,"threshold_uncertainty_score":0.067897975},"labels":[],"label_agreement":null},{"id":"W4240618440","doi":"10.1515/9783110252941","title":"Modal Adjectives","year":2012,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oxford; University of Cambridge; Nottingham Trent University; Centre National de la Recherche Scientifique; Carnegie Institution of Washington; Trent University; University of Glasgow; Dumbarton Oaks Research Library and Collection","keywords":"Modal; Linguistics; Mathematics; Philosophy; Materials science; Composite material","score_opus":0.019544663370059893,"score_gpt":0.2250475581435048,"score_spread":0.2055028947734449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240618440","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004844563,0.065302186,0.003220714,0.042827964,0.41745076,0.00012015489,0.0009800479,0.0006232172,0.4689905],"genre_scores_gemma":[0.0041477894,0.025692428,0.0015664734,0.01453963,0.11130111,0.0000860481,0.00086641015,0.00047717433,0.84132284],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993345,0.00010999851,0.000040547857,0.00008725065,0.000384871,0.000042837077],"domain_scores_gemma":[0.99845874,0.00037042508,0.00007228896,0.00006318024,0.0009141655,0.00012129143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007580951,0.0008550623,0.00072199473,0.002742874,0.0010580285,0.0031058444,0.0008220385,0.0017916108,0.08268147],"category_scores_gemma":[0.0028868716,0.00034765722,0.00046528404,0.0014347484,0.0008419629,0.0024378817,0.0010061713,0.002457488,0.038928177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007842718,0.0000039975016,0.0000058378864,0.00010405387,0.00000188672,0.000030842275,0.000009711229,0.000013229003,0.00012739528,0.0023874885,0.97612834,0.021179516],"study_design_scores_gemma":[0.0000024373614,0.0000026530633,0.000031639007,0.00008695373,0.0000028294305,0.000047386467,0.000008794285,0.00001657322,0.000071251474,0.0008400069,0.99888724,0.000002095072],"about_ca_topic_score_codex":0.0016767252,"about_ca_topic_score_gemma":0.0055986233,"teacher_disagreement_score":0.08268147,"about_ca_system_score_codex":0.0014179689,"about_ca_system_score_gemma":0.0014503973,"threshold_uncertainty_score":0.27659708},"labels":[],"label_agreement":null},{"id":"W4240645821","doi":"10.4018/978-1-59904-002-8.ch062","title":"Knowledge Representation in Semantic Mobile Applications","year":2007,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Semantic Web; Representation (politics); Data science; Knowledge representation and reasoning; World Wide Web; Social Semantic Web; Knowledge management; Information retrieval; Artificial intelligence; Political science","score_opus":0.042697013150997803,"score_gpt":0.32047861938881433,"score_spread":0.27778160623781656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240645821","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047955127,0.029369507,0.7803044,0.006761219,0.0007395917,0.00018883552,0.00042633666,0.0012768608,0.17613785],"genre_scores_gemma":[0.19488183,0.050118748,0.65236175,0.0029965336,0.0010095999,0.0007206971,0.002739922,0.00059796456,0.09457294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882287,0.00048410238,0.00010061133,0.00015862021,0.00033298024,0.00010076901],"domain_scores_gemma":[0.9995309,0.00026439162,0.000020839807,0.000099609635,0.0000601324,0.000024030316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016479666,0.0008722853,0.00059560424,0.0027199658,0.0012050557,0.007319195,0.0022932857,0.0025687693,0.006444593],"category_scores_gemma":[0.0022158553,0.0005544791,0.00096520944,0.005985423,0.0029005667,0.010426266,0.0029392247,0.002276449,0.0028209798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068892878,0.000016109854,0.000054223907,0.00023627788,0.000011389767,0.00017521094,0.0006564035,0.002830358,0.0004692131,0.91232795,0.0082563795,0.07495958],"study_design_scores_gemma":[0.0000051359757,0.000009024627,0.00011095512,0.0004153944,0.00001877247,0.0003287235,0.00041565855,0.014518284,0.0009712873,0.66267866,0.3205117,0.00001641659],"about_ca_topic_score_codex":0.0035810238,"about_ca_topic_score_gemma":0.003160718,"teacher_disagreement_score":0.007319195,"about_ca_system_score_codex":0.0023517902,"about_ca_system_score_gemma":0.0013427768,"threshold_uncertainty_score":0.021559358},"labels":[],"label_agreement":null},{"id":"W4240699871","doi":"10.1111/hdi.12575","title":"ISSUE INFORMATION","year":2017,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Hemodialysis; Library science; Computer science; Internal medicine","score_opus":0.019545586740041792,"score_gpt":0.28903587943779696,"score_spread":0.26949029269775515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240699871","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031450982,0.0013246196,0.0014091684,0.0031367608,0.011586303,0.00038610437,0.033381935,0.0021445334,0.946316],"genre_scores_gemma":[0.001216621,0.0012646859,0.0008160004,0.0011997621,0.0018234573,0.00015769408,0.017905047,0.0006850138,0.9749316],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882036,0.00013940825,0.00010723832,0.00021220656,0.00059575,0.00012496916],"domain_scores_gemma":[0.9965425,0.0004774525,0.00020933163,0.0004688938,0.0013817721,0.0009200856],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013257078,0.0013987161,0.001422575,0.0071383673,0.0014072325,0.008347505,0.0016587488,0.002203822,0.89097905],"category_scores_gemma":[0.0072936714,0.00052290724,0.0008506711,0.0062036696,0.0005060196,0.0042280788,0.002578129,0.0017424554,0.8301869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015021448,0.000026636326,0.00006912595,0.00016640102,0.0000019106662,0.000017171695,0.00001287922,0.000025569992,0.00011104133,0.0020869295,0.95299166,0.044475812],"study_design_scores_gemma":[0.000007914604,0.000007602506,0.0001703043,0.00007458365,0.000002004483,0.000017958742,0.000020768335,0.000040628238,0.000063774285,0.0010887164,0.9985025,0.0000033184838],"about_ca_topic_score_codex":0.00175657,"about_ca_topic_score_gemma":0.0029584612,"teacher_disagreement_score":0.10902095,"about_ca_system_score_codex":0.0011744798,"about_ca_system_score_gemma":0.0031113902,"threshold_uncertainty_score":0.15550506},"labels":[],"label_agreement":null},{"id":"W4240875063","doi":"10.1007/978-0-387-39940-9_3025","title":"Materialized View Redefinition","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materialized view; Computer science; Information retrieval","score_opus":0.026435655371691402,"score_gpt":0.24286786464804055,"score_spread":0.21643220927634915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240875063","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00394775,0.0026237876,0.5935852,0.0032279235,0.004428689,0.00061676506,0.010628686,0.03895944,0.34198174],"genre_scores_gemma":[0.09342809,0.0065987105,0.50838935,0.0029441488,0.0014911976,0.0006167391,0.032809485,0.026786523,0.32693583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975206,0.00043563833,0.00019825088,0.0004211343,0.0011872773,0.00023708343],"domain_scores_gemma":[0.9963846,0.00061792263,0.000074523196,0.0017351758,0.0010460922,0.00014169664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022242279,0.0013765797,0.001034282,0.0031859935,0.0012483794,0.00842494,0.002944429,0.0016042871,0.10758105],"category_scores_gemma":[0.0068712905,0.0009799957,0.0018142634,0.0023946522,0.0017517863,0.010012417,0.0064522126,0.003545841,0.0387081],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002816255,0.000108870874,0.00045910833,0.0010221568,0.00006690665,0.0007878844,0.0013576822,0.00140578,0.008132917,0.421359,0.24161658,0.32340148],"study_design_scores_gemma":[0.000016603612,0.000013548759,0.000080290774,0.00022190124,0.000041918516,0.00024836007,0.00014015613,0.0026387665,0.0056387205,0.036937572,0.9539952,0.000026967751],"about_ca_topic_score_codex":0.005088945,"about_ca_topic_score_gemma":0.0070226137,"teacher_disagreement_score":0.10758105,"about_ca_system_score_codex":0.0017285264,"about_ca_system_score_gemma":0.0028977368,"threshold_uncertainty_score":0.35989445},"labels":[],"label_agreement":null},{"id":"W4241080841","doi":"10.32920/14641956.v1","title":"Mereotopology for product modeling","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Task (project management); Product (mathematics); New product development; Product design; Software engineering; Systems engineering; Management science; Engineering; Mathematics","score_opus":0.07243879870025274,"score_gpt":0.3103933980051861,"score_spread":0.23795459930493337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241080841","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004246635,0.0038910396,0.92503196,0.0031653831,0.00026111546,0.000077017496,0.000277375,0.00037306058,0.06267647],"genre_scores_gemma":[0.32124287,0.010428188,0.62304497,0.0018904173,0.0010348028,0.00061885075,0.0010248456,0.00052623835,0.040188793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990779,0.00034385396,0.00007324969,0.00015451456,0.00030460546,0.000045809997],"domain_scores_gemma":[0.99917334,0.00041099676,0.00009975564,0.00017126382,0.000093088864,0.000051425865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016457504,0.0009409393,0.0006251989,0.0015618273,0.0010523008,0.0032692822,0.0011247371,0.0012945634,0.009465207],"category_scores_gemma":[0.0024838038,0.00057571084,0.0017183578,0.0019893015,0.0042212703,0.006572676,0.002182734,0.0033082913,0.0021814487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038281855,0.0000039039023,0.000038985654,0.000027323727,0.0000034077923,0.00003745886,0.00008473409,0.001378053,0.00012323893,0.99286944,0.0007979595,0.00463179],"study_design_scores_gemma":[0.0000043715963,0.000006123407,0.00004245212,0.00003071342,0.0000045421657,0.000055745557,0.000030154202,0.008518182,0.00016682307,0.9470982,0.0440368,0.0000058890914],"about_ca_topic_score_codex":0.002348376,"about_ca_topic_score_gemma":0.0028542627,"teacher_disagreement_score":0.009465207,"about_ca_system_score_codex":0.002192899,"about_ca_system_score_gemma":0.0015296384,"threshold_uncertainty_score":0.031664312},"labels":[],"label_agreement":null},{"id":"W4241562268","doi":"10.4018/9781591405566.ch048","title":"Knowledge Extraction and Sharing in External Communities of Practice","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Knowledge sharing; Extraction (chemistry); Community of practice; Knowledge management; Computer science; Sociology; Chemistry; Chromatography; Social science","score_opus":0.05636521553290389,"score_gpt":0.30185069767303957,"score_spread":0.24548548214013569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241562268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29223448,0.0019476467,0.5262139,0.004126862,0.00023135539,0.0031508277,0.0011790091,0.0014551367,0.16946085],"genre_scores_gemma":[0.80220807,0.00074289565,0.16832043,0.00039678952,0.00009141724,0.0011051496,0.0016451048,0.00022592803,0.0252642],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9795599,0.010229811,0.0014874517,0.003667145,0.0038861397,0.0011695258],"domain_scores_gemma":[0.962397,0.020718055,0.0035051892,0.0078175785,0.0038834782,0.0016786171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012247683,0.00061581685,0.0009027864,0.009467755,0.0048741754,0.012825482,0.0025449477,0.0030383593,0.009419315],"category_scores_gemma":[0.04817058,0.0006611345,0.0012659325,0.009120418,0.0048390077,0.017935058,0.017164469,0.001387109,0.0022444339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003870924,0.0007116199,0.029374927,0.0017230443,0.0002471356,0.0031973813,0.15178025,0.0069380207,0.0044212868,0.33251026,0.009728734,0.45898017],"study_design_scores_gemma":[0.00020337164,0.0003225385,0.015229371,0.001657564,0.00022267309,0.0023044224,0.09165669,0.050263446,0.0063126185,0.53364444,0.29801786,0.00016508269],"about_ca_topic_score_codex":0.0035727697,"about_ca_topic_score_gemma":0.0028299463,"teacher_disagreement_score":0.012825482,"about_ca_system_score_codex":0.00328628,"about_ca_system_score_gemma":0.004884694,"threshold_uncertainty_score":0.064772725},"labels":[],"label_agreement":null},{"id":"W4241716526","doi":"10.4018/978-1-5225-5191-1.ch014","title":"Design of Information Spaces and Retrieval of Information Using Electrostatics in Virtual Spaces","year":2018,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Space (punctuation); Situated; Scalability; Human–computer interaction; Information space; Architecture; Information architecture; World Wide Web; Information system; Artificial intelligence; Management information systems; Engineering; Geography","score_opus":0.022495717809518048,"score_gpt":0.24752762819518645,"score_spread":0.2250319103856684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241716526","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026636338,0.0013029044,0.9287667,0.00090976735,0.00015344787,0.00012590537,0.00011048167,0.00076325756,0.04123114],"genre_scores_gemma":[0.45911384,0.0020278906,0.4977968,0.00026795766,0.000072522234,0.00032258133,0.0002895015,0.00031323943,0.03979571],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992173,0.00023935318,0.00006265607,0.000101847116,0.00029725494,0.00008149961],"domain_scores_gemma":[0.99957436,0.00015662618,0.000032718915,0.00009582514,0.000093463255,0.000046938898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008428126,0.00041350388,0.00048811483,0.0007580532,0.0011239343,0.0043874807,0.0011904745,0.00098246,0.005219861],"category_scores_gemma":[0.0017441887,0.00039695133,0.00077182596,0.0009790703,0.0018133009,0.005026894,0.0026559392,0.0006981512,0.0014683483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007941872,0.000063446634,0.000563056,0.00043890838,0.000035388926,0.00040271677,0.0024851442,0.032736555,0.01983162,0.8405877,0.0056909067,0.09708514],"study_design_scores_gemma":[0.00007966961,0.00014179596,0.0007692704,0.00020226995,0.000053000287,0.0012157443,0.0019106508,0.16720524,0.023762254,0.5597734,0.24480475,0.00008198784],"about_ca_topic_score_codex":0.00057594304,"about_ca_topic_score_gemma":0.0004740174,"teacher_disagreement_score":0.005219861,"about_ca_system_score_codex":0.0007498139,"about_ca_system_score_gemma":0.0006037482,"threshold_uncertainty_score":0.017462134},"labels":[],"label_agreement":null},{"id":"W4241991944","doi":"10.1007/978-1-4939-7131-2_100525","title":"Interaction Network","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.03457559606248188,"score_gpt":0.2559897693406837,"score_spread":0.2214141732782018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241991944","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009303091,0.0010878049,0.52005374,0.0019387874,0.00050104613,0.00036844844,0.004812945,0.0034517066,0.45848244],"genre_scores_gemma":[0.26431766,0.0038878075,0.21233593,0.0011062755,0.0004681099,0.0012566897,0.01790268,0.0013134577,0.49741143],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990675,0.00017757945,0.000039904593,0.00031051613,0.00030688566,0.000097609234],"domain_scores_gemma":[0.9992181,0.00025382414,0.000047509377,0.00020444124,0.00020687321,0.00006919723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051691267,0.0007481374,0.00039875307,0.002587765,0.0015189375,0.0025580905,0.001311343,0.0011285238,0.07276795],"category_scores_gemma":[0.0023914168,0.00035409018,0.0006463798,0.0028101653,0.0007692343,0.0046759555,0.0023389093,0.0012645562,0.023502424],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011745288,0.000086335654,0.00078553415,0.00024663066,0.000041383868,0.00035779556,0.00029681312,0.0057671918,0.004538188,0.7005452,0.08402099,0.20319656],"study_design_scores_gemma":[0.000020829108,0.000043704196,0.0008489532,0.000110243054,0.000051433846,0.00074655924,0.00027458367,0.041772358,0.0047277706,0.41171175,0.53965896,0.00003296296],"about_ca_topic_score_codex":0.0024975236,"about_ca_topic_score_gemma":0.0023530438,"teacher_disagreement_score":0.07276795,"about_ca_system_score_codex":0.0010237171,"about_ca_system_score_gemma":0.0009428585,"threshold_uncertainty_score":0.243433},"labels":[],"label_agreement":null},{"id":"W4242061613","doi":"10.4018/978-1-60566-170-4.ch019","title":"Development of an Ontology for an Industrial Domain","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ontology; Computer science; Conceptualization; Upper ontology; Process ontology; OWL-S; Software engineering; Domain knowledge; Ontology-based data integration; Domain (mathematical analysis); Suggested Upper Merged Ontology; Knowledge management; Semantic Web; World Wide Web; Artificial intelligence; Semantic Web Stack","score_opus":0.09609906717849913,"score_gpt":0.2841392010374887,"score_spread":0.18804013385898954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242061613","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026491769,0.00079792226,0.9452597,0.0010818272,0.0003483287,0.00037147582,0.0003124863,0.0007172775,0.04846176],"genre_scores_gemma":[0.018548464,0.001336874,0.9642556,0.00024243088,0.00005319718,0.00037753762,0.0007926792,0.0002529441,0.014140262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988287,0.00024444258,0.00014990203,0.00019431036,0.00050021074,0.000082450555],"domain_scores_gemma":[0.9994361,0.00020164836,0.000034871944,0.00011150682,0.00017523993,0.000040591283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018184623,0.00069721864,0.0006255601,0.0030255471,0.0019628345,0.0039070905,0.0015916502,0.0016281991,0.005550959],"category_scores_gemma":[0.0016156035,0.00074567326,0.0016556107,0.0025729388,0.001600949,0.0074583697,0.002580715,0.003441149,0.0028007566],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013931656,0.0000859819,0.00030779556,0.0003837397,0.000023139373,0.0004417474,0.0024746084,0.0034865723,0.005963272,0.83980215,0.010147834,0.13686916],"study_design_scores_gemma":[0.00001462264,0.00002143831,0.00030034475,0.00040168306,0.000028590614,0.0005414373,0.0009028518,0.018920034,0.0042378167,0.21441376,0.76017606,0.00004135086],"about_ca_topic_score_codex":0.003988242,"about_ca_topic_score_gemma":0.004108259,"teacher_disagreement_score":0.005550959,"about_ca_system_score_codex":0.0017916767,"about_ca_system_score_gemma":0.003645041,"threshold_uncertainty_score":0.018569767},"labels":[],"label_agreement":null},{"id":"W4242081906","doi":"10.1145/1352431.1352445","title":"Schema merging and mapping creation for relational sources","year":2008,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Schema (genetic algorithms); Computer science; Star schema; Conjunctive query; Information schema; Semi-structured model; Conceptual schema; Database schema; Information retrieval; Schema migration; Relational database; Theoretical computer science; Data mining; Database design; Gender schema theory; Psychology","score_opus":0.051720644857173495,"score_gpt":0.2544120085106381,"score_spread":0.20269136365346463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242081906","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008943186,0.00023936082,0.9828073,0.00021274619,0.000031843476,0.00017198506,0.0003282563,0.00527047,0.0019949027],"genre_scores_gemma":[0.060944732,0.00022717575,0.93484104,0.00012209134,0.00001931178,0.00013825211,0.0015703362,0.0007474523,0.0013896051],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947916,0.0017338007,0.0005127477,0.0011069779,0.0016558241,0.00019905687],"domain_scores_gemma":[0.9908069,0.0046139606,0.00046291595,0.002656487,0.0012848106,0.00017497259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007838036,0.0008969457,0.0010392467,0.004145913,0.001489811,0.0038044092,0.0034615726,0.0017618362,0.005274915],"category_scores_gemma":[0.020046977,0.0009828695,0.002258664,0.0044283844,0.0010780637,0.007061695,0.004963604,0.0015718754,0.0018495057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038331698,0.0003128718,0.00658188,0.00090614345,0.00044249318,0.0009567588,0.0037984427,0.033350356,0.018757202,0.21462135,0.017287295,0.70260185],"study_design_scores_gemma":[0.00015345545,0.0001771937,0.0018109815,0.00035622853,0.00038512563,0.0019904654,0.001466979,0.49070054,0.12079922,0.26849174,0.113484055,0.00018399731],"about_ca_topic_score_codex":0.0024508738,"about_ca_topic_score_gemma":0.0038760796,"teacher_disagreement_score":0.007838036,"about_ca_system_score_codex":0.0011738228,"about_ca_system_score_gemma":0.001861668,"threshold_uncertainty_score":0.04145199},"labels":[],"label_agreement":null},{"id":"W4242655926","doi":"10.1007/978-1-4939-7131-2_100202","title":"Content-Based Recommendation","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.1021256123709273,"score_gpt":0.25965754057803914,"score_spread":0.15753192820711184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242655926","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0128139835,0.032615714,0.6906076,0.002551066,0.0026455268,0.00037233278,0.0026541858,0.0065171183,0.24922238],"genre_scores_gemma":[0.19870852,0.035736643,0.37582403,0.001180225,0.0020275826,0.0002716422,0.0097388355,0.0010346002,0.37547794],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99913234,0.000116781644,0.0000441472,0.00018222265,0.00045982478,0.000064568885],"domain_scores_gemma":[0.99937075,0.00016116945,0.000021822796,0.00020282785,0.00021414351,0.00002939324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006618696,0.0012682242,0.0014485085,0.0023922522,0.0006537268,0.0022140678,0.001885148,0.0014384236,0.021918783],"category_scores_gemma":[0.0018467586,0.0005807118,0.0009973415,0.006082937,0.00041003566,0.003440838,0.0008354366,0.0012529965,0.01856315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014488731,0.00027791076,0.00038868666,0.000462717,0.00018014791,0.00008500906,0.00004596486,0.015000692,0.0071991202,0.038833193,0.12307246,0.8143091],"study_design_scores_gemma":[0.000095805415,0.00018225782,0.0020563665,0.00038521297,0.00033392356,0.0010028121,0.00013213496,0.46486747,0.020695284,0.13011634,0.37996134,0.0001710446],"about_ca_topic_score_codex":0.0060479776,"about_ca_topic_score_gemma":0.008077828,"teacher_disagreement_score":0.021918783,"about_ca_system_score_codex":0.0012097049,"about_ca_system_score_gemma":0.00074672035,"threshold_uncertainty_score":0.073325574},"labels":[],"label_agreement":null},{"id":"W4243064861","doi":"10.4018/978-1-4666-0333-2.ch004","title":"A Systematic Approach for Managing the Risk Related to Semantic Interoperability between Geospatial Datacubes","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Geospatial analysis; Computer science; Interoperability; Information retrieval; Database; Geospatial metadata; Geospatial PDF; Data science; Metadata; World Wide Web; Geography; Metadata repository; Meta Data Services; Remote sensing","score_opus":0.027923404924900135,"score_gpt":0.25842569007712185,"score_spread":0.2305022851522217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243064861","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024458836,0.0011427208,0.98128164,0.0013523048,0.00007506731,0.00038303298,0.000077480494,0.00039210328,0.012849854],"genre_scores_gemma":[0.039358284,0.0018339697,0.95281184,0.00030315254,0.00005681549,0.00045180213,0.00034444782,0.00013181141,0.004707806],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.990053,0.00341549,0.0008954517,0.00095985614,0.0043046162,0.00037158452],"domain_scores_gemma":[0.99313426,0.002349623,0.00055339246,0.0023287958,0.0013198493,0.0003141321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009767716,0.0012588918,0.001079014,0.005492673,0.0025220755,0.010461082,0.0052381805,0.0039315308,0.003107107],"category_scores_gemma":[0.011855366,0.0013822162,0.002346106,0.007259506,0.0046688993,0.014436424,0.009403159,0.004961042,0.0012964945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002177878,0.00012861723,0.0008801026,0.0005011851,0.000096702825,0.00059870235,0.0015054742,0.01281028,0.0029220795,0.8266149,0.005865371,0.14805476],"study_design_scores_gemma":[0.000023167473,0.000069777205,0.0005686168,0.0010959676,0.00015825965,0.0015244348,0.0018978745,0.09163191,0.0063932985,0.6687793,0.22776712,0.00009027903],"about_ca_topic_score_codex":0.0028358514,"about_ca_topic_score_gemma":0.003624853,"teacher_disagreement_score":0.010461082,"about_ca_system_score_codex":0.0035737185,"about_ca_system_score_gemma":0.006681749,"threshold_uncertainty_score":0.0516572},"labels":[],"label_agreement":null},{"id":"W4243153949","doi":"10.32920/ryerson.14641050.v1","title":"The strongest link: libraries and linked data","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Link (geometry); Computer science; Computer network","score_opus":0.08090991699656903,"score_gpt":0.2848775912802155,"score_spread":0.20396767428364648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243153949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01604988,0.04284413,0.77125037,0.079022944,0.0041675004,0.00012484982,0.0012073965,0.0021453048,0.0831877],"genre_scores_gemma":[0.45209348,0.057911173,0.37942135,0.014888885,0.016314493,0.0005591021,0.0050370614,0.0028439008,0.07093062],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9898364,0.0037605218,0.0006539324,0.0016703169,0.0035812778,0.0004976481],"domain_scores_gemma":[0.95935065,0.025185594,0.002112209,0.0061590644,0.004870687,0.0023218286],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008171178,0.0012717745,0.0022863084,0.009948111,0.006795594,0.020683814,0.0030554992,0.008747969,0.014898761],"category_scores_gemma":[0.055227567,0.0021003885,0.0015952133,0.018102793,0.010108159,0.06794288,0.012797794,0.009643466,0.0041612363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042225754,0.00003978699,0.00064852077,0.0002947879,0.00005492438,0.00013833467,0.0006362044,0.00077425403,0.00017953229,0.9225488,0.028584661,0.046057947],"study_design_scores_gemma":[0.000008544899,0.0000042248184,0.000105282066,0.000116202245,0.00003675478,0.00011130198,0.00014549195,0.001692764,0.00023373781,0.9670215,0.03050614,0.000017933238],"about_ca_topic_score_codex":0.0053758537,"about_ca_topic_score_gemma":0.0047169277,"teacher_disagreement_score":0.9793162,"about_ca_system_score_codex":0.0031820994,"about_ca_system_score_gemma":0.003704765,"threshold_uncertainty_score":0.049841285},"labels":[],"label_agreement":null},{"id":"W4243295829","doi":"10.1162/leon_a_00606","title":"Ut Pictura Poesis: Drawing into Space","year":2013,"lang":"en","type":"article","venue":"Leonardo","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Diagrammatic reasoning; Restructuring; Computer science; Space (punctuation); Graphics; Algebra over a field; Euler's formula; Epistemology; Mathematics; Programming language; Computer graphics (images); Pure mathematics; Philosophy","score_opus":0.009004080223288429,"score_gpt":0.22028223361613672,"score_spread":0.21127815339284828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243295829","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01672507,0.0041376823,0.08109793,0.010087526,0.0015234689,0.00005799893,0.00018504092,0.0013395695,0.8848456],"genre_scores_gemma":[0.6830039,0.005597066,0.07085538,0.0020708821,0.0005487558,0.00016465611,0.0003725889,0.0011435396,0.23624328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994099,0.00036503898,0.000012119787,0.00007612453,0.000095092706,0.00004166696],"domain_scores_gemma":[0.99955636,0.000255621,0.00002305348,0.000079800164,0.000051967385,0.000033279524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007349331,0.0006680555,0.00019852616,0.0011382006,0.0023091752,0.0044620023,0.0005685022,0.0011934289,0.019809436],"category_scores_gemma":[0.00328688,0.00018720048,0.0003346252,0.0011306378,0.007880505,0.005419089,0.0020454116,0.001988978,0.0025363488],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015032686,0.000004240904,0.00009408969,0.000060326038,0.0000025446723,0.00009377857,0.0100865755,0.00022437282,0.00035870337,0.9498896,0.012536174,0.02663463],"study_design_scores_gemma":[0.000011788076,0.00002177081,0.00018886552,0.000107108404,0.0000069277576,0.00026565816,0.003026525,0.00092197786,0.00075251114,0.21617,0.778515,0.000011932265],"about_ca_topic_score_codex":0.0028069934,"about_ca_topic_score_gemma":0.0038291642,"teacher_disagreement_score":0.019809436,"about_ca_system_score_codex":0.0014851763,"about_ca_system_score_gemma":0.00052338914,"threshold_uncertainty_score":0.0662691},"labels":[],"label_agreement":null},{"id":"W4243697166","doi":"10.1007/978-1-4614-6170-8_100894","title":"W3C Standard RDF Query Language","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"RDF query language; RDF; Computer science; RDF/XML; Simple Knowledge Organization System; RDF Schema; SPARQL; Information retrieval; Query language; Database; Programming language; World Wide Web; Web search query; Semantic Web; Web query classification; Search engine","score_opus":0.013150133014137786,"score_gpt":0.23196586809907913,"score_spread":0.21881573508494134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243697166","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013841244,0.0077090934,0.5710993,0.0055153915,0.0018316465,0.00078532024,0.024033414,0.013358887,0.3742828],"genre_scores_gemma":[0.013687974,0.028550124,0.4618335,0.0058684074,0.00079454726,0.0014141843,0.09488462,0.012810155,0.38015658],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829644,0.00026823758,0.00019527395,0.00019261465,0.0009317981,0.00011555793],"domain_scores_gemma":[0.9990087,0.00031306598,0.00004218329,0.00025606685,0.00033562948,0.000044440705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022847166,0.0015034906,0.0013599045,0.0049415757,0.0013697376,0.0053208116,0.002560386,0.0022054834,0.03925811],"category_scores_gemma":[0.0043385862,0.0008523311,0.0013590273,0.0094379075,0.0011165928,0.007357303,0.002807681,0.0026570826,0.035068564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031898282,0.000067833054,0.000096650394,0.0009184795,0.00003448878,0.00017259232,0.00025855194,0.0025577513,0.0019544745,0.30091614,0.45109797,0.24189316],"study_design_scores_gemma":[0.00000682291,0.0000027684578,0.00005473719,0.00024703215,0.000016048472,0.00016617568,0.000049409777,0.0024362372,0.0011040678,0.06283078,0.9330676,0.000018281913],"about_ca_topic_score_codex":0.017242778,"about_ca_topic_score_gemma":0.018016523,"teacher_disagreement_score":0.03925811,"about_ca_system_score_codex":0.0020346525,"about_ca_system_score_gemma":0.0039342446,"threshold_uncertainty_score":0.1313315},"labels":[],"label_agreement":null},{"id":"W4243741863","doi":"10.1145/506558.506617","title":"Hunter gatherer","year":2002,"lang":"en","type":"article","venue":"CHI '02 extended abstracts on Human factors in computer systems - CHI '02","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hunter-gatherer; Computer science; World Wide Web; Human–computer interaction; Data science; Archaeology; Geography","score_opus":0.06601351340719888,"score_gpt":0.2802433541484786,"score_spread":0.21422984074127974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243741863","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07031724,0.003839312,0.16025469,0.005608149,0.002492607,0.0028380875,0.01179702,0.07004133,0.6728115],"genre_scores_gemma":[0.11811347,0.002329643,0.17289269,0.0027667661,0.00039906643,0.0012890479,0.011235664,0.007258335,0.68371534],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884677,0.00024034089,0.00007031759,0.00024884715,0.00041980363,0.00017382704],"domain_scores_gemma":[0.9963025,0.0011612672,0.00016902623,0.0007710713,0.0007488354,0.00084737316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002134252,0.0010339234,0.00079098524,0.0045136926,0.0035213667,0.0027152903,0.0013494426,0.0013023962,0.14690912],"category_scores_gemma":[0.006350056,0.00072615326,0.0006922253,0.0025054037,0.0009503768,0.0035932933,0.0055497093,0.001137436,0.06969619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000649158,0.00029060955,0.009137316,0.0007381856,0.00005635641,0.0010688537,0.008237299,0.00027142544,0.0079995375,0.010920499,0.48863858,0.4719922],"study_design_scores_gemma":[0.00003461579,0.00013771569,0.0049199266,0.00017501332,0.000036016845,0.0007552976,0.0023110397,0.0007793506,0.0024426337,0.0039174063,0.98441166,0.00007931013],"about_ca_topic_score_codex":0.0035680807,"about_ca_topic_score_gemma":0.010738926,"teacher_disagreement_score":0.14690912,"about_ca_system_score_codex":0.00048271488,"about_ca_system_score_gemma":0.0018285685,"threshold_uncertainty_score":0.49145997},"labels":[],"label_agreement":null},{"id":"W4243868490","doi":"10.1007/978-1-4614-8265-9_80781","title":"RDF Technology","year":2018,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science","score_opus":0.016968796290621823,"score_gpt":0.23660412091125393,"score_spread":0.21963532462063212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243868490","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00074116635,0.012304825,0.08841192,0.0053024315,0.0022316175,0.00014759524,0.0022577054,0.0026251231,0.8859775],"genre_scores_gemma":[0.016654639,0.030206079,0.085558034,0.0045715347,0.0010869558,0.00031167164,0.010451826,0.0023055787,0.84885365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988292,0.0002235363,0.000092953655,0.00023333292,0.0005335993,0.00008735502],"domain_scores_gemma":[0.9993131,0.00018932094,0.000022383376,0.00026717226,0.00017031192,0.000037688704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014195017,0.00083663105,0.0005425445,0.0030918766,0.0011194363,0.0048895893,0.0014763634,0.0016897202,0.06520444],"category_scores_gemma":[0.0025242297,0.0006018643,0.0007365089,0.0030371665,0.0012771897,0.0092825,0.0028739297,0.002139909,0.046016503],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012425025,0.00003153679,0.000097291086,0.00030181353,0.000010877329,0.00009061896,0.00024306634,0.00029874957,0.001154978,0.5485662,0.21162103,0.2375714],"study_design_scores_gemma":[0.0000016177405,0.0000018323224,0.000031609565,0.00010913566,0.0000026375,0.00010842514,0.000028846373,0.00013263144,0.0005273662,0.030077439,0.9689738,0.0000045799866],"about_ca_topic_score_codex":0.0031204268,"about_ca_topic_score_gemma":0.0037697216,"teacher_disagreement_score":0.06520444,"about_ca_system_score_codex":0.0013737365,"about_ca_system_score_gemma":0.0015626833,"threshold_uncertainty_score":0.21813059},"labels":[],"label_agreement":null},{"id":"W4244038528","doi":"10.1002/asi.21134","title":"Intertextual semantics: A semantics for information design","year":2009,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Computer science; Rotation formalisms in three dimensions; Semantics (computer science); Natural language; Semiotics; Information system; Computational semantics; Point (geometry); Programming language; Artificial intelligence; Operational semantics; Linguistics; Mathematics; Engineering","score_opus":0.016117594041342432,"score_gpt":0.27310820587737433,"score_spread":0.2569906118360319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244038528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009511106,0.0033419328,0.9215967,0.009854189,0.00059080723,0.00013411387,0.00023035464,0.00039972528,0.054341048],"genre_scores_gemma":[0.7022716,0.0025638964,0.280535,0.0019152089,0.0008454422,0.00061024906,0.0005039668,0.00028991624,0.010464722],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9932601,0.0039024989,0.00071426644,0.00064304617,0.001191576,0.00028866463],"domain_scores_gemma":[0.99351716,0.0028794587,0.0005365848,0.0012527191,0.0013681505,0.000445877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008040015,0.0008137988,0.00080632366,0.004183233,0.0027805786,0.009164339,0.0020026527,0.0031457476,0.0043102857],"category_scores_gemma":[0.009750712,0.0005861466,0.0013509485,0.0033603085,0.017401475,0.018676456,0.0047228406,0.0034964553,0.00088823936],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004051805,0.0000041208154,0.000026402118,0.000020730773,0.000003634367,0.00002058587,0.00030752074,0.000339447,0.000055519442,0.9968592,0.00044643666,0.0019123143],"study_design_scores_gemma":[0.000009793617,0.0000068703293,0.000022023414,0.000040528896,0.000005662741,0.000053134645,0.00023251835,0.0021520662,0.00015712062,0.9796072,0.017707108,0.000005918534],"about_ca_topic_score_codex":0.001910466,"about_ca_topic_score_gemma":0.0011043677,"teacher_disagreement_score":0.009164339,"about_ca_system_score_codex":0.0029395898,"about_ca_system_score_gemma":0.0024650616,"threshold_uncertainty_score":0.042520165},"labels":[],"label_agreement":null},{"id":"W4244112669","doi":"10.4018/9781599045436.ch011","title":"The Social Context of Knowledge","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Tacit knowledge; Knowledge management; Social software; Context (archaeology); Situated; Domain knowledge; Typology; Collaborative software; Variety (cybernetics); Personal knowledge management; Data science; World Wide Web; Sociology; Artificial intelligence; Organizational learning","score_opus":0.04148873359306294,"score_gpt":0.2698423218590577,"score_spread":0.22835358826599478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244112669","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034193397,0.026783489,0.049160395,0.026429944,0.0006379945,0.000085459484,0.00030815144,0.00015429297,0.86224693],"genre_scores_gemma":[0.9288413,0.015385534,0.018041952,0.002184097,0.00068702595,0.00013058398,0.00037860716,0.00010728901,0.0342436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99668163,0.0018301235,0.0001306896,0.00050388643,0.0006116285,0.00024198639],"domain_scores_gemma":[0.9977452,0.001239028,0.00019921236,0.00040985915,0.00019330543,0.00021332027],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002093929,0.00036441162,0.0004313165,0.003253943,0.0041756164,0.0121230185,0.00094589975,0.0019744535,0.005260797],"category_scores_gemma":[0.004077166,0.00030707047,0.00033184668,0.0035398502,0.019097775,0.010884504,0.0061882613,0.0018448628,0.0010075661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003750741,0.0000046768823,0.00019754632,0.0000549977,0.0000061881265,0.000100574194,0.0051570726,0.00020081497,0.000117354946,0.9809537,0.0021138967,0.011089495],"study_design_scores_gemma":[0.0000046719097,0.000005862615,0.0004980738,0.00020047811,0.000009829969,0.0001563396,0.0049624154,0.00044303702,0.00011096303,0.7492557,0.24434079,0.000011840662],"about_ca_topic_score_codex":0.005468751,"about_ca_topic_score_gemma":0.0046278634,"teacher_disagreement_score":0.9958244,"about_ca_system_score_codex":0.004256842,"about_ca_system_score_gemma":0.0029021918,"threshold_uncertainty_score":0.030885696},"labels":[],"label_agreement":null},{"id":"W4244486989","doi":"10.22201/fi.25940732e.2008.09n2.013","title":"Artificial learning approaches for the nextgeneration web: Part II","year":2008,"lang":"es","type":"article","venue":"Ingeniería Investigación y Tecnología","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centrale des Syndicats du Québec","funders":"Division of Mathematical Sciences; University of Nottingham; Instituto Tecnológico y de Estudios Superiores de Monterrey; Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California; Griffith University; Universidad de Colima","keywords":"Ontology; Semantic Web; Computer science; Relation (database); Point (geometry); Ontology learning; OWL-S; Process (computing); Domain (mathematical analysis); Semantic Web Stack; Social Semantic Web; Information retrieval; Ontology Inference Layer; Upper ontology; Artificial intelligence; World Wide Web; Data mining; Suggested Upper Merged Ontology; Mathematics; Programming language","score_opus":0.15965905854844925,"score_gpt":0.26509198628142794,"score_spread":0.10543292773297869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244486989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03130558,0.068378456,0.75101376,0.023225414,0.001304485,0.00033584202,0.00037100585,0.00052044564,0.123545095],"genre_scores_gemma":[0.39965275,0.042765033,0.4880501,0.0024436573,0.0015180691,0.00062858727,0.0008713041,0.00017608928,0.063894376],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939024,0.0002547842,0.000044433982,0.00011342147,0.00014908102,0.00004804679],"domain_scores_gemma":[0.99923146,0.0004467343,0.00006284056,0.000103041755,0.00009873582,0.000057186488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013664615,0.00035609488,0.00036895755,0.0017160026,0.00081352313,0.0036896945,0.0014531824,0.0016664253,0.0059920535],"category_scores_gemma":[0.0023312198,0.0002359913,0.0007038984,0.0016291599,0.0017422164,0.004787375,0.0014967055,0.001587222,0.0010595703],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038871724,0.00015905066,0.0021460815,0.0005377462,0.0001005243,0.0002784935,0.0005689965,0.039437395,0.0008239397,0.6787806,0.014060656,0.2630675],"study_design_scores_gemma":[0.000013827858,0.000024421512,0.0009546934,0.00028675568,0.000023221683,0.00028451678,0.0005580347,0.113757975,0.0006891669,0.75549674,0.12788296,0.00002775222],"about_ca_topic_score_codex":0.0034097992,"about_ca_topic_score_gemma":0.0053117843,"teacher_disagreement_score":0.0059920535,"about_ca_system_score_codex":0.0022790495,"about_ca_system_score_gemma":0.0010683251,"threshold_uncertainty_score":0.0200454},"labels":[],"label_agreement":null},{"id":"W4244529130","doi":"10.22215/timreview1025","title":"Boundary Objects as Part of Knowledge Integration for Networked Innovation","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Boundary (topology); Computer science; Knowledge management; Systems engineering; Geology; Business; Engineering","score_opus":0.03557108119884695,"score_gpt":0.31663607525699683,"score_spread":0.2810649940581499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244529130","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02893817,0.18970601,0.29131833,0.021938253,0.0018635638,0.00034231806,0.00018499338,0.0004084511,0.46529984],"genre_scores_gemma":[0.6517554,0.11088981,0.20754172,0.0026993759,0.0011716104,0.0005729933,0.0004240076,0.00015988904,0.024785189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99560827,0.0018430024,0.00044101142,0.0005234848,0.0012852598,0.0002989433],"domain_scores_gemma":[0.995688,0.0023454442,0.00054877746,0.0005418081,0.0006555359,0.00022045893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051449463,0.00048748314,0.00081084034,0.005565371,0.0024200582,0.011550727,0.0017648687,0.0035975145,0.008049105],"category_scores_gemma":[0.0068854014,0.00050048734,0.0008420656,0.005479438,0.012150638,0.022122478,0.004613444,0.0021563114,0.0010597823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011181194,0.000011001937,0.00023922502,0.00042792733,0.000019485049,0.00009996274,0.0010106406,0.0007747698,0.0002067124,0.9447267,0.0012994086,0.05117287],"study_design_scores_gemma":[0.000006269573,0.000015647744,0.00059369544,0.0013427176,0.000033750555,0.00032440308,0.0010687747,0.0017035059,0.000434971,0.8852904,0.10916587,0.00001994063],"about_ca_topic_score_codex":0.0031640024,"about_ca_topic_score_gemma":0.0019977563,"teacher_disagreement_score":0.011550727,"about_ca_system_score_codex":0.004293191,"about_ca_system_score_gemma":0.0041751224,"threshold_uncertainty_score":0.031149387},"labels":[],"label_agreement":null},{"id":"W4245430175","doi":"10.1162/coli_r_00117","title":"Publications Received","year":2012,"lang":"en","type":"article","venue":"Computational Linguistics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","score_opus":0.04609064291162508,"score_gpt":0.3010136732916446,"score_spread":0.2549230303800195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245430175","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00047135545,0.009190298,0.0013743822,0.006729559,0.023295024,0.00021835993,0.008739651,0.0024783972,0.94750303],"genre_scores_gemma":[0.001472327,0.0056992876,0.00087993994,0.002443935,0.0028527165,0.000085400934,0.0066472394,0.0010183802,0.9789008],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962302,0.00030412825,0.00031800923,0.0007400173,0.0020996518,0.00030790197],"domain_scores_gemma":[0.9931379,0.0005668585,0.0003459083,0.0009753671,0.003715839,0.0012580787],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016599906,0.0018477961,0.0019415332,0.0047878684,0.0022311711,0.016974779,0.002450981,0.0033735025,0.80491704],"category_scores_gemma":[0.009736205,0.00079752563,0.0012864316,0.006438709,0.0009579335,0.00797632,0.0045500514,0.003489423,0.8368673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024028968,0.000027070579,0.000117668205,0.00038218818,0.000007060631,0.0000727725,0.00005024279,0.00004646934,0.00020159791,0.004420797,0.9026265,0.0920236],"study_design_scores_gemma":[0.0000035012183,0.000008315246,0.00011586396,0.00011871162,0.0000022144773,0.00006833262,0.000027473767,0.000012716449,0.00004625266,0.000744416,0.9988471,0.000005133316],"about_ca_topic_score_codex":0.0016050532,"about_ca_topic_score_gemma":0.0027115366,"teacher_disagreement_score":0.19508296,"about_ca_system_score_codex":0.002228146,"about_ca_system_score_gemma":0.0039435783,"threshold_uncertainty_score":0.2782622},"labels":[],"label_agreement":null},{"id":"W4245453538","doi":"10.1145/1458484","title":"Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web","year":2008,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology-based data integration; Upper ontology; Information retrieval; Semantic Web; World Wide Web; Ontology; Semantic interoperability; Semantic integration; OWL-S; Semantic Web Stack; Semantic analytics; Interoperability; Open Biomedical Ontologies","score_opus":0.02608615300048243,"score_gpt":0.25705616522112396,"score_spread":0.23097001222064154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245453538","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010147798,0.11223492,0.41054517,0.090434834,0.086857624,0.0011692788,0.0021796112,0.0026190502,0.2838117],"genre_scores_gemma":[0.0855789,0.11545316,0.29632556,0.017549345,0.029166069,0.0015051252,0.012697492,0.003157117,0.4385672],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99413496,0.002325252,0.00059450575,0.0007105479,0.0018013623,0.00043345746],"domain_scores_gemma":[0.99555486,0.0017223187,0.0001613233,0.0007538805,0.0012753871,0.00053228164],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008517921,0.0014884456,0.0016157089,0.0021924295,0.0014712933,0.010211141,0.002806812,0.0037238856,0.027809633],"category_scores_gemma":[0.010539444,0.00088176836,0.0020716153,0.0020098686,0.0029554274,0.012343968,0.0048564607,0.00711021,0.011223157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002834881,0.00038832688,0.00062565075,0.001020177,0.00015201124,0.0006707402,0.002766032,0.0019748136,0.0032869333,0.16649063,0.5079518,0.31438938],"study_design_scores_gemma":[0.000021289608,0.000033135075,0.00033192112,0.00043440203,0.000033048098,0.00023721265,0.00038672457,0.0017388223,0.0006419504,0.03830808,0.9578083,0.00002513299],"about_ca_topic_score_codex":0.004126392,"about_ca_topic_score_gemma":0.0039476394,"teacher_disagreement_score":0.9721904,"about_ca_system_score_codex":0.0028204017,"about_ca_system_score_gemma":0.0045410823,"threshold_uncertainty_score":0.09303242},"labels":[],"label_agreement":null},{"id":"W4245713797","doi":"10.1007/978-1-4939-7131-2_100371","title":"eXtensible Stylesheet Language Transformations","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Programming language","score_opus":0.019927071453004208,"score_gpt":0.24335167018285186,"score_spread":0.22342459872984766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245713797","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030365363,0.00096684415,0.9263528,0.00043366375,0.00062125357,0.00018327111,0.0011594917,0.014715412,0.052530702],"genre_scores_gemma":[0.04568074,0.005259434,0.75942206,0.00062225456,0.00026869352,0.0004309621,0.009283944,0.012138503,0.16689342],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987997,0.00013829768,0.00013696766,0.00017109043,0.0006824312,0.000071481125],"domain_scores_gemma":[0.9991466,0.00024800366,0.000027796035,0.0003747919,0.00017740086,0.000025478827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010506675,0.0014495448,0.0006318023,0.0017840866,0.00056593766,0.0030108388,0.0022580223,0.001024507,0.023827167],"category_scores_gemma":[0.0033101267,0.00091966236,0.0015347726,0.0027022786,0.00082518125,0.0053284457,0.002575363,0.0031819255,0.012098322],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007042171,0.00011342679,0.00016583712,0.00037565696,0.000037815833,0.00024177381,0.00049010356,0.007861552,0.0075940215,0.35815513,0.056298286,0.568596],"study_design_scores_gemma":[0.000030889085,0.000020561229,0.00010346722,0.00024493443,0.000041059033,0.00045249853,0.00008622876,0.0345868,0.015213799,0.26834047,0.68083507,0.00004423446],"about_ca_topic_score_codex":0.0014200122,"about_ca_topic_score_gemma":0.0019527642,"teacher_disagreement_score":0.023827167,"about_ca_system_score_codex":0.0006869471,"about_ca_system_score_gemma":0.00093129027,"threshold_uncertainty_score":0.07970983},"labels":[],"label_agreement":null},{"id":"W4245893772","doi":"10.4018/9781599043371.ch008","title":"Technology Content, Process, and Standards","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Content (measure theory); Process (computing); Process engineering; Computer science; Engineering; Mathematics","score_opus":0.032398131856265444,"score_gpt":0.2597462106852498,"score_spread":0.22734807882898433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245893772","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029157843,0.012172366,0.03621487,0.012332857,0.0009242536,0.00014852194,0.0002694738,0.00036256458,0.9346595],"genre_scores_gemma":[0.24690442,0.051364563,0.07042051,0.00730637,0.0017069057,0.00083092356,0.0019331974,0.001374522,0.6181585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965635,0.001067686,0.00027175227,0.0003828809,0.0015264674,0.00018778331],"domain_scores_gemma":[0.9977133,0.0010642406,0.000120187055,0.00047534177,0.0004849753,0.00014178523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032878034,0.0005842917,0.0005061955,0.003706851,0.0021180876,0.01603783,0.0010536631,0.0028456687,0.013721584],"category_scores_gemma":[0.005966527,0.00044673294,0.00041787888,0.0063905576,0.011220237,0.01884241,0.0030820551,0.0034537006,0.007346609],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046665737,0.000015159909,0.000120646575,0.00013917069,0.0000030165402,0.00003135349,0.0023409675,0.00019717125,0.00016268436,0.9412147,0.013850761,0.041919746],"study_design_scores_gemma":[0.000003364089,0.0000076487095,0.00029951008,0.0004299036,0.000004537137,0.00008117327,0.0012882168,0.00023016997,0.00026109113,0.35896337,0.63842285,0.000008254916],"about_ca_topic_score_codex":0.005150223,"about_ca_topic_score_gemma":0.0029606223,"teacher_disagreement_score":0.01603783,"about_ca_system_score_codex":0.0061258255,"about_ca_system_score_gemma":0.007099184,"threshold_uncertainty_score":0.045903265},"labels":[],"label_agreement":null},{"id":"W4246206397","doi":"10.4018/978-1-4666-2779-6.ch001","title":"A Reference Ontology Based Approach for Service Oriented Semantic Interoperability","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ontology; Computer science; Interoperability; Ontology-based data integration; Upper ontology; Process ontology; Data exchange; Semantic interoperability; Ontology alignment; Service (business); Domain (mathematical analysis); Suggested Upper Merged Ontology; Information retrieval; Software engineering; World Wide Web; Semantic Web","score_opus":0.05269205924784,"score_gpt":0.27026400247956645,"score_spread":0.21757194323172646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246206397","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009469201,0.0016752424,0.9522701,0.0019428843,0.0003493898,0.00017313907,0.00011171749,0.0004871785,0.042043436],"genre_scores_gemma":[0.049467556,0.0052333637,0.9172411,0.001268771,0.0003090825,0.00068366196,0.00088497903,0.00034242118,0.024569076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9963123,0.001154682,0.00035701093,0.0004114692,0.0015849873,0.00017952254],"domain_scores_gemma":[0.9988165,0.00038367274,0.00007804693,0.00031190767,0.00033939857,0.00007057895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034750074,0.0010293508,0.0009244684,0.004594452,0.001851025,0.005568198,0.003605975,0.003486806,0.0047471053],"category_scores_gemma":[0.003776904,0.0006619185,0.0017916952,0.006626203,0.0036984487,0.009523844,0.0035948493,0.005139865,0.0024252164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054462275,0.000027303064,0.00005521633,0.00014608432,0.000023515824,0.00019789122,0.0005185729,0.0023864924,0.0010329089,0.95517266,0.0044213845,0.036012452],"study_design_scores_gemma":[0.000011409207,0.000030790703,0.00012753656,0.00032148205,0.00004345789,0.0006686958,0.00042276498,0.028790874,0.0023196714,0.59792185,0.36929315,0.000048310016],"about_ca_topic_score_codex":0.004638234,"about_ca_topic_score_gemma":0.004414298,"teacher_disagreement_score":0.005568198,"about_ca_system_score_codex":0.003732887,"about_ca_system_score_gemma":0.0034412162,"threshold_uncertainty_score":0.027084112},"labels":[],"label_agreement":null},{"id":"W4246539297","doi":"10.1145/2063576.2064049","title":"PIKM 2011","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Work (physics); Data science; Range (aeronautics); Information retrieval; World Wide Web","score_opus":0.0653525645361112,"score_gpt":0.2212887955132003,"score_spread":0.15593623097708909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246539297","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00483674,0.011110751,0.031966414,0.05638431,0.044764478,0.0008391791,0.025989957,0.013686896,0.8104212],"genre_scores_gemma":[0.011279554,0.0055213682,0.014351426,0.004713273,0.0027683866,0.00041199164,0.033346023,0.0028000847,0.9248079],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971834,0.00051999616,0.0001564367,0.0004524389,0.001256511,0.00043123754],"domain_scores_gemma":[0.99539846,0.00035203982,0.00015764253,0.00058096513,0.0018458642,0.0016650043],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0051983437,0.0008607473,0.00083145685,0.002031284,0.002354588,0.008946893,0.0026124995,0.0032556215,0.23828413],"category_scores_gemma":[0.007884309,0.00061609835,0.00095277483,0.0017138043,0.0006523905,0.004753172,0.0047038943,0.0032172042,0.2631817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007443924,0.00004977969,0.00013721628,0.000116846524,0.0000050696844,0.00006859862,0.000054309876,0.00014951656,0.0005171199,0.004941789,0.9430253,0.050860025],"study_design_scores_gemma":[0.000006764561,0.00001129107,0.00027679405,0.000065358574,0.000002504719,0.000042717722,0.000043065615,0.00015477982,0.00025477735,0.0010159789,0.9981185,0.00000751715],"about_ca_topic_score_codex":0.0052615157,"about_ca_topic_score_gemma":0.012901724,"teacher_disagreement_score":0.7617159,"about_ca_system_score_codex":0.003296252,"about_ca_system_score_gemma":0.006152881,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4246646624","doi":"10.18653/v1/w19-11","title":"Proceedings of the Sixth Workshop on Natural Language and Computer Science","year":2019,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Natural language; Programming language; Mathematics education; Natural language processing; Mathematics","score_opus":0.012493620953880288,"score_gpt":0.25945124424487215,"score_spread":0.24695762329099186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246646624","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00894421,0.056678567,0.260493,0.120822884,0.10286204,0.00071916287,0.007904148,0.004630449,0.4369455],"genre_scores_gemma":[0.03220636,0.02509393,0.10705441,0.009544781,0.011915303,0.00049757934,0.020578643,0.0028512212,0.7902579],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99594814,0.001695025,0.0002685976,0.00051798805,0.0012783908,0.00029186846],"domain_scores_gemma":[0.9928726,0.0025878835,0.00016155827,0.0011573869,0.0021596618,0.0010608829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0077282,0.00088199513,0.0012526566,0.0020025745,0.0013906049,0.008103965,0.0019847807,0.0021093695,0.07613729],"category_scores_gemma":[0.008824183,0.00044565686,0.0010133741,0.0020201039,0.001983538,0.0074295783,0.0036803687,0.0047607454,0.031759348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015949058,0.00013620619,0.00024663683,0.0003765098,0.00002918233,0.00014334118,0.0004995724,0.00030699163,0.002520576,0.026993247,0.7922511,0.17633723],"study_design_scores_gemma":[0.00001127205,0.00001819162,0.00019412908,0.00010640065,0.0000123152195,0.00007955835,0.000120481636,0.00073255174,0.0008682413,0.009724592,0.988122,0.000010369515],"about_ca_topic_score_codex":0.0033825259,"about_ca_topic_score_gemma":0.010805118,"teacher_disagreement_score":0.07613729,"about_ca_system_score_codex":0.0022667062,"about_ca_system_score_gemma":0.0037448513,"threshold_uncertainty_score":0.2547046},"labels":[],"label_agreement":null},{"id":"W4247108637","doi":"10.1007/978-3-540-24840-8_47","title":"Knowledge Provenance","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Provenance; Ontology; Semantics (computer science); Certainty; Relation (database); Semantic Web; Knowledge management; Dependency (UML); Knowledge-based systems; Information retrieval; Artificial intelligence; Data mining; Epistemology; Programming language","score_opus":0.0213873118591734,"score_gpt":0.2571703268964707,"score_spread":0.2357830150372973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247108637","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006117506,0.0021318346,0.6943668,0.005195064,0.0019035103,0.00093774014,0.007266665,0.006089531,0.27599135],"genre_scores_gemma":[0.23364864,0.005693069,0.4727343,0.0016921506,0.0009182498,0.00071870943,0.026275897,0.0026476167,0.25567138],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99573624,0.0008194393,0.00040265557,0.00088584685,0.0019410303,0.0002148002],"domain_scores_gemma":[0.99113995,0.0019671083,0.00021895439,0.004286798,0.0021649878,0.00022223365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003973485,0.00074434595,0.00069134514,0.0037610037,0.0018851354,0.006604065,0.0017667935,0.0014218985,0.040613905],"category_scores_gemma":[0.018654242,0.00075172924,0.0011903986,0.0031985252,0.00171977,0.012149528,0.0045868806,0.0024591333,0.014844383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001739958,0.000108575725,0.00087313086,0.00040798573,0.000050470062,0.00036316342,0.00086673076,0.0028474473,0.0027998497,0.59284925,0.058318168,0.3403412],"study_design_scores_gemma":[0.000026114896,0.000030685034,0.00033749273,0.00024486615,0.00006574971,0.00038843657,0.0003260294,0.00940399,0.0066439533,0.4278479,0.554648,0.000036802972],"about_ca_topic_score_codex":0.005519164,"about_ca_topic_score_gemma":0.00505744,"teacher_disagreement_score":0.040613905,"about_ca_system_score_codex":0.0016880198,"about_ca_system_score_gemma":0.004599067,"threshold_uncertainty_score":0.13586712},"labels":[],"label_agreement":null},{"id":"W4247336327","doi":"10.1007/978-1-4939-7131-2_100457","title":"Groups and Communities Discovery","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Geography","score_opus":0.033820710707308056,"score_gpt":0.23115436025481545,"score_spread":0.1973336495475074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247336327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006601797,0.0397634,0.623521,0.013225192,0.0032557175,0.0002957899,0.0013257534,0.0015833837,0.31042802],"genre_scores_gemma":[0.12903418,0.0251509,0.50038165,0.0026017015,0.0031913137,0.0006114987,0.0053903037,0.0013115274,0.3323269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982931,0.0005017164,0.00006854397,0.00042919035,0.0006021768,0.00010525378],"domain_scores_gemma":[0.9983619,0.0008050292,0.00006410694,0.00043893995,0.00022554628,0.000104502156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017240372,0.0009616704,0.0012364144,0.005283679,0.0029188348,0.0056257364,0.0020565249,0.0023946431,0.017411107],"category_scores_gemma":[0.0052526738,0.0006585794,0.0010213475,0.008352713,0.0034745156,0.013190706,0.004826269,0.0025972642,0.008544742],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018195853,0.000024438887,0.0001792145,0.00019554606,0.000024681167,0.000043260115,0.0004472239,0.0014991293,0.00016591238,0.78225195,0.057752326,0.15739816],"study_design_scores_gemma":[0.0000034820814,0.0000030938215,0.00008792628,0.00007398292,0.000008255992,0.00007532699,0.00018303527,0.002786654,0.00022276909,0.8548287,0.14171873,0.00000802054],"about_ca_topic_score_codex":0.002999234,"about_ca_topic_score_gemma":0.00461305,"teacher_disagreement_score":0.017411107,"about_ca_system_score_codex":0.0022779861,"about_ca_system_score_gemma":0.001614421,"threshold_uncertainty_score":0.058245957},"labels":[],"label_agreement":null},{"id":"W4247451185","doi":"10.1007/978-1-4614-6170-8_110112","title":"Text Mining","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.02859458229072314,"score_gpt":0.22940265852823175,"score_spread":0.2008080762375086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247451185","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00679224,0.014306144,0.63783044,0.006655672,0.0027643985,0.0013504704,0.020006647,0.01900346,0.2912906],"genre_scores_gemma":[0.03697575,0.015153178,0.52218044,0.0023902312,0.0018911461,0.0010012819,0.048660323,0.0026592708,0.36908832],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989202,0.00013021813,0.00010735516,0.0003211198,0.00047448496,0.000046565514],"domain_scores_gemma":[0.99854624,0.00053905183,0.000080994156,0.00025652355,0.0005260641,0.00005127834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011108383,0.0012897367,0.000934175,0.006768414,0.0011508128,0.003107711,0.0017440693,0.0008369604,0.04732733],"category_scores_gemma":[0.0038464062,0.00046343644,0.0011687112,0.006486613,0.00057033554,0.0039894083,0.0016414672,0.0011844841,0.05584056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031080006,0.00005515,0.00033951164,0.00048450084,0.00003352998,0.000081946004,0.00010199687,0.0005280264,0.003983547,0.016253358,0.12992124,0.8481862],"study_design_scores_gemma":[0.000016758753,0.000037081907,0.0012471521,0.00041576332,0.000076718854,0.0007060602,0.00021573622,0.010415681,0.016878625,0.060777105,0.9091775,0.000035674115],"about_ca_topic_score_codex":0.0011220702,"about_ca_topic_score_gemma":0.001708509,"teacher_disagreement_score":0.04732733,"about_ca_system_score_codex":0.00063583086,"about_ca_system_score_gemma":0.0014146274,"threshold_uncertainty_score":0.15832573},"labels":[],"label_agreement":null},{"id":"W4247466725","doi":"10.18653/v1/w18-17","title":"Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-12)","year":2018,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"University of Arizona; Bill and Melinda Gates Foundation","keywords":"Computer science; Natural language processing; Graph; Programming language; Artificial intelligence; Theoretical computer science","score_opus":0.03122223650871636,"score_gpt":0.35614527820259156,"score_spread":0.3249230416938752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247466725","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033805345,0.020415943,0.9387774,0.006949692,0.00576408,0.0004597395,0.003689057,0.0103221005,0.010241548],"genre_scores_gemma":[0.030646937,0.017155139,0.86065876,0.0035481711,0.0034313998,0.0013391806,0.022044692,0.008134872,0.053040735],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99176204,0.0041588633,0.0006250345,0.001664672,0.0015127481,0.00027658162],"domain_scores_gemma":[0.9763555,0.014774327,0.0005453793,0.0047814255,0.002696917,0.0008465044],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013341464,0.002654362,0.0027877316,0.0074436255,0.0011628605,0.007096825,0.004107498,0.0032731907,0.045615766],"category_scores_gemma":[0.027079,0.0013960407,0.0040532197,0.0044738497,0.0021395455,0.010289758,0.0050803167,0.005265908,0.026048362],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002806624,0.00037501822,0.0009256081,0.001043838,0.00036103465,0.00029103723,0.00052086037,0.006493572,0.0039918674,0.028140454,0.21862571,0.73895043],"study_design_scores_gemma":[0.0001271488,0.00016705874,0.0023278827,0.0010379043,0.0002126947,0.00056201516,0.00038261063,0.12662506,0.006353643,0.15629047,0.70577836,0.00013517067],"about_ca_topic_score_codex":0.004868311,"about_ca_topic_score_gemma":0.007144507,"teacher_disagreement_score":0.9543842,"about_ca_system_score_codex":0.0021413653,"about_ca_system_score_gemma":0.0023986483,"threshold_uncertainty_score":0.15259993},"labels":[],"label_agreement":null},{"id":"W4247550603","doi":"10.1007/978-1-4939-7131-2_100268","title":"Description Logics SROIQ","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.06175121737028927,"score_gpt":0.23791419489753615,"score_spread":0.17616297752724688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247550603","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020694528,0.009247971,0.7033963,0.0047120564,0.0010054457,0.00014616034,0.0018890542,0.0032155307,0.27431804],"genre_scores_gemma":[0.12227256,0.02246611,0.5441812,0.004275015,0.0013112765,0.0006677787,0.011236942,0.0039426745,0.2896464],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997883,0.00045362505,0.00017590958,0.00035685766,0.0010052054,0.00012530801],"domain_scores_gemma":[0.99904495,0.0004032835,0.00003742033,0.00019583735,0.0002819832,0.00003652453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018718247,0.0010041494,0.000728023,0.0022359937,0.0010553559,0.0047667543,0.0021189353,0.0009715955,0.029220693],"category_scores_gemma":[0.0034262305,0.00072796684,0.0011931146,0.0039146226,0.0020230995,0.008731295,0.0029289243,0.0033993656,0.0116438875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016205042,0.00001379347,0.000032621836,0.00023018055,0.0000113612505,0.00002265779,0.000115508294,0.00070293725,0.00032640522,0.8698278,0.029508835,0.09919168],"study_design_scores_gemma":[0.000009429375,0.00000461759,0.000031355536,0.00011036538,0.000012179694,0.00007037497,0.000050705334,0.0030720762,0.0008686135,0.6786769,0.31708148,0.000011875833],"about_ca_topic_score_codex":0.0038693175,"about_ca_topic_score_gemma":0.0021986437,"teacher_disagreement_score":0.029220693,"about_ca_system_score_codex":0.0025994896,"about_ca_system_score_gemma":0.0019368891,"threshold_uncertainty_score":0.09775299},"labels":[],"label_agreement":null},{"id":"W4247632508","doi":"10.1111/hdi.12612","title":"ISSUE INFORMATION","year":2018,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Internet privacy; Library science; Computer science","score_opus":0.015205571437278423,"score_gpt":0.27427746382126655,"score_spread":0.25907189238398814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247632508","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030895846,0.0012701711,0.001427345,0.003326194,0.012234546,0.00040216369,0.031414535,0.0023307668,0.9472853],"genre_scores_gemma":[0.001176317,0.0011194082,0.0008190648,0.0013254147,0.0018038038,0.00016485712,0.015736291,0.00069124874,0.9771637],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891806,0.00013131404,0.00009920747,0.00020086038,0.00053245417,0.0001181428],"domain_scores_gemma":[0.99657285,0.00048414015,0.00020391868,0.00045913132,0.001346771,0.00093325396],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012850576,0.0014162139,0.001431494,0.0066586286,0.0014129289,0.00795954,0.001696668,0.0022593013,0.90532595],"category_scores_gemma":[0.007272101,0.00052520673,0.0008422615,0.005582842,0.0004863182,0.004013403,0.0025424869,0.0017748583,0.84759784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001567936,0.000028914486,0.000066603054,0.0001683147,0.0000018928082,0.000017254235,0.000012353599,0.000024661305,0.00011321267,0.0017454372,0.9534156,0.04439],"study_design_scores_gemma":[0.000008844195,0.000008250948,0.0001713839,0.000076796656,0.0000020289415,0.000018313962,0.000020991136,0.00004141763,0.00006558038,0.0010298805,0.9985531,0.0000034164364],"about_ca_topic_score_codex":0.0015883491,"about_ca_topic_score_gemma":0.002740994,"teacher_disagreement_score":0.09467405,"about_ca_system_score_codex":0.0010628403,"about_ca_system_score_gemma":0.002804404,"threshold_uncertainty_score":0.13504106},"labels":[],"label_agreement":null},{"id":"W4247939691","doi":"10.1007/978-1-4939-7131-2_100291","title":"Document Representations","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.032342244031151685,"score_gpt":0.2821030973672979,"score_spread":0.2497608533361462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247939691","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003493172,0.0069732037,0.49428216,0.003634001,0.0022550859,0.0005399225,0.01362976,0.016740538,0.4584521],"genre_scores_gemma":[0.04530205,0.016036643,0.32718483,0.0013505765,0.0010540156,0.0005451743,0.054840893,0.0039839973,0.5497018],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99912125,0.00013015098,0.000096159885,0.00019606666,0.0003996787,0.00005669404],"domain_scores_gemma":[0.9989512,0.00021471994,0.00004644096,0.00040503225,0.0003300724,0.00005244909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080625917,0.0011185687,0.00065389124,0.004765232,0.00092941633,0.0063398886,0.0015706223,0.0011223658,0.06939921],"category_scores_gemma":[0.0039992216,0.00047630223,0.000971459,0.0060803806,0.0007576531,0.007280236,0.0020260236,0.0017327928,0.056849927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040755174,0.000063819185,0.00010834125,0.0004011447,0.000020930365,0.00007660202,0.00017443179,0.0012437192,0.0035205826,0.1805037,0.19432078,0.61952513],"study_design_scores_gemma":[0.000008915801,0.000013779097,0.00012234837,0.00017903904,0.000028691578,0.00028401765,0.00009626808,0.004118318,0.0047010654,0.06502906,0.9253987,0.000019842959],"about_ca_topic_score_codex":0.0021127919,"about_ca_topic_score_gemma":0.0020710188,"teacher_disagreement_score":0.06939921,"about_ca_system_score_codex":0.001243702,"about_ca_system_score_gemma":0.0015266736,"threshold_uncertainty_score":0.23216349},"labels":[],"label_agreement":null},{"id":"W4248132674","doi":"10.4018/9781591408451.ch007","title":"Extending Objects to Model Agents","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","score_opus":0.05962825663233302,"score_gpt":0.2743647071744826,"score_spread":0.21473645054214957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248132674","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004432143,0.0049768547,0.9264925,0.0015301667,0.0005727964,0.00021295174,0.0003487173,0.0018806561,0.059553266],"genre_scores_gemma":[0.07181156,0.0076001924,0.87999105,0.00084535015,0.0003483624,0.00068862684,0.0013265625,0.0008849002,0.036503363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981785,0.00070427166,0.00022319605,0.00027532584,0.0004952883,0.00012340322],"domain_scores_gemma":[0.99817085,0.00084713683,0.000120827506,0.0005728326,0.00019366214,0.00009463504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031305307,0.0010081241,0.0006990207,0.0022997884,0.0018357937,0.0058605275,0.0022814567,0.0021782191,0.005881175],"category_scores_gemma":[0.0041597406,0.0008493027,0.0021361317,0.0031406614,0.0034311023,0.0109527875,0.0044081165,0.002994954,0.0026461468],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016687518,0.000025934154,0.00026999848,0.00015427933,0.000016597129,0.00015901419,0.0016810158,0.0044871103,0.0007622781,0.93778324,0.0041764514,0.05046744],"study_design_scores_gemma":[0.000014664166,0.000029560175,0.00012347967,0.00023758477,0.00003535792,0.00027562352,0.00021517795,0.013106442,0.0008915396,0.39010248,0.594938,0.000030039657],"about_ca_topic_score_codex":0.005678253,"about_ca_topic_score_gemma":0.0047505377,"teacher_disagreement_score":0.005881175,"about_ca_system_score_codex":0.0015218178,"about_ca_system_score_gemma":0.0017654747,"threshold_uncertainty_score":0.01967442},"labels":[],"label_agreement":null},{"id":"W4248439715","doi":"10.1002/asi.21269","title":"Comment on Hjørland's concept theory","year":2009,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Library science; Documentation; Computer science; Operations research; Mathematics","score_opus":0.010565391078821467,"score_gpt":0.2708531572484944,"score_spread":0.2602877661696729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248439715","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037770197,0.0008830425,0.0003179814,0.9777389,0.014719411,0.000004890302,0.00008997512,0.000023116228,0.0058449437],"genre_scores_gemma":[0.0123184,0.00092915905,0.0003879588,0.9462747,0.030806134,0.000059978975,0.00006411759,0.000057633264,0.00910181],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99231297,0.0014993524,0.00073744426,0.0017049125,0.002685216,0.0010600812],"domain_scores_gemma":[0.96655977,0.023108577,0.0013271659,0.001208264,0.0066828323,0.0011134187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01114836,0.00096422835,0.0017738407,0.0020698041,0.006647653,0.0048575234,0.005464556,0.037566684,0.01203755],"category_scores_gemma":[0.047837544,0.0010440701,0.00200324,0.0023608115,0.016502935,0.013466368,0.0052366303,0.06415975,0.008280012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004372049,0.000010060307,0.00010720306,0.00006267618,0.000016073212,0.00023285874,0.00082145556,0.00004480192,0.000060699716,0.107345365,0.8890033,0.002251764],"study_design_scores_gemma":[0.00010150149,0.00002430462,0.00080240896,0.00039741775,0.000056119443,0.0004990736,0.0015020769,0.0002979965,0.0003326827,0.15637492,0.83951813,0.00009334095],"about_ca_topic_score_codex":0.024406943,"about_ca_topic_score_gemma":0.019813472,"teacher_disagreement_score":0.037566684,"about_ca_system_score_codex":0.007380972,"about_ca_system_score_gemma":0.0047296234,"threshold_uncertainty_score":0.058958888},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4248678289","doi":"10.1504/ijil.2017.087490","title":"Residency and service towards a standard for representing telecommunications and innovation open data","year":2017,"lang":"en","type":"article","venue":"International Journal of Innovation and Learning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Telecommunications; Measure (data warehouse); Service (business); Telecommunications service; Order (exchange); Knowledge management; Business; Database; Marketing","score_opus":0.17205641526769686,"score_gpt":0.4345725349552608,"score_spread":0.26251611968756394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248678289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009675003,0.0006761358,0.9513165,0.006163825,0.0008200242,0.0007919758,0.005139389,0.0037051097,0.02171197],"genre_scores_gemma":[0.04940593,0.0014488972,0.915761,0.0022329842,0.00029785413,0.0013632661,0.019428497,0.0011446268,0.008916918],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97779363,0.005854638,0.00502005,0.002498186,0.0077665346,0.0010668562],"domain_scores_gemma":[0.97315896,0.0058450056,0.0021487733,0.0073483316,0.009808559,0.0016902926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020754134,0.00077958556,0.0011132626,0.0063293083,0.002805571,0.011787587,0.0028966996,0.0041077305,0.002959228],"category_scores_gemma":[0.03550254,0.0008120017,0.0020309174,0.009620672,0.004434409,0.017217577,0.008425816,0.007848846,0.0033931567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007132804,0.00014128139,0.0019024439,0.00062523695,0.000049750233,0.00023577201,0.0022045732,0.0043380517,0.0032858043,0.88780373,0.026343476,0.07299845],"study_design_scores_gemma":[0.0000383163,0.00007264231,0.001634566,0.0007896066,0.000060905586,0.00048285088,0.0014674922,0.0141118895,0.004785739,0.21681519,0.7596178,0.00012296766],"about_ca_topic_score_codex":0.015904317,"about_ca_topic_score_gemma":0.008430247,"teacher_disagreement_score":0.020754134,"about_ca_system_score_codex":0.005983863,"about_ca_system_score_gemma":0.017825924,"threshold_uncertainty_score":0.10975963},"labels":[],"label_agreement":null},{"id":"W4248867716","doi":"10.1007/978-1-4614-6170-8_100371","title":"eXtensible Stylesheet Language Transformations","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Programming language","score_opus":0.01548913216574722,"score_gpt":0.22953061962428134,"score_spread":0.21404148745853413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248867716","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028710621,0.0009651225,0.930337,0.00037296006,0.0005322425,0.00017912422,0.0010751868,0.014130341,0.04953688],"genre_scores_gemma":[0.044083335,0.0053498396,0.7614683,0.0005806376,0.00023276116,0.00042190214,0.0082974285,0.011506431,0.16805948],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880564,0.00013420748,0.00013872833,0.00016563927,0.0006865125,0.00006926564],"domain_scores_gemma":[0.9992262,0.00023966757,0.000026006626,0.00032406184,0.00016152895,0.000022524338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010166473,0.0014851063,0.000652824,0.001770722,0.0005622708,0.0028811863,0.0023126185,0.0010009119,0.022030322],"category_scores_gemma":[0.002989446,0.0009529668,0.001524308,0.002652749,0.0008379451,0.005072355,0.0023681205,0.0031022453,0.010720664],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000696869,0.00010584829,0.00016306878,0.00036938855,0.00003693593,0.0002465389,0.00050344894,0.008361591,0.007895872,0.34190306,0.05293735,0.58740723],"study_design_scores_gemma":[0.000033219843,0.000022074639,0.00011230693,0.0002698162,0.000041793217,0.00048004644,0.00009163708,0.037972774,0.01679737,0.2604529,0.68367785,0.00004833583],"about_ca_topic_score_codex":0.0016495513,"about_ca_topic_score_gemma":0.0022220004,"teacher_disagreement_score":0.022030322,"about_ca_system_score_codex":0.00070977694,"about_ca_system_score_gemma":0.00087929575,"threshold_uncertainty_score":0.07369876},"labels":[],"label_agreement":null},{"id":"W4248981842","doi":"10.1007/978-1-4939-7131-2_100160","title":"Community Discovery","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.04885151589946985,"score_gpt":0.252764786402902,"score_spread":0.20391327050343216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248981842","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043737637,0.0074669803,0.59193027,0.005313626,0.0018811941,0.0006829911,0.0023037642,0.003740304,0.38230708],"genre_scores_gemma":[0.08145195,0.00944377,0.4822275,0.0011695775,0.0013589932,0.0007070791,0.009850902,0.0015274168,0.41226283],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848926,0.00027620827,0.000064806765,0.00041914883,0.00065339066,0.00009727209],"domain_scores_gemma":[0.9979552,0.00062509626,0.00007207557,0.0006750901,0.0005223617,0.00015012057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016536603,0.00091125176,0.00094461686,0.005388952,0.0028152715,0.0044514574,0.0026436662,0.001595094,0.04278535],"category_scores_gemma":[0.0061225523,0.0005712547,0.0010933138,0.0057847532,0.0012149932,0.008093091,0.004856495,0.0018326855,0.02208459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004273715,0.000073529125,0.00025956606,0.0003663817,0.00003628961,0.000067784466,0.00027764833,0.0017043184,0.0011270762,0.348183,0.14398302,0.50387853],"study_design_scores_gemma":[0.000016071663,0.000017707178,0.0002909732,0.00021522862,0.00003106536,0.000391408,0.0002743717,0.01370957,0.0027580163,0.38502166,0.59724534,0.000028587925],"about_ca_topic_score_codex":0.002458373,"about_ca_topic_score_gemma":0.004401609,"teacher_disagreement_score":0.04278535,"about_ca_system_score_codex":0.0016459706,"about_ca_system_score_gemma":0.0022810174,"threshold_uncertainty_score":0.14313126},"labels":[],"label_agreement":null},{"id":"W4249099197","doi":"10.1007/978-1-4939-7131-2_101290","title":"Subgroup Discovery","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.024017221001382885,"score_gpt":0.228718929644954,"score_spread":0.20470170864357112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249099197","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010852079,0.0027602257,0.679363,0.0032881934,0.0021962775,0.0011887873,0.0039884853,0.0073549524,0.289008],"genre_scores_gemma":[0.10066585,0.004008838,0.5797925,0.0016625673,0.0011414083,0.0008813688,0.015658343,0.0023408593,0.29384822],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998574,0.00021450975,0.00007880084,0.00038598056,0.00059801573,0.00014859618],"domain_scores_gemma":[0.9983752,0.00030165658,0.000057367783,0.00080827315,0.00035262317,0.00010488535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013900013,0.0012089901,0.0013857413,0.002979596,0.0022083046,0.0036814895,0.0025477065,0.0012038397,0.043379474],"category_scores_gemma":[0.0041934317,0.0005211455,0.0018354425,0.0032599522,0.0009890081,0.0046701627,0.0036108454,0.0018424279,0.029613644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016902748,0.000119578595,0.0005650734,0.00033956792,0.00007953393,0.0001242477,0.0002654987,0.0020280427,0.003893632,0.30123124,0.14463288,0.54655164],"study_design_scores_gemma":[0.000046936486,0.000068661815,0.00039508715,0.00016216152,0.000104625484,0.0005480405,0.00041454937,0.019631471,0.010838783,0.43187895,0.53586805,0.0000425745],"about_ca_topic_score_codex":0.0018824491,"about_ca_topic_score_gemma":0.0028882886,"teacher_disagreement_score":0.043379474,"about_ca_system_score_codex":0.0015237877,"about_ca_system_score_gemma":0.0023902468,"threshold_uncertainty_score":0.14511883},"labels":[],"label_agreement":null},{"id":"W4249243701","doi":"10.1145/568798.568801","title":"Design of knowledge-based systems with the ontology-domain-system approach","year":2002,"lang":"en","type":"article","venue":"Proceedings of the 14th international conference on Software engineering and knowledge engineering - SEKE '02","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ontology; Unified Modeling Language; Software engineering; Domain engineering; Reuse; Process ontology; Domain knowledge; Ontology-based data integration; Feature-oriented domain analysis; Upper ontology; Domain analysis; Domain model; Suggested Upper Merged Ontology; Domain (mathematical analysis); Software development; Software; Programming language; Software construction; Engineering","score_opus":0.03187268500287949,"score_gpt":0.21164087569124673,"score_spread":0.17976819068836725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249243701","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004016654,0.0005988653,0.9839552,0.0010157373,0.00007450019,0.00025664683,0.000043723783,0.0002976823,0.0097409645],"genre_scores_gemma":[0.107653305,0.0013063804,0.88462234,0.00037159334,0.00007770404,0.00077126076,0.00025274794,0.000095629846,0.004849015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971757,0.0010725207,0.00030186417,0.0003570774,0.00084729446,0.00024560912],"domain_scores_gemma":[0.9982855,0.00071169005,0.00015701099,0.00030617436,0.0003373634,0.00020230407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004375283,0.0007158417,0.00094423397,0.0013219921,0.0017062536,0.006190525,0.0027370122,0.0027906946,0.0027304098],"category_scores_gemma":[0.005360934,0.0011022121,0.0021002186,0.0016379046,0.0032633767,0.0063341446,0.004955349,0.00245235,0.0011870504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033379565,0.000108343054,0.00044433362,0.00033813692,0.00014890551,0.0004043073,0.0014581565,0.037116844,0.003180704,0.9054216,0.002172339,0.04917292],"study_design_scores_gemma":[0.00013233676,0.00010475711,0.00026448947,0.0003235828,0.00018743597,0.00035788104,0.0005864557,0.17383692,0.0047413935,0.69631195,0.12308112,0.000071727874],"about_ca_topic_score_codex":0.0035884446,"about_ca_topic_score_gemma":0.003843064,"teacher_disagreement_score":0.006190525,"about_ca_system_score_codex":0.0019543439,"about_ca_system_score_gemma":0.0037553443,"threshold_uncertainty_score":0.02313894},"labels":[],"label_agreement":null},{"id":"W4249417077","doi":"10.32920/ryerson.14654637.v1","title":"Organic chemistry synthesis problem as artificial intelligence planning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Planner; Benchmark (surveying); Computer science; Field (mathematics); Organic synthesis; Artificial intelligence; Chemistry; Organic chemistry; Mathematics; Catalysis","score_opus":0.047731386169232476,"score_gpt":0.2847792280651384,"score_spread":0.23704784189590591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249417077","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02361212,0.0007847419,0.8983458,0.0046936297,0.00023086973,0.0003030266,0.00055064727,0.00050142646,0.070977636],"genre_scores_gemma":[0.28983563,0.0016122885,0.67998004,0.0006129322,0.000116312935,0.00035028497,0.00090335583,0.0001269321,0.026462207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992274,0.00029791496,0.000037534755,0.00016329064,0.00020744927,0.00006632196],"domain_scores_gemma":[0.99923193,0.00056103297,0.000052796102,0.00006435014,0.000054310087,0.000035546705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008040545,0.00064818916,0.00047270727,0.00054989965,0.0008418446,0.001814392,0.0011416672,0.0016899133,0.008131352],"category_scores_gemma":[0.0020762763,0.00033342847,0.0009104039,0.0009008367,0.0018798483,0.0027499853,0.0011663695,0.0016993888,0.0006561883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005758048,0.00006058804,0.00022996835,0.00017718895,0.00002810381,0.00020057718,0.00013998058,0.38016483,0.0012330263,0.5663549,0.0052866773,0.04606667],"study_design_scores_gemma":[0.00006668357,0.00004398017,0.00014597514,0.00006115331,0.000028480239,0.00013760624,0.00021302863,0.4623964,0.0023897334,0.48224714,0.052245498,0.000024320072],"about_ca_topic_score_codex":0.007006343,"about_ca_topic_score_gemma":0.00785796,"teacher_disagreement_score":0.008131352,"about_ca_system_score_codex":0.0020566091,"about_ca_system_score_gemma":0.0028318535,"threshold_uncertainty_score":0.02720207},"labels":[],"label_agreement":null},{"id":"W4249602677","doi":"10.4018/978-1-60960-153-9.ch005","title":"A Case Study of Ontology-Driven Development of Intelligent Educational Systems","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University; CBC (Canada)","funders":"","keywords":"Ontology; Computer science; Process ontology; Ontology-based data integration; Software engineering; Upper ontology; Suggested Upper Merged Ontology; Software development; Systems engineering; Software; Engineering; Programming language; Domain knowledge","score_opus":0.07034399669900211,"score_gpt":0.2855087967646457,"score_spread":0.2151648000656436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249602677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62237334,0.0011794377,0.15438998,0.0053611374,0.00015501131,0.0009136937,0.00035163772,0.00050596194,0.21476984],"genre_scores_gemma":[0.8642575,0.00076097203,0.10118252,0.00031730987,0.00002269625,0.00024406634,0.00026071994,0.00014134154,0.03281278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9965654,0.0019246531,0.00013903952,0.00019801836,0.00088772585,0.0002853178],"domain_scores_gemma":[0.99625033,0.0024468598,0.00014888289,0.00039744418,0.00033464053,0.00042173566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003289915,0.0004018191,0.0002998038,0.0010302082,0.0035499884,0.0030247576,0.0015475501,0.002986331,0.0033584198],"category_scores_gemma":[0.0060450146,0.00031378752,0.00067599973,0.0015339691,0.0023484253,0.0029731167,0.0028035599,0.0018424927,0.000707727],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037362598,0.0028013268,0.01701007,0.001017452,0.000101391895,0.062918,0.11903101,0.04461848,0.017376432,0.47973508,0.024768071,0.23024908],"study_design_scores_gemma":[0.00030475587,0.000664848,0.013396634,0.0006663136,0.00010509676,0.016921075,0.06618611,0.11013322,0.027342116,0.08352623,0.6806006,0.00015295995],"about_ca_topic_score_codex":0.007626366,"about_ca_topic_score_gemma":0.013684155,"teacher_disagreement_score":0.007626366,"about_ca_system_score_codex":0.00262662,"about_ca_system_score_gemma":0.0028079492,"threshold_uncertainty_score":0.019057512},"labels":[],"label_agreement":null},{"id":"W4249620630","doi":"10.1002/rth2.12137","title":"ISSUE INFORMATION","year":2019,"lang":"en","type":"paratext","venue":"Research and Practice in Thrombosis and Haemostasis","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Vancouver Coastal Health; Hospital for Sick Children; University of British Columbia; McMaster University; Queen's University; Health Canada; Ottawa Hospital","funders":"","keywords":"Computer science","score_opus":0.16191280717999204,"score_gpt":0.44689810600354524,"score_spread":0.28498529882355317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249620630","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027456475,0.0020308068,0.0012255306,0.007613162,0.025437543,0.0006627728,0.04424482,0.003191398,0.91531944],"genre_scores_gemma":[0.0010710548,0.0021782336,0.0010558654,0.0038154598,0.0048999297,0.00024178972,0.020409914,0.00090624555,0.9654215],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987243,0.00014776115,0.00014705794,0.00020966813,0.00063247245,0.00013879352],"domain_scores_gemma":[0.9943408,0.0007665334,0.00031518514,0.00056269683,0.0025042745,0.0015104976],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013238639,0.0014261276,0.0014568056,0.0045325095,0.0014300538,0.00871215,0.0019187223,0.002881214,0.9149183],"category_scores_gemma":[0.009621495,0.00056177314,0.0011308839,0.00468258,0.000496004,0.0045216423,0.0026618214,0.001998869,0.85705996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001644669,0.000017498265,0.000052983338,0.00027963304,0.000002200463,0.000020107924,0.000011884308,0.000020521538,0.00009294636,0.0011252406,0.957622,0.04073852],"study_design_scores_gemma":[0.000009048799,0.000010035834,0.00013089439,0.000116865056,0.0000016595353,0.00002432904,0.000014885465,0.000015604179,0.000036423287,0.0006107955,0.9990263,0.0000030973556],"about_ca_topic_score_codex":0.0013825794,"about_ca_topic_score_gemma":0.0022736704,"teacher_disagreement_score":0.0850817,"about_ca_system_score_codex":0.0010214341,"about_ca_system_score_gemma":0.0025226981,"threshold_uncertainty_score":0.12135863},"labels":[],"label_agreement":null},{"id":"W4249633567","doi":"10.1109/skg.2007.147","title":"Resolving Quantifier and Number Restriction to Question OWL Ontologies","year":2007,"lang":"en","type":"article","venue":"Third International Conference on Semantics, Knowledge and Grid (SKG 2007)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Quantifier (linguistics); Parsing; Natural language; Question answering; Rank (graph theory); Feature (linguistics); Natural language user interface; Ontology; Artificial intelligence; Information retrieval; Mean reciprocal rank; Natural language processing; Programming language; Mathematics; Linguistics; Combinatorics","score_opus":0.048187320176726084,"score_gpt":0.34384050896514534,"score_spread":0.2956531887884193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249633567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047275644,0.00026163348,0.93504035,0.0012530198,0.00013478672,0.00036422728,0.0012584705,0.009522959,0.0048889713],"genre_scores_gemma":[0.24599649,0.00024958354,0.7417162,0.00081982533,0.00015989486,0.00029225837,0.0037768132,0.0018262656,0.005162619],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9865759,0.0041220365,0.0016395671,0.0018615443,0.0051572304,0.00064368476],"domain_scores_gemma":[0.9725441,0.017666848,0.002277552,0.0033244635,0.0036934186,0.0004936988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009426431,0.0010539406,0.001552065,0.0035456999,0.0019505807,0.0033836514,0.0022700864,0.0017956815,0.0060800803],"category_scores_gemma":[0.033270534,0.0009769589,0.001893989,0.0017313781,0.0018080161,0.008473669,0.0053396,0.0027440495,0.0010726516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093155797,0.0006495736,0.014395441,0.0024346435,0.00037805372,0.0028110957,0.013820299,0.030655548,0.05788387,0.33353293,0.038872994,0.503634],"study_design_scores_gemma":[0.00018233602,0.00016263394,0.005934507,0.00040611185,0.0002182009,0.0021749185,0.004290374,0.39830965,0.074921764,0.27511063,0.23798622,0.00030269157],"about_ca_topic_score_codex":0.010679859,"about_ca_topic_score_gemma":0.013388344,"teacher_disagreement_score":0.010679859,"about_ca_system_score_codex":0.0023828004,"about_ca_system_score_gemma":0.0036499887,"threshold_uncertainty_score":0.04985231},"labels":[],"label_agreement":null},{"id":"W4250218897","doi":"10.7287/peerj-cs.37v0.1/reviews/2","title":"Peer Review #2 of \"Semantic representation of scientific literature: bringing claims, contributions and named entities onto the Linked Open Data cloud (v0.1)\"","year":2015,"lang":"en","type":"peer-review","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cloud computing; Representation (politics); Linked data; Information retrieval; Data science; World Wide Web; Semantic Web; Political science","score_opus":0.14263296215386254,"score_gpt":0.40299754100718116,"score_spread":0.26036457885331865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250218897","genre_codex":"editorial","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030525515,0.010981936,0.016271187,0.1447631,0.67063636,0.005155607,0.009619925,0.005000723,0.13451856],"genre_scores_gemma":[0.020805126,0.023290826,0.016277347,0.039857414,0.18996711,0.0037524193,0.023164991,0.00572383,0.67716086],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9742183,0.0034226268,0.0021751453,0.0020680772,0.01638376,0.0017321854],"domain_scores_gemma":[0.7481648,0.013528313,0.006106724,0.012913615,0.20244554,0.016841115],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.020844266,0.0011928247,0.0025399195,0.0065772757,0.0070670503,0.015781073,0.0057388376,0.007319282,0.28996107],"category_scores_gemma":[0.10401318,0.0010954265,0.00228105,0.0039440054,0.002898904,0.0063440055,0.008856865,0.004509303,0.19982898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059915106,0.0000232714,0.0002378337,0.0013055281,0.000027801876,0.00013181883,0.00009478034,0.0000702097,0.00075122115,0.0016179231,0.95015126,0.04552837],"study_design_scores_gemma":[0.000025252315,0.000019546964,0.0005886718,0.0004707814,0.00001890213,0.000089868285,0.00010005225,0.00023781328,0.00043730525,0.0016163262,0.9963731,0.000022434291],"about_ca_topic_score_codex":0.0032630668,"about_ca_topic_score_gemma":0.0076891533,"teacher_disagreement_score":0.9791557,"about_ca_system_score_codex":0.0035618828,"about_ca_system_score_gemma":0.019237299,"threshold_uncertainty_score":0.9700164},"labels":[],"label_agreement":null},{"id":"W4250270811","doi":"10.1007/978-3-319-12206-9","title":"Conceptual Modeling","year":2014,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Atlanta; Conceptual model; Software engineering; Operations research; Library science; Engineering; Database; History","score_opus":0.026330389011102084,"score_gpt":0.25304330291807664,"score_spread":0.22671291390697457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250270811","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020525248,0.0028039897,0.74195707,0.0027746225,0.0005454494,0.000272648,0.0023035973,0.0032882702,0.24400182],"genre_scores_gemma":[0.09941946,0.008917262,0.59358966,0.001432963,0.00043954796,0.00068117806,0.020322487,0.0018409269,0.27335647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984534,0.00036001383,0.00014962394,0.00037408766,0.00057978136,0.000083145176],"domain_scores_gemma":[0.99889165,0.0002780778,0.000039450955,0.00044536366,0.000297529,0.000047956502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014854869,0.0011958771,0.00068615703,0.0024059182,0.0013003931,0.006491237,0.0023224463,0.0012344627,0.041360512],"category_scores_gemma":[0.0039325575,0.00070072414,0.001637178,0.0031733387,0.0012257992,0.00821061,0.0025548514,0.0022056722,0.020493502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011136986,0.00003072611,0.00010557876,0.00013866198,0.000017227438,0.000053918182,0.00027728896,0.0015811779,0.0005166391,0.8598816,0.026330281,0.111055814],"study_design_scores_gemma":[0.000007411714,0.0000084022495,0.00009522063,0.00013599083,0.000027632246,0.00015587517,0.00017390843,0.009766898,0.0011669596,0.4037737,0.5846753,0.000012662783],"about_ca_topic_score_codex":0.005045407,"about_ca_topic_score_gemma":0.004082145,"teacher_disagreement_score":0.041360512,"about_ca_system_score_codex":0.0020366577,"about_ca_system_score_gemma":0.0024608055,"threshold_uncertainty_score":0.13836473},"labels":[],"label_agreement":null},{"id":"W4250486641","doi":"10.1145/2568388.2568394","title":"HCIR 2013","year":2013,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"","keywords":"Computer science; Event (particle physics); Library science; Digital library; Work (physics); Data science; World Wide Web","score_opus":0.014343968817514622,"score_gpt":0.23271042767851038,"score_spread":0.21836645886099576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250486641","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040040035,0.11512536,0.08772533,0.102875516,0.21387285,0.0019104689,0.01603819,0.019123347,0.43932498],"genre_scores_gemma":[0.007826031,0.058459442,0.023525944,0.022010615,0.031930994,0.0008788878,0.035476033,0.004591004,0.81530106],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947502,0.0009416591,0.0003983993,0.00077959994,0.002444856,0.0006852643],"domain_scores_gemma":[0.9895733,0.0008603966,0.00033194644,0.0011295348,0.005029269,0.003075496],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008884265,0.0019198568,0.0015445865,0.0063989353,0.002786454,0.013352811,0.00339546,0.003845193,0.23195274],"category_scores_gemma":[0.011668546,0.00070103776,0.0013831952,0.0053731594,0.0010297564,0.0069129197,0.005010094,0.0036288057,0.2672374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003507025,0.00006367941,0.00014748506,0.00028759372,0.000009063222,0.000044037686,0.0001110165,0.0000642768,0.0007531515,0.0016165281,0.8821069,0.114761144],"study_design_scores_gemma":[0.0000067529663,0.000029233237,0.00032117992,0.00018057053,0.000007732382,0.00008620886,0.000117852534,0.00008038753,0.00026258625,0.0009474821,0.9979407,0.000019202238],"about_ca_topic_score_codex":0.007290451,"about_ca_topic_score_gemma":0.018936653,"teacher_disagreement_score":0.7680473,"about_ca_system_score_codex":0.0034183671,"about_ca_system_score_gemma":0.005557119,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4250514372","doi":"10.1007/978-1-4939-7131-2_101049","title":"Semantic Web Modeling Language","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Natural language processing; Semantic Web; Semantic Web Rule Language; World Wide Web; Social Semantic Web; Semantic analytics","score_opus":0.029884105536949673,"score_gpt":0.2492045829158149,"score_spread":0.21932047737886523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250514372","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010817541,0.0062041203,0.65706676,0.005283477,0.0024037308,0.00020539334,0.0029949879,0.0047398396,0.32001993],"genre_scores_gemma":[0.03522673,0.023567107,0.3793555,0.004677964,0.0012918828,0.000779039,0.020690799,0.0059829876,0.5284281],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992385,0.00015204368,0.000081624785,0.00012559377,0.00035782083,0.000044405548],"domain_scores_gemma":[0.99949527,0.00018092821,0.000022777576,0.00012718399,0.00014390245,0.000029912278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010003925,0.0014797498,0.0008080998,0.00344304,0.0011374285,0.00493149,0.0017489659,0.0013926579,0.02876401],"category_scores_gemma":[0.0018181215,0.0007513407,0.0010692144,0.0044338494,0.0011397244,0.011071315,0.0024282166,0.0030624282,0.022702456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000123084965,0.000037219343,0.000054994558,0.0002894524,0.000015895572,0.000118909185,0.00030352754,0.0014811116,0.00088133564,0.73031133,0.13977568,0.12671813],"study_design_scores_gemma":[0.0000034098005,0.0000033020033,0.000029077435,0.0001596918,0.00001215974,0.00017345097,0.000065730674,0.0030372986,0.00082562416,0.19154093,0.8041382,0.000011142922],"about_ca_topic_score_codex":0.0028237298,"about_ca_topic_score_gemma":0.0028573421,"teacher_disagreement_score":0.02876401,"about_ca_system_score_codex":0.0013936183,"about_ca_system_score_gemma":0.0021438012,"threshold_uncertainty_score":0.0962252},"labels":[],"label_agreement":null},{"id":"W4250528244","doi":"10.1007/978-1-4614-6170-8_110086","title":"Social Computing","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.03667880042168086,"score_gpt":0.26142775077112385,"score_spread":0.22474895034944298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250528244","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014003732,0.008028441,0.033494852,0.0074074366,0.0014606633,0.00006567374,0.0001954508,0.00033835924,0.94760877],"genre_scores_gemma":[0.0669321,0.0126215685,0.019593809,0.0021471453,0.0020854895,0.00023047933,0.00066343904,0.00033849347,0.89538753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993513,0.00022413336,0.000022915692,0.00009433501,0.00026390355,0.000043400374],"domain_scores_gemma":[0.99960274,0.00016901408,0.00001759844,0.00009771165,0.00007387905,0.00003909478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000594589,0.00074349984,0.00042574556,0.0017762479,0.0015554049,0.0041072094,0.0007125058,0.0013105284,0.04349812],"category_scores_gemma":[0.001687663,0.00025271915,0.000335338,0.002417036,0.0022393377,0.005841813,0.0022547783,0.0012965827,0.016810935],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004537364,0.000015714133,0.00006947717,0.000100431615,0.000006082084,0.000031415035,0.00044096686,0.00025293874,0.0001780681,0.73357975,0.13124724,0.13407335],"study_design_scores_gemma":[0.0000017883214,0.000003859692,0.000095379946,0.00008801927,0.0000029229077,0.00006879638,0.00024177464,0.0005922491,0.00015057568,0.29226783,0.7064823,0.0000044673193],"about_ca_topic_score_codex":0.0015985545,"about_ca_topic_score_gemma":0.002674804,"teacher_disagreement_score":0.04349812,"about_ca_system_score_codex":0.0018405494,"about_ca_system_score_gemma":0.0012569239,"threshold_uncertainty_score":0.14551574},"labels":[],"label_agreement":null},{"id":"W4250781481","doi":"10.12927/cjnl.2007.19463","title":"KUSP: Developing the Science behind Knowledge Translation","year":2007,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Knowledge translation; Translation (biology); Knowledge management; Psychology; Sociology; Nursing; Computer science; Medicine","score_opus":0.437280510959767,"score_gpt":0.3611622576345018,"score_spread":0.07611825332526517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250781481","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036947597,0.0006341566,0.96194506,0.005326904,0.0006646928,0.0004377235,0.0009987522,0.0052678497,0.021030165],"genre_scores_gemma":[0.0783913,0.0022024699,0.8979692,0.001597067,0.0004697283,0.0009820743,0.0051335385,0.0019730786,0.01128154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98660684,0.007828451,0.0013692928,0.0010439329,0.0026139733,0.00053763046],"domain_scores_gemma":[0.9572931,0.025772318,0.0011685862,0.0088383015,0.0060864477,0.0008412581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014450529,0.0012342358,0.0013782162,0.008192682,0.003202969,0.011763112,0.0035387587,0.004365444,0.020884786],"category_scores_gemma":[0.062049318,0.0013775534,0.002476855,0.0078635635,0.0054757316,0.033186812,0.014193849,0.0057014613,0.011293174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093368195,0.00021997858,0.0011624865,0.0011601276,0.00015255662,0.00031268632,0.002551475,0.00341998,0.0014331129,0.6876116,0.025561355,0.27632123],"study_design_scores_gemma":[0.000030580923,0.00003860096,0.00039341822,0.00076404936,0.00005383606,0.0002366382,0.0018231429,0.033128317,0.003413534,0.88375175,0.07631852,0.00004763737],"about_ca_topic_score_codex":0.0031168496,"about_ca_topic_score_gemma":0.002307358,"teacher_disagreement_score":0.020884786,"about_ca_system_score_codex":0.0021784087,"about_ca_system_score_gemma":0.008082234,"threshold_uncertainty_score":0.07642263},"labels":[],"label_agreement":null},{"id":"W4251041288","doi":"10.1007/978-1-4614-6170-8_100219","title":"Community Discovery","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.03777829133607345,"score_gpt":0.23769583424455076,"score_spread":0.1999175429084773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251041288","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044101253,0.0065044546,0.60953546,0.004762161,0.0015090655,0.0007123394,0.0021536096,0.0035188226,0.36689398],"genre_scores_gemma":[0.07953187,0.008256851,0.48894066,0.001045704,0.0010909026,0.0007008568,0.009117541,0.0013874961,0.40992814],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850744,0.00027426356,0.00006294792,0.00039933316,0.0006603051,0.000095685435],"domain_scores_gemma":[0.9981152,0.0005816076,0.00006759319,0.0006032069,0.0004964282,0.00013600526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015905118,0.0008900864,0.000934248,0.0053959154,0.0028495179,0.0042444197,0.0026022,0.0015359721,0.040597096],"category_scores_gemma":[0.0056404537,0.0005692011,0.0010512794,0.005628103,0.001214856,0.007609419,0.004746094,0.00170219,0.020313451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040265844,0.00007037774,0.00027028867,0.00033235425,0.00003499732,0.00006704139,0.0002909572,0.0017414623,0.0011006023,0.34595832,0.13660264,0.51349074],"study_design_scores_gemma":[0.000016873923,0.000018083578,0.00031076692,0.00021532395,0.000030798627,0.00040905247,0.00030749076,0.014906082,0.0029711986,0.39642724,0.5843567,0.000030278343],"about_ca_topic_score_codex":0.0027066732,"about_ca_topic_score_gemma":0.004884469,"teacher_disagreement_score":0.040597096,"about_ca_system_score_codex":0.0016266473,"about_ca_system_score_gemma":0.0022357043,"threshold_uncertainty_score":0.13581085},"labels":[],"label_agreement":null},{"id":"W4251169909","doi":"10.1109/wi-iat.2011.291","title":"A Sorted-Graph Unification Approach to the Semantic Web","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Unification; Computer science; Graph; Semantic Web; World Wide Web; Programming language; Information retrieval; Theoretical computer science","score_opus":0.05710365044918487,"score_gpt":0.23346161197748533,"score_spread":0.17635796152830047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251169909","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034834426,0.00049573247,0.98428625,0.0008004292,0.00017043129,0.000098548255,0.00034182565,0.0013485935,0.008974736],"genre_scores_gemma":[0.08707115,0.0012128621,0.89526856,0.0006024576,0.00027265048,0.0002163008,0.0019234192,0.0008003718,0.012632198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979863,0.00061520626,0.00023718459,0.0004497081,0.00056626374,0.00014526193],"domain_scores_gemma":[0.99775994,0.0006744356,0.000096898955,0.00075415947,0.0005766283,0.00013785835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026384324,0.00069531164,0.0011970054,0.0060520982,0.0029439349,0.005566128,0.0028678295,0.0015699218,0.009161905],"category_scores_gemma":[0.005104911,0.000834062,0.0028706111,0.0072638714,0.0030806826,0.016399555,0.004818898,0.0033471354,0.002477853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002517828,0.00003779495,0.00014231706,0.00007945666,0.000027057602,0.000054173575,0.00028517906,0.0033821098,0.00062243076,0.95001835,0.0027802219,0.0425458],"study_design_scores_gemma":[0.000010111744,0.000008864607,0.00005893166,0.000041681615,0.000039345327,0.000034432735,0.000109108354,0.023352418,0.00082860084,0.95748276,0.018019034,0.000014557037],"about_ca_topic_score_codex":0.009561359,"about_ca_topic_score_gemma":0.011990183,"teacher_disagreement_score":0.009561359,"about_ca_system_score_codex":0.0023851637,"about_ca_system_score_gemma":0.0035511102,"threshold_uncertainty_score":0.030649662},"labels":[],"label_agreement":null},{"id":"W4251303823","doi":"10.1007/978-1-4939-7131-2_100816","title":"Ontology Alignment","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Ontology; Computer science; Philosophy; Epistemology","score_opus":0.030667055184259703,"score_gpt":0.2444696897668066,"score_spread":0.2138026345825469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251303823","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004132432,0.0017143339,0.7357403,0.0015780523,0.0014674864,0.00040327423,0.00249232,0.00731325,0.24515858],"genre_scores_gemma":[0.0679908,0.004352069,0.7282002,0.0012152077,0.00040720552,0.00051591755,0.023095898,0.0044540563,0.16976866],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808806,0.00030175596,0.00019172215,0.00056389434,0.0007258035,0.0001288219],"domain_scores_gemma":[0.9986047,0.00020797506,0.00007546148,0.00055638334,0.0005041536,0.00005130203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014763353,0.001113853,0.0007704646,0.0038679154,0.0020131846,0.004377934,0.0018507572,0.0012237378,0.043723427],"category_scores_gemma":[0.0050497963,0.0006823949,0.0011035564,0.0063971346,0.0009025989,0.0074750776,0.004774594,0.0023649153,0.03817634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057970574,0.000103382175,0.0005089887,0.00031332712,0.00003420499,0.00014248723,0.00042136962,0.0014866524,0.0056786826,0.28669837,0.08709115,0.6174634],"study_design_scores_gemma":[0.000010160253,0.000022706929,0.0004652887,0.00020546219,0.00004244471,0.0005666467,0.00040151505,0.008382525,0.0145657845,0.16380653,0.8115025,0.000028340412],"about_ca_topic_score_codex":0.00218999,"about_ca_topic_score_gemma":0.0026365384,"teacher_disagreement_score":0.043723427,"about_ca_system_score_codex":0.0013020148,"about_ca_system_score_gemma":0.0034994837,"threshold_uncertainty_score":0.14626944},"labels":[],"label_agreement":null},{"id":"W4251346485","doi":"10.24124/2016/bpgub1149","title":"A software system for agent-assisted ontology building","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Mitacs; University of Northern British Columbia","keywords":"Ontology; Computer science; Software engineering; Software deployment; Ontology-based data integration; Upper ontology; Process ontology; Domain knowledge","score_opus":0.026857198796349253,"score_gpt":0.29191066546058714,"score_spread":0.2650534666642379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251346485","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042862343,0.00008074699,0.96224904,0.00025649375,0.00009068452,0.0002712063,0.00020147617,0.022660576,0.009903566],"genre_scores_gemma":[0.05291231,0.0002615157,0.9270261,0.0002241601,0.000055741646,0.0005464539,0.0018802151,0.0025499319,0.014543532],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999166,0.00018499982,0.000107631844,0.00016491002,0.00031865665,0.000057784833],"domain_scores_gemma":[0.99880874,0.00036754383,0.00007156655,0.0004349543,0.00018314853,0.00013412318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002049246,0.0006145648,0.0005949212,0.0011357047,0.0013868706,0.0026585436,0.0023782821,0.0012594165,0.008975417],"category_scores_gemma":[0.0039972034,0.0008240085,0.0010982304,0.0008922818,0.0011881946,0.0045010797,0.003434376,0.0022257385,0.0047436487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033385173,0.00082772644,0.0029110338,0.00057384744,0.00025080203,0.0009012098,0.0027317514,0.026803624,0.03743397,0.33510438,0.06752518,0.52460265],"study_design_scores_gemma":[0.0002596829,0.00018166348,0.0010241497,0.00017717775,0.00013050184,0.00073843356,0.00032036364,0.3327679,0.021161636,0.14388643,0.4992308,0.000121215635],"about_ca_topic_score_codex":0.0020733362,"about_ca_topic_score_gemma":0.0024962374,"teacher_disagreement_score":0.008975417,"about_ca_system_score_codex":0.0007754837,"about_ca_system_score_gemma":0.0018371983,"threshold_uncertainty_score":0.03002578},"labels":[],"label_agreement":null},{"id":"W4251426841","doi":"10.32920/ryerson.14668911.v1","title":"Linked Data Tools","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Semantic Web; Semantic technology; Social Semantic Web; Linked data; The Internet; Semantic Web Stack; World Wide Web; Semantic analytics; Semantic grid; Data science; Data Web; State (computer science); Semantic computing; Web service; Programming language","score_opus":0.2035082777388375,"score_gpt":0.33422263893562537,"score_spread":0.13071436119678786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251426841","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012529372,0.0031827749,0.6617368,0.004050836,0.0011575785,0.0018302319,0.07677168,0.1358342,0.114183016],"genre_scores_gemma":[0.026513368,0.005855201,0.67572904,0.00396015,0.0008657235,0.0033622677,0.21603727,0.022613045,0.045063935],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9875207,0.0028676286,0.002069172,0.0016418018,0.005263437,0.0006372018],"domain_scores_gemma":[0.9774246,0.009535245,0.0012162017,0.0067636934,0.0040051993,0.0010550085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0117975455,0.002585707,0.0022268519,0.01866788,0.003054285,0.015315678,0.0070327227,0.004223127,0.06982962],"category_scores_gemma":[0.051170737,0.0018975151,0.003634945,0.017466133,0.0020316793,0.013979838,0.012508533,0.0046997527,0.056713577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028121143,0.00020963539,0.0013404477,0.0023167552,0.0003709471,0.00076542253,0.0011057039,0.0041475208,0.0018433337,0.38360003,0.3837429,0.22027622],"study_design_scores_gemma":[0.00006705862,0.000018168123,0.00026655756,0.00045705377,0.000050699622,0.00029691888,0.00015820992,0.0046900488,0.002087544,0.16509879,0.8267357,0.00007339658],"about_ca_topic_score_codex":0.005135068,"about_ca_topic_score_gemma":0.0040331366,"teacher_disagreement_score":0.06982962,"about_ca_system_score_codex":0.0024016316,"about_ca_system_score_gemma":0.005909189,"threshold_uncertainty_score":0.2336033},"labels":[],"label_agreement":null},{"id":"W4251803790","doi":"10.32920/ryerson.14640060.v1","title":"A Logic For Decidable Reasoning About Actions","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Situation calculus; Decidability; Axiom; Fragment (logic); Description logic; Operator (biology); Computer science; Projection (relational algebra); Calculus (dental); Theoretical computer science; Mathematics; Algebra over a field; Artificial intelligence; Algorithm; Pure mathematics","score_opus":0.07792155018911166,"score_gpt":0.3298780791020465,"score_spread":0.2519565289129348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251803790","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008086896,0.00054487877,0.97357,0.0014224604,0.00020646749,0.0001613762,0.000467017,0.0013506311,0.014190331],"genre_scores_gemma":[0.24687748,0.0008543143,0.7408573,0.0010850859,0.00042024825,0.00048001384,0.0010511568,0.00027555466,0.008098829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99659806,0.0008779045,0.00036239438,0.0007173828,0.0010191457,0.00042525443],"domain_scores_gemma":[0.9976618,0.0012330837,0.00022340177,0.00039108712,0.00029634367,0.00019425298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033076922,0.0011508343,0.00087727304,0.0018685004,0.0021006055,0.004740655,0.003104535,0.0015262259,0.0048056664],"category_scores_gemma":[0.004537331,0.0011277599,0.0050514354,0.0018672985,0.0046353685,0.008976194,0.0036736797,0.0053148665,0.0012005428],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034625646,0.00003457714,0.00013019281,0.00012992341,0.000046057085,0.00026337724,0.0003583105,0.0072617526,0.002181738,0.97496915,0.0015284321,0.013061839],"study_design_scores_gemma":[0.00004176619,0.000031869848,0.00013065353,0.000052055802,0.000078345,0.00021278554,0.00009766106,0.043410376,0.0022227895,0.930544,0.023130136,0.00004749907],"about_ca_topic_score_codex":0.0061484654,"about_ca_topic_score_gemma":0.004101974,"teacher_disagreement_score":0.0061484654,"about_ca_system_score_codex":0.0029015762,"about_ca_system_score_gemma":0.0024255223,"threshold_uncertainty_score":0.02105248},"labels":[],"label_agreement":null},{"id":"W4251931962","doi":"10.1002/jcop.21805","title":"ISSUE INFORMATION","year":2016,"lang":"en","type":"paratext","venue":"Journal of Community Psychology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Illinois at Chicago; University of Illinois at Urbana-Champaign; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; University of California, Los Angeles; Fairfield University; Wilfrid Laurier University; Georgia State University; Medical Research Council; University of Notre Dame; Johns Hopkins University; Peabody College; DePaul University; University of Missouri; Victoria University; Oklahoma State University; Centers for Disease Control and Prevention; University of Pennsylvania; Yale University; Vanderbilt University; Johns Hopkins Bloomberg School of Public Health; University of Southern California; University at Albany; Case Western Reserve University","keywords":"Citation; Computer science; World Wide Web; Information retrieval; Internet privacy; Library science","score_opus":0.042319530565707364,"score_gpt":0.36285453389474115,"score_spread":0.3205350033290338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251931962","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008387799,0.005584312,0.0019222012,0.01988958,0.048908688,0.0036480082,0.21475536,0.003042793,0.70141035],"genre_scores_gemma":[0.0041168793,0.004712269,0.0035283559,0.013820797,0.01309325,0.0030607793,0.07216146,0.0017024239,0.88380384],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99754554,0.00036124614,0.00033591018,0.00038165096,0.0011116198,0.0002639679],"domain_scores_gemma":[0.985586,0.0026297043,0.00081603153,0.0010409438,0.0060885674,0.003838847],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0033276633,0.0014054974,0.002084702,0.006044052,0.0016727996,0.0096965,0.0028703723,0.0034521339,0.8596246],"category_scores_gemma":[0.019895896,0.0005873593,0.0015186634,0.0052079246,0.0006103706,0.0054181637,0.0035314066,0.002122643,0.69324595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000780017,0.000040195206,0.00010775553,0.00099922,0.000004801136,0.000018109244,0.000022253751,0.00002463482,0.00007457376,0.0020323321,0.950081,0.046517167],"study_design_scores_gemma":[0.00007144381,0.00003558839,0.0006646932,0.0005922165,0.0000086546115,0.000039310453,0.000057534085,0.000028837127,0.000094291805,0.0023579716,0.99603975,0.000009632918],"about_ca_topic_score_codex":0.0012196155,"about_ca_topic_score_gemma":0.002530022,"teacher_disagreement_score":0.14037538,"about_ca_system_score_codex":0.001356664,"about_ca_system_score_gemma":0.004783832,"threshold_uncertainty_score":0.20022833},"labels":[],"label_agreement":null},{"id":"W4252279136","doi":"10.1111/hdi.12610","title":"ISSUE INFORMATION","year":2018,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Internet privacy; Medicine; World Wide Web; Computer science","score_opus":0.015205571437278423,"score_gpt":0.27427746382126655,"score_spread":0.25907189238398814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252279136","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030895846,0.0012701711,0.001427345,0.003326194,0.012234546,0.00040216369,0.031414535,0.0023307668,0.9472853],"genre_scores_gemma":[0.001176317,0.0011194082,0.0008190648,0.0013254147,0.0018038038,0.00016485712,0.015736291,0.00069124874,0.9771637],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891806,0.00013131404,0.00009920747,0.00020086038,0.00053245417,0.0001181428],"domain_scores_gemma":[0.99657285,0.00048414015,0.00020391868,0.00045913132,0.001346771,0.00093325396],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012850576,0.0014162139,0.001431494,0.0066586286,0.0014129289,0.00795954,0.001696668,0.0022593013,0.90532595],"category_scores_gemma":[0.007272101,0.00052520673,0.0008422615,0.005582842,0.0004863182,0.004013403,0.0025424869,0.0017748583,0.84759784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001567936,0.000028914486,0.000066603054,0.0001683147,0.0000018928082,0.000017254235,0.000012353599,0.000024661305,0.00011321267,0.0017454372,0.9534156,0.04439],"study_design_scores_gemma":[0.000008844195,0.000008250948,0.0001713839,0.000076796656,0.0000020289415,0.000018313962,0.000020991136,0.00004141763,0.00006558038,0.0010298805,0.9985531,0.0000034164364],"about_ca_topic_score_codex":0.0015883491,"about_ca_topic_score_gemma":0.002740994,"teacher_disagreement_score":0.09467405,"about_ca_system_score_codex":0.0010628403,"about_ca_system_score_gemma":0.002804404,"threshold_uncertainty_score":0.13504106},"labels":[],"label_agreement":null},{"id":"W4252338566","doi":"10.1007/978-1-4939-7131-2_101339","title":"Text Mining","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.03709351513001855,"score_gpt":0.24392091654036904,"score_spread":0.2068274014103505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252338566","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069648568,0.016088763,0.6041083,0.007749826,0.0035311547,0.0013236458,0.020636946,0.01896782,0.32062864],"genre_scores_gemma":[0.03958983,0.017379895,0.48999536,0.0027348502,0.0023428858,0.001003816,0.051686738,0.0028483528,0.39241827],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891603,0.00013196735,0.00010977119,0.00032666404,0.00046851317,0.000047160338],"domain_scores_gemma":[0.9984611,0.0005558907,0.00008508081,0.0002847162,0.0005555738,0.00005761941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001140595,0.001271863,0.00089929946,0.0066510136,0.001149761,0.0032304784,0.0017233989,0.00087399373,0.049838543],"category_scores_gemma":[0.004151922,0.00045114997,0.0011679155,0.0065900153,0.0005713236,0.004186838,0.0016711178,0.0012517049,0.059193105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032522268,0.000059872455,0.0003409457,0.0005250333,0.00003428353,0.000082521066,0.00010250518,0.0005411724,0.0041008643,0.018255316,0.14357466,0.8323503],"study_design_scores_gemma":[0.000015287715,0.000034026943,0.0010771783,0.00039079352,0.00006964572,0.00061529956,0.00018686392,0.0092832185,0.014808681,0.057983138,0.91550386,0.00003196615],"about_ca_topic_score_codex":0.0010316795,"about_ca_topic_score_gemma":0.0015429901,"teacher_disagreement_score":0.049838543,"about_ca_system_score_codex":0.000649196,"about_ca_system_score_gemma":0.0014556575,"threshold_uncertainty_score":0.16672653},"labels":[],"label_agreement":null},{"id":"W4252518503","doi":"10.4018/978-1-61350-471-0.ch001","title":"Using Ontology Languages for Conceptual Modeling","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Ontology; Domain (mathematical analysis); Domain model; Representation (politics); Rule-based machine translation; Conceptual model; Natural language processing; Semantics (computer science); Grammar; Artificial intelligence; Domain knowledge; Programming language; Linguistics","score_opus":0.09471585715839662,"score_gpt":0.3183786162738973,"score_spread":0.22366275911550068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252518503","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013068342,0.007940275,0.934037,0.006523782,0.000563609,0.00019585488,0.0003263356,0.00066097436,0.0484453],"genre_scores_gemma":[0.044494644,0.014846039,0.91967,0.0025747593,0.00058129523,0.0010900118,0.0013515564,0.0005630814,0.014828683],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933969,0.0034749901,0.0007878146,0.00053781416,0.0015785372,0.00022388504],"domain_scores_gemma":[0.9942405,0.0036870032,0.0003862047,0.00097601424,0.00049760874,0.00021273785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008353562,0.0015865074,0.0011856344,0.0050880737,0.002503705,0.009863901,0.003242066,0.0033941146,0.005590911],"category_scores_gemma":[0.009196634,0.0012078949,0.002690776,0.0069081583,0.009038882,0.019132536,0.005529273,0.0076549426,0.0022223303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002992417,0.00001142072,0.000051668372,0.00015103909,0.000013954206,0.00009252297,0.0012838212,0.0010498654,0.00017549639,0.974836,0.0034663028,0.018864973],"study_design_scores_gemma":[0.000008243593,0.000007111655,0.0000567821,0.00033461684,0.000013462129,0.0001936188,0.0003324168,0.0035260355,0.00026589932,0.79491866,0.20032154,0.000021686375],"about_ca_topic_score_codex":0.0053678285,"about_ca_topic_score_gemma":0.0049820826,"teacher_disagreement_score":0.009863901,"about_ca_system_score_codex":0.0043470315,"about_ca_system_score_gemma":0.0049280375,"threshold_uncertainty_score":0.044178367},"labels":[],"label_agreement":null},{"id":"W4252741181","doi":"10.32920/ryerson.14668911","title":"Linked Data Tools : semantic web for the masses","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Semantic Web; Computer science; Social Semantic Web; Semantic Web Stack; Semantic analytics; Semantic technology; World Wide Web; Linked data; Semantic computing; Data Web; Semantic grid; The Internet; Semantic search; Information retrieval; Data science; Web service","score_opus":0.18790681990598754,"score_gpt":0.3401838099230177,"score_spread":0.15227699001703018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252741181","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002238653,0.009645803,0.85060304,0.020718452,0.0018550575,0.0003633462,0.0033832514,0.01960719,0.09158532],"genre_scores_gemma":[0.07434888,0.021069182,0.8128645,0.008261361,0.0032511211,0.0011329636,0.017000964,0.007433236,0.05463775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946149,0.0017169421,0.0004061514,0.0005074719,0.0024925221,0.00026208532],"domain_scores_gemma":[0.9936707,0.0024085813,0.00029951558,0.0020838578,0.0010292752,0.00050801144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0082206605,0.0013167516,0.0010672158,0.0071594594,0.002326602,0.013360446,0.00291608,0.0042627174,0.01673767],"category_scores_gemma":[0.020242002,0.0009663965,0.0011828549,0.009154601,0.0040996703,0.025914636,0.009752208,0.0045318874,0.010660002],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000516653,0.00004097998,0.0002364888,0.00040449668,0.00004597307,0.00030448858,0.000772125,0.0014637554,0.0008514729,0.76463944,0.08984946,0.14133966],"study_design_scores_gemma":[0.000021218739,0.000008215884,0.000082029386,0.0002971405,0.000012933427,0.00014374657,0.0001566881,0.0036331534,0.0008483312,0.51984316,0.47493136,0.000021933505],"about_ca_topic_score_codex":0.0028718247,"about_ca_topic_score_gemma":0.0020662851,"teacher_disagreement_score":0.01673767,"about_ca_system_score_codex":0.0018766213,"about_ca_system_score_gemma":0.0044001504,"threshold_uncertainty_score":0.05599308},"labels":[],"label_agreement":null},{"id":"W4252773262","doi":"10.1007/978-3-030-23760-8","title":"Computational Intelligence for Semantic Knowledge Management","year":2019,"lang":"en","type":"book","venue":"Studies in computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computational intelligence; Artificial intelligence; Data science; Knowledge management","score_opus":0.11798303985027331,"score_gpt":0.39076444284410183,"score_spread":0.2727814029938285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252773262","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011039592,0.18154071,0.10731854,0.015865013,0.005088737,0.00015608987,0.0005453998,0.0006871174,0.68769443],"genre_scores_gemma":[0.051846016,0.23205872,0.18893014,0.008331058,0.006586156,0.00055151485,0.0033600992,0.0010117062,0.5073246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990094,0.00019031082,0.00007738468,0.00014599458,0.000527956,0.000048969498],"domain_scores_gemma":[0.99918693,0.0004634433,0.000040909556,0.0001472725,0.00012129171,0.00004028595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097549544,0.0012429814,0.0011180115,0.0038761753,0.0010100516,0.00685441,0.0014545269,0.0017420449,0.018508837],"category_scores_gemma":[0.0020819313,0.00065667037,0.0006673867,0.007822037,0.00412706,0.013464741,0.0025510422,0.003633892,0.008101823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049310847,0.000014153005,0.000027745566,0.0003307503,0.000014660105,0.000028436818,0.00014174232,0.0005289845,0.0001718296,0.8295963,0.09060042,0.07854011],"study_design_scores_gemma":[0.0000037184325,0.000002901101,0.000052003114,0.00023841186,0.0000062662407,0.00007774088,0.00006473621,0.0009636744,0.000102823986,0.53471524,0.4637654,0.0000069770695],"about_ca_topic_score_codex":0.0019360246,"about_ca_topic_score_gemma":0.0026090057,"teacher_disagreement_score":0.018508837,"about_ca_system_score_codex":0.0024925536,"about_ca_system_score_gemma":0.002012199,"threshold_uncertainty_score":0.0619182},"labels":[],"label_agreement":null},{"id":"W4252871232","doi":"10.1007/978-3-030-22102-7_19","title":"FunDL","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Philosophy","score_opus":0.02187386086311817,"score_gpt":0.2463141904580935,"score_spread":0.22444032959497534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252871232","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008668517,0.0011388555,0.013073434,0.0020941633,0.0012675062,0.00014181674,0.030413594,0.022594878,0.9284088],"genre_scores_gemma":[0.004862851,0.00084568176,0.0067912764,0.000882061,0.00032157137,0.00019831304,0.02828543,0.007453584,0.95035934],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911374,0.00011619213,0.000050074228,0.00017812976,0.00042620447,0.00011570162],"domain_scores_gemma":[0.99881434,0.000185544,0.000060258808,0.00032179634,0.00039455632,0.00022351315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010136869,0.0013284195,0.00075525406,0.004333263,0.0012130534,0.005336081,0.00202387,0.0016222887,0.74903995],"category_scores_gemma":[0.0035699643,0.0005383152,0.0006190293,0.0023937912,0.00047806025,0.0036365911,0.0035322206,0.0011496394,0.7225404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065548455,0.0000410067,0.0001987156,0.00025880302,0.000008101663,0.000054601995,0.00008629166,0.00013310114,0.0010800648,0.016161527,0.74281317,0.23909909],"study_design_scores_gemma":[0.0000078393505,0.0000048733414,0.000088260436,0.000037949518,0.0000029337855,0.00003486092,0.000018149121,0.00010409355,0.00032470172,0.0024189749,0.9969518,0.0000054403913],"about_ca_topic_score_codex":0.0031723976,"about_ca_topic_score_gemma":0.0037827233,"teacher_disagreement_score":0.74903995,"about_ca_system_score_codex":0.0014418125,"about_ca_system_score_gemma":0.0015966424,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4252873748","doi":"10.1109/wi.2004.10022","title":"ONTOXPL - Intelligent Exploration of OWL Ontologies","year":2005,"lang":"en","type":"article","venue":"IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Semantic reasoner; OWL-S; Ontology; Web Ontology Language; World Wide Web; Description logic; Semantic Web; Information retrieval; Process ontology; Semantic Web Stack; Artificial intelligence","score_opus":0.1629342313404048,"score_gpt":0.35403530898236163,"score_spread":0.19110107764195683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252873748","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007839343,0.00020798513,0.8121385,0.00052547076,0.00010089216,0.0005093528,0.00740142,0.15003228,0.02124465],"genre_scores_gemma":[0.08385816,0.0008877957,0.8155066,0.0009079712,0.0000794703,0.00094673096,0.045069303,0.01869981,0.03404418],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988784,0.00019564734,0.000096969,0.00018159316,0.00057558075,0.000071740615],"domain_scores_gemma":[0.99927026,0.00031917045,0.00004745512,0.0001968022,0.00010239792,0.00006392291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015907246,0.00096111855,0.0005722023,0.0014972272,0.0006621374,0.002729527,0.0017216663,0.0007177708,0.018743765],"category_scores_gemma":[0.0034753247,0.0009294934,0.0013228593,0.0009786683,0.0006515547,0.005138124,0.0050286525,0.0019976804,0.0070499927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006994977,0.00038632768,0.0022234728,0.0012991921,0.00019787937,0.0022617886,0.001646144,0.008637327,0.036022566,0.10856769,0.24933109,0.58872706],"study_design_scores_gemma":[0.00031641778,0.00010904416,0.002185522,0.00029332485,0.00007442466,0.0015241698,0.0005983484,0.18618375,0.04823352,0.13413256,0.6262,0.00014884569],"about_ca_topic_score_codex":0.0023490977,"about_ca_topic_score_gemma":0.0030362802,"teacher_disagreement_score":0.018743765,"about_ca_system_score_codex":0.00060525857,"about_ca_system_score_gemma":0.0010613666,"threshold_uncertainty_score":0.06270409},"labels":[],"label_agreement":null},{"id":"W4253047143","doi":"10.29173/jchla29390","title":"Epistemonikos","year":2018,"lang":"en","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Systematic review; Clinical research; Medicine; Computer science; MEDLINE; Political science; Pathology","score_opus":0.0052444715910196175,"score_gpt":0.2361173976694204,"score_spread":0.23087292607840076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253047143","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008931734,0.014988625,0.71110886,0.044300254,0.003804226,0.0005153164,0.006068096,0.0025284372,0.20775445],"genre_scores_gemma":[0.28627738,0.015832463,0.63696283,0.012947825,0.0045801587,0.002396777,0.007979552,0.0021955324,0.030827498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9585505,0.019027442,0.008411489,0.0059238854,0.006705268,0.0013814588],"domain_scores_gemma":[0.90008646,0.060712475,0.0050660865,0.022997878,0.008422684,0.0027143625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035074253,0.001347298,0.003677221,0.017863724,0.007865342,0.029333213,0.0036596064,0.005139294,0.023791688],"category_scores_gemma":[0.0987057,0.002225296,0.003877628,0.016210657,0.022831496,0.04601985,0.017883353,0.008012168,0.0066671693],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016903923,0.000008483711,0.00020851844,0.00018834442,0.000027561771,0.000030261679,0.000448483,0.00012067396,0.000059345966,0.986264,0.0028576767,0.009769782],"study_design_scores_gemma":[0.000014623964,0.0000052018386,0.00010733638,0.00021825777,0.000022057597,0.00010899207,0.00023723787,0.0004981861,0.0001396257,0.9225987,0.076034695,0.000015019784],"about_ca_topic_score_codex":0.004671304,"about_ca_topic_score_gemma":0.0024849111,"teacher_disagreement_score":0.035074253,"about_ca_system_score_codex":0.00681559,"about_ca_system_score_gemma":0.011511046,"threshold_uncertainty_score":0.18549258},"labels":[],"label_agreement":null},{"id":"W4253424485","doi":"10.1007/978-1-4939-7131-2_101101","title":"Social Computing","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","score_opus":0.0471274035124162,"score_gpt":0.27668739236701745,"score_spread":0.22955998885460124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253424485","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013565038,0.009087711,0.030488841,0.008045377,0.0018951833,0.00006281389,0.00021623135,0.00035312522,0.9484942],"genre_scores_gemma":[0.062442873,0.013856545,0.01746756,0.0023082572,0.0025571445,0.00021637374,0.0007409377,0.00036518447,0.90004504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935704,0.00021768859,0.000022704922,0.00009751441,0.00026049465,0.00004450566],"domain_scores_gemma":[0.99956995,0.00018127111,0.000018369083,0.0001081206,0.000078284625,0.000043996446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006119536,0.00077325373,0.00042900105,0.0018327938,0.0015799723,0.004359024,0.00072319875,0.0013574376,0.046982452],"category_scores_gemma":[0.0017957629,0.00025080435,0.00035799528,0.0025956526,0.002165321,0.0061633023,0.0023360748,0.0013829634,0.019630302],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049096934,0.000016725473,0.000068386405,0.000114296774,0.0000062061913,0.000030862644,0.00042740465,0.00024249552,0.0001890092,0.7169037,0.14881288,0.13318314],"study_design_scores_gemma":[0.0000016747667,0.0000036116458,0.00008801907,0.000086160944,0.0000027096194,0.000062640815,0.0002073545,0.00051065104,0.00013542602,0.25420246,0.7446952,0.0000040890436],"about_ca_topic_score_codex":0.0014561012,"about_ca_topic_score_gemma":0.002401362,"teacher_disagreement_score":0.046982452,"about_ca_system_score_codex":0.0018296065,"about_ca_system_score_gemma":0.0012715008,"threshold_uncertainty_score":0.1571719},"labels":[],"label_agreement":null},{"id":"W4253429657","doi":"10.1515/iupac.85.0713","title":"Reverse Library Search","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; National Research Council Canada","funders":"","keywords":"Terminology; Chemical nomenclature; Mass spectrometry; Chemistry; Standardization; Analytical Chemistry (journal); Information retrieval; Computer science; Chromatography; Organic chemistry","score_opus":0.021241983567329262,"score_gpt":0.38344914849965706,"score_spread":0.3622071649323278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253429657","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017799444,0.00037013018,0.00041377492,0.00018511759,0.00004722766,0.00006968064,0.99055535,0.0018505697,0.00633014],"genre_scores_gemma":[0.0005603436,0.0004491194,0.001453082,0.00019052,0.000015689671,0.00023128012,0.99264926,0.00036992735,0.0040807608],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99635243,0.0005271,0.0008387467,0.0009582302,0.0009002876,0.0004231568],"domain_scores_gemma":[0.9932957,0.0016796107,0.000639341,0.0017435348,0.0023168218,0.0003250108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745173,0.002354226,0.002117199,0.014797651,0.0018258508,0.005026272,0.0031290846,0.0023525916,0.2283935],"category_scores_gemma":[0.016820356,0.0006985682,0.0021720745,0.017915197,0.0007037185,0.004815396,0.00428331,0.0019623272,0.32181922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008292442,0.000021999665,0.0006012975,0.0021133036,0.00003909217,0.00006760172,0.00005327985,0.00011858522,0.00017583904,0.0016602743,0.98274255,0.0123231895],"study_design_scores_gemma":[0.000058988782,0.00001019105,0.00080219354,0.00057829445,0.000024930468,0.000103308696,0.00012321303,0.00020780117,0.00043923725,0.0019278275,0.9957033,0.000020829908],"about_ca_topic_score_codex":0.026278796,"about_ca_topic_score_gemma":0.05250813,"teacher_disagreement_score":0.2283935,"about_ca_system_score_codex":0.003277704,"about_ca_system_score_gemma":0.008028709,"threshold_uncertainty_score":0.7640524},"labels":[],"label_agreement":null},{"id":"W4254297130","doi":"10.1007/978-1-4939-7131-2_101446","title":"W3C Standard RDF Query Language","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"RDF query language; RDF; Computer science; RDF/XML; RDF Schema; Simple Knowledge Organization System; Information retrieval; SPARQL; Query language; Database; World Wide Web; Web search query; Semantic Web; Web query classification; Search engine","score_opus":0.017208735934354537,"score_gpt":0.24672835774868357,"score_spread":0.22951962181432903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254297130","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014096614,0.0075443094,0.5601565,0.0060871704,0.0021693653,0.00081296754,0.025015458,0.013885414,0.38291913],"genre_scores_gemma":[0.014449509,0.028667556,0.45587292,0.006722493,0.0009600811,0.0015234716,0.10728164,0.014166614,0.37035567],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99829715,0.00026460804,0.00020056752,0.00020166652,0.000917973,0.00011804301],"domain_scores_gemma":[0.9988788,0.00034263326,0.000046939076,0.00030805822,0.00036908864,0.000054442702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023761594,0.0014721929,0.0013514394,0.0049773925,0.0013727831,0.005445118,0.0026190558,0.0022551066,0.043181274],"category_scores_gemma":[0.004787118,0.00080044963,0.0013916191,0.00961494,0.0010974031,0.0076015163,0.0030155426,0.0028035387,0.0399728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032047803,0.00006933862,0.00009132391,0.00096640736,0.00003234271,0.00016527629,0.00023919885,0.0022339076,0.0019024581,0.30205098,0.46522242,0.2269943],"study_design_scores_gemma":[0.000006522284,0.0000026684056,0.000047633916,0.00022533856,0.000014670494,0.00015132599,0.00004263801,0.002224115,0.00095277413,0.062055346,0.9342605,0.000016428732],"about_ca_topic_score_codex":0.0142073985,"about_ca_topic_score_gemma":0.014616474,"teacher_disagreement_score":0.043181274,"about_ca_system_score_codex":0.0019385695,"about_ca_system_score_gemma":0.0040594456,"threshold_uncertainty_score":0.14445573},"labels":[],"label_agreement":null},{"id":"W4254542804","doi":"10.1007/978-1-4614-6170-8_100740","title":"Emergent Semantics","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Semantics (computer science); Programming language","score_opus":0.02480382594008102,"score_gpt":0.22719944021663996,"score_spread":0.20239561427655894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254542804","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046524988,0.0022478509,0.1221086,0.004037201,0.00088389975,0.0000666323,0.00029783972,0.0003968192,0.8653087],"genre_scores_gemma":[0.35286728,0.008207158,0.085728824,0.002278841,0.001548301,0.00045536613,0.0018542261,0.0010743096,0.54598576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996183,0.000090553935,0.000022039192,0.00007737544,0.0001563902,0.00003532082],"domain_scores_gemma":[0.99965906,0.00011357755,0.000016698123,0.000105245126,0.000078148376,0.00002730133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047605328,0.00056967814,0.00042131296,0.0011831326,0.0011299794,0.0032073732,0.0006730773,0.0008211209,0.019674152],"category_scores_gemma":[0.0013453779,0.00025394154,0.00049931987,0.00084021257,0.0035270434,0.006073523,0.0020066374,0.0019445589,0.005442054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020486486,0.0000030364217,0.000013320956,0.00001969534,0.0000016477375,0.000009817893,0.000094874435,0.00011646873,0.00010974812,0.9854108,0.0057310346,0.0084874425],"study_design_scores_gemma":[0.000001640476,0.0000016695578,0.000025352992,0.000020072228,0.0000018884627,0.000036793663,0.00007129061,0.00057242054,0.00021900682,0.9194581,0.07958942,0.0000023898647],"about_ca_topic_score_codex":0.00077165966,"about_ca_topic_score_gemma":0.0011587236,"teacher_disagreement_score":0.019674152,"about_ca_system_score_codex":0.0018780875,"about_ca_system_score_gemma":0.0011709767,"threshold_uncertainty_score":0.06581658},"labels":[],"label_agreement":null},{"id":"W4254679254","doi":"10.1007/bfb0036347","title":"Simulation of bibliographic retrieval databases using hyperterms","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Information retrieval; Database","score_opus":0.05749656067956718,"score_gpt":0.298897370226395,"score_spread":0.24140080954682783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254679254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7730212,0.0006069766,0.1994615,0.0020179232,0.00021188667,0.00026445236,0.0021974402,0.0017756219,0.020443005],"genre_scores_gemma":[0.9739246,0.00020514107,0.021105075,0.00011429313,0.000027743663,0.00015214812,0.0006614915,0.00009590884,0.0037135608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883157,0.0005236997,0.00010221378,0.00015947632,0.00021513346,0.00016788342],"domain_scores_gemma":[0.9812707,0.015629457,0.00053517416,0.0008415032,0.0011721533,0.00055113964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019282381,0.0003955337,0.0013508666,0.001472055,0.00091280893,0.0030384634,0.0025270479,0.0024121294,0.009078489],"category_scores_gemma":[0.01881386,0.00086112914,0.00095399603,0.002016455,0.0012589451,0.002819155,0.0015147711,0.0010035555,0.0007567172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021746811,0.00009107821,0.0016394843,0.000045005745,0.000024013505,0.000068634865,0.00009210621,0.9769786,0.0004297486,0.016608616,0.0006274776,0.0031777415],"study_design_scores_gemma":[0.000020387917,0.000009703161,0.000057331887,0.0000031625145,0.0000044528565,0.000006106682,0.000014453697,0.9965456,0.00018336547,0.003037142,0.00011486039,0.000003364162],"about_ca_topic_score_codex":0.024116464,"about_ca_topic_score_gemma":0.01155039,"teacher_disagreement_score":0.024116464,"about_ca_system_score_codex":0.0025117728,"about_ca_system_score_gemma":0.0022538302,"threshold_uncertainty_score":0.047952175},"labels":[],"label_agreement":null},{"id":"W4254833237","doi":"10.1017/cbo9780511546938","title":"Probabilistic Reasoning in Multiagent Systems","year":2002,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Probabilistic logic; Graphical model; Bayesian network; Computer science; Artificial intelligence; Inference; Multi-agent system; Intelligent decision support system; Knowledge representation and reasoning; Intelligent agent; Representation (politics); Machine learning","score_opus":0.028396087882557933,"score_gpt":0.19892019600346608,"score_spread":0.17052410812090815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254833237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002012142,0.20438838,0.4007569,0.02104146,0.0050441157,0.0001274159,0.00033936734,0.0006432388,0.36564705],"genre_scores_gemma":[0.19859304,0.23425946,0.22305495,0.008152863,0.009266915,0.00068446656,0.0013097896,0.00057027896,0.32410824],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99908984,0.00029528033,0.00004243463,0.00009915775,0.0004312506,0.000042105883],"domain_scores_gemma":[0.9988961,0.0008179198,0.000041961637,0.00007318721,0.00013087908,0.000039992454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182984,0.001128826,0.0007410079,0.001129797,0.00091582665,0.0032490306,0.0011733499,0.0017324333,0.008779822],"category_scores_gemma":[0.002710246,0.0006093,0.00071656174,0.0018687084,0.0021496825,0.004168209,0.0013692126,0.003085472,0.0027729757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008500152,0.000021752006,0.00008727129,0.00023777745,0.00003000726,0.000119251934,0.00029035815,0.010278106,0.00013754262,0.8556285,0.07335058,0.059810366],"study_design_scores_gemma":[0.000006038275,0.000007423048,0.00009170591,0.0001238583,0.000009467441,0.000108445056,0.000076019176,0.0104361735,0.000101169375,0.69097286,0.29805675,0.000010082105],"about_ca_topic_score_codex":0.0024165716,"about_ca_topic_score_gemma":0.0021946568,"teacher_disagreement_score":0.008779822,"about_ca_system_score_codex":0.0020140258,"about_ca_system_score_gemma":0.0011519348,"threshold_uncertainty_score":0.02937144},"labels":[],"label_agreement":null},{"id":"W4255177815","doi":"10.28945/914","title":"Openness to Experience: An HCI Experiment","year":2006,"lang":"en","type":"article","venue":"Issues in Informing Science and Information Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Openness to experience; Affect (linguistics); Psychology; Computer science; Human–computer interaction; Social psychology; Communication","score_opus":0.00869470848951143,"score_gpt":0.29502825798154564,"score_spread":0.2863335494920342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255177815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750836,0.0004353216,0.003112023,0.00076331914,0.00018561892,0.0016648852,0.00025675574,0.000110281086,0.018388156],"genre_scores_gemma":[0.9810689,0.00038674232,0.0053668157,0.0012265763,0.00014587438,0.0049522356,0.00025404117,0.00008597442,0.006512816],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9905968,0.0057164845,0.0005457975,0.001284265,0.0011103898,0.00074626977],"domain_scores_gemma":[0.8947251,0.0916921,0.0021309399,0.004969315,0.0025481668,0.0039343373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016320817,0.00087286934,0.001021672,0.0015017327,0.004261983,0.007223638,0.0015541923,0.004201352,0.02145915],"category_scores_gemma":[0.06194212,0.0008616684,0.00065566006,0.0012033376,0.004544571,0.007850331,0.0063561397,0.0033238113,0.0022843468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0117279645,0.024321552,0.017750781,0.0031622455,0.00013368877,0.0016423358,0.82900876,0.0006152358,0.024190363,0.012517054,0.0058307745,0.069099225],"study_design_scores_gemma":[0.021908421,0.08911253,0.120950736,0.0026000568,0.001187356,0.0038383445,0.53057534,0.007842434,0.021649383,0.07360085,0.12548971,0.0012449034],"about_ca_topic_score_codex":0.000763265,"about_ca_topic_score_gemma":0.0008327037,"teacher_disagreement_score":0.02145915,"about_ca_system_score_codex":0.00085115223,"about_ca_system_score_gemma":0.00094489177,"threshold_uncertainty_score":0.086313725},"labels":[],"label_agreement":null},{"id":"W4255185802","doi":"10.17771/pucrio.acad.28780","title":"USER-CENTRIC PREFERENCE-BASED DECISION MAKING","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Preference; Computer science; Human–computer interaction; Data science; Mathematics; Statistics","score_opus":0.04845979451417913,"score_gpt":0.2960871858175578,"score_spread":0.24762739130337863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255185802","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074179076,0.00085095153,0.90545034,0.0017550492,0.00012189999,0.00056521094,0.00046633635,0.0004348557,0.016176308],"genre_scores_gemma":[0.7220565,0.00043197753,0.27361318,0.0002759496,0.00008472552,0.00033443587,0.00046032603,0.00007056044,0.0026722816],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9818139,0.011509011,0.00088224217,0.0015638616,0.0035008981,0.0007299957],"domain_scores_gemma":[0.9761899,0.016856056,0.00088963174,0.0018327007,0.0032882057,0.0009435339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012536895,0.0012539536,0.0019188912,0.0017798886,0.00089852087,0.0038389587,0.002395231,0.001643343,0.0050047366],"category_scores_gemma":[0.02639527,0.0007246203,0.0016120257,0.0029446306,0.0010353437,0.0044390685,0.0017807261,0.0022623343,0.0007879779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027881674,0.0015462117,0.010935735,0.0011557011,0.0012857398,0.00048748127,0.0018498821,0.29477108,0.006468026,0.12857747,0.0144026,0.5357319],"study_design_scores_gemma":[0.0001619046,0.000527315,0.0019052234,0.00008167468,0.00015409433,0.00016233146,0.00044079055,0.8574108,0.0028575202,0.13300385,0.0032051122,0.000089406065],"about_ca_topic_score_codex":0.0038240422,"about_ca_topic_score_gemma":0.007064548,"teacher_disagreement_score":0.012536895,"about_ca_system_score_codex":0.0024690386,"about_ca_system_score_gemma":0.002563175,"threshold_uncertainty_score":0.06630224},"labels":[],"label_agreement":null},{"id":"W4255233508","doi":"10.4242/balisagevol1.levy01","title":"Beyond the Semantic Web: the Semantic Space","year":2009,"lang":"en","type":"article","venue":"Balisage series on markup technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Parsing; Semantics (computer science); Semantic Web; Semantic Web Rule Language; Space (punctuation); Social Semantic Web; Variety (cybernetics); Natural language; Artificial intelligence; World Wide Web; Natural language processing; Semantic analytics; Programming language","score_opus":0.009949442858470403,"score_gpt":0.2247738060855085,"score_spread":0.2148243632270381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255233508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011241459,0.077315755,0.48626667,0.14461991,0.0052759256,0.00024298948,0.0016150916,0.0026732117,0.27074897],"genre_scores_gemma":[0.4326375,0.09163036,0.37365994,0.029180728,0.008436347,0.0007314469,0.0038352276,0.0018986416,0.05798982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9886431,0.005617003,0.00065312255,0.0012252345,0.0032177877,0.0006437129],"domain_scores_gemma":[0.98742247,0.006740516,0.00052166433,0.00294762,0.0013348291,0.0010329239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01009487,0.001158196,0.001787826,0.0059225988,0.0046946476,0.02644896,0.003664196,0.0072986693,0.0085127195],"category_scores_gemma":[0.014970833,0.00083125767,0.0015030168,0.009781922,0.020236181,0.08037509,0.009022722,0.008563944,0.0032110494],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001898257,0.00001273398,0.00012821871,0.00013401131,0.00001637107,0.00009876644,0.00075472787,0.0005274978,0.00017602388,0.97272235,0.0081832325,0.01722708],"study_design_scores_gemma":[0.000005494919,0.0000068067143,0.00006335042,0.00019193672,0.000007538348,0.00010950533,0.00065018417,0.0014123282,0.00016068864,0.8255877,0.17178865,0.000015884496],"about_ca_topic_score_codex":0.0053295353,"about_ca_topic_score_gemma":0.0024852126,"teacher_disagreement_score":0.02644896,"about_ca_system_score_codex":0.0054961275,"about_ca_system_score_gemma":0.006833602,"threshold_uncertainty_score":0.053387403},"labels":[],"label_agreement":null},{"id":"W4255293955","doi":"10.17771/pucrio.acad.15978","title":"GERADOR DE APLICAÇÕES PARA CONSULTAS A BASES RDF/RDFS","year":2010,"lang":"pt","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bibliographical Society of Canada","funders":"","keywords":"RDF Schema; RDF; Computer science; Semantic Web; Reuse; Linked data; Popularity; Set (abstract data type); World Wide Web; Simple Knowledge Organization System; Information retrieval; SPARQL; Programming language; Engineering","score_opus":0.03035046808519145,"score_gpt":0.308012501999865,"score_spread":0.2776620339146736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255293955","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03722911,0.001268875,0.8015875,0.0021592258,0.00051714876,0.00079400145,0.0023101275,0.114357255,0.03977678],"genre_scores_gemma":[0.3477453,0.0019037582,0.5550584,0.0017127035,0.0002915123,0.00064351055,0.009221759,0.014079591,0.06934346],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99463284,0.0010623184,0.00057289196,0.0011458534,0.002160157,0.00042600645],"domain_scores_gemma":[0.9925426,0.0018857477,0.00033580736,0.003233625,0.0017239678,0.00027824755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057091005,0.0018761434,0.0010065832,0.0027873486,0.0017554448,0.005357482,0.0030942159,0.00203964,0.015776614],"category_scores_gemma":[0.013823938,0.0012480387,0.0020316038,0.0021261435,0.0015437161,0.008414752,0.004564575,0.0030346569,0.007793519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017086,0.0008335697,0.014359527,0.0021700659,0.0006091603,0.0034743664,0.0095174,0.01625297,0.05264893,0.1269564,0.099533975,0.6719351],"study_design_scores_gemma":[0.00020206714,0.0002795713,0.0046413476,0.0005745199,0.00050785334,0.0021727018,0.0021816008,0.20160718,0.101164766,0.06316112,0.623217,0.00029030812],"about_ca_topic_score_codex":0.012411505,"about_ca_topic_score_gemma":0.009747784,"teacher_disagreement_score":0.015776614,"about_ca_system_score_codex":0.0020662723,"about_ca_system_score_gemma":0.0025191645,"threshold_uncertainty_score":0.052778006},"labels":[],"label_agreement":null},{"id":"W4255501004","doi":"10.1007/978-1-4939-7131-2_101050","title":"Semantic Web Search","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Semantic search; Semantic Web; World Wide Web; Information retrieval","score_opus":0.042267025647237895,"score_gpt":0.26326013196507336,"score_spread":0.22099310631783547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255501004","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066749095,0.0348376,0.24948888,0.006831018,0.002755746,0.00027014146,0.0038765082,0.004985476,0.6902796],"genre_scores_gemma":[0.10139106,0.049265467,0.17080916,0.003596862,0.002024308,0.0003012624,0.02030196,0.0026703468,0.6496396],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999071,0.00014506109,0.00006294946,0.00014014915,0.0004994806,0.000081275015],"domain_scores_gemma":[0.99943775,0.00021926743,0.000021418227,0.00011873177,0.00016998718,0.000032818756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007709692,0.0009666064,0.0009567569,0.005233221,0.0012634167,0.0047361716,0.0010886597,0.0015390891,0.04335763],"category_scores_gemma":[0.0026279069,0.00046034998,0.0007676526,0.008312877,0.00096136087,0.011623935,0.0027379768,0.0013728576,0.028369408],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060288923,0.00007811973,0.0001814631,0.0007239251,0.000038378297,0.00010527389,0.00019489475,0.0015869753,0.0021692552,0.24759926,0.24040663,0.50685555],"study_design_scores_gemma":[0.00001190851,0.000015368167,0.00021980306,0.00035470727,0.000030883348,0.00049773604,0.00019211647,0.008527406,0.003135632,0.19474746,0.79223883,0.000028189981],"about_ca_topic_score_codex":0.0026401908,"about_ca_topic_score_gemma":0.0037675628,"teacher_disagreement_score":0.04335763,"about_ca_system_score_codex":0.0015787693,"about_ca_system_score_gemma":0.0017175179,"threshold_uncertainty_score":0.14504576},"labels":[],"label_agreement":null},{"id":"W4255533879","doi":"10.4324/9780203361467-19","title":"Networked knowledge","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge management","score_opus":0.03266667743602149,"score_gpt":0.24239121177927167,"score_spread":0.20972453434325017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255533879","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008020195,0.006312937,0.013301534,0.0023583209,0.000824772,0.000062866784,0.0003561089,0.00032572445,0.97565573],"genre_scores_gemma":[0.04690119,0.023480073,0.024713391,0.0023135534,0.001078344,0.00027184654,0.0020644688,0.00035606057,0.89882106],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99920577,0.00014864214,0.000065472654,0.00017788795,0.0003302645,0.000071943316],"domain_scores_gemma":[0.9992537,0.00020531722,0.0000464238,0.00025665658,0.0001460955,0.000091791146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006263249,0.00056629465,0.0004266469,0.0019263304,0.0014236078,0.008134352,0.0015530984,0.0021232865,0.11201633],"category_scores_gemma":[0.0021670784,0.00028409183,0.00033819393,0.0034246189,0.0016780277,0.008614558,0.0046172272,0.0013140586,0.03565127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012042417,0.000018720593,0.00018826126,0.00039834806,0.000012013891,0.0002086911,0.0010612839,0.00062624563,0.00046872816,0.61698633,0.11550656,0.26451278],"study_design_scores_gemma":[0.0000013964046,0.0000036214626,0.00009177877,0.00022108086,0.0000025392578,0.00013301252,0.0001895421,0.00019687526,0.00012511454,0.07011353,0.92891645,0.0000050606877],"about_ca_topic_score_codex":0.0021231924,"about_ca_topic_score_gemma":0.0035409215,"teacher_disagreement_score":0.11201633,"about_ca_system_score_codex":0.0019494578,"about_ca_system_score_gemma":0.0018775844,"threshold_uncertainty_score":0.3747319},"labels":[],"label_agreement":null},{"id":"W4255562362","doi":"10.1111/hdi.12364","title":"ISSUE INFORMATION ‐ TOC","year":2016,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Information retrieval; Computer science; Medicine; Library science","score_opus":0.01373916863328268,"score_gpt":0.2688040358086758,"score_spread":0.2550648671753931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255562362","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066272623,0.0009966244,0.0018369717,0.0051838015,0.012732885,0.00019285928,0.009843711,0.00273572,0.9658147],"genre_scores_gemma":[0.001884199,0.00062151026,0.00036309706,0.0011223969,0.0009910649,0.00003918988,0.0039227745,0.0005659671,0.9904897],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988262,0.00016313544,0.0000770706,0.00017029616,0.0006124232,0.00015088699],"domain_scores_gemma":[0.99654156,0.00067138113,0.00016755075,0.00086529634,0.0011799235,0.00057432125],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016012036,0.0011386952,0.0012119001,0.0044408534,0.0020699264,0.010830503,0.0016886524,0.0028764862,0.8016001],"category_scores_gemma":[0.0067089554,0.0006254975,0.0007610077,0.004296109,0.00089978246,0.0050779,0.0023464821,0.0021701914,0.6941673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029396317,0.000056710458,0.00012360988,0.000095840056,0.000004193878,0.000023385212,0.000021465617,0.000037288937,0.00020696892,0.00421996,0.94585484,0.049326427],"study_design_scores_gemma":[0.0000071158634,0.000008776802,0.00024134986,0.000044727698,0.0000025292331,0.000018741457,0.000025268186,0.000094275136,0.00021019134,0.0010885387,0.99825424,0.0000043649875],"about_ca_topic_score_codex":0.005043318,"about_ca_topic_score_gemma":0.008071771,"teacher_disagreement_score":0.1983999,"about_ca_system_score_codex":0.0021037273,"about_ca_system_score_gemma":0.0033203175,"threshold_uncertainty_score":0.28299332},"labels":[],"label_agreement":null},{"id":"W4255861448","doi":"10.4018/978-1-4666-1743-8","title":"Developments in Natural Intelligence Research and Knowledge Engineering","year":2012,"lang":"en","type":"book","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Natural (archaeology); Computer science; Geography","score_opus":0.059889949541286805,"score_gpt":0.3252365764755703,"score_spread":0.2653466269342835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255861448","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018620973,0.3963556,0.05513408,0.018312233,0.0048015625,0.000084344494,0.00032474328,0.00054089335,0.52258444],"genre_scores_gemma":[0.035870127,0.55487776,0.08664491,0.008516527,0.0076144454,0.00024809214,0.0013840895,0.0005264309,0.30431756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988625,0.00023603474,0.00008431921,0.00014987009,0.0006126451,0.00005464312],"domain_scores_gemma":[0.9979803,0.001408203,0.00006244175,0.000220902,0.00022237355,0.00010576659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016375531,0.00094509975,0.0014151083,0.0039272457,0.0010534704,0.007415881,0.0013886489,0.0020862133,0.019461669],"category_scores_gemma":[0.00311647,0.00053824537,0.0007382094,0.0096378755,0.0046606655,0.017453905,0.0026631157,0.0033574495,0.0074657965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011118356,0.000058545742,0.00009735609,0.0013930311,0.000020904932,0.000064549495,0.00038112636,0.0005710307,0.00039039023,0.5867174,0.11665992,0.29363468],"study_design_scores_gemma":[0.0000041717126,0.000005052878,0.00014654065,0.00033207785,0.000006587883,0.00010105719,0.00014290761,0.0005595763,0.00008559411,0.3053698,0.6932391,0.000007606349],"about_ca_topic_score_codex":0.0019060983,"about_ca_topic_score_gemma":0.0034863206,"teacher_disagreement_score":0.019461669,"about_ca_system_score_codex":0.0026338475,"about_ca_system_score_gemma":0.0024236967,"threshold_uncertainty_score":0.065105736},"labels":[],"label_agreement":null},{"id":"W4255919721","doi":"10.1111/hdi.12619","title":"ISSUE INFORMATION","year":2017,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Internet privacy; Information retrieval; Computer science; World Wide Web","score_opus":0.019545586740041792,"score_gpt":0.28903587943779696,"score_spread":0.26949029269775515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255919721","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031450982,0.0013246196,0.0014091684,0.0031367608,0.011586303,0.00038610437,0.033381935,0.0021445334,0.946316],"genre_scores_gemma":[0.001216621,0.0012646859,0.0008160004,0.0011997621,0.0018234573,0.00015769408,0.017905047,0.0006850138,0.9749316],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882036,0.00013940825,0.00010723832,0.00021220656,0.00059575,0.00012496916],"domain_scores_gemma":[0.9965425,0.0004774525,0.00020933163,0.0004688938,0.0013817721,0.0009200856],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013257078,0.0013987161,0.001422575,0.0071383673,0.0014072325,0.008347505,0.0016587488,0.002203822,0.89097905],"category_scores_gemma":[0.0072936714,0.00052290724,0.0008506711,0.0062036696,0.0005060196,0.0042280788,0.002578129,0.0017424554,0.8301869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015021448,0.000026636326,0.00006912595,0.00016640102,0.0000019106662,0.000017171695,0.00001287922,0.000025569992,0.00011104133,0.0020869295,0.95299166,0.044475812],"study_design_scores_gemma":[0.000007914604,0.000007602506,0.0001703043,0.00007458365,0.000002004483,0.000017958742,0.000020768335,0.000040628238,0.000063774285,0.0010887164,0.9985025,0.0000033184838],"about_ca_topic_score_codex":0.00175657,"about_ca_topic_score_gemma":0.0029584612,"teacher_disagreement_score":0.10902095,"about_ca_system_score_codex":0.0011744798,"about_ca_system_score_gemma":0.0031113902,"threshold_uncertainty_score":0.15550506},"labels":[],"label_agreement":null},{"id":"W4256119157","doi":"10.1145/1189769.1189778","title":"Peer data exchange","year":2006,"lang":"en","type":"article","venue":"ACM Transactions on Database Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data exchange; Tuple; Peer-to-peer; Schema (genetic algorithms); Data sharing; Generalization; Data source; Theoretical computer science; Information retrieval; Distributed computing; World Wide Web","score_opus":0.0697215860345619,"score_gpt":0.28923607189616385,"score_spread":0.21951448586160194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256119157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011753366,0.0030303325,0.8350553,0.0070961784,0.0016913593,0.0014003426,0.0030662478,0.00343111,0.13347587],"genre_scores_gemma":[0.29791114,0.005308218,0.5440571,0.004950394,0.0016051373,0.0019278886,0.014163565,0.0018734593,0.12820306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9871514,0.0032764738,0.0014034563,0.0025881117,0.004486065,0.0010945421],"domain_scores_gemma":[0.98332536,0.0043334984,0.00094189466,0.008292156,0.0024256904,0.0006814611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008101888,0.001024668,0.0014780761,0.0017032672,0.002705371,0.0074287597,0.006299261,0.0029650622,0.037993643],"category_scores_gemma":[0.025501918,0.0007195282,0.0017315098,0.0038623123,0.001912917,0.018629733,0.012749839,0.0032706978,0.011647761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020055329,0.00010682851,0.0013101685,0.00049789937,0.00009301199,0.0004435896,0.0008353336,0.011144841,0.0010944186,0.78591985,0.055302612,0.14305095],"study_design_scores_gemma":[0.00009244546,0.00008378852,0.00029936168,0.0001549779,0.000046461897,0.0007383129,0.00048379696,0.027000275,0.0024853589,0.35530153,0.61325973,0.00005396669],"about_ca_topic_score_codex":0.0026075346,"about_ca_topic_score_gemma":0.0017368873,"teacher_disagreement_score":0.037993643,"about_ca_system_score_codex":0.0021432044,"about_ca_system_score_gemma":0.003359398,"threshold_uncertainty_score":0.12710136},"labels":[],"label_agreement":null},{"id":"W4256552726","doi":"10.1007/978-0-387-39940-9_3164","title":"Nontemporal Semantics","year":2009,"lang":"es","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Semantics (computer science); Computer science; Linguistics; Programming language; Philosophy","score_opus":0.02712396260841518,"score_gpt":0.25488266056497527,"score_spread":0.2277586979565601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256552726","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002654325,0.02128101,0.2386017,0.0036694123,0.0016312541,0.000059685128,0.0011086166,0.0009413078,0.73005265],"genre_scores_gemma":[0.18972248,0.03180058,0.15670805,0.0028428955,0.0024121085,0.0002955542,0.00516419,0.0015406482,0.6095135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995623,0.00010129933,0.000042466196,0.000117802476,0.00014642185,0.000029746892],"domain_scores_gemma":[0.9996197,0.0001459298,0.000019289855,0.00012080872,0.00007655743,0.000017752574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055110647,0.00097450375,0.00063059706,0.0016318905,0.0009652155,0.004425041,0.0010319066,0.0010324888,0.03000611],"category_scores_gemma":[0.0014043382,0.0004932511,0.0007471627,0.0022404438,0.0027597593,0.0076290797,0.0014335396,0.0021798415,0.01020377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000761069,0.00000820625,0.00003452608,0.000076521625,0.000005335154,0.000031002124,0.00014922033,0.00019629089,0.00024701108,0.9492317,0.014761104,0.035251435],"study_design_scores_gemma":[0.0000035484295,0.000003433442,0.000050038132,0.000062080806,0.0000059338818,0.0001084817,0.000045073182,0.00056389725,0.0002757378,0.74151015,0.25736728,0.0000043639143],"about_ca_topic_score_codex":0.0014525349,"about_ca_topic_score_gemma":0.0017694893,"teacher_disagreement_score":0.03000611,"about_ca_system_score_codex":0.0016345045,"about_ca_system_score_gemma":0.0010289482,"threshold_uncertainty_score":0.10038042},"labels":[],"label_agreement":null},{"id":"W4256702025","doi":"10.4018/9781599049410.ch046","title":"Semantic Web Services for Healthcare","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Semantic Web; Social Semantic Web; World Wide Web; Computer science; Web service; Ontology; Web standards; Standardization; Semantic Web Stack; Knowledge management","score_opus":0.03585052806438558,"score_gpt":0.26579874633058675,"score_spread":0.22994821826620118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256702025","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013510059,0.15506203,0.16328959,0.02234071,0.0075277644,0.00038154476,0.0015616145,0.0028635238,0.6456222],"genre_scores_gemma":[0.05714658,0.26252177,0.2531007,0.016442144,0.004499143,0.00096106884,0.0073066703,0.001992644,0.39602926],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984413,0.00038014137,0.000114338945,0.0001514898,0.000781956,0.00013076422],"domain_scores_gemma":[0.9995752,0.00016843564,0.000022521204,0.000076213684,0.00010493504,0.000052674455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012348578,0.0015291389,0.00093234726,0.0028521097,0.0015343787,0.006051645,0.001550362,0.0038442141,0.026570061],"category_scores_gemma":[0.0018994858,0.0004929806,0.0010615491,0.007077652,0.002027778,0.007728342,0.004299451,0.0035690437,0.016833711],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017179751,0.000037809605,0.00006677067,0.0009070676,0.000030963478,0.00022499284,0.00053031766,0.001671596,0.000605121,0.6566808,0.1553763,0.18385112],"study_design_scores_gemma":[0.000004812731,0.0000041227704,0.00003919851,0.0003525831,0.000004521328,0.00015488443,0.0001229563,0.0008561183,0.00010905258,0.1596123,0.8387309,0.000008551993],"about_ca_topic_score_codex":0.0033397153,"about_ca_topic_score_gemma":0.0040025567,"teacher_disagreement_score":0.026570061,"about_ca_system_score_codex":0.0026005383,"about_ca_system_score_gemma":0.0033283734,"threshold_uncertainty_score":0.088885665},"labels":[],"label_agreement":null},{"id":"W4280625649","doi":"10.18280/ria.360214","title":"Procedural Knowledge Mining - A New Method for Extracting Best Practices by Applying Machine Learning on Data Graph","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge graph; Best practice; Scalability; Knowledge extraction; Field (mathematics); Set (abstract data type); Context (archaeology); Asset (computer security); Artificial intelligence; Data science; Data mining; Machine learning; Database; Programming language","score_opus":0.2072467759235263,"score_gpt":0.40470455010665607,"score_spread":0.19745777418312976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280625649","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031391128,0.0002850926,0.9898442,0.0004332093,0.00003538895,0.00037802072,0.001888529,0.0023041652,0.0016922401],"genre_scores_gemma":[0.030356247,0.00038029553,0.9637835,0.0001066583,0.000035015342,0.00040862197,0.0036036663,0.0002178441,0.0011080411],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929952,0.0015462246,0.00090019393,0.0018643196,0.0025180725,0.00017596113],"domain_scores_gemma":[0.9849258,0.008396135,0.0014918107,0.0033835615,0.0015781197,0.00022450618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00452593,0.0016387127,0.0013094229,0.01518725,0.0015494116,0.004248642,0.0031222354,0.0011468802,0.0032278004],"category_scores_gemma":[0.023445817,0.0008581775,0.0029004538,0.013101522,0.002322694,0.007205274,0.0027905353,0.0026617912,0.0016684311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012537894,0.000328229,0.007237686,0.0015762034,0.0003951642,0.00039267537,0.0022996864,0.020906104,0.005570713,0.110233985,0.011890095,0.83904403],"study_design_scores_gemma":[0.000080183076,0.0001643673,0.005015954,0.00076551334,0.00040829595,0.00087105465,0.0016280537,0.36959547,0.02176628,0.46988738,0.12961859,0.00019891291],"about_ca_topic_score_codex":0.008034373,"about_ca_topic_score_gemma":0.012665062,"teacher_disagreement_score":0.01518725,"about_ca_system_score_codex":0.001887432,"about_ca_system_score_gemma":0.0045446553,"threshold_uncertainty_score":0.023935676},"labels":[],"label_agreement":null},{"id":"W4281483236","doi":"10.3390/fi14060161","title":"Charting Past, Present, and Future Research in the Semantic Web and Interoperability","year":2022,"lang":"en","type":"article","venue":"Future Internet","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Simon Fraser University","funders":"","keywords":"Computer science; World Wide Web; Social Semantic Web; Semantic Web Stack; Semantic interoperability; Semantic Web; Interoperability; Semantic analytics; Web standards; Data Web; Information retrieval; The Internet; Web service","score_opus":0.044971108235380974,"score_gpt":0.3104887347306818,"score_spread":0.2655176264953008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281483236","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010223166,0.85539514,0.008736057,0.09883378,0.0024492803,0.000043885524,0.00017961414,0.000078973906,0.02406011],"genre_scores_gemma":[0.1207451,0.8467303,0.016681552,0.00882733,0.0039031245,0.000088307184,0.00030104566,0.000072960895,0.0026502293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98856467,0.0048831524,0.0011189341,0.0011536253,0.0035066279,0.00077300356],"domain_scores_gemma":[0.95081717,0.036085233,0.0033796832,0.002109662,0.0055779987,0.002030311],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.029003985,0.00078627444,0.0015073789,0.024627462,0.003056221,0.021864526,0.0015950022,0.0050494038,0.003722614],"category_scores_gemma":[0.01799785,0.0006017525,0.0011695303,0.048073713,0.017539237,0.046964448,0.0051964354,0.00718745,0.00085541955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013121158,0.00014268224,0.0054464038,0.007699927,0.00015022894,0.00050258555,0.009379609,0.0013392736,0.0015394862,0.6059874,0.021200906,0.34648025],"study_design_scores_gemma":[0.000018681338,0.00012871696,0.00675571,0.01834201,0.00010022709,0.0007024444,0.026463578,0.0020776659,0.0009789021,0.41952062,0.52474475,0.00016672326],"about_ca_topic_score_codex":0.0033311301,"about_ca_topic_score_gemma":0.0035647068,"teacher_disagreement_score":0.97537255,"about_ca_system_score_codex":0.0071984488,"about_ca_system_score_gemma":0.012004042,"threshold_uncertainty_score":0.15338963},"labels":[],"label_agreement":null},{"id":"W4281631609","doi":"10.3233/shti220142","title":"Using Interactive Visual Analytics to Optimize Blood Products Inventory at a Blood Bank","year":2022,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"Canadian Blood Services","keywords":"Dashboard; Audit; Analytics; Computer science; Blood product; Product (mathematics); Visualization; Inventory management; Blood transfusion; Process management; Operations management; Database; Business; Medicine; Data mining; Engineering; Accounting; Surgery","score_opus":0.07814047328667809,"score_gpt":0.3722782023122505,"score_spread":0.29413772902557245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281631609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3776158,0.00055841624,0.54593164,0.0030906955,0.00026576145,0.00062138774,0.0052568987,0.04565775,0.02100165],"genre_scores_gemma":[0.60991347,0.00046054463,0.38171265,0.000276199,0.00005781602,0.0002449939,0.002252562,0.0012307067,0.003851034],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930406,0.00023362537,0.000057876758,0.00012973358,0.00020923177,0.00006552363],"domain_scores_gemma":[0.9947595,0.003559273,0.00037278808,0.00045665287,0.00057658216,0.0002751797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019100623,0.0010380291,0.00036736813,0.0019408144,0.0005018478,0.0027031938,0.00086449296,0.0006490824,0.005002982],"category_scores_gemma":[0.006779027,0.00031468747,0.00046647107,0.0011177852,0.0005287391,0.0020720284,0.0016902746,0.0009225013,0.0006625405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031219553,0.0011923977,0.042581744,0.0018010936,0.00025566653,0.0029148944,0.015757013,0.12424081,0.099985436,0.024077266,0.044145938,0.63992584],"study_design_scores_gemma":[0.00032884083,0.00088307465,0.02815044,0.000618723,0.00023348125,0.0006201189,0.0057555805,0.76997924,0.064950764,0.042548552,0.08560229,0.0003288907],"about_ca_topic_score_codex":0.002372475,"about_ca_topic_score_gemma":0.0037015423,"teacher_disagreement_score":0.005002982,"about_ca_system_score_codex":0.0005187028,"about_ca_system_score_gemma":0.0009109613,"threshold_uncertainty_score":0.016736627},"labels":[],"label_agreement":null},{"id":"W4282027838","doi":"10.3233/shti220143","title":"Medical Workflow Design and Planning Using Node-RED Data Fusion","year":2022,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Workflow; Computer science; Domain (mathematical analysis); Sensor fusion; Node (physics); Syntax; Data mining; Tree (set theory); Artificial intelligence; Data science; Database; Engineering","score_opus":0.17141929242444318,"score_gpt":0.39643028338738273,"score_spread":0.22501099096293956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282027838","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031875656,0.00004863269,0.99324304,0.00022681715,0.00001898999,0.00012728776,0.00032286262,0.0019379056,0.0008868504],"genre_scores_gemma":[0.06237744,0.000107325315,0.93531495,0.00008484425,0.00000867061,0.00016763585,0.0009663139,0.00022838711,0.00074442715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99691343,0.00095200364,0.00045473137,0.0006539647,0.0008917497,0.00013412835],"domain_scores_gemma":[0.99652123,0.0014648282,0.0002925376,0.00067950774,0.0008377256,0.00020414706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006987432,0.000675838,0.00076857634,0.0022902917,0.0009942799,0.0039421082,0.0019331116,0.00091559545,0.002794333],"category_scores_gemma":[0.0097284205,0.00079239975,0.0021513249,0.0021695886,0.0012421588,0.0035884806,0.0036238665,0.0012686924,0.0010117909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004945463,0.00021123876,0.0042412058,0.0007249822,0.00023879256,0.00074275455,0.0033207634,0.5296641,0.013592734,0.14236762,0.010563611,0.29383773],"study_design_scores_gemma":[0.000041076102,0.000049614762,0.00038422848,0.00007383165,0.00006197004,0.000120462915,0.00035840375,0.9042198,0.010184027,0.06064655,0.023804732,0.000055353918],"about_ca_topic_score_codex":0.0075469413,"about_ca_topic_score_gemma":0.00978462,"teacher_disagreement_score":0.0075469413,"about_ca_system_score_codex":0.0020247588,"about_ca_system_score_gemma":0.0035449062,"threshold_uncertainty_score":0.03695357},"labels":[],"label_agreement":null},{"id":"W4283027585","doi":"10.1055/a-1877-9498","title":"Using an Ontology to Derive a Sharable and Interoperable Relational Data Model for Heterogeneous Healthcare Data and Various Applications","year":2022,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Ontology; Interoperability; Semantic interoperability; Data model (GIS); Ontology-based data integration; Semantic heterogeneity; Semantic integration; Semantic data model; Data modeling; Data integration; Semantics (computer science); Information retrieval; Relational database; Relational model; Upper ontology; Data science; Data mining; Database; Semantic Web; World Wide Web; Semantic computing; Artificial intelligence; Programming language","score_opus":0.30774723317323843,"score_gpt":0.4673177514985195,"score_spread":0.15957051832528107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283027585","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002891037,0.00009974035,0.9913789,0.00061674014,0.0000614046,0.00028169766,0.0005003894,0.0011384607,0.003031645],"genre_scores_gemma":[0.02193116,0.00023698337,0.97391176,0.00016996564,0.000014511689,0.0002622424,0.0017682702,0.00027481772,0.0014301812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99543923,0.00094734685,0.0007900503,0.00066223164,0.0019592538,0.00020186795],"domain_scores_gemma":[0.9954763,0.0012244548,0.00032685135,0.0016702382,0.0011581252,0.00014404485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005512828,0.00072367623,0.0006131197,0.0039133644,0.0014503386,0.0050813723,0.002276671,0.0014501993,0.0025299897],"category_scores_gemma":[0.009737943,0.00068393274,0.0033051325,0.0028700952,0.0014538262,0.007228499,0.0038746234,0.0023040508,0.0015867732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011959603,0.00041487927,0.0050298823,0.0010947711,0.00027492963,0.0018589679,0.0037599255,0.04127877,0.025436712,0.56088567,0.017579067,0.34226677],"study_design_scores_gemma":[0.00007981524,0.00012314877,0.0016936541,0.00095923943,0.0002834452,0.0017437548,0.0020595922,0.33370513,0.044190396,0.23443586,0.38049212,0.00023377463],"about_ca_topic_score_codex":0.007517761,"about_ca_topic_score_gemma":0.009411056,"teacher_disagreement_score":0.007517761,"about_ca_system_score_codex":0.002128119,"about_ca_system_score_gemma":0.0055856616,"threshold_uncertainty_score":0.029155016},"labels":[],"label_agreement":null},{"id":"W4283806425","doi":"10.1609/aaai.v36i5.20534","title":"First Order Rewritability in Ontology-Mediated Querying in Horn Description Logics","year":2022,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Datalog; Description logic; Computer science; Rewriting; Ontology; Web Ontology Language; Conjunctive query; Construct (python library); Theoretical computer science; Relational database; Programming language; Semantic Web; Information retrieval","score_opus":0.10003360314563155,"score_gpt":0.28315077481482015,"score_spread":0.18311717166918862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283806425","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018944815,0.00043317763,0.97317916,0.00067356095,0.000055927347,0.00012043359,0.00014229913,0.0004771502,0.0059733554],"genre_scores_gemma":[0.4485992,0.000708004,0.5404895,0.00078790466,0.00017621875,0.00027595926,0.0007041473,0.00039210857,0.007866921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9927412,0.0029904344,0.0005701161,0.0011911473,0.0019368896,0.0005701634],"domain_scores_gemma":[0.9858577,0.009810443,0.0006358522,0.002249123,0.0012017066,0.0002452095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009645019,0.00061741157,0.00084356335,0.0016421902,0.0013217272,0.0039007156,0.002647292,0.0015049673,0.0030254177],"category_scores_gemma":[0.023241935,0.00089593703,0.0026588687,0.0018624832,0.0051452196,0.008202467,0.0042037647,0.0036051665,0.0005480212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006115225,0.00004570959,0.0003072356,0.0001727884,0.000035294997,0.00035568906,0.0014795818,0.023120122,0.0025515838,0.95161563,0.00079390197,0.019461364],"study_design_scores_gemma":[0.000032188593,0.000043381868,0.00010460441,0.000062771716,0.00004761396,0.00016043143,0.00023662524,0.12370078,0.008394508,0.8583463,0.008822258,0.00004853593],"about_ca_topic_score_codex":0.0069619194,"about_ca_topic_score_gemma":0.0051329373,"teacher_disagreement_score":0.009645019,"about_ca_system_score_codex":0.00386423,"about_ca_system_score_gemma":0.0020570778,"threshold_uncertainty_score":0.051008344},"labels":[],"label_agreement":null},{"id":"W4285059196","doi":"10.17705/1jais.00750","title":"How Do Individuals Understand Multiple Conceptual Modeling Scripts?","year":2022,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Scripting language; Computer science; Focus (optics); Domain (mathematical analysis); Completeness (order theory); Human–computer interaction; Cognition; Data science; Psychology; Programming language","score_opus":0.041603263472292325,"score_gpt":0.23187623828543058,"score_spread":0.19027297481313826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285059196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9401713,0.00026716452,0.046325658,0.0013995288,0.000019220275,0.00009169463,0.000056820256,0.00019151927,0.0114771],"genre_scores_gemma":[0.98546463,0.00010705493,0.013648432,0.00018601594,0.00000425569,0.000046133642,0.00006112915,0.00003635666,0.0004460427],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9938399,0.003567057,0.00028841695,0.00089071714,0.0009760673,0.000437794],"domain_scores_gemma":[0.97777367,0.012342464,0.0037126187,0.0033250735,0.0018122836,0.0010338683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00863941,0.0005856471,0.0003873234,0.0010325301,0.0009696698,0.005408662,0.00094230793,0.0016655275,0.0015423703],"category_scores_gemma":[0.045884874,0.00054611434,0.0005616658,0.0006968062,0.0030351502,0.0124294255,0.0024727255,0.0013722308,0.00039545246],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002980084,0.00035315473,0.1710251,0.00042978046,0.00024065073,0.0008389529,0.61403644,0.0033322866,0.015936319,0.044274785,0.002506501,0.14672792],"study_design_scores_gemma":[0.00018203515,0.00071827037,0.13515247,0.0008104625,0.0004365401,0.0029401842,0.46952796,0.07387803,0.013742816,0.25125486,0.050814733,0.00054165104],"about_ca_topic_score_codex":0.0022157582,"about_ca_topic_score_gemma":0.0019812447,"teacher_disagreement_score":0.00863941,"about_ca_system_score_codex":0.0009277668,"about_ca_system_score_gemma":0.0012180802,"threshold_uncertainty_score":0.04569012},"labels":[],"label_agreement":null},{"id":"W4285135231","doi":"10.1007/978-3-031-09593-1_11","title":"Design COVID-19 Ontology: A Healthcare and Safety Perspective","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Ontology; Computer science; RDF; Health care; Coronavirus disease 2019 (COVID-19); Work (physics); Perspective (graphical); Representation (politics); Pandemic; Web Ontology Language; Knowledge management; Data science; World Wide Web; Semantic Web; Medicine; Artificial intelligence","score_opus":0.046398209425217565,"score_gpt":0.302612387080654,"score_spread":0.25621417765543647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285135231","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0121465055,0.0013284876,0.9083148,0.0061937342,0.0005950517,0.0007737351,0.0024954642,0.0011197875,0.067032434],"genre_scores_gemma":[0.1118812,0.0020918997,0.8545043,0.0015033049,0.000165472,0.0006418886,0.0073534627,0.00045473437,0.021403844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976725,0.0006195719,0.0002531812,0.00040788515,0.00078103435,0.00026585898],"domain_scores_gemma":[0.9990054,0.0001799858,0.00008164707,0.00014401336,0.00041919775,0.00016978844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027857465,0.00052188546,0.00039243404,0.0027261802,0.0017221597,0.003907226,0.0015658112,0.0013647616,0.0044087004],"category_scores_gemma":[0.0022147105,0.00040289562,0.0012788988,0.0024160887,0.0016441756,0.0043627196,0.003923269,0.0016740535,0.0015814196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036868616,0.000110908106,0.0016845921,0.00047805664,0.000044138164,0.00070149783,0.0014110494,0.0050396603,0.0053739357,0.8938394,0.020325169,0.0709548],"study_design_scores_gemma":[0.000022322913,0.00003743693,0.00092123135,0.00056708965,0.00007877992,0.0010543236,0.0018190801,0.031828716,0.0050972793,0.1832925,0.7752366,0.000044711247],"about_ca_topic_score_codex":0.012274616,"about_ca_topic_score_gemma":0.009727148,"teacher_disagreement_score":0.012274616,"about_ca_system_score_codex":0.0028388575,"about_ca_system_score_gemma":0.0056376117,"threshold_uncertainty_score":0.024406374},"labels":[],"label_agreement":null},{"id":"W4285154332","doi":"10.1007/978-3-030-53125-6_18","title":"Registration of Geospatial Information Elements","year":2022,"lang":"en","type":"book-chapter","venue":"Springer handbooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Geospatial analysis; Metadata; Geospatial metadata; Cadastre; Computer science; Standardization; Information retrieval; Feature (linguistics); Interoperability; Volunteered geographic information; Geographic information system; Geography; Data element; Database; Data science; World Wide Web; Meta Data Services; Cartography","score_opus":0.018995757148359996,"score_gpt":0.22127825960704475,"score_spread":0.20228250245868476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285154332","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006731296,0.0024622153,0.85372525,0.00062632456,0.0010518477,0.0002508637,0.00291479,0.010366956,0.12187047],"genre_scores_gemma":[0.07015969,0.0064478633,0.72650665,0.00043721622,0.00029140938,0.0002550517,0.019619396,0.004382747,0.17190008],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990128,0.00013089337,0.00009952222,0.00019974526,0.00050636264,0.000050533436],"domain_scores_gemma":[0.9991634,0.00016270552,0.000050579092,0.00045058326,0.00014379348,0.000028972232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000953644,0.00067001453,0.00088243606,0.003269293,0.0007982304,0.0048080664,0.001729132,0.0010557555,0.02333109],"category_scores_gemma":[0.002953871,0.00065645005,0.0008273957,0.0075997785,0.00086226425,0.0041224645,0.00240517,0.001410094,0.021294521],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000890698,0.00007536049,0.0008340963,0.00051903416,0.000040570205,0.0002632804,0.0006953252,0.0043552173,0.017793035,0.24234793,0.05152692,0.68146014],"study_design_scores_gemma":[0.0000138131345,0.000038124268,0.0009934267,0.00020743972,0.000040698185,0.0006917863,0.00040643185,0.014098618,0.027434507,0.07485134,0.88117516,0.000048612732],"about_ca_topic_score_codex":0.0028583098,"about_ca_topic_score_gemma":0.0030461126,"teacher_disagreement_score":0.02333109,"about_ca_system_score_codex":0.0007789095,"about_ca_system_score_gemma":0.0014502965,"threshold_uncertainty_score":0.078050196},"labels":[],"label_agreement":null},{"id":"W4285175408","doi":"10.18653/v1/2022.csrr-1","title":"Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)","year":2022,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Defense Advanced Research Projects Agency; Department of Foreign Affairs and Trade, Australian Government","keywords":"Commonsense reasoning; Computer science; Commonsense knowledge; Representation (politics); Artificial intelligence; Natural language processing; Cognitive science; Knowledge representation and reasoning; Psychology","score_opus":0.028524925487774317,"score_gpt":0.2764844724724678,"score_spread":0.2479595469846935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285175408","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009930714,0.04213626,0.67025876,0.037913937,0.0304609,0.001156479,0.010370269,0.014198994,0.18357375],"genre_scores_gemma":[0.061599065,0.027532915,0.47215846,0.00918714,0.009707154,0.001555804,0.0715094,0.010221787,0.33652827],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99352807,0.0031513711,0.0004247224,0.0010929427,0.0014061461,0.0003967405],"domain_scores_gemma":[0.9860087,0.0063638343,0.00024490443,0.0036237251,0.002566979,0.0011917893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011542314,0.0019889032,0.0026951265,0.003063421,0.0015074228,0.010288641,0.004482278,0.003601573,0.077032134],"category_scores_gemma":[0.018322123,0.0011907779,0.002752272,0.0037747142,0.0022881974,0.012576182,0.007822751,0.00672815,0.03710396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004375164,0.0003895828,0.00026516322,0.0007801924,0.00014662555,0.00032797054,0.0006491867,0.0024645096,0.0025181652,0.045405667,0.6747797,0.27183565],"study_design_scores_gemma":[0.00008415879,0.00006632167,0.0005890631,0.00046932348,0.00008448778,0.0003294281,0.0002775108,0.0101709915,0.0023635905,0.05864453,0.92686975,0.00005079669],"about_ca_topic_score_codex":0.0077828774,"about_ca_topic_score_gemma":0.010214163,"teacher_disagreement_score":0.077032134,"about_ca_system_score_codex":0.0032234692,"about_ca_system_score_gemma":0.0034621845,"threshold_uncertainty_score":0.25769818},"labels":[],"label_agreement":null},{"id":"W4285541111","doi":"10.1007/978-3-030-69698-6_66","title":"Smart Mobility Ontology: Current Trends and Future Directions","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Computer science; Domain (mathematical analysis); Process ontology; Upper ontology; Service (business); Ontology-based data integration; Aviation; Data science; Software engineering; Systems engineering; Engineering; Domain knowledge; Business","score_opus":0.027069185871150526,"score_gpt":0.26860410350761,"score_spread":0.24153491763645946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285541111","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00477859,0.4021464,0.20356973,0.035453044,0.01370613,0.00016591622,0.0015499126,0.00188429,0.33674604],"genre_scores_gemma":[0.030666133,0.57876635,0.20214874,0.0068256133,0.0051463726,0.00020674297,0.00421775,0.000968292,0.17105402],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994547,0.00009679971,0.00005253902,0.000080047066,0.00026893397,0.000046990062],"domain_scores_gemma":[0.9991518,0.00044774,0.000045178367,0.000103824415,0.00016940427,0.00008203261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007432,0.0005887827,0.0007229318,0.0027743182,0.0007572226,0.005673837,0.0014310387,0.0014405169,0.014125687],"category_scores_gemma":[0.0021258309,0.00043776276,0.000616496,0.008619486,0.0016288628,0.015998686,0.0023224587,0.002210119,0.005626273],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014065204,0.000048399917,0.00021870139,0.00079957145,0.000010229552,0.00006078049,0.00027566976,0.0008254397,0.0005138006,0.4190692,0.12325909,0.4549051],"study_design_scores_gemma":[0.000002309948,0.0000048746274,0.00010959385,0.00041676906,0.000008703208,0.00018690964,0.00018373218,0.0012629733,0.00013844702,0.08488167,0.9127938,0.000010141164],"about_ca_topic_score_codex":0.004544457,"about_ca_topic_score_gemma":0.008506905,"teacher_disagreement_score":0.014125687,"about_ca_system_score_codex":0.0024926257,"about_ca_system_score_gemma":0.0031826121,"threshold_uncertainty_score":0.0472551},"labels":[],"label_agreement":null},{"id":"W4285820037","doi":"10.1007/978-3-031-10986-7_13","title":"DISEL: A Language for Specifying DIS-Based Ontologies","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Ontology; Process ontology; Upper ontology; Ontology components; Ontology-based data integration; XML; Programming language; Suggested Upper Merged Ontology; Ontology language; Web Ontology Language; Formalism (music); Syntax; Specification language; Natural language processing; Software engineering; Information retrieval; World Wide Web; Semantic Web","score_opus":0.030523220559942346,"score_gpt":0.2774552344374624,"score_spread":0.24693201387752006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285820037","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013240441,0.00022602113,0.9579525,0.00033697512,0.00013943376,0.00014481597,0.0055542346,0.019083567,0.01523849],"genre_scores_gemma":[0.06362059,0.0016514299,0.83176875,0.0010716134,0.00014072143,0.000945871,0.038475085,0.016066456,0.046259604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986583,0.00026575802,0.0003025388,0.00019290305,0.00046521286,0.000115224495],"domain_scores_gemma":[0.998579,0.0005665233,0.00012335954,0.00031724933,0.00032917812,0.000084771564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015258415,0.0017970701,0.00081501406,0.002414129,0.0011879926,0.005006342,0.0021863615,0.0013418403,0.016713446],"category_scores_gemma":[0.0038911116,0.0016823643,0.0015851024,0.0024463139,0.0013035161,0.007181844,0.003505703,0.002854378,0.009736863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013627607,0.000081570586,0.001131452,0.0011420604,0.00006804774,0.00062596967,0.0015185227,0.009180136,0.0077616163,0.7076819,0.11788503,0.15278742],"study_design_scores_gemma":[0.00003405886,0.000017811706,0.000159097,0.0001536843,0.000039399594,0.0005276239,0.00020734631,0.022139734,0.010460219,0.14389597,0.8222882,0.000076800054],"about_ca_topic_score_codex":0.007198397,"about_ca_topic_score_gemma":0.0117378235,"teacher_disagreement_score":0.016713446,"about_ca_system_score_codex":0.0016404229,"about_ca_system_score_gemma":0.0023707377,"threshold_uncertainty_score":0.055912018},"labels":[],"label_agreement":null},{"id":"W4286469645","doi":"","title":"Computing with Epistemic and Spatial Modalities","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Modalities; Epistemology; Computer science; Sociology; Philosophy; Social science","score_opus":0.018514434018024585,"score_gpt":0.22162441144489226,"score_spread":0.20310997742686768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286469645","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042626034,0.0014904344,0.82018596,0.009498411,0.0008297145,0.00007048456,0.0009295142,0.0011330493,0.12323635],"genre_scores_gemma":[0.82692194,0.0010022538,0.12960565,0.00085062045,0.00067123363,0.00013728357,0.0010751861,0.0002876963,0.039448194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99669904,0.0010125278,0.00023703098,0.00090569805,0.00074164744,0.0004039773],"domain_scores_gemma":[0.99319917,0.00375953,0.00023530742,0.0014388218,0.0010201598,0.00034709022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002804188,0.00076357706,0.0007634382,0.0014119066,0.0024615875,0.0077242074,0.001450224,0.002004555,0.018785503],"category_scores_gemma":[0.013552297,0.0008408509,0.0017173813,0.0022438616,0.00500264,0.01799706,0.005535595,0.0037906617,0.002497527],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003578133,0.000008161932,0.000095090945,0.000025353196,0.0000068697923,0.000031705855,0.00011190634,0.0011404136,0.00022516215,0.99186,0.0011678403,0.0052916873],"study_design_scores_gemma":[0.000007282311,0.0000048167485,0.00006949098,0.000016425409,0.000014546235,0.0000348144,0.00005617567,0.0098968,0.00066155364,0.9804419,0.008786747,0.000009495288],"about_ca_topic_score_codex":0.0037260854,"about_ca_topic_score_gemma":0.003869871,"teacher_disagreement_score":0.018785503,"about_ca_system_score_codex":0.0022444136,"about_ca_system_score_gemma":0.0019857178,"threshold_uncertainty_score":0.0628438},"labels":[],"label_agreement":null},{"id":"W4286517806","doi":"10.18280/ria.360319","title":"Modular Ontology Design: A State-of-Art of Diseases Ontology Modeling and Possible Issue","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ontology; Computer science; Process ontology; Upper ontology; Modular programming; IDEF5; Ontology-based data integration; Interoperability; Software engineering; Ontology components; Open Biomedical Ontologies; Ontology engineering; Reuse; Suggested Upper Merged Ontology; Web Ontology Language; Construct (python library); Ontology language; Semantic Web; World Wide Web; Programming language; Engineering; Domain knowledge","score_opus":0.049198315203080996,"score_gpt":0.2767998193340942,"score_spread":0.2276015041310132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286517806","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030136695,0.020998519,0.957704,0.00922437,0.0004575494,0.00010420472,0.00017232653,0.00046740304,0.0078579355],"genre_scores_gemma":[0.103705406,0.03548438,0.8490865,0.0027483467,0.0015499258,0.0004113248,0.00095034094,0.0005643486,0.0054993466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9911419,0.0034596918,0.0007291585,0.0018137085,0.002563743,0.00029181215],"domain_scores_gemma":[0.98609746,0.0065401327,0.0007302185,0.0043502115,0.0018871767,0.00039477757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013230838,0.0009864395,0.0015375298,0.0037391465,0.0014799999,0.00706947,0.0042805085,0.0026483561,0.0027943554],"category_scores_gemma":[0.01756708,0.0010110254,0.002759446,0.0044299946,0.006468501,0.016004197,0.0051009045,0.004141722,0.0015328375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002981092,0.000061219274,0.00082387606,0.0010874701,0.00011625724,0.0001037131,0.0013483124,0.004876337,0.0010495547,0.78207976,0.007231092,0.20119262],"study_design_scores_gemma":[0.000015235349,0.000044069227,0.00041236394,0.00078596175,0.000081669,0.00041160264,0.00054461346,0.033846553,0.0016148741,0.7444351,0.21774587,0.00006202021],"about_ca_topic_score_codex":0.0034950022,"about_ca_topic_score_gemma":0.0018910563,"teacher_disagreement_score":0.013230838,"about_ca_system_score_codex":0.0033479899,"about_ca_system_score_gemma":0.0040450986,"threshold_uncertainty_score":0.06997222},"labels":[],"label_agreement":null},{"id":"W4286832929","doi":"10.1145/3531130.3533375","title":"Bouncing threads for circular and non-wellfounded proofs -- Towards compositionality with circular proofs (Extended version)","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"Agence Nationale de la Recherche","keywords":"Mathematical proof; Principle of compositionality; Mathematics; Computer science; Calculus (dental); Geometry; Programming language; Artificial intelligence","score_opus":0.01771316710793341,"score_gpt":0.23834227050695628,"score_spread":0.22062910339902286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286832929","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008287401,0.00020121192,0.98394877,0.0005374137,0.00021164415,0.00011458491,0.000069361726,0.0027414437,0.0038882277],"genre_scores_gemma":[0.25260568,0.00037558292,0.73051643,0.0005955308,0.00024215647,0.00031719185,0.00030238656,0.0032882767,0.011756791],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9893371,0.0034746337,0.0011766421,0.0018497865,0.0029291192,0.0012326483],"domain_scores_gemma":[0.94676703,0.030094268,0.0017284694,0.014790857,0.005321236,0.0012980067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014683006,0.0011685243,0.0016846242,0.0015142233,0.0035820736,0.008075124,0.0033423777,0.0028396,0.015475733],"category_scores_gemma":[0.05338041,0.0025194283,0.0038166926,0.0015855551,0.0067418916,0.019165054,0.014537827,0.0065918076,0.0037568284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029899026,0.0001090147,0.0006679639,0.00037045186,0.00005946593,0.00026314732,0.0021388666,0.0048032133,0.004169953,0.9354147,0.0029587734,0.048745353],"study_design_scores_gemma":[0.00008602035,0.00006009513,0.0001325496,0.00019216326,0.00011733259,0.0001717141,0.00024245471,0.04559761,0.010384499,0.9231041,0.01985801,0.00005348327],"about_ca_topic_score_codex":0.0018995564,"about_ca_topic_score_gemma":0.0020101431,"teacher_disagreement_score":0.015475733,"about_ca_system_score_codex":0.0021397076,"about_ca_system_score_gemma":0.003594477,"threshold_uncertainty_score":0.0776521},"labels":[],"label_agreement":null},{"id":"W4287071416","doi":"10.5281/zenodo.5116226","title":"A SUCCINCT PROGRAMMING LANGUAGE WITH A NATIVE DATABASE COMPONENT","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Component (thermodynamics); Programming language; First-generation programming language; Database; Programming paradigm","score_opus":0.030600298790314177,"score_gpt":0.25329254889139563,"score_spread":0.22269225010108146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287071416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00092608813,0.000109464745,0.9822704,0.00024465786,0.000058995905,0.000101377176,0.0010587506,0.01084252,0.004387707],"genre_scores_gemma":[0.023978584,0.00045104141,0.9485963,0.00085460645,0.00009957835,0.0005919224,0.004129591,0.004741495,0.016556889],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99745864,0.0005037707,0.00049300486,0.00044131774,0.00089345797,0.00020989825],"domain_scores_gemma":[0.99716383,0.0010049883,0.0002378636,0.0006871609,0.0007311387,0.00017495926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003042282,0.0012588947,0.000783085,0.0011427782,0.00073996244,0.0048176292,0.0037822959,0.0011816494,0.016530037],"category_scores_gemma":[0.0051067327,0.0016100868,0.001275803,0.0015811318,0.0014287512,0.006439753,0.0035548343,0.0039768154,0.011760074],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005419945,0.00030080797,0.0011144049,0.0015096961,0.000087434746,0.0004980487,0.001559315,0.014807799,0.02198952,0.6313378,0.085154526,0.24109864],"study_design_scores_gemma":[0.00020703058,0.000163471,0.0005079334,0.0003696986,0.00006979819,0.0015075871,0.0001841015,0.09841627,0.02362737,0.22371386,0.6510582,0.00017468072],"about_ca_topic_score_codex":0.0012172306,"about_ca_topic_score_gemma":0.0014216107,"teacher_disagreement_score":0.016530037,"about_ca_system_score_codex":0.0008723123,"about_ca_system_score_gemma":0.0016879331,"threshold_uncertainty_score":0.055298507},"labels":[],"label_agreement":null},{"id":"W4287074661","doi":"10.5281/zenodo.5842414","title":"Guiding Principles for OA Book Usage Data Services","year":2021,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science","score_opus":0.22507276514839133,"score_gpt":0.3234900002627772,"score_spread":0.09841723511438585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287074661","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048290226,0.00077579456,0.9222877,0.019092072,0.00088072545,0.0027597921,0.0005073975,0.0030561986,0.04581127],"genre_scores_gemma":[0.04622588,0.00097181957,0.9131583,0.0039371965,0.0003102269,0.0037139053,0.0014539612,0.0022453857,0.027983308],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9057886,0.039619736,0.009948567,0.0068963976,0.032397125,0.0053495415],"domain_scores_gemma":[0.946284,0.013115398,0.0018086964,0.01304028,0.02107339,0.0046782303],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.09803256,0.0015978948,0.0012038798,0.004293364,0.007449786,0.028019447,0.0060908035,0.010037115,0.006107557],"category_scores_gemma":[0.075368784,0.0030351474,0.0027136481,0.0053215455,0.012514018,0.022700213,0.013126701,0.015490269,0.01041053],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007376252,0.00017651124,0.00060058624,0.0002463929,0.000028451062,0.00021891139,0.006612629,0.0010549094,0.0019117851,0.9238035,0.025531428,0.039741147],"study_design_scores_gemma":[0.000074602205,0.000056539404,0.00033504705,0.00048785566,0.0000248515,0.00037096447,0.0025245724,0.0051626847,0.003123798,0.2711444,0.7166103,0.000084385065],"about_ca_topic_score_codex":0.016088843,"about_ca_topic_score_gemma":0.0091818785,"teacher_disagreement_score":0.9939092,"about_ca_system_score_codex":0.0070306784,"about_ca_system_score_gemma":0.024414059,"threshold_uncertainty_score":0.5184519},"labels":[],"label_agreement":null},{"id":"W4287185425","doi":"10.5281/zenodo.1155312","title":"A SUCCINCT PROGRAMMING LANGUAGE WITH A NATIVE DATABASE COMPONENT","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Component (thermodynamics); Computer science; Programming language; Database; Physics","score_opus":0.04049674826032028,"score_gpt":0.27357672571161207,"score_spread":0.23307997745129178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287185425","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00094625406,0.00010822391,0.98215336,0.00024534785,0.00005908966,0.000100486715,0.0010777214,0.011006383,0.0043031853],"genre_scores_gemma":[0.024996381,0.00043905494,0.94785386,0.0008659182,0.00009850481,0.0005930063,0.004110376,0.004789652,0.016253294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974866,0.0004929566,0.0004927846,0.00043871553,0.00087855104,0.00021039657],"domain_scores_gemma":[0.9971834,0.0009988898,0.00023798624,0.0006965369,0.000707066,0.00017617224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003012415,0.0012509396,0.0007804166,0.0011444963,0.0007376827,0.004796585,0.003783915,0.0011916041,0.016456965],"category_scores_gemma":[0.005081105,0.001606183,0.0013030544,0.0015557781,0.0014433195,0.0064490493,0.0036181305,0.0039346972,0.011464927],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005506969,0.00030128512,0.0011614874,0.0015687012,0.000089647605,0.0005175031,0.0015570882,0.015007267,0.022408083,0.6330519,0.08354531,0.24024116],"study_design_scores_gemma":[0.00020723794,0.00016255437,0.0005118672,0.0003691225,0.00007179732,0.00151544,0.0001852632,0.09854323,0.024692964,0.23050632,0.6430577,0.00017644538],"about_ca_topic_score_codex":0.0012018443,"about_ca_topic_score_gemma":0.0014129377,"teacher_disagreement_score":0.016456965,"about_ca_system_score_codex":0.0008760865,"about_ca_system_score_gemma":0.001702879,"threshold_uncertainty_score":0.05505401},"labels":[],"label_agreement":null},{"id":"W4287371247","doi":"10.5281/zenodo.4457720","title":"Réponse de l'ABRC et de Portage au document Data Repository Selection : Criteria That Matter","year":2021,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science","score_opus":0.07872969622154705,"score_gpt":0.3117472787833678,"score_spread":0.23301758256182073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287371247","genre_codex":"methods","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3240628,0.012646762,0.3825479,0.05045893,0.004188002,0.007896516,0.013446062,0.01231547,0.1924376],"genre_scores_gemma":[0.61162305,0.0025430343,0.25892195,0.0036506162,0.0015249129,0.0030756576,0.011861296,0.0060717445,0.10072775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.81304073,0.050228715,0.017869793,0.011183927,0.10099563,0.006681189],"domain_scores_gemma":[0.47547933,0.1834036,0.031113798,0.08979803,0.19731477,0.022890503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.121314295,0.00124641,0.0028353797,0.014903955,0.007269423,0.026913654,0.0045276643,0.005801352,0.016509848],"category_scores_gemma":[0.37373534,0.0009767263,0.0020298923,0.011883026,0.0042452137,0.021878071,0.009558884,0.0047009415,0.011024889],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050504967,0.0012179621,0.058238402,0.0031352637,0.0007446634,0.0014512949,0.006941497,0.0074940715,0.02424728,0.08212296,0.08663807,0.722718],"study_design_scores_gemma":[0.001038438,0.0027427943,0.10340432,0.0044969963,0.0014550203,0.0054783737,0.012867662,0.065817915,0.12462296,0.12670971,0.5498752,0.0014906749],"about_ca_topic_score_codex":0.013968801,"about_ca_topic_score_gemma":0.014083947,"teacher_disagreement_score":0.121314295,"about_ca_system_score_codex":0.006839174,"about_ca_system_score_gemma":0.017987747,"threshold_uncertainty_score":0.641579},"labels":[],"label_agreement":null},{"id":"W4287887229","doi":"10.18653/v1/2022.socialnlp-1","title":"Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media","year":2022,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Social media; Natural (archaeology); Natural language processing; World Wide Web; History","score_opus":0.02940486660702667,"score_gpt":0.30201648435557527,"score_spread":0.2726116177485486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287887229","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0099041285,0.069252774,0.59333473,0.08906497,0.087884866,0.0018799818,0.01731264,0.011775373,0.11959052],"genre_scores_gemma":[0.052412752,0.04958042,0.37865862,0.016216872,0.025725504,0.0024469818,0.06528618,0.00755215,0.40212047],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99353796,0.0029588554,0.0006545609,0.0010124894,0.0015003339,0.00033563253],"domain_scores_gemma":[0.9888755,0.0056411303,0.0002695692,0.001611506,0.0025991786,0.0010030613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010722201,0.0015011616,0.0015897033,0.0031112952,0.0013425006,0.008353705,0.0027611863,0.0025348677,0.0631764],"category_scores_gemma":[0.015849749,0.0006905273,0.002253413,0.002686338,0.0019797923,0.011904798,0.004207311,0.005068095,0.030499607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018043541,0.0001908333,0.00046215742,0.00078137,0.00012812394,0.00032927474,0.0007495463,0.0009951484,0.002946082,0.017671268,0.698807,0.27675876],"study_design_scores_gemma":[0.000027585622,0.00005852555,0.00069570175,0.00033458744,0.000042217496,0.0002750365,0.0004083103,0.0043383134,0.0013942933,0.023220412,0.9691657,0.000039314305],"about_ca_topic_score_codex":0.003624219,"about_ca_topic_score_gemma":0.0049560685,"teacher_disagreement_score":0.0631764,"about_ca_system_score_codex":0.0016921512,"about_ca_system_score_gemma":0.0032615038,"threshold_uncertainty_score":0.21134609},"labels":[],"label_agreement":null},{"id":"W4287887877","doi":"10.18653/v1/2022.trustnlp-1","title":"Proceedings of the 2nd Workshop on Trustworthy Natural Language Processing (TrustNLP 2022)","year":2022,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Compute Canada","keywords":"Computer science; Trustworthiness; Natural language processing; Programming language; Artificial intelligence; Computer security","score_opus":0.012564160992527402,"score_gpt":0.2608450258984049,"score_spread":0.2482808649058775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287887877","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019275889,0.02650328,0.79496145,0.050890908,0.01683082,0.0015890116,0.0121447975,0.02602843,0.051775392],"genre_scores_gemma":[0.10070678,0.0189817,0.5770739,0.0100046685,0.0059785377,0.0022835783,0.0854334,0.014427099,0.1851103],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9899419,0.0049020816,0.00081923296,0.0018022986,0.0019812754,0.00055328367],"domain_scores_gemma":[0.98013216,0.009109948,0.00045589497,0.0048174937,0.0038885807,0.001595951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017420467,0.0020880825,0.0025247713,0.0027871975,0.0018029552,0.007641892,0.003947844,0.004060876,0.05866119],"category_scores_gemma":[0.026710734,0.0013147377,0.00232963,0.0023580706,0.0026798982,0.014474071,0.008034586,0.0057906085,0.027844625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008785479,0.0004886313,0.00088186114,0.001071357,0.00021227836,0.0007971139,0.0012944236,0.003960596,0.0075787264,0.018419884,0.5679107,0.3965059],"study_design_scores_gemma":[0.00016289442,0.0002464549,0.001863282,0.000556674,0.00014481637,0.00072055834,0.0008416544,0.050141837,0.0073486925,0.05509755,0.8827629,0.000112724374],"about_ca_topic_score_codex":0.0109520545,"about_ca_topic_score_gemma":0.01391826,"teacher_disagreement_score":0.05866119,"about_ca_system_score_codex":0.0032989618,"about_ca_system_score_gemma":0.0051540113,"threshold_uncertainty_score":0.19624126},"labels":[],"label_agreement":null},{"id":"W4287912260","doi":"","title":"Special Issue of Journal of Automated Reasoning - IJCAR 2018","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Computer science; Psychology","score_opus":0.019137021206793843,"score_gpt":0.2490046074832524,"score_spread":0.22986758627645856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287912260","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005395544,0.03868493,0.056085218,0.053283986,0.61267245,0.0005761848,0.0076770517,0.005736353,0.21988833],"genre_scores_gemma":[0.041645445,0.03546759,0.04243865,0.011345988,0.3826461,0.00064939907,0.022952134,0.010186758,0.45266786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9915726,0.0015973237,0.0007846463,0.0021815272,0.003274393,0.0005895107],"domain_scores_gemma":[0.9790633,0.008366376,0.0008470407,0.004391387,0.0049966704,0.0023353798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005077471,0.0021291927,0.005335107,0.005812906,0.0036277818,0.016754976,0.0032795551,0.00365024,0.26076892],"category_scores_gemma":[0.01932924,0.0013835477,0.002798922,0.0060563935,0.0023718362,0.008113914,0.004252832,0.005075465,0.086029336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018387701,0.00020737115,0.00040648217,0.00097267417,0.000100087054,0.00014412425,0.000065974134,0.0006058077,0.00047748908,0.024260445,0.8846681,0.08790759],"study_design_scores_gemma":[0.00007540302,0.00007367177,0.0009394889,0.0004760687,0.00007946181,0.00042876595,0.00009288893,0.0030223303,0.0004305993,0.041011393,0.9533301,0.000039792205],"about_ca_topic_score_codex":0.0015688445,"about_ca_topic_score_gemma":0.0018799844,"teacher_disagreement_score":0.26076892,"about_ca_system_score_codex":0.00391657,"about_ca_system_score_gemma":0.0049362844,"threshold_uncertainty_score":0.8723589},"labels":[],"label_agreement":null},{"id":"W4288060363","doi":"10.18357/kula.229","title":"Using Linked Data Sources to Enhance Catalog Discovery","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Andrew W. Mellon Foundation","keywords":"Metadata; Cataloging; Computer science; Usability; Library catalog; World Wide Web; Data science; Data curation; Linked data; Data discovery; Information retrieval; Semantic Web; Human–computer interaction","score_opus":0.14475468355115245,"score_gpt":0.43430034032808473,"score_spread":0.2895456567769323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288060363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25551856,0.001278835,0.6840195,0.0077163535,0.00023285986,0.0040702927,0.0021514983,0.01353143,0.03148075],"genre_scores_gemma":[0.3090139,0.000507794,0.6824282,0.0006326077,0.000080974125,0.0010087922,0.0019191102,0.0005698345,0.0038388227],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9424703,0.036659047,0.00414875,0.0033265494,0.012511054,0.0008842279],"domain_scores_gemma":[0.62407225,0.28440323,0.008886796,0.059082136,0.021342074,0.0022134797],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.06269934,0.00070114265,0.0009990047,0.011310938,0.004061129,0.01326805,0.0035465523,0.0019817378,0.0049006436],"category_scores_gemma":[0.20025834,0.0012842512,0.0009940123,0.012993206,0.0022313125,0.030643694,0.013020018,0.0024314874,0.0015403089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017928884,0.0040059895,0.042903457,0.0033749163,0.0004811958,0.00069833494,0.04525208,0.007882516,0.024074113,0.08663616,0.010274129,0.7726242],"study_design_scores_gemma":[0.002120499,0.0033608347,0.036362734,0.0021198944,0.0012703419,0.0014488846,0.02927623,0.17165837,0.13764681,0.27476674,0.33873916,0.0012295761],"about_ca_topic_score_codex":0.0056020166,"about_ca_topic_score_gemma":0.0067416425,"teacher_disagreement_score":0.98673195,"about_ca_system_score_codex":0.0025952442,"about_ca_system_score_gemma":0.00609586,"threshold_uncertainty_score":0.3315897},"labels":[],"label_agreement":null},{"id":"W4288060410","doi":"10.18357/kula.169","title":"The Power to Structure","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Metadata; World Wide Web; Computer science; Interoperability; Context (archaeology); Meaning (existential); Ontology; Data science; Situated; Data sharing; Knowledge management; Epistemology; Geography; Artificial intelligence","score_opus":0.028645151892736406,"score_gpt":0.35021469822490964,"score_spread":0.3215695463321732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288060410","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017164825,0.010725776,0.17923558,0.09850149,0.0033270519,0.00022082856,0.00046747262,0.0008288289,0.6895282],"genre_scores_gemma":[0.7331868,0.010357072,0.0880997,0.02727696,0.003785191,0.0009382023,0.0008467969,0.0015492493,0.1339601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9855546,0.0061994507,0.00063318515,0.0034052378,0.0030451464,0.0011624687],"domain_scores_gemma":[0.9796179,0.007666106,0.0015851202,0.007420051,0.002326077,0.0013846394],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.013826442,0.0013187482,0.0012656515,0.0039514774,0.010580886,0.022966594,0.0032294851,0.005496516,0.01665373],"category_scores_gemma":[0.024261814,0.0011155051,0.0011309916,0.0028183695,0.10981508,0.04416332,0.020986764,0.0086260615,0.006654543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009783791,0.000007825391,0.00020967843,0.000058115755,0.000011574204,0.00003255472,0.004466722,0.00013369154,0.00009204816,0.98413694,0.0039487598,0.006892347],"study_design_scores_gemma":[0.000017329736,0.000017730601,0.00013435828,0.00018644695,0.000015304337,0.000098818025,0.0017948622,0.00024802724,0.00020625576,0.7909938,0.20626327,0.000023782824],"about_ca_topic_score_codex":0.0067504263,"about_ca_topic_score_gemma":0.0053737457,"teacher_disagreement_score":0.9770334,"about_ca_system_score_codex":0.0075528217,"about_ca_system_score_gemma":0.008821255,"threshold_uncertainty_score":0.073122084},"labels":[],"label_agreement":null},{"id":"W4288060741","doi":"10.18357/kula.192","title":"Knowledge Graphs, Metadata Practices, and Badiou's Mathematical Ontology","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Ontology; Metadata; Semantic Web; Upper ontology; Linked data; Information retrieval; World Wide Web; Knowledge graph; Graph; Epistemology; Theoretical computer science","score_opus":0.10312342425016563,"score_gpt":0.4082354790864158,"score_spread":0.30511205483625015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288060741","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052366648,0.013215183,0.4704597,0.080074616,0.00070842064,0.00014702936,0.0004806703,0.00038764277,0.3821601],"genre_scores_gemma":[0.8765957,0.0056897784,0.09832518,0.0028380752,0.0004099419,0.00024936968,0.00021488547,0.00010440879,0.015572607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955909,0.0022344508,0.00039462652,0.0006194736,0.0009655004,0.00019505029],"domain_scores_gemma":[0.99314404,0.004413295,0.00053160905,0.0010070078,0.0006529693,0.0002512001],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0060615395,0.00040504674,0.00048725994,0.00617053,0.005431676,0.009956342,0.0015796707,0.0025660195,0.0023263467],"category_scores_gemma":[0.008141919,0.000398174,0.0008182937,0.0055041276,0.038417052,0.021648688,0.0058426745,0.002896906,0.0005262749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.720583e-7,0.0000011028203,0.0000259539,0.000007691313,6.2064595e-7,0.00000551059,0.00047672883,0.000087811124,0.000011210405,0.9983346,0.00022915434,0.0008188766],"study_design_scores_gemma":[0.00000249801,0.000002094777,0.000037293383,0.00002701512,0.0000022351905,0.00002287805,0.00044287453,0.00043932497,0.00006244423,0.9807179,0.018239096,0.0000042160896],"about_ca_topic_score_codex":0.008073142,"about_ca_topic_score_gemma":0.0042679487,"teacher_disagreement_score":0.99004364,"about_ca_system_score_codex":0.0087610725,"about_ca_system_score_gemma":0.0036045432,"threshold_uncertainty_score":0.06356639},"labels":[],"label_agreement":null},{"id":"W4288680697","doi":"10.5281/zenodo.6936227","title":"OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts","year":2022,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"OpenAlex","funders":"Arcadia Fund","keywords":"Index (typography); Scholarly communication; Computer science; World Wide Web; Data science; Political science; Publishing","score_opus":0.08010865276366544,"score_gpt":0.32043251914757925,"score_spread":0.24032386638391381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288680697","genre_codex":"other","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006985516,0.0030381037,0.07836374,0.005434776,0.0029667127,0.000439627,0.34962156,0.073989145,0.4791607],"genre_scores_gemma":[0.036817975,0.004250306,0.08328093,0.0011116592,0.0011209771,0.0004726631,0.5812124,0.028806994,0.2629261],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976743,0.00036216213,0.0002738085,0.00027286456,0.0012184548,0.00019845186],"domain_scores_gemma":[0.99181795,0.0023176789,0.0006518997,0.0018421963,0.0019005509,0.0014697688],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002455836,0.0009567774,0.0007469527,0.018069267,0.0018707525,0.010716225,0.0012490429,0.001446985,0.09104975],"category_scores_gemma":[0.014835216,0.00066224125,0.00057795865,0.0172761,0.0012358156,0.012779029,0.009135447,0.0017020232,0.07129294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009837513,0.00003165608,0.00080724887,0.00077002303,0.000022460199,0.00013449696,0.0010074934,0.0004606699,0.0013355184,0.08416341,0.7764101,0.13475855],"study_design_scores_gemma":[0.000005088083,0.000004051397,0.00025135095,0.00006895467,0.0000034189432,0.000042486645,0.00015639797,0.00018346749,0.00034859567,0.006638954,0.99228865,0.000008602117],"about_ca_topic_score_codex":0.0050671017,"about_ca_topic_score_gemma":0.0124624055,"teacher_disagreement_score":0.998751,"about_ca_system_score_codex":0.0023974949,"about_ca_system_score_gemma":0.0045979735,"threshold_uncertainty_score":0.30459177},"labels":[],"label_agreement":null},{"id":"W4289534003","doi":"10.1109/icde53745.2022.00019","title":"MPC: Minimum Property-Cut RDF Graph Partitioning","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 38th International Conference on Data Engineering (ICDE)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Joins; Computer science; Graph partition; Partition (number theory); RDF; Graph; Theoretical computer science; Property (philosophy); Vertex (graph theory); Algorithm; Mathematics; Combinatorics; Artificial intelligence","score_opus":0.09052559650006398,"score_gpt":0.2841959155446227,"score_spread":0.19367031904455873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289534003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027455905,0.0003148308,0.96061766,0.00035877395,0.0000660842,0.00057700736,0.001152907,0.005706792,0.003750019],"genre_scores_gemma":[0.2117347,0.00017347904,0.7806648,0.00021762778,0.000037716003,0.00032674224,0.004578286,0.0006961157,0.0015704598],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99825245,0.0003411902,0.00011150527,0.00038202232,0.0007534948,0.00015930862],"domain_scores_gemma":[0.99791926,0.00066337583,0.00018126282,0.00068809156,0.0004360831,0.000111899426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011640775,0.0010612053,0.000739513,0.0018725306,0.0012626252,0.0011384013,0.001958131,0.0009954737,0.0025071907],"category_scores_gemma":[0.0043930765,0.00045171412,0.0008867059,0.0020610108,0.0008252776,0.002290876,0.0019146767,0.0009524349,0.0006919819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051931903,0.00043855584,0.004520387,0.00063900754,0.00015397988,0.00056083756,0.0004957979,0.3104487,0.043132305,0.046371643,0.042088386,0.5506311],"study_design_scores_gemma":[0.00007074474,0.00012836413,0.0010464877,0.000037650407,0.00004266114,0.00046415027,0.00027876985,0.9130385,0.029961826,0.038819645,0.016074656,0.000036589285],"about_ca_topic_score_codex":0.005598102,"about_ca_topic_score_gemma":0.008540482,"teacher_disagreement_score":0.005598102,"about_ca_system_score_codex":0.0010486171,"about_ca_system_score_gemma":0.001893196,"threshold_uncertainty_score":0.011131048},"labels":[],"label_agreement":null},{"id":"W4293212745","doi":"10.1007/978-3-031-02181-7_4","title":"Refining Query and Document Representations","year":2022,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on human language technologies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ranking (information retrieval); Computer science; Vocabulary; Matching (statistics); Information retrieval; Section (typography); Artificial intelligence; Core (optical fiber); Natural language processing; Semantic matching; Linguistics; Mathematics","score_opus":0.02776359311982873,"score_gpt":0.290113440396588,"score_spread":0.26234984727675925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293212745","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01251002,0.00090913085,0.95990455,0.0009247655,0.00017018987,0.00033932913,0.0021968773,0.008851921,0.014193091],"genre_scores_gemma":[0.09392339,0.0014918403,0.8671257,0.00039337532,0.00014083913,0.000239831,0.012288396,0.0037712925,0.020625409],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940653,0.0014128804,0.00049222115,0.0010843917,0.0025758587,0.00036933608],"domain_scores_gemma":[0.9914648,0.0032647175,0.0002035467,0.0028344807,0.0021056992,0.0001268313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041477503,0.0012381668,0.0016289535,0.005582588,0.0015467383,0.0062441374,0.0026295872,0.0013321298,0.016321843],"category_scores_gemma":[0.020594109,0.0012496689,0.0026320308,0.0070561403,0.0016870381,0.01187024,0.0038198337,0.002538433,0.0067138853],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003417028,0.00016430095,0.0010031841,0.0006291707,0.00012751258,0.00027643912,0.0009160445,0.017281529,0.016226634,0.2393712,0.040095523,0.68356675],"study_design_scores_gemma":[0.00009091785,0.00012891738,0.001002518,0.00034303922,0.00045643462,0.0006345694,0.0011305778,0.36047688,0.060511883,0.38175353,0.19335555,0.00011516002],"about_ca_topic_score_codex":0.015091342,"about_ca_topic_score_gemma":0.012428859,"teacher_disagreement_score":0.016321843,"about_ca_system_score_codex":0.0028877326,"about_ca_system_score_gemma":0.0024962293,"threshold_uncertainty_score":0.054601967},"labels":[],"label_agreement":null},{"id":"W4294658875","doi":"10.18293/seke2022-020","title":"An Explainable Knowledge-based AI Framework for Mobility as a Service","year":2022,"lang":"en","type":"article","venue":"Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Computer science; Process (computing); Domain knowledge; Knowledge base; Service (business); Domain (mathematical analysis); Data science; Knowledge management; Artificial intelligence","score_opus":0.023589807278705455,"score_gpt":0.27270536775745513,"score_spread":0.24911556047874966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294658875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022515235,0.00031498185,0.985862,0.0018527806,0.000047078225,0.00017170451,0.00024788085,0.00043627218,0.008815806],"genre_scores_gemma":[0.088721916,0.00067515625,0.90524477,0.00032117066,0.00007451518,0.00040377444,0.00069966324,0.00005418112,0.0038048632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990237,0.00036645992,0.00010251402,0.0001795045,0.00025285938,0.0000750093],"domain_scores_gemma":[0.99867755,0.00072707725,0.00012679884,0.00014581114,0.00022078813,0.000101913036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020034183,0.00081477995,0.00047615217,0.0026721826,0.0012960532,0.003945139,0.0027534163,0.0016636852,0.0043932437],"category_scores_gemma":[0.0035740752,0.00042403105,0.0016567484,0.0018001085,0.002939813,0.0043594255,0.0026842377,0.0023510219,0.0007513515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019505902,0.000063854524,0.00043860188,0.00015788132,0.000048383034,0.00044181745,0.0008891333,0.03192864,0.00096749916,0.931763,0.0026846442,0.030596957],"study_design_scores_gemma":[0.000036901318,0.00004092699,0.00037419552,0.00019965433,0.00008554021,0.00034432032,0.0005750724,0.32814264,0.0013656133,0.5991065,0.06967789,0.000050719093],"about_ca_topic_score_codex":0.018447291,"about_ca_topic_score_gemma":0.017870745,"teacher_disagreement_score":0.018447291,"about_ca_system_score_codex":0.0021029387,"about_ca_system_score_gemma":0.0029572784,"threshold_uncertainty_score":0.036679804},"labels":[],"label_agreement":null},{"id":"W4296738430","doi":"10.32920/ryerson.14668911.v2","title":"Linked Data Tools : semantic web for the masses","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Semantic Web; Computer science; Social Semantic Web; Semantic Web Stack; Semantic technology; Semantic analytics; World Wide Web; Data Web; Linked data; Semantic grid; The Internet; Semantic computing; Data science; Information retrieval; Web service","score_opus":0.19891339909321978,"score_gpt":0.35027923040684816,"score_spread":0.15136583131362838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296738430","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022605227,0.009821492,0.848556,0.021210209,0.0018973815,0.00036234874,0.0033497484,0.019725733,0.09281663],"genre_scores_gemma":[0.07505126,0.021357162,0.8111839,0.008445151,0.0033317707,0.0011272085,0.016933398,0.007452102,0.05511795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99465805,0.001702495,0.0004024463,0.00050404714,0.0024720866,0.00026079614],"domain_scores_gemma":[0.9936666,0.002408215,0.00029885783,0.002093608,0.0010200142,0.00051273487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008168984,0.0013166161,0.0010713822,0.00711053,0.0023276163,0.013395162,0.0029012028,0.004275634,0.016750466],"category_scores_gemma":[0.020219529,0.0009623211,0.0011785856,0.009093318,0.0041356506,0.025978288,0.009765618,0.004555863,0.010709983],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051925115,0.000040772353,0.00023449873,0.00040360357,0.00004625906,0.00030601452,0.00077282835,0.0014636002,0.0008463772,0.7637633,0.090417884,0.14165291],"study_design_scores_gemma":[0.000021245613,0.000008232365,0.00008120544,0.00029608767,0.00001281825,0.00014400372,0.00015668933,0.0035972309,0.00083092495,0.52272266,0.47210702,0.000021809114],"about_ca_topic_score_codex":0.0028418216,"about_ca_topic_score_gemma":0.0020408323,"teacher_disagreement_score":0.016750466,"about_ca_system_score_codex":0.0018700991,"about_ca_system_score_gemma":0.0043897475,"threshold_uncertainty_score":0.056035876},"labels":[],"label_agreement":null},{"id":"W4296849154","doi":"10.1145/3528575.3551429","title":"TEXT2030 - Shaping Text Entry Research in 2030","year":2022,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Theme (computing); Position paper; Position (finance); Computer science; Action (physics); Action research; Engineering ethics; Data science; Sociology; Management science; Knowledge management; World Wide Web; Engineering; Pedagogy; Business","score_opus":0.18992127303680947,"score_gpt":0.37501099497103213,"score_spread":0.18508972193422266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296849154","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.157399,0.018407464,0.23609085,0.40243563,0.010033191,0.0012442997,0.0011672467,0.0023542999,0.17086808],"genre_scores_gemma":[0.7352334,0.009643877,0.1130225,0.03715664,0.0032372654,0.0018568488,0.0018636844,0.0022839652,0.09570184],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9514027,0.03637033,0.0021083618,0.0045119016,0.0036760748,0.0019306164],"domain_scores_gemma":[0.86989385,0.094441764,0.0029951974,0.00872828,0.01626989,0.0076710186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09518408,0.0007907448,0.001211719,0.0045690318,0.008262696,0.036077555,0.003978833,0.010240214,0.015058364],"category_scores_gemma":[0.091335185,0.0007721724,0.001234562,0.0063291346,0.024669701,0.06731496,0.021022612,0.0065401075,0.005294735],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004895709,0.00034236404,0.004456633,0.0021274693,0.00004122417,0.0008192396,0.29342848,0.00055346184,0.008236555,0.46027422,0.05020295,0.17902783],"study_design_scores_gemma":[0.0000861794,0.00019323027,0.0017695208,0.002306493,0.000037134298,0.00026725247,0.20076814,0.001750675,0.0038730586,0.13343012,0.6554135,0.00010475075],"about_ca_topic_score_codex":0.0040836204,"about_ca_topic_score_gemma":0.005101703,"teacher_disagreement_score":0.09518408,"about_ca_system_score_codex":0.008691033,"about_ca_system_score_gemma":0.012884933,"threshold_uncertainty_score":0.5033876},"labels":[],"label_agreement":null},{"id":"W4296979666","doi":"10.5281/zenodo.5777231","title":"Survey on defining practices in ontologies: Report","year":2013,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; Information retrieval","score_opus":0.1794877259628959,"score_gpt":0.343064354767584,"score_spread":0.16357662880468812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296979666","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12564114,0.5709149,0.17693134,0.024260964,0.001748998,0.00071198284,0.007604405,0.0020207802,0.09016548],"genre_scores_gemma":[0.22367455,0.6332194,0.1044769,0.004247102,0.00061454985,0.0008131228,0.02652755,0.0014356009,0.004991186],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.94667023,0.016702496,0.011690205,0.0043545207,0.018738935,0.0018435904],"domain_scores_gemma":[0.84897697,0.10349481,0.011998989,0.012209944,0.0216152,0.001704175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03650528,0.0010261651,0.0011359672,0.018259559,0.0016015527,0.007912848,0.0023386255,0.0016397655,0.0027232505],"category_scores_gemma":[0.09902547,0.0008437277,0.0010311868,0.04372524,0.0025302519,0.020606091,0.0048866365,0.0027202868,0.0012743324],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013441205,0.00019883977,0.028670369,0.0099666,0.00017898336,0.00017240392,0.012738239,0.0011931421,0.0025938456,0.08388474,0.04264629,0.8176222],"study_design_scores_gemma":[0.000013390151,0.0000849122,0.014114483,0.010905979,0.00018838955,0.0009244126,0.012678623,0.0010342697,0.0048571434,0.014967868,0.94017047,0.000060025774],"about_ca_topic_score_codex":0.0057807043,"about_ca_topic_score_gemma":0.003252408,"teacher_disagreement_score":0.03650528,"about_ca_system_score_codex":0.0033746264,"about_ca_system_score_gemma":0.007675954,"threshold_uncertainty_score":0.1930607},"labels":[],"label_agreement":null},{"id":"W4297050132","doi":"","title":"Ergo'IA '14: Proceedings of the 2014 \"Ergonomie Et Informatique Avancée\" Conference - Design, Ergonomie et IHM: Quelle Articulation Pour La Co-conception De L'Interaction","year":2014,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); Université de Montréal","funders":"","keywords":"Philosophy; Humanities; Articulation (sociology); Political science","score_opus":0.02633774906991009,"score_gpt":0.2678966786398485,"score_spread":0.2415589295699384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297050132","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024740068,0.048908666,0.6236227,0.056467175,0.06842151,0.0010345697,0.0049601253,0.0050346167,0.16681051],"genre_scores_gemma":[0.13654293,0.032135125,0.31134287,0.007923752,0.0102021685,0.0016044655,0.02082786,0.006876194,0.4725446],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9901636,0.004501003,0.00060414936,0.0011766317,0.002805206,0.0007493037],"domain_scores_gemma":[0.99113643,0.0027824435,0.00023380466,0.0019400973,0.0025622624,0.0013449886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017159315,0.0019805348,0.0034355903,0.0030233026,0.0028430033,0.011412512,0.0028137488,0.004120067,0.025810443],"category_scores_gemma":[0.01143258,0.0010372229,0.0019592955,0.003017997,0.0045885853,0.0069811055,0.009480469,0.0063949167,0.0098952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006248822,0.0009411453,0.0018572687,0.0014368144,0.0002027995,0.0002616324,0.0035855758,0.0035377955,0.008978913,0.13195512,0.49712625,0.3494918],"study_design_scores_gemma":[0.00005276459,0.00010485419,0.0029851838,0.00063006056,0.00008466898,0.00022468093,0.00096659287,0.004793605,0.005915249,0.03535146,0.948805,0.00008585162],"about_ca_topic_score_codex":0.012473155,"about_ca_topic_score_gemma":0.019767886,"teacher_disagreement_score":0.025810443,"about_ca_system_score_codex":0.0065635657,"about_ca_system_score_gemma":0.012523431,"threshold_uncertainty_score":0.09074819},"labels":[],"label_agreement":null},{"id":"W4297779989","doi":"10.5281/zenodo.7069915","title":"D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research","year":2022,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metadata; Computer science; Data science; State (computer science); Information retrieval; World Wide Web; Programming language","score_opus":0.09868910898531755,"score_gpt":0.3285302291203945,"score_spread":0.22984112013507693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297779989","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004336244,0.00046940427,0.002061056,0.0005022457,0.00011379838,0.0000825682,0.9806182,0.0024409234,0.009375533],"genre_scores_gemma":[0.006551618,0.0003782033,0.004593067,0.000089354726,0.00005255925,0.00011728007,0.98449045,0.0003276934,0.00339981],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781764,0.00029688166,0.00030297248,0.0003182916,0.0010845319,0.0001795895],"domain_scores_gemma":[0.9927914,0.0018670156,0.00057709013,0.0019767005,0.0018510268,0.0009368187],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0015421904,0.0008656745,0.00070935563,0.012675215,0.0009997498,0.0030882133,0.001343328,0.0017137905,0.019333133],"category_scores_gemma":[0.009859269,0.00040519642,0.0006675196,0.021030769,0.000521968,0.002877508,0.0033220144,0.0011616522,0.028288202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025471242,0.00008366825,0.0049930736,0.0016239581,0.0000665506,0.00026981308,0.0003721931,0.0014529245,0.003480955,0.005683709,0.9386179,0.04310066],"study_design_scores_gemma":[0.00007636985,0.00003346753,0.018285396,0.00021301933,0.000036252935,0.00020155421,0.0005746818,0.0013560177,0.0031244997,0.0051571806,0.9708844,0.000057239846],"about_ca_topic_score_codex":0.010886846,"about_ca_topic_score_gemma":0.01896802,"teacher_disagreement_score":0.9984578,"about_ca_system_score_codex":0.0013600509,"about_ca_system_score_gemma":0.0024041291,"threshold_uncertainty_score":0.06467575},"labels":[],"label_agreement":null},{"id":"W4297835139","doi":"10.4000/jtei.4239","title":"Analyzing and Visualizing Uncertain Knowledge: The Use of TEI Annotations in the PROVIDEDH Open Science Platform","year":2021,"lang":"en","type":"article","venue":"Journal of the Text Encoding Initiative","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"CHIST-ERA; Austrian Science Fund; Irish Research Council","keywords":"Computer science; Certainty; Data science; Taxonomy (biology); Annotation; Focus (optics); Management science; Information retrieval; Artificial intelligence; Engineering; Epistemology","score_opus":0.2138904268404108,"score_gpt":0.3844082529607647,"score_spread":0.1705178261203539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297835139","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32194456,0.002359046,0.52414155,0.011249802,0.0011531789,0.0011989155,0.033614144,0.021736335,0.08260238],"genre_scores_gemma":[0.47512138,0.0008810628,0.492036,0.0005631214,0.00019491964,0.00086962467,0.01762995,0.003546377,0.009157676],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9908839,0.0036748429,0.0008448084,0.0013223228,0.002919633,0.00035451795],"domain_scores_gemma":[0.9476003,0.035059094,0.003158012,0.007993829,0.005009309,0.0011794486],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.016680863,0.00078073714,0.0005970092,0.008481108,0.003125064,0.0076999087,0.0016906584,0.0021594523,0.004201472],"category_scores_gemma":[0.05502202,0.000523924,0.0008610463,0.0061258604,0.0030228803,0.010868838,0.010128786,0.0030264433,0.0012007395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013986925,0.00037832104,0.03921196,0.0037254277,0.00023658376,0.007453319,0.2739321,0.0270635,0.029560585,0.15715621,0.0553145,0.40456885],"study_design_scores_gemma":[0.00010182698,0.0001570646,0.027353717,0.0023402527,0.00014523318,0.0011403087,0.052771576,0.11669517,0.026397152,0.22837028,0.54392225,0.00060521904],"about_ca_topic_score_codex":0.01014832,"about_ca_topic_score_gemma":0.016913937,"teacher_disagreement_score":0.9983093,"about_ca_system_score_codex":0.002331475,"about_ca_system_score_gemma":0.0032822937,"threshold_uncertainty_score":0.088217914},"labels":[],"label_agreement":null},{"id":"W4297999774","doi":"10.1145/3565364","title":"Reducible Theories and Amalgamations of Models","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Computational Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ontology; Computer science; Representation (politics); Suggested Upper Merged Ontology; Process ontology; Knowledge representation and reasoning; Upper ontology; Isomorphism (crystallography); Description logic; Ontology alignment; Theoretical computer science; Artificial intelligence; Epistemology; Domain knowledge","score_opus":0.03793682739011632,"score_gpt":0.26327203496522833,"score_spread":0.225335207575112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297999774","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09837732,0.0033707167,0.7922603,0.0056855464,0.00041667573,0.0002952879,0.00075666764,0.00086703,0.09797045],"genre_scores_gemma":[0.7451634,0.0015754937,0.23841399,0.0010763363,0.0003570928,0.0005791387,0.0014741553,0.0002578994,0.0111025665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99135137,0.0030408872,0.0007923926,0.0014465008,0.0026129526,0.00075589],"domain_scores_gemma":[0.9930797,0.0031372346,0.0004573885,0.002446503,0.00065393717,0.00022517197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004941569,0.0010616325,0.0012608543,0.0038883071,0.00279765,0.0056896578,0.002650565,0.002082955,0.003924937],"category_scores_gemma":[0.011406686,0.001025142,0.0049670786,0.002380735,0.01238295,0.011959801,0.006541632,0.006940958,0.0006501026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039599117,0.0000058350493,0.00004392389,0.000016038637,0.000010000111,0.000038889997,0.00025000662,0.0009766641,0.0000617239,0.99720806,0.00022166177,0.0011632575],"study_design_scores_gemma":[0.0000048972533,0.0000035638168,0.000018683344,0.000012580913,0.000006145626,0.00002665679,0.00006929547,0.002316583,0.000105439205,0.9957379,0.0016942407,0.0000039664237],"about_ca_topic_score_codex":0.00379091,"about_ca_topic_score_gemma":0.0026603346,"teacher_disagreement_score":0.0056896578,"about_ca_system_score_codex":0.0047646826,"about_ca_system_score_gemma":0.0014602774,"threshold_uncertainty_score":0.034570277},"labels":[],"label_agreement":null},{"id":"W4298049535","doi":"","title":"Extending the GEM model to support knowledge extraction from textual guidelines.","year":2005,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Computer science; Chemistry; Chromatography","score_opus":0.0617668357256296,"score_gpt":0.31650821610692187,"score_spread":0.2547413803812923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298049535","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005500089,0.00042950825,0.97949,0.0012794968,0.00008981406,0.00071424054,0.0030145345,0.0050412505,0.0044410266],"genre_scores_gemma":[0.03700769,0.0003419751,0.9531703,0.00038520718,0.000026448744,0.00032108804,0.0069673397,0.00019551814,0.001584373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99589336,0.001583416,0.0008356467,0.00061594544,0.000958191,0.000113384864],"domain_scores_gemma":[0.98909366,0.0074774097,0.00068262324,0.0013971525,0.0012111146,0.00013801774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005278231,0.00068312045,0.00057978026,0.0035797276,0.00052329636,0.0029225105,0.0014427423,0.0015423291,0.00299486],"category_scores_gemma":[0.024149388,0.0005972594,0.0018981004,0.0031101909,0.00090296916,0.0032612788,0.0019365334,0.0016212928,0.0017231478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035029894,0.0003238784,0.006277523,0.0029845417,0.0003513674,0.0021958684,0.0028854872,0.05306306,0.013144372,0.21197218,0.027353793,0.6790976],"study_design_scores_gemma":[0.00019198775,0.00022303508,0.00271376,0.001226685,0.00037359685,0.0016742357,0.0007049756,0.32345086,0.029458301,0.234564,0.40529147,0.00012711066],"about_ca_topic_score_codex":0.006999601,"about_ca_topic_score_gemma":0.01083826,"teacher_disagreement_score":0.006999601,"about_ca_system_score_codex":0.0011235559,"about_ca_system_score_gemma":0.002704881,"threshold_uncertainty_score":0.027914286},"labels":[],"label_agreement":null},{"id":"W4298359381","doi":"10.4018/978-1-60566-172-8.ch002","title":"A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web","year":2009,"lang":"en","type":"book-chapter","venue":"Advances in database research (ADR) book series/Advances in database research series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Computer science; Ontology; Semantic Web; Semantic analytics; Upper ontology; Information retrieval; OWL-S; Open Biomedical Ontologies; Social Semantic Web; Ontology-based data integration; Semantic Web Stack; Process ontology; Domain (mathematical analysis); World Wide Web; Data science; Mathematics","score_opus":0.10999708944797387,"score_gpt":0.4012981583198241,"score_spread":0.29130106887185025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298359381","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014925458,0.00070792413,0.9644058,0.0021138096,0.00045203866,0.00031310247,0.0007662775,0.0015220584,0.028226422],"genre_scores_gemma":[0.030789034,0.00254347,0.94615006,0.0012253989,0.00030359314,0.0007417182,0.0028429795,0.00088888704,0.0145148765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99680173,0.0006124503,0.00056385365,0.0005181268,0.0013435816,0.00016025064],"domain_scores_gemma":[0.99748176,0.0008304573,0.00020081732,0.00064175675,0.0006923009,0.00015292711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004086032,0.0009760565,0.0009593643,0.0045255716,0.0025139446,0.0057442137,0.0024026427,0.002437899,0.004554371],"category_scores_gemma":[0.0063506546,0.0008217793,0.0024225886,0.0062020477,0.0029832174,0.01575833,0.003717171,0.005007088,0.0022818358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008151902,0.00003266905,0.00024232922,0.00016437822,0.000016416632,0.00017324832,0.0005503975,0.0019627872,0.0011118669,0.93641055,0.011404708,0.047922485],"study_design_scores_gemma":[0.0000100132565,0.000012288347,0.00043071125,0.00026848834,0.000027624958,0.00053401693,0.00037300485,0.02075543,0.0017564817,0.43232676,0.5434557,0.00004953007],"about_ca_topic_score_codex":0.0089413095,"about_ca_topic_score_gemma":0.008105598,"teacher_disagreement_score":0.0089413095,"about_ca_system_score_codex":0.0028013985,"about_ca_system_score_gemma":0.005076729,"threshold_uncertainty_score":0.021609247},"labels":[],"label_agreement":null},{"id":"W4299388061","doi":"10.5753/wscad.2007.18753","title":"Sistema Selecionador de Recursos Computacionais de Grade baseado na Interoperabilidade de Múltiplas Ontologias","year":2007,"lang":"pt","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Monsanto (Canada)","funders":"","keywords":"Humanities; Computer science; Philosophy; Political science","score_opus":0.03706530826276695,"score_gpt":0.29847277315575177,"score_spread":0.26140746489298483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299388061","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1980962,0.00035743878,0.76398724,0.00047794072,0.00009158407,0.00070179004,0.000817606,0.021631686,0.013838579],"genre_scores_gemma":[0.7047256,0.00027845916,0.2778414,0.00013046987,0.00003231916,0.00036055333,0.0019506579,0.0010794892,0.013601043],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99646395,0.00067964074,0.00047161707,0.0007581185,0.0014510255,0.00017573114],"domain_scores_gemma":[0.99332243,0.0016256123,0.0005835449,0.0021568409,0.0019226603,0.00038894775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041918647,0.001048282,0.0012250714,0.0030053842,0.0012834608,0.0062128077,0.0017874909,0.0010552679,0.004071],"category_scores_gemma":[0.013331306,0.0005636085,0.0011297588,0.0024390495,0.00066723494,0.005459329,0.0026719817,0.0010661687,0.0023290063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019272022,0.000935785,0.04441272,0.00082154386,0.0002820674,0.00075593754,0.00487647,0.028997362,0.09307435,0.03556512,0.007345937,0.7810055],"study_design_scores_gemma":[0.00027327088,0.0011346755,0.034262195,0.00027829577,0.00072750234,0.0009538455,0.0038423392,0.59676903,0.1857453,0.057553206,0.11813713,0.00032322845],"about_ca_topic_score_codex":0.006198339,"about_ca_topic_score_gemma":0.00574642,"teacher_disagreement_score":0.0062128077,"about_ca_system_score_codex":0.00095972954,"about_ca_system_score_gemma":0.0013325905,"threshold_uncertainty_score":0.022168934},"labels":[],"label_agreement":null},{"id":"W4299558177","doi":"10.5281/zenodo.4585711","title":"Enquête sur les initiatives canadiennes et internationales en matière de la gestion des données","year":2008,"lang":"fr","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Association of Research Libraries","funders":"","keywords":"Political science","score_opus":0.11943208527820735,"score_gpt":0.27968957773667086,"score_spread":0.1602574924584635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299558177","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058204364,0.074751854,0.10532409,0.14005537,0.007818372,0.0017215565,0.00850363,0.0035015077,0.6001193],"genre_scores_gemma":[0.22495317,0.09464433,0.12960248,0.009955655,0.0023207085,0.0011756965,0.020329684,0.0035369943,0.5134813],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.95937806,0.007255791,0.0023272454,0.0032979609,0.024274008,0.0034669293],"domain_scores_gemma":[0.90551376,0.015333592,0.0032587019,0.007766311,0.06061866,0.007509012],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.047555648,0.0012529722,0.0011729616,0.016459156,0.01120095,0.019732323,0.002495284,0.0038330422,0.019560128],"category_scores_gemma":[0.043185215,0.0008183644,0.0014210369,0.037045278,0.005391234,0.00912644,0.008448147,0.006640034,0.0051386165],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003646298,0.00026119823,0.015936563,0.0025729015,0.00018739431,0.0009029237,0.04845657,0.0019885823,0.009584734,0.31835085,0.20725638,0.39413726],"study_design_scores_gemma":[0.000007717775,0.000025979021,0.003576092,0.0005000188,0.000031333453,0.00013807985,0.0070030633,0.00016675443,0.0013736764,0.0021120282,0.9850212,0.000043992237],"about_ca_topic_score_codex":0.51302356,"about_ca_topic_score_gemma":0.6232829,"teacher_disagreement_score":0.9975047,"about_ca_system_score_codex":0.03759259,"about_ca_system_score_gemma":0.09371695,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4299609146","doi":"10.4018/978-1-60566-058-5.ch146","title":"A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Computer science; Ontology; Semantic Web; Semantic analytics; Upper ontology; Information retrieval; Open Biomedical Ontologies; Ontology-based data integration; OWL-S; Domain (mathematical analysis); Process ontology; Generality; Social Semantic Web; Ontology alignment; Data science; World Wide Web; Mathematics","score_opus":0.04178877186424197,"score_gpt":0.26329573291861696,"score_spread":0.221506961054375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299609146","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019216561,0.00051963824,0.9722748,0.0022855767,0.00028326432,0.0003253423,0.0007158814,0.0011999081,0.02047404],"genre_scores_gemma":[0.045011416,0.002037617,0.93893176,0.001125287,0.00023922737,0.0008631323,0.0026544721,0.00068850024,0.008448508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99560803,0.0010331133,0.0008385517,0.000678224,0.0016189797,0.0002231297],"domain_scores_gemma":[0.9963973,0.0012431025,0.00031248742,0.00097507675,0.0008608854,0.00021104833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005640047,0.0010577796,0.0010287331,0.0052065393,0.0029143668,0.0060312864,0.0026398103,0.0028852138,0.0033968883],"category_scores_gemma":[0.007589528,0.0008552761,0.0025110347,0.006721296,0.0041622086,0.015783746,0.0042356197,0.005854033,0.0016886661],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008287734,0.00003754509,0.00038057734,0.00015843294,0.00002092429,0.00019194023,0.0007264198,0.0023755345,0.0011562463,0.9507905,0.0069667897,0.037186883],"study_design_scores_gemma":[0.000011757453,0.000014723795,0.0006798307,0.00034829308,0.000036231188,0.00056471606,0.0006023442,0.024950217,0.0018254786,0.57705677,0.39384982,0.000059949944],"about_ca_topic_score_codex":0.0110641075,"about_ca_topic_score_gemma":0.00983721,"teacher_disagreement_score":0.0110641075,"about_ca_system_score_codex":0.0033611422,"about_ca_system_score_gemma":0.0063324673,"threshold_uncertainty_score":0.029827774},"labels":[],"label_agreement":null},{"id":"W4300189689","doi":"10.1007/978-3-031-02291-3_5","title":"Visualization of Citation Networks","year":2015,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on information concepts, retrieval, and services","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Visualization; Citation; Computer science; World Wide Web; Data mining","score_opus":0.02232915278555494,"score_gpt":0.26672911382418335,"score_spread":0.2443999610386284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300189689","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1994816,0.022226837,0.473546,0.007960703,0.0027643153,0.0003976736,0.07000024,0.051321685,0.1723009],"genre_scores_gemma":[0.6065112,0.012170661,0.29952514,0.00032520053,0.0011153835,0.00055320794,0.031208608,0.005873167,0.042717483],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952674,0.00011380266,0.000042721975,0.00011691078,0.00015219215,0.000047582827],"domain_scores_gemma":[0.997417,0.0011821658,0.00030029833,0.0002772598,0.0006770187,0.00014627502],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.000851904,0.00087830814,0.0005340585,0.012703908,0.0010851584,0.0045321668,0.0007060058,0.00079223746,0.034101255],"category_scores_gemma":[0.0052413396,0.00046885872,0.0008134406,0.012852908,0.00036740335,0.002449544,0.0013198653,0.0008650656,0.0038756614],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056271657,0.0001636451,0.0128269205,0.002454212,0.00037915798,0.0006425922,0.0019897763,0.04621454,0.026164703,0.20387162,0.17329614,0.53143406],"study_design_scores_gemma":[0.00013702603,0.00008581488,0.028682288,0.0009160634,0.000318561,0.0008671208,0.0013024046,0.29855028,0.024063047,0.23475067,0.4101497,0.00017705718],"about_ca_topic_score_codex":0.004990143,"about_ca_topic_score_gemma":0.00608561,"teacher_disagreement_score":0.9872961,"about_ca_system_score_codex":0.00089388207,"about_ca_system_score_gemma":0.001108455,"threshold_uncertainty_score":0.11408001},"labels":[],"label_agreement":null},{"id":"W4301040220","doi":"10.1007/978-3-031-01881-7","title":"Fundamentals of Physical Design and Query Compilation","year":2011,"lang":"en","type":"book","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Executable; Computer science; Domain (mathematical analysis); Query language; Query optimization; RDF query language; Programming language; Software engineering; Information retrieval; Theoretical computer science; Web search query; Web query classification; Mathematics; Search engine","score_opus":0.08689146013064306,"score_gpt":0.2754796345842789,"score_spread":0.18858817445363582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301040220","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009420129,0.00911164,0.91185564,0.001297815,0.0007180635,0.00014045606,0.00045455236,0.0033726592,0.072107024],"genre_scores_gemma":[0.052783653,0.021101361,0.8014955,0.0008213975,0.0010938329,0.00088914763,0.0020086842,0.0028401513,0.11696641],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985045,0.0001887423,0.00013892612,0.00025647026,0.0008129276,0.000098412514],"domain_scores_gemma":[0.9991628,0.0003641639,0.000028956634,0.00023326665,0.00018631866,0.000024599938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012606544,0.0014127736,0.0012868863,0.0014226971,0.00090100017,0.0056155426,0.002597442,0.0012278856,0.030500658],"category_scores_gemma":[0.0035861623,0.0012373922,0.0012781011,0.0027132742,0.0023691931,0.006028117,0.0016742798,0.0022537229,0.01250029],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003776329,0.000044701545,0.00010133833,0.0007848857,0.000030236572,0.000067369154,0.00036707355,0.006568572,0.0031864403,0.61034787,0.052955315,0.32550848],"study_design_scores_gemma":[0.000022224644,0.000019351028,0.000170162,0.00021846525,0.000029939973,0.00024979704,0.00009399336,0.01914725,0.003614917,0.5574811,0.41892263,0.00003014149],"about_ca_topic_score_codex":0.0022873257,"about_ca_topic_score_gemma":0.0017364227,"teacher_disagreement_score":0.030500658,"about_ca_system_score_codex":0.0016770764,"about_ca_system_score_gemma":0.0017203761,"threshold_uncertainty_score":0.10203487},"labels":[],"label_agreement":null},{"id":"W4301134960","doi":"","title":"Clustering Attributed Relational Graphs for Information Organization CARGIO: FY07 First Quarter Report.","year":2020,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Quarter (Canadian coin); Computer science; Relational database; Data mining; Artificial intelligence; Geography; Archaeology","score_opus":0.016704154775260188,"score_gpt":0.22850744935117293,"score_spread":0.21180329457591274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301134960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036776964,0.002472764,0.7224323,0.0070871827,0.0009147841,0.0014803858,0.1574434,0.03765792,0.03373428],"genre_scores_gemma":[0.08753378,0.0018538431,0.6348842,0.00028723702,0.00026778437,0.00096218364,0.241683,0.0031150142,0.029412964],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976125,0.00063956913,0.0001275265,0.00049988955,0.0009669028,0.00015378023],"domain_scores_gemma":[0.98795575,0.0049226223,0.00046105837,0.002911119,0.003334145,0.00041520095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038464135,0.0010805292,0.0009833388,0.00708533,0.0015478794,0.0041873767,0.0019108651,0.0011802005,0.025561934],"category_scores_gemma":[0.021281457,0.0006202736,0.0017891463,0.007890193,0.0005250953,0.004668363,0.0018898185,0.0015373409,0.012923501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003734682,0.0005043766,0.00782073,0.00055590854,0.00017801452,0.000077593584,0.00044744546,0.041617814,0.0021779784,0.041557066,0.44076368,0.4639259],"study_design_scores_gemma":[0.00016570947,0.00018714738,0.013045814,0.000326152,0.0001784969,0.00017357661,0.0011041226,0.6554554,0.009128222,0.11280443,0.20733233,0.0000985824],"about_ca_topic_score_codex":0.04624303,"about_ca_topic_score_gemma":0.061634418,"teacher_disagreement_score":0.04624303,"about_ca_system_score_codex":0.0032605676,"about_ca_system_score_gemma":0.004556713,"threshold_uncertainty_score":0.091947734},"labels":[],"label_agreement":null},{"id":"W4301154865","doi":"","title":"Using Ontological Engineering to Overcome Common AI-ED Problems","year":2000,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Artificial intelligence; Software engineering","score_opus":0.0389661302417866,"score_gpt":0.2789269732395105,"score_spread":0.23996084299772388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301154865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006299681,0.004044402,0.92526275,0.020582236,0.0010833588,0.00013728616,0.00008033961,0.00040816946,0.042101804],"genre_scores_gemma":[0.20103912,0.0068340534,0.77065426,0.0041128923,0.00082482694,0.00048242795,0.00033313522,0.000309279,0.01541001],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9815719,0.010380716,0.0016931975,0.001044905,0.0045547024,0.00075457525],"domain_scores_gemma":[0.96829337,0.0170581,0.0016383686,0.00816196,0.004115925,0.0007323381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022474583,0.0013922866,0.0010987835,0.0052188085,0.005092507,0.010390006,0.0037028226,0.004303033,0.0034961628],"category_scores_gemma":[0.029008586,0.0010097524,0.0018219538,0.0040687616,0.014491767,0.024991408,0.016433194,0.008391076,0.000904948],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010616101,0.000026077467,0.0002948367,0.00024406207,0.000028151671,0.00016347811,0.0022842577,0.0012161965,0.00035181554,0.9557774,0.002010867,0.037592135],"study_design_scores_gemma":[0.000014607215,0.000023356872,0.00020533348,0.00042828408,0.000042324253,0.00054573495,0.003374022,0.011528397,0.0014822369,0.82261693,0.15968616,0.000052686348],"about_ca_topic_score_codex":0.0048017274,"about_ca_topic_score_gemma":0.0052467496,"teacher_disagreement_score":0.022474583,"about_ca_system_score_codex":0.0046242015,"about_ca_system_score_gemma":0.0067036157,"threshold_uncertainty_score":0.1188584},"labels":[],"label_agreement":null},{"id":"W4301769198","doi":"10.1007/978-3-031-01881-7_2","title":"Logical Design and User Queries","year":2011,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.10484717758373471,"score_gpt":0.2562253973501651,"score_spread":0.15137821976643037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301769198","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004057529,0.009100452,0.77504444,0.008971114,0.00048378363,0.00009889172,0.00039825402,0.0014416055,0.20040403],"genre_scores_gemma":[0.3160473,0.0128370095,0.4318743,0.0048003513,0.0015844158,0.0010018024,0.0026356387,0.0023499236,0.22686933],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99590683,0.0018210772,0.00029817296,0.0006497218,0.0011087781,0.00021533483],"domain_scores_gemma":[0.997008,0.0018594478,0.00008415062,0.0005584166,0.00041331918,0.00007655807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043659024,0.0010563155,0.001111532,0.001662606,0.0022197415,0.011577226,0.0021955548,0.0022361756,0.019155623],"category_scores_gemma":[0.009599804,0.0013109192,0.0011335437,0.0025874195,0.008221178,0.019998446,0.0028791407,0.003969124,0.005132258],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000717407,0.000008295443,0.000027185939,0.00005115309,0.0000036472268,0.000014707578,0.00039798746,0.0002645122,0.00013699345,0.9800787,0.0058284053,0.013181332],"study_design_scores_gemma":[0.0000064750748,0.0000043065234,0.000022878088,0.000038433547,0.000007391398,0.000045276887,0.00011412456,0.0017666464,0.0003682258,0.9251289,0.07249006,0.0000072602857],"about_ca_topic_score_codex":0.0024849572,"about_ca_topic_score_gemma":0.0017015769,"teacher_disagreement_score":0.019155623,"about_ca_system_score_codex":0.0036286763,"about_ca_system_score_gemma":0.0016491119,"threshold_uncertainty_score":0.06408197},"labels":[],"label_agreement":null},{"id":"W4308209730","doi":"10.3233/sw-223096","title":"Food process ontology requirements","year":2022,"lang":"en","type":"article","venue":"Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Simon Fraser University","funders":"","keywords":"Ontology; Computer science; Context (archaeology); Process ontology; Process (computing); Fork (system call); Knowledge management; Data science; Domain knowledge; Geography; Epistemology","score_opus":0.03177645722326037,"score_gpt":0.2767921835118539,"score_spread":0.24501572628859355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308209730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015098476,0.0009791317,0.60924935,0.008274173,0.001061964,0.004119345,0.04655355,0.011126433,0.30353752],"genre_scores_gemma":[0.12400365,0.0029283166,0.62779355,0.004201514,0.00038580436,0.0046920963,0.12549467,0.0073323175,0.103168115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9912356,0.0011122924,0.0013309857,0.0013945918,0.0039591966,0.00096726516],"domain_scores_gemma":[0.99247485,0.0016377348,0.00040311407,0.002014064,0.0030509108,0.00041931425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052644345,0.0017818512,0.00093858317,0.0036159533,0.0024018097,0.00692784,0.004198564,0.0042476696,0.023707652],"category_scores_gemma":[0.01149968,0.0014318915,0.003232174,0.0035591691,0.001537661,0.011772538,0.006261162,0.0046320194,0.013658647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023768589,0.00041948757,0.001732532,0.002065118,0.000112304966,0.002261655,0.0031476812,0.011070697,0.014159051,0.74209034,0.09738686,0.12531652],"study_design_scores_gemma":[0.000026214915,0.000025093152,0.000501262,0.00032530125,0.000036309724,0.00080409314,0.0008246298,0.00874867,0.004149998,0.09147713,0.89303744,0.00004372268],"about_ca_topic_score_codex":0.017768428,"about_ca_topic_score_gemma":0.016002433,"teacher_disagreement_score":0.023707652,"about_ca_system_score_codex":0.003590909,"about_ca_system_score_gemma":0.0072968034,"threshold_uncertainty_score":0.07931},"labels":[],"label_agreement":null},{"id":"W4308231464","doi":"10.21203/rs.3.rs-2174675/v1","title":"Constructing a Knowledge Graph from OpenStatistical Data: The Case of Nova ScotiaDisease Datasets","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"Linked data; RDF; Knowledge graph; Computer science; Open government; Open data; Data cube; Semantic Web; Leverage (statistics); SPARQL; Data science; Graph; Vocabulary; Information retrieval; Data mining; World Wide Web; Artificial intelligence; Theoretical computer science","score_opus":0.2311086015647364,"score_gpt":0.47273386478144713,"score_spread":0.24162526321671074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308231464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49566567,0.00094805897,0.4235206,0.011176848,0.00018327206,0.0011079272,0.024178812,0.0031707399,0.04004811],"genre_scores_gemma":[0.61539173,0.0006952128,0.35593024,0.000422747,0.000025678966,0.00016976267,0.02194054,0.00030185265,0.0051222686],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986382,0.00050458126,0.00007831615,0.00022556761,0.0004507673,0.000102596015],"domain_scores_gemma":[0.9941806,0.0035644078,0.00028996897,0.0009583822,0.0008344351,0.0001721345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020263398,0.00033815458,0.00019589516,0.0044825547,0.0019903556,0.0023129124,0.00081626227,0.0007245243,0.0017628731],"category_scores_gemma":[0.008541835,0.00021975256,0.0008827308,0.0053069596,0.0014840432,0.001890854,0.0022601385,0.00082201423,0.00026569524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022417978,0.00038442208,0.07662303,0.0011856073,0.0002478173,0.011602128,0.007852369,0.2820371,0.009913199,0.2675806,0.05117186,0.29117766],"study_design_scores_gemma":[0.000049319788,0.000068084286,0.034139667,0.00050953374,0.00015755744,0.0013464757,0.008437227,0.5962212,0.016351532,0.13402702,0.2086087,0.00008372106],"about_ca_topic_score_codex":0.28142977,"about_ca_topic_score_gemma":0.4429459,"teacher_disagreement_score":0.71857023,"about_ca_system_score_codex":0.0038239788,"about_ca_system_score_gemma":0.004024773,"threshold_uncertainty_score":0.5595833},"labels":[],"label_agreement":null},{"id":"W4309044733","doi":"10.33423/jabe.v24i5.5549","title":"Claims, Debt and Equity in REA With FIBO Extensions","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Ontology; Core (optical fiber); Debt; Set (abstract data type); Extension (predicate logic); Perspective (graphical); Business; Computer science; Epistemology; Economics; Political science; Finance; Artificial intelligence; Philosophy; Law","score_opus":0.021386958911852716,"score_gpt":0.23261510410873146,"score_spread":0.21122814519687874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309044733","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047978338,0.0017497455,0.78617305,0.0076857787,0.00033163634,0.00020241323,0.00031844497,0.0003268459,0.15523373],"genre_scores_gemma":[0.7122745,0.0011649686,0.2661384,0.0012650216,0.0003926965,0.0006204293,0.00037849913,0.00017737091,0.017588152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956806,0.0018483447,0.0004002128,0.000589841,0.0010652777,0.00041572747],"domain_scores_gemma":[0.9954033,0.0023589048,0.0005505461,0.000905015,0.0004966357,0.00028555855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008073825,0.00070952467,0.0008091192,0.0035456258,0.0031841374,0.0079785045,0.001934436,0.0027918306,0.005051392],"category_scores_gemma":[0.009579113,0.00075873727,0.0020016066,0.0029084354,0.014694613,0.024791084,0.00703216,0.0058281953,0.0009287953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028221539,0.0000039096917,0.0000696662,0.0000067631677,0.0000015918397,0.000034383556,0.00043763514,0.00043166848,0.00003852631,0.9976693,0.00013450299,0.0011692321],"study_design_scores_gemma":[0.0000048900133,0.000007241964,0.00011324417,0.00004107217,0.0000059030126,0.00008911953,0.000511686,0.004453413,0.0001127418,0.97855157,0.016097222,0.000011913229],"about_ca_topic_score_codex":0.0038186857,"about_ca_topic_score_gemma":0.003695143,"teacher_disagreement_score":0.008073825,"about_ca_system_score_codex":0.0032466704,"about_ca_system_score_gemma":0.0023545309,"threshold_uncertainty_score":0.04269898},"labels":[],"label_agreement":null},{"id":"W4310100802","doi":"10.5281/zenodo.7071698","title":"D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research","year":2022,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metadata; Computer science; Data science; State (computer science); Information retrieval; World Wide Web; Programming language","score_opus":0.09868910898531755,"score_gpt":0.3285302291203945,"score_spread":0.22984112013507693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310100802","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004336244,0.00046940427,0.002061056,0.0005022457,0.00011379838,0.0000825682,0.9806182,0.0024409234,0.009375533],"genre_scores_gemma":[0.006551618,0.0003782033,0.004593067,0.000089354726,0.00005255925,0.00011728007,0.98449045,0.0003276934,0.00339981],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781764,0.00029688166,0.00030297248,0.0003182916,0.0010845319,0.0001795895],"domain_scores_gemma":[0.9927914,0.0018670156,0.00057709013,0.0019767005,0.0018510268,0.0009368187],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0015421904,0.0008656745,0.00070935563,0.012675215,0.0009997498,0.0030882133,0.001343328,0.0017137905,0.019333133],"category_scores_gemma":[0.009859269,0.00040519642,0.0006675196,0.021030769,0.000521968,0.002877508,0.0033220144,0.0011616522,0.028288202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025471242,0.00008366825,0.0049930736,0.0016239581,0.0000665506,0.00026981308,0.0003721931,0.0014529245,0.003480955,0.005683709,0.9386179,0.04310066],"study_design_scores_gemma":[0.00007636985,0.00003346753,0.018285396,0.00021301933,0.000036252935,0.00020155421,0.0005746818,0.0013560177,0.0031244997,0.0051571806,0.9708844,0.000057239846],"about_ca_topic_score_codex":0.010886846,"about_ca_topic_score_gemma":0.01896802,"teacher_disagreement_score":0.9873248,"about_ca_system_score_codex":0.0013600509,"about_ca_system_score_gemma":0.0024041291,"threshold_uncertainty_score":0.06467575},"labels":[],"label_agreement":null},{"id":"W4311524776","doi":"10.18438/eblip30194","title":"A Mismatched Group of Items That I Would Not Find Particularly Interesting: Challenges and Opportunities with Digital Exhibits and Collections Labels","year":2022,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Context (archaeology); Point (geometry); World Wide Web; Cultural heritage; sort; Test (biology); Digital library; Information retrieval; Linguistics; Mathematics","score_opus":0.07355560288807493,"score_gpt":0.2438801891726554,"score_spread":0.17032458628458047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311524776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602289,0.0006336585,0.007910303,0.010192196,0.00040028233,0.0003348566,0.00027017202,0.0001572565,0.019872362],"genre_scores_gemma":[0.97498554,0.00041847726,0.012754611,0.0049006226,0.00012494845,0.00042575496,0.000253218,0.000116211035,0.0060206125],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9902913,0.004462885,0.0010602849,0.0010215476,0.0024502028,0.0007138036],"domain_scores_gemma":[0.97467834,0.013263292,0.0038635223,0.0025463079,0.00389989,0.0017486153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014947163,0.00028776625,0.0007075402,0.0018310542,0.0034298042,0.0047156313,0.0010095028,0.0021058717,0.0050374325],"category_scores_gemma":[0.0634025,0.00027362746,0.00046197075,0.003054709,0.0032191945,0.006269804,0.005163323,0.0018434928,0.0016353227],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082072336,0.0006241677,0.30728278,0.0014999453,0.00010501372,0.0021838525,0.34696168,0.00025368595,0.007413469,0.017666299,0.025949024,0.28923932],"study_design_scores_gemma":[0.00006231609,0.00063676474,0.1462083,0.0010902766,0.00014159337,0.0029617085,0.64179057,0.001035984,0.002931837,0.022382105,0.1805704,0.00018813307],"about_ca_topic_score_codex":0.0018638188,"about_ca_topic_score_gemma":0.0022809021,"teacher_disagreement_score":0.014947163,"about_ca_system_score_codex":0.0015597051,"about_ca_system_score_gemma":0.0019876105,"threshold_uncertainty_score":0.07904911},"labels":[],"label_agreement":null},{"id":"W4312394823","doi":"10.2139/ssrn.4285471","title":"Peer Recognition and Content Provision Online","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université Laval","funders":"","keywords":"Content (measure theory); Internet privacy; Business; Computer science; Psychology; Mathematics","score_opus":0.04610729893044851,"score_gpt":0.25354912111998246,"score_spread":0.20744182218953394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312394823","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059811708,0.0030863923,0.21225625,0.01860674,0.0033386706,0.0007539238,0.0016536849,0.006679809,0.6938128],"genre_scores_gemma":[0.5187811,0.0025211014,0.08748931,0.000894797,0.0018776439,0.00023995948,0.0023929516,0.0019151437,0.383888],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99359953,0.0015785069,0.0003638604,0.0008163929,0.003116779,0.00052491145],"domain_scores_gemma":[0.98326784,0.0043901163,0.0012814326,0.0049568713,0.004867268,0.0012365922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033902265,0.00046277512,0.0007525112,0.0039238445,0.0035140489,0.010208804,0.0019342648,0.0026793352,0.05188979],"category_scores_gemma":[0.024949905,0.00050873565,0.00052399666,0.004351227,0.0020611295,0.015926125,0.0045344587,0.0018263273,0.026447384],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021227165,0.00033654325,0.002682434,0.00036371342,0.000039214272,0.0005243765,0.0027294212,0.0018369855,0.008630362,0.41740584,0.09265812,0.47258076],"study_design_scores_gemma":[0.000038492635,0.00009145432,0.0036184653,0.00023389049,0.00006553096,0.0006806495,0.0026943968,0.015342317,0.01745368,0.31264374,0.64704365,0.00009363185],"about_ca_topic_score_codex":0.0037633288,"about_ca_topic_score_gemma":0.0030278827,"teacher_disagreement_score":0.05188979,"about_ca_system_score_codex":0.0016637739,"about_ca_system_score_gemma":0.0038126989,"threshold_uncertainty_score":0.17358863},"labels":[],"label_agreement":null},{"id":"W4312838131","doi":"10.1609/socs.v1i1.18158","title":"Preface","year":2010,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","score_opus":0.013138482652483997,"score_gpt":0.2570469753103597,"score_spread":0.2439084926578757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312838131","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015580048,0.02192627,0.016313085,0.06718356,0.41569716,0.00066122436,0.015021709,0.0021349369,0.45950413],"genre_scores_gemma":[0.010790147,0.016303858,0.0083341235,0.020277668,0.12724474,0.0006457922,0.014292047,0.0018166788,0.800295],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887794,0.00016838172,0.0000993258,0.00024014151,0.0005325735,0.0000815968],"domain_scores_gemma":[0.99006116,0.0018120176,0.00040463655,0.00063254044,0.006073741,0.0010159435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016464816,0.0012197096,0.0009047774,0.002782683,0.0019656508,0.0033745673,0.0015108495,0.0014748606,0.3471472],"category_scores_gemma":[0.016473211,0.00037608892,0.00070944894,0.0020136903,0.00071623275,0.003232913,0.0016905064,0.0041594068,0.23240139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019744013,0.000016799264,0.00005975998,0.000093667506,0.0000019299625,0.000033979166,0.000052702497,0.000057647525,0.000118335694,0.0036499286,0.972338,0.023557337],"study_design_scores_gemma":[0.0000041826474,0.000017269926,0.00022276734,0.00014346077,0.0000018617362,0.00006880756,0.000047674203,0.000038711787,0.000074640346,0.0036492124,0.99572456,0.0000067495594],"about_ca_topic_score_codex":0.0024333887,"about_ca_topic_score_gemma":0.0022770835,"teacher_disagreement_score":0.3471472,"about_ca_system_score_codex":0.0020779457,"about_ca_system_score_gemma":0.0015283964,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4313347214","doi":"10.1007/978-3-031-18223-5_4","title":"Discovering Data","year":2022,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on information concepts, retrieval, and services","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Sect; Perspective (graphical); Computer science; Information retrieval; Data science; Political science; Artificial intelligence","score_opus":0.024911050483990865,"score_gpt":0.2582608539191994,"score_spread":0.23334980343520853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313347214","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010393617,0.0068958555,0.8724391,0.006930707,0.0011456532,0.0008422531,0.018249255,0.00759725,0.07550632],"genre_scores_gemma":[0.072264336,0.011464187,0.77613944,0.002257049,0.00064891897,0.0008309375,0.06673218,0.0016549011,0.06800808],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99638176,0.00063109724,0.00028649156,0.00101884,0.0015216677,0.00016010903],"domain_scores_gemma":[0.99681026,0.0012188557,0.00012427218,0.001269219,0.00047878607,0.000098624594],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0024657266,0.0014982041,0.0012299008,0.0070585296,0.0013810648,0.0064987075,0.002507899,0.0011307762,0.021299291],"category_scores_gemma":[0.010919283,0.0010414385,0.0021688866,0.0068574524,0.0014214233,0.009286113,0.004394873,0.0023707433,0.017736474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012750394,0.00016342098,0.0026755848,0.0010451439,0.00021223204,0.0004150814,0.00070357305,0.0024666938,0.005068604,0.19310412,0.09501934,0.69899863],"study_design_scores_gemma":[0.000031136224,0.00005470433,0.0012722566,0.00074263086,0.00018052576,0.0010223258,0.0008679872,0.025181014,0.014142591,0.3091829,0.6472573,0.00006462315],"about_ca_topic_score_codex":0.0029651653,"about_ca_topic_score_gemma":0.004065374,"teacher_disagreement_score":0.9975343,"about_ca_system_score_codex":0.0013194185,"about_ca_system_score_gemma":0.0023905628,"threshold_uncertainty_score":0.07125324},"labels":[],"label_agreement":null},{"id":"W4313485769","doi":"","title":"An informational perspective on the ontology of services","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ontology; Perspective (graphical); Computer science; Knowledge management; World Wide Web; Data science; Information retrieval; Artificial intelligence; Epistemology","score_opus":0.01569999716823696,"score_gpt":0.25321724424701,"score_spread":0.23751724707877303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313485769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012762562,0.008346908,0.7644194,0.028200937,0.0010772172,0.00008720356,0.00058031734,0.0003353778,0.18419015],"genre_scores_gemma":[0.5921475,0.014680809,0.34952307,0.005109296,0.0033153435,0.00040602696,0.0013714341,0.00035516277,0.033091303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99578947,0.0019601558,0.00038345632,0.00048337286,0.0010524449,0.00033111562],"domain_scores_gemma":[0.9953048,0.002800436,0.0002639213,0.0006972406,0.0005672684,0.00036635558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054384754,0.00090799725,0.0010472385,0.0050782203,0.004552631,0.011778337,0.002701784,0.004237863,0.0055864616],"category_scores_gemma":[0.005760356,0.00094799564,0.0022015665,0.005705531,0.01350422,0.022962162,0.0041637304,0.0055708257,0.0011368186],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019452,0.0000024526864,0.000011910658,0.000012395524,0.0000013988439,0.00002142069,0.00016723922,0.00012413488,0.00004486072,0.9984875,0.00029410352,0.00083061715],"study_design_scores_gemma":[0.000005853551,0.0000055863125,0.00004198142,0.00005024159,0.0000115124785,0.00008511682,0.00024163202,0.0014301677,0.00016167347,0.9691454,0.028813958,0.0000068081804],"about_ca_topic_score_codex":0.008060947,"about_ca_topic_score_gemma":0.004177435,"teacher_disagreement_score":0.011778337,"about_ca_system_score_codex":0.0049839723,"about_ca_system_score_gemma":0.0027852843,"threshold_uncertainty_score":0.036161423},"labels":[],"label_agreement":null},{"id":"W4317000013","doi":"10.1093/llc/fqac091","title":"What gets categorized counts: Controlled vocabularies, digital affordances, and the international digital humanities conference","year":2022,"lang":"en","type":"article","venue":"Digital Scholarship in the Humanities","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Goddard Space Flight Center; Canada Research Chairs","keywords":"Digital humanities; Affordance; Vocabulary; Ontology; Process (computing); Computer science; Controlled vocabulary; Library science; Humanities; Alliance; World Wide Web; Political science; Sociology; Linguistics; Epistemology; Philosophy; Human–computer interaction; Law","score_opus":0.041304124293155844,"score_gpt":0.2399128700451515,"score_spread":0.19860874575199566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317000013","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17832273,0.0137367565,0.1844855,0.16480854,0.01228309,0.0014313926,0.0016918692,0.002070319,0.44116983],"genre_scores_gemma":[0.8806136,0.002832738,0.08513303,0.0061757965,0.00167883,0.0012150826,0.0010102066,0.0015313688,0.019809416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.83439,0.114473194,0.014811856,0.0062324065,0.026938679,0.0031539013],"domain_scores_gemma":[0.60733926,0.24860366,0.033679303,0.034139007,0.06320534,0.013033436],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.10476313,0.00044948593,0.000857671,0.015997816,0.011414701,0.040959843,0.002779521,0.0019594745,0.010475233],"category_scores_gemma":[0.34683728,0.0005396221,0.00089807494,0.010885742,0.014892303,0.026423875,0.013415935,0.0039199647,0.0015628887],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000292061,0.00010062128,0.012190073,0.0014007349,0.000095664895,0.00035016684,0.114365354,0.0009294865,0.002352057,0.60806,0.052899163,0.2069646],"study_design_scores_gemma":[0.00007315817,0.00013948846,0.009587858,0.002997047,0.00008556181,0.00035092232,0.11088898,0.0022555126,0.0026340368,0.29662624,0.5740324,0.00032873065],"about_ca_topic_score_codex":0.006364463,"about_ca_topic_score_gemma":0.010569955,"teacher_disagreement_score":0.95904016,"about_ca_system_score_codex":0.010388549,"about_ca_system_score_gemma":0.015534879,"threshold_uncertainty_score":0.554047},"labels":[],"label_agreement":null},{"id":"W4317042660","doi":"10.1145/3578708","title":"Fast and Accurate Framework for Ontology Matching in Web of Things","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Asian and Low-Resource Language Information Processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Cluster analysis; Ontology; Data mining; Information retrieval; Matching (statistics); Web of Things; Semantic Web; Interoperability; The Internet; Artificial intelligence; World Wide Web; Mathematics","score_opus":0.012046908866989009,"score_gpt":0.2703067519801377,"score_spread":0.2582598431131487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317042660","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009845404,0.0001879625,0.9969819,0.00012526053,0.000036970563,0.00009150694,0.00013444148,0.0006057559,0.00085168396],"genre_scores_gemma":[0.06290907,0.0007552626,0.9325481,0.00010680789,0.000070109214,0.00030056085,0.0013982457,0.00014639508,0.0017653625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956631,0.00082302553,0.0003807539,0.00075381296,0.0020724272,0.00030686072],"domain_scores_gemma":[0.9979873,0.0005397334,0.00024601445,0.0006015946,0.0005278661,0.00009745656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003278491,0.0010280473,0.00172139,0.005120692,0.0017578313,0.0037383456,0.0032145295,0.001853092,0.0023027994],"category_scores_gemma":[0.010320182,0.00087942183,0.0030171745,0.005334978,0.0011995889,0.0067073978,0.004923148,0.002348175,0.0018926626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009560771,0.00014799598,0.00225123,0.00048901263,0.0002096038,0.00081743894,0.00042329216,0.23287708,0.0053684083,0.47479126,0.012717831,0.2698112],"study_design_scores_gemma":[0.000011143512,0.000022352424,0.0003524314,0.00006158086,0.00003172506,0.00027509386,0.00015852276,0.824606,0.0019326166,0.15258396,0.019927911,0.000036681457],"about_ca_topic_score_codex":0.01179456,"about_ca_topic_score_gemma":0.0115600135,"teacher_disagreement_score":0.01179456,"about_ca_system_score_codex":0.002276333,"about_ca_system_score_gemma":0.0033342394,"threshold_uncertainty_score":0.023451805},"labels":[],"label_agreement":null},{"id":"W4317829607","doi":"10.36680/j.itcon.2023.002","title":"How typical is your project? The need for a no-model approach for information management in AEC","year":2023,"lang":"en","type":"article","venue":"Journal of Information Technology in Construction","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Knowledge management; Computer science; Stakeholder; Scope (computer science); Data science; Process management; Engineering","score_opus":0.025726719752511007,"score_gpt":0.26976472874164914,"score_spread":0.24403800898913813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317829607","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014514961,0.0028224133,0.6485095,0.23969126,0.00088850653,0.00044264985,0.00030359463,0.0004985092,0.0923286],"genre_scores_gemma":[0.37211576,0.0028971606,0.59385145,0.016633274,0.00094689656,0.0012928514,0.00053945644,0.0003621102,0.011361041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95729,0.02463631,0.002420814,0.004468253,0.009808912,0.0013757308],"domain_scores_gemma":[0.9076714,0.04830922,0.0054122256,0.017392436,0.015298203,0.005916669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03592825,0.0010201966,0.0013954007,0.0070701297,0.0073025324,0.03070586,0.0058751116,0.00815221,0.0034765205],"category_scores_gemma":[0.06608891,0.001408527,0.0015607732,0.005726151,0.025778612,0.06681968,0.012567131,0.011118128,0.0016545525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017254293,0.000045112207,0.0007952817,0.0001624886,0.00002042618,0.000097835604,0.0044834903,0.0014769649,0.00016952504,0.9610448,0.0048838,0.026803058],"study_design_scores_gemma":[0.000014183376,0.000029188895,0.00030835104,0.0003922042,0.000015594647,0.00022104882,0.0066860965,0.010472388,0.00022277934,0.89955235,0.08203006,0.0000558371],"about_ca_topic_score_codex":0.012911177,"about_ca_topic_score_gemma":0.011871073,"teacher_disagreement_score":0.03592825,"about_ca_system_score_codex":0.020615144,"about_ca_system_score_gemma":0.01626927,"threshold_uncertainty_score":0.190009},"labels":[],"label_agreement":null},{"id":"W4317875992","doi":"","title":"Ontology usage in Omics Standards Initiatives: Pros and Cons of enriching XML data formats with controlled vocabulary terms","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"cons; Computer science; Ontology; XML; Vocabulary; World Wide Web; Information retrieval; Controlled vocabulary; Programming language","score_opus":0.0189282255155137,"score_gpt":0.2588608053954077,"score_spread":0.23993257987989397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317875992","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1335646,0.010867585,0.73742557,0.04025547,0.0018308888,0.0004550457,0.001533858,0.0026294591,0.071437515],"genre_scores_gemma":[0.55529666,0.010335169,0.41034406,0.008160214,0.0013595091,0.00057764456,0.0030390823,0.0036814795,0.0072061555],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.90845305,0.046015944,0.011526141,0.0059437337,0.025437118,0.002624063],"domain_scores_gemma":[0.7821993,0.12968531,0.013364194,0.05003093,0.021692393,0.00302779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0865572,0.0009087685,0.0015337003,0.010459921,0.003223722,0.02097284,0.0032069602,0.0037374932,0.002226962],"category_scores_gemma":[0.13234836,0.00122981,0.0017990798,0.020217441,0.008901846,0.035897657,0.011868858,0.005696814,0.00089635147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033225663,0.00017415952,0.011090532,0.0013664224,0.00019907251,0.0002134254,0.009263151,0.0020561018,0.0089233015,0.78650033,0.00691086,0.17297037],"study_design_scores_gemma":[0.0001048759,0.00022680085,0.009001568,0.003919121,0.000552008,0.0012651534,0.009383321,0.017370122,0.030871246,0.5377072,0.38933086,0.00026767058],"about_ca_topic_score_codex":0.0057173236,"about_ca_topic_score_gemma":0.005226072,"teacher_disagreement_score":0.0865572,"about_ca_system_score_codex":0.004399221,"about_ca_system_score_gemma":0.007038586,"threshold_uncertainty_score":0.45776373},"labels":[],"label_agreement":null},{"id":"W4318769465","doi":"10.51349/veg.2023.1.01","title":"Modelizaciones computacionales para la comprensión de fenómenos históricos y sociales","year":2023,"lang":"es","type":"article","venue":"Vegueta Anuario de la Facultad de Geografía e Historia","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arthur B. McDonald-Canadian Astroparticle Physics Research Institute","funders":"","keywords":"Art; Sociology","score_opus":0.04879986532558266,"score_gpt":0.31741670674639816,"score_spread":0.2686168414208155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318769465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011792019,0.0035241519,0.9498887,0.0037734152,0.00049319415,0.00024973848,0.0025524197,0.0052032573,0.022523087],"genre_scores_gemma":[0.21691589,0.0068814643,0.75443125,0.00057271484,0.00032224166,0.00070634764,0.0061062262,0.0010502225,0.013013689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99702626,0.0012537984,0.000256179,0.00057464145,0.0007802865,0.000108845954],"domain_scores_gemma":[0.99475795,0.0028635024,0.0002504119,0.0014825112,0.00053387915,0.00011172336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003990286,0.001695816,0.0013765128,0.0025681516,0.0014104135,0.010747825,0.003266783,0.0021802327,0.0077386973],"category_scores_gemma":[0.015403625,0.0010444715,0.0028204138,0.0039115823,0.0023541814,0.014489961,0.0035510696,0.0037367318,0.0031094651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028917845,0.00022580728,0.0055865026,0.0016588727,0.0006346564,0.00041760763,0.0023351645,0.122508354,0.0024874394,0.6457314,0.01672337,0.20140167],"study_design_scores_gemma":[0.00005690086,0.000035706944,0.00083009654,0.0006176998,0.00026081267,0.00017597646,0.0010039998,0.36127576,0.002566957,0.5042436,0.12886184,0.0000705756],"about_ca_topic_score_codex":0.016435977,"about_ca_topic_score_gemma":0.019984456,"teacher_disagreement_score":0.016435977,"about_ca_system_score_codex":0.0022132,"about_ca_system_score_gemma":0.003041744,"threshold_uncertainty_score":0.03268063},"labels":[],"label_agreement":null},{"id":"W4319310207","doi":"10.1109/ickg55886.2022.00007","title":"Keynotes","year":2022,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.013225311483526925,"score_gpt":0.21203185823174758,"score_spread":0.19880654674822065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319310207","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010011275,0.008147314,0.0031504175,0.12263405,0.24186347,0.00036314395,0.0057836724,0.0011889165,0.6158679],"genre_scores_gemma":[0.0077738343,0.0033662533,0.0011827755,0.02541903,0.022413915,0.000257539,0.003262831,0.0006294578,0.9356945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99784064,0.00035483507,0.00014444743,0.00045140577,0.0009050465,0.00030354664],"domain_scores_gemma":[0.99529266,0.00097013457,0.0002005957,0.0003833067,0.0019502703,0.0012030705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002342039,0.0009427076,0.00089323154,0.0019057629,0.0032340505,0.0045588524,0.0017048011,0.0032579885,0.5129395],"category_scores_gemma":[0.012476662,0.00031909678,0.00080465653,0.0015942416,0.0007443236,0.00376818,0.004106554,0.0049534286,0.30968258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004152769,0.000013442653,0.00005841439,0.000060373306,0.0000018622657,0.0000472282,0.00006285726,0.000018632438,0.00010658305,0.008719039,0.97488946,0.015980536],"study_design_scores_gemma":[0.0000038646945,0.000005790611,0.00008730843,0.000042458345,0.000001402396,0.00003759951,0.000062378844,0.000012629897,0.000056178156,0.001264536,0.998423,0.0000029056714],"about_ca_topic_score_codex":0.0038420344,"about_ca_topic_score_gemma":0.0061501116,"teacher_disagreement_score":0.5129395,"about_ca_system_score_codex":0.0030487725,"about_ca_system_score_gemma":0.002762225,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4319661652","doi":"10.1155/2023/3267820","title":"Exploring the Structure of IoT Data: A Symbolic Analysis Perspective","year":2023,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Automatic summarization; Abstraction; Symbolic data analysis; GRASP; Focus (optics); Perspective (graphical); Feature (linguistics); Categorical variable; The Symbolic; Data mining; Domain (mathematical analysis); Data structure; Information retrieval; Data science; Artificial intelligence; Theoretical computer science; Programming language; Machine learning","score_opus":0.12890321884127498,"score_gpt":0.3354088208140566,"score_spread":0.20650560197278162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319661652","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034812868,0.0010936,0.9517655,0.0035625144,0.00007313168,0.00018011639,0.0011733269,0.0005963896,0.006742555],"genre_scores_gemma":[0.39693087,0.0020696223,0.5962244,0.00032693788,0.00014760156,0.000377503,0.0022087751,0.00013286287,0.0015814155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99694,0.0011607526,0.00024861476,0.00043653935,0.0010462961,0.00016781225],"domain_scores_gemma":[0.99036914,0.0062898993,0.0010018955,0.0013057538,0.0008024877,0.00023087676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024125653,0.00083724275,0.0007123757,0.005733845,0.0015118186,0.0055373544,0.0015855378,0.00083722436,0.0026307215],"category_scores_gemma":[0.017464824,0.00041472274,0.0012180557,0.0071887057,0.0051283175,0.009699879,0.0039586946,0.0019778418,0.00054447993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024239084,0.00014991392,0.012436903,0.0010201441,0.00011380567,0.0012479783,0.013868238,0.05169552,0.009515565,0.5941328,0.0053139376,0.31026283],"study_design_scores_gemma":[0.00002660907,0.000109087196,0.0039733644,0.00037370328,0.000065370004,0.0005684779,0.0058938977,0.31166777,0.004696899,0.64236367,0.030157078,0.00010406503],"about_ca_topic_score_codex":0.005279052,"about_ca_topic_score_gemma":0.0040553007,"teacher_disagreement_score":0.005733845,"about_ca_system_score_codex":0.001601921,"about_ca_system_score_gemma":0.0025516222,"threshold_uncertainty_score":0.01275903},"labels":[],"label_agreement":null},{"id":"W4323240643","doi":"10.5220/0011614400003393","title":"Chop-SAT: A New Approach to Solving SAT and Probabilistic SAT for Agent Knowledge Bases","year":2023,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Probabilistic logic; Computer science; Theoretical computer science; Artificial intelligence","score_opus":0.08643300901689485,"score_gpt":0.30370719401846213,"score_spread":0.21727418500156728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323240643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021694007,0.00020769914,0.98941886,0.0004435703,0.000100943944,0.00016401173,0.0005157948,0.002934142,0.0040455842],"genre_scores_gemma":[0.054358482,0.00030914834,0.9373715,0.00042817116,0.00016011753,0.00035095972,0.0019211107,0.00083466,0.0042657796],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965917,0.0011560746,0.00025891856,0.00068050093,0.0010169965,0.00029596678],"domain_scores_gemma":[0.99243516,0.00481968,0.00022327657,0.0015258854,0.0007903788,0.00020562141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028931624,0.0018138195,0.0022978615,0.0025611827,0.0018030411,0.0043358086,0.007127608,0.0025610523,0.02104768],"category_scores_gemma":[0.014419134,0.001806822,0.004793388,0.004137332,0.0026280908,0.009296995,0.008424709,0.0069646034,0.0036511782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039177763,0.00042989865,0.0016522233,0.0014535482,0.00062882423,0.00036591227,0.00056782237,0.21482979,0.002460191,0.29178745,0.046115596,0.43931705],"study_design_scores_gemma":[0.00009637046,0.000036785612,0.00020574506,0.000073351985,0.00013126632,0.00010527868,0.00013242486,0.5951839,0.0017390627,0.3865052,0.015756017,0.000034632303],"about_ca_topic_score_codex":0.0083627235,"about_ca_topic_score_gemma":0.02321404,"teacher_disagreement_score":0.02104768,"about_ca_system_score_codex":0.0021515328,"about_ca_system_score_gemma":0.003672305,"threshold_uncertainty_score":0.0704115},"labels":[],"label_agreement":null},{"id":"W4323660834","doi":"10.33137/ic.v19i.40158","title":"On Communication and Information Exchange: A Personal View","year":2023,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Information exchange; Computer science; Communication; Psychology; Telecommunications","score_opus":0.016742849251388598,"score_gpt":0.23536131116723122,"score_spread":0.2186184619158426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323660834","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019031407,0.3857164,0.0015078459,0.37063247,0.010239674,0.000029239025,0.00016793532,0.000053446765,0.22974992],"genre_scores_gemma":[0.07066473,0.6198461,0.0018775384,0.15266904,0.034852825,0.00017033894,0.00013497865,0.00013414414,0.11965023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956376,0.002073327,0.00020918244,0.00066485966,0.0010406063,0.00037456842],"domain_scores_gemma":[0.9924799,0.0053364094,0.00024724184,0.00039025888,0.00089486066,0.00065123336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040412107,0.0014431821,0.0012574531,0.0038754353,0.008231414,0.024050338,0.0016288015,0.0123424055,0.017125025],"category_scores_gemma":[0.00454235,0.0005916404,0.000488646,0.008829831,0.023165688,0.035875615,0.006714318,0.014141016,0.005265713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033994445,0.00009979867,0.0005158106,0.00096143276,0.000031248594,0.00040618898,0.03178456,0.0002778384,0.00023789224,0.43544424,0.46838093,0.061826058],"study_design_scores_gemma":[0.0000053718118,0.00002193235,0.0004006113,0.0019781035,0.0000085331585,0.0003065838,0.008296833,0.000084353815,0.000053559263,0.03946277,0.94936764,0.000013657605],"about_ca_topic_score_codex":0.006272687,"about_ca_topic_score_gemma":0.007987651,"teacher_disagreement_score":0.9937273,"about_ca_system_score_codex":0.006644725,"about_ca_system_score_gemma":0.005752532,"threshold_uncertainty_score":0.057288945},"labels":[],"label_agreement":null},{"id":"W4323844321","doi":"10.18280/isi.280104","title":"Efficient Criteria Based Method for Selection of Relevant Ontologies in Transport Domain","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Instituto Politécnico Nacional","keywords":"Selection (genetic algorithm); Computer science; Domain (mathematical analysis); Artificial intelligence; Mathematics","score_opus":0.023730517748721647,"score_gpt":0.2882665357469465,"score_spread":0.26453601799822485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323844321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021245327,0.00041007524,0.97141874,0.00030302527,0.00004680918,0.00061324146,0.00039023592,0.0005565334,0.00501601],"genre_scores_gemma":[0.15908246,0.0002616124,0.8365043,0.00010947445,0.00002614549,0.0005527913,0.0011379765,0.00010516565,0.0022200907],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960907,0.0011615801,0.00041289403,0.0005385256,0.001521802,0.0002745192],"domain_scores_gemma":[0.99631435,0.0019012152,0.00023532419,0.0001569717,0.0012748772,0.00011726738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030321751,0.0011569456,0.00096272427,0.0056659495,0.001579873,0.0030344937,0.001477815,0.001433393,0.0038114367],"category_scores_gemma":[0.008926815,0.0004148884,0.0015624155,0.0039912886,0.000588159,0.001912005,0.0016671331,0.0008604959,0.00066724356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003191346,0.00063116435,0.0059677484,0.0011791579,0.00025417653,0.0010180431,0.0014931491,0.112342246,0.023026405,0.04494865,0.013565496,0.7952546],"study_design_scores_gemma":[0.000121192,0.00014836012,0.0028377194,0.00024197668,0.00019107167,0.00048050354,0.0013108704,0.9182194,0.014612113,0.0394498,0.022312628,0.00007432867],"about_ca_topic_score_codex":0.010844029,"about_ca_topic_score_gemma":0.012881737,"teacher_disagreement_score":0.010844029,"about_ca_system_score_codex":0.0019333833,"about_ca_system_score_gemma":0.0042969654,"threshold_uncertainty_score":0.021561801},"labels":[],"label_agreement":null},{"id":"W4327884612","doi":"10.1007/978-3-031-29056-5_17","title":"Sensor Data Integration Using Ontologies for Event Detection","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Data integration; Ontology; Data science; Context (archaeology); Information integration; Data mining; Event (particle physics); Ontology-based data integration; Information retrieval; Semantic Web","score_opus":0.09985256948011137,"score_gpt":0.3010110632502175,"score_spread":0.2011584937701061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327884612","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004552729,0.0009648692,0.98446816,0.00016556252,0.00013860456,0.000090084424,0.00032427532,0.0036745928,0.005621186],"genre_scores_gemma":[0.14518712,0.0019579544,0.8400929,0.00029737042,0.0001151094,0.00017128985,0.0034861946,0.00076683663,0.0079251835],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816954,0.00023581185,0.0002611641,0.0003670411,0.0008552949,0.00011106706],"domain_scores_gemma":[0.9988023,0.00042240164,0.00009005209,0.0003401471,0.00031245998,0.000032656004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018840168,0.0009224574,0.001119309,0.0031571847,0.00057394337,0.0037326848,0.0016771659,0.00086433435,0.0021022132],"category_scores_gemma":[0.0036082133,0.0007724105,0.0017185524,0.0037223077,0.0006355534,0.0048483396,0.0024650465,0.0012522861,0.001329127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017399795,0.00029493062,0.002215144,0.00073162385,0.0004700405,0.0006757052,0.0008391757,0.023306165,0.030354403,0.09859898,0.015605476,0.82673436],"study_design_scores_gemma":[0.000038141945,0.00008219135,0.0026792176,0.00041522874,0.00058763183,0.0010398708,0.00066547416,0.5356778,0.086898856,0.19828066,0.17350258,0.00013240625],"about_ca_topic_score_codex":0.002984473,"about_ca_topic_score_gemma":0.0037471484,"teacher_disagreement_score":0.0037326848,"about_ca_system_score_codex":0.0008216168,"about_ca_system_score_gemma":0.0009357357,"threshold_uncertainty_score":0.009963751},"labels":[],"label_agreement":null},{"id":"W4360989168","doi":"10.18280/ria.370128","title":"Improving Existing CMMS Software Packages Using Association Rules","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Software engineering; Association (psychology); Software; Programming language; Psychology","score_opus":0.08845797128630593,"score_gpt":0.30691837031327274,"score_spread":0.2184603990269668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360989168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2144412,0.001977318,0.70955795,0.00091480097,0.00025645882,0.0006902791,0.0062936884,0.060755447,0.0051127938],"genre_scores_gemma":[0.33335096,0.0010427432,0.6470791,0.0002541019,0.0000684246,0.00031577147,0.014755522,0.0010111637,0.0021221498],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973054,0.00035069571,0.0004031893,0.00075440126,0.0010667028,0.00011964752],"domain_scores_gemma":[0.988981,0.0054377792,0.0012694333,0.0017415311,0.0023387976,0.00023154274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003895922,0.0020984625,0.0011179588,0.006139596,0.000589313,0.0018452186,0.0026936324,0.0009157481,0.0013732165],"category_scores_gemma":[0.016748134,0.0007395856,0.0019010386,0.004398281,0.00034222135,0.003095418,0.0010573777,0.0016109999,0.001227235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052311673,0.0008133273,0.042577833,0.0006360092,0.0003562981,0.00053105626,0.0003192876,0.08251807,0.00889796,0.0020265458,0.010025449,0.85077506],"study_design_scores_gemma":[0.000068454836,0.0002862717,0.012532636,0.00013022746,0.00024864502,0.00036483924,0.00014636254,0.94790685,0.015415154,0.005168527,0.017654348,0.00007754243],"about_ca_topic_score_codex":0.008919186,"about_ca_topic_score_gemma":0.009392523,"teacher_disagreement_score":0.008919186,"about_ca_system_score_codex":0.0006986597,"about_ca_system_score_gemma":0.0015186592,"threshold_uncertainty_score":0.020603836},"labels":[],"label_agreement":null},{"id":"W4362578722","doi":"10.29173/iq1051","title":"View points on data points: A shared vocabulary for cross-domain conversations on data and metadata","year":2023,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metadata; Computer science; Data element; Metadata repository; Information retrieval; Terminology; Variety (cybernetics); Data dictionary; Vocabulary; Domain (mathematical analysis); Data mapping; Documentation; Metadata modeling; World Wide Web; Database; Linguistics; Artificial intelligence; Programming language","score_opus":0.11816087100015535,"score_gpt":0.35696418965400056,"score_spread":0.23880331865384521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362578722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009400258,0.0013711216,0.9336317,0.01790589,0.0006764291,0.0005345884,0.0008090421,0.0009094214,0.034761496],"genre_scores_gemma":[0.28183037,0.0027736204,0.69218534,0.0053307354,0.0007256803,0.0021935666,0.0030549136,0.0017062314,0.010199471],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9573006,0.027285755,0.006175517,0.0030618806,0.004959518,0.0012167366],"domain_scores_gemma":[0.94447064,0.028355572,0.0036346712,0.013395824,0.007908931,0.0022343711],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0529662,0.0014137627,0.0023377102,0.012034057,0.008063288,0.021708546,0.005589241,0.008359513,0.0044615255],"category_scores_gemma":[0.060757153,0.0018851757,0.0025733355,0.014737952,0.027700467,0.049501505,0.018862065,0.014692999,0.0025642798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017406217,0.000011572857,0.00037781836,0.000102965336,0.00001199498,0.00017753562,0.031151861,0.00029293826,0.00060789136,0.9545325,0.004271767,0.008443794],"study_design_scores_gemma":[0.000026484064,0.00003043443,0.0006012365,0.0007639408,0.00003587626,0.0007322436,0.026917223,0.003239151,0.0009020607,0.6876629,0.27899653,0.00009203858],"about_ca_topic_score_codex":0.010401548,"about_ca_topic_score_gemma":0.005368055,"teacher_disagreement_score":0.97829145,"about_ca_system_score_codex":0.007577643,"about_ca_system_score_gemma":0.011274532,"threshold_uncertainty_score":0.28011537},"labels":[],"label_agreement":null},{"id":"W4363652187","doi":"10.1016/j.aei.2023.101962","title":"Context-driven ontology-based risk identification for onshore wind farm projects: A domain-specific approach","year":2023,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of General Medical Sciences; National Institutes of Health; Canada First Research Excellence Fund","keywords":"Identification (biology); Ontology; Context (archaeology); Risk analysis (engineering); Computer science; Reuse; Risk management; Project risk management; Process (computing); Risk assessment; Knowledge management; Engineering; Systems engineering; Project management; Project management triangle; Business; Geography; Computer security","score_opus":0.02083643050473127,"score_gpt":0.23712416719659254,"score_spread":0.21628773669186127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363652187","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061465517,0.00033788226,0.9321017,0.00036250235,0.000037425467,0.00023138126,0.00049726473,0.0007460511,0.004220233],"genre_scores_gemma":[0.67759347,0.0003666684,0.31884637,0.000079008634,0.000027518729,0.00016627554,0.0010142622,0.000096289914,0.0018100952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981529,0.00046748828,0.00016366916,0.00033259226,0.0006911803,0.00019218202],"domain_scores_gemma":[0.9981635,0.00067950325,0.00028802193,0.00023602686,0.00052789244,0.00010506612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018239288,0.00074477954,0.00094608724,0.003215419,0.00076746754,0.0024054754,0.0014221923,0.0011404738,0.0011342485],"category_scores_gemma":[0.0050937277,0.00044849512,0.0016697884,0.0025467023,0.00054227025,0.0025900195,0.0021158976,0.0010223238,0.00030037112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022401517,0.0008257543,0.0267568,0.00058560894,0.00047546145,0.0018266566,0.0013868113,0.5953563,0.0148095675,0.07332456,0.004142434,0.28028604],"study_design_scores_gemma":[0.0000082344,0.000035671692,0.003250185,0.00006397836,0.00008602409,0.00022165317,0.00045033594,0.96616715,0.0026009053,0.024043608,0.0030407535,0.000031461637],"about_ca_topic_score_codex":0.0082256235,"about_ca_topic_score_gemma":0.012945009,"teacher_disagreement_score":0.0082256235,"about_ca_system_score_codex":0.0011391102,"about_ca_system_score_gemma":0.0021128173,"threshold_uncertainty_score":0.016355455},"labels":[],"label_agreement":null},{"id":"W4365150918","doi":"10.1111/hdi.13024","title":"ISSUE INFORMATION","year":2023,"lang":"en","type":"paratext","venue":"Hemodialysis International","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Medicine; Internet privacy; World Wide Web; Computer science","score_opus":0.0198524246810368,"score_gpt":0.28194322948345657,"score_spread":0.26209080480241975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365150918","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027173533,0.00129905,0.0011031226,0.005082966,0.021531181,0.00077524415,0.060746808,0.002234437,0.9069555],"genre_scores_gemma":[0.0010924422,0.0013460343,0.0009796759,0.0023531606,0.0026921034,0.0003192843,0.02163968,0.0007921595,0.9687854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987508,0.00011109623,0.00013508533,0.00018528431,0.00068290957,0.00013472496],"domain_scores_gemma":[0.9945568,0.000809047,0.000306773,0.0005225137,0.0023947167,0.0014102483],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012197602,0.0012162363,0.0016090048,0.006455218,0.0016828057,0.008470433,0.002149704,0.0030430197,0.8969141],"category_scores_gemma":[0.008159543,0.0006019607,0.0009023718,0.006690699,0.0005638811,0.003592771,0.002399835,0.0019611462,0.7837778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013725913,0.000020764268,0.000038366998,0.00030534412,0.0000016254156,0.000025930372,0.0000128578085,0.00002771225,0.00010723658,0.0012859183,0.9666608,0.031499647],"study_design_scores_gemma":[0.000007098367,0.0000054175416,0.00016527911,0.0001125722,0.0000016580419,0.000018805993,0.0000223958,0.000024552517,0.00004918811,0.00059237145,0.9989967,0.0000038749076],"about_ca_topic_score_codex":0.002919312,"about_ca_topic_score_gemma":0.0069831987,"teacher_disagreement_score":0.103085876,"about_ca_system_score_codex":0.0011304844,"about_ca_system_score_gemma":0.0030992285,"threshold_uncertainty_score":0.14703941},"labels":[],"label_agreement":null},{"id":"W4365504031","doi":"10.32920/ryerson.14645331.v2","title":"Adopt: A Context-Aware Domain Ontology-Based Framework for Public Transportation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ontology; Domain (mathematical analysis); Computer science; Context (archaeology); Face (sociological concept); Data science; Process ontology; Public domain; Knowledge management; World Wide Web; Domain knowledge; Sociology; Epistemology; Geography; Mathematics","score_opus":0.10755416688759946,"score_gpt":0.316971750888037,"score_spread":0.20941758400043753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365504031","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027202044,0.0003869766,0.97873735,0.0008520857,0.00016633788,0.00021024971,0.0013137187,0.0058180112,0.00979502],"genre_scores_gemma":[0.10228525,0.0015838707,0.8773253,0.00051803596,0.00011879166,0.0005676391,0.004545244,0.0010519297,0.012003954],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922705,0.00014665457,0.000083295105,0.00012787462,0.00032377263,0.000091375754],"domain_scores_gemma":[0.999699,0.000055645545,0.00003914974,0.00007796779,0.00006914595,0.000059096696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012585771,0.0007734402,0.00075865054,0.0022238216,0.0016254621,0.0042277896,0.00234012,0.0017311259,0.0042614406],"category_scores_gemma":[0.0018291929,0.00067147234,0.001982248,0.002210625,0.0014073284,0.00485982,0.004263511,0.0026064955,0.0017944734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005757409,0.0001112843,0.0011897674,0.00026215578,0.00010613902,0.00057680433,0.0012783528,0.035833586,0.0037999914,0.849408,0.025861755,0.08151467],"study_design_scores_gemma":[0.00004665888,0.00003254418,0.0007192439,0.00024002147,0.00014568288,0.0005119408,0.0009011073,0.22889346,0.0034514754,0.24126276,0.5236918,0.00010335962],"about_ca_topic_score_codex":0.030314427,"about_ca_topic_score_gemma":0.055998962,"teacher_disagreement_score":0.030314427,"about_ca_system_score_codex":0.0020301242,"about_ca_system_score_gemma":0.0035840757,"threshold_uncertainty_score":0.060275912},"labels":[],"label_agreement":null},{"id":"W4366286488","doi":"10.1186/s13326-023-00284-w","title":"Constructing a knowledge graph for open government data: the case of Nova Scotia disease datasets","year":2023,"lang":"en","type":"article","venue":"Journal of Biomedical Semantics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cape Breton University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Linked data; RDF; Open government; Open data; SPARQL; Semantic Web; Data science; Graph; Vocabulary; Knowledge graph; Government (linguistics); Data cube; Information retrieval; Data mining; World Wide Web; Theoretical computer science","score_opus":0.08305450426609681,"score_gpt":0.36456553413449067,"score_spread":0.2815110298683938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366286488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29609263,0.0008259139,0.62097186,0.011956709,0.00019629965,0.0013347167,0.018730473,0.0029104333,0.04698104],"genre_scores_gemma":[0.44839495,0.0005605241,0.5280656,0.0005331635,0.000021421609,0.00021809696,0.016714597,0.0003473003,0.005144343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99747485,0.0008661352,0.00018137951,0.00047805326,0.0008062734,0.00019323626],"domain_scores_gemma":[0.99132043,0.004686876,0.00045058847,0.0015623294,0.0016805443,0.00029920292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031879279,0.0002704402,0.0002652528,0.0048266514,0.0028925983,0.0030779073,0.0010358207,0.00073441543,0.0010975908],"category_scores_gemma":[0.0122296335,0.00027593816,0.0010501331,0.006011577,0.0018465724,0.0027207383,0.0028498743,0.0010839278,0.00023223889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017700615,0.0002923472,0.04638077,0.0010425317,0.00020874798,0.0076578204,0.011797865,0.17724556,0.0075862766,0.48434246,0.037835624,0.22543299],"study_design_scores_gemma":[0.00004548208,0.000069844245,0.028270867,0.00076845346,0.00020174688,0.001514531,0.01214806,0.41935,0.017613752,0.21796755,0.30192304,0.00012656208],"about_ca_topic_score_codex":0.47158772,"about_ca_topic_score_gemma":0.61173016,"teacher_disagreement_score":0.5284123,"about_ca_system_score_codex":0.0075720865,"about_ca_system_score_gemma":0.008625255,"threshold_uncertainty_score":0.93768555},"labels":[],"label_agreement":null},{"id":"W4366809524","doi":"10.1353/rss.2007.0014","title":"Meinong’s Version of the Description Theory","year":2007,"lang":"en","type":"article","venue":"Russell the Journal of Bertrand Russell Studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Object (grammar); Uniqueness; Domain (mathematical analysis); Computer science; Simple (philosophy); Epistemology; Calculus (dental); Philosophy; Mathematics; Artificial intelligence","score_opus":0.02756358597603327,"score_gpt":0.26563078619389313,"score_spread":0.23806720021785988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366809524","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007723751,0.012636122,0.28731838,0.032557484,0.002008913,0.00016736878,0.0012130659,0.00042271192,0.6559522],"genre_scores_gemma":[0.6503503,0.008161934,0.16188537,0.016449962,0.0029220814,0.0008815158,0.0012844597,0.00043028235,0.1576342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99636674,0.0012814377,0.00027713377,0.00078679505,0.0009901994,0.00029769223],"domain_scores_gemma":[0.9981059,0.00084030454,0.00009980333,0.0004997735,0.00036144597,0.00009273994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042756116,0.0010309058,0.0010079128,0.0030136297,0.0032421672,0.00762879,0.0019199902,0.004198574,0.010708902],"category_scores_gemma":[0.004736722,0.0007501213,0.0017594275,0.0025835976,0.013918155,0.015320706,0.0036867333,0.0056156893,0.0025411653],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032983935,0.0000017884242,0.00001236193,0.000010313838,0.000002084421,0.0000090534495,0.00012508205,0.00006576943,0.000014451238,0.9970624,0.0010991816,0.0015942683],"study_design_scores_gemma":[0.000009954604,0.000004981246,0.000031641157,0.00002716924,0.0000044768003,0.000047253354,0.000035996178,0.000466597,0.00008635099,0.9444812,0.054795675,0.000008728987],"about_ca_topic_score_codex":0.00523782,"about_ca_topic_score_gemma":0.0028322588,"teacher_disagreement_score":0.010708902,"about_ca_system_score_codex":0.010133108,"about_ca_system_score_gemma":0.0030696925,"threshold_uncertainty_score":0.07352114},"labels":[],"label_agreement":null},{"id":"W4367281628","doi":"10.1007/978-3-031-31414-8","title":"Reasoning Web. Causality, Explanations and Declarative Knowledge","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Brock University","keywords":"Computer science; Semantic Web; Causal reasoning; Causality (physics); Social Semantic Web; World Wide Web; Programming language; Cognitive science; Natural language processing; Cognition","score_opus":0.03494517916912287,"score_gpt":0.2998754125673112,"score_spread":0.26493023339818833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367281628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008670953,0.07750736,0.62967795,0.011973407,0.0021175107,0.00017099825,0.0023730376,0.003544457,0.26396433],"genre_scores_gemma":[0.23870228,0.06184346,0.4002549,0.0035806422,0.0025730452,0.00045498533,0.010081408,0.0012725733,0.28123674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99966586,0.00007370924,0.000038924478,0.000062690895,0.00014099924,0.000017764216],"domain_scores_gemma":[0.9989999,0.0006693985,0.000069250316,0.00012924145,0.00010757352,0.000024740231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007461857,0.0011797734,0.0007111257,0.0019423226,0.0006447066,0.0036557086,0.0012102799,0.00148559,0.012370029],"category_scores_gemma":[0.0028522129,0.0010903411,0.0008733914,0.002959996,0.0015485066,0.008138343,0.0014925282,0.0024139795,0.0035516093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049197453,0.00009830584,0.00035680717,0.0006536299,0.00005803891,0.00025669596,0.0002910976,0.00881094,0.0006474439,0.67836124,0.061613113,0.24880342],"study_design_scores_gemma":[0.000015620299,0.0000047456115,0.00015327724,0.00012260074,0.000028216302,0.00023509245,0.00005054764,0.009422101,0.0006790971,0.9373003,0.051978692,0.000009768707],"about_ca_topic_score_codex":0.0034834293,"about_ca_topic_score_gemma":0.003537688,"teacher_disagreement_score":0.012370029,"about_ca_system_score_codex":0.0010006231,"about_ca_system_score_gemma":0.00076284254,"threshold_uncertainty_score":0.041381836},"labels":[],"label_agreement":null},{"id":"W4367860590","doi":"10.4230/dagrep.13.1.68","title":"Frontiers of Information Access Experimentation for Research and Education (Dagstuhl Seminar 23031)","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Leipzig; Universität Duisburg-Essen; Universiteit Antwerpen; Leibniz-Gemeinschaft; Bauhaus-Universität Weimar; National Institute of Standards and Technology; National Institute of Informatics; Göteborgs Universitet; Universität Regensburg; University of Waterloo; Friedrich-Schiller-Universität Jena; Universitat de València; Università degli Studi di Padova; Technische Universiteit Eindhoven; Universiteit Maastricht; Technische Universität Wien; Technische Universiteit Delft; Clemson University; RMIT University; Universiteit van Amsterdam; Brandeis University; University of Cambridge","keywords":"Relevance (law); Computer science; Point (geometry); Information access; Order (exchange); Data science; World Wide Web; Knowledge management; Political science","score_opus":0.28293491977538315,"score_gpt":0.3252982494585003,"score_spread":0.042363329683117124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367860590","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044553123,0.03261306,0.21913238,0.3537302,0.038076118,0.0044489875,0.0090465145,0.0067229364,0.2916766],"genre_scores_gemma":[0.3773442,0.0134479655,0.21771853,0.028409164,0.011827056,0.010745793,0.010298182,0.0050724032,0.32513672],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9683279,0.01597168,0.0010270322,0.0026424632,0.0071606045,0.004870395],"domain_scores_gemma":[0.96979105,0.009675447,0.00093551114,0.0030962788,0.004958442,0.011543337],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0692441,0.0013565775,0.001274049,0.0021489707,0.003207035,0.011184975,0.0033934196,0.0054101343,0.048060056],"category_scores_gemma":[0.04008444,0.0010425304,0.001263445,0.0018590904,0.0051635723,0.0073536225,0.017608175,0.0071549867,0.025499903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011581097,0.0010669068,0.0009220788,0.0006096748,0.000050387476,0.00031262182,0.0032142424,0.0018896133,0.0064333635,0.25032726,0.46041992,0.27359572],"study_design_scores_gemma":[0.0003497432,0.00078135467,0.0031920813,0.0005434301,0.000022819433,0.00015210874,0.0008968213,0.0019692585,0.00610706,0.1268623,0.85902864,0.00009435122],"about_ca_topic_score_codex":0.002776372,"about_ca_topic_score_gemma":0.002692723,"teacher_disagreement_score":0.988815,"about_ca_system_score_codex":0.008411228,"about_ca_system_score_gemma":0.01399646,"threshold_uncertainty_score":0.36620218},"labels":[],"label_agreement":null},{"id":"W4375956690","doi":"","title":"TimeInfo : un Schéma d'Annotation Sémantique pour l'Information Temporelle dans les Articles Scientifiques","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Annotation; Information retrieval; Semantic annotation; Temporal annotation; Data science; Natural language processing; Artificial intelligence; Natural language","score_opus":0.02184445108079872,"score_gpt":0.23167902247518224,"score_spread":0.20983457139438352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375956690","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006320022,0.0009478089,0.83636,0.0031869523,0.0022020515,0.0003416941,0.06975102,0.04696966,0.03392083],"genre_scores_gemma":[0.08734675,0.0040666084,0.6410179,0.00249712,0.0016373583,0.0017013636,0.16335694,0.032446463,0.06592946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99646384,0.0007536533,0.000870496,0.0006658589,0.0010623498,0.00018391294],"domain_scores_gemma":[0.9894098,0.0043181954,0.0009242082,0.002595338,0.0023668667,0.00038563323],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0048106154,0.0017294318,0.001353526,0.0066113956,0.0018606527,0.009399488,0.0013433376,0.003110701,0.024837554],"category_scores_gemma":[0.012916387,0.0014440041,0.0015788896,0.006913283,0.0019399002,0.012430849,0.002433515,0.003222043,0.019119136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010865298,0.00013395333,0.0029057234,0.0014156464,0.00009489994,0.0006627981,0.0042358586,0.0049237437,0.015950074,0.48236272,0.29352608,0.192702],"study_design_scores_gemma":[0.000054602086,0.000026822841,0.00079162826,0.000238569,0.000058764977,0.00031198285,0.0004191425,0.0061429525,0.010089151,0.045821097,0.9359603,0.0000849488],"about_ca_topic_score_codex":0.014407022,"about_ca_topic_score_gemma":0.007768119,"teacher_disagreement_score":0.9906005,"about_ca_system_score_codex":0.0027804016,"about_ca_system_score_gemma":0.0050587817,"threshold_uncertainty_score":0.08308989},"labels":[],"label_agreement":null},{"id":"W4377093524","doi":"10.2196/48468","title":"Correction: Performance of a Web-Based Reference Database With Natural Language Searching Capabilities: Usability Evaluation of DynaMed and Micromedex With Watson","year":2023,"lang":"en","type":"erratum","venue":"JMIR Human Factors","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Watson; Usability; Computer science; Information retrieval; World Wide Web; Medicine; Database; Natural language processing; Human–computer interaction","score_opus":0.03809822220114434,"score_gpt":0.31370139726655577,"score_spread":0.27560317506541143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377093524","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006013709,0.0008464112,0.0025871336,0.08677843,0.8995188,0.000068052344,0.0025717847,0.001563557,0.0054645264],"genre_scores_gemma":[0.045052107,0.007488437,0.023104373,0.17459741,0.19297558,0.0006261073,0.008149315,0.010177796,0.537829],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9912545,0.0011570639,0.001623947,0.0008321767,0.0047249324,0.0004073894],"domain_scores_gemma":[0.9134452,0.018467246,0.002408987,0.004145334,0.059871063,0.0016621749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005479836,0.0018122224,0.0015109018,0.0043995595,0.0046930304,0.0038932448,0.0034622224,0.0061966623,0.053738642],"category_scores_gemma":[0.1218511,0.0010258816,0.0016147585,0.0029155572,0.0028231766,0.0022001015,0.0020355645,0.008724769,0.03229915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040727875,0.000008879246,0.00008661255,0.00012254814,0.000010581324,0.00033562424,0.00008630713,0.00004227193,0.00009685327,0.00067025214,0.99137527,0.0071240542],"study_design_scores_gemma":[0.000055891607,0.000044040138,0.0010690351,0.0005173017,0.00006317544,0.0010242535,0.00027040113,0.0005177753,0.000989936,0.0010638603,0.9943065,0.000077878496],"about_ca_topic_score_codex":0.05315743,"about_ca_topic_score_gemma":0.05095733,"teacher_disagreement_score":0.053738642,"about_ca_system_score_codex":0.0050821584,"about_ca_system_score_gemma":0.007221115,"threshold_uncertainty_score":0.17977363},"labels":[],"label_agreement":null},{"id":"W4377200550","doi":"10.1007/978-3-031-32883-1_3","title":"Automatic Execution of the Ontological Piloting Procedures","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Ontology; Semantic reasoner; Task (project management); Domain (mathematical analysis); Precondition; Software engineering; Domain knowledge; Human–computer interaction; Programming language; Artificial intelligence; Systems engineering","score_opus":0.0305981254710687,"score_gpt":0.2592375615015126,"score_spread":0.2286394360304439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377200550","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027340971,0.00011563057,0.9114765,0.00023235111,0.00013346682,0.00042015366,0.0005076019,0.051706925,0.00806632],"genre_scores_gemma":[0.28121203,0.00016237368,0.7025175,0.00019944836,0.00005488551,0.00038273347,0.002472617,0.005515873,0.007482514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971852,0.00072052825,0.00016876169,0.00045596366,0.0011482252,0.00032128496],"domain_scores_gemma":[0.9928509,0.0037440967,0.00032480608,0.0017829784,0.0010840177,0.00021327585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025433975,0.0012857701,0.0009393552,0.0017816392,0.001259005,0.0026110923,0.0015501974,0.0010177696,0.01601512],"category_scores_gemma":[0.014376092,0.0008491967,0.0011662019,0.0008626324,0.0010876837,0.0026558607,0.0031601351,0.0016193397,0.007338678],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010805008,0.0003846806,0.004463161,0.00057197444,0.00007930449,0.0011018905,0.0016414097,0.016099716,0.07694921,0.041779134,0.027828762,0.8280203],"study_design_scores_gemma":[0.00016734438,0.00026329228,0.006391242,0.00031389642,0.00018838985,0.0010462506,0.0012591026,0.5188114,0.2903817,0.07573684,0.10519144,0.00024909497],"about_ca_topic_score_codex":0.0048607974,"about_ca_topic_score_gemma":0.0034517993,"teacher_disagreement_score":0.01601512,"about_ca_system_score_codex":0.0006855952,"about_ca_system_score_gemma":0.0026735947,"threshold_uncertainty_score":0.053575873},"labels":[],"label_agreement":null},{"id":"W4377200557","doi":"10.1007/978-3-031-32883-1_16","title":"Integrating an Ontological Reference Model of Piloting Procedures in ACT-R Cognitive Architecture to Simulate Piloting Tasks","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Cognitive architecture; Cognition; Cognitive model; Architecture; Human–computer interaction; Function (biology); Key (lock); Replicate; Field (mathematics); Declarative memory; Artificial intelligence; Psychology","score_opus":0.07183298808177459,"score_gpt":0.3106141102076346,"score_spread":0.23878112212586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377200557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09774011,0.00006690995,0.86922187,0.00032902573,0.00007329849,0.00022618861,0.0004737173,0.0028157884,0.029053068],"genre_scores_gemma":[0.62526214,0.00010264046,0.36378753,0.00009511502,0.000008217366,0.00030095008,0.00081913744,0.00034580225,0.009278512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994361,0.0002526378,0.00004307762,0.00008623887,0.00013855126,0.000043327585],"domain_scores_gemma":[0.99909925,0.00034634626,0.0000530319,0.00024453187,0.00021409454,0.00004277442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009019803,0.0004982575,0.00027744524,0.00066633074,0.00049675064,0.0020234596,0.0012215031,0.0010836563,0.0054979366],"category_scores_gemma":[0.0033020268,0.0003795526,0.00074950606,0.0004165465,0.00079632696,0.0021320102,0.00091719936,0.0008849655,0.0013910552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036481433,0.00050915376,0.0036796166,0.00029631105,0.000084700376,0.0004362539,0.004949848,0.42771813,0.031506833,0.41077524,0.004075935,0.11560322],"study_design_scores_gemma":[0.000043855387,0.00013004769,0.0011237771,0.000064037085,0.00007534957,0.00009953602,0.00036078156,0.92122537,0.010556754,0.04706635,0.0192029,0.000051231327],"about_ca_topic_score_codex":0.016158747,"about_ca_topic_score_gemma":0.0148191545,"teacher_disagreement_score":0.016158747,"about_ca_system_score_codex":0.0013950326,"about_ca_system_score_gemma":0.0017280573,"threshold_uncertainty_score":0.032129407},"labels":[],"label_agreement":null},{"id":"W4377690744","doi":"10.20944/preprints202305.1662.v1","title":"A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Conceptualization; Ontology; Computer science; Artificial intelligence; Representation (politics); Knowledge management; Software engineering; Epistemology","score_opus":0.18953515163255216,"score_gpt":0.3683660315417702,"score_spread":0.17883087990921806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377690744","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012119769,0.00012810303,0.9796229,0.0013782094,0.000032882857,0.00006890706,0.000052117553,0.00013009789,0.0064670364],"genre_scores_gemma":[0.4123418,0.00030456146,0.58408535,0.00030971447,0.000052081967,0.00025924423,0.00017664123,0.000064746375,0.0024058342],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99537104,0.0027164735,0.0003566842,0.0004500168,0.00084284385,0.00026297357],"domain_scores_gemma":[0.99398017,0.0027928788,0.00073971215,0.0015168692,0.00060674216,0.0003635474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006305069,0.0004910509,0.0006029351,0.0019802577,0.002071709,0.0072313193,0.002518653,0.0021565107,0.002118639],"category_scores_gemma":[0.008303138,0.00061837764,0.0014562877,0.001853504,0.006726751,0.013703676,0.0062734894,0.0030722294,0.00036388222],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027063586,0.00004800575,0.0004163132,0.00006593536,0.000024377434,0.00013054369,0.0016081446,0.019239612,0.0009748031,0.9648832,0.0003223711,0.012259627],"study_design_scores_gemma":[0.000033901433,0.000050304156,0.00022721796,0.00009430357,0.000040201397,0.00015112455,0.001052357,0.15308315,0.0013954089,0.8299674,0.013860208,0.000044472334],"about_ca_topic_score_codex":0.0041276203,"about_ca_topic_score_gemma":0.0044497144,"teacher_disagreement_score":0.0072313193,"about_ca_system_score_codex":0.0028056363,"about_ca_system_score_gemma":0.0037441093,"threshold_uncertainty_score":0.033344805},"labels":[],"label_agreement":null},{"id":"W4380355772","doi":"10.1613/jair.1.14157","title":"Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Directorate-General for Communications Networks, Content and Technology; European Regional Development Fund; Generalitat Valenciana; Social Sciences and Humanities Research Council of Canada; Defense Advanced Research Projects Agency; European Commission; Universitat Politècnica de València; Future of Life Institute","keywords":"Generality; Computer science; Human–computer interaction; Cognition; Process (computing); Artificial intelligence; Cognitive science; Psychology; Programming language","score_opus":0.5477049452645087,"score_gpt":0.5082094541283876,"score_spread":0.039495491136121164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380355772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8465572,0.0017894603,0.11406737,0.0025671807,0.00009175559,0.00073400163,0.00026086788,0.00063965895,0.03329261],"genre_scores_gemma":[0.97643,0.00028052193,0.022342976,0.00019692151,0.000022019602,0.00011377277,0.00011579291,0.000069360314,0.0004285987],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97315174,0.019023217,0.0011926229,0.0023549136,0.0037275036,0.0005500514],"domain_scores_gemma":[0.6783847,0.2810946,0.009728445,0.018935397,0.007948028,0.0039087213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.051521476,0.0007838203,0.00057118415,0.0023316615,0.0012348066,0.006615697,0.001196363,0.002039442,0.003152858],"category_scores_gemma":[0.27822107,0.00051121064,0.00079317257,0.0012414574,0.0066346577,0.014223977,0.0069035273,0.002331261,0.0004400025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007466722,0.0012802812,0.23837689,0.0029582123,0.0009939843,0.0006033153,0.07660978,0.071756594,0.017736513,0.07008133,0.00521477,0.50692165],"study_design_scores_gemma":[0.0006285766,0.007821455,0.3218131,0.0023533301,0.0009689876,0.0020523742,0.06102499,0.31726784,0.027100172,0.23263682,0.025293138,0.0010392835],"about_ca_topic_score_codex":0.0026047556,"about_ca_topic_score_gemma":0.0025207838,"teacher_disagreement_score":0.051521476,"about_ca_system_score_codex":0.0023050988,"about_ca_system_score_gemma":0.0009678712,"threshold_uncertainty_score":0.27247488},"labels":[],"label_agreement":null},{"id":"W4380520759","doi":"10.6000/1929-4409.2020.09.277","title":"A Society that Counts to Two Again","year":2022,"lang":"en","type":"article","venue":"International Journal of Criminology and Sociology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Prism; Object (grammar); Observer (physics); Digital society; Digital era; Position (finance); Sociology; Computer science; Media studies; Artificial intelligence; Business; World Wide Web; Optics; The Internet; Physics","score_opus":0.07622824037581512,"score_gpt":0.3361861052704521,"score_spread":0.259957864894637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380520759","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015145966,0.0043931776,0.015289642,0.06302208,0.006892114,0.00011601102,0.00027543854,0.00044611597,0.89441955],"genre_scores_gemma":[0.5382273,0.004855643,0.015066864,0.03622792,0.0023709591,0.0003574044,0.0004557508,0.0006100167,0.40182808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963768,0.0013784186,0.00016984178,0.0007129076,0.00080894644,0.0005530669],"domain_scores_gemma":[0.99675,0.0003694288,0.00027838757,0.00090859283,0.0007274027,0.00096617243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017712808,0.0009242262,0.00077124505,0.0021233258,0.010014289,0.0124123525,0.00084462995,0.0041905753,0.037047528],"category_scores_gemma":[0.005305794,0.000348901,0.0005472484,0.0018392105,0.019494483,0.014225508,0.010520902,0.0050637685,0.012617207],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030671286,0.00004079737,0.00078488997,0.00007746367,0.000021894397,0.00019973163,0.011355761,0.000059866197,0.00047267074,0.9076916,0.057551164,0.021713378],"study_design_scores_gemma":[0.000008124198,0.000026956333,0.0004267219,0.00015147465,0.0000073199794,0.00021307333,0.0077677015,0.000060854883,0.00007820774,0.180304,0.8109349,0.000020654523],"about_ca_topic_score_codex":0.006255471,"about_ca_topic_score_gemma":0.006639336,"teacher_disagreement_score":0.037047528,"about_ca_system_score_codex":0.0030559201,"about_ca_system_score_gemma":0.007249495,"threshold_uncertainty_score":0.123936355},"labels":[],"label_agreement":null},{"id":"W4380787184","doi":"10.1007/978-3-031-34444-2","title":"Web Engineering","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université de Versailles Saint-Quentin-en-Yvelines; Universidad de Extremadura; Universitat Oberta de Catalunya; Universidade Federal do Rio Grande do Norte; Universidad de Castilla-La Mancha; Università degli Studi di Brescia; Indian Institute of Technology Indore; Universitatea din București; RWTH Aachen University; Technische Universität Berlin; Novosibirsk State Technical University; Università di Bologna; Tallinna Tehnikaülikool; University of Hertfordshire; Universitat Jaume I; Oracle; Orta Doğu Teknik Üniversitesi; Universidad de Málaga; Consejo Nacional de Investigaciones Científicas y Técnicas; Università di Pisa; Euskal Herriko Unibertsitatea; Technische Universiteit Delft; Erasmus Universiteit Rotterdam; Aalto-Yliopisto; Università degli Studi dell'Aquila; Technische Universiteit Eindhoven; Helsingin Yliopisto; Macquarie University; Universidad de Alicante; Sorbonne Université; Technische Universität Chemnitz; Universiteit Gent; Universität Leipzig; Universidad de Sevilla; State University of New York; Fachhochschule Bielefeld; Universität Bielefeld; Universidad Nacional de La Plata; Korea Advanced Institute of Science and Technology; CA Technologies; University of Ottawa; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Computer science; Semantic Web; Web modeling; World Wide Web; Data Web; Web standards; Web engineering; Social Semantic Web; Semantic Web Stack; Web development; Web intelligence; Web service; Software engineering","score_opus":0.015804919380065653,"score_gpt":0.23636066252280874,"score_spread":0.2205557431427431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380787184","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017997526,0.004080667,0.118597016,0.002859508,0.0014160769,0.00013160014,0.00074705883,0.003101262,0.8672671],"genre_scores_gemma":[0.022927236,0.005945397,0.042666197,0.0010903907,0.000457327,0.00011739171,0.0020794987,0.0014033873,0.9233131],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992204,0.00010055101,0.000036837024,0.00010425025,0.00049050775,0.000047475653],"domain_scores_gemma":[0.9994591,0.00010181941,0.000014170178,0.00022290087,0.00016260055,0.000039334172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006828763,0.0006784701,0.00039967176,0.0018634018,0.0007874292,0.0039683664,0.0008350179,0.0010567427,0.087250136],"category_scores_gemma":[0.0017007096,0.00041622377,0.00043246037,0.0017817722,0.0005758278,0.0040384363,0.0019222128,0.0014785695,0.061799522],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022286353,0.0000915278,0.00015760503,0.00023156875,0.000009940039,0.00012729038,0.00018370144,0.00089802494,0.00264561,0.26611573,0.21194252,0.51757425],"study_design_scores_gemma":[0.0000034093985,0.000007560403,0.00012460868,0.000083803636,0.000004125175,0.00019452213,0.000058910045,0.0014542481,0.0019633586,0.070118174,0.9259814,0.000005835661],"about_ca_topic_score_codex":0.0010221944,"about_ca_topic_score_gemma":0.0012713736,"teacher_disagreement_score":0.087250136,"about_ca_system_score_codex":0.00070934725,"about_ca_system_score_gemma":0.0007890257,"threshold_uncertainty_score":0.2918808},"labels":[],"label_agreement":null},{"id":"W4383182341","doi":"10.5281/zenodo.8107377","title":"LEAF: Developing Streamlined Digital Scholarly Workflows with the Linked Editing Academic Framework","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Guelph","funders":"","keywords":"Workflow; Computer science; World Wide Web; Digital library; Multimedia; Software engineering; Database","score_opus":0.056639663854533166,"score_gpt":0.2767987376912659,"score_spread":0.22015907383673272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383182341","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007417148,0.0002016282,0.90166336,0.0006790308,0.00022658086,0.0006175819,0.0010774737,0.07063144,0.017485758],"genre_scores_gemma":[0.061328538,0.00036484134,0.9030398,0.0002518547,0.00006781086,0.000525062,0.006670269,0.010082564,0.017669251],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971692,0.00088766165,0.0002496407,0.000517303,0.00091654237,0.0002596954],"domain_scores_gemma":[0.99420136,0.0023603023,0.00023547029,0.0016165335,0.00089487195,0.0006913],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007484703,0.0011037766,0.0006126366,0.0028092633,0.0021985727,0.0069197225,0.0032171034,0.0015765692,0.015703341],"category_scores_gemma":[0.016287742,0.00085345877,0.001572549,0.0021449765,0.0017332548,0.008749303,0.007003,0.002568237,0.00697942],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056087563,0.0006400176,0.001925131,0.0012170138,0.00012937858,0.0011270775,0.01068051,0.028784068,0.01948883,0.20836897,0.09937567,0.6277025],"study_design_scores_gemma":[0.0002740231,0.00017286326,0.0011950907,0.0004432661,0.000068586174,0.0006979134,0.0027926844,0.15890841,0.022199482,0.1146209,0.69837624,0.0002505641],"about_ca_topic_score_codex":0.007891223,"about_ca_topic_score_gemma":0.010101924,"teacher_disagreement_score":0.99308026,"about_ca_system_score_codex":0.0018348973,"about_ca_system_score_gemma":0.00398649,"threshold_uncertainty_score":0.05253291},"labels":[],"label_agreement":null},{"id":"W4383268306","doi":"10.1007/978-3-031-33617-1_2","title":"Ontologies and Data Models for Cross-platform Social Media Data","year":2023,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Toronto Metropolitan University; McGill University; Dalhousie University","funders":"","keywords":"Social media; Computer science; World Wide Web; Diversity (politics); Data science; Cross-platform; Volume (thermodynamics); Population; Internet privacy; Sociology","score_opus":0.2630577814211636,"score_gpt":0.3610759831896757,"score_spread":0.09801820176851211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383268306","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021625974,0.0024392914,0.9783149,0.0033553024,0.0005519674,0.0001873976,0.0026560794,0.0020397103,0.008292761],"genre_scores_gemma":[0.05598046,0.006563984,0.90551203,0.0012950051,0.0005608917,0.0007311886,0.01479956,0.0013658935,0.013191125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944384,0.0014829802,0.0011647452,0.00078132254,0.001888503,0.00024398536],"domain_scores_gemma":[0.99379516,0.0028592867,0.00041250937,0.0019680567,0.00074670376,0.00021826687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007705817,0.0012024186,0.001495033,0.005662499,0.0019368127,0.011854863,0.0029265496,0.0026670508,0.0037040156],"category_scores_gemma":[0.015670767,0.0016306893,0.0029838558,0.01043482,0.0028051694,0.020853924,0.005094907,0.0047575156,0.0027971524],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043913704,0.00007687327,0.00070911803,0.0004577816,0.00011187,0.00033249927,0.0009174814,0.010624377,0.001614129,0.8361436,0.027319187,0.12164923],"study_design_scores_gemma":[0.0000115516295,0.000017393222,0.00039385553,0.00039768117,0.00008757785,0.00040003422,0.00042967842,0.05605807,0.0022253518,0.66551936,0.2743993,0.000060156537],"about_ca_topic_score_codex":0.010377609,"about_ca_topic_score_gemma":0.011111654,"teacher_disagreement_score":0.011854863,"about_ca_system_score_codex":0.0032256534,"about_ca_system_score_gemma":0.0036147386,"threshold_uncertainty_score":0.04075277},"labels":[],"label_agreement":null},{"id":"W4383747467","doi":"10.14293/s2199-ssp-am23-01030","title":"ROR and Organizational Identifier Interoperability in Publishing Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Identifier; Metadata; Computer science; World Wide Web; Publishing; Political science","score_opus":0.02659504046430212,"score_gpt":0.24416765044503125,"score_spread":0.21757260998072914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383747467","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016939301,0.002418939,0.8185602,0.018137867,0.0011682287,0.0004652426,0.0016229415,0.0099324435,0.13075477],"genre_scores_gemma":[0.48497957,0.003458103,0.42255613,0.0052068084,0.0022967688,0.0010996611,0.0061549335,0.006030236,0.068217754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.91568446,0.040358063,0.0131851435,0.013182433,0.013483366,0.004106688],"domain_scores_gemma":[0.871979,0.041988157,0.01057125,0.06316908,0.010255406,0.0020372001],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.044673465,0.0007616553,0.001860952,0.006666569,0.0056152735,0.02531488,0.0054590907,0.00679516,0.027265953],"category_scores_gemma":[0.101145685,0.0018910905,0.0028477153,0.008567091,0.013340454,0.07403701,0.0191649,0.005567469,0.014106356],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027246111,0.000031033887,0.00081683364,0.0001295907,0.000021837212,0.000098873636,0.0013615836,0.0014497278,0.00028553914,0.9588128,0.005232483,0.031732403],"study_design_scores_gemma":[0.000040363073,0.00007814794,0.0008297503,0.0002665536,0.00003966729,0.0005292787,0.0012238054,0.011016613,0.002249415,0.7156475,0.26797095,0.000107922235],"about_ca_topic_score_codex":0.0039683967,"about_ca_topic_score_gemma":0.0011849744,"teacher_disagreement_score":0.97468513,"about_ca_system_score_codex":0.0060331677,"about_ca_system_score_gemma":0.0059036314,"threshold_uncertainty_score":0.23625863},"labels":[],"label_agreement":null},{"id":"W4384207297","doi":"10.4000/revuehn.3336","title":"Le projet QDMTL : modéliser les quartiers disparus de Montréal avec des données ouvertes et liées","year":2023,"lang":"fr","type":"article","venue":"Humanités numériques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.0894582395499331,"score_gpt":0.28364816670653337,"score_spread":0.19418992715660027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384207297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11072569,0.0014348751,0.7920882,0.0023730043,0.00025157843,0.0012684804,0.02854828,0.03249189,0.030818038],"genre_scores_gemma":[0.25579944,0.0015329032,0.664179,0.00039788778,0.000046675057,0.0007478122,0.03913911,0.003127082,0.03503005],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984273,0.00025216772,0.00012657643,0.00045099412,0.00062470883,0.00011835444],"domain_scores_gemma":[0.9982886,0.0004989712,0.00010308501,0.00038421527,0.00058676186,0.00013830893],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0018164944,0.0011531167,0.00065373984,0.0025413856,0.0019309958,0.0046371096,0.0025103253,0.0010903297,0.00797792],"category_scores_gemma":[0.0053017465,0.00091131375,0.0023984404,0.0032544427,0.0014476156,0.004452544,0.0031475963,0.0018783405,0.0020133255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096394436,0.00042591107,0.059089392,0.0024250343,0.0006037427,0.0020777874,0.015422441,0.22414783,0.02945258,0.14758818,0.06896674,0.44883645],"study_design_scores_gemma":[0.00010317395,0.00013721222,0.020739775,0.00041602764,0.0002519997,0.0004746509,0.0040285443,0.35074154,0.021095127,0.024939157,0.57679087,0.0002818925],"about_ca_topic_score_codex":0.59661776,"about_ca_topic_score_gemma":0.59178555,"teacher_disagreement_score":0.9974897,"about_ca_system_score_codex":0.007641335,"about_ca_system_score_gemma":0.0090179145,"threshold_uncertainty_score":0.8115157},"labels":[],"label_agreement":null},{"id":"W4384405916","doi":"10.1145/3606699","title":"Comparing Heuristic Rules and Masked Language Models for Entity Alignment in the Literature Domain","year":2023,"lang":"en","type":"article","venue":"Journal on Computing and Cultural Heritage","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Heuristics; Computer science; Heuristic; Variety (cybernetics); Identifier; Metadata; Set (abstract data type); Preprocessor; Domain (mathematical analysis); Information retrieval; Tree (set theory); Natural language processing; Data science; Data mining; Artificial intelligence; World Wide Web; Programming language","score_opus":0.032749333852038334,"score_gpt":0.28884495631924156,"score_spread":0.25609562246720324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384405916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3064053,0.0025170103,0.67080927,0.0018328114,0.00043294937,0.00061468827,0.003300823,0.008720196,0.005367023],"genre_scores_gemma":[0.6663339,0.00062525657,0.32248813,0.0007117049,0.00011933481,0.00046883198,0.007101311,0.00046757841,0.0016839958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9914971,0.004507533,0.000951298,0.0016452912,0.0010085077,0.00039012494],"domain_scores_gemma":[0.9579043,0.034872018,0.0015011245,0.0026284596,0.0025543754,0.00053980213],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.011283488,0.0015373571,0.001344943,0.0041369,0.0011679416,0.003723691,0.0022364438,0.0019976716,0.0021421402],"category_scores_gemma":[0.03805064,0.0007680291,0.0017637198,0.002965567,0.00096581987,0.0058949073,0.0017594812,0.0020979054,0.0016442921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027014795,0.0010967565,0.02300737,0.0008427448,0.0008797763,0.0005397022,0.0013039057,0.47568205,0.0047102175,0.020867357,0.011518022,0.45685065],"study_design_scores_gemma":[0.00006256401,0.00015402294,0.0013475778,0.00005104062,0.00008200045,0.0001223837,0.00026109096,0.9766815,0.0026649288,0.016747585,0.0017725633,0.000052826515],"about_ca_topic_score_codex":0.016186917,"about_ca_topic_score_gemma":0.019269556,"teacher_disagreement_score":0.9958631,"about_ca_system_score_codex":0.0021110263,"about_ca_system_score_gemma":0.004028764,"threshold_uncertainty_score":0.05967349},"labels":[],"label_agreement":null},{"id":"W4385474931","doi":"10.5281/zenodo.8207318","title":"A SUCCINCT PROGRAMMING LANGUAGE WITH A NATIVE DATABASE COMPONENT","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Component (thermodynamics); Computer science; Programming language; First-generation programming language; Database; Programming paradigm","score_opus":0.04049674826032028,"score_gpt":0.27357672571161207,"score_spread":0.23307997745129178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385474931","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00092940725,0.00010523713,0.98220426,0.0002467648,0.000058379435,0.00009812088,0.0010458529,0.010991208,0.0043207956],"genre_scores_gemma":[0.025944166,0.00043116842,0.9458814,0.0009159349,0.00010072637,0.0006001789,0.004025293,0.0049501094,0.017150965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741435,0.00051149906,0.0005025255,0.0004549184,0.000902422,0.00021422467],"domain_scores_gemma":[0.9971896,0.0009933003,0.00023365208,0.00070494344,0.0007037602,0.00017471635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002959671,0.001270179,0.0007822925,0.0011192439,0.00072536204,0.0049197157,0.003876433,0.0012183901,0.016760388],"category_scores_gemma":[0.0051219696,0.001644541,0.0012869978,0.0015233967,0.001433176,0.0065682526,0.0036340025,0.003977875,0.011810805],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054828555,0.00029093228,0.0011104896,0.0015073116,0.00008623196,0.0005065522,0.0015460216,0.015743814,0.021964949,0.636263,0.082777105,0.23765533],"study_design_scores_gemma":[0.00020432996,0.00016597766,0.00049030187,0.0003619965,0.00007012344,0.0014789479,0.00018604878,0.101205215,0.024185603,0.23047055,0.64100593,0.00017502086],"about_ca_topic_score_codex":0.0011568443,"about_ca_topic_score_gemma":0.0013391541,"teacher_disagreement_score":0.016760388,"about_ca_system_score_codex":0.00085280876,"about_ca_system_score_gemma":0.0016499464,"threshold_uncertainty_score":0.056069076},"labels":[],"label_agreement":null},{"id":"W4385562813","doi":"10.25071/1708-6701.33792","title":"CAML Conference 2011 – Programme and Abstracts / Congrès de l'ACBM 2011 – Programme du congrès et résumés de communications","year":2011,"lang":"fr","type":"article","venue":"CAML Review / Revue de l ACBM","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Documentation; Library science; Humanities; Computer science; Art; Programming language","score_opus":0.24654459182868851,"score_gpt":0.34714195174907575,"score_spread":0.10059735992038724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385562813","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046208417,0.2668983,0.005313484,0.15269189,0.17350583,0.0007957459,0.005710352,0.001261634,0.3892019],"genre_scores_gemma":[0.027295759,0.16157356,0.008431108,0.01607828,0.051507246,0.0011695285,0.008744153,0.0011488722,0.7240515],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959531,0.0008247638,0.00022307574,0.00035696797,0.0021648672,0.0004772766],"domain_scores_gemma":[0.9916966,0.0009697194,0.0005235593,0.00040862933,0.0047478224,0.001653622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0058354773,0.0011225846,0.001090685,0.005404757,0.0021944311,0.009323551,0.0020187823,0.0029850022,0.11968021],"category_scores_gemma":[0.008766185,0.00039507414,0.0011494528,0.004246347,0.0014947555,0.0047513763,0.00329392,0.0030782982,0.054708526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007632709,0.000042992455,0.0001375007,0.00067775487,0.000011777113,0.000069744456,0.00011990611,0.00010377197,0.00045137142,0.006784824,0.92877454,0.062749535],"study_design_scores_gemma":[0.000006167311,0.000011182787,0.00033391,0.0003772098,0.000004934079,0.00004020679,0.0000890202,0.000040403513,0.00019449437,0.00050566037,0.9983902,0.000006627579],"about_ca_topic_score_codex":0.02271573,"about_ca_topic_score_gemma":0.024231724,"teacher_disagreement_score":0.8803198,"about_ca_system_score_codex":0.010556389,"about_ca_system_score_gemma":0.013391054,"threshold_uncertainty_score":0.40037018},"labels":[],"label_agreement":null},{"id":"W4385636416","doi":"10.3390/appliedmath3030032","title":"A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic","year":2023,"lang":"en","type":"article","venue":"AppliedMath","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Conceptualization; Ontology; Computer science; Context (archaeology); Artificial intelligence; Knowledge representation and reasoning; Knowledge management; Epistemology; Management science; Engineering","score_opus":0.03574024947826852,"score_gpt":0.28939287577144124,"score_spread":0.2536526262931727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385636416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014700114,0.00013461662,0.97525793,0.0013288865,0.000036397774,0.00008330675,0.000065457716,0.00013237775,0.008261],"genre_scores_gemma":[0.4920476,0.00025272733,0.50433916,0.00027440413,0.000049466915,0.00030978507,0.00019829402,0.0000506944,0.0024778885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99589914,0.0023512554,0.00026197312,0.0004492785,0.0008056699,0.0002326917],"domain_scores_gemma":[0.99467456,0.0026391612,0.0005300068,0.0012855721,0.0005411825,0.0003295032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046728053,0.00045272996,0.0006182436,0.0018610955,0.0021003005,0.0057110577,0.0021659383,0.001913712,0.002410591],"category_scores_gemma":[0.007354709,0.00053113943,0.0014107702,0.0018550907,0.0050345296,0.011812914,0.0058666207,0.002627918,0.0003321011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037329413,0.000055784698,0.00057810615,0.000068526766,0.000035279805,0.00018976975,0.0020573828,0.025427153,0.0009443792,0.95324194,0.0004953394,0.016869027],"study_design_scores_gemma":[0.000038305014,0.000045639543,0.00026098904,0.00006605359,0.000042165746,0.00015193564,0.0011131009,0.2034347,0.00086028746,0.78227836,0.0116683245,0.000040131286],"about_ca_topic_score_codex":0.005042217,"about_ca_topic_score_gemma":0.0057038246,"teacher_disagreement_score":0.0057110577,"about_ca_system_score_codex":0.0025261359,"about_ca_system_score_gemma":0.0035651745,"threshold_uncertainty_score":0.024712503},"labels":[],"label_agreement":null},{"id":"W4385712138","doi":"10.1007/978-3-031-39141-5_17","title":"Scoring Ontologies for Reuse: An Approach for Fitting Semantic Requirements","year":2023,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Ontology; Reuse; Set (abstract data type); Process (computing); Selection (genetic algorithm); Information retrieval; Software engineering; Data science; Artificial intelligence; Programming language; Engineering","score_opus":0.18174248235207593,"score_gpt":0.36096108394355003,"score_spread":0.1792186015914741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385712138","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0110587645,0.00019859162,0.9800931,0.00045645956,0.000039306236,0.00024329679,0.00047402765,0.0011445609,0.0062919497],"genre_scores_gemma":[0.1108163,0.00018227023,0.8840431,0.00013224373,0.000024912899,0.0002518051,0.0012228139,0.00038552933,0.0029410082],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9828851,0.0043947776,0.001441203,0.0014976212,0.009181529,0.00059982674],"domain_scores_gemma":[0.983226,0.0070425537,0.0011464907,0.0037100948,0.0045330143,0.00034186034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008313431,0.0015934918,0.0016653325,0.008708762,0.002087261,0.0062044607,0.0042159483,0.0026825008,0.004871415],"category_scores_gemma":[0.04814892,0.0011675924,0.0024494787,0.010197988,0.0021495016,0.0095536765,0.0054976605,0.0025034633,0.0018761444],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018009939,0.0003197791,0.011327821,0.0006744578,0.00028090662,0.0005216735,0.0022951092,0.04665432,0.0071930406,0.22980908,0.018076126,0.6826677],"study_design_scores_gemma":[0.00004092416,0.0000956189,0.0029625422,0.00034157385,0.00029072855,0.0008379209,0.0021724647,0.55534333,0.012834156,0.38239515,0.042560093,0.00012545695],"about_ca_topic_score_codex":0.010121746,"about_ca_topic_score_gemma":0.016084708,"teacher_disagreement_score":0.010121746,"about_ca_system_score_codex":0.0026559,"about_ca_system_score_gemma":0.0053516054,"threshold_uncertainty_score":0.043966174},"labels":[],"label_agreement":null},{"id":"W4385753943","doi":"10.5194/ica-abs-6-124-2023","title":"Quality Assessment of the OpenStreetMap Road Network in Calgary, Alberta","year":2023,"lang":"en","type":"article","venue":"Abstracts of the ICA","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transport engineering; Quality (philosophy); Geography; Computer science; Engineering","score_opus":0.040746645438476684,"score_gpt":0.31988239196550133,"score_spread":0.27913574652702466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385753943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426843,0.0013521735,0.005963512,0.0008559131,0.00013109634,0.00024952344,0.021788247,0.00056049693,0.02641468],"genre_scores_gemma":[0.9652655,0.00052983046,0.007501492,0.000059546128,0.000019501711,0.000050233524,0.01931192,0.000118552125,0.0071434784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762577,0.00031139207,0.00014017108,0.0002543569,0.0013569777,0.00031137755],"domain_scores_gemma":[0.9929195,0.0007026487,0.00030326794,0.00036579228,0.005294522,0.000414359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020790624,0.00042733233,0.0006632168,0.006705254,0.002050892,0.0034532791,0.0015562358,0.0008609843,0.002045251],"category_scores_gemma":[0.007720813,0.00031205482,0.00042348553,0.01306206,0.0010993368,0.00101774,0.0011769952,0.0005036701,0.00052776583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011295072,0.00036148212,0.4727004,0.00073920976,0.00055525894,0.0020358914,0.0036103302,0.2830776,0.0026938403,0.020115951,0.04125458,0.17172606],"study_design_scores_gemma":[0.00010788721,0.00008791928,0.6954393,0.0003468704,0.00021488903,0.00026578637,0.0103062615,0.24212103,0.0024371026,0.0035127192,0.04504077,0.000119527926],"about_ca_topic_score_codex":0.9690635,"about_ca_topic_score_gemma":0.9823116,"teacher_disagreement_score":0.03093648,"about_ca_system_score_codex":0.018926695,"about_ca_system_score_gemma":0.014384357,"threshold_uncertainty_score":0.13732344},"labels":[],"label_agreement":null},{"id":"W4386100128","doi":"10.1007/s42979-023-02066-8","title":"A Hybrid Approach to Ontology Modularization","year":2023,"lang":"en","type":"article","venue":"SN Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Ontology; Modular programming; Process ontology; Ontology-based data integration; Suggested Upper Merged Ontology; Ontology alignment; Upper ontology; Ontology engineering; Information retrieval; Semantic heterogeneity; Data mining; Software engineering; Programming language; Semantic Web","score_opus":0.026910025129064583,"score_gpt":0.2566766009986804,"score_spread":0.2297665758696158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386100128","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041467687,0.00010332286,0.9924636,0.00016330078,0.000028024515,0.00005540938,0.00005232329,0.0009175259,0.0020697825],"genre_scores_gemma":[0.068171546,0.00021081569,0.9256535,0.00017972363,0.000050432984,0.00014818965,0.0005073568,0.0005552845,0.004523136],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975204,0.000693983,0.00022849365,0.000447658,0.0009503307,0.00015903884],"domain_scores_gemma":[0.9951692,0.0011104401,0.00020566589,0.0022438054,0.0010635401,0.00020727854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044436245,0.00066833093,0.0007945502,0.0027889472,0.0010882849,0.0030908128,0.0024458263,0.000898821,0.003414424],"category_scores_gemma":[0.005784029,0.0008189217,0.0021662011,0.002528267,0.0014175592,0.0065884893,0.0049116616,0.0022367022,0.0013000594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017935991,0.0003350945,0.0026372762,0.00046103846,0.00047714094,0.00033649203,0.0017210892,0.01698138,0.024816602,0.4651851,0.009173135,0.47769624],"study_design_scores_gemma":[0.00006899026,0.00017094462,0.0019419664,0.00024015245,0.00057958596,0.00083860505,0.00074470835,0.29277146,0.02325132,0.5817486,0.09752815,0.000115542],"about_ca_topic_score_codex":0.001841232,"about_ca_topic_score_gemma":0.0042334725,"teacher_disagreement_score":0.0044436245,"about_ca_system_score_codex":0.0008399768,"about_ca_system_score_gemma":0.0017635999,"threshold_uncertainty_score":0.023500443},"labels":[],"label_agreement":null},{"id":"W4386231745","doi":"10.1007/978-3-031-39784-4","title":"Logic, Language, Information, and Computation","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Sandia National Laboratories; Serbian Academy of Sciences and Arts; Libera Università di Bolzano; Université de Montpellier; Göteborgs Universitet; Centre National de la Recherche Scientifique; University of Nottingham; Technische Universität Wien; Universiteit van Amsterdam; Sveučilište u Zagrebu; European Association for Theoretical Computer Science; Université du Luxembourg; Sun Yat-sen University; Universidad de Buenos Aires; Akademie Věd České Republiky; Dalhousie University; Ruhr-Universität Bochum; Vrije Universiteit Amsterdam; University of Bath; University of Glasgow; Università di Bologna; Universidade de Lisboa; Portland State University; Arizona State University; Carnegie Mellon University; Division of Mathematical Sciences; Helsingin Yliopisto","keywords":"Computer science; Rule-based machine translation; Logic program; Context-free grammar; Computation; Programming language; Context (archaeology); Theoretical computer science; Artificial intelligence; Natural language processing; Logic programming","score_opus":0.016474098510423425,"score_gpt":0.2712628525454947,"score_spread":0.2547887540350713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386231745","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031848266,0.17848395,0.14834179,0.015797438,0.0031384851,0.00009256933,0.001075406,0.00094033865,0.64894515],"genre_scores_gemma":[0.16538624,0.17259581,0.1398394,0.0077129295,0.0087629445,0.00060108496,0.0036195533,0.0010880013,0.50039405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994856,0.000117686766,0.00003873469,0.00009900045,0.0002178304,0.00004109425],"domain_scores_gemma":[0.9995415,0.0002814244,0.000023207771,0.00006870978,0.000055679244,0.00002951977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062109914,0.0010604328,0.001348065,0.002445916,0.0012826236,0.007826571,0.0011960622,0.0013917238,0.020111006],"category_scores_gemma":[0.0014547055,0.00068317185,0.00071879826,0.005599956,0.005856112,0.010412088,0.0017219081,0.0035682027,0.006894945],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000841428,0.0000113781925,0.000049761737,0.00020910811,0.000009254049,0.000025045289,0.00012249708,0.00050575245,0.00021209546,0.9188838,0.041844584,0.038118165],"study_design_scores_gemma":[0.000004204666,0.000003510052,0.00006338556,0.00007756909,0.0000056133977,0.00006081202,0.00005197234,0.0006356593,0.00006643567,0.8772162,0.12180932,0.0000051828083],"about_ca_topic_score_codex":0.0031176081,"about_ca_topic_score_gemma":0.0031692567,"teacher_disagreement_score":0.020111006,"about_ca_system_score_codex":0.0030839618,"about_ca_system_score_gemma":0.0018083957,"threshold_uncertainty_score":0.06727797},"labels":[],"label_agreement":null},{"id":"W4386366940","doi":"10.3102/ip.23.2006088","title":"How Would You Design a New Neighborhood? Exploring How Multimodal Artifacts Can Facilitate Cross-Community Knowledge-Building","year":2023,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Knowledge building; Knowledge management; Data science","score_opus":0.2801838874238469,"score_gpt":0.3242983938970688,"score_spread":0.044114506473221904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386366940","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3344096,0.00063682545,0.45682874,0.011337537,0.00019668344,0.00024366553,0.00030464612,0.00078826206,0.19525415],"genre_scores_gemma":[0.888105,0.00027935,0.09728247,0.00024678448,0.000011826623,0.00009329831,0.00018330793,0.00015710111,0.013640828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9988803,0.0006971206,0.000040940395,0.0001447878,0.00013800041,0.00009877994],"domain_scores_gemma":[0.9973321,0.0012230496,0.00016761589,0.0005295421,0.00040814868,0.00033949618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023305959,0.00024271416,0.00021333703,0.00080824416,0.004041957,0.0055202655,0.0011121639,0.0013383279,0.008448215],"category_scores_gemma":[0.0074620596,0.00027833224,0.0004726879,0.0010312535,0.0027649004,0.012946052,0.004838193,0.0010623838,0.0011398228],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016536505,0.00029752383,0.015791709,0.0003791541,0.00007225684,0.0011579908,0.13485053,0.0037630883,0.0045942776,0.65299046,0.011517664,0.17442004],"study_design_scores_gemma":[0.000045296656,0.0001461161,0.0056375666,0.0004478296,0.00015290713,0.0007613089,0.18819639,0.028118396,0.0048398986,0.4150793,0.35647798,0.00009701274],"about_ca_topic_score_codex":0.009895214,"about_ca_topic_score_gemma":0.015074837,"teacher_disagreement_score":0.009895214,"about_ca_system_score_codex":0.0010895287,"about_ca_system_score_gemma":0.0015894375,"threshold_uncertainty_score":0.028262079},"labels":[],"label_agreement":null},{"id":"W4386469341","doi":"10.1007/978-3-031-42935-4","title":"Flexible Query Answering Systems","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; Universidad de Alcalá; University of North Carolina at Charlotte; Danmarks Tekniske Universitet; Universidad de Zaragoza; Akademia Górniczo-Hutnicza im. Stanislawa Staszica; Otto von Guericke University Magdeburg; Università della Calabria; Universidad de Jaén; Università degli Studi di Milano; Sorbonne Université; Universidad de Granada; University of Bristol; Orta Doğu Teknik Üniversitesi; Universiteit Gent; Università degli Studi di Milano-Bicocca; University College London; Imperial College London; European Commission; University of Alberta; Univerzita Karlova v Praze; Centre National de la Recherche Scientifique; Universidad de Castilla-La Mancha; Louisiana State University","keywords":"Computer science; Question answering; Information retrieval; Query language; Query expansion; Database","score_opus":0.02693667206491216,"score_gpt":0.26336653870652016,"score_spread":0.236429866641608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386469341","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016628014,0.0017992042,0.92106694,0.0012410908,0.00033486998,0.00031672302,0.0020010008,0.022384362,0.034227863],"genre_scores_gemma":[0.2961148,0.001431499,0.6391367,0.0007734309,0.00037334478,0.00042001688,0.012441261,0.0025503011,0.046758693],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.996756,0.0005893557,0.0002862929,0.0007308598,0.001272575,0.00036489486],"domain_scores_gemma":[0.9960813,0.0011244467,0.0000982029,0.0021358966,0.00044269022,0.00011746647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028976668,0.00095869723,0.001505436,0.0016827857,0.0016305262,0.004268583,0.0037376103,0.0016795923,0.01888631],"category_scores_gemma":[0.006581888,0.001117928,0.0012972467,0.003229186,0.0014644391,0.0074523427,0.0045819758,0.0020780405,0.008841465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007779341,0.00025759576,0.00101891,0.00047863915,0.00013880103,0.000380939,0.0006024575,0.02268315,0.025329847,0.22946522,0.0813014,0.63756514],"study_design_scores_gemma":[0.0001529184,0.00018200964,0.0008333124,0.00011766531,0.00016134976,0.0006304459,0.00031393487,0.33300012,0.027459268,0.4670621,0.16998187,0.00010498838],"about_ca_topic_score_codex":0.0025830017,"about_ca_topic_score_gemma":0.0029216935,"teacher_disagreement_score":0.01888631,"about_ca_system_score_codex":0.0010785701,"about_ca_system_score_gemma":0.0009577953,"threshold_uncertainty_score":0.06318098},"labels":[],"label_agreement":null},{"id":"W4386607605","doi":"10.1145/3615864","title":"Semi-Automatic Building and Learning of a Multilingual Ontology","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Asian and Low-Resource Language Information Processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Ontology; Natural language processing; Context (archaeology); Artificial intelligence; Relevance (law); Information retrieval; Ambiguity; Task (project management); Arabic; Linguistics; Programming language","score_opus":0.008931613069448478,"score_gpt":0.258806147771992,"score_spread":0.24987453470254353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386607605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029050447,0.00012008087,0.96077913,0.00026629167,0.00006130015,0.000258399,0.0013061349,0.005393641,0.0027645375],"genre_scores_gemma":[0.13178875,0.00019876711,0.8597918,0.00011000553,0.000029329478,0.00021755166,0.005541423,0.0005964458,0.0017259712],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976221,0.0005724189,0.0002542192,0.00073800934,0.0006936839,0.000119541895],"domain_scores_gemma":[0.9952923,0.0022440432,0.00029486127,0.0006824494,0.0013409818,0.00014546358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022107163,0.0009227721,0.00065213867,0.0031831535,0.0012238806,0.0017159521,0.0012614736,0.000798612,0.0029883306],"category_scores_gemma":[0.008169081,0.00058027584,0.0016260054,0.001609217,0.0008159512,0.004614009,0.003361072,0.0016609028,0.0018269783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020114167,0.0004480955,0.008588881,0.0011154654,0.00024242658,0.00084358687,0.0024807395,0.023939908,0.065004565,0.03198661,0.017763017,0.8473856],"study_design_scores_gemma":[0.000053504664,0.00022406386,0.0063895998,0.00033355757,0.0002447475,0.0009786083,0.0033025101,0.7097864,0.10279201,0.08038501,0.09536686,0.0001430621],"about_ca_topic_score_codex":0.0057414696,"about_ca_topic_score_gemma":0.009888213,"teacher_disagreement_score":0.0057414696,"about_ca_system_score_codex":0.0010299373,"about_ca_system_score_gemma":0.0034520763,"threshold_uncertainty_score":0.01169157},"labels":[],"label_agreement":null},{"id":"W4386768405","doi":"10.32920/24148146","title":"A Meta-Analysis of Ontological Guidance and Users' Understanding of Conceptual Models","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ontology; Computer science; Conceptual model; Process (computing); Quality (philosophy); Knowledge management; Conceptual framework; Process management; Management science; Epistemology; Engineering","score_opus":0.555679059747431,"score_gpt":0.3546715967015637,"score_spread":0.20100746304586736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386768405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84624934,0.007364136,0.10790622,0.0061368393,0.00008159227,0.00042722415,0.00068336073,0.00025981135,0.030891484],"genre_scores_gemma":[0.97625095,0.00089641527,0.02162995,0.00018724977,0.000011456664,0.00022731915,0.00024146706,0.0000899874,0.00046525666],"study_design_codex":"qualitative","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9606019,0.028552093,0.0024939019,0.0020786093,0.005770103,0.0005034076],"domain_scores_gemma":[0.6537907,0.2965872,0.009257574,0.02048252,0.019133165,0.0007489347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05559046,0.00075723487,0.00080800045,0.011084311,0.0023582904,0.009504508,0.0015092547,0.0013893064,0.0017820478],"category_scores_gemma":[0.16560145,0.0009794174,0.0024990267,0.007974325,0.005342878,0.018058153,0.0043549365,0.0032537747,0.00013385722],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011539502,0.00062944484,0.111452766,0.0038846305,0.0028442445,0.00041669793,0.35622874,0.004009341,0.0061252303,0.271474,0.0022895266,0.23949154],"study_design_scores_gemma":[0.0005070138,0.001809001,0.19421588,0.015135065,0.011802367,0.0014042036,0.2917772,0.056132242,0.028209813,0.3100739,0.088249415,0.0006839298],"about_ca_topic_score_codex":0.008455959,"about_ca_topic_score_gemma":0.008363384,"teacher_disagreement_score":0.05559046,"about_ca_system_score_codex":0.010910645,"about_ca_system_score_gemma":0.0050646337,"threshold_uncertainty_score":0.293994},"labels":[],"label_agreement":null},{"id":"W4386768408","doi":"10.32920/24148146.v1","title":"A Meta-Analysis of Ontological Guidance and Users' Understanding of Conceptual Models","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ontology; Conceptual model; Process (computing); Quality (philosophy); Knowledge management; Conceptual framework; Management science; Data science; Process management; Epistemology; Engineering","score_opus":0.555679059747431,"score_gpt":0.3546715967015637,"score_spread":0.20100746304586736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386768408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84624934,0.007364136,0.10790622,0.0061368393,0.00008159227,0.00042722415,0.00068336073,0.00025981135,0.030891484],"genre_scores_gemma":[0.97625095,0.00089641527,0.02162995,0.00018724977,0.000011456664,0.00022731915,0.00024146706,0.0000899874,0.00046525666],"study_design_codex":"qualitative","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9606019,0.028552093,0.0024939019,0.0020786093,0.005770103,0.0005034076],"domain_scores_gemma":[0.6537907,0.2965872,0.009257574,0.02048252,0.019133165,0.0007489347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05559046,0.00075723487,0.00080800045,0.011084311,0.0023582904,0.009504508,0.0015092547,0.0013893064,0.0017820478],"category_scores_gemma":[0.16560145,0.0009794174,0.0024990267,0.007974325,0.005342878,0.018058153,0.0043549365,0.0032537747,0.00013385722],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011539502,0.00062944484,0.111452766,0.0038846305,0.0028442445,0.00041669793,0.35622874,0.004009341,0.0061252303,0.271474,0.0022895266,0.23949154],"study_design_scores_gemma":[0.0005070138,0.001809001,0.19421588,0.015135065,0.011802367,0.0014042036,0.2917772,0.056132242,0.028209813,0.3100739,0.088249415,0.0006839298],"about_ca_topic_score_codex":0.008455959,"about_ca_topic_score_gemma":0.008363384,"teacher_disagreement_score":0.05559046,"about_ca_system_score_codex":0.010910645,"about_ca_system_score_gemma":0.0050646337,"threshold_uncertainty_score":0.293994},"labels":[],"label_agreement":null},{"id":"W4386775099","doi":"10.1007/978-3-031-43940-7_13","title":"OISHI: An Ontology Integration Framework for Domains of Socio-Humanitarian Importance Incorporating Hybrid Machine Intelligence","year":2023,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Ontology; Open Biomedical Ontologies; Ontology-based data integration; Upper ontology; Ontology alignment; Latent Dirichlet allocation; Semantic integration; Process ontology; Information retrieval; Data science; Semantic Web; Topic model; Semantic Web Stack","score_opus":0.07295056711677525,"score_gpt":0.33410223147438994,"score_spread":0.2611516643576147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386775099","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003394265,0.00044989286,0.9684636,0.00040465113,0.00016038227,0.00018725106,0.0016642149,0.007822083,0.017453669],"genre_scores_gemma":[0.06364493,0.0011395357,0.9067268,0.0004751207,0.000078240184,0.00037895984,0.008004464,0.0020368833,0.01751511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925596,0.00010245907,0.00008998591,0.00011215141,0.00034735914,0.000092072434],"domain_scores_gemma":[0.99954504,0.00011859275,0.000036264144,0.00010570102,0.00013205384,0.000062351945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016660199,0.0007582096,0.0007681897,0.002767834,0.0010844144,0.0037716846,0.0015983757,0.000949983,0.0063396785],"category_scores_gemma":[0.0023625428,0.0005827506,0.0015508255,0.002943245,0.00094296533,0.005391252,0.0050149052,0.0019890687,0.0023281423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001166179,0.00013272156,0.0027031351,0.0007709491,0.00018115732,0.0005179433,0.0022995127,0.011086915,0.0052343956,0.5931444,0.048319563,0.33549273],"study_design_scores_gemma":[0.000024813438,0.000030844916,0.0014193298,0.00031440562,0.00017444132,0.0004712899,0.0011143804,0.07342528,0.0049374746,0.2503639,0.66765285,0.00007099011],"about_ca_topic_score_codex":0.010305786,"about_ca_topic_score_gemma":0.025324007,"teacher_disagreement_score":0.010305786,"about_ca_system_score_codex":0.00097227935,"about_ca_system_score_gemma":0.0025698326,"threshold_uncertainty_score":0.021208286},"labels":[],"label_agreement":null},{"id":"W4387036347","doi":"10.7146/njlis.v4i1.136017","title":"LCSH and Environmental Science","year":2023,"lang":"en","type":"article","venue":"Nordic Journal of Library and Information Studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subject (documents); Vocabulary; Field (mathematics); Hierarchy; Controlled vocabulary; Computer science; Data science; Domain (mathematical analysis); Discoverability; Representation (politics); Environmental studies; Interdisciplinarity; Engineering ethics; Sociology; Ecology; Social science; Political science; Information retrieval; Library science; Engineering; World Wide Web; Linguistics","score_opus":0.017318156910892595,"score_gpt":0.24147696976781824,"score_spread":0.22415881285692565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387036347","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043865345,0.016710117,0.08096275,0.03142596,0.00085894234,0.00012598794,0.0010601819,0.0005683378,0.82442236],"genre_scores_gemma":[0.8828408,0.009537671,0.053983945,0.0036999944,0.0005838396,0.00017945928,0.0012362443,0.00025896684,0.047678955],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99642795,0.0018787294,0.0003013635,0.00033692244,0.0007995115,0.00025551982],"domain_scores_gemma":[0.9936034,0.0037162479,0.00066531537,0.00080319843,0.00092427694,0.00028756124],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0028642714,0.0002760005,0.00031166238,0.0069239475,0.0022898146,0.008266397,0.00056363316,0.0013997523,0.01532131],"category_scores_gemma":[0.007252903,0.00018950028,0.00038519382,0.01090494,0.01278893,0.011583902,0.004487669,0.0015870793,0.0014846899],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011721301,0.000007645067,0.0009481156,0.000169977,0.000007469735,0.00005235238,0.003604152,0.0002741544,0.0001989876,0.96144336,0.0031999457,0.030082025],"study_design_scores_gemma":[0.0000048264815,0.000007704064,0.003166294,0.00035489956,0.000008122337,0.00014504722,0.0098271575,0.0008617631,0.0002244473,0.7035901,0.2817959,0.000013734281],"about_ca_topic_score_codex":0.018782167,"about_ca_topic_score_gemma":0.010511287,"teacher_disagreement_score":0.9917336,"about_ca_system_score_codex":0.0066246404,"about_ca_system_score_gemma":0.0044493177,"threshold_uncertainty_score":0.051254928},"labels":[],"label_agreement":null},{"id":"W4387246336","doi":"10.7152/nasko.v9i1.16307","title":"Thesaurus construction for community-centered metadata","year":2023,"lang":"en","type":"article","venue":"NASKO","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metadata; Thesaurus; Information retrieval; Computer science; World Wide Web; Natural language processing","score_opus":0.11047568989204727,"score_gpt":0.3151891649598066,"score_spread":0.20471347506775933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387246336","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010478423,0.00019471462,0.9784026,0.00052916456,0.000087332846,0.0010537136,0.0007688384,0.001048153,0.007437053],"genre_scores_gemma":[0.05709415,0.00014202921,0.93789417,0.00008751601,0.000022024415,0.0007648085,0.0018128335,0.00030061533,0.001881941],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9870014,0.006503389,0.0021071134,0.0015579016,0.0024434284,0.00038665073],"domain_scores_gemma":[0.9781302,0.008031321,0.0014692233,0.0064016706,0.0049586003,0.0010090059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01711376,0.00069249317,0.0010308867,0.015058109,0.0056369137,0.007931677,0.003345787,0.0021245154,0.007914533],"category_scores_gemma":[0.047446962,0.0012956021,0.0029112357,0.010612398,0.0041975854,0.010430558,0.013146011,0.00267927,0.002900248],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001400239,0.0002893043,0.0037343034,0.0016767066,0.00018579594,0.0010719384,0.037529524,0.0064164284,0.012616118,0.6466177,0.01652546,0.27319676],"study_design_scores_gemma":[0.00010936949,0.00016732821,0.0026957854,0.0019643796,0.00025295257,0.0015571974,0.023362562,0.07243164,0.016868431,0.5865674,0.29371622,0.00030670638],"about_ca_topic_score_codex":0.0073827957,"about_ca_topic_score_gemma":0.012736796,"teacher_disagreement_score":0.01711376,"about_ca_system_score_codex":0.003446091,"about_ca_system_score_gemma":0.009578063,"threshold_uncertainty_score":0.09050727},"labels":[],"label_agreement":null},{"id":"W4387918311","doi":"10.2139/ssrn.4611919","title":"Dual-Layered Structure in Conceptualization for Decentralized Knowledge Representation","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Conceptualization; Dual (grammatical number); Representation (politics); Computer science; Knowledge management; Artificial intelligence; Political science; Philosophy; Linguistics","score_opus":0.04840332815940067,"score_gpt":0.33854063804105705,"score_spread":0.29013730988165637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387918311","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007338974,0.00015591652,0.9895539,0.0006473534,0.000024279954,0.00006820927,0.00011967961,0.0003145167,0.0017770323],"genre_scores_gemma":[0.24408284,0.0003633232,0.7521419,0.00021021016,0.000043744196,0.00033012044,0.0008159257,0.00013651243,0.0018753695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9944745,0.0022552663,0.0007650549,0.00080352894,0.001309346,0.00039229295],"domain_scores_gemma":[0.9906607,0.0034910715,0.0005373022,0.0036253086,0.00118852,0.00049708073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007409734,0.00048483477,0.0012417348,0.0024329175,0.0017334883,0.007211583,0.0026000498,0.0020879286,0.0030700765],"category_scores_gemma":[0.01915583,0.0013204411,0.0025784196,0.0034901795,0.0039484813,0.017604645,0.008581595,0.004075745,0.0007967322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080700745,0.000056358993,0.00068608386,0.00015443654,0.00006629772,0.000109495086,0.001202562,0.012604646,0.001581516,0.9311412,0.0014451334,0.050871592],"study_design_scores_gemma":[0.000021505708,0.000024079602,0.00020262126,0.000081484955,0.000079170146,0.00009029993,0.00030449082,0.1141275,0.0016844856,0.8758133,0.0075420975,0.000028968363],"about_ca_topic_score_codex":0.0051667164,"about_ca_topic_score_gemma":0.0050290795,"teacher_disagreement_score":0.007409734,"about_ca_system_score_codex":0.0023717156,"about_ca_system_score_gemma":0.0031975098,"threshold_uncertainty_score":0.039186895},"labels":[],"label_agreement":null},{"id":"W4387999418","doi":"10.1007/978-3-031-47262-6","title":"Conceptual Modeling","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Instituto Superior Técnico; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Technische Universität Clausthal; Högskolan i Skövde; Universitat Politècnica de Catalunya; Alpen-Adria-Universität Klagenfurt; Universidade Federal do Espírito Santo; Universidade Federal de Minas Gerais; Università degli Studi di Brescia; Universität Duisburg-Essen; Université de Fribourg; King Mongkut's Institute of Technology Ladkrabang; Anglia Ruskin University; Victoria University; Rīgas Tehniskā Universitāte; Vrije Universiteit Amsterdam; Université de Genève; Università di Bologna; University of Haifa; Universitat Politècnica de València; Ben-Gurion University of the Negev; Universidade Federal do Rio Grande do Sul; Universidad Autónoma de Madrid; Technische Universität Braunschweig; King Abdullah University of Science and Technology; Memorial University of Newfoundland; University of Toronto; Libera Università di Bolzano; Beijing University of Technology; LOEWE Zentrum AdRIA; Technische Universiteit Eindhoven; Aston University; University of Twente; Nanzan University; Pontifícia Universidade Católica do Rio de Janeiro; Victoria University of Wellington; Stockholms Universitet; Chalmers Tekniska Högskola; Universidade Nova de Lisboa; Kungliga Tekniska Högskolan; Christian-Albrechts-Universität zu Kiel; Universiteit Utrecht; Technische Universität Wien; Sapienza Università di Roma; Universidad de Alicante; University of South Australia; University of Technology Sydney; Universiteit Gent; Université de Sfax; International Science and Technology Center; University of Miami; University of Texas at Arlington; Institució Catalana de Recerca i Estudis Avançats; Universidade Federal do Rio de Janeiro; University of Ottawa; RWTH Aachen University; Conservatoire National des Arts et Métiers; University of Essex; Tata Consultancy Services","keywords":"Computer science; Focus (optics); Conceptual model; Management science; Data science; Software engineering; Database; Engineering","score_opus":0.03999401625708956,"score_gpt":0.27027731867173105,"score_spread":0.23028330241464148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387999418","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002092232,0.0025693132,0.7114832,0.0029040384,0.00052621163,0.00028739235,0.0029046203,0.0036465174,0.27358654],"genre_scores_gemma":[0.096431226,0.0073519987,0.5665149,0.001423922,0.0003988814,0.0006850444,0.022294234,0.0019714825,0.3029284],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985493,0.00036088444,0.00013231781,0.00034604175,0.00053290604,0.00007852567],"domain_scores_gemma":[0.99887675,0.00030404993,0.00003850329,0.00044131384,0.00028993643,0.000049491755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014194491,0.0011219318,0.0006649671,0.0023203702,0.0012955299,0.0064247656,0.0021796199,0.0012126802,0.04825618],"category_scores_gemma":[0.003964348,0.0006985116,0.0015254841,0.003033637,0.0011168747,0.0074668885,0.0023289088,0.0020074656,0.02282611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012302754,0.00003157441,0.000112894544,0.00013191889,0.000016342316,0.000055918466,0.00030199715,0.0015848067,0.0005092078,0.8627255,0.03035717,0.10416031],"study_design_scores_gemma":[0.0000080194095,0.000008671463,0.00009832715,0.0001252583,0.000025644422,0.00015119903,0.00017770378,0.009297929,0.0010583027,0.37972853,0.6093081,0.000012273061],"about_ca_topic_score_codex":0.005897685,"about_ca_topic_score_gemma":0.0047943657,"teacher_disagreement_score":0.04825618,"about_ca_system_score_codex":0.0019772376,"about_ca_system_score_gemma":0.002350854,"threshold_uncertainty_score":0.16143304},"labels":[],"label_agreement":null},{"id":"W4388110899","doi":"10.32604/cmc.2023.036074","title":"Ontology-Based Crime News Semantic Retrieval System","year":2023,"lang":"en","type":"article","venue":"Computers, materials & continua/Computers, materials & continua (Print)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Computer science; SPARQL; Information retrieval; RDF; Semantic analytics; Semantic query; Ontology; Semantic computing; Semantic similarity; Semantics (computer science); Semantic Web Stack; Named graph; Semantic Web Rule Language; Semantic Web; Semantic search; World Wide Web; Web search query; Search engine","score_opus":0.021026915284363335,"score_gpt":0.24712143427047803,"score_spread":0.22609451898611468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388110899","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034722794,0.0009146841,0.7851271,0.0019809303,0.00041718403,0.0017922954,0.025701122,0.09995805,0.049385786],"genre_scores_gemma":[0.24726719,0.002138545,0.63067126,0.0013777522,0.00018375668,0.0010658056,0.085535645,0.0024669284,0.029293057],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989268,0.00009257417,0.00024196041,0.0002262786,0.00042691425,0.00008540508],"domain_scores_gemma":[0.9992543,0.00009924446,0.00007838255,0.00016129304,0.0003587412,0.00004800215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095087354,0.00071207643,0.00091956864,0.0037761128,0.0012945826,0.0020657375,0.0016262456,0.0010274441,0.007333684],"category_scores_gemma":[0.0025973879,0.00037003384,0.0013295802,0.0024285621,0.00052657997,0.0043480243,0.0016072684,0.00084252993,0.004847942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007605175,0.0011694595,0.004135901,0.0020432998,0.0002525376,0.0027478933,0.0013612948,0.025583534,0.04460484,0.09616795,0.23103686,0.59013593],"study_design_scores_gemma":[0.00024858027,0.00013507665,0.0057966635,0.00024196199,0.00041771296,0.0018966123,0.0012942741,0.4117369,0.07052514,0.047320195,0.46007872,0.00030826815],"about_ca_topic_score_codex":0.017324992,"about_ca_topic_score_gemma":0.011063866,"teacher_disagreement_score":0.017324992,"about_ca_system_score_codex":0.0015767067,"about_ca_system_score_gemma":0.0026967174,"threshold_uncertainty_score":0.034448266},"labels":[],"label_agreement":null},{"id":"W4388132066","doi":"10.1007/978-3-031-47240-4_28","title":"Neural Multi-hop Logical Query Answering with Concept-Level Answers","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Axiom; Question answering; Description logic; Theoretical computer science; Inference; Fuzzy logic; Knowledge representation and reasoning; Set (abstract data type); Information retrieval; Artificial intelligence; Mathematics","score_opus":0.05907292893981171,"score_gpt":0.27097374612819314,"score_spread":0.21190081718838144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388132066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11749855,0.0021356572,0.86418414,0.0014970286,0.0003131799,0.0001725248,0.0012102365,0.0037001637,0.009288523],"genre_scores_gemma":[0.789465,0.0005968131,0.19519353,0.00048673828,0.00025910157,0.00016365317,0.003078238,0.00017546875,0.010581413],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999258,0.00015103315,0.00006682468,0.00027814796,0.00015381811,0.00009215607],"domain_scores_gemma":[0.9978968,0.0014993923,0.00010151018,0.00021415522,0.0002217068,0.000066383895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010316239,0.00068100233,0.0011539789,0.0009073802,0.00066099025,0.0018563918,0.0026304228,0.0023092972,0.008640109],"category_scores_gemma":[0.005523282,0.0005790866,0.00080631295,0.0013959145,0.000771222,0.004495639,0.0022477617,0.001906298,0.0016599827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012024792,0.00069161854,0.002744945,0.0007019352,0.00020165881,0.0003373818,0.00042370302,0.23509152,0.017011415,0.042817518,0.021985274,0.6767906],"study_design_scores_gemma":[0.000025798377,0.00007096913,0.00024105248,0.000017765022,0.00003262726,0.00006921659,0.0000737495,0.9605037,0.0028148477,0.035009146,0.0011292199,0.000011949277],"about_ca_topic_score_codex":0.003656772,"about_ca_topic_score_gemma":0.005111937,"teacher_disagreement_score":0.008640109,"about_ca_system_score_codex":0.00095706416,"about_ca_system_score_gemma":0.0008571119,"threshold_uncertainty_score":0.02890402},"labels":[],"label_agreement":null},{"id":"W4388305419","doi":"10.1177/26339137231207634","title":"Semantic computing with IEML","year":2023,"lang":"en","type":"article","venue":"Collective Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Metalanguage; Semantics (computer science); Syntagmatic analysis; Dimension (graph theory); Artificial intelligence; Linguistics; Natural language processing; Operational semantics; Programming language; Mathematics","score_opus":0.0356442807042188,"score_gpt":0.27945613942558056,"score_spread":0.24381185872136177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388305419","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016756557,0.0016081538,0.94837356,0.004139748,0.0005318758,0.000089802,0.000393111,0.0027987198,0.040389366],"genre_scores_gemma":[0.11611386,0.00479656,0.85607404,0.002230061,0.0009816316,0.00051045994,0.0021291184,0.0012984597,0.015865782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956096,0.0019810963,0.00045849968,0.00064363756,0.0010491825,0.00025800415],"domain_scores_gemma":[0.9969183,0.0012333991,0.0001525262,0.0011717917,0.00037122326,0.00015273843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037755785,0.0010701459,0.00083808164,0.0031893845,0.0021088677,0.011369398,0.002447889,0.0020987112,0.0075580245],"category_scores_gemma":[0.008862426,0.00067889533,0.0020258655,0.003549177,0.006433032,0.019681321,0.007262413,0.0044835657,0.003096906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012856328,0.000009828339,0.000063567044,0.000072664,0.000011454124,0.000049147555,0.00026113688,0.0018043609,0.00022967512,0.973599,0.003150696,0.020735592],"study_design_scores_gemma":[0.0000091508355,0.000008084761,0.000035134315,0.00008309375,0.000013406879,0.0000835352,0.00011047825,0.012104226,0.00078831596,0.8237435,0.1630034,0.000017622337],"about_ca_topic_score_codex":0.0031651123,"about_ca_topic_score_gemma":0.0026719968,"teacher_disagreement_score":0.011369398,"about_ca_system_score_codex":0.0020989159,"about_ca_system_score_gemma":0.0024428186,"threshold_uncertainty_score":0.025284111},"labels":[],"label_agreement":null},{"id":"W4388435957","doi":"10.1093/oso/9780198500735.002.0003","title":"Copyright permissions","year":2003,"lang":"en","type":"other","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nephew and niece; Estate; Art history; Classics; Philosophy; Art; History; Library science; Law; Computer science; Political science; Linguistics","score_opus":0.014817701660999927,"score_gpt":0.24953470968318692,"score_spread":0.23471700802218698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388435957","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001997857,0.0005332987,0.000839468,0.0027275144,0.0049100784,0.0001779943,0.0089671435,0.0023485762,0.9792962],"genre_scores_gemma":[0.0017664145,0.0006486431,0.0005815397,0.001662909,0.0012120168,0.00011680683,0.0065837163,0.0015130342,0.98591506],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977609,0.00028276962,0.00024375638,0.0004772855,0.0008928563,0.0003424206],"domain_scores_gemma":[0.9934841,0.0010451784,0.00025834856,0.0022176928,0.0022528525,0.000741961],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017930126,0.0010126112,0.0011456426,0.0029210697,0.0024080996,0.012059624,0.0020683578,0.0030824419,0.88205653],"category_scores_gemma":[0.014179989,0.00075332914,0.00095170515,0.004177383,0.0015533749,0.006624982,0.0036054302,0.0028075809,0.87002057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018733692,0.000016550204,0.00010709829,0.00015012395,0.000002335764,0.000051791525,0.000091620874,0.000020699477,0.00020182802,0.01033973,0.9528247,0.036174722],"study_design_scores_gemma":[0.000004721641,0.0000037910117,0.00017231567,0.00007130074,0.0000010012061,0.000035209952,0.000041659492,0.000019314375,0.000049807608,0.0011516813,0.998445,0.0000041347575],"about_ca_topic_score_codex":0.0047335173,"about_ca_topic_score_gemma":0.0057528396,"teacher_disagreement_score":0.88205653,"about_ca_system_score_codex":0.0018296213,"about_ca_system_score_gemma":0.0035722058,"threshold_uncertainty_score":0.16823202},"labels":[],"label_agreement":null},{"id":"W4388457319","doi":"10.5381/jot.2023.22.1.a5","title":"From two-way to three-way: domain-specific model differencing and conflict detection.","year":2023,"lang":"en","type":"article","venue":"The Journal of Object Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Université de Montréal","funders":"","keywords":"Computer science; Domain (mathematical analysis); Mathematics","score_opus":0.030366576384620193,"score_gpt":0.25910694902408254,"score_spread":0.22874037263946234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388457319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029978747,0.00052477786,0.95588034,0.00054584554,0.00016654369,0.0003286429,0.00041182272,0.009773964,0.0023893383],"genre_scores_gemma":[0.295161,0.00021445764,0.6997362,0.0004182948,0.00005007985,0.00024914168,0.0011487703,0.0013831955,0.0016389004],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9629908,0.011610657,0.0032941974,0.0064813076,0.014196827,0.0014262713],"domain_scores_gemma":[0.9147944,0.029395305,0.010078824,0.032385048,0.011473987,0.0018724072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022743523,0.001708906,0.0016391347,0.006948134,0.0015595447,0.0069121704,0.005066532,0.0026896836,0.002226302],"category_scores_gemma":[0.08701096,0.0012707332,0.001914048,0.0046868357,0.0032930921,0.012341237,0.012771164,0.0041963058,0.001182532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075390586,0.00054433703,0.06646122,0.0008468105,0.00080729445,0.0008442161,0.0054978244,0.017907808,0.02169142,0.06339988,0.013440049,0.8078051],"study_design_scores_gemma":[0.00017240031,0.0005435155,0.016073996,0.00054323464,0.00051663665,0.0028746102,0.0032100265,0.62259334,0.12094752,0.16738872,0.064559706,0.0005762537],"about_ca_topic_score_codex":0.003972147,"about_ca_topic_score_gemma":0.0051185302,"teacher_disagreement_score":0.022743523,"about_ca_system_score_codex":0.0019592042,"about_ca_system_score_gemma":0.0036759984,"threshold_uncertainty_score":0.12028068},"labels":[],"label_agreement":null},{"id":"W4388497942","doi":"10.1049/pbpc063e_ch8","title":"Query-answering with text and knowledge graph","year":2023,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; SPARQL; Question answering; Information retrieval; Graph; Query expansion; Query language; Representation (politics); Domain (mathematical analysis); Focus (optics); Web search query; Simple (philosophy); RDF; Semantic Web; Theoretical computer science; Search engine; Mathematics","score_opus":0.012232889359080765,"score_gpt":0.19889615160804985,"score_spread":0.1866632622489691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388497942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008478935,0.0067772805,0.9360179,0.0050035883,0.00037308328,0.00024755174,0.0022531925,0.005994562,0.034854032],"genre_scores_gemma":[0.14900337,0.009332208,0.7979514,0.0023672455,0.0005560356,0.00037679952,0.010637544,0.0008898391,0.028885571],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983901,0.00052592106,0.000116176656,0.00036797693,0.0005174673,0.00008235998],"domain_scores_gemma":[0.9979107,0.001437743,0.000069906295,0.0003342363,0.00019926648,0.000048141894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013841044,0.0010039231,0.00080042717,0.002361109,0.00063099567,0.0034195597,0.0017540107,0.0015570408,0.008748356],"category_scores_gemma":[0.0060554296,0.00042426676,0.0016249408,0.0047005955,0.0011298071,0.0090682935,0.0020739243,0.0016029091,0.0031678458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012771212,0.00021114433,0.00054342335,0.0010817675,0.00010124204,0.00034607196,0.0005630322,0.0639463,0.0050828094,0.31562492,0.08953803,0.5228336],"study_design_scores_gemma":[0.000033987013,0.000039992297,0.00037669938,0.00016819203,0.000058545247,0.0003764304,0.0003464078,0.308651,0.003317904,0.5369823,0.14961086,0.00003762034],"about_ca_topic_score_codex":0.0049826712,"about_ca_topic_score_gemma":0.005062801,"teacher_disagreement_score":0.008748356,"about_ca_system_score_codex":0.0018254459,"about_ca_system_score_gemma":0.0008599521,"threshold_uncertainty_score":0.029266179},"labels":[],"label_agreement":null},{"id":"W4388556069","doi":"","title":"A Communication Model that Bridges Knowledge Delivery between Data Miners and Domain Users","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Domain (mathematical analysis); Data modeling; Computer security; Software engineering","score_opus":0.0587649952990895,"score_gpt":0.2741498404232482,"score_spread":0.2153848451241587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388556069","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06173555,0.00023834195,0.8545662,0.021821553,0.00018355022,0.0017557717,0.00022497152,0.0028640681,0.05661009],"genre_scores_gemma":[0.5796439,0.00029067099,0.39804676,0.00196815,0.000100753365,0.0025454017,0.00046379643,0.00035300126,0.016587652],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95670867,0.03078341,0.0021525726,0.002992294,0.0060899234,0.0012731369],"domain_scores_gemma":[0.9322894,0.038275264,0.0050393576,0.010189685,0.011198375,0.00300799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035060566,0.00083404017,0.0006080629,0.0036823696,0.004382844,0.010403767,0.002496698,0.0060134465,0.0073343995],"category_scores_gemma":[0.058386013,0.0007415978,0.0008632388,0.0019091417,0.004556544,0.022433538,0.008431507,0.0033736532,0.0039674467],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076533365,0.0017598653,0.016632775,0.0009997238,0.00011045273,0.001348381,0.10780843,0.0052257385,0.020902148,0.42579228,0.015538261,0.40311664],"study_design_scores_gemma":[0.00066906784,0.00268525,0.0143326735,0.002147653,0.000360548,0.0040373546,0.08968174,0.14692926,0.038236048,0.34893,0.3513477,0.0006426531],"about_ca_topic_score_codex":0.003213584,"about_ca_topic_score_gemma":0.0021345732,"teacher_disagreement_score":0.035060566,"about_ca_system_score_codex":0.005883673,"about_ca_system_score_gemma":0.010548194,"threshold_uncertainty_score":0.18542022},"labels":[],"label_agreement":null},{"id":"W4388681809","doi":"10.20944/preprints202311.0914.v1","title":"Collaborative Intelligence in a Decentralized Environment CIDE","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Intelligence cycle; Knowledge management; Social intelligence; Information sharing; Intelligence analysis; Military intelligence; Collective intelligence; Data science; Psychology; World Wide Web; Social psychology","score_opus":0.13640290218255735,"score_gpt":0.3558913749901842,"score_spread":0.21948847280762684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388681809","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14624925,0.0017078212,0.4618102,0.013368712,0.00026867888,0.0003041431,0.0002524577,0.0009670586,0.3750717],"genre_scores_gemma":[0.88451785,0.00087145536,0.083156966,0.00048612623,0.00013465615,0.0001467212,0.00020985797,0.000069042704,0.030407328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99659353,0.0014663083,0.00016690434,0.0005105464,0.0009333027,0.00032938886],"domain_scores_gemma":[0.99646544,0.001627231,0.00029470082,0.00072914077,0.00042785992,0.00045563088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034662243,0.00020518896,0.00047197068,0.0013748857,0.0032545836,0.0071028084,0.0008017072,0.0015884716,0.0046076863],"category_scores_gemma":[0.0059037264,0.00035482904,0.0003955533,0.0013887038,0.003378338,0.0067151547,0.0053117843,0.0013080337,0.0009933425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058174915,0.00005144809,0.0015147768,0.0000734268,0.000026148744,0.0004889846,0.002633312,0.018754475,0.0011194542,0.9313764,0.005362443,0.03854112],"study_design_scores_gemma":[0.0000822997,0.00005230589,0.0021488017,0.00012031542,0.000034106408,0.00035847173,0.0035088114,0.08841697,0.0011143356,0.68204015,0.22207254,0.000050941697],"about_ca_topic_score_codex":0.005992372,"about_ca_topic_score_gemma":0.0056352704,"teacher_disagreement_score":0.0071028084,"about_ca_system_score_codex":0.0028361524,"about_ca_system_score_gemma":0.0029293268,"threshold_uncertainty_score":0.020577848},"labels":[],"label_agreement":null},{"id":"W4388877127","doi":"10.5220/0012157600003598","title":"A Novel Approach to Ontological View-Based Semantic Mapping in Decentralized Environments","year":2023,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Semantic integration; Natural language processing; Artificial intelligence; Semantic computing; Semantic Web","score_opus":0.06794009584461118,"score_gpt":0.2675314741492261,"score_spread":0.19959137830461493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388877127","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014394566,0.00006932012,0.9941088,0.0002883085,0.00006054275,0.000053164844,0.000062064835,0.00037615755,0.0035421604],"genre_scores_gemma":[0.103964105,0.00032530495,0.8889063,0.00022297156,0.00012276454,0.00021381621,0.00035303205,0.00024786254,0.005643753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957806,0.0011091715,0.0002751245,0.0007904411,0.0017701336,0.0002744997],"domain_scores_gemma":[0.9967386,0.0008598501,0.000183789,0.0014402203,0.00054746924,0.00022992343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027703568,0.00058056763,0.0010957719,0.0018966626,0.0023236421,0.005588311,0.0031045529,0.001958419,0.0037940843],"category_scores_gemma":[0.0076104095,0.00078536797,0.0015853522,0.0027006676,0.0022479745,0.010441578,0.008824228,0.003170643,0.001386831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054184155,0.0001297915,0.0005469578,0.00014536042,0.00007542717,0.00025319777,0.0010066172,0.020099852,0.0038213409,0.8756844,0.004942669,0.09324018],"study_design_scores_gemma":[0.000028762212,0.00004229542,0.0002674272,0.00006653711,0.00008595971,0.00032718776,0.0005787354,0.32802764,0.0040299497,0.61921555,0.047283243,0.000046825604],"about_ca_topic_score_codex":0.0038314844,"about_ca_topic_score_gemma":0.007348939,"teacher_disagreement_score":0.005588311,"about_ca_system_score_codex":0.0012158828,"about_ca_system_score_gemma":0.0028559677,"threshold_uncertainty_score":0.014651179},"labels":[],"label_agreement":null},{"id":"W4388877252","doi":"10.5220/0012239900003598","title":"Addressing Entity Change in Procedural Ontologies","year":2023,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"","keywords":"Computer science; Data science; Information retrieval; Natural language processing","score_opus":0.23838250916554946,"score_gpt":0.3690825409881118,"score_spread":0.13070003182256232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388877252","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06623977,0.0004796148,0.91838396,0.0029484301,0.00024923842,0.00021831499,0.00029107425,0.0018205021,0.009369038],"genre_scores_gemma":[0.7048194,0.00072781224,0.2834808,0.0010707593,0.00022978974,0.00016381772,0.0010325556,0.0007111881,0.0077639925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99119747,0.0025832353,0.0009060648,0.0013404792,0.0030322724,0.0009405231],"domain_scores_gemma":[0.9747806,0.012245105,0.0013917412,0.008686769,0.0024344705,0.00046132022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008576199,0.0004989916,0.0011142456,0.0019584936,0.00254576,0.006120611,0.003428822,0.0038132658,0.0025566162],"category_scores_gemma":[0.038847122,0.00091524917,0.0019580836,0.0036883925,0.0040981285,0.026740773,0.009283837,0.0058146045,0.0005648187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026369325,0.00026251108,0.006052363,0.00032055142,0.00014465308,0.0011781704,0.0047355685,0.032243486,0.0072804396,0.774601,0.0058782143,0.16703928],"study_design_scores_gemma":[0.000041415493,0.00006160295,0.0010793888,0.00010779717,0.00023273223,0.0005210412,0.0019277829,0.2208599,0.023556888,0.6984739,0.05307029,0.000067322784],"about_ca_topic_score_codex":0.0063072927,"about_ca_topic_score_gemma":0.0051684813,"teacher_disagreement_score":0.008576199,"about_ca_system_score_codex":0.0018961339,"about_ca_system_score_gemma":0.0023333658,"threshold_uncertainty_score":0.045355797},"labels":[],"label_agreement":null},{"id":"W4388940354","doi":"10.46298/entics.12279","title":"Joint Distributions in Probabilistic Semantics","year":2023,"lang":"en","type":"article","venue":"Electronic Notes in Theoretical Informatics and Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; National Science Foundation","keywords":"Probabilistic logic; Morphism; Semantics (computer science); Denotational semantics; Joint probability distribution; Simple (philosophy); Class (philosophy); Joint (building); Mathematics; Computer science; Theoretical computer science; Discrete mathematics; Operational semantics; Programming language; Artificial intelligence; Statistics","score_opus":0.01170671206156281,"score_gpt":0.24941560363410073,"score_spread":0.2377088915725379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388940354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008921092,0.0059728962,0.8681932,0.041232307,0.0021074892,0.00007564863,0.00037314408,0.00066606584,0.07245815],"genre_scores_gemma":[0.672759,0.008281424,0.26474693,0.014477803,0.007069871,0.0008355235,0.0006289692,0.00069063937,0.030509718],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9926932,0.003072609,0.00048863,0.0015222133,0.0018393946,0.0003839302],"domain_scores_gemma":[0.99138695,0.0053071994,0.0003937891,0.0015241255,0.0010627637,0.0003250604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010891093,0.0009117264,0.00091049616,0.0030365472,0.0033367197,0.0070901723,0.0023410388,0.004939335,0.005908954],"category_scores_gemma":[0.015009755,0.0007774919,0.0019412559,0.002514014,0.017959816,0.024476951,0.0053992155,0.0077139484,0.0014154777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013755066,8.41509e-7,0.0000114797695,0.000007743319,0.0000014713568,0.000007857941,0.000072668496,0.000097776916,0.000014383142,0.99846053,0.000414274,0.00090960716],"study_design_scores_gemma":[0.0000021088765,0.0000028836969,0.000021842343,0.000010887016,0.0000018074182,0.000033215703,0.00002772916,0.00084728317,0.000042380827,0.9885456,0.010459947,0.0000043133064],"about_ca_topic_score_codex":0.001849232,"about_ca_topic_score_gemma":0.0008586895,"teacher_disagreement_score":0.010891093,"about_ca_system_score_codex":0.004511544,"about_ca_system_score_gemma":0.0018506936,"threshold_uncertainty_score":0.057598293},"labels":[],"label_agreement":null},{"id":"W4388975441","doi":"10.1007/978-3-031-48583-1_9","title":"Semiautomatic Design of Ontologies","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Bank of Canada; University of Toronto","funders":"","keywords":"Ontology; Computer science; Process ontology; Ontology-based data integration; Upper ontology; Parsing; Ontology components; Suggested Upper Merged Ontology; Information retrieval; Axiom; Ontology alignment; Resource (disambiguation); Software engineering; Natural language processing; Semantic Web","score_opus":0.03555203028596675,"score_gpt":0.25022102643151556,"score_spread":0.2146689961455488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388975441","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031732274,0.00010644465,0.9908421,0.00012378593,0.000032878328,0.00006129742,0.00008356259,0.00093975564,0.0046369834],"genre_scores_gemma":[0.10536702,0.00023584739,0.8875948,0.00012433014,0.00002521477,0.0002359054,0.0007776687,0.0006261366,0.0050130356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99517435,0.0018333431,0.0005106984,0.00069246604,0.0015340683,0.0002551368],"domain_scores_gemma":[0.99563795,0.0020173234,0.00017950899,0.0013329122,0.0007446766,0.00008776975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039533507,0.00063228817,0.0005973766,0.0013298645,0.0011991571,0.004293177,0.0021919622,0.001124337,0.005165077],"category_scores_gemma":[0.008391369,0.0015231842,0.0019017698,0.0011804423,0.0022248249,0.0057941917,0.004523776,0.001924168,0.0015506579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006478623,0.000072354815,0.00049196486,0.00027936732,0.000058246893,0.00017489046,0.0011457616,0.020963509,0.0074260286,0.8217413,0.0040911497,0.14349055],"study_design_scores_gemma":[0.0000304284,0.0000353147,0.00018356818,0.000116529016,0.00006356246,0.00024134437,0.00029183598,0.14658454,0.018299025,0.7540618,0.08005742,0.000034589106],"about_ca_topic_score_codex":0.0018650176,"about_ca_topic_score_gemma":0.0031512864,"teacher_disagreement_score":0.005165077,"about_ca_system_score_codex":0.0010950206,"about_ca_system_score_gemma":0.0019631989,"threshold_uncertainty_score":0.02090758},"labels":[],"label_agreement":null},{"id":"W4388976293","doi":"10.1007/978-3-031-45043-3_5","title":"Evaluation","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; SQL; Subject (documents); Focus (optics); Interface (matter); Information retrieval; Database; World Wide Web","score_opus":0.1483799302113748,"score_gpt":0.31213625806319206,"score_spread":0.16375632785181726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388976293","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028142646,0.005290796,0.07818233,0.0067373584,0.0050591114,0.008173441,0.048320282,0.0057414677,0.81435263],"genre_scores_gemma":[0.33171132,0.0035229898,0.08241567,0.006759971,0.0015260301,0.00994793,0.10218526,0.005486017,0.4564448],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98318374,0.005959168,0.0009311369,0.002280505,0.0067588557,0.0008865385],"domain_scores_gemma":[0.9696833,0.009949893,0.0009222093,0.0046193767,0.013869064,0.00095606444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013838006,0.0015688138,0.0011330545,0.003890877,0.0015074321,0.004991166,0.0020297968,0.001590199,0.17116737],"category_scores_gemma":[0.071816675,0.0003626682,0.001185426,0.0027777809,0.0012249344,0.0031184293,0.0022248568,0.0014295358,0.062971145],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002287092,0.00065691525,0.00641181,0.0013328884,0.00019616852,0.00010827815,0.0003595996,0.0028537032,0.0012885865,0.02873404,0.37014684,0.58562404],"study_design_scores_gemma":[0.0008579018,0.0008857172,0.01278136,0.0016876366,0.0005150802,0.00040581267,0.0011913128,0.013640967,0.007121219,0.042203598,0.9185859,0.00012346442],"about_ca_topic_score_codex":0.008399563,"about_ca_topic_score_gemma":0.008085255,"teacher_disagreement_score":0.17116737,"about_ca_system_score_codex":0.0036292197,"about_ca_system_score_gemma":0.0058697667,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4388976676","doi":"10.1007/978-3-031-45043-3_1","title":"Overview","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Casual; Dialog box; Computer science; Rendezvous; Turing; Context (archaeology); World Wide Web; Programming language; Engineering; Political science; History","score_opus":0.14406673079216062,"score_gpt":0.3003912531240619,"score_spread":0.15632452233190128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388976676","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006414319,0.01188921,0.010243526,0.008086586,0.0073036263,0.0002045589,0.004493238,0.0022982834,0.9548395],"genre_scores_gemma":[0.0026867301,0.0070017492,0.0038463871,0.0024667685,0.0014319527,0.00013257947,0.00443878,0.00060716417,0.97738796],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922884,0.00007523327,0.000032069205,0.00014627307,0.00042319103,0.00009433389],"domain_scores_gemma":[0.9990036,0.00010233087,0.000035876354,0.00016195951,0.00046017,0.00023609646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089262024,0.0008053485,0.00053375616,0.0020959359,0.0013094023,0.0044168057,0.001814519,0.0015941474,0.45746785],"category_scores_gemma":[0.0022714313,0.00039862425,0.00054970605,0.0019980273,0.00050224864,0.003632894,0.0026440371,0.0015379948,0.3536277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029303434,0.00002165091,0.00012270652,0.0001867213,0.0000040268237,0.000039639566,0.000087874054,0.000096749725,0.0003105843,0.027658097,0.79143214,0.18001044],"study_design_scores_gemma":[0.0000014044093,0.000003128395,0.00004794979,0.000034661465,0.0000010832125,0.00002359558,0.000016329675,0.000012113932,0.000045558205,0.0017549822,0.99805766,0.0000015566771],"about_ca_topic_score_codex":0.0036718321,"about_ca_topic_score_gemma":0.006318627,"teacher_disagreement_score":0.45746785,"about_ca_system_score_codex":0.0015474919,"about_ca_system_score_gemma":0.00290305,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4388976789","doi":"10.1007/978-3-031-45043-3_7","title":"Interactivity","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interactivity; Computer science; Focus (optics); Dimension (graph theory); Human–computer interaction; Key (lock); Multimedia; Mathematics","score_opus":0.09378483333534199,"score_gpt":0.28771303726163994,"score_spread":0.19392820392629795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388976789","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027530675,0.0016872971,0.05460028,0.0018705697,0.00072102685,0.00006868046,0.00034338972,0.0014598934,0.9364957],"genre_scores_gemma":[0.13093789,0.0026959104,0.028978446,0.0023333863,0.00074908545,0.0005487078,0.0017695825,0.0018638627,0.83012307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812394,0.0005156778,0.000084420295,0.00041160063,0.00066357583,0.00020085771],"domain_scores_gemma":[0.9982999,0.0005188974,0.000067569206,0.0005974073,0.00033735312,0.00017885977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012051883,0.0011294144,0.0005411833,0.0014817648,0.0019642725,0.007686677,0.001639756,0.0015987608,0.110038705],"category_scores_gemma":[0.0037006403,0.00057963765,0.00077846274,0.0010373105,0.0026034948,0.010119314,0.006510342,0.002278565,0.036685664],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080575446,0.000053027437,0.0003548848,0.00030329733,0.000022560034,0.00019153365,0.0044587324,0.0003228243,0.004683615,0.78744674,0.07673569,0.12534654],"study_design_scores_gemma":[0.0000109445255,0.000019081748,0.0002861849,0.0001486921,0.000016692053,0.00030221845,0.00091991393,0.0006111024,0.0018120116,0.121796355,0.8740601,0.000016585564],"about_ca_topic_score_codex":0.0012910315,"about_ca_topic_score_gemma":0.0011306184,"teacher_disagreement_score":0.110038705,"about_ca_system_score_codex":0.00090221665,"about_ca_system_score_gemma":0.00089579955,"threshold_uncertainty_score":0.36811614},"labels":[],"label_agreement":null},{"id":"W4388977826","doi":"","title":"Version control for interdependent ontologies: challenges and first propositions","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Interdependence; Computer science; Control (management); Ontology; Knowledge management; Data science; Epistemology; Artificial intelligence; Sociology; Philosophy; Social science","score_opus":0.03366066609585334,"score_gpt":0.24969719264153997,"score_spread":0.21603652654568664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388977826","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01557509,0.005849832,0.96146035,0.00907303,0.00057556824,0.00013802023,0.00013704466,0.0011144866,0.0060765254],"genre_scores_gemma":[0.5536506,0.008671701,0.4158763,0.0035702074,0.0046481737,0.00046066297,0.0009720757,0.001840511,0.010309716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9327218,0.020278046,0.00727259,0.0137434825,0.021267863,0.0047162757],"domain_scores_gemma":[0.58645964,0.27216002,0.012973294,0.096547276,0.026417082,0.005442668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06285849,0.001477658,0.0047479863,0.0032055732,0.0044302302,0.02462094,0.009709393,0.008366778,0.006225091],"category_scores_gemma":[0.2157881,0.0023610967,0.0040660053,0.007078992,0.016852047,0.06632218,0.013678178,0.014881261,0.001700771],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003827078,0.0001322672,0.0014405858,0.0005236805,0.00015913942,0.00026219946,0.0009149758,0.017192194,0.0011995207,0.8460333,0.0062063145,0.12555309],"study_design_scores_gemma":[0.000057147703,0.000045442135,0.00019901342,0.00014455811,0.00006897136,0.0002188651,0.00017196589,0.07599558,0.0019647812,0.9142627,0.006807486,0.00006350499],"about_ca_topic_score_codex":0.004606851,"about_ca_topic_score_gemma":0.0018183767,"teacher_disagreement_score":0.06285849,"about_ca_system_score_codex":0.0059823175,"about_ca_system_score_gemma":0.005717999,"threshold_uncertainty_score":0.33243144},"labels":[],"label_agreement":null},{"id":"W4388985085","doi":"10.1007/978-3-031-45043-3","title":"Natural Language Interfaces to Databases","year":2023,"lang":"en","type":"book","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Database; Natural (archaeology); Computer science; Linguistics; History; Archaeology; Philosophy","score_opus":0.05939884682807921,"score_gpt":0.3151872066011007,"score_spread":0.2557883597730215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388985085","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014831307,0.050703574,0.23455498,0.00732449,0.0041465517,0.0001696887,0.0014190649,0.004308583,0.69588995],"genre_scores_gemma":[0.02171971,0.026704887,0.087516166,0.0035128098,0.0024800585,0.0004610775,0.004229076,0.0021692107,0.851207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992586,0.00018705815,0.000054792294,0.00012901715,0.0003278108,0.00004266345],"domain_scores_gemma":[0.9992434,0.00045248788,0.000023129845,0.00011011138,0.00013493959,0.000035974226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008367917,0.001120633,0.0010634743,0.0020935435,0.0008499338,0.0065554776,0.0014893763,0.0011763497,0.07010029],"category_scores_gemma":[0.0030478537,0.00094904756,0.00065443304,0.0033557825,0.002186346,0.009551227,0.0018514055,0.0025680182,0.027826335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000241557,0.00003808279,0.000048302674,0.0003982604,0.000011287063,0.000057744062,0.00046336683,0.00042284388,0.0010419228,0.49314404,0.3610824,0.14326757],"study_design_scores_gemma":[0.000009708826,0.000005354262,0.00007072862,0.0001309803,0.0000067338474,0.00008244588,0.000066371824,0.00089602143,0.00031684648,0.22247848,0.7759299,0.0000062974655],"about_ca_topic_score_codex":0.0024989326,"about_ca_topic_score_gemma":0.0030482495,"teacher_disagreement_score":0.07010029,"about_ca_system_score_codex":0.0017204547,"about_ca_system_score_gemma":0.0008798074,"threshold_uncertainty_score":0.23450881},"labels":[],"label_agreement":null},{"id":"W4389083325","doi":"10.1007/978-3-031-47627-3_7","title":"Lessons Learned and Outlook","year":2023,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Demise; Search engine indexing; Computer science; Data science; Information retrieval; Political science","score_opus":0.07936654825673177,"score_gpt":0.3019770977244874,"score_spread":0.2226105494677556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389083325","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025394228,0.094917715,0.007168741,0.47544765,0.07308415,0.00009459138,0.0015316308,0.0007919752,0.34442416],"genre_scores_gemma":[0.052529167,0.15502006,0.017201994,0.16498396,0.022002386,0.00025485829,0.0031059333,0.00062979484,0.58427185],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975552,0.0006231331,0.00009034756,0.00030895224,0.0008937519,0.0005285887],"domain_scores_gemma":[0.9930894,0.0011947425,0.0001561994,0.00050722255,0.0029786623,0.0020738507],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007168077,0.00080966984,0.00067307474,0.0019792647,0.0021523999,0.009847568,0.002624476,0.0047637536,0.12959464],"category_scores_gemma":[0.0117705185,0.00021026608,0.0008178654,0.00203065,0.0023345063,0.012107535,0.0040717483,0.0047171176,0.042164877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082117556,0.00012910677,0.00034190042,0.0004886744,0.000010067871,0.00019679057,0.00034656265,0.0003709136,0.00016159755,0.13539544,0.65324897,0.2092279],"study_design_scores_gemma":[0.000013722381,0.000027909633,0.00021616631,0.00080802845,0.000009116169,0.00014853237,0.0011915585,0.00012725261,0.00014362736,0.058114447,0.9391867,0.000012849105],"about_ca_topic_score_codex":0.0081524495,"about_ca_topic_score_gemma":0.013999255,"teacher_disagreement_score":0.8704054,"about_ca_system_score_codex":0.0038905183,"about_ca_system_score_gemma":0.01102831,"threshold_uncertainty_score":0.43353724},"labels":[],"label_agreement":null},{"id":"W4389114964","doi":"10.48550/arxiv.2311.15689","title":"Two Approaches to the Identity of Processes in BFO","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Japan Society for the Promotion of Science","keywords":"Identity (music); Computer science; Process (computing); Focus (optics); Ontology; Simple (philosophy); Realization (probability); Epistemology; Cognitive science; Psychology; Mathematics; Philosophy; Aesthetics","score_opus":0.3447053871183121,"score_gpt":0.22706788863946578,"score_spread":0.11763749847884633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389114964","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01279445,0.0011516153,0.8930515,0.0065710465,0.0003300903,0.00023147117,0.00009144919,0.0002115495,0.08556679],"genre_scores_gemma":[0.4808378,0.0015651847,0.4872062,0.0017746811,0.0005882982,0.0010252063,0.00042701856,0.00027629666,0.026299367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98883855,0.0044541694,0.0007926872,0.0017427156,0.0030895926,0.0010822243],"domain_scores_gemma":[0.9916551,0.003214329,0.0007414636,0.0022076985,0.0014075754,0.00077381264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011772533,0.00078627706,0.0010828669,0.004795315,0.004789411,0.009921442,0.003330766,0.0048856004,0.005190449],"category_scores_gemma":[0.014753822,0.0008990527,0.0023221516,0.00307113,0.024446992,0.023072718,0.011155191,0.008426653,0.0009791533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031265877,0.0000052180535,0.00004423239,0.00000797781,0.0000011214987,0.000013475316,0.00055873586,0.00009643936,0.000032243523,0.99765414,0.00008070408,0.0015026677],"study_design_scores_gemma":[0.000009358383,0.000009302094,0.00010384726,0.000033641587,0.0000065037257,0.00006129461,0.00052964455,0.00237854,0.00020582869,0.9798926,0.016758597,0.0000107006235],"about_ca_topic_score_codex":0.005581296,"about_ca_topic_score_gemma":0.00261647,"teacher_disagreement_score":0.011772533,"about_ca_system_score_codex":0.0066898023,"about_ca_system_score_gemma":0.0049571223,"threshold_uncertainty_score":0.062259853},"labels":[],"label_agreement":null},{"id":"W4389178355","doi":"","title":"Joint Proceedings of the Onto4FAIR 2023 Workshops: Collocated with 13th International Conference on Formal Ontology in Information Systems (FOIS 2023) and 19th International Conference on Semantic Systems (SEMANTICS 2023)","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Rural Development Administration; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft","keywords":"Joint (building); Environmental science; Engineering; Architectural engineering","score_opus":0.03587306071345878,"score_gpt":0.24139651069145962,"score_spread":0.20552344997800084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389178355","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03672123,0.026433747,0.5334906,0.04857642,0.16088566,0.0018370104,0.010020504,0.00687926,0.17515555],"genre_scores_gemma":[0.081628464,0.012207038,0.2028742,0.0072391997,0.015252845,0.0010679357,0.029491967,0.0062750326,0.64396334],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99469346,0.001744384,0.00027386367,0.0007774244,0.0018210514,0.0006896636],"domain_scores_gemma":[0.9890661,0.002024479,0.00022141426,0.0019610014,0.004437899,0.0022891366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013484124,0.0016918781,0.002196001,0.002151603,0.0025672365,0.0084457025,0.0021219098,0.003597739,0.0472811],"category_scores_gemma":[0.009107881,0.00071530236,0.002386947,0.002004206,0.0014642914,0.0047927876,0.0057222783,0.0039270814,0.02382149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011094717,0.0007714833,0.0008661736,0.0008277999,0.0001678834,0.00051007885,0.00075348077,0.0022581099,0.0119726015,0.021748291,0.71121305,0.24780162],"study_design_scores_gemma":[0.00007280609,0.0001744971,0.0014619633,0.00017069936,0.000079507285,0.00029472244,0.00038654177,0.0052786605,0.006508223,0.012650428,0.97285706,0.00006492223],"about_ca_topic_score_codex":0.007991728,"about_ca_topic_score_gemma":0.017029036,"teacher_disagreement_score":0.0472811,"about_ca_system_score_codex":0.0025088107,"about_ca_system_score_gemma":0.006394501,"threshold_uncertainty_score":0.15817112},"labels":[],"label_agreement":null},{"id":"W4389519095","doi":"10.18653/v1/2023.emnlp-main.686","title":"SpEL: Structured Prediction for Entity Linking","year":2023,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Security token; Entity linking; Inference; Natural language processing; Artificial intelligence; Vocabulary; Context (archaeology); Task (project management); Benchmark (surveying); Ontology; Information retrieval; Knowledge base","score_opus":0.033333628999401066,"score_gpt":0.27312233290935656,"score_spread":0.2397887039099555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389519095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01750302,0.0010407999,0.6050556,0.00094383577,0.00058490416,0.0005821129,0.0492588,0.31778726,0.0072436347],"genre_scores_gemma":[0.09099777,0.0006144286,0.7222634,0.000592011,0.00017553082,0.000551732,0.17072688,0.004392912,0.009685347],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797755,0.00036702593,0.00014656509,0.0008178869,0.0005818817,0.00010906853],"domain_scores_gemma":[0.9960995,0.0013590525,0.00024396929,0.0016823515,0.00047130566,0.0001437782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023790684,0.0022865923,0.00096912857,0.0040753908,0.0011815318,0.002262639,0.0042387545,0.0022295297,0.014429912],"category_scores_gemma":[0.010109155,0.0010265738,0.0017822514,0.0038086732,0.0007705545,0.007161181,0.004238523,0.0032299964,0.013030501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005068704,0.00050748227,0.0077085188,0.0010532836,0.0003701818,0.0005034295,0.00031582115,0.06502401,0.0066999504,0.01693806,0.38608718,0.5142852],"study_design_scores_gemma":[0.00011364061,0.00012541784,0.0017111555,0.00009823771,0.000089302404,0.00027422584,0.00010643101,0.8375884,0.016454063,0.040680744,0.102677576,0.000080759215],"about_ca_topic_score_codex":0.008257852,"about_ca_topic_score_gemma":0.016495043,"teacher_disagreement_score":0.014429912,"about_ca_system_score_codex":0.0010587908,"about_ca_system_score_gemma":0.002300179,"threshold_uncertainty_score":0.04827279},"labels":[],"label_agreement":null},{"id":"W4389822098","doi":"","title":"Sharing Linked Data for Health Research: Towards Better Decision Making","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data sharing; Computer science; Data science; Medicine; Alternative medicine","score_opus":0.7588228161148493,"score_gpt":0.6659076843107978,"score_spread":0.09291513180405142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389822098","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009962899,0.041819513,0.13798796,0.60469526,0.009885146,0.0007572997,0.0011232086,0.001167784,0.20156765],"genre_scores_gemma":[0.06530865,0.16775304,0.39766982,0.16491261,0.02613558,0.0046327217,0.0060790605,0.004131993,0.16337654],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.83855677,0.11211143,0.0061525125,0.0056942645,0.034682773,0.0028023887],"domain_scores_gemma":[0.6712309,0.2690715,0.006145739,0.027661445,0.017490251,0.0084001245],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.17699027,0.00199642,0.0039156755,0.00683068,0.006163533,0.061738037,0.009532957,0.016620534,0.068702094],"category_scores_gemma":[0.24198899,0.0033424858,0.0025495393,0.011008544,0.03629687,0.08062313,0.03906877,0.023870151,0.030530887],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003295376,0.00003842341,0.00021059363,0.00076097116,0.00006192977,0.00013394051,0.00324043,0.0011472496,0.00014339779,0.5250967,0.37039554,0.098737806],"study_design_scores_gemma":[0.000020640811,0.000012760619,0.00009417238,0.0020080244,0.000009868592,0.000080281636,0.001815105,0.00066983374,0.000056710756,0.42735758,0.56783015,0.00004491867],"about_ca_topic_score_codex":0.004250714,"about_ca_topic_score_gemma":0.0034752456,"teacher_disagreement_score":0.9904671,"about_ca_system_score_codex":0.010495566,"about_ca_system_score_gemma":0.027796112,"threshold_uncertainty_score":0.9360252},"labels":[],"label_agreement":null},{"id":"W4390048729","doi":"10.3233/faia231114","title":"An Ontology for Event Location","year":2023,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mereology; Spacetime; Ontology; Event (particle physics); Harmony (color); Computer science; Epistemology; Philosophy","score_opus":0.06716124870964005,"score_gpt":0.3190585934119466,"score_spread":0.2518973447023065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390048729","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002527691,0.0023055682,0.6548103,0.006944713,0.001556085,0.00026579417,0.0016359346,0.0013790908,0.32857475],"genre_scores_gemma":[0.14512444,0.0060397736,0.6709961,0.004213109,0.0013847551,0.0008688175,0.005635092,0.00088940904,0.16484843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850404,0.00039125455,0.00018358027,0.00035032636,0.0004382198,0.00013260765],"domain_scores_gemma":[0.9988294,0.00034030023,0.00009686747,0.00032825707,0.00028679814,0.00011826781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017050706,0.00072461617,0.0005804232,0.0029343476,0.0036898872,0.006135079,0.002133859,0.0026876698,0.014806524],"category_scores_gemma":[0.0028880741,0.00066909596,0.0014421296,0.003425879,0.00451365,0.015374333,0.004521005,0.0041891565,0.005040543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033629703,0.000005144287,0.00003980001,0.000027064767,0.0000021078956,0.000041639745,0.0003165144,0.00020342025,0.00012655971,0.98604685,0.0055049662,0.007682584],"study_design_scores_gemma":[0.000008740112,0.000004814703,0.0001156735,0.00009917838,0.000011034554,0.0003223513,0.00034505318,0.0025569443,0.00024203777,0.41532347,0.580955,0.000015801234],"about_ca_topic_score_codex":0.008524979,"about_ca_topic_score_gemma":0.008318433,"teacher_disagreement_score":0.014806524,"about_ca_system_score_codex":0.0033417253,"about_ca_system_score_gemma":0.004445836,"threshold_uncertainty_score":0.04953283},"labels":[],"label_agreement":null},{"id":"W4390776420","doi":"10.1007/978-3-031-45043-3_8","title":"Correction to: Natural Language Interfaces to Databases","year":2024,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on data management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Natural (archaeology); Database; Natural language processing; Information retrieval; Programming language; History; Archaeology","score_opus":0.038868677709695196,"score_gpt":0.29882066628214676,"score_spread":0.25995198857245155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390776420","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018786406,0.000839583,0.0035603044,0.12706314,0.85374004,0.000053510677,0.001288356,0.0023096746,0.010957445],"genre_scores_gemma":[0.018190479,0.0037390874,0.011200586,0.1850164,0.34298983,0.0003949265,0.0027806766,0.0041211,0.43156692],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99290633,0.0010172888,0.0009828525,0.0010167514,0.0034196903,0.0006571104],"domain_scores_gemma":[0.9522734,0.008647042,0.0015604394,0.00477604,0.031403966,0.0013390551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039065485,0.002094246,0.002322032,0.006553338,0.005255555,0.0061909393,0.0047429437,0.010225001,0.11001343],"category_scores_gemma":[0.064003214,0.0013228303,0.0017319543,0.0049589337,0.0036287026,0.0051415768,0.003053485,0.012958982,0.07628045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012615485,0.0000051743536,0.000022748773,0.000049432096,0.0000054365532,0.00005747955,0.000023857954,0.000022705013,0.000031598604,0.0018331745,0.99374044,0.0041954718],"study_design_scores_gemma":[0.00002731559,0.000012048796,0.00039795705,0.00013083367,0.000023401548,0.00023392947,0.00007724401,0.0004514771,0.00040562398,0.0058731204,0.99233717,0.000029868932],"about_ca_topic_score_codex":0.019183075,"about_ca_topic_score_gemma":0.02363202,"teacher_disagreement_score":0.11001343,"about_ca_system_score_codex":0.006006018,"about_ca_system_score_gemma":0.005163759,"threshold_uncertainty_score":0.36803156},"labels":[],"label_agreement":null},{"id":"W4390835141","doi":"10.13140/rg.2.2.33309.38881","title":"CALCULER LA SÉMANTIQUE AVEC IEML","year":2023,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Data science; Natural language processing; World Wide Web","score_opus":0.03330757558379217,"score_gpt":0.2537473511467099,"score_spread":0.22043977556291772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390835141","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004245604,0.00026337904,0.9801052,0.0007675444,0.00029442197,0.00008655536,0.00045513114,0.0044149207,0.0093672555],"genre_scores_gemma":[0.07787951,0.0010513983,0.90659606,0.00045769883,0.00032669262,0.00029355698,0.0020075296,0.002026638,0.00936094],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99236286,0.002490739,0.0005820487,0.0012055832,0.003011644,0.00034709045],"domain_scores_gemma":[0.99561983,0.0021925138,0.00022255663,0.000979041,0.0008592356,0.00012676965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004773589,0.0019575655,0.0011105383,0.0032802285,0.0017749107,0.01233563,0.0019060866,0.0018425488,0.010976227],"category_scores_gemma":[0.015018852,0.0011834753,0.0039170054,0.002557519,0.0046920883,0.011213832,0.0036019154,0.006267642,0.0049604913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001518996,0.00010055992,0.0008739185,0.00039637682,0.0001445819,0.00042426024,0.0010240906,0.020489616,0.0049507576,0.85679775,0.0083099995,0.106336124],"study_design_scores_gemma":[0.00014470694,0.00008601127,0.0006832842,0.00022561544,0.00009894645,0.0006046292,0.0007707961,0.17619029,0.019585505,0.52221745,0.27923045,0.00016235383],"about_ca_topic_score_codex":0.0118542155,"about_ca_topic_score_gemma":0.009402231,"teacher_disagreement_score":0.01233563,"about_ca_system_score_codex":0.003142055,"about_ca_system_score_gemma":0.0033426622,"threshold_uncertainty_score":0.036719143},"labels":[],"label_agreement":null},{"id":"W4391077765","doi":"10.23106/dcmi.953313842","title":"ISO/IEC 19788-1: A metadata framework","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metadata; Computer science; Software engineering; World Wide Web","score_opus":0.023430585403128038,"score_gpt":0.24887864698849602,"score_spread":0.22544806158536798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391077765","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008199555,0.0028534,0.8641054,0.006911547,0.003125564,0.0036716415,0.021504236,0.018966865,0.07066185],"genre_scores_gemma":[0.038032856,0.0054222057,0.8156504,0.0026283062,0.0011778055,0.005373275,0.08227918,0.005677848,0.0437581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9772182,0.0059758164,0.0061398204,0.0010517362,0.008332809,0.0012816563],"domain_scores_gemma":[0.9699837,0.0046883514,0.0024584974,0.0047126617,0.016828185,0.0013285987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024530139,0.00298693,0.002435596,0.020689972,0.003998432,0.010761989,0.0043449597,0.006802585,0.006983923],"category_scores_gemma":[0.02646443,0.0018470056,0.0026555753,0.0147117665,0.004151979,0.014272753,0.0047123246,0.006035825,0.015288691],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000517545,0.00087954034,0.0024333792,0.003651648,0.00016237349,0.0012164947,0.003497169,0.008674338,0.023897314,0.46762255,0.2350932,0.25235438],"study_design_scores_gemma":[0.000087312976,0.000107724016,0.0011301014,0.0016407039,0.00018010776,0.0005702672,0.00074711384,0.005458292,0.009651177,0.038046297,0.9422077,0.00017321255],"about_ca_topic_score_codex":0.02776347,"about_ca_topic_score_gemma":0.021549322,"teacher_disagreement_score":0.02776347,"about_ca_system_score_codex":0.0057458887,"about_ca_system_score_gemma":0.026006863,"threshold_uncertainty_score":0.12972933},"labels":[],"label_agreement":null},{"id":"W4391312241","doi":"10.33137/rr.v42i2.32993","title":"Pyysalo, Sampo, project lead. brat Rapid Annotation Tool. Web-based annotation and visualization tool.","year":2019,"lang":"en","type":"article","venue":"Renaissance and Reformation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"Annotation; Visualization; Computer science; Lead (geology); World Wide Web; Artificial intelligence; Biology","score_opus":0.016877467367290927,"score_gpt":0.26179080901073554,"score_spread":0.2449133416434446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391312241","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066866353,0.0016720998,0.4154869,0.0051821023,0.0015818181,0.0013339669,0.19493392,0.33553907,0.037583515],"genre_scores_gemma":[0.02928978,0.0014533257,0.50070006,0.0012554524,0.00024034904,0.0030161908,0.2837744,0.10589357,0.07437681],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99575585,0.0009568735,0.0004366121,0.0007071204,0.001871985,0.00027159863],"domain_scores_gemma":[0.9839041,0.0059855706,0.00065259746,0.0030626806,0.0049880184,0.0014070251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009144624,0.002512228,0.0016136335,0.0074698157,0.0027371894,0.005188098,0.0032843454,0.0026118276,0.08639185],"category_scores_gemma":[0.025797743,0.0018922079,0.0014021725,0.006121104,0.0010868722,0.008422267,0.0054164166,0.0033544896,0.08228804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013033055,0.00018698584,0.0015347034,0.0020048267,0.00008514239,0.0004927421,0.0016131497,0.00092635927,0.013054811,0.0090153,0.75184286,0.21793973],"study_design_scores_gemma":[0.00037470454,0.00012263104,0.0029351593,0.0005612595,0.00014679912,0.0005960605,0.00089228956,0.009595278,0.023859857,0.014215306,0.94649047,0.0002101922],"about_ca_topic_score_codex":0.0082168635,"about_ca_topic_score_gemma":0.009154125,"teacher_disagreement_score":0.08639185,"about_ca_system_score_codex":0.00094299234,"about_ca_system_score_gemma":0.0044118157,"threshold_uncertainty_score":0.2890095},"labels":[],"label_agreement":null},{"id":"W4391530962","doi":"10.22214/ijraset.2024.58264","title":"Journeying through Query Verse: A MERN-Stack Implementation for Dynamic Web-based Inquiry","year":2024,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministère de l'Énergie et des Ressources Naturelles","keywords":"Computer science; Stack (abstract data type); Web search query; World Wide Web; Information retrieval; Database; Programming language; Search engine","score_opus":0.10098246728487052,"score_gpt":0.4669687846249901,"score_spread":0.36598631734011955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391530962","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044323936,0.00060731714,0.72594047,0.0013656956,0.0002289366,0.0014630572,0.0020878927,0.19537026,0.02861231],"genre_scores_gemma":[0.3299201,0.00047286449,0.62340784,0.0008161584,0.00006253053,0.00092122925,0.0060509075,0.011069073,0.027279353],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981535,0.0005133471,0.00019625257,0.00032920137,0.00062159775,0.00018607189],"domain_scores_gemma":[0.99756503,0.0011476853,0.00009525168,0.0005254449,0.0003193212,0.00034729324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004492872,0.0007242213,0.00075370754,0.0013728419,0.0012079524,0.003927958,0.002777513,0.002028164,0.022409122],"category_scores_gemma":[0.008374305,0.0005781325,0.00093613827,0.00088961323,0.0012940809,0.0059959856,0.007509451,0.0014503332,0.005468629],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048131715,0.002029703,0.014802123,0.0024996267,0.0003725561,0.0027252873,0.026092008,0.009174997,0.052055597,0.11593811,0.07446768,0.6950292],"study_design_scores_gemma":[0.00058501266,0.00073868403,0.005409521,0.0008950873,0.00023339105,0.0015336646,0.0065761106,0.2678128,0.039594263,0.070454344,0.6056681,0.00049895473],"about_ca_topic_score_codex":0.0040590656,"about_ca_topic_score_gemma":0.008313439,"teacher_disagreement_score":0.022409122,"about_ca_system_score_codex":0.0011844892,"about_ca_system_score_gemma":0.0014446967,"threshold_uncertainty_score":0.074965954},"labels":[],"label_agreement":null},{"id":"W4391612485","doi":"10.7340/anuac2239-625x-3065","title":"In/formalization","year":2017,"lang":"en","type":"article","venue":"ANUAC.","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Business","score_opus":0.023380099887631275,"score_gpt":0.29714208110174717,"score_spread":0.2737619812141159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391612485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023493735,0.002753277,0.5207119,0.026206162,0.0015995327,0.0005868543,0.0005732664,0.0014897679,0.4225855],"genre_scores_gemma":[0.69895256,0.0034145208,0.19187151,0.0039067618,0.0010326444,0.0007120162,0.0013904764,0.0013311872,0.09738832],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9890842,0.0055664876,0.0009140468,0.0016913022,0.0019704201,0.00077353476],"domain_scores_gemma":[0.98971355,0.0036249456,0.0007715695,0.00394782,0.0015331664,0.00040893967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012468557,0.0009408829,0.00064946606,0.002075347,0.0035991028,0.011297024,0.002461173,0.0019624971,0.012999115],"category_scores_gemma":[0.013235683,0.0005105931,0.0011690385,0.0014274333,0.014585614,0.013602711,0.009816318,0.0036008628,0.0021921615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007902873,0.000014286989,0.000204014,0.000080934755,0.000005040725,0.000065853164,0.004195308,0.00029128246,0.000506771,0.97853124,0.0030877786,0.013009496],"study_design_scores_gemma":[0.000010119911,0.00002441059,0.00024368071,0.00028642116,0.000018908286,0.00023426535,0.004945736,0.0018231795,0.0020526296,0.5660412,0.42429042,0.000029017114],"about_ca_topic_score_codex":0.00441854,"about_ca_topic_score_gemma":0.0030992047,"teacher_disagreement_score":0.012999115,"about_ca_system_score_codex":0.00450136,"about_ca_system_score_gemma":0.0066370973,"threshold_uncertainty_score":0.06594086},"labels":[],"label_agreement":null},{"id":"W4391630552","doi":"10.31234/osf.io/upn8e","title":"Using Compositionality to Learn Many Categories from Few Examples","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; NOMIS Stiftung","keywords":"Principle of compositionality; Computer science; Natural language processing; Linguistics; Cognitive science; Artificial intelligence; Psychology; Philosophy","score_opus":0.11504563169566322,"score_gpt":0.3335866663014433,"score_spread":0.21854103460578006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391630552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19227946,0.0004115145,0.78923744,0.0013515103,0.00007878776,0.00016597302,0.00025010252,0.0011725059,0.015052725],"genre_scores_gemma":[0.71685976,0.00024015053,0.27825963,0.00041989257,0.000035046836,0.00015041944,0.00054548105,0.0001514053,0.0033382291],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983198,0.00075331144,0.00006869489,0.00055221055,0.0002371245,0.000068905894],"domain_scores_gemma":[0.9926835,0.004965365,0.0004564684,0.0013087378,0.0003567284,0.00022919469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027416132,0.0006381646,0.00042543843,0.00061210286,0.00064197934,0.0015632764,0.001207022,0.0010518604,0.005397185],"category_scores_gemma":[0.020468254,0.0004043296,0.00085752225,0.00037497288,0.0022621492,0.007748854,0.0027293765,0.0019944354,0.00081572274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006438172,0.0004655688,0.018692493,0.001286608,0.00028782466,0.000388998,0.005633117,0.045731768,0.056580923,0.24863671,0.005638137,0.61601406],"study_design_scores_gemma":[0.00006145886,0.00025998452,0.0041070534,0.00013364249,0.00008983813,0.00049825443,0.00088682707,0.26740733,0.021314869,0.6900445,0.015105426,0.00009076416],"about_ca_topic_score_codex":0.0009451408,"about_ca_topic_score_gemma":0.0016355554,"teacher_disagreement_score":0.005397185,"about_ca_system_score_codex":0.00047241157,"about_ca_system_score_gemma":0.0006010543,"threshold_uncertainty_score":0.01805532},"labels":[],"label_agreement":null},{"id":"W4391727657","doi":"10.1007/978-3-031-17299-1_1795","title":"Metadata in the Social Sciences","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Metadata; World Wide Web; Computer science; Data science; Information retrieval","score_opus":0.1736733240866094,"score_gpt":0.33365676264364674,"score_spread":0.15998343855703734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391727657","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009808163,0.17085299,0.039080117,0.01627462,0.005627635,0.000072378236,0.0005912073,0.00036978733,0.7661504],"genre_scores_gemma":[0.041434944,0.22137958,0.0423636,0.008395168,0.0081884125,0.00026088557,0.0018367992,0.00057908404,0.6755616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992142,0.00026914736,0.000051001578,0.000062228435,0.0003657682,0.000037689533],"domain_scores_gemma":[0.9988669,0.00077325944,0.000040355862,0.00010549461,0.00014678678,0.00006720774],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0012765902,0.0007888772,0.00073765207,0.0057066213,0.0019041979,0.007413414,0.0007581558,0.0017233463,0.018243574],"category_scores_gemma":[0.002654896,0.00043586714,0.00044472422,0.009447413,0.0047093425,0.011750451,0.0026477643,0.002382974,0.0074619534],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000420885,0.000012993928,0.000050936535,0.0002297494,0.0000049578944,0.000026197164,0.00039269353,0.00017373417,0.00012168768,0.8301119,0.099545516,0.06932542],"study_design_scores_gemma":[0.0000016425693,0.0000028919494,0.00007675981,0.0002887368,0.0000035191879,0.00005805661,0.00022143126,0.00020554727,0.00008538565,0.3268578,0.67219365,0.000004648284],"about_ca_topic_score_codex":0.0051307683,"about_ca_topic_score_gemma":0.009148738,"teacher_disagreement_score":0.9925866,"about_ca_system_score_codex":0.003164318,"about_ca_system_score_gemma":0.003473474,"threshold_uncertainty_score":0.061030865},"labels":[],"label_agreement":null},{"id":"W4392108397","doi":"10.15173/m.v1i44.3621","title":"Sharing Science Made Simple: Exploring the Quality and Readability of Published Lay Summaries","year":2024,"lang":"en","type":"article","venue":"The Meducator","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Simple (philosophy); Quality (philosophy); Data science; Computer science; Management science; Engineering; Epistemology","score_opus":0.10659745229047213,"score_gpt":0.35325066271220357,"score_spread":0.24665321042173144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392108397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9263222,0.0095786005,0.034849133,0.006199065,0.0007830006,0.0006351921,0.0033788134,0.0007453482,0.017508602],"genre_scores_gemma":[0.9672578,0.003418485,0.024850663,0.0005571223,0.0004842269,0.00041726552,0.0016546722,0.00014639835,0.0012134368],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.95284325,0.024396388,0.010785194,0.0014807985,0.009996915,0.0004975581],"domain_scores_gemma":[0.47066677,0.34119186,0.101368114,0.020698342,0.062036928,0.004038024],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.060862698,0.0003916744,0.000775039,0.014668809,0.0010338174,0.0057974537,0.0007768402,0.000696677,0.002904181],"category_scores_gemma":[0.45060128,0.00029897233,0.00077541056,0.00781914,0.0012471415,0.007030778,0.0038340003,0.00087882834,0.0005902363],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010544736,0.00023138948,0.2820753,0.007921607,0.0010872358,0.0005972177,0.09680016,0.0021066398,0.005794489,0.00458684,0.012865385,0.5848793],"study_design_scores_gemma":[0.00012758936,0.0020470347,0.8007743,0.0066161156,0.0008732415,0.0017476018,0.06152752,0.0061515174,0.008056593,0.016914709,0.09466604,0.0004977255],"about_ca_topic_score_codex":0.0010016222,"about_ca_topic_score_gemma":0.0018028772,"teacher_disagreement_score":0.9391373,"about_ca_system_score_codex":0.0013017916,"about_ca_system_score_gemma":0.0019433487,"threshold_uncertainty_score":0.3218766},"labels":[],"label_agreement":null},{"id":"W4392200503","doi":"10.18280/isi.290107","title":"A Hidden Markov Model-Based Approach for Lightweight Ontology Modularization Using K-Means Clustering","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modular programming; Computer science; Cluster analysis; Markov chain; Ontology; Hidden Markov model; Data mining; Artificial intelligence; Machine learning; Programming language","score_opus":0.026035925975270685,"score_gpt":0.25115906710548647,"score_spread":0.22512314113021578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392200503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051162266,0.0000958645,0.9929972,0.00007845969,0.000023087023,0.000058584425,0.00008824414,0.001151777,0.000390696],"genre_scores_gemma":[0.2206413,0.00026352578,0.77344304,0.00018466232,0.00005094595,0.0003784788,0.0013680999,0.00040539002,0.003264533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986327,0.00027740982,0.00011126164,0.0004831393,0.0003498575,0.00014547126],"domain_scores_gemma":[0.99904245,0.00038220035,0.00008606576,0.00012276553,0.0003206694,0.000045713758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001205925,0.0010669118,0.0011354792,0.0021735872,0.0013794565,0.0011477907,0.002304157,0.0012249179,0.0021528392],"category_scores_gemma":[0.0030386555,0.00081998325,0.002353263,0.0019112917,0.00066377764,0.0015783348,0.0014001202,0.0016354028,0.0010577282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023738595,0.0002144908,0.004039097,0.00020848049,0.00040500073,0.00017751261,0.0006152146,0.5444305,0.008182816,0.016115844,0.0053414362,0.42003217],"study_design_scores_gemma":[0.0000068563145,0.000013462345,0.00032103292,0.000008280499,0.000022794153,0.000023114148,0.000037011407,0.99162805,0.001298804,0.005899113,0.00072608504,0.000015331345],"about_ca_topic_score_codex":0.045437135,"about_ca_topic_score_gemma":0.041685596,"teacher_disagreement_score":0.045437135,"about_ca_system_score_codex":0.0018144706,"about_ca_system_score_gemma":0.0026504125,"threshold_uncertainty_score":0.09034532},"labels":[],"label_agreement":null},{"id":"W4392305517","doi":"10.5220/0012406600003636","title":"A Description Language for Similarity, Belief Change and Trust","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Similarity (geometry); Natural language processing; Artificial intelligence","score_opus":0.0801375774051925,"score_gpt":0.2962709743760419,"score_spread":0.21613339697084938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392305517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014554085,0.00030482083,0.99275345,0.0008298764,0.00012476985,0.0001255876,0.0011052726,0.00096049916,0.0023404008],"genre_scores_gemma":[0.108276494,0.00072053104,0.8784892,0.00066657545,0.00021171838,0.000843872,0.003624108,0.0004878868,0.0066796304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99460524,0.0015550379,0.0014112798,0.0007573328,0.0014067352,0.00026432908],"domain_scores_gemma":[0.99312043,0.0035118193,0.00050248124,0.001382586,0.0012385988,0.00024416743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005405754,0.000977756,0.0011884832,0.0030142057,0.0014451866,0.0049526696,0.002567433,0.002396333,0.006496528],"category_scores_gemma":[0.013018377,0.00092854723,0.0034093685,0.0037097353,0.0023600613,0.01252769,0.0033894985,0.003451663,0.0019925085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000522194,0.000046694,0.00039811397,0.00022987739,0.000052585212,0.00023080326,0.0006671836,0.006149714,0.00094907056,0.9362724,0.007033711,0.047917664],"study_design_scores_gemma":[0.000049738934,0.000051179504,0.00021138937,0.00014315343,0.000091957394,0.0005540319,0.00034776266,0.09921769,0.0026297185,0.814313,0.082315676,0.00007469127],"about_ca_topic_score_codex":0.008574429,"about_ca_topic_score_gemma":0.007075604,"teacher_disagreement_score":0.008574429,"about_ca_system_score_codex":0.0022518805,"about_ca_system_score_gemma":0.0026376254,"threshold_uncertainty_score":0.028588712},"labels":[],"label_agreement":null},{"id":"W4392307080","doi":"10.1007/978-981-97-0903-8_8","title":"Semantic Similarity Functions and Their Applications","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Similarity (geometry); Semantic similarity; Information retrieval; Natural language processing; Artificial intelligence","score_opus":0.038711229711014795,"score_gpt":0.27834463780351576,"score_spread":0.23963340809250097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392307080","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012717375,0.04806126,0.8684626,0.0014525636,0.0010868746,0.00012483136,0.000525498,0.00093948556,0.06662946],"genre_scores_gemma":[0.2766001,0.038955368,0.6337872,0.0009853424,0.0020601118,0.0006057605,0.0016185269,0.0006975187,0.044690125],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99805886,0.0004864147,0.00022139457,0.00037756126,0.0007779396,0.00007778517],"domain_scores_gemma":[0.9980742,0.0011125897,0.0001198644,0.0002528232,0.00038528698,0.000055347486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018741471,0.0008364537,0.0016071788,0.007263651,0.001292597,0.004001669,0.0016462589,0.0018853291,0.006557586],"category_scores_gemma":[0.008549923,0.00050476805,0.0010870243,0.014259711,0.0027780426,0.008638169,0.0024610923,0.0018092842,0.0027052462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020092539,0.000035037134,0.00022236268,0.00021308377,0.000019089532,0.000048581427,0.00018442656,0.0025111414,0.00047930633,0.77941066,0.0051605706,0.21169563],"study_design_scores_gemma":[0.0000044750336,0.000016061438,0.0002775349,0.00009169847,0.000020002208,0.00024280389,0.00013089832,0.024492063,0.000776626,0.9372493,0.036678948,0.000019590616],"about_ca_topic_score_codex":0.0012751422,"about_ca_topic_score_gemma":0.000656027,"teacher_disagreement_score":0.007263651,"about_ca_system_score_codex":0.001528248,"about_ca_system_score_gemma":0.0006941031,"threshold_uncertainty_score":0.02193731},"labels":[],"label_agreement":null},{"id":"W4392385285","doi":"10.18280/ria.380125","title":"Building a Semantic Knowledge Graph Search Model for Finding a Causal Answer","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Semantic search; Graph; Knowledge graph; Artificial intelligence; Natural language processing; Information retrieval; Theoretical computer science; Semantic Web","score_opus":0.10285304834391318,"score_gpt":0.35105245543338126,"score_spread":0.24819940708946808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392385285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018076273,0.00029094153,0.97448856,0.0012650536,0.000035371264,0.000092962924,0.00050558994,0.0005168738,0.0047284253],"genre_scores_gemma":[0.49467534,0.0008266289,0.4948685,0.00060346385,0.00006221406,0.00032176127,0.0019319408,0.00018984216,0.0065202448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929523,0.00019457881,0.00005722194,0.00023184724,0.000155,0.00006610507],"domain_scores_gemma":[0.9983882,0.0010355398,0.0001329179,0.00014425926,0.0002239874,0.00007514482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010705293,0.0005082078,0.0007374999,0.0024975627,0.0008165373,0.001832342,0.0015432385,0.0019437658,0.005778255],"category_scores_gemma":[0.0066587455,0.0003386385,0.0015129275,0.0021687245,0.0011373899,0.006402856,0.0016019898,0.0015299743,0.0009183812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001573233,0.0001656358,0.0025420121,0.00041745507,0.00011638601,0.00020253327,0.00046433715,0.3697946,0.0026843112,0.47349522,0.008932477,0.14102773],"study_design_scores_gemma":[0.000012269581,0.000018395458,0.000105185005,0.00002282043,0.000021809405,0.000037351816,0.000059795824,0.7901878,0.00049407955,0.20711814,0.0019111558,0.0000113125425],"about_ca_topic_score_codex":0.00915061,"about_ca_topic_score_gemma":0.011421332,"teacher_disagreement_score":0.00915061,"about_ca_system_score_codex":0.0016378413,"about_ca_system_score_gemma":0.0023040343,"threshold_uncertainty_score":0.019330204},"labels":[],"label_agreement":null},{"id":"W4392487848","doi":"10.48550/arxiv.2403.01427","title":"Logit Standardization in Knowledge Distillation","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Canadian Institute for Advanced Research","keywords":"Standardization; Logit; Logistic regression; Distillation; Econometrics; Computer science; Economics; Mathematics; Statistics; Chemistry; Chromatography","score_opus":0.08365277220118163,"score_gpt":0.21020979088371863,"score_spread":0.126557018682537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392487848","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02329776,0.00053286296,0.9685361,0.00043890378,0.00008470615,0.00008570611,0.00022017103,0.0040078596,0.002796051],"genre_scores_gemma":[0.67970544,0.000500363,0.30616364,0.0005283607,0.00012779831,0.00031338836,0.0011621718,0.0007795086,0.010719312],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781716,0.0007473985,0.00012530894,0.0005585632,0.0005063584,0.00024529855],"domain_scores_gemma":[0.99781466,0.001092616,0.00015040606,0.00044684752,0.00040111956,0.000094362586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030071137,0.0013977967,0.0013861799,0.001309638,0.0008855994,0.0019597532,0.0022025167,0.0013665993,0.0066375462],"category_scores_gemma":[0.010946994,0.0005613945,0.0010520066,0.0016101159,0.0018807227,0.0047799177,0.004098907,0.0034917668,0.0021621583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007105359,0.00032757045,0.002718618,0.00033636173,0.00016622969,0.00014794421,0.0003613732,0.28371584,0.012021063,0.06833479,0.005712993,0.6254468],"study_design_scores_gemma":[0.000065412605,0.00012980755,0.00087465864,0.000040128107,0.000035647,0.00007580053,0.00009387543,0.89111364,0.018581666,0.08391902,0.0050033294,0.00006691773],"about_ca_topic_score_codex":0.0051834933,"about_ca_topic_score_gemma":0.006176208,"teacher_disagreement_score":0.0066375462,"about_ca_system_score_codex":0.0015350131,"about_ca_system_score_gemma":0.0023225138,"threshold_uncertainty_score":0.022204816},"labels":[],"label_agreement":null},{"id":"W4392637693","doi":"10.31234/osf.io/3d8m7","title":"The Properties of Personal Semantics","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Semantics (computer science); Computer science; Programming language; Business","score_opus":0.04138176871831315,"score_gpt":0.2508186198892362,"score_spread":0.20943685117092306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392637693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74644506,0.0023178055,0.17777465,0.0016743396,0.00015490095,0.00008918589,0.0010323653,0.000504748,0.07000691],"genre_scores_gemma":[0.9859147,0.0003752561,0.012151574,0.00010839818,0.000050677067,0.000028354478,0.00039113025,0.000059647347,0.0009202841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829847,0.00050640624,0.00019077156,0.0004927979,0.00037969137,0.00013185156],"domain_scores_gemma":[0.99139273,0.0041779527,0.0010777379,0.0024356295,0.00059124193,0.00032476144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018768965,0.0003292484,0.00034053338,0.0020404204,0.0008963857,0.002994558,0.0005823622,0.0006861414,0.0040119733],"category_scores_gemma":[0.015014303,0.00026447905,0.0005963012,0.0014928067,0.0037524626,0.010555528,0.0021019473,0.0007209205,0.00030449164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049284153,0.00014593676,0.049448416,0.0008208148,0.00030052423,0.0008839294,0.021153353,0.0028998354,0.020295465,0.60779256,0.0023952443,0.29337114],"study_design_scores_gemma":[0.000028661083,0.00013782691,0.03178313,0.00015567588,0.00013619429,0.0020945254,0.004369141,0.0043858318,0.0065059327,0.92708313,0.023256317,0.0000635692],"about_ca_topic_score_codex":0.0012512684,"about_ca_topic_score_gemma":0.00096375257,"teacher_disagreement_score":0.0040119733,"about_ca_system_score_codex":0.00062295265,"about_ca_system_score_gemma":0.000557334,"threshold_uncertainty_score":0.013421357},"labels":[],"label_agreement":null},{"id":"W4392756691","doi":"10.21203/rs.3.rs-3942341/v1","title":"Semantic Enrichment of Data through Knowledge Graph Generation","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Knowledge graph; Graph; Natural language processing; Data science; Information retrieval; Artificial intelligence; Theoretical computer science","score_opus":0.289889232663194,"score_gpt":0.4687631810540385,"score_spread":0.17887394839084453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392756691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01320153,0.0005148764,0.9468109,0.0013475136,0.00016989188,0.0004714419,0.011741112,0.019858798,0.005883874],"genre_scores_gemma":[0.087110706,0.0006419831,0.8786431,0.00040492768,0.000077039775,0.00039051037,0.028926669,0.00095396757,0.0028510266],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797374,0.0005795484,0.00017901666,0.00058845384,0.0005995109,0.00007973766],"domain_scores_gemma":[0.9937179,0.0033332673,0.00030697996,0.0014835404,0.0010253121,0.0001330043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017116144,0.0010412282,0.00062357425,0.007037706,0.0008809957,0.0022616573,0.0018532798,0.0008780416,0.0059022745],"category_scores_gemma":[0.01219411,0.00045370095,0.0017832001,0.005254837,0.0006698486,0.004252224,0.003030855,0.0014411996,0.0028348593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003373421,0.00036470647,0.0056030317,0.0014203879,0.00023284498,0.00097650324,0.0008975873,0.026370725,0.012123197,0.039162032,0.0574196,0.85509205],"study_design_scores_gemma":[0.00007776866,0.00014781194,0.0039788457,0.0006136453,0.00024099063,0.0007251197,0.00090182724,0.5606518,0.032956377,0.21013413,0.18944868,0.00012301227],"about_ca_topic_score_codex":0.006369519,"about_ca_topic_score_gemma":0.012307148,"teacher_disagreement_score":0.007037706,"about_ca_system_score_codex":0.0014152209,"about_ca_system_score_gemma":0.0019622834,"threshold_uncertainty_score":0.019745052},"labels":[],"label_agreement":null},{"id":"W4392943005","doi":"10.1109/icmla58977.2023.00167","title":"ConKGP: A Contrastive Learning Framework on Knowledge Graphs for Commonsense Reasoning with Perturbation","year":2023,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Commonsense reasoning; Computer science; Commonsense knowledge; Knowledge graph; Artificial intelligence; Natural language processing; Cognitive science; Knowledge representation and reasoning; Psychology","score_opus":0.025613672092656564,"score_gpt":0.28670959627431997,"score_spread":0.2610959241816634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392943005","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004849816,0.00023221932,0.990573,0.00023820873,0.00002900374,0.0000877618,0.00019723127,0.003021604,0.0007711672],"genre_scores_gemma":[0.33124003,0.00036906247,0.66098976,0.0009689357,0.00012503489,0.00042623395,0.0021430294,0.000638878,0.0030990364],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814284,0.00067666743,0.00009065374,0.0006210303,0.00036907883,0.00009967585],"domain_scores_gemma":[0.99679023,0.0020171741,0.00016927808,0.0005328641,0.00037398934,0.00011647001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025196008,0.0014337923,0.0011970601,0.0018785854,0.000767823,0.0013743129,0.0033365106,0.0021401094,0.003677321],"category_scores_gemma":[0.0099939015,0.00060658687,0.0015200474,0.0013592099,0.0016821648,0.004030075,0.0036168038,0.0035754119,0.0012351214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003562687,0.0003838206,0.001997346,0.00039619044,0.00017872245,0.00033341444,0.00046071917,0.33943737,0.011823605,0.05754484,0.012193034,0.5748946],"study_design_scores_gemma":[0.000018865418,0.00003299847,0.000117773554,0.0000111008185,0.000013674244,0.000038550064,0.00002163725,0.95289034,0.001988609,0.042985614,0.0018701439,0.0000106761945],"about_ca_topic_score_codex":0.0071732197,"about_ca_topic_score_gemma":0.009465082,"teacher_disagreement_score":0.0071732197,"about_ca_system_score_codex":0.0019505565,"about_ca_system_score_gemma":0.0017723638,"threshold_uncertainty_score":0.014262915},"labels":[],"label_agreement":null},{"id":"W4392989444","doi":"10.1007/978-3-031-24771-2_25","title":"A New Polyglot ArchiMate Hypermodel Extended to Graph Related Technologies","year":2024,"lang":"en","type":"book-chapter","venue":"Proceedings of the I-ESA Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Polyglot; Graph; Mathematics; Computer science; Discrete mathematics; Programming language","score_opus":0.022046716865366155,"score_gpt":0.22759828513686348,"score_spread":0.20555156827149731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392989444","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037992254,0.00019320057,0.96895695,0.0003671537,0.00014837633,0.00010203058,0.00095218973,0.003920067,0.021560824],"genre_scores_gemma":[0.12257576,0.0008983924,0.82210153,0.00055546773,0.00014542947,0.0004501727,0.004929977,0.0020502985,0.046293058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914706,0.0002434917,0.00008198631,0.00021110203,0.0002365523,0.00007984383],"domain_scores_gemma":[0.99914026,0.00019474281,0.000046849924,0.00036647488,0.00017288091,0.00007886087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008401477,0.00071583834,0.00057726225,0.0020136377,0.001025886,0.004295105,0.0015823148,0.0013341327,0.013037777],"category_scores_gemma":[0.0019795443,0.00061659596,0.0014699643,0.0026580545,0.0010056534,0.0063582147,0.0027095282,0.0024493772,0.0054718116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015577761,0.00017586452,0.0009801324,0.00019682411,0.00007388489,0.00046076442,0.0005122422,0.03763825,0.0048000324,0.80186546,0.016225548,0.13691522],"study_design_scores_gemma":[0.000041687483,0.000058381254,0.0002716015,0.00013337156,0.00008241709,0.0004125017,0.00014476685,0.28119457,0.0037686818,0.46360645,0.25022697,0.00005868262],"about_ca_topic_score_codex":0.008100206,"about_ca_topic_score_gemma":0.0126279155,"teacher_disagreement_score":0.013037777,"about_ca_system_score_codex":0.0010146265,"about_ca_system_score_gemma":0.0016413664,"threshold_uncertainty_score":0.0436157},"labels":[],"label_agreement":null},{"id":"W4393027458","doi":"10.48550/arxiv.2403.12646","title":"Prompt-fused framework for Inductive Logical Query Answering","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Ningbo; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; Institute for Catastrophic Loss Reduction","keywords":"Computer science; Question answering; Information retrieval; Query optimization","score_opus":0.14051624796774245,"score_gpt":0.22902422349405255,"score_spread":0.0885079755263101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393027458","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023613279,0.00017976845,0.9920386,0.0004367228,0.000031055053,0.00013077908,0.0004824837,0.0032635196,0.0010757261],"genre_scores_gemma":[0.13841775,0.00034310075,0.8558931,0.00046579845,0.00009527491,0.00035400578,0.0018778598,0.00038284308,0.002170253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99612385,0.0011866112,0.00029772244,0.0009276113,0.0012175519,0.00024666078],"domain_scores_gemma":[0.9955843,0.0023229693,0.00021307151,0.0010083757,0.00070748996,0.0001638666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041317623,0.0011729113,0.001243114,0.0023280957,0.00088148646,0.0027818985,0.0030742732,0.002003154,0.006041669],"category_scores_gemma":[0.012516881,0.00059985934,0.0021413644,0.0025689309,0.0017764983,0.008296678,0.004570789,0.0034524326,0.0017225591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005241351,0.00045874558,0.0022895986,0.0009133361,0.00013962059,0.000769141,0.0014536582,0.18922557,0.013636789,0.42277637,0.025371062,0.34244192],"study_design_scores_gemma":[0.000034345787,0.000064851905,0.00017832649,0.00003184459,0.000042571417,0.00017516677,0.00016876611,0.7483555,0.0038734225,0.23392677,0.013114983,0.00003337154],"about_ca_topic_score_codex":0.005059914,"about_ca_topic_score_gemma":0.009007982,"teacher_disagreement_score":0.006041669,"about_ca_system_score_codex":0.0020676395,"about_ca_system_score_gemma":0.002918027,"threshold_uncertainty_score":0.021851122},"labels":[],"label_agreement":null},{"id":"W4393067853","doi":"10.3233/sw-243623","title":"Special Issue on Semantic Web for Industrial Engineering: Research and Applications","year":2024,"lang":"en","type":"article","venue":"Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Semantic Web; Social Semantic Web; Computer science; World Wide Web; Semantic Web Stack; Semantic analytics; Data science","score_opus":0.07249083188037873,"score_gpt":0.3274862037792224,"score_spread":0.25499537189884364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393067853","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038900902,0.082680374,0.0037715968,0.04018025,0.81096905,0.00018579644,0.0005496875,0.00048598493,0.06078824],"genre_scores_gemma":[0.0019462357,0.0880834,0.0015925788,0.010969502,0.80645853,0.00015818806,0.001083142,0.00053929834,0.089169174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967789,0.00043401445,0.0004088139,0.00057472766,0.0015430065,0.00026052454],"domain_scores_gemma":[0.988741,0.0037069616,0.00075307034,0.00086246285,0.0037995446,0.0021369522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047928286,0.002616038,0.0033994187,0.0069383364,0.002247366,0.010857631,0.0031775937,0.007110194,0.08907176],"category_scores_gemma":[0.007869932,0.0008422907,0.0020092805,0.00565248,0.002212923,0.010071215,0.004561461,0.007913451,0.046639778],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033407323,0.000049664344,0.000092796894,0.0006372466,0.000023139319,0.00009136928,0.000034138753,0.00011682041,0.00032827223,0.0037875827,0.95194143,0.042864054],"study_design_scores_gemma":[0.000006856706,0.000019990504,0.00018141454,0.0003567088,0.000012140509,0.00013651758,0.00002301545,0.00013413306,0.0000944041,0.0025258393,0.9964998,0.0000090960475],"about_ca_topic_score_codex":0.001087187,"about_ca_topic_score_gemma":0.001829218,"teacher_disagreement_score":0.08907176,"about_ca_system_score_codex":0.0025176636,"about_ca_system_score_gemma":0.004021888,"threshold_uncertainty_score":0.2979747},"labels":[],"label_agreement":null},{"id":"W4393114534","doi":"10.35493/medu.44.26","title":"Sharing Science Made Simple: Exploring the Quality and Readability of Published Lay Summaries","year":2023,"lang":"en","type":"article","venue":"The Meducator","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Readability; Simple (philosophy); Quality (philosophy); Computer science; Data science; Information retrieval; Epistemology; Philosophy; Programming language","score_opus":0.14005435874674718,"score_gpt":0.3574331582709338,"score_spread":0.21737879952418662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393114534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9266325,0.009537206,0.03471234,0.0061451783,0.0007778475,0.00063416536,0.0033753437,0.00074191944,0.017443342],"genre_scores_gemma":[0.9673949,0.0034073167,0.024738943,0.000553381,0.00048119124,0.00041646688,0.0016527476,0.00014563839,0.0012093432],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.95299935,0.024262223,0.01077596,0.0014761812,0.0099903755,0.0004959548],"domain_scores_gemma":[0.47135994,0.34071332,0.101294935,0.020630784,0.061973684,0.0040274197],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.060735665,0.00039136162,0.00077537,0.014668788,0.0010303825,0.0057842373,0.0007747256,0.00069496216,0.002891013],"category_scores_gemma":[0.45001513,0.00029821764,0.00077506265,0.007830868,0.0012458942,0.0070219194,0.0038256322,0.0008771038,0.0005878396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001054804,0.00023184739,0.28300676,0.00790974,0.0010886503,0.00059627584,0.09690156,0.0021036642,0.005789583,0.004579841,0.012821174,0.5839162],"study_design_scores_gemma":[0.0001272823,0.0020433033,0.8016365,0.0065774308,0.00087120634,0.0017421104,0.061452433,0.0061482294,0.008030757,0.016840294,0.09403459,0.0004958752],"about_ca_topic_score_codex":0.0010013365,"about_ca_topic_score_gemma":0.0017975457,"teacher_disagreement_score":0.93926436,"about_ca_system_score_codex":0.0012987717,"about_ca_system_score_gemma":0.0019347739,"threshold_uncertainty_score":0.32120472},"labels":[],"label_agreement":null},{"id":"W4393156816","doi":"10.1609/aaai.v38i17.29892","title":"ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Atomic Energy of Canada Limited; Southeast University; National Natural Science Foundation of China; National Science Foundation","keywords":"Consistency (knowledge bases); Context (archaeology); Ontology; Computer science; Political science; History; Epistemology; Artificial intelligence; Philosophy","score_opus":0.06822964360212178,"score_gpt":0.2939055312923517,"score_spread":0.22567588769022992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393156816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013902876,0.00041051462,0.95777565,0.00019701742,0.00006651447,0.00021882505,0.00062305544,0.02472914,0.0020764475],"genre_scores_gemma":[0.183588,0.0003970315,0.80175394,0.00039802576,0.00006493958,0.00045847817,0.004510461,0.0015512676,0.007277912],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894494,0.00026368257,0.00008147219,0.00041255308,0.0002212539,0.000076097094],"domain_scores_gemma":[0.99798477,0.00083739357,0.00015114238,0.00055407296,0.0003274079,0.00014523692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017640374,0.0015198578,0.0010795057,0.001104627,0.0005897825,0.0012191847,0.0031547693,0.0013674593,0.007103784],"category_scores_gemma":[0.0066858428,0.00069173996,0.0012710104,0.000602398,0.0009748733,0.005196963,0.0043442477,0.0020429066,0.004528595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066046254,0.00039971876,0.0023367533,0.0011973548,0.0001596444,0.0012708271,0.0015562364,0.037430964,0.12164464,0.025621537,0.028249504,0.7794723],"study_design_scores_gemma":[0.00007580629,0.00044354872,0.0017093145,0.00010545871,0.00012968278,0.00093628414,0.0004947939,0.8377792,0.08621502,0.034836628,0.037116855,0.00015738377],"about_ca_topic_score_codex":0.0021072037,"about_ca_topic_score_gemma":0.004789222,"teacher_disagreement_score":0.007103784,"about_ca_system_score_codex":0.0005404769,"about_ca_system_score_gemma":0.000965084,"threshold_uncertainty_score":0.023764491},"labels":[],"label_agreement":null},{"id":"W4393159781","doi":"10.1609/aaai.v38i11.29115","title":"From Past to Future: Rethinking Eligibility Traces","year":2024,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"History; Political science","score_opus":0.07799602367208078,"score_gpt":0.32796272479604116,"score_spread":0.24996670112396038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393159781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074191175,0.0005387379,0.9163687,0.0024171975,0.00012269829,0.000150601,0.0003821193,0.0010388813,0.004789793],"genre_scores_gemma":[0.8553813,0.0003016457,0.14085816,0.00036270535,0.000052043135,0.00018092607,0.00032785124,0.00025927933,0.0022761542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99777645,0.00097268634,0.00016151147,0.0004779808,0.0004537092,0.00015773682],"domain_scores_gemma":[0.98494846,0.01096328,0.0009806107,0.0014920428,0.0010588227,0.0005567264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005579023,0.0006513151,0.001002234,0.0013094773,0.0009870083,0.003063188,0.0022652876,0.0015472008,0.0044040754],"category_scores_gemma":[0.05277132,0.00059925875,0.0005604273,0.0010626192,0.0017278477,0.008428226,0.002476405,0.0035942257,0.0005876379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040339405,0.00031351726,0.0142298,0.00034598325,0.00012269874,0.00042033996,0.0020615626,0.39511085,0.002931596,0.20766294,0.004485318,0.37191194],"study_design_scores_gemma":[0.00002376742,0.00006662039,0.00088718743,0.000101104015,0.000027095195,0.000057859495,0.00019742153,0.74175847,0.0021742263,0.25051838,0.004151335,0.00003654795],"about_ca_topic_score_codex":0.0071477215,"about_ca_topic_score_gemma":0.009136514,"teacher_disagreement_score":0.0071477215,"about_ca_system_score_codex":0.001641572,"about_ca_system_score_gemma":0.0029893736,"threshold_uncertainty_score":0.029505074},"labels":[],"label_agreement":null},{"id":"W4393424768","doi":"10.5281/zenodo.7916716","title":"Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Ontology; Computer science; Knowledge graph; Graph; Natural language processing; Information retrieval; Artificial intelligence; World Wide Web; Theoretical computer science; Philosophy; Geography; Cartography; Epistemology","score_opus":0.07387188460432378,"score_gpt":0.28338009468257,"score_spread":0.20950821007824624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393424768","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023986382,0.00325603,0.17897484,0.0035213402,0.0016910218,0.0031384076,0.40562707,0.3371593,0.042645577],"genre_scores_gemma":[0.02986537,0.00085944036,0.20327799,0.00080839964,0.00008413713,0.0017036918,0.7412088,0.01565454,0.0065377075],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99489707,0.0014934937,0.0006357568,0.0010778427,0.001627781,0.00026810417],"domain_scores_gemma":[0.9828279,0.011541131,0.0005302949,0.0020698956,0.0025015413,0.0005293236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036204488,0.0037293986,0.0010297073,0.0069024754,0.0012489205,0.003308079,0.0050485507,0.0031069666,0.043717586],"category_scores_gemma":[0.034193583,0.0010398444,0.0025611694,0.0059898556,0.0009526186,0.004927371,0.0037313234,0.0022584337,0.023251448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059284363,0.00055692875,0.0011829225,0.006559509,0.0003424284,0.00078817026,0.0005777735,0.023960393,0.0057976004,0.009856639,0.7644423,0.18534248],"study_design_scores_gemma":[0.0018419765,0.000561404,0.0030148218,0.0012127563,0.00024826932,0.0010250574,0.0015081529,0.34281176,0.032865558,0.049306545,0.5653668,0.00023692918],"about_ca_topic_score_codex":0.019027436,"about_ca_topic_score_gemma":0.022743072,"teacher_disagreement_score":0.043717586,"about_ca_system_score_codex":0.002716003,"about_ca_system_score_gemma":0.0032007121,"threshold_uncertainty_score":0.14624989},"labels":[],"label_agreement":null},{"id":"W4393648638","doi":"10.5281/zenodo.3957735","title":"Ontology files in .owl, rdf and xml format demonstrating the texts, documents and works (=entities) ontology","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; RDF; Ontology; OWL-S; XML; Information retrieval; World Wide Web; RDF Schema; SPARQL; Web Ontology Language; XML Schema Editor; Semantic Web; Semantic Web Stack","score_opus":0.02689627784214736,"score_gpt":0.24791820353835184,"score_spread":0.2210219256962045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393648638","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015092507,0.00004103072,0.00019382565,0.00008867369,0.000031724227,0.000022555847,0.9981127,0.00035639523,0.0010022245],"genre_scores_gemma":[0.00024309076,0.000038454,0.00049334095,0.000046032717,0.000003158755,0.00006777214,0.99867463,0.0000473785,0.00038617468],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848855,0.00020056577,0.00024034981,0.0003816738,0.00042448728,0.00026438554],"domain_scores_gemma":[0.9977851,0.00048737446,0.00024923112,0.0006173833,0.0005760531,0.00028487586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014580555,0.0026566074,0.0014587367,0.0054563344,0.0012384877,0.0027065652,0.003549877,0.0020961093,0.046326216],"category_scores_gemma":[0.0051810322,0.00096992846,0.0015614964,0.007963738,0.0006573823,0.0026437454,0.002994141,0.0031029356,0.07382945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049851253,0.0000341092,0.00058525364,0.00053504395,0.000023234314,0.0000377504,0.00003874955,0.00023683229,0.00015038034,0.001309629,0.9947331,0.0022661402],"study_design_scores_gemma":[0.00013434853,0.000011378935,0.0027126512,0.0002357063,0.00001882532,0.00012164588,0.00018282923,0.00039347168,0.00044664982,0.0023233157,0.99338865,0.000030516234],"about_ca_topic_score_codex":0.035518743,"about_ca_topic_score_gemma":0.07024441,"teacher_disagreement_score":0.046326216,"about_ca_system_score_codex":0.0026060592,"about_ca_system_score_gemma":0.003405885,"threshold_uncertainty_score":0.15497667},"labels":[],"label_agreement":null},{"id":"W4393705943","doi":"10.5281/zenodo.4673452","title":"Ecore Metamodels and EcoreBERT Pre-trained Language Model","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence; Linguistics; Philosophy","score_opus":0.03442950589924665,"score_gpt":0.26150376024832556,"score_spread":0.2270742543490789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393705943","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009811425,0.00069119304,0.0035597763,0.00041443197,0.00020816969,0.000225699,0.96850395,0.011585345,0.004999914],"genre_scores_gemma":[0.0052174754,0.00010445479,0.0034229376,0.00012458101,0.000008291333,0.00019711326,0.9893517,0.00022254381,0.0013508814],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986659,0.0003324365,0.00013374156,0.00038335854,0.00032711218,0.00015740987],"domain_scores_gemma":[0.99824476,0.0005462336,0.00008956462,0.00061144296,0.00040000633,0.00010795007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013395018,0.0035727287,0.0009842245,0.0028097339,0.00073960784,0.0015426449,0.0034655803,0.0028694568,0.016150327],"category_scores_gemma":[0.005203137,0.0005981381,0.0023300324,0.0025940828,0.0005741007,0.0019296769,0.0016151582,0.002706856,0.029206267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041642194,0.00047598346,0.0038799082,0.0015291348,0.00018204276,0.0003132649,0.00009670588,0.008845688,0.0015858975,0.0022891155,0.95076317,0.029622655],"study_design_scores_gemma":[0.0007349292,0.00031592732,0.0106656905,0.0005110553,0.00017532145,0.00092177175,0.00046651548,0.053033177,0.00804068,0.006123266,0.91883045,0.00018115847],"about_ca_topic_score_codex":0.026708322,"about_ca_topic_score_gemma":0.06495227,"teacher_disagreement_score":0.026708322,"about_ca_system_score_codex":0.002274075,"about_ca_system_score_gemma":0.0019852596,"threshold_uncertainty_score":0.054028213},"labels":[],"label_agreement":null},{"id":"W4393713301","doi":"10.5281/zenodo.3957736","title":"Ontology files in .owl, rdf and xml format demonstrating the texts, documents and works (=entities) ontology","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"RDF; Ontology; Computer science; XML; Information retrieval; OWL-S; Web Ontology Language; RDF Schema; SPARQL; World Wide Web; Semantic Web; Semantic Web Stack","score_opus":0.02689627784214736,"score_gpt":0.24791820353835184,"score_spread":0.2210219256962045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393713301","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034884343,0.000055184835,0.00031012844,0.000093887065,0.000037975577,0.000030612693,0.9970657,0.00047279787,0.0015847767],"genre_scores_gemma":[0.00046883992,0.000054092518,0.0007611413,0.000050366958,0.0000040969157,0.00008828117,0.99793386,0.0000655749,0.00057385064],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987532,0.00016180561,0.00019040686,0.00030942864,0.00037057002,0.00021471424],"domain_scores_gemma":[0.9981346,0.00042186416,0.00020534622,0.0005504206,0.00047579335,0.00021182318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012885665,0.002114869,0.0011874038,0.005438932,0.00093995366,0.0021243435,0.0023385934,0.0015642972,0.032038525],"category_scores_gemma":[0.004409743,0.0007134376,0.001195573,0.007155071,0.0005992616,0.0021516257,0.0024563288,0.0023462689,0.05292876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007777557,0.00004713176,0.0010149155,0.0007477026,0.00002841161,0.000047198242,0.00006495312,0.00034190522,0.00033834967,0.0019529165,0.9909009,0.0044378964],"study_design_scores_gemma":[0.00007995138,0.000011923149,0.003785577,0.00020508877,0.000015606669,0.000109091794,0.00022122893,0.00038540387,0.00066680566,0.0021151328,0.9923805,0.000023701456],"about_ca_topic_score_codex":0.027805038,"about_ca_topic_score_gemma":0.0565827,"teacher_disagreement_score":0.032038525,"about_ca_system_score_codex":0.0020551807,"about_ca_system_score_gemma":0.002522829,"threshold_uncertainty_score":0.10717958},"labels":[],"label_agreement":null},{"id":"W4393718594","doi":"10.5281/zenodo.3474006","title":"Data From: The Future of OA: A large-scale analysis projecting Open Access publication and readership","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"OpenAlex","funders":"","keywords":"Audience measurement; Scale (ratio); Library science; World Wide Web; Geography; Computer science; Data science; Advertising; Cartography; Business","score_opus":0.18533496119032944,"score_gpt":0.3610828594639444,"score_spread":0.17574789827361498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393718594","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14473444,0.001685829,0.0059582726,0.00941464,0.0003399138,0.00024140524,0.8165323,0.0023195434,0.01877362],"genre_scores_gemma":[0.424948,0.0020056379,0.0112183,0.0010026458,0.00042616,0.0008099955,0.5403054,0.0010065705,0.018277247],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9943078,0.0012020634,0.00059288536,0.00085985055,0.0026415265,0.00039577333],"domain_scores_gemma":[0.93445814,0.028488815,0.015362299,0.0064905914,0.012348558,0.0028515942],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.005933434,0.000582123,0.0006285767,0.005571431,0.0005904582,0.005464714,0.0013203991,0.0010102999,0.01837755],"category_scores_gemma":[0.049899213,0.000484133,0.0019323713,0.015896998,0.0005785457,0.005001297,0.0024611813,0.0018263377,0.014147744],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007068275,0.00028208338,0.44797802,0.0016551521,0.00091898453,0.00031368597,0.0015945823,0.017170774,0.0008326668,0.012693475,0.45243198,0.063421816],"study_design_scores_gemma":[0.00016250207,0.00042719016,0.59419006,0.00065810763,0.0003343972,0.0003268441,0.003359476,0.030522598,0.0015001483,0.007960329,0.36027205,0.0002862401],"about_ca_topic_score_codex":0.028806815,"about_ca_topic_score_gemma":0.02329565,"teacher_disagreement_score":0.9986796,"about_ca_system_score_codex":0.002299874,"about_ca_system_score_gemma":0.0020875013,"threshold_uncertainty_score":0.061479032},"labels":[],"label_agreement":null},{"id":"W4393723246","doi":"10.5281/zenodo.4571049","title":"SLAC Dataset","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Marianopolis College","funders":"","keywords":"Computer science","score_opus":0.04795969308315261,"score_gpt":0.2685135800219228,"score_spread":0.2205538869387702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393723246","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016001,0.0007628988,0.0008215964,0.00047690887,0.00032992402,0.0002090952,0.9838847,0.0043499144,0.0075647514],"genre_scores_gemma":[0.0010289934,0.00011587712,0.0012375624,0.0001617491,0.000024289026,0.00015243022,0.9958682,0.00012472105,0.0012862282],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99657226,0.00054249616,0.0003698338,0.0009072408,0.0010968379,0.00051132066],"domain_scores_gemma":[0.9965507,0.0006323122,0.00015834044,0.000917475,0.0014305065,0.0003106995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020357787,0.0039871866,0.0022527955,0.006129421,0.002448371,0.0034558875,0.006121751,0.0041058604,0.08197751],"category_scores_gemma":[0.008526616,0.00061579375,0.0027241898,0.0069150934,0.00067678577,0.003545993,0.003432594,0.0033547047,0.12660858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010985232,0.0000934268,0.0005505273,0.00047535088,0.000037836035,0.000060718656,0.0000192252,0.0005554209,0.00021793472,0.0005261207,0.9866898,0.010663888],"study_design_scores_gemma":[0.00035474615,0.00011946364,0.0033778427,0.00041677113,0.00005657321,0.00024782,0.00030100797,0.005722572,0.0009402262,0.0026747552,0.9857027,0.000085566],"about_ca_topic_score_codex":0.04228036,"about_ca_topic_score_gemma":0.07604497,"teacher_disagreement_score":0.08197751,"about_ca_system_score_codex":0.0028058966,"about_ca_system_score_gemma":0.0037626135,"threshold_uncertainty_score":0.2742421},"labels":[],"label_agreement":null},{"id":"W4393783423","doi":"10.5281/zenodo.4031691","title":"Supplemental Material for Paper 'Taxonomy Extraction Using Knowledge Graph Embeddings and Hierarchical Clustering'","year":2020,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cluster analysis; Taxonomy (biology); Hierarchical clustering; Computer science; Graph; Information retrieval; Data mining; Artificial intelligence; Biology; Theoretical computer science; Ecology","score_opus":0.025806197988109996,"score_gpt":0.2758470520028876,"score_spread":0.2500408540147776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393783423","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015522884,0.000037817175,0.00022856235,0.0000567209,0.000048019418,0.00003373392,0.99725515,0.0007050738,0.0014796843],"genre_scores_gemma":[0.00026933686,0.000019879424,0.0008351994,0.00004317765,0.000004780709,0.000092119946,0.9978961,0.00007575442,0.0007636794],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998591,0.0002059743,0.00017016176,0.00036836002,0.0004373607,0.00022712642],"domain_scores_gemma":[0.99557436,0.0013424188,0.00027742298,0.0011177652,0.0012848147,0.00040314332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013739092,0.0028142422,0.0013120358,0.0050647035,0.0013050411,0.0027481748,0.0031559498,0.0025182061,0.20578714],"category_scores_gemma":[0.008172134,0.000784235,0.0012498427,0.0059549403,0.00055228046,0.0020514014,0.0027060749,0.002181373,0.18670446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025437892,0.00003610347,0.0002999494,0.00031269022,0.000011532366,0.0000121759595,0.000011164086,0.000104692466,0.00007762245,0.00031997633,0.99652207,0.0022665015],"study_design_scores_gemma":[0.00018563283,0.000021841926,0.0039505973,0.0002599339,0.00002143318,0.000113495866,0.00013176879,0.000910455,0.0006453065,0.0027628397,0.99096584,0.000031012896],"about_ca_topic_score_codex":0.03210676,"about_ca_topic_score_gemma":0.12041384,"teacher_disagreement_score":0.20578714,"about_ca_system_score_codex":0.0025402724,"about_ca_system_score_gemma":0.0026200165,"threshold_uncertainty_score":0.68842655},"labels":[],"label_agreement":null},{"id":"W4393842226","doi":"10.5281/zenodo.7916715","title":"Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Ontology; Computer science; Knowledge graph; Graph; Information retrieval; Artificial intelligence; Natural language processing; Theoretical computer science; Philosophy; Geography; Cartography; Epistemology","score_opus":0.07387188460432378,"score_gpt":0.28338009468257,"score_spread":0.20950821007824624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393842226","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023986382,0.00325603,0.17897484,0.0035213402,0.0016910218,0.0031384076,0.40562707,0.3371593,0.042645577],"genre_scores_gemma":[0.02986537,0.00085944036,0.20327799,0.00080839964,0.00008413713,0.0017036918,0.7412088,0.01565454,0.0065377075],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99489707,0.0014934937,0.0006357568,0.0010778427,0.001627781,0.00026810417],"domain_scores_gemma":[0.9828279,0.011541131,0.0005302949,0.0020698956,0.0025015413,0.0005293236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036204488,0.0037293986,0.0010297073,0.0069024754,0.0012489205,0.003308079,0.0050485507,0.0031069666,0.043717586],"category_scores_gemma":[0.034193583,0.0010398444,0.0025611694,0.0059898556,0.0009526186,0.004927371,0.0037313234,0.0022584337,0.023251448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059284363,0.00055692875,0.0011829225,0.006559509,0.0003424284,0.00078817026,0.0005777735,0.023960393,0.0057976004,0.009856639,0.7644423,0.18534248],"study_design_scores_gemma":[0.0018419765,0.000561404,0.0030148218,0.0012127563,0.00024826932,0.0010250574,0.0015081529,0.34281176,0.032865558,0.049306545,0.5653668,0.00023692918],"about_ca_topic_score_codex":0.019027436,"about_ca_topic_score_gemma":0.022743072,"teacher_disagreement_score":0.043717586,"about_ca_system_score_codex":0.002716003,"about_ca_system_score_gemma":0.0032007121,"threshold_uncertainty_score":0.14624989},"labels":[],"label_agreement":null},{"id":"W4393844090","doi":"10.5281/zenodo.5546387","title":"Wikidata5m - knowledge graph (inductive)","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Computer science; Graph; Theoretical computer science","score_opus":0.060769042138407475,"score_gpt":0.2785871385705845,"score_spread":0.217818096432177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393844090","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022397947,0.00018700626,0.0009628553,0.00015642283,0.00006459855,0.00007954636,0.9895515,0.0033252689,0.0034330334],"genre_scores_gemma":[0.0013032012,0.000042793206,0.0015471647,0.00003732454,0.0000046878163,0.00007733109,0.99623674,0.00009987279,0.0006508007],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987078,0.00018620824,0.00010909214,0.00046848765,0.0003614495,0.00016696853],"domain_scores_gemma":[0.99811244,0.0004540215,0.0001624744,0.0005712727,0.00047490155,0.00022492162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008530348,0.002967536,0.0011355041,0.005288609,0.0014324589,0.00223356,0.003881061,0.0027718565,0.021847965],"category_scores_gemma":[0.004948448,0.0008387367,0.0016346782,0.0059167906,0.00066648476,0.002396505,0.0024021673,0.0026056627,0.03255978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011791664,0.0001367553,0.0015533997,0.000873844,0.00007072654,0.000094729345,0.00006936035,0.00127704,0.0005454589,0.001913102,0.9843797,0.008967905],"study_design_scores_gemma":[0.00045023748,0.00008832502,0.0076247747,0.00035537625,0.00011196805,0.00039992662,0.00032192582,0.008823699,0.0033058564,0.006737788,0.9716996,0.00008050341],"about_ca_topic_score_codex":0.036880102,"about_ca_topic_score_gemma":0.08172466,"teacher_disagreement_score":0.036880102,"about_ca_system_score_codex":0.0020170778,"about_ca_system_score_gemma":0.0026094986,"threshold_uncertainty_score":0.07333088},"labels":[],"label_agreement":null},{"id":"W4393876909","doi":"10.5281/zenodo.8145095","title":"Graph Positional and Structural Encodings (model weights and precomputed encodings)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Graph; Computer science; Theoretical computer science; Combinatorics; Mathematics","score_opus":0.03131566920814596,"score_gpt":0.24918510474198335,"score_spread":0.2178694355338374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393876909","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062151784,0.00044355143,0.002806117,0.00032657557,0.0001624948,0.000095347576,0.9792309,0.00799908,0.0027207094],"genre_scores_gemma":[0.0060536256,0.00012925136,0.003448094,0.00008716151,0.000008693483,0.00012267093,0.9886968,0.00024924573,0.0012043975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907684,0.00013159896,0.0000578721,0.0004049063,0.00021791477,0.00011081447],"domain_scores_gemma":[0.99843043,0.00047129256,0.00007693654,0.0006026521,0.00035363212,0.000065128894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067638635,0.003843818,0.0011120178,0.002792257,0.00076264987,0.0015320947,0.0030335404,0.0029879299,0.019857857],"category_scores_gemma":[0.0047823386,0.0008367474,0.0024245463,0.004266196,0.0008200797,0.001585503,0.0010163704,0.0030458318,0.021939458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031147385,0.00023380698,0.0026051644,0.0014729942,0.00017067228,0.0001202725,0.000047641493,0.016189817,0.0016614354,0.0020442086,0.9507665,0.024376128],"study_design_scores_gemma":[0.0016195244,0.0002468532,0.014982418,0.0006515405,0.00040867002,0.0004997055,0.00032202562,0.10094865,0.014283628,0.019833682,0.84600234,0.00020107589],"about_ca_topic_score_codex":0.056505598,"about_ca_topic_score_gemma":0.119203664,"teacher_disagreement_score":0.056505598,"about_ca_system_score_codex":0.0026945279,"about_ca_system_score_gemma":0.0024044837,"threshold_uncertainty_score":0.112353384},"labels":[],"label_agreement":null},{"id":"W4394046678","doi":"10.5281/zenodo.5587080","title":"Ontology files in .owl, rdf and xml format demonstrating the texts, documents and works (=entities) ontology","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; RDF; Ontology; OWL-S; XML; RDF Schema; Web Ontology Language; Information retrieval; SPARQL; World Wide Web; Semantic Web; Semantic Web Stack","score_opus":0.02689627784214736,"score_gpt":0.24791820353835184,"score_spread":0.2210219256962045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394046678","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015092507,0.00004103072,0.00019382565,0.00008867369,0.000031724227,0.000022555847,0.9981127,0.00035639523,0.0010022245],"genre_scores_gemma":[0.00024309076,0.000038454,0.00049334095,0.000046032717,0.000003158755,0.00006777214,0.99867463,0.0000473785,0.00038617468],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848855,0.00020056577,0.00024034981,0.0003816738,0.00042448728,0.00026438554],"domain_scores_gemma":[0.9977851,0.00048737446,0.00024923112,0.0006173833,0.0005760531,0.00028487586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014580555,0.0026566074,0.0014587367,0.0054563344,0.0012384877,0.0027065652,0.003549877,0.0020961093,0.046326216],"category_scores_gemma":[0.0051810322,0.00096992846,0.0015614964,0.007963738,0.0006573823,0.0026437454,0.002994141,0.0031029356,0.07382945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049851253,0.0000341092,0.00058525364,0.00053504395,0.000023234314,0.0000377504,0.00003874955,0.00023683229,0.00015038034,0.001309629,0.9947331,0.0022661402],"study_design_scores_gemma":[0.00013434853,0.000011378935,0.0027126512,0.0002357063,0.00001882532,0.00012164588,0.00018282923,0.00039347168,0.00044664982,0.0023233157,0.99338865,0.000030516234],"about_ca_topic_score_codex":0.035518743,"about_ca_topic_score_gemma":0.07024441,"teacher_disagreement_score":0.046326216,"about_ca_system_score_codex":0.0026060592,"about_ca_system_score_gemma":0.003405885,"threshold_uncertainty_score":0.15497667},"labels":[],"label_agreement":null},{"id":"W4394048558","doi":"10.5281/zenodo.4031692","title":"Supplemental Material for Paper 'Taxonomy Extraction Using Knowledge Graph Embeddings and Hierarchical Clustering'","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cluster analysis; Computer science; Hierarchical clustering; Taxonomy (biology); Knowledge graph; Data mining; Information retrieval; Graph; Knowledge extraction; Artificial intelligence; Theoretical computer science; Biology; Ecology","score_opus":0.06037724805516045,"score_gpt":0.2877602265953038,"score_spread":0.22738297854014336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394048558","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016434687,0.000040464274,0.00025188405,0.00005459971,0.000049666927,0.000032851356,0.9971738,0.0008036656,0.0014286244],"genre_scores_gemma":[0.0002895223,0.000020983009,0.0009032822,0.000041933516,0.000004860684,0.00009283345,0.9978163,0.00008235363,0.00074783555],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987134,0.00018603426,0.00015704831,0.0003423228,0.00039465906,0.00020660926],"domain_scores_gemma":[0.9960426,0.0012591353,0.00024753044,0.001023258,0.0010795282,0.00034786403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013315876,0.0027904264,0.0013136419,0.004823835,0.0012070823,0.0027346094,0.0030000643,0.0024691864,0.21241853],"category_scores_gemma":[0.007482617,0.0007718458,0.0012044384,0.0055694683,0.00052932656,0.0019926603,0.0025341818,0.0021408072,0.18940437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029264005,0.000040117735,0.00028762143,0.00035004746,0.000013210261,0.00001338011,0.000011693825,0.00012403958,0.000095608426,0.00035604357,0.99620545,0.0024735178],"study_design_scores_gemma":[0.00019976923,0.000023009912,0.003782689,0.0002656782,0.000023238203,0.0001221004,0.00012734365,0.0010227321,0.00072805054,0.0031670935,0.9905059,0.000032423475],"about_ca_topic_score_codex":0.02402967,"about_ca_topic_score_gemma":0.09024147,"teacher_disagreement_score":0.21241853,"about_ca_system_score_codex":0.0023071538,"about_ca_system_score_gemma":0.0023482542,"threshold_uncertainty_score":0.71061075},"labels":[],"label_agreement":null},{"id":"W4394556539","doi":"10.6084/m9.figshare.20175835","title":"Additional file 1 of Integration and publication of heterogeneous text-mined relationships on the Semantic Web","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"World Wide Web; Computer science; Information retrieval; Social Semantic Web; Semantic Web","score_opus":0.05844032731749274,"score_gpt":0.24376573442816568,"score_spread":0.18532540711067294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394556539","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005104796,0.000008167041,0.00004657496,0.000022872293,0.000010289577,0.000015750451,0.99948126,0.00015358963,0.0002104242],"genre_scores_gemma":[0.00029779793,0.00001779696,0.0004306996,0.000042262396,0.000005997828,0.00014447102,0.9985815,0.00007981431,0.00039963122],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983016,0.00020222132,0.0003003876,0.0005476337,0.00041298295,0.00023517084],"domain_scores_gemma":[0.99227154,0.0038243288,0.00065682374,0.0012409468,0.0014823024,0.00052408146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019129643,0.002319867,0.0018012064,0.0046997303,0.0013334943,0.003034103,0.002990711,0.0023806342,0.38016605],"category_scores_gemma":[0.013173957,0.00091221643,0.0018309176,0.007305226,0.0006986567,0.002316705,0.0020508461,0.0017731949,0.15875372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012437471,0.000055512206,0.0010442936,0.00151815,0.00003991936,0.000051883297,0.000034936962,0.00030342056,0.00018221395,0.00046184554,0.9938788,0.0023046185],"study_design_scores_gemma":[0.0014393362,0.000089960915,0.007940174,0.0010559723,0.00011800355,0.00028152668,0.00027265042,0.0011227729,0.0016652448,0.0033182963,0.98260283,0.000093207665],"about_ca_topic_score_codex":0.017138949,"about_ca_topic_score_gemma":0.030534793,"teacher_disagreement_score":0.38016605,"about_ca_system_score_codex":0.0022549005,"about_ca_system_score_gemma":0.0031936227,"threshold_uncertainty_score":0.8841179},"labels":[],"label_agreement":null},{"id":"W4394597738","doi":"10.1109/wacv57701.2024.00104","title":"Framework-agnostic Semantically-aware Global Reasoning for Segmentation","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; Canadian Institute for Advanced Research; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; Canadian Institute for Advanced Research; Vector Institute; Compute Canada; Government of Canada","keywords":"Computer science; Segmentation; Artificial intelligence; Information retrieval; Natural language processing","score_opus":0.02264637164427088,"score_gpt":0.3239686427315151,"score_spread":0.30132227108724424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394597738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014373407,0.00026376854,0.9716413,0.00016749927,0.000035972364,0.000085916705,0.00042926802,0.0112720365,0.0017307447],"genre_scores_gemma":[0.3896042,0.00033994197,0.6026628,0.00033764023,0.000039586128,0.000099176716,0.0028169765,0.0008601213,0.0032395462],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999376,0.00008712198,0.000031934233,0.00024531278,0.0001710098,0.00008869267],"domain_scores_gemma":[0.9993824,0.00015955041,0.000051884163,0.00024650738,0.000110261106,0.000049331666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011931435,0.0011766041,0.0008694076,0.0010631011,0.00043153914,0.0014586229,0.0026543443,0.0012107256,0.0038869681],"category_scores_gemma":[0.0023000785,0.00052585243,0.0017070303,0.00088248483,0.0010850152,0.0038888773,0.002089494,0.0021036551,0.0015380043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004400115,0.00033145933,0.0024905584,0.00041765385,0.00023767442,0.00031839465,0.000468619,0.23734108,0.073913015,0.0419717,0.01228194,0.62978786],"study_design_scores_gemma":[0.000019224748,0.00005969762,0.00043182174,0.00001981181,0.000058013473,0.000085656146,0.000059076843,0.9362344,0.020349184,0.0390681,0.00359689,0.00001816994],"about_ca_topic_score_codex":0.008079009,"about_ca_topic_score_gemma":0.016899126,"teacher_disagreement_score":0.008079009,"about_ca_system_score_codex":0.0015396475,"about_ca_system_score_gemma":0.001852093,"threshold_uncertainty_score":0.016063988},"labels":[],"label_agreement":null},{"id":"W4394849144","doi":"10.1007/s10270-023-01147-9","title":"Empirically evaluating modeling language ontologies: the Peira framework","year":2024,"lang":"en","type":"article","venue":"Software & Systems Modeling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Modeling language; Software engineering; Programming language; Natural language processing; Data science; Knowledge management; Software","score_opus":0.08206135092399472,"score_gpt":0.3575813258738234,"score_spread":0.2755199749498287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394849144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5258041,0.0020706125,0.42516646,0.0053813863,0.00010067174,0.0011059323,0.000685257,0.00053931796,0.039146286],"genre_scores_gemma":[0.878136,0.00022372695,0.12004686,0.00024215627,0.000029507142,0.00035754874,0.00036667465,0.00006318524,0.0005343285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9351506,0.05431989,0.0017402458,0.0028432312,0.0050138123,0.0009320995],"domain_scores_gemma":[0.6731023,0.29643688,0.0071182535,0.015229973,0.0065691313,0.0015434942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05391918,0.00164104,0.002067411,0.0073658084,0.00216022,0.0069199777,0.0032774594,0.0031176927,0.004764927],"category_scores_gemma":[0.3034789,0.00095835427,0.0019487685,0.0044905306,0.006007321,0.01651197,0.008214707,0.003738607,0.00046487746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018580706,0.00417674,0.08050027,0.001751042,0.0020992113,0.0004511223,0.004369657,0.14708322,0.0020089124,0.49491295,0.00424973,0.2565391],"study_design_scores_gemma":[0.00035923682,0.00083231804,0.008760174,0.00034370171,0.00089648925,0.00020273046,0.0031556254,0.47404718,0.0019700676,0.5053012,0.0040524025,0.00007895111],"about_ca_topic_score_codex":0.004653542,"about_ca_topic_score_gemma":0.006919706,"teacher_disagreement_score":0.05391918,"about_ca_system_score_codex":0.003374309,"about_ca_system_score_gemma":0.0051961346,"threshold_uncertainty_score":0.2851553},"labels":[],"label_agreement":null},{"id":"W4395077557","doi":"10.18280/ria.380219","title":"OntoCin: A Multimedia Ontology for the Semantic Indexation of Cinematographic Resources on the Web of Data","year":2024,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Indexation; Computer science; Ontology; Semantic Web; Information retrieval; World Wide Web; Multimedia","score_opus":0.14398908301074234,"score_gpt":0.3323531700582836,"score_spread":0.18836408704754123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395077557","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009212132,0.0013836897,0.94096154,0.0018765407,0.00046599004,0.0013106939,0.011872801,0.006959892,0.025956823],"genre_scores_gemma":[0.109257184,0.0038175082,0.8338496,0.0011705223,0.0002350116,0.0017738922,0.03422708,0.001860458,0.013808704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739933,0.0005080067,0.00058982545,0.0004633869,0.00084929034,0.00019018685],"domain_scores_gemma":[0.9977112,0.0006406415,0.00022742873,0.00066355895,0.0005015292,0.00025560355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002552841,0.00076658087,0.0008393128,0.008454105,0.0023422039,0.005954921,0.0017545911,0.0017082171,0.003980602],"category_scores_gemma":[0.0062626754,0.00068771973,0.0017202998,0.0073530343,0.0022230388,0.012329247,0.0054018456,0.0025067853,0.0016054644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001950535,0.00028445854,0.0030258587,0.0020415902,0.00019270956,0.0015757015,0.005707795,0.0047354745,0.014016909,0.6711133,0.042981114,0.2541299],"study_design_scores_gemma":[0.000034410736,0.00004175342,0.0019417895,0.0007032454,0.00012079702,0.0012328789,0.0018048587,0.021902718,0.0059691207,0.122015014,0.84412324,0.00011026715],"about_ca_topic_score_codex":0.018531749,"about_ca_topic_score_gemma":0.019780526,"teacher_disagreement_score":0.018531749,"about_ca_system_score_codex":0.0027789078,"about_ca_system_score_gemma":0.004838473,"threshold_uncertainty_score":0.03684777},"labels":[],"label_agreement":null},{"id":"W4396552551","doi":"10.7250/csimq.2024-38.02","title":"Enable Flexibilisation in FAIRWork’s Democratic AI-based Decision Support System by Applying Conceptual Models Using ADOxx","year":2024,"lang":"en","type":"article","venue":"Complex Systems Informatics and Modeling Quarterly","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Aging","funders":"HORIZON EUROPE Framework Programme; European Commission","keywords":"Decision support system; Decision engineering; Intelligent decision support system; Computer science; Flexibility (engineering); Scope (computer science); R-CAST; Business decision mapping; Decision analysis; Evidential reasoning approach; Management science; Artificial intelligence; Knowledge management; Engineering","score_opus":0.0720279477900168,"score_gpt":0.28907928146746875,"score_spread":0.21705133367745194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396552551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024241747,0.00010468807,0.95908463,0.0014070523,0.000088221546,0.00026385,0.00023122523,0.0030966813,0.011482007],"genre_scores_gemma":[0.26132667,0.00019528827,0.7262705,0.0004436692,0.000043478234,0.00037186657,0.0007344065,0.00036137685,0.01025277],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754095,0.0010704587,0.00022961506,0.00040287265,0.0005669154,0.00018921982],"domain_scores_gemma":[0.99714285,0.001455047,0.00016496706,0.0006997496,0.00033134912,0.00020599282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006064606,0.000600217,0.00046089228,0.0011541328,0.0013544158,0.0060679927,0.001624854,0.0015201682,0.006247367],"category_scores_gemma":[0.00897734,0.00051642634,0.0011513206,0.0007453905,0.0018902159,0.005692907,0.0048123095,0.0023730553,0.0011541772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040053774,0.000704521,0.0036463398,0.00028126553,0.000107764274,0.00083280326,0.0065140803,0.13612273,0.010678038,0.6265851,0.00856094,0.20556597],"study_design_scores_gemma":[0.00008344177,0.0000910358,0.00035098314,0.00014183178,0.000041837047,0.0001630661,0.0005248032,0.6076583,0.009275495,0.30005947,0.081553884,0.000055814206],"about_ca_topic_score_codex":0.0047050286,"about_ca_topic_score_gemma":0.0061008544,"teacher_disagreement_score":0.006247367,"about_ca_system_score_codex":0.0018479942,"about_ca_system_score_gemma":0.0031576166,"threshold_uncertainty_score":0.03207308},"labels":[],"label_agreement":null},{"id":"W4396658895","doi":"10.1007/s10791-024-09436-7","title":"Bcubed revisited: elements like me","year":2024,"lang":"en","type":"article","venue":"Discover Computing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam; Canadian Institute of Steel Construction","keywords":"Geology","score_opus":0.01675289836194439,"score_gpt":0.27854532503559126,"score_spread":0.2617924266736469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396658895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3994796,0.0031891542,0.55351514,0.0068522943,0.0007041276,0.00029014342,0.0026180695,0.0066122226,0.026739297],"genre_scores_gemma":[0.8565072,0.00017424335,0.13622029,0.00083979656,0.00011297302,0.00012312958,0.001650245,0.00062449847,0.0037476695],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98877895,0.0049903663,0.00063310785,0.0020299042,0.0030015344,0.0005661902],"domain_scores_gemma":[0.9594213,0.020611793,0.0022700944,0.01109463,0.0051597795,0.0014424989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011277844,0.0011007693,0.0017101421,0.0034694094,0.0027072087,0.0042033633,0.0028912602,0.003022633,0.005058335],"category_scores_gemma":[0.060245544,0.0005568364,0.00087534095,0.0035558227,0.0039417506,0.00528969,0.004791089,0.002779887,0.0016624761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002803924,0.00034520132,0.054099124,0.0009688781,0.0006757489,0.00054255035,0.0020043806,0.20385337,0.0113375215,0.18816495,0.05864587,0.4765585],"study_design_scores_gemma":[0.00011755455,0.0006636808,0.011348698,0.00020471301,0.00007629677,0.0012681758,0.00112474,0.701074,0.01788937,0.23939069,0.026654784,0.00018725154],"about_ca_topic_score_codex":0.006093795,"about_ca_topic_score_gemma":0.009191058,"teacher_disagreement_score":0.011277844,"about_ca_system_score_codex":0.0031113045,"about_ca_system_score_gemma":0.0015815821,"threshold_uncertainty_score":0.059643626},"labels":[],"label_agreement":null},{"id":"W4396721893","doi":"10.1039/d4sc00966e","title":"nach0: multimodal natural and chemical languages foundation model","year":2024,"lang":"en","type":"article","venue":"Chemical Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Foundation (evidence); Natural (archaeology); Computer science; Artificial intelligence; Natural language processing; Geography; Archaeology","score_opus":0.012378142440752506,"score_gpt":0.2880965065878941,"score_spread":0.27571836414714157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396721893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033804376,0.0006919176,0.9139239,0.0011253118,0.00018686659,0.00024959052,0.009940289,0.026987236,0.013090361],"genre_scores_gemma":[0.52651453,0.00070669304,0.42199212,0.0009128027,0.00013362974,0.0010803546,0.027312445,0.0017757759,0.019571673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977714,0.000054943568,0.000012659371,0.00007278493,0.000052955344,0.000029596249],"domain_scores_gemma":[0.9996014,0.00020096789,0.000023886007,0.00006536767,0.00007954208,0.000028864362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005693372,0.00097203907,0.00054532156,0.0007587579,0.0004282501,0.0010038199,0.0021332726,0.0008804817,0.008513831],"category_scores_gemma":[0.0019982157,0.00045114182,0.0013502892,0.0005499814,0.000469205,0.0019160577,0.0013881167,0.0016602174,0.0031950513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004096152,0.00019917819,0.0019553625,0.0003292661,0.000129583,0.0003656006,0.00015536767,0.6704598,0.0049638017,0.062208254,0.042271603,0.21655259],"study_design_scores_gemma":[0.000022164179,0.000021152879,0.00009142162,0.000010258503,0.000011825383,0.000033024942,0.000009825395,0.9790084,0.00091552024,0.014714802,0.005153257,0.000008353867],"about_ca_topic_score_codex":0.010600953,"about_ca_topic_score_gemma":0.020360172,"teacher_disagreement_score":0.010600953,"about_ca_system_score_codex":0.0010180649,"about_ca_system_score_gemma":0.001975194,"threshold_uncertainty_score":0.028481603},"labels":[],"label_agreement":null},{"id":"W4396822020","doi":"10.48550/arxiv.2405.05431","title":"Searching for Programmatic Policies in Semantic Spaces","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Advanced Research","keywords":"Computer science; Business; Knowledge management","score_opus":0.10496366685114433,"score_gpt":0.23466615448874423,"score_spread":0.1297024876375999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396822020","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09221888,0.000146168,0.90269214,0.00040531883,0.000022893539,0.00016817416,0.00016291901,0.0014809626,0.0027026038],"genre_scores_gemma":[0.48483297,0.00018101232,0.512028,0.00016136683,0.00001687555,0.00035286418,0.0003752718,0.00041953402,0.0016319979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978054,0.00095803186,0.0001503714,0.00043874004,0.00047798964,0.0001695258],"domain_scores_gemma":[0.992591,0.0056694075,0.00047434468,0.0006845735,0.0004394523,0.00014117519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029969208,0.0010400079,0.00096127373,0.0013460603,0.0007553329,0.0018652324,0.0011794273,0.0012867637,0.002724778],"category_scores_gemma":[0.014304036,0.0006967377,0.0016618804,0.00086327875,0.0024112046,0.0039751553,0.0017111958,0.0017449843,0.0004235812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028073302,0.00030742938,0.004331222,0.00040029644,0.00010220907,0.0001677752,0.000639728,0.69521374,0.009175656,0.1664066,0.0013528635,0.12162176],"study_design_scores_gemma":[0.00004835432,0.00012823383,0.0002140297,0.000044452085,0.000036009726,0.000054869175,0.00018052007,0.87812674,0.006367954,0.1121799,0.0025998189,0.000019044157],"about_ca_topic_score_codex":0.0023273416,"about_ca_topic_score_gemma":0.0036875918,"teacher_disagreement_score":0.0029969208,"about_ca_system_score_codex":0.0016609179,"about_ca_system_score_gemma":0.0028150869,"threshold_uncertainty_score":0.015849411},"labels":[],"label_agreement":null},{"id":"W4396949252","doi":"10.1109/isqed60706.2024.10528703","title":"sLLM: Accelerating LLM Inference using Semantic Load Balancing with Shared Memory Data Structures","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Inference; Load balancing (electrical power); Parallel computing; Programming language; Artificial intelligence","score_opus":0.09859305686494269,"score_gpt":0.3239352768110861,"score_spread":0.2253422199461434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396949252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039103534,0.00080077065,0.7975998,0.000692955,0.0002930965,0.0002686936,0.0012128642,0.1549946,0.0050336854],"genre_scores_gemma":[0.34826335,0.00033821145,0.63683057,0.00052705075,0.00012732157,0.000290837,0.004132445,0.004492628,0.004997612],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998192,0.0003936774,0.00016121457,0.00048093483,0.00059068727,0.00018142737],"domain_scores_gemma":[0.99661946,0.0011013747,0.00020882397,0.0014019116,0.00050705794,0.0001613048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022194604,0.0014859841,0.00094916334,0.0017530776,0.001501183,0.0028877214,0.005079719,0.0013553926,0.006787199],"category_scores_gemma":[0.008967507,0.0011291626,0.0012823567,0.0019746113,0.0011816585,0.008523818,0.004396872,0.0021212515,0.0030725438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019130716,0.0010786329,0.009884749,0.0011115507,0.000716116,0.00062292017,0.0015092816,0.107677504,0.049074184,0.035029765,0.07597804,0.7154042],"study_design_scores_gemma":[0.00017360962,0.00009397916,0.0005804387,0.00003139016,0.00010469296,0.00010034645,0.00019396038,0.9273347,0.028439214,0.028301278,0.014576699,0.000069693146],"about_ca_topic_score_codex":0.013745798,"about_ca_topic_score_gemma":0.02236006,"teacher_disagreement_score":0.013745798,"about_ca_system_score_codex":0.0019075014,"about_ca_system_score_gemma":0.0038944376,"threshold_uncertainty_score":0.027331531},"labels":[],"label_agreement":null},{"id":"W4398159015","doi":"","title":"Exploitation de l'isomorphisme de graphes et de l'alignement d'ontologies pour enrichir les objets logiciels de connaissances sémantiques : Application aux objets sages.","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Knowledge graph; Isomorphism (crystallography); Information retrieval; Subgraph isomorphism problem; Graph; Software; Natural language processing; Artificial intelligence; Theoretical computer science; Programming language","score_opus":0.05036025747368372,"score_gpt":0.35223182694047295,"score_spread":0.3018715694667892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398159015","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013308678,0.0006095662,0.9755637,0.00060083467,0.000103952036,0.00011675811,0.00046652424,0.0035841998,0.0056457114],"genre_scores_gemma":[0.11925472,0.001252062,0.86764884,0.0002934792,0.00004109762,0.0001609123,0.0022042685,0.0011392335,0.008005318],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969318,0.0008360646,0.0002526897,0.00071358326,0.0010802139,0.00018570366],"domain_scores_gemma":[0.99503124,0.0016744176,0.00035869933,0.0018054028,0.00094992673,0.00018032535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028330483,0.00097629504,0.0007453202,0.0035357398,0.0011792582,0.0040658913,0.0013727086,0.0012305904,0.0047045816],"category_scores_gemma":[0.009410464,0.0007139858,0.0023516314,0.0035845167,0.0016731748,0.010037442,0.0046388526,0.002063854,0.0017976228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025925005,0.0002954205,0.007850045,0.0012918594,0.00030746244,0.00086567143,0.0044156946,0.020040631,0.033763375,0.2886966,0.011757838,0.6304562],"study_design_scores_gemma":[0.000050174436,0.00022674078,0.007909083,0.0005217259,0.00046838136,0.0014351569,0.0037409023,0.2057579,0.057765998,0.37100905,0.3508959,0.00021892882],"about_ca_topic_score_codex":0.009061081,"about_ca_topic_score_gemma":0.019531371,"teacher_disagreement_score":0.009061081,"about_ca_system_score_codex":0.0015392407,"about_ca_system_score_gemma":0.0028933685,"threshold_uncertainty_score":0.018016636},"labels":[],"label_agreement":null},{"id":"W4398188080","doi":"10.1109/tit.2024.3403810","title":"Attributed Graph Alignment","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science","score_opus":0.012539927480566348,"score_gpt":0.2348382409553279,"score_spread":0.22229831347476156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398188080","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074848854,0.00024661826,0.9847676,0.0008506342,0.000098876124,0.00012210946,0.00087310903,0.00057868555,0.004977592],"genre_scores_gemma":[0.49956325,0.001542747,0.47513252,0.0012781982,0.00062328065,0.0007168982,0.0066177924,0.00076239405,0.013762936],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9901334,0.003667356,0.00043697353,0.0033799964,0.0017306719,0.00065164646],"domain_scores_gemma":[0.9713495,0.014053408,0.0028008122,0.008164295,0.0026874156,0.0009445996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004772463,0.0018705468,0.0021018193,0.0029926696,0.0026180123,0.0034216207,0.004917489,0.0030090301,0.008821118],"category_scores_gemma":[0.03131426,0.001012681,0.0016186915,0.0061293016,0.0028508771,0.010992727,0.0067867944,0.005595756,0.0032815652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030233074,0.00026332965,0.002161146,0.00045621858,0.00021218217,0.0004423049,0.0007026391,0.21648332,0.0024388863,0.6354076,0.016448889,0.12468116],"study_design_scores_gemma":[0.000027957109,0.000037038633,0.0002740172,0.000045762652,0.00003979536,0.0001796507,0.00014989178,0.3297945,0.0018345258,0.6607595,0.006830298,0.000027122473],"about_ca_topic_score_codex":0.0024710968,"about_ca_topic_score_gemma":0.0024895521,"teacher_disagreement_score":0.008821118,"about_ca_system_score_codex":0.0028781046,"about_ca_system_score_gemma":0.0033380918,"threshold_uncertainty_score":0.029509604},"labels":[],"label_agreement":null},{"id":"W4398551252","doi":"10.7910/dvn/eaxeet/hpufsn","title":"TopCitedWorks.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Environmental science","score_opus":0.025114199684435685,"score_gpt":0.252579917733992,"score_spread":0.22746571804955634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398551252","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000108257525,0.00008332149,0.000064989494,0.00009118241,0.00004476368,0.000011453597,0.99670106,0.0010118132,0.0018831204],"genre_scores_gemma":[0.00039022823,0.000089559806,0.00018781358,0.00005577923,0.0000127350795,0.000056346926,0.9977276,0.00024556863,0.0012344869],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870133,0.00018268124,0.0001557699,0.00039311664,0.0002971695,0.0002699416],"domain_scores_gemma":[0.99728096,0.0005635797,0.00021750024,0.0009089299,0.00058972003,0.00043942165],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0011530926,0.0034251006,0.0021955518,0.009543831,0.0015001519,0.0057496224,0.0043398696,0.0027708272,0.22294247],"category_scores_gemma":[0.007358201,0.0009230016,0.0014343509,0.013785054,0.0008329068,0.0027935475,0.004292787,0.0021442794,0.304282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033268538,0.000013333857,0.0002402239,0.0004562515,0.000014802425,0.0000136742165,0.000019642594,0.00007217363,0.00007424946,0.0006010797,0.9967518,0.0017096285],"study_design_scores_gemma":[0.00015244284,0.000014032078,0.0011129057,0.0002835565,0.000019447234,0.00004122464,0.00008348663,0.00022974255,0.00041652948,0.001411987,0.99621284,0.000021843958],"about_ca_topic_score_codex":0.017582038,"about_ca_topic_score_gemma":0.021422189,"teacher_disagreement_score":0.99045616,"about_ca_system_score_codex":0.001963664,"about_ca_system_score_gemma":0.00269691,"threshold_uncertainty_score":0.7458168},"labels":[],"label_agreement":null},{"id":"W4398902235","doi":"10.7910/dvn/wtdt8f/lsy4a2","title":"make_directory.R","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Directory; Computer science; Operating system","score_opus":0.02778054458333237,"score_gpt":0.2558699875586519,"score_spread":0.22808944297531955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398902235","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011863575,0.00007611806,0.00019121903,0.00009896453,0.00004265428,0.000016840848,0.9933569,0.004186532,0.0019120793],"genre_scores_gemma":[0.00059527135,0.000098291544,0.0007191088,0.00009893151,0.000017742721,0.000112772876,0.99589145,0.0012244036,0.0012419797],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979699,0.0003120823,0.00017639091,0.0007523271,0.00042311882,0.0003660268],"domain_scores_gemma":[0.9962263,0.00083230704,0.00028429469,0.0015380466,0.0006394069,0.00047968075],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001900979,0.0045487387,0.0026996043,0.006967553,0.0016444777,0.0054246327,0.0058214273,0.0027936446,0.22383086],"category_scores_gemma":[0.010146644,0.0013781401,0.0020092851,0.008872282,0.0010194542,0.0033450206,0.005146206,0.0026352874,0.37312105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051913194,0.000015371863,0.00023945543,0.00036775792,0.00002688197,0.000011743111,0.000017981485,0.00008986964,0.00008312954,0.0005874337,0.99680626,0.0017022404],"study_design_scores_gemma":[0.00026058473,0.000019336565,0.001138266,0.00022639064,0.000029205223,0.000046297966,0.000059277645,0.00040779106,0.0006179683,0.0027000331,0.9944613,0.00003357899],"about_ca_topic_score_codex":0.012606791,"about_ca_topic_score_gemma":0.016473783,"teacher_disagreement_score":0.7761691,"about_ca_system_score_codex":0.0016108542,"about_ca_system_score_gemma":0.0030025311,"threshold_uncertainty_score":0.74878883},"labels":[],"label_agreement":null},{"id":"W4398928708","doi":"10.7910/dvn/wtdt8f/g21hsq","title":"directory_structure.RData","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Directory; Computer science; Operating system","score_opus":0.025809419278538533,"score_gpt":0.25372637830395467,"score_spread":0.22791695902541614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398928708","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021971032,0.000057095767,0.000105341285,0.00008624353,0.000043860673,0.000014744781,0.9965604,0.0016535679,0.0012590081],"genre_scores_gemma":[0.0006255707,0.00007252325,0.0003655147,0.00004793289,0.000010097806,0.000057043657,0.9976497,0.00027613292,0.00089549914],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99841964,0.00022506704,0.00019255483,0.00046228172,0.00038786686,0.00031258585],"domain_scores_gemma":[0.99661654,0.0006222837,0.00025477805,0.0013240894,0.00071966974,0.00046260018],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012267523,0.0043669906,0.0019052242,0.008220105,0.0015905632,0.0043292097,0.0037871157,0.0027121583,0.11562856],"category_scores_gemma":[0.0072658584,0.001143705,0.001665365,0.0104435235,0.00089854264,0.0022557718,0.0030442697,0.002192615,0.17655319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057205405,0.000024374795,0.00039615223,0.00036083505,0.000016200578,0.000013378976,0.000024427363,0.00014345262,0.0001418572,0.00062276225,0.9958988,0.0023004727],"study_design_scores_gemma":[0.0002532822,0.000023436583,0.00189401,0.0002009138,0.000027176882,0.00006303587,0.000105620595,0.0007150005,0.0010179897,0.0018036121,0.99386555,0.000030495909],"about_ca_topic_score_codex":0.024797935,"about_ca_topic_score_gemma":0.029395977,"teacher_disagreement_score":0.88437146,"about_ca_system_score_codex":0.002030726,"about_ca_system_score_gemma":0.0036915776,"threshold_uncertainty_score":0.38681608},"labels":[],"label_agreement":null},{"id":"W4399196323","doi":"","title":"Collaboration and Transparency: A User-Generated Documentation for eScriptorium","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Documentation; Transparency (behavior); Computer science; World Wide Web; Computer security; Programming language","score_opus":0.013867335186840333,"score_gpt":0.24535555572151016,"score_spread":0.23148822053466983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399196323","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023692917,0.00041492606,0.67838204,0.0019795657,0.000888391,0.0008147507,0.017377988,0.21947382,0.056975625],"genre_scores_gemma":[0.18317686,0.0005879626,0.5886947,0.0007374436,0.0002560506,0.0013622636,0.037180215,0.1215002,0.066504255],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958682,0.0016867003,0.00046590166,0.00038951807,0.0013891292,0.00020059671],"domain_scores_gemma":[0.9791215,0.011772994,0.0006071642,0.0047742734,0.0031602853,0.0005637243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006295893,0.0013404627,0.00088197674,0.0032915855,0.0016033066,0.0047962847,0.0018590065,0.0022572854,0.061953112],"category_scores_gemma":[0.025628705,0.0009673536,0.0013888963,0.0019352916,0.0009057149,0.0045959395,0.005189562,0.0017932055,0.019910518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021111749,0.0006216709,0.003010094,0.0027575328,0.00014908872,0.00327658,0.014002564,0.00793067,0.021281943,0.06421799,0.4605807,0.42005992],"study_design_scores_gemma":[0.0005686543,0.00018354572,0.0014568354,0.0012169525,0.00010722098,0.0016040556,0.0011998776,0.06409422,0.036885805,0.032461397,0.8599795,0.0002419301],"about_ca_topic_score_codex":0.0016443689,"about_ca_topic_score_gemma":0.0022568624,"teacher_disagreement_score":0.061953112,"about_ca_system_score_codex":0.0008773939,"about_ca_system_score_gemma":0.0021067495,"threshold_uncertainty_score":0.20725381},"labels":[],"label_agreement":null},{"id":"W4399209075","doi":"10.1007/978-3-031-63031-6_25","title":"Educational Knowledge Graph Creation and Augmentation via LLMs","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; Athabasca University","funders":"","keywords":"Computer science; Graph; Theoretical computer science","score_opus":0.015725868230720124,"score_gpt":0.27838647963134794,"score_spread":0.2626606114006278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399209075","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017602874,0.00020466084,0.92527634,0.00043623397,0.0001541269,0.0002417933,0.0023315798,0.03630232,0.017450178],"genre_scores_gemma":[0.19175205,0.00023425074,0.78253454,0.00015921616,0.00005461647,0.00016890527,0.0059340945,0.0021139141,0.017048486],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931026,0.00014895613,0.000052754032,0.00022549972,0.00020550437,0.000057031248],"domain_scores_gemma":[0.99828017,0.0006344894,0.00006740961,0.00061034656,0.0003226368,0.00008501121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006390465,0.00054909877,0.00044081104,0.003136599,0.00066375424,0.0020077932,0.0011876345,0.00060864066,0.022805313],"category_scores_gemma":[0.003662852,0.00048095259,0.0012236165,0.0021047795,0.00047511057,0.0026122984,0.0025781903,0.0011174515,0.006668233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001993145,0.00027462255,0.0018770769,0.00041357943,0.00007749262,0.00022910807,0.00037211252,0.01671529,0.01592912,0.029991334,0.024208736,0.9097123],"study_design_scores_gemma":[0.000060465056,0.0001005158,0.0022272528,0.00019717234,0.00018770283,0.0003863152,0.00059425674,0.5965984,0.10619479,0.09001399,0.20337524,0.0000638779],"about_ca_topic_score_codex":0.0047797044,"about_ca_topic_score_gemma":0.013284535,"teacher_disagreement_score":0.022805313,"about_ca_system_score_codex":0.0008157515,"about_ca_system_score_gemma":0.0013143196,"threshold_uncertainty_score":0.07629132},"labels":[],"label_agreement":null},{"id":"W4399412435","doi":"10.2166/9781789061154_0031","title":"Metadata for a systematic description of signal data","year":2024,"lang":"en","type":"book-chapter","venue":"IWA Publishing eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Metadata; Computer science; SIGNAL (programming language); Information retrieval; Data science; World Wide Web; Programming language","score_opus":0.14657921685434516,"score_gpt":0.28152761921140457,"score_spread":0.1349484023570594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399412435","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020960213,0.0333188,0.79927766,0.006697817,0.0044403924,0.0009656848,0.011742967,0.0041390033,0.13732164],"genre_scores_gemma":[0.027650878,0.04811761,0.77453375,0.0048989556,0.0023575174,0.0019759848,0.028657611,0.004806428,0.107001334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953962,0.001216768,0.0007864043,0.00046757032,0.0019453905,0.00018765978],"domain_scores_gemma":[0.9939383,0.0028592623,0.00028480295,0.0014770472,0.0012892868,0.00015127068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043043,0.001822614,0.0013130659,0.008924153,0.0023428581,0.0084872525,0.002760367,0.0031638322,0.026769046],"category_scores_gemma":[0.011727882,0.0010837498,0.0011400323,0.0107180085,0.0031847109,0.017984888,0.004460566,0.0039920127,0.018178847],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004175963,0.000052254578,0.00032724335,0.002517853,0.000035002726,0.00046655728,0.0019204092,0.0015273851,0.0041985717,0.68897563,0.09205862,0.20787877],"study_design_scores_gemma":[0.000003821873,0.000011668273,0.00012664456,0.0009733438,0.000010307581,0.00039341013,0.00031363268,0.00063663645,0.0008613535,0.062004603,0.9346375,0.000027033835],"about_ca_topic_score_codex":0.0030127945,"about_ca_topic_score_gemma":0.002946314,"teacher_disagreement_score":0.026769046,"about_ca_system_score_codex":0.00231746,"about_ca_system_score_gemma":0.003642138,"threshold_uncertainty_score":0.08955139},"labels":[],"label_agreement":null},{"id":"W4399802442","doi":"10.3390/app14125301","title":"AtomGID: An Atomic Gesture Identifier for Qualitative Spatial Reasoning","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Identifier; Gesture; Artificial intelligence; Programming language","score_opus":0.04742960477213524,"score_gpt":0.36757281114696433,"score_spread":0.32014320637482907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399802442","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022686927,0.00015673347,0.9847055,0.00018525097,0.00009470929,0.000117851654,0.0014234013,0.007980499,0.003067396],"genre_scores_gemma":[0.07739258,0.00027545413,0.9140608,0.00031157516,0.000028945624,0.0003092932,0.0030881986,0.0005095122,0.004023731],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991179,0.00010942417,0.0000757803,0.00026761193,0.00035476836,0.00007452877],"domain_scores_gemma":[0.9993011,0.00020904627,0.000063938845,0.00021795205,0.00015125949,0.00005668997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007873155,0.0010648248,0.00075037795,0.0017188338,0.0006674283,0.0019839439,0.0032371632,0.0011733202,0.009386523],"category_scores_gemma":[0.0039897687,0.0005405662,0.0014104103,0.0009757566,0.0013193872,0.0032700421,0.0035306686,0.001806747,0.003762633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004860768,0.00015855381,0.003786312,0.0008846247,0.000120208424,0.000367327,0.0005938308,0.058437347,0.01568865,0.13296281,0.038971834,0.74754244],"study_design_scores_gemma":[0.000057499517,0.00007436472,0.0011924584,0.00023146377,0.0000627429,0.00031564428,0.00028079902,0.75731206,0.02290789,0.12157042,0.09591572,0.00007894272],"about_ca_topic_score_codex":0.009565406,"about_ca_topic_score_gemma":0.019226043,"teacher_disagreement_score":0.009565406,"about_ca_system_score_codex":0.0013627536,"about_ca_system_score_gemma":0.00218489,"threshold_uncertainty_score":0.03140098},"labels":[],"label_agreement":null},{"id":"W4399831427","doi":"10.1515/9782760524491-010","title":"Les TIC dans les sciences","year":2009,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Philosophy","score_opus":0.038023122626303085,"score_gpt":0.2170356218044582,"score_spread":0.17901249917815512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399831427","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012523889,0.048792638,0.0037501543,0.027657943,0.0064368583,0.000023205363,0.00022971994,0.0001691195,0.9116879],"genre_scores_gemma":[0.07705027,0.036852453,0.0033001497,0.010565193,0.004452626,0.000090640766,0.00037929122,0.00030480686,0.86700463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967818,0.001216574,0.00010259522,0.0004462424,0.001063322,0.0003894341],"domain_scores_gemma":[0.99789596,0.0005928884,0.00012006263,0.00034433923,0.000726176,0.0003206767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029263229,0.001231678,0.0010876552,0.0036520166,0.006339222,0.012945223,0.0010983506,0.003816881,0.034930747],"category_scores_gemma":[0.0043795956,0.0005048388,0.0005498941,0.004066735,0.018325254,0.006257398,0.003021478,0.007145028,0.009052154],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001387616,0.00000934332,0.0001275764,0.000082850005,0.0000055156092,0.000051264575,0.0015029636,0.00009838325,0.00010634074,0.8913144,0.09025121,0.016436296],"study_design_scores_gemma":[0.0000036076665,0.000003594794,0.00019577166,0.000096925374,0.000003576684,0.000047993115,0.00036312387,0.00007615207,0.000049957802,0.04168483,0.95746857,0.000005893739],"about_ca_topic_score_codex":0.25184292,"about_ca_topic_score_gemma":0.22017959,"teacher_disagreement_score":0.25184292,"about_ca_system_score_codex":0.02743028,"about_ca_system_score_gemma":0.018766712,"threshold_uncertainty_score":0.50075406},"labels":[],"label_agreement":null},{"id":"W4399855208","doi":"10.18280/isi.290330","title":"A Review of Semantic Annotation in the Context of the Linked Open Data Cloud","year":2024,"lang":"fr","type":"review","venue":"Ingénierie des systèmes d information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Linked data; Annotation; Semantic annotation; Context (archaeology); World Wide Web; Information retrieval; Open data; Semantic Web; Data science; Artificial intelligence; Geography","score_opus":0.11602101483817162,"score_gpt":0.3469274993505986,"score_spread":0.23090648451242696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399855208","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005505766,0.9639185,0.016728273,0.004414032,0.001488653,0.00006580252,0.00020220912,0.00010379234,0.012528073],"genre_scores_gemma":[0.004675171,0.97992855,0.010909275,0.0017606224,0.0010811235,0.000103100494,0.00032973694,0.00005627915,0.001156181],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967722,0.0012000232,0.00059452327,0.00039120595,0.0008903326,0.00015170373],"domain_scores_gemma":[0.98830855,0.009019365,0.00057561434,0.0004143111,0.0015086533,0.00017344275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004492671,0.0011381042,0.001424304,0.01225235,0.0014811899,0.004633233,0.0018238358,0.0029561962,0.0039723394],"category_scores_gemma":[0.012705183,0.00078391074,0.0012414828,0.016594095,0.003183343,0.009647355,0.0027726712,0.0026536149,0.0017911674],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061217695,0.000065159125,0.00072350056,0.05078096,0.00016604013,0.00085130223,0.002644645,0.0015928373,0.0015418369,0.18293275,0.06335002,0.6952897],"study_design_scores_gemma":[0.0000037368109,0.000021114018,0.0005500137,0.015344174,0.000079523525,0.0005873354,0.0005019592,0.000500919,0.00041831945,0.021355,0.96059644,0.000041592964],"about_ca_topic_score_codex":0.0048353076,"about_ca_topic_score_gemma":0.004877468,"teacher_disagreement_score":0.01225235,"about_ca_system_score_codex":0.002934759,"about_ca_system_score_gemma":0.006334634,"threshold_uncertainty_score":0.023759782},"labels":[],"label_agreement":null},{"id":"W4399969841","doi":"10.1145/3663351","title":"Proceedings of the 2nd Workshop on Simplicity in Management of Data","year":2024,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Simplicity; Computer science; Data science; Philosophy; Epistemology","score_opus":0.0737368862370595,"score_gpt":0.3263734823772363,"score_spread":0.2526365961401768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399969841","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011122873,0.041615576,0.50232667,0.17854787,0.03847595,0.00090040773,0.0026421545,0.0051616253,0.21920691],"genre_scores_gemma":[0.075222984,0.027185762,0.2904541,0.01625908,0.016759029,0.0010461617,0.008558598,0.008004976,0.5565094],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9870342,0.005239554,0.0012175447,0.0019697796,0.0036822634,0.0008566039],"domain_scores_gemma":[0.9729143,0.012915104,0.0006146878,0.005039072,0.005963287,0.0025536555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023482267,0.0013673335,0.0013694044,0.0026944524,0.0031638816,0.016806586,0.0042818724,0.0042023435,0.054079548],"category_scores_gemma":[0.03208442,0.001532245,0.0018579052,0.003418369,0.004233129,0.024564652,0.007148777,0.008035194,0.01684261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026329476,0.00019412405,0.0005375376,0.0004526059,0.00005376106,0.0003300211,0.0029075847,0.0016084459,0.0017548295,0.11306593,0.65444165,0.2243903],"study_design_scores_gemma":[0.000029511888,0.00003271663,0.0003389454,0.00026686865,0.00001839463,0.00019987005,0.00056494854,0.0023319693,0.00093124644,0.03167194,0.9635783,0.000035362158],"about_ca_topic_score_codex":0.009353945,"about_ca_topic_score_gemma":0.011172761,"teacher_disagreement_score":0.054079548,"about_ca_system_score_codex":0.005248803,"about_ca_system_score_gemma":0.0052841776,"threshold_uncertainty_score":0.1809141},"labels":[],"label_agreement":null},{"id":"W4400150345","doi":"10.1007/979-8-8688-0324-6_2","title":"Adding Content to Figma Screens","year":2024,"lang":"en","type":"book-chapter","venue":"Design Thinking","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Georgetown Hospital","funders":"","keywords":"Content (measure theory); Computer science; Mathematics","score_opus":0.12982140933318556,"score_gpt":0.2645456502329988,"score_spread":0.13472424089981325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400150345","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044890647,0.004177126,0.22044827,0.0024288644,0.0030631016,0.0002828156,0.001485201,0.013566504,0.750059],"genre_scores_gemma":[0.053928297,0.00611128,0.23429188,0.0037844826,0.00112943,0.00061415765,0.0038425475,0.008622409,0.68767554],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995189,0.0001241617,0.000016447708,0.000054742002,0.00023449713,0.000051342588],"domain_scores_gemma":[0.9992436,0.00032646031,0.00001456385,0.00016144336,0.00019928523,0.000054682634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005333442,0.0009970798,0.0003952964,0.0022398138,0.0011488184,0.004459266,0.0012596276,0.0015486629,0.10815123],"category_scores_gemma":[0.0030200605,0.000481599,0.00087607896,0.0014217666,0.00083643664,0.0062117125,0.002703762,0.0018661185,0.03749094],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007815401,0.00006518725,0.00023431238,0.0009497619,0.000014947652,0.0005647448,0.0024408123,0.00090044545,0.011540214,0.20671363,0.3635002,0.41299754],"study_design_scores_gemma":[0.000004018662,0.000009120906,0.00017700123,0.00017510336,0.0000057529114,0.00027117872,0.00013821875,0.00056061236,0.0015556284,0.010318494,0.9867721,0.000012684395],"about_ca_topic_score_codex":0.0016410054,"about_ca_topic_score_gemma":0.0037661295,"teacher_disagreement_score":0.10815123,"about_ca_system_score_codex":0.0011990217,"about_ca_system_score_gemma":0.00045362118,"threshold_uncertainty_score":0.36180192},"labels":[],"label_agreement":null},{"id":"W4400458581","doi":"10.7202/1111665ar","title":"Réflexion sur le rôle des métadonnées pour une meilleure découverte","year":2024,"lang":"fr","type":"article","venue":"Documentation et bibliothèques","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Philosophy","score_opus":0.057157933315220726,"score_gpt":0.3331323502381006,"score_spread":0.2759744169228799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400458581","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14114574,0.027719151,0.6715885,0.035954986,0.0027998798,0.0006563574,0.002146861,0.011074664,0.106913924],"genre_scores_gemma":[0.46520308,0.0075105997,0.4441645,0.003855966,0.00058621186,0.0005253541,0.0027184107,0.0038806426,0.07155518],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98018056,0.008132466,0.0020601873,0.0024524895,0.006416592,0.00075756374],"domain_scores_gemma":[0.95347464,0.018556636,0.0018634906,0.01155655,0.013289277,0.0012594166],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.024472713,0.0011541371,0.0015563768,0.004245643,0.0031572385,0.01683885,0.0017016813,0.002803884,0.010742963],"category_scores_gemma":[0.040823247,0.0010193674,0.0017292505,0.00419526,0.0036356726,0.019731594,0.007202593,0.003909084,0.0043898807],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091131567,0.00029089424,0.018861288,0.0026525592,0.00035431224,0.0014143636,0.046472132,0.002437217,0.04292754,0.15277354,0.024398316,0.7065065],"study_design_scores_gemma":[0.00011292408,0.0003462206,0.010480657,0.0023034809,0.00035372793,0.0015950269,0.012165837,0.009516402,0.03469251,0.044616077,0.8835816,0.0002354137],"about_ca_topic_score_codex":0.012775156,"about_ca_topic_score_gemma":0.013630032,"teacher_disagreement_score":0.98316115,"about_ca_system_score_codex":0.0036299266,"about_ca_system_score_gemma":0.008514036,"threshold_uncertainty_score":0.12942564},"labels":[],"label_agreement":null},{"id":"W4400484980","doi":"10.1145/3664646.3665085","title":"Automated Scheduling for Thematic Coherence in Conferences","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Thematic map; Coherence (philosophical gambling strategy); Scheduling (production processes); Engineering; Operations management","score_opus":0.04984213708587687,"score_gpt":0.31971769260048166,"score_spread":0.2698755555146048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400484980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10903871,0.00030403284,0.8769811,0.00037626975,0.00010688742,0.00043629055,0.00059549225,0.0050987885,0.0070624594],"genre_scores_gemma":[0.575186,0.00013129122,0.42135662,0.00004786638,0.00005532558,0.0001931969,0.0011223814,0.00060457,0.0013027764],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615437,0.0018216089,0.00022959961,0.0005806007,0.0009750221,0.00023885697],"domain_scores_gemma":[0.99257916,0.0030696962,0.0010941568,0.0012643317,0.0015116478,0.00048104778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004179161,0.0004983328,0.00059112435,0.0018469592,0.0019267567,0.0019984075,0.0013953528,0.00046981437,0.0030222323],"category_scores_gemma":[0.011067165,0.00041446683,0.0006572132,0.0020195146,0.00059086835,0.0021520907,0.0015981459,0.0010040948,0.0006209923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008701111,0.00045454875,0.009202212,0.00061498623,0.00016326873,0.0002606977,0.001676785,0.36324176,0.046908014,0.04746294,0.011428564,0.5177161],"study_design_scores_gemma":[0.00008579402,0.00015006156,0.0048329495,0.000028010323,0.000055422162,0.000082764214,0.0007221436,0.9186923,0.026181545,0.028521297,0.020590587,0.000057079353],"about_ca_topic_score_codex":0.010604626,"about_ca_topic_score_gemma":0.015507104,"teacher_disagreement_score":0.010604626,"about_ca_system_score_codex":0.0015707331,"about_ca_system_score_gemma":0.005133468,"threshold_uncertainty_score":0.02210182},"labels":[],"label_agreement":null},{"id":"W4400909988","doi":"10.1109/icde60146.2024.00021","title":"KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Concordia University","funders":"","keywords":"Computer science; Abstraction; Automation; Software engineering; Data science; Programming language; Engineering; Epistemology","score_opus":0.06975662402876652,"score_gpt":0.3397223041992777,"score_spread":0.26996568017051115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400909988","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050901244,0.0006041324,0.711444,0.0006188345,0.0001736162,0.0004889999,0.005056557,0.27092338,0.0056002457],"genre_scores_gemma":[0.0798411,0.0014718324,0.86090857,0.001043073,0.00009370623,0.0008099894,0.031709474,0.01764471,0.0064774808],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969212,0.0005514672,0.00032910207,0.00081821764,0.0011507196,0.00022931621],"domain_scores_gemma":[0.99493825,0.0015284033,0.0004089476,0.0022804665,0.0004762695,0.0003676536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038342443,0.0018795496,0.00116671,0.0043445495,0.0011888258,0.004778788,0.0050939284,0.0014554468,0.008868001],"category_scores_gemma":[0.008836102,0.0019635698,0.0028131695,0.0032603818,0.0022383565,0.0106591815,0.010730373,0.0046999063,0.0066909934],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002472951,0.0008285972,0.007858693,0.003512802,0.0010539694,0.0015279893,0.0027791758,0.041664526,0.03179552,0.17826162,0.21243703,0.51580715],"study_design_scores_gemma":[0.00042123854,0.00027056536,0.002570686,0.00052563084,0.00025211193,0.0008472414,0.00050790893,0.27155367,0.054027297,0.1861737,0.4824636,0.00038623647],"about_ca_topic_score_codex":0.009890627,"about_ca_topic_score_gemma":0.009714397,"teacher_disagreement_score":0.009890627,"about_ca_system_score_codex":0.0020507826,"about_ca_system_score_gemma":0.004380558,"threshold_uncertainty_score":0.029666424},"labels":[],"label_agreement":null},{"id":"W4400954098","doi":"10.3233/shti240300","title":"Interpretive Description in Computerized Ontology Development: Rigour","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Rigour; Ontology; Computer science; Quality (philosophy); Data science; Management science; Engineering ethics; Epistemology; Engineering; Philosophy","score_opus":0.053063754240777083,"score_gpt":0.3513131389315993,"score_spread":0.29824938469082224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400954098","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0117700705,0.0036979613,0.9425401,0.017680721,0.00042867672,0.0011253868,0.00015416188,0.00042846237,0.022174424],"genre_scores_gemma":[0.35691884,0.0035414654,0.62588346,0.0022635225,0.0005087476,0.003479281,0.0004201451,0.00059094967,0.00639367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.6484248,0.29990682,0.010652663,0.006495827,0.032813605,0.00170638],"domain_scores_gemma":[0.43256384,0.4475438,0.008080575,0.0892305,0.020838331,0.0017429066],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.30133206,0.0017547706,0.0026888817,0.008287882,0.0053266673,0.022516359,0.0068439627,0.00500685,0.005707639],"category_scores_gemma":[0.36504182,0.0018506513,0.0017841613,0.004117779,0.037449628,0.03512086,0.019645587,0.008585854,0.0011322594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022000131,0.00021700302,0.0019456114,0.0016035436,0.00016070655,0.00026169067,0.024929252,0.004243807,0.0009510781,0.82878804,0.0025378389,0.13414145],"study_design_scores_gemma":[0.00017796575,0.00017874478,0.0006273727,0.002672756,0.000074854,0.00030521807,0.006844585,0.02278781,0.0031755946,0.9052552,0.057770748,0.00012921232],"about_ca_topic_score_codex":0.0063328906,"about_ca_topic_score_gemma":0.003846143,"teacher_disagreement_score":0.30133206,"about_ca_system_score_codex":0.008347138,"about_ca_system_score_gemma":0.012213147,"threshold_uncertainty_score":0.861582},"labels":[],"label_agreement":null},{"id":"W4401023411","doi":"10.24963/ijcai.2024/977","title":"DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Machine Intelligence Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Generative grammar; Computer science; Artificial intelligence; Lens (geology); Natural language processing; Human–computer interaction; Optics; Physics","score_opus":0.010510367887012713,"score_gpt":0.240289029356347,"score_spread":0.2297786614693343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401023411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026385388,0.0002131944,0.99554694,0.000058971873,0.000045702545,0.000022598091,0.000037433183,0.00090991706,0.0005267057],"genre_scores_gemma":[0.23045546,0.00058761385,0.7627273,0.000237976,0.000106661435,0.00024862113,0.0006199376,0.00064272765,0.0043737274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992418,0.00014972752,0.00004801662,0.00019146095,0.00031116622,0.000057816615],"domain_scores_gemma":[0.99913317,0.00033924077,0.00010572661,0.00015685278,0.00021874807,0.00004619523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011713393,0.0013320569,0.0014148725,0.0010418553,0.00054736785,0.00076130807,0.0023698118,0.0011854282,0.001457077],"category_scores_gemma":[0.0040509873,0.00079817,0.0012963217,0.0011249958,0.00079831295,0.0018617008,0.002604695,0.001502742,0.00078642584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002282225,0.000120878365,0.002048358,0.0003154842,0.00019268821,0.00015602537,0.0004393921,0.4776178,0.02368048,0.03006252,0.0075112586,0.45762688],"study_design_scores_gemma":[0.000014677576,0.00003663595,0.00016143695,0.000010040719,0.000011733754,0.00004584991,0.000015662225,0.99008536,0.0028785055,0.0039169346,0.0028049925,0.000018219094],"about_ca_topic_score_codex":0.011259415,"about_ca_topic_score_gemma":0.0122321285,"teacher_disagreement_score":0.011259415,"about_ca_system_score_codex":0.00073281996,"about_ca_system_score_gemma":0.0011395382,"threshold_uncertainty_score":0.022387743},"labels":[],"label_agreement":null},{"id":"W4401023548","doi":"10.24963/ijcai.2024/999","title":"Bidirectional Search while Ensuring Meet-In-The-Middle via Effective and Efficient-to-Compute Termination Conditions","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Engineering and Physical Sciences Research Council; UK Research and Innovation","keywords":"Computer science; Human–computer interaction; Interface (matter); Interactive Learning; Artificial intelligence; Multimedia; Operating system","score_opus":0.025353744822576067,"score_gpt":0.2763743180233199,"score_spread":0.25102057320074384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401023548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01552598,0.00016238673,0.9771657,0.0003504564,0.000030613573,0.0001594842,0.000086595515,0.0010374662,0.0054813917],"genre_scores_gemma":[0.23113035,0.000176649,0.7642112,0.0002898117,0.000058703157,0.0006088956,0.0003957716,0.0006881173,0.0024404929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952932,0.001953447,0.00034433117,0.00054006086,0.0012692733,0.0005996766],"domain_scores_gemma":[0.98367083,0.011597588,0.0008922288,0.0018160833,0.0015071239,0.00051607966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057392814,0.0013985937,0.0018253042,0.001631183,0.0015496284,0.0030104264,0.0022161377,0.0024291996,0.006859921],"category_scores_gemma":[0.033543486,0.00085984677,0.0013518139,0.0015943865,0.0017977306,0.0044545075,0.0049765455,0.0028907957,0.0027847306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001024359,0.00049880176,0.0029180467,0.0007428075,0.00011138378,0.00042940964,0.00097241125,0.39454526,0.012469828,0.2649513,0.010508685,0.31082767],"study_design_scores_gemma":[0.00010964265,0.00014664563,0.00014675278,0.00009979384,0.00003896201,0.00012554623,0.00021135627,0.8345042,0.0065561533,0.1532084,0.0048255124,0.000027118847],"about_ca_topic_score_codex":0.002285036,"about_ca_topic_score_gemma":0.0034176104,"teacher_disagreement_score":0.006859921,"about_ca_system_score_codex":0.001026634,"about_ca_system_score_gemma":0.0048987716,"threshold_uncertainty_score":0.030352592},"labels":[],"label_agreement":null},{"id":"W4401024405","doi":"10.24963/ijcai.2024/662","title":"NeSyA: Neurosymbolic Automata","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Advanced Research","keywords":"Computer science; World Wide Web; Programming language","score_opus":0.012109508417336162,"score_gpt":0.2511327238470092,"score_spread":0.23902321542967303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401024405","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009711116,0.0003168919,0.96621245,0.00050054514,0.00015335865,0.00010090391,0.0010555289,0.01055074,0.011398501],"genre_scores_gemma":[0.3712491,0.00074745837,0.6083402,0.0005451584,0.00010388041,0.00070314243,0.0024320646,0.0011587852,0.014720214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996978,0.000056411158,0.000036881625,0.000092614435,0.00009113494,0.000025251811],"domain_scores_gemma":[0.99929464,0.0003306929,0.0000602714,0.00016265971,0.00010832445,0.00004337449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048000363,0.0005330345,0.00040728296,0.0005748971,0.00056456117,0.0014393335,0.0014586743,0.0008834527,0.008830916],"category_scores_gemma":[0.0030953134,0.00034673934,0.00087919645,0.00048506586,0.0012198044,0.0029542178,0.0016411234,0.0012515379,0.0020607265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024161104,0.00010021282,0.0019727505,0.00046877,0.00008685708,0.00035355167,0.00042554573,0.17597118,0.014279595,0.598984,0.022037175,0.18507881],"study_design_scores_gemma":[0.000024316472,0.00004121251,0.00025507942,0.00006568717,0.000025778745,0.0001670336,0.000054606142,0.63292557,0.008128223,0.30975932,0.048526257,0.000027002938],"about_ca_topic_score_codex":0.0031311559,"about_ca_topic_score_gemma":0.004809344,"teacher_disagreement_score":0.008830916,"about_ca_system_score_codex":0.0009326022,"about_ca_system_score_gemma":0.0010376539,"threshold_uncertainty_score":0.029542327},"labels":[],"label_agreement":null},{"id":"W4401043958","doi":"10.18653/v1/2024.naacl-long.320","title":"TabSQLify: Enhancing Reasoning Capabilities of LLMs Through Table Decomposition","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Decomposition; Table (database); Computer science; Case-based reasoning; Artificial intelligence; Data mining; Ecology; Biology","score_opus":0.013584238508266492,"score_gpt":0.2827173814438598,"score_spread":0.2691331429355933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401043958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015999101,0.0015762293,0.752747,0.0018240699,0.00044701545,0.00045547314,0.014878404,0.2004154,0.011657315],"genre_scores_gemma":[0.083573595,0.00096299,0.872233,0.0010612258,0.00015360472,0.00030766052,0.026568837,0.005984955,0.009154216],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981658,0.00048511356,0.0002192613,0.00031462955,0.0006604935,0.00015472146],"domain_scores_gemma":[0.9953063,0.0023015502,0.00019706028,0.0011881661,0.00083452,0.00017237116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002226104,0.0013819153,0.0009535776,0.0025943802,0.00078032917,0.0038276315,0.0031368497,0.0011085389,0.026636863],"category_scores_gemma":[0.0115589015,0.00085270195,0.0022835885,0.002835846,0.0006667287,0.007978236,0.0041732118,0.00172811,0.010009374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011729961,0.00046629843,0.0032989336,0.0016176428,0.0002197567,0.00043122724,0.0007599695,0.013292592,0.010220287,0.030721568,0.22081935,0.71697944],"study_design_scores_gemma":[0.00091858424,0.00030385953,0.0013438403,0.00049143186,0.00034056694,0.00053816114,0.00086571113,0.5050422,0.04508651,0.1297754,0.31508857,0.00020527291],"about_ca_topic_score_codex":0.014075447,"about_ca_topic_score_gemma":0.02203715,"teacher_disagreement_score":0.026636863,"about_ca_system_score_codex":0.001240041,"about_ca_system_score_gemma":0.0026210756,"threshold_uncertainty_score":0.08910918},"labels":[],"label_agreement":null},{"id":"W4401117170","doi":"10.5206/elip.v6i1.16735","title":"Choosing the Sweet Life with DOLCE","year":2024,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ontology; Computer science; Process ontology; Formal ontology; Ontology components; Context (archaeology); Upper ontology; Ontology engineering; Philosophy of science; Domain (mathematical analysis); Ontology-based data integration; Commit; Information retrieval; Epistemology; Suggested Upper Merged Ontology; Data science; Philosophy; Semantic Web; Database; Mathematics","score_opus":0.006595063739868802,"score_gpt":0.2120516734803015,"score_spread":0.2054566097404327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401117170","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026468068,0.042725742,0.2101538,0.30369833,0.005674021,0.00010098992,0.000216377,0.00057708897,0.41038558],"genre_scores_gemma":[0.6904969,0.03220638,0.16404861,0.05467138,0.0021421358,0.0004022352,0.00023908821,0.0011424158,0.05465092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9880051,0.007189959,0.0004425761,0.00089585216,0.002897251,0.00056920317],"domain_scores_gemma":[0.9894246,0.006696348,0.00042852273,0.0011887918,0.0016727506,0.00058900815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015163115,0.0006862751,0.0010715261,0.0050239237,0.0076029147,0.014010889,0.0015738306,0.004708828,0.004544433],"category_scores_gemma":[0.022845762,0.00052863307,0.0008160041,0.0049829623,0.032349236,0.038667507,0.009379134,0.009658908,0.0012731106],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010414067,0.000004558012,0.00006480444,0.000036833015,0.0000034965158,0.000028077493,0.0020777555,0.00005494995,0.000039341507,0.98673546,0.0033948154,0.007549417],"study_design_scores_gemma":[0.000007837737,0.0000110840365,0.000092059665,0.00026946657,0.000007074778,0.00010570789,0.005658816,0.00044058272,0.0002375533,0.74938196,0.24376652,0.000021301319],"about_ca_topic_score_codex":0.009061256,"about_ca_topic_score_gemma":0.012336547,"teacher_disagreement_score":0.015163115,"about_ca_system_score_codex":0.009053056,"about_ca_system_score_gemma":0.005662386,"threshold_uncertainty_score":0.080191135},"labels":[],"label_agreement":null},{"id":"W4401173658","doi":"10.1007/978-3-031-65522-7","title":"Proceedings of the Third International Conference on Innovations in Computing Research (ICR’24)","year":2024,"lang":"en","type":"book","venue":"Lecture notes in networks and systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"California State University, East Bay; Universität Potsdam; Fu Jen Catholic University; Klaipedos Universitetas; King Fahd University of Petroleum and Minerals; Universidade de Lisboa; American University of Sharjah; University of Nicosia; University of South Alabama; Cairo University; University of Edinburgh; Western Sydney University; King's College London; Consejo Superior de Investigaciones Científicas; University of the Pacific; Universidad Técnica Particular de Loja; Cleveland State University; University of East Anglia; Mississippi State University; University of Duhok; Rhode Island College; Universidad Tecnológica Nacional; York University; West Virginia University","keywords":"Political science; Engineering ethics; Computer science; Library science; Engineering","score_opus":0.07566779529355104,"score_gpt":0.32043706386119575,"score_spread":0.2447692685676447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401173658","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019022787,0.09760824,0.15739295,0.034435425,0.1704996,0.0007711622,0.0041305004,0.004917008,0.5112224],"genre_scores_gemma":[0.048404887,0.03708792,0.0669104,0.003395364,0.0134583935,0.0004142493,0.010115797,0.0023182787,0.8178947],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997595,0.0006649418,0.00012168379,0.00033327547,0.0010043088,0.00028076547],"domain_scores_gemma":[0.99571973,0.0006708156,0.00013564987,0.00066852086,0.0018109966,0.0009942738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043257847,0.00094605697,0.0018380126,0.0015603051,0.0009862079,0.007241387,0.0014515953,0.0016991665,0.09261073],"category_scores_gemma":[0.003925683,0.00038442068,0.0009139007,0.0020226855,0.0011369425,0.002858791,0.0023074052,0.0027719224,0.051562015],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031072862,0.0002614649,0.0006150438,0.00035679204,0.00005211246,0.00012221352,0.00018658595,0.000600817,0.0034481639,0.01145979,0.70192844,0.28065777],"study_design_scores_gemma":[0.00002895282,0.00008863966,0.0014192006,0.00017163396,0.00004620448,0.00016875449,0.00017106219,0.002061723,0.0020390435,0.0051227342,0.98866034,0.000021672173],"about_ca_topic_score_codex":0.0045464374,"about_ca_topic_score_gemma":0.0078111165,"teacher_disagreement_score":0.09261073,"about_ca_system_score_codex":0.0016413727,"about_ca_system_score_gemma":0.003388954,"threshold_uncertainty_score":0.30981374},"labels":[],"label_agreement":null},{"id":"W4401200995","doi":"10.48550/arxiv.2407.18940","title":"LitSearch: A Retrieval Benchmark for Scientific Literature Search","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Catastrophic Loss Reduction; National Science Foundation","keywords":"Benchmark (surveying); Information retrieval; Computer science; Scientific literature; Data science; Geography; Biology; Cartography; Paleontology","score_opus":0.136358188139202,"score_gpt":0.23353417406338087,"score_spread":0.09717598592417886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401200995","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18473643,0.061861858,0.20794153,0.007372284,0.002245199,0.005924559,0.34513864,0.13066731,0.054112107],"genre_scores_gemma":[0.16776407,0.0065317093,0.29563215,0.0013747821,0.0005398119,0.0034297763,0.5149957,0.00320142,0.0065306067],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.989316,0.0042975233,0.002207902,0.0011777146,0.0026409405,0.0003600175],"domain_scores_gemma":[0.9676444,0.018725326,0.0020747185,0.0042443313,0.0062285233,0.0010826827],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.011762485,0.00212703,0.001443969,0.022621367,0.0016274654,0.0035510154,0.0024500499,0.0025410797,0.007575789],"category_scores_gemma":[0.06257696,0.000507835,0.001416129,0.015308029,0.0009494147,0.0051764925,0.003577145,0.0012658306,0.008172857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014731258,0.0010416794,0.011027208,0.023513589,0.0008847167,0.00063452957,0.0016579211,0.023066262,0.022476822,0.0116809625,0.46062574,0.44191748],"study_design_scores_gemma":[0.001931888,0.0030832838,0.03234949,0.0026700369,0.0008823879,0.0028753125,0.002627251,0.219609,0.055439755,0.03828269,0.6396486,0.00060024264],"about_ca_topic_score_codex":0.006469675,"about_ca_topic_score_gemma":0.012159586,"teacher_disagreement_score":0.9882375,"about_ca_system_score_codex":0.0021171968,"about_ca_system_score_gemma":0.0038499525,"threshold_uncertainty_score":0.062206686},"labels":[],"label_agreement":null},{"id":"W4401218473","doi":"10.1037/qup0000293","title":"Analyzing discourse for implicit ontologies.","year":2024,"lang":"en","type":"article","venue":"Qualitative Psychology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Genome British Columbia","keywords":"Computer science; Natural language processing; Linguistics; Psychology; Philosophy","score_opus":0.10727013400393158,"score_gpt":0.5079760037788311,"score_spread":0.4007058697748995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401218473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25789273,0.0064549744,0.5366823,0.028872123,0.0005620419,0.00083774386,0.0036607378,0.0004983384,0.16453907],"genre_scores_gemma":[0.9133292,0.0009522449,0.07704884,0.0005981067,0.00008664891,0.00045699126,0.0014461194,0.00015845758,0.0059233215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9776718,0.017120041,0.0007423408,0.0011920392,0.0028337946,0.0004400477],"domain_scores_gemma":[0.896642,0.08879786,0.0044326265,0.004123628,0.0054242364,0.00057959196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019862562,0.00046390714,0.00038442324,0.004475292,0.003348421,0.007336754,0.0014820576,0.0015732229,0.008123871],"category_scores_gemma":[0.102579355,0.0004427867,0.0005422209,0.00475208,0.008204869,0.01610344,0.0048367195,0.0022298808,0.00068489194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012174003,0.00008080229,0.0045246924,0.00067340286,0.000047367943,0.00018704895,0.075150244,0.0005546146,0.0014030945,0.8690161,0.0044155237,0.043825377],"study_design_scores_gemma":[0.00003432021,0.000032193413,0.0037830912,0.00093590125,0.00005938846,0.00016916699,0.06660012,0.006589471,0.0032000847,0.855557,0.06300217,0.000037043228],"about_ca_topic_score_codex":0.0053419615,"about_ca_topic_score_gemma":0.0060679726,"teacher_disagreement_score":0.019862562,"about_ca_system_score_codex":0.0053199437,"about_ca_system_score_gemma":0.004523647,"threshold_uncertainty_score":0.105044544},"labels":[],"label_agreement":null},{"id":"W4401463404","doi":"10.5334/dsj-2024-042","title":"Decentralised Semantics: A Semantic Engine User Perspective","year":2024,"lang":"en","type":"article","venue":"Data Science Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canada First Research Excellence Fund","keywords":"Computer science; Perspective (graphical); Semantics (computer science); Information retrieval; Semantic computing; World Wide Web; Semantic Web; Programming language; Artificial intelligence","score_opus":0.040953870980605905,"score_gpt":0.3302790571581251,"score_spread":0.28932518617751923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401463404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013509474,0.0006711522,0.9216243,0.007822931,0.00025132316,0.00019702945,0.0004220857,0.0047689616,0.050732736],"genre_scores_gemma":[0.38332123,0.0014641403,0.58282024,0.0028905945,0.00043464924,0.00041360568,0.0013683479,0.0046613645,0.022625774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.98461354,0.006330896,0.0017654863,0.001914406,0.00430879,0.001066829],"domain_scores_gemma":[0.9778541,0.008614488,0.0006126818,0.00856657,0.003326021,0.0010261547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034224972,0.000986331,0.0018263785,0.0029558996,0.0022913096,0.01966344,0.0049026506,0.0050690663,0.0075570657],"category_scores_gemma":[0.028262032,0.0016021392,0.002687666,0.0031901319,0.012114923,0.04015477,0.011834325,0.007336187,0.0033670606],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009627085,0.00004728219,0.0006321993,0.00014510633,0.000035636625,0.0002544081,0.005409517,0.0028203155,0.0015583568,0.9679331,0.00400163,0.017066045],"study_design_scores_gemma":[0.000052349173,0.000066241344,0.00027146054,0.00026764127,0.00006668923,0.0005744269,0.0024212082,0.032831077,0.004960718,0.71036655,0.24804537,0.000076366305],"about_ca_topic_score_codex":0.0057954118,"about_ca_topic_score_gemma":0.0042613014,"teacher_disagreement_score":0.034224972,"about_ca_system_score_codex":0.004605157,"about_ca_system_score_gemma":0.005365734,"threshold_uncertainty_score":0.18100113},"labels":[],"label_agreement":null},{"id":"W4401540932","doi":"10.31219/osf.io/z8uqr","title":"Ontologies for Sustainability: Theoretical Challenges","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Advanced Cyberinfrastructure; University at Buffalo; European Commission; Dipartimenti di Eccellenza; McGill University; Università degli Studi di Milano; U.S. Department of Agriculture; National Science Foundation","keywords":"Sustainability; IDEF5; Ontology; Sustainability science; Polysemy; Knowledge management; Sustainability organizations; Computer science; Engineering ethics; Business; Management science; Engineering; Ecology; Process ontology; Epistemology; Artificial intelligence; Biology","score_opus":0.041737070834146295,"score_gpt":0.3182111237084251,"score_spread":0.2764740528742788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401540932","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011570587,0.09936458,0.47422943,0.28286085,0.002633791,0.00020014614,0.00060720893,0.0004362169,0.12809715],"genre_scores_gemma":[0.45824274,0.118108734,0.3709658,0.02482192,0.0091192685,0.0012787273,0.0013978945,0.0007216767,0.01534328],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9823584,0.009891197,0.0012079906,0.0016680575,0.00418271,0.000691689],"domain_scores_gemma":[0.96295786,0.027461147,0.0010393538,0.0041240705,0.0033661562,0.0010513491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020964695,0.001191352,0.0018352825,0.005735525,0.0050567132,0.016563917,0.0035871628,0.0072791604,0.005129203],"category_scores_gemma":[0.032509502,0.0010422847,0.0015405539,0.006849893,0.027290752,0.046637125,0.009692169,0.0126788085,0.001632269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018700864,0.000007684403,0.00006764787,0.00009263472,0.0000046191417,0.000018084276,0.0004288031,0.0003969665,0.000029478402,0.9910261,0.0014689582,0.006457101],"study_design_scores_gemma":[0.0000017843513,0.000002745403,0.000041564814,0.0001791494,0.0000026917473,0.000034931953,0.00045345465,0.0012018068,0.000036733258,0.9635536,0.034484997,0.000006459088],"about_ca_topic_score_codex":0.0062662163,"about_ca_topic_score_gemma":0.0030467978,"teacher_disagreement_score":0.020964695,"about_ca_system_score_codex":0.007608637,"about_ca_system_score_gemma":0.0069233533,"threshold_uncertainty_score":0.11087322},"labels":[],"label_agreement":null},{"id":"W4401577693","doi":"10.1145/3687486","title":"An Exploration of IFLA LRM for Literature Data Representation","year":2024,"lang":"en","type":"article","venue":"Journal on Computing and Cultural Heritage","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Schema (genetic algorithms); SPARQL; Semantic Web; Ontology; Representation (politics); Linked data; Vocabulary; Knowledge base; Knowledge representation and reasoning; World Wide Web; External Data Representation; RDF; Information retrieval; Linguistics; Artificial intelligence; Political science; Epistemology","score_opus":0.11840139343389332,"score_gpt":0.386393668513005,"score_spread":0.26799227507911166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401577693","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014050026,0.0017988534,0.9360501,0.0066322163,0.00031123206,0.00097502547,0.0074123032,0.016545657,0.01622455],"genre_scores_gemma":[0.06203971,0.0010764985,0.9136314,0.0010163266,0.0000705383,0.000561806,0.015817145,0.00088648626,0.0049001477],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99395025,0.0015779246,0.0011672617,0.0009849922,0.0019427666,0.0003768957],"domain_scores_gemma":[0.9876825,0.00224903,0.00082384417,0.0050732433,0.0036373462,0.0005339487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00947951,0.00065567414,0.000894588,0.007076184,0.002370996,0.008947654,0.0047280304,0.0015709783,0.004296333],"category_scores_gemma":[0.020177241,0.0007979695,0.0029111302,0.008095066,0.0016446178,0.012021581,0.006905133,0.003396735,0.0029701386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002167884,0.00041318894,0.008679266,0.001799236,0.00023957713,0.0011103064,0.004933559,0.013538778,0.010544948,0.4549887,0.05752998,0.44600564],"study_design_scores_gemma":[0.000042852822,0.000110852925,0.002643684,0.0013332369,0.0001223982,0.00089974445,0.002097978,0.10889918,0.008252182,0.10571664,0.76971084,0.00017042515],"about_ca_topic_score_codex":0.069896206,"about_ca_topic_score_gemma":0.09081707,"teacher_disagreement_score":0.069896206,"about_ca_system_score_codex":0.007308003,"about_ca_system_score_gemma":0.007553212,"threshold_uncertainty_score":0.13897878},"labels":[],"label_agreement":null},{"id":"W4401596358","doi":"","title":"Tackling the XAI Disagreement Problem with Regional Explanations","year":2024,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"","keywords":"Regional science; Computer science; Geography","score_opus":0.015416411755497383,"score_gpt":0.23773697576405872,"score_spread":0.22232056400856134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401596358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05353724,0.0019897965,0.88819104,0.017904295,0.00050768006,0.00024762936,0.0018778057,0.0033118255,0.03243274],"genre_scores_gemma":[0.624431,0.00088589743,0.3552361,0.0016637641,0.0008500743,0.00018217134,0.003042022,0.0014381291,0.012270817],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98221886,0.009219271,0.00091374037,0.002741855,0.003932854,0.00097341946],"domain_scores_gemma":[0.89277846,0.08090093,0.005634657,0.011338292,0.008183299,0.0011643285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020921456,0.0011484163,0.0019863113,0.0044013625,0.0044683036,0.0071096616,0.0047884383,0.00603418,0.018121157],"category_scores_gemma":[0.13519984,0.0017548918,0.0018842205,0.0063695307,0.003164389,0.018856313,0.010217085,0.0074716047,0.0021356642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005818705,0.0002421184,0.016381582,0.0013105709,0.00039511005,0.002898147,0.007841402,0.06488032,0.0031773867,0.6217375,0.041752383,0.23880158],"study_design_scores_gemma":[0.00013231626,0.00006788122,0.0023242126,0.00039408347,0.00026006915,0.0009740181,0.0047133043,0.3821431,0.0052164905,0.5349591,0.068710804,0.000104676765],"about_ca_topic_score_codex":0.011393149,"about_ca_topic_score_gemma":0.012464013,"teacher_disagreement_score":0.020921456,"about_ca_system_score_codex":0.0031988458,"about_ca_system_score_gemma":0.0038667857,"threshold_uncertainty_score":0.11064452},"labels":[],"label_agreement":null},{"id":"W4401857389","doi":"10.1145/3637528.3671448","title":"Graph Reasoning with LLMs (GReaL)","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Google (Canada)","funders":"","keywords":"Computer science; Graph; Theoretical computer science","score_opus":0.010189578392968364,"score_gpt":0.23082681594987617,"score_spread":0.2206372375569078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401857389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002150188,0.0010759956,0.95841753,0.0032666652,0.00039244135,0.0002277065,0.0014844378,0.010724307,0.022260591],"genre_scores_gemma":[0.05735213,0.002114685,0.91081035,0.002180294,0.00032026565,0.0004133923,0.0054600085,0.0020754393,0.019273473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968899,0.0013114326,0.00022778242,0.00058973365,0.00079152203,0.00018965946],"domain_scores_gemma":[0.9965307,0.0022272044,0.00014902353,0.0005907174,0.00039651268,0.00010583719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030284668,0.0014893252,0.000623626,0.0021364642,0.001049789,0.003908104,0.002945842,0.0019653619,0.027942903],"category_scores_gemma":[0.01270029,0.0009326431,0.0034719475,0.0016010581,0.0018126968,0.007996667,0.0046406365,0.004371141,0.011120717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010342763,0.00013361203,0.000432986,0.0009425499,0.00007772175,0.00047780914,0.0009764285,0.015034987,0.0034982793,0.59936905,0.11465602,0.2642972],"study_design_scores_gemma":[0.000038238886,0.000035123252,0.00019643888,0.0002997464,0.000048897782,0.00047845376,0.00025628426,0.05929572,0.0054094032,0.60341513,0.33047864,0.00004793542],"about_ca_topic_score_codex":0.00273092,"about_ca_topic_score_gemma":0.005555341,"teacher_disagreement_score":0.027942903,"about_ca_system_score_codex":0.0018834673,"about_ca_system_score_gemma":0.0014637691,"threshold_uncertainty_score":0.09347832},"labels":[],"label_agreement":null},{"id":"W4401990363","doi":"10.2139/ssrn.4940693","title":"Domain-Adequacy of Ontologies with Statistically-Defined Concepts: A Disel Plug-In","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Domain (mathematical analysis); Plug-in; Computer science; Ontology; Software engineering; Data mining; Information retrieval; Mathematics; Programming language; Epistemology; Philosophy; Mathematical analysis","score_opus":0.011521575571978613,"score_gpt":0.27791249424700637,"score_spread":0.26639091867502773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401990363","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029195359,0.00022160051,0.8933497,0.0007719258,0.000082762956,0.00035007283,0.0017490378,0.066944696,0.0073348503],"genre_scores_gemma":[0.40111357,0.0003668359,0.57136875,0.0005146301,0.00010044812,0.00039863697,0.006753293,0.013721726,0.0056620417],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9908715,0.003127816,0.0010092978,0.0011982439,0.0034026692,0.00039043115],"domain_scores_gemma":[0.9751247,0.016303165,0.00087088876,0.0052913884,0.0019735184,0.00043637122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012859007,0.0013505837,0.001449021,0.005318796,0.00096689013,0.006683427,0.0031292676,0.001886718,0.012571517],"category_scores_gemma":[0.04561593,0.0014773977,0.0026484318,0.0017837835,0.0018883133,0.009521766,0.0094908895,0.0020649838,0.0043346663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022124932,0.0015343846,0.02182637,0.002634956,0.00067904836,0.0017408273,0.0030236365,0.04602041,0.015984373,0.32495543,0.031767175,0.5476209],"study_design_scores_gemma":[0.0003894205,0.0001285285,0.0032474461,0.0005202327,0.0002845394,0.0006940245,0.00065798487,0.6141558,0.034709316,0.26968357,0.07536719,0.00016188441],"about_ca_topic_score_codex":0.002440606,"about_ca_topic_score_gemma":0.004418657,"teacher_disagreement_score":0.012859007,"about_ca_system_score_codex":0.0013871302,"about_ca_system_score_gemma":0.0025550616,"threshold_uncertainty_score":0.06800574},"labels":[],"label_agreement":null},{"id":"W4402243581","doi":"10.34190/eckm.25.1.2421","title":"Developing a Model of Knowledge Transactions: A Critical Review of Background Theories","year":2024,"lang":"en","type":"review","venue":"European Conference on Knowledge Management","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data science; Knowledge management","score_opus":0.24067072856794594,"score_gpt":0.3990547417713031,"score_spread":0.15838401320335718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402243581","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00059084885,0.96748155,0.01301963,0.008632563,0.00046498398,0.000040600993,0.000060895276,0.000028530698,0.009680342],"genre_scores_gemma":[0.010322056,0.980949,0.006060147,0.0013546521,0.00047197958,0.00008791961,0.00009264427,0.000013931892,0.00064769055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997738,0.0008977243,0.0002511094,0.00028883468,0.00072175456,0.00010260946],"domain_scores_gemma":[0.9909129,0.0074133663,0.00036242037,0.00021935605,0.0009838303,0.0001080843],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0052778404,0.0014345372,0.0018315582,0.009657302,0.0013547763,0.005040416,0.0028520473,0.003570404,0.0032300288],"category_scores_gemma":[0.008657174,0.000984224,0.001093195,0.012947819,0.005863951,0.011948583,0.001702071,0.0053660567,0.0016804361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033475637,0.00008842489,0.0004872138,0.014677426,0.00009543128,0.00027623487,0.0011094917,0.0057076346,0.00022051623,0.63136536,0.019574454,0.3263644],"study_design_scores_gemma":[0.000014080971,0.000054742897,0.0010460782,0.02245579,0.0001224288,0.0006721895,0.0012414753,0.0049630576,0.00031939032,0.38108435,0.5879423,0.000084051295],"about_ca_topic_score_codex":0.01122193,"about_ca_topic_score_gemma":0.006929327,"teacher_disagreement_score":0.99864525,"about_ca_system_score_codex":0.007964549,"about_ca_system_score_gemma":0.009483075,"threshold_uncertainty_score":0.05778712},"labels":[],"label_agreement":null},{"id":"W4402264695","doi":"10.1109/tqcebt59414.2024.10545114","title":"Cross-Domain Ontology Synthesis for Semantic Web Integration: A Neural Network Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Ontology; Semantic Web; Domain (mathematical analysis); Ontology Inference Layer; Information retrieval; OWL-S; Ontology-based data integration; Artificial neural network; Semantic Web Stack; World Wide Web; Artificial intelligence","score_opus":0.030737569139447793,"score_gpt":0.2888458954445431,"score_spread":0.2581083263050953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402264695","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024107117,0.00036587712,0.9720248,0.00027018588,0.000034110664,0.000058545415,0.00010392244,0.00088178104,0.0021536371],"genre_scores_gemma":[0.60847574,0.0005856809,0.3864727,0.00024455125,0.000046212353,0.00015748016,0.0007668418,0.00013028114,0.0031204661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944836,0.00012079941,0.00004560985,0.00017272556,0.00015145197,0.000061033308],"domain_scores_gemma":[0.9994124,0.00023229298,0.00007889251,0.000092914655,0.00015530833,0.000028100121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012807016,0.00070952676,0.0006068644,0.0017435314,0.00046082,0.0013283766,0.0011916868,0.0009411272,0.0012900702],"category_scores_gemma":[0.0028523267,0.00033126064,0.00085296115,0.0015297534,0.0005663475,0.0027598054,0.0017992868,0.0011827203,0.00040017653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018210137,0.0002862212,0.003244524,0.00019639632,0.00027573216,0.00026315489,0.0002936671,0.4922014,0.018906562,0.032064278,0.0023703217,0.4497156],"study_design_scores_gemma":[0.0000036790377,0.00001468322,0.00024433114,0.000011881765,0.000029495961,0.000023992216,0.000033599586,0.98253995,0.003124928,0.012907417,0.0010595416,0.0000063708144],"about_ca_topic_score_codex":0.0060118535,"about_ca_topic_score_gemma":0.006783802,"teacher_disagreement_score":0.0060118535,"about_ca_system_score_codex":0.0011313942,"about_ca_system_score_gemma":0.00103803,"threshold_uncertainty_score":0.0119537115},"labels":[],"label_agreement":null},{"id":"W4402265624","doi":"10.1109/tqcebt59414.2024.10545210","title":"Advanced Graph Convolutional Networks for Semantic Relationship Mining in Large-Scale Ontologies","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Graph; Scale (ratio); Natural language processing; Artificial intelligence; Information retrieval; Data science; Theoretical computer science; Cartography; Geography","score_opus":0.02830251607986104,"score_gpt":0.2838059412514553,"score_spread":0.25550342517159425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402265624","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0311529,0.000494962,0.9641831,0.00038464906,0.000038917373,0.000059433543,0.000288654,0.0013449471,0.0020525448],"genre_scores_gemma":[0.52980775,0.0008780273,0.46399912,0.00029071252,0.000054606804,0.00012015199,0.0018482116,0.00012705183,0.0028742428],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953043,0.00009333552,0.000026577723,0.00013444955,0.00015212467,0.00006309889],"domain_scores_gemma":[0.99926466,0.00029779426,0.00010384307,0.00014903373,0.0001466289,0.000038033893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082963466,0.0006857799,0.0004255936,0.0018321918,0.000625923,0.0010199818,0.0011847257,0.0006810264,0.0011264237],"category_scores_gemma":[0.002858772,0.0002725974,0.00073122705,0.0023489133,0.0006689209,0.0024828955,0.0013403287,0.0011139017,0.0003362694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015554336,0.00022869257,0.0071808537,0.00027841932,0.00026971713,0.00033307145,0.00034471072,0.31240198,0.01665122,0.08766435,0.0086345505,0.56585693],"study_design_scores_gemma":[0.0000037268696,0.000016587013,0.0008024005,0.000015137733,0.000026830592,0.00004911824,0.000042242824,0.95164835,0.0029961795,0.041446287,0.0029447444,0.000008326932],"about_ca_topic_score_codex":0.016237568,"about_ca_topic_score_gemma":0.03009095,"teacher_disagreement_score":0.016237568,"about_ca_system_score_codex":0.001391189,"about_ca_system_score_gemma":0.0012671594,"threshold_uncertainty_score":0.032286108},"labels":[],"label_agreement":null},{"id":"W4402449838","doi":"10.26599/tst.2023.9010145","title":"Improve GMRACCF Qualifications via Collaborative Filtering in Vehicle Sales Chain","year":2024,"lang":"en","type":"article","venue":"Tsinghua Science & Technology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Business; Chain (unit); Automotive engineering; Computer science; Manufacturing engineering; Engineering; Physics","score_opus":0.014688613871405324,"score_gpt":0.29413361081516287,"score_spread":0.2794449969437576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402449838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04949202,0.00021361577,0.94661534,0.0002275032,0.00004608324,0.00014486961,0.000070479015,0.00043595655,0.0027540573],"genre_scores_gemma":[0.75876725,0.00025985902,0.23824129,0.00017109765,0.000059112288,0.00019254223,0.000358252,0.00008566855,0.0018649414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.993554,0.0015940279,0.00048773456,0.0012795347,0.0022622994,0.00082240754],"domain_scores_gemma":[0.9906136,0.0036359334,0.0009868176,0.00062817964,0.0036946,0.0004409336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059983274,0.0012369356,0.0020833483,0.004114286,0.0029842574,0.0026484167,0.0020554469,0.0018220043,0.002536187],"category_scores_gemma":[0.019815598,0.00051547075,0.0015816408,0.0033221706,0.001291246,0.004791275,0.002292015,0.001246666,0.0003579898],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036640585,0.00039396642,0.009189949,0.0003703191,0.00013027091,0.00023166032,0.00090807,0.592763,0.004811776,0.02759157,0.0038857104,0.35935733],"study_design_scores_gemma":[0.000024179359,0.000084706226,0.0010160769,0.000020501802,0.00004151237,0.00003926311,0.0001849607,0.98691654,0.0015883616,0.009001998,0.0010521457,0.000029710474],"about_ca_topic_score_codex":0.035442885,"about_ca_topic_score_gemma":0.01892738,"teacher_disagreement_score":0.035442885,"about_ca_system_score_codex":0.002884993,"about_ca_system_score_gemma":0.00510174,"threshold_uncertainty_score":0.070473194},"labels":[],"label_agreement":null},{"id":"W4402452659","doi":"10.11159/cist24.143","title":"Using Linked Data to Build Semantic Web Applications: A Case Study","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Semantic Web; Social Semantic Web; Linked data; Semantic analytics; Semantic Web Stack; World Wide Web; Information retrieval; Semantic computing","score_opus":0.038381750943913946,"score_gpt":0.288317692605178,"score_spread":0.24993594166126404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402452659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85514575,0.0008967256,0.09488611,0.006148584,0.00013351461,0.0013300308,0.0009226417,0.001318071,0.039218564],"genre_scores_gemma":[0.8006119,0.0010973064,0.18752538,0.0006626891,0.000045970617,0.00045163807,0.0007009221,0.0003894879,0.008514693],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938898,0.0037636925,0.00029249644,0.00030296098,0.0014193308,0.00033168503],"domain_scores_gemma":[0.9918407,0.005856999,0.00028772862,0.00070728775,0.0007941231,0.0005131945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069179665,0.0004763744,0.0003315589,0.0017543848,0.0025793824,0.0032531004,0.001974537,0.0031288245,0.0014944944],"category_scores_gemma":[0.010570104,0.00039057966,0.00074625976,0.0028219393,0.0022200623,0.0043858043,0.0028352665,0.0017303819,0.00051213487],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012288754,0.007044353,0.06882259,0.0034016115,0.00034660334,0.09837748,0.119897485,0.06285159,0.038596917,0.19458608,0.042686403,0.36215997],"study_design_scores_gemma":[0.00053631543,0.0017422742,0.022237398,0.0011755334,0.00021801826,0.02328571,0.08212616,0.1569987,0.07061264,0.042609088,0.5981968,0.00026140394],"about_ca_topic_score_codex":0.007021849,"about_ca_topic_score_gemma":0.014631405,"teacher_disagreement_score":0.007021849,"about_ca_system_score_codex":0.0020701136,"about_ca_system_score_gemma":0.0015598722,"threshold_uncertainty_score":0.036586165},"labels":[],"label_agreement":null},{"id":"W4402469884","doi":"10.1016/j.dss.2024.114327","title":"Effective presentation of ontological overlap of multiple conceptual models","year":2024,"lang":"en","type":"article","venue":"Decision Support Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Einstein Stiftung Berlin","keywords":"Presentation (obstetrics); Computer science; Epistemology; Philosophy; Medicine","score_opus":0.04705258154734277,"score_gpt":0.3108324587479665,"score_spread":0.26377987720062374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402469884","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39326808,0.001390032,0.56859285,0.0045970203,0.00039277787,0.00081582373,0.0004950855,0.0057482515,0.024700098],"genre_scores_gemma":[0.67572635,0.00055573945,0.31870475,0.00054516096,0.00010517603,0.00047518278,0.00045699626,0.00043919947,0.0029914093],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99671364,0.002067056,0.00016831244,0.00025159333,0.00063199474,0.0001673561],"domain_scores_gemma":[0.97185147,0.021656012,0.0014449965,0.002714945,0.0016625464,0.0006700608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005405118,0.0012868887,0.0006621384,0.00141725,0.0006437019,0.002851414,0.0012957273,0.001552546,0.010216555],"category_scores_gemma":[0.03365965,0.00051666755,0.0008665018,0.00074846257,0.000875225,0.009956069,0.0062899105,0.0017283058,0.0009434992],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003746452,0.0012709105,0.009218253,0.0042159627,0.00024433734,0.0027590299,0.04918472,0.010749232,0.17241232,0.123271585,0.019843047,0.6030841],"study_design_scores_gemma":[0.0013813496,0.0027975307,0.016224492,0.0029721395,0.001188709,0.0029425712,0.023027722,0.2133191,0.12461319,0.23885557,0.3720263,0.00065137364],"about_ca_topic_score_codex":0.0004361034,"about_ca_topic_score_gemma":0.00062592985,"teacher_disagreement_score":0.010216555,"about_ca_system_score_codex":0.00085342576,"about_ca_system_score_gemma":0.0014304918,"threshold_uncertainty_score":0.03417784},"labels":[],"label_agreement":null},{"id":"W4402635420","doi":"10.1080/1941126x.2024.2390808","title":"OpenAthens and the Ironies of Automation: Have we made things harder by making them easier?","year":2024,"lang":"en","type":"article","venue":"Journal of Electronic Resources Librarianship","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Automation; Computer science; World Wide Web; Engineering; Mechanical engineering","score_opus":0.01866270086947303,"score_gpt":0.23734080410453243,"score_spread":0.2186781032350594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402635420","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002490218,0.34456295,0.019712215,0.31409767,0.06555438,0.000075113036,0.0002330312,0.0009804798,0.25229394],"genre_scores_gemma":[0.055693064,0.3861391,0.027560553,0.11087081,0.055597037,0.0002292064,0.0008312417,0.0024820731,0.36059687],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9915854,0.0027590925,0.0005245395,0.00045338087,0.004297314,0.0003803535],"domain_scores_gemma":[0.9729143,0.014712857,0.0012585773,0.0016230042,0.0081260335,0.0013651433],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006844024,0.00048923836,0.0008241271,0.0031424342,0.0035308579,0.013358699,0.0011339037,0.0030589418,0.03241684],"category_scores_gemma":[0.032886762,0.00047189533,0.00071627164,0.0031004234,0.0064380625,0.025402788,0.0034681915,0.006869534,0.011550275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042467615,0.000029557397,0.0003813249,0.0010316251,0.000029795156,0.00012634986,0.0012227464,0.00008387988,0.00036798866,0.1538591,0.57768357,0.26514155],"study_design_scores_gemma":[0.000002374896,0.0000073192564,0.00026023207,0.0004992221,0.00000731881,0.000110224595,0.00042060448,0.000032473323,0.0000953606,0.02384573,0.9747087,0.000010461],"about_ca_topic_score_codex":0.0023783024,"about_ca_topic_score_gemma":0.00677206,"teacher_disagreement_score":0.9866413,"about_ca_system_score_codex":0.0020620555,"about_ca_system_score_gemma":0.00392189,"threshold_uncertainty_score":0.10844517},"labels":[],"label_agreement":null},{"id":"W4402683979","doi":"10.18653/v1/2024.acl-short.20","title":"DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México; Indian Institute of Technology Delhi; Institute for Catastrophic Loss Reduction","keywords":"Computer science; Knowledge graph; Graph; Artificial intelligence; Information retrieval; Natural language processing; Theoretical computer science","score_opus":0.031202691623033286,"score_gpt":0.28754016754704015,"score_spread":0.25633747592400685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402683979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05541353,0.0032525882,0.8650362,0.0012313633,0.0003825026,0.0004557496,0.004383944,0.06476436,0.005079764],"genre_scores_gemma":[0.40019703,0.0007296629,0.56358266,0.0010352636,0.00017684334,0.000540558,0.023845717,0.002249216,0.00764308],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980331,0.0006667883,0.000084705665,0.0006959374,0.0003651006,0.00015433163],"domain_scores_gemma":[0.9956797,0.0021021673,0.00015629038,0.0012653044,0.00057776313,0.00021876775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037632268,0.0022934265,0.0018979153,0.0028611775,0.00094812794,0.0020781087,0.0047331895,0.0024350688,0.0045526978],"category_scores_gemma":[0.012260732,0.00088274176,0.001357214,0.0017730285,0.0009080548,0.0055189957,0.0034608885,0.003498832,0.0025495102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007688227,0.00083915243,0.006659697,0.0007560231,0.00060544687,0.000357275,0.00040874406,0.34429133,0.007578736,0.015361837,0.07653235,0.54584056],"study_design_scores_gemma":[0.000028493621,0.000057650333,0.000212569,0.000020147107,0.000022681445,0.00004863969,0.000027985949,0.9866551,0.0016506894,0.007623166,0.0036377856,0.00001515632],"about_ca_topic_score_codex":0.017304368,"about_ca_topic_score_gemma":0.036068264,"teacher_disagreement_score":0.017304368,"about_ca_system_score_codex":0.0020812885,"about_ca_system_score_gemma":0.0021259754,"threshold_uncertainty_score":0.034407258},"labels":[],"label_agreement":null},{"id":"W4402684225","doi":"10.18653/v1/2024.findings-acl.189","title":"Concept-Best-Matching: Evaluating Compositionality In Emergent Communication","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation; Open Philanthropy Project","keywords":"Principle of compositionality; Computer science; Matching (statistics); Natural language processing; Artificial intelligence; Mathematics; Statistics","score_opus":0.07255226108626564,"score_gpt":0.3805122086814174,"score_spread":0.3079599475951518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402684225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3875531,0.0014600105,0.5991298,0.0005095026,0.00023461774,0.0009836508,0.00082983426,0.0019858263,0.0073137423],"genre_scores_gemma":[0.77447903,0.00018918404,0.22239059,0.00015296604,0.000053248397,0.00048835267,0.0012469399,0.00020145778,0.0007982588],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98979723,0.0053337836,0.00092279905,0.0012943677,0.0022531329,0.00039871896],"domain_scores_gemma":[0.95981514,0.031958207,0.0022966724,0.002415331,0.002571928,0.0009427117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016455026,0.0015362143,0.001432128,0.0041763657,0.0012546566,0.0023772109,0.0017573929,0.0027454528,0.0032971967],"category_scores_gemma":[0.07358398,0.0002970627,0.0014242303,0.0024248012,0.0016439682,0.005193683,0.0034404788,0.0015713113,0.00064089027],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005946963,0.001632997,0.06434111,0.0019832589,0.0017106872,0.0004479753,0.0022897378,0.2429031,0.011854549,0.026821764,0.0058255075,0.6342424],"study_design_scores_gemma":[0.00024139203,0.0013023979,0.0087479185,0.00011834714,0.00025798142,0.00028970907,0.0008283875,0.905912,0.010859787,0.06936668,0.0019828274,0.00009260912],"about_ca_topic_score_codex":0.00220078,"about_ca_topic_score_gemma":0.002199171,"teacher_disagreement_score":0.016455026,"about_ca_system_score_codex":0.001403834,"about_ca_system_score_gemma":0.0018749464,"threshold_uncertainty_score":0.087023556},"labels":[],"label_agreement":null},{"id":"W4402809913","doi":"10.3233/ssw240024","title":"UniPart: Optimizing Streaming Graph Partitioning Towards Universal Adaption in RDF Triple Stores","year":2024,"lang":"en","type":"book-chapter","venue":"Studies on the semantic web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; RDF; Graph; Theoretical computer science; World Wide Web; Semantic Web","score_opus":0.050938674495592695,"score_gpt":0.2705466778784327,"score_spread":0.21960800338283998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402809913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11356863,0.0011049804,0.8233463,0.0005450418,0.00022558103,0.00057462114,0.0034984935,0.04803682,0.00909949],"genre_scores_gemma":[0.20674613,0.00043771396,0.7745818,0.00017245687,0.00004038639,0.00030149068,0.010569077,0.0029915418,0.0041593295],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936527,0.00012384795,0.000052235227,0.00016425001,0.0002342128,0.00006030665],"domain_scores_gemma":[0.9988487,0.00034640558,0.000059108348,0.00046465918,0.00021908032,0.00006214306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082086003,0.0010799869,0.0005162312,0.0011741252,0.0009781735,0.0015363035,0.0022700042,0.0006622056,0.0030957519],"category_scores_gemma":[0.0032626558,0.0005200794,0.0009666589,0.0019069576,0.0005511359,0.0033687877,0.0019829746,0.00086052995,0.0013023138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006852268,0.0004371692,0.004766981,0.0007934826,0.00020886122,0.00047686772,0.00079891697,0.15990989,0.054388355,0.025755558,0.07400799,0.6777707],"study_design_scores_gemma":[0.00008875315,0.00009646328,0.0011473036,0.000044848082,0.00004761894,0.00029044173,0.00046945646,0.9247644,0.033083297,0.017868826,0.02205866,0.00003988901],"about_ca_topic_score_codex":0.010687247,"about_ca_topic_score_gemma":0.019241298,"teacher_disagreement_score":0.010687247,"about_ca_system_score_codex":0.0009839409,"about_ca_system_score_gemma":0.0013675862,"threshold_uncertainty_score":0.02125007},"labels":[],"label_agreement":null},{"id":"W4402821732","doi":"10.46298/jdmdh.12520","title":"Temporal Sequencing of Documents","year":2024,"lang":"en","type":"article","venue":"Journal of Data Mining & Digital Humanities","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computational biology; Information retrieval; Biology","score_opus":0.1301717141655876,"score_gpt":0.31885139752208425,"score_spread":0.18867968335649665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402821732","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061297644,0.0007969602,0.91399455,0.0004613895,0.00021009674,0.00051054364,0.0066112336,0.004411623,0.011705852],"genre_scores_gemma":[0.19552419,0.00046495805,0.78369254,0.00012875684,0.00014331653,0.0005707522,0.011353671,0.0008909656,0.007230924],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754333,0.0005386423,0.00021332937,0.00068251434,0.000885337,0.00013684534],"domain_scores_gemma":[0.9926179,0.0023558983,0.0005972918,0.001512151,0.0026052895,0.00031146486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015877306,0.00064531487,0.00062780705,0.0047929445,0.0013207487,0.0019788407,0.0010586729,0.0004989595,0.004829048],"category_scores_gemma":[0.013405388,0.0005462496,0.0006463157,0.0056251204,0.0005215108,0.002426075,0.0012983456,0.0012322577,0.002684092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055842556,0.0002902588,0.013213673,0.0005368675,0.000097513956,0.00038944738,0.0016438651,0.029078778,0.028029256,0.04666984,0.021757612,0.8577344],"study_design_scores_gemma":[0.0001018156,0.00029890955,0.0200992,0.00025259514,0.00019985961,0.0014799715,0.0015261559,0.53930646,0.05295849,0.1644429,0.21912979,0.0002038736],"about_ca_topic_score_codex":0.0075254426,"about_ca_topic_score_gemma":0.017844327,"teacher_disagreement_score":0.0075254426,"about_ca_system_score_codex":0.00097215717,"about_ca_system_score_gemma":0.0027228117,"threshold_uncertainty_score":0.016154766},"labels":[],"label_agreement":null},{"id":"W4403048921","doi":"10.54337/nlc.v11.8806","title":"Symposium 2: Virtual networks and the new definition of Knowledge","year":2018,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Networked Learning","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Assiniboine Community College","funders":"","keywords":"Computer science; Knowledge management","score_opus":0.028544318770515737,"score_gpt":0.25246731472869816,"score_spread":0.2239229959581824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403048921","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015058918,0.07164951,0.045402046,0.16159591,0.014405635,0.00007627595,0.00021035694,0.00014871826,0.6914526],"genre_scores_gemma":[0.6646835,0.05314926,0.017357815,0.024978016,0.014694128,0.0004143691,0.00026212583,0.0003305454,0.22413008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975854,0.0012693334,0.000083352315,0.00039762512,0.0004110033,0.00025327146],"domain_scores_gemma":[0.998321,0.0009647359,0.00015329388,0.00016135522,0.00019814899,0.00020151389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023773795,0.00055540155,0.00039921497,0.0017490376,0.004356608,0.011548713,0.0010409688,0.005436103,0.007856922],"category_scores_gemma":[0.0024995927,0.00032002447,0.00066909986,0.0018376216,0.015941408,0.015102294,0.0047736745,0.005409945,0.0009702348],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006215155,0.0000037435007,0.000078224766,0.00004377533,0.0000016194039,0.000048736278,0.0020747734,0.00012549123,0.00007510114,0.9812344,0.011739088,0.0045688106],"study_design_scores_gemma":[0.0000058433916,0.00001779331,0.00031709703,0.00029173124,0.0000074901013,0.00027584398,0.0028892534,0.00046786986,0.00022997032,0.47118747,0.5242879,0.000021652502],"about_ca_topic_score_codex":0.003404204,"about_ca_topic_score_gemma":0.0035096202,"teacher_disagreement_score":0.011548713,"about_ca_system_score_codex":0.0048075165,"about_ca_system_score_gemma":0.003149852,"threshold_uncertainty_score":0.034881115},"labels":[],"label_agreement":null},{"id":"W4403210636","doi":"10.1109/tse.2024.3475375","title":"Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Science Foundation Ireland","keywords":"Computer science; Logging; Statement (logic); Empirical research; Data science; Software engineering; Computer security; Risk analysis (engineering); Business; Forestry; Statistics; Political science","score_opus":0.07912131087874133,"score_gpt":0.3136969886310401,"score_spread":0.2345756777522988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403210636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98036045,0.0012700368,0.00503933,0.0007787839,0.000041838954,0.0004294802,0.0055494597,0.0034958657,0.0030347113],"genre_scores_gemma":[0.9391948,0.000539251,0.03411618,0.00038343464,0.000037544734,0.00047429683,0.023581017,0.0005031043,0.0011704847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98821825,0.006539221,0.0009905623,0.0018610811,0.0020934658,0.00029732403],"domain_scores_gemma":[0.7797922,0.18560392,0.010135733,0.013274808,0.008808848,0.0023845688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015387476,0.0008260766,0.0005586838,0.0023370853,0.00088689185,0.0023839762,0.0021273457,0.0015383104,0.001520216],"category_scores_gemma":[0.11772216,0.0005278798,0.0007531465,0.0018763347,0.001103898,0.004699909,0.0014343652,0.0024311533,0.0013097023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00509445,0.010206451,0.4711172,0.004957317,0.00058734306,0.00076516723,0.009014988,0.023804773,0.011512727,0.0023338941,0.051176056,0.40942964],"study_design_scores_gemma":[0.0019418319,0.0075665363,0.40298235,0.0014578394,0.0010578561,0.0017818308,0.011640527,0.4447099,0.032160994,0.0068596816,0.0874034,0.00043723045],"about_ca_topic_score_codex":0.005033328,"about_ca_topic_score_gemma":0.0067816563,"teacher_disagreement_score":0.015387476,"about_ca_system_score_codex":0.001094079,"about_ca_system_score_gemma":0.0016112346,"threshold_uncertainty_score":0.081377745},"labels":[],"label_agreement":null},{"id":"W4403331826","doi":"10.23919/fusion59988.2024.10706495","title":"KnFu: Effective Knowledge Fusion","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Fusion","score_opus":0.01137174873722901,"score_gpt":0.27761851098292933,"score_spread":0.2662467622457003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403331826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026942069,0.0011656256,0.95862156,0.00053589814,0.00008846828,0.00021556191,0.0004961672,0.0071806195,0.004753959],"genre_scores_gemma":[0.61146283,0.0004893519,0.38085613,0.00060666347,0.00007104614,0.00027889706,0.0018011361,0.00022898658,0.004204899],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99644357,0.0006553574,0.0002397903,0.0008885528,0.0013491885,0.0004234771],"domain_scores_gemma":[0.9972162,0.0007769064,0.00021019435,0.0010325961,0.00061137305,0.00015270105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029246898,0.0014964823,0.0022471554,0.0024364998,0.0014923548,0.002443346,0.0038260971,0.0024866762,0.0031401797],"category_scores_gemma":[0.008780595,0.0005451553,0.0011471632,0.002184623,0.0016141689,0.0068782833,0.005704985,0.0022529638,0.0011335728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005963749,0.0003723586,0.0020653366,0.00024861968,0.00021736135,0.0003314706,0.00047650037,0.25523487,0.0073110713,0.027020738,0.015418503,0.69070685],"study_design_scores_gemma":[0.000052078154,0.000124455,0.00040205842,0.0000369437,0.000051205134,0.00018217933,0.00013480583,0.9277927,0.0077251336,0.058106337,0.0053506047,0.000041505165],"about_ca_topic_score_codex":0.009172231,"about_ca_topic_score_gemma":0.008326958,"teacher_disagreement_score":0.009172231,"about_ca_system_score_codex":0.0019647905,"about_ca_system_score_gemma":0.003150503,"threshold_uncertainty_score":0.01823771},"labels":[],"label_agreement":null},{"id":"W4403407506","doi":"10.1007/978-3-031-64277-7_6","title":"New Methods for Recognizing and Resolving Contradictions in Knowledge","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Peter's Hospital","funders":"","keywords":"Computer science; Epistemology; Data science; Philosophy","score_opus":0.1174512835777975,"score_gpt":0.4239349572169396,"score_spread":0.3064836736391421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403407506","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013940549,0.0011660879,0.9907203,0.0003855764,0.00015703561,0.00008339191,0.00017534132,0.0006785183,0.005239732],"genre_scores_gemma":[0.019098194,0.0009150114,0.9735544,0.00013205568,0.00010366534,0.00015918932,0.0003919564,0.00012399688,0.0055216122],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99655765,0.00066429656,0.00036528768,0.0007487829,0.0015691586,0.000094661846],"domain_scores_gemma":[0.99025273,0.007015078,0.00044928148,0.0010986816,0.0010604813,0.00012366087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039264155,0.0013194644,0.0012513603,0.0058441176,0.0011196816,0.006521461,0.0031256834,0.0015946287,0.009126353],"category_scores_gemma":[0.014174897,0.0011058189,0.0016298494,0.0045075775,0.0032349376,0.011859886,0.0037900405,0.0032513058,0.0020101182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006408613,0.000081122555,0.00092349754,0.0007554646,0.00015082816,0.00020516913,0.001136189,0.006919488,0.0033418282,0.3277634,0.013612019,0.64504695],"study_design_scores_gemma":[0.000040903582,0.000026672778,0.000710362,0.00033593932,0.0001536629,0.000600585,0.0008185216,0.15645398,0.008122157,0.7389511,0.093710504,0.00007561731],"about_ca_topic_score_codex":0.0030204856,"about_ca_topic_score_gemma":0.005646841,"teacher_disagreement_score":0.009126353,"about_ca_system_score_codex":0.0014943101,"about_ca_system_score_gemma":0.0015361821,"threshold_uncertainty_score":0.03053075},"labels":[],"label_agreement":null},{"id":"W4403656793","doi":"10.1007/s10462-024-10996-9","title":"Counterfactuals in fuzzy relational models","year":2024,"lang":"en","type":"article","venue":"Artificial Intelligence Review","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Sultan Qaboos University","keywords":"Counterfactual conditional; Computer science; Fuzzy logic; Artificial intelligence; Econometrics; Mathematics; Counterfactual thinking; Epistemology; Philosophy","score_opus":0.16407664457364365,"score_gpt":0.35601444126017767,"score_spread":0.19193779668653402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403656793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022459498,0.0017834875,0.9560513,0.003675878,0.00011984319,0.00006820297,0.00013534915,0.00009983342,0.015606602],"genre_scores_gemma":[0.75386494,0.0017582653,0.24025953,0.0004249959,0.00020474763,0.00021858241,0.00021439244,0.00004804311,0.0030065216],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9925982,0.0049169133,0.000358497,0.00057460234,0.0013255709,0.00022612495],"domain_scores_gemma":[0.9884544,0.008397876,0.0011375953,0.001055274,0.00078018825,0.00017471937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010396567,0.0007355343,0.0009664835,0.0026846244,0.0008925853,0.004284046,0.0020780386,0.002155775,0.0030715156],"category_scores_gemma":[0.016111134,0.00048750432,0.0018399511,0.00253809,0.0064297533,0.0057340157,0.0026810213,0.002679377,0.0002537673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005206929,0.000005298781,0.00006692863,0.000022410159,0.000013322137,0.000040877625,0.000090836395,0.013262211,0.000044237833,0.98439264,0.00015455091,0.0019015529],"study_design_scores_gemma":[0.0000071541976,0.0000048129323,0.000039560568,0.00002934953,0.00000652056,0.000018902823,0.000037595157,0.060164787,0.00009563014,0.93798214,0.0016066994,0.000006786494],"about_ca_topic_score_codex":0.0028039212,"about_ca_topic_score_gemma":0.0023815755,"teacher_disagreement_score":0.010396567,"about_ca_system_score_codex":0.0025888644,"about_ca_system_score_gemma":0.0011488529,"threshold_uncertainty_score":0.05498296},"labels":[],"label_agreement":null},{"id":"W4403674644","doi":"10.1109/taslp.2024.3485500","title":"Learning Dynamic and Static Representations for Extrapolation-Based Temporal Knowledge Graph Reasoning","year":2024,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Audio Speech and Language Processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"China Postdoctoral Science Foundation","keywords":"Extrapolation; Computer science; Graph; Opportunistic reasoning; Model-based reasoning; Qualitative reasoning; Knowledge graph; Knowledge representation and reasoning; Artificial intelligence; Machine learning; Theoretical computer science; Mathematics","score_opus":0.01505390463187246,"score_gpt":0.31154105200977017,"score_spread":0.2964871473778977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403674644","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03618225,0.0015386213,0.9491018,0.0009878837,0.000113548835,0.0001354349,0.002901585,0.006710399,0.002328427],"genre_scores_gemma":[0.63109404,0.0014296885,0.34758297,0.0006794343,0.00012849795,0.00022298431,0.013737879,0.00041598052,0.0047085527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99881786,0.00021093109,0.00008386795,0.00055394514,0.00024165155,0.000091720314],"domain_scores_gemma":[0.99793565,0.001036752,0.00020734969,0.00047520883,0.00026257816,0.00008245905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014396063,0.0014822306,0.0012671184,0.002389177,0.000593728,0.001646368,0.003905441,0.0019679843,0.0026994518],"category_scores_gemma":[0.0063072653,0.00076021405,0.0021300542,0.0027146898,0.00080931815,0.0065806755,0.0017262413,0.0034813709,0.0012009386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025190544,0.0002949216,0.0036687327,0.00026653806,0.00018441894,0.00029356734,0.00027963973,0.61715144,0.002551736,0.020993503,0.012978385,0.34108528],"study_design_scores_gemma":[0.000008828882,0.000011656557,0.00019335622,0.000013612049,0.00002080947,0.00003315578,0.00002046974,0.9822171,0.0005103224,0.015941009,0.0010215612,0.000008199215],"about_ca_topic_score_codex":0.021122415,"about_ca_topic_score_gemma":0.028787686,"teacher_disagreement_score":0.021122415,"about_ca_system_score_codex":0.002220336,"about_ca_system_score_gemma":0.0017498527,"threshold_uncertainty_score":0.041998982},"labels":[],"label_agreement":null},{"id":"W4403813272","doi":"10.5121/csit.2024.141720","title":"Data-Centric Design: Introducing An Informatics Domain Model And Core Data Ontology For Computational Systems","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Ontology; Computer science; Informatics; Domain (mathematical analysis); Core (optical fiber); Health informatics; Data science; Software engineering; Engineering","score_opus":0.3052144661666902,"score_gpt":0.2640335026328793,"score_spread":0.0411809635338109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403813272","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017448685,0.00057984056,0.97824794,0.004291678,0.00029386434,0.00012794299,0.00016760723,0.0002423316,0.014303977],"genre_scores_gemma":[0.08595689,0.0016582517,0.90229297,0.0018395339,0.00033033293,0.00083365757,0.00062851456,0.00022019772,0.006239664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99567956,0.0017852162,0.00051734294,0.0006039144,0.0011136739,0.0003002943],"domain_scores_gemma":[0.9962453,0.0011898844,0.0002913959,0.0012158414,0.000702373,0.0003551556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074456763,0.00075267686,0.00072894496,0.003609249,0.002504192,0.00957496,0.0029070654,0.0025336503,0.002384338],"category_scores_gemma":[0.008333319,0.00095654494,0.0019475725,0.00419005,0.0103590805,0.015979541,0.007420663,0.0057139616,0.0012445464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004527617,0.000012055949,0.00013445543,0.000047230486,0.0000063239627,0.00004216544,0.0004106578,0.0009716859,0.00030606653,0.9899177,0.0012120514,0.0069351266],"study_design_scores_gemma":[0.000013184561,0.000018903886,0.00014366944,0.00018569703,0.000020217973,0.00021642976,0.0004987129,0.017779423,0.0013119683,0.8058689,0.17391771,0.000025103092],"about_ca_topic_score_codex":0.005346846,"about_ca_topic_score_gemma":0.004552873,"teacher_disagreement_score":0.00957496,"about_ca_system_score_codex":0.0041285846,"about_ca_system_score_gemma":0.0073467377,"threshold_uncertainty_score":0.039376974},"labels":[],"label_agreement":null},{"id":"W4403874483","doi":"10.3390/data9110125","title":"Enhancing Access Across Europe for Documents Published According to Freedom of Information Act: Applying Woogle Design and Technique to Estonian Public Information Act Document","year":2024,"lang":"en","type":"article","venue":"Data","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute of Steel Construction","keywords":"Estonian; Freedom of information; Public access; Political science; Computer science; Information retrieval; Public information; World Wide Web; Public administration; Law; Linguistics","score_opus":0.04938026663383825,"score_gpt":0.3405888488246131,"score_spread":0.29120858219077483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403874483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69226146,0.0009730043,0.24889079,0.0018142074,0.00006828136,0.0015176234,0.0042417776,0.004374705,0.04585821],"genre_scores_gemma":[0.7313364,0.00074229157,0.24887794,0.0002008366,0.000015667556,0.0010084421,0.0062660817,0.0006495072,0.010902726],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99319816,0.00362912,0.0008778991,0.00087754044,0.0010726252,0.0003447098],"domain_scores_gemma":[0.979791,0.010621977,0.0018242974,0.0044534225,0.002795908,0.0005132806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009749326,0.00031915915,0.00045935865,0.0074514616,0.0019923996,0.007549821,0.0009006535,0.0006389067,0.0017685225],"category_scores_gemma":[0.022760285,0.00042169166,0.0007342642,0.008456775,0.0021518706,0.005859125,0.0059634084,0.00074691535,0.0005736617],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001658966,0.00089950353,0.058798347,0.0023093517,0.00026655197,0.0031407664,0.09944136,0.01263166,0.023673281,0.12049969,0.0131169325,0.6635637],"study_design_scores_gemma":[0.00024612367,0.0008698357,0.14906693,0.0023083142,0.0006344811,0.0026649537,0.12201063,0.075760625,0.07496322,0.062452137,0.5085453,0.00047746435],"about_ca_topic_score_codex":0.013426575,"about_ca_topic_score_gemma":0.018071704,"teacher_disagreement_score":0.013426575,"about_ca_system_score_codex":0.0021494543,"about_ca_system_score_gemma":0.0034777808,"threshold_uncertainty_score":0.051559985},"labels":[],"label_agreement":null},{"id":"W4404373029","doi":"10.1037/xge0001684","title":"Shortcuts to insincerity: Texting abbreviations seem insincere and not worth answering.","year":2024,"lang":"en","type":"article","venue":"Journal of Experimental Psychology General","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Psychology; Communication; Cognitive psychology; Cognitive science","score_opus":0.034784744967636984,"score_gpt":0.36876080144092666,"score_spread":0.33397605647328965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404373029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832093,0.0004540113,0.0008400675,0.0018091616,0.00019662354,0.000054778702,0.00062152283,0.00007815954,0.012736414],"genre_scores_gemma":[0.9958806,0.00011647686,0.00059660093,0.00088313833,0.000060055696,0.0000960242,0.00038279753,0.000031661737,0.0019525382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983375,0.0006251431,0.00023307421,0.00022033694,0.00043095546,0.0001529674],"domain_scores_gemma":[0.9463906,0.035254195,0.0121574,0.002178054,0.0022305485,0.0017891033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005273597,0.00023347732,0.00032977492,0.000705805,0.0009901668,0.0014404221,0.00034079855,0.0012585644,0.017857434],"category_scores_gemma":[0.06115891,0.00017035415,0.0002424334,0.0006677798,0.0009488898,0.0033902586,0.0019810873,0.0015194772,0.0015040754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0057654646,0.00073252246,0.6102565,0.001438453,0.00048087435,0.001154748,0.105140336,0.00023326461,0.013759732,0.011751196,0.043309685,0.2059773],"study_design_scores_gemma":[0.0001832507,0.00069942215,0.89993775,0.00034114756,0.00025246738,0.0011234537,0.06523052,0.00061273476,0.0026878717,0.009673884,0.019196125,0.00006133425],"about_ca_topic_score_codex":0.00071251456,"about_ca_topic_score_gemma":0.0011696211,"teacher_disagreement_score":0.017857434,"about_ca_system_score_codex":0.0004024628,"about_ca_system_score_gemma":0.0002995041,"threshold_uncertainty_score":0.059739053},"labels":[],"label_agreement":null},{"id":"W4404439520","doi":"10.32942/x21w5s","title":"Towards a unified ontology for monitoring ecosystem services","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ontology; Ecosystem services; Ecosystem; Environmental resource management; Computer science; Data science; Environmental science; Ecology; Epistemology; Biology","score_opus":0.040741088362236354,"score_gpt":0.3047583130091171,"score_spread":0.26401722464688077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404439520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026766628,0.00044931442,0.9818045,0.0035376383,0.00022212998,0.00030679588,0.0009264008,0.0010257639,0.0090509225],"genre_scores_gemma":[0.024972364,0.0009940877,0.9675267,0.0007430762,0.0001132714,0.00039948168,0.0026422404,0.00031915266,0.0022896044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98974377,0.0029404683,0.0019858687,0.0012056199,0.0035851437,0.00053914136],"domain_scores_gemma":[0.9896465,0.002405951,0.0008632725,0.002459116,0.0038512822,0.00077388005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014913487,0.0011806492,0.0013944535,0.009790716,0.003740934,0.0101128835,0.0037583476,0.0034391528,0.0019897579],"category_scores_gemma":[0.014677254,0.0013774033,0.003934998,0.010467699,0.005462776,0.02182019,0.007055299,0.007326561,0.0014354542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016873613,0.00007467585,0.0011746767,0.00022366818,0.00006075825,0.00020734018,0.0018836887,0.005456126,0.0017453958,0.93032104,0.010463735,0.048372045],"study_design_scores_gemma":[0.000026200094,0.000022932994,0.0011327846,0.00056214596,0.00009487313,0.0003488053,0.0017347463,0.06020264,0.0019678483,0.5732624,0.36054492,0.000099658864],"about_ca_topic_score_codex":0.043184437,"about_ca_topic_score_gemma":0.034661453,"teacher_disagreement_score":0.043184437,"about_ca_system_score_codex":0.0068621403,"about_ca_system_score_gemma":0.015306247,"threshold_uncertainty_score":0.08586615},"labels":[],"label_agreement":null},{"id":"W4404470909","doi":"10.31234/osf.io/qr67z","title":"The Calgary Semantic Decision Project","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Computer science","score_opus":0.02900140311031334,"score_gpt":0.3024165746306497,"score_spread":0.27341517152033634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404470909","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026073013,0.0015824581,0.008269436,0.004536937,0.0008708011,0.0011227201,0.87155694,0.0048105917,0.081177115],"genre_scores_gemma":[0.03689503,0.0005457226,0.019763997,0.00080878724,0.00013696006,0.001593242,0.9184548,0.001465635,0.020335821],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99450773,0.0014946929,0.0002898061,0.0012114305,0.0019165614,0.00057991],"domain_scores_gemma":[0.99039584,0.0017617531,0.00053308916,0.0024966954,0.003338681,0.0014740233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036550073,0.001633337,0.0012110561,0.0041357116,0.0028268031,0.003934213,0.0022709873,0.0020394071,0.029565232],"category_scores_gemma":[0.018352393,0.0004865658,0.00080930925,0.0061916285,0.001567791,0.0030413002,0.00567402,0.0027698246,0.026345909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050317997,0.00014402853,0.004774963,0.00030697646,0.000051751962,0.00014912391,0.00061213324,0.0007873044,0.00037748486,0.010688645,0.9301347,0.051469643],"study_design_scores_gemma":[0.00028137796,0.000045437177,0.01590351,0.00034892658,0.00002863321,0.00006417778,0.0013639554,0.0033421102,0.0009486756,0.022872288,0.95471823,0.00008271352],"about_ca_topic_score_codex":0.20857334,"about_ca_topic_score_gemma":0.21811469,"teacher_disagreement_score":0.20857334,"about_ca_system_score_codex":0.004484181,"about_ca_system_score_gemma":0.008854294,"threshold_uncertainty_score":0.41471863},"labels":[],"label_agreement":null},{"id":"W4404479896","doi":"10.2139/ssrn.4981978","title":"Zero-Shot Standard Operating Procedure Generation Based on a Pretrained Vision-Language Model","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Zero (linguistics); Computer science; Shot (pellet); Artificial intelligence; Language model; Standard Model (mathematical formulation); Computer vision; Computer graphics (images); History; Linguistics","score_opus":0.01938761578220065,"score_gpt":0.2947172663857496,"score_spread":0.2753296506035489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404479896","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01750295,0.00017311382,0.9574196,0.00016531526,0.00018878012,0.00018052082,0.00063404394,0.021323988,0.002411699],"genre_scores_gemma":[0.23861443,0.00013047126,0.74734676,0.0002722079,0.00008634519,0.00031550764,0.003968638,0.0030411805,0.006224394],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859256,0.00022367675,0.00007490139,0.0005003132,0.0003871553,0.00022142405],"domain_scores_gemma":[0.9968436,0.0010784379,0.00013705197,0.0008287606,0.0009811375,0.00013116724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012450502,0.0011220478,0.0007901852,0.0012806704,0.0006630512,0.001367753,0.002146756,0.0018177772,0.011204102],"category_scores_gemma":[0.007269853,0.00049372006,0.0013540083,0.00077393267,0.00065463857,0.0015779465,0.0016788219,0.0022476888,0.005435343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082688226,0.0002980766,0.0014185582,0.00025613626,0.00009094569,0.00038918658,0.00016441476,0.04015702,0.04369077,0.013446678,0.028799769,0.8704616],"study_design_scores_gemma":[0.000061359664,0.00013681604,0.0006540164,0.000024555957,0.00004819557,0.00029772744,0.000050535986,0.93074816,0.038693547,0.023937235,0.0053050485,0.000042831045],"about_ca_topic_score_codex":0.0053162505,"about_ca_topic_score_gemma":0.007354075,"teacher_disagreement_score":0.011204102,"about_ca_system_score_codex":0.00078996795,"about_ca_system_score_gemma":0.0030460216,"threshold_uncertainty_score":0.037481427},"labels":[],"label_agreement":null},{"id":"W4404481617","doi":"10.1145/3687123.3698286","title":"Evaluation of Code LLMs on Geospatial Code Generation","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Geospatial analysis; Computer science; Code (set theory); Computer security; Programming language; Database; Geography; Remote sensing","score_opus":0.11670483337188606,"score_gpt":0.3446862826511968,"score_spread":0.22798144927931072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404481617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73116714,0.008063058,0.0847601,0.0039193844,0.0015856676,0.0020249928,0.030335201,0.10828742,0.029857028],"genre_scores_gemma":[0.6112946,0.002132657,0.23574549,0.0016165163,0.00017153303,0.0015259006,0.13253129,0.009218853,0.0057631047],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98712105,0.003926301,0.001553305,0.0022041216,0.0044040726,0.0007911666],"domain_scores_gemma":[0.96074,0.02144458,0.0019397291,0.0082277,0.006277933,0.001370063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008122085,0.0024118908,0.0008270532,0.0036624903,0.0012093167,0.0024111152,0.004099082,0.0022899343,0.0026084995],"category_scores_gemma":[0.049186956,0.0007502664,0.0018482993,0.0034326871,0.0018243663,0.0041358685,0.0033084906,0.002970869,0.001953415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031076018,0.0034568396,0.045644976,0.0068347454,0.0007155355,0.0007066781,0.0017487782,0.26235744,0.018953161,0.011544037,0.16111557,0.48381472],"study_design_scores_gemma":[0.0009320031,0.0017361519,0.020460349,0.00084770634,0.0002977005,0.00052313454,0.00096584705,0.838587,0.043303844,0.011067927,0.08108109,0.00019730175],"about_ca_topic_score_codex":0.015994528,"about_ca_topic_score_gemma":0.019991089,"teacher_disagreement_score":0.015994528,"about_ca_system_score_codex":0.0037759782,"about_ca_system_score_gemma":0.0040939446,"threshold_uncertainty_score":0.042954206},"labels":[],"label_agreement":null},{"id":"W4404579338","doi":"10.5220/0012892600003838","title":"Optimization of Methods for Querying Formal Ontologies in Natural Language Using a Neural Network","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Natural language; Artificial neural network; Formal language; Artificial intelligence; Natural language processing; Formal methods; Programming language","score_opus":0.04982478443170989,"score_gpt":0.3847673608851437,"score_spread":0.3349425764534338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404579338","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022027135,0.00025470546,0.9746133,0.00029707994,0.000030879983,0.000089091096,0.00018025444,0.0011186256,0.001389011],"genre_scores_gemma":[0.38321385,0.00024184391,0.6118559,0.00017836568,0.000050822488,0.00026859134,0.0006726038,0.0004257263,0.003092364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820864,0.0005161506,0.00015014381,0.00043256732,0.0004998092,0.00019266456],"domain_scores_gemma":[0.9948755,0.0038471771,0.000295967,0.00033010577,0.0005523689,0.00009886707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026285017,0.000987511,0.0012807797,0.0013751666,0.0006287729,0.002201225,0.0019897257,0.001467929,0.0035668975],"category_scores_gemma":[0.010943297,0.00073947356,0.0011697152,0.0012139786,0.0012267359,0.0031331612,0.0017091654,0.0017430475,0.00037285406],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031292855,0.00020325204,0.0014414694,0.00020889219,0.00012866601,0.0000549065,0.00014268853,0.7483233,0.0033440476,0.025229272,0.0024733979,0.21813715],"study_design_scores_gemma":[0.000008921856,0.000005352789,0.000055039374,0.000004635626,0.0000061268042,0.0000042352285,0.000011715497,0.9922814,0.00047333218,0.0070052133,0.00014131892,0.0000026905789],"about_ca_topic_score_codex":0.025348341,"about_ca_topic_score_gemma":0.04327688,"teacher_disagreement_score":0.025348341,"about_ca_system_score_codex":0.003358083,"about_ca_system_score_gemma":0.002904493,"threshold_uncertainty_score":0.05040157},"labels":[],"label_agreement":null},{"id":"W4404646327","doi":"10.1007/978-981-96-0351-0_16","title":"Equality Generating Dependencies in Description Logics via Path Agreements","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Path (computing); Theoretical computer science; Algorithm; Programming language","score_opus":0.049490198762420556,"score_gpt":0.2719232667920199,"score_spread":0.22243306802959933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404646327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007943596,0.00022586498,0.9806363,0.00040518172,0.000057707697,0.000094022005,0.00020510553,0.00091159454,0.009520577],"genre_scores_gemma":[0.30084717,0.0006408761,0.68322,0.0003610223,0.00012309362,0.00032111508,0.0013748913,0.00091556896,0.012196299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99202347,0.003046272,0.00066454476,0.0012995041,0.002439388,0.0005267762],"domain_scores_gemma":[0.97783935,0.017780997,0.0005204983,0.0025782308,0.0009565586,0.00032441906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074097826,0.00080450554,0.0010686889,0.0025862309,0.0020656686,0.0042185313,0.003648101,0.0017456689,0.010345376],"category_scores_gemma":[0.021464124,0.00177192,0.0027812344,0.0039079147,0.0043148724,0.016909974,0.0074713007,0.005684387,0.0020459138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005483393,0.000051688123,0.00017720828,0.00010892889,0.000019250025,0.00007930839,0.00031053837,0.010800728,0.000645166,0.92763376,0.002066253,0.058052417],"study_design_scores_gemma":[0.000010484592,0.000008279303,0.00003492082,0.000026024805,0.000017150207,0.000032353877,0.000048476977,0.032321334,0.001667192,0.9621319,0.0036889191,0.000012957193],"about_ca_topic_score_codex":0.0023802456,"about_ca_topic_score_gemma":0.0022580493,"teacher_disagreement_score":0.010345376,"about_ca_system_score_codex":0.002817591,"about_ca_system_score_gemma":0.0019416572,"threshold_uncertainty_score":0.039187133},"labels":[],"label_agreement":null},{"id":"W4404773176","doi":"10.1101/2024.11.27.625336","title":"UniSPAC: A Unified Segmentation Framework for Proofreading and Annotation in Connectomics","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Connectomics; Proofreading; Annotation; Computer science; Segmentation; Connectome; Artificial intelligence; Natural language processing; Neuroscience; Biology; Functional connectivity","score_opus":0.021857001738200942,"score_gpt":0.25945275671517726,"score_spread":0.23759575497697633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404773176","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017780497,0.0004683498,0.8901941,0.00020689263,0.00013028995,0.00016813258,0.0028500594,0.10294713,0.0012569614],"genre_scores_gemma":[0.022190353,0.0007124458,0.93506247,0.00041896652,0.00009073217,0.0009792385,0.010960359,0.02779423,0.0017912296],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99715024,0.0005336168,0.00028356604,0.0007558336,0.0010170478,0.00025971525],"domain_scores_gemma":[0.9945862,0.0018927724,0.0005491743,0.0015464056,0.0011165089,0.00030887756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007286914,0.0030055773,0.0019611854,0.004289106,0.0021261869,0.0045760856,0.0071131163,0.004529625,0.018912232],"category_scores_gemma":[0.013412813,0.002823484,0.0034120819,0.0019095133,0.0021475786,0.0041587176,0.006468458,0.0050282017,0.011905409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013914645,0.00030840118,0.003955964,0.004908502,0.0008925153,0.0020863032,0.002393233,0.051875874,0.16250682,0.09510485,0.2650048,0.4095712],"study_design_scores_gemma":[0.00033801052,0.0002504356,0.0029386757,0.000905687,0.00018644636,0.002286782,0.0003011413,0.42147276,0.15769011,0.1186913,0.29437742,0.0005611851],"about_ca_topic_score_codex":0.003977225,"about_ca_topic_score_gemma":0.007883399,"teacher_disagreement_score":0.018912232,"about_ca_system_score_codex":0.0014044852,"about_ca_system_score_gemma":0.0044587282,"threshold_uncertainty_score":0.06326771},"labels":[],"label_agreement":null},{"id":"W4404781982","doi":"10.18653/v1/2024.emnlp-main.1042","title":"The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Graph; Natural language processing; Artificial intelligence; Theoretical computer science","score_opus":0.030902008863042094,"score_gpt":0.3482150637172276,"score_spread":0.3173130548541855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404781982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5340715,0.00015267344,0.4450675,0.00153614,0.000031305008,0.00009706782,0.00008359347,0.000314053,0.018646147],"genre_scores_gemma":[0.9422457,0.000046286754,0.055981882,0.00011655348,0.000007069254,0.00006149984,0.000065352644,0.00007745646,0.0013982164],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988426,0.0006831534,0.000048161673,0.00016887832,0.00013526392,0.000121929654],"domain_scores_gemma":[0.9944471,0.0035720936,0.00049816375,0.0007065953,0.00033528337,0.0004407488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014295093,0.00030606563,0.00040072703,0.00056959805,0.0010559352,0.002642061,0.0007676804,0.0012739404,0.0026554528],"category_scores_gemma":[0.012478806,0.00041037038,0.0007205396,0.00034361513,0.0048356913,0.006641704,0.0023781587,0.0016857319,0.00024358745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010906723,0.0000773812,0.0026235094,0.000105170686,0.000029531158,0.00043391704,0.004757514,0.027022997,0.009663269,0.9412727,0.00065054145,0.013254394],"study_design_scores_gemma":[0.00003395856,0.000061612634,0.0009471208,0.00001968462,0.0000137354755,0.00017935062,0.0012698043,0.14337146,0.0021913599,0.84969276,0.0021858257,0.000033380467],"about_ca_topic_score_codex":0.0020111487,"about_ca_topic_score_gemma":0.002207036,"teacher_disagreement_score":0.0026554528,"about_ca_system_score_codex":0.0010993059,"about_ca_system_score_gemma":0.00069985224,"threshold_uncertainty_score":0.008883357},"labels":[],"label_agreement":null},{"id":"W4404782900","doi":"10.18653/v1/2024.emnlp-main.840","title":"LitSearch: A Retrieval Benchmark for Scientific Literature Search","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Catastrophic Loss Reduction; National Science Foundation","keywords":"Benchmark (surveying); Computer science; Information retrieval","score_opus":0.05469280636575525,"score_gpt":0.32081675875912163,"score_spread":0.2661239523933664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404782900","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19131468,0.06985029,0.19384758,0.007232751,0.0021710703,0.006031151,0.35535234,0.12013655,0.05406355],"genre_scores_gemma":[0.17255221,0.0070644896,0.29554877,0.0013584008,0.000532236,0.0033911509,0.5102673,0.00292944,0.0063559497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9898459,0.004102041,0.0021425919,0.0011121708,0.0024501146,0.00034718149],"domain_scores_gemma":[0.96806526,0.018800799,0.0021392147,0.0039615827,0.005965643,0.0010675066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011652933,0.0020955857,0.0015136149,0.021957908,0.0015642548,0.0035267887,0.002312821,0.002419523,0.007773666],"category_scores_gemma":[0.060630716,0.00048461804,0.0013892038,0.014797651,0.0008887898,0.004966263,0.003315182,0.0011489836,0.00800814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016404218,0.0010284806,0.011864475,0.026272805,0.00093369745,0.00063375547,0.0016125154,0.022880455,0.02363081,0.01120726,0.44476524,0.45353],"study_design_scores_gemma":[0.0020897076,0.0035177176,0.034870837,0.0030646038,0.0009530216,0.0030852882,0.0027754472,0.21973585,0.05645772,0.036918476,0.6359046,0.0006267297],"about_ca_topic_score_codex":0.006264809,"about_ca_topic_score_gemma":0.012253372,"teacher_disagreement_score":0.021957908,"about_ca_system_score_codex":0.002022699,"about_ca_system_score_gemma":0.0038158116,"threshold_uncertainty_score":0.06162733},"labels":[],"label_agreement":null},{"id":"W4404783016","doi":"10.18653/v1/2024.emnlp-main.692","title":"Latent Concept-based Explanation of NLP Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Research Nova Scotia","keywords":"Artificial intelligence; Natural language processing; Computer science; Machine learning","score_opus":0.03880406680537621,"score_gpt":0.25911742939161714,"score_spread":0.22031336258624093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404783016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008794553,0.00052856735,0.984554,0.0015954686,0.000078430676,0.000047874808,0.0012295925,0.0008535918,0.0023179553],"genre_scores_gemma":[0.6366704,0.0018610083,0.350878,0.00057422864,0.00032769993,0.00048900215,0.005056218,0.00039596524,0.0037474562],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835676,0.0007183117,0.00010738171,0.00031964356,0.00037578717,0.00012211979],"domain_scores_gemma":[0.99280316,0.005462052,0.00049380783,0.00070336653,0.0004073882,0.0001302707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002014183,0.0012466379,0.0007176583,0.0022992021,0.00063377956,0.002497955,0.0022213145,0.0016211115,0.005918134],"category_scores_gemma":[0.012959,0.0006184587,0.00195775,0.0018690286,0.0017761016,0.0047130473,0.0024703494,0.0034825918,0.00079760957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104942264,0.00009016082,0.003048509,0.00046647395,0.00017817129,0.0005147051,0.0007676459,0.36987677,0.0016447684,0.550306,0.0067174328,0.066284396],"study_design_scores_gemma":[0.000012074977,0.00000779498,0.00017912286,0.000050959774,0.000015861395,0.000043806656,0.00004237942,0.66012686,0.00038807755,0.3373568,0.0017625394,0.000013732627],"about_ca_topic_score_codex":0.005354489,"about_ca_topic_score_gemma":0.007778927,"teacher_disagreement_score":0.005918134,"about_ca_system_score_codex":0.0017510509,"about_ca_system_score_gemma":0.0017242925,"threshold_uncertainty_score":0.01979816},"labels":[],"label_agreement":null},{"id":"W4404835291","doi":"10.1016/j.procs.2024.09.319","title":"Towards an Ontology-Driven System For Building and Farming Greenhouses","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie; Academy of Scientific Research and Technology; Providence Health Care","keywords":"Computer science; Greenhouse; Ontology; Agriculture; Agricultural engineering; Ecology; Agronomy","score_opus":0.026293002022852553,"score_gpt":0.29136326067632873,"score_spread":0.26507025865347617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404835291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008238991,0.00008998375,0.97604567,0.00042473018,0.000056387773,0.0004113561,0.00041612764,0.009506811,0.004810063],"genre_scores_gemma":[0.06166686,0.0003087305,0.930238,0.00023033337,0.00002160978,0.00040267335,0.0021230548,0.0006823517,0.0043264],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883693,0.00024424464,0.00017644957,0.00024229144,0.00039625427,0.000103772094],"domain_scores_gemma":[0.9990212,0.00026601617,0.000083118786,0.00024494264,0.00025689264,0.00012779658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002798379,0.0006516715,0.0006864651,0.0014914129,0.0012942762,0.0033503263,0.002094006,0.001739106,0.0028044386],"category_scores_gemma":[0.002962654,0.0006788643,0.0018448514,0.0010906009,0.00094984035,0.0047762785,0.0035104007,0.0018338575,0.001616386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044280017,0.0014504436,0.007774083,0.00141386,0.00041220096,0.003345108,0.0077910945,0.08780076,0.11394421,0.25484437,0.03199459,0.4887864],"study_design_scores_gemma":[0.00015418816,0.00014434637,0.0026324522,0.00035493067,0.00032246616,0.0010364468,0.0015740306,0.5976533,0.03618822,0.08175841,0.2779823,0.00019897887],"about_ca_topic_score_codex":0.009544152,"about_ca_topic_score_gemma":0.010528892,"teacher_disagreement_score":0.009544152,"about_ca_system_score_codex":0.0013974806,"about_ca_system_score_gemma":0.003351903,"threshold_uncertainty_score":0.018977225},"labels":[],"label_agreement":null},{"id":"W4405376460","doi":"10.3233/faia241311","title":"Meaning Holism and Indeterminacy of Reference in Ontologies","year":2024,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Holism; Ontology; Meaning (existential); Indeterminacy (philosophy); Epistemology; Term (time); Computer science; Philosophy","score_opus":0.06886273614620855,"score_gpt":0.29541643349953634,"score_spread":0.22655369735332778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405376460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038106315,0.016984278,0.6248591,0.022758134,0.00090053305,0.0001043103,0.00013621856,0.00029264035,0.29585847],"genre_scores_gemma":[0.86460155,0.0058092223,0.10941081,0.0021720238,0.00087443396,0.00029994626,0.00016432478,0.00022442613,0.016443249],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.991475,0.004593568,0.0005519986,0.0009913897,0.001979371,0.00040871336],"domain_scores_gemma":[0.9914209,0.0055672643,0.0005112718,0.0016029861,0.00066400156,0.00023355083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008798395,0.00058084715,0.00095612125,0.0027944432,0.003379942,0.008776263,0.0016812426,0.0022254558,0.0014975643],"category_scores_gemma":[0.012495447,0.000648597,0.0010542274,0.002841711,0.041678242,0.018123796,0.0053656367,0.004989381,0.00038852976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015977374,0.0000011041755,0.000026872362,0.000010574444,0.0000015881214,0.000014760213,0.0006235942,0.00014770162,0.000030817868,0.99759394,0.00023191232,0.001315534],"study_design_scores_gemma":[0.0000016501278,0.0000017314942,0.000025527243,0.000016449061,0.0000021372048,0.000020600108,0.0001195111,0.00043567677,0.00006065973,0.9924029,0.0069099483,0.000003215731],"about_ca_topic_score_codex":0.0023154113,"about_ca_topic_score_gemma":0.0017464294,"teacher_disagreement_score":0.008798395,"about_ca_system_score_codex":0.005421701,"about_ca_system_score_gemma":0.0023323905,"threshold_uncertainty_score":0.046530902},"labels":[],"label_agreement":null},{"id":"W4405767409","doi":"10.48550/arxiv.2412.17075","title":"Iterative NLP Query Refinement for Enhancing Domain-Specific Information Retrieval: A Case Study in Career Services","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Humber Polytechnic","funders":"","keywords":"Computer science; Information retrieval; Domain (mathematical analysis); Query expansion; Natural language processing; Artificial intelligence; Mathematics","score_opus":0.07543960327363322,"score_gpt":0.2191019969790739,"score_spread":0.14366239370544068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405767409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5029365,0.003925047,0.4595826,0.004768377,0.00017310407,0.002065437,0.002354689,0.014393352,0.0098010395],"genre_scores_gemma":[0.35604584,0.0012440275,0.631679,0.0008776711,0.0001145955,0.00044557793,0.004050442,0.0008308629,0.004711998],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99065816,0.005979311,0.0006695751,0.0006974016,0.0016618515,0.0003336433],"domain_scores_gemma":[0.96785665,0.025601964,0.0006172218,0.0022125116,0.003180871,0.0005308294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009340501,0.0011173583,0.00133618,0.002567591,0.0014634493,0.0020749725,0.0020337482,0.002228218,0.0025931443],"category_scores_gemma":[0.026959937,0.00035591365,0.0010545859,0.0040197414,0.0012216986,0.0040444494,0.0017777864,0.001760004,0.0023986665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001359679,0.0027318257,0.012664776,0.00614214,0.00024025605,0.004669215,0.018005177,0.027207928,0.122417904,0.007826438,0.032016553,0.76471823],"study_design_scores_gemma":[0.0009403616,0.0032123548,0.025827607,0.0004778666,0.00048298712,0.0101119215,0.022351496,0.39104933,0.28480405,0.017847475,0.24225321,0.0006413709],"about_ca_topic_score_codex":0.010103193,"about_ca_topic_score_gemma":0.011721467,"teacher_disagreement_score":0.010103193,"about_ca_system_score_codex":0.0012541764,"about_ca_system_score_gemma":0.002039469,"threshold_uncertainty_score":0.049397826},"labels":[],"label_agreement":null},{"id":"W4405846037","doi":"10.1109/nfv-sdn61811.2024.10807464","title":"Energy-aware Embedding of Logical Functionality Chains over Heterogeneous Platforms","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Embedding; Computer science; Embedded system; Distributed computing; Artificial intelligence","score_opus":0.0312991634245974,"score_gpt":0.2821034019398423,"score_spread":0.2508042385152449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405846037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19805034,0.00032823344,0.7912476,0.00029875923,0.000058991878,0.00015993824,0.00009685298,0.0009261884,0.008833042],"genre_scores_gemma":[0.83862054,0.00012288456,0.15878768,0.00005900375,0.000012833828,0.00006948754,0.00010901316,0.00007351698,0.0021451223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994978,0.00014394055,0.000025106156,0.000085240805,0.000121452504,0.00012649313],"domain_scores_gemma":[0.99936336,0.00025160314,0.00009027185,0.00012041556,0.00009367908,0.00008064474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006717309,0.0007422652,0.00056206743,0.00049147377,0.000749163,0.0011006304,0.0011993251,0.0005482177,0.0029198118],"category_scores_gemma":[0.001807541,0.00033492708,0.00039468394,0.0005810385,0.0005682625,0.0019207379,0.0016816164,0.0005822576,0.00041212674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017040916,0.00015901521,0.0012569228,0.00012282764,0.00003139978,0.0003248938,0.00014125947,0.8442168,0.024428116,0.023759011,0.001686023,0.10370332],"study_design_scores_gemma":[0.000009135556,0.000065398024,0.00013709093,0.000006620189,0.00001094398,0.00003845791,0.000070591515,0.98868424,0.0040670875,0.0056503466,0.001253752,0.00000639201],"about_ca_topic_score_codex":0.0021685988,"about_ca_topic_score_gemma":0.0040207915,"teacher_disagreement_score":0.0029198118,"about_ca_system_score_codex":0.00080006605,"about_ca_system_score_gemma":0.0008989568,"threshold_uncertainty_score":0.009767771},"labels":[],"label_agreement":null},{"id":"W4406014436","doi":"10.1109/telfor63250.2024.10819115","title":"Determining category metadata in open data portals – an approach based on Formal Concept Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metadata; Computer science; Formal concept analysis; Information retrieval; World Wide Web; Algorithm","score_opus":0.14431884639283155,"score_gpt":0.36721748506538904,"score_spread":0.2228986386725575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406014436","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02292299,0.0002110629,0.9716607,0.00062771654,0.000041982094,0.000491863,0.00047090324,0.00047062107,0.0031021873],"genre_scores_gemma":[0.12209979,0.00012785685,0.8756104,0.00006542139,0.000022758379,0.0005192905,0.0007783981,0.00007226351,0.00070377253],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9881493,0.004845146,0.0013738895,0.0014195611,0.0037219431,0.00049024227],"domain_scores_gemma":[0.96929044,0.019881254,0.0029820174,0.002752366,0.004506181,0.00058774167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0142526,0.00072836474,0.00070818985,0.019046819,0.0026088604,0.008287659,0.0025373043,0.0012140579,0.0028712922],"category_scores_gemma":[0.029622538,0.00075690076,0.002781753,0.0100142425,0.004500014,0.012974978,0.0037822705,0.0021091166,0.00066461484],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120710036,0.0003556748,0.015635362,0.00080247154,0.00012825105,0.0005439315,0.014722405,0.012716055,0.006630776,0.70901036,0.0032537438,0.23608036],"study_design_scores_gemma":[0.00006382754,0.00012323512,0.005288351,0.0006582052,0.00013939048,0.0008415426,0.016392564,0.22917436,0.009995206,0.6898278,0.04728967,0.00020579254],"about_ca_topic_score_codex":0.013904163,"about_ca_topic_score_gemma":0.011310784,"teacher_disagreement_score":0.019046819,"about_ca_system_score_codex":0.0049152523,"about_ca_system_score_gemma":0.0080190385,"threshold_uncertainty_score":0.075375855},"labels":[],"label_agreement":null},{"id":"W4406069343","doi":"10.1016/j.envsoft.2025.106317","title":"OFPO &amp; KGFPO: Ontology and knowledge graph for flood process observation","year":2025,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trudell Medical International; Military Health System; National Key Research and Development Program of China; China Scholarship Council; Ministry of Water Resources; Magee-Womens Research Institute; Natural Science Foundation of Hubei Province; National Natural Science Foundation of China; Rare Disease Foundation","keywords":"Ontology; Computer science; Graph; Flood myth; Knowledge graph; Process (computing); Knowledge management; Information retrieval; Theoretical computer science; Programming language; Geography; Epistemology; Philosophy; Archaeology","score_opus":0.03008632792475968,"score_gpt":0.2694087393100672,"score_spread":0.23932241138530752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406069343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007938267,0.00014626796,0.9350266,0.00048637655,0.000114950664,0.00034009907,0.018396221,0.026595512,0.01095577],"genre_scores_gemma":[0.16694318,0.0008273278,0.7632162,0.0003763738,0.00005017088,0.0006619863,0.05055955,0.004963449,0.012401682],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99963593,0.00005632789,0.00003998743,0.0000947988,0.00013172133,0.000041157033],"domain_scores_gemma":[0.9993098,0.00023122352,0.000063382744,0.0002411801,0.00008914061,0.00006528556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005426935,0.0006305565,0.0004945271,0.0023934564,0.0008143655,0.0021003196,0.001202023,0.0011267108,0.0090001365],"category_scores_gemma":[0.002707877,0.00053633365,0.0012857695,0.0016065906,0.00076405203,0.004035411,0.0023570098,0.0012991509,0.0026636093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043656948,0.00037632094,0.0058287145,0.0015913299,0.00020853571,0.0012159264,0.0018371771,0.052392486,0.017541617,0.30675435,0.10193959,0.5098773],"study_design_scores_gemma":[0.00007742457,0.000067571054,0.0041432786,0.00033213614,0.00014485716,0.0008042614,0.0005139533,0.2900083,0.015437359,0.19849838,0.48983645,0.00013597499],"about_ca_topic_score_codex":0.02566159,"about_ca_topic_score_gemma":0.033335533,"teacher_disagreement_score":0.02566159,"about_ca_system_score_codex":0.0010644636,"about_ca_system_score_gemma":0.0019491041,"threshold_uncertainty_score":0.051024437},"labels":[],"label_agreement":null},{"id":"W4406156265","doi":"10.22329/il.v44i4.8517","title":"How do Explanations Justify?","year":2025,"lang":"fr","type":"article","venue":"Informal Logic","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"CHIST-ERA; Université de Fribourg; European Commission; Fundação para a Ciência e a Tecnologia; University of Windsor","keywords":"Epistemology; Sociology; Philosophy","score_opus":0.04783395880562871,"score_gpt":0.2836011714613252,"score_spread":0.23576721265569647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406156265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031778205,0.00842332,0.54071546,0.11942121,0.0018750416,0.0002957794,0.0012930608,0.0008258925,0.29537216],"genre_scores_gemma":[0.8535,0.0027769664,0.11851672,0.0049700574,0.00088984234,0.00026696365,0.0010858544,0.00034764723,0.017645847],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98895335,0.0064308913,0.0005969189,0.00182589,0.0016538276,0.0005391222],"domain_scores_gemma":[0.9764766,0.014839921,0.0015488487,0.0044200975,0.0023827676,0.00033162886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014464544,0.0008698609,0.0008279825,0.0032846718,0.002593624,0.0076602725,0.0024576962,0.005762694,0.021966856],"category_scores_gemma":[0.035635266,0.00065044506,0.0014253454,0.0018298492,0.0148754455,0.01969432,0.005063519,0.0038720348,0.0027793585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000147536275,0.000006960791,0.000400513,0.00007914333,0.000027996133,0.000060918097,0.00085567404,0.0005113546,0.00006706463,0.988116,0.0020641282,0.00779549],"study_design_scores_gemma":[0.000012736594,0.0000046549503,0.00020599307,0.00012567318,0.000016025804,0.000049036436,0.00042340904,0.0014425729,0.00018759335,0.9740639,0.023459313,0.000009076497],"about_ca_topic_score_codex":0.002719023,"about_ca_topic_score_gemma":0.002362137,"teacher_disagreement_score":0.021966856,"about_ca_system_score_codex":0.0038378485,"about_ca_system_score_gemma":0.0031831162,"threshold_uncertainty_score":0.07649672},"labels":[],"label_agreement":null},{"id":"W4406344308","doi":"10.54900/d3ck1-skq19","title":"Criteria for Bibliographic Databases in a Well-Functioning Scholarly Communication and Research Assessment Ecosystem","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Heart Institute","funders":"","keywords":"Scholarly communication; Bibliographic database; Database; Knowledge management; Scientific communication; Computer science; Data science; World Wide Web; Business; Political science; Library science","score_opus":0.17931497822033407,"score_gpt":0.44838101794106766,"score_spread":0.2690660397207336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406344308","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079082236,0.008113975,0.5721398,0.06527177,0.0013942058,0.00498073,0.002741214,0.0018442697,0.26443186],"genre_scores_gemma":[0.32184327,0.0015399299,0.66038287,0.0014382567,0.00043325895,0.0016323803,0.0017236474,0.00055474095,0.010451639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.7992643,0.07231053,0.047736317,0.007654934,0.06685475,0.006179198],"domain_scores_gemma":[0.6936972,0.11054704,0.023300005,0.021477053,0.12713765,0.023840997],"candidate_categories":["metaresearch","bibliometrics","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.12852255,0.0010573439,0.0036405155,0.04688617,0.018103218,0.06371306,0.0058474764,0.009248182,0.0095077045],"category_scores_gemma":[0.29462168,0.0017559071,0.0031630052,0.041324794,0.020892052,0.038568527,0.022189235,0.0047963485,0.004170791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006960119,0.00008629259,0.00785872,0.0006207185,0.000067390785,0.00046107126,0.0023013903,0.00160648,0.00054878456,0.9444834,0.009777901,0.03211831],"study_design_scores_gemma":[0.000079812155,0.00006988606,0.0041431678,0.0014863093,0.0001207144,0.00087520556,0.009366229,0.010661511,0.00089850783,0.85289776,0.11922933,0.0001715385],"about_ca_topic_score_codex":0.017373646,"about_ca_topic_score_gemma":0.019714238,"teacher_disagreement_score":0.95311385,"about_ca_system_score_codex":0.017703334,"about_ca_system_score_gemma":0.029162087,"threshold_uncertainty_score":0.6797003},"labels":[],"label_agreement":null},{"id":"W4406584202","doi":"10.1016/s1097-8690(12)70886-7","title":"10.1016/s1097-8690(12)70886-7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.008463759565921308,"score_gpt":0.17615084869064354,"score_spread":0.16768708912472224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406584202","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003448639,0.00048940425,0.00096437434,0.00039525074,0.00034751697,0.00012485127,0.0010273743,0.0012694942,0.9950369],"genre_scores_gemma":[0.0004576774,0.00023531921,0.00048792435,0.00024261267,0.000069393514,0.0000734776,0.00058423914,0.0002250242,0.99762434],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989071,0.000074068535,0.00010484,0.00039269304,0.0003027744,0.0002185445],"domain_scores_gemma":[0.9970746,0.0007879234,0.00020468708,0.00041264985,0.0005956924,0.0009244355],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001682547,0.0036767528,0.0026759657,0.0036782257,0.0030769184,0.005773334,0.0044289646,0.0072775655,0.9899094],"category_scores_gemma":[0.0021680973,0.0013973336,0.0020850105,0.0039756293,0.0026121184,0.008735631,0.0045370315,0.003702467,0.9939667],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029529026,0.00021386912,0.000792923,0.00085592456,0.000050001945,0.00025242867,0.00011771426,0.0004878502,0.002168433,0.0074631255,0.39379984,0.5935026],"study_design_scores_gemma":[0.000046495028,0.00010537541,0.0005319648,0.00037557018,0.000016147165,0.00030482808,0.00012370128,0.00023792029,0.00035277815,0.0006770402,0.997198,0.000030056917],"about_ca_topic_score_codex":0.004695809,"about_ca_topic_score_gemma":0.0038857665,"teacher_disagreement_score":0.0100905895,"about_ca_system_score_codex":0.001619554,"about_ca_system_score_gemma":0.0017408943,"threshold_uncertainty_score":0.014392912},"labels":[],"label_agreement":null},{"id":"W4406692793","doi":"10.3390/systems13020072","title":"Digital Health Transformation: Leveraging a Knowledge Graph Reasoning Framework and Conversational Agents for Enhanced Knowledge Management","year":2025,"lang":"en","type":"article","venue":"Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Knowledge graph; Computer science; Knowledge management; Transformation (genetics); Digital transformation; Graph; Human–computer interaction; Data science; Artificial intelligence; World Wide Web; Theoretical computer science; Chemistry","score_opus":0.024001885701926587,"score_gpt":0.30257761444307263,"score_spread":0.27857572874114606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406692793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005510016,0.00011872193,0.9854549,0.00092037086,0.000051257848,0.00018840918,0.00011008345,0.0008033384,0.0068429857],"genre_scores_gemma":[0.1536555,0.00022740249,0.84175384,0.0003362883,0.000030639727,0.00020782088,0.00040561115,0.00012412996,0.0032587715],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99642724,0.0017669437,0.00031774168,0.00071236497,0.00061290193,0.00016274657],"domain_scores_gemma":[0.9958597,0.0023391296,0.00026249365,0.0009757781,0.00035408218,0.00020886585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004804045,0.00062508864,0.00038004701,0.0027564387,0.0013864507,0.004393137,0.0018403778,0.0013981283,0.0029375218],"category_scores_gemma":[0.007473836,0.00042879686,0.0015661101,0.0015722173,0.0030073808,0.006746661,0.0053187725,0.0016032425,0.00048287874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001449505,0.0003989851,0.0017984285,0.0004846317,0.00012687437,0.0008166769,0.007260714,0.054984972,0.009998909,0.58037716,0.005386679,0.33822095],"study_design_scores_gemma":[0.00007695107,0.00012312872,0.0006580625,0.0002409667,0.00014263822,0.00047632438,0.0027866235,0.3760424,0.0141635295,0.48362142,0.12156935,0.00009857034],"about_ca_topic_score_codex":0.007969351,"about_ca_topic_score_gemma":0.009333126,"teacher_disagreement_score":0.007969351,"about_ca_system_score_codex":0.0016734129,"about_ca_system_score_gemma":0.0033835692,"threshold_uncertainty_score":0.02540654},"labels":[],"label_agreement":null},{"id":"W4406816361","doi":"10.5117/9789463727679_ch01","title":"Making a Difference : The Epistemic Value of Collaborative Research in a Datafied Society","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Value (mathematics); Epistemology; Sociology; Psychology; Philosophy; Mathematics; Statistics","score_opus":0.1536496107668356,"score_gpt":0.3832041836146741,"score_spread":0.22955457284783853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406816361","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013145432,0.014205896,0.13201217,0.07468255,0.0022901106,0.00016162272,0.000090104615,0.0002281638,0.76318395],"genre_scores_gemma":[0.77165896,0.013425025,0.10110587,0.011768299,0.002296915,0.00073650037,0.0002546298,0.0005966308,0.098157264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96927994,0.023715049,0.0005899017,0.0016333666,0.0038669957,0.0009147087],"domain_scores_gemma":[0.9603341,0.031147389,0.0007094205,0.005154391,0.0015510516,0.0011035886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02930892,0.00065047113,0.0008166023,0.0032268553,0.012496047,0.027956298,0.002489133,0.0056036822,0.0062782685],"category_scores_gemma":[0.02897439,0.0006488975,0.00087462855,0.0034252796,0.07275219,0.042672157,0.017895399,0.006898753,0.0017156409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051992088,0.0000066056823,0.0000631379,0.000047065707,0.000004329336,0.0000657662,0.019184519,0.00008276951,0.000058138456,0.9700577,0.0026774888,0.0077471538],"study_design_scores_gemma":[0.000007814135,0.000008581508,0.00007261273,0.0002612457,0.000007214766,0.00017952124,0.011806145,0.00031022157,0.00015965487,0.77998745,0.20718424,0.000015364045],"about_ca_topic_score_codex":0.0019402103,"about_ca_topic_score_gemma":0.0027898506,"teacher_disagreement_score":0.02930892,"about_ca_system_score_codex":0.0058509037,"about_ca_system_score_gemma":0.0074707665,"threshold_uncertainty_score":0.15500224},"labels":[],"label_agreement":null},{"id":"W4407057492","doi":"10.1007/978-3-658-45877-5","title":"Improving Decision Making Using Semantic Web Technologies","year":2025,"lang":"en","type":"book","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Interreg; Universität Innsbruck; European Commission","keywords":"Semantic Web; Computer science; Social Semantic Web; World Wide Web","score_opus":0.02123150812742725,"score_gpt":0.2744390079802558,"score_spread":0.25320749985282853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407057492","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020092035,0.017955469,0.7026216,0.021260694,0.0027659545,0.00035755674,0.0012407689,0.0035178293,0.23018809],"genre_scores_gemma":[0.16761969,0.022037482,0.7539867,0.001899629,0.0008345357,0.00035947026,0.0030890107,0.00058568973,0.049587797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964927,0.0015656692,0.00020755459,0.00023785814,0.0013742937,0.00012192362],"domain_scores_gemma":[0.99526346,0.0035565435,0.00013374122,0.000364646,0.0005853627,0.00009625929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004253492,0.0012074773,0.00073015294,0.0022800788,0.0009465092,0.006815009,0.0012674973,0.0016576919,0.012973786],"category_scores_gemma":[0.010669409,0.0004523357,0.0012992584,0.0036381881,0.0013044712,0.010891016,0.0024113148,0.0027212133,0.0044119647],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092808696,0.00021704464,0.00052461977,0.00087019743,0.00015704283,0.00020094204,0.0006818572,0.02851366,0.0016337058,0.24842612,0.0934479,0.6252341],"study_design_scores_gemma":[0.000052673928,0.000074416785,0.0005141937,0.0007558966,0.000076333454,0.00013806064,0.0010080346,0.07234306,0.0033257583,0.66639775,0.25525013,0.00006371437],"about_ca_topic_score_codex":0.0028605463,"about_ca_topic_score_gemma":0.0034348837,"teacher_disagreement_score":0.012973786,"about_ca_system_score_codex":0.0015931511,"about_ca_system_score_gemma":0.0019385121,"threshold_uncertainty_score":0.04340166},"labels":[],"label_agreement":null},{"id":"W4407141461","doi":"10.1590/scielopreprints.11205","title":"On the Open Road to Universal Indexing: OpenAlex and Open Journal Systems","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Search engine indexing; Computer science; Information retrieval; World Wide Web","score_opus":0.07618262536441285,"score_gpt":0.32665181095731044,"score_spread":0.2504691855928976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407141461","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7200502,0.013171323,0.07217707,0.0413304,0.00045125745,0.00019889108,0.003308415,0.0007038288,0.14860868],"genre_scores_gemma":[0.9805533,0.001973344,0.0126940515,0.0008882318,0.00024969337,0.00008474253,0.0011509781,0.00017944323,0.0022262102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.957077,0.020916317,0.0040971553,0.0047682035,0.009765093,0.0033761826],"domain_scores_gemma":[0.7785942,0.13268867,0.032842226,0.035409022,0.012349302,0.008116538],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.043528747,0.0003435336,0.0011427668,0.017249987,0.0062654717,0.022174917,0.0020869868,0.0016622648,0.00939689],"category_scores_gemma":[0.15804218,0.0005091577,0.00057885563,0.03779578,0.017601594,0.042825468,0.024973677,0.0022911832,0.001298708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016340404,0.000089234716,0.106836535,0.00066992326,0.00008456368,0.00026432617,0.035018984,0.00078175403,0.00065514265,0.7265049,0.0062912437,0.12263999],"study_design_scores_gemma":[0.000047456335,0.000083057326,0.08086941,0.0010894865,0.00008714499,0.0008272535,0.046748027,0.0031659107,0.0013718315,0.67994285,0.18564662,0.00012093946],"about_ca_topic_score_codex":0.004961181,"about_ca_topic_score_gemma":0.0049298266,"teacher_disagreement_score":0.997913,"about_ca_system_score_codex":0.0052642967,"about_ca_system_score_gemma":0.0069230786,"threshold_uncertainty_score":0.23020476},"labels":[],"label_agreement":null},{"id":"W4407264845","doi":"10.29173/cais1979","title":"An Evaluation of OpenAlex Level 0 - Art","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Art","score_opus":0.06351683572909107,"score_gpt":0.3089697151250691,"score_spread":0.24545287939597804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407264845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8350838,0.0010992027,0.044763107,0.0020027487,0.0005430737,0.002317552,0.00496607,0.016710762,0.09251367],"genre_scores_gemma":[0.82776,0.0007051516,0.1299425,0.00064752175,0.00030737798,0.00096282933,0.014814093,0.001229207,0.02363138],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.97050357,0.011499279,0.0025114291,0.0020170347,0.012923328,0.00054527883],"domain_scores_gemma":[0.9126164,0.05035389,0.0028545598,0.013722529,0.018002119,0.0024505127],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.025183348,0.0004600793,0.00081789814,0.0072888085,0.0016052029,0.00782499,0.0022152395,0.0011580371,0.0082292305],"category_scores_gemma":[0.05035856,0.0003015326,0.00064524176,0.0041345395,0.0014425308,0.007937145,0.0036144229,0.00083039515,0.0034148586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037450073,0.004745302,0.04096321,0.0032993455,0.00037811222,0.0007950755,0.014087676,0.004562483,0.029781481,0.018940821,0.04519558,0.8335059],"study_design_scores_gemma":[0.0017118105,0.016466027,0.21879148,0.0022714103,0.00082671514,0.0027187944,0.024832295,0.11908708,0.11381214,0.014845527,0.48382828,0.0008083873],"about_ca_topic_score_codex":0.0019960715,"about_ca_topic_score_gemma":0.00391628,"teacher_disagreement_score":0.9927112,"about_ca_system_score_codex":0.0018310916,"about_ca_system_score_gemma":0.0022422993,"threshold_uncertainty_score":0.1331839},"labels":[],"label_agreement":null},{"id":"W4407264850","doi":"10.29173/cais1995","title":"Exploration de techniques de fouille de textes pour la création d'ontologies afin d'assister la synthèse des connaissances scientifiques","year":2025,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Computer science; Philosophy","score_opus":0.05204907676422186,"score_gpt":0.2969822405046733,"score_spread":0.24493316374045146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407264850","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036858637,0.0010611602,0.99002993,0.0007340071,0.00008507042,0.00031708364,0.00017042058,0.0013910322,0.0025253755],"genre_scores_gemma":[0.019535752,0.0009451414,0.9748847,0.0001197589,0.000025654172,0.00027886365,0.00040325764,0.00056854915,0.0032382938],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98051363,0.010060725,0.0016562758,0.0025249626,0.004889412,0.0003550626],"domain_scores_gemma":[0.9514912,0.033390254,0.002000451,0.007166621,0.005486824,0.00046469405],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.020233916,0.0020091417,0.0014256611,0.005992835,0.0024577957,0.009513203,0.0030879504,0.0024568886,0.009046078],"category_scores_gemma":[0.04407985,0.001533971,0.0045327074,0.0042114784,0.004395651,0.0158893,0.0053244517,0.0037746443,0.0037504414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027786283,0.00025421887,0.0021214786,0.0043375245,0.0003314409,0.00061722216,0.0225384,0.008048716,0.044418823,0.20946248,0.009357926,0.69823384],"study_design_scores_gemma":[0.00017435146,0.00031528788,0.0030929965,0.0024919175,0.0004401622,0.0016788193,0.010285177,0.12352692,0.092431895,0.17087775,0.5943999,0.00028476227],"about_ca_topic_score_codex":0.005575741,"about_ca_topic_score_gemma":0.0076052793,"teacher_disagreement_score":0.9797661,"about_ca_system_score_codex":0.00263029,"about_ca_system_score_gemma":0.0044046147,"threshold_uncertainty_score":0.10700846},"labels":[],"label_agreement":null},{"id":"W4407277236","doi":"10.29173/cais2008","title":"Leaps and Stumbles in the Application of Translation Technologies to Scholarly Communication","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Genome Canada","keywords":"LEAPS; Translation (biology); Scholarly communication; Computer science; Political science; Business; Biology; Genetics","score_opus":0.025051073658241222,"score_gpt":0.2697137352831387,"score_spread":0.24466266162489747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407277236","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016637262,0.9215969,0.01352894,0.031157292,0.0012492556,0.00024169551,0.00017919403,0.000052621785,0.015356818],"genre_scores_gemma":[0.26944414,0.6862182,0.028697424,0.011599704,0.00090732606,0.00087084563,0.00023020712,0.00010916931,0.0019228958],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.87078446,0.09379736,0.012409681,0.0040062857,0.017500883,0.0015013868],"domain_scores_gemma":[0.6437551,0.32422897,0.010843792,0.0076900013,0.012811726,0.0006704752],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.07768545,0.00091337797,0.0017962423,0.01429546,0.0027528729,0.015270002,0.0018190034,0.002611004,0.002142403],"category_scores_gemma":[0.14906795,0.00091768894,0.0020094966,0.018437732,0.02096659,0.03482332,0.0082595665,0.0042364565,0.00045137518],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016519951,0.000057312744,0.0050908504,0.086563386,0.0012017484,0.0005472895,0.07491309,0.0006884233,0.00075763615,0.24545729,0.007171319,0.5773864],"study_design_scores_gemma":[0.00005741271,0.00021565102,0.007992825,0.2818163,0.002102344,0.001213136,0.09342934,0.0012638594,0.0018606883,0.2433436,0.3665084,0.00019647107],"about_ca_topic_score_codex":0.005955138,"about_ca_topic_score_gemma":0.012245416,"teacher_disagreement_score":0.98473,"about_ca_system_score_codex":0.00602806,"about_ca_system_score_gemma":0.017493602,"threshold_uncertainty_score":0.41084486},"labels":[],"label_agreement":null},{"id":"W4407308965","doi":"10.48550/arxiv.2502.04499","title":"Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn't Matter (Much)","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; DeepMind; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Selection (genetic algorithm); Layer (electronics); Matching (statistics); Distillation; Computer science; Process engineering; Artificial intelligence; Chemistry; Chromatography; Mathematics; Materials science; Nanotechnology; Engineering; Statistics","score_opus":0.05443599247087898,"score_gpt":0.3167368246287753,"score_spread":0.2623008321578963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407308965","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055147275,0.0004060404,0.93376213,0.0015535859,0.00008563208,0.00013408472,0.00018953897,0.0016831865,0.007038592],"genre_scores_gemma":[0.6554901,0.0002542208,0.33913207,0.0005452988,0.000045479566,0.00013733063,0.00038829996,0.00038870232,0.0036185132],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950812,0.0021053364,0.00040426076,0.0012112029,0.000833675,0.00036438333],"domain_scores_gemma":[0.98904234,0.004892634,0.00059948314,0.0037395486,0.0012517411,0.0004742262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073626433,0.00077066803,0.0009901592,0.000978029,0.001514733,0.0037140343,0.0026832612,0.0016798588,0.004337087],"category_scores_gemma":[0.027002562,0.00059035385,0.0009243608,0.0015251689,0.0033557508,0.013157071,0.0059564,0.0029632305,0.0014520737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065373705,0.0004284672,0.0077409083,0.0005911313,0.00023292314,0.0002136088,0.0025186064,0.08606374,0.014688121,0.35831764,0.0067851376,0.52176595],"study_design_scores_gemma":[0.00009694033,0.00018770665,0.0011574058,0.0001154283,0.000102072736,0.00016575106,0.0005365545,0.53318596,0.02334903,0.42606208,0.014965649,0.0000754772],"about_ca_topic_score_codex":0.004570487,"about_ca_topic_score_gemma":0.0051863957,"teacher_disagreement_score":0.0073626433,"about_ca_system_score_codex":0.0015320524,"about_ca_system_score_gemma":0.0028666747,"threshold_uncertainty_score":0.038937867},"labels":[],"label_agreement":null},{"id":"W4407702331","doi":"10.1037/xlm0001468","title":"A “logical intuition” based on semantic associations.","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Learning Memory and Cognition","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Intuition; Cognitive psychology; Cognitive science; Cognition; Neuroscience","score_opus":0.02536433466529716,"score_gpt":0.337574565768305,"score_spread":0.3122102311030079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407702331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5434446,0.0017426789,0.22915962,0.013246812,0.0007281168,0.0004713178,0.0008611084,0.0005734676,0.20977236],"genre_scores_gemma":[0.9710863,0.0003471463,0.024085402,0.0015808847,0.00006969993,0.000103948114,0.00036891032,0.000034163182,0.0023234321],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9953725,0.0020168365,0.00032225036,0.00077304436,0.0013482916,0.00016703148],"domain_scores_gemma":[0.9816244,0.010103224,0.0035244417,0.0023461531,0.0018087836,0.0005929501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003719303,0.0003481222,0.00024253558,0.0010954186,0.0006823497,0.0027994064,0.0006250291,0.0014253564,0.007730734],"category_scores_gemma":[0.04398434,0.00026314647,0.00072576443,0.00058041577,0.0053480756,0.006040229,0.0023914909,0.0024442552,0.000815324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011333913,0.00056196045,0.076975994,0.0020204026,0.00052344595,0.000943609,0.026358383,0.0037391284,0.038962856,0.6584003,0.018344233,0.17203635],"study_design_scores_gemma":[0.00011058205,0.00076584175,0.0999176,0.0007378752,0.0003427481,0.0025374223,0.009268967,0.014796427,0.00814939,0.8042125,0.058964048,0.00019660962],"about_ca_topic_score_codex":0.00075680274,"about_ca_topic_score_gemma":0.00094782223,"teacher_disagreement_score":0.007730734,"about_ca_system_score_codex":0.0009850458,"about_ca_system_score_gemma":0.0009376978,"threshold_uncertainty_score":0.02586186},"labels":[],"label_agreement":null},{"id":"W4407779247","doi":"10.1016/b978-0-323-95504-1.00396-3","title":"The Calgary Semantic Decision Project","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Western University","funders":"","keywords":"Computer science","score_opus":0.01742865330468676,"score_gpt":0.26012483092157834,"score_spread":0.24269617761689158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407779247","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031123257,0.01624012,0.052362643,0.015147782,0.002833755,0.00013053697,0.002337654,0.0019782041,0.90585697],"genre_scores_gemma":[0.041156154,0.021637036,0.078972705,0.0026347707,0.0008446335,0.00018786205,0.0068183662,0.002025414,0.845723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832064,0.00034843478,0.00008403895,0.0002905784,0.00078187796,0.00017436972],"domain_scores_gemma":[0.99890685,0.00035969095,0.000050687635,0.00018099131,0.00034104384,0.00016075133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025482774,0.0011291896,0.0007998526,0.0031377831,0.0022157445,0.009334908,0.0016757248,0.0025462299,0.051654447],"category_scores_gemma":[0.0034015551,0.000682538,0.00062566204,0.0056508854,0.0023618203,0.007079451,0.0033422762,0.0024448493,0.015812209],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036093104,0.000026150858,0.00010202352,0.00009624084,0.000007074411,0.000040113984,0.00016474974,0.0010363574,0.00018283255,0.40273377,0.38441548,0.21115912],"study_design_scores_gemma":[0.000009681689,0.0000037399782,0.00015192607,0.00011742502,0.0000037171926,0.000020172949,0.0001703373,0.0016005739,0.00032548266,0.11107224,0.8865144,0.000010220988],"about_ca_topic_score_codex":0.1283487,"about_ca_topic_score_gemma":0.09916858,"teacher_disagreement_score":0.1283487,"about_ca_system_score_codex":0.010451431,"about_ca_system_score_gemma":0.011796355,"threshold_uncertainty_score":0.25520325},"labels":[],"label_agreement":null},{"id":"W4408062334","doi":"10.5220/0013303000003890","title":"Toolshed: Scale Tool-Equipped Agents with Advanced RAG-Tool Fusion and Tool Knowledge Bases","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Computer science; Scale (ratio); Human–computer interaction; Fusion","score_opus":0.011979855720131348,"score_gpt":0.2638252760733204,"score_spread":0.2518454203531891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408062334","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018988902,0.00017465657,0.8617219,0.00019976827,0.000156856,0.00047664827,0.0015164871,0.099448815,0.017315932],"genre_scores_gemma":[0.2607602,0.00022722913,0.7118039,0.00026453327,0.000059242244,0.00045480448,0.0065449486,0.0046218764,0.015263295],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858993,0.00021413257,0.00015184129,0.000241102,0.0006693284,0.00013353715],"domain_scores_gemma":[0.9977168,0.00041599644,0.00016279782,0.0011483139,0.00031573963,0.00024035237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019743305,0.0012509509,0.0010709036,0.001666976,0.0007294877,0.0030259541,0.0031287202,0.0015303793,0.010541921],"category_scores_gemma":[0.00489347,0.00095888815,0.0011753058,0.001294841,0.0009893671,0.004882851,0.0053627645,0.0018176904,0.00507929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020591675,0.0015743471,0.0066374713,0.0011091105,0.00093532365,0.0012582603,0.002255604,0.08125853,0.055112038,0.08751296,0.085908756,0.6743785],"study_design_scores_gemma":[0.00030583516,0.00039812323,0.002205052,0.00021334371,0.00038510648,0.00049088127,0.0005012308,0.66273534,0.054377634,0.06543353,0.21272266,0.00023121497],"about_ca_topic_score_codex":0.0038143455,"about_ca_topic_score_gemma":0.0047145574,"teacher_disagreement_score":0.010541921,"about_ca_system_score_codex":0.00057963986,"about_ca_system_score_gemma":0.0014696969,"threshold_uncertainty_score":0.03526622},"labels":[],"label_agreement":null},{"id":"W4408146450","doi":"10.1109/icmla61862.2024.00143","title":"ECSGen and iZen: A New NLP Task and a Zeroshot Framework to Perform it","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University","keywords":"Computer science; Task (project management); Natural language processing; Artificial intelligence; Engineering","score_opus":0.019752276405393288,"score_gpt":0.2778439106032557,"score_spread":0.2580916341978624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408146450","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0136286635,0.0005031204,0.96164507,0.0007100659,0.00023622789,0.00046515837,0.0011056422,0.01802002,0.0036860083],"genre_scores_gemma":[0.10543565,0.0001832596,0.87963074,0.0007188721,0.00018741359,0.0005491618,0.0051550963,0.0015850113,0.006554782],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99566036,0.0017806249,0.0002288166,0.0013413159,0.0007508244,0.00023804145],"domain_scores_gemma":[0.9918588,0.0049645053,0.00033331622,0.0018422916,0.0006354948,0.0003656119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004479768,0.0022594635,0.001648716,0.0021446806,0.0018784935,0.002563119,0.0034391708,0.0035247563,0.010510493],"category_scores_gemma":[0.013947891,0.0007557869,0.0018240589,0.0012696867,0.0024662311,0.005277833,0.007533449,0.0038260154,0.0046106772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012577311,0.0008966946,0.0044905576,0.0016163423,0.00028489952,0.0010478315,0.0022052806,0.02357324,0.046170015,0.06995443,0.059521105,0.7889819],"study_design_scores_gemma":[0.0002335759,0.00045882133,0.0031958849,0.00014258968,0.0001245364,0.0011621449,0.0011231774,0.7300474,0.042495634,0.15844928,0.062375274,0.00019164369],"about_ca_topic_score_codex":0.0024163588,"about_ca_topic_score_gemma":0.006249892,"teacher_disagreement_score":0.010510493,"about_ca_system_score_codex":0.00080591615,"about_ca_system_score_gemma":0.0017108978,"threshold_uncertainty_score":0.035161138},"labels":[],"label_agreement":null},{"id":"W4408209208","doi":"10.1108/jd-07-2024-0167","title":"Knowledge translation as an interdisciplinary method for information science","year":2025,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Interoperability; Computer science; Context (archaeology); Knowledge management; Originality; Data science; Artificial intelligence; World Wide Web; Sociology; Social science","score_opus":0.035433540345556125,"score_gpt":0.44049514801569456,"score_spread":0.40506160767013843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408209208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034232312,0.0020521043,0.9438461,0.0070734457,0.0006255828,0.000257406,0.00009285131,0.0003935569,0.042235646],"genre_scores_gemma":[0.18123078,0.0022515296,0.8016506,0.0017362736,0.0005285048,0.0016257118,0.0001954903,0.00036985098,0.010411264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9751678,0.019189645,0.0012046898,0.0014389403,0.0027171338,0.00028185084],"domain_scores_gemma":[0.9684927,0.021217793,0.00076075975,0.0072963354,0.0017954633,0.00043706363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017516473,0.00089622213,0.0011413639,0.007137178,0.003553527,0.011754129,0.0020607293,0.002457127,0.010124522],"category_scores_gemma":[0.024982834,0.00054650486,0.0013895148,0.007255036,0.0236829,0.017620428,0.009171503,0.0044356515,0.0025400708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000128983265,0.000023939518,0.00012132207,0.00023266958,0.000014786326,0.00007118349,0.0034320047,0.00042873799,0.00028220174,0.9527149,0.0012628746,0.04140239],"study_design_scores_gemma":[0.000014081439,0.000021319374,0.00008793936,0.0002798129,0.000010655973,0.0001473938,0.0023962443,0.0029376748,0.0005013906,0.94590145,0.047683932,0.000018134286],"about_ca_topic_score_codex":0.00085393013,"about_ca_topic_score_gemma":0.00071094267,"teacher_disagreement_score":0.017516473,"about_ca_system_score_codex":0.0035091916,"about_ca_system_score_gemma":0.0049239635,"threshold_uncertainty_score":0.09263712},"labels":[],"label_agreement":null},{"id":"W4408428230","doi":"10.5194/egusphere-egu25-13119","title":"Fantastic Models and How to Find Them: A Literature Review on Model Selection Practices","year":2025,"lang":"en","type":"review","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Selection (genetic algorithm); Model selection; Computer science; Artificial intelligence","score_opus":0.12065597443158976,"score_gpt":0.3720852605512304,"score_spread":0.25142928611964066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408428230","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074224262,0.77870435,0.17276919,0.023030065,0.00083034846,0.0002717569,0.0014055368,0.0010904986,0.01447589],"genre_scores_gemma":[0.0786128,0.6995783,0.21061483,0.0036889024,0.0007862333,0.00057605084,0.0028651727,0.00095353497,0.002324254],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98854876,0.0056633004,0.0015379523,0.0012900244,0.0027652667,0.00019471254],"domain_scores_gemma":[0.88630205,0.100236334,0.00324721,0.003010145,0.0066586975,0.00054550415],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.028201934,0.002420674,0.0025598055,0.0097036455,0.0011350617,0.0068883006,0.0072483933,0.0024661478,0.008114658],"category_scores_gemma":[0.09657696,0.0014521152,0.0037693349,0.009910731,0.0025771053,0.009772993,0.0035239442,0.0030876598,0.002537523],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009238183,0.000100729056,0.0055294866,0.025776282,0.0008121577,0.00028127496,0.002185082,0.028714612,0.0003400817,0.06370921,0.026398402,0.84606034],"study_design_scores_gemma":[0.0001224224,0.00026746854,0.004719592,0.076154746,0.0015908639,0.0010715452,0.0045494745,0.058296952,0.0019299783,0.2540166,0.59686744,0.00041284907],"about_ca_topic_score_codex":0.009067913,"about_ca_topic_score_gemma":0.0103382515,"teacher_disagreement_score":0.97179806,"about_ca_system_score_codex":0.0034634168,"about_ca_system_score_gemma":0.006251361,"threshold_uncertainty_score":0.14914787},"labels":[],"label_agreement":null},{"id":"W4408472249","doi":"10.1007/978-3-031-83472-1_23","title":"UpLIF: An Updatable Self-tuning Learned Index Framework","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Index (typography); Human–computer interaction; World Wide Web","score_opus":0.02094681599216188,"score_gpt":0.27332136194429923,"score_spread":0.2523745459521374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408472249","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007852285,0.0007279993,0.85067904,0.00019428048,0.0002774219,0.00021300069,0.0035045256,0.13095488,0.005596564],"genre_scores_gemma":[0.13770898,0.0005356389,0.8111007,0.0005019319,0.00019709246,0.0004491015,0.016057676,0.011776631,0.02167228],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911827,0.00006935991,0.00007009215,0.00023922451,0.00039288602,0.00011020516],"domain_scores_gemma":[0.9990669,0.00017680995,0.000043014217,0.00043740726,0.00020280601,0.00007305886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010075613,0.0010152527,0.0012148521,0.001813861,0.00079587096,0.0023385433,0.00422721,0.0010854711,0.017062182],"category_scores_gemma":[0.0042108768,0.00063197274,0.00087351835,0.0018571492,0.000577878,0.004626344,0.003482911,0.0017969119,0.008339465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084346643,0.0003353382,0.000991333,0.00032246116,0.0001137284,0.00012718613,0.00012878577,0.01778813,0.012203616,0.017449839,0.10442379,0.84527236],"study_design_scores_gemma":[0.00030290673,0.00020580553,0.0007958534,0.000101895996,0.00010363801,0.00034396525,0.00009922736,0.76120335,0.038096387,0.06709059,0.13150308,0.00015328967],"about_ca_topic_score_codex":0.008450668,"about_ca_topic_score_gemma":0.013423728,"teacher_disagreement_score":0.017062182,"about_ca_system_score_codex":0.0010106527,"about_ca_system_score_gemma":0.0016539554,"threshold_uncertainty_score":0.05707872},"labels":[],"label_agreement":null},{"id":"W4408486447","doi":"10.5194/egusphere-egu25-16927","title":"Guidelines for Working with Multi-Model Ensembles in CMIP","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Computer science","score_opus":0.29196768301779397,"score_gpt":0.3855394578553749,"score_spread":0.09357177483758095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408486447","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009513375,0.0045404234,0.93315643,0.009982214,0.0014762882,0.0016326571,0.008798139,0.010367517,0.029094905],"genre_scores_gemma":[0.0046100505,0.004364492,0.97102416,0.0018701259,0.00040047578,0.0027251474,0.0058256662,0.0043434254,0.0048363646],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9855106,0.008097407,0.0023923707,0.00067616743,0.0030095393,0.0003138718],"domain_scores_gemma":[0.95731515,0.01938586,0.001994989,0.007121485,0.01310472,0.0010777834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021025635,0.0020201162,0.0011224444,0.005453186,0.0018256874,0.0059469775,0.006919132,0.0054229167,0.026530204],"category_scores_gemma":[0.07763395,0.0018099414,0.0029244006,0.007067362,0.0016489853,0.007151133,0.0050697154,0.0074798833,0.032266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009546719,0.00021152034,0.0020173502,0.0039155236,0.00021882889,0.0009930322,0.002979452,0.022605723,0.004308949,0.19257742,0.49332768,0.27674907],"study_design_scores_gemma":[0.000036874117,0.000029648687,0.00073827605,0.0025918868,0.000051865725,0.00026347605,0.00036966085,0.010638579,0.0017387504,0.13229766,0.8511445,0.00009885883],"about_ca_topic_score_codex":0.006352253,"about_ca_topic_score_gemma":0.0100593325,"teacher_disagreement_score":0.026530204,"about_ca_system_score_codex":0.0013763898,"about_ca_system_score_gemma":0.0046325116,"threshold_uncertainty_score":0.111195564},"labels":[],"label_agreement":null},{"id":"W4408658163","doi":"10.63485/b36q4-gwf12","title":"Case study of a journal using OJS","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Computer science; Economics","score_opus":0.13016506411251483,"score_gpt":0.3486592309839953,"score_spread":0.2184941668714805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408658163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70084286,0.0032022598,0.008151066,0.02392758,0.001497038,0.0005369585,0.0006492262,0.00027181182,0.26092127],"genre_scores_gemma":[0.91469723,0.002738042,0.008614987,0.0044531017,0.00060463813,0.00023125985,0.00041550183,0.000267541,0.06797759],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9914562,0.0044282596,0.00050238124,0.0004767411,0.0019746542,0.0011617584],"domain_scores_gemma":[0.9723936,0.014166515,0.0019995458,0.0015810916,0.0032091646,0.0066500697],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0059696534,0.00058562896,0.0004733909,0.0058177416,0.01968364,0.009838952,0.0021221167,0.0055466415,0.014726987],"category_scores_gemma":[0.021785775,0.00045668535,0.00085132587,0.0072795437,0.0058989963,0.0076278234,0.0070950678,0.0029781442,0.0025276863],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007441476,0.0027098118,0.0395721,0.0014971632,0.00013640552,0.2984551,0.3120681,0.002424416,0.005327937,0.15651797,0.07378858,0.106758244],"study_design_scores_gemma":[0.000095815136,0.00041253993,0.010808361,0.0005686529,0.000063939835,0.026722062,0.3433949,0.0017313509,0.0018991554,0.0089027,0.60528433,0.00011607628],"about_ca_topic_score_codex":0.01432896,"about_ca_topic_score_gemma":0.026026057,"teacher_disagreement_score":0.99016106,"about_ca_system_score_codex":0.004817814,"about_ca_system_score_gemma":0.0048880926,"threshold_uncertainty_score":0.049266696},"labels":[],"label_agreement":null},{"id":"W4408662476","doi":"10.63485/j56jb-q3d39","title":"OA in Canada&amp;#39;s copyright consultation","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Economics","score_opus":0.026401755387035507,"score_gpt":0.2550933694334259,"score_spread":0.2286916140463904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408662476","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034546293,0.008094225,0.0007794897,0.38217402,0.015904834,0.00016508675,0.002112115,0.00041386837,0.58690184],"genre_scores_gemma":[0.029855154,0.003509412,0.0012071648,0.0783971,0.0014052461,0.0000801279,0.00066783413,0.0003130104,0.88456494],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98423487,0.00075290183,0.00039656035,0.00096294674,0.009378928,0.004273863],"domain_scores_gemma":[0.9731631,0.0024712249,0.00030124435,0.001074851,0.017763013,0.0052265017],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.008531632,0.00075664406,0.0010512603,0.0030669605,0.029008942,0.01868831,0.002658554,0.01527206,0.110498875],"category_scores_gemma":[0.024151973,0.0005692917,0.0011185718,0.0054420796,0.007357836,0.005526109,0.0044106077,0.009712993,0.014737577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000127365,0.000010709837,0.0001487703,0.00004513131,0.0000044225585,0.00014305557,0.0005460212,0.000056878725,0.00013565923,0.04521204,0.94544154,0.008243008],"study_design_scores_gemma":[0.0000033332071,0.0000017221305,0.00031847451,0.000048985417,0.000002696946,0.000012435114,0.00048493856,0.000030704614,0.000042205484,0.0011963986,0.99784756,0.000010559193],"about_ca_topic_score_codex":0.9741665,"about_ca_topic_score_gemma":0.98162466,"teacher_disagreement_score":0.99734145,"about_ca_system_score_codex":0.09868758,"about_ca_system_score_gemma":0.28692994,"threshold_uncertainty_score":0.7160319},"labels":[],"label_agreement":null},{"id":"W4408666281","doi":"10.63485/gx3qj-7m612","title":"Four presentations on OA in Canada","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Psychology; History","score_opus":0.04466607214764459,"score_gpt":0.27048325730027184,"score_spread":0.22581718515262725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408666281","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043984205,0.0939798,0.0021207759,0.09952105,0.13221066,0.00039448735,0.006878277,0.001257862,0.65923864],"genre_scores_gemma":[0.0101735005,0.021450128,0.00080045883,0.004900908,0.0042521334,0.00006675126,0.0017297976,0.00043106818,0.95619524],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961747,0.00013884577,0.000091770315,0.00033119446,0.0022100643,0.0010532768],"domain_scores_gemma":[0.9933681,0.00023479192,0.00008842379,0.00013306606,0.003407895,0.0027676993],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0023685193,0.001708709,0.0010766719,0.0052960236,0.0131327,0.010708524,0.0016830628,0.002760602,0.23738076],"category_scores_gemma":[0.004060199,0.0005664171,0.0010700377,0.009626948,0.0026203154,0.0036396093,0.0053534512,0.0033520355,0.038225044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029657662,0.000011518518,0.00020223083,0.000081401035,0.0000038336684,0.00008485325,0.00029653037,0.00005750807,0.00017203731,0.0024288015,0.97476065,0.021870956],"study_design_scores_gemma":[0.0000029378248,0.0000043355094,0.00047158083,0.00007262769,0.0000030315034,0.000020522148,0.0005064168,0.00001231407,0.000042146236,0.00022317696,0.99863106,0.000009836957],"about_ca_topic_score_codex":0.85817,"about_ca_topic_score_gemma":0.96904826,"teacher_disagreement_score":0.99831694,"about_ca_system_score_codex":0.051944118,"about_ca_system_score_gemma":0.07140211,"threshold_uncertainty_score":0.79411775},"labels":[],"label_agreement":null},{"id":"W4408693557","doi":"10.1007/978-3-662-70810-1_6","title":"Pattern Discovery and Validation Using Scientific Research Methods","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Information retrieval; Data science; Data mining","score_opus":0.10774420219712094,"score_gpt":0.40428881294540187,"score_spread":0.2965446107482809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408693557","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047794348,0.0006230073,0.98748624,0.00061100145,0.00009559658,0.0004994121,0.0006142335,0.0017711169,0.0035198939],"genre_scores_gemma":[0.044746067,0.0006729927,0.94734573,0.00018490091,0.000078099125,0.0006862136,0.0026376348,0.0004408329,0.0032075455],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9480967,0.023637427,0.005681959,0.0062894844,0.015599042,0.00069535896],"domain_scores_gemma":[0.8095533,0.13076493,0.006185606,0.032620773,0.020058297,0.000817154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.049388383,0.0017168942,0.0024423283,0.012456039,0.0020769404,0.009283968,0.005518556,0.0025711628,0.008237765],"category_scores_gemma":[0.1351708,0.0012921541,0.0051311846,0.007929381,0.0032684898,0.009005458,0.0050417436,0.0026164216,0.0042283335],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037186284,0.0004306442,0.011206824,0.0024477218,0.0010350113,0.00042828222,0.0011189112,0.01667561,0.0071610287,0.14184779,0.010005794,0.8072705],"study_design_scores_gemma":[0.00019173557,0.00022580533,0.0035771914,0.0013126562,0.00080347614,0.00093739585,0.00086683786,0.40445578,0.0329561,0.49453318,0.05999531,0.00014455346],"about_ca_topic_score_codex":0.0022754734,"about_ca_topic_score_gemma":0.0025563766,"teacher_disagreement_score":0.049388383,"about_ca_system_score_codex":0.0019269346,"about_ca_system_score_gemma":0.0074797235,"threshold_uncertainty_score":0.2611938},"labels":[],"label_agreement":null},{"id":"W4408720089","doi":"10.63485/j0vp5-7nv19","title":"Presentation on OA in the sciences","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Computer science; Psychology; Medicine; Surgery","score_opus":0.08021335977839715,"score_gpt":0.34600044027948723,"score_spread":0.26578708050109007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408720089","genre_codex":"editorial","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013790961,0.018376982,0.005710114,0.1661671,0.46254665,0.00038814702,0.004106687,0.0016688312,0.33965635],"genre_scores_gemma":[0.006647843,0.008013386,0.000671676,0.010234334,0.105765,0.00011679684,0.0012935787,0.0005449076,0.86671245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989889,0.000101607904,0.000039515347,0.0001991913,0.00049189676,0.00017883],"domain_scores_gemma":[0.9969181,0.0004024971,0.00008292902,0.00014360396,0.001184316,0.0012686554],"candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020346688,0.0017696838,0.001190918,0.0029081465,0.0030660888,0.0078751305,0.0012788897,0.002899476,0.32772285],"category_scores_gemma":[0.004476465,0.0003322414,0.0010996767,0.0023921006,0.0008939587,0.0042344416,0.00444986,0.004585964,0.11935415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021962942,0.000009271004,0.000025110734,0.000041401312,0.0000028263103,0.000025010977,0.000022481077,0.000029357674,0.00017438502,0.0019881502,0.9915241,0.0061360523],"study_design_scores_gemma":[0.000013740352,0.000019040457,0.00022497372,0.0000810447,0.000008527886,0.0000294698,0.000059656122,0.00010134956,0.00013434715,0.0019794148,0.9973406,0.000007838991],"about_ca_topic_score_codex":0.008809826,"about_ca_topic_score_gemma":0.02138344,"teacher_disagreement_score":0.9987211,"about_ca_system_score_codex":0.004432978,"about_ca_system_score_gemma":0.00255212,"threshold_uncertainty_score":0.9589218},"labels":[],"label_agreement":null},{"id":"W4408730139","doi":"10.63485/ygyzh-s9f32","title":"OA at Concordia University","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traditional medicine; Chemistry; Medicine","score_opus":0.03039877277301539,"score_gpt":0.23013725448022837,"score_spread":0.19973848170721298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408730139","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003196786,0.006022526,0.0010120476,0.010018325,0.0036076051,0.00007501296,0.0024969461,0.001889647,0.9716812],"genre_scores_gemma":[0.005241123,0.0009912628,0.00044401578,0.00054389966,0.0002747518,0.000016589243,0.0006985488,0.00028984252,0.99149984],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879694,0.000103044884,0.000052259416,0.00038093483,0.00045568674,0.00021112227],"domain_scores_gemma":[0.99823207,0.00011608085,0.00006734808,0.00029241786,0.00065811904,0.00063404266],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009321567,0.00066892063,0.00086542877,0.0027825532,0.0034476765,0.0066720718,0.0010546553,0.001479494,0.4945063],"category_scores_gemma":[0.0032190399,0.00037737068,0.0004268696,0.0029202993,0.0008135227,0.0027423536,0.0036906728,0.0011167997,0.31354553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070136804,0.000060912735,0.00072426395,0.0001661875,0.000008977322,0.00019813458,0.00028186128,0.0000806594,0.00052060693,0.021468045,0.8488199,0.12760018],"study_design_scores_gemma":[0.000004054025,0.000007211659,0.0007979542,0.000069748865,0.0000022064992,0.000038214486,0.000086436026,0.000050494677,0.00017816995,0.0010300811,0.9977308,0.0000045645093],"about_ca_topic_score_codex":0.027954476,"about_ca_topic_score_gemma":0.06366658,"teacher_disagreement_score":0.99894536,"about_ca_system_score_codex":0.0052053467,"about_ca_system_score_gemma":0.0049910475,"threshold_uncertainty_score":0.7210254},"labels":[],"label_agreement":null},{"id":"W4408751047","doi":"10.63485/hfgk2-d4g87","title":"CLA position statement on OA","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Position statement; Statement (logic); Position (finance); Business; Political science; Medicine; Law; Finance; Family medicine","score_opus":0.04090967971221619,"score_gpt":0.28912343722639017,"score_spread":0.24821375751417396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408751047","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027760345,0.002566427,0.0013857656,0.25030744,0.17119333,0.0003278895,0.0044006077,0.0014661127,0.5680748],"genre_scores_gemma":[0.0020977037,0.0008273291,0.0006165165,0.0666688,0.013936676,0.00013610093,0.0011255179,0.001391891,0.9131994],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9864828,0.0006218518,0.000567201,0.0011910128,0.008823023,0.0023141657],"domain_scores_gemma":[0.9627946,0.0027613305,0.0008386014,0.0016674597,0.026474943,0.0054630456],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0064292722,0.0014286614,0.0016670347,0.004340321,0.013597875,0.015521744,0.0035744384,0.01716069,0.41105264],"category_scores_gemma":[0.0360804,0.00091944943,0.0016187084,0.005310747,0.003151288,0.0075326613,0.0059322137,0.016333247,0.32841432],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005067054,0.0000023792627,0.000011093449,0.000014232864,6.0293127e-7,0.000014154313,0.000025536803,0.000003069753,0.000041580424,0.002098914,0.9963247,0.0014586792],"study_design_scores_gemma":[0.0000023529574,0.0000019839867,0.00005092968,0.00004116124,0.0000012806075,0.00000877802,0.000048926493,0.000007583728,0.0000461828,0.00020465671,0.99957806,0.000008156041],"about_ca_topic_score_codex":0.36091822,"about_ca_topic_score_gemma":0.48860848,"teacher_disagreement_score":0.99642557,"about_ca_system_score_codex":0.026485238,"about_ca_system_score_gemma":0.037405245,"threshold_uncertainty_score":0.8400619},"labels":[],"label_agreement":null},{"id":"W4408760797","doi":"10.63485/jgt02-rw362","title":"Preview of the CLA statement on OA","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Statement (logic); Business; Political science; Law","score_opus":0.061409224483108496,"score_gpt":0.29831761995356887,"score_spread":0.2369083954704604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408760797","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00058205094,0.004450641,0.002892011,0.1691937,0.12154899,0.00039955488,0.009035088,0.0019594694,0.6899386],"genre_scores_gemma":[0.0046186633,0.001349674,0.00095377106,0.050703313,0.017548956,0.00022572272,0.00218544,0.0014373948,0.92097694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946766,0.0003922174,0.00028873738,0.00046252934,0.0033916216,0.00078831956],"domain_scores_gemma":[0.9865058,0.002195598,0.0003979149,0.00076086604,0.008774288,0.0013654325],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003548366,0.0010254234,0.0009497708,0.0053309156,0.0066787186,0.008552902,0.0023434155,0.00823301,0.31689242],"category_scores_gemma":[0.021206792,0.0006562196,0.00091768586,0.004654085,0.0021003825,0.0052940645,0.0040436564,0.008611036,0.18000162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006681292,0.0000039375773,0.000015924743,0.00003320131,6.3751776e-7,0.000023574554,0.00006445161,0.000009220068,0.000082386774,0.0049925596,0.9917312,0.0030361516],"study_design_scores_gemma":[0.0000022398046,0.0000020529585,0.00010243412,0.000067173,7.918824e-7,0.000012483767,0.000064800486,0.000012025574,0.00004810757,0.0003868571,0.9992937,0.0000072910834],"about_ca_topic_score_codex":0.17319107,"about_ca_topic_score_gemma":0.25739092,"teacher_disagreement_score":0.9976566,"about_ca_system_score_codex":0.011495875,"about_ca_system_score_gemma":0.0125370715,"threshold_uncertainty_score":0.97437006},"labels":[],"label_agreement":null},{"id":"W4408768572","doi":"10.63485/9vnsr-5te02","title":"York U.&amp;#39;s efforts for OA","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.07402866581401782,"score_gpt":0.29444297556138777,"score_spread":0.22041430974736995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408768572","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015419046,0.010264929,0.0012711365,0.08364637,0.0045715068,0.00007080174,0.0035058798,0.00067939376,0.89444804],"genre_scores_gemma":[0.004941127,0.003491342,0.0010327988,0.0022093786,0.00025146027,0.000037449056,0.0005377809,0.00021743155,0.98728114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988279,0.00006001897,0.000050743645,0.0001878184,0.00064605224,0.00022743523],"domain_scores_gemma":[0.9983431,0.00023221223,0.00006269494,0.00017199569,0.0007142947,0.00047564908],"candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012791979,0.0007709552,0.0005745742,0.002016597,0.009920402,0.011106815,0.00070648466,0.0036401418,0.34077397],"category_scores_gemma":[0.003890888,0.0005059781,0.0006124376,0.0037245192,0.003198435,0.006996361,0.0042027645,0.0035154182,0.0761562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020604297,0.000009745979,0.00024288367,0.00006837937,0.0000035304665,0.00009372568,0.00030853937,0.000033421406,0.00021390525,0.084754646,0.87872326,0.03552735],"study_design_scores_gemma":[0.000003000297,0.0000017675826,0.00032861938,0.000039901584,0.0000015718656,0.000009354114,0.00016008774,0.000017201995,0.00004612523,0.0017125921,0.99767536,0.000004440541],"about_ca_topic_score_codex":0.64735186,"about_ca_topic_score_gemma":0.7741142,"teacher_disagreement_score":0.9992935,"about_ca_system_score_codex":0.018231714,"about_ca_system_score_gemma":0.02914554,"threshold_uncertainty_score":0.94030595},"labels":[],"label_agreement":null},{"id":"W4408772172","doi":"10.63485/dweq8-dkn72","title":"Comments on Canadian call for OA to publicly-funded research","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.2732713739801964,"score_gpt":0.4109221882694766,"score_spread":0.13765081428928017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408772172","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006382596,0.00262107,0.0006211837,0.8622766,0.038133483,0.00022701023,0.0041443044,0.0007145425,0.090623654],"genre_scores_gemma":[0.00790137,0.0020029002,0.0019232327,0.56342435,0.005628743,0.00029511578,0.0025298542,0.0011166035,0.41517776],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9118562,0.005086378,0.0032581082,0.003783038,0.06384425,0.012172043],"domain_scores_gemma":[0.7996697,0.033285696,0.0036847806,0.008190619,0.13409793,0.021071205],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.039000798,0.0019842347,0.0025057136,0.0065947836,0.025796065,0.02042106,0.008128341,0.03444088,0.098994784],"category_scores_gemma":[0.15916571,0.0019331971,0.002917127,0.012665671,0.009096309,0.007997832,0.008769152,0.02874399,0.036239117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001435893,0.0000039843503,0.00005178059,0.000025906287,0.0000030205179,0.000053028605,0.00013472272,0.000012993062,0.00003670113,0.003530106,0.995109,0.001024233],"study_design_scores_gemma":[0.000012759455,0.0000033014348,0.00045330168,0.00007691848,0.0000095963915,0.000024408193,0.00044036392,0.000033618322,0.00010091312,0.0005950871,0.9982083,0.00004145987],"about_ca_topic_score_codex":0.9226942,"about_ca_topic_score_gemma":0.94502604,"teacher_disagreement_score":0.99187165,"about_ca_system_score_codex":0.12394196,"about_ca_system_score_gemma":0.30243078,"threshold_uncertainty_score":0.89926606},"labels":[],"label_agreement":null},{"id":"W4408775622","doi":"10.63485/sdyzz-aa292","title":"The Canadian OA movement, Part I","year":2008,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Movement (music); Physical medicine and rehabilitation; Medicine; Art; Aesthetics","score_opus":0.03996720939610678,"score_gpt":0.25037575186874184,"score_spread":0.21040854247263505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408775622","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010350491,0.035081252,0.0024089308,0.20357896,0.012700887,0.00009946724,0.0018977647,0.0002643684,0.73361796],"genre_scores_gemma":[0.12142239,0.02586527,0.0021475868,0.033220265,0.0018272288,0.00007448707,0.0011412881,0.0003796816,0.8139219],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.992178,0.00037879025,0.000116254494,0.00077451934,0.0042275833,0.0023248626],"domain_scores_gemma":[0.99214315,0.00056126824,0.00023469637,0.00024253216,0.00479996,0.0020184086],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0029896605,0.00074555667,0.00043853276,0.003965013,0.02847954,0.016299963,0.0017805201,0.0031182794,0.026873725],"category_scores_gemma":[0.0061946013,0.00043783872,0.00047104998,0.007070842,0.011181283,0.004384913,0.0038528007,0.005007109,0.0035427646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000030469246,0.0000207579,0.0020074993,0.00017113613,0.000014966233,0.00021814372,0.013486837,0.00013018082,0.0004032018,0.23980553,0.68979084,0.053920407],"study_design_scores_gemma":[9.755594e-7,0.000002128561,0.0011977492,0.00009650981,0.000003116498,0.000025905278,0.0027090723,0.0000142177905,0.00007648196,0.0012909442,0.99457127,0.00001162885],"about_ca_topic_score_codex":0.98564595,"about_ca_topic_score_gemma":0.9924426,"teacher_disagreement_score":0.9982195,"about_ca_system_score_codex":0.14892283,"about_ca_system_score_gemma":0.22313753,"threshold_uncertainty_score":0.98712885},"labels":[],"label_agreement":null},{"id":"W4408792591","doi":"10.1109/mc.2025.3526135","title":"Information Fusion: A Decade of Innovations in Biometric Multimodal Research","year":2025,"lang":"en","type":"article","venue":"Computer","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biometrics; Information fusion; Computer science; Data science; Artificial intelligence","score_opus":0.05104689763740636,"score_gpt":0.3568731693073586,"score_spread":0.30582627166995224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408792591","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014347078,0.48435253,0.4416252,0.021784961,0.0021412608,0.00009268185,0.00033795054,0.0007969018,0.0345214],"genre_scores_gemma":[0.3264493,0.4251715,0.21755946,0.008388774,0.008700725,0.0002743651,0.00078711647,0.00036645864,0.01230245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99711215,0.0010109412,0.00018411757,0.0005173733,0.0010395608,0.0001358354],"domain_scores_gemma":[0.99411196,0.0038526256,0.0002813977,0.00056429213,0.0010440586,0.00014563094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057622567,0.0008496006,0.0016641595,0.0035555656,0.0006345665,0.003606597,0.0011060386,0.0018647405,0.0034145683],"category_scores_gemma":[0.00942286,0.0003612689,0.00081731647,0.0040394547,0.0028248215,0.0074966853,0.0027810864,0.0023562373,0.0011798077],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020762252,0.00008902966,0.0014575653,0.0018079936,0.0001386162,0.00012685734,0.00077253877,0.0025429253,0.0053744344,0.13013163,0.01080633,0.84654444],"study_design_scores_gemma":[0.00003883795,0.000500885,0.0046300595,0.0032348929,0.00022268084,0.0016347723,0.0018889101,0.04177575,0.012268712,0.4276115,0.5059322,0.00026080475],"about_ca_topic_score_codex":0.0009743065,"about_ca_topic_score_gemma":0.0006331275,"teacher_disagreement_score":0.0057622567,"about_ca_system_score_codex":0.0018304872,"about_ca_system_score_gemma":0.0012397523,"threshold_uncertainty_score":0.030474126},"labels":[],"label_agreement":null},{"id":"W4408805936","doi":"10.63485/a235z-2et86","title":"An OA repository for Canada&amp;#39;s National Research Council","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Research council; Political science; Library science; Public administration; Computer science; Government (linguistics)","score_opus":0.3065956566428033,"score_gpt":0.39552700511232636,"score_spread":0.08893134846952305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408805936","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007357285,0.0026757652,0.012216771,0.006789415,0.0023050914,0.00047664245,0.3517463,0.040194396,0.5828599],"genre_scores_gemma":[0.0035192089,0.0037305201,0.016474452,0.0009581655,0.00035998996,0.00020546922,0.21796517,0.014953651,0.7418333],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963362,0.00017133218,0.00029184303,0.00034155685,0.0023924587,0.00046662628],"domain_scores_gemma":[0.9643685,0.0015407123,0.000711179,0.0057174875,0.022429641,0.0052324454],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037702392,0.001564522,0.0023560468,0.014795719,0.0070706415,0.016315896,0.004198512,0.0025125567,0.48225802],"category_scores_gemma":[0.018727418,0.0014368192,0.0010487185,0.041288275,0.0020215337,0.008347162,0.0044131815,0.0027225618,0.44453636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020631696,0.000017354703,0.00013360845,0.00012264296,0.000004410187,0.000032902393,0.00008052685,0.000042003012,0.00017093182,0.0034242258,0.9636076,0.03234318],"study_design_scores_gemma":[0.000007478201,0.0000031775262,0.00048338049,0.00008455842,0.000003807588,0.000018601735,0.000081528924,0.00006422249,0.0001065755,0.00061500375,0.9985154,0.000016187443],"about_ca_topic_score_codex":0.73844236,"about_ca_topic_score_gemma":0.8014098,"teacher_disagreement_score":0.9958015,"about_ca_system_score_codex":0.018072724,"about_ca_system_score_gemma":0.06253186,"threshold_uncertainty_score":0.73849607},"labels":[],"label_agreement":null},{"id":"W4408814915","doi":"10.63485/nwbc1-8ap63","title":"Heather Joseph on OA strategies","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology","score_opus":0.04355522256976048,"score_gpt":0.307739620580737,"score_spread":0.26418439801097654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408814915","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001877501,0.08109844,0.0044474327,0.55320674,0.013708338,0.00003894931,0.00010644915,0.00014066078,0.34537554],"genre_scores_gemma":[0.13144243,0.07895198,0.0043555237,0.19273737,0.009437348,0.00019582137,0.00013564577,0.00046978774,0.58227414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965011,0.0013517619,0.00010906558,0.00042162745,0.0011825613,0.0004338542],"domain_scores_gemma":[0.99612087,0.001967948,0.00012524001,0.00028428304,0.000844853,0.00065668114],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0034269355,0.00053103716,0.00040732432,0.0015150706,0.0047442922,0.008635425,0.0008249627,0.005239264,0.027675506],"category_scores_gemma":[0.009528226,0.00027290033,0.00031936765,0.0015637134,0.0064644697,0.015484555,0.0037455768,0.007435545,0.0060987384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001423152,0.00002030395,0.00009128535,0.00007602123,0.000004890103,0.00004499785,0.0016998549,0.000051536546,0.000116237454,0.45709416,0.51243675,0.028349731],"study_design_scores_gemma":[0.000006148338,0.000005662343,0.00009645873,0.00019220174,0.0000023933399,0.000036649228,0.0011114542,0.00005310796,0.000119579105,0.054106824,0.9442597,0.000009742191],"about_ca_topic_score_codex":0.015964491,"about_ca_topic_score_gemma":0.02122223,"teacher_disagreement_score":0.999175,"about_ca_system_score_codex":0.0059569874,"about_ca_system_score_gemma":0.004100749,"threshold_uncertainty_score":0.092583776},"labels":[],"label_agreement":null},{"id":"W4408816533","doi":"10.5194/oos2025-1164","title":"Contributions of OBIS and GOOS to CBD and BBNJ","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Engineering","score_opus":0.014883657557072674,"score_gpt":0.2920058284618094,"score_spread":0.27712217090473673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408816533","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024077533,0.0068508512,0.016574277,0.15301172,0.025066221,0.0031022676,0.011728622,0.0019390975,0.7576494],"genre_scores_gemma":[0.27106193,0.010398833,0.06551857,0.08796745,0.005617245,0.0058601317,0.031368364,0.002819021,0.51938844],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9758209,0.0046697403,0.0017286827,0.0017367705,0.009537506,0.006506377],"domain_scores_gemma":[0.94822586,0.0045203613,0.0018991237,0.0038416272,0.024634745,0.016878258],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.022079658,0.0012149852,0.0014583485,0.008838018,0.0073401756,0.020515693,0.005508971,0.0051897895,0.046562906],"category_scores_gemma":[0.04356527,0.0013177119,0.00091679924,0.0074280603,0.0040615476,0.0043227747,0.029111087,0.009505069,0.00814287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045089648,0.00040282184,0.014467109,0.0012444083,0.00012913633,0.0010669788,0.0024482633,0.0028988407,0.0013018094,0.31982914,0.46740305,0.18835744],"study_design_scores_gemma":[0.000023370163,0.000013051367,0.0033180937,0.00037610583,0.0000128250185,0.000055151115,0.00084841833,0.00046120316,0.00015517556,0.0043234546,0.99039125,0.000021935171],"about_ca_topic_score_codex":0.19805418,"about_ca_topic_score_gemma":0.11453502,"teacher_disagreement_score":0.9794843,"about_ca_system_score_codex":0.026662089,"about_ca_system_score_gemma":0.11299856,"threshold_uncertainty_score":0.39380276},"labels":[],"label_agreement":null},{"id":"W4408817944","doi":"10.63485/fe4vs-2tw04","title":"OA to Anthropologica backfile","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.04992541920990587,"score_gpt":0.3349054172636379,"score_spread":0.284979998053732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408817944","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023047042,0.0018631526,0.030383656,0.009056356,0.009285646,0.00069977954,0.29952338,0.072173856,0.5747095],"genre_scores_gemma":[0.02626581,0.004879558,0.038513996,0.0047262236,0.0061984193,0.00116136,0.35252982,0.10537096,0.46035388],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951154,0.0007317202,0.00064904976,0.00056794094,0.002216838,0.0007191568],"domain_scores_gemma":[0.96664333,0.0068879724,0.0010954692,0.010614276,0.012306565,0.0024524445],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005059288,0.0017258731,0.0019438223,0.02369322,0.0044665947,0.017076943,0.002562747,0.0020166833,0.4803312],"category_scores_gemma":[0.034108885,0.0015855733,0.0012309579,0.024109915,0.0023526675,0.010907013,0.009432132,0.0038404614,0.31150034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010538505,0.000029260495,0.00047482224,0.0004149716,0.000014074434,0.00018376466,0.0004687516,0.000091512025,0.00047205543,0.01355552,0.93506706,0.049122836],"study_design_scores_gemma":[0.00000996022,0.0000019619422,0.00026714418,0.00009359765,0.0000029636876,0.000029100827,0.00011211394,0.00007938622,0.00017228923,0.0018952729,0.9973278,0.000008325203],"about_ca_topic_score_codex":0.11763479,"about_ca_topic_score_gemma":0.09814824,"teacher_disagreement_score":0.99743724,"about_ca_system_score_codex":0.0081959795,"about_ca_system_score_gemma":0.013490551,"threshold_uncertainty_score":0.74124444},"labels":[],"label_agreement":null},{"id":"W4408827534","doi":"10.63485/ng42c-erm61","title":"New blog for OA to public data in Canada","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Political science; Computer science","score_opus":0.11925355694228426,"score_gpt":0.31695942194739174,"score_spread":0.19770586500510748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408827534","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045467103,0.007904122,0.0031283598,0.12206939,0.017745096,0.00028156338,0.056083683,0.0063221427,0.7819189],"genre_scores_gemma":[0.019423377,0.005649387,0.0034810174,0.017709745,0.0018966211,0.00011992108,0.017436238,0.0025949574,0.93168867],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99681747,0.00013033312,0.000093575356,0.00021543083,0.0020256015,0.0007176126],"domain_scores_gemma":[0.9890143,0.0013575291,0.00023300524,0.0007605152,0.004753239,0.0038814177],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0024947145,0.0007659938,0.0008388858,0.006286878,0.014348341,0.014913822,0.0017719733,0.002651812,0.173427],"category_scores_gemma":[0.010094145,0.0006282667,0.0006092181,0.013069057,0.0040300484,0.006837804,0.004680005,0.0038567227,0.03208708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015464611,0.000009568408,0.00021445651,0.000034300705,0.000002944952,0.000051490675,0.0002603677,0.00003231183,0.000095374104,0.007281758,0.9795473,0.012454644],"study_design_scores_gemma":[0.0000026903137,0.0000011502802,0.0003361671,0.000024949924,0.0000012407463,0.000007732768,0.0002538321,0.000024391098,0.000028069377,0.0003380678,0.9989742,0.000007519463],"about_ca_topic_score_codex":0.9586141,"about_ca_topic_score_gemma":0.9824462,"teacher_disagreement_score":0.998228,"about_ca_system_score_codex":0.059097037,"about_ca_system_score_gemma":0.11367037,"threshold_uncertainty_score":0.5801711},"labels":[],"label_agreement":null},{"id":"W4408833913","doi":"10.63485/frzvr-88e17","title":"Presentations from the Ottawa OA workshop","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","score_opus":0.0552765010989477,"score_gpt":0.32021168881143464,"score_spread":0.2649351877124869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408833913","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078113778,0.042646144,0.005801185,0.20397216,0.16280648,0.00066434644,0.012762649,0.0015514783,0.5619842],"genre_scores_gemma":[0.00903281,0.005997793,0.0010899692,0.004128712,0.004462164,0.00010513376,0.0030195375,0.00042300008,0.97174084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99671173,0.00035770863,0.00013956109,0.0005016938,0.0015248529,0.0007643324],"domain_scores_gemma":[0.9956137,0.00027727184,0.00008023726,0.00019456688,0.001663132,0.0021710277],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.003695961,0.0018359281,0.0010348221,0.0018631774,0.0063864137,0.010713561,0.0022317106,0.0037799822,0.2607066],"category_scores_gemma":[0.004388737,0.0004916204,0.001029619,0.0021282264,0.0018711595,0.004189081,0.0049484507,0.0036617094,0.08790006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080785496,0.000024316865,0.000102231184,0.00007514641,0.000005526592,0.00008590694,0.00028767443,0.000092951705,0.00030997765,0.0026774073,0.980961,0.015297082],"study_design_scores_gemma":[0.0000073762826,0.000009224487,0.0002740045,0.00007185199,0.0000045987836,0.000019324376,0.0004921493,0.000046790756,0.000121950274,0.0007616334,0.9981773,0.000013824056],"about_ca_topic_score_codex":0.20377107,"about_ca_topic_score_gemma":0.502267,"teacher_disagreement_score":0.9977683,"about_ca_system_score_codex":0.018028267,"about_ca_system_score_gemma":0.016632346,"threshold_uncertainty_score":0.8721505},"labels":[],"label_agreement":null},{"id":"W4408838773","doi":"10.63485/wnt2t-5qp02","title":"Two OA talks at CHLA meeting","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.034695295813186526,"score_gpt":0.29965398984567604,"score_spread":0.2649586940324895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408838773","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013360008,0.0070860665,0.0060471604,0.3138478,0.33424336,0.0004904026,0.005876722,0.001957724,0.3170907],"genre_scores_gemma":[0.039097704,0.0015548379,0.0019309513,0.03576202,0.034696322,0.00045315796,0.0030109992,0.0017483055,0.88174576],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9937063,0.001172358,0.0001825491,0.00062076555,0.0028146764,0.0015033261],"domain_scores_gemma":[0.98552495,0.0017893136,0.000273959,0.0006917448,0.003964104,0.0077558463],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.007787581,0.0012140498,0.001036774,0.0040582404,0.015443153,0.012260841,0.0011623789,0.004852697,0.116428755],"category_scores_gemma":[0.017742265,0.00051961234,0.0020005314,0.0031747962,0.0033135328,0.0053231036,0.010869622,0.008989429,0.038618155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002192147,0.00006088109,0.00034223663,0.00006722555,0.000011623339,0.00029859575,0.0017357889,0.000035926456,0.0005066856,0.005167759,0.97888947,0.012664531],"study_design_scores_gemma":[0.000020629403,0.000026931639,0.000721156,0.000057685684,0.000005984434,0.00004398069,0.0019271723,0.0000334786,0.00014317172,0.0012081607,0.99578553,0.000026113497],"about_ca_topic_score_codex":0.017960725,"about_ca_topic_score_gemma":0.066578716,"teacher_disagreement_score":0.98773915,"about_ca_system_score_codex":0.010277033,"about_ca_system_score_gemma":0.006936703,"threshold_uncertainty_score":0.389493},"labels":[],"label_agreement":null},{"id":"W4408838843","doi":"10.63485/geyxt-964","title":"From an editor of an OA journal","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology","score_opus":0.0289375504574771,"score_gpt":0.3163508899294768,"score_spread":0.2874133394719997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408838843","genre_codex":"editorial","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011507072,0.006856037,0.0001708622,0.05566208,0.93243223,0.000015036997,0.000060173472,0.000059267626,0.004629187],"genre_scores_gemma":[0.0024498608,0.011211591,0.00038041215,0.05141097,0.876764,0.0000319874,0.00014928613,0.00016783283,0.057434056],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949062,0.0006191074,0.0007027365,0.0006480849,0.0026636582,0.00046027816],"domain_scores_gemma":[0.96854633,0.0044860803,0.0014406592,0.00092529645,0.01755478,0.007046814],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0046051177,0.0013621944,0.0012205295,0.0033734466,0.0035961405,0.0101377545,0.0019489318,0.0058382945,0.053467896],"category_scores_gemma":[0.03449842,0.00053449697,0.0012240922,0.0017526704,0.0015083316,0.005580423,0.0027344208,0.0069278367,0.02810396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025459269,0.0000079472475,0.00006733472,0.00013897418,0.000007238412,0.00016153144,0.00003270079,0.000011438799,0.00009715841,0.0003762801,0.9899859,0.009088025],"study_design_scores_gemma":[0.000009806364,0.000012508951,0.00012705036,0.00017608136,0.000008905113,0.00024492238,0.00006138513,0.000019609575,0.00006686839,0.00036426706,0.9989004,0.000008117961],"about_ca_topic_score_codex":0.0014578596,"about_ca_topic_score_gemma":0.005444878,"teacher_disagreement_score":0.98986226,"about_ca_system_score_codex":0.0021677795,"about_ca_system_score_gemma":0.0057611316,"threshold_uncertainty_score":0.17886794},"labels":[],"label_agreement":null},{"id":"W4408873768","doi":"10.63485/d0q3s-r8991","title":"OA at the U of British Columbia","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economic history; History","score_opus":0.023022406487281606,"score_gpt":0.25119674184372276,"score_spread":0.22817433535644116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408873768","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016173241,0.0029887788,0.00024463603,0.0051452694,0.001163193,0.000047619735,0.009918154,0.00049628003,0.97837865],"genre_scores_gemma":[0.0033714527,0.0008882844,0.00020453321,0.0004980432,0.00003450448,0.000015202581,0.0012852851,0.0001246037,0.9935781],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945,0.000034447687,0.000019852989,0.00013372701,0.0002146535,0.00014720413],"domain_scores_gemma":[0.99899644,0.000051772506,0.000023533708,0.00006679113,0.00056741823,0.00029396173],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003704659,0.00069233647,0.0006462892,0.0017373047,0.0081556775,0.005910422,0.00094203604,0.0022176576,0.62974864],"category_scores_gemma":[0.0015516558,0.00037957248,0.00039937694,0.0025562807,0.0007717152,0.0015900385,0.0021066924,0.0018800515,0.29433113],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005248199,0.000034765013,0.0010091929,0.00012502646,0.000009295348,0.00034044497,0.00019405685,0.000053624753,0.00034698917,0.008290046,0.9244504,0.0650936],"study_design_scores_gemma":[0.000004312829,0.0000037549885,0.0018072906,0.000116519084,0.0000035662863,0.00004037736,0.00028956207,0.000026419857,0.000103526945,0.0005269047,0.99706954,0.000008317572],"about_ca_topic_score_codex":0.6765673,"about_ca_topic_score_gemma":0.885007,"teacher_disagreement_score":0.99905795,"about_ca_system_score_codex":0.0098057045,"about_ca_system_score_gemma":0.015343907,"threshold_uncertainty_score":0.6506749},"labels":[],"label_agreement":null},{"id":"W4409010015","doi":"10.1287/trsc.2023.intro.v59.n2","title":"Special Issue on TSL Conference 2023","year":2025,"lang":"en","type":"article","venue":"Transportation Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Engineering; Operations research; Transport engineering; Computer science","score_opus":0.026732075799925505,"score_gpt":0.3030562876560336,"score_spread":0.2763242118561081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409010015","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010323963,0.0076755616,0.004133756,0.050447326,0.6815169,0.00044732337,0.0068470533,0.0024034881,0.24549614],"genre_scores_gemma":[0.003695151,0.005140423,0.0021068016,0.010335568,0.13095716,0.00035739894,0.011190409,0.0018299671,0.83438706],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970216,0.0004379717,0.0001932067,0.00032146636,0.001596601,0.00042910627],"domain_scores_gemma":[0.9909246,0.0009483693,0.0004229997,0.0006922407,0.0045887423,0.0024229842],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004493567,0.0021066742,0.0019473408,0.0047864844,0.002882476,0.012213792,0.002355064,0.004993333,0.4021943],"category_scores_gemma":[0.006587775,0.00058563845,0.0015404562,0.0031174968,0.0010378357,0.0057433043,0.004439125,0.004820343,0.25615388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025965508,0.000018002323,0.000034974048,0.00006693371,0.0000033959404,0.0000226269,0.0000049274786,0.000034354252,0.00009351019,0.0006258786,0.99117297,0.007896375],"study_design_scores_gemma":[0.0000117090285,0.000017414684,0.00017467052,0.00009588121,0.0000043909527,0.00002609663,0.000024402012,0.00016426377,0.00009217148,0.0011021098,0.99828005,0.000006837845],"about_ca_topic_score_codex":0.004986536,"about_ca_topic_score_gemma":0.014094591,"teacher_disagreement_score":0.4021943,"about_ca_system_score_codex":0.0034474996,"about_ca_system_score_gemma":0.0062495633,"threshold_uncertainty_score":0.85269725},"labels":[],"label_agreement":null},{"id":"W4409109802","doi":"10.26434/chemrxiv-2025-n1b4l","title":"Learning Advance: Robotics-LLM Guided Hypotheses Generation for the Discovery of Chemical Knowledge","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vector Institute; University of Toronto; Canadian Institute for Advanced Research","funders":"","keywords":"Artificial intelligence; Robotics; Computer science; Knowledge extraction; Data science; Knowledge management; Robot","score_opus":0.06695955676635396,"score_gpt":0.31637741146994874,"score_spread":0.2494178547035948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409109802","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031661855,0.0002106993,0.9933862,0.00043538623,0.000026133861,0.00012209863,0.00019827827,0.0013599865,0.0010950636],"genre_scores_gemma":[0.10693528,0.00030126682,0.88950086,0.00041687454,0.0000804227,0.0006495384,0.0009430574,0.0001931947,0.0009794931],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99671054,0.0015725397,0.00019861311,0.0006097706,0.000782693,0.00012586292],"domain_scores_gemma":[0.98974216,0.007497652,0.00058151,0.0011391855,0.00078418636,0.0002553526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006457169,0.0017607815,0.0014814931,0.0024577102,0.0007054271,0.0020494666,0.0032963194,0.001820962,0.0054862946],"category_scores_gemma":[0.020558571,0.0007481516,0.0021681231,0.0014251501,0.0023163182,0.0025288344,0.003947296,0.00300213,0.0014390964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048729862,0.0004302155,0.0034417354,0.0011622079,0.0004107859,0.00031629571,0.00043787816,0.42716366,0.0081611285,0.11481769,0.0074126553,0.43575844],"study_design_scores_gemma":[0.000046775287,0.00012506069,0.00023367934,0.000051616084,0.000034149314,0.00004998553,0.00003477251,0.88671523,0.0038630357,0.10432327,0.004502709,0.00001976002],"about_ca_topic_score_codex":0.0023539327,"about_ca_topic_score_gemma":0.00324464,"teacher_disagreement_score":0.006457169,"about_ca_system_score_codex":0.0016248425,"about_ca_system_score_gemma":0.003027511,"threshold_uncertainty_score":0.03414917},"labels":[],"label_agreement":null},{"id":"W4409183155","doi":"10.1007/978-3-031-88714-7_13","title":"LiT and Lean: Distilling Listwise Rerankers Into Encoder-Decoder Models","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encoder; Lean manufacturing; Parallel computing; Manufacturing engineering; Operating system; Engineering","score_opus":0.019965150891148635,"score_gpt":0.24984915054222265,"score_spread":0.229883999651074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409183155","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005872371,0.0011131719,0.9582705,0.000370242,0.00030381823,0.00014484125,0.0014518001,0.03050596,0.0019673037],"genre_scores_gemma":[0.09707882,0.0008768843,0.8687194,0.00068459957,0.00042201075,0.00040025005,0.009393489,0.003910079,0.018514464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790597,0.0008488616,0.00013643502,0.00056727644,0.00038369716,0.00015784307],"domain_scores_gemma":[0.99211544,0.0057493667,0.0002115465,0.00084776105,0.0009065455,0.0001692945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033268633,0.003041838,0.0022134907,0.0026645039,0.0009440221,0.002724384,0.0038727317,0.0032045783,0.014908744],"category_scores_gemma":[0.012110638,0.0018208772,0.0018266427,0.0027691398,0.00083673635,0.005314312,0.0019101277,0.004303505,0.012566031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050430134,0.00022874677,0.00052614644,0.0003182872,0.00021482418,0.00019631315,0.00015347831,0.13473149,0.004320542,0.014278396,0.04622496,0.7983025],"study_design_scores_gemma":[0.0000739107,0.00009856625,0.00008448734,0.000047438683,0.00005829318,0.000053836084,0.000034715158,0.96029335,0.003968216,0.030701825,0.0045511113,0.000034256216],"about_ca_topic_score_codex":0.014581661,"about_ca_topic_score_gemma":0.040243413,"teacher_disagreement_score":0.014908744,"about_ca_system_score_codex":0.001591204,"about_ca_system_score_gemma":0.0029334258,"threshold_uncertainty_score":0.049874663},"labels":[],"label_agreement":null},{"id":"W4409364836","doi":"10.1609/aaai.v39i14.33647","title":"Reasoning About Actual Causes in Nondeterministic Domains","year":2025,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Regina","funders":"York University; University of Regina","keywords":"Nondeterministic algorithm; Computer science; Artificial intelligence; Cognitive science; Psychology; Theoretical computer science","score_opus":0.05482580542092242,"score_gpt":0.3162511458401474,"score_spread":0.261425340419225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409364836","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028856479,0.0002731431,0.96467155,0.0012455359,0.00005832553,0.00009962809,0.00014527244,0.00047686772,0.0041732746],"genre_scores_gemma":[0.6436392,0.0005891571,0.3525826,0.0003751701,0.00014991999,0.0002108683,0.00040734737,0.00016655575,0.0018791065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9876901,0.005437325,0.0010953138,0.0019328515,0.0029049497,0.00093949755],"domain_scores_gemma":[0.96722156,0.025074294,0.0024638555,0.002919898,0.0018235289,0.0004968555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012560322,0.0011476399,0.001142843,0.0023174633,0.0026122252,0.0048952373,0.0025771484,0.0020493339,0.0026895327],"category_scores_gemma":[0.03727777,0.0013208363,0.0035589817,0.0013605569,0.0064896,0.0128650665,0.005566437,0.0050633484,0.00030396637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038531944,0.000033476463,0.0017417287,0.00011236799,0.00008057859,0.0004434082,0.0008678357,0.066872336,0.0008707842,0.9194172,0.0004458064,0.009076],"study_design_scores_gemma":[0.000016996304,0.000015747775,0.00025319387,0.000037396527,0.000049898495,0.00010564267,0.00022455533,0.10961504,0.0016202335,0.8840231,0.004007815,0.00003051133],"about_ca_topic_score_codex":0.0064050653,"about_ca_topic_score_gemma":0.007039775,"teacher_disagreement_score":0.012560322,"about_ca_system_score_codex":0.0027715361,"about_ca_system_score_gemma":0.003670264,"threshold_uncertainty_score":0.06642616},"labels":[],"label_agreement":null},{"id":"W4409455984","doi":"10.3390/axioms14040300","title":"Construction of Topic Hierarchy with Subtree Representation for Knowledge Graphs","year":2025,"lang":"en","type":"article","venue":"Axioms","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hierarchy; Representation (politics); Computer science; Knowledge graph; Theoretical computer science; Information retrieval; Natural language processing; Political science","score_opus":0.020231533391692976,"score_gpt":0.2894000634706743,"score_spread":0.26916853007898134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409455984","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015755372,0.0003871772,0.9785548,0.00032656896,0.000029190722,0.00014422914,0.0012814183,0.0012463181,0.002274919],"genre_scores_gemma":[0.28582913,0.00072951533,0.7042109,0.00014570115,0.00006262113,0.00046969124,0.0060184645,0.0003434729,0.0021905284],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869496,0.00042634446,0.00009858197,0.00035069874,0.0003317247,0.00009775511],"domain_scores_gemma":[0.9963086,0.0021003752,0.00032769446,0.0005817476,0.0005196966,0.00016177235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014706308,0.0006224099,0.0006389289,0.0049101934,0.0009734454,0.0020642283,0.0012830892,0.0011137866,0.0023903956],"category_scores_gemma":[0.0102254115,0.0006002128,0.0016329561,0.0051064347,0.0009426636,0.0039706156,0.001853287,0.0015524662,0.0008505876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002630382,0.0001886104,0.0076477313,0.0009464785,0.00019154952,0.0006721114,0.0040042326,0.17996551,0.010503594,0.33132654,0.022390231,0.44190043],"study_design_scores_gemma":[0.00003470539,0.000033386546,0.0009880638,0.00009421451,0.000069388385,0.00025155518,0.0004178908,0.74854434,0.0024382935,0.23394167,0.013159447,0.000027025288],"about_ca_topic_score_codex":0.0088576805,"about_ca_topic_score_gemma":0.014404469,"teacher_disagreement_score":0.0088576805,"about_ca_system_score_codex":0.0017008934,"about_ca_system_score_gemma":0.0022228677,"threshold_uncertainty_score":0.017612219},"labels":[],"label_agreement":null},{"id":"W4409534528","doi":"10.63485/szyba-y0s37","title":"OA support for the U of Alberta","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.03108921558587679,"score_gpt":0.2768503800675554,"score_spread":0.24576116448167862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409534528","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004681122,0.0048648235,0.0015582065,0.036275044,0.010562611,0.00018104106,0.008735826,0.0028669906,0.9302743],"genre_scores_gemma":[0.006583258,0.0010175571,0.001128704,0.001324243,0.0003678423,0.000024399287,0.0019640853,0.00031626935,0.9872737],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99685234,0.00012347527,0.00007290198,0.00038617005,0.0019691975,0.0005960375],"domain_scores_gemma":[0.992077,0.00028036276,0.00012884423,0.00042529954,0.0037788744,0.0033096801],"candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027083973,0.0006914354,0.0004771659,0.0022473573,0.0043657073,0.0075479476,0.001442802,0.0019187625,0.30112183],"category_scores_gemma":[0.004601019,0.00032868108,0.0004213752,0.00246467,0.0008624776,0.0015863185,0.0029731889,0.0014235651,0.077121906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010135784,0.000027100317,0.00051721075,0.00006110844,0.000006190922,0.0002699061,0.00016275735,0.000059355167,0.00069998065,0.012051342,0.9394896,0.046554152],"study_design_scores_gemma":[0.000006770619,0.00000678535,0.00057246763,0.000026050402,0.0000020101213,0.000027052221,0.00011160431,0.00003315339,0.00008416666,0.00024413966,0.9988809,0.0000048306097],"about_ca_topic_score_codex":0.6346655,"about_ca_topic_score_gemma":0.77023345,"teacher_disagreement_score":0.9985572,"about_ca_system_score_codex":0.012290026,"about_ca_system_score_gemma":0.04766963,"threshold_uncertainty_score":0.9968649},"labels":[],"label_agreement":null},{"id":"W4409547708","doi":"10.63485/8z92n-2z383","title":"Profile of CARL&amp;#39;s support for OA","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology","score_opus":0.06832940737027482,"score_gpt":0.32831935613337404,"score_spread":0.2599899487630992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409547708","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018500756,0.0046756677,0.0012585187,0.10730724,0.0064835157,0.00046350955,0.017261207,0.0023726777,0.8416769],"genre_scores_gemma":[0.024300097,0.0022941916,0.0007892171,0.008682937,0.0009718499,0.00014189823,0.0056935353,0.00060841645,0.95651793],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9948953,0.00022439002,0.0001852393,0.00025448797,0.0027931745,0.0016474244],"domain_scores_gemma":[0.96917623,0.00092040066,0.00066901016,0.00057014736,0.012436773,0.01622744],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0030259225,0.00042401793,0.0004471952,0.005161207,0.0046766745,0.0060861493,0.0010191838,0.0017306876,0.25963897],"category_scores_gemma":[0.012988242,0.0002721279,0.00041323257,0.0051282984,0.0006695288,0.0030188763,0.00267212,0.0017786202,0.11020238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007313879,0.000031521948,0.0035396935,0.00008437561,0.0000033102062,0.00017507476,0.00044712707,0.000024660894,0.00044380742,0.0025843484,0.9498412,0.042751666],"study_design_scores_gemma":[0.000004414627,0.000011210405,0.0027075026,0.000037411344,0.0000014607766,0.00006692989,0.00046686045,0.000030588635,0.00008203285,0.00010773373,0.9964779,0.000006020118],"about_ca_topic_score_codex":0.18058762,"about_ca_topic_score_gemma":0.26877838,"teacher_disagreement_score":0.9989808,"about_ca_system_score_codex":0.005418824,"about_ca_system_score_gemma":0.029092103,"threshold_uncertainty_score":0.86857885},"labels":[],"label_agreement":null},{"id":"W4409556324","doi":"10.63485/mmjxj-d4p78","title":"Michael Geist calls for OA to publicly-funded research in Canada","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geist; Political science; Library science; Philosophy; Computer science; Epistemology","score_opus":0.11760297025072002,"score_gpt":0.34990341043965295,"score_spread":0.23230044018893292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409556324","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030011728,0.008284919,0.0029455337,0.5606844,0.01919012,0.00045756894,0.006477012,0.00303948,0.39591968],"genre_scores_gemma":[0.0096495915,0.002340356,0.002168253,0.032876052,0.00070530985,0.00013808,0.0014992974,0.0004818574,0.95014125],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98801965,0.0006262928,0.00022434106,0.00088406,0.0074852603,0.0027603358],"domain_scores_gemma":[0.9602175,0.002231779,0.00078975304,0.002105487,0.018066848,0.016588662],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.008436153,0.00074430025,0.0013271562,0.0032872239,0.010279075,0.008232376,0.0025501614,0.008216579,0.17645192],"category_scores_gemma":[0.018492013,0.00066043396,0.0011890183,0.0045846603,0.0039761695,0.005035404,0.006383752,0.004556944,0.06365153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006494445,0.00002155994,0.00060777407,0.00005523483,0.00001270413,0.00013813812,0.00013789014,0.00004557271,0.00034494983,0.014719212,0.9668856,0.016966471],"study_design_scores_gemma":[0.00001567439,0.000009813528,0.0009865531,0.00004370126,0.0000051577813,0.000027235632,0.0002703385,0.00006552063,0.00015914298,0.0017268136,0.99667346,0.000016603855],"about_ca_topic_score_codex":0.8308569,"about_ca_topic_score_gemma":0.918723,"teacher_disagreement_score":0.9974498,"about_ca_system_score_codex":0.045878172,"about_ca_system_score_gemma":0.19922712,"threshold_uncertainty_score":0.5902905},"labels":[],"label_agreement":null},{"id":"W4409560996","doi":"10.63485/yz3nf-39b93","title":"CMAJ endorses OA for publicly-funded research","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Business","score_opus":0.18719988958764266,"score_gpt":0.3961099881460397,"score_spread":0.20891009855839704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409560996","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010723608,0.009803905,0.006576324,0.18956855,0.17552796,0.000504344,0.029659221,0.013496715,0.57379067],"genre_scores_gemma":[0.020551266,0.01014737,0.015493908,0.03773524,0.049405638,0.0011248955,0.028231448,0.008362421,0.8289479],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.97505265,0.0036550106,0.0021111195,0.0019657973,0.014186653,0.0030288936],"domain_scores_gemma":[0.85217154,0.031307217,0.0131860385,0.020523263,0.04564317,0.037168764],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.018895805,0.0010312079,0.001976186,0.009046005,0.0027178053,0.01542587,0.0033438157,0.007340953,0.568392],"category_scores_gemma":[0.12439028,0.0006777375,0.0012641059,0.016125964,0.0020508498,0.0067839404,0.0045636264,0.005165839,0.34782672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001245845,0.000023917148,0.00018728319,0.0003872238,0.000019190422,0.0000678775,0.00005293731,0.000014944362,0.00017024772,0.008339665,0.96271384,0.027898299],"study_design_scores_gemma":[0.000045235258,0.0000146686625,0.00035212882,0.00018140323,0.000015428777,0.00006501874,0.00007443922,0.00006691321,0.0001235188,0.0025086498,0.99654216,0.000010393557],"about_ca_topic_score_codex":0.005308989,"about_ca_topic_score_gemma":0.014044902,"teacher_disagreement_score":0.9966562,"about_ca_system_score_codex":0.0041743196,"about_ca_system_score_gemma":0.02149991,"threshold_uncertainty_score":0.61563647},"labels":[],"label_agreement":null},{"id":"W4409571282","doi":"10.63485/dnh88-qyt11","title":"Toronto workshop on OA journals","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","score_opus":0.052343410860536774,"score_gpt":0.31749982265242543,"score_spread":0.26515641179188865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409571282","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019160119,0.077439606,0.0039809123,0.0865687,0.065899506,0.00015944726,0.006802999,0.0018236124,0.75540924],"genre_scores_gemma":[0.0070243375,0.022872224,0.0019900932,0.0027093154,0.010269,0.000040310395,0.0032380756,0.0005672695,0.9512893],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996874,0.0003799216,0.0001625913,0.00041504158,0.0017017409,0.00046672634],"domain_scores_gemma":[0.99084634,0.0006776535,0.0003071699,0.0010600864,0.0031849241,0.0039237216],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040250216,0.0013838091,0.0011200262,0.008458334,0.0042297114,0.016448408,0.0020702868,0.0024839467,0.38430965],"category_scores_gemma":[0.0063878912,0.0006530462,0.0008104974,0.010099883,0.0018588699,0.009890973,0.005300816,0.002608785,0.14761457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029353356,0.000014345274,0.00013087213,0.00013615897,0.000005394814,0.000040474883,0.00012440121,0.00006672098,0.00023493805,0.014754425,0.9405024,0.043960504],"study_design_scores_gemma":[0.0000019721526,0.0000031882653,0.00014972157,0.000052880747,0.0000015838788,0.000014732973,0.00008315803,0.000019883966,0.000032781496,0.0010512893,0.9985858,0.0000029005744],"about_ca_topic_score_codex":0.054516543,"about_ca_topic_score_gemma":0.17559654,"teacher_disagreement_score":0.9979297,"about_ca_system_score_codex":0.009348959,"about_ca_system_score_gemma":0.013584297,"threshold_uncertainty_score":0.87820756},"labels":[],"label_agreement":null},{"id":"W4409576519","doi":"10.63485/sykgc-fky97","title":"Major book-scanning partners for OCA and Microsoft Book Search","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Art","score_opus":0.0401871358791015,"score_gpt":0.31888985860495106,"score_spread":0.27870272272584956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409576519","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019087976,0.016849164,0.060589455,0.0165817,0.002806156,0.001467325,0.04503972,0.052948017,0.7846304],"genre_scores_gemma":[0.07113873,0.0038394816,0.07166621,0.0020053037,0.00062243425,0.00029719423,0.038704846,0.011314752,0.80041105],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99716777,0.0003421909,0.00011038407,0.00042408003,0.0014803789,0.0004750692],"domain_scores_gemma":[0.9919497,0.0012514412,0.0003849938,0.0009525853,0.0029393588,0.0025219526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003928701,0.0011784262,0.0012736134,0.008764357,0.0036098065,0.006222451,0.0012351872,0.0019279987,0.2409399],"category_scores_gemma":[0.0089545185,0.0007132242,0.0007599649,0.012899297,0.0005172589,0.006727022,0.0026909807,0.0015886978,0.1250892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033562188,0.00013853192,0.0016244557,0.00021728572,0.00002478296,0.00011726794,0.00043482662,0.00010666712,0.002528102,0.0070749144,0.7539031,0.23349454],"study_design_scores_gemma":[0.00005534488,0.000056211185,0.0030607898,0.00007318572,0.000036896763,0.0002606069,0.0006079052,0.0012119439,0.007181633,0.0024465043,0.98496914,0.000039767965],"about_ca_topic_score_codex":0.0357186,"about_ca_topic_score_gemma":0.0729239,"teacher_disagreement_score":0.2409399,"about_ca_system_score_codex":0.0023916627,"about_ca_system_score_gemma":0.0061682463,"threshold_uncertainty_score":0.80602425},"labels":[],"label_agreement":null},{"id":"W4409577284","doi":"10.63485/8zycm-yxk45","title":"Three perspectives on OA","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.03125835765267656,"score_gpt":0.2685946278101343,"score_spread":0.23733627015745776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409577284","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032519766,0.101642355,0.03099052,0.45528778,0.010581886,0.000041079446,0.00021130069,0.00029644155,0.3976967],"genre_scores_gemma":[0.35968202,0.17990859,0.045293175,0.11822618,0.017489284,0.00042528796,0.0008424875,0.0013781821,0.27675483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98907685,0.0043129604,0.00062283775,0.001160852,0.00333207,0.0014944779],"domain_scores_gemma":[0.98550236,0.0050937133,0.0004958789,0.0025968018,0.003817257,0.0024938628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015331658,0.0011659425,0.0010634687,0.0054106605,0.007474151,0.031041672,0.0028569524,0.008608969,0.029277699],"category_scores_gemma":[0.016717326,0.00060045306,0.0011581188,0.005579698,0.025849355,0.04232034,0.014070683,0.012327446,0.004910168],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023022616,0.000014271761,0.000115201496,0.00012914954,0.0000060798607,0.00004784083,0.0023256466,0.00004774361,0.000084325344,0.95195603,0.023189295,0.022061251],"study_design_scores_gemma":[0.0000117739355,0.00001567096,0.00015552531,0.0006858026,0.000008328287,0.00011412077,0.0061309435,0.0001281392,0.00016095987,0.35471863,0.6378494,0.000020778914],"about_ca_topic_score_codex":0.012948208,"about_ca_topic_score_gemma":0.018641872,"teacher_disagreement_score":0.031041672,"about_ca_system_score_codex":0.00942388,"about_ca_system_score_gemma":0.010404695,"threshold_uncertainty_score":0.09794372},"labels":[],"label_agreement":null},{"id":"W4409579604","doi":"10.63485/nagh4-cpc80","title":"OA to electronic theses and dissertations","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.015294554749137568,"score_gpt":0.273531278484074,"score_spread":0.25823672373493645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579604","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007916457,0.0043802336,0.0024228701,0.017296948,0.030476583,0.0005331318,0.01702732,0.0024058286,0.9246654],"genre_scores_gemma":[0.003654237,0.002880675,0.0014838326,0.0025545524,0.005965096,0.0001893492,0.0053128004,0.0012119671,0.97674745],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943785,0.00060956524,0.0002398721,0.00044774386,0.0035779546,0.00074624515],"domain_scores_gemma":[0.97865754,0.0016852322,0.00090899196,0.0038903863,0.010239657,0.004618285],"candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0039215325,0.0010989001,0.0012094693,0.01413904,0.0053379545,0.013279105,0.0016479997,0.0017133419,0.65144676],"category_scores_gemma":[0.025846863,0.00057562965,0.0008850343,0.019815838,0.0022804444,0.005395747,0.006734995,0.003056539,0.42709652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001438664,0.000016845048,0.000070506176,0.0001159535,0.0000021453811,0.00002480562,0.00012541305,0.000020671094,0.00011029068,0.006417004,0.95974225,0.033339877],"study_design_scores_gemma":[0.0000025864804,0.0000028199902,0.00017212956,0.000061133076,7.955429e-7,0.0000080771,0.00007168389,0.000009619752,0.000026105343,0.00062916486,0.9990134,0.0000024500453],"about_ca_topic_score_codex":0.04220847,"about_ca_topic_score_gemma":0.095900185,"teacher_disagreement_score":0.998352,"about_ca_system_score_codex":0.010632369,"about_ca_system_score_gemma":0.012130376,"threshold_uncertainty_score":0.4971689},"labels":[],"label_agreement":null},{"id":"W4409586746","doi":"10.63485/dsaj1-xmn85","title":"Encouraging OA in the humanities","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Digital humanities; Political science; Sociology; Art","score_opus":0.046500806308587744,"score_gpt":0.26397996718665345,"score_spread":0.2174791608780657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409586746","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0090374695,0.014531737,0.025657594,0.6953846,0.007099496,0.00011912435,0.00020692706,0.00055747706,0.24740562],"genre_scores_gemma":[0.39205745,0.026031733,0.04571114,0.21103223,0.007988179,0.00055738137,0.00079148647,0.0018450271,0.31398532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9839048,0.007960296,0.00073049904,0.0016458526,0.0038964667,0.001862094],"domain_scores_gemma":[0.9684228,0.013253643,0.0013781181,0.0033194644,0.0060187182,0.0076073604],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.022114774,0.00034203674,0.00032791644,0.0019943994,0.007586365,0.01732629,0.0012444835,0.007034851,0.020284846],"category_scores_gemma":[0.034734234,0.00046167208,0.00055241125,0.002714385,0.010938154,0.044112775,0.02063326,0.009738909,0.005376866],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068989844,0.00010804664,0.001225407,0.0004239939,0.000014062048,0.00019250892,0.024804994,0.00014173912,0.0014981455,0.55943644,0.32835627,0.08372938],"study_design_scores_gemma":[0.000014982386,0.000014351782,0.0006999592,0.00028289994,0.0000041059684,0.00008160738,0.007042955,0.00007708496,0.00052428746,0.070407204,0.92083186,0.000018788682],"about_ca_topic_score_codex":0.020466518,"about_ca_topic_score_gemma":0.027023623,"teacher_disagreement_score":0.9987555,"about_ca_system_score_codex":0.005872466,"about_ca_system_score_gemma":0.010626901,"threshold_uncertainty_score":0.11695546},"labels":[],"label_agreement":null},{"id":"W4409598178","doi":"10.63485/fdfx5-5m488","title":"University-based OA journals","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Computer science","score_opus":0.03498974431392734,"score_gpt":0.2554773155659248,"score_spread":0.22048757125199744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409598178","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011251788,0.027518416,0.0052636806,0.17561552,0.0537566,0.00017944521,0.0030494006,0.0028123972,0.7205528],"genre_scores_gemma":[0.059099473,0.007845898,0.0038723678,0.008790543,0.00976992,0.000056789584,0.0012322989,0.00072486926,0.9086079],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9897315,0.0014011456,0.0007359784,0.0011492362,0.0059569557,0.0010252047],"domain_scores_gemma":[0.94279253,0.0036547699,0.0029442827,0.003794013,0.02027521,0.02653921],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.006384112,0.0004710677,0.00064809213,0.0068386556,0.0073583857,0.025563644,0.0010699253,0.0022192418,0.1214104],"category_scores_gemma":[0.03173947,0.00047694464,0.00047567335,0.010670029,0.0023192677,0.012693573,0.0055167302,0.002665253,0.040769435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047317877,0.000044927936,0.0017483883,0.00012332587,0.0000122578185,0.000064943,0.0009939492,0.000039128026,0.0006989815,0.039971393,0.8773124,0.07894288],"study_design_scores_gemma":[0.000004739028,0.000011161507,0.0014673217,0.00004539548,0.0000039643023,0.000055493612,0.0006690507,0.000028363993,0.00016908246,0.0018987078,0.9956345,0.000012140846],"about_ca_topic_score_codex":0.013313617,"about_ca_topic_score_gemma":0.05683865,"teacher_disagreement_score":0.9989301,"about_ca_system_score_codex":0.006971249,"about_ca_system_score_gemma":0.013845088,"threshold_uncertainty_score":0.40615827},"labels":[],"label_agreement":null},{"id":"W4409616412","doi":"10.63485/xg7bb-6jn56","title":"OA in the midst of scientific politics","year":2005,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Politics; Political science; Political economy; Sociology; Law","score_opus":0.04498142649842442,"score_gpt":0.28966568057311864,"score_spread":0.24468425407469424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409616412","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036392016,0.014078901,0.0021471945,0.54560345,0.019976793,0.000031145257,0.00025417437,0.000188502,0.4140806],"genre_scores_gemma":[0.13951997,0.006477963,0.0016398673,0.28318527,0.010293521,0.000102650476,0.0002948938,0.0004507804,0.5580351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9919584,0.0022517836,0.00030609526,0.0010024281,0.0030923847,0.0013889252],"domain_scores_gemma":[0.99169683,0.0023532037,0.00051790697,0.0012554902,0.0018576704,0.0023188747],"candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01090852,0.00034170086,0.0006011592,0.0019515128,0.01134792,0.023221567,0.0008815575,0.00809422,0.03373812],"category_scores_gemma":[0.02440058,0.0003247385,0.00057078636,0.0030055617,0.0212908,0.016313624,0.0079940995,0.012606447,0.009427028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029731422,0.000012785069,0.00039224955,0.00004471971,0.000008157854,0.000091233764,0.0032000314,0.000027134663,0.00015578775,0.72269875,0.25885266,0.014486809],"study_design_scores_gemma":[0.0000050299755,0.000004400296,0.00025118515,0.000062360275,0.0000015547196,0.00002073606,0.0014014579,0.000020586389,0.00004940434,0.042372968,0.9558049,0.0000054292063],"about_ca_topic_score_codex":0.022166336,"about_ca_topic_score_gemma":0.031173537,"teacher_disagreement_score":0.99911845,"about_ca_system_score_codex":0.00977736,"about_ca_system_score_gemma":0.009659272,"threshold_uncertainty_score":0.11286521},"labels":[],"label_agreement":null},{"id":"W4409622432","doi":"10.63485/4jva3-hx814","title":"Another open-source package for OAI-compliant archives","year":2005,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Open source; Computer science; R package; Database; Information retrieval; Programming language; Software","score_opus":0.06339461439366291,"score_gpt":0.3063424822972868,"score_spread":0.24294786790362388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409622432","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020845442,0.00079913845,0.2886488,0.0005130013,0.0006529249,0.0006271562,0.08599102,0.5436931,0.076990314],"genre_scores_gemma":[0.020442504,0.0014573731,0.3420126,0.0006125991,0.00037218927,0.0013633998,0.27101937,0.22835071,0.13436918],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997801,0.00025449184,0.000307039,0.00027961633,0.0011757264,0.00018222384],"domain_scores_gemma":[0.9950157,0.0008679785,0.0003121464,0.0021627927,0.0013091106,0.00033224927],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0023687324,0.0015713343,0.0013507478,0.0051661846,0.0014061909,0.005589058,0.0031943591,0.0014948623,0.18037139],"category_scores_gemma":[0.009750008,0.0017860407,0.0022916126,0.008236503,0.00052183995,0.0058010356,0.004694837,0.0027803907,0.14791541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003186319,0.00015707016,0.0011428813,0.0016717567,0.0001795884,0.00037343972,0.00058638107,0.0015800397,0.0057372623,0.017622933,0.675211,0.29541904],"study_design_scores_gemma":[0.0000865133,0.000024832354,0.00085802446,0.00011835108,0.000043270287,0.00042661262,0.00009885756,0.002124571,0.005196353,0.008825666,0.9821032,0.00009373214],"about_ca_topic_score_codex":0.004270012,"about_ca_topic_score_gemma":0.0048619257,"teacher_disagreement_score":0.99441093,"about_ca_system_score_codex":0.0009208302,"about_ca_system_score_gemma":0.0024234117,"threshold_uncertainty_score":0.6034024},"labels":[],"label_agreement":null},{"id":"W4409626296","doi":"10.63485/drzff-k0h16","title":"Creative Commons Canada on OA","year":2005,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Commons; Geography; Political science; Law","score_opus":0.02727098457497501,"score_gpt":0.25686742846481275,"score_spread":0.22959644388983774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409626296","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032639073,0.0015553117,0.0005106362,0.007531034,0.0025364247,0.00010230173,0.009473775,0.002265039,0.9756992],"genre_scores_gemma":[0.0017646255,0.0005345053,0.00025980463,0.0013836684,0.000117768825,0.00002654436,0.0021061944,0.000696882,0.99311006],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957034,0.00014278332,0.00012369658,0.00050483004,0.002514709,0.0010105883],"domain_scores_gemma":[0.9897391,0.00067188445,0.00025874653,0.0017606772,0.00488811,0.0026814435],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019530719,0.0009685087,0.0016132578,0.0049239355,0.0088252,0.017460922,0.0026884698,0.006034466,0.7553968],"category_scores_gemma":[0.0097002275,0.000854607,0.0012420901,0.00949418,0.004265487,0.0040688952,0.005534535,0.003886348,0.46570244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045159442,0.000016713362,0.0001451792,0.00013589897,0.000005512691,0.00011100882,0.00010161641,0.00005090193,0.00019698028,0.027677936,0.94225013,0.029262925],"study_design_scores_gemma":[0.0000036503639,0.0000015325218,0.00018041994,0.000047856473,0.0000012683115,0.000010645573,0.00004489025,0.00001699914,0.000045960398,0.00063348695,0.99900836,0.0000049232776],"about_ca_topic_score_codex":0.75184816,"about_ca_topic_score_gemma":0.8702973,"teacher_disagreement_score":0.99731153,"about_ca_system_score_codex":0.03404506,"about_ca_system_score_gemma":0.07792836,"threshold_uncertainty_score":0.4992265},"labels":[],"label_agreement":null},{"id":"W4409627630","doi":"10.63485/xagh1-bar05","title":"Online scholarly publishing and OA","year":2005,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publishing; World Wide Web; Scholarly communication; Computer science; Library science; Political science","score_opus":0.050900204011993674,"score_gpt":0.28075584339328696,"score_spread":0.22985563938129328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409627630","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044377595,0.053136047,0.004135137,0.07987673,0.010190969,0.00005118333,0.00055774784,0.00028988926,0.84732455],"genre_scores_gemma":[0.23453969,0.090172395,0.006582345,0.020682925,0.02215779,0.000111412155,0.0014480826,0.00071249774,0.6235928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9875547,0.0023341978,0.0005500956,0.000676936,0.007424746,0.001459243],"domain_scores_gemma":[0.97296786,0.009284407,0.0023175944,0.0027909935,0.0076419013,0.0049971202],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0054318747,0.00034115696,0.0008096016,0.0072381133,0.008475836,0.03536159,0.001473294,0.0034947016,0.09033854],"category_scores_gemma":[0.023366675,0.00029688008,0.00049779157,0.021338087,0.012430977,0.021764643,0.007114897,0.0036483123,0.010038877],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028225604,0.000033876862,0.00069576775,0.0002865811,0.000012968896,0.0001291003,0.0025784392,0.00008521493,0.00013836591,0.73513,0.18243821,0.07844328],"study_design_scores_gemma":[0.000005095733,0.0000066387784,0.00081874174,0.00030188024,0.000005478307,0.00011040198,0.0018952889,0.00007460731,0.0000757294,0.09085184,0.90584046,0.000013910216],"about_ca_topic_score_codex":0.051992696,"about_ca_topic_score_gemma":0.09020624,"teacher_disagreement_score":0.9985267,"about_ca_system_score_codex":0.012350993,"about_ca_system_score_gemma":0.020184267,"threshold_uncertainty_score":0.30221254},"labels":[],"label_agreement":null},{"id":"W4409677791","doi":"10.63485/snmza-4kr88","title":"Google Scholar, Firefox, and OpenURLs","year":2004,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer graphics (images); Computer science; Art","score_opus":0.02814796410212327,"score_gpt":0.2709625988028754,"score_spread":0.2428146347007521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409677791","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032892874,0.035922565,0.025396515,0.042102233,0.005047267,0.00016567668,0.006828222,0.03136488,0.8498834],"genre_scores_gemma":[0.050440494,0.03882225,0.05589424,0.010484149,0.0060965964,0.00020276532,0.017666524,0.011346651,0.8090463],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968143,0.00030595798,0.00013892975,0.00036298044,0.0019867092,0.0003911389],"domain_scores_gemma":[0.995256,0.0007861252,0.00031457364,0.001104516,0.0014506852,0.0010880933],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0028599196,0.0008986086,0.00065166096,0.009830677,0.0027347251,0.009122072,0.0015220853,0.002300735,0.05657676],"category_scores_gemma":[0.011469344,0.00080155104,0.00078833837,0.013428198,0.0031450642,0.014286324,0.0041173915,0.002190221,0.05685774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059292084,0.000019898827,0.0005582444,0.00026078965,0.000013945698,0.000103480124,0.00043248959,0.00013516512,0.0004835821,0.12666373,0.65893835,0.21233101],"study_design_scores_gemma":[0.0000066909743,0.000003976828,0.00042579754,0.00009939719,0.0000035556582,0.00008392726,0.00011025152,0.000088954475,0.00017167433,0.013513492,0.9854791,0.000013270576],"about_ca_topic_score_codex":0.029309658,"about_ca_topic_score_gemma":0.03322127,"teacher_disagreement_score":0.9908779,"about_ca_system_score_codex":0.0029188497,"about_ca_system_score_gemma":0.0033668908,"threshold_uncertainty_score":0.18926811},"labels":[],"label_agreement":null},{"id":"W4409708889","doi":"10.63485/z05nk-y1y51","title":"The rise of OA institutional repositories","year":2004,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.020015416270223386,"score_gpt":0.25788494771900206,"score_spread":0.23786953144877868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409708889","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032194484,0.050017606,0.035838097,0.6711546,0.005647805,0.000096858654,0.0005679944,0.0015501559,0.20293239],"genre_scores_gemma":[0.58137965,0.10068874,0.064990886,0.058772903,0.009075596,0.00026302537,0.0010068616,0.001637641,0.1821848],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9856387,0.0053414404,0.0010169285,0.0015188821,0.0051570805,0.0013269561],"domain_scores_gemma":[0.92698705,0.032451462,0.0049962336,0.009029921,0.016958382,0.009576845],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.021487534,0.00029825032,0.00047597633,0.0067674876,0.0068210727,0.034619458,0.00203766,0.007290806,0.014198906],"category_scores_gemma":[0.05008975,0.0008190976,0.00044577688,0.010262566,0.011340267,0.08630027,0.014068237,0.0057998123,0.0036390855],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037287577,0.0000390532,0.0014657023,0.00019466117,0.0000084825915,0.00020462026,0.0064465823,0.00018352731,0.00026219242,0.8187454,0.09718131,0.07523125],"study_design_scores_gemma":[0.000016871401,0.000027443262,0.0010517755,0.00051321153,0.00000880868,0.0002565852,0.0058427877,0.0005646697,0.00057484116,0.14995228,0.84113854,0.000052230058],"about_ca_topic_score_codex":0.0136952475,"about_ca_topic_score_gemma":0.018230783,"teacher_disagreement_score":0.99796236,"about_ca_system_score_codex":0.0074997908,"about_ca_system_score_gemma":0.01155492,"threshold_uncertainty_score":0.11363828},"labels":[],"label_agreement":null},{"id":"W4409767946","doi":"10.1145/3706598.3714085","title":"ChainBuddy: An AI-assisted Agent System for Generating LLM Pipelines","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Pipeline transport; Computer science; Petroleum engineering; Engineering; Mechanical engineering","score_opus":0.034402982686502395,"score_gpt":0.30515662070787525,"score_spread":0.27075363802137287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409767946","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011018929,0.00014704527,0.8191901,0.00028510374,0.00012080995,0.00037792395,0.0022631634,0.15796743,0.008629429],"genre_scores_gemma":[0.12358824,0.00021894074,0.84530914,0.00024405862,0.000036808142,0.00042171558,0.0064108465,0.010081514,0.013688685],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995939,0.00008864334,0.000033538825,0.00010854037,0.00013795406,0.000037420043],"domain_scores_gemma":[0.99877197,0.0005304925,0.000070409216,0.00030628385,0.00022010952,0.000100698635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012333873,0.0010974783,0.00069730706,0.0017375131,0.0012012704,0.0021553093,0.0025744678,0.0015764694,0.033473946],"category_scores_gemma":[0.0040441346,0.00099383,0.000952243,0.00086409145,0.0007152208,0.0029133414,0.002929615,0.0014453441,0.0070066284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001855658,0.00076658325,0.00616085,0.0014287829,0.000290718,0.0009498237,0.0013043087,0.13136731,0.043177105,0.05829687,0.16697781,0.5874242],"study_design_scores_gemma":[0.00015326672,0.00008050305,0.00035899118,0.0000640657,0.000054032764,0.00011706079,0.00012937494,0.87759566,0.028035494,0.020810766,0.07254369,0.000057070185],"about_ca_topic_score_codex":0.007927239,"about_ca_topic_score_gemma":0.01197155,"teacher_disagreement_score":0.033473946,"about_ca_system_score_codex":0.0011718498,"about_ca_system_score_gemma":0.0021874,"threshold_uncertainty_score":0.11198145},"labels":[],"label_agreement":null},{"id":"W4409769325","doi":"10.63485/7bdkq-05n63","title":"An Anecdote About TSpace and Google","year":2004,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Anecdote; Computer science; World Wide Web; Art; Literature","score_opus":0.02139326080057766,"score_gpt":0.300305930470593,"score_spread":0.2789126696700153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409769325","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07420645,0.012397235,0.0055699525,0.11641915,0.0060233213,0.00016268622,0.0019511867,0.0009191808,0.7823509],"genre_scores_gemma":[0.5797277,0.0089580165,0.0038038942,0.039020628,0.0023169375,0.00016397904,0.001631309,0.0018200027,0.3625575],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.992353,0.0028604467,0.0002116238,0.0005342122,0.0029716578,0.0010690533],"domain_scores_gemma":[0.99281454,0.0036104524,0.0004802015,0.00059709576,0.001664829,0.00083283376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030283416,0.0010052028,0.0005157553,0.006162149,0.01776822,0.010372106,0.0016034311,0.0064225313,0.022539105],"category_scores_gemma":[0.015696459,0.00052245636,0.00086014747,0.009065466,0.010411306,0.016296964,0.00783959,0.0065125357,0.0051360796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013082051,0.000043631942,0.0021676878,0.0004436698,0.000037278547,0.0066522015,0.22182281,0.00027584363,0.00092610327,0.22701865,0.50699216,0.03348912],"study_design_scores_gemma":[0.000006565321,0.000017459852,0.00091805286,0.0002088122,0.000011074348,0.0015271107,0.055717915,0.0001438165,0.00018526077,0.0045314184,0.93668646,0.000046032048],"about_ca_topic_score_codex":0.05004853,"about_ca_topic_score_gemma":0.09041119,"teacher_disagreement_score":0.05004853,"about_ca_system_score_codex":0.0065850415,"about_ca_system_score_gemma":0.0024499495,"threshold_uncertainty_score":0.099514425},"labels":[],"label_agreement":null},{"id":"W4409802569","doi":"10.63485/s7j84-58z97","title":"OA to Canadian dissertations","year":2004,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.0229993843774678,"score_gpt":0.27740126353133626,"score_spread":0.25440187915386847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409802569","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018937526,0.011558577,0.0010072008,0.030355066,0.013220308,0.00031309843,0.015751809,0.0008421828,0.92505807],"genre_scores_gemma":[0.008356384,0.006526362,0.0012117912,0.003036518,0.0009640032,0.00011467494,0.0048339292,0.0004890831,0.97446716],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98829377,0.00076765503,0.00038724986,0.001216476,0.0069539286,0.0023808405],"domain_scores_gemma":[0.9704598,0.0011943462,0.00045707688,0.0017337848,0.018443033,0.0077118925],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0074289106,0.0013235688,0.0018200384,0.01757018,0.023374422,0.02014995,0.0022398746,0.0027267132,0.3424142],"category_scores_gemma":[0.02822125,0.0007086006,0.0013215824,0.02185587,0.0051273545,0.0035951529,0.007843133,0.0044396627,0.11058277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038511414,0.000020021918,0.00027286573,0.00021094257,0.00000870531,0.00010662873,0.0010475995,0.00005170558,0.00021425993,0.041524757,0.9203008,0.036203317],"study_design_scores_gemma":[0.000002837874,0.0000019197548,0.0003744828,0.00011283807,0.0000028586185,0.0000144716605,0.00034223546,0.000013886792,0.000048014113,0.0011173637,0.9979631,0.0000060263255],"about_ca_topic_score_codex":0.79559535,"about_ca_topic_score_gemma":0.90446615,"teacher_disagreement_score":0.9977601,"about_ca_system_score_codex":0.09303374,"about_ca_system_score_gemma":0.19751461,"threshold_uncertainty_score":0.93796635},"labels":[],"label_agreement":null},{"id":"W4409812885","doi":"10.63485/kar7r-hk545","title":"Using OpenURL to make OA literature more visible","year":2004,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.05582225977138111,"score_gpt":0.3348148974172884,"score_spread":0.2789926376459073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409812885","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032203984,0.008968436,0.017409725,0.09467873,0.0077523575,0.000076424265,0.0028062388,0.00807202,0.85701567],"genre_scores_gemma":[0.040819854,0.010155486,0.022793371,0.012891965,0.004387548,0.00012527603,0.006447348,0.0069486178,0.8954305],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99768174,0.00034509497,0.00011811457,0.00023641001,0.0013878259,0.00023075436],"domain_scores_gemma":[0.9886729,0.0027427368,0.00083832024,0.0021460813,0.0034427568,0.0021571042],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0024789185,0.0003832273,0.0004093637,0.0070646415,0.0048347963,0.015176051,0.00073398853,0.0021705404,0.1651078],"category_scores_gemma":[0.02475623,0.0005721623,0.000405918,0.010397549,0.0026209734,0.020846914,0.006395023,0.0026154397,0.10595718],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014461759,0.000018333407,0.00027026125,0.000079437654,0.000005520301,0.000067059795,0.0018330262,0.000027846918,0.0004954228,0.0625988,0.8491783,0.08541149],"study_design_scores_gemma":[0.0000040211726,0.0000023397006,0.0003118169,0.000077946555,0.0000024589588,0.00004331591,0.00038856413,0.000042151678,0.000120222874,0.010461574,0.9885372,0.000008412241],"about_ca_topic_score_codex":0.02427534,"about_ca_topic_score_gemma":0.057678394,"teacher_disagreement_score":0.999266,"about_ca_system_score_codex":0.0036182064,"about_ca_system_score_gemma":0.0043603675,"threshold_uncertainty_score":0.5523406},"labels":[],"label_agreement":null},{"id":"W4410081416","doi":"10.1061/joeedu.eeeng-8104","title":"Rethinking TMDLs: Perspective Based on Community Survey","year":2025,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Perspective (graphical); Environmental planning; Water quality; Environmental science; Environmental engineering; Environmental resource management; Sociology; Water resource management; Computer science","score_opus":0.018523446100812087,"score_gpt":0.23321639156512966,"score_spread":0.21469294546431758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410081416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92315257,0.0008004253,0.026864827,0.031859394,0.0002725269,0.0007728682,0.0002345098,0.00007141879,0.015971497],"genre_scores_gemma":[0.9875087,0.00056436117,0.007065042,0.0030077612,0.00004710598,0.00044417396,0.0000995229,0.000027091559,0.0012363208],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9185862,0.068508506,0.0020541647,0.0019867425,0.0049113254,0.0039530466],"domain_scores_gemma":[0.8758296,0.0807588,0.0067826305,0.0045646275,0.023839206,0.0082251225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08307297,0.0005852565,0.00057330425,0.0050578597,0.00761626,0.007155336,0.0019738814,0.0025766187,0.0019455946],"category_scores_gemma":[0.08464572,0.00064081576,0.0005385772,0.0033067886,0.008353333,0.010684963,0.012211042,0.004210059,0.00033092508],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051123225,0.00018320436,0.036835436,0.00031531733,0.000022588514,0.00062457134,0.90386057,0.00023271228,0.0011694107,0.008251104,0.003116496,0.04533756],"study_design_scores_gemma":[0.000008283619,0.00012076094,0.00427473,0.00023630816,0.000006849662,0.00014243549,0.97026765,0.0006400285,0.00029124477,0.002361901,0.021617834,0.000031993553],"about_ca_topic_score_codex":0.0105435625,"about_ca_topic_score_gemma":0.01310838,"teacher_disagreement_score":0.08307297,"about_ca_system_score_codex":0.00789619,"about_ca_system_score_gemma":0.012403272,"threshold_uncertainty_score":0.43933707},"labels":[],"label_agreement":null},{"id":"W4410087681","doi":"10.1109/wi-iat62293.2024.00068","title":"Modelling and Exploitation of Knowledge Graphs Using Category Theory","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Knowledge graph; Graph theory; Knowledge management; Artificial intelligence; Mathematics; Combinatorics","score_opus":0.06088592764330554,"score_gpt":0.288288306612198,"score_spread":0.22740237896889248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410087681","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048653767,0.00048087206,0.98358613,0.0005663926,0.000046152094,0.00008087224,0.00013374777,0.0002960958,0.009944231],"genre_scores_gemma":[0.22326323,0.0016217566,0.76889145,0.00021907185,0.00009457597,0.00035334408,0.0006992871,0.00021747938,0.004639901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99729687,0.0013086353,0.00019896205,0.0003766859,0.0006340863,0.00018469724],"domain_scores_gemma":[0.99507844,0.003196253,0.0002823633,0.0008609299,0.00041374416,0.00016832324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031076076,0.00075619324,0.0006292076,0.0052381633,0.0014612421,0.0053530675,0.0022047164,0.0014021791,0.0040099695],"category_scores_gemma":[0.008480583,0.00075289136,0.002474787,0.00336379,0.0045926315,0.008980534,0.0039385953,0.0021211961,0.0006389417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012901719,0.000015881316,0.0003107823,0.00010006191,0.00003076331,0.00023672354,0.0006947991,0.024116242,0.00046370176,0.95543975,0.00072481495,0.01785369],"study_design_scores_gemma":[0.0000074184177,0.000009839501,0.00011277468,0.00006421524,0.0000147821565,0.00012268445,0.00014338805,0.07488419,0.0005236863,0.9095043,0.014594205,0.000018491375],"about_ca_topic_score_codex":0.009826245,"about_ca_topic_score_gemma":0.009625889,"teacher_disagreement_score":0.009826245,"about_ca_system_score_codex":0.002061518,"about_ca_system_score_gemma":0.0021010514,"threshold_uncertainty_score":0.019538105},"labels":[],"label_agreement":null},{"id":"W4410155222","doi":"10.2139/ssrn.5239347","title":"ENHANCING SPARQL QUERY REWRITING FOR COMPLEX ONTOLOGY ALIGNMENTS","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"SPARQL; Computer science; Rewriting; Information retrieval; Ontology; Named graph; RDF; Programming language; Semantic Web","score_opus":0.01789470928632094,"score_gpt":0.2900202557058834,"score_spread":0.2721255464195625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410155222","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051093526,0.0005481893,0.9120011,0.0007893786,0.00034309618,0.00048815124,0.0014755898,0.023576863,0.009684019],"genre_scores_gemma":[0.29799366,0.00049737137,0.676252,0.00091465167,0.00020346294,0.00018882519,0.0059754536,0.008030491,0.009943981],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98988277,0.0025528239,0.0010316317,0.0013093706,0.0045346585,0.00068878086],"domain_scores_gemma":[0.9844319,0.006971878,0.0006166386,0.0043900292,0.0033428378,0.00024673247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045462474,0.0010913179,0.0014801408,0.0014314442,0.0010283235,0.0038307745,0.002474367,0.0014603706,0.008989073],"category_scores_gemma":[0.020814104,0.0008785404,0.0017726405,0.0024639058,0.0010938164,0.005077425,0.0040846197,0.002371383,0.0043889284],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011196187,0.0011038801,0.00817625,0.0018195029,0.0006162426,0.0027259144,0.0032467188,0.06942233,0.11632861,0.10941107,0.060877696,0.62515223],"study_design_scores_gemma":[0.00022092373,0.0002541175,0.0019001884,0.00015811234,0.0004391563,0.0016756488,0.0015407739,0.6558011,0.11645156,0.1315614,0.089802034,0.00019491413],"about_ca_topic_score_codex":0.0057343943,"about_ca_topic_score_gemma":0.009021418,"teacher_disagreement_score":0.008989073,"about_ca_system_score_codex":0.001018272,"about_ca_system_score_gemma":0.0020116551,"threshold_uncertainty_score":0.030071437},"labels":[],"label_agreement":null},{"id":"W4410356994","doi":"10.1145/3672608.3707870","title":"A Circular Construction Product Ontology for End-of-Life Decision-Making","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Ontology; Computer science; Product (mathematics); Process management; Knowledge management; Systems engineering; Engineering; Mathematics","score_opus":0.0203851384163613,"score_gpt":0.30235727471994955,"score_spread":0.28197213630358825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410356994","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043887584,0.00009061177,0.98301345,0.00064807764,0.000053423286,0.00027151857,0.00073316175,0.0011529898,0.009648012],"genre_scores_gemma":[0.06242585,0.00029724842,0.9312139,0.00022014738,0.000025136716,0.00032440756,0.0028605398,0.00028045257,0.0023522563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955064,0.0012456579,0.0006333573,0.000630046,0.0016950669,0.0002895184],"domain_scores_gemma":[0.9953655,0.0011593997,0.00043463497,0.0014762307,0.0013028453,0.00026133782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006295773,0.00056913897,0.00040704914,0.0029117034,0.0014078618,0.004469284,0.001810666,0.0013555308,0.0025217168],"category_scores_gemma":[0.009068958,0.00051570544,0.0016957208,0.0029425218,0.002131365,0.006106293,0.0043475744,0.0017879315,0.0012336734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009616958,0.00023884012,0.0042098467,0.00049226725,0.00008902429,0.000602019,0.0024729278,0.042004988,0.0077765426,0.76451993,0.014529454,0.16296785],"study_design_scores_gemma":[0.000034703633,0.00008636362,0.0017240567,0.0005955136,0.00011024796,0.00062318234,0.0016282556,0.25885886,0.011649866,0.31007385,0.4145081,0.00010690899],"about_ca_topic_score_codex":0.013690722,"about_ca_topic_score_gemma":0.015217663,"teacher_disagreement_score":0.013690722,"about_ca_system_score_codex":0.0021623888,"about_ca_system_score_gemma":0.0083581135,"threshold_uncertainty_score":0.03329563},"labels":[],"label_agreement":null},{"id":"W4410491517","doi":"10.2139/ssrn.5260359","title":"Multilingual Scholarly Communication and Translation Technologies","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Translation (biology); Computer science; Scholarly communication; Linguistics; Political science; Biology; Philosophy","score_opus":0.012933673210191449,"score_gpt":0.26936335384376653,"score_spread":0.2564296806335751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410491517","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02782558,0.017147923,0.2624041,0.036303192,0.004973177,0.00025912118,0.001860007,0.004834281,0.6443926],"genre_scores_gemma":[0.5540487,0.027587049,0.20282982,0.0062280917,0.003672453,0.0005285526,0.0070336037,0.002956427,0.19511527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.993743,0.0032127455,0.0007282456,0.00045908982,0.001506925,0.00035005342],"domain_scores_gemma":[0.99063253,0.0039755316,0.00055949675,0.0021776117,0.0020988665,0.0005559676],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006060483,0.0006430161,0.00072219153,0.0098139765,0.0031097843,0.018933345,0.001383537,0.002484598,0.025792735],"category_scores_gemma":[0.013265715,0.000462334,0.0005085643,0.011476795,0.0035749634,0.021851491,0.009100925,0.002209221,0.010708226],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004746759,0.000109405126,0.0006661814,0.00053753704,0.000035144833,0.0003732232,0.0052402844,0.00041514178,0.0016584123,0.72337216,0.037600376,0.22994462],"study_design_scores_gemma":[0.000017500737,0.000036461173,0.00072562444,0.0007981755,0.000062935964,0.0005764544,0.006620065,0.00260622,0.0039712735,0.38445947,0.6000893,0.00003657701],"about_ca_topic_score_codex":0.0011665563,"about_ca_topic_score_gemma":0.0011773227,"teacher_disagreement_score":0.98106664,"about_ca_system_score_codex":0.0022985602,"about_ca_system_score_gemma":0.0033459507,"threshold_uncertainty_score":0.08628535},"labels":[],"label_agreement":null},{"id":"W4410635810","doi":"10.36227/techrxiv.174803687.70425427/v1","title":"From Tokens to Thought: Efficient Architectures for Machine Reasoning","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cognitive science; Artificial intelligence; Psychology","score_opus":0.019438720750678214,"score_gpt":0.295842876438477,"score_spread":0.2764041556877988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410635810","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013183109,0.001923601,0.9659348,0.0027617596,0.00019461365,0.00011370263,0.00039336155,0.003461782,0.012033277],"genre_scores_gemma":[0.37894446,0.0030578033,0.6055837,0.00070636586,0.00021610342,0.00042949375,0.0013106259,0.00071388704,0.009037534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988871,0.00041496375,0.000097426,0.00025850165,0.00023524772,0.00010676535],"domain_scores_gemma":[0.99776673,0.001128185,0.00012439024,0.0006563698,0.0002017717,0.0001226332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001899219,0.00089691754,0.00089384714,0.0013839324,0.0015662757,0.004866417,0.0037397542,0.001755439,0.010560808],"category_scores_gemma":[0.0074305423,0.0010693255,0.0016585838,0.001623961,0.003909426,0.01269322,0.004255185,0.0034912557,0.0028293394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024914325,0.00010440923,0.0007401044,0.00050184585,0.00009670827,0.00015482571,0.0007150133,0.071268186,0.0025625303,0.77773726,0.010172555,0.13569744],"study_design_scores_gemma":[0.000026778913,0.00001594206,0.00006787233,0.00005186858,0.000028721035,0.00003861522,0.0000669751,0.18481155,0.0011648095,0.8028633,0.010849249,0.000014342855],"about_ca_topic_score_codex":0.0050799213,"about_ca_topic_score_gemma":0.006408817,"teacher_disagreement_score":0.010560808,"about_ca_system_score_codex":0.0022866358,"about_ca_system_score_gemma":0.0022051183,"threshold_uncertainty_score":0.0353294},"labels":[],"label_agreement":null},{"id":"W4410705321","doi":"10.29173/cais1943","title":"Investigating Document Type Discrepancies between OpenAlex and the Web of Science","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa; Dalhousie University","funders":"","keywords":"World Wide Web; Web of science; Type (biology); Computer science; Information retrieval; Data science; MEDLINE; Political science; Biology","score_opus":0.02350689428926182,"score_gpt":0.2704189824575527,"score_spread":0.24691208816829088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410705321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259405,0.0062477915,0.021420253,0.0025497284,0.00036247482,0.00025933198,0.012410503,0.00057763583,0.030231748],"genre_scores_gemma":[0.9717058,0.0012974838,0.013033455,0.00031254854,0.00016967514,0.00019553698,0.010672872,0.00029124785,0.0023213017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9187101,0.01843937,0.014308559,0.0074625225,0.039088268,0.001991277],"domain_scores_gemma":[0.48526797,0.27153417,0.10531726,0.04845897,0.08679021,0.002631428],"candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.05204695,0.00048222626,0.0010112451,0.027212223,0.00164247,0.011825028,0.0017850082,0.0014807216,0.0032258064],"category_scores_gemma":[0.31311774,0.000492025,0.0008334856,0.039130066,0.0031445455,0.009655122,0.0083149765,0.0011386805,0.0018232265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000631634,0.00011419316,0.7964613,0.0019402591,0.0004950198,0.00052130356,0.02659387,0.0016299827,0.002312329,0.018612659,0.005731893,0.14495562],"study_design_scores_gemma":[0.000045046745,0.00018250961,0.8204519,0.00225558,0.00037602356,0.0018131199,0.031953733,0.008103467,0.010679671,0.026648665,0.09729919,0.0001911202],"about_ca_topic_score_codex":0.0062321387,"about_ca_topic_score_gemma":0.004858789,"teacher_disagreement_score":0.9727878,"about_ca_system_score_codex":0.002781064,"about_ca_system_score_gemma":0.0023306434,"threshold_uncertainty_score":0.2752539},"labels":[],"label_agreement":null},{"id":"W4410705322","doi":"10.29173/cais1960","title":"Semantic Knowledge Management","year":2025,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Knowledge management","score_opus":0.029766167477394467,"score_gpt":0.2726463211683423,"score_spread":0.24288015369094784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410705322","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004415289,0.0062203174,0.57669276,0.019888632,0.0014592767,0.00056488084,0.0032913953,0.004526159,0.3829413],"genre_scores_gemma":[0.24311885,0.013613988,0.5258438,0.007740799,0.0016750378,0.0010342408,0.018347852,0.0018465224,0.1867789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99397427,0.00203857,0.0007479795,0.0011132273,0.0017063186,0.00041959406],"domain_scores_gemma":[0.9947826,0.0013946582,0.00027056804,0.0024179923,0.00081998954,0.0003141258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063366243,0.001245368,0.001114726,0.006172399,0.0034693782,0.015581161,0.0039009748,0.0034995768,0.029116822],"category_scores_gemma":[0.010311078,0.0007322166,0.0022547632,0.007594602,0.004859919,0.026115313,0.011827156,0.00358875,0.011759465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025887855,0.000033137952,0.00029973814,0.00023873008,0.000044589524,0.00016240402,0.0010267344,0.0012527118,0.0003920226,0.8771174,0.022601953,0.096804634],"study_design_scores_gemma":[0.00001029731,0.000011768447,0.00014325789,0.00025320682,0.000022110535,0.00016401106,0.00076667377,0.003915083,0.0006486095,0.50109744,0.4929472,0.000020248017],"about_ca_topic_score_codex":0.005405315,"about_ca_topic_score_gemma":0.004783753,"teacher_disagreement_score":0.029116822,"about_ca_system_score_codex":0.0044110618,"about_ca_system_score_gemma":0.006549449,"threshold_uncertainty_score":0.09740543},"labels":[],"label_agreement":null},{"id":"W4410761124","doi":"","title":"Structured Knowledge Base Enhances Effective Use of Large Language Models for Metadata Curation.","year":2024,"lang":"en","type":"article","venue":"PubMed","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Metadata; Computer science; Knowledge base; Base (topology); Information retrieval; Digital curation; Natural language processing; World Wide Web; Mathematics","score_opus":0.04173598398695012,"score_gpt":0.28767904395632354,"score_spread":0.24594305996937343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410761124","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029201083,0.001289174,0.88686913,0.0033360892,0.0005667866,0.0013311264,0.014195474,0.035003517,0.028207624],"genre_scores_gemma":[0.13638255,0.0014197263,0.8245092,0.0009091579,0.00017171989,0.0005661612,0.027592758,0.002085425,0.0063632727],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9939843,0.0026148162,0.00068484637,0.00071770465,0.001817325,0.00018106155],"domain_scores_gemma":[0.964112,0.02117281,0.001071269,0.006999956,0.0060625696,0.0005813315],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008541613,0.0008696686,0.0010451529,0.007663111,0.00146111,0.005522515,0.0021256702,0.0015379266,0.0105620045],"category_scores_gemma":[0.05237293,0.0008604357,0.0013931401,0.00572016,0.0007162293,0.012781925,0.005667065,0.0017943188,0.008443096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010263518,0.0016043822,0.0068881363,0.002813194,0.00046161897,0.0011637856,0.0027190663,0.012932072,0.03097332,0.07323413,0.10164989,0.7645341],"study_design_scores_gemma":[0.0004484703,0.00058172405,0.0044440986,0.0018655726,0.0010128588,0.0012528063,0.002646115,0.34235832,0.07827711,0.23674047,0.32999453,0.000377897],"about_ca_topic_score_codex":0.00707331,"about_ca_topic_score_gemma":0.01688777,"teacher_disagreement_score":0.9914584,"about_ca_system_score_codex":0.0011711747,"about_ca_system_score_gemma":0.0061028674,"threshold_uncertainty_score":0.04517293},"labels":[],"label_agreement":null},{"id":"W4410898416","doi":"10.3390/fi17060245","title":"Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System","year":2025,"lang":"en","type":"article","venue":"Future Internet","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec en Outaouais","funders":"","keywords":"Computer science; Knowledge graph; Graph; Data science; Information retrieval; World Wide Web; Theoretical computer science","score_opus":0.03555647777932723,"score_gpt":0.32675776956720903,"score_spread":0.2912012917878818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410898416","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010997435,0.00011776801,0.9816409,0.00063772284,0.000052730375,0.00012703276,0.0001718755,0.0020842792,0.0041702227],"genre_scores_gemma":[0.2898215,0.00035030112,0.70532596,0.00030046512,0.000034598677,0.00015265521,0.0011179167,0.00026707485,0.002629443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760014,0.000789782,0.0002489142,0.0005116977,0.00068957295,0.00015996654],"domain_scores_gemma":[0.9975376,0.000597168,0.0001702532,0.001095695,0.0004137494,0.00018555795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037983146,0.00038661293,0.0005476776,0.0023075633,0.001070023,0.0045113405,0.0023178326,0.0010022393,0.001370745],"category_scores_gemma":[0.0055577857,0.0003300605,0.0011628623,0.0022185082,0.0016905713,0.006501081,0.0059071365,0.0011338579,0.0004214172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002242708,0.00030800706,0.0036560786,0.00034829552,0.00026436473,0.0012494812,0.0022859506,0.10518108,0.014222218,0.55294406,0.008281972,0.31103414],"study_design_scores_gemma":[0.000037389786,0.000094158866,0.0007301218,0.000108238004,0.00012558223,0.00048590722,0.0008156216,0.5805001,0.015952632,0.34072068,0.060352683,0.000076896125],"about_ca_topic_score_codex":0.0068977145,"about_ca_topic_score_gemma":0.0064627975,"teacher_disagreement_score":0.0068977145,"about_ca_system_score_codex":0.0014883045,"about_ca_system_score_gemma":0.0042382213,"threshold_uncertainty_score":0.02008766},"labels":[],"label_agreement":null},{"id":"W4410906622","doi":"10.1007/978-3-031-84756-1_12","title":"Mixed-Initiative PCGML","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on games and computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Sudbury; University of Alberta","funders":"","keywords":"Political science","score_opus":0.0400189931767137,"score_gpt":0.2612196057152086,"score_spread":0.22120061253849488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410906622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036903587,0.00027615414,0.7634608,0.00081007846,0.0003527985,0.00038259503,0.0021432142,0.03503682,0.1938471],"genre_scores_gemma":[0.10694276,0.0005172982,0.6575587,0.00090416934,0.000117093216,0.0012270965,0.008290584,0.01287249,0.21156989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988367,0.00026827754,0.00007684888,0.00020505801,0.00045204276,0.00016125132],"domain_scores_gemma":[0.9990907,0.0002083511,0.00003057288,0.00034479026,0.00022400013,0.00010155403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011438499,0.000838207,0.00043104065,0.00085143454,0.0009909902,0.0035636483,0.0027207215,0.0011764028,0.048701923],"category_scores_gemma":[0.0037034983,0.0006344247,0.00067321974,0.0010176232,0.00090799725,0.0045140507,0.004420084,0.0019858568,0.021671038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018309512,0.00017074798,0.00032578126,0.00038653536,0.000025949332,0.00015202159,0.0005865411,0.0049528126,0.003793457,0.5176262,0.13348873,0.33830813],"study_design_scores_gemma":[0.000057903097,0.00003937435,0.0001484876,0.0001549384,0.000021479036,0.00016905724,0.00016212772,0.049464215,0.008778127,0.22665745,0.71431416,0.00003258121],"about_ca_topic_score_codex":0.003657149,"about_ca_topic_score_gemma":0.006762259,"teacher_disagreement_score":0.048701923,"about_ca_system_score_codex":0.0012155239,"about_ca_system_score_gemma":0.0020565004,"threshold_uncertainty_score":0.16292411},"labels":[],"label_agreement":null},{"id":"W4410907310","doi":"10.21428/d82e957c.2c17961c","title":"WSCurLe: Weakly Supervised Curriculum Learning for Foundational Vision and Language Architectures in Digital Soil Mapping","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Curriculum; Computer science; Artificial intelligence; Natural language processing; Psychology; Pedagogy","score_opus":0.008054605206380702,"score_gpt":0.2634231224447739,"score_spread":0.2553685172383932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410907310","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033226274,0.00035421623,0.95852894,0.00028085863,0.000054238437,0.000107429594,0.00021600779,0.0056891264,0.0015428961],"genre_scores_gemma":[0.469152,0.0003378436,0.5202677,0.0006039174,0.00007251927,0.00051047414,0.0017231378,0.00054545037,0.0067869932],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937373,0.00021892492,0.000032251053,0.00020066436,0.000099567485,0.00007487803],"domain_scores_gemma":[0.99848527,0.0008322499,0.00008229953,0.0002280843,0.00027173338,0.000100374375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014653006,0.0010115914,0.0007053279,0.00072122144,0.0005741732,0.0009058564,0.0022366769,0.0014691926,0.003618801],"category_scores_gemma":[0.0045019323,0.00052654534,0.000769076,0.00060841104,0.0007933854,0.0030324748,0.0025748562,0.0026796549,0.0014344908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021879093,0.00049647194,0.0021874243,0.00025385275,0.00008778424,0.00013662683,0.00031421144,0.23759723,0.015257401,0.014858843,0.009743615,0.71884775],"study_design_scores_gemma":[0.000013109623,0.00005417029,0.00012840482,0.00001203204,0.0000063855873,0.000015535701,0.000027838218,0.9863993,0.0037344224,0.008372307,0.0012286658,0.000007827173],"about_ca_topic_score_codex":0.0062129786,"about_ca_topic_score_gemma":0.012222333,"teacher_disagreement_score":0.0062129786,"about_ca_system_score_codex":0.0009944797,"about_ca_system_score_gemma":0.0016535722,"threshold_uncertainty_score":0.012353659},"labels":[],"label_agreement":null},{"id":"W4410912419","doi":"10.31235/osf.io/fdhvb_v4","title":"Is Archaeology a science? Insights and imperatives from 10,000 articles and a year of reproducibility reviews","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Freie Universität Berlin; Christian-Albrechts-Universität zu Kiel; McDonald Institute for Archaeological Research; York University","keywords":"Reproducibility; Archaeology; History; Philosophy; Epistemology","score_opus":0.0506855663756543,"score_gpt":0.3175012911655842,"score_spread":0.2668157247899299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410912419","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034826264,0.7378137,0.020807054,0.17729339,0.012988468,0.0003768119,0.0035536187,0.00048631188,0.011854295],"genre_scores_gemma":[0.38025323,0.47479367,0.0536102,0.053852398,0.022596316,0.0015255004,0.0060626743,0.0015293796,0.0057766316],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.7863573,0.07492827,0.045460295,0.012076931,0.07844806,0.0027291535],"domain_scores_gemma":[0.18251486,0.6009621,0.06511348,0.036690287,0.110343434,0.0043758648],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.18509214,0.0011399547,0.0022734876,0.062245898,0.0036686447,0.017490987,0.0023924797,0.0035145148,0.0029911222],"category_scores_gemma":[0.5346138,0.0017622556,0.0032511868,0.04928285,0.00875186,0.021763857,0.0076732086,0.0058090272,0.0012412103],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006875657,0.00012402366,0.032709684,0.06180402,0.0033747195,0.0012901003,0.038577896,0.0010927304,0.0032934237,0.057110827,0.13258773,0.66734725],"study_design_scores_gemma":[0.000068182715,0.0002323991,0.055448316,0.08827945,0.002617123,0.0019190835,0.021496981,0.0011754527,0.0026814113,0.05115137,0.77457106,0.0003591365],"about_ca_topic_score_codex":0.0063033192,"about_ca_topic_score_gemma":0.014134621,"teacher_disagreement_score":0.81490785,"about_ca_system_score_codex":0.008859967,"about_ca_system_score_gemma":0.019306347,"threshold_uncertainty_score":0.9788725},"labels":[],"label_agreement":null},{"id":"W4410988395","doi":"10.3991/ijoe.v21i07.54361","title":"An Ontological Model for Artificial Reasoning","year":2025,"lang":"en","type":"article","venue":"International Journal of Online and Biomedical Engineering (iJOE)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada","funders":"","keywords":"Computer science; Artificial intelligence; Cognitive science; Epistemology; Psychology; Philosophy","score_opus":0.019113886925359643,"score_gpt":0.3176449158839686,"score_spread":0.29853102895860895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410988395","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021671574,0.0013168073,0.95004106,0.005721565,0.00031597406,0.00017059834,0.0007256371,0.00050035305,0.03904089],"genre_scores_gemma":[0.13673852,0.0031227192,0.8389955,0.002192998,0.0005974188,0.00086202426,0.002057151,0.00023684853,0.015196779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996367,0.0012795611,0.0005011316,0.0005641702,0.0010339099,0.00025425214],"domain_scores_gemma":[0.99671423,0.0013197279,0.0002685918,0.0009217285,0.000571504,0.00020419243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040672375,0.0010042666,0.0010680575,0.0041710287,0.002670574,0.0076685776,0.0033916847,0.003392691,0.0044568516],"category_scores_gemma":[0.006168331,0.00074791006,0.003150527,0.004453537,0.0063120197,0.014956989,0.0041738125,0.0049705347,0.0017143837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036599677,0.00000826399,0.000048096226,0.000038477494,0.000009785581,0.00005026525,0.00016539506,0.0018152712,0.00015157787,0.99227166,0.00094674586,0.004490751],"study_design_scores_gemma":[0.000008349602,0.000007015704,0.000056661152,0.00006268493,0.000017211893,0.00007939276,0.00014198417,0.015769651,0.00017632761,0.93368053,0.04998674,0.000013482972],"about_ca_topic_score_codex":0.010823931,"about_ca_topic_score_gemma":0.007942757,"teacher_disagreement_score":0.010823931,"about_ca_system_score_codex":0.003980653,"about_ca_system_score_gemma":0.0035181788,"threshold_uncertainty_score":0.028881788},"labels":[],"label_agreement":null},{"id":"W4410992213","doi":"10.5206/cjils-rcsib.v48i1.22296","title":"Machine Translation in Scholarly Publishing","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada; Genome Canada; University of Ottawa","keywords":"Publishing; Translation (biology); Computer science; Machine translation; Library science; Data science; Information retrieval; World Wide Web; Natural language processing; Political science; Biology; Law","score_opus":0.011120315666902903,"score_gpt":0.20495997182792183,"score_spread":0.19383965616101892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410992213","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014368614,0.4093282,0.087483354,0.11067095,0.009850434,0.0007876357,0.0015546482,0.0006627032,0.36529362],"genre_scores_gemma":[0.46322367,0.34512645,0.122620314,0.0147337075,0.009025969,0.0014179643,0.0023858286,0.00050284463,0.040963266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.95681286,0.0271397,0.0042888713,0.0024642963,0.00833141,0.0009628881],"domain_scores_gemma":[0.902489,0.078364015,0.005912641,0.0055310167,0.0065973205,0.0011059712],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.025744827,0.00086343137,0.0016913457,0.015827317,0.0057256925,0.022366783,0.002388636,0.006106003,0.011703462],"category_scores_gemma":[0.058777638,0.0007471303,0.0011929793,0.03325358,0.018118026,0.022304723,0.006993761,0.0035550422,0.004114456],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045965888,0.000051092135,0.0015428201,0.0069463407,0.000081523,0.0006480539,0.0076080468,0.0011774569,0.00033574676,0.72567564,0.029160298,0.22672707],"study_design_scores_gemma":[0.000025619787,0.000035510202,0.0021824732,0.0071743946,0.00005167182,0.00085362536,0.006059053,0.0014420232,0.0006489869,0.5145939,0.46686462,0.0000681147],"about_ca_topic_score_codex":0.0054778922,"about_ca_topic_score_gemma":0.0040162955,"teacher_disagreement_score":0.97763324,"about_ca_system_score_codex":0.009110274,"about_ca_system_score_gemma":0.014551392,"threshold_uncertainty_score":0.13615328},"labels":[],"label_agreement":null},{"id":"W4411120204","doi":"10.18653/v1/2025.findings-naacl.424","title":"Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Argonne National Laboratory; U.S. National Library of Medicine; Institute for Catastrophic Loss Reduction; National Science Foundation","keywords":"Computer science; Manufacturing engineering; Software engineering; Process engineering; Engineering","score_opus":0.04620901255201522,"score_gpt":0.34229792057107344,"score_spread":0.29608890801905824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411120204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38322166,0.0057605114,0.5184478,0.0069722463,0.0006202661,0.0005613575,0.00090072775,0.05047385,0.033041574],"genre_scores_gemma":[0.53144044,0.0011018276,0.46018735,0.0010412944,0.00006498111,0.00020793678,0.0010332126,0.0017585263,0.0031644176],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9907674,0.0055430196,0.0006820203,0.0010751083,0.0015173014,0.00041500357],"domain_scores_gemma":[0.9514335,0.03601639,0.0015367382,0.008206105,0.0018333928,0.0009739378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011053553,0.0014378704,0.00087461894,0.00080583175,0.00057021866,0.0031711254,0.0023924,0.0017369806,0.0037694315],"category_scores_gemma":[0.042745996,0.0008457743,0.001246067,0.0006308158,0.0018618709,0.010044685,0.0048187305,0.0037699242,0.0013806255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032548353,0.0019601744,0.019065518,0.0030830137,0.0006987738,0.000515828,0.0021038167,0.2574427,0.031835765,0.07411554,0.019783963,0.5861401],"study_design_scores_gemma":[0.0005000009,0.00091015344,0.0021924379,0.00038433057,0.00038105794,0.00022624787,0.0004735485,0.85353357,0.032465987,0.04238769,0.06641247,0.00013259077],"about_ca_topic_score_codex":0.00432406,"about_ca_topic_score_gemma":0.0056995424,"teacher_disagreement_score":0.011053553,"about_ca_system_score_codex":0.0010392496,"about_ca_system_score_gemma":0.002259632,"threshold_uncertainty_score":0.058457434},"labels":[],"label_agreement":null},{"id":"W4411337926","doi":"10.1109/pacificvis64226.2025.00035","title":"Evaluating ‘Graphical Perception’ with Multimodal LLMs","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perception; Computer science; Human–computer interaction; Psychology; Neuroscience","score_opus":0.03078538251689153,"score_gpt":0.3408607932723709,"score_spread":0.3100754107554794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411337926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6065318,0.0025191964,0.34630144,0.0012249666,0.00044697322,0.0004329264,0.0029013476,0.027786886,0.011854444],"genre_scores_gemma":[0.88435054,0.0003945248,0.10843031,0.00041560052,0.0000788408,0.00020845486,0.0033637728,0.0007577842,0.0020000944],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99702924,0.0015341248,0.00015842418,0.00073691306,0.00040578062,0.0001355821],"domain_scores_gemma":[0.97859436,0.017541923,0.0006956569,0.0016233447,0.0010704561,0.00047427285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004854924,0.0017702364,0.0007666902,0.0011113918,0.0003565416,0.0027546894,0.0016235296,0.0020968325,0.008722278],"category_scores_gemma":[0.041962,0.0004030529,0.00097006845,0.0006641178,0.0007083187,0.004664173,0.0026316978,0.0019237678,0.0022970177],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043873265,0.0012876948,0.016853279,0.0021802287,0.000663798,0.0005001315,0.0026041938,0.22009635,0.050171353,0.0059130024,0.01716348,0.67817914],"study_design_scores_gemma":[0.0001441317,0.0013407987,0.006384818,0.0001847584,0.00014596731,0.0001929238,0.000853775,0.95402366,0.02060655,0.011094162,0.004898123,0.00013037543],"about_ca_topic_score_codex":0.004637239,"about_ca_topic_score_gemma":0.0039363215,"teacher_disagreement_score":0.008722278,"about_ca_system_score_codex":0.0009912716,"about_ca_system_score_gemma":0.00063464814,"threshold_uncertainty_score":0.029178917},"labels":[],"label_agreement":null},{"id":"W4411402288","doi":"10.1109/serp4iot66600.2025.00005","title":"An interoperable ontology-based information model for better integration of building physics and IoT data analytics models","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Interoperability; Ontology; Computer science; Analytics; Internet of Things; Data science; Data integration; Ontology-based data integration; Data modeling; World Wide Web; Information retrieval; Software engineering; Data mining; Semantic Web","score_opus":0.09399785952792587,"score_gpt":0.3269630455599996,"score_spread":0.23296518603207372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411402288","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018133534,0.00014204596,0.9846954,0.0019236743,0.00015647049,0.0002921512,0.0012774861,0.0014347022,0.008264704],"genre_scores_gemma":[0.040033188,0.0005029381,0.94992274,0.0005643218,0.00008127102,0.0005858605,0.0047742543,0.00038534103,0.0031500466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99543804,0.0010868238,0.00082871714,0.00055901747,0.0018447812,0.0002426137],"domain_scores_gemma":[0.99519026,0.0011901907,0.00036698073,0.0015208775,0.0014785975,0.00025316526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006087978,0.00084009493,0.0008830089,0.0045913914,0.0018869656,0.007032283,0.0028545628,0.0024437087,0.0032040593],"category_scores_gemma":[0.010894839,0.00079104403,0.0028145744,0.0052716457,0.0020761658,0.011024021,0.004902532,0.004512114,0.0017103481],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003967435,0.0001777823,0.0012185337,0.00026983416,0.00009907871,0.0003935051,0.0010731394,0.03486333,0.0033703758,0.87513417,0.015801357,0.06755924],"study_design_scores_gemma":[0.000037147045,0.00004482319,0.0007780447,0.0005188651,0.00014393394,0.00040662292,0.0005866535,0.25059944,0.0052003474,0.34911796,0.39244762,0.00011853455],"about_ca_topic_score_codex":0.01667696,"about_ca_topic_score_gemma":0.020681262,"teacher_disagreement_score":0.01667696,"about_ca_system_score_codex":0.0038919416,"about_ca_system_score_gemma":0.007948015,"threshold_uncertainty_score":0.033159792},"labels":[],"label_agreement":null},{"id":"W4411507372","doi":"10.1016/j.datak.2025.102480","title":"Large language models for conceptual modeling: Assessment and application potential","year":2025,"lang":"en","type":"article","venue":"Data & Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundação para a Ciência e a Tecnologia; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","score_opus":0.029500594423617237,"score_gpt":0.3180202898758975,"score_spread":0.28851969545228023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411507372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05721329,0.0023980243,0.925136,0.0039836755,0.00016556942,0.00030113707,0.0019163804,0.0027552433,0.0061305785],"genre_scores_gemma":[0.44115838,0.0022546959,0.54873806,0.00048273354,0.0002037658,0.00075873564,0.003551555,0.0007204637,0.002131542],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99339175,0.004382949,0.00026802652,0.00044549283,0.0013990315,0.00011285117],"domain_scores_gemma":[0.92195374,0.065008074,0.0013238094,0.006596714,0.0042820782,0.00083565776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012134491,0.00089211564,0.0011335274,0.003050379,0.0012175994,0.005642711,0.0029533822,0.0018483388,0.0055613844],"category_scores_gemma":[0.062229194,0.0008553507,0.0018076116,0.003184738,0.0014637747,0.012814323,0.0021998116,0.002262287,0.0010592544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009196377,0.0008963728,0.009566668,0.0009416882,0.0007076706,0.00024773495,0.001305461,0.24860243,0.0025782161,0.50263196,0.014084072,0.21751808],"study_design_scores_gemma":[0.00007220844,0.00008645376,0.0006325508,0.00013156087,0.00014826811,0.000080627346,0.00026103124,0.7609238,0.0010507433,0.22845645,0.008116593,0.000039728788],"about_ca_topic_score_codex":0.010133788,"about_ca_topic_score_gemma":0.012803627,"teacher_disagreement_score":0.012134491,"about_ca_system_score_codex":0.0033687684,"about_ca_system_score_gemma":0.0034646762,"threshold_uncertainty_score":0.064174116},"labels":[],"label_agreement":null},{"id":"W4411630022","doi":"10.18653/v1/2024.eacl-demo.19","title":"X-AMR Annotation Tool","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Defense Advanced Research Projects Agency; Atomic Energy of Canada Limited","keywords":"Computer science; Annotation; Artificial intelligence; Information retrieval","score_opus":0.013599126302992055,"score_gpt":0.2565583861451749,"score_spread":0.24295925984218283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411630022","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004440286,0.0010626788,0.32462278,0.0012858604,0.0013485203,0.00072566705,0.069895536,0.48435912,0.112259604],"genre_scores_gemma":[0.036537718,0.0012603765,0.4759285,0.001687822,0.0004980438,0.0017287344,0.22409011,0.07592729,0.18234146],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976465,0.00046094507,0.00031101186,0.00057121075,0.0008879125,0.00012234719],"domain_scores_gemma":[0.9968556,0.00066823885,0.00017743706,0.0010663894,0.0011186573,0.000113585054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002975989,0.0021243556,0.0011974627,0.004533596,0.0017397592,0.0036912903,0.0025868816,0.0016421339,0.109024554],"category_scores_gemma":[0.005259702,0.0010439099,0.0012846978,0.002696361,0.00057487795,0.004224264,0.004294457,0.0021920968,0.107611135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041179822,0.00014048675,0.0012135543,0.000996848,0.00008003709,0.0005361113,0.00083814614,0.00075137505,0.011893691,0.022028951,0.76734346,0.19376545],"study_design_scores_gemma":[0.00005018079,0.00003006046,0.0007329685,0.0001795426,0.000032579203,0.00039964737,0.00017852653,0.005090666,0.010253335,0.0053661475,0.97762567,0.000060632658],"about_ca_topic_score_codex":0.0035880152,"about_ca_topic_score_gemma":0.004333314,"teacher_disagreement_score":0.109024554,"about_ca_system_score_codex":0.0006503509,"about_ca_system_score_gemma":0.0017021439,"threshold_uncertainty_score":0.36472344},"labels":[],"label_agreement":null},{"id":"W4412055677","doi":"10.1145/3719160.3737639","title":"CitePeek: Contextual Citation Exploration Within Research Papers","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Citation; Data science; Human–computer interaction; World Wide Web","score_opus":0.12050466402434147,"score_gpt":0.3701694116710695,"score_spread":0.24966474764672802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412055677","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.103790335,0.042323392,0.3779638,0.012686094,0.0076828613,0.0012859557,0.24011524,0.071622424,0.14252989],"genre_scores_gemma":[0.3290346,0.017205566,0.4333132,0.0010511581,0.0019241471,0.00096515665,0.17983736,0.008410662,0.028258247],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975229,0.0005666548,0.00032629,0.0005006108,0.0009081807,0.0001754133],"domain_scores_gemma":[0.98870355,0.006217587,0.0009062164,0.0016854868,0.0016915866,0.0007955702],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002799662,0.0010559523,0.0012105567,0.020625733,0.0023733117,0.008729583,0.0009671058,0.001376659,0.025800351],"category_scores_gemma":[0.021643274,0.0005961666,0.0014722575,0.027338134,0.0009196374,0.009973254,0.006973028,0.001197867,0.007099073],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008741572,0.0003071848,0.019339876,0.0070009683,0.00072560494,0.0010432311,0.005628441,0.0042231814,0.0073491787,0.10994877,0.25283238,0.5907271],"study_design_scores_gemma":[0.00011722337,0.00009668185,0.00955692,0.0015783769,0.00042794785,0.00062669895,0.0032979215,0.012224716,0.0058682133,0.12698905,0.83908355,0.00013267159],"about_ca_topic_score_codex":0.0045826696,"about_ca_topic_score_gemma":0.012940484,"teacher_disagreement_score":0.9972003,"about_ca_system_score_codex":0.001016212,"about_ca_system_score_gemma":0.003244108,"threshold_uncertainty_score":0.086310744},"labels":[],"label_agreement":null},{"id":"W4412373541","doi":"10.1007/978-981-96-6271-5_6","title":"Datafication and the Eclipse of Thinking","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Eclipse; Computer science; Astronomy; Physics","score_opus":0.018334244857631285,"score_gpt":0.23212943810915154,"score_spread":0.21379519325152024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412373541","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027269563,0.016216911,0.27997616,0.012338085,0.0018020445,0.000051066665,0.00023045849,0.00057736546,0.68608105],"genre_scores_gemma":[0.3089748,0.03048068,0.29119128,0.006354288,0.0026733435,0.0005520609,0.0012833407,0.0019208483,0.3565693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99815255,0.0008555316,0.000109378925,0.00023892036,0.00053178996,0.00011183649],"domain_scores_gemma":[0.9969944,0.0019534305,0.00006933925,0.00062295207,0.00027026597,0.00008965468],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030911257,0.0008249835,0.00074083137,0.002676247,0.0020098563,0.009044727,0.0015309324,0.0019194083,0.009073055],"category_scores_gemma":[0.0055075292,0.0007487129,0.0008822121,0.003400094,0.0136699,0.019366931,0.003510142,0.0054679103,0.0028672211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014290392,0.0000017636522,0.0000077505365,0.000010732525,7.17123e-7,0.0000052375676,0.00012799849,0.00005350508,0.000019529532,0.9938899,0.0020960115,0.003785473],"study_design_scores_gemma":[0.0000022998029,0.0000011593752,0.000012956882,0.000038898514,0.0000016705098,0.000026644986,0.000077412726,0.0004548779,0.00010005053,0.9107986,0.088482514,0.0000029678386],"about_ca_topic_score_codex":0.0044633257,"about_ca_topic_score_gemma":0.0030905702,"teacher_disagreement_score":0.99799013,"about_ca_system_score_codex":0.004411669,"about_ca_system_score_gemma":0.0026538912,"threshold_uncertainty_score":0.032009065},"labels":[],"label_agreement":null},{"id":"W4412543062","doi":"10.30535/mto.31.2.6","title":"The Semantic Evolution of Chromatic Mediants","year":2025,"lang":"en","type":"article","venue":"Music Theory Online","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Chromatic scale; Art; Computer science; Mathematics; Combinatorics","score_opus":0.011193875100102842,"score_gpt":0.25023015884927324,"score_spread":0.2390362837491704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412543062","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15973347,0.0026323493,0.07490632,0.004456561,0.0011765473,0.00005502354,0.00032423466,0.0006270333,0.7560885],"genre_scores_gemma":[0.9755874,0.00050060626,0.009191474,0.00032552064,0.00026978963,0.000027603914,0.00017344434,0.0002088036,0.013715365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981007,0.00089544826,0.00007592533,0.00038590617,0.00033611764,0.00020590556],"domain_scores_gemma":[0.9991904,0.00028448596,0.00007150465,0.00014509654,0.00024200557,0.0000665198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018495391,0.00040899898,0.00026791773,0.0015755196,0.0037862847,0.0040217713,0.0006129234,0.00095281604,0.007806092],"category_scores_gemma":[0.0034171084,0.00021846544,0.00041021648,0.0013382279,0.014086131,0.00901762,0.003176179,0.0022304708,0.000652452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000236146,0.0000027845808,0.00016257813,0.000022972747,0.0000026725118,0.00006491331,0.008579302,0.00007150775,0.00044059166,0.98394185,0.0006406088,0.006046626],"study_design_scores_gemma":[0.000034052522,0.0000775342,0.0021853338,0.00017595405,0.000019599658,0.0005953706,0.017264273,0.001649405,0.002128901,0.6585454,0.31728014,0.000044078253],"about_ca_topic_score_codex":0.0035183192,"about_ca_topic_score_gemma":0.0026957456,"teacher_disagreement_score":0.007806092,"about_ca_system_score_codex":0.004180048,"about_ca_system_score_gemma":0.0009341732,"threshold_uncertainty_score":0.030328512},"labels":[],"label_agreement":null},{"id":"W4412621509","doi":"10.59350/xd4k3-6b882","title":"PKP Sprint 2016: XML and Substance","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sprint; XML; Computer science; World Wide Web; Software engineering","score_opus":0.024351043207406435,"score_gpt":0.24975697348496698,"score_spread":0.22540593027756053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412621509","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004805145,0.001271567,0.66113555,0.0074984008,0.0023984208,0.00059660635,0.020885972,0.1923277,0.109080605],"genre_scores_gemma":[0.05539236,0.0034249648,0.5271979,0.0021889722,0.0010378209,0.0008233284,0.06981677,0.11958913,0.2205288],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966169,0.0007658152,0.00036698897,0.00049504597,0.0015611965,0.00019399807],"domain_scores_gemma":[0.9947179,0.001302495,0.00023801695,0.0018143018,0.0013380023,0.00058933924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0066830725,0.0010034842,0.0007362314,0.0016498915,0.0013729621,0.007296503,0.0018063396,0.0017326593,0.060930636],"category_scores_gemma":[0.011766194,0.0017340487,0.0010129715,0.0022327418,0.0018649324,0.010384403,0.0051426254,0.004134186,0.038290653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038806436,0.0001018592,0.0006065406,0.0005267244,0.000042160173,0.00074938097,0.0012216013,0.0021046572,0.011079744,0.17097414,0.6275371,0.18466796],"study_design_scores_gemma":[0.00003804409,0.000017561782,0.00023081545,0.00008407472,0.0000069838025,0.00017064462,0.000076205426,0.002220409,0.006078948,0.018186491,0.97286046,0.00002940341],"about_ca_topic_score_codex":0.008650072,"about_ca_topic_score_gemma":0.0077524222,"teacher_disagreement_score":0.9390694,"about_ca_system_score_codex":0.0016738104,"about_ca_system_score_gemma":0.0044421647,"threshold_uncertainty_score":0.20383328},"labels":[],"label_agreement":null},{"id":"W4412621956","doi":"10.59350/0pd89-86x67","title":"Fall 2016 Sprint Report: OAuth integration","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sprint; Business; Computer science; Software engineering","score_opus":0.031342998321910696,"score_gpt":0.27756793737542873,"score_spread":0.24622493905351803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412621956","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047049087,0.007394332,0.13684851,0.056520037,0.02465953,0.00739259,0.046319257,0.18217474,0.49164188],"genre_scores_gemma":[0.10926656,0.0045818943,0.11570102,0.010518356,0.0052727624,0.0036985879,0.17544198,0.053146023,0.52237284],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9606524,0.0062734736,0.0034028292,0.0033155987,0.02269907,0.003656588],"domain_scores_gemma":[0.9503561,0.0041291523,0.0018679829,0.01743047,0.020284194,0.0059321476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0426154,0.0020872331,0.0016016542,0.0063818833,0.005477342,0.013007879,0.003501505,0.0041331416,0.048908502],"category_scores_gemma":[0.054968752,0.0014519424,0.001692952,0.005646188,0.0023138907,0.016202576,0.01409021,0.007348115,0.06746383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008201219,0.0006383477,0.0039729653,0.0005449876,0.000057120964,0.0006253175,0.0017228208,0.0004837409,0.007999717,0.020925326,0.83514625,0.12706335],"study_design_scores_gemma":[0.00005794317,0.00010638056,0.0019898629,0.00033012207,0.00003328907,0.00021278576,0.00030546417,0.0011771533,0.0046948656,0.003365508,0.9876594,0.00006735674],"about_ca_topic_score_codex":0.023445943,"about_ca_topic_score_gemma":0.017451761,"teacher_disagreement_score":0.048908502,"about_ca_system_score_codex":0.00508075,"about_ca_system_score_gemma":0.01372154,"threshold_uncertainty_score":0.22537446},"labels":[],"label_agreement":null},{"id":"W4412629515","doi":"10.59350/sx788-akw92","title":"Introducing Weblate, A New Path for OJS/OMP Translations","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Computer science; Mathematics; Computer network","score_opus":0.057922245055435834,"score_gpt":0.28883436730719936,"score_spread":0.23091212225176352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412629515","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008875474,0.0035948362,0.6602345,0.11349634,0.016513977,0.00050350203,0.0020520962,0.032776266,0.16195296],"genre_scores_gemma":[0.04246863,0.0042446814,0.729383,0.032695718,0.0069511565,0.0007017792,0.006052413,0.029078897,0.14842367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9837013,0.005886481,0.0014829764,0.001422617,0.0064665917,0.0010401142],"domain_scores_gemma":[0.94578254,0.015591991,0.002031698,0.015209039,0.015391945,0.005992743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01955758,0.0009896326,0.0007037551,0.005622598,0.0041380925,0.018099332,0.0026409633,0.00512015,0.036175914],"category_scores_gemma":[0.054694686,0.0013048738,0.0011990886,0.0044574672,0.00666179,0.036580145,0.017968027,0.012562523,0.030794984],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030918108,0.00033995762,0.0013617272,0.00077055814,0.00005871264,0.0004962914,0.0067698783,0.0003867852,0.008845253,0.41987664,0.24905504,0.31172994],"study_design_scores_gemma":[0.000031507494,0.000044693843,0.00021241806,0.0002459524,0.0000112777425,0.00028375737,0.0009862958,0.0007743935,0.0019455387,0.061420303,0.93398345,0.00006041226],"about_ca_topic_score_codex":0.0027986292,"about_ca_topic_score_gemma":0.0041697533,"teacher_disagreement_score":0.036175914,"about_ca_system_score_codex":0.0018942821,"about_ca_system_score_gemma":0.0074098078,"threshold_uncertainty_score":0.12102044},"labels":[],"label_agreement":null},{"id":"W4412684184","doi":"10.1007/978-3-031-98281-1_22","title":"A Unified Ontological Approach for Modeling Domain Theory and Procedures: Applications, Issues and Prospects","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Domain (mathematical analysis); Management science; Domain model; Theoretical computer science; Software engineering; Domain knowledge; Mathematics","score_opus":0.020779092994650687,"score_gpt":0.2699696856403024,"score_spread":0.2491905926456517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412684184","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014091418,0.0025538076,0.97538346,0.0033268642,0.00025403718,0.00006067183,0.0001680812,0.00029172876,0.016552191],"genre_scores_gemma":[0.05135508,0.0048339036,0.9310004,0.0010270937,0.0005556063,0.0004668523,0.00071927643,0.00026932242,0.00977243],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956899,0.001658494,0.0006397681,0.00051096344,0.0012100614,0.0002907833],"domain_scores_gemma":[0.9961953,0.0015013728,0.00025127287,0.0010467346,0.0007354472,0.00026979376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008019899,0.0013593743,0.0018927194,0.0055814018,0.0030574633,0.01350844,0.0055177477,0.0037417144,0.005646035],"category_scores_gemma":[0.006379389,0.00135204,0.003684487,0.008318048,0.008366544,0.03172944,0.004875033,0.0062653143,0.002608955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033090034,0.0000104734745,0.00003984861,0.00003755603,0.0000070540045,0.00001685299,0.00019371265,0.0005020615,0.000111768,0.98920083,0.00096631894,0.008910216],"study_design_scores_gemma":[0.0000059361523,0.000008315072,0.00006975309,0.000118847216,0.000023404724,0.00009012219,0.000213543,0.009116656,0.00022212433,0.9518357,0.038278766,0.000016884644],"about_ca_topic_score_codex":0.0064918296,"about_ca_topic_score_gemma":0.006312112,"teacher_disagreement_score":0.01350844,"about_ca_system_score_codex":0.004725715,"about_ca_system_score_gemma":0.005673256,"threshold_uncertainty_score":0.04241377},"labels":[],"label_agreement":null},{"id":"W4412756801","doi":"10.26434/chemrxiv-2025-4pk4w","title":"Semantically-Linked Ontological Knowledge Extraction Graph For Domain-Specific Knowledge Discovery In Scientific Literature","year":2025,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Dalhousie University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Dalhousie University","keywords":"Knowledge graph; Knowledge extraction; Computer science; Domain knowledge; Information retrieval; Graph; Scientific discovery; Data science; Domain (mathematical analysis); Natural language processing; Knowledge management; Artificial intelligence; Theoretical computer science; Psychology; Mathematics; Cognitive science","score_opus":0.042223158722906266,"score_gpt":0.31810966413673303,"score_spread":0.27588650541382675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412756801","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010273828,0.0007979989,0.9587498,0.0015737773,0.00014334744,0.0007020462,0.012801506,0.0064778184,0.008479916],"genre_scores_gemma":[0.05095812,0.0012479497,0.9143445,0.00046812708,0.00005631586,0.0008112582,0.029185517,0.0006148164,0.0023133561],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970394,0.0007104161,0.0004186901,0.0006187437,0.0010929076,0.00011983495],"domain_scores_gemma":[0.992834,0.003338408,0.00081157015,0.0011685541,0.0016166042,0.0002308544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023755627,0.0010017706,0.0007375284,0.016981186,0.0020146067,0.0029938307,0.0013462111,0.0013529422,0.004168524],"category_scores_gemma":[0.015241234,0.00060610287,0.0027174924,0.013584009,0.0010806086,0.004513101,0.0044179736,0.00148192,0.0021138892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002526885,0.00031251024,0.00796571,0.00364148,0.00045505934,0.0020378595,0.004421762,0.038813505,0.015441095,0.36995825,0.0513042,0.50539595],"study_design_scores_gemma":[0.00007728718,0.000077874414,0.0034939619,0.0010511165,0.00046549938,0.00093438465,0.0013140399,0.14619744,0.016059497,0.5086326,0.32152927,0.00016700431],"about_ca_topic_score_codex":0.009874437,"about_ca_topic_score_gemma":0.01690888,"teacher_disagreement_score":0.016981186,"about_ca_system_score_codex":0.0017932156,"about_ca_system_score_gemma":0.006126973,"threshold_uncertainty_score":0.01963389},"labels":[],"label_agreement":null},{"id":"W4412819086","doi":"10.18280/ria.390301","title":"Ontology-Driven Text Classification and Data Mining: Beyond Keywords Toward Semantic Intelligence","year":2025,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Information retrieval; Text mining; Natural language processing; Artificial intelligence; Data science","score_opus":0.10368746389050604,"score_gpt":0.3350575150056456,"score_spread":0.23137005111513959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412819086","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016014284,0.008074114,0.959776,0.0065180566,0.0003136937,0.00031547152,0.0014707429,0.001705262,0.0058123036],"genre_scores_gemma":[0.1927475,0.010716385,0.78550047,0.0014796419,0.00045486054,0.00038962203,0.005021131,0.00040208927,0.0032883063],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99430877,0.0019228129,0.0006551843,0.00083722384,0.0020624816,0.00021354176],"domain_scores_gemma":[0.99146175,0.004884906,0.00079655275,0.0010474432,0.001575572,0.00023366361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057820007,0.0007279155,0.0011625909,0.00905354,0.000951077,0.0057126177,0.0016681865,0.0011356327,0.0012230496],"category_scores_gemma":[0.017219102,0.00029673777,0.0016286651,0.010428953,0.0019332819,0.015348122,0.0026589152,0.002202108,0.0013258966],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010200647,0.00016880901,0.006661805,0.0015615117,0.00017869873,0.00017146001,0.0015930344,0.007884686,0.005766623,0.1431944,0.011575974,0.82114106],"study_design_scores_gemma":[0.000026863247,0.000089620786,0.0037871567,0.001505115,0.00016594147,0.00048407598,0.0027807665,0.18544513,0.016560743,0.6428746,0.14616725,0.00011275076],"about_ca_topic_score_codex":0.0031811362,"about_ca_topic_score_gemma":0.0037177345,"teacher_disagreement_score":0.00905354,"about_ca_system_score_codex":0.0019555292,"about_ca_system_score_gemma":0.0036406782,"threshold_uncertainty_score":0.030578494},"labels":[],"label_agreement":null},{"id":"W4412872980","doi":"10.36227/techrxiv.174612962.26131807/v3","title":"LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Knowledge management; Computer science","score_opus":0.06090628491163916,"score_gpt":0.34290810321874127,"score_spread":0.28200181830710214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412872980","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014240324,0.20214325,0.7207986,0.005284888,0.00050648267,0.0006735822,0.00057054585,0.0033806274,0.052401688],"genre_scores_gemma":[0.26664534,0.1672193,0.5468016,0.0016807477,0.00082835596,0.0011498533,0.0022338242,0.0006378839,0.012803061],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99559814,0.0016654861,0.000476223,0.00074274855,0.0013374952,0.00017994954],"domain_scores_gemma":[0.99670863,0.0018679651,0.00027997667,0.0005500978,0.000427816,0.00016545567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037861464,0.0009210452,0.0013041358,0.0028735702,0.0013395713,0.004409816,0.002986568,0.0023114516,0.0049862615],"category_scores_gemma":[0.006776975,0.000775398,0.0011843358,0.004398947,0.0016640321,0.0067675295,0.0041306694,0.001262176,0.0017477119],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011539929,0.0002507512,0.0029266314,0.006245851,0.00020760288,0.0003095446,0.0022315497,0.018324122,0.002445282,0.21516712,0.015896402,0.7358798],"study_design_scores_gemma":[0.00003576257,0.00022212422,0.0023489315,0.0019218329,0.00013567063,0.0012001013,0.0019273089,0.11010725,0.0034223325,0.20719793,0.67135334,0.00012748869],"about_ca_topic_score_codex":0.0035005764,"about_ca_topic_score_gemma":0.0022548414,"teacher_disagreement_score":0.0049862615,"about_ca_system_score_codex":0.002143486,"about_ca_system_score_gemma":0.0026674096,"threshold_uncertainty_score":0.020023286},"labels":[],"label_agreement":null},{"id":"W4412901852","doi":"10.1609/socs.v18i1.36017","title":"Frontmatter","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Royal Holloway, University of London; Universitat Politècnica de València; University of California, Irvine; Università degli Studi di Udine; RWTH Aachen University; Syddansk Universitet; Universidad Carlos III de Madrid; Ben-Gurion University of the Negev; Shanghai Jiao Tong University; Universität Konstanz; Technische Universität Wien; Università degli Studi di Trento; Linköpings Universitet; Università degli Studi di Brescia; Bar-Ilan University; Fondazione Bruno Kessler; Universität Stuttgart; Universität des Saarlandes; Technische Universiteit Delft; Monash University; University of Auckland; Amazon Robotics; University of Toronto; University of Glasgow; University of South Carolina; Institute of Software, Chinese Academy of Sciences; Helsingin Yliopisto; University of Alberta; Simon Fraser University; Universität Basel; Chinese Academy of Sciences; University of California, Los Angeles; Masarykova Univerzita; České Vysoké Učení Technické v Praze; University of Oxford; RMIT University; Mississippi State University; Carnegie Mellon University; Univerzita Karlova v Praze; University of Southern California","keywords":"Computer science","score_opus":0.012928365130839085,"score_gpt":0.2653881100871542,"score_spread":0.2524597449563151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412901852","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078002416,0.0024022541,0.026287578,0.010398939,0.02172307,0.00047333736,0.018775089,0.029796876,0.88936293],"genre_scores_gemma":[0.0025217284,0.0012409895,0.0048251497,0.0025611052,0.0031121005,0.00018869607,0.01249253,0.008339695,0.9647181],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986878,0.0001428874,0.000068373025,0.0002024412,0.0007040725,0.0001944064],"domain_scores_gemma":[0.9954079,0.0006999371,0.00020166975,0.0007602885,0.0017820145,0.0011480309],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001528387,0.0013833448,0.0013172069,0.0031796165,0.0018788439,0.009144931,0.0029122143,0.0028827898,0.8597202],"category_scores_gemma":[0.010046187,0.0008265344,0.0010015406,0.0030917148,0.00052671926,0.0074866903,0.004471062,0.0027402681,0.76248056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025071595,0.000014577317,0.000038626655,0.00006329309,0.0000014218729,0.000025814392,0.000020440077,0.000052840853,0.0001407835,0.0025278213,0.94909054,0.047998782],"study_design_scores_gemma":[0.0000070167653,0.000010511697,0.000052919655,0.00003204323,0.0000010444838,0.00003967977,0.000012811102,0.00013134754,0.00012428669,0.0013169731,0.99826616,0.000005134055],"about_ca_topic_score_codex":0.0013493514,"about_ca_topic_score_gemma":0.0030811233,"teacher_disagreement_score":0.14027983,"about_ca_system_score_codex":0.0015272632,"about_ca_system_score_gemma":0.001631496,"threshold_uncertainty_score":0.20009214},"labels":[],"label_agreement":null},{"id":"W4412944489","doi":"10.18653/v1/2025.findings-acl.1312","title":"MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Catastrophic Loss Reduction; Cisco Systems","keywords":"Benchmark (surveying); Computer science; Artificial intelligence; Model-based reasoning; Information retrieval; Knowledge representation and reasoning","score_opus":0.014749220718635377,"score_gpt":0.27140786272907913,"score_spread":0.25665864201044375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412944489","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38778436,0.0073196255,0.29596144,0.0063843,0.002199524,0.0035285337,0.15819712,0.07221272,0.06641239],"genre_scores_gemma":[0.34902182,0.0010310059,0.38671815,0.001515109,0.00018952395,0.0013754901,0.248537,0.0026119684,0.008999975],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99531895,0.0020163069,0.00042834444,0.0009189791,0.0011403944,0.000177047],"domain_scores_gemma":[0.98061246,0.012998159,0.00054479524,0.0029772653,0.002346081,0.00052132725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003999408,0.0014767227,0.0005496984,0.0021856118,0.0010566461,0.0021150038,0.0030277257,0.0022595322,0.005492803],"category_scores_gemma":[0.025443189,0.00035508283,0.0013634143,0.0020341752,0.0010952485,0.00267507,0.0019757694,0.002413317,0.0022630568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017784178,0.003098316,0.013178827,0.006144494,0.00060419965,0.0018781595,0.0015529693,0.1873863,0.02151026,0.03196633,0.3698815,0.36102018],"study_design_scores_gemma":[0.0010315159,0.0012175284,0.007447057,0.0005357145,0.00018219973,0.0011070366,0.0014462624,0.68324786,0.05696761,0.044706192,0.20191763,0.00019339116],"about_ca_topic_score_codex":0.01020559,"about_ca_topic_score_gemma":0.019184649,"teacher_disagreement_score":0.01020559,"about_ca_system_score_codex":0.0019425674,"about_ca_system_score_gemma":0.0021774375,"threshold_uncertainty_score":0.021151185},"labels":[],"label_agreement":null},{"id":"W4413361084","doi":"10.1109/icde65448.2025.00207","title":"Efficient Execution of SPARQL Queries with OPTIONAL and UNION Expressions","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada","keywords":"SPARQL; Computer science; Named graph; Programming language; Information retrieval; Semantic Web; RDF","score_opus":0.006931119846403183,"score_gpt":0.23031857517067855,"score_spread":0.22338745532427537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413361084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05346883,0.00026351982,0.9112633,0.0006191261,0.000064259584,0.00046369428,0.0019151402,0.02310566,0.008836477],"genre_scores_gemma":[0.3479858,0.00029386405,0.6373785,0.00033579904,0.00003944392,0.00029142358,0.006744782,0.0032400077,0.0036903394],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962004,0.0008512898,0.00040913597,0.000491328,0.0017438622,0.00030401128],"domain_scores_gemma":[0.9963084,0.0015993138,0.00025259718,0.0011754296,0.0005629509,0.000101232494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030063188,0.00085000705,0.00075090944,0.0009187834,0.0010174434,0.0020545365,0.0016907534,0.00061074743,0.0025703178],"category_scores_gemma":[0.006691992,0.00052838546,0.0010181672,0.001962838,0.0009047312,0.0032633583,0.0017134307,0.0014255091,0.00081863615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014077978,0.00067632314,0.012488947,0.00074268796,0.00026882504,0.00082726305,0.0014609443,0.21125317,0.06848753,0.14910609,0.049578622,0.50370175],"study_design_scores_gemma":[0.00010602676,0.00008870305,0.0012449641,0.000046108107,0.00006316805,0.00023963854,0.0004330531,0.8403694,0.068605974,0.057510085,0.031242175,0.000050671544],"about_ca_topic_score_codex":0.008365322,"about_ca_topic_score_gemma":0.014027277,"teacher_disagreement_score":0.008365322,"about_ca_system_score_codex":0.00103588,"about_ca_system_score_gemma":0.002557026,"threshold_uncertainty_score":0.016633272},"labels":[],"label_agreement":null},{"id":"W4413461168","doi":"10.1109/icdew67478.2025.00041","title":"IEML-A New Frontier for Semantic Computing and Collective Intelligence in the Cooking Domain","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Frontier; Computer science; Collective intelligence; Domain (mathematical analysis); Intelligence analysis; Data science; Artificial intelligence; Natural language processing; Computer security; Geography; Mathematics","score_opus":0.01892746051458803,"score_gpt":0.2892991371913054,"score_spread":0.27037167667671735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413461168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017442432,0.0025267643,0.97086257,0.008652497,0.0005254277,0.00008705385,0.00028677148,0.0012466803,0.014067928],"genre_scores_gemma":[0.0833631,0.008101556,0.892774,0.0033381507,0.0012153066,0.00047322907,0.0018879152,0.00090675557,0.007940026],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9920912,0.0043976987,0.0007435384,0.0009003196,0.001548494,0.0003187615],"domain_scores_gemma":[0.98964113,0.0055019837,0.00047219498,0.0031344544,0.000830058,0.00042007604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010544493,0.0010826766,0.0012394334,0.00330112,0.0019138166,0.013758364,0.0034107962,0.0038041635,0.0037873748],"category_scores_gemma":[0.016223574,0.00082320644,0.002476433,0.0038585623,0.008810772,0.029438099,0.0077572432,0.00603072,0.0015194323],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021914586,0.000023577068,0.00020594636,0.00019117315,0.0000290602,0.00012127543,0.00081526185,0.00262035,0.0004984005,0.95280385,0.0050369846,0.037632134],"study_design_scores_gemma":[0.000012514135,0.000016184365,0.00009821619,0.00023584535,0.000024185018,0.00014407658,0.00042366236,0.016717458,0.00093056867,0.81590134,0.1654604,0.00003564755],"about_ca_topic_score_codex":0.003541248,"about_ca_topic_score_gemma":0.0030037872,"teacher_disagreement_score":0.013758364,"about_ca_system_score_codex":0.0025600477,"about_ca_system_score_gemma":0.0037059938,"threshold_uncertainty_score":0.05576527},"labels":[],"label_agreement":null},{"id":"W4413491550","doi":"10.1007/978-3-031-97788-6_16","title":"Description Logic","year":2025,"lang":"en","type":"book-chapter","venue":"Health information technology standards","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science","score_opus":0.022629581879278708,"score_gpt":0.2907094826252294,"score_spread":0.26807990074595067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413491550","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021768287,0.009724157,0.3818212,0.006611506,0.00067616545,0.00025317568,0.00554855,0.0021000674,0.5910884],"genre_scores_gemma":[0.14428525,0.018341659,0.31252208,0.0069848145,0.0011180416,0.0009760523,0.023487808,0.001530994,0.4907533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983954,0.00039874954,0.00015252555,0.00034822998,0.0006074467,0.00009751465],"domain_scores_gemma":[0.999126,0.00040600295,0.00004357616,0.0001920312,0.00019584557,0.000036499187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012198798,0.001215286,0.0008220526,0.0025688966,0.0013401539,0.0066366945,0.0019884252,0.0013610454,0.04171952],"category_scores_gemma":[0.0025818925,0.00071417296,0.0011512432,0.0038546657,0.0022073383,0.008221112,0.002013933,0.0026874423,0.015406352],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010828182,0.000018961815,0.000047696692,0.00013784724,0.000010368778,0.000044549543,0.00012037408,0.0005809123,0.000227832,0.9240341,0.027154895,0.047611766],"study_design_scores_gemma":[0.000010148427,0.0000046191612,0.00004341571,0.00008650671,0.000011564297,0.0001001271,0.00006804219,0.0019037016,0.0004856386,0.67801625,0.31926003,0.000010024266],"about_ca_topic_score_codex":0.0052176425,"about_ca_topic_score_gemma":0.0039144163,"teacher_disagreement_score":0.04171952,"about_ca_system_score_codex":0.0032546269,"about_ca_system_score_gemma":0.0017947451,"threshold_uncertainty_score":0.1395657},"labels":[],"label_agreement":null},{"id":"W4413719202","doi":"10.3390/appliedmath5030109","title":"Intensional Conceptualization Model and Its Language for Open Distributed Environments","year":2025,"lang":"en","type":"article","venue":"AppliedMath","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Conceptualization; Computer science; Modeling language; Programming language; Artificial intelligence; Software","score_opus":0.02524895224577713,"score_gpt":0.29276439537012894,"score_spread":0.2675154431243518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413719202","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025367981,0.00031572286,0.98731285,0.00096501625,0.000080820384,0.000096790136,0.00017446469,0.0004901768,0.0080273235],"genre_scores_gemma":[0.124885365,0.0007698493,0.8673643,0.00089589495,0.00013787113,0.0006993839,0.00083294435,0.00019755513,0.0042167627],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968549,0.001107064,0.00038785036,0.0005918376,0.00082445476,0.00023386678],"domain_scores_gemma":[0.99748343,0.0010089655,0.00027738034,0.0006861495,0.0003878751,0.00015621986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047798315,0.0008367299,0.0006711365,0.0022298659,0.0012738785,0.0052216193,0.0029316214,0.001675463,0.004043624],"category_scores_gemma":[0.005301412,0.000639161,0.0022072857,0.0021014162,0.004045189,0.011286595,0.0036978421,0.0040325313,0.0010230853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074526747,0.000015248964,0.00010558656,0.000045208297,0.000008997919,0.000069265305,0.00033062501,0.002933571,0.00037351862,0.98609924,0.0010009303,0.00901032],"study_design_scores_gemma":[0.00002335037,0.000034049353,0.00018578893,0.00014867722,0.00003605319,0.00037216907,0.00035976357,0.07393761,0.0015298119,0.7933356,0.1299985,0.000038594088],"about_ca_topic_score_codex":0.0034475927,"about_ca_topic_score_gemma":0.003076193,"teacher_disagreement_score":0.0052216193,"about_ca_system_score_codex":0.002260242,"about_ca_system_score_gemma":0.0029930081,"threshold_uncertainty_score":0.025278449},"labels":[],"label_agreement":null},{"id":"W4413914970","doi":"10.3233/faia250483","title":"Charting Possible Worlds: The Quest for Meaning in Ontologies","year":2025,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Meaning (existential); Epistemology; Possible world; Environmental ethics; Sociology; Philosophy","score_opus":0.052079760613094495,"score_gpt":0.2979116928007506,"score_spread":0.2458319321876561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413914970","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012521258,0.030043453,0.57743317,0.033044394,0.0010894827,0.00008258074,0.00018489898,0.00025082642,0.34534997],"genre_scores_gemma":[0.6112035,0.03405644,0.29899228,0.004471958,0.0019374625,0.0005721489,0.00043622786,0.00048368383,0.047846302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975999,0.0015143483,0.00009838845,0.00021767565,0.0004435195,0.00012621249],"domain_scores_gemma":[0.99683064,0.0023963298,0.00014469508,0.00030875404,0.00019903526,0.0001205222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036906537,0.0007672244,0.00067807094,0.0028432328,0.002813881,0.010425665,0.001653469,0.002184729,0.0030469715],"category_scores_gemma":[0.0048928335,0.00045503431,0.0010210644,0.0038364322,0.026687253,0.0242749,0.0035782957,0.005245857,0.0007844877],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.5537554e-7,0.000001152399,0.0000125169245,0.00001176784,8.1694037e-7,0.000009298108,0.00046644916,0.00014248604,0.000017780978,0.99728715,0.00043095124,0.0016188916],"study_design_scores_gemma":[8.170091e-7,0.000001299096,0.000016202157,0.000028400058,0.0000013744383,0.000014396581,0.00025807956,0.0005952286,0.00004057852,0.9798924,0.019148398,0.0000028124264],"about_ca_topic_score_codex":0.002830863,"about_ca_topic_score_gemma":0.0023890827,"teacher_disagreement_score":0.010425665,"about_ca_system_score_codex":0.0046511283,"about_ca_system_score_gemma":0.0021646258,"threshold_uncertainty_score":0.03374648},"labels":[],"label_agreement":null},{"id":"W4413918298","doi":"10.1109/e-cargo65996.2025.11139209","title":"Computational Thinking, Object-Oriented Programming to Role-Based Collaboration","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Computer science; Computational thinking; Object-oriented programming; Programming language; Programming paradigm; Human–computer interaction; Software engineering; Artificial intelligence","score_opus":0.007232418751385325,"score_gpt":0.26862759008220954,"score_spread":0.26139517133082424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413918298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038936764,0.0012432114,0.9694158,0.0035631363,0.00019367402,0.00007574047,0.000047442896,0.00026855196,0.021298729],"genre_scores_gemma":[0.17012572,0.002716125,0.81744695,0.0014760838,0.00028628565,0.00048442231,0.00014169113,0.00020976008,0.0071128993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981123,0.0011086793,0.000106911386,0.0003056184,0.0002587948,0.00010762718],"domain_scores_gemma":[0.9973572,0.0016982935,0.00020757386,0.00038058913,0.00014757337,0.00020874989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002723076,0.00094715867,0.00057044806,0.0012519569,0.0013723191,0.004674333,0.001726783,0.0013883547,0.0054591736],"category_scores_gemma":[0.0047928807,0.0004502364,0.0012193535,0.0021947161,0.008905376,0.0051533147,0.002977724,0.0030207816,0.0008837247],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007981563,0.000021012182,0.0000942876,0.00008147036,0.0000086321525,0.0000421673,0.000318713,0.0051852916,0.00017713454,0.97931755,0.00086055096,0.0138851255],"study_design_scores_gemma":[0.000012663359,0.000014562792,0.00005291421,0.000049573235,0.000008392468,0.000056534234,0.00017458102,0.015275728,0.00027006082,0.959809,0.024267549,0.000008394502],"about_ca_topic_score_codex":0.0025811056,"about_ca_topic_score_gemma":0.002083398,"teacher_disagreement_score":0.0054591736,"about_ca_system_score_codex":0.0017790521,"about_ca_system_score_gemma":0.0026961134,"threshold_uncertainty_score":0.018262684},"labels":[],"label_agreement":null},{"id":"W4414002576","doi":"10.21203/rs.3.rs-7511758/v1","title":"Transforming Clinical Workflows with Spatial Reasoning AI: A Scoping Review of Real-Time Systems and Architectures","year":2025,"lang":"en","type":"review","venue":"Research Square","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Columbia College","funders":"","keywords":"Workflow; Computer science; Spatial intelligence; Data science; Artificial intelligence; Cognitive science; Psychology; Database","score_opus":0.08984251933913123,"score_gpt":0.46353771352307577,"score_spread":0.37369519418394453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414002576","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002426338,0.99498993,0.0028931398,0.0007082361,0.00010979312,0.000036583457,0.000043707023,0.000026027545,0.00095009425],"genre_scores_gemma":[0.003344257,0.9886158,0.007182109,0.00040000922,0.00012637558,0.000056622073,0.00010200395,0.00001468118,0.00015813723],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99589396,0.0014909777,0.00089571986,0.00047554588,0.0011070173,0.00013676533],"domain_scores_gemma":[0.9617421,0.032650884,0.0016220065,0.001173486,0.0026198663,0.0001916026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012976048,0.0012948988,0.0020353585,0.0077008414,0.0006158723,0.0044121174,0.0030106683,0.0022254898,0.0030909919],"category_scores_gemma":[0.030408852,0.0009622267,0.0023893304,0.010308096,0.002016809,0.0063932347,0.0020952527,0.0022689526,0.0009645232],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008938143,0.000096969896,0.0005886423,0.08574595,0.0004987688,0.000059364138,0.00037548895,0.0023515152,0.0005667098,0.020666867,0.006546867,0.88241357],"study_design_scores_gemma":[0.00009573528,0.00026077687,0.0024669087,0.19379076,0.0030470188,0.0008953444,0.0009164357,0.005210578,0.0028282034,0.0450878,0.7452426,0.00015780274],"about_ca_topic_score_codex":0.008760415,"about_ca_topic_score_gemma":0.00942783,"teacher_disagreement_score":0.012976048,"about_ca_system_score_codex":0.0031436114,"about_ca_system_score_gemma":0.011492408,"threshold_uncertainty_score":0.068624735},"labels":[],"label_agreement":null},{"id":"W4414002860","doi":"","title":"Proceedings of the Joint Ontology Workshops 2023 (JOWO 2023)","year":2023,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Canada Research Chairs; Natural Resources Canada; University of Toronto","funders":"","keywords":"Ontology; Joint (building); Computer science; Engineering; Architectural engineering; Philosophy; Epistemology","score_opus":0.017993593870207825,"score_gpt":0.2229600842929281,"score_spread":0.20496649042272028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414002860","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024964012,0.014357287,0.26336753,0.08008675,0.09940787,0.0018244724,0.015545004,0.0056745275,0.49477246],"genre_scores_gemma":[0.043303207,0.006894235,0.08890781,0.006802313,0.006892703,0.0008325732,0.027905349,0.0037325905,0.81472915],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964728,0.0013564491,0.00020864076,0.0003683076,0.0010742206,0.00051959587],"domain_scores_gemma":[0.99354315,0.0011415571,0.00019904628,0.0007944316,0.00211924,0.0022025409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010326925,0.0011663823,0.001027804,0.0019754355,0.0028001545,0.007720817,0.0015764687,0.0025052417,0.07474374],"category_scores_gemma":[0.006401758,0.000532225,0.0014090684,0.0021607894,0.0011121199,0.00577418,0.0062845545,0.0030184127,0.03269803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050362846,0.00034989428,0.00058423815,0.00036843712,0.000046153196,0.00020574704,0.0006754923,0.00065412605,0.0035495076,0.025619665,0.8248463,0.14259675],"study_design_scores_gemma":[0.000032453187,0.000027961567,0.0005577592,0.00010064874,0.000021603893,0.00008196852,0.00034793688,0.0011320029,0.0012780891,0.009713648,0.98668903,0.000016868153],"about_ca_topic_score_codex":0.012213803,"about_ca_topic_score_gemma":0.02561441,"teacher_disagreement_score":0.07474374,"about_ca_system_score_codex":0.0022680978,"about_ca_system_score_gemma":0.006917717,"threshold_uncertainty_score":0.25004274},"labels":[],"label_agreement":null},{"id":"W4414034870","doi":"10.1145/3705328.3748100","title":"Metadata Generation and Evaluation using LLMs - Case Study on Canonical Titles","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TD Bank Group","funders":"","keywords":"Metadata; Computer science; Information retrieval; World Wide Web; Database","score_opus":0.20931413969500845,"score_gpt":0.4130081259822041,"score_spread":0.20369398628719565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414034870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8975882,0.00065779476,0.059316255,0.00091994996,0.00016513185,0.00096771854,0.0053389645,0.0062169777,0.028828979],"genre_scores_gemma":[0.87490296,0.00030611738,0.10345724,0.0001324802,0.00005391858,0.00029624844,0.010260349,0.000818981,0.009771748],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99527824,0.0023033759,0.00044944393,0.00045810174,0.0013155681,0.00019535478],"domain_scores_gemma":[0.9798558,0.011278306,0.00058667554,0.0024171788,0.0051854113,0.00067658763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046527707,0.00042136858,0.00052350515,0.0036532674,0.0015933887,0.0023271225,0.0011196933,0.0011659203,0.0076092714],"category_scores_gemma":[0.025670327,0.00022741125,0.00047802788,0.0036508106,0.00096126285,0.0035242473,0.0014631295,0.0005201364,0.0023883055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004195426,0.004412273,0.07402682,0.0039934544,0.00020349325,0.00432303,0.014744322,0.030055573,0.05940998,0.02434824,0.040351667,0.7399357],"study_design_scores_gemma":[0.00097353425,0.0024847423,0.07283799,0.0010220011,0.00052290014,0.003850151,0.0377116,0.34281567,0.2823772,0.016110983,0.23889886,0.0003944523],"about_ca_topic_score_codex":0.011330547,"about_ca_topic_score_gemma":0.01395287,"teacher_disagreement_score":0.011330547,"about_ca_system_score_codex":0.0014807576,"about_ca_system_score_gemma":0.0017201991,"threshold_uncertainty_score":0.025455594},"labels":[],"label_agreement":null},{"id":"W4414090284","doi":"10.22148/001c.133923","title":"Beyond Computational Formalism or, Architecture Matters","year":2025,"lang":"en","type":"article","venue":"Journal of Cultural Analytics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Dartmouth College","keywords":"Formalism (music); Architecture; Calculus (dental); Representation (politics)","score_opus":0.017236449138540406,"score_gpt":0.2841832181358266,"score_spread":0.2669467689972862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414090284","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031333122,0.008942102,0.55167145,0.11408573,0.0017683593,0.00009204291,0.00069062214,0.0007815817,0.29063505],"genre_scores_gemma":[0.9022744,0.0056639616,0.06553061,0.0052292864,0.0012056073,0.00015808789,0.0003413002,0.00055596174,0.01904069],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99705017,0.0013737328,0.00017958421,0.0006498148,0.0005145358,0.00023209538],"domain_scores_gemma":[0.9935988,0.0031792896,0.0004362933,0.0019320421,0.00054010976,0.00031353784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052369833,0.0008170954,0.00083494344,0.0014813162,0.0022388785,0.00971015,0.0019618613,0.0027975875,0.006786974],"category_scores_gemma":[0.013703721,0.0005600802,0.0006721485,0.0015461788,0.03046048,0.03062626,0.0037050643,0.006277441,0.0017269038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028434597,0.0000020868888,0.000055057946,0.000017998645,0.0000035902287,0.000009110889,0.00029427244,0.0002900928,0.000043465618,0.9973236,0.0004193718,0.0015385606],"study_design_scores_gemma":[0.00000294311,0.0000031487664,0.000035252764,0.000029550165,0.0000028818915,0.000023406445,0.00021700017,0.0005272857,0.000053426393,0.9866237,0.012477576,0.0000038889752],"about_ca_topic_score_codex":0.0025502997,"about_ca_topic_score_gemma":0.002300641,"teacher_disagreement_score":0.00971015,"about_ca_system_score_codex":0.0029257191,"about_ca_system_score_gemma":0.0027744675,"threshold_uncertainty_score":0.027696133},"labels":[],"label_agreement":null},{"id":"W4414359739","doi":"10.24963/ijcai.2025/587","title":"Towards Debiased Generalized Category Discovery","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Overconfidence effect; Classifier (UML); Pattern recognition (psychology); Robustness (evolution); Synthetic data; Training set","score_opus":0.019476176319590165,"score_gpt":0.2708247524718138,"score_spread":0.25134857615222367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414359739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06971798,0.001445042,0.9234129,0.0007794049,0.0000944317,0.000112243666,0.00021631921,0.0024640865,0.0017576325],"genre_scores_gemma":[0.5528829,0.0004537248,0.43924195,0.0012323455,0.00019617734,0.00016793647,0.0014616457,0.00033736494,0.0040259096],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9947173,0.0014894236,0.00025388057,0.0016504506,0.0014811505,0.0004077805],"domain_scores_gemma":[0.98782116,0.004784283,0.0010120787,0.003225862,0.0026547015,0.0005018708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007385302,0.0014995115,0.002799139,0.0033690021,0.0016434243,0.0024587486,0.0041431813,0.0027080497,0.0015088639],"category_scores_gemma":[0.017978875,0.0006544377,0.0012809567,0.0030502134,0.0023054148,0.0047509233,0.0054734442,0.0034290175,0.00092000497],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007070664,0.00025199342,0.011307875,0.0002444436,0.00020729758,0.00022522634,0.0005397904,0.07361982,0.008161073,0.018380877,0.009738909,0.87661564],"study_design_scores_gemma":[0.000060357757,0.00018920505,0.0014647814,0.000049275393,0.000061429695,0.00035451428,0.00024427925,0.9225914,0.008189302,0.060742095,0.0060026115,0.000050706985],"about_ca_topic_score_codex":0.0052250107,"about_ca_topic_score_gemma":0.006004788,"teacher_disagreement_score":0.007385302,"about_ca_system_score_codex":0.0016670924,"about_ca_system_score_gemma":0.0031538594,"threshold_uncertainty_score":0.039057672},"labels":[],"label_agreement":null},{"id":"W4414359800","doi":"10.24963/ijcai.2025/507","title":"Reasoning About Causal Knowledge in Nondeterministic Domains","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Regina","funders":"","keywords":"Nondeterministic algorithm; Causality (physics); Causal reasoning; Outcome (game theory); Causation; Domain (mathematical analysis); Causal model; Domain knowledge","score_opus":0.012882682432109016,"score_gpt":0.29766114529845206,"score_spread":0.28477846286634306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414359800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014462703,0.0005041133,0.9780633,0.0019425156,0.00009215151,0.00010179553,0.00021214086,0.00048042196,0.004140939],"genre_scores_gemma":[0.5518126,0.0014667672,0.44194478,0.0007207466,0.00034367293,0.000265552,0.0008162282,0.00018153364,0.0024480904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98785406,0.0044047986,0.001342031,0.0019986804,0.0034318774,0.0009685332],"domain_scores_gemma":[0.9578971,0.032538343,0.00308467,0.0033512625,0.0022801682,0.00084851857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01516619,0.0012976298,0.0014816052,0.0045054317,0.003842894,0.0072588422,0.0032329499,0.002700168,0.0029304314],"category_scores_gemma":[0.039312955,0.0015595693,0.0043719755,0.0030214866,0.007967967,0.018931596,0.006875327,0.0063226633,0.00035737973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071087365,0.000067120964,0.00166559,0.00022029957,0.00014174293,0.00079752493,0.0009476933,0.108930275,0.0008303207,0.86664903,0.0010261093,0.018653154],"study_design_scores_gemma":[0.000022253631,0.000013360782,0.00020216733,0.000051907595,0.00007240605,0.00011294387,0.00017150783,0.13737404,0.0013050956,0.85563225,0.0050042076,0.000037899634],"about_ca_topic_score_codex":0.016966913,"about_ca_topic_score_gemma":0.015580971,"teacher_disagreement_score":0.016966913,"about_ca_system_score_codex":0.0038056418,"about_ca_system_score_gemma":0.004722014,"threshold_uncertainty_score":0.08020747},"labels":[],"label_agreement":null},{"id":"W4414360343","doi":"10.24963/ijcai.2025/1206","title":"Meaning Holism and Indeterminacy of Reference in Ontologies (Extended Abstract)","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Holism; Indeterminacy (philosophy); Meaning (existential); Ontology; Term (time); Class (philosophy); Set (abstract data type)","score_opus":0.027632368051798487,"score_gpt":0.2944172838392858,"score_spread":0.2667849157874873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414360343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055807505,0.0064366693,0.82200277,0.021730086,0.0006279387,0.00008917021,0.00018164977,0.00031230302,0.09281195],"genre_scores_gemma":[0.89963454,0.0019945647,0.089958385,0.0018297761,0.0005688896,0.00019930559,0.00014095879,0.0001455904,0.005527975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99186784,0.004348615,0.00067769183,0.0010817377,0.0016198436,0.00040417537],"domain_scores_gemma":[0.9874057,0.007582461,0.0010437584,0.0023466584,0.0013313523,0.0002900013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009532723,0.00047151675,0.0009495748,0.0027981102,0.0030684974,0.0071798824,0.0013643528,0.0018688757,0.0021729863],"category_scores_gemma":[0.0146117285,0.0005304549,0.00153434,0.003001679,0.028526347,0.014129864,0.0062021855,0.004474616,0.00038388564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046744804,0.0000027852448,0.00008226239,0.000020285952,0.0000052362884,0.00004112023,0.0008521874,0.00035511958,0.0000960195,0.99639136,0.00030930125,0.0018397446],"study_design_scores_gemma":[0.0000033663937,0.0000036603383,0.00005967764,0.00001592941,0.0000048928728,0.00003491459,0.00012486236,0.0009723098,0.00009708629,0.9948927,0.0037856298,0.0000050577687],"about_ca_topic_score_codex":0.0030635872,"about_ca_topic_score_gemma":0.0020350001,"teacher_disagreement_score":0.009532723,"about_ca_system_score_codex":0.0038984981,"about_ca_system_score_gemma":0.0018890926,"threshold_uncertainty_score":0.050414443},"labels":[],"label_agreement":null},{"id":"W4414360825","doi":"10.24963/ijcai.2024/1206","title":"Meaning Holism and Indeterminacy of Reference in Ontologies (Extended Abstract)","year":2024,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Holism; Indeterminacy (philosophy); Meaning (existential); Ontology; Term (time); Class (philosophy); Set (abstract data type)","score_opus":0.039705657419789556,"score_gpt":0.2961487829561827,"score_spread":0.25644312553639315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414360825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05595728,0.0064815357,0.82109994,0.021931784,0.0006311145,0.00008934476,0.00018243703,0.000313042,0.093313515],"genre_scores_gemma":[0.8998322,0.0020007722,0.08972091,0.0018385857,0.000571325,0.00019984294,0.00014106561,0.00014557266,0.0055497503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99186933,0.0043539004,0.0006756717,0.0010806773,0.0016166476,0.0004038192],"domain_scores_gemma":[0.98739874,0.0075969524,0.0010415991,0.0023419715,0.0013313631,0.00028937074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009530409,0.0004706373,0.0009490512,0.0027990604,0.0030665959,0.0071717086,0.0013639851,0.0018692128,0.00217376],"category_scores_gemma":[0.014597098,0.0005298167,0.0015327615,0.003003996,0.028552337,0.014106994,0.0061876075,0.0044746418,0.0003838637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046703453,0.0000027887481,0.00008227956,0.000020298821,0.0000052409296,0.000041079467,0.00085126143,0.0003557828,0.000095856274,0.99639136,0.0003106946,0.0018386545],"study_design_scores_gemma":[0.0000033634387,0.0000036579347,0.000059596205,0.000015904383,0.0000048900797,0.000034817633,0.00012473599,0.0009696598,0.00009653219,0.99489766,0.0037840765,0.0000050382346],"about_ca_topic_score_codex":0.0030695216,"about_ca_topic_score_gemma":0.0020358486,"teacher_disagreement_score":0.009530409,"about_ca_system_score_codex":0.00390746,"about_ca_system_score_gemma":0.0018939746,"threshold_uncertainty_score":0.050402224},"labels":[],"label_agreement":null},{"id":"W4414459164","doi":"10.1109/acdsa65407.2025.11166412","title":"How Reliable Is Semantic Search in Industrial Computing Domain? A Statistical Evaluation Pipeline","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advantech AMT (Canada)","funders":"","keywords":"Set (abstract data type); Pipeline (software); Semantic search; Cover (algebra); Key (lock); Range (aeronautics); Semantic data model; Ground truth","score_opus":0.06602572388845862,"score_gpt":0.3357651664666445,"score_spread":0.2697394425781859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414459164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3043323,0.007125017,0.6218396,0.005531884,0.00043000648,0.0018757102,0.006714345,0.0133802,0.038770977],"genre_scores_gemma":[0.81841373,0.001219274,0.16818877,0.0003920933,0.00014502348,0.0007034262,0.008001298,0.0012027296,0.0017337658],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9268167,0.0384268,0.0062849256,0.0045857495,0.022239229,0.0016465152],"domain_scores_gemma":[0.7944503,0.13964373,0.008515594,0.01949706,0.03577461,0.0021187388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.056634195,0.0015555107,0.0019186648,0.0135476,0.0013817647,0.0071755266,0.0022312987,0.0023974744,0.0037802786],"category_scores_gemma":[0.24542041,0.0004928892,0.0012992258,0.009106664,0.0024762482,0.013768805,0.003669544,0.0018715594,0.0028712417],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022597297,0.00094623887,0.0955827,0.004000399,0.0009305726,0.00041046183,0.0025044577,0.065261446,0.018520223,0.031491015,0.033142786,0.74495],"study_design_scores_gemma":[0.00025647567,0.0016521165,0.047267836,0.0012401306,0.00042834252,0.0006933778,0.0040485836,0.78034854,0.044543892,0.084543526,0.034608282,0.0003688162],"about_ca_topic_score_codex":0.0050868425,"about_ca_topic_score_gemma":0.006245792,"teacher_disagreement_score":0.056634195,"about_ca_system_score_codex":0.002189919,"about_ca_system_score_gemma":0.004192438,"threshold_uncertainty_score":0.29951388},"labels":[],"label_agreement":null},{"id":"W4414528919","doi":"10.1177/22104968251377338","title":"Hierarchical Blockmodeling for Knowledge Graphs","year":2025,"lang":"en","type":"article","venue":"Semantic Web","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Gibbs sampling; Inference; Graphical model; Cluster analysis; Scalability; Probabilistic logic; Knowledge graph; Set (abstract data type); Graph; Generative model","score_opus":0.022589833720431576,"score_gpt":0.28954663669859815,"score_spread":0.2669568029781666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414528919","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040104035,0.00016104752,0.9940842,0.00026800236,0.000017931052,0.000041553714,0.00034943386,0.00024073989,0.00082666316],"genre_scores_gemma":[0.3701206,0.0011320206,0.6148481,0.00055173703,0.0001699629,0.00079392793,0.0037259087,0.0004420181,0.008215669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99752,0.0011439038,0.00010502744,0.00068215874,0.00040900006,0.0001399241],"domain_scores_gemma":[0.99107414,0.0066684904,0.0006606829,0.00091228855,0.0004838456,0.00020065469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003215662,0.0009529854,0.0013627846,0.002402237,0.0011220146,0.0021114924,0.0032420242,0.0020918755,0.0063278843],"category_scores_gemma":[0.01687041,0.001050652,0.0023728826,0.0030151184,0.0019918953,0.0054371497,0.002004864,0.0029536309,0.0014346425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049866096,0.00003823228,0.0010510338,0.00012919908,0.00008931845,0.0001023506,0.00028760478,0.5544408,0.0006193476,0.41723022,0.0023392923,0.023622647],"study_design_scores_gemma":[0.000008140345,0.0000073932733,0.00012162816,0.000011233922,0.000010865822,0.000020195832,0.000014455917,0.79341,0.00010144489,0.2048916,0.0013961897,0.0000068094632],"about_ca_topic_score_codex":0.022900017,"about_ca_topic_score_gemma":0.038337316,"teacher_disagreement_score":0.022900017,"about_ca_system_score_codex":0.0032430396,"about_ca_system_score_gemma":0.0019323078,"threshold_uncertainty_score":0.04553342},"labels":[],"label_agreement":null},{"id":"W4414537698","doi":"10.1007/978-3-032-06136-2_33","title":"Ecolink: Towards a Knowledge Graph Schema for Complex Environmental Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Waterloo; McMaster University; University of Toronto; Carleton University","funders":"","keywords":"Schema (genetic algorithms); Knowledge graph; Publishing; Graph; Field (mathematics); Knowledge extraction; Data access; Knowledge engineering","score_opus":0.06192827477882113,"score_gpt":0.3094722729528911,"score_spread":0.24754399817406997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414537698","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019246863,0.00031754465,0.96486783,0.0006488867,0.00013817217,0.00014082683,0.010301834,0.011700648,0.0099594975],"genre_scores_gemma":[0.03620741,0.0017204662,0.89554924,0.0010076466,0.0000601402,0.00048686352,0.044902515,0.0047388803,0.015326723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993261,0.000113577735,0.000119760356,0.00016612861,0.00023622674,0.000038269605],"domain_scores_gemma":[0.9988525,0.00039184355,0.00008042846,0.0002742958,0.0003262899,0.00007472701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001095043,0.00081993086,0.0005792417,0.0028566835,0.0007429605,0.0042674197,0.002208059,0.0013814225,0.010393933],"category_scores_gemma":[0.0037688944,0.0008161029,0.0014479174,0.0029083195,0.0008473401,0.0066414843,0.0028765134,0.0024144023,0.005059667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007421697,0.00014740396,0.0018407502,0.0013283434,0.0001520568,0.00042740823,0.0013100436,0.045352746,0.0044070254,0.5435136,0.12342095,0.27802548],"study_design_scores_gemma":[0.000022001255,0.000016983118,0.0005195439,0.00038165823,0.00008411853,0.00030376215,0.0003098997,0.09891345,0.0049029235,0.20214148,0.69235617,0.000047997175],"about_ca_topic_score_codex":0.014332159,"about_ca_topic_score_gemma":0.022600938,"teacher_disagreement_score":0.014332159,"about_ca_system_score_codex":0.0013001914,"about_ca_system_score_gemma":0.0023470803,"threshold_uncertainty_score":0.034771204},"labels":[],"label_agreement":null},{"id":"W4414548709","doi":"10.1007/978-981-96-5604-2_22","title":"Interpreting and Visualizing SQL Queries from Natural Language: An NLP Architecture (SQLGenie)","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"SQL; Natural language; Query language; Usability; Natural language user interface; Data definition language; Query by Example; Natural (archaeology); Language Integrated Query","score_opus":0.008326599949208298,"score_gpt":0.2487949926510604,"score_spread":0.2404683927018521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414548709","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025078699,0.0003320655,0.936701,0.00042779677,0.00008277747,0.00016384595,0.0012525934,0.048722226,0.00980985],"genre_scores_gemma":[0.023151943,0.00094819756,0.9284569,0.0005725778,0.00006134465,0.0003111992,0.007009098,0.01323483,0.026253905],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990702,0.00018444094,0.00010110897,0.00024099767,0.0003472563,0.00005595709],"domain_scores_gemma":[0.9989343,0.0005915399,0.00004124885,0.00019557137,0.0001732625,0.00006412657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022332934,0.0013440652,0.00094229274,0.0017090956,0.0007664973,0.006581757,0.0021600905,0.0012796785,0.01510976],"category_scores_gemma":[0.0030295253,0.0014124889,0.0012899062,0.0020771082,0.0016971156,0.0047189496,0.003132628,0.0021432657,0.0087012565],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029124334,0.0002581985,0.0013191572,0.0008621585,0.00012215151,0.00083132606,0.0048858556,0.011150908,0.033734486,0.21971382,0.17366953,0.55316114],"study_design_scores_gemma":[0.00009434201,0.00007533518,0.0009880181,0.00039762128,0.00013183258,0.0009725134,0.00076677575,0.1594279,0.07506705,0.16812973,0.5938026,0.00014629112],"about_ca_topic_score_codex":0.0061807698,"about_ca_topic_score_gemma":0.007531096,"teacher_disagreement_score":0.01510976,"about_ca_system_score_codex":0.0010784073,"about_ca_system_score_gemma":0.0014953107,"threshold_uncertainty_score":0.050547123},"labels":[],"label_agreement":null},{"id":"W4414579812","doi":"","title":"Proceedings of the joint ontology workshops 2019, Episode V: The Styrian autumn of ontology","year":2019,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Ontology; Joint (building); Semantics (computer science)","score_opus":0.012160107988020053,"score_gpt":0.2115840428573224,"score_spread":0.19942393486930235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414579812","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028088452,0.015129381,0.04394557,0.30188066,0.14295875,0.0006523786,0.014399045,0.0018754704,0.45107037],"genre_scores_gemma":[0.084239766,0.007050578,0.017057681,0.022200422,0.010126211,0.00045298878,0.017001932,0.0018325684,0.8400379],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995833,0.0011481548,0.00019495172,0.00038521303,0.0015976301,0.0008411392],"domain_scores_gemma":[0.9923942,0.0014651752,0.00030129412,0.0005937041,0.00229323,0.0029524195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011538391,0.00058458,0.000514377,0.0015962488,0.00451181,0.009310259,0.0012224114,0.002561001,0.04269966],"category_scores_gemma":[0.009932352,0.00028922592,0.0007039946,0.002621875,0.0017974244,0.0057575405,0.008870219,0.0036061243,0.011253492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016927287,0.00007219402,0.00042986806,0.00022516002,0.00001270341,0.00015302771,0.0015008807,0.00020336625,0.00078314217,0.027392045,0.92663366,0.04242478],"study_design_scores_gemma":[0.000007740169,0.0000076181054,0.00051779114,0.00005645727,0.0000036468434,0.000027168957,0.00071609655,0.00012769314,0.00028092106,0.003972235,0.9942753,0.0000073295587],"about_ca_topic_score_codex":0.029606074,"about_ca_topic_score_gemma":0.07929587,"teacher_disagreement_score":0.04269966,"about_ca_system_score_codex":0.005541783,"about_ca_system_score_gemma":0.012574602,"threshold_uncertainty_score":0.14284462},"labels":[],"label_agreement":null},{"id":"W4414627526","doi":"","title":"Reframing Kripke: Resolution Matrix Semantics with Indeterminate Truth Values","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ATCO (Canada)","funders":"","keywords":"Normal modal logic; Deontic logic; Indeterminate; Modal logic; Soundness; Completeness (order theory); Accessibility relation; Modal; Semantics (computer science); Interpretation (philosophy)","score_opus":0.008923642252268563,"score_gpt":0.2396529136521004,"score_spread":0.23072927139983185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414627526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040270076,0.00039879506,0.97616243,0.0009199316,0.0001793989,0.00007148324,0.00022623451,0.00082355726,0.017191159],"genre_scores_gemma":[0.3745379,0.0011096393,0.606933,0.0009838475,0.00033966362,0.0004442807,0.0007473048,0.0008211164,0.014083157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960771,0.0013768079,0.00035142398,0.000855313,0.0010169978,0.00032228662],"domain_scores_gemma":[0.996951,0.0012249146,0.00022135371,0.00081405503,0.0006605477,0.00012804594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039589386,0.001197238,0.0010055465,0.0024269682,0.0023503306,0.006874252,0.0030864505,0.0018742809,0.010365711],"category_scores_gemma":[0.009404159,0.0009582571,0.0026036052,0.0022774998,0.0067192963,0.014656065,0.006583435,0.0052892105,0.0027085159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012748497,0.0000053934373,0.000022924067,0.000037663634,0.000008626008,0.000047799826,0.0002239866,0.001531359,0.00040583438,0.9921893,0.00064959144,0.0048647304],"study_design_scores_gemma":[0.000011392587,0.000008524626,0.000018824447,0.00003369237,0.000011828916,0.00006465607,0.000102549515,0.011754115,0.0013868058,0.97348684,0.013100769,0.000020144746],"about_ca_topic_score_codex":0.0027848433,"about_ca_topic_score_gemma":0.0032039508,"teacher_disagreement_score":0.010365711,"about_ca_system_score_codex":0.0026351393,"about_ca_system_score_gemma":0.0022372697,"threshold_uncertainty_score":0.03467679},"labels":[],"label_agreement":null},{"id":"W4414675660","doi":"10.21535/2hgj0953","title":"Editorial Note: The Launching of the Journal of Instrumentation, Automation and Systems (JIAS)","year":2014,"lang":"en","type":"article","venue":"The Journal of Instrumentation Automation and Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Automation; Work (physics); Process automation system; Information system","score_opus":0.012804642476009483,"score_gpt":0.2546750350003679,"score_spread":0.24187039252435844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414675660","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000399148,0.0016002299,0.00014337811,0.031181652,0.96583945,0.000012113823,0.000047302005,0.00007108705,0.0010649004],"genre_scores_gemma":[0.0007209251,0.002540561,0.00018305643,0.022756785,0.96385443,0.000015865126,0.000049769835,0.00008608605,0.009792597],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9889733,0.001162611,0.0011292893,0.0014796723,0.0064989086,0.00075610104],"domain_scores_gemma":[0.93568105,0.014140876,0.0036645753,0.001995965,0.03476156,0.009755883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008607296,0.002481396,0.00304495,0.00342342,0.0037364406,0.0126819415,0.003058327,0.011750198,0.025712233],"category_scores_gemma":[0.04233915,0.00094081793,0.0018849246,0.0019228898,0.003447583,0.00661842,0.0021828308,0.017935654,0.02770138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022304104,0.000010558818,0.00004597354,0.00012419168,0.0000062630857,0.000058788883,0.000018885772,0.000019877089,0.00008062538,0.00041591044,0.9950364,0.00416011],"study_design_scores_gemma":[0.000017190072,0.000026681366,0.00025045386,0.00022447114,0.000011501655,0.00023502644,0.00007472719,0.0001374813,0.00017292387,0.00070258207,0.9981274,0.000019576917],"about_ca_topic_score_codex":0.0010122128,"about_ca_topic_score_gemma":0.0019908103,"teacher_disagreement_score":0.025712233,"about_ca_system_score_codex":0.0028832955,"about_ca_system_score_gemma":0.0052861385,"threshold_uncertainty_score":0.08601594},"labels":[],"label_agreement":null},{"id":"W4414713296","doi":"10.1108/jd-05-2025-0129","title":"Information retrieval of humanities resources: subject searching from a user perspective","year":2025,"lang":"en","type":"article","venue":"Journal of Documentation","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subject (documents); Usability; Exploratory search; Cultural heritage; Key (lock); Visibility; Subject access; Information system; Perspective (graphical)","score_opus":0.014004928891972836,"score_gpt":0.2955831358688536,"score_spread":0.28157820697688074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414713296","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16812566,0.024825435,0.2549127,0.052470785,0.00065154757,0.00038749256,0.0007320779,0.0030735922,0.49482074],"genre_scores_gemma":[0.85597986,0.011526895,0.09704801,0.005313052,0.0005272341,0.00026325526,0.0005040674,0.00073380757,0.028103732],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99085593,0.0062860902,0.0005533107,0.00045983022,0.001589199,0.00025566292],"domain_scores_gemma":[0.9857232,0.010050875,0.000576136,0.001770126,0.0013990828,0.00048059574],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008894587,0.00028231333,0.00067873235,0.0036248253,0.0023432192,0.018790951,0.00092012726,0.0015416346,0.007977844],"category_scores_gemma":[0.021221824,0.0002959317,0.00049273676,0.0060839574,0.007042616,0.019516395,0.0049442705,0.0014412132,0.0024572485],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015705057,0.000104411214,0.012966786,0.002907845,0.00006488558,0.0008502698,0.15831864,0.00071683526,0.0058667017,0.4845785,0.026590401,0.30687773],"study_design_scores_gemma":[0.00004052447,0.00019265283,0.008435287,0.0029604007,0.00013671663,0.0027307156,0.16020139,0.004548339,0.005519607,0.20675889,0.60834503,0.00013057441],"about_ca_topic_score_codex":0.0034406323,"about_ca_topic_score_gemma":0.0031831826,"teacher_disagreement_score":0.98120904,"about_ca_system_score_codex":0.0020955876,"about_ca_system_score_gemma":0.0028296798,"threshold_uncertainty_score":0.047039688},"labels":[],"label_agreement":null},{"id":"W4414871006","doi":"10.5194/egusphere-2025-4744","title":"Developing Guidelines for Working with Multi-Model Ensembles in CMIP","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Science Fund of the Republic of Serbia; Natural Sciences and Engineering Research Council of Canada; Goddard Institute for Space Studies; Universität Bremen; Univerza v Ljubljani; Nuclear Safety and Security Commission; Council of Scientific and Industrial Research, India; National Oceanic and Atmospheric Administration; Yuhan; National Aeronautics and Space Administration","keywords":"Coupled model intercomparison project; Robustness (evolution); Climate model; Earth system science; Resource (disambiguation); Weighting; Climate system","score_opus":0.361018364077416,"score_gpt":0.399349299163137,"score_spread":0.038330935085720996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414871006","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015454636,0.0056499364,0.96019214,0.013721473,0.0013761009,0.0018441487,0.0023117578,0.004050235,0.009308732],"genre_scores_gemma":[0.008704646,0.003553209,0.9778887,0.0019099158,0.00050687336,0.002839098,0.0016851502,0.0013446815,0.0015676483],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.94027257,0.043202743,0.0071592275,0.0015856493,0.007138948,0.00064079073],"domain_scores_gemma":[0.7727506,0.13359106,0.009078429,0.016371833,0.065436386,0.002771664],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.085573256,0.0022685695,0.0016990564,0.006795581,0.002362199,0.007501402,0.01026927,0.0062149805,0.010805255],"category_scores_gemma":[0.28444785,0.0019181663,0.002958852,0.0056550666,0.0027751483,0.0104993805,0.0068920623,0.008945543,0.013317245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015990759,0.00033742495,0.0062362603,0.008385284,0.0004437521,0.0017021206,0.008658186,0.037664697,0.0047964733,0.2279586,0.33388433,0.36977285],"study_design_scores_gemma":[0.00011222445,0.00011814791,0.0022787433,0.015968872,0.00021263641,0.0004854842,0.0026751028,0.052670587,0.005714955,0.29101676,0.62843233,0.00031412623],"about_ca_topic_score_codex":0.007131841,"about_ca_topic_score_gemma":0.013072083,"teacher_disagreement_score":0.91442674,"about_ca_system_score_codex":0.0021433514,"about_ca_system_score_gemma":0.009577068,"threshold_uncertainty_score":0.45256007},"labels":[],"label_agreement":null},{"id":"W4414968375","doi":"10.48550/arxiv.2509.00072","title":"Test of Time: Rethinking Temporal Signal of Benchmark Contamination","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Government of Canada; Canadian Institute for Advanced Research","keywords":"Benchmark (surveying); Cutoff; Pipeline (software); Construct (python library); Measure (data warehouse); Scalability; Scale (ratio); Frontier","score_opus":0.03438101978987016,"score_gpt":0.2691918863281281,"score_spread":0.23481086653825797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414968375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8281914,0.0007476967,0.14630954,0.0016150541,0.00029583328,0.00024888793,0.0022164213,0.008643084,0.0117322],"genre_scores_gemma":[0.97163683,0.000053246677,0.02329292,0.00034923755,0.000052902393,0.00019386725,0.0016771661,0.0012324497,0.0015113321],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98912305,0.00463649,0.0006041289,0.0017570074,0.0033834355,0.0004959604],"domain_scores_gemma":[0.877147,0.08316228,0.005895764,0.022869254,0.009000294,0.0019254949],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.012615079,0.0010533032,0.000833091,0.001265067,0.0007693681,0.002485494,0.0015205874,0.0015917411,0.0040498236],"category_scores_gemma":[0.1769036,0.00042702083,0.0005861016,0.0013930796,0.0021224986,0.0035717154,0.0036489242,0.0036186858,0.0018835722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065505775,0.0017426801,0.12935153,0.0014765777,0.00051180343,0.00083275296,0.009591247,0.059301686,0.18950258,0.025139235,0.025210548,0.55078876],"study_design_scores_gemma":[0.00029994073,0.004430443,0.16700126,0.00028198896,0.00020979755,0.0008943056,0.0023930895,0.48386946,0.2560072,0.056091316,0.028172221,0.00034897085],"about_ca_topic_score_codex":0.0020870643,"about_ca_topic_score_gemma":0.0018538489,"teacher_disagreement_score":0.9873849,"about_ca_system_score_codex":0.0014579617,"about_ca_system_score_gemma":0.0010805911,"threshold_uncertainty_score":0.06671572},"labels":[],"label_agreement":null},{"id":"W4414978574","doi":"10.1145/3763126","title":"Flix: A Design for Language-Integrated Datalog","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Datalog; Implementation; Guard (computer science); Constraint programming; Modular design; Declarative programming; Program analysis; Logic programming","score_opus":0.02405137264420407,"score_gpt":0.3026961629178796,"score_spread":0.2786447902736755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414978574","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001494753,0.000072378214,0.9871565,0.00014607127,0.00004348024,0.00012296131,0.00025842403,0.00839202,0.002313428],"genre_scores_gemma":[0.0612703,0.0003410889,0.9235035,0.000748427,0.00008363695,0.00076691154,0.00179128,0.003843088,0.007651809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980202,0.00035000953,0.0002422915,0.00042730971,0.0007315307,0.00022861555],"domain_scores_gemma":[0.9983444,0.0005198009,0.00016718959,0.0004455516,0.00040088364,0.00012219074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036392221,0.00092447497,0.0006087451,0.0012213856,0.00087710255,0.0033914398,0.0037895076,0.001119005,0.006528843],"category_scores_gemma":[0.005403173,0.001353343,0.0014799125,0.0010459966,0.002103398,0.006946436,0.0038403377,0.0027959263,0.0022888593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007058092,0.0002784007,0.0026486493,0.001340161,0.00014957572,0.00065302337,0.0015979746,0.050863355,0.029920537,0.5894438,0.042262115,0.2801367],"study_design_scores_gemma":[0.00019899991,0.00031352375,0.00059816125,0.00050677784,0.00023416946,0.0010205687,0.00030263158,0.2638551,0.06422323,0.18372555,0.48485896,0.00016227555],"about_ca_topic_score_codex":0.0027499318,"about_ca_topic_score_gemma":0.0030529073,"teacher_disagreement_score":0.006528843,"about_ca_system_score_codex":0.0019546805,"about_ca_system_score_gemma":0.003014955,"threshold_uncertainty_score":0.021841168},"labels":[],"label_agreement":null},{"id":"W4414979150","doi":"10.32396/usurj.v10i2.868","title":"Understanding the time demands of integrated knowledge translation (iKT)","year":2025,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Saskatchewan Health Authority; Brock University; University of Saskatchewan","funders":"","keywords":"Knowledge translation; Chronic pain; Psychosocial; Certification; Intervention (counseling); Physical activity; Habit; Quality of life (healthcare)","score_opus":0.11395156940806007,"score_gpt":0.3128030921143607,"score_spread":0.19885152270630063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414979150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85728407,0.0034243986,0.025077855,0.031634882,0.0003501291,0.0013423585,0.00048308645,0.00027686212,0.080126375],"genre_scores_gemma":[0.9616802,0.0021169493,0.029075056,0.0016707302,0.00009206516,0.0012289012,0.00025354637,0.000087632216,0.0037950433],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.97879386,0.013608898,0.0011899633,0.0010098409,0.0035597063,0.0018377402],"domain_scores_gemma":[0.91615045,0.059636492,0.008037541,0.0030905732,0.009223299,0.003861548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020543087,0.00036702718,0.00039754304,0.0015269243,0.0030961095,0.007111224,0.0015359869,0.0011508211,0.007965898],"category_scores_gemma":[0.08092171,0.00044431895,0.0005098143,0.0020822068,0.0021541324,0.006286952,0.0041845622,0.0019274931,0.0011316016],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042425745,0.0018600546,0.06815575,0.0022450455,0.00006261153,0.0005126245,0.1266235,0.0013775193,0.0029835298,0.013111698,0.014586352,0.76805717],"study_design_scores_gemma":[0.0003244274,0.0026365186,0.32048517,0.0060548596,0.00020460335,0.0013246178,0.40652892,0.014003327,0.0066304863,0.05299838,0.18853751,0.00027130212],"about_ca_topic_score_codex":0.0090856,"about_ca_topic_score_gemma":0.015962493,"teacher_disagreement_score":0.020543087,"about_ca_system_score_codex":0.005410114,"about_ca_system_score_gemma":0.017174995,"threshold_uncertainty_score":0.10864353},"labels":[],"label_agreement":null},{"id":"W4415065478","doi":"10.48550/arxiv.2504.16264","title":"CLIRudit: Cross-Lingual Information Retrieval of Scientific Documents","year":2025,"lang":"en","type":"preprint","venue":"Conicet","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Benchmark (surveying); Key (lock); Machine translation; Document retrieval; Query expansion","score_opus":0.0255777633171702,"score_gpt":0.3318747589393084,"score_spread":0.3062969956221382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415065478","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07148388,0.00873671,0.026281016,0.0020334914,0.0008325836,0.0017984887,0.80966634,0.042503923,0.03666356],"genre_scores_gemma":[0.03466117,0.00094146776,0.032064363,0.0003469483,0.000094461415,0.0005473351,0.92449045,0.0010082462,0.005845603],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9943915,0.0010845376,0.0006966705,0.0010949175,0.0020887482,0.0006435675],"domain_scores_gemma":[0.99327314,0.00112198,0.0005181515,0.0018142116,0.002713029,0.0005594743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034113778,0.0026311846,0.0014674636,0.016348055,0.0031106449,0.003914554,0.0031043934,0.0020339873,0.007515132],"category_scores_gemma":[0.0139771635,0.00046902613,0.001986419,0.015459327,0.0014109436,0.0041124066,0.005490493,0.0020706335,0.011474199],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007908683,0.00056109263,0.008609362,0.0051480182,0.0004559182,0.00064097246,0.001097419,0.0042556683,0.016157934,0.00652819,0.8390637,0.11669086],"study_design_scores_gemma":[0.00054550177,0.00037469057,0.024560332,0.00057499635,0.00026573098,0.0011978057,0.0019213652,0.029825512,0.022664206,0.005947862,0.9117995,0.00032263048],"about_ca_topic_score_codex":0.20092289,"about_ca_topic_score_gemma":0.30738252,"teacher_disagreement_score":0.20092289,"about_ca_system_score_codex":0.005168594,"about_ca_system_score_gemma":0.010227433,"threshold_uncertainty_score":0.3995068},"labels":[],"label_agreement":null},{"id":"W4415220943","doi":"10.1145/3787490","title":"wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation","year":2025,"lang":"en","type":"report","venue":"ACM Transactions on Reconfigurable Technology and Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canada Research Chairs; Alfred P. Sloan Foundation; Office of the President, University of California; U.S. Department of Energy","keywords":"Benchmark (surveying); Latency (audio); Limiting; Field-programmable gate array; Resource (disambiguation); Percentile; Surrogate model","score_opus":0.03832620855967011,"score_gpt":0.27706365234010605,"score_spread":0.23873744378043593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415220943","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69640315,0.0042991266,0.18135084,0.0025231359,0.0006382703,0.0006493131,0.05693329,0.03339081,0.023812061],"genre_scores_gemma":[0.74821836,0.0010501199,0.15520468,0.0005142652,0.00006463129,0.0005211292,0.08571189,0.0012321278,0.0074827536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925345,0.00018912322,0.000065421846,0.00017016845,0.00023254614,0.00008936685],"domain_scores_gemma":[0.9980715,0.0008964897,0.000148986,0.0003506707,0.00046712617,0.00006534957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014489051,0.0017189296,0.00051029585,0.0013166387,0.00041913913,0.0010743636,0.0023676767,0.0011407896,0.003797943],"category_scores_gemma":[0.0058839913,0.00053277164,0.00085046724,0.0016959404,0.0005122938,0.0014356395,0.0006517622,0.0012858539,0.0011079188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033690734,0.000278895,0.006751497,0.00043875212,0.00013834891,0.00014089273,0.00004771786,0.9159153,0.0029176285,0.002917612,0.026045231,0.04407135],"study_design_scores_gemma":[0.00005012362,0.00015314118,0.001388122,0.000026697946,0.000013107277,0.000050322775,0.000032490734,0.9864748,0.005110791,0.0017995938,0.0048868535,0.000014029612],"about_ca_topic_score_codex":0.024792261,"about_ca_topic_score_gemma":0.033539265,"teacher_disagreement_score":0.024792261,"about_ca_system_score_codex":0.001730256,"about_ca_system_score_gemma":0.002012628,"threshold_uncertainty_score":0.049295902},"labels":[],"label_agreement":null},{"id":"W4415250806","doi":"10.1109/hpec67600.2025.11196549","title":"RAILS: Retrieval-Augmented Intelligence for Learning Software Development","year":2025,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University of Edmonton","funders":"Concordia University","keywords":"Java; Compiler; Context (archaeology); Software development; Software; Static program analysis; Code (set theory); Software bug; Baseline (sea)","score_opus":0.02605559228019777,"score_gpt":0.2904935388364315,"score_spread":0.2644379465562337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415250806","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010659949,0.0003226885,0.8925922,0.00045832738,0.00005800535,0.00023065311,0.0012615608,0.091324836,0.0030918636],"genre_scores_gemma":[0.104675435,0.0003006739,0.8857013,0.00027675324,0.000027066046,0.00039846537,0.0040061744,0.0017829983,0.002831141],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982664,0.00066673337,0.00013618733,0.00042903112,0.00041855642,0.00008324512],"domain_scores_gemma":[0.99562955,0.0024309924,0.00028511812,0.0009298407,0.0005525704,0.00017190371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002485099,0.0016457222,0.0006236504,0.0018535232,0.00045823335,0.0015958133,0.0021494625,0.0011937836,0.008770847],"category_scores_gemma":[0.014289628,0.00057100895,0.0012345762,0.0009073655,0.0008430804,0.004500661,0.0042222007,0.0020205488,0.0044673765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041300475,0.00040775829,0.0040614866,0.0010756718,0.00010234821,0.00027687885,0.0016053559,0.032203455,0.012818901,0.019745052,0.03187556,0.89541453],"study_design_scores_gemma":[0.00015316845,0.0004542405,0.0019455438,0.00032041737,0.00009918351,0.00033481428,0.0007155461,0.7376137,0.029116701,0.1335904,0.095540494,0.000115845854],"about_ca_topic_score_codex":0.0026873322,"about_ca_topic_score_gemma":0.0065344526,"teacher_disagreement_score":0.008770847,"about_ca_system_score_codex":0.00087764097,"about_ca_system_score_gemma":0.00151403,"threshold_uncertainty_score":0.0293414},"labels":[],"label_agreement":null},{"id":"W4415265954","doi":"10.53941/sen.2025.100004","title":"Multimodal Intelligence in Chemical Discovery: Integrating Interpretable ML, Autonomous Robotics, and Edge Computing","year":2025,"lang":"en","type":"article","venue":"Sustainable Engineering Novit","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Sensor fusion; Toolbox; Edge computing; Enhanced Data Rates for GSM Evolution; Process (computing); Convolutional neural network; Generalization; Deep learning","score_opus":0.004369686444231054,"score_gpt":0.22635948333940262,"score_spread":0.22198979689517156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415265954","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013669936,0.022862693,0.93962413,0.0043533314,0.00026296446,0.000051141058,0.0002058068,0.0007041664,0.018265937],"genre_scores_gemma":[0.53643054,0.0308522,0.4267134,0.0015610369,0.0006283502,0.00018081079,0.00043246336,0.00025902988,0.0029421155],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992194,0.0003001816,0.000050235943,0.00014634371,0.00023632906,0.00004746954],"domain_scores_gemma":[0.99867094,0.0007572245,0.00010044772,0.00027090433,0.0001581807,0.000042298758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020861002,0.00073168677,0.0008596166,0.0015952064,0.00042788914,0.0029488294,0.0012545944,0.001110663,0.0023696101],"category_scores_gemma":[0.003281779,0.00040836417,0.00090879534,0.0012163457,0.0032927573,0.0063424576,0.0027236922,0.0023034173,0.00043510768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079456375,0.00005209276,0.0010467168,0.0014677754,0.00013820444,0.0001819059,0.00045920242,0.040713735,0.01235096,0.71243,0.0033921779,0.22768787],"study_design_scores_gemma":[0.00001320713,0.000049522703,0.00043192843,0.00025474204,0.000049850223,0.00013840644,0.00018266236,0.12783888,0.0062980694,0.83372843,0.030967798,0.000046465342],"about_ca_topic_score_codex":0.00057200546,"about_ca_topic_score_gemma":0.0007094121,"teacher_disagreement_score":0.0029488294,"about_ca_system_score_codex":0.00095798547,"about_ca_system_score_gemma":0.00080580445,"threshold_uncertainty_score":0.011032522},"labels":[],"label_agreement":null},{"id":"W4415335595","doi":"10.1007/978-3-032-07995-4_21","title":"From User Intent to Product: Enhancing Auto-Completion with Knowledge Graphs in Industrial Computing Domain","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advantech AMT (Canada)","funders":"","keywords":"Bridging (networking); Terminology; Domain (mathematical analysis); Product (mathematics); Domain knowledge; Query language; Training set; Vocabulary","score_opus":0.021518199230515046,"score_gpt":0.23689551356364613,"score_spread":0.2153773143331311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415335595","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07252523,0.0005321023,0.91465706,0.00030095165,0.000054944532,0.00009409126,0.0010626722,0.006896204,0.003876757],"genre_scores_gemma":[0.48238733,0.00047685095,0.5055398,0.00016847836,0.00004018953,0.00007152897,0.00493107,0.00086138793,0.0055234153],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922585,0.00020373298,0.00003949985,0.0002498859,0.00023674924,0.000044230226],"domain_scores_gemma":[0.9969637,0.0017928057,0.00016411944,0.00054833887,0.00045150032,0.00007949759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094021886,0.000749239,0.00053011073,0.0013977188,0.00029146924,0.0007606221,0.0009653364,0.0006188691,0.002178923],"category_scores_gemma":[0.004292922,0.00034028414,0.00084172474,0.001098963,0.0004236099,0.0028926355,0.0013909752,0.0010703992,0.0009850074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000491092,0.0006889651,0.0044332757,0.00045983138,0.00014045152,0.00034965717,0.00065930624,0.15705948,0.015354026,0.015418134,0.012754015,0.79219174],"study_design_scores_gemma":[0.000015959034,0.00007094248,0.0013842153,0.000034294873,0.000053612126,0.00009180271,0.00012512274,0.9543206,0.0095675355,0.029459042,0.0048529604,0.00002379845],"about_ca_topic_score_codex":0.009389591,"about_ca_topic_score_gemma":0.012835653,"teacher_disagreement_score":0.009389591,"about_ca_system_score_codex":0.00041174467,"about_ca_system_score_gemma":0.0007804143,"threshold_uncertainty_score":0.018669844},"labels":[],"label_agreement":null},{"id":"W4415337808","doi":"10.1007/978-3-032-06007-5_6","title":"Bilingual Knowledge Management System for Information Retrieval from Military Policies","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Department of National Defence","funders":"","keywords":"Pipeline (software); Metadata; Process (computing); Generative grammar; Work (physics); Cross-language information retrieval; Information system","score_opus":0.015224760679873793,"score_gpt":0.25673882760088373,"score_spread":0.24151406692100993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415337808","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054394394,0.0010515375,0.8227299,0.00068777933,0.00017393053,0.00055995205,0.009302483,0.081258886,0.029841222],"genre_scores_gemma":[0.2532654,0.0007320752,0.681712,0.0005254029,0.000103749975,0.0005889833,0.041820224,0.0024451732,0.018807076],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948406,0.000102334205,0.000092777525,0.00013914997,0.00013699628,0.000044570064],"domain_scores_gemma":[0.9990557,0.00031360096,0.000064061,0.0002371319,0.00025189895,0.000077592515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010442163,0.00045702283,0.00095856667,0.0036023653,0.0010425354,0.0017315082,0.0010201602,0.0008313285,0.0172394],"category_scores_gemma":[0.0027535576,0.00034030556,0.00053317065,0.002800955,0.00027921385,0.0037891727,0.0017908837,0.00074710394,0.0078005767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011208976,0.0008380149,0.0031380157,0.0006334694,0.00011474231,0.00064424693,0.00075190165,0.0038509038,0.04073939,0.028326524,0.08103723,0.8388046],"study_design_scores_gemma":[0.00052736455,0.00045031158,0.0067480006,0.0003048975,0.00065162545,0.0020921004,0.0012977293,0.4305984,0.124978624,0.06732946,0.364796,0.00022544488],"about_ca_topic_score_codex":0.004724926,"about_ca_topic_score_gemma":0.004676637,"teacher_disagreement_score":0.0172394,"about_ca_system_score_codex":0.0009832821,"about_ca_system_score_gemma":0.002546477,"threshold_uncertainty_score":0.057671487},"labels":[],"label_agreement":null},{"id":"W4415388318","doi":"10.1007/978-3-032-04653-6_6","title":"Transdisciplinary Methodology Extracted from Fundamental Texts","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Francophone University Association","funders":"","keywords":"Transdisciplinarity; Reflexivity; Normative; Context (archaeology); Charter; Argument (complex analysis); Field (mathematics)","score_opus":0.07998486960691191,"score_gpt":0.310047820832349,"score_spread":0.23006295122543707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415388318","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029233206,0.0043883706,0.72123224,0.0024485611,0.0010745492,0.000738053,0.014428409,0.0028288683,0.22362769],"genre_scores_gemma":[0.16881308,0.0059486385,0.6852623,0.00049134926,0.00074452994,0.0010713948,0.043962378,0.0021618316,0.09154446],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982862,0.00046463675,0.0002646864,0.00032304914,0.00058563787,0.00007580182],"domain_scores_gemma":[0.9960247,0.0021272863,0.00020847059,0.0005794347,0.0009326499,0.00012740151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017782723,0.000807357,0.0005120385,0.013276842,0.0016426109,0.004633818,0.0010212945,0.0010868266,0.021767857],"category_scores_gemma":[0.007829505,0.00041802053,0.00083075726,0.012154599,0.0012958192,0.005347807,0.00246861,0.0015681351,0.012413803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011089461,0.000100888,0.002136235,0.0022758923,0.00007177669,0.0007174532,0.008851881,0.001009743,0.012561846,0.3497844,0.045699075,0.5766799],"study_design_scores_gemma":[0.000017687153,0.00003372468,0.00255311,0.0007751767,0.00006705424,0.000805642,0.0031600902,0.004919721,0.008132363,0.12007723,0.85942775,0.000030434576],"about_ca_topic_score_codex":0.001121318,"about_ca_topic_score_gemma":0.002909398,"teacher_disagreement_score":0.021767857,"about_ca_system_score_codex":0.0014051568,"about_ca_system_score_gemma":0.0031001978,"threshold_uncertainty_score":0.07282072},"labels":[],"label_agreement":null},{"id":"W4415402372","doi":"10.3390/data10100167","title":"Beyond the List: A Framework for the Design of Next-Generation MEDLINE Search Tools","year":2025,"lang":"en","type":"article","venue":"Data","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exploratory search; Core (optical fiber); Analytics; Exploratory analysis; Visual analytics; Key (lock)","score_opus":0.3416572491239892,"score_gpt":0.3815665633292202,"score_spread":0.03990931420523097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415402372","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020802342,0.00022151532,0.98845834,0.0015225911,0.000056239063,0.00044735183,0.00017307528,0.0023387054,0.004701947],"genre_scores_gemma":[0.025926193,0.00022917596,0.969373,0.00032398113,0.000017797716,0.0006720713,0.0003235026,0.00038475197,0.0027495753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9922201,0.004076801,0.000955293,0.0008170669,0.0014327345,0.0004979961],"domain_scores_gemma":[0.9913447,0.0040723598,0.00058019,0.0012857128,0.0019959577,0.0007211989],"candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.015475013,0.0012683608,0.00077880296,0.00409975,0.0025898656,0.012646003,0.004081992,0.0038849064,0.007884558],"category_scores_gemma":[0.021094691,0.0015752284,0.002386703,0.002026359,0.0046687596,0.012185026,0.006385355,0.002797022,0.0029585906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024034614,0.00022793093,0.0013497372,0.0009964323,0.000107696615,0.0007457975,0.0098870965,0.01835249,0.007367569,0.8305224,0.012521792,0.11768072],"study_design_scores_gemma":[0.0001998927,0.00021244079,0.00035743165,0.0010796869,0.00018983107,0.0007727209,0.0028616153,0.13455787,0.008976188,0.5079274,0.3426815,0.0001833974],"about_ca_topic_score_codex":0.0060110698,"about_ca_topic_score_gemma":0.008676638,"teacher_disagreement_score":0.987354,"about_ca_system_score_codex":0.002791686,"about_ca_system_score_gemma":0.0063972194,"threshold_uncertainty_score":0.081840694},"labels":[],"label_agreement":null},{"id":"W4415593708","doi":"10.1109/mwc.2025.3600848","title":"Retrieval-Augmented Generation for GenAI-Enabled Semantic Communications","year":2025,"lang":"","type":"article","venue":"IEEE Wireless Communications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Leverage (statistics); Domain (mathematical analysis); Generative grammar; Semantic technology; Adaptability; Face (sociological concept); Information and Communications Technology","score_opus":0.08406372839126881,"score_gpt":0.33887009101270044,"score_spread":0.25480636262143164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415593708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014525907,0.00062816817,0.96740025,0.0004973199,0.00014310464,0.00016162693,0.00018003775,0.005126649,0.011336937],"genre_scores_gemma":[0.47292173,0.00085312803,0.5130988,0.0006113713,0.00012228731,0.00022422207,0.0009497778,0.0009821069,0.0102365725],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988186,0.00042318998,0.00008499835,0.00023872594,0.00033362443,0.00010079049],"domain_scores_gemma":[0.99750984,0.0010748783,0.0001383606,0.0008208073,0.00037097765,0.00008501304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020908166,0.00074223446,0.0006036001,0.0011682465,0.0009111319,0.0018070337,0.0016626765,0.0014212576,0.0055028717],"category_scores_gemma":[0.0054850774,0.00031993174,0.0007900572,0.0013298203,0.001323541,0.0035796033,0.0032767898,0.0015248836,0.0019282529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004260504,0.0003677817,0.0021769004,0.0007211358,0.00017318883,0.0012489436,0.0029773887,0.07282881,0.049900733,0.21307492,0.01883934,0.6372648],"study_design_scores_gemma":[0.00009876799,0.00022369213,0.0007877212,0.00011955042,0.00014295286,0.0011187621,0.00070211367,0.68069994,0.050676864,0.15816636,0.107142106,0.0001212004],"about_ca_topic_score_codex":0.0022298978,"about_ca_topic_score_gemma":0.0029402045,"teacher_disagreement_score":0.0055028717,"about_ca_system_score_codex":0.00076407095,"about_ca_system_score_gemma":0.0010966037,"threshold_uncertainty_score":0.018408954},"labels":[],"label_agreement":null},{"id":"W4415637994","doi":"10.1007/978-3-032-09530-5_18","title":"COTTAS: Columnar Triple Table Storage for Efficient and Compressed RDF Management","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"RDF; SPARQL; SQL; Table (database); Python (programming language); RDF/XML; RDF Schema; Data structure","score_opus":0.013655828376266237,"score_gpt":0.24013582095584002,"score_spread":0.22647999257957377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415637994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016855447,0.0023350262,0.7078369,0.001661838,0.002080963,0.0005531581,0.058552686,0.17570305,0.034420945],"genre_scores_gemma":[0.2109022,0.002757838,0.5498857,0.0020711685,0.00066706847,0.001119402,0.13008815,0.032902587,0.069605924],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987275,0.00014258978,0.0001600528,0.00020471399,0.0006210907,0.00014409954],"domain_scores_gemma":[0.9962907,0.00070765143,0.00016196394,0.0018725995,0.00077701476,0.00019009614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013041805,0.0011787916,0.0010301351,0.0025563184,0.0012113872,0.0049901763,0.003331841,0.0010923934,0.046967853],"category_scores_gemma":[0.006246629,0.0010647912,0.0010274652,0.006139733,0.0009916311,0.0069293296,0.0037615234,0.0018951533,0.015935797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001386135,0.00017325704,0.0010704888,0.000818632,0.00014468357,0.0003686694,0.0005449189,0.0061180843,0.021794772,0.09213163,0.49261662,0.38283205],"study_design_scores_gemma":[0.0004867337,0.00017473685,0.0010452365,0.00052516506,0.00019614163,0.00065458246,0.00081787974,0.13730982,0.10306353,0.19111164,0.5642849,0.0003295059],"about_ca_topic_score_codex":0.01027503,"about_ca_topic_score_gemma":0.015613492,"teacher_disagreement_score":0.046967853,"about_ca_system_score_codex":0.0018039596,"about_ca_system_score_gemma":0.003175231,"threshold_uncertainty_score":0.15712315},"labels":[],"label_agreement":null},{"id":"W4416903361","doi":"10.3390/informatics12040133","title":"Fuzzy Ontology Embeddings and Visual Query Building for Ontology Exploration","year":2025,"lang":"en","type":"article","venue":"Informatics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ontology; SPARQL; Fuzzy logic; Interface (matter); Semantics (computer science); Construct (python library); Query language; Flexibility (engineering); Ontology-based data integration","score_opus":0.017751331162725984,"score_gpt":0.3147579712902761,"score_spread":0.2970066401275501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416903361","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008308194,0.00013379696,0.98088044,0.0002629306,0.000030856998,0.000106054795,0.00026192702,0.0062760115,0.0037398194],"genre_scores_gemma":[0.1566432,0.00031290148,0.8375872,0.00023171864,0.000026353631,0.0002427573,0.001056506,0.00089460786,0.0030048112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985753,0.0004371416,0.00013228945,0.00023727797,0.0005148452,0.000103157894],"domain_scores_gemma":[0.9975044,0.0013417869,0.00013394089,0.00047213404,0.00040934584,0.00013848182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018424629,0.0008102738,0.00048059883,0.0015747412,0.0006646202,0.003146087,0.0014341903,0.0010429,0.0070347283],"category_scores_gemma":[0.007876685,0.00063428504,0.0011297179,0.00097084604,0.0016117578,0.006844151,0.0040234565,0.0012175924,0.001432315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007867979,0.00034911148,0.0017089857,0.0009527321,0.00010625196,0.0008620666,0.005393152,0.0327553,0.06430158,0.47531608,0.02505615,0.39241177],"study_design_scores_gemma":[0.00010484723,0.0001457599,0.00070691854,0.00021705302,0.00005686182,0.0008862661,0.0010201493,0.5084264,0.06004062,0.3221491,0.106107846,0.00013818404],"about_ca_topic_score_codex":0.0025394897,"about_ca_topic_score_gemma":0.0030995377,"teacher_disagreement_score":0.0070347283,"about_ca_system_score_codex":0.0007695367,"about_ca_system_score_gemma":0.00086723577,"threshold_uncertainty_score":0.023533463},"labels":[],"label_agreement":null},{"id":"W4416926764","doi":"10.1177/15705838251391253","title":"Rethinking Meaning and Ontologies From the Perspective of Ontological Units","year":2025,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ontology; Meaning (existential); Indeterminacy (philosophy); CLARITY; Term (time); Natural language; Axiom; Ambiguity","score_opus":0.0355836765289795,"score_gpt":0.26684494016991034,"score_spread":0.23126126364093083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416926764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01338131,0.0027738577,0.9477665,0.012167484,0.00070261175,0.00008603346,0.000091312315,0.00017916315,0.02285182],"genre_scores_gemma":[0.42686543,0.0041324613,0.5583297,0.0023560126,0.0007875102,0.00041214685,0.0003061768,0.0002963482,0.00651427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99041593,0.005382682,0.0008247017,0.0011081002,0.0018600897,0.00040849956],"domain_scores_gemma":[0.9888361,0.0054317354,0.0009588181,0.0032494187,0.0011180211,0.00040587434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012328056,0.0009198727,0.0009956212,0.004729808,0.00364123,0.010992146,0.0030954725,0.0032693616,0.0014345509],"category_scores_gemma":[0.016804632,0.00077527686,0.0016037478,0.00393028,0.030304711,0.0370398,0.0088156285,0.008200753,0.0004603048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053880594,0.0000050061085,0.000099247365,0.000041929423,0.00000803304,0.000047685397,0.0024174335,0.0004879216,0.0003210954,0.99016434,0.0002602133,0.00614167],"study_design_scores_gemma":[0.0000055153437,0.000013700427,0.00014891151,0.00013257039,0.000021789263,0.00010295321,0.0013974883,0.002965686,0.0005842247,0.96108407,0.033522382,0.00002054247],"about_ca_topic_score_codex":0.0043122754,"about_ca_topic_score_gemma":0.004494841,"teacher_disagreement_score":0.012328056,"about_ca_system_score_codex":0.003926617,"about_ca_system_score_gemma":0.004421862,"threshold_uncertainty_score":0.065197766},"labels":[],"label_agreement":null},{"id":"W44591205","doi":"10.17705/1cais.01513","title":"Information Systems and Health Care-III: Diffusing Healthcare Knowledge: A Case Study of the Care Delivery Network","year":2005,"lang":"en","type":"article","venue":"Communications of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Health care; Healthcare delivery; Protocol (science); Knowledge management; Health care delivery; Business; Nursing; Public relations; Medicine; Computer science; Political science; Alternative medicine","score_opus":0.043269411732549834,"score_gpt":0.3173223864027119,"score_spread":0.27405297467016204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W44591205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9334118,0.0012540779,0.0049710744,0.014105659,0.000065390224,0.0004948488,0.00019885623,0.00003247332,0.045465786],"genre_scores_gemma":[0.9861211,0.001844901,0.0051262085,0.00085358054,0.000028251112,0.00026840207,0.000118192846,0.00003142737,0.0056079207],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9874628,0.009836364,0.00026737317,0.0003483267,0.000926224,0.0011590272],"domain_scores_gemma":[0.98481685,0.011666999,0.0008416834,0.00063374924,0.0007050633,0.0013356177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010426551,0.00039599097,0.00048734585,0.0021144233,0.012584043,0.008024598,0.001756528,0.0038408702,0.0027078371],"category_scores_gemma":[0.016750837,0.0004330707,0.00053600065,0.004325483,0.008835651,0.0062411646,0.0052997754,0.0033710073,0.00033377766],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011468168,0.00062022643,0.020341963,0.00029478196,0.00002626526,0.009089029,0.90476185,0.0006973151,0.00042998273,0.032643013,0.004426717,0.026554223],"study_design_scores_gemma":[0.000060074373,0.00020812839,0.006509598,0.00031918942,0.000028978706,0.002418843,0.931936,0.0011248456,0.0005775958,0.004369045,0.052413438,0.000034189514],"about_ca_topic_score_codex":0.12014956,"about_ca_topic_score_gemma":0.19038302,"teacher_disagreement_score":0.12014956,"about_ca_system_score_codex":0.014469745,"about_ca_system_score_gemma":0.013199151,"threshold_uncertainty_score":0.23890042},"labels":[],"label_agreement":null},{"id":"W45704195","doi":"10.1007/978-3-642-16083-7_7","title":"An Ontology Modeling Tool","year":2010,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Ontology; Computer science; Artificial intelligence; Philosophy; Epistemology","score_opus":0.1514819025293835,"score_gpt":0.3885742011291972,"score_spread":0.2370922985998137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W45704195","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011238238,0.00025928495,0.9461228,0.00056271255,0.00020879362,0.00017540215,0.002883665,0.020410258,0.02825328],"genre_scores_gemma":[0.022260552,0.0010262205,0.91506267,0.00048503224,0.000072668634,0.0003954648,0.014477205,0.005442588,0.040777642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886763,0.0001789685,0.00019096627,0.00021170883,0.00048270254,0.00006801337],"domain_scores_gemma":[0.9988986,0.00042137937,0.000059491234,0.0003461577,0.0002208743,0.000053350745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017737302,0.0013086088,0.00088040327,0.003635622,0.0015804599,0.005252517,0.0022257005,0.0012671647,0.023759115],"category_scores_gemma":[0.004070269,0.0012484138,0.0022413235,0.003759935,0.00078309025,0.009680752,0.003231317,0.003472096,0.012859128],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060707367,0.00014157216,0.0005140141,0.000524909,0.00008133171,0.000420565,0.00085757824,0.00479988,0.005116297,0.5238376,0.12072371,0.34292185],"study_design_scores_gemma":[0.000019140496,0.00001251911,0.00015137835,0.00023051776,0.00006717015,0.00046565113,0.00017478396,0.035351954,0.0058037248,0.1684735,0.7892088,0.000040795847],"about_ca_topic_score_codex":0.0039245826,"about_ca_topic_score_gemma":0.0074618333,"teacher_disagreement_score":0.023759115,"about_ca_system_score_codex":0.0012246817,"about_ca_system_score_gemma":0.0023047447,"threshold_uncertainty_score":0.0794822},"labels":[],"label_agreement":null},{"id":"W47492243","doi":"10.65109/waot4861","title":"Using relational concept knowledge to improve search in referral networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Oracle; Computer science; Relation (database); Domain knowledge; Referral; Knowledge management; Domain (mathematical analysis); Relational database; Work (physics); Data science; Data mining; Software engineering; Engineering; Mathematics","score_opus":0.09652131591238508,"score_gpt":0.3482889155304112,"score_spread":0.2517675996180261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W47492243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09585689,0.0022466758,0.88671196,0.0016426079,0.000110966204,0.00035434257,0.00027090535,0.0032374756,0.009568194],"genre_scores_gemma":[0.5350521,0.0010848969,0.45940247,0.0003323993,0.0001072172,0.00020394682,0.00067615946,0.00020990588,0.0029308565],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99466383,0.0025999197,0.0004011707,0.00077670836,0.0012684797,0.00028990055],"domain_scores_gemma":[0.98037696,0.01297648,0.0013318706,0.0029029092,0.0018999383,0.000511905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007685305,0.001047402,0.0020597735,0.004623025,0.001746343,0.003320586,0.0026570496,0.00255997,0.003256476],"category_scores_gemma":[0.048545975,0.00067676295,0.0011166709,0.005059523,0.0014824478,0.011934394,0.0045603607,0.0017024996,0.001031738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008064809,0.00083510386,0.0076929303,0.00063163077,0.00026841054,0.00047605118,0.002616458,0.32810855,0.0050339703,0.1588217,0.010544542,0.4841642],"study_design_scores_gemma":[0.000109432396,0.00017652307,0.0007499687,0.00007900527,0.00019185443,0.000271236,0.00039075088,0.868364,0.0038710558,0.11712192,0.008617961,0.00005634032],"about_ca_topic_score_codex":0.008793607,"about_ca_topic_score_gemma":0.008055778,"teacher_disagreement_score":0.008793607,"about_ca_system_score_codex":0.0020524033,"about_ca_system_score_gemma":0.0021753334,"threshold_uncertainty_score":0.04064423},"labels":[],"label_agreement":null},{"id":"W51840963","doi":"","title":"Bridging MDA and OWL ontologies","year":2005,"lang":"en","type":"article","venue":"Journal of Web Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; OWL-S; Ontology; Process ontology; Web Ontology Language; Ontology language; Ontology-based data integration; Upper ontology; Suggested Upper Merged Ontology; Ontology Inference Layer; Open Biomedical Ontologies; Metamodeling; Unified Modeling Language; Programming language; Software engineering; Information retrieval; Semantic Web; Semantic Web Stack; Software","score_opus":0.007833588392492413,"score_gpt":0.2053105673520876,"score_spread":0.1974769789595952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W51840963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0124771055,0.0006717677,0.96861815,0.0027060106,0.00015353975,0.0001222947,0.00009933352,0.0010842406,0.014067594],"genre_scores_gemma":[0.21184434,0.0016282289,0.7754916,0.0012797862,0.00010505464,0.00040338133,0.000794513,0.00042107448,0.008031995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9923999,0.004105315,0.00069865404,0.0004823058,0.0017972247,0.00051658455],"domain_scores_gemma":[0.9936045,0.0028157008,0.00043505742,0.001857814,0.001001796,0.00028511023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007413056,0.00052335527,0.00044648472,0.0016302041,0.0011366968,0.005393037,0.001718316,0.0015246323,0.00194379],"category_scores_gemma":[0.011956219,0.000773852,0.00090630184,0.001436213,0.0016976263,0.0080977315,0.0056082252,0.003034335,0.0007834593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007252339,0.00023544283,0.0017624522,0.00030143076,0.00008468662,0.000508443,0.0038013477,0.008989852,0.006491554,0.7750189,0.00691468,0.19581884],"study_design_scores_gemma":[0.00004733685,0.00009530697,0.0015113945,0.000625383,0.000072695984,0.0007303917,0.0022292847,0.13194555,0.010572788,0.5726952,0.2793962,0.00007855431],"about_ca_topic_score_codex":0.0026847443,"about_ca_topic_score_gemma":0.0026521299,"teacher_disagreement_score":0.007413056,"about_ca_system_score_codex":0.0015626663,"about_ca_system_score_gemma":0.003446145,"threshold_uncertainty_score":0.03920448},"labels":[],"label_agreement":null},{"id":"W52705816","doi":"","title":"Strategic and Tactic Reasoning for Communicating Agents","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Argument (complex analysis); Computer science; Strategic thinking; Order (exchange); Relation (database); Strategic communication; Reasoning system; Knowledge management; Strategic planning; Management science; Artificial intelligence; Business; Engineering; Management; Economics","score_opus":0.05620587572397597,"score_gpt":0.29370323924194797,"score_spread":0.237497363517972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W52705816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022282774,0.0008309126,0.9110217,0.0046913153,0.00020324004,0.00015089552,0.00008540277,0.00024347904,0.060490225],"genre_scores_gemma":[0.6683171,0.000585081,0.31980017,0.0007426608,0.00019664557,0.0004036,0.00028984816,0.0000787928,0.009586058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9878571,0.00736237,0.00096002984,0.00085841556,0.002333539,0.000628592],"domain_scores_gemma":[0.98442996,0.010533452,0.0013000974,0.0015327339,0.0016060984,0.000597683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010756097,0.00088547537,0.0008423148,0.0023945577,0.002884376,0.007438431,0.0021998473,0.0038418374,0.00556498],"category_scores_gemma":[0.019560691,0.00068651285,0.0019599248,0.001549472,0.009916797,0.011867421,0.0049709855,0.003975769,0.0008019426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070409706,0.0000122469355,0.00007526708,0.000027660053,0.000011424623,0.00008721091,0.0004813675,0.0022522297,0.00012721708,0.9941381,0.0002803826,0.0024999003],"study_design_scores_gemma":[0.000017189643,0.000010345973,0.00005631753,0.000033547305,0.000017176104,0.00007481459,0.00029529334,0.02561614,0.00029426723,0.9670647,0.0065086237,0.000011632069],"about_ca_topic_score_codex":0.004618525,"about_ca_topic_score_gemma":0.0037852526,"teacher_disagreement_score":0.010756097,"about_ca_system_score_codex":0.0037296645,"about_ca_system_score_gemma":0.0030122905,"threshold_uncertainty_score":0.05688435},"labels":[],"label_agreement":null},{"id":"W53294030","doi":"","title":"Digital library reference model - in a nutshell","year":2011,"lang":"en","type":"article","venue":"Northumbria Research Link (Northumbria University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital library; Computer science; World Wide Web; Field (mathematics); Excellence; Data science; Conceptual model; Information system; Knowledge management; Engineering; Political science; Database","score_opus":0.14080836759172696,"score_gpt":0.26933199268778985,"score_spread":0.12852362509606288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W53294030","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005024303,0.0007265436,0.93016225,0.004290235,0.00035672245,0.0005222525,0.0052851555,0.007896314,0.045736134],"genre_scores_gemma":[0.09513045,0.0018496339,0.837002,0.0022525042,0.00025486745,0.000611926,0.0168421,0.0019386464,0.04411785],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99512684,0.0010179577,0.00083115784,0.0010253909,0.0017751905,0.00022354205],"domain_scores_gemma":[0.99284595,0.0007941785,0.00041018112,0.0036335322,0.001955781,0.00036038583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048618154,0.0008230598,0.0012545639,0.007447794,0.0014329719,0.011476352,0.0052338815,0.0037377118,0.0099303685],"category_scores_gemma":[0.011024342,0.0009064236,0.002005637,0.008912238,0.002072263,0.021436641,0.006007461,0.0024822059,0.014949115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111994785,0.00016557772,0.0024089946,0.00050871243,0.00014219481,0.00027563187,0.0009173978,0.014999474,0.0023882163,0.78510976,0.040201254,0.1527708],"study_design_scores_gemma":[0.00004309913,0.00008587602,0.0009176616,0.00055053894,0.00020120281,0.0008486873,0.000660653,0.053566933,0.003888543,0.36994395,0.5691817,0.00011110024],"about_ca_topic_score_codex":0.009125573,"about_ca_topic_score_gemma":0.015372528,"teacher_disagreement_score":0.011476352,"about_ca_system_score_codex":0.002574578,"about_ca_system_score_gemma":0.004370492,"threshold_uncertainty_score":0.03322041},"labels":[],"label_agreement":null},{"id":"W54721856","doi":"","title":"Information Integration and the Semantic Web.","year":2003,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Interoperability; XML; Semantic interoperability; Data integration; Enterprise information integration; Information integration; World Wide Web; Schema (genetic algorithms); XML Schema Editor; Information retrieval; Database","score_opus":0.009496897285450756,"score_gpt":0.21412733391264024,"score_spread":0.2046304366271895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W54721856","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004804286,0.36480823,0.13096455,0.072590895,0.0058795516,0.0001881364,0.0009733329,0.0008791859,0.4189117],"genre_scores_gemma":[0.24026778,0.40174448,0.14435601,0.020286368,0.015397213,0.0006584788,0.004695202,0.0006034882,0.17199098],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962845,0.0010090516,0.00027835736,0.00054823625,0.001677527,0.00020219877],"domain_scores_gemma":[0.99696004,0.0015876249,0.00033374186,0.0003491446,0.0006081147,0.0001614018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003241568,0.0013668883,0.0011166326,0.0058157207,0.002025235,0.010191238,0.001717652,0.0058382945,0.017166803],"category_scores_gemma":[0.0047850357,0.0007289373,0.0008736977,0.013721584,0.00852504,0.017871164,0.0060863914,0.004720873,0.0045039756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010413758,0.000019352572,0.00014243743,0.00033506224,0.000014403323,0.0001295974,0.0003805652,0.0005235493,0.00010699167,0.9186067,0.01976638,0.059964515],"study_design_scores_gemma":[0.0000037214527,0.0000070943693,0.00015634086,0.00039776516,0.000008634897,0.00029407575,0.0002993139,0.00093857356,0.00008606119,0.7237901,0.27400607,0.000012345337],"about_ca_topic_score_codex":0.0046445127,"about_ca_topic_score_gemma":0.0027444423,"teacher_disagreement_score":0.017166803,"about_ca_system_score_codex":0.0043857563,"about_ca_system_score_gemma":0.0027064325,"threshold_uncertainty_score":0.057428658},"labels":[],"label_agreement":null},{"id":"W563101922","doi":"","title":"3rd ACM International Workshop on Human-Centered Computing 2008 (HCC 2008) : held at ACM Multimedia 2008 : Vancouver, BC, Canada, 31 October 2008","year":2008,"lang":"en","type":"book","venue":"Association for Computing Machinery eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multimedia; Computer science; Library science","score_opus":0.03830237500203696,"score_gpt":0.2825693358127144,"score_spread":0.24426696081067742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W563101922","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02491811,0.05595767,0.6246589,0.02274998,0.032079086,0.0010003824,0.0029575517,0.013700332,0.22197798],"genre_scores_gemma":[0.08001515,0.0332854,0.20721076,0.0046162046,0.0028145858,0.00066908594,0.009337265,0.0024230897,0.65962845],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999238,0.00020380445,0.00003184382,0.0001372666,0.00026482227,0.00012433877],"domain_scores_gemma":[0.99883,0.0002244039,0.000019438095,0.00018073867,0.00046813968,0.00027727315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019832775,0.00082585023,0.0010725718,0.00070702215,0.0013857953,0.0035552126,0.0012083281,0.0015459859,0.037360933],"category_scores_gemma":[0.001946895,0.00041503203,0.0005568837,0.0010914896,0.0007843127,0.0027505911,0.002355837,0.0021947382,0.013117505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015873363,0.00017808258,0.00050635106,0.00029458205,0.000025446208,0.00009185283,0.0011151187,0.0005290531,0.0042119897,0.010269645,0.5653819,0.41723722],"study_design_scores_gemma":[0.000030773044,0.00012295607,0.003056299,0.00027368715,0.000053950454,0.00027235455,0.00083239574,0.005514983,0.0040757903,0.01392442,0.97179216,0.000050288745],"about_ca_topic_score_codex":0.014071822,"about_ca_topic_score_gemma":0.046714235,"teacher_disagreement_score":0.9859282,"about_ca_system_score_codex":0.0011435547,"about_ca_system_score_gemma":0.0029483922,"threshold_uncertainty_score":0.1249848},"labels":[],"label_agreement":null},{"id":"W567586408","doi":"10.1007/978-3-319-17957-5_4","title":"Coping with Uncertainty in Schema Matching: Bayesian Networks and Agent-Based Modeling Approach","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Schema matching; Schema (genetic algorithms); Computer science; Probabilistic logic; Matching (statistics); Bayesian network; Data integration; Artificial intelligence; Bayesian probability; Data mining; Machine learning; Mathematics","score_opus":0.027621850688748797,"score_gpt":0.2389224847966524,"score_spread":0.21130063410790362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W567586408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006676094,0.0006691586,0.98934305,0.00057134434,0.000028678833,0.000038215567,0.00009412579,0.00015397159,0.0024253828],"genre_scores_gemma":[0.38865522,0.00257023,0.6042241,0.00025815156,0.00018224645,0.00022506001,0.0005545662,0.00015307692,0.0031773464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964361,0.0017606323,0.0002436255,0.00054424285,0.0008569184,0.00015843839],"domain_scores_gemma":[0.9889346,0.008851163,0.00069919333,0.0007025397,0.0006119134,0.000200489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064161997,0.00081520784,0.0017515603,0.002721992,0.00093722355,0.004415948,0.004243646,0.0027011288,0.002803708],"category_scores_gemma":[0.026532311,0.0016482775,0.0018104136,0.00455076,0.0015153049,0.010773295,0.002973032,0.002768512,0.00045619824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011421155,0.00015812488,0.0017977059,0.00016884491,0.00028812408,0.00019808653,0.0004234447,0.67143315,0.0005982976,0.2234187,0.0021407532,0.0992606],"study_design_scores_gemma":[0.000006522367,0.000007526245,0.00012593534,0.000017374825,0.000038222486,0.00003679535,0.000027057802,0.8663967,0.00020604515,0.13231777,0.00080602965,0.000014044635],"about_ca_topic_score_codex":0.011153339,"about_ca_topic_score_gemma":0.008691485,"teacher_disagreement_score":0.011153339,"about_ca_system_score_codex":0.001973438,"about_ca_system_score_gemma":0.0017634464,"threshold_uncertainty_score":0.033932507},"labels":[],"label_agreement":null},{"id":"W570497211","doi":"","title":"A multi-matching technique for combining similarity measures in ontology integration","year":2009,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology alignment; Computer science; Ontology; Matching (statistics); Benchmark (surveying); Heuristics; Data mining; Ontology-based data integration; Information retrieval; Data integration; Interoperability; Similarity measure; Semantic integration; Similarity (geometry); Measure (data warehouse); Semantic similarity; Semantic heterogeneity; Semantic Web; Artificial intelligence; Mathematics; World Wide Web","score_opus":0.05408164124261078,"score_gpt":0.32291211625087857,"score_spread":0.2688304750082678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W570497211","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004067931,0.00022618439,0.9941837,0.0000586523,0.000027917567,0.00013201576,0.00004998892,0.000324316,0.00092925975],"genre_scores_gemma":[0.059341323,0.00020591718,0.93929183,0.000053134143,0.000021691838,0.00017066103,0.00017498678,0.000073167874,0.0006672407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9903779,0.0025717039,0.0009654775,0.0016116195,0.004134545,0.00033874615],"domain_scores_gemma":[0.99475175,0.0019676737,0.0005986957,0.0011351197,0.0014168937,0.0001298761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055493168,0.0010479171,0.0019050301,0.00919448,0.0014214308,0.0026616214,0.002756592,0.0017645386,0.002878563],"category_scores_gemma":[0.016491199,0.00062412844,0.0023685563,0.012575011,0.0011446854,0.005972172,0.0028637866,0.0017409405,0.0012690919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015936527,0.00029430003,0.0027907728,0.00043419894,0.00037618345,0.00013835823,0.00046695545,0.035794176,0.015912708,0.069555946,0.003408517,0.8706686],"study_design_scores_gemma":[0.000077595396,0.0005170203,0.0042247837,0.00017771794,0.0003187743,0.0010721096,0.00041992404,0.81205684,0.03567344,0.12050748,0.024776531,0.00017788174],"about_ca_topic_score_codex":0.0025596872,"about_ca_topic_score_gemma":0.0030551578,"teacher_disagreement_score":0.00919448,"about_ca_system_score_codex":0.001565803,"about_ca_system_score_gemma":0.0018116445,"threshold_uncertainty_score":0.029347897},"labels":[],"label_agreement":null},{"id":"W576265569","doi":"","title":"2001, Thierry Delva : Electronic Models","year":2007,"lang":"en","type":"article","venue":"Espace Sculpture","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.01381104640663312,"score_gpt":0.24514832693144184,"score_spread":0.23133728052480873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W576265569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008333335,0.087913156,0.5972807,0.09051782,0.004502744,0.00012098225,0.0035724707,0.002443544,0.20531528],"genre_scores_gemma":[0.26619184,0.10240822,0.387235,0.011095945,0.0056516603,0.00063216116,0.0068738116,0.0034873753,0.21642406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907243,0.00033145503,0.000090029804,0.00019515978,0.00023654816,0.000074377545],"domain_scores_gemma":[0.99682367,0.002119147,0.00010709398,0.0005050858,0.00036080353,0.00008431619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022690315,0.001728784,0.0013748942,0.003010797,0.0022649749,0.006481842,0.0022114718,0.004964607,0.023073087],"category_scores_gemma":[0.0124672055,0.0018747377,0.0009878362,0.0045606014,0.003916652,0.030600326,0.003412325,0.0065325215,0.0063904854],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033562286,0.000019325287,0.00020402783,0.00013155665,0.00001980443,0.000090706366,0.00072557863,0.0015185252,0.00015737252,0.8357523,0.12177243,0.039574854],"study_design_scores_gemma":[0.000019025549,0.0000037799223,0.0001879209,0.00018721273,0.000024575074,0.00015048617,0.00022229497,0.0051128576,0.00042638992,0.74631685,0.24732499,0.000023690713],"about_ca_topic_score_codex":0.0128451,"about_ca_topic_score_gemma":0.014504431,"teacher_disagreement_score":0.023073087,"about_ca_system_score_codex":0.0029272733,"about_ca_system_score_gemma":0.0016647165,"threshold_uncertainty_score":0.07718712},"labels":[],"label_agreement":null},{"id":"W5860890","doi":"10.3217/jucs-014-02","title":"Advances in Document Engineering.","year":2008,"lang":"en","type":"article","venue":"JUCS - Journal of Universal Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Università degli Studi di Salerno; Universidade de São Paulo; University of Bristol; Università degli Studi di Siena; Nottingham Trent University; University of Bern; Université de Sfax; Tampereen Yliopisto; Trent University; Lehigh University","keywords":"Computer science; Information retrieval; Software engineering; Data science","score_opus":0.009495714464171275,"score_gpt":0.22348006160594686,"score_spread":0.21398434714177558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W5860890","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00584152,0.3264846,0.42978442,0.013599153,0.008271317,0.00014723216,0.0021496823,0.0055676736,0.20815437],"genre_scores_gemma":[0.095607564,0.20776545,0.38375935,0.003523636,0.0059720245,0.00025020048,0.00796987,0.0020887528,0.29306316],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99667966,0.00040426967,0.0003442375,0.00083095283,0.0015787245,0.00016229332],"domain_scores_gemma":[0.99356055,0.0021010607,0.00020141223,0.0019477722,0.0019508695,0.00023827866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037279392,0.00087585027,0.0012728997,0.0039293277,0.0008707337,0.004667118,0.0020706947,0.0018187697,0.03012755],"category_scores_gemma":[0.007880247,0.0008019495,0.00079996046,0.0052762236,0.0017075569,0.009681845,0.0020195837,0.0027396164,0.032965783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004397719,0.00006972268,0.0005524812,0.00081845553,0.000049763297,0.00009204824,0.00021522392,0.0010316409,0.0019807145,0.17244738,0.12686397,0.69583464],"study_design_scores_gemma":[0.000010379583,0.000024022436,0.0005747581,0.00027920635,0.000034790944,0.0005131557,0.00011243664,0.0041593607,0.003024919,0.13790058,0.85334426,0.000022146212],"about_ca_topic_score_codex":0.0017860807,"about_ca_topic_score_gemma":0.001743836,"teacher_disagreement_score":0.03012755,"about_ca_system_score_codex":0.001696676,"about_ca_system_score_gemma":0.0014173161,"threshold_uncertainty_score":0.100786686},"labels":[],"label_agreement":null},{"id":"W593879142","doi":"","title":"Inaugural International Conference on Distributed Event-Based Systems : DEBS 07 : June 20-22, 2007, Toronto, Ontario, Canada","year":2007,"lang":"en","type":"book","venue":"Association for Computing Machinery eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Library science; Geography; Political science; Regional science; History; Computer science; Physics","score_opus":0.0167472982267819,"score_gpt":0.2511577913711912,"score_spread":0.23441049314440932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W593879142","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021585735,0.043074645,0.40236324,0.025656223,0.051364932,0.0014637193,0.022306712,0.041190617,0.39099413],"genre_scores_gemma":[0.025303103,0.016018955,0.06370697,0.0011897386,0.0018055789,0.0003111486,0.030580025,0.0035078826,0.85757655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987919,0.00016999256,0.000055184242,0.00017432847,0.0005852828,0.00022343843],"domain_scores_gemma":[0.99626535,0.0004173793,0.000040029303,0.0004332133,0.0019414366,0.0009026444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038595814,0.0017694455,0.0025345145,0.0011678599,0.0022200055,0.00606631,0.002364371,0.0014268394,0.12871693],"category_scores_gemma":[0.003091643,0.0007192992,0.0008534941,0.002238754,0.0013311033,0.0030938687,0.0027270645,0.0028566103,0.05749461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018610789,0.00013154066,0.0004385171,0.00016607519,0.000018177061,0.000072657844,0.00021908214,0.00073089986,0.0013626498,0.0070304205,0.88621104,0.10343275],"study_design_scores_gemma":[0.00006552061,0.000083493425,0.0017869199,0.00015407223,0.000038925667,0.00012257707,0.00037115585,0.0075311786,0.0015123421,0.0052631884,0.9830335,0.00003724426],"about_ca_topic_score_codex":0.1602425,"about_ca_topic_score_gemma":0.2430903,"teacher_disagreement_score":0.8397575,"about_ca_system_score_codex":0.0037967488,"about_ca_system_score_gemma":0.011965578,"threshold_uncertainty_score":0.43060106},"labels":[],"label_agreement":null},{"id":"W593961933","doi":"","title":"ISMM'10 : proceedings of the 2010 ACM SIGPLAN International Symposium on Memory Management, June 5-6, 2010, Toronto, Ontario, Canada","year":2010,"lang":"en","type":"book","venue":"Association for Computing Machinery eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Computer science","score_opus":0.009468343704984157,"score_gpt":0.21363899160777472,"score_spread":0.20417064790279058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W593961933","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048332606,0.0965221,0.33277264,0.02276737,0.034761425,0.0015316287,0.034796882,0.04192765,0.38658762],"genre_scores_gemma":[0.058812976,0.030105345,0.12154206,0.0025227505,0.0022446378,0.00057153363,0.0543655,0.0050435886,0.72479165],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940526,0.00008721589,0.000042208325,0.00008086454,0.00025527933,0.00012919887],"domain_scores_gemma":[0.9988669,0.0001710605,0.0000311095,0.0001808231,0.0004792928,0.00027085855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001501745,0.0018703867,0.001751974,0.0012469563,0.0018152741,0.004755895,0.0027083175,0.0011019622,0.06740804],"category_scores_gemma":[0.00194139,0.0009060576,0.00073164527,0.002104314,0.0008906921,0.004220261,0.0023196605,0.002075735,0.029016262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022542532,0.00013426298,0.0007183223,0.0002558829,0.000025993688,0.00008135265,0.0002151676,0.00091822963,0.0030133675,0.005719643,0.8393044,0.14938791],"study_design_scores_gemma":[0.000071065944,0.0000841359,0.0021172632,0.00022259283,0.00008549328,0.00024026193,0.00037972225,0.010087425,0.005837856,0.010009873,0.97082114,0.000043198484],"about_ca_topic_score_codex":0.071430854,"about_ca_topic_score_gemma":0.22487295,"teacher_disagreement_score":0.92856914,"about_ca_system_score_codex":0.0027344143,"about_ca_system_score_gemma":0.0066682743,"threshold_uncertainty_score":0.22550237},"labels":[],"label_agreement":null},{"id":"W60013937","doi":"","title":"Tools for Ontology Modeling and Visualization.","year":2010,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Visualization; Ontology; Data visualization; Data science; Information retrieval; Data mining; Epistemology","score_opus":0.015450640187898252,"score_gpt":0.24508750957832418,"score_spread":0.22963686939042594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W60013937","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072264584,0.0009048406,0.87380314,0.000611429,0.00019278219,0.00020856934,0.0063090613,0.107503034,0.0097444495],"genre_scores_gemma":[0.01948838,0.0022587792,0.929835,0.00037803524,0.00010217547,0.0007281044,0.028881777,0.010130433,0.008197317],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972579,0.0006576643,0.0006047457,0.0002996026,0.0010455382,0.00013451242],"domain_scores_gemma":[0.9917332,0.004254065,0.00041904548,0.0022740562,0.0009494478,0.00037007692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005639408,0.0024381727,0.0014340824,0.007085027,0.0015713635,0.008238474,0.00366129,0.0026141305,0.0303502],"category_scores_gemma":[0.020526145,0.0024851249,0.0026307555,0.006974884,0.0011888535,0.011368079,0.0062376903,0.0043341247,0.017246746],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002736268,0.00034682124,0.0015055209,0.0023319009,0.00038188885,0.0010130914,0.001814581,0.009534303,0.0076933675,0.20330127,0.36013967,0.41166392],"study_design_scores_gemma":[0.00015228901,0.00003645589,0.00078675256,0.0009496077,0.000114892624,0.0008385267,0.0004986555,0.07131276,0.009482638,0.30620942,0.6095022,0.00011587117],"about_ca_topic_score_codex":0.0065644826,"about_ca_topic_score_gemma":0.010572424,"teacher_disagreement_score":0.0303502,"about_ca_system_score_codex":0.0013164148,"about_ca_system_score_gemma":0.0025929802,"threshold_uncertainty_score":0.101531565},"labels":[],"label_agreement":null},{"id":"W60221386","doi":"","title":"Assigning Bookmarks in Perfect Binary Trees.","year":2007,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Binary number; Binary tree; Combinatorics; Arithmetic","score_opus":0.014520860364420268,"score_gpt":0.2539736486830309,"score_spread":0.23945278831861064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W60221386","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09787331,0.0016190283,0.78508836,0.0016464004,0.00067812216,0.00024057447,0.0027104174,0.0036884197,0.10645536],"genre_scores_gemma":[0.5216414,0.0014582382,0.4018355,0.0006963234,0.00033565395,0.00020104466,0.0040595876,0.0014348583,0.06833746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975756,0.0005793393,0.00026324778,0.0005913069,0.00057408196,0.0004164476],"domain_scores_gemma":[0.99431676,0.0022377523,0.00052531017,0.0015698383,0.00078382733,0.00056641403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017422729,0.00043804286,0.0009809695,0.0031593046,0.003579816,0.004492582,0.0020551984,0.0017973038,0.018071124],"category_scores_gemma":[0.013303223,0.000833382,0.0012326791,0.0053081526,0.0028200424,0.014012809,0.0048556565,0.0019604678,0.0047575133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108633576,0.00006989312,0.0011417129,0.00016265569,0.00002432701,0.00018288514,0.0004928126,0.0033008843,0.0010982698,0.901785,0.009067522,0.082565464],"study_design_scores_gemma":[0.000014229254,0.00001714903,0.00033339913,0.000071485796,0.0000306203,0.0002120635,0.0002908705,0.008110021,0.0019164301,0.9565584,0.032418754,0.00002654501],"about_ca_topic_score_codex":0.0044954554,"about_ca_topic_score_gemma":0.006841979,"teacher_disagreement_score":0.018071124,"about_ca_system_score_codex":0.0020902029,"about_ca_system_score_gemma":0.0019699081,"threshold_uncertainty_score":0.06045389},"labels":[],"label_agreement":null},{"id":"W603330319","doi":"","title":"SymposiumPlanner-2011: Querying Two Virtual Organization Committees","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"RuleML; Computer science; Redundancy (engineering); World Wide Web; Virtual organization; User interface; Information retrieval; XML; Markup language; Programming language; Operating system","score_opus":0.029273732809213304,"score_gpt":0.22368115426653787,"score_spread":0.19440742145732456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W603330319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18498993,0.0038215881,0.36155307,0.010169063,0.0013108476,0.0017107785,0.06954718,0.16023023,0.20666738],"genre_scores_gemma":[0.44386655,0.001555585,0.37653062,0.0010209786,0.00021910304,0.00080084807,0.1250467,0.008526826,0.042432822],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99263376,0.003364407,0.0005473884,0.0010988946,0.002073443,0.00028217342],"domain_scores_gemma":[0.9921828,0.003017577,0.00037958732,0.0022917206,0.001106913,0.0010214389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057553737,0.00085823593,0.0010728233,0.0030439731,0.0016270888,0.007257543,0.0023119806,0.0019351891,0.022063868],"category_scores_gemma":[0.017037354,0.0009866854,0.001095832,0.0035945587,0.00069887144,0.00710231,0.0047943937,0.0015260333,0.0063973735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001707537,0.00066112453,0.018892303,0.0007978945,0.00030417036,0.001885758,0.0054750955,0.045216314,0.0042995443,0.07729856,0.52186143,0.32160026],"study_design_scores_gemma":[0.0003538228,0.00011486265,0.006787249,0.00022770063,0.00006995026,0.00056157616,0.0036057637,0.2538994,0.007783029,0.03870356,0.687709,0.00018405744],"about_ca_topic_score_codex":0.025550334,"about_ca_topic_score_gemma":0.034953468,"teacher_disagreement_score":0.025550334,"about_ca_system_score_codex":0.0028576849,"about_ca_system_score_gemma":0.002371234,"threshold_uncertainty_score":0.073811054},"labels":[],"label_agreement":null},{"id":"W60509817","doi":"","title":"Verbalization Enhanced Tutoring.","year":2006,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Meaning (existential); Domain (mathematical analysis); Human–computer interaction; Intelligent tutoring system; Representation (politics); Natural language; Expression (computer science); Natural (archaeology); Knowledge representation and reasoning; Multimedia; Natural language processing; Artificial intelligence; Programming language; Psychology","score_opus":0.04165342641943765,"score_gpt":0.3442484926512916,"score_spread":0.30259506623185395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W60509817","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10345968,0.0012511024,0.85958743,0.00058730866,0.0002174761,0.0006267049,0.0003379865,0.014184693,0.019747702],"genre_scores_gemma":[0.70381176,0.00060440286,0.27858815,0.00047577426,0.000106128966,0.00045478804,0.0006881048,0.0004210231,0.014849911],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989334,0.0005001949,0.00005783014,0.00018372947,0.0002433463,0.000081433034],"domain_scores_gemma":[0.9970649,0.001711395,0.00028928497,0.0003080715,0.0005172336,0.000109090644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008221364,0.00048214418,0.0002847638,0.00037500184,0.00014900576,0.00088802574,0.0007321642,0.0006630642,0.0057438873],"category_scores_gemma":[0.006674335,0.00011804384,0.00027842566,0.00029390672,0.0003370219,0.0013315153,0.0010838675,0.0006101947,0.0012401402],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066325616,0.00049238483,0.0020495588,0.0010206184,0.000069325564,0.00023174069,0.001597191,0.011281647,0.1247248,0.011512251,0.0070902705,0.8392669],"study_design_scores_gemma":[0.0006859573,0.0032661217,0.010884892,0.00043630716,0.0006639991,0.0026987167,0.0015262349,0.32021362,0.3548305,0.043602623,0.26093072,0.00026034043],"about_ca_topic_score_codex":0.0003651212,"about_ca_topic_score_gemma":0.00048627512,"teacher_disagreement_score":0.0057438873,"about_ca_system_score_codex":0.0003160808,"about_ca_system_score_gemma":0.0003559617,"threshold_uncertainty_score":0.019215226},"labels":[],"label_agreement":null},{"id":"W620718788","doi":"","title":"Proceedings of the 4th Workshop on Ontology and Semantic Web Patterns","year":2014,"lang":"en","type":"article","venue":"International Semantic Web Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Ontology; Semantic Web; World Wide Web; OWL-S; Information retrieval; Semantic analytics; Social Semantic Web; Semantic Web Stack","score_opus":0.021615630712698848,"score_gpt":0.2526155752087996,"score_spread":0.23099994449610078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W620718788","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04527618,0.019523632,0.74075305,0.049882587,0.020940127,0.0007909484,0.0031090158,0.002883737,0.11684076],"genre_scores_gemma":[0.18375637,0.0185416,0.56669605,0.0062076207,0.0047506196,0.0006219294,0.017038101,0.0025058785,0.19988188],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969668,0.0010926545,0.0003490306,0.00054705195,0.0007396144,0.00030482776],"domain_scores_gemma":[0.9936068,0.00212044,0.00021134487,0.0015882051,0.0017483282,0.00072497263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079336995,0.00092451816,0.0014851,0.0020034544,0.0017980686,0.009073086,0.0021488266,0.0021758357,0.0237247],"category_scores_gemma":[0.0105928,0.0010535567,0.0017818265,0.002430522,0.0023018715,0.013568326,0.0042478754,0.0042569553,0.004884794],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008369087,0.0009579045,0.0041105677,0.00071421755,0.00022441887,0.0006199534,0.0032974668,0.002511182,0.008635076,0.18191816,0.27726328,0.5189109],"study_design_scores_gemma":[0.000076907454,0.000120879384,0.0025985122,0.0004989171,0.00016770522,0.00067015586,0.0013877512,0.015938124,0.008011034,0.1508142,0.81964606,0.00006969186],"about_ca_topic_score_codex":0.009860139,"about_ca_topic_score_gemma":0.014438458,"teacher_disagreement_score":0.0237247,"about_ca_system_score_codex":0.0024077857,"about_ca_system_score_gemma":0.003960161,"threshold_uncertainty_score":0.07936704},"labels":[],"label_agreement":null},{"id":"W62849181","doi":"10.5555/1929757.1929784","title":"Contextual factors in database integration: a Delphi study","year":2010,"lang":"en","type":"article","venue":"International Conference on Conceptual Modeling","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Schema matching; Heuristics; Computer science; Data integration; Database schema; Schema migration; Matching (statistics); Schema (genetic algorithms); Conceptual schema; Database; Delphi method; Delphi; Information integration; Information retrieval; Knowledge management; Data mining; Data science; Database design; Artificial intelligence; Semi-structured model","score_opus":0.15343813642623957,"score_gpt":0.34994128911565725,"score_spread":0.19650315268941768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W62849181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870999,0.00021991746,0.0051165274,0.00072472414,0.000014888884,0.00063028355,0.000035447752,0.0000078136545,0.0061504603],"genre_scores_gemma":[0.99596125,0.00021870527,0.0028196434,0.00019754682,0.0000045574134,0.00032290997,0.000022698143,0.00000893487,0.0004438183],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9357468,0.050544325,0.0031641682,0.0015455835,0.0046795188,0.0043195672],"domain_scores_gemma":[0.8551702,0.12253825,0.0033095833,0.0022022987,0.014004179,0.002775489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06564808,0.00054335827,0.0007572226,0.003171154,0.009330191,0.0066078296,0.0014232072,0.0018733445,0.003135645],"category_scores_gemma":[0.09911046,0.0011249718,0.0006900787,0.0039196406,0.0035063233,0.006575765,0.007202487,0.0022217194,0.0003066062],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095681136,0.00128644,0.09535366,0.0009991464,0.000121488,0.0011468484,0.8207468,0.0009606941,0.0020249188,0.008949151,0.00091414974,0.0665399],"study_design_scores_gemma":[0.000041074407,0.00045998633,0.025567034,0.00047182376,0.00010710298,0.0002708332,0.96514255,0.001508427,0.0010645359,0.0015525472,0.0037653625,0.000048757207],"about_ca_topic_score_codex":0.009499149,"about_ca_topic_score_gemma":0.013257853,"teacher_disagreement_score":0.06564808,"about_ca_system_score_codex":0.00605716,"about_ca_system_score_gemma":0.010424189,"threshold_uncertainty_score":0.34718436},"labels":[],"label_agreement":null},{"id":"W63266843","doi":"10.5555/2499986.2499989","title":"Tagging and folksonomies for information retrieval in Web 2.0","year":2013,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Folksonomy; Bookmarking; Computer science; Information retrieval; World Wide Web; Relation (database); The Internet; Process (computing); Data mining","score_opus":0.017458079707997384,"score_gpt":0.23886095966724594,"score_spread":0.22140287995924857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W63266843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063749636,0.0043076645,0.9705784,0.0016421886,0.00040024842,0.000557133,0.0008505514,0.001847443,0.013441504],"genre_scores_gemma":[0.058951978,0.0034468267,0.92670095,0.000598248,0.00032264378,0.0006425031,0.0020899572,0.00022061393,0.007026211],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9921864,0.003322061,0.0013976598,0.0011081126,0.0017193862,0.00026629728],"domain_scores_gemma":[0.99292576,0.0029208136,0.00079862255,0.0017765762,0.0013607214,0.00021749958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048525245,0.0008084991,0.0012347902,0.009109874,0.0022308466,0.0073870225,0.0012808485,0.0016990629,0.0048756925],"category_scores_gemma":[0.017392248,0.0006512946,0.0016301273,0.01011094,0.0021157407,0.012768615,0.0030557967,0.0017598504,0.0038107575],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016832024,0.00017669931,0.0029288472,0.0015709833,0.00013280682,0.0004330116,0.0021761318,0.007023621,0.009460509,0.4558082,0.027606754,0.49251413],"study_design_scores_gemma":[0.000047249086,0.00016019747,0.0060432446,0.0011645248,0.00012283164,0.0017955857,0.0018296181,0.13303362,0.009455209,0.5457363,0.30032176,0.0002898506],"about_ca_topic_score_codex":0.0053390507,"about_ca_topic_score_gemma":0.005143682,"teacher_disagreement_score":0.009109874,"about_ca_system_score_codex":0.0026397917,"about_ca_system_score_gemma":0.0026084846,"threshold_uncertainty_score":0.025662899},"labels":[],"label_agreement":null},{"id":"W63289126","doi":"10.2991/978-94-6239-030-0_17","title":"Spatio-temporal Inference","year":2014,"lang":"en","type":"book-chapter","venue":"Atlantis thinking machines","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pyrogenesis (Canada)","funders":"","keywords":"Inference; Probabilistic logic; Spacetime; Computer science; Temporal logic; Trajectory; Artificial intelligence; Connection (principal bundle); Theoretical computer science; Space (punctuation); Rule of inference; Motion (physics); Calculus (dental); Algorithm; Mathematics; Geometry","score_opus":0.020286818129144554,"score_gpt":0.25212196803510534,"score_spread":0.23183514990596077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W63289126","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015162798,0.0020318967,0.78761345,0.002916722,0.0005154141,0.00009801482,0.00078667497,0.0011175207,0.20340405],"genre_scores_gemma":[0.17293811,0.007402417,0.69311786,0.0020255134,0.00083871046,0.00032374356,0.0032692484,0.0008356562,0.11924881],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991142,0.00019078766,0.000083618055,0.0002648951,0.0003006628,0.000045858607],"domain_scores_gemma":[0.9990908,0.00040832325,0.000044674896,0.00022609465,0.00019162892,0.000038543138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019643884,0.0007848648,0.0004390079,0.0017505952,0.0014550326,0.003815721,0.002414114,0.0014180561,0.020877967],"category_scores_gemma":[0.0040494003,0.0005445591,0.0015151115,0.0017021869,0.003780295,0.0090383105,0.0029793736,0.0026551145,0.0065273778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000498795,0.000006028309,0.000067863126,0.000068939975,0.00000865315,0.00005010737,0.00020194505,0.0013218832,0.00023292373,0.9683242,0.005405819,0.024306696],"study_design_scores_gemma":[0.0000038843787,0.0000033368572,0.00007515197,0.00008646103,0.000012893993,0.00009098974,0.00007192035,0.010829642,0.0005480617,0.8407301,0.14753814,0.000009504996],"about_ca_topic_score_codex":0.004714669,"about_ca_topic_score_gemma":0.004238493,"teacher_disagreement_score":0.020877967,"about_ca_system_score_codex":0.002790522,"about_ca_system_score_gemma":0.0017879145,"threshold_uncertainty_score":0.06984371},"labels":[],"label_agreement":null},{"id":"W649630308","doi":"10.71781/10709","title":"Une approche d'ingénierie ontologique pour l'acquisition et l'exploitation des connaissances à partir de documents textuels : vers des objets de connaissances et d'apprentissage","year":2007,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.08970836965419038,"score_gpt":0.3838895738401248,"score_spread":0.2941812041859344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W649630308","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043676174,0.00079941336,0.9791747,0.0016659471,0.00020581268,0.00025592707,0.00030628237,0.0028597435,0.010364528],"genre_scores_gemma":[0.048338756,0.0015367166,0.9258962,0.0006171284,0.00012270716,0.0003560167,0.0012514577,0.0007287092,0.02115234],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99622995,0.0010199865,0.00040153958,0.00073510944,0.0014886529,0.00012477848],"domain_scores_gemma":[0.9938678,0.0018058363,0.00020920688,0.0020928488,0.0017943123,0.00022992706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00546983,0.00081677426,0.0007940355,0.0036383215,0.002158496,0.0083644,0.0019309775,0.0022023565,0.0062712724],"category_scores_gemma":[0.010055924,0.000967691,0.0023251604,0.0027220154,0.0026185627,0.010057029,0.004161169,0.0029785736,0.002669189],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020080394,0.0003762985,0.00337618,0.0011063394,0.00028529787,0.0012264515,0.006946585,0.0057162796,0.03458397,0.42262217,0.02013479,0.50342476],"study_design_scores_gemma":[0.0000772635,0.000106065934,0.0030428653,0.00049521343,0.00028646708,0.0019034948,0.0020026194,0.0690935,0.023327187,0.2814718,0.6180457,0.00014791738],"about_ca_topic_score_codex":0.009710787,"about_ca_topic_score_gemma":0.018388636,"teacher_disagreement_score":0.009710787,"about_ca_system_score_codex":0.0014230765,"about_ca_system_score_gemma":0.0042093215,"threshold_uncertainty_score":0.028927565},"labels":[],"label_agreement":null},{"id":"W64967792","doi":"10.1007/978-3-642-20862-1_6","title":"E-Tourism Portal: A Case Study in Ontology-Driven Development","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Ontology; Software engineering; Slicing; Quality (philosophy); Tourism; Semantics (computer science); Process (computing); The Internet; Process management; World Wide Web; Knowledge management; Programming language; Engineering","score_opus":0.0317897022659461,"score_gpt":0.25666165461645507,"score_spread":0.22487195235050897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W64967792","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87568957,0.00021276218,0.03719036,0.0019446128,0.00004323103,0.00043824615,0.00033349582,0.0003451965,0.08380255],"genre_scores_gemma":[0.95685196,0.00027855337,0.028895663,0.00012208268,0.0000063766547,0.0001020802,0.00032302312,0.0001184927,0.013301788],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998767,0.00072717713,0.0000413689,0.000060749284,0.00025785167,0.00014591518],"domain_scores_gemma":[0.99793327,0.0013156891,0.000076230055,0.00018732241,0.00022003565,0.0002673933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017814772,0.00021161723,0.0001969263,0.0006502666,0.002125572,0.0028432421,0.0008274379,0.0015988018,0.0029833948],"category_scores_gemma":[0.003137118,0.00018187467,0.00036231763,0.0016997795,0.0012692804,0.0027301488,0.0018941252,0.0009961488,0.0006493667],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012617179,0.007335277,0.059596162,0.0014518545,0.00010775841,0.050954096,0.10209589,0.025738893,0.02511832,0.31522927,0.032376472,0.3787344],"study_design_scores_gemma":[0.00046082356,0.0013811357,0.038667064,0.00078633823,0.00019459719,0.017160345,0.21305344,0.17008172,0.044956576,0.07124844,0.44178778,0.00022176125],"about_ca_topic_score_codex":0.008149447,"about_ca_topic_score_gemma":0.014213564,"teacher_disagreement_score":0.008149447,"about_ca_system_score_codex":0.0014082333,"about_ca_system_score_gemma":0.0020430146,"threshold_uncertainty_score":0.016204},"labels":[],"label_agreement":null},{"id":"W6521761","doi":"10.1007/bf00377903","title":"SHASS: A New Electronic Annotation Support System, Towards an Effective Knowledge Sharing in Digital Library.","year":2005,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Digital library; Computer science; Search engine indexing; World Wide Web; Annotation; Domain (mathematical analysis); Knowledge sharing; Reading (process); Multimedia; Knowledge management","score_opus":0.0362885614425403,"score_gpt":0.34853927317294103,"score_spread":0.31225071173040075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6521761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06840142,0.001626948,0.6974858,0.0033584728,0.00093816593,0.0013303371,0.0041229986,0.19072177,0.032014143],"genre_scores_gemma":[0.18203242,0.0012941582,0.72307616,0.0018569705,0.00038801998,0.0009534737,0.014298629,0.003707926,0.07239235],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981437,0.0004170537,0.00021970794,0.00030977934,0.00082541513,0.00008437303],"domain_scores_gemma":[0.99685365,0.0007141475,0.00029369007,0.0009874932,0.00068758224,0.0004635156],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0038232303,0.0007307993,0.0006361582,0.0026340608,0.001427606,0.0025817943,0.001764374,0.0014484656,0.006062057],"category_scores_gemma":[0.007432843,0.0006000929,0.0005619073,0.002057072,0.0012515873,0.008389894,0.0050808806,0.0013063013,0.0043814485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010676844,0.0005147242,0.0049184957,0.0012892297,0.00016917805,0.0008318175,0.0049546543,0.0027886138,0.048011556,0.03300044,0.18553726,0.71691644],"study_design_scores_gemma":[0.00027463044,0.00027248595,0.004642265,0.00031660512,0.00023291362,0.00091623125,0.0015762572,0.061156757,0.04781528,0.038119465,0.8444492,0.00022804603],"about_ca_topic_score_codex":0.0036297126,"about_ca_topic_score_gemma":0.0049054637,"teacher_disagreement_score":0.9974182,"about_ca_system_score_codex":0.0008292312,"about_ca_system_score_gemma":0.0027190542,"threshold_uncertainty_score":0.020279586},"labels":[],"label_agreement":null},{"id":"W67683022","doi":"10.11575/prism/29074","title":"Developing a Canadian Metadata Profile for Institutional Repositories","year":2004,"lang":"en","type":"article","venue":"Open MIND","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Metadata; Library science; Presentation (obstetrics); World Wide Web; Political science; Computer science; Geography","score_opus":0.09650269989795446,"score_gpt":0.32570207561143916,"score_spread":0.2291993757134847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W67683022","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07741641,0.0014200101,0.6935532,0.028141476,0.00076645,0.007387962,0.02903393,0.012734885,0.14954568],"genre_scores_gemma":[0.1276822,0.0017723425,0.80806875,0.0013067917,0.0000981325,0.0017908921,0.02987212,0.0012110336,0.02819775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98884636,0.0013275471,0.0019516341,0.00069549837,0.005959105,0.0012199878],"domain_scores_gemma":[0.9516544,0.0019691193,0.0019611449,0.0029542537,0.039253015,0.0022081016],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.018910117,0.00081518537,0.000735712,0.025266383,0.011696989,0.010140999,0.002755144,0.0015006356,0.003453727],"category_scores_gemma":[0.030237691,0.0008714205,0.0010300698,0.019132858,0.0017579609,0.011179381,0.004554533,0.0021497654,0.0026937937],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020137917,0.00023675936,0.044281602,0.0008500596,0.000049695376,0.0007838498,0.014789519,0.008137358,0.014280181,0.22993982,0.16593215,0.52051765],"study_design_scores_gemma":[0.00002800988,0.00007548544,0.01888504,0.0013580767,0.00008139776,0.00046764183,0.012706236,0.017540317,0.013845534,0.017238302,0.9174703,0.00030351957],"about_ca_topic_score_codex":0.80685216,"about_ca_topic_score_gemma":0.8657713,"teacher_disagreement_score":0.989859,"about_ca_system_score_codex":0.042915754,"about_ca_system_score_gemma":0.11231736,"threshold_uncertainty_score":0.3885706},"labels":[],"label_agreement":null},{"id":"W67933162","doi":"10.3233/978-1-58603-923-3-208","title":"SKIing with DOLCE: toward an e-Science Knowledge Infrastructure","year":2008,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"e-Science; Knowledge management; Data science; Computer science; Geography; Geodesy","score_opus":0.041136566001200144,"score_gpt":0.28186092931488055,"score_spread":0.2407243633136804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W67933162","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053531784,0.004610052,0.69985676,0.0075559327,0.00074200245,0.00024871205,0.00075552874,0.0050914707,0.27578628],"genre_scores_gemma":[0.06415219,0.01158382,0.72918475,0.0030039807,0.00031465333,0.00035109743,0.003961375,0.0015292588,0.18591888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991892,0.00015291316,0.000068278496,0.00012081244,0.0003782508,0.00009056721],"domain_scores_gemma":[0.9992046,0.00028728426,0.000030005047,0.00020173397,0.00018307946,0.00009333829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019207406,0.0005834205,0.00059055025,0.0025819612,0.001099818,0.0071663973,0.002356133,0.001799066,0.010549135],"category_scores_gemma":[0.0027017903,0.00062912813,0.0010290429,0.004121954,0.0038171678,0.0170327,0.005566957,0.0038794982,0.0048108893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014147288,0.000021823846,0.00013767679,0.00027695863,0.000008603757,0.00013518705,0.0008428994,0.0014720326,0.0009957565,0.8751572,0.025854357,0.09508344],"study_design_scores_gemma":[0.000008945517,0.000008001378,0.00009511368,0.00017194472,0.000008662929,0.000292277,0.0003430103,0.0053654686,0.0015821462,0.22175695,0.7703512,0.000016277525],"about_ca_topic_score_codex":0.0059678964,"about_ca_topic_score_gemma":0.005547988,"teacher_disagreement_score":0.010549135,"about_ca_system_score_codex":0.002926636,"about_ca_system_score_gemma":0.0042121485,"threshold_uncertainty_score":0.03529036},"labels":[],"label_agreement":null},{"id":"W6893434872","doi":"10.5281/zenodo.15758544","title":"Can this robot query my Linked Data Store? Exploring retrieval-augmented models for Repository Search & Discovery","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Linked data; Presentation (obstetrics); Generative grammar; Focus (optics); Resource (disambiguation); SPARQL; Data integration; RDF","score_opus":0.13583622391036942,"score_gpt":0.2852109248346988,"score_spread":0.14937470092432936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893434872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14733973,0.0011506885,0.80865645,0.00799995,0.00014387495,0.00046722437,0.0014253418,0.0051952004,0.027621487],"genre_scores_gemma":[0.7562974,0.0005946087,0.23116201,0.00061720214,0.000050125727,0.00029488918,0.0013592542,0.00040316238,0.009221331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967885,0.0020008392,0.00016519522,0.00042303186,0.00044406453,0.00017845091],"domain_scores_gemma":[0.9880045,0.009371448,0.0003625812,0.0014102194,0.00058128184,0.00027009312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055976566,0.0005084598,0.00081846566,0.0017136658,0.0012837101,0.005949357,0.0020011743,0.002088949,0.004867408],"category_scores_gemma":[0.021406054,0.0004376153,0.0015621827,0.0019702108,0.002631977,0.010239416,0.0034441934,0.0015799,0.0012725209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089771807,0.000491662,0.008485425,0.00088522874,0.00019508624,0.0010966263,0.011598334,0.20062417,0.003851494,0.61841124,0.0113447765,0.14211829],"study_design_scores_gemma":[0.000057956895,0.000086042404,0.0004287678,0.0000686249,0.00006122385,0.0002446076,0.0019531124,0.8212653,0.0019767156,0.16027333,0.013532137,0.000052198702],"about_ca_topic_score_codex":0.019393032,"about_ca_topic_score_gemma":0.024241157,"teacher_disagreement_score":0.019393032,"about_ca_system_score_codex":0.0021931878,"about_ca_system_score_gemma":0.0017572849,"threshold_uncertainty_score":0.03856027},"labels":[],"label_agreement":null},{"id":"W6893480327","doi":"10.5281/zenodo.15758543","title":"Can this robot query my Linked Data Store? Exploring retrieval-augmented models for Repository Search & Discovery","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Linked data; Presentation (obstetrics); Generative grammar; Focus (optics); Resource (disambiguation); SPARQL; Data integration; RDF","score_opus":0.13583622391036942,"score_gpt":0.2852109248346988,"score_spread":0.14937470092432936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893480327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14733973,0.0011506885,0.80865645,0.00799995,0.00014387495,0.00046722437,0.0014253418,0.0051952004,0.027621487],"genre_scores_gemma":[0.7562974,0.0005946087,0.23116201,0.00061720214,0.000050125727,0.00029488918,0.0013592542,0.00040316238,0.009221331],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967885,0.0020008392,0.00016519522,0.00042303186,0.00044406453,0.00017845091],"domain_scores_gemma":[0.9880045,0.009371448,0.0003625812,0.0014102194,0.00058128184,0.00027009312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055976566,0.0005084598,0.00081846566,0.0017136658,0.0012837101,0.005949357,0.0020011743,0.002088949,0.004867408],"category_scores_gemma":[0.021406054,0.0004376153,0.0015621827,0.0019702108,0.002631977,0.010239416,0.0034441934,0.0015799,0.0012725209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089771807,0.000491662,0.008485425,0.00088522874,0.00019508624,0.0010966263,0.011598334,0.20062417,0.003851494,0.61841124,0.0113447765,0.14211829],"study_design_scores_gemma":[0.000057956895,0.000086042404,0.0004287678,0.0000686249,0.00006122385,0.0002446076,0.0019531124,0.8212653,0.0019767156,0.16027333,0.013532137,0.000052198702],"about_ca_topic_score_codex":0.019393032,"about_ca_topic_score_gemma":0.024241157,"teacher_disagreement_score":0.019393032,"about_ca_system_score_codex":0.0021931878,"about_ca_system_score_gemma":0.0017572849,"threshold_uncertainty_score":0.03856027},"labels":[],"label_agreement":null},{"id":"W6893544988","doi":"10.5281/zenodo.16538765","title":"SHACLEval – A Quality Framework for the Shapes Constraint Language","year":2025,"lang":"en","type":"dataset","venue":"WU Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Constraint (computer-aided design); Constraint logic programming; Quality (philosophy); Constraint programming; Constraint satisfaction; Data quality","score_opus":0.18896373066227506,"score_gpt":0.5096256195355803,"score_spread":0.3206618888733052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893544988","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046947887,0.0013300529,0.016331365,0.0011012864,0.00055822986,0.0003825963,0.9493589,0.01947962,0.006763229],"genre_scores_gemma":[0.00338018,0.00012477313,0.009828042,0.00025529612,0.00003180475,0.00046269156,0.9838575,0.00091426715,0.0011454249],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9871179,0.003027695,0.0012342791,0.0029955322,0.0043217125,0.0013028607],"domain_scores_gemma":[0.9864001,0.0032721062,0.00073080667,0.0054937196,0.0033527554,0.00075041276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008119933,0.004554209,0.0032216236,0.010344543,0.0040703462,0.0060395906,0.009495503,0.004864783,0.03046247],"category_scores_gemma":[0.028647162,0.0013383706,0.0036355325,0.011713201,0.0023072108,0.0054106065,0.009148159,0.0060428805,0.049431678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021781836,0.000098307246,0.0009863599,0.0006977484,0.00010425674,0.000054480923,0.000055249915,0.0018146544,0.00040687755,0.0025343308,0.97457904,0.018450897],"study_design_scores_gemma":[0.00089504896,0.00009544648,0.0061543775,0.0004675005,0.00015470346,0.0005132168,0.00036712261,0.021790564,0.0056574065,0.022330977,0.94138235,0.00019139289],"about_ca_topic_score_codex":0.0518311,"about_ca_topic_score_gemma":0.090816796,"teacher_disagreement_score":0.0518311,"about_ca_system_score_codex":0.0044583664,"about_ca_system_score_gemma":0.005267734,"threshold_uncertainty_score":0.103058815},"labels":[],"label_agreement":null},{"id":"W6893904708","doi":"10.5281/zenodo.5095465","title":"RDF graphs in VIVO : are we using them optimally?","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada)","funders":"","keywords":"RDF; Graph; SPARQL; Linked data; Semantic Web; Directed graph","score_opus":0.0895383821473752,"score_gpt":0.2666951333261581,"score_spread":0.17715675117878288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893904708","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008390536,0.0029124483,0.87083054,0.051925637,0.0012711796,0.00035795654,0.0044747405,0.026241817,0.03359514],"genre_scores_gemma":[0.062173393,0.0026829555,0.90110123,0.00837404,0.00042862794,0.00026158505,0.00653891,0.0106107835,0.0078283725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9861093,0.008438972,0.00079169957,0.0018806659,0.0022566484,0.0005226872],"domain_scores_gemma":[0.9566711,0.017348045,0.0011890933,0.019731367,0.003735642,0.0013246963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023233375,0.0014309931,0.0014233163,0.0025194162,0.0024954479,0.013189745,0.0032484129,0.0031658902,0.02053191],"category_scores_gemma":[0.07055084,0.0019631388,0.002174574,0.0029742406,0.004722621,0.05731145,0.0066928226,0.0061385366,0.010306515],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005010196,0.00026205834,0.0028325187,0.00073577504,0.00016948246,0.00024093254,0.001742145,0.0052318405,0.0043460126,0.46929133,0.20025781,0.31438908],"study_design_scores_gemma":[0.000056721674,0.000042548654,0.00035420898,0.00042748096,0.000068230365,0.00030427374,0.001635656,0.012954796,0.0056820996,0.542592,0.4358003,0.00008173172],"about_ca_topic_score_codex":0.005285025,"about_ca_topic_score_gemma":0.009963522,"teacher_disagreement_score":0.023233375,"about_ca_system_score_codex":0.0019704557,"about_ca_system_score_gemma":0.0038383682,"threshold_uncertainty_score":0.12287128},"labels":[],"label_agreement":null},{"id":"W6894001278","doi":"10.5281/zenodo.6512635","title":"Why FRBRoo and CIDOC CRM are great for expressing (Linked, Open) Ethnographic Research Data","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Metadata; Ethnography; Process (computing); Notation; Linked data; Research data; Data collection","score_opus":0.33679079294971337,"score_gpt":0.36336559701856064,"score_spread":0.02657480406884727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894001278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037096635,0.0031567123,0.7908017,0.08651798,0.0023876997,0.0011152473,0.003464189,0.0064966893,0.06896313],"genre_scores_gemma":[0.17137007,0.0022044391,0.7944467,0.012379736,0.00068117,0.0017654301,0.004006235,0.0025340654,0.01061211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9498698,0.02535111,0.0050132866,0.004401522,0.012696249,0.0026679428],"domain_scores_gemma":[0.8594642,0.046265263,0.0065224925,0.06505054,0.018656362,0.0040411362],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.10302018,0.0009326347,0.0017146188,0.008488558,0.006265302,0.030605625,0.005107816,0.005363975,0.0050895317],"category_scores_gemma":[0.14894822,0.0019830395,0.0023363826,0.013874689,0.016725928,0.06044092,0.014424277,0.006779874,0.0027476756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002169233,0.000083357634,0.0046524005,0.0006152603,0.00008506829,0.00019086248,0.009821733,0.0011448703,0.0016364225,0.88039196,0.023183195,0.07797788],"study_design_scores_gemma":[0.00012574822,0.00007268004,0.0030075684,0.00153525,0.00010587962,0.0005960507,0.012141581,0.0056693577,0.0039334456,0.43420976,0.5383048,0.00029784665],"about_ca_topic_score_codex":0.03776986,"about_ca_topic_score_gemma":0.030555591,"teacher_disagreement_score":0.9948922,"about_ca_system_score_codex":0.010233338,"about_ca_system_score_gemma":0.012632506,"threshold_uncertainty_score":0.54482925},"labels":[],"label_agreement":null},{"id":"W6901683029","doi":"10.60692/f980j-km865","title":"Ontology-Based Semantic Search Framework for Disparate Datasets","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Ontology; Domain (mathematical analysis); Set (abstract data type); Semantic search; Linked data; Construct (python library); Quality (philosophy); Data quality; Overhead (engineering)","score_opus":0.0593582278399547,"score_gpt":0.26682857434247303,"score_spread":0.20747034650251833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901683029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023925684,0.0002574962,0.9875825,0.00061563466,0.000046741286,0.00035279113,0.0018531841,0.0044187913,0.0024802152],"genre_scores_gemma":[0.044260375,0.00049306836,0.944856,0.00031922932,0.00004163902,0.00047871136,0.006991097,0.0005141062,0.002045893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99530125,0.0010589404,0.0009789563,0.0008993635,0.0014802241,0.00028116826],"domain_scores_gemma":[0.9971935,0.0010861985,0.00021691837,0.00070500333,0.0006015423,0.00019691155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064127836,0.0010491647,0.0017047208,0.010455105,0.00290108,0.0062912046,0.0036802846,0.002502144,0.00484742],"category_scores_gemma":[0.011064457,0.0008233375,0.0044919075,0.011837175,0.0017100199,0.012993226,0.006685877,0.0021377027,0.0018818373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002496852,0.00032871088,0.0025269962,0.0009695659,0.00040761914,0.0010051333,0.0018982708,0.052317753,0.0060447054,0.68104094,0.031264905,0.22194569],"study_design_scores_gemma":[0.0000856055,0.00005437982,0.0006229771,0.0002159507,0.00016252414,0.0004957943,0.0010848799,0.49305883,0.0049312245,0.39081737,0.1083615,0.00010899686],"about_ca_topic_score_codex":0.03131732,"about_ca_topic_score_gemma":0.048222613,"teacher_disagreement_score":0.03131732,"about_ca_system_score_codex":0.0042122663,"about_ca_system_score_gemma":0.0057558436,"threshold_uncertainty_score":0.062270045},"labels":[],"label_agreement":null},{"id":"W69143083","doi":"","title":"Representing Textual Requirements as Graphical Natural Language for UML Diagram Generation.","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Unified Modeling Language; Notation; Programming language; Systems Modeling Language; Communication diagram; Class diagram; UML tool; Natural language processing; Activity diagram; Natural language; Object Constraint Language; Knowledge representation and reasoning; Artificial intelligence; Linguistics; Software","score_opus":0.04699469163656951,"score_gpt":0.3076899796389993,"score_spread":0.2606952880024298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W69143083","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015372206,0.0000442342,0.98950225,0.0003213431,0.00006479653,0.0004779818,0.0009024882,0.0026859173,0.004463816],"genre_scores_gemma":[0.031277157,0.0001385708,0.96029156,0.00018839283,0.00003081165,0.00070532033,0.004290849,0.00081087515,0.0022664033],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9940643,0.0031190193,0.0005090809,0.0004843418,0.0016537537,0.00016944112],"domain_scores_gemma":[0.9916694,0.005026168,0.00056624855,0.0010481599,0.0015632706,0.00012665753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044353837,0.001073451,0.0004363084,0.002018792,0.0006004914,0.0026245608,0.0017993513,0.0015613523,0.010755296],"category_scores_gemma":[0.024046903,0.00067884877,0.001651651,0.0012477558,0.0008823743,0.0027985906,0.0017821022,0.0016448755,0.0051826206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028529819,0.00051779277,0.0013780241,0.0025243654,0.00014024539,0.0020140915,0.0041041393,0.09665498,0.04774699,0.46630144,0.075418994,0.30291364],"study_design_scores_gemma":[0.00019188902,0.00016071461,0.0004404393,0.00073645974,0.00012502377,0.001029653,0.0007894364,0.47983342,0.04323742,0.19686355,0.27646378,0.00012831787],"about_ca_topic_score_codex":0.0021884025,"about_ca_topic_score_gemma":0.0036943743,"teacher_disagreement_score":0.010755296,"about_ca_system_score_codex":0.0009938868,"about_ca_system_score_gemma":0.0022076902,"threshold_uncertainty_score":0.035980046},"labels":[],"label_agreement":null},{"id":"W6920507886","doi":"10.60692/psvm4-gx848","title":"Multiagent Semantical Annotation Enhancement Model for IoT-Based Energy-Aware Data","year":2016,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"College of the North Atlantic","funders":"","keywords":"Semantic Web; Focus (optics); Sorting; Representation (politics); The Internet; Annotation; Semantic data model; Resource (disambiguation); Information extraction; Knowledge representation and reasoning","score_opus":0.09995145587973384,"score_gpt":0.2591397832147067,"score_spread":0.15918832733497287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920507886","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0108566,0.00013122761,0.9690452,0.0009759182,0.00009254685,0.00016549254,0.00017919966,0.00073403225,0.017819779],"genre_scores_gemma":[0.45438942,0.00038142505,0.5216923,0.00028454512,0.00008212193,0.0005857317,0.0007704969,0.00017831477,0.021635665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990804,0.00024408782,0.00010077365,0.00024016543,0.00026887047,0.00006559968],"domain_scores_gemma":[0.99933296,0.00020630079,0.00008531946,0.00011093065,0.0002050046,0.000059503313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015787851,0.00043716477,0.0003922545,0.001012862,0.0010608091,0.00231395,0.0017669431,0.0009836681,0.0034424213],"category_scores_gemma":[0.002214741,0.00028542624,0.001128817,0.0009298575,0.0011315127,0.003836177,0.0022171563,0.0010142786,0.0007246513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015816078,0.00024813035,0.002979392,0.0002318233,0.000107717,0.0011308347,0.0021046926,0.1687637,0.006943314,0.7335064,0.0059214756,0.07790424],"study_design_scores_gemma":[0.000021085165,0.000041323598,0.0005020178,0.00003977877,0.00007733868,0.00018743191,0.00031235375,0.865254,0.0028783912,0.09880221,0.031856984,0.000027073962],"about_ca_topic_score_codex":0.008622006,"about_ca_topic_score_gemma":0.010540563,"teacher_disagreement_score":0.008622006,"about_ca_system_score_codex":0.0016068071,"about_ca_system_score_gemma":0.001619487,"threshold_uncertainty_score":0.017143607},"labels":[],"label_agreement":null},{"id":"W6926859700","doi":"10.25549/impa-m68302","title":"Missionary sisters and orphans preparing fish, Canada, ca.1920-1940","year":2012,"lang":"fr","type":"dataset","venue":"University of Southern California Digital Library","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Fish <Actinopterygii>; Christianity","score_opus":0.01048673815315427,"score_gpt":0.1646110141915636,"score_spread":0.15412427603840934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926859700","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001222023,0.00021346257,0.000042338343,0.00012115625,0.000028332981,0.000010433723,0.9939978,0.00013422109,0.0042301742],"genre_scores_gemma":[0.0031910157,0.00030693025,0.00017521698,0.000031556996,0.000007098385,0.00001897575,0.99000156,0.00003178282,0.006235848],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992854,0.000021085327,0.000046138382,0.00015017738,0.00026826016,0.00022904054],"domain_scores_gemma":[0.9982162,0.00011223576,0.00013342862,0.00015802516,0.0010646551,0.00031538235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039823528,0.0016018746,0.000864455,0.005751558,0.002732393,0.0030195063,0.0019118647,0.00079053466,0.022277407],"category_scores_gemma":[0.0025051974,0.00047253905,0.000648848,0.016201785,0.0007138552,0.0010129305,0.0012963063,0.0014794864,0.01750034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006476002,0.000016203889,0.0051945667,0.00024517352,0.000018885476,0.00005870745,0.00014531093,0.00017312028,0.00007374562,0.0007526222,0.9868379,0.006419067],"study_design_scores_gemma":[0.000050665967,0.0000063559755,0.06436178,0.00026556136,0.000022335726,0.00008047048,0.0011557013,0.00036229752,0.0003792765,0.00038412,0.93290013,0.000031358482],"about_ca_topic_score_codex":0.9758715,"about_ca_topic_score_gemma":0.9928895,"teacher_disagreement_score":0.024128497,"about_ca_system_score_codex":0.016405895,"about_ca_system_score_gemma":0.026690274,"threshold_uncertainty_score":0.119033635},"labels":[],"label_agreement":null},{"id":"W6950176815","doi":"10.5281/zenodo.4916298","title":"D4.2 – Initial report on ontology implementation","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prairie Improvement Network","funders":"","keywords":"Deliverable; Ontology; Task (project management); Work (physics); Excavation; Data integration","score_opus":0.08010131957392493,"score_gpt":0.31575088269909324,"score_spread":0.23564956312516833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950176815","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02659335,0.0016105641,0.4708777,0.00653178,0.0033835666,0.0082982145,0.10039535,0.069089115,0.31322044],"genre_scores_gemma":[0.040396366,0.0022369593,0.42493212,0.0017807801,0.00037456714,0.006874279,0.28513587,0.032752514,0.20551649],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9844752,0.0028244539,0.0012569185,0.0013058721,0.0090506645,0.0010869085],"domain_scores_gemma":[0.9778832,0.0028083522,0.00050739286,0.0058686975,0.011853303,0.0010789334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018377446,0.0011240115,0.00084016134,0.0027426328,0.0014303385,0.0070383525,0.0036666894,0.0015904398,0.06610043],"category_scores_gemma":[0.039360214,0.001230053,0.0017023772,0.002372588,0.0006148993,0.0065949867,0.007568099,0.0037680366,0.07256449],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005747156,0.00079291273,0.0030378469,0.002402437,0.0001153101,0.00077237777,0.0047754524,0.0039398083,0.03618782,0.035816338,0.4539035,0.4576814],"study_design_scores_gemma":[0.000040102794,0.000104702274,0.0012359831,0.00024035003,0.000025487727,0.00013380175,0.0005250664,0.0009943305,0.0127487015,0.0024773988,0.98141885,0.00005526385],"about_ca_topic_score_codex":0.021078037,"about_ca_topic_score_gemma":0.011091981,"teacher_disagreement_score":0.06610043,"about_ca_system_score_codex":0.0047986703,"about_ca_system_score_gemma":0.010783749,"threshold_uncertainty_score":0.22112799},"labels":[],"label_agreement":null},{"id":"W6950255978","doi":"10.5281/zenodo.5095466","title":"RDF graphs in VIVO : are we using them optimally?","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thales (Canada)","funders":"","keywords":"RDF; Graph; SPARQL; Linked data; Semantic Web; Directed graph","score_opus":0.0895383821473752,"score_gpt":0.2666951333261581,"score_spread":0.17715675117878288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950255978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008390536,0.0029124483,0.87083054,0.051925637,0.0012711796,0.00035795654,0.0044747405,0.026241817,0.03359514],"genre_scores_gemma":[0.062173393,0.0026829555,0.90110123,0.00837404,0.00042862794,0.00026158505,0.00653891,0.0106107835,0.0078283725],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9861093,0.008438972,0.00079169957,0.0018806659,0.0022566484,0.0005226872],"domain_scores_gemma":[0.9566711,0.017348045,0.0011890933,0.019731367,0.003735642,0.0013246963],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.023233375,0.0014309931,0.0014233163,0.0025194162,0.0024954479,0.013189745,0.0032484129,0.0031658902,0.02053191],"category_scores_gemma":[0.07055084,0.0019631388,0.002174574,0.0029742406,0.004722621,0.05731145,0.0066928226,0.0061385366,0.010306515],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005010196,0.00026205834,0.0028325187,0.00073577504,0.00016948246,0.00024093254,0.001742145,0.0052318405,0.0043460126,0.46929133,0.20025781,0.31438908],"study_design_scores_gemma":[0.000056721674,0.000042548654,0.00035420898,0.00042748096,0.000068230365,0.00030427374,0.001635656,0.012954796,0.0056820996,0.542592,0.4358003,0.00008173172],"about_ca_topic_score_codex":0.005285025,"about_ca_topic_score_gemma":0.009963522,"teacher_disagreement_score":0.97676665,"about_ca_system_score_codex":0.0019704557,"about_ca_system_score_gemma":0.0038383682,"threshold_uncertainty_score":0.12287128},"labels":[],"label_agreement":null},{"id":"W6958417152","doi":"10.6084/m9.figshare.7159262.v1","title":"Additional file 1: of An exploratory analysis of missing data from the Royal Bank of Canada (RBC) Learn to Play – Canadian Assessment of Physical Literacy (CAPL) project","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Missing data; Exploratory analysis; Literacy; Protocol (science); Data collection; Exploratory data analysis","score_opus":0.0657671720600075,"score_gpt":0.30979294644057376,"score_spread":0.24402577438056627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958417152","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005350703,0.000014216559,0.0003298196,0.000115191535,0.000016154503,0.00023541467,0.9974733,0.00012544234,0.0011553376],"genre_scores_gemma":[0.025635682,0.00020516229,0.013912172,0.00057967135,0.000060933628,0.00897539,0.9316355,0.0011409107,0.017854571],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9971097,0.0007193931,0.00039107798,0.00036359794,0.0010255673,0.000390675],"domain_scores_gemma":[0.9081668,0.06893567,0.0022884835,0.0032655392,0.016234335,0.0011092001],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005786421,0.0011177112,0.0012831033,0.0071619744,0.0025843605,0.0022427859,0.0021188678,0.0010281673,0.68100643],"category_scores_gemma":[0.08434725,0.00076815306,0.0012729148,0.009338864,0.0006089325,0.0016637065,0.0017443597,0.0010437205,0.05774207],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017332494,0.00004725236,0.0045465543,0.0017731641,0.00004293806,0.00008077233,0.00064103235,0.00035391585,0.00004893827,0.0006006261,0.9815657,0.01012576],"study_design_scores_gemma":[0.0014706264,0.0001533107,0.09312497,0.008197557,0.00033904743,0.00047196387,0.008693518,0.0023284308,0.0008146654,0.005237503,0.8788023,0.00036616946],"about_ca_topic_score_codex":0.426385,"about_ca_topic_score_gemma":0.5432575,"teacher_disagreement_score":0.68100643,"about_ca_system_score_codex":0.0064967526,"about_ca_system_score_gemma":0.019180803,"threshold_uncertainty_score":0.84780633},"labels":[],"label_agreement":null},{"id":"W6968899724","doi":"10.5281/zenodo.6512634","title":"Why FRBRoo and CIDOC CRM are great for expressing (Linked, Open) Ethnographic Research Data","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Metadata; Ethnography; Process (computing); Notation; Linked data; Research data; Data collection","score_opus":0.33679079294971337,"score_gpt":0.36336559701856064,"score_spread":0.02657480406884727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968899724","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037096635,0.0031567123,0.7908017,0.08651798,0.0023876997,0.0011152473,0.003464189,0.0064966893,0.06896313],"genre_scores_gemma":[0.17137007,0.0022044391,0.7944467,0.012379736,0.00068117,0.0017654301,0.004006235,0.0025340654,0.01061211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9498698,0.02535111,0.0050132866,0.004401522,0.012696249,0.0026679428],"domain_scores_gemma":[0.8594642,0.046265263,0.0065224925,0.06505054,0.018656362,0.0040411362],"candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.10302018,0.0009326347,0.0017146188,0.008488558,0.006265302,0.030605625,0.005107816,0.005363975,0.0050895317],"category_scores_gemma":[0.14894822,0.0019830395,0.0023363826,0.013874689,0.016725928,0.06044092,0.014424277,0.006779874,0.0027476756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002169233,0.000083357634,0.0046524005,0.0006152603,0.00008506829,0.00019086248,0.009821733,0.0011448703,0.0016364225,0.88039196,0.023183195,0.07797788],"study_design_scores_gemma":[0.00012574822,0.00007268004,0.0030075684,0.00153525,0.00010587962,0.0005960507,0.012141581,0.0056693577,0.0039334456,0.43420976,0.5383048,0.00029784665],"about_ca_topic_score_codex":0.03776986,"about_ca_topic_score_gemma":0.030555591,"teacher_disagreement_score":0.9948922,"about_ca_system_score_codex":0.010233338,"about_ca_system_score_gemma":0.012632506,"threshold_uncertainty_score":0.54482925},"labels":[],"label_agreement":null},{"id":"W6969073541","doi":"10.5281/zenodo.5930931","title":"SchlossLab/mikropml: mikropml 1.2.1","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Feature (linguistics); Set (abstract data type); Group (periodic table); Permutation (music); Noise (video)","score_opus":0.032746713337595136,"score_gpt":0.2400384675884734,"score_spread":0.20729175425087826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969073541","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00063083513,0.0002899594,0.032749414,0.0003440886,0.00031139475,0.00011057284,0.14276154,0.81121874,0.011583398],"genre_scores_gemma":[0.0075165196,0.0002773676,0.039781027,0.000664307,0.00009453702,0.0006718319,0.28538322,0.6526668,0.012944393],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966253,0.00053144287,0.00033143305,0.000737304,0.0014172331,0.00035724434],"domain_scores_gemma":[0.9943482,0.0023716968,0.00029703305,0.001736109,0.0009500001,0.00029696224],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034762693,0.0063424637,0.0028385576,0.004786714,0.0014859778,0.0064404355,0.009003497,0.0037406944,0.47753984],"category_scores_gemma":[0.022410847,0.0040607178,0.0031449697,0.0038068532,0.0010112012,0.0075069885,0.006248873,0.0049044047,0.40711215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020763048,0.000041738745,0.00040597018,0.0009187623,0.000056719775,0.00007900057,0.000092313036,0.0009700067,0.0008440538,0.0024999282,0.97161824,0.022265574],"study_design_scores_gemma":[0.00029207303,0.00006473016,0.0010435157,0.00032183054,0.000056401004,0.00027215586,0.000082358165,0.008002549,0.00912848,0.01481958,0.9657431,0.00017327907],"about_ca_topic_score_codex":0.0049710535,"about_ca_topic_score_gemma":0.0070668263,"teacher_disagreement_score":0.47753984,"about_ca_system_score_codex":0.0020920439,"about_ca_system_score_gemma":0.0020579982,"threshold_uncertainty_score":0.745226},"labels":[],"label_agreement":null},{"id":"W6977132483","doi":"10.6084/m9.figshare.14987064.v1","title":"Effectiveness of multimodal nutrition interventions during pregnancy to achieve 2009 Institute of Medicine gestational weight gain guidelines: a systematic review and meta-analysis","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Weight gain; Psychological intervention; Pregnancy; Overweight; Systematic review; Gestation; Meta-analysis; Randomized controlled trial","score_opus":0.12227971534034278,"score_gpt":0.36512002235050783,"score_spread":0.24284030701016507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977132483","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003160814,0.9951324,0.00040618316,0.0002102542,0.00013089537,0.00051907613,0.00023824922,0.000017426672,0.00018469068],"genre_scores_gemma":[0.13249446,0.8578842,0.0038072006,0.001196686,0.00027414612,0.0033814262,0.0006611199,0.000027627404,0.0002731354],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98192143,0.008942567,0.005210759,0.0013688424,0.0020721767,0.0004841217],"domain_scores_gemma":[0.97701025,0.01700971,0.003429005,0.000646197,0.0016434229,0.00026157545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02429127,0.003043613,0.021469185,0.0067312988,0.000716201,0.0036576095,0.002385797,0.002551729,0.0029346112],"category_scores_gemma":[0.056836314,0.0016887424,0.04350871,0.0061075226,0.00089843577,0.0025460059,0.0018819412,0.0027930138,0.00029160792],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003336664,0.00005232805,0.0021410359,0.47150528,0.5043838,0.0000779236,0.0001065517,0.00042626163,0.00015933735,0.00015292328,0.00053945114,0.017118419],"study_design_scores_gemma":[0.00155094,0.00036980244,0.002914836,0.052968584,0.940122,0.000060325914,0.000053407734,0.0001957294,0.0001295967,0.00020166674,0.0014067985,0.000026382402],"about_ca_topic_score_codex":0.01095442,"about_ca_topic_score_gemma":0.021983888,"teacher_disagreement_score":0.02429127,"about_ca_system_score_codex":0.0057907263,"about_ca_system_score_gemma":0.0069321166,"threshold_uncertainty_score":0.12846601},"labels":[],"label_agreement":null},{"id":"W6987750252","doi":"","title":"Towards a concurrent implementation of keyword search over relational databases.","year":2014,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Keyword search; Relational database; Lossless compression; Query language; Schema (genetic algorithms); Graph; Graph database; Web search query; Entity–relationship model; RDF query language","score_opus":0.03147971797170079,"score_gpt":0.2811533125103579,"score_spread":0.24967359453865712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987750252","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008160921,0.00027065017,0.9822243,0.00025746116,0.00006224669,0.0001519225,0.00008439697,0.0066433297,0.0021447323],"genre_scores_gemma":[0.101422355,0.0002924915,0.89423954,0.00018768343,0.000057675785,0.00022504556,0.00040769766,0.0007530161,0.002414566],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99452055,0.001284803,0.00049773935,0.0009518108,0.0023493513,0.00039581006],"domain_scores_gemma":[0.98969674,0.00269626,0.0005349264,0.004353075,0.0022991786,0.00041975165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062096906,0.0008278318,0.0009264784,0.0013618966,0.0011017686,0.0045385263,0.0043214657,0.0010377577,0.0030103964],"category_scores_gemma":[0.016806027,0.0011618889,0.0012272601,0.0023033076,0.002176607,0.009101424,0.004786589,0.0027310161,0.0015363736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017728105,0.0008017881,0.0057499735,0.0007931743,0.00030825488,0.00066117407,0.0028883305,0.039284926,0.052314628,0.41410446,0.016563319,0.46475714],"study_design_scores_gemma":[0.00034200796,0.00024968383,0.00067545887,0.00011890082,0.00023265979,0.00049581996,0.0005911696,0.53098416,0.038742803,0.37704524,0.050428994,0.00009304603],"about_ca_topic_score_codex":0.007927303,"about_ca_topic_score_gemma":0.008896836,"teacher_disagreement_score":0.007927303,"about_ca_system_score_codex":0.0015637529,"about_ca_system_score_gemma":0.00416156,"threshold_uncertainty_score":0.03284037},"labels":[],"label_agreement":null},{"id":"W6989648269","doi":"","title":"Business Agents and the Semantic Web (BASeWEB'04)","year":2004,"lang":"fr","type":"article","venue":"NPARC","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"","score_opus":0.031137425626334817,"score_gpt":0.25125719660319434,"score_spread":0.22011977097685953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989648269","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009561031,0.11841458,0.1969154,0.11863785,0.05019409,0.00037400797,0.010221699,0.0086853085,0.48699594],"genre_scores_gemma":[0.07192603,0.08402095,0.11472606,0.010242433,0.01067511,0.00029410425,0.02104819,0.0031207746,0.6839464],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987986,0.0002812388,0.000058693822,0.00016660577,0.00056756544,0.0001272273],"domain_scores_gemma":[0.99779165,0.00066631334,0.00012720659,0.0003897621,0.0006922311,0.0003328526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003412263,0.00065208715,0.0010601176,0.0025025774,0.0020796747,0.013336043,0.0014844666,0.0033282326,0.054550536],"category_scores_gemma":[0.0047514774,0.0011103817,0.00058280333,0.005628976,0.0016936298,0.013057014,0.0024408149,0.0036030589,0.026277877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016011401,0.00016662058,0.00047485888,0.00039465367,0.00005149761,0.00013849646,0.000244703,0.0007344833,0.0009117294,0.15322487,0.67022294,0.17327505],"study_design_scores_gemma":[0.000032695032,0.000022319944,0.00072255573,0.00039773915,0.000043269167,0.00013530665,0.00015078172,0.0018865485,0.0016233422,0.08890942,0.90604746,0.000028470564],"about_ca_topic_score_codex":0.016760482,"about_ca_topic_score_gemma":0.017718289,"teacher_disagreement_score":0.054550536,"about_ca_system_score_codex":0.0025519477,"about_ca_system_score_gemma":0.0040238746,"threshold_uncertainty_score":0.1824897},"labels":[],"label_agreement":null},{"id":"W6999084051","doi":"","title":"Building a specialized ontology: Why go on the web?","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unified Medical Language System; Domain (mathematical analysis); Semantics (computer science); Recall; Measure (data warehouse); Precision and recall; Semantic similarity; Medical information","score_opus":0.045537402296472615,"score_gpt":0.26439765738497745,"score_spread":0.21886025508850482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999084051","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24956004,0.02048525,0.4327866,0.13904211,0.0013136442,0.0005519444,0.0017825692,0.002739029,0.15173881],"genre_scores_gemma":[0.68515515,0.014025261,0.26714605,0.01583773,0.0005603275,0.0003660831,0.0037600442,0.001187147,0.011962338],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9933575,0.0026803375,0.0004490476,0.00062547246,0.002357885,0.0005297213],"domain_scores_gemma":[0.9819417,0.006504455,0.0011904676,0.005187052,0.004147288,0.001029005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010452156,0.0004225014,0.001050564,0.006969209,0.0034737545,0.009373514,0.0015085211,0.003103536,0.0042260718],"category_scores_gemma":[0.029439067,0.00047829407,0.00091368955,0.009717755,0.005833168,0.047959037,0.0046069105,0.0025445265,0.0022445738],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016447282,0.0002591221,0.020867454,0.0010854844,0.00020763045,0.0007599545,0.010748301,0.0021727553,0.0029001902,0.40776598,0.030456001,0.52261263],"study_design_scores_gemma":[0.000029964696,0.00005552988,0.0069770645,0.0011868279,0.00011740148,0.0008861671,0.018430319,0.0070682205,0.0029677504,0.73922986,0.22297885,0.00007205872],"about_ca_topic_score_codex":0.006755921,"about_ca_topic_score_gemma":0.0067432174,"teacher_disagreement_score":0.010452156,"about_ca_system_score_codex":0.0019659868,"about_ca_system_score_gemma":0.0039453935,"threshold_uncertainty_score":0.05527693},"labels":[],"label_agreement":null},{"id":"W6999974624","doi":"","title":"Duluth: an ontological data management system","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"","score_opus":0.056755050037724894,"score_gpt":0.2766186198232932,"score_spread":0.2198635697855683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999974624","genre_codex":"software","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010611997,0.0012956873,0.38954872,0.002875587,0.00061460305,0.0015328947,0.066061676,0.4410956,0.08636324],"genre_scores_gemma":[0.07852416,0.0025678214,0.55426884,0.0036799961,0.00034406126,0.0014777166,0.21078466,0.0352469,0.11310583],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980996,0.00027169683,0.00033620736,0.0003426195,0.00078302843,0.00016681656],"domain_scores_gemma":[0.9978429,0.00044849532,0.00016868339,0.0009108634,0.0004145369,0.00021448356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027090257,0.001207226,0.0012576184,0.006660493,0.0018780543,0.00617665,0.003847932,0.0010317694,0.02440149],"category_scores_gemma":[0.007838226,0.0011868435,0.0010467531,0.004943534,0.0012542974,0.008670115,0.0053856275,0.002108004,0.014804313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005001503,0.00019279285,0.0023905162,0.0014115154,0.00023996891,0.00092466205,0.0011415435,0.0026520425,0.013128177,0.096201584,0.5116775,0.36953953],"study_design_scores_gemma":[0.00014444481,0.000029969005,0.001154826,0.00040384976,0.00014651899,0.00027624136,0.00027451987,0.012151607,0.008257721,0.037651572,0.93933994,0.00016878745],"about_ca_topic_score_codex":0.033165585,"about_ca_topic_score_gemma":0.04947931,"teacher_disagreement_score":0.033165585,"about_ca_system_score_codex":0.0027753857,"about_ca_system_score_gemma":0.0049948543,"threshold_uncertainty_score":0.081631124},"labels":[],"label_agreement":null},{"id":"W7005859902","doi":"","title":"Semantic web innovations for higher education","year":2023,"lang":"en","type":"article","venue":"R-libre (Université Téluq)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social Semantic Web; Semantic Web; Exploit; Semantic Web Stack; Personalization; Ontology; Web intelligence; Web standards; Semantic analytics; Data Web","score_opus":0.028506521803143996,"score_gpt":0.24924729853267846,"score_spread":0.22074077672953446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7005859902","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053249993,0.10414075,0.10929972,0.20103875,0.0070251054,0.00014533509,0.0005959642,0.0011370626,0.57129234],"genre_scores_gemma":[0.3969785,0.14729065,0.1656617,0.041988634,0.009295885,0.00054727384,0.00181798,0.00061308534,0.23580636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968665,0.0013300655,0.00016496475,0.0003068363,0.0010694116,0.0002621748],"domain_scores_gemma":[0.99762076,0.0009202154,0.00016501684,0.0004795214,0.0004530865,0.00036130717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005191966,0.0006042306,0.000555436,0.0025040063,0.0020188456,0.008060847,0.0011634745,0.0041809655,0.011953537],"category_scores_gemma":[0.004550373,0.00024814042,0.00063851196,0.0037385733,0.007446296,0.014929234,0.0050287503,0.004369004,0.0028828622],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064984415,0.000014350138,0.000068266134,0.0000969205,0.000006502037,0.000035238994,0.00026336304,0.0002346811,0.000081736915,0.94775724,0.016957268,0.034477837],"study_design_scores_gemma":[0.000004911007,0.0000065078584,0.00010514987,0.00020206334,0.0000031992486,0.000050905768,0.0003269305,0.00035613702,0.00011347683,0.5366323,0.4621912,0.0000071571635],"about_ca_topic_score_codex":0.00537657,"about_ca_topic_score_gemma":0.0046575502,"teacher_disagreement_score":0.011953537,"about_ca_system_score_codex":0.007261385,"about_ca_system_score_gemma":0.0069999034,"threshold_uncertainty_score":0.05268526},"labels":[],"label_agreement":null},{"id":"W70090750","doi":"10.1007/978-3-319-01790-7_22","title":"Kinds of Full Physical Containment","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Containment (computer programming); Ontology; Situated; Relation (database); Taxonomy (biology); Computer science; Physical space; Space (punctuation); Artificial intelligence; Epistemology; Geography; Data mining; Cartography; Ecology; Philosophy; Biology","score_opus":0.01566630197405356,"score_gpt":0.24283130832020877,"score_spread":0.22716500634615522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70090750","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0215188,0.0046203528,0.24420328,0.0030153145,0.0010687022,0.0000712429,0.00088608335,0.0010224476,0.72359383],"genre_scores_gemma":[0.7985784,0.0038928948,0.10133147,0.0015932589,0.0010464014,0.0002795178,0.002138092,0.0011497454,0.08999036],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99808407,0.00044884978,0.00015685809,0.0005048082,0.0005871639,0.00021829738],"domain_scores_gemma":[0.9979442,0.0007337232,0.00008539734,0.0008416191,0.00031001263,0.000085044696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011733046,0.0006651718,0.00078654767,0.0021711055,0.0026911881,0.004769352,0.001485467,0.0019148745,0.01634541],"category_scores_gemma":[0.0046810093,0.0011154148,0.001076109,0.0022459326,0.0082862,0.017525906,0.0049322764,0.003360361,0.0026031048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048168595,0.0000022818142,0.00002061008,0.000021521066,0.0000019050603,0.00002095024,0.00017470501,0.00006289164,0.00010849481,0.9940685,0.0016505048,0.0038627249],"study_design_scores_gemma":[0.0000035247062,0.000002683714,0.000051081533,0.000027069033,0.000005466236,0.00013628212,0.00010027725,0.00035599546,0.000255736,0.96845275,0.030602828,0.0000063733496],"about_ca_topic_score_codex":0.0008834431,"about_ca_topic_score_gemma":0.00081842,"teacher_disagreement_score":0.01634541,"about_ca_system_score_codex":0.0013367878,"about_ca_system_score_gemma":0.0005667968,"threshold_uncertainty_score":0.054680824},"labels":[],"label_agreement":null},{"id":"W7023130310","doi":"","title":"Canada fall in","year":2018,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.008022844490411902,"score_gpt":0.14192946419588012,"score_spread":0.13390661970546822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7023130310","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011959781,0.0007747722,0.00019758412,0.0036426224,0.0021283543,0.000055129432,0.004779202,0.00031251516,0.98691374],"genre_scores_gemma":[0.0015194924,0.00018619871,0.00007689016,0.0002609646,0.00003304577,0.000010180128,0.00076711783,0.000080488644,0.9970656],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932194,0.000033168726,0.000015141902,0.00012236265,0.000275395,0.00023202863],"domain_scores_gemma":[0.99893016,0.00004540571,0.00001741727,0.00007495966,0.0005477264,0.00038428055],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005252,0.00088072964,0.0006541184,0.0020485,0.010423571,0.007083743,0.0010710051,0.0020622488,0.6972259],"category_scores_gemma":[0.0013356196,0.00033096297,0.00054647774,0.0027457557,0.0012974457,0.0017238724,0.0031244282,0.0022271867,0.34073368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003872425,0.000023004204,0.0004524874,0.000046955927,0.0000041366848,0.00012598047,0.00014320223,0.00005700995,0.00013255412,0.012874136,0.9597527,0.026349101],"study_design_scores_gemma":[0.0000032139685,0.0000021402584,0.00047717427,0.000029223454,0.0000011688512,0.000010428951,0.00020752683,0.000020235933,0.000044960594,0.0004799956,0.99872154,0.000002373145],"about_ca_topic_score_codex":0.6474539,"about_ca_topic_score_gemma":0.89767677,"teacher_disagreement_score":0.6474539,"about_ca_system_score_codex":0.0111046415,"about_ca_system_score_gemma":0.023289008,"threshold_uncertainty_score":0.7092446},"labels":[],"label_agreement":null},{"id":"W70254955","doi":"","title":"Future Research Directions for Software Engineering and Knowledge Engineering.","year":2010,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Software engineering; Social software engineering; Software Engineering Process Group; Knowledge engineering; Systems engineering; Software; Engineering; Software development; Software construction; Knowledge management; Programming language","score_opus":0.01775389109694157,"score_gpt":0.2722617167742752,"score_spread":0.2545078256773336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70254955","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005915729,0.4615524,0.09044711,0.29357842,0.0057416796,0.00011326699,0.00041722538,0.0007327406,0.14150132],"genre_scores_gemma":[0.22218126,0.5141183,0.18470545,0.029546278,0.009507053,0.0006439537,0.0015459551,0.00025586432,0.037495997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99658173,0.001798356,0.00019105947,0.00039038216,0.00073167414,0.00030682617],"domain_scores_gemma":[0.97280335,0.01790096,0.0008313616,0.0016534192,0.0047055823,0.0021053317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011438282,0.00088996853,0.0012555562,0.003439086,0.001884346,0.008279668,0.0031594574,0.005784443,0.034161497],"category_scores_gemma":[0.015590124,0.00045663113,0.0010309814,0.0040451773,0.0061615705,0.02497043,0.0031310057,0.004632186,0.005698116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121609766,0.0003298919,0.0010942969,0.0016351951,0.00007558725,0.0001447835,0.00070359686,0.0009719257,0.00042250386,0.7360442,0.050394207,0.20806211],"study_design_scores_gemma":[0.000031403426,0.00006007506,0.00055913837,0.0010738487,0.000036063382,0.0001868803,0.0027536522,0.0020627384,0.00022816703,0.81373405,0.17924467,0.00002924398],"about_ca_topic_score_codex":0.0044893734,"about_ca_topic_score_gemma":0.006362316,"teacher_disagreement_score":0.034161497,"about_ca_system_score_codex":0.003687138,"about_ca_system_score_gemma":0.0067430898,"threshold_uncertainty_score":0.114281654},"labels":[],"label_agreement":null},{"id":"W7029184434","doi":"","title":"How to create easily a data analytic semantic portal on top of a SPARQL endpoint: introducing the configurable Sampo-UI framework","year":2023,"lang":"en","type":"article","venue":"Aaltodoc (Aalto University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Jenny ja Antti Wihurin Rahasto; China Scholarship Council; Suomen Kulttuurirahasto","keywords":"SPARQL; Semantics (computer science); RDF; Semantic Web; Ontology; Linked data; Process (computing)","score_opus":0.04731378183356409,"score_gpt":0.2557365265436477,"score_spread":0.2084227447100836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029184434","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061297733,0.00021734378,0.9180704,0.0017742289,0.0004257126,0.00040558568,0.001258508,0.06265293,0.009065601],"genre_scores_gemma":[0.08957776,0.00044154347,0.8694102,0.0012937097,0.00013249613,0.0004382258,0.005117109,0.02406324,0.00952569],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99506027,0.0012584527,0.00055267225,0.00087400555,0.0017516298,0.00050291925],"domain_scores_gemma":[0.991886,0.0015324481,0.0002414213,0.004609624,0.0009824943,0.0007480021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012791825,0.0012409231,0.001226556,0.002028616,0.0013445485,0.010734874,0.0035985538,0.0026541057,0.011533933],"category_scores_gemma":[0.016394118,0.001669154,0.0022184576,0.0015762856,0.0017930561,0.014438595,0.010631631,0.0049882918,0.0091480985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019017481,0.0009771192,0.008744086,0.001724893,0.0007021641,0.0023952965,0.0062288344,0.00892899,0.07072457,0.26936164,0.16813774,0.46017292],"study_design_scores_gemma":[0.000379204,0.00023057117,0.0025529559,0.00076143554,0.00022339541,0.0013777425,0.0014831139,0.077633224,0.06415265,0.22480683,0.6259383,0.00046059623],"about_ca_topic_score_codex":0.002594168,"about_ca_topic_score_gemma":0.0029878686,"teacher_disagreement_score":0.012791825,"about_ca_system_score_codex":0.00080264057,"about_ca_system_score_gemma":0.002026444,"threshold_uncertainty_score":0.06765044},"labels":[],"label_agreement":null},{"id":"W7032995351","doi":"","title":"Positive and negative effects of CSR : the case of disabled workers integration in the portuguese context","year":2020,"lang":"en","type":"dissertation","venue":"Repositório Institucional da Universidade Católica Portuguesa (Universidade Católica Portuguesa)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Nucleofection; Hyporeflexia; TSG101; Circumstantial evidence; Demotion; Tubulopathy","score_opus":0.01328162141691349,"score_gpt":0.2407028068325466,"score_spread":0.2274211854156331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7032995351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96080536,0.0007206293,0.0004239271,0.007128919,0.00006339994,0.000025563222,0.000022053104,0.000005816581,0.030804273],"genre_scores_gemma":[0.99701095,0.00043554118,0.00012575614,0.00036977758,0.000014597048,0.00001023695,0.0000073068495,0.000004461747,0.0020213888],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9960037,0.0021478098,0.0000947199,0.00017957545,0.0004222739,0.0011518005],"domain_scores_gemma":[0.99649554,0.0017508806,0.00055475935,0.0001794193,0.00024163061,0.0007777919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037420823,0.0004229683,0.00044606463,0.001773703,0.016424434,0.005015333,0.0009424475,0.0030569737,0.0033027204],"category_scores_gemma":[0.0045572384,0.0002393662,0.0006444194,0.0015778549,0.0102049885,0.002409689,0.0073426804,0.0027138805,0.00019933056],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016059814,0.00051097886,0.04051153,0.00024991887,0.000036665326,0.04419525,0.84699047,0.00041171542,0.00096643396,0.03390379,0.002602896,0.029459767],"study_design_scores_gemma":[0.000014790948,0.000062036714,0.015083329,0.00037295654,0.00002741309,0.0053217364,0.94949555,0.00045943176,0.0003003949,0.005927127,0.02290619,0.00002906632],"about_ca_topic_score_codex":0.047726363,"about_ca_topic_score_gemma":0.06930295,"teacher_disagreement_score":0.047726363,"about_ca_system_score_codex":0.0073264707,"about_ca_system_score_gemma":0.0048677246,"threshold_uncertainty_score":0.09489715},"labels":[],"label_agreement":null},{"id":"W7034141793","doi":"","title":"A Social History of Native Residents of Washington, D.C., 1835 to 1973","year":2024,"lang":"en","type":"article","venue":"UNM’s Digital Repository (University of New Mexico)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Capital (architecture); State (computer science); Kinship; Social capital; Social history (medicine); Native american","score_opus":0.023508297519679238,"score_gpt":0.22966011636162423,"score_spread":0.206151818841945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034141793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9090275,0.0033268125,0.00015243683,0.0032691562,0.00017966484,0.000024192585,0.00057713303,0.000014955793,0.083427966],"genre_scores_gemma":[0.9620323,0.0040794895,0.00011835318,0.0005722501,0.000043314612,0.000030190353,0.00027392627,0.000012235778,0.032837834],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9998247,0.00004188074,0.000005567847,0.000031334785,0.000031334515,0.00006520119],"domain_scores_gemma":[0.99977976,0.000049411938,0.00003028758,0.0000113302995,0.0000579887,0.00007117735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025406556,0.00019678478,0.00014092178,0.0011342268,0.0085171,0.0014359738,0.00028110816,0.00037690494,0.0038543805],"category_scores_gemma":[0.000549492,0.00011987317,0.00006582715,0.0020322313,0.0028036146,0.0011941657,0.0015523672,0.0011400849,0.0003552103],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003133606,0.000038826387,0.027386257,0.00011004655,0.000011003118,0.0012060923,0.9046592,0.000050134942,0.00068754796,0.007335374,0.020894986,0.037589163],"study_design_scores_gemma":[0.0000012296832,0.000022420521,0.09690881,0.00020644227,0.0000075839007,0.00035301593,0.56398106,0.000025364188,0.00028004884,0.00040538007,0.3377907,0.000017945744],"about_ca_topic_score_codex":0.55494946,"about_ca_topic_score_gemma":0.7899849,"teacher_disagreement_score":0.55494946,"about_ca_system_score_codex":0.0068626017,"about_ca_system_score_gemma":0.0033045497,"threshold_uncertainty_score":0.89534307},"labels":[],"label_agreement":null},{"id":"W7034541541","doi":"","title":"A War Worth Remembering: South African War Commemorations in London, Ontario, 1902-1917","year":2025,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Infantry; Spanish Civil War; British Empire; Empire; Subject (documents); Identity (music); Order (exchange); Imperial unit system","score_opus":0.07603952840060704,"score_gpt":0.2926074318230663,"score_spread":0.21656790342245927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034541541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79716355,0.009387386,0.000152782,0.01749426,0.0008388558,0.00012487127,0.0011460126,0.000020143802,0.17367226],"genre_scores_gemma":[0.83571535,0.0057594716,0.00012615831,0.0018707736,0.00011983472,0.00007354805,0.00032679626,0.00005897591,0.15594909],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9989335,0.0001190751,0.000027311504,0.00007771692,0.00025446332,0.00058801234],"domain_scores_gemma":[0.99890304,0.00013041798,0.00018398794,0.000030742838,0.00022500493,0.0005267753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000580732,0.0003872976,0.0003197747,0.0011618541,0.026720118,0.0036103413,0.0008519868,0.0013115797,0.0121814],"category_scores_gemma":[0.0014641226,0.00042082526,0.00019101723,0.0030748567,0.00605894,0.001711362,0.004005095,0.0024772203,0.0011767144],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013659545,0.000026128735,0.015143867,0.00026418528,0.000013582806,0.0033999465,0.93114316,0.000045105222,0.0010603844,0.0073174476,0.030410588,0.0110390475],"study_design_scores_gemma":[0.0000060275765,0.000014771389,0.05221727,0.00023595488,0.000005160771,0.00022921366,0.6251563,0.000009728122,0.00019383941,0.0001443771,0.32176864,0.000018736502],"about_ca_topic_score_codex":0.9413806,"about_ca_topic_score_gemma":0.9916712,"teacher_disagreement_score":0.05861938,"about_ca_system_score_codex":0.05401385,"about_ca_system_score_gemma":0.038170327,"threshold_uncertainty_score":0.3918997},"labels":[],"label_agreement":null},{"id":"W7034831605","doi":"","title":"User education for the Caribbean Information System","year":2020,"lang":"en","type":"other","venue":"DIGITAL REPOSITORY Economic Commission for Latin America and the Caribbean (United Nations)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Information system; The Internet; Information technology; Field (mathematics); User interface; Management information systems","score_opus":0.008848277096972544,"score_gpt":0.21667966875244343,"score_spread":0.20783139165547088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034831605","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030770877,0.00071812974,0.0024107604,0.007798518,0.00019356183,0.00012234153,0.008862823,0.00515708,0.9716598],"genre_scores_gemma":[0.030088155,0.0022123095,0.007748821,0.0016940581,0.00019519168,0.00028762248,0.023241455,0.003454916,0.9310775],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990478,0.00022709991,0.000049679187,0.00006327699,0.00039716883,0.00021498474],"domain_scores_gemma":[0.9952992,0.000996778,0.000109768516,0.00066553627,0.0014434449,0.0014852623],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00215765,0.00039316496,0.00039983238,0.0028514941,0.0025247268,0.0048816726,0.0008648579,0.0017425383,0.32106006],"category_scores_gemma":[0.008294564,0.00024203752,0.00026967603,0.004375437,0.0004885722,0.004496531,0.0031112435,0.0013776382,0.10283988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054003973,0.0000842364,0.00090041856,0.00012515832,0.0000021802384,0.00006594203,0.00043429824,0.00006794176,0.00043793872,0.027621629,0.7817649,0.1884413],"study_design_scores_gemma":[0.000007291098,0.0000046365863,0.0010611304,0.00006539336,0.0000020733683,0.000013560801,0.00013907689,0.00025898573,0.00017974919,0.0010611383,0.99720025,0.0000067505816],"about_ca_topic_score_codex":0.15508004,"about_ca_topic_score_gemma":0.16758664,"teacher_disagreement_score":0.32106006,"about_ca_system_score_codex":0.0038035833,"about_ca_system_score_gemma":0.011280041,"threshold_uncertainty_score":0.9684254},"labels":[],"label_agreement":null},{"id":"W7036863615","doi":"","title":"Clearway Energy (NYSE:CWEN) PT Raised to $17.00 at Royal Bank of Canada","year":2019,"lang":"en","type":"other","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Government (linguistics); Energy policy; Payment","score_opus":0.008375882039385985,"score_gpt":0.20082016291608032,"score_spread":0.19244428087669432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036863615","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029684487,0.00040127884,0.00033817015,0.0030062036,0.00090984337,0.000033788023,0.002148406,0.0008497423,0.9920157],"genre_scores_gemma":[0.00037493012,0.00010225175,0.000058976064,0.000111569185,0.000017030621,0.0000037268796,0.00036331484,0.00015403758,0.9988141],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993413,0.000030138473,0.000018620316,0.00010271849,0.00036182883,0.00014539079],"domain_scores_gemma":[0.99790096,0.00010942271,0.000041812873,0.000129826,0.00094437634,0.00087355654],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006715344,0.00079701695,0.00074410805,0.0015051105,0.0036509722,0.0074403007,0.0009253875,0.0027585076,0.846433],"category_scores_gemma":[0.0024035515,0.00058910885,0.0005640677,0.0017599553,0.0010461744,0.0030792172,0.0030680571,0.002622254,0.7550551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023703411,0.000014451598,0.00009616155,0.000024855914,0.00000146695,0.000027125345,0.000023905433,0.000027016138,0.00010320328,0.0038209916,0.97046185,0.025375286],"study_design_scores_gemma":[0.0000026138734,0.0000036983427,0.0001981231,0.00003284451,7.5421184e-7,0.000011769808,0.000059610236,0.000038886752,0.00004387338,0.00045104776,0.9991524,0.0000043812606],"about_ca_topic_score_codex":0.15125221,"about_ca_topic_score_gemma":0.3848862,"teacher_disagreement_score":0.846433,"about_ca_system_score_codex":0.0051164664,"about_ca_system_score_gemma":0.0091077695,"threshold_uncertainty_score":0.30074364},"labels":[],"label_agreement":null},{"id":"W7037183371","doi":"","title":"Développement et validation d’une situation d’apprentissage et d’évaluation traitant des apprentissages relatifs à l’écologie de 4e secondaire par la pédagogie en plein air","year":2021,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Consonance and dissonance; General partnership","score_opus":0.038676059616429524,"score_gpt":0.27082673959964804,"score_spread":0.2321506799832185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037183371","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8235176,0.0017189614,0.08615111,0.0044057146,0.0006339061,0.009902012,0.0016128724,0.0006646539,0.07139323],"genre_scores_gemma":[0.7869406,0.001289015,0.15296282,0.0010032122,0.00009239208,0.011707903,0.0018258321,0.00021393257,0.04396426],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.95256865,0.024305928,0.002776515,0.0046685855,0.0132003,0.002479953],"domain_scores_gemma":[0.90661514,0.020395588,0.003980299,0.007322315,0.056079853,0.005606851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.050949447,0.0010683179,0.0011094306,0.0029581853,0.0049772584,0.007416944,0.0020969212,0.0021438643,0.008361122],"category_scores_gemma":[0.054408982,0.0009495255,0.0013737803,0.0022369376,0.003901238,0.004070733,0.0052585294,0.0029716995,0.0019744395],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015924765,0.0045687524,0.100204945,0.005802961,0.00041085042,0.0013093508,0.34557143,0.005794132,0.036875777,0.021706484,0.023032438,0.45313033],"study_design_scores_gemma":[0.000497157,0.0057564666,0.3649885,0.004944792,0.00051982905,0.00057809625,0.24497294,0.007985917,0.03303517,0.006408365,0.32963765,0.0006751791],"about_ca_topic_score_codex":0.14184879,"about_ca_topic_score_gemma":0.22918096,"teacher_disagreement_score":0.14184879,"about_ca_system_score_codex":0.020252407,"about_ca_system_score_gemma":0.040675227,"threshold_uncertainty_score":0.28204632},"labels":[],"label_agreement":null},{"id":"W7038509216","doi":"","title":"Instructional Designers and Their Use of Self-Regulated Learning Practices in Higher Education","year":2024,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Instructional design; Higher education; Lifelong learning; Bachelor; Quality (philosophy); Perception; Educational technology; Online learning; Learning sciences","score_opus":0.019403304144521925,"score_gpt":0.2198808926481254,"score_spread":0.20047758850360348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7038509216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87975544,0.0051229955,0.059044603,0.006756108,0.00018931951,0.0005167156,0.000029738341,0.00037322176,0.048211835],"genre_scores_gemma":[0.9744313,0.0009600877,0.01889411,0.0010414425,0.000025969726,0.0002420736,0.000021388147,0.000059930342,0.004323754],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.8843646,0.09758906,0.0040182266,0.0034677652,0.0090882275,0.0014720879],"domain_scores_gemma":[0.82295406,0.12625512,0.019258115,0.011523018,0.01458496,0.0054246034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05834976,0.00044317474,0.00045832226,0.0030624617,0.0043601813,0.010461596,0.0018169009,0.0020021761,0.0010451728],"category_scores_gemma":[0.093852654,0.0009830971,0.0006231017,0.0012487402,0.011668815,0.0038769357,0.0045375465,0.0024251484,0.00046734783],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005924684,0.0003824793,0.06132712,0.0006224487,0.000073010786,0.00039992286,0.8346624,0.00040124677,0.0016318337,0.010567513,0.0015773813,0.08829539],"study_design_scores_gemma":[0.00031394447,0.0015423095,0.06156219,0.0041625286,0.00033967072,0.0036197698,0.58950156,0.0036349474,0.010102734,0.02868214,0.29602194,0.0005162874],"about_ca_topic_score_codex":0.0017569412,"about_ca_topic_score_gemma":0.0027211653,"teacher_disagreement_score":0.05834976,"about_ca_system_score_codex":0.005140889,"about_ca_system_score_gemma":0.007670196,"threshold_uncertainty_score":0.30858672},"labels":[],"label_agreement":null},{"id":"W7041951890","doi":"","title":"Open Data as driver of critical data literacies in Higher Education","year":2020,"lang":"en","type":"other","venue":"Open Research Online (The Open University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Appropriation; Higher education; Discipline; Democracy; Open data; Open education; Economic Justice; Critical thinking","score_opus":0.4942719170888654,"score_gpt":0.5005940300733641,"score_spread":0.006322112984498696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7041951890","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.627214,0.0038648255,0.048429657,0.13014866,0.0006792787,0.0005088955,0.00026837914,0.00048013884,0.18840615],"genre_scores_gemma":[0.9870651,0.0004756287,0.0038590962,0.002822165,0.00010407264,0.00009492854,0.00005333374,0.000085746884,0.0054399637],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9573491,0.022186935,0.0021594292,0.004231755,0.009749378,0.0043233833],"domain_scores_gemma":[0.8603148,0.088539295,0.013449368,0.010301156,0.01192467,0.0154707115],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.037929263,0.0006658921,0.00057365437,0.0057664244,0.011981956,0.03413457,0.0023515408,0.0039031636,0.009535799],"category_scores_gemma":[0.06879587,0.0009118184,0.0005393398,0.0026849906,0.040360462,0.028414514,0.03051989,0.009386513,0.0013553359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009579662,0.0002804301,0.03138404,0.0006053545,0.000040496438,0.0011539569,0.48639408,0.0002880757,0.0017127217,0.40363154,0.008129952,0.06628363],"study_design_scores_gemma":[0.00003651226,0.00018453089,0.015340129,0.001655067,0.00003594129,0.0009754025,0.39463404,0.0016287877,0.0038020173,0.3377903,0.24375269,0.0001645658],"about_ca_topic_score_codex":0.0028398875,"about_ca_topic_score_gemma":0.0028180091,"teacher_disagreement_score":0.9976485,"about_ca_system_score_codex":0.011906459,"about_ca_system_score_gemma":0.020959608,"threshold_uncertainty_score":0.2005915},"labels":[],"label_agreement":null},{"id":"W70578106","doi":"10.17705/1cais.01619","title":"Information Systems and Health Care - V: A MultiModal Approach to Health Care Decision Support Systems","year":2005,"lang":"en","type":"article","venue":"Communications of the Association for Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Decision support system; Workflow; Context (archaeology); Space (punctuation); Clinical decision support system; Health care; Computer science; Knowledge management; Modal; Process management; Management science; Engineering; Artificial intelligence","score_opus":0.035951935433397676,"score_gpt":0.3158813000556019,"score_spread":0.2799293646222042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70578106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004580361,0.03105119,0.839185,0.044247154,0.00096729555,0.00044086445,0.00050772843,0.0007804228,0.07824005],"genre_scores_gemma":[0.25831106,0.028681086,0.68313694,0.0068401885,0.002080763,0.001422252,0.0007718776,0.00026098927,0.018494913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9935427,0.00443728,0.0004632701,0.00041515083,0.0009030701,0.00023860703],"domain_scores_gemma":[0.9949768,0.003656993,0.000298488,0.00039082582,0.0003218456,0.0003550337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005393288,0.0010665358,0.0015250369,0.0067458395,0.0018647229,0.015478369,0.0018926682,0.004469171,0.007656116],"category_scores_gemma":[0.0070180865,0.00078654086,0.0017295938,0.007993177,0.009131145,0.01295484,0.006011728,0.004443133,0.0010346378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024629795,0.000040690855,0.0004457904,0.0005779122,0.00009300684,0.00023753414,0.002186051,0.0043897456,0.0004476155,0.939841,0.0071366276,0.044579513],"study_design_scores_gemma":[0.000023683604,0.000058803314,0.0004465175,0.0008519014,0.00006985777,0.00037484628,0.0020197167,0.020459494,0.0004107786,0.8262041,0.14903131,0.00004895367],"about_ca_topic_score_codex":0.0058941017,"about_ca_topic_score_gemma":0.0046280506,"teacher_disagreement_score":0.015478369,"about_ca_system_score_codex":0.004981707,"about_ca_system_score_gemma":0.0045135813,"threshold_uncertainty_score":0.03614503},"labels":[],"label_agreement":null},{"id":"W7084862518","doi":"10.5281/zenodo.17282436","title":"Open Economy Ontology (OEO)","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Ontology; Commission; Openness to experience; Semantic Web; Interoperability; Field (mathematics); International trade law; Open economy","score_opus":0.056424182713758604,"score_gpt":0.28167565369331726,"score_spread":0.22525147097955867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084862518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051882737,0.0029240553,0.6064762,0.0073080542,0.0021375206,0.0010283452,0.021082016,0.007635937,0.34621966],"genre_scores_gemma":[0.15941778,0.011600577,0.6184224,0.006419499,0.0013005915,0.0031291645,0.08472248,0.0046692584,0.11031825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956762,0.000966321,0.0007484996,0.00056393474,0.0015596636,0.0004854405],"domain_scores_gemma":[0.9970463,0.00083935476,0.00029261052,0.0007777532,0.000731796,0.0003122246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034629658,0.0008258121,0.0006820237,0.0060107647,0.0027846247,0.007814717,0.0016709103,0.0031028986,0.012720539],"category_scores_gemma":[0.007825142,0.00057184114,0.0014335411,0.007861827,0.0026521084,0.013595311,0.0065527945,0.0035024001,0.00690343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001863037,0.000039947445,0.00035130055,0.00030697635,0.000020193127,0.00015386174,0.00060629786,0.00057239155,0.00058843446,0.90472066,0.048836134,0.043785077],"study_design_scores_gemma":[0.0000057411844,0.000005369997,0.0001854834,0.00020236404,0.0000121937355,0.00019526822,0.000275235,0.00095325866,0.0004968169,0.11639207,0.8812576,0.000018613026],"about_ca_topic_score_codex":0.0073567173,"about_ca_topic_score_gemma":0.0046985326,"teacher_disagreement_score":0.012720539,"about_ca_system_score_codex":0.0023497695,"about_ca_system_score_gemma":0.0067970646,"threshold_uncertainty_score":0.04255438},"labels":[],"label_agreement":null},{"id":"W7087020641","doi":"10.1016/j.cej.2025.169289","title":"Dynamic diffusion and extraction behaviors of alkyl-block polyethers in shale nanopores: Implications for enhanced shale-oil recovery by supercritical CO2","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Oil shale; Supercritical fluid; Extraction (chemistry); Pulmonary surfactant; Microporous material; Adsorption; Diffusion; Yield (engineering)","score_opus":0.005525483098375091,"score_gpt":0.25785049658406645,"score_spread":0.25232501348569136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7087020641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974989,0.00023066478,0.0013653716,0.000042896154,0.000005766617,0.000004033156,0.00016508704,0.000018813595,0.0006684014],"genre_scores_gemma":[0.9983645,0.00018080474,0.0005610931,0.000012662552,0.0000022160136,0.0000045687857,0.00010786371,0.0000054999286,0.00076078094],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999936,0.000004054176,0.000003490032,0.00002340978,0.000014257857,0.0000187779],"domain_scores_gemma":[0.9998122,0.00007710417,0.000037619135,0.000010278027,0.000044786397,0.000018014465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012377545,0.00013383897,0.00011716845,0.00023113836,0.00020644235,0.00029435172,0.00014693593,0.00022541033,0.0012237174],"category_scores_gemma":[0.00032732365,0.00010481869,0.00012384557,0.00016369772,0.00024558994,0.00084931887,0.00016952647,0.00032532137,0.00021627355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013751788,0.000026885935,0.001358991,0.000046919162,0.000008571571,0.00006224124,0.00009839091,0.0010044117,0.99423885,0.0004732033,0.000074085154,0.0024700116],"study_design_scores_gemma":[0.000008143895,0.00007443402,0.0067976248,0.0000065838412,0.000011257906,0.000040768053,0.00015848955,0.018807994,0.9729347,0.0002374658,0.0009059589,0.000016577365],"about_ca_topic_score_codex":0.0020155658,"about_ca_topic_score_gemma":0.0022973423,"teacher_disagreement_score":0.0020155658,"about_ca_system_score_codex":0.00038876204,"about_ca_system_score_gemma":0.00021253081,"threshold_uncertainty_score":0.0040937066},"labels":[],"label_agreement":null},{"id":"W7090936970","doi":"10.5281/zenodo.17353832","title":"Open Economy Ontology (OEO)","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Ontology; Commission; Openness to experience; Semantic Web; Interoperability; Field (mathematics); International trade law; Open economy","score_opus":0.056424182713758604,"score_gpt":0.28167565369331726,"score_spread":0.22525147097955867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7090936970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051882737,0.0029240553,0.6064762,0.0073080542,0.0021375206,0.0010283452,0.021082016,0.007635937,0.34621966],"genre_scores_gemma":[0.15941778,0.011600577,0.6184224,0.006419499,0.0013005915,0.0031291645,0.08472248,0.0046692584,0.11031825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956762,0.000966321,0.0007484996,0.00056393474,0.0015596636,0.0004854405],"domain_scores_gemma":[0.9970463,0.00083935476,0.00029261052,0.0007777532,0.000731796,0.0003122246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034629658,0.0008258121,0.0006820237,0.0060107647,0.0027846247,0.007814717,0.0016709103,0.0031028986,0.012720539],"category_scores_gemma":[0.007825142,0.00057184114,0.0014335411,0.007861827,0.0026521084,0.013595311,0.0065527945,0.0035024001,0.00690343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001863037,0.000039947445,0.00035130055,0.00030697635,0.000020193127,0.00015386174,0.00060629786,0.00057239155,0.00058843446,0.90472066,0.048836134,0.043785077],"study_design_scores_gemma":[0.0000057411844,0.000005369997,0.0001854834,0.00020236404,0.0000121937355,0.00019526822,0.000275235,0.00095325866,0.0004968169,0.11639207,0.8812576,0.000018613026],"about_ca_topic_score_codex":0.0073567173,"about_ca_topic_score_gemma":0.0046985326,"teacher_disagreement_score":0.012720539,"about_ca_system_score_codex":0.0023497695,"about_ca_system_score_gemma":0.0067970646,"threshold_uncertainty_score":0.04255438},"labels":[],"label_agreement":null},{"id":"W7092632623","doi":"10.5281/zenodo.17400853","title":"Open Economy Ontology (OEO)","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Ontology; Commission; Openness to experience; Semantic Web; Interoperability; Field (mathematics); International trade law; Open economy","score_opus":0.06868895307584233,"score_gpt":0.290380504806123,"score_spread":0.22169155173028066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092632623","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005161593,0.0029922794,0.60543036,0.007511807,0.0021779116,0.0010093445,0.020663835,0.007681845,0.347371],"genre_scores_gemma":[0.16109402,0.011825518,0.6183376,0.006542019,0.0013263485,0.0030720513,0.083025366,0.00469326,0.11008386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99573284,0.00095902936,0.0007344236,0.0005532302,0.0015387912,0.0004816803],"domain_scores_gemma":[0.9970721,0.0008317927,0.0002902922,0.000766896,0.00072716083,0.00031172542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034504493,0.00081682636,0.00067719875,0.005926092,0.0027604538,0.0077701067,0.0016531299,0.0030879842,0.012637116],"category_scores_gemma":[0.0077163717,0.0005653406,0.0014164742,0.007791241,0.0026719754,0.013578133,0.006507715,0.0034744726,0.006855306],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001823071,0.000038713995,0.00034223896,0.00030332402,0.000019661218,0.0001500691,0.00059040805,0.0005573154,0.00057907886,0.90585256,0.048544493,0.043003857],"study_design_scores_gemma":[0.0000057134284,0.0000053537324,0.00018363397,0.00020020381,0.000012005391,0.00019435126,0.0002711285,0.00093414844,0.00048936147,0.117231786,0.88045394,0.000018403607],"about_ca_topic_score_codex":0.0072282352,"about_ca_topic_score_gemma":0.0045848126,"teacher_disagreement_score":0.012637116,"about_ca_system_score_codex":0.002338571,"about_ca_system_score_gemma":0.0067438236,"threshold_uncertainty_score":0.04227537},"labels":[],"label_agreement":null},{"id":"W7094234772","doi":"","title":"On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data","year":2018,"lang":"en","type":"article","venue":"ORBi (University of Liège)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Workload; Linked data; Data collection; Task (project management); Identification (biology); Field (mathematics); Mental model; Set (abstract data type)","score_opus":0.07245808495760897,"score_gpt":0.30027069831614916,"score_spread":0.2278126133585402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094234772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620238,0.0004511968,0.029671077,0.00050611875,0.000093604074,0.00031392078,0.00047273745,0.0003344719,0.006133041],"genre_scores_gemma":[0.9860622,0.00016458247,0.011875874,0.00006937164,0.000031427295,0.0001249857,0.00054199446,0.000038122744,0.0010914592],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9960731,0.001957079,0.00021845092,0.00034293308,0.0012394903,0.0001688309],"domain_scores_gemma":[0.9638822,0.026317757,0.0018977628,0.0017546634,0.0052632443,0.000884397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041150576,0.00047563436,0.0004240454,0.0018973933,0.0006945825,0.0029405346,0.0007732526,0.0007726181,0.0039222105],"category_scores_gemma":[0.056390308,0.00016825617,0.00042634725,0.0013802279,0.00045571235,0.002229655,0.0018919385,0.00058158644,0.0006480801],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039932397,0.002115511,0.17602308,0.000986525,0.0005449044,0.00056943315,0.011571827,0.02333804,0.019155426,0.0051858337,0.011230142,0.745286],"study_design_scores_gemma":[0.00032862043,0.0034260266,0.397234,0.0006419182,0.0009132295,0.0007587277,0.025896002,0.5005875,0.022282155,0.0310121,0.016564468,0.00035529293],"about_ca_topic_score_codex":0.0074530877,"about_ca_topic_score_gemma":0.005290849,"teacher_disagreement_score":0.0074530877,"about_ca_system_score_codex":0.0007398126,"about_ca_system_score_gemma":0.00082788704,"threshold_uncertainty_score":0.021762788},"labels":[],"label_agreement":null},{"id":"W7095562464","doi":"","title":"– Searching for the Holy Grail.","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rotation formalisms in three dimensions; Representation (politics); Knowledge representation and reasoning; Context (archaeology)","score_opus":0.02709815427751347,"score_gpt":0.2885071769981866,"score_spread":0.2614090227206731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095562464","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02060959,0.026401138,0.16755094,0.0958976,0.009938668,0.00016749253,0.0026170574,0.0052623763,0.6715551],"genre_scores_gemma":[0.2900325,0.011051992,0.13684916,0.0147223985,0.001985404,0.00020052471,0.006888615,0.004009479,0.53425986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988747,0.00035889196,0.00005719852,0.00022377537,0.00037479182,0.00011057418],"domain_scores_gemma":[0.9985598,0.00048372408,0.000088837274,0.0003991238,0.0003089341,0.00015966724],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011541037,0.000589069,0.0005302921,0.0011825698,0.002182654,0.004069459,0.0014242431,0.0019374535,0.06868238],"category_scores_gemma":[0.008050971,0.0004063518,0.00067333644,0.0010113895,0.0033503997,0.0101486845,0.004370608,0.0019915653,0.03155774],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001666892,0.0000409148,0.00076586206,0.00034518918,0.00003770625,0.00029281472,0.0010775299,0.00055571133,0.0013675797,0.42597815,0.3709403,0.19843157],"study_design_scores_gemma":[0.00001733036,0.000019847555,0.00038830936,0.000197185,0.000011475606,0.00043800587,0.0010653175,0.0015463086,0.0016593616,0.2862096,0.70841616,0.000031067873],"about_ca_topic_score_codex":0.0014834915,"about_ca_topic_score_gemma":0.0035633317,"teacher_disagreement_score":0.9313176,"about_ca_system_score_codex":0.00093031337,"about_ca_system_score_gemma":0.00090844,"threshold_uncertainty_score":0.22976542},"labels":[],"label_agreement":null},{"id":"W7097666798","doi":"","title":"Author manuscript, published in &amp;quot;ACM International Conference on Information and Knowledge Management, Toronto: Canada (2010)&amp;quot; RDFViewS: A Storage Tuning Wizard for RDF Applications ∗","year":2010,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SPARQL; RDF; Scalability; RDF query language; Wizard; Heuristics; RDF Schema; Exploit","score_opus":0.055745841215637214,"score_gpt":0.30557424359370555,"score_spread":0.24982840237806833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097666798","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008017599,0.027803011,0.085587926,0.06020142,0.18923254,0.00086070015,0.036125604,0.00764891,0.5845223],"genre_scores_gemma":[0.00872511,0.006831429,0.010817537,0.0012784918,0.0028619685,0.00006329928,0.009299168,0.0016767876,0.9584462],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989237,0.00012929027,0.00006655154,0.00027763017,0.00044371205,0.00015907481],"domain_scores_gemma":[0.9943791,0.00081333524,0.00010502164,0.0006564228,0.0032943678,0.00075181306],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025345772,0.00092142925,0.0017779319,0.0018138834,0.002868176,0.008182777,0.001541217,0.001514353,0.50299984],"category_scores_gemma":[0.0074183554,0.00075472886,0.00069909595,0.003636439,0.0012646207,0.0035034437,0.0019531697,0.001273716,0.1803694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001028014,0.000030275367,0.00040996826,0.00016880962,0.00002392641,0.00008745743,0.00009633639,0.00034611253,0.0007875081,0.003722718,0.9165051,0.07771898],"study_design_scores_gemma":[0.000015349706,0.000018856852,0.00062447396,0.00008438153,0.000012349983,0.00007752964,0.00012781576,0.0011756296,0.0006533708,0.001305343,0.99588794,0.000016910895],"about_ca_topic_score_codex":0.068411805,"about_ca_topic_score_gemma":0.15134925,"teacher_disagreement_score":0.50299984,"about_ca_system_score_codex":0.0033672815,"about_ca_system_score_gemma":0.005120531,"threshold_uncertainty_score":0.7089104},"labels":[],"label_agreement":null},{"id":"W7099267921","doi":"","title":"Monitoring seasonal hydrological dynamics of minerotrophic peatlands using multi-date GeoEye-1 very high resolution imagery and object-based classification. Remote Sens","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Peat; Hydrometeorology; Multispectral image; Land cover; Hydrology (agriculture); Satellite imagery; Vegetation (pathology); Normalized Difference Vegetation Index","score_opus":0.04027226567375795,"score_gpt":0.26215775219386955,"score_spread":0.2218854865201116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099267921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985877,0.00004397799,0.00057695515,0.000007692713,0.0000013524424,0.000009664581,0.00042183153,0.000026211692,0.00032472968],"genre_scores_gemma":[0.9956376,0.000044873468,0.003307811,0.0000038470716,0.0000012954351,0.000009044893,0.00066762517,0.000002945343,0.00032498702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994206,0.0000061899113,0.0000026409505,0.000017058994,0.000019940828,0.00001216965],"domain_scores_gemma":[0.9999063,0.000011867775,0.000024967372,0.000007474277,0.000030197069,0.000019299583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016264147,0.0001042668,0.00009111317,0.0006983528,0.00020717057,0.00019841696,0.00015752231,0.00016315715,0.0003087911],"category_scores_gemma":[0.00016102738,0.00008185623,0.00008726218,0.0003745388,0.00008751451,0.00019821197,0.00014560952,0.00008196942,0.00008319125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025635053,0.00027857415,0.76723427,0.00010026153,0.000060665436,0.00039577344,0.00049595756,0.0042409906,0.12906583,0.00013131242,0.0008251341,0.09691489],"study_design_scores_gemma":[0.000005717835,0.00003598242,0.9797703,0.000009305502,0.000010634731,0.00010152072,0.00027383736,0.013843155,0.005136077,0.000029165309,0.00077704026,0.0000072128987],"about_ca_topic_score_codex":0.06544672,"about_ca_topic_score_gemma":0.2909008,"teacher_disagreement_score":0.06544672,"about_ca_system_score_codex":0.00044945147,"about_ca_system_score_gemma":0.00038575273,"threshold_uncertainty_score":0.1301316},"labels":[],"label_agreement":null},{"id":"W7103986266","doi":"10.5281/zenodo.17518194","title":"Open Economy Ontology (OEO)","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Ontology; Commission; Openness to experience; Semantic Web; Interoperability; Field (mathematics); International trade law; Open economy","score_opus":0.06868895307584233,"score_gpt":0.290380504806123,"score_spread":0.22169155173028066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7103986266","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005161593,0.0029922794,0.60543036,0.007511807,0.0021779116,0.0010093445,0.020663835,0.007681845,0.347371],"genre_scores_gemma":[0.16109402,0.011825518,0.6183376,0.006542019,0.0013263485,0.0030720513,0.083025366,0.00469326,0.11008386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99573284,0.00095902936,0.0007344236,0.0005532302,0.0015387912,0.0004816803],"domain_scores_gemma":[0.9970721,0.0008317927,0.0002902922,0.000766896,0.00072716083,0.00031172542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034504493,0.00081682636,0.00067719875,0.005926092,0.0027604538,0.0077701067,0.0016531299,0.0030879842,0.012637116],"category_scores_gemma":[0.0077163717,0.0005653406,0.0014164742,0.007791241,0.0026719754,0.013578133,0.006507715,0.0034744726,0.006855306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001823071,0.000038713995,0.00034223896,0.00030332402,0.000019661218,0.0001500691,0.00059040805,0.0005573154,0.00057907886,0.90585256,0.048544493,0.043003857],"study_design_scores_gemma":[0.0000057134284,0.0000053537324,0.00018363397,0.00020020381,0.000012005391,0.00019435126,0.0002711285,0.00093414844,0.00048936147,0.117231786,0.88045394,0.000018403607],"about_ca_topic_score_codex":0.0072282352,"about_ca_topic_score_gemma":0.0045848126,"teacher_disagreement_score":0.012637116,"about_ca_system_score_codex":0.002338571,"about_ca_system_score_gemma":0.0067438236,"threshold_uncertainty_score":0.04227537},"labels":[],"label_agreement":null},{"id":"W7112485657","doi":"","title":"Forgetting-based abduction in ALC-ontologies (extended abstract)","year":2017,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Open Text (Canada)","funders":"","keywords":"Forgetting; Description logic; Key (lock); Horn clause; Ontology; Semantics (computer science)","score_opus":0.14321116449794677,"score_gpt":0.3403685468876623,"score_spread":0.19715738238971556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112485657","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004631261,0.00015299954,0.9907718,0.00013338852,0.00003151034,0.00007675857,0.00009667125,0.0029612647,0.0011444632],"genre_scores_gemma":[0.111983545,0.00023796763,0.8845548,0.00020845032,0.00003303146,0.000088971545,0.00041203396,0.00042612362,0.0020552122],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958782,0.0010385143,0.00055661984,0.00068535376,0.0015658883,0.00027538353],"domain_scores_gemma":[0.99129605,0.004700514,0.00044552554,0.0021779868,0.0012650224,0.00011489959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053024935,0.00079983927,0.0006496215,0.0020925407,0.00075294985,0.0032273186,0.0026173051,0.0010977011,0.0056626513],"category_scores_gemma":[0.013682514,0.0008393528,0.0026902822,0.0012724804,0.0023322417,0.0045483457,0.0035423758,0.0023682297,0.0009337678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037263136,0.00017933079,0.0033506101,0.0014428128,0.00036427964,0.0014792675,0.003108884,0.06203525,0.019511402,0.20543908,0.0065190396,0.6961974],"study_design_scores_gemma":[0.00015182295,0.00014353268,0.0012195568,0.0005797802,0.00035276153,0.0020095934,0.00052311586,0.5291525,0.09703668,0.30307972,0.06559042,0.00016058165],"about_ca_topic_score_codex":0.004133597,"about_ca_topic_score_gemma":0.0041136,"teacher_disagreement_score":0.0056626513,"about_ca_system_score_codex":0.0008670945,"about_ca_system_score_gemma":0.0012921146,"threshold_uncertainty_score":0.028042555},"labels":[],"label_agreement":null},{"id":"W7116272020","doi":"10.5281/zenodo.17994113","title":"Open Economy Ontology (OEO)","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Ontology; Commission; Openness to experience; Semantic Web; Interoperability; Field (mathematics); International trade law; Open economy","score_opus":0.06868895307584233,"score_gpt":0.290380504806123,"score_spread":0.22169155173028066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116272020","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005161593,0.0029922794,0.60543036,0.007511807,0.0021779116,0.0010093445,0.020663835,0.007681845,0.347371],"genre_scores_gemma":[0.16109402,0.011825518,0.6183376,0.006542019,0.0013263485,0.0030720513,0.083025366,0.00469326,0.11008386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99573284,0.00095902936,0.0007344236,0.0005532302,0.0015387912,0.0004816803],"domain_scores_gemma":[0.9970721,0.0008317927,0.0002902922,0.000766896,0.00072716083,0.00031172542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034504493,0.00081682636,0.00067719875,0.005926092,0.0027604538,0.0077701067,0.0016531299,0.0030879842,0.012637116],"category_scores_gemma":[0.0077163717,0.0005653406,0.0014164742,0.007791241,0.0026719754,0.013578133,0.006507715,0.0034744726,0.006855306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001823071,0.000038713995,0.00034223896,0.00030332402,0.000019661218,0.0001500691,0.00059040805,0.0005573154,0.00057907886,0.90585256,0.048544493,0.043003857],"study_design_scores_gemma":[0.0000057134284,0.0000053537324,0.00018363397,0.00020020381,0.000012005391,0.00019435126,0.0002711285,0.00093414844,0.00048936147,0.117231786,0.88045394,0.000018403607],"about_ca_topic_score_codex":0.0072282352,"about_ca_topic_score_gemma":0.0045848126,"teacher_disagreement_score":0.012637116,"about_ca_system_score_codex":0.002338571,"about_ca_system_score_gemma":0.0067438236,"threshold_uncertainty_score":0.04227537},"labels":[],"label_agreement":null},{"id":"W7116364617","doi":"10.5281/zenodo.17993830","title":"Open Economy Ontology (OEO)","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Ontology; Commission; Openness to experience; Semantic Web; Interoperability; Field (mathematics); International trade law; Open economy","score_opus":0.06868895307584233,"score_gpt":0.290380504806123,"score_spread":0.22169155173028066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116364617","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005161593,0.0029922794,0.60543036,0.007511807,0.0021779116,0.0010093445,0.020663835,0.007681845,0.347371],"genre_scores_gemma":[0.16109402,0.011825518,0.6183376,0.006542019,0.0013263485,0.0030720513,0.083025366,0.00469326,0.11008386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99573284,0.00095902936,0.0007344236,0.0005532302,0.0015387912,0.0004816803],"domain_scores_gemma":[0.9970721,0.0008317927,0.0002902922,0.000766896,0.00072716083,0.00031172542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034504493,0.00081682636,0.00067719875,0.005926092,0.0027604538,0.0077701067,0.0016531299,0.0030879842,0.012637116],"category_scores_gemma":[0.0077163717,0.0005653406,0.0014164742,0.007791241,0.0026719754,0.013578133,0.006507715,0.0034744726,0.006855306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001823071,0.000038713995,0.00034223896,0.00030332402,0.000019661218,0.0001500691,0.00059040805,0.0005573154,0.00057907886,0.90585256,0.048544493,0.043003857],"study_design_scores_gemma":[0.0000057134284,0.0000053537324,0.00018363397,0.00020020381,0.000012005391,0.00019435126,0.0002711285,0.00093414844,0.00048936147,0.117231786,0.88045394,0.000018403607],"about_ca_topic_score_codex":0.0072282352,"about_ca_topic_score_gemma":0.0045848126,"teacher_disagreement_score":0.012637116,"about_ca_system_score_codex":0.002338571,"about_ca_system_score_gemma":0.0067438236,"threshold_uncertainty_score":0.04227537},"labels":[],"label_agreement":null},{"id":"W7122512767","doi":"10.5281/zenodo.18216183","title":"Open Economy Ontology (OEO)","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Ontology; Commission; Openness to experience; Semantic Web; Interoperability; Field (mathematics); International trade law; Open economy","score_opus":0.06868895307584233,"score_gpt":0.290380504806123,"score_spread":0.22169155173028066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7122512767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005161593,0.0029922794,0.60543036,0.007511807,0.0021779116,0.0010093445,0.020663835,0.007681845,0.347371],"genre_scores_gemma":[0.16109402,0.011825518,0.6183376,0.006542019,0.0013263485,0.0030720513,0.083025366,0.00469326,0.11008386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99573284,0.00095902936,0.0007344236,0.0005532302,0.0015387912,0.0004816803],"domain_scores_gemma":[0.9970721,0.0008317927,0.0002902922,0.000766896,0.00072716083,0.00031172542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034504493,0.00081682636,0.00067719875,0.005926092,0.0027604538,0.0077701067,0.0016531299,0.0030879842,0.012637116],"category_scores_gemma":[0.0077163717,0.0005653406,0.0014164742,0.007791241,0.0026719754,0.013578133,0.006507715,0.0034744726,0.006855306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001823071,0.000038713995,0.00034223896,0.00030332402,0.000019661218,0.0001500691,0.00059040805,0.0005573154,0.00057907886,0.90585256,0.048544493,0.043003857],"study_design_scores_gemma":[0.0000057134284,0.0000053537324,0.00018363397,0.00020020381,0.000012005391,0.00019435126,0.0002711285,0.00093414844,0.00048936147,0.117231786,0.88045394,0.000018403607],"about_ca_topic_score_codex":0.0072282352,"about_ca_topic_score_gemma":0.0045848126,"teacher_disagreement_score":0.012637116,"about_ca_system_score_codex":0.002338571,"about_ca_system_score_gemma":0.0067438236,"threshold_uncertainty_score":0.04227537},"labels":[],"label_agreement":null},{"id":"W7125604589","doi":"10.1109/cascon66301.2025.00048","title":"Semantic Relational Types of SQL Queries and Applications to AI Agent Tool Selection","year":2025,"lang":"","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"SQL; Relational database; Natural language; Data definition language; Stored procedure; Data type; Relational model; Query language","score_opus":0.01798697229673936,"score_gpt":0.2802300756402965,"score_spread":0.26224310334355716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125604589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027131415,0.00021162102,0.986296,0.00040115436,0.00007687992,0.0001708938,0.00068727136,0.0072421166,0.0022009914],"genre_scores_gemma":[0.06101296,0.00034828694,0.9323742,0.00028313015,0.000099604375,0.0002863881,0.0022669376,0.0016518736,0.0016765136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9850429,0.0042400034,0.0025432864,0.0018130137,0.005675819,0.00068489794],"domain_scores_gemma":[0.9740658,0.010183699,0.0027872075,0.007309088,0.0050858855,0.00056841376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011160668,0.0014037036,0.0012214081,0.005475742,0.001378369,0.0069625955,0.004103568,0.0018416581,0.0063232505],"category_scores_gemma":[0.03747432,0.0013539012,0.0029856893,0.005602147,0.003116365,0.011038301,0.004979474,0.003518162,0.002477663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044240736,0.00020231844,0.0073442264,0.0008971544,0.00014996536,0.00067745283,0.0016938606,0.041952424,0.0083595,0.6315245,0.01706268,0.28969353],"study_design_scores_gemma":[0.00009810879,0.00012426218,0.0013906946,0.0004197312,0.00012692455,0.0009036762,0.00065975287,0.3654052,0.025323968,0.43790442,0.1674333,0.00021002005],"about_ca_topic_score_codex":0.0075152707,"about_ca_topic_score_gemma":0.007849158,"teacher_disagreement_score":0.011160668,"about_ca_system_score_codex":0.0026671472,"about_ca_system_score_gemma":0.004273186,"threshold_uncertainty_score":0.059023976},"labels":[],"label_agreement":null},{"id":"W7132912893","doi":"","title":"A retail ontology: Formal semantics and efficient implementation","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Semantics (computer science); Focus (optics); Business intelligence; Ontology; Competitive intelligence; Order (exchange); Business rule; Competitive advantage","score_opus":0.035248594157568744,"score_gpt":0.3920540187139736,"score_spread":0.35680542455640485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132912893","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016623187,0.00012658542,0.99189353,0.00054075156,0.000053305914,0.00015896854,0.00038138844,0.0021936707,0.0029896123],"genre_scores_gemma":[0.050429944,0.0004940956,0.94390106,0.00022284263,0.000073238305,0.0003462381,0.0013744329,0.0006893599,0.00246884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99548656,0.0013015395,0.0006112947,0.00059381337,0.001694709,0.00031201667],"domain_scores_gemma":[0.99635243,0.0016235078,0.00021362833,0.0010341309,0.0006391062,0.00013712746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005297355,0.000879537,0.0010476081,0.0023370609,0.0026254035,0.006655331,0.0036790173,0.0022059516,0.006442154],"category_scores_gemma":[0.011085717,0.0017427374,0.0035979676,0.0036233102,0.003911855,0.015729371,0.00692807,0.0041858815,0.0021041236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008937543,0.00016113819,0.0004166152,0.0002857432,0.00005406969,0.00020130964,0.00080419215,0.015550191,0.0018906918,0.8409429,0.010280136,0.1293237],"study_design_scores_gemma":[0.00008419573,0.000037873047,0.00015674935,0.00011995122,0.00006899659,0.00023356653,0.0004387972,0.18809405,0.0035105,0.732614,0.07457776,0.00006352543],"about_ca_topic_score_codex":0.014656609,"about_ca_topic_score_gemma":0.015832271,"teacher_disagreement_score":0.014656609,"about_ca_system_score_codex":0.002685273,"about_ca_system_score_gemma":0.0053878524,"threshold_uncertainty_score":0.029142559},"labels":[],"label_agreement":null},{"id":"W7133017867","doi":"","title":"A knowledge-enabled system for routing urban utility infrastructure","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ontology; Interoperability; Bridge (graph theory); Data model (GIS); Field (mathematics); Knowledge-based systems; Data modeling; Domain (mathematical analysis); Routing (electronic design automation); Domain knowledge","score_opus":0.029433277587041895,"score_gpt":0.35268472277468244,"score_spread":0.32325144518764054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133017867","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05838397,0.00019176347,0.864158,0.0005617953,0.00008530221,0.0005730604,0.0018223585,0.048885398,0.025338419],"genre_scores_gemma":[0.6049079,0.00042913656,0.37153193,0.00033130046,0.000041389165,0.00041589234,0.00465,0.00090752303,0.016784944],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994061,0.00007089763,0.00008549888,0.00017359214,0.00019892663,0.00006488619],"domain_scores_gemma":[0.9991591,0.00022483777,0.000069424554,0.00025974333,0.0002013475,0.00008555995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010702489,0.00047037314,0.00044068,0.0011723293,0.001079354,0.0023551714,0.0017154964,0.0010595128,0.004180622],"category_scores_gemma":[0.0027182617,0.0003411423,0.00045258712,0.0012059405,0.0006493426,0.0031635482,0.0019709892,0.0007584438,0.0016401097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010167364,0.001075523,0.012920382,0.0006617137,0.0002743856,0.0034025628,0.004922917,0.17768626,0.061066713,0.12155384,0.048958275,0.56646067],"study_design_scores_gemma":[0.0001154831,0.00016950829,0.0033405006,0.00014400174,0.00019430551,0.0005005953,0.00062416,0.7747634,0.02911209,0.034700707,0.15616964,0.00016557421],"about_ca_topic_score_codex":0.028567849,"about_ca_topic_score_gemma":0.02449645,"teacher_disagreement_score":0.028567849,"about_ca_system_score_codex":0.0018915774,"about_ca_system_score_gemma":0.0024271936,"threshold_uncertainty_score":0.056803107},"labels":[],"label_agreement":null},{"id":"W7134342846","doi":"","title":"Vers une normalisation RDF","year":2016,"lang":"fr","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"RDF; Context (archaeology); Web site; Linked data","score_opus":0.04108002551339361,"score_gpt":0.25609046418322573,"score_spread":0.2150104386698321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134342846","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005602398,0.0013303995,0.8533283,0.004326053,0.0019283836,0.0006637432,0.010342518,0.03270881,0.089769386],"genre_scores_gemma":[0.10521846,0.0051266733,0.6972941,0.004743598,0.0012848374,0.0018197914,0.044329066,0.022983026,0.11720042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9847113,0.0044375015,0.0015363978,0.0028424514,0.005656489,0.00081588916],"domain_scores_gemma":[0.99198216,0.002172041,0.00028779818,0.0026468965,0.002772243,0.0001388407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0086348625,0.002614654,0.001205515,0.0037323018,0.0022499796,0.01057642,0.0024514007,0.0026738413,0.030153058],"category_scores_gemma":[0.019612078,0.0017965261,0.0035057152,0.0039313384,0.0034766293,0.01475306,0.0050667413,0.0071428088,0.019245038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042857951,0.00018161674,0.0011842656,0.0008048191,0.00018724111,0.0009894541,0.002052564,0.011191125,0.006244803,0.6110111,0.1155422,0.25018233],"study_design_scores_gemma":[0.00006232788,0.000044210326,0.00036372337,0.0004840152,0.00007000552,0.00048528347,0.0005736785,0.02360288,0.01033583,0.16360933,0.8002618,0.0001068785],"about_ca_topic_score_codex":0.021913964,"about_ca_topic_score_gemma":0.014055781,"teacher_disagreement_score":0.030153058,"about_ca_system_score_codex":0.0037472697,"about_ca_system_score_gemma":0.004988337,"threshold_uncertainty_score":0.10087204},"labels":[],"label_agreement":null},{"id":"W7135316427","doi":"","title":"Développement d'un cadre générique pour le partitionnement des données RDF","year":2024,"lang":"fr","type":"dissertation","venue":"Dépôt Institutionnel de lUniversité de Tlemcen","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"RDF; Semantic Web; Linked data; Web site; Metis","score_opus":0.04120457556447915,"score_gpt":0.24947654652079307,"score_spread":0.20827197095631392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135316427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010489986,0.0010688958,0.936424,0.00066670805,0.00022459099,0.00057390874,0.0025931622,0.039643932,0.008314814],"genre_scores_gemma":[0.06950958,0.0012836227,0.88890773,0.0006718012,0.000087730725,0.00071294553,0.012648186,0.007604487,0.018573819],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99521035,0.00077151693,0.0004638738,0.0009150901,0.0023613586,0.0002778494],"domain_scores_gemma":[0.9953433,0.0015954418,0.00018484033,0.0014288524,0.0012409824,0.00020654831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042338525,0.0014765848,0.0010537584,0.0020564133,0.0011324239,0.004988843,0.0023864144,0.0016487663,0.013542394],"category_scores_gemma":[0.010649868,0.0012760819,0.0023229802,0.0015945103,0.0011737708,0.0055090804,0.003107562,0.0026887998,0.004409142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012042207,0.00033577223,0.004734924,0.002826317,0.00031965613,0.0014566785,0.003717204,0.045160823,0.07994684,0.07906882,0.060139738,0.72108907],"study_design_scores_gemma":[0.00033997375,0.00037595595,0.0026453696,0.00081212603,0.00019856002,0.0015298149,0.00093445805,0.27517644,0.122462906,0.0315653,0.56369126,0.0002679046],"about_ca_topic_score_codex":0.012038604,"about_ca_topic_score_gemma":0.014794663,"teacher_disagreement_score":0.013542394,"about_ca_system_score_codex":0.0014710432,"about_ca_system_score_gemma":0.0028210282,"threshold_uncertainty_score":0.045303762},"labels":[],"label_agreement":null},{"id":"W7135509389","doi":"","title":"SW-EL'04 : semantic web for E-learning : applications of semantic web technologies for E-learning, ISWC'04 workshop, 8th November 2004, Hiroshima","year":2004,"lang":"en","type":"book","venue":"TU/e Research Portal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education, Culture, Sports, Science and Technology; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Semantic Web; Social Semantic Web; Semantic Web Stack; Semantic analytics; Semantics (computer science); Data Web","score_opus":0.04644229024564686,"score_gpt":0.35097875181938737,"score_spread":0.3045364615737405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135509389","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016944438,0.039699744,0.68246216,0.010652264,0.0066648372,0.0005688608,0.00352487,0.014736391,0.22474639],"genre_scores_gemma":[0.0438743,0.04024304,0.30359316,0.002149979,0.0012669176,0.00037934817,0.017480992,0.0042314804,0.58678085],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99964046,0.00006364089,0.0000270563,0.00005394774,0.00017766043,0.00003722978],"domain_scores_gemma":[0.9994406,0.00012736881,0.000019440185,0.00007556456,0.00025336712,0.000083638755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011417614,0.00087509747,0.00075739686,0.0014446527,0.0007251187,0.0031860254,0.0011907637,0.0014623342,0.014499348],"category_scores_gemma":[0.0010561374,0.00048386867,0.00051610207,0.0031809288,0.00056201493,0.0055331835,0.0014362144,0.001473073,0.009187081],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012548632,0.00019341863,0.0004539938,0.00066728186,0.000031129137,0.0001822729,0.00033494772,0.0012222521,0.00788301,0.034586187,0.35231027,0.6020097],"study_design_scores_gemma":[0.00004750621,0.00007730753,0.0017820202,0.00030981106,0.00005362878,0.000723834,0.00031411057,0.013473393,0.01345294,0.038272455,0.93146,0.00003288225],"about_ca_topic_score_codex":0.0033282358,"about_ca_topic_score_gemma":0.005947014,"teacher_disagreement_score":0.014499348,"about_ca_system_score_codex":0.00065186253,"about_ca_system_score_gemma":0.0016781507,"threshold_uncertainty_score":0.048505127},"labels":[],"label_agreement":null},{"id":"W7135579069","doi":"","title":"Joint Proceedings of the Onto4FAIR 2023 Workshops:collocated with 13th International Conference on Formal Ontology in Information Systems, FOIS 2023, Sherbrooke, QC, Canada, July 20, 2023 and 19th International Conference on Semantic Systems, SEMANTICS 2023","year":2023,"lang":"en","type":"book","venue":"University of Twente Research Information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Rural Development Administration; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft","keywords":"Joint (building); Ontology; Semantic Web; Semantics (computer science); Term (time)","score_opus":0.0524176525019382,"score_gpt":0.25418617916343494,"score_spread":0.20176852666149675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135579069","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01611533,0.046580896,0.4521368,0.040322483,0.04879818,0.0015542706,0.006406361,0.005860536,0.38222507],"genre_scores_gemma":[0.02519766,0.022151241,0.12333056,0.0029778301,0.003366277,0.00067448505,0.012505365,0.0039994903,0.8057971],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960486,0.0012402711,0.00023445644,0.0005286042,0.0015185941,0.0004294916],"domain_scores_gemma":[0.9944535,0.0018933609,0.00010146408,0.0011190246,0.0015274197,0.00090529205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0101352185,0.0012059606,0.00155906,0.0022564984,0.0020951969,0.009037827,0.0023588818,0.0030643737,0.061666172],"category_scores_gemma":[0.006832226,0.000790488,0.0020400633,0.0034590303,0.0021526571,0.0065460093,0.0043502627,0.0038602983,0.02661126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024394917,0.00032258953,0.0005726967,0.00064164435,0.000060211503,0.0003898869,0.0010077516,0.0012833531,0.003968483,0.043640953,0.6686325,0.279236],"study_design_scores_gemma":[0.000013934548,0.000036363814,0.00045641026,0.00016689047,0.000014315489,0.00019921781,0.0002823335,0.0017199661,0.001142616,0.008938731,0.98700535,0.000023836736],"about_ca_topic_score_codex":0.020288125,"about_ca_topic_score_gemma":0.037999332,"teacher_disagreement_score":0.061666172,"about_ca_system_score_codex":0.004633904,"about_ca_system_score_gemma":0.006967153,"threshold_uncertainty_score":0.20629388},"labels":[],"label_agreement":null},{"id":"W7135666528","doi":"","title":"Semantics for Transport 2025 – Sem4Tra","year":2025,"lang":"en","type":"article","venue":"WU Research","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Emissions Reduction Alberta","funders":"","keywords":"Semantics (computer science); Denotational semantics; Formal semantics (linguistics); Operational semantics; Computational semantics","score_opus":0.13938067711654287,"score_gpt":0.4517168027207162,"score_spread":0.31233612560417334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135666528","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022113204,0.0019805604,0.8743683,0.0040949634,0.0020168663,0.00016337763,0.0022719593,0.005134851,0.1077578],"genre_scores_gemma":[0.14553405,0.008720956,0.68186694,0.0070187645,0.0029508974,0.0010568919,0.023823755,0.00885262,0.12017515],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951976,0.0015587272,0.00082567695,0.00057239295,0.0014590565,0.00038648758],"domain_scores_gemma":[0.9976695,0.00048004245,0.00012642684,0.00062479964,0.001000326,0.0000988926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054324926,0.0014608421,0.0009063373,0.0032401402,0.002586553,0.00762476,0.0021783942,0.0037500337,0.023090463],"category_scores_gemma":[0.0042620236,0.0009688137,0.0032586018,0.0039534634,0.0032462997,0.01450666,0.0046005994,0.004476435,0.013061993],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002189169,0.00001160045,0.000045063513,0.0001036232,0.000017765207,0.000088393805,0.00013159137,0.001215284,0.00042790823,0.9717165,0.011396296,0.014824106],"study_design_scores_gemma":[0.000012822353,0.000017023865,0.00006858433,0.0001716134,0.000030756848,0.00040446143,0.00012255863,0.0074105673,0.0027534764,0.46146196,0.5275115,0.000034750847],"about_ca_topic_score_codex":0.0067607956,"about_ca_topic_score_gemma":0.0043780655,"teacher_disagreement_score":0.023090463,"about_ca_system_score_codex":0.0032906593,"about_ca_system_score_gemma":0.0051207035,"threshold_uncertainty_score":0.077245235},"labels":[],"label_agreement":null},{"id":"W7138898122","doi":"10.5220/0006963000002053","title":"Lean Ontology Development: An Ontology Development Paradigm based on Continuous Innovation","year":2018,"lang":"","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Ontology; Field (mathematics); Development (topology); Key (lock)","score_opus":0.050003475329594135,"score_gpt":0.2908912213647398,"score_spread":0.24088774603514568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138898122","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049891756,0.00016030949,0.9848684,0.0013035451,0.000079108155,0.00011638953,0.000052611933,0.0003468846,0.008083574],"genre_scores_gemma":[0.17939134,0.00048553935,0.81287014,0.00043887217,0.000061303435,0.00030478003,0.0003289042,0.0001892138,0.0059298533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99438643,0.0018543764,0.00040333875,0.00066726457,0.0023449382,0.0003436168],"domain_scores_gemma":[0.9932628,0.0023567365,0.0005010896,0.0017065459,0.0016729896,0.0004998915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007325219,0.0005134402,0.00058276695,0.0022206043,0.001699477,0.0053027375,0.002763929,0.0016202426,0.0019002064],"category_scores_gemma":[0.0094831325,0.00054830546,0.001340501,0.00265832,0.004036776,0.010575966,0.007227435,0.003318519,0.0007048207],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043432618,0.00013312607,0.00083274004,0.00021824896,0.000048482492,0.00016349413,0.0014515927,0.003266638,0.0029362936,0.9068269,0.0029369462,0.08114221],"study_design_scores_gemma":[0.000053645563,0.000076530414,0.00041826107,0.00017866802,0.00007421346,0.00044775486,0.00087422185,0.06853095,0.00828125,0.8448314,0.076182544,0.000050495262],"about_ca_topic_score_codex":0.0022778693,"about_ca_topic_score_gemma":0.0031485746,"teacher_disagreement_score":0.007325219,"about_ca_system_score_codex":0.0021386652,"about_ca_system_score_gemma":0.007049255,"threshold_uncertainty_score":0.03873992},"labels":[],"label_agreement":null},{"id":"W7147718754","doi":"10.70675/4642ad1dz6864z47caz82dazbc5754e2dd6f","title":"Vers une normalisation RDF","year":2016,"lang":"","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"RDF; Context (archaeology); Web site; Semantic Web","score_opus":0.019678768637032665,"score_gpt":0.26901636255062733,"score_spread":0.24933759391359467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147718754","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005602398,0.0013303995,0.8533283,0.004326053,0.0019283836,0.0006637432,0.010342518,0.03270881,0.089769386],"genre_scores_gemma":[0.10521846,0.0051266733,0.6972941,0.004743598,0.0012848374,0.0018197914,0.044329066,0.022983026,0.11720042],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9847113,0.0044375015,0.0015363978,0.0028424514,0.005656489,0.00081588916],"domain_scores_gemma":[0.99198216,0.002172041,0.00028779818,0.0026468965,0.002772243,0.0001388407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0086348625,0.002614654,0.001205515,0.0037323018,0.0022499796,0.01057642,0.0024514007,0.0026738413,0.030153058],"category_scores_gemma":[0.019612078,0.0017965261,0.0035057152,0.0039313384,0.0034766293,0.01475306,0.0050667413,0.0071428088,0.019245038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042857951,0.00018161674,0.0011842656,0.0008048191,0.00018724111,0.0009894541,0.002052564,0.011191125,0.006244803,0.6110111,0.1155422,0.25018233],"study_design_scores_gemma":[0.00006232788,0.000044210326,0.00036372337,0.0004840152,0.00007000552,0.00048528347,0.0005736785,0.02360288,0.01033583,0.16360933,0.8002618,0.0001068785],"about_ca_topic_score_codex":0.021913964,"about_ca_topic_score_gemma":0.014055781,"teacher_disagreement_score":0.030153058,"about_ca_system_score_codex":0.0037472697,"about_ca_system_score_gemma":0.004988337,"threshold_uncertainty_score":0.10087204},"labels":[],"label_agreement":null},{"id":"W71520285","doi":"10.3233/978-1-60750-047-6-22","title":"A First-Order Cutting Process Ontology for Sheet Metal Parts","year":2009,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sheet metal; Process (computing); Ontology; Order (exchange); Computer science; Engineering drawing; Manufacturing engineering; Engineering; Mechanical engineering; Business; Philosophy; Epistemology; Programming language","score_opus":0.04966019199930656,"score_gpt":0.2995135037564199,"score_spread":0.24985331175711334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W71520285","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005205422,0.0022172383,0.8872123,0.0018062268,0.0006202233,0.00026389785,0.00135363,0.00085500133,0.10046603],"genre_scores_gemma":[0.068739146,0.0045717317,0.85571986,0.0011172717,0.00020118113,0.00042915504,0.0041695083,0.0003518546,0.06470027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993298,0.00007481164,0.000085974505,0.000112175316,0.00034678433,0.00005045425],"domain_scores_gemma":[0.9995414,0.0001648169,0.000040821513,0.00008613478,0.00013907462,0.000027789072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009134045,0.0005441622,0.00039749453,0.0018908378,0.001369383,0.0027690032,0.0012342212,0.0016130912,0.004847298],"category_scores_gemma":[0.0009447,0.0005072926,0.001472041,0.0023855632,0.0018463298,0.0060318755,0.0011416912,0.0026555918,0.0018754443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005623238,0.000027089278,0.00008127825,0.00014250883,0.0000060827624,0.00013989487,0.00043167957,0.0019788598,0.001701871,0.954418,0.0067488225,0.034318198],"study_design_scores_gemma":[0.000009296713,0.000017112568,0.00036525144,0.00019389129,0.000024195317,0.0007839779,0.00018825235,0.01282532,0.0032395134,0.41473386,0.5675848,0.000034618086],"about_ca_topic_score_codex":0.0071625444,"about_ca_topic_score_gemma":0.008461499,"teacher_disagreement_score":0.0071625444,"about_ca_system_score_codex":0.00258189,"about_ca_system_score_gemma":0.004025989,"threshold_uncertainty_score":0.018733025},"labels":[],"label_agreement":null},{"id":"W7160222949","doi":"","title":"<i>History</i> in the Basic Formal Ontology.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Parks Canada","funders":"","keywords":"Referent; Work (physics); Term (time); Formal description; Formal methods; Relation (database)","score_opus":0.02560406251063631,"score_gpt":0.21428252435005316,"score_spread":0.18867846183941683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160222949","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0071599083,0.005735013,0.43923572,0.030655771,0.0033078138,0.00023628249,0.0015896945,0.0008621841,0.51121765],"genre_scores_gemma":[0.5640258,0.007676809,0.29820722,0.015453347,0.0026186816,0.0012456775,0.0045100288,0.0008450552,0.10541734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982198,0.00069694506,0.00020081646,0.00032558758,0.00037535705,0.00018142498],"domain_scores_gemma":[0.99815935,0.0008530517,0.00018121272,0.00039636705,0.00028197755,0.00012796855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034920205,0.0003380927,0.0003892226,0.0020528524,0.0025127155,0.0063211625,0.0014200662,0.0025845363,0.007836068],"category_scores_gemma":[0.0047835573,0.0004084821,0.0007359578,0.002664025,0.014599218,0.01678102,0.0029736538,0.0037522304,0.0023017337],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029366663,0.0000016217966,0.000025802707,0.000020609317,9.732947e-7,0.000014923141,0.00042110038,0.000028784068,0.00005112997,0.9946794,0.0022971083,0.002455463],"study_design_scores_gemma":[0.0000049841938,0.00000537372,0.00010883849,0.000087720306,0.0000060899197,0.00011566609,0.0005272681,0.00039581404,0.00016559716,0.7715466,0.22702517,0.000010897439],"about_ca_topic_score_codex":0.008282644,"about_ca_topic_score_gemma":0.005708361,"teacher_disagreement_score":0.008282644,"about_ca_system_score_codex":0.003683549,"about_ca_system_score_gemma":0.0030453177,"threshold_uncertainty_score":0.026726186},"labels":[],"label_agreement":null},{"id":"W7316702","doi":"10.1007/978-3-540-71945-8_12","title":"Indices, Meaning and Topic Maps: Some Observations","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Search engine indexing; Index (typography); Perspective (graphical); Context (archaeology); Meaning (existential); Epistemology; Focus (optics); Computer science; Information retrieval; History; Artificial intelligence; Philosophy; World Wide Web","score_opus":0.051419664038733534,"score_gpt":0.26604507582667425,"score_spread":0.2146254117879407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7316702","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10312801,0.043129496,0.6498092,0.03710147,0.0010028457,0.00023249837,0.0029324964,0.0015032693,0.16116066],"genre_scores_gemma":[0.73151606,0.030284846,0.20175526,0.0041768188,0.004308893,0.00060407707,0.0027171534,0.0011805979,0.023456264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979231,0.0005957986,0.00018333146,0.0005952514,0.00059056026,0.00011201228],"domain_scores_gemma":[0.97261953,0.022859616,0.0006207415,0.0019756346,0.0015560891,0.0003683465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005143828,0.00085577025,0.0014308017,0.003245365,0.0022298745,0.0071743475,0.001965838,0.0020585398,0.013302736],"category_scores_gemma":[0.030353269,0.0010906024,0.0011110441,0.0054090777,0.0060060946,0.025430907,0.00300434,0.004190418,0.0019607823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017446245,0.00008248728,0.0027085734,0.00044971998,0.000048835616,0.00021592602,0.004187149,0.0017558403,0.0011253593,0.9327819,0.01208514,0.044384617],"study_design_scores_gemma":[0.000030206864,0.000019367266,0.0029117432,0.0000815684,0.000034974702,0.00033644403,0.0008684431,0.0053269793,0.00081994565,0.96584296,0.023687169,0.00004021197],"about_ca_topic_score_codex":0.004707349,"about_ca_topic_score_gemma":0.004603083,"teacher_disagreement_score":0.013302736,"about_ca_system_score_codex":0.0015013838,"about_ca_system_score_gemma":0.0009397577,"threshold_uncertainty_score":0.04450214},"labels":[],"label_agreement":null},{"id":"W75995423","doi":"10.1007/0-387-29295-0_14","title":"Implementation of an Application Ontology","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Ontology; Implementation; Computer science; Process ontology; Domain (mathematical analysis); Ontology-based data integration; Upper ontology; Suggested Upper Merged Ontology; Software engineering; Informatics; Domain knowledge; Engineering","score_opus":0.018303365789958743,"score_gpt":0.28799636108487875,"score_spread":0.26969299529492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W75995423","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073772594,0.0002474508,0.95858634,0.00071914395,0.00016990204,0.00045885582,0.00020347706,0.0045028944,0.02773462],"genre_scores_gemma":[0.06729303,0.0005750545,0.9146012,0.00036010024,0.000038662543,0.00038720717,0.0014152305,0.0011441752,0.014185309],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99566084,0.0009903405,0.000503726,0.0006253786,0.001926039,0.0002936566],"domain_scores_gemma":[0.99702185,0.0008445179,0.00013336052,0.0010447457,0.00082050316,0.00013508239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004239493,0.00072498294,0.00059102156,0.0016405899,0.001319007,0.0052944417,0.0035190564,0.0022499645,0.0048133945],"category_scores_gemma":[0.0065212483,0.0007967516,0.0014940341,0.0013744059,0.0012191863,0.005547312,0.0030078543,0.00297077,0.0021232096],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015090166,0.0006384477,0.0021402836,0.0011959483,0.00018035658,0.0010277922,0.0045206305,0.015336105,0.04402335,0.5085509,0.019844934,0.40239027],"study_design_scores_gemma":[0.00005850094,0.00014440482,0.0009889421,0.0005741675,0.00012714729,0.0011348922,0.0007660321,0.068478845,0.022875385,0.05695001,0.8478072,0.000094497125],"about_ca_topic_score_codex":0.0032834169,"about_ca_topic_score_gemma":0.0029943176,"teacher_disagreement_score":0.0052944417,"about_ca_system_score_codex":0.0013384331,"about_ca_system_score_gemma":0.0034348085,"threshold_uncertainty_score":0.022420883},"labels":[],"label_agreement":null},{"id":"W77603087","doi":"10.1007/978-3-642-24908-2_10","title":"Towards RIF-OWL Combination: An Effective Reasoning Technique in Integrating OWL and Negation-Free Rules","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Semantic reasoner; Computer science; Negation; Description logic; Focus (optics); Semantics (computer science); Knowledge base; Non-monotonic logic; Programming language; Artificial intelligence; Circumscription; Web Ontology Language; Theoretical computer science; Horn clause; Logic programming; Semantic Web","score_opus":0.014074822083270284,"score_gpt":0.24921493504529707,"score_spread":0.23514011296202678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W77603087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014669282,0.00025234433,0.99466765,0.00011525004,0.000068139496,0.00006609183,0.000068773865,0.0013534741,0.0019414118],"genre_scores_gemma":[0.016143627,0.00019498008,0.9807153,0.00016387588,0.000052746866,0.00007437755,0.0003778391,0.00036777044,0.00190958],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9928468,0.002276031,0.00059586595,0.0010872984,0.0029438122,0.00025039222],"domain_scores_gemma":[0.99444336,0.002942675,0.00022130182,0.0012065023,0.0010308647,0.00015523836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072771832,0.0014069357,0.0016185266,0.0031083745,0.001284176,0.0042548436,0.0045532817,0.0017239306,0.0067841974],"category_scores_gemma":[0.010201825,0.0015014574,0.0028081883,0.0026036694,0.0012653255,0.008926499,0.0047276462,0.0049802465,0.0037600533],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003306541,0.0003835975,0.000853421,0.0010554175,0.00046272148,0.00083641097,0.0010017625,0.013417724,0.024535956,0.09653187,0.018691573,0.841899],"study_design_scores_gemma":[0.00017363527,0.00019110192,0.00063702645,0.00041394585,0.00075319747,0.002091466,0.00047040152,0.49458787,0.08603976,0.27940688,0.13503644,0.0001983117],"about_ca_topic_score_codex":0.0015565271,"about_ca_topic_score_gemma":0.002835307,"teacher_disagreement_score":0.0072771832,"about_ca_system_score_codex":0.00061831047,"about_ca_system_score_gemma":0.0014577924,"threshold_uncertainty_score":0.038485825},"labels":[],"label_agreement":null},{"id":"W79607642","doi":"10.1007/978-3-642-31718-7_20","title":"Assimilation of Information in RDF-Based Knowledge Base","year":2012,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; RDF; Information retrieval; Relevance (law); RDF Schema; World Wide Web; Subject (documents); Semantic Web; SPARQL","score_opus":0.0582025072886846,"score_gpt":0.3034896741607876,"score_spread":0.245287166872103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W79607642","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04509562,0.0014645071,0.90288043,0.0016915941,0.00043551545,0.0004116474,0.0055523133,0.0056035137,0.03686484],"genre_scores_gemma":[0.30160505,0.003589354,0.65301305,0.0007306026,0.00013064874,0.00024230464,0.025580283,0.001324982,0.0137837175],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99828374,0.00035047912,0.00021805141,0.00031110516,0.0007351624,0.000101510916],"domain_scores_gemma":[0.9976434,0.00074324204,0.00008265974,0.0008803268,0.0006040064,0.000046281853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024052842,0.0006572815,0.0007626325,0.0039702593,0.00094224745,0.004769929,0.0019429548,0.0011480515,0.0032525642],"category_scores_gemma":[0.007332022,0.00069825765,0.0015370571,0.004913848,0.00086301594,0.0075386777,0.00306019,0.0016119627,0.0019447235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003928922,0.0006321344,0.006018392,0.0012074189,0.00051080785,0.003087347,0.004074532,0.08265137,0.025211379,0.21390882,0.031736415,0.6305685],"study_design_scores_gemma":[0.00005123839,0.00008731384,0.0032926158,0.00097171497,0.00069679983,0.0010072013,0.0022096809,0.4008094,0.062653825,0.28345397,0.24454857,0.00021771081],"about_ca_topic_score_codex":0.0136124715,"about_ca_topic_score_gemma":0.013330058,"teacher_disagreement_score":0.0136124715,"about_ca_system_score_codex":0.0011441158,"about_ca_system_score_gemma":0.0017867143,"threshold_uncertainty_score":0.02706647},"labels":[],"label_agreement":null},{"id":"W8032667","doi":"10.1007/978-1-4020-2712-3_11","title":"Unifying the Fallacies?","year":2004,"lang":"en","type":"book-chapter","venue":"Applied logic series","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Lethbridge","funders":"","keywords":"Complaint; Epistemology; Philosophy; Political science; Law","score_opus":0.0313216745250556,"score_gpt":0.22367799841614835,"score_spread":0.19235632389109275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W8032667","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021522466,0.03683836,0.3012927,0.11388883,0.007893629,0.00014524636,0.0007892094,0.0014535798,0.51617604],"genre_scores_gemma":[0.70089465,0.027247157,0.14447613,0.023708638,0.006815067,0.0007466307,0.00194213,0.0022756364,0.09189386],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99221206,0.0030699498,0.00074942526,0.0016963417,0.0015133674,0.00075881154],"domain_scores_gemma":[0.99140173,0.0036987863,0.00064930733,0.0028539882,0.0010548595,0.0003412732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008722798,0.0014025084,0.0034498086,0.0053579975,0.0058573694,0.014542636,0.0032403744,0.006245366,0.020109076],"category_scores_gemma":[0.02446728,0.0014212967,0.0018720198,0.0059552765,0.027186908,0.062835105,0.011435015,0.009610184,0.006482103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011881566,0.0000066100606,0.000084866006,0.000041147934,0.000011966728,0.000029075034,0.0006328191,0.00008238346,0.00003084252,0.98506784,0.0038550757,0.010145543],"study_design_scores_gemma":[0.0000035938622,0.0000013848413,0.000018366167,0.000043812444,0.000005001398,0.000026252303,0.00025381075,0.00014217859,0.000028843324,0.9859664,0.013506526,0.0000038651056],"about_ca_topic_score_codex":0.0039522373,"about_ca_topic_score_gemma":0.0039454536,"teacher_disagreement_score":0.020109076,"about_ca_system_score_codex":0.004264161,"about_ca_system_score_gemma":0.0038762896,"threshold_uncertainty_score":0.06727159},"labels":[],"label_agreement":null},{"id":"W829643941","doi":"10.4018/978-1-60960-842-2.ch014","title":"A Multi-Actor Ontology-Based Assistance Model","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Computer science; Adaptation (eye); Ontology; Semantic Web; Workflow; Hierarchy; OWL-S; World Wide Web; Human–computer interaction; Knowledge management; Social Semantic Web; Database","score_opus":0.0605481887153261,"score_gpt":0.2656877600565885,"score_spread":0.2051395713412624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W829643941","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049651535,0.00074557,0.8646126,0.0028238487,0.00019626749,0.0001876602,0.0002743687,0.00053048885,0.12566401],"genre_scores_gemma":[0.27093545,0.002235531,0.62534666,0.00072548905,0.00015090016,0.0007365569,0.0008731229,0.0001973125,0.09879913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99951935,0.00015234716,0.00003497834,0.00009745885,0.00014572252,0.00005005244],"domain_scores_gemma":[0.9996871,0.00011411482,0.000030018304,0.000045185716,0.00007256851,0.000051095056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007496586,0.00058297085,0.00027522584,0.00065635843,0.0008856159,0.0022032904,0.0017059197,0.0013044502,0.007162857],"category_scores_gemma":[0.0009910379,0.00032885093,0.0006951824,0.0008269977,0.0010337781,0.003027124,0.0019680124,0.0014456834,0.0023955305],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025604457,0.0000685777,0.00030553,0.0001345029,0.00002375716,0.00046864955,0.0007517718,0.05489787,0.0018675607,0.8870994,0.0084171165,0.04593973],"study_design_scores_gemma":[0.000024459607,0.000027168522,0.0002137311,0.00012203358,0.000039529663,0.00035784743,0.00031285794,0.39220253,0.0015217706,0.3860962,0.21905231,0.00002961002],"about_ca_topic_score_codex":0.0037655334,"about_ca_topic_score_gemma":0.004034334,"teacher_disagreement_score":0.007162857,"about_ca_system_score_codex":0.0012457139,"about_ca_system_score_gemma":0.0016019753,"threshold_uncertainty_score":0.0239622},"labels":[],"label_agreement":null},{"id":"W84208242","doi":"10.3217/jucs-014-18","title":"Further Advances in Document Engineering.","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Pontifícia Universidade Católica do Rio de Janeiro; Universidade do Minho; University at Buffalo; Korea Advanced Institute of Science and Technology; Universidade do Porto; Tsinghua University; Trent University; Université de Fribourg; Universidad de Buenos Aires; University of Waterloo; Korea University; Université de Rouen; Tampereen Yliopisto; Universidade de Brasília; Instituto Superior Técnico; University of Bristol; Università degli Studi di Siena; Indian Statistical Institute; Nottingham Trent University","keywords":"Computer science; Software engineering; Data science; Information retrieval","score_opus":0.02187995478076592,"score_gpt":0.22825810223781529,"score_spread":0.20637814745704935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W84208242","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00626454,0.16743845,0.67996025,0.019603139,0.006669653,0.00019738161,0.0018037249,0.006493428,0.11156944],"genre_scores_gemma":[0.06736153,0.12785324,0.6591775,0.0049593947,0.004726251,0.00023835342,0.007175147,0.002551246,0.12595737],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99490535,0.0012457569,0.0004238145,0.0010256376,0.0021270672,0.00027232274],"domain_scores_gemma":[0.98610735,0.0048806956,0.00026692165,0.004416516,0.0038973426,0.00043119228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074287523,0.0009178223,0.0012048732,0.004293303,0.00092945975,0.005326915,0.0024136018,0.0020216068,0.028001603],"category_scores_gemma":[0.015796514,0.0006223963,0.0013367388,0.0048405076,0.0017398049,0.014103041,0.002432648,0.0030323565,0.026678458],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060009486,0.00011662791,0.00037254964,0.00094149914,0.000049843355,0.00008609466,0.0003491118,0.000994469,0.0036712796,0.16534528,0.08756141,0.7404519],"study_design_scores_gemma":[0.000016849066,0.000034130477,0.00044217196,0.00031709298,0.000042638727,0.0004166807,0.00015952597,0.004791716,0.0044225315,0.16217768,0.8271484,0.000030570063],"about_ca_topic_score_codex":0.0034592112,"about_ca_topic_score_gemma":0.0027628804,"teacher_disagreement_score":0.028001603,"about_ca_system_score_codex":0.0021989704,"about_ca_system_score_gemma":0.0021537675,"threshold_uncertainty_score":0.09367472},"labels":[],"label_agreement":null},{"id":"W846093468","doi":"","title":"The Guide for Electronic Theses and Dissertations","year":2001,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; World Wide Web","score_opus":0.01645370228657953,"score_gpt":0.2040545899069011,"score_spread":0.18760088762032157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W846093468","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000393229,0.0059890463,0.017886223,0.015143447,0.009575563,0.0018527174,0.022221219,0.0086798025,0.9182588],"genre_scores_gemma":[0.00094227557,0.0066897264,0.016764317,0.0027375766,0.0009164807,0.0009351411,0.008952723,0.0021818466,0.95988],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996092,0.0006970757,0.00050001906,0.000246743,0.0022645448,0.00019955008],"domain_scores_gemma":[0.98887324,0.002262035,0.00056404853,0.0017533996,0.00500654,0.0015407552],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0043975026,0.0010029991,0.001199593,0.0058380538,0.0019707857,0.008620975,0.0018189127,0.0018838922,0.5308088],"category_scores_gemma":[0.020381998,0.0009926416,0.0007280813,0.0070284647,0.0010932148,0.007094547,0.0040367027,0.004191246,0.5979444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006426655,0.000026597865,0.00004350531,0.0001354828,0.0000012344192,0.000019522318,0.0000896931,0.000038202106,0.00012868544,0.006347299,0.902073,0.091090284],"study_design_scores_gemma":[0.0000014229989,0.0000034437248,0.000052492134,0.000070305505,3.9202735e-7,0.000020393096,0.00003861988,0.0000067301257,0.000017541595,0.0012117862,0.99857414,0.000002744815],"about_ca_topic_score_codex":0.001967358,"about_ca_topic_score_gemma":0.005823818,"teacher_disagreement_score":0.991379,"about_ca_system_score_codex":0.001489387,"about_ca_system_score_gemma":0.0069756764,"threshold_uncertainty_score":0.6692443},"labels":[],"label_agreement":null},{"id":"W859245369","doi":"10.1609/aaai.v29i1.9188","title":"Extended Property Paths: Writing More SPARQL Queries in a Succinct Way","year":2015,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Horizon 2020; European Social Fund; Regione Calabria; European Commission","keywords":"SPARQL; Computer science; Property (philosophy); Syntax; Class (philosophy); Semantics (computer science); Named graph; Programming language; Information retrieval; Theoretical computer science; RDF; Semantic Web; Artificial intelligence","score_opus":0.12563776563194534,"score_gpt":0.3099432699179239,"score_spread":0.18430550428597858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W859245369","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007381704,0.00009306788,0.97384214,0.00050114194,0.00013270382,0.0002738515,0.0020375338,0.013069575,0.0026682622],"genre_scores_gemma":[0.09637698,0.00027729553,0.8860313,0.0010028867,0.00011512608,0.00054415147,0.0060551697,0.004994048,0.0046029664],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9936739,0.0015646963,0.00086017564,0.0008987879,0.00266748,0.00033491486],"domain_scores_gemma":[0.9846311,0.007125131,0.0007299616,0.004278153,0.0029781226,0.00025755944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006073249,0.0013919438,0.00077065517,0.0012484483,0.0006259075,0.0035055666,0.0021585473,0.0012537977,0.012228926],"category_scores_gemma":[0.0192882,0.0009338635,0.0014046658,0.001896466,0.0014229612,0.012124269,0.003729909,0.0029919026,0.0029086208],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001539792,0.00082098553,0.007406695,0.0022853378,0.00036476593,0.001632281,0.002547714,0.053535163,0.06949975,0.30469832,0.076419964,0.4792493],"study_design_scores_gemma":[0.00029603447,0.00048206878,0.001110778,0.0002798789,0.00017235611,0.0013169636,0.00065410306,0.3510701,0.1102344,0.29701656,0.23711717,0.0002495154],"about_ca_topic_score_codex":0.0023029735,"about_ca_topic_score_gemma":0.0030660043,"teacher_disagreement_score":0.012228926,"about_ca_system_score_codex":0.0008162619,"about_ca_system_score_gemma":0.0016057533,"threshold_uncertainty_score":0.040909886},"labels":[],"label_agreement":null},{"id":"W86163538","doi":"10.1007/978-3-642-39666-3_8","title":"An Ontology-Based Reasoning Approach for Electric Power Utilities","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Computer science; Ontology; Expressive power; Electric power; Power (physics); Artificial intelligence; Theoretical computer science; Epistemology","score_opus":0.021259104125215166,"score_gpt":0.2525050600601676,"score_spread":0.23124595593495242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W86163538","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033688415,0.0004370038,0.9780398,0.00050713733,0.00011378073,0.00013016207,0.00040094668,0.00096082315,0.016041601],"genre_scores_gemma":[0.07672076,0.00095515634,0.9102805,0.00023863575,0.00006643058,0.00015669217,0.0013422014,0.00019920841,0.010040394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989605,0.00022360982,0.00012632342,0.00017729036,0.0004399686,0.0000722281],"domain_scores_gemma":[0.99952567,0.00022147966,0.00003142256,0.000077141136,0.000115531846,0.000028697248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012835041,0.00079190044,0.00069429656,0.0022034675,0.0013894585,0.0040381793,0.0026500206,0.0013304562,0.006701933],"category_scores_gemma":[0.002240058,0.0007034269,0.002482114,0.002508387,0.00093349075,0.006396353,0.0023670322,0.002058959,0.0014100388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006765746,0.00025902782,0.00053537614,0.00043838966,0.00015164462,0.0011637309,0.0014533553,0.044973493,0.0050830473,0.7138159,0.014246327,0.21781197],"study_design_scores_gemma":[0.000039730894,0.000029064886,0.00036145438,0.00022615421,0.00020734176,0.0005965642,0.0006738271,0.30347022,0.0048752204,0.5293446,0.1601155,0.00006022896],"about_ca_topic_score_codex":0.011837978,"about_ca_topic_score_gemma":0.019687293,"teacher_disagreement_score":0.011837978,"about_ca_system_score_codex":0.0012123269,"about_ca_system_score_gemma":0.0017795482,"threshold_uncertainty_score":0.023538172},"labels":[],"label_agreement":null},{"id":"W86748277","doi":"","title":"SMART: a web-based, ontology-driven, semantic web query answering application","year":2007,"lang":"en","type":"article","venue":"Research Publications (Maastricht University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"SPARQL; Computer science; Information retrieval; Semantic Web; Semantic Web Rule Language; RDF; Semantic Web Stack; Social Semantic Web; World Wide Web; RDF query language; OWL-S; Ontology; Semantic analytics; Web search query; Web query classification; Search engine","score_opus":0.049170645512215345,"score_gpt":0.30792147641906376,"score_spread":0.2587508309068484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W86748277","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01644298,0.00038256758,0.700914,0.00080972025,0.00013350138,0.001113461,0.008289325,0.25326788,0.018646466],"genre_scores_gemma":[0.1671116,0.001141082,0.7614513,0.001840664,0.00013920938,0.0014414865,0.033628136,0.010885063,0.022361469],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989507,0.00017155288,0.00011974369,0.0002148077,0.0004642157,0.00007888736],"domain_scores_gemma":[0.9991177,0.00044129108,0.00007293802,0.00014400113,0.00013879324,0.000085326465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018147056,0.0011237983,0.0011742417,0.0020199472,0.00063824456,0.0021381064,0.0023800374,0.0015354493,0.010203096],"category_scores_gemma":[0.0031899181,0.0008387767,0.0010606418,0.0019474446,0.00083959114,0.0034559418,0.0025609743,0.0012664855,0.0062980438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024892068,0.0010263862,0.0051415595,0.0027511562,0.0004784948,0.0025176709,0.0020364062,0.024387471,0.072314285,0.065580375,0.34125668,0.48002028],"study_design_scores_gemma":[0.00087643263,0.0004255453,0.0035044705,0.00028917257,0.00021634986,0.002156608,0.00075237994,0.52054125,0.05738239,0.07487924,0.33868435,0.00029182743],"about_ca_topic_score_codex":0.0021142191,"about_ca_topic_score_gemma":0.0026996816,"teacher_disagreement_score":0.010203096,"about_ca_system_score_codex":0.00065907545,"about_ca_system_score_gemma":0.0009949224,"threshold_uncertainty_score":0.03413272},"labels":[],"label_agreement":null},{"id":"W88600376","doi":"10.1007/978-1-4419-1219-0","title":"Web 2.0 &amp; Semantic Web","year":2009,"lang":"en","type":"book","venue":"Annals of information systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"World Wide Web; Semantic Web; Semantic Web Stack; Computer science; Social Semantic Web; Semantic analytics; Information retrieval","score_opus":0.05302063527009639,"score_gpt":0.2882122277612964,"score_spread":0.2351915924912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W88600376","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006850977,0.08532821,0.13026758,0.0046498026,0.0034900971,0.00023416914,0.003372841,0.0055587036,0.7664135],"genre_scores_gemma":[0.009709523,0.12257255,0.10490877,0.0040646987,0.0020999229,0.00043022598,0.011560613,0.0049955207,0.7396581],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930143,0.00006073833,0.000044186345,0.00010316204,0.00045390692,0.000036624257],"domain_scores_gemma":[0.9995116,0.00019249227,0.00003629514,0.00007610673,0.00013089442,0.000052566775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052669866,0.0017343328,0.0011204814,0.0050945687,0.0009788871,0.005473013,0.0015588847,0.0022092136,0.03401437],"category_scores_gemma":[0.00144547,0.0009785966,0.0006565687,0.010523587,0.0015384598,0.008760307,0.0020095157,0.002894951,0.05049013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001932721,0.000045565263,0.00007614796,0.0010510768,0.000027164495,0.00013569639,0.00014650088,0.0009911418,0.0011070538,0.1605616,0.51148593,0.32435265],"study_design_scores_gemma":[0.0000034879615,0.0000042834345,0.0000902002,0.00021753687,0.0000069929847,0.00020914631,0.000030433874,0.0006056745,0.00031173884,0.061483365,0.9370255,0.000011643459],"about_ca_topic_score_codex":0.002851318,"about_ca_topic_score_gemma":0.003451399,"teacher_disagreement_score":0.03401437,"about_ca_system_score_codex":0.0012498307,"about_ca_system_score_gemma":0.0018075737,"threshold_uncertainty_score":0.11378944},"labels":[],"label_agreement":null},{"id":"W90873850","doi":"10.4018/978-1-59140-989-2.ch147","title":"Semantic Web Implications for Web Portals","year":2007,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"World Wide Web; Gateway (web page); Computer science; Web standards; Social Semantic Web; Semantic Web; Web service; Web 2.0; Web development; Data Web; Internet privacy; Business","score_opus":0.04871639499681451,"score_gpt":0.301443809819975,"score_spread":0.25272741482316047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W90873850","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004770614,0.03612522,0.076535955,0.08566752,0.0029090587,0.000078595345,0.00032435133,0.0003511197,0.7932375],"genre_scores_gemma":[0.5092019,0.10372201,0.09929037,0.027131405,0.007843992,0.0006950229,0.0020675615,0.00091867533,0.24912903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997894,0.0009598843,0.00012198033,0.0001952211,0.00068291934,0.00014603631],"domain_scores_gemma":[0.99667764,0.002248824,0.00011951611,0.00031327186,0.00044224743,0.00019853156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030031393,0.0007530485,0.0005977782,0.0029471014,0.0032279708,0.010983255,0.0013209305,0.0043586185,0.013957508],"category_scores_gemma":[0.004934329,0.00050993456,0.0008187941,0.004878815,0.010220263,0.023868334,0.004085694,0.0070897955,0.003994681],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002271862,0.0000057681864,0.000016739643,0.000046767047,0.0000015837888,0.000041694322,0.00023352481,0.00012582722,0.000021557109,0.98994154,0.0055134986,0.0040492117],"study_design_scores_gemma":[0.0000038042242,0.0000016417126,0.000030415904,0.00012402028,0.0000023365908,0.00008478591,0.00028954758,0.00041774535,0.0000597444,0.8893067,0.10967593,0.0000033961096],"about_ca_topic_score_codex":0.0026773585,"about_ca_topic_score_gemma":0.0023053412,"teacher_disagreement_score":0.013957508,"about_ca_system_score_codex":0.0044941045,"about_ca_system_score_gemma":0.0024283759,"threshold_uncertainty_score":0.04669249},"labels":[],"label_agreement":null},{"id":"W922504128","doi":"","title":"Representing and Publishing Cyber Forensic Data and its Provenance Metadata: From Open to Closed Consumption","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metadata; Computer science; World Wide Web; Identifier; RDF; Process (computing); Resource (disambiguation); Data science; Semantic Web","score_opus":0.11893180213210933,"score_gpt":0.3224783365739225,"score_spread":0.20354653444181317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W922504128","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062408034,0.0034893872,0.8872958,0.00984909,0.0007218858,0.0008674294,0.0060985754,0.005510274,0.023759577],"genre_scores_gemma":[0.44181854,0.005798053,0.52544606,0.0013330892,0.00063322403,0.00046260748,0.013948291,0.0020185132,0.0085416185],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9880271,0.00414121,0.0020169343,0.0013075556,0.004085301,0.00042199355],"domain_scores_gemma":[0.9434473,0.01368926,0.00379747,0.028452491,0.008952923,0.0016606349],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0169114,0.00047706152,0.00076850306,0.0066067125,0.002579856,0.0153761,0.0017634034,0.0019766176,0.002370486],"category_scores_gemma":[0.049622856,0.0009987259,0.0010149489,0.008878649,0.0049025784,0.03275247,0.010081731,0.0031772766,0.00127182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072484947,0.00048064857,0.01855252,0.001093163,0.00015997012,0.0019739128,0.016019769,0.011730943,0.010815303,0.56383145,0.021407396,0.35321003],"study_design_scores_gemma":[0.000084325,0.00016104724,0.0056198547,0.0022788965,0.00026259382,0.0014676017,0.009216548,0.061361596,0.03114386,0.47660813,0.41153008,0.00026548325],"about_ca_topic_score_codex":0.0058413865,"about_ca_topic_score_gemma":0.005030891,"teacher_disagreement_score":0.9846239,"about_ca_system_score_codex":0.0019402207,"about_ca_system_score_gemma":0.0056857183,"threshold_uncertainty_score":0.08943713},"labels":[],"label_agreement":null},{"id":"W9374102","doi":"","title":"Analyzing Knowledge Management Systems: A Veritistic Approach.","year":2004,"lang":"en","type":"article","venue":"Seminars in Oncology","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Knowledge management; Usability; Personal knowledge management; Computer science; Knowledge engineering; Epistemology; Organizational learning; Psychology; Human–computer interaction","score_opus":0.021243062821472338,"score_gpt":0.2947792621978632,"score_spread":0.2735361993763909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W9374102","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056346394,0.0006894884,0.9757815,0.0011259406,0.00007329846,0.00049122114,0.0017226209,0.009757729,0.004723564],"genre_scores_gemma":[0.053298708,0.00034321606,0.94259995,0.000103225415,0.000049076818,0.00072993396,0.0017268559,0.00030117834,0.00084792485],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99364024,0.0036613129,0.0005197486,0.0007724132,0.0012044093,0.00020181142],"domain_scores_gemma":[0.9728009,0.022065496,0.0010224761,0.0018340267,0.001918616,0.0003584019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0149150975,0.0012636087,0.0011355571,0.00527939,0.000897566,0.0045379256,0.002586087,0.000984657,0.009711971],"category_scores_gemma":[0.03255029,0.0009768566,0.0015449926,0.0035184915,0.0012678474,0.0030862277,0.0021518234,0.001549852,0.0018556833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003107053,0.00029703008,0.010304112,0.0011852187,0.00085773476,0.0002548471,0.000731176,0.068471216,0.00142863,0.06674986,0.023030784,0.82637876],"study_design_scores_gemma":[0.00021247788,0.0001722667,0.0033865457,0.00029471988,0.00031454946,0.0002525953,0.00082981563,0.7731168,0.0019622406,0.18791786,0.031489037,0.000051183],"about_ca_topic_score_codex":0.006542289,"about_ca_topic_score_gemma":0.007876166,"teacher_disagreement_score":0.0149150975,"about_ca_system_score_codex":0.0016711322,"about_ca_system_score_gemma":0.004094742,"threshold_uncertainty_score":0.078879476},"labels":[],"label_agreement":null},{"id":"W94266648","doi":"","title":"Special Track on Semantics, Ontologies, and Computational Linguistics.","year":2009,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Semantics (computer science); Computational linguistics; Computational semantics; Natural language processing; Track (disk drive); Artificial intelligence; Programming language; Linguistics; Operational semantics; Philosophy","score_opus":0.07335193592274415,"score_gpt":0.36793643765631623,"score_spread":0.2945845017335721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W94266648","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018644739,0.05656701,0.0072685205,0.06634767,0.40352684,0.0005359831,0.006681212,0.0016972685,0.45551097],"genre_scores_gemma":[0.0035846545,0.023962637,0.0014807621,0.004179058,0.08801342,0.00018178223,0.005647688,0.0005128404,0.8724372],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988661,0.00012518742,0.00007695015,0.00025933355,0.0004559265,0.00021654472],"domain_scores_gemma":[0.9925201,0.00081240176,0.00024386655,0.0004748555,0.0029014149,0.0030473857],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027148216,0.001671947,0.0027364918,0.0052806875,0.0026236887,0.009492803,0.0023054467,0.0035952982,0.31337434],"category_scores_gemma":[0.0045847106,0.0005300107,0.0014319589,0.006662636,0.00090142613,0.0088638365,0.00376085,0.004036007,0.17386705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024499368,0.000029521763,0.000105429724,0.00013064554,0.000006613287,0.000028463895,0.000024859226,0.000030637035,0.00013433518,0.0019170969,0.97020155,0.027366264],"study_design_scores_gemma":[0.000010848272,0.00003510592,0.00040311163,0.0001544481,0.000009462618,0.00005531023,0.00006340696,0.000108787885,0.00010758335,0.0020698083,0.99697435,0.000007751107],"about_ca_topic_score_codex":0.0056093927,"about_ca_topic_score_gemma":0.017318418,"teacher_disagreement_score":0.31337434,"about_ca_system_score_codex":0.0028677424,"about_ca_system_score_gemma":0.0051736697,"threshold_uncertainty_score":0.9793882},"labels":[],"label_agreement":null},{"id":"W944302435","doi":"10.1007/978-3-319-06826-8_17","title":"Parallel OWL Reasoning: Merge Classification","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Merge (version control); Computer science; Artificial intelligence; Information retrieval","score_opus":0.029379036458399694,"score_gpt":0.25996907751577714,"score_spread":0.23059004105737743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W944302435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00707229,0.00048169968,0.9614271,0.00055903883,0.00025509592,0.00023431299,0.00096339424,0.010750075,0.018257005],"genre_scores_gemma":[0.067850836,0.0004308473,0.91178954,0.0004610923,0.00011199777,0.00016613494,0.004900316,0.0017381371,0.012551018],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996772,0.0005519513,0.0002847522,0.0007544157,0.0013706017,0.00026626044],"domain_scores_gemma":[0.99687505,0.0009583931,0.00010374888,0.0013816715,0.000578101,0.000102954844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003382539,0.00142722,0.0013017954,0.0026182625,0.0015740463,0.005106905,0.005225085,0.0016750857,0.023489779],"category_scores_gemma":[0.0074828365,0.0015162202,0.0030713156,0.003354056,0.001416359,0.011783105,0.0061676963,0.0031092982,0.007906413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048050267,0.00053363125,0.0012302574,0.0004396022,0.00021003955,0.00029941564,0.00045497224,0.013818616,0.006498939,0.100642465,0.05364019,0.82175136],"study_design_scores_gemma":[0.00017197608,0.00005625013,0.0006861615,0.00016158276,0.0002803978,0.00042723748,0.00037097483,0.30660605,0.029559124,0.5674151,0.094191074,0.00007408932],"about_ca_topic_score_codex":0.008194697,"about_ca_topic_score_gemma":0.012316078,"teacher_disagreement_score":0.023489779,"about_ca_system_score_codex":0.0017986044,"about_ca_system_score_gemma":0.0027753145,"threshold_uncertainty_score":0.078581095},"labels":[],"label_agreement":null},{"id":"W96126339","doi":"10.1007/978-3-642-13428-9_1","title":"Tagging and Fuzzy Sets","year":2010,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Process (computing); Resource (disambiguation); Web resource; Fuzzy logic; Simple (philosophy); World Wide Web; Software; Information retrieval; Artificial intelligence","score_opus":0.10588209276258868,"score_gpt":0.36233025518015965,"score_spread":0.25644816241757096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W96126339","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013361001,0.060517367,0.45025513,0.011224462,0.0031903635,0.000092678434,0.0004327113,0.0003495193,0.4605767],"genre_scores_gemma":[0.5134433,0.0355909,0.18700272,0.0030947938,0.0034098052,0.00029863403,0.0012852384,0.00027415136,0.25560045],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898154,0.00033860398,0.00006851736,0.00021169704,0.00034874943,0.00005079498],"domain_scores_gemma":[0.9986732,0.00084550615,0.00005490049,0.00021680168,0.00018088151,0.000028823453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012870744,0.0006945146,0.00088426634,0.0027613123,0.0016754565,0.004215882,0.0009776191,0.0016228118,0.007977003],"category_scores_gemma":[0.004340024,0.0004477482,0.00057964044,0.003905439,0.005603194,0.00840398,0.0010701607,0.0017856931,0.0015857846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051292477,0.000006084281,0.000052964926,0.000045496494,0.000005078621,0.000026799704,0.00019781801,0.0005175949,0.000105581945,0.9711179,0.005287835,0.022631679],"study_design_scores_gemma":[0.0000013233752,0.0000024861865,0.00005631037,0.00003246366,0.0000031976042,0.000047447807,0.00006095103,0.0012994644,0.00010518135,0.97350097,0.024885464,0.000004754494],"about_ca_topic_score_codex":0.003828433,"about_ca_topic_score_gemma":0.0029404028,"teacher_disagreement_score":0.007977003,"about_ca_system_score_codex":0.0029960703,"about_ca_system_score_gemma":0.0008274635,"threshold_uncertainty_score":0.026685774},"labels":[],"label_agreement":null},{"id":"W96567621","doi":"","title":"Searching Web Resources Using Ontology Mappings.","year":2005,"lang":"en","type":"article","venue":"International Conference on Knowledge Capture","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Ontology; Information retrieval; OWL-S; World Wide Web; Semantic Web; Process ontology; Ontology Inference Layer; Upper ontology; Ontology-based data integration; Semantic Web Stack; Open Biomedical Ontologies; Web standards; Simple Knowledge Organization System; Web page; Semantic analytics","score_opus":0.07512974172380976,"score_gpt":0.3378482312475124,"score_spread":0.26271848952370264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W96567621","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00713787,0.0008645756,0.9775009,0.0005876913,0.00011676748,0.00029069535,0.00032236442,0.0020155928,0.011163521],"genre_scores_gemma":[0.0703385,0.0014840629,0.91870165,0.00028686883,0.000046827547,0.00027413238,0.0022634242,0.00035503355,0.006249488],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966557,0.0010183089,0.0003387205,0.0005085132,0.0013152747,0.00016347977],"domain_scores_gemma":[0.99794275,0.0010177941,0.00013823464,0.000549346,0.0002923735,0.00005947717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025532271,0.0008751692,0.0008819175,0.0048822747,0.0016339825,0.0030855322,0.0016906479,0.0015403823,0.004042606],"category_scores_gemma":[0.0084124645,0.00053798535,0.0015095163,0.0038803606,0.0010180934,0.011095199,0.0037979123,0.0011543626,0.0024712097],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015028554,0.0002930524,0.0023102115,0.0012100136,0.0002692916,0.00083131937,0.0028908977,0.007875177,0.015759166,0.282569,0.016698165,0.66914344],"study_design_scores_gemma":[0.000060544975,0.00012940205,0.0017288525,0.0009852203,0.00024564884,0.0023161182,0.0030434073,0.12194686,0.034226578,0.3844542,0.45069057,0.00017268298],"about_ca_topic_score_codex":0.0042385994,"about_ca_topic_score_gemma":0.004944602,"teacher_disagreement_score":0.0048822747,"about_ca_system_score_codex":0.00083577493,"about_ca_system_score_gemma":0.0014679325,"threshold_uncertainty_score":0.013523817},"labels":[],"label_agreement":null},{"id":"W97230574","doi":"10.22215/etd/2007-06200","title":"Handling inconsistency in databases and data integration systems","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Database; Computer science","score_opus":0.09499462322220574,"score_gpt":0.3752995957968158,"score_spread":0.28030497257461007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W97230574","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05089202,0.0076954826,0.92162716,0.0064942003,0.0004630368,0.00044913407,0.0003621205,0.0024615035,0.009555419],"genre_scores_gemma":[0.37540656,0.003498628,0.6068488,0.00151217,0.00045040494,0.00042559055,0.0018879373,0.000942603,0.009027345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9667068,0.014373643,0.0045445077,0.0027330762,0.010521972,0.0011198816],"domain_scores_gemma":[0.9598637,0.022640541,0.0023992653,0.00903997,0.005451376,0.0006051091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026451956,0.00077789254,0.0019233183,0.004467629,0.0023761063,0.010272422,0.004509784,0.003470252,0.0036275524],"category_scores_gemma":[0.07945639,0.0017749022,0.0015301292,0.0066539217,0.0040883375,0.02013892,0.0067462707,0.0041921134,0.00090927084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005492247,0.0004122382,0.015055611,0.0012549071,0.000491724,0.0020043445,0.007501833,0.04073543,0.0043396023,0.40054995,0.015973741,0.5111315],"study_design_scores_gemma":[0.00015696579,0.00019664784,0.0027549602,0.00057457277,0.00056232524,0.0018663453,0.0028316074,0.20598939,0.014176537,0.67813957,0.09259602,0.00015500044],"about_ca_topic_score_codex":0.0044053113,"about_ca_topic_score_gemma":0.0028581645,"teacher_disagreement_score":0.026451956,"about_ca_system_score_codex":0.002249117,"about_ca_system_score_gemma":0.003901142,"threshold_uncertainty_score":0.139893},"labels":[],"label_agreement":null},{"id":"W97802767","doi":"","title":"A Context-based Approach for Complex Semantic Matching.","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Matching (statistics); Semantic matching; Context (archaeology); Task (project management); Artificial intelligence; Information retrieval; Data mining; Mathematics; Engineering","score_opus":0.055103175164177225,"score_gpt":0.28950585139674256,"score_spread":0.23440267623256533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W97802767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052133305,0.00050735974,0.9856127,0.0004024316,0.00006950865,0.00019931293,0.00025185448,0.0011592036,0.0065842397],"genre_scores_gemma":[0.092390396,0.0003337447,0.9040803,0.00015529337,0.00003795508,0.00018280624,0.00050165586,0.0001591719,0.0021587026],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962269,0.0015038636,0.00033351107,0.0007676048,0.0010031534,0.00016500424],"domain_scores_gemma":[0.9968266,0.001369861,0.00022152837,0.0009025691,0.0005146626,0.00016476978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037462371,0.0007488685,0.0007607558,0.004589202,0.0020008544,0.004089602,0.002070005,0.0015154516,0.006340072],"category_scores_gemma":[0.012134742,0.00067569566,0.0015042552,0.0039004416,0.0020237707,0.0076173632,0.0060669347,0.0017114442,0.0012192073],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019669277,0.00019230832,0.0023004324,0.00040797182,0.00016692907,0.0006622409,0.002104565,0.014098335,0.0066329925,0.6211222,0.008781005,0.34333435],"study_design_scores_gemma":[0.000050002654,0.00007757825,0.0009174589,0.00029905757,0.00017927331,0.001007589,0.0014202781,0.25800604,0.009652316,0.6207261,0.10757906,0.000085252206],"about_ca_topic_score_codex":0.004399125,"about_ca_topic_score_gemma":0.009969884,"teacher_disagreement_score":0.006340072,"about_ca_system_score_codex":0.0013219203,"about_ca_system_score_gemma":0.002207995,"threshold_uncertainty_score":0.021209717},"labels":[],"label_agreement":null},{"id":"W98705279","doi":"","title":"Towards Domain-Centric Ontology Development and Maintenance Frameworks.","year":2007,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ontology; Computer science; Process ontology; Domain (mathematical analysis); IDEF5; Ontology-based data integration; Process (computing); Software engineering; Upper ontology; Data science; Knowledge management; Domain knowledge; Mathematics","score_opus":0.013833181130459806,"score_gpt":0.24996358833737783,"score_spread":0.23613040720691802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W98705279","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032215938,0.0012198952,0.9881846,0.001906238,0.00006444967,0.00019477711,0.00005040418,0.0004985709,0.0046594846],"genre_scores_gemma":[0.027364356,0.0007352637,0.9696707,0.00030889537,0.000036082216,0.00022780709,0.0002627771,0.000112543836,0.0012816158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99001163,0.004154155,0.0008029841,0.0013119574,0.0032280998,0.0004912154],"domain_scores_gemma":[0.98500663,0.00456525,0.001827972,0.004007597,0.0035933836,0.0009991989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029803641,0.00089812675,0.0007603749,0.0032712033,0.0020137958,0.0074714166,0.004746907,0.0032415064,0.0014335124],"category_scores_gemma":[0.019195428,0.0010165108,0.0017947314,0.003344429,0.0044212947,0.011040241,0.0052993633,0.0038990057,0.0008570934],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027055323,0.00018031904,0.0019762958,0.0005158382,0.000088077984,0.00027668502,0.002033552,0.014487736,0.0024613384,0.8705278,0.004499925,0.10292528],"study_design_scores_gemma":[0.000047623496,0.00012394108,0.0010931458,0.0008877734,0.00011455235,0.00087237137,0.0022079183,0.12131419,0.0061076027,0.6584139,0.20873135,0.000085593296],"about_ca_topic_score_codex":0.0042373217,"about_ca_topic_score_gemma":0.0055854553,"teacher_disagreement_score":0.029803641,"about_ca_system_score_codex":0.0036988265,"about_ca_system_score_gemma":0.009339411,"threshold_uncertainty_score":0.15761864},"labels":[],"label_agreement":null},{"id":"W99166719","doi":"","title":"Textual Software Requirements Specifications in the Context of Software Architecting.","year":2010,"lang":"en","type":"article","venue":"Software Engineering and Knowledge Engineering","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Software engineering; Software requirements specification; Context (archaeology); Software; Verification and validation; Software construction; Software development; Programming language; Engineering","score_opus":0.024936261181086206,"score_gpt":0.24171341972385882,"score_spread":0.2167771585427726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W99166719","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034137823,0.0030226274,0.88352036,0.014025323,0.00046218288,0.00066658284,0.0018978551,0.0012207046,0.061046597],"genre_scores_gemma":[0.46130434,0.002382416,0.5158702,0.0017905096,0.00031177493,0.000820006,0.004804505,0.00042849785,0.01228778],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9799099,0.0143716335,0.0016808045,0.0004992792,0.0031772428,0.00036109335],"domain_scores_gemma":[0.9421646,0.043226656,0.0023830417,0.0037553615,0.007910463,0.00055978366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012313769,0.0006390647,0.00052537996,0.0025649641,0.0016998216,0.0046960716,0.0022656885,0.0031796107,0.004834739],"category_scores_gemma":[0.056643967,0.0009932829,0.0008158945,0.0027032038,0.0033174339,0.009156648,0.0021963103,0.0026908824,0.0016313912],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013331884,0.00016562376,0.00097556436,0.0009215381,0.000047617832,0.0015020644,0.008047082,0.012994518,0.00374134,0.8912021,0.017440015,0.06282933],"study_design_scores_gemma":[0.00008493444,0.000117810996,0.0011916975,0.0015833485,0.00011539137,0.0012278084,0.008565012,0.06458575,0.008971267,0.74763644,0.16582656,0.000093952905],"about_ca_topic_score_codex":0.00719167,"about_ca_topic_score_gemma":0.010199846,"teacher_disagreement_score":0.012313769,"about_ca_system_score_codex":0.0023124358,"about_ca_system_score_gemma":0.004030879,"threshold_uncertainty_score":0.06512219},"labels":[],"label_agreement":null},{"id":"W995085850","doi":"","title":"Compact Hierarchical Product And Process Representation Structures For Construction Planning","year":2006,"lang":"en","type":"article","venue":"Proceedings of the Joint CIB W78, W102, ICCCBE, ICCC, and DMUCE International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, 14-16 June","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Representation (politics); Process (computing); Mereology; Relation (database); Resource (disambiguation); Product (mathematics); Dimension (graph theory); Planner; Aggregate (composite); Set (abstract data type); Generalization; Plan (archaeology); Modular design; Software engineering; Artificial intelligence; Data mining; Mathematics; Programming language","score_opus":0.01974838214933889,"score_gpt":0.2789901460984071,"score_spread":0.2592417639490682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W995085850","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014891832,0.0001064388,0.9952224,0.00015126445,0.000013223404,0.000067710316,0.00026546067,0.00054317835,0.0021411479],"genre_scores_gemma":[0.05224561,0.0003214949,0.94407547,0.00007444641,0.000022575456,0.00033293464,0.001246803,0.00015508523,0.0015255802],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823356,0.0005953915,0.00022891776,0.0003122073,0.00054271164,0.00008712319],"domain_scores_gemma":[0.99770135,0.0009100908,0.0002880363,0.0007675842,0.0002657691,0.00006715544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021174457,0.00085084897,0.00067313376,0.001974086,0.0009524816,0.0040019937,0.0016034798,0.0012384906,0.0048506455],"category_scores_gemma":[0.005879065,0.00076208403,0.002026274,0.0034493264,0.0020383534,0.0072030057,0.0020841854,0.0021933664,0.0013910811],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003400972,0.00003881999,0.00032044,0.00020883032,0.000026605709,0.00014248435,0.00084925565,0.06607594,0.0013666782,0.8588455,0.002741202,0.06935029],"study_design_scores_gemma":[0.000022960205,0.000056867117,0.00020924225,0.00017180048,0.000059630733,0.00016298008,0.0002774969,0.3296129,0.0020617112,0.6025844,0.064743,0.000036951562],"about_ca_topic_score_codex":0.0059126494,"about_ca_topic_score_gemma":0.008230394,"teacher_disagreement_score":0.0059126494,"about_ca_system_score_codex":0.0017398736,"about_ca_system_score_gemma":0.0017618296,"threshold_uncertainty_score":0.016227067},"labels":[],"label_agreement":null}]}