{"meta":{"query_hash":"1fc94ddb70fd","filters":{"venue":"Applied Ontology"},"cohort_total":18,"direct_labels_cover":0,"predictions_cover":18,"exported":18,"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/1fc94ddb70fd","api":"https://metacan.xera.ac/api/v1/cohort?venue=Applied+Ontology"},"results":[{"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03463769,0.022637606,0.8365542,0.017775327,0.016385714,0.0031159983,0.000019275829,0.0011931054,0.067681074],"genre_scores_gemma":[0.98318547,0.00008011003,0.011326514,0.0030163778,0.0007611019,0.0008998844,0.000015558351,0.000029996003,0.000684997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99651414,0.00040642332,0.0006641078,0.0005853097,0.00021421775,0.0016158238],"domain_scores_gemma":[0.9951222,0.0022525406,0.00034310712,0.0019678564,0.000121380384,0.00019292191],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013075365,0.0004196616,0.0008718489,0.00017139189,0.00052908936,0.00009194612,0.002951515,0.00054410903,0.00002002759],"category_scores_gemma":[0.000138322,0.00029838382,0.00017419587,0.00027287038,0.00055410905,0.00029804703,0.00060392724,0.0004463471,0.00025017033],"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":[0.00006516573,0.00017362244,0.0062413765,0.000042294312,0.0001311258,0.000005476233,0.0014077647,0.000009904098,0.00023412541,0.9416752,0.024483915,0.02553002],"study_design_scores_gemma":[0.0024003275,0.000391489,0.028499668,0.000017812716,0.00015436062,0.0005162566,0.0022953388,0.0013469828,0.00068718026,0.025578061,0.93714976,0.0009627384],"about_ca_topic_score_codex":0.0009422163,"about_ca_topic_score_gemma":0.00661927,"teacher_disagreement_score":0.9485478,"about_ca_system_score_codex":0.000099783305,"about_ca_system_score_gemma":0.0001242103,"threshold_uncertainty_score":0.99994683},"labels":[],"label_agreement":null},{"id":"W1565952135","doi":"10.3233/ao-130126","title":"Inferring and validating skills and competencies over time","year":2013,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Expert finding and Q&A systems","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":"Computer science; Knowledge management; Core competency; Ontology; Quality (philosophy); Work (physics); Data science; Management","score_opus":0.00586292572759229,"score_gpt":0.2076766461332773,"score_spread":0.20181372040568502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565952135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97408044,0.00015214064,0.011877417,0.00029501205,0.00012332,0.00017468941,2.7027613e-7,0.00014354003,0.013153151],"genre_scores_gemma":[0.9847517,0.0000062381596,0.0145695275,0.00035239587,0.000042693646,0.000031101274,7.841489e-7,0.000005655167,0.000239893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992282,0.000027724727,0.0001552903,0.0002795694,0.00007582446,0.00023341987],"domain_scores_gemma":[0.9994615,0.00018046792,0.000060230028,0.0002133777,0.000016619384,0.00006782498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012863643,0.000104071405,0.00019608393,0.000056012224,0.00011875743,0.00012183417,0.00019005284,0.000071694245,0.000023729845],"category_scores_gemma":[0.000015331503,0.00009033674,0.0000118524895,0.00006579447,0.00007172711,0.00015579879,0.00022531212,0.00007917423,0.00012979272],"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":[0.0000028821585,0.000102138845,0.092096426,0.00008188595,0.00008481342,0.000016706963,0.0149000855,0.00001424486,0.14493601,0.6123419,0.0030731228,0.13234979],"study_design_scores_gemma":[0.0046360493,0.0004916957,0.79418784,0.00021517435,0.00004089031,0.0011014645,0.0009209753,0.08816007,0.017030943,0.05716771,0.033395983,0.0026512202],"about_ca_topic_score_codex":0.00024672065,"about_ca_topic_score_gemma":0.000017929317,"teacher_disagreement_score":0.7020914,"about_ca_system_score_codex":0.000011029252,"about_ca_system_score_gemma":0.000010120836,"threshold_uncertainty_score":0.36838254},"labels":[],"label_agreement":null},{"id":"W1580895464","doi":"10.3233/ao-2011-0082","title":"The RNA Ontology (RNAO): An ontology for integrating RNA sequence and structure data","year":2011,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","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":"Carleton University","funders":"","keywords":"Computer science; Ontology; Sequence (biology); Information retrieval; RNA; Biology; Gene","score_opus":0.08717297104569614,"score_gpt":0.32226851980320614,"score_spread":0.23509554875751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1580895464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544155,0.005208336,0.027089752,0.0018202876,0.0013459473,0.0010676706,0.00032866604,0.0001577285,0.008566139],"genre_scores_gemma":[0.96319634,0.0002475589,0.03444924,0.0011062253,0.0003019698,0.0000939284,0.0004386815,0.000032448133,0.00013360867],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976202,0.0001466712,0.00043241898,0.0009902163,0.00009949194,0.00071095733],"domain_scores_gemma":[0.9980326,0.00021121695,0.00022772091,0.0012740421,0.00008537678,0.0001690115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963404,0.00032706992,0.00042682397,0.000045160876,0.00040631034,0.00003084415,0.0012765492,0.00072814245,0.000024126593],"category_scores_gemma":[0.00046134047,0.00022984168,0.000049951726,0.00007152709,0.0012959109,0.000009380127,0.0004795313,0.00033021852,0.0000032003657],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010719332,0.00010444259,0.0019073625,0.000044130033,0.00029033952,0.000020866875,0.00093793194,6.5597624e-7,0.29655448,0.04637887,0.004472945,0.64821607],"study_design_scores_gemma":[0.008505559,0.007841093,0.025939083,0.000054964887,0.0005969575,0.002021818,0.010202117,0.0021517812,0.12937006,0.100506835,0.70967084,0.0031388912],"about_ca_topic_score_codex":0.00032105547,"about_ca_topic_score_gemma":0.012292189,"teacher_disagreement_score":0.7051979,"about_ca_system_score_codex":0.000017005046,"about_ca_system_score_gemma":0.00014327481,"threshold_uncertainty_score":0.9372672},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061299976,0.002484872,0.88130194,0.00341054,0.0037209636,0.0003437457,7.2983886e-7,0.0011670826,0.046270147],"genre_scores_gemma":[0.91197115,0.000026569443,0.08685163,0.0005957354,0.00026668984,0.00008343448,0.000002473953,0.000011669494,0.00019066146],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980514,0.000053549003,0.00033774035,0.0004764019,0.00021726482,0.00086361816],"domain_scores_gemma":[0.99835515,0.00028337803,0.00013997266,0.0010214952,0.00007261641,0.00012738109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002782197,0.0002612063,0.00041887187,0.00009981569,0.00026108668,0.00007111493,0.0011012888,0.00026092245,0.000023234265],"category_scores_gemma":[0.00010335776,0.00022290506,0.00007079172,0.0002980945,0.00020723775,0.00042236107,0.00042719694,0.00019322538,0.00022378792],"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":[0.00003191965,0.00021787031,0.041392695,0.000033520613,0.00010301683,0.000040214265,0.003103875,0.000043095635,0.0033805189,0.9210767,0.003182215,0.027394326],"study_design_scores_gemma":[0.0024745567,0.0004393091,0.5431818,0.000026169839,0.0001396878,0.0013638515,0.0013777992,0.0061561065,0.03269507,0.12454992,0.28504074,0.0025550188],"about_ca_topic_score_codex":0.00021684346,"about_ca_topic_score_gemma":0.0002864865,"teacher_disagreement_score":0.8506712,"about_ca_system_score_codex":0.00005462965,"about_ca_system_score_gemma":0.000038836737,"threshold_uncertainty_score":0.9089804},"labels":[],"label_agreement":null},{"id":"W199538472","doi":"10.3233/ao-2012-0116","title":"Terms as labels for concepts, terms as lexical units: A comparative analysis in ontologies and specialized dictionaries","year":2012,"lang":"en","type":"article","venue":"Applied Ontology","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":64,"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":"Fonds de Recherche du Québec-Société et Culture","keywords":"Computer science; Natural language processing; Artificial intelligence; Linguistics; Information retrieval","score_opus":0.10390368181272468,"score_gpt":0.3475275292969752,"score_spread":0.24362384748425053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W199538472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70912546,0.0010426183,0.00008175751,0.00074788043,0.0007616985,0.00055350264,0.00011180909,0.00009426238,0.287481],"genre_scores_gemma":[0.9971119,0.00005247415,0.00024054422,0.0005884838,0.00053620874,0.00011359674,0.000071336624,0.0000075192215,0.0012779058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885213,0.000052129748,0.0003227375,0.00027088638,0.00007692936,0.0004251619],"domain_scores_gemma":[0.9989872,0.0006043565,0.00012413037,0.00014280205,0.000082894934,0.000058639518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014354987,0.00020824165,0.00070046756,0.00018544873,0.00035634215,0.000054541153,0.00011648175,0.0001232617,0.00027978982],"category_scores_gemma":[0.00014116325,0.00016618309,0.000058914695,0.00008080006,0.0014579339,0.00006581654,0.00008539224,0.00014091101,0.000025146946],"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":[0.0001761214,0.000090569534,0.01948458,0.000009959464,0.0005842075,0.0000046992864,0.053237475,7.576288e-7,0.000012319287,0.92481893,0.0008354787,0.00074488093],"study_design_scores_gemma":[0.002869214,0.0003716026,0.063416116,0.000010314376,0.0009267607,0.000014594605,0.04273388,0.000039766262,0.00015225812,0.16424368,0.72465044,0.0005713677],"about_ca_topic_score_codex":0.00068152737,"about_ca_topic_score_gemma":0.014523888,"teacher_disagreement_score":0.7605753,"about_ca_system_score_codex":0.000032353968,"about_ca_system_score_gemma":0.000024956647,"threshold_uncertainty_score":0.81046706},"labels":[],"label_agreement":null},{"id":"W2148347120","doi":"10.3233/ao-2009-0069","title":"A core ontology for requirements","year":2009,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":61,"is_retracted":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; Core (optical fiber); Ontology; Software engineering; Epistemology","score_opus":0.16359612204896085,"score_gpt":0.3742635405275225,"score_spread":0.21066741847856163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148347120","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019091157,0.00013555768,0.9932071,0.0009482073,0.0005381756,0.0003460726,0.0000012323944,0.00066936394,0.002245205],"genre_scores_gemma":[0.19965582,0.0000058319815,0.79866004,0.0014123452,0.00005866769,0.000095125004,0.0000038629955,0.000007855416,0.00010042206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986684,0.000026859167,0.00023928212,0.00047550394,0.000091026275,0.0004989626],"domain_scores_gemma":[0.9986217,0.0005959458,0.000091036614,0.00058091374,0.00004586685,0.00006450611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959097,0.00017072985,0.0003287403,0.00009214616,0.00008043237,0.000015168262,0.00082343264,0.00015713011,0.0000038495723],"category_scores_gemma":[0.00028519853,0.0001683265,0.000053963227,0.00015345565,0.000056901063,0.000113452144,0.00008771267,0.00012381669,0.00002055594],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034981036,0.000036321373,0.000038299695,0.000007397005,0.0000153052,0.000009442095,0.00022626933,0.0007812843,0.006058281,0.8114802,0.00090993964,0.18040228],"study_design_scores_gemma":[0.0011898577,0.00048495698,0.0036763095,0.0000052021687,0.000011713443,0.00005808717,0.000021377837,0.0014652837,0.0034755836,0.97189075,0.017336693,0.00038418875],"about_ca_topic_score_codex":0.0000025006432,"about_ca_topic_score_gemma":0.000011067803,"teacher_disagreement_score":0.19774671,"about_ca_system_score_codex":0.000058607628,"about_ca_system_score_gemma":0.000034916808,"threshold_uncertainty_score":0.68641555},"labels":[],"label_agreement":null},{"id":"W2172304783","doi":"10.3233/ao-2011-0086","title":"Overcoming the ontology enrichment bottleneck with Quick Term Templates","year":2011,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","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":"BC Cancer Agency","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Computer science; Bottleneck; Term (time); Template; Ontology; Information retrieval; Programming language; Embedded system","score_opus":0.022578760276110207,"score_gpt":0.24094874650184145,"score_spread":0.21836998622573123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172304783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586211,0.0009988584,0.0035652465,0.0006450494,0.00028972968,0.00034075763,0.000004583488,0.000080081256,0.03545463],"genre_scores_gemma":[0.99220335,0.00007956092,0.005664161,0.0013150551,0.00015117097,0.00012929109,0.000030961597,0.000024093839,0.00040235405],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984875,0.000070392576,0.00026753452,0.0005197615,0.00012149569,0.0005333247],"domain_scores_gemma":[0.9990866,0.00006502789,0.00013500579,0.000579867,0.000036001096,0.0000974673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021524138,0.00025754227,0.00030307155,0.00004091137,0.00017468353,0.000011694685,0.00047446982,0.0003639006,0.00012018968],"category_scores_gemma":[0.000037531972,0.00015791727,0.00006558449,0.00008403618,0.0006634898,0.0000021021824,0.00017481616,0.0002107847,0.000059113434],"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":[0.0049581337,0.0012600669,0.24050172,0.00013926337,0.0018917145,0.00023653104,0.0065941773,0.000010279245,0.3353294,0.041781843,0.018918253,0.3483786],"study_design_scores_gemma":[0.006314485,0.0047879796,0.3828214,0.000048917587,0.00035031996,0.0012475553,0.0034736574,0.000025798803,0.15093072,0.005111912,0.44303688,0.0018503773],"about_ca_topic_score_codex":0.00015441798,"about_ca_topic_score_gemma":0.00084415363,"teacher_disagreement_score":0.4241186,"about_ca_system_score_codex":0.000018126191,"about_ca_system_score_gemma":0.000075021315,"threshold_uncertainty_score":0.6439679},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4499923,0.00007874863,0.4217714,0.002411054,0.0010591376,0.0006127839,0.000002413343,0.0004461709,0.12362598],"genre_scores_gemma":[0.95329744,0.000005833746,0.041087795,0.0053696553,0.000049064085,0.0001079139,0.0000034352527,0.000005093608,0.00007375534],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985422,0.00006705219,0.0003679929,0.0003605403,0.00016806339,0.0004941497],"domain_scores_gemma":[0.9985569,0.00009780824,0.0001455927,0.0010057684,0.0000689867,0.00012495973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028974973,0.0001911056,0.00026022276,0.00012509833,0.00016759428,0.000073668656,0.0020061922,0.00017107904,0.00008076984],"category_scores_gemma":[0.000033875214,0.00013359384,0.00003657635,0.00017956398,0.00015189569,0.0005171988,0.00033984068,0.00019502298,0.00076589966],"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":[0.00009115421,0.00007563363,0.0037857469,0.000007681721,0.000018546029,0.00001835376,0.010796466,0.0000022093045,0.0011007444,0.83825463,0.0009386156,0.14491022],"study_design_scores_gemma":[0.0011831088,0.000894624,0.8548719,0.0000147883675,0.0000343984,0.00044542167,0.0013790838,0.0010480145,0.005693809,0.10271697,0.030942224,0.0007756364],"about_ca_topic_score_codex":0.00045019717,"about_ca_topic_score_gemma":0.0018094749,"teacher_disagreement_score":0.8510862,"about_ca_system_score_codex":0.000029830771,"about_ca_system_score_gemma":0.000068431305,"threshold_uncertainty_score":0.9844346},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14306203,0.0013557439,0.64693534,0.015977232,0.0036254595,0.0011411862,0.00001713591,0.0016628247,0.18622304],"genre_scores_gemma":[0.970773,0.00007261215,0.02634815,0.0023704886,0.00025567447,0.0000491937,0.000026160527,0.000019857865,0.00008490373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970066,0.00011606167,0.0004608449,0.0013776672,0.00023211277,0.00080673164],"domain_scores_gemma":[0.9964122,0.00062579644,0.00019288194,0.0025608484,0.0000373371,0.00017092556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007045492,0.0003573902,0.0007374413,0.0001982703,0.00021056243,0.00010729082,0.0027186915,0.00033948047,0.000015161286],"category_scores_gemma":[0.000116659525,0.00031881672,0.00003754788,0.0002599107,0.00040793538,0.00015423061,0.0017728868,0.00028133852,0.00017039878],"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":[0.000031333966,0.00007262681,0.0013060705,0.00003888952,0.00006101831,0.000022636315,0.0003142767,0.0000034600332,0.003515794,0.72508854,0.003391,0.26615438],"study_design_scores_gemma":[0.008633244,0.0006082686,0.08118188,0.000042457206,0.00029444383,0.0012934055,0.0005588486,0.066552274,0.0038387424,0.22450106,0.6095511,0.0029442867],"about_ca_topic_score_codex":0.00015175426,"about_ca_topic_score_gemma":0.0025058999,"teacher_disagreement_score":0.8277109,"about_ca_system_score_codex":0.000023134393,"about_ca_system_score_gemma":0.0001003263,"threshold_uncertainty_score":0.9999264},"labels":[],"label_agreement":null},{"id":"W2179813712","doi":"10.3233/ao-2010-0081","title":"Open Biomedical Ontologies applied to prostate cancer","year":2011,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","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":"London Health Sciences Centre; Western University","funders":"","keywords":"Computer science; Prostate cancer; Data science; Information retrieval; Cancer; Medicine; Internal medicine","score_opus":0.045742484265470534,"score_gpt":0.3102968715088134,"score_spread":0.2645543872433429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179813712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.760316,0.0013629337,0.010498631,0.003649236,0.0014171127,0.002579888,0.00010679516,0.00036179347,0.21970758],"genre_scores_gemma":[0.9669439,0.00011433489,0.02692062,0.0034459536,0.0002012055,0.0010488905,0.00008925551,0.00003777529,0.0011980484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979068,0.000043378885,0.00036491558,0.0008364799,0.00015870082,0.00068972615],"domain_scores_gemma":[0.998932,0.00002814286,0.00011261027,0.0005931805,0.00004869099,0.00028534798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028891565,0.0002939551,0.0004485908,0.00008953251,0.00012771493,0.000030741234,0.0012709901,0.0004863343,0.000272141],"category_scores_gemma":[0.000092493596,0.00024471135,0.000059258007,0.00019885578,0.00052527763,0.0000027885833,0.0010769375,0.00018962406,0.00015782834],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032183349,0.0007108312,0.0066279704,0.000059518185,0.0004463637,0.000052203748,0.003212906,0.0000054271027,0.30239522,0.017218133,0.076444335,0.5896087],"study_design_scores_gemma":[0.0028911866,0.0013835988,0.03505955,0.000022096849,0.00007667275,0.000050243405,0.0017041872,0.0000051650586,0.07262075,0.0042360523,0.88090956,0.0010409489],"about_ca_topic_score_codex":0.00050763926,"about_ca_topic_score_gemma":0.0010183452,"teacher_disagreement_score":0.80446523,"about_ca_system_score_codex":0.000026839973,"about_ca_system_score_gemma":0.00017501375,"threshold_uncertainty_score":0.9979039},"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":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026229985,0.00023940722,0.94598955,0.01375622,0.00073001534,0.00034715945,0.0000022892755,0.0006646436,0.012040722],"genre_scores_gemma":[0.82810587,0.000027746444,0.17034304,0.0009772467,0.00008904896,0.00015198493,7.9725925e-7,0.000009533868,0.00029470495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857867,0.000027163815,0.00024627085,0.0005171788,0.000101458245,0.00052924885],"domain_scores_gemma":[0.99788046,0.0007983165,0.0001029637,0.0011065218,0.000052301253,0.000059462327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022435709,0.00016691041,0.00030499717,0.00008961707,0.0001255726,0.00004261627,0.0016286877,0.00015826571,0.000011960357],"category_scores_gemma":[0.00036083066,0.00010601696,0.00007357606,0.00010493908,0.0001512195,0.00018534639,0.00036609446,0.000055479293,0.00009400286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003294527,0.000028458951,0.00087108643,0.0000084630765,0.000023143471,0.000007008875,0.00025249043,6.782373e-7,0.0103511745,0.7627909,0.0061652237,0.2194684],"study_design_scores_gemma":[0.0037113398,0.00036537682,0.025389854,0.0000361309,0.000034278757,0.00012063452,0.00020688584,0.00036261952,0.04982336,0.7586918,0.16040011,0.0008576136],"about_ca_topic_score_codex":0.00002082921,"about_ca_topic_score_gemma":0.000120061886,"teacher_disagreement_score":0.8018759,"about_ca_system_score_codex":0.000045994177,"about_ca_system_score_gemma":0.000056865476,"threshold_uncertainty_score":0.4323246},"labels":[],"label_agreement":null},{"id":"W2912402120","doi":"10.3233/ao-190205","title":"Water features and their parts","year":2019,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":16,"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; Natural Resources Canada","funders":"Natural Resources Canada; National Science Foundation","keywords":"Computer science","score_opus":0.00504949012061233,"score_gpt":0.19432277604373813,"score_spread":0.18927328592312578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912402120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.805368,0.000549335,0.10643467,0.0026263227,0.0013229896,0.00021919823,4.6046284e-7,0.00030804012,0.08317096],"genre_scores_gemma":[0.9941294,0.00000404237,0.004891053,0.00039383143,0.00003003538,0.0000065763875,0.0000010415956,0.0000029025712,0.0005411068],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995216,0.000011311784,0.000060855396,0.00021331609,0.000028458166,0.00016443114],"domain_scores_gemma":[0.99975866,0.000018896862,0.0000179661,0.00016844634,0.000011685656,0.000024351428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006508455,0.0000668635,0.00010019571,0.00003192258,0.000053410844,0.000049152113,0.00014437537,0.000060030234,0.000013339411],"category_scores_gemma":[0.0000010787431,0.000040055475,0.000011355823,0.000028630651,0.000045550514,0.000086126944,0.000073236886,0.00007658087,0.00010022382],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000152005105,0.000021359365,0.0017661313,0.000032164666,0.00002154096,0.0000033661872,0.0033033118,0.0000068773165,0.040615316,0.121181674,0.0011146386,0.8319184],"study_design_scores_gemma":[0.0023987321,0.00021113105,0.015974632,0.00002539098,0.000014829451,0.0027453785,0.0005871581,0.005246192,0.6270477,0.26322305,0.08152777,0.0009979891],"about_ca_topic_score_codex":0.000005949829,"about_ca_topic_score_gemma":0.000008124346,"teacher_disagreement_score":0.83092046,"about_ca_system_score_codex":0.000004038943,"about_ca_system_score_gemma":0.000011513262,"threshold_uncertainty_score":0.16334149},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11504376,0.0027617018,0.80647194,0.013928819,0.00033031462,0.00017131637,0.0000031227794,0.000260543,0.061028503],"genre_scores_gemma":[0.9746641,0.00002686992,0.02427623,0.0008906454,0.000047441496,0.000024175704,0.0000027392791,0.0000040622303,0.00006375586],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916923,0.0000259552,0.000111509115,0.0004043655,0.000076590884,0.00021236949],"domain_scores_gemma":[0.9993315,0.00019791363,0.00004059577,0.0003046524,0.00008502561,0.00004031806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008653949,0.000112109614,0.00019077137,0.000039661096,0.000110665234,0.000072587034,0.00029001714,0.000079106496,0.000029106968],"category_scores_gemma":[0.00004742086,0.00009127397,0.000029446319,0.00011813365,0.0001296061,0.000097980366,0.00025157715,0.00009505572,0.000032602602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048934517,0.000025753638,0.0010239899,0.00000234567,0.000030868352,0.000012224754,0.0014362691,0.0000025528968,0.0014641985,0.9727994,0.0001597798,0.023037717],"study_design_scores_gemma":[0.0007231951,0.000049900937,0.06348628,0.000004762971,0.000009156706,0.0003021904,0.004386619,0.0025844758,0.0047807167,0.9159326,0.0074697235,0.00027040546],"about_ca_topic_score_codex":0.000045651057,"about_ca_topic_score_gemma":0.0019253789,"teacher_disagreement_score":0.85962033,"about_ca_system_score_codex":0.00003116054,"about_ca_system_score_gemma":0.000108340326,"threshold_uncertainty_score":0.37220445},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26640624,0.0014177236,0.58747625,0.017094309,0.005734267,0.001072021,0.000062964165,0.0016594913,0.119076736],"genre_scores_gemma":[0.9620413,0.0000067524243,0.033441145,0.0035319475,0.00006848721,0.000249865,0.000008884159,0.000015187499,0.00063638267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975327,0.00018078685,0.0004288161,0.000782688,0.00039264822,0.00068236294],"domain_scores_gemma":[0.99846333,0.00024091695,0.0001837103,0.00095880264,0.000049095703,0.000104170795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062111736,0.00024659425,0.00050515885,0.00018973826,0.0004895284,0.000053476248,0.0018202574,0.00013188575,0.000305081],"category_scores_gemma":[0.00005854712,0.00023969488,0.00009015864,0.0003818607,0.00018675791,0.00011270964,0.0011010916,0.00046068453,0.00008888296],"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":[0.00008398706,0.00012134993,0.0023360916,0.000008962474,0.000054384644,0.00017486191,0.0030575257,0.00016245774,0.0009821495,0.9577138,0.0068489425,0.02845552],"study_design_scores_gemma":[0.007753377,0.002276885,0.0427538,0.000010981746,0.00011152614,0.0038170563,0.007290392,0.01039102,0.007588295,0.34835103,0.5669857,0.0026699374],"about_ca_topic_score_codex":0.00029445783,"about_ca_topic_score_gemma":0.0009396653,"teacher_disagreement_score":0.6956351,"about_ca_system_score_codex":0.00016900143,"about_ca_system_score_gemma":0.00030258272,"threshold_uncertainty_score":0.97744733},"labels":[],"label_agreement":null},{"id":"W4225321794","doi":"10.3233/ao-220267","title":"Affordances and their ontological core","year":2022,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Philosophy and History of Science","field":"Arts and Humanities","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":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Affordance; Computer science; Ontology; Core (optical fiber); Agency (philosophy); Representation (politics); Human–computer interaction; Action (physics); Cognitive science; Reciprocal; Epistemology; Psychology; Linguistics","score_opus":0.07328930390774022,"score_gpt":0.21424678224567215,"score_spread":0.14095747833793193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225321794","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29827383,0.00072674983,0.00001812208,0.0013758661,0.00052717194,0.00011093505,0.00002162126,0.0000794641,0.69886625],"genre_scores_gemma":[0.997029,0.0000063332614,0.00006532194,0.001598485,0.00014322669,0.00007029477,0.0000047392705,0.000003568756,0.0010790194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994321,0.00001618964,0.00009609708,0.0002125411,0.00007094945,0.00017212685],"domain_scores_gemma":[0.99975413,0.00005537686,0.00004591634,0.00009815658,0.000008102621,0.00003831677],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011357075,0.00008239616,0.0001493311,0.000039928178,0.0010028052,0.00001787444,0.00019287672,0.000018024772,0.0023591144],"category_scores_gemma":[0.000003053746,0.0000638992,0.000023464723,0.000017643919,0.000881486,0.000041611333,0.00010102625,0.00014344593,0.000019451456],"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":[0.000029628298,0.00003284844,0.000046012286,0.000002435908,0.000004974531,0.000004175681,0.013017149,0.0000013375973,0.0002117179,0.97997016,0.0017733441,0.0049062404],"study_design_scores_gemma":[0.00015407208,0.0001559632,0.00021590157,4.1228648e-7,0.0000032773034,0.000021553964,0.0054052724,0.000018098548,0.000010102369,0.23714533,0.7567716,0.00009835915],"about_ca_topic_score_codex":0.00006084756,"about_ca_topic_score_gemma":0.0009794446,"teacher_disagreement_score":0.7549983,"about_ca_system_score_codex":0.000022735363,"about_ca_system_score_gemma":0.000015683028,"threshold_uncertainty_score":0.99855286},"labels":[],"label_agreement":null},{"id":"W4394855737","doi":"10.3233/ao-230051","title":"From slot mereology to a mereology of slots","year":2024,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Logic, Reasoning, and Knowledge","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":"Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Mereology; Computer science; Relation (database); Problem of universals; Core (optical fiber); Epistemology; Mathematical economics; Mathematics; Philosophy; Data mining","score_opus":0.011841549459386426,"score_gpt":0.25526514852083293,"score_spread":0.2434235990614465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394855737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115698375,0.00302812,0.68775946,0.004388917,0.0038326685,0.00047573767,0.000012702036,0.0007097479,0.18409425],"genre_scores_gemma":[0.96512794,0.000014478493,0.03307714,0.0009036372,0.0002448343,0.00007819445,0.0000074537998,0.000015585396,0.0005307177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99810934,0.00009346282,0.00036848383,0.0007907434,0.00012595327,0.0005120243],"domain_scores_gemma":[0.9985334,0.00050384406,0.0000711448,0.0006858755,0.00005699304,0.00014873808],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021946001,0.00021885056,0.0005298789,0.00023476785,0.000051955907,0.000027811624,0.0011296467,0.00026655564,0.00023118679],"category_scores_gemma":[0.000055254433,0.00019089546,0.000092767485,0.00045687877,0.00018572774,0.00007375895,0.0005374757,0.00022031693,0.0012292926],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024630204,0.000050652245,0.00023142865,0.000015956693,0.000084443214,0.0000626158,0.003243299,0.000006644379,0.010896693,0.9423365,0.005673831,0.03737331],"study_design_scores_gemma":[0.001274552,0.0007828953,0.00893546,0.000040549894,0.000109410976,0.00023056401,0.00025527677,0.006738531,0.02919425,0.6412895,0.31022865,0.0009203706],"about_ca_topic_score_codex":0.00057222147,"about_ca_topic_score_gemma":0.0007158458,"teacher_disagreement_score":0.8494296,"about_ca_system_score_codex":0.000040732695,"about_ca_system_score_gemma":0.00013823957,"threshold_uncertainty_score":0.9995484},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44818878,0.008269318,0.2565584,0.02761555,0.0010662898,0.00069161865,0.0000064566366,0.00068310706,0.2569205],"genre_scores_gemma":[0.9774315,0.00007226218,0.02109782,0.0013063714,0.000024727298,0.000020643905,0.0000012437733,0.000003367027,0.000042108702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858594,0.00014565451,0.00029557812,0.0005217606,0.00013985291,0.00031119696],"domain_scores_gemma":[0.9968994,0.002178152,0.00014207646,0.00061061734,0.00014161051,0.000028116501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000335452,0.00017938607,0.00043547887,0.000075949996,0.00020906559,0.00005358077,0.0011320261,0.00021353333,0.0000066867065],"category_scores_gemma":[0.0005801914,0.00011775329,0.000040268325,0.00040091207,0.0005377978,0.0000920513,0.00062015274,0.00029840312,0.0000033442216],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028555718,0.000018000404,0.0060030115,0.0000047042367,0.00007090144,0.00000927787,0.006715003,0.000004029092,0.0005116516,0.97259194,0.0003488804,0.013694048],"study_design_scores_gemma":[0.000489956,0.000060510618,0.07890706,0.000026412767,0.00003797874,0.000013527354,0.0060529266,0.00059046614,0.0017353742,0.91106343,0.00086944224,0.00015288785],"about_ca_topic_score_codex":0.001843437,"about_ca_topic_score_gemma":0.0035181423,"teacher_disagreement_score":0.5292427,"about_ca_system_score_codex":0.000045916004,"about_ca_system_score_gemma":0.00011680311,"threshold_uncertainty_score":0.480184},"labels":[],"label_agreement":null},{"id":"W4417325098","doi":"10.1177/15705838251394800","title":"How Information Complies With a Template: A Dual Mereological System","year":2025,"lang":"en","type":"article","venue":"Applied Ontology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"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":"Mereology; Relation (database); Axiom; Extensional definition; Dual (grammatical number); Isomorphism (crystallography); Polyhedron; Ontology","score_opus":0.006717573772361692,"score_gpt":0.21567984689596403,"score_spread":0.20896227312360235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417325098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72875494,0.0008755111,0.14468452,0.0053316136,0.0005073097,0.0007247382,0.000031323878,0.00037148962,0.11871857],"genre_scores_gemma":[0.9935503,0.000009486411,0.0050213886,0.00069420325,0.000050366787,0.00010272627,0.00011465791,0.0000049383957,0.0004519255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916875,0.00003590399,0.00018073761,0.00024432567,0.00009128389,0.0002789954],"domain_scores_gemma":[0.9995236,0.000033894095,0.000082562976,0.0002567771,0.00005299131,0.00005019108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010925293,0.00016265134,0.00025137086,0.000068563,0.00010973327,0.000038735896,0.00016868264,0.00034183406,0.0000044201665],"category_scores_gemma":[0.00004469086,0.00011585522,0.000037468777,0.0001200586,0.00035875908,0.0000036567094,0.00011277565,0.0001258757,0.000014989585],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052489927,0.00037291172,0.01797868,0.000941867,0.0015320198,0.0001000729,0.0008556106,0.000069852016,0.10074827,0.4824968,0.06427535,0.32537958],"study_design_scores_gemma":[0.0047469344,0.0013564066,0.026048975,0.00008017694,0.00014474077,0.00047054444,0.008801907,0.00013985962,0.021980003,0.00088346907,0.9345763,0.0007707152],"about_ca_topic_score_codex":0.000020652611,"about_ca_topic_score_gemma":0.000073675634,"teacher_disagreement_score":0.87030095,"about_ca_system_score_codex":0.000018343184,"about_ca_system_score_gemma":0.00006965142,"threshold_uncertainty_score":0.47244388},"labels":[],"label_agreement":null}]}