{"meta":{"query_hash":"9a4221158cd0","filters":{"venue":"Intelligent systems reference library"},"cohort_total":59,"direct_labels_cover":0,"predictions_cover":59,"exported":59,"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/9a4221158cd0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Intelligent+systems+reference+library"},"results":[{"id":"W100430735","doi":"10.1007/978-3-642-39739-4_20","title":"Employing Fuzzy Cognitive Map for Periodontal Disease Assessment","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Cognitive Science and Mapping","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 British Columbia","funders":"","keywords":"Periodontal disease; Fuzzy cognitive map; Sign (mathematics); Inference; Fuzzy logic; Task (project management); Disease; Cognition; Fuzzy inference system; Medicine; Process (computing); Artificial intelligence; Computer science; Machine learning; Dentistry; Fuzzy control system; Adaptive neuro fuzzy inference system; Mathematics; Pathology; Engineering; Psychiatry","score_opus":0.0647173521012539,"score_gpt":0.2839825087774581,"score_spread":0.21926515667620422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W100430735","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03906755,0.014715463,0.8538738,0.0009674857,0.0006852824,0.00014912698,0.00086319144,0.0024996514,0.087178506],"genre_scores_gemma":[0.3911064,0.013574838,0.54374874,0.00036454745,0.00030049463,0.00018046529,0.0009912495,0.00014020967,0.049593043],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998884,0.000018458662,0.000007814585,0.000017713877,0.000056004195,0.000011546433],"domain_scores_gemma":[0.99982244,0.0000744581,0.000005493492,0.000011516748,0.00007926454,0.000006871314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003042511,0.00036510814,0.00030871338,0.0013892746,0.00028214892,0.0011438701,0.00060003233,0.0005258732,0.005419138],"category_scores_gemma":[0.0010467632,0.000106277854,0.0003501686,0.0013018827,0.00017416246,0.00089022424,0.0005223921,0.00028514798,0.0013466548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006196198,0.00003345328,0.00093683286,0.00027524913,0.000024967856,0.00018264966,0.00020349633,0.004006622,0.0051770094,0.007555245,0.010716092,0.9708264],"study_design_scores_gemma":[0.000052952313,0.00047021452,0.026249137,0.0010971734,0.00048182096,0.0048724865,0.0020548366,0.4150817,0.06109263,0.14819565,0.34000805,0.00034327517],"about_ca_topic_score_codex":0.004805662,"about_ca_topic_score_gemma":0.0051379856,"teacher_disagreement_score":0.005419138,"about_ca_system_score_codex":0.00033724945,"about_ca_system_score_gemma":0.0005398037,"threshold_uncertainty_score":0.018128812},"labels":[],"label_agreement":null},{"id":"W1046806","doi":"10.1007/978-3-642-19621-8_5","title":"Stochastic Gene Expression and the Processing and Propagation of Noisy Signals in Genetic Networks","year":2011,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","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":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Inference; Bayes' theorem; Fidelity; Population; Expression (computer science); Computer science; Noise (video); Gene; Biology; Computational biology; Artificial intelligence; Genetics; Bayesian probability","score_opus":0.019045300501899797,"score_gpt":0.21180402228304493,"score_spread":0.19275872178114514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1046806","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010755869,0.008229219,0.9555946,0.0007642164,0.0001991345,0.000016655495,0.00022562355,0.00081111654,0.02340344],"genre_scores_gemma":[0.37227884,0.037417892,0.47437766,0.0005266079,0.00081283896,0.0002728532,0.0013390743,0.00094869453,0.11202556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998481,0.000026673635,0.000006975681,0.00003506424,0.0000737639,0.000009269264],"domain_scores_gemma":[0.9997781,0.00016212187,0.000014599055,0.00001592,0.000023421202,0.000005881554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022606246,0.000571524,0.00043266758,0.00037837034,0.00017378473,0.0010240147,0.0007535542,0.0005821083,0.002372298],"category_scores_gemma":[0.00083018234,0.00039320788,0.00036497085,0.0009467834,0.0010818879,0.0011227172,0.0002687361,0.0008924319,0.0010509668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004843436,0.00002287932,0.0003178832,0.00023444154,0.00003171448,0.00015299694,0.00016273632,0.1880574,0.019419238,0.6442209,0.009373348,0.13795806],"study_design_scores_gemma":[0.0000094890875,0.000020289131,0.00048831804,0.000044164834,0.000019281202,0.00011660167,0.000020166251,0.3435385,0.0075810584,0.6159356,0.03219704,0.000029586014],"about_ca_topic_score_codex":0.0010650367,"about_ca_topic_score_gemma":0.0014015003,"teacher_disagreement_score":0.002372298,"about_ca_system_score_codex":0.00051905145,"about_ca_system_score_gemma":0.00035002176,"threshold_uncertainty_score":0.00793612},"labels":[],"label_agreement":null},{"id":"W159263604","doi":"10.1007/978-3-642-39928-2_3","title":"DSS Based IT Service Support Process Reengineering Using ITIL: A Case Study","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","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":"Information Technology Infrastructure Library; Financial management for IT services; ITIL security management; Incident management; IT service management; Process management; IT portfolio management; Business process reengineering; Capacity management; Service (business); Service desk; Knowledge management; Computer science; Business; Engineering; Service design; Information technology; Service provider; Systems engineering; Operations management; Information security; Project management; Computer security; Security service; Security information and event management","score_opus":0.09554908980410788,"score_gpt":0.2650261866387156,"score_spread":0.1694770968346077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W159263604","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":[0.9699922,0.00012875354,0.009300466,0.00027837462,0.000012631568,0.00012507485,0.00009869195,0.00032879875,0.019735066],"genre_scores_gemma":[0.98195374,0.00016895478,0.009625243,0.000040487626,0.00000404734,0.000036142694,0.00011091298,0.00004035852,0.008020031],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993352,0.00027264716,0.000030026948,0.000045359015,0.00022666772,0.00008999571],"domain_scores_gemma":[0.9984713,0.0008437574,0.00010794091,0.00022273834,0.00023954977,0.00011466506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011867265,0.00022555546,0.00026102553,0.0006225862,0.00086630945,0.0016124876,0.0009972089,0.0012110532,0.0031024108],"category_scores_gemma":[0.0020830322,0.00019025181,0.0003416634,0.0011348433,0.000512962,0.0011039849,0.0005979831,0.00070335553,0.0008236443],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033321343,0.012147901,0.047762673,0.0010418254,0.00010109054,0.025601728,0.029988078,0.079526536,0.07388542,0.04893444,0.010622019,0.66705614],"study_design_scores_gemma":[0.0008710653,0.007532471,0.05134765,0.0004558703,0.0003572565,0.007629809,0.03530482,0.6434216,0.13115306,0.012561878,0.10910621,0.00025831678],"about_ca_topic_score_codex":0.0074786874,"about_ca_topic_score_gemma":0.008176058,"teacher_disagreement_score":0.0074786874,"about_ca_system_score_codex":0.0011639134,"about_ca_system_score_gemma":0.001051041,"threshold_uncertainty_score":0.014870286},"labels":[],"label_agreement":null},{"id":"W160763835","doi":"10.1007/978-3-642-13639-9_19","title":"A Systematic Approach to the Design of a Case-Based Reasoning System for Attention-Deficit Hyperactivity Disorder","year":2010,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","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":"Attention deficit hyperactivity disorder; Attention deficit; Psychology; Attention deficit disorder; Cognitive psychology; Cognitive science; Computer science; Psychiatry","score_opus":0.07348538889604941,"score_gpt":0.28564791413430995,"score_spread":0.21216252523826054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W160763835","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002428444,0.00025855127,0.98314685,0.0006608896,0.000070198155,0.0010255058,0.00028650038,0.002213532,0.009909512],"genre_scores_gemma":[0.007727248,0.00022931756,0.98829865,0.000109875,0.000013076972,0.00048054857,0.00045457046,0.00010956798,0.0025771745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971909,0.0009286365,0.0004943992,0.0003283167,0.0009536596,0.00010411335],"domain_scores_gemma":[0.994825,0.0034582808,0.00018808535,0.00040011381,0.0009777286,0.00015088843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039007955,0.0011562384,0.0008451263,0.003336696,0.0013221955,0.004966294,0.004029396,0.0014945307,0.011355696],"category_scores_gemma":[0.011331731,0.0013803048,0.0015105242,0.001709115,0.0013092852,0.0029411453,0.0028307606,0.0020001791,0.002844765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016217928,0.0006960565,0.0019330579,0.0012474643,0.00016527297,0.0028505484,0.003887545,0.026872253,0.018444467,0.12089627,0.03975089,0.783094],"study_design_scores_gemma":[0.00032222838,0.00033845752,0.0028563635,0.0024062537,0.0005410321,0.0071820747,0.0025801698,0.41803482,0.028514516,0.20305188,0.33392677,0.00024540414],"about_ca_topic_score_codex":0.0055719935,"about_ca_topic_score_gemma":0.009487124,"teacher_disagreement_score":0.011355696,"about_ca_system_score_codex":0.0015576925,"about_ca_system_score_gemma":0.004668168,"threshold_uncertainty_score":0.037988603},"labels":[],"label_agreement":null},{"id":"W169645471","doi":"10.1007/978-3-642-23151-3_6","title":"Estimation of Distribution Algorithms in Gene Expression Data Analysis","year":2012,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","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 Windsor","funders":"","keywords":"Estimation; Algorithm; Computer science; Expression (computer science); Computational biology; Biology; Engineering","score_opus":0.06284007446723813,"score_gpt":0.29048070098572265,"score_spread":0.22764062651848452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W169645471","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044126026,0.00031507897,0.9985417,0.00004407631,0.00001947432,0.000009817615,0.000031807067,0.00042982446,0.00016693425],"genre_scores_gemma":[0.018694993,0.0007961462,0.9766533,0.000092134214,0.00012458366,0.00022361142,0.00069696247,0.0005296447,0.002188655],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99507457,0.0023014138,0.00029607618,0.00080706977,0.001387907,0.0001329344],"domain_scores_gemma":[0.98741037,0.010048328,0.00020594003,0.0010348903,0.0012027145,0.00009762313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072302446,0.0012688852,0.001955249,0.0021583913,0.00076317525,0.001960799,0.0038474218,0.001488731,0.002570384],"category_scores_gemma":[0.020780025,0.0013437305,0.001621315,0.0037794686,0.0017618185,0.003054031,0.002163102,0.003983125,0.0024067196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011679599,0.00011644533,0.001187219,0.00025837802,0.00012723047,0.000052928906,0.00012320867,0.19557337,0.0032202345,0.06163948,0.010367006,0.7272177],"study_design_scores_gemma":[0.000014941741,0.000023437688,0.00042386376,0.000026065343,0.000020853011,0.000071638526,0.00001579644,0.91543764,0.003405643,0.07464561,0.0058931787,0.000021321564],"about_ca_topic_score_codex":0.003789905,"about_ca_topic_score_gemma":0.0031050001,"teacher_disagreement_score":0.0072302446,"about_ca_system_score_codex":0.0014326771,"about_ca_system_score_gemma":0.0013548667,"threshold_uncertainty_score":0.03823763},"labels":[],"label_agreement":null},{"id":"W182431899","doi":"10.1007/978-3-642-19621-8_4","title":"Biological Limits of Hand Preference Learning Hiding Behind the Genes","year":2011,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","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":"Preference; Artificial intelligence; Stability (learning theory); Adaptive behavior; Limit (mathematics); Process (computing); Computer science; Machine learning; Psychology; Mathematics; Social psychology","score_opus":0.09377259991948493,"score_gpt":0.24040572619782294,"score_spread":0.14663312627833802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W182431899","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":[0.33590046,0.017173598,0.3098685,0.006666752,0.00044862766,0.00003195012,0.00078895886,0.0020809176,0.32704028],"genre_scores_gemma":[0.9362305,0.0030814447,0.032546565,0.0004128646,0.0001568815,0.000050161994,0.00028309206,0.0002849464,0.026953498],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995134,0.000076264085,0.000019708872,0.00014056412,0.00018662824,0.00006357989],"domain_scores_gemma":[0.9966145,0.0024312537,0.00014637761,0.00047754802,0.00018385728,0.00014645216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006527217,0.00032982367,0.00046111178,0.000402803,0.00046267346,0.0029909571,0.0009850552,0.00094468385,0.010359501],"category_scores_gemma":[0.006117041,0.000402187,0.0003367975,0.0003149645,0.002205647,0.0038644995,0.001284242,0.0015029587,0.0015881994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044262467,0.00012823987,0.0015927302,0.0003494582,0.00004867868,0.0003277479,0.00032368244,0.033026993,0.10538924,0.60798657,0.0058218134,0.24456221],"study_design_scores_gemma":[0.000019779749,0.00008414811,0.0036891762,0.000083681705,0.000026611737,0.00045829357,0.00014052352,0.10828981,0.029141974,0.8481474,0.00986367,0.00005494055],"about_ca_topic_score_codex":0.0012256321,"about_ca_topic_score_gemma":0.0008750641,"teacher_disagreement_score":0.010359501,"about_ca_system_score_codex":0.0006954896,"about_ca_system_score_gemma":0.0005498677,"threshold_uncertainty_score":0.03465599},"labels":[],"label_agreement":null},{"id":"W1885264764","doi":"10.1007/978-3-642-30341-8_5","title":"Game-Theoretic Rough Sets for Feature Selection","year":2012,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Rough Sets and Fuzzy Logic","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 Regina","funders":"","keywords":"Categorization; Rough set; Feature selection; Computer science; Artificial intelligence; Selection (genetic algorithm); Feature (linguistics); Word (group theory); Term (time); Set (abstract data type); Text categorization; Data mining; Machine learning; Natural language processing; Pattern recognition (psychology); Information retrieval; Mathematics; Linguistics","score_opus":0.048141610263385516,"score_gpt":0.25433370650616416,"score_spread":0.20619209624277865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1885264764","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002186403,0.010125551,0.9571261,0.00084008713,0.00034900504,0.00007006691,0.00019668393,0.00016894187,0.02893712],"genre_scores_gemma":[0.22125351,0.017636918,0.72449744,0.00042789272,0.0007854993,0.00055075024,0.00079422933,0.00016573425,0.03388803],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866986,0.00047113502,0.00008356669,0.00011362066,0.000600505,0.00006130474],"domain_scores_gemma":[0.99928904,0.00045841053,0.000039092916,0.00009182381,0.00009886127,0.000022797432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015038785,0.0010663032,0.0016284644,0.0010887878,0.00048357423,0.0025109176,0.0021483256,0.0011490816,0.00573985],"category_scores_gemma":[0.0034838894,0.00046862903,0.001385317,0.002147608,0.0013864394,0.0025002097,0.0011694907,0.0023016033,0.0016453979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027995542,0.000038432543,0.00008042408,0.0003138782,0.00006970121,0.00006217767,0.00012585116,0.052957874,0.0006550936,0.79343,0.014153026,0.13808562],"study_design_scores_gemma":[0.000013707354,0.00002143227,0.000109998975,0.00007577284,0.000020849857,0.000050443738,0.000032236334,0.105926946,0.00027224518,0.87480503,0.018646613,0.000024646875],"about_ca_topic_score_codex":0.0021861962,"about_ca_topic_score_gemma":0.0021790608,"teacher_disagreement_score":0.00573985,"about_ca_system_score_codex":0.0017516203,"about_ca_system_score_gemma":0.0008056529,"threshold_uncertainty_score":0.019201696},"labels":[],"label_agreement":null},{"id":"W20039898","doi":"10.1007/978-3-642-23151-3_10","title":"Knowledge Discovery in Adversarial Settings","year":2012,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Authorship Attribution and Profiling","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":"Queen's University","funders":"","keywords":"Adversarial system; Computer science; Data science; Artificial intelligence","score_opus":0.06511608293467593,"score_gpt":0.27245710840221665,"score_spread":0.20734102546754074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W20039898","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":[0.0030157524,0.004404902,0.96564394,0.0026026436,0.00023103697,0.000046044675,0.00017319091,0.00043569098,0.023446674],"genre_scores_gemma":[0.48517865,0.013281525,0.41717505,0.0016546568,0.0020563747,0.0004062445,0.001482471,0.0005789815,0.078186095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996759,0.001567274,0.0001390058,0.0004722816,0.00091271196,0.00014973457],"domain_scores_gemma":[0.9866877,0.010996021,0.0002897299,0.0014203646,0.00048473544,0.000121490164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004582511,0.0011122746,0.0012253228,0.0016031708,0.000708937,0.0031306022,0.0026211392,0.0018871829,0.0043456694],"category_scores_gemma":[0.016019208,0.0007281548,0.0007521707,0.0023869006,0.002651416,0.006019683,0.0033329176,0.004048135,0.001771888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006229612,0.00010934228,0.00052583194,0.00034197682,0.00009820504,0.00010703473,0.00021920502,0.18978918,0.0006525183,0.468669,0.033153277,0.30627212],"study_design_scores_gemma":[0.0000067182123,0.000013985061,0.00011737567,0.00007964972,0.000014865214,0.00008231142,0.00002679891,0.42992628,0.0008499548,0.55882084,0.010044433,0.000016731894],"about_ca_topic_score_codex":0.00094668596,"about_ca_topic_score_gemma":0.0009854424,"teacher_disagreement_score":0.004582511,"about_ca_system_score_codex":0.0014265846,"about_ca_system_score_gemma":0.00088922464,"threshold_uncertainty_score":0.024234891},"labels":[],"label_agreement":null},{"id":"W202209444","doi":"10.1007/978-3-319-03410-2_3","title":"Clustering Items in Time-Stamped Databases Induced by Stability","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Data Mining Algorithms and Applications","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":"Partition (number theory); Variation (astronomy); Cluster analysis; Stability (learning theory); Computer science; Cluster (spacecraft); Degree (music); Database; Data mining; Class (philosophy); Mathematics; Artificial intelligence; Machine learning","score_opus":0.084136961069966,"score_gpt":0.2619171409232814,"score_spread":0.1777801798533154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W202209444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22222887,0.0022545268,0.7689727,0.0005444796,0.00019912218,0.00019567924,0.0024457166,0.0009720469,0.0021869135],"genre_scores_gemma":[0.6909378,0.0017141603,0.2962365,0.00016433581,0.00030317585,0.00022169926,0.0068154195,0.00016712665,0.003439845],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969908,0.00035544712,0.00040654585,0.0007441874,0.0013152654,0.00018765163],"domain_scores_gemma":[0.99036205,0.0043154154,0.001242002,0.0014366636,0.0022985893,0.00034528543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001890386,0.0004877123,0.0014494143,0.005556798,0.0008269417,0.003187311,0.0025043874,0.00093020656,0.0015907994],"category_scores_gemma":[0.016309997,0.0005914696,0.0010103779,0.010921225,0.00094077934,0.0034238556,0.0018741632,0.0010193645,0.0007704132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023750123,0.00030560023,0.04492767,0.0010682449,0.00056756847,0.001150737,0.0012577103,0.22995792,0.03160022,0.08395611,0.012449637,0.59038365],"study_design_scores_gemma":[0.00005092083,0.00024105806,0.007973152,0.000087254666,0.0001355914,0.0006749167,0.00041663964,0.8837916,0.0093266405,0.09194339,0.0053021396,0.000056621157],"about_ca_topic_score_codex":0.0019468728,"about_ca_topic_score_gemma":0.0021103353,"teacher_disagreement_score":0.005556798,"about_ca_system_score_codex":0.0010505414,"about_ca_system_score_gemma":0.00089820544,"threshold_uncertainty_score":0.009997487},"labels":[],"label_agreement":null},{"id":"W203690341","doi":"10.1007/978-3-642-40017-9_9","title":"Using Machine Learning to Plan Rehabilitation for Home Care Clients: Beyond “Black-Box” Predictions","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Frailty in Older Adults","field":"Medicine","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 Waterloo","funders":"","keywords":"Machine learning; Health care; Artificial intelligence; Computer science; Black box; Resource (disambiguation); Resistance (ecology); Plan (archaeology); Rehabilitation; Perception; Data science; Knowledge management; Medicine; Psychology","score_opus":0.05372047603595827,"score_gpt":0.2862023989486295,"score_spread":0.23248192291267122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W203690341","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018162895,0.039180502,0.7606799,0.022721782,0.0020698777,0.000111324734,0.0011907263,0.0040892847,0.15179372],"genre_scores_gemma":[0.2954939,0.052712422,0.5423251,0.0045896736,0.0020118058,0.00021631941,0.0023526181,0.00076954765,0.09952874],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998055,0.000060713475,0.0000118035205,0.00004060827,0.00007054771,0.000010848433],"domain_scores_gemma":[0.9987583,0.0010408469,0.000034031822,0.00006014371,0.000084589556,0.000022073871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007313953,0.0007957815,0.0005859701,0.00044597234,0.00022041188,0.0018555147,0.0010543369,0.0007260193,0.0065711685],"category_scores_gemma":[0.0027938345,0.0002968484,0.00051216,0.0005268036,0.0004264395,0.0025233354,0.00054530386,0.0020447313,0.0022806136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006188891,0.00014455541,0.0020797297,0.00032341736,0.00010087572,0.000107038315,0.0001605852,0.045914408,0.0006705276,0.048534565,0.07034659,0.8315557],"study_design_scores_gemma":[0.00004289831,0.00013125068,0.002845754,0.0011878071,0.00010908265,0.00028744194,0.00024216199,0.4612688,0.0025800958,0.3838906,0.14731082,0.0001032565],"about_ca_topic_score_codex":0.00402793,"about_ca_topic_score_gemma":0.005891884,"teacher_disagreement_score":0.0065711685,"about_ca_system_score_codex":0.000605209,"about_ca_system_score_gemma":0.0008188377,"threshold_uncertainty_score":0.021982789},"labels":[],"label_agreement":null},{"id":"W2096104829","doi":"10.1007/978-3-642-17931-0_6","title":"Distributed Simulation Using RESTful Interoperability Simulation Environment (RISE) Middleware","year":2011,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Carleton University","funders":"","keywords":"Interoperability; Middleware (distributed applications); Computer science; Container (type theory); Web service; High-level architecture; Distributed computing; Plug-in; Software engineering; World Wide Web; Operating system; Engineering","score_opus":0.3560996802586948,"score_gpt":0.3820449494172167,"score_spread":0.025945269158521855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096104829","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055330344,0.000244958,0.95353967,0.00015748669,0.00013547255,0.000092127964,0.0002570847,0.024376895,0.01566321],"genre_scores_gemma":[0.31229228,0.0010660178,0.63520247,0.00039789165,0.00015563564,0.00059803936,0.00445585,0.0052869804,0.040544868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945647,0.00013908323,0.000057826604,0.00008533326,0.00020595179,0.000055371944],"domain_scores_gemma":[0.9994332,0.00015407692,0.000020603,0.00024756714,0.00010489722,0.00003960749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006410558,0.0008356439,0.0007464852,0.0006774024,0.00065446895,0.0018368695,0.0019818689,0.0010684213,0.0071275136],"category_scores_gemma":[0.0012173842,0.00057155587,0.0011478695,0.0007393915,0.0004520766,0.0015677932,0.0015555684,0.0015563804,0.0032910784],"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":[0.0006097305,0.0005427026,0.0024544727,0.00053096627,0.00027306203,0.0006712184,0.00046114434,0.35603416,0.06504799,0.17494406,0.04478322,0.35364723],"study_design_scores_gemma":[0.00012605403,0.000080581,0.00062890904,0.000059135295,0.00008406408,0.0002697557,0.000032847867,0.8263966,0.04648034,0.04266715,0.0831018,0.00007272816],"about_ca_topic_score_codex":0.0019436791,"about_ca_topic_score_gemma":0.0015337543,"teacher_disagreement_score":0.0071275136,"about_ca_system_score_codex":0.00058613403,"about_ca_system_score_gemma":0.0009152082,"threshold_uncertainty_score":0.023843944},"labels":[],"label_agreement":null},{"id":"W2481414375","doi":"10.1007/978-3-319-30262-1_11","title":"Helly’s Theorem and Strongly Proximal Helly Theorem","year":2016,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Point processes and geometric inequalities","field":"Mathematics","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 Manitoba","funders":"","keywords":"Regular polygon; Combinatorics; Mathematics; Danskin's theorem; Geometry; Pure mathematics; Brouwer fixed-point theorem; Fixed-point theorem","score_opus":0.07345796442415603,"score_gpt":0.2787330707059132,"score_spread":0.20527510628175716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481414375","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":[0.012480899,0.015068979,0.24830212,0.008864427,0.0011270945,0.000046865676,0.00031349366,0.00019522021,0.71360093],"genre_scores_gemma":[0.4373763,0.023472756,0.09016658,0.0033371192,0.0032686386,0.00023077893,0.0005198561,0.00047763225,0.4411504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994437,0.00012944508,0.000029041446,0.000109692155,0.00023332289,0.000054821212],"domain_scores_gemma":[0.99947995,0.00025905922,0.00003329898,0.00007187087,0.00012364794,0.000032196087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009572738,0.000751044,0.0006348039,0.0016348812,0.001101353,0.0026686531,0.00084789377,0.001159613,0.012740912],"category_scores_gemma":[0.0022363255,0.0003597545,0.0005949201,0.0016234113,0.004716137,0.006350745,0.002217781,0.0035528215,0.0022267522],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003340632,0.000003150513,0.000017167926,0.000026271824,0.0000023119721,0.000008083093,0.000059172293,0.00023842977,0.00007642988,0.98959535,0.0038354949,0.0061346795],"study_design_scores_gemma":[0.000002448066,0.0000038569756,0.00006742185,0.00001527924,0.000002950862,0.000024412384,0.000025233887,0.00059366727,0.00014840116,0.9678907,0.0312214,0.0000042398256],"about_ca_topic_score_codex":0.0010821826,"about_ca_topic_score_gemma":0.00091522874,"teacher_disagreement_score":0.012740912,"about_ca_system_score_codex":0.0020143392,"about_ca_system_score_gemma":0.00090582314,"threshold_uncertainty_score":0.042622566},"labels":[],"label_agreement":null},{"id":"W2486810790","doi":"10.1007/978-3-319-01285-8","title":"Computational Models of Complex Systems","year":2013,"lang":"en","type":"book","venue":"Intelligent systems reference library","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Simon Fraser University","funders":"","keywords":"Computer science","score_opus":0.3214291212687475,"score_gpt":0.3850428418948561,"score_spread":0.0636137206261086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2486810790","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":[0.0025559813,0.05335595,0.58128476,0.004494867,0.0017002951,0.000066461944,0.00081782223,0.0014397193,0.3542841],"genre_scores_gemma":[0.105332844,0.124078,0.2551305,0.0016513511,0.0033902465,0.0005608206,0.0041191084,0.0010465696,0.5046905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983215,0.000030421841,0.000006561715,0.000024482362,0.00009865705,0.000007729348],"domain_scores_gemma":[0.9996798,0.00018367571,0.000014659855,0.000059523336,0.000045866283,0.000016454533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024655586,0.0013189593,0.0008870655,0.0007680565,0.0002870404,0.0018721154,0.0012648682,0.0006677773,0.015767636],"category_scores_gemma":[0.0011230359,0.0005566794,0.00062418584,0.0013012537,0.001106028,0.0019406345,0.00086805667,0.0023009114,0.0064987903],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011620886,0.000032701577,0.00012780543,0.0003906062,0.000052546027,0.000045275214,0.00010913716,0.06361636,0.00075833907,0.6847552,0.126456,0.123644285],"study_design_scores_gemma":[0.0000075780513,0.0000102795575,0.00017798711,0.00015384048,0.000014447022,0.00008340474,0.0000287537,0.06541604,0.00032120003,0.6761038,0.25766802,0.000014603762],"about_ca_topic_score_codex":0.001714391,"about_ca_topic_score_gemma":0.0024066188,"teacher_disagreement_score":0.015767636,"about_ca_system_score_codex":0.0007413872,"about_ca_system_score_gemma":0.0009703393,"threshold_uncertainty_score":0.052747965},"labels":[],"label_agreement":null},{"id":"W2487900016","doi":"10.1007/978-3-319-30262-1_9","title":"Watershed, Smirnov Measure, Fuzzy Proximity and Sorted Near Sets","year":2016,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","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 Manitoba","funders":"","keywords":"Watershed; Measure (data warehouse); Fuzzy logic; Mathematical morphology; Image (mathematics); Computer science; Segmentation; Artificial intelligence; Computer vision; Image segmentation; Fuzzy set; Mathematics; Data mining; Image processing","score_opus":0.1307468989193585,"score_gpt":0.30654118995355195,"score_spread":0.17579429103419345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487900016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014934388,0.06907391,0.71163785,0.0023486374,0.0018765212,0.000068246954,0.000723933,0.0010238445,0.19831264],"genre_scores_gemma":[0.28818938,0.07342744,0.47018448,0.00089640677,0.004016528,0.00023528363,0.0021164261,0.0008847602,0.1600493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994887,0.00007392376,0.000041643347,0.00011728153,0.00025568414,0.000022685794],"domain_scores_gemma":[0.9994728,0.00024932387,0.00006351302,0.00005700474,0.00012804168,0.000029350467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006806718,0.00074427185,0.0010276022,0.004610181,0.0008777935,0.004148889,0.001134965,0.0010769592,0.0073138033],"category_scores_gemma":[0.0036695304,0.0003740541,0.0004597378,0.0085115,0.0024638309,0.005345474,0.0012797347,0.0018642207,0.002766868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027742248,0.000022891429,0.00035430887,0.00038016235,0.000023770266,0.00007704696,0.00020808412,0.005388019,0.0010447424,0.7174729,0.026144467,0.24885574],"study_design_scores_gemma":[0.0000041259927,0.000018854365,0.0005194253,0.00008188549,0.00001628173,0.0002647787,0.00012697546,0.015615362,0.0008802983,0.9162079,0.0662391,0.000025084513],"about_ca_topic_score_codex":0.0017048313,"about_ca_topic_score_gemma":0.0021896637,"teacher_disagreement_score":0.0073138033,"about_ca_system_score_codex":0.0011418097,"about_ca_system_score_gemma":0.0008948893,"threshold_uncertainty_score":0.02446717},"labels":[],"label_agreement":null},{"id":"W2496718596","doi":"10.1007/978-3-319-30262-1_10","title":"Strong Connectedness Revisited","year":2016,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Logic, Reasoning, and Knowledge","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 Manitoba","funders":"","keywords":"Social connectedness; Computer science; Psychology; Social psychology","score_opus":0.04701322591494249,"score_gpt":0.24278370038101965,"score_spread":0.19577047446607715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496718596","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":[0.03281245,0.0068686777,0.07023851,0.011805649,0.0009340635,0.000050757666,0.00030745254,0.00026871607,0.8767138],"genre_scores_gemma":[0.7877362,0.00627503,0.024099706,0.0040172236,0.0017981632,0.0002822443,0.0006099515,0.0004862635,0.17469525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988539,0.0003164231,0.00004692905,0.00037977748,0.00030504295,0.0000978494],"domain_scores_gemma":[0.99789065,0.001118679,0.000104933475,0.0004012856,0.00035353162,0.00013095462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001202816,0.0006941133,0.00082411105,0.0026177957,0.003328981,0.00430279,0.0013844051,0.0023195855,0.029020699],"category_scores_gemma":[0.0068213767,0.000634059,0.00089123886,0.0026710709,0.00785016,0.013883102,0.003958943,0.0057716947,0.0036807377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045223032,0.0000024664648,0.00002936424,0.000014133904,0.0000028616078,0.000013652437,0.00009144644,0.00006119292,0.00003497134,0.9954717,0.001705045,0.0025686712],"study_design_scores_gemma":[0.0000029886364,0.0000024495716,0.000052920313,0.000014579286,0.0000039801557,0.000030661304,0.000050444694,0.00024121768,0.00005499327,0.9918172,0.007726474,0.0000022122208],"about_ca_topic_score_codex":0.001109299,"about_ca_topic_score_gemma":0.0009020293,"teacher_disagreement_score":0.029020699,"about_ca_system_score_codex":0.0018876222,"about_ca_system_score_gemma":0.0007429782,"threshold_uncertainty_score":0.097083926},"labels":[],"label_agreement":null},{"id":"W2500040093","doi":"10.1007/978-3-642-33439-9","title":"Time Series Analysis, Modeling and Applications","year":2012,"lang":"en","type":"book","venue":"Intelligent systems reference library","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":28,"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":"Series (stratigraphy); Computer science; Geology","score_opus":0.027757215512528903,"score_gpt":0.21995225315694078,"score_spread":0.19219503764441187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500040093","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023253597,0.23563325,0.4193311,0.0030698143,0.011846826,0.0002501585,0.0030279276,0.007936793,0.31657872],"genre_scores_gemma":[0.012899865,0.18624024,0.119694695,0.0018455838,0.0076971306,0.00041426928,0.004356122,0.0021798012,0.6646723],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950874,0.000038766848,0.00003460672,0.00006868572,0.00033519772,0.00001405055],"domain_scores_gemma":[0.9993568,0.00028507464,0.000032179138,0.000103770675,0.00019577146,0.000026483849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047164934,0.0019489133,0.0019257172,0.002767872,0.00032741256,0.0023084823,0.0010542605,0.0009583684,0.033926472],"category_scores_gemma":[0.0018824637,0.00050407235,0.00086301763,0.0052580633,0.00041125587,0.002695784,0.0007840299,0.0017397495,0.03773474],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022795533,0.000056276167,0.00010839863,0.000912338,0.000045768258,0.00006546061,0.00006736403,0.0037358708,0.0021404724,0.013485585,0.28939292,0.6899667],"study_design_scores_gemma":[0.000015061566,0.00006562969,0.0009792816,0.0004941294,0.00007372782,0.00038914516,0.000053097774,0.018494692,0.0015317257,0.043369163,0.93449384,0.00004045364],"about_ca_topic_score_codex":0.0011466099,"about_ca_topic_score_gemma":0.0016167932,"teacher_disagreement_score":0.033926472,"about_ca_system_score_codex":0.00045075215,"about_ca_system_score_gemma":0.0008074686,"threshold_uncertainty_score":0.11349529},"labels":[],"label_agreement":null},{"id":"W2502854152","doi":"10.1007/978-3-319-32168-4_5","title":"Intelligent Control Systems and Applications on Smart Grids","year":2016,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Microgrid Control and Optimization","field":"Engineering","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 Ontario Institute of Technology","funders":"","keywords":"Computer science; Smart grid; Control (management); Engineering; Electrical engineering; Artificial intelligence","score_opus":0.016336489273226017,"score_gpt":0.19469174297185501,"score_spread":0.178355253698629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2502854152","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":[0.0015067435,0.15758662,0.13872994,0.0023461932,0.0069854297,0.00014023962,0.00043110256,0.0020160456,0.6902577],"genre_scores_gemma":[0.015962021,0.15905434,0.038790252,0.0012783482,0.003493005,0.00016225441,0.00094879064,0.0005633571,0.77974766],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970526,0.000029937743,0.000019536059,0.00003988934,0.00018852735,0.000016850245],"domain_scores_gemma":[0.9997696,0.0000781773,0.000011809762,0.00004310194,0.00008443692,0.000012958494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028257424,0.0014112883,0.0010851786,0.001812853,0.00043927497,0.0022584575,0.00084920437,0.0010714842,0.030846871],"category_scores_gemma":[0.0006268134,0.0004996967,0.0005066439,0.0028672584,0.0005984112,0.00258259,0.0009842152,0.0016948261,0.01728312],"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":[0.000022680713,0.00005982922,0.000066719505,0.00091895234,0.000022718317,0.00006426168,0.00012835514,0.0064132414,0.0021593065,0.06593262,0.23063464,0.69357675],"study_design_scores_gemma":[0.0000063445227,0.000030643896,0.00021923242,0.00043448736,0.000015433321,0.00011292826,0.000033489407,0.006968724,0.0009148686,0.03633123,0.95491475,0.000017939627],"about_ca_topic_score_codex":0.0014297359,"about_ca_topic_score_gemma":0.0023148013,"teacher_disagreement_score":0.030846871,"about_ca_system_score_codex":0.0006522748,"about_ca_system_score_gemma":0.0007055925,"threshold_uncertainty_score":0.103193045},"labels":[],"label_agreement":null},{"id":"W2523130346","doi":"10.1007/978-3-319-44254-9_6","title":"Cohort Intelligence for Solving Travelling Salesman Problems","year":2016,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Metaheuristic Optimization Algorithms Research","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 Windsor","funders":"","keywords":"Knapsack problem; Travelling salesman problem; Cohort; Mathematical optimization; Computer science; Combinatorial optimization; Mach number; Mathematics; Artificial intelligence; Statistics; Engineering; Aerospace engineering","score_opus":0.07795382506558972,"score_gpt":0.27691218402052686,"score_spread":0.19895835895493713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523130346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041055456,0.0059902486,0.92592734,0.000832988,0.0007351065,0.000094022325,0.00026495958,0.00044215028,0.06160768],"genre_scores_gemma":[0.2134456,0.01614431,0.6531329,0.0006008876,0.0013736507,0.0009041941,0.0016163565,0.0005757249,0.11220635],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995461,0.00014342241,0.000023513512,0.000055326338,0.00019367797,0.000038039056],"domain_scores_gemma":[0.99926144,0.00047031528,0.000043207667,0.00007828719,0.000107292835,0.000039339488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094406115,0.001079631,0.0008454762,0.0011531415,0.0006391113,0.0021287915,0.0020083217,0.0011331404,0.013599615],"category_scores_gemma":[0.004926296,0.0003355596,0.0009816166,0.0025177056,0.0007728681,0.0015975435,0.0014703976,0.0026670191,0.0030343062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028492777,0.00005365613,0.00033944493,0.00028646213,0.00006911511,0.000060314265,0.000096213305,0.13708508,0.00043141242,0.55939275,0.030491354,0.27166566],"study_design_scores_gemma":[0.000015039396,0.000028661,0.00016197797,0.00007723039,0.000018307912,0.0000351935,0.000031442967,0.5590869,0.00023520617,0.40672514,0.033569038,0.000015844116],"about_ca_topic_score_codex":0.0047432226,"about_ca_topic_score_gemma":0.004594058,"teacher_disagreement_score":0.013599615,"about_ca_system_score_codex":0.0011497616,"about_ca_system_score_gemma":0.001206149,"threshold_uncertainty_score":0.045495212},"labels":[],"label_agreement":null},{"id":"W2587912107","doi":"10.1007/978-3-319-49879-9_8","title":"Game-Based Stroke Rehabilitation","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","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":"Ontario Tech University","funders":"","keywords":"Rehabilitation; Stroke (engine); Serious game; Physical medicine and rehabilitation; Context (archaeology); Video game; Psychology; Medicine; Physical therapy; Computer science; Multimedia; Engineering","score_opus":0.04266169461230815,"score_gpt":0.2814806462712497,"score_spread":0.23881895165894154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587912107","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":[0.0036915455,0.042302765,0.08582225,0.0017539763,0.002550848,0.00020680961,0.00067854184,0.002255996,0.8607373],"genre_scores_gemma":[0.02808628,0.03607842,0.026141359,0.0016192866,0.000632087,0.00028216187,0.001207163,0.00048581697,0.90546745],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983203,0.00002791529,0.000006242742,0.000020809477,0.000092904396,0.000020129728],"domain_scores_gemma":[0.99991906,0.000030790077,0.0000030527153,0.000007565536,0.00002191613,0.000017503284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019349727,0.0012418063,0.0005279364,0.0009550975,0.00038269302,0.0022843424,0.0014944169,0.00090791594,0.056654543],"category_scores_gemma":[0.000412464,0.00021236653,0.00045790832,0.00064634834,0.00040769318,0.0012144748,0.001611586,0.0010149132,0.021453993],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079946265,0.00021247011,0.00010124561,0.00063505763,0.00004190785,0.000111406924,0.00015858901,0.0022595916,0.0027790088,0.051427383,0.25723577,0.6849577],"study_design_scores_gemma":[0.000027035227,0.00007364919,0.0007341137,0.00064208877,0.000027021979,0.00041290943,0.00011823759,0.0050411727,0.0015317588,0.032336704,0.9590272,0.00002818671],"about_ca_topic_score_codex":0.0022852405,"about_ca_topic_score_gemma":0.006359092,"teacher_disagreement_score":0.056654543,"about_ca_system_score_codex":0.0007191467,"about_ca_system_score_gemma":0.00062918954,"threshold_uncertainty_score":0.18952835},"labels":[],"label_agreement":null},{"id":"W2588688841","doi":"10.1007/978-3-319-49879-9_3","title":"A Review of and Taxonomy for Computer Supported Neuro-Motor Rehabilitation Systems","year":2017,"lang":"en","type":"review","venue":"Intelligent systems reference library","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","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":"Rehabilitation; Boredom; Physical medicine and rehabilitation; Psychology; Computer science; Applied psychology; Medicine; Social psychology; Neuroscience","score_opus":0.16864710748664594,"score_gpt":0.371038023116936,"score_spread":0.20239091563029007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588688841","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":[0.00012588571,0.9966363,0.00067216594,0.0004692938,0.00023514533,0.00003038777,0.00013380288,0.000026129876,0.0016708517],"genre_scores_gemma":[0.00087602437,0.9960366,0.0016617167,0.00043654745,0.00019338209,0.000031894982,0.00018034856,0.000006334982,0.00057716353],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883586,0.00019018562,0.00038110773,0.00017010173,0.00036269546,0.000060043152],"domain_scores_gemma":[0.9964684,0.0020920273,0.00042181552,0.0001095579,0.00081315753,0.0000950135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00191149,0.0014220028,0.0025815216,0.012213291,0.00070435565,0.0030800472,0.0022925613,0.0021445437,0.007285176],"category_scores_gemma":[0.006161535,0.00060742226,0.0015544617,0.011263233,0.001122678,0.0047031664,0.0017285988,0.0017781444,0.0025751109],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057458765,0.00008286404,0.0003028088,0.06633935,0.00016208588,0.00017643791,0.00015612583,0.0004414584,0.00065595034,0.0072001466,0.031043304,0.893382],"study_design_scores_gemma":[0.000024909896,0.00014145253,0.0013048454,0.035055242,0.00054851786,0.0010024563,0.00018921528,0.00031457495,0.0004753579,0.0042906,0.9565894,0.00006337652],"about_ca_topic_score_codex":0.0059553753,"about_ca_topic_score_gemma":0.009041574,"teacher_disagreement_score":0.012213291,"about_ca_system_score_codex":0.0016470051,"about_ca_system_score_gemma":0.006465903,"threshold_uncertainty_score":0.024371326},"labels":[],"label_agreement":null},{"id":"W2596428662","doi":"10.1007/978-3-319-52483-2","title":"Foundations of Computer Vision","year":2017,"lang":"en","type":"book","venue":"Intelligent systems reference library","topic":"Image and Object Detection Techniques","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":"University of Manitoba","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Computer graphics (images)","score_opus":0.035314577059517016,"score_gpt":0.2838488421116975,"score_spread":0.24853426505218046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596428662","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":[0.001341261,0.14909568,0.35006735,0.0045024087,0.0076110065,0.00014015894,0.0008311694,0.0028301831,0.48358077],"genre_scores_gemma":[0.059982322,0.18738167,0.17955264,0.002361236,0.009783067,0.00052005064,0.0020039442,0.0010424363,0.5573727],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992459,0.00010686065,0.00003092527,0.00015066174,0.0004023622,0.000063258456],"domain_scores_gemma":[0.99927133,0.00023805712,0.0000347206,0.0001749544,0.00023273978,0.000048234393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005110469,0.0015056381,0.0014049888,0.0023824978,0.0008153295,0.0039451146,0.0017318075,0.0013985863,0.03252423],"category_scores_gemma":[0.0016765735,0.00061212765,0.0006385542,0.0032888504,0.001624854,0.0034132104,0.001674877,0.0026433119,0.02888256],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016665113,0.000037285405,0.00010942175,0.00068641466,0.000029891913,0.000045918023,0.00009643285,0.0023234955,0.00095086946,0.29153392,0.18497732,0.51919234],"study_design_scores_gemma":[0.0000068962463,0.000015979998,0.0003059094,0.00031030565,0.000017247876,0.00016925302,0.000048399124,0.005431804,0.0006529348,0.3102687,0.68275464,0.000017907387],"about_ca_topic_score_codex":0.0018845407,"about_ca_topic_score_gemma":0.0019177062,"teacher_disagreement_score":0.03252423,"about_ca_system_score_codex":0.0014835268,"about_ca_system_score_gemma":0.001999082,"threshold_uncertainty_score":0.108804405},"labels":[],"label_agreement":null},{"id":"W2596494642","doi":"10.1007/978-3-319-52483-2_3","title":"Visualising Pixel Intensity Distributions","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Image Retrieval and Classification Techniques","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 Manitoba","funders":"","keywords":"Pixel; Image (mathematics); Intensity (physics); Computer science; Computer graphics (images); Computer vision; Artificial intelligence; Optics; Physics","score_opus":0.07669794679301752,"score_gpt":0.2891731691986276,"score_spread":0.21247522240561012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596494642","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0105956495,0.0020035247,0.9377031,0.00033137907,0.00016211574,0.00009566243,0.00083906855,0.007941202,0.04032832],"genre_scores_gemma":[0.1453555,0.007932571,0.7502576,0.00045656558,0.00019292999,0.00012365644,0.0035149176,0.0035653666,0.08860091],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998528,0.00001232288,0.000006474273,0.0000411731,0.00007082529,0.000016459922],"domain_scores_gemma":[0.99977285,0.000057370733,0.000018741832,0.0000496777,0.00008457952,0.00001683471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003199894,0.00081044715,0.0003497554,0.0015656025,0.000180697,0.002090945,0.0007474839,0.0006594069,0.025058737],"category_scores_gemma":[0.0007928352,0.00035271308,0.0003920685,0.0013981409,0.00030576406,0.0013447714,0.00076887663,0.00071148894,0.0112689],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010812655,0.000032274424,0.0003605972,0.00063666276,0.000026188647,0.00011041457,0.00015362006,0.005352671,0.19636701,0.011680174,0.019460052,0.76571214],"study_design_scores_gemma":[0.000045789926,0.00016975601,0.010211163,0.00061894505,0.00012145504,0.0032204003,0.000440917,0.16512397,0.3977578,0.044427685,0.3777263,0.00013581594],"about_ca_topic_score_codex":0.0009958124,"about_ca_topic_score_gemma":0.001349093,"teacher_disagreement_score":0.025058737,"about_ca_system_score_codex":0.00036242348,"about_ca_system_score_gemma":0.0002904138,"threshold_uncertainty_score":0.08382988},"labels":[],"label_agreement":null},{"id":"W264185638","doi":"10.1007/978-3-319-10668-7","title":"Advanced Technologies for Intelligent Transportation Systems","year":2014,"lang":"en","type":"book","venue":"Intelligent systems reference library","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":42,"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":"Division of Chemistry; Federal Highway Administration; Federation for the Humanities and Social Sciences","keywords":"Intelligent transportation system; Computer science; Business; Systems engineering; Engineering; Transport engineering","score_opus":0.0192064888493882,"score_gpt":0.21882986313621972,"score_spread":0.19962337428683152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W264185638","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":[0.00084062247,0.09069702,0.13918161,0.003090109,0.009050032,0.000110990906,0.0008595362,0.0033586924,0.7528114],"genre_scores_gemma":[0.0041312887,0.049250197,0.030897368,0.0007648343,0.0017986939,0.00009505521,0.0011244909,0.000697578,0.9112405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99958843,0.00002823515,0.000016096772,0.000053040414,0.000293811,0.000020404252],"domain_scores_gemma":[0.99971884,0.000071035494,0.000012631272,0.00004532829,0.0001313886,0.000020767513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026471997,0.0019413419,0.0010585402,0.002528005,0.0007443403,0.0026084834,0.0010693795,0.0010040934,0.07139006],"category_scores_gemma":[0.0007197226,0.00058273005,0.0005978611,0.003306127,0.00046582185,0.0043866206,0.0012355301,0.0026282694,0.060367335],"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":[0.000013885636,0.00003340464,0.00005972812,0.0003349356,0.000016696278,0.000039392813,0.000063390515,0.0018398165,0.0014258542,0.044518128,0.50916195,0.44249284],"study_design_scores_gemma":[0.0000028284783,0.000011329029,0.00013071611,0.0001466616,0.000009334331,0.00007203302,0.000018287516,0.0021534525,0.00038963024,0.019593008,0.97746354,0.000009201682],"about_ca_topic_score_codex":0.0021727588,"about_ca_topic_score_gemma":0.004393175,"teacher_disagreement_score":0.07139006,"about_ca_system_score_codex":0.0010401134,"about_ca_system_score_gemma":0.001063526,"threshold_uncertainty_score":0.23882353},"labels":[],"label_agreement":null},{"id":"W2770053496","doi":"10.1007/978-3-319-67588-6_13","title":"Application of Tolerance Near Sets to Audio Signal Classification","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Music and Audio Processing","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 Winnipeg","funders":"","keywords":"Computer science; Extension (predicate logic); Set (abstract data type); Audio signal; SIGNAL (programming language); Class (philosophy); Fuzzy set; Pattern recognition (psychology); Function (biology); Artificial intelligence; Image (mathematics); Data mining; Fuzzy logic; Speech recognition; Speech coding","score_opus":0.06270425709430091,"score_gpt":0.27220253335771644,"score_spread":0.20949827626341552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770053496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065725003,0.0005824545,0.9896153,0.00010133364,0.00010875754,0.00003198005,0.00005832502,0.00035372138,0.0025756327],"genre_scores_gemma":[0.23205441,0.0013495886,0.7520916,0.0003092371,0.00038375854,0.00019629988,0.00076642603,0.0004403381,0.01240838],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794644,0.00041059285,0.00015952399,0.0003079642,0.0010810803,0.00009446401],"domain_scores_gemma":[0.99712783,0.0014695933,0.00017543798,0.00050519296,0.0006114634,0.00011053629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015683232,0.0008600107,0.0018012697,0.0024988235,0.0011666629,0.002284823,0.00207212,0.0011868943,0.0031519725],"category_scores_gemma":[0.0075512743,0.00063624425,0.0015852895,0.0027763203,0.0014416366,0.0017507334,0.0038080488,0.002392259,0.0014896997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019893862,0.00013357507,0.0008310052,0.0003063977,0.00011949683,0.00012616458,0.00030361823,0.17477386,0.014342912,0.09145525,0.005354608,0.71205413],"study_design_scores_gemma":[0.000009112559,0.00011488378,0.0004543094,0.000048988335,0.000026759557,0.00017825887,0.00009322694,0.85742384,0.008550337,0.12637764,0.006692541,0.00003007774],"about_ca_topic_score_codex":0.002540159,"about_ca_topic_score_gemma":0.0015349379,"teacher_disagreement_score":0.0031519725,"about_ca_system_score_codex":0.0010437652,"about_ca_system_score_gemma":0.0008433174,"threshold_uncertainty_score":0.010544419},"labels":[],"label_agreement":null},{"id":"W2776634097","doi":"10.1007/978-3-662-56291-8_4","title":"Patient-Physician Interaction Model","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","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":"Psychology; Medicine; Family medicine","score_opus":0.34305969954651344,"score_gpt":0.4054999041685047,"score_spread":0.062440204621991235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776634097","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015653325,0.00087563973,0.54813343,0.014147014,0.00085302466,0.0005930621,0.003906972,0.0017910276,0.41404647],"genre_scores_gemma":[0.52549225,0.0014438995,0.12331082,0.0029266556,0.00053931476,0.0010678888,0.0035629624,0.00023463224,0.3414215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985649,0.0005421264,0.00005822488,0.00027109962,0.000387782,0.00017583984],"domain_scores_gemma":[0.9991155,0.00042773993,0.000040251005,0.00011468402,0.0002058621,0.00009595395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013253102,0.00065352494,0.0003899961,0.00077397,0.0008272459,0.0023787313,0.0022271685,0.002497691,0.043693233],"category_scores_gemma":[0.0034106032,0.00034347957,0.00097547454,0.0008758628,0.00078947167,0.0029953583,0.0015067087,0.001661348,0.012646758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020330328,0.00029895979,0.001990423,0.00017531255,0.000054147993,0.00057443697,0.00061606,0.05436703,0.0013746347,0.796891,0.067498915,0.075955845],"study_design_scores_gemma":[0.00013915852,0.00021275229,0.0011743406,0.000087971,0.00008517841,0.0010484867,0.00039149614,0.5967319,0.0013146654,0.2734906,0.1252709,0.00005248321],"about_ca_topic_score_codex":0.0076950067,"about_ca_topic_score_gemma":0.0054970765,"teacher_disagreement_score":0.043693233,"about_ca_system_score_codex":0.0014755931,"about_ca_system_score_gemma":0.0023667363,"threshold_uncertainty_score":0.14616847},"labels":[],"label_agreement":null},{"id":"W2776723170","doi":"10.1007/978-3-662-56291-8_7","title":"Self-aware Patient Agent Model","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Diabetes Management and Research","field":"Medicine","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":"Diabetes mellitus; Computer science; Sample (material); Self-management; Medicine; Psychology; Artificial intelligence; Physics","score_opus":0.07950171356039881,"score_gpt":0.28840405043424283,"score_spread":0.20890233687384402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776723170","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02071395,0.001028344,0.8180859,0.004743827,0.0005688115,0.00026198098,0.0011592924,0.0017463309,0.15169151],"genre_scores_gemma":[0.5008913,0.002134494,0.3271348,0.0014649736,0.0002561648,0.00045738448,0.0018645435,0.00023027419,0.16556609],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975115,0.00006921613,0.000015857915,0.000053628937,0.000083996354,0.000026079488],"domain_scores_gemma":[0.9997596,0.000074525306,0.000019958532,0.00004700095,0.00006447106,0.00003451085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004955969,0.00031889457,0.0002636055,0.00026353062,0.00031365562,0.0014771685,0.0013883197,0.0008869899,0.008109222],"category_scores_gemma":[0.0010287322,0.00021214897,0.0004195881,0.0003264084,0.0003678835,0.0014998463,0.0008562167,0.0010130126,0.0026968264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012320759,0.00027365677,0.0015300433,0.00020459328,0.00007058185,0.00037722988,0.00042486697,0.20244373,0.0028678412,0.60160255,0.034082945,0.15599874],"study_design_scores_gemma":[0.000042952805,0.00006996833,0.00039682686,0.00005750374,0.000050989234,0.00027731105,0.00008861332,0.79304713,0.0016062441,0.109686114,0.094653405,0.000023015155],"about_ca_topic_score_codex":0.002852845,"about_ca_topic_score_gemma":0.0031549537,"teacher_disagreement_score":0.008109222,"about_ca_system_score_codex":0.0006494323,"about_ca_system_score_gemma":0.0010749773,"threshold_uncertainty_score":0.02712804},"labels":[],"label_agreement":null},{"id":"W2778809987","doi":"10.1007/978-3-662-56291-8_6","title":"Control Patient Agent Model","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Diabetes Management and Research","field":"Medicine","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":"Meaning (existential); Affect (linguistics); Diabetes mellitus; Control (management); Psychology; Medicine; Computer science; Nursing; Artificial intelligence; Communication; Psychotherapist; Endocrinology","score_opus":0.07947676022752705,"score_gpt":0.2863972211643158,"score_spread":0.20692046093678879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778809987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011199242,0.00053488347,0.71919465,0.0038821488,0.00090481393,0.00056004117,0.0028915238,0.0048998944,0.2559328],"genre_scores_gemma":[0.42164722,0.0012921643,0.2178911,0.0019135573,0.00038347152,0.0008315887,0.004945503,0.0006153085,0.3504801],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955267,0.000093667346,0.000020984393,0.00011728971,0.00017073382,0.00004468681],"domain_scores_gemma":[0.99972814,0.000074130054,0.000017725146,0.00006684459,0.00008816907,0.00002491179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060376606,0.0006262189,0.0003405587,0.00037572486,0.00036542813,0.0020581333,0.0016420949,0.001062935,0.026816403],"category_scores_gemma":[0.0016391253,0.00024488615,0.0006571042,0.00030062438,0.00040956552,0.0014992723,0.00099108,0.0013163207,0.007899347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042198334,0.00035082374,0.001791789,0.0002631463,0.000084295316,0.00040836303,0.0002900708,0.1956228,0.0039616763,0.45150256,0.09248875,0.25281376],"study_design_scores_gemma":[0.00011431408,0.00011103511,0.0003125434,0.000054581804,0.000061972154,0.00021300744,0.00007131767,0.77122957,0.0042516175,0.093724675,0.12982512,0.000030163608],"about_ca_topic_score_codex":0.005664139,"about_ca_topic_score_gemma":0.00464479,"teacher_disagreement_score":0.026816403,"about_ca_system_score_codex":0.0008108948,"about_ca_system_score_gemma":0.0013926014,"threshold_uncertainty_score":0.08970976},"labels":[],"label_agreement":null},{"id":"W2780161841","doi":"10.1007/978-3-662-56291-8_8","title":"Blood Glucose Monitoring Frequency Evaluation","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Diabetes Management and Research","field":"Medicine","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":"Oversampling; Representation (politics); Medicine; Computer science; Telecommunications","score_opus":0.12904374503406452,"score_gpt":0.337077021527658,"score_spread":0.2080332764935935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780161841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02109709,0.023843307,0.5580269,0.0026235955,0.003091796,0.00024691792,0.0023714534,0.010349114,0.37834978],"genre_scores_gemma":[0.21398273,0.025437161,0.23941195,0.0018515708,0.0025322856,0.00022006303,0.004905098,0.0016343592,0.5100248],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99946266,0.000052101055,0.00002197656,0.00007840413,0.00036039375,0.00002446944],"domain_scores_gemma":[0.99946433,0.00013257793,0.000033792465,0.000049993392,0.0002966275,0.000022545222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097244,0.0006930468,0.0004690349,0.0014657918,0.00019456772,0.0013572399,0.00066910713,0.00046165116,0.013241712],"category_scores_gemma":[0.0014318096,0.000205107,0.00026262415,0.0011321332,0.00014966849,0.00071310863,0.0004519797,0.00047204946,0.009382808],"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":[0.000094245916,0.000031767962,0.0009895815,0.00009677181,0.000013797065,0.000055613044,0.00002325409,0.0010568323,0.005154194,0.003027149,0.043611098,0.9458458],"study_design_scores_gemma":[0.000047169997,0.00042048778,0.024625726,0.0007640687,0.0001838945,0.002489035,0.0002116062,0.09587729,0.07753143,0.027313568,0.77036965,0.0001661762],"about_ca_topic_score_codex":0.0012849125,"about_ca_topic_score_gemma":0.0018502683,"teacher_disagreement_score":0.013241712,"about_ca_system_score_codex":0.00041339788,"about_ca_system_score_gemma":0.00029890105,"threshold_uncertainty_score":0.044297934},"labels":[],"label_agreement":null},{"id":"W2940958054","doi":"10.1007/978-3-030-13743-4_9","title":"Dashboards for Computer-Supported Collaborative Learning","year":2019,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":27,"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":"Collaborative learning; Learning analytics; Computer science; Mirroring; Knowledge management; Analytics; Computer-supported collaborative learning; Active learning (machine learning); Data science; Psychology; Artificial intelligence","score_opus":0.029444330555492965,"score_gpt":0.2609529610215193,"score_spread":0.23150863046602635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940958054","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074158763,0.013653495,0.7373216,0.0022777615,0.004559885,0.0004714959,0.0018832195,0.046577606,0.18583907],"genre_scores_gemma":[0.06675908,0.014304507,0.34590444,0.0009724994,0.0012262713,0.00082436966,0.0059229736,0.0054445146,0.5586414],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893636,0.00018252047,0.000069952664,0.0001507066,0.000588725,0.00007176085],"domain_scores_gemma":[0.99801314,0.00091000105,0.00007204532,0.00042759575,0.00041179953,0.00016533163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012799163,0.0014678885,0.00085917197,0.0012951443,0.00085028406,0.00458579,0.0030065277,0.0017684562,0.09235451],"category_scores_gemma":[0.0038429454,0.0005202425,0.0005202286,0.0027089603,0.0006218582,0.0050279107,0.0031384917,0.0022116504,0.02621033],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001374364,0.00012973741,0.000120027216,0.00032366024,0.000025694468,0.000102148675,0.00030287768,0.0018511992,0.003097437,0.04126742,0.18381293,0.7688295],"study_design_scores_gemma":[0.0000658708,0.0001485254,0.0005767257,0.0004149903,0.000038218535,0.00022621514,0.00030107805,0.018178537,0.0055607227,0.050482478,0.9239425,0.000064074484],"about_ca_topic_score_codex":0.0022065528,"about_ca_topic_score_gemma":0.002752991,"teacher_disagreement_score":0.09235451,"about_ca_system_score_codex":0.0006130505,"about_ca_system_score_gemma":0.0006892245,"threshold_uncertainty_score":0.30895662},"labels":[],"label_agreement":null},{"id":"W2977257727","doi":"10.1007/978-3-030-22192-8_3","title":"Shape Fingerprints, Geodesic Trails and Free Abelian Groups on Skeletal Vortexes","year":2019,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Computer Graphics and Visualization Techniques","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 Manitoba","funders":"","keywords":"Geodesic; Hue; Pixel; Computer vision; Mathematics; Artificial intelligence; Space (punctuation); Computer graphics (images); Geometry; Topology (electrical circuits); Computer science; Combinatorics","score_opus":0.03625780842504665,"score_gpt":0.24835869228396293,"score_spread":0.2121008838589163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977257727","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":[0.5604376,0.0038327507,0.20885704,0.0014380419,0.0011035549,0.00016617936,0.0006435122,0.0007423717,0.22277889],"genre_scores_gemma":[0.8554506,0.0022191755,0.040206768,0.00020503857,0.00058665226,0.00007024721,0.00056102,0.000400006,0.100300565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998229,0.000028190163,0.00000825277,0.000030333924,0.00007196029,0.000038420567],"domain_scores_gemma":[0.9996667,0.00008239211,0.000063878906,0.00006512608,0.0000605855,0.0000613437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022744658,0.000603884,0.0005674133,0.0026675838,0.001176636,0.0024245186,0.0006804146,0.00075014634,0.010113809],"category_scores_gemma":[0.0012931562,0.00032151592,0.00037711105,0.0016517123,0.0018796328,0.0028012467,0.0014254195,0.0013102045,0.0015076064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055519173,0.00002433704,0.0002487032,0.000045604935,0.0000040257746,0.000072947616,0.00024327978,0.0020415005,0.0017219284,0.96074396,0.0030954771,0.03170277],"study_design_scores_gemma":[0.000012456024,0.00003747108,0.00043154997,0.000026976155,0.000004316625,0.00019526931,0.00019869063,0.011353492,0.0008093264,0.9775454,0.009368267,0.000016714386],"about_ca_topic_score_codex":0.000577935,"about_ca_topic_score_gemma":0.0006833327,"teacher_disagreement_score":0.010113809,"about_ca_system_score_codex":0.00052647083,"about_ca_system_score_gemma":0.00029848304,"threshold_uncertainty_score":0.03383404},"labels":[],"label_agreement":null},{"id":"W2979166958","doi":"10.1007/978-3-030-22192-8_8","title":"Brouwer–Lebesgue Tiling Theorem and Nerve Complexes That Cover Surface Shapes","year":2019,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Quasicrystal Structures and Properties","field":"Materials 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 Manitoba","funders":"","keywords":"Cover (algebra); Lebesgue integration; Surface (topology); Mathematics; Pure mathematics; Geometry; Engineering","score_opus":0.05029929272066548,"score_gpt":0.23110053545104747,"score_spread":0.180801242730382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979166958","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":[0.027991565,0.005619396,0.22557582,0.0012020138,0.00092536607,0.000049321487,0.0003740925,0.0003881841,0.73787427],"genre_scores_gemma":[0.3737492,0.009945057,0.1347445,0.0007621025,0.00093861506,0.00020404201,0.0014362057,0.001071648,0.47714868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998093,0.000019861984,0.000009219597,0.000045802808,0.00009363379,0.00002218771],"domain_scores_gemma":[0.9998087,0.00006736124,0.000013832514,0.00004098935,0.000050171173,0.000018998371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020603118,0.0005061209,0.00053400325,0.0010784992,0.0007360374,0.0018917314,0.00065401127,0.0006741179,0.011662268],"category_scores_gemma":[0.00082862854,0.00033085156,0.0004226303,0.00088334584,0.0014453675,0.0037136127,0.0010707751,0.0017322907,0.0032679169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070476526,0.0000055160617,0.00002896907,0.000053557786,0.0000036014426,0.000024289358,0.000087788576,0.0012433121,0.0009845536,0.9631499,0.006258668,0.028152792],"study_design_scores_gemma":[0.0000035508315,0.0000075137414,0.00012142348,0.000022530381,0.0000036135796,0.000120844845,0.00004316213,0.0048645325,0.0011885666,0.9216559,0.07195907,0.000009265817],"about_ca_topic_score_codex":0.0009388197,"about_ca_topic_score_gemma":0.00095355214,"teacher_disagreement_score":0.011662268,"about_ca_system_score_codex":0.0010112436,"about_ca_system_score_gemma":0.00034508752,"threshold_uncertainty_score":0.03901422},"labels":[],"label_agreement":null},{"id":"W299138675","doi":"10.1007/978-3-319-01285-8_5","title":"Determining the ‘Fault Zone’ of Fall Events in Long Term Care","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Technology and Human Factors in Education and Health","field":"Medicine","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":"Term (time); Fault (geology); Environmental science; Computer science; Geology; Reliability engineering; Seismology; Engineering; Physics; Astronomy","score_opus":0.052455350839339276,"score_gpt":0.3089657754094516,"score_spread":0.2565104245701123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W299138675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24530661,0.040820245,0.48291358,0.009199514,0.0017727687,0.000245718,0.0053038434,0.0030454884,0.21139225],"genre_scores_gemma":[0.7841304,0.01447049,0.15487161,0.00067472307,0.00039140985,0.00009615881,0.00401765,0.00030401943,0.041043557],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99975723,0.000046308578,0.0000285637,0.000033983404,0.000107682376,0.000026162226],"domain_scores_gemma":[0.99911886,0.00055267656,0.0000754724,0.00003226996,0.0001930165,0.000027631877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005388596,0.0004069721,0.0004250094,0.0016460019,0.00039737707,0.0015835515,0.0011044103,0.00077945035,0.0072139427],"category_scores_gemma":[0.0040744003,0.0002009164,0.0003406519,0.0016238017,0.00041842976,0.0011576125,0.00048794714,0.00060534803,0.0022683416],"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":[0.00019387313,0.000053803826,0.0405307,0.0004492142,0.00004656937,0.0005832622,0.0012952491,0.011203194,0.0026800395,0.011600599,0.035302676,0.8960608],"study_design_scores_gemma":[0.00006641425,0.00053917326,0.4709719,0.0024840955,0.00029433903,0.0051534846,0.009522262,0.15851514,0.011705742,0.14414881,0.19632658,0.00027200396],"about_ca_topic_score_codex":0.014227247,"about_ca_topic_score_gemma":0.023102868,"teacher_disagreement_score":0.014227247,"about_ca_system_score_codex":0.0006308871,"about_ca_system_score_gemma":0.00080498785,"threshold_uncertainty_score":0.028288841},"labels":[],"label_agreement":null},{"id":"W3048365586","doi":"10.1007/978-3-030-52800-3_2","title":"Key Concepts of Fuzzy Sets","year":2020,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Fuzzy Logic and Control Systems","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":"Key (lock); Fuzzy logic; Computer science; Characterization (materials science); Fuzzy set; Artificial intelligence","score_opus":0.0454619007870705,"score_gpt":0.24537055160482735,"score_spread":0.19990865081775686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048365586","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":[0.0018273686,0.0639376,0.18774363,0.003713349,0.004240906,0.00010607947,0.00060400227,0.00042305904,0.73740405],"genre_scores_gemma":[0.14453095,0.10388932,0.22500631,0.004563895,0.010254023,0.0009743996,0.0013849189,0.00045842887,0.5089377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99944633,0.00009828445,0.000037360394,0.00009832383,0.00028620783,0.00003347534],"domain_scores_gemma":[0.99967265,0.00017397442,0.000019079518,0.000041079835,0.00007941434,0.000013914217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051735755,0.0010541395,0.000823994,0.0018312905,0.0010019973,0.0029028072,0.0011794504,0.0011148454,0.020927152],"category_scores_gemma":[0.0015804463,0.00038383715,0.0006243462,0.002175139,0.002458937,0.0030917064,0.0009835964,0.0021917599,0.0068151737],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005258295,0.000007820503,0.00003157481,0.00019408307,0.0000063447046,0.0000366716,0.00019611297,0.0006384334,0.00041313985,0.9239239,0.024562763,0.049983952],"study_design_scores_gemma":[0.000003859199,0.000009467105,0.00010425815,0.00011660302,0.0000064684227,0.00011419384,0.00006392433,0.001707628,0.00019831855,0.6963961,0.3012706,0.000008410442],"about_ca_topic_score_codex":0.0015787572,"about_ca_topic_score_gemma":0.0010633696,"teacher_disagreement_score":0.020927152,"about_ca_system_score_codex":0.0013066815,"about_ca_system_score_gemma":0.0009120135,"threshold_uncertainty_score":0.07000834},"labels":[],"label_agreement":null},{"id":"W3048603571","doi":"10.1007/978-3-030-52800-3_4","title":"Fuzzy Relations and Relational Computing","year":2020,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Advanced Algebra and Logic","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":"Fuzzy logic; Fuzzy classification; Fuzzy set operations; Interpretation (philosophy); Mathematics; Computer science; Artificial intelligence; Type-2 fuzzy sets and systems; Fuzzy number; Fuzzy set; Theoretical computer science; Data mining; Algebra over a field; Pure mathematics","score_opus":0.05462454617304618,"score_gpt":0.23385572075047548,"score_spread":0.1792311745774293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048603571","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":[0.00370133,0.09671371,0.15766244,0.0053677317,0.002435592,0.00007291378,0.00035694416,0.0005070737,0.73318225],"genre_scores_gemma":[0.1543103,0.082770824,0.11215021,0.00218995,0.0050466917,0.00025468014,0.001041995,0.0004003366,0.641835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995838,0.00008736393,0.000021183829,0.00006218951,0.00021848617,0.000026975853],"domain_scores_gemma":[0.9996935,0.000169526,0.00001351429,0.000054528125,0.000053946846,0.000014998066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047861013,0.0006678849,0.000717381,0.0014435112,0.0011106313,0.003878759,0.00086920016,0.00074935827,0.023134567],"category_scores_gemma":[0.0015798069,0.00036488302,0.00042771216,0.0031078293,0.0024465465,0.0054636025,0.0008769238,0.0017262733,0.0058496697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035809007,0.0000062715044,0.000023257351,0.000085442705,0.000004006993,0.000021460502,0.00025154304,0.00028697902,0.00017372078,0.93694353,0.022524212,0.03967602],"study_design_scores_gemma":[0.000002450781,0.000005427266,0.00008822745,0.00007213465,0.00000614386,0.00007865288,0.000119813565,0.0012065056,0.00015375772,0.7710205,0.22724062,0.0000057077655],"about_ca_topic_score_codex":0.0026609444,"about_ca_topic_score_gemma":0.0029096608,"teacher_disagreement_score":0.023134567,"about_ca_system_score_codex":0.0013573595,"about_ca_system_score_gemma":0.00077676214,"threshold_uncertainty_score":0.07739282},"labels":[],"label_agreement":null},{"id":"W3136572045","doi":"10.1007/978-3-030-59608-8_11","title":"Lessons Learned from Building a Virtual Patient Platform","year":2021,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Innovations in Medical Education","field":"Medicine","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":"Bruyère; McGill University","funders":"","keywords":"Harm; Medical education; Medicine; Psychology; Engineering","score_opus":0.12049951949454123,"score_gpt":0.32726199792239236,"score_spread":0.20676247842785112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136572045","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":[0.009023964,0.0066878134,0.3272752,0.016855918,0.0028802438,0.00012993281,0.00023674566,0.0032312314,0.63367885],"genre_scores_gemma":[0.06771094,0.008829789,0.3604451,0.0029841082,0.000778515,0.000115356,0.0006465729,0.0023343293,0.55615526],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990503,0.0002719027,0.00003169881,0.00007564261,0.00050402083,0.00006642642],"domain_scores_gemma":[0.9988802,0.00048695103,0.000020421145,0.00018862901,0.00026035123,0.00016353292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001796403,0.0005356317,0.00030937808,0.00075954676,0.0012086377,0.007938666,0.0013572088,0.0017418732,0.029206658],"category_scores_gemma":[0.0028154443,0.00039808117,0.0005065179,0.0010224988,0.0013969211,0.009856811,0.0039700516,0.00256205,0.011123576],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027741095,0.00008452971,0.0004146806,0.0002587512,0.000014630121,0.0005850918,0.0015239958,0.0047086207,0.0015326593,0.36177817,0.14674246,0.4823286],"study_design_scores_gemma":[0.000007255645,0.00003683846,0.00019335927,0.00014388384,0.000012058349,0.00080364774,0.00063435774,0.005671515,0.0017516809,0.057247307,0.93347514,0.000022888182],"about_ca_topic_score_codex":0.0032285168,"about_ca_topic_score_gemma":0.004762759,"teacher_disagreement_score":0.029206658,"about_ca_system_score_codex":0.0010242093,"about_ca_system_score_gemma":0.0017833521,"threshold_uncertainty_score":0.09770602},"labels":[],"label_agreement":null},{"id":"W3138915226","doi":"10.1007/978-3-030-59608-8_28","title":"Frontiers of Immersive Gaming Technology: A Survey of Novel Game Interaction Design and Serious Games for Cognition","year":2021,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","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":"Ontario Tech University","funders":"","keywords":"Brain–computer interface; Novelty; Popularity; Computer science; Human–computer interaction; Computer game; Field (mathematics); Interface (matter); Multimedia; Electroencephalography; Psychology; Neuroscience","score_opus":0.10405224416291202,"score_gpt":0.28551277184190005,"score_spread":0.18146052767898802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138915226","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":[0.0044923984,0.8260801,0.040941484,0.0033789682,0.0016941665,0.00009339801,0.00015579813,0.0002937418,0.12287],"genre_scores_gemma":[0.037011016,0.8083285,0.0510662,0.002091773,0.0016293145,0.0002487114,0.00037612472,0.00026959367,0.0989787],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970657,0.00005906514,0.00002450442,0.000041823907,0.00014158495,0.000026358442],"domain_scores_gemma":[0.99952626,0.00031677686,0.000018322391,0.0000158285,0.00007793393,0.00004486814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057720393,0.00093527226,0.0006496103,0.0020992905,0.0003385938,0.0038426241,0.0010909863,0.0011180872,0.010495963],"category_scores_gemma":[0.001101054,0.00038214817,0.00040447147,0.0026122127,0.0012844164,0.0043361047,0.0012441978,0.0016130827,0.0024929708],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044949833,0.0001489594,0.0003577918,0.0034067489,0.000021738228,0.00010364746,0.0008642839,0.0006459613,0.0035092938,0.09794913,0.03844314,0.8545044],"study_design_scores_gemma":[0.000014785793,0.00016861275,0.0020759096,0.0031507965,0.000025294266,0.0014069395,0.0006669082,0.00243895,0.0013565159,0.06293703,0.9257185,0.00003978899],"about_ca_topic_score_codex":0.0012459417,"about_ca_topic_score_gemma":0.0031878338,"teacher_disagreement_score":0.010495963,"about_ca_system_score_codex":0.00079967006,"about_ca_system_score_gemma":0.00094539294,"threshold_uncertainty_score":0.0351125},"labels":[],"label_agreement":null},{"id":"W3139427354","doi":"10.1007/978-3-030-59608-8_12","title":"Engaging Learners in Presimulation Preparation Through Virtual Simulation Games","year":2021,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Simulation-Based Education in Healthcare","field":"Medicine","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":"Nipissing University; Trent University; University of Ottawa; Queen's University","funders":"","keywords":"Rubric; Instructional simulation; Nurse educator; Computer science; Nurse education; Medical education; Virtual reality; Medicine; Mathematics education; Psychology; Human–computer interaction","score_opus":0.10925350111995771,"score_gpt":0.3681229303231319,"score_spread":0.25886942920317424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139427354","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":[0.1542525,0.0041381456,0.32860246,0.0017831319,0.0007880759,0.00042401065,0.00018669969,0.0025918004,0.5072332],"genre_scores_gemma":[0.3584233,0.0060834126,0.13933374,0.0007197813,0.00015666772,0.000473358,0.00048744032,0.0005741874,0.49374813],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983335,0.000054332828,0.000005885375,0.00002270604,0.000053895048,0.000029885035],"domain_scores_gemma":[0.99969316,0.00017118157,0.00001680889,0.000018773751,0.00003477254,0.0000653187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034724944,0.0011282401,0.00030177904,0.00034183526,0.00032625717,0.002104285,0.0011499986,0.0008226438,0.01806355],"category_scores_gemma":[0.0012773582,0.00019453638,0.00029784627,0.0002099191,0.00031989822,0.0016262146,0.0020765993,0.0011817298,0.004892467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004006276,0.0020197676,0.0014955555,0.00076416763,0.000030441117,0.0007211634,0.007874458,0.015560884,0.032860383,0.07998265,0.04746581,0.81082404],"study_design_scores_gemma":[0.00012341549,0.0015289516,0.0034700467,0.0012420192,0.00007117609,0.0020583477,0.0073005846,0.052788835,0.06123579,0.09495098,0.77511704,0.00011279907],"about_ca_topic_score_codex":0.00023500649,"about_ca_topic_score_gemma":0.0006867645,"teacher_disagreement_score":0.01806355,"about_ca_system_score_codex":0.00030056675,"about_ca_system_score_gemma":0.00047731397,"threshold_uncertainty_score":0.06042856},"labels":[],"label_agreement":null},{"id":"W3180707480","doi":"10.1007/978-3-030-76732-7_5","title":"Adaptive Machine Learning Algorithm and Analytics of Big Genomic Data for Gene Prediction","year":2021,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"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; Big data; Genome; Gene; Genomics; Machine learning; Confusion matrix; Computational genomics; Artificial intelligence; Coding (social sciences); Gene prediction; Computational biology; Data mining; Biology; Genetics; Mathematics","score_opus":0.05479591821128172,"score_gpt":0.2542025929547279,"score_spread":0.1994066747434462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180707480","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00185606,0.0053787814,0.98276836,0.00049552665,0.00046171874,0.000030499545,0.00059397373,0.0028401362,0.005574984],"genre_scores_gemma":[0.026430901,0.0061196745,0.9353322,0.00041897528,0.000493369,0.00019486836,0.0034630483,0.00068860163,0.026858361],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954295,0.0000603443,0.000026913285,0.00010269612,0.00025071652,0.000016364585],"domain_scores_gemma":[0.9992543,0.00040788055,0.000025122046,0.000118751756,0.00017649333,0.000017419085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068889785,0.00068112824,0.0006524638,0.0010169859,0.00020363014,0.0009727519,0.0018060749,0.0006509974,0.005807166],"category_scores_gemma":[0.002173375,0.00032684373,0.0005592656,0.00280601,0.0005282288,0.001581985,0.0006900905,0.0018455285,0.004689991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009190627,0.00006920381,0.0003971845,0.00031790795,0.000070254406,0.00008167892,0.000057135658,0.052034337,0.008679345,0.054389846,0.06856437,0.81524694],"study_design_scores_gemma":[0.000017197086,0.000061130464,0.0010612695,0.000080707454,0.000035673205,0.00019493737,0.000021396954,0.72129667,0.012787104,0.1354591,0.12893395,0.00005085371],"about_ca_topic_score_codex":0.0012865113,"about_ca_topic_score_gemma":0.0015944146,"teacher_disagreement_score":0.005807166,"about_ca_system_score_codex":0.0004223855,"about_ca_system_score_gemma":0.00047979644,"threshold_uncertainty_score":0.019426882},"labels":[],"label_agreement":null},{"id":"W3199953509","doi":"10.1007/978-3-030-79161-2_17","title":"New Insights on Implementing and Evaluating Artificial Intelligence in Cardiovascular Care","year":2021,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Machine Learning in Healthcare","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":"Libin Cardiovascular Institute of Alberta; University of Calgary; Circle Cardiovascular Imaging","funders":"","keywords":"Artificial intelligence; Health care; Computer science; Domain (mathematical analysis); Function (biology); Data science; Knowledge management; Mathematics","score_opus":0.09297962537596018,"score_gpt":0.32139705526965856,"score_spread":0.2284174298936984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199953509","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":[0.015061002,0.094894886,0.24289446,0.065218896,0.002585597,0.0001962543,0.00041050004,0.0012634322,0.577475],"genre_scores_gemma":[0.33347508,0.09038936,0.42360377,0.008670157,0.0037249548,0.00035054988,0.00085724064,0.0007213508,0.1382075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99632937,0.0016816183,0.00019533314,0.00020138883,0.0014449335,0.00014726027],"domain_scores_gemma":[0.9850804,0.012059832,0.0003843994,0.00073630403,0.0014645878,0.00027443544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006825368,0.0008018379,0.00074372586,0.001729114,0.0004538108,0.010930752,0.0018044327,0.0023085151,0.009982952],"category_scores_gemma":[0.024052534,0.00040316317,0.00036796893,0.0025441586,0.0027240627,0.011329553,0.0012013654,0.0027462142,0.0019584834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048214595,0.00012511319,0.0016170181,0.0003939571,0.00003651033,0.00009529818,0.00064859324,0.0075236815,0.00072283664,0.4965107,0.051078577,0.44119954],"study_design_scores_gemma":[0.000026779115,0.00014274711,0.0034946974,0.001378012,0.00006427989,0.00021582001,0.001201402,0.039166175,0.0017528732,0.75673604,0.19575629,0.00006499687],"about_ca_topic_score_codex":0.005232476,"about_ca_topic_score_gemma":0.008669414,"teacher_disagreement_score":0.010930752,"about_ca_system_score_codex":0.0028787914,"about_ca_system_score_gemma":0.0025268449,"threshold_uncertainty_score":0.036096454},"labels":[],"label_agreement":null},{"id":"W3214890603","doi":"10.1007/978-3-030-83620-7_17","title":"Biometric System De-identification: Concepts, Applications, and Open Problems","year":2021,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"User Authentication and Security Systems","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 Calgary","funders":"","keywords":"Biometrics; Identification (biology); Computer science; Data science; Authentication (law); Analytics; Modal; Field (mathematics); Computer security","score_opus":0.05948606419967924,"score_gpt":0.28148076678891515,"score_spread":0.22199470258923593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214890603","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038937218,0.35672286,0.44115597,0.005571199,0.0035009142,0.000091904636,0.00032539858,0.0010748932,0.18766314],"genre_scores_gemma":[0.07109001,0.36495614,0.23398319,0.0020866743,0.0050477055,0.00022532235,0.0009854166,0.0005946119,0.3210309],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857736,0.0002837025,0.00009812728,0.00028025077,0.00068831677,0.00007228066],"domain_scores_gemma":[0.9985858,0.0007280804,0.00006710199,0.0002791355,0.00030699492,0.000032893324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016719407,0.0012317084,0.0014273395,0.0021288544,0.00079170655,0.0056703193,0.0024839682,0.0022386995,0.014846594],"category_scores_gemma":[0.0027655582,0.0008339547,0.00060336996,0.004901415,0.002590988,0.007823417,0.0017652737,0.003743562,0.012747619],"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":[0.000035519726,0.000069634836,0.00031776505,0.00093221036,0.000023421038,0.00013056233,0.00027204896,0.0017584839,0.0031973121,0.25968283,0.06478343,0.6687968],"study_design_scores_gemma":[0.000008582093,0.00007681726,0.0009651809,0.0010128111,0.00003156199,0.0022763156,0.0002926742,0.020711018,0.0046846787,0.2562738,0.71359164,0.00007489823],"about_ca_topic_score_codex":0.00065527466,"about_ca_topic_score_gemma":0.0007262276,"teacher_disagreement_score":0.014846594,"about_ca_system_score_codex":0.0011480997,"about_ca_system_score_gemma":0.0008713096,"threshold_uncertainty_score":0.049666822},"labels":[],"label_agreement":null},{"id":"W34302303","doi":"10.1007/978-3-642-39149-1_1","title":"Introducing Theories and Simulations of Complex Social Systems","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Complex Systems and Decision Making","field":"Decision Sciences","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":"Complex system; Complex network; Computer science; Social system; Distribution (mathematics); Data science; Distributed computing; Management science; Engineering; Artificial intelligence; Mathematics; World Wide Web","score_opus":0.2156876785108538,"score_gpt":0.36300047489897996,"score_spread":0.14731279638812617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W34302303","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032626376,0.033356186,0.60534054,0.011349089,0.0018237568,0.000118483054,0.00043262864,0.0011326394,0.3431841],"genre_scores_gemma":[0.18277854,0.07905689,0.496893,0.0033307944,0.0029179393,0.0010224738,0.0012798109,0.0008895911,0.23183103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994504,0.00024059624,0.00002687276,0.000059784255,0.00019192141,0.000030359633],"domain_scores_gemma":[0.99829596,0.0013818305,0.00005164845,0.000111950205,0.000109212844,0.000049393027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010537093,0.0011537535,0.0006823712,0.0011897751,0.0006850087,0.0033899588,0.0020562704,0.0017338085,0.014522444],"category_scores_gemma":[0.0037928103,0.0006569345,0.00076108094,0.001830906,0.003558001,0.0045024985,0.0014591424,0.0039047103,0.0029768592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017349735,0.000010533473,0.000041913034,0.000092679315,0.000005766761,0.0000144343685,0.00013539502,0.006843662,0.00007028597,0.9677374,0.008362474,0.016683837],"study_design_scores_gemma":[0.0000029774187,0.0000038189855,0.000028284088,0.00008522528,0.0000031483278,0.000019422025,0.00004786248,0.010994222,0.00007130386,0.90871745,0.08002022,0.0000061125593],"about_ca_topic_score_codex":0.0033052266,"about_ca_topic_score_gemma":0.0040726494,"teacher_disagreement_score":0.014522444,"about_ca_system_score_codex":0.0015492832,"about_ca_system_score_gemma":0.0018606944,"threshold_uncertainty_score":0.048582375},"labels":[],"label_agreement":null},{"id":"W346289610","doi":"10.1007/978-3-319-15916-4_7","title":"Bio-inspired Routing Strategies for Wireless Sensor Networks","year":2015,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Distributed Control Multi-Agent Systems","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 Alberta","funders":"","keywords":"Computer science; Swarm intelligence; Wireless sensor network; Distributed computing; Swarm behaviour; Variety (cybernetics); Routing (electronic design automation); Simple (philosophy); Wireless ad hoc network; Wireless; Artificial intelligence; Computer network; Data science; Human–computer interaction; Telecommunications; Machine learning","score_opus":0.07655066415417264,"score_gpt":0.26317135233441635,"score_spread":0.18662068818024372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W346289610","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010668965,0.056975387,0.8284925,0.0015052189,0.001633441,0.00006659777,0.00012440808,0.000655323,0.099878095],"genre_scores_gemma":[0.36776522,0.07517257,0.4066161,0.0010906513,0.0010565607,0.00033783223,0.0004411061,0.0003811553,0.14713871],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993277,0.000012943488,0.0000037909115,0.000010783669,0.000034788405,0.000004867947],"domain_scores_gemma":[0.99995375,0.000019947794,0.0000057692423,0.000006619871,0.000010843752,0.0000031187203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013602687,0.0006333382,0.0003497012,0.00034738422,0.00019054227,0.00063948904,0.00085386826,0.0006258034,0.0026125743],"category_scores_gemma":[0.000309366,0.000224953,0.00024192334,0.0005410541,0.00040170443,0.0007701236,0.00044513462,0.0006801086,0.0008972398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032215234,0.00005962746,0.00010249995,0.00060439145,0.000059024347,0.00007968504,0.00011708531,0.22511509,0.023482695,0.28910068,0.020354781,0.44089234],"study_design_scores_gemma":[0.000018201974,0.000081524166,0.00023067837,0.00018422795,0.000033243658,0.00023340412,0.000058622358,0.5957519,0.006599471,0.25510693,0.1416665,0.000035320292],"about_ca_topic_score_codex":0.00035591333,"about_ca_topic_score_gemma":0.0005499455,"teacher_disagreement_score":0.0026125743,"about_ca_system_score_codex":0.0003555823,"about_ca_system_score_gemma":0.00019333424,"threshold_uncertainty_score":0.008739889},"labels":[],"label_agreement":null},{"id":"W4210935151","doi":"10.1007/978-3-030-91390-8_8","title":"Embedding Time-Series Features into Generative Adversarial Networks for Intrusion Detection in Internet of Things Networks","year":2022,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Anomaly Detection Techniques and Applications","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 Windsor","funders":"","keywords":"Embedding; Computer science; Series (stratigraphy); Intrusion detection system; Adversarial system; Internet of Things; Generative grammar; Artificial intelligence; Theoretical computer science; Machine learning; Computer security; Geology","score_opus":0.01548838225510648,"score_gpt":0.23688132279605773,"score_spread":0.22139294054095124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210935151","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013634844,0.0007695125,0.98334724,0.00018852831,0.00009325427,0.000014021536,0.00006244165,0.00057213375,0.0013179453],"genre_scores_gemma":[0.7644867,0.0021544618,0.21938325,0.00022276519,0.00022784251,0.000086709326,0.0005847271,0.00030546405,0.012548117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997843,0.00006301447,0.000010775684,0.000051803552,0.00007029698,0.00001983126],"domain_scores_gemma":[0.99909496,0.00068616075,0.000054607695,0.000072552924,0.00007812939,0.000013654775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056933047,0.0006851935,0.00053859485,0.00036702788,0.00014094127,0.0005066526,0.00076952536,0.0006675788,0.0015620057],"category_scores_gemma":[0.002106965,0.0003481833,0.0006708826,0.000530984,0.0004247716,0.0009451524,0.0009091414,0.0015820874,0.0004917547],"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":[0.000039526207,0.000033697088,0.00038972776,0.000051498675,0.00005324461,0.00004942317,0.00003839563,0.86818427,0.0030815103,0.012151023,0.001533561,0.11439419],"study_design_scores_gemma":[4.859571e-7,0.00000731157,0.000052672534,0.000002245235,0.0000033400474,0.0000106111775,0.0000012710451,0.9961415,0.0004274472,0.0031684807,0.00018269569,0.0000018693847],"about_ca_topic_score_codex":0.0011122905,"about_ca_topic_score_gemma":0.001548809,"teacher_disagreement_score":0.0015620057,"about_ca_system_score_codex":0.00042368638,"about_ca_system_score_gemma":0.00020319474,"threshold_uncertainty_score":0.00522542},"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":"W4235623921","doi":"10.1007/978-3-319-67024-9_12","title":"Cultural Neuroscience","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Cultural Differences and Values","field":"Psychology","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":"Cultural neuroscience; Social neuroscience; Cognitive neuroscience; Psychology; Cognitive science; Perception; Cultural psychology; Cognition; Variety (cybernetics); Field (mathematics); Neuroimaging; Educational neuroscience; Cultural analysis; Social cognition; Neuroscience; Sociology; Social psychology; Social science; Computer science; Political science","score_opus":0.2546583050787763,"score_gpt":0.37773487292732016,"score_spread":0.12307656784854387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235623921","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":[0.0007869046,0.025535893,0.0018588731,0.0100886645,0.001730959,0.000008889699,0.00007226705,0.000054163993,0.95986336],"genre_scores_gemma":[0.04361556,0.040158913,0.0016966852,0.0059254114,0.0016624647,0.000057311256,0.00019685882,0.00013078518,0.90655607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99978894,0.00006795001,0.000005990254,0.000036737263,0.000072977906,0.000027531109],"domain_scores_gemma":[0.99974805,0.000075459815,0.000011746034,0.000044966862,0.00007044564,0.00004926324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041510837,0.0005975221,0.00028598544,0.0010998495,0.0020004925,0.0046101604,0.0006720863,0.0014379176,0.04358711],"category_scores_gemma":[0.0010459981,0.00017039721,0.00018002269,0.0011422923,0.004253171,0.0035493458,0.0018753445,0.0025737237,0.011834068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007885956,0.000014692329,0.000102495214,0.000108728316,0.0000045119746,0.00005683431,0.0016988624,0.000080352955,0.00015370017,0.65281725,0.23110622,0.11384853],"study_design_scores_gemma":[0.0000013734099,0.0000022949325,0.00019888849,0.00015552997,0.0000020427365,0.00007565265,0.0006880371,0.00004292864,0.00007060296,0.12759697,0.8711622,0.0000034851198],"about_ca_topic_score_codex":0.0067049363,"about_ca_topic_score_gemma":0.012790874,"teacher_disagreement_score":0.04358711,"about_ca_system_score_codex":0.003002798,"about_ca_system_score_gemma":0.0025961811,"threshold_uncertainty_score":0.14581347},"labels":[],"label_agreement":null},{"id":"W4241865340","doi":"10.1007/978-3-030-52800-3_3","title":"Interval Calculus","year":2020,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Rough Sets and Fuzzy Logic","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":"Rotation formalisms in three dimensions; Granularity; Interval (graph theory); Calculus (dental); Mathematics; Computer science; Granular computing; Interval arithmetic; Fuzzy logic; Algebra over a field; Discrete mathematics; Algorithm; Pure mathematics; Artificial intelligence; Combinatorics; Rough set; Programming language; Mathematical analysis","score_opus":0.06240119679679893,"score_gpt":0.234940869337513,"score_spread":0.17253967254071406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241865340","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":[0.001989389,0.016455533,0.24498783,0.001843091,0.0016268238,0.00005022033,0.00047668765,0.00050947664,0.732061],"genre_scores_gemma":[0.15607087,0.024215883,0.12894611,0.0015634332,0.0038502566,0.0002334103,0.001204358,0.0005981812,0.6833175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995653,0.000082478866,0.000023517396,0.0000915172,0.00020784642,0.000029402718],"domain_scores_gemma":[0.9997557,0.00008783076,0.000014570646,0.00004760403,0.00008146657,0.000012873876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048241566,0.00077536074,0.00078430196,0.0012214001,0.0008490119,0.0030515536,0.0008821646,0.0006458742,0.03452116],"category_scores_gemma":[0.0013476952,0.00030920442,0.00059805886,0.001740432,0.0012374882,0.002876731,0.00088694214,0.002294316,0.010241398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053453214,0.000007663139,0.00001689737,0.000051052357,0.0000041469248,0.000017563247,0.000069761,0.00037984995,0.00019481024,0.9527256,0.015379012,0.031148298],"study_design_scores_gemma":[0.000005067628,0.000007616688,0.00007366569,0.000043190426,0.000010066405,0.00006823561,0.00003625031,0.0021077646,0.00024019992,0.81842005,0.17898102,0.000006912438],"about_ca_topic_score_codex":0.0011655755,"about_ca_topic_score_gemma":0.0008408805,"teacher_disagreement_score":0.03452116,"about_ca_system_score_codex":0.0010259047,"about_ca_system_score_gemma":0.0005926594,"threshold_uncertainty_score":0.115484774},"labels":[],"label_agreement":null},{"id":"W4248457798","doi":"10.1007/978-3-662-56291-8_5","title":"Simulation Results","year":2017,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","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; Medicine; Section (typography); Simulation; Operating system","score_opus":0.241728896212874,"score_gpt":0.4345564992011388,"score_spread":0.19282760298826482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248457798","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":[0.30381176,0.0012662088,0.1802101,0.0024820631,0.0014082404,0.00055041665,0.028531872,0.0044850847,0.4772543],"genre_scores_gemma":[0.91713077,0.00041814728,0.03189545,0.0005154451,0.00010179369,0.00044539318,0.013514487,0.0007262158,0.035252433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925154,0.00025941682,0.000036085574,0.00011834702,0.00021881677,0.00011579254],"domain_scores_gemma":[0.99661785,0.0019361853,0.00010726985,0.0003487416,0.00091017253,0.00007973664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009054698,0.00072891265,0.00068956125,0.0010987718,0.00058987434,0.0011904899,0.0010628449,0.0013466239,0.042672995],"category_scores_gemma":[0.006850422,0.00023781117,0.00092720205,0.0010583163,0.0003662563,0.0007287029,0.0004500695,0.000705384,0.0057466766],"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":[0.00023300035,0.00022713802,0.0013657081,0.00016787366,0.000042526503,0.00007339951,0.000036911813,0.95489216,0.0007064257,0.008370944,0.017428411,0.016455466],"study_design_scores_gemma":[0.000109612796,0.0001180681,0.00093191094,0.000062877654,0.000031279083,0.00006491538,0.00009133373,0.9751398,0.0033070701,0.0067062243,0.013410461,0.00002648641],"about_ca_topic_score_codex":0.014374645,"about_ca_topic_score_gemma":0.008617425,"teacher_disagreement_score":0.042672995,"about_ca_system_score_codex":0.0008432387,"about_ca_system_score_gemma":0.0011374495,"threshold_uncertainty_score":0.14275539},"labels":[],"label_agreement":null},{"id":"W4299433763","doi":"10.1007/978-3-319-49879-9","title":"Recent Advances in Technologies for Inclusive Well-Being","year":2017,"lang":"en","type":"book","venue":"Intelligent systems reference library","topic":"Innovative Human-Technology Interaction","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":"Ontario Tech University","funders":"Academy of Finland","keywords":"Computer science","score_opus":0.031568124460729534,"score_gpt":0.30355158147591865,"score_spread":0.2719834570151891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299433763","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":[0.0009671084,0.49351656,0.0061522624,0.008207383,0.0049011977,0.00004010206,0.00010205372,0.00033285609,0.48578048],"genre_scores_gemma":[0.017033529,0.64307356,0.009132145,0.0049123527,0.0064927153,0.00014514512,0.00033879105,0.0002630938,0.3186087],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993112,0.0001362064,0.000037237754,0.00007256378,0.00038123783,0.00006154791],"domain_scores_gemma":[0.9991817,0.0005091038,0.000039314407,0.000060407114,0.00013415447,0.00007530258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008446384,0.0008278622,0.0007069396,0.0023620932,0.0011275907,0.0075646904,0.0011002064,0.0014192543,0.053904336],"category_scores_gemma":[0.002070466,0.00024449982,0.00048462523,0.0053382763,0.001530565,0.006702266,0.0031525914,0.0023630508,0.01851823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026145904,0.000054035376,0.00012078254,0.0016475577,0.000013574177,0.00013132168,0.000780395,0.00020028425,0.00045332668,0.12484986,0.19472153,0.67700106],"study_design_scores_gemma":[0.0000022993245,0.0000100728585,0.00019393893,0.00044473025,0.000005369732,0.00020882826,0.00024893205,0.00007656756,0.00011166095,0.023035757,0.97565526,0.0000066265557],"about_ca_topic_score_codex":0.0008153656,"about_ca_topic_score_gemma":0.0020509104,"teacher_disagreement_score":0.053904336,"about_ca_system_score_codex":0.0014563202,"about_ca_system_score_gemma":0.0015842302,"threshold_uncertainty_score":0.18032795},"labels":[],"label_agreement":null},{"id":"W4319318918","doi":"10.1007/978-3-031-22371-6_9","title":"Neural Networks Based Throughput Estimation of Short Production Lines Without Intermediate Buffers","year":2023,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Scheduling and Optimization Algorithms","field":"Engineering","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":"Throughput; Artificial neural network; Workstation; Computer science; Production (economics); Production line; Range (aeronautics); Function (biology); Artificial intelligence; Machine learning; Line (geometry); Data mining; Engineering; Mathematics; Telecommunications","score_opus":0.04039412312704101,"score_gpt":0.24518160829206773,"score_spread":0.2047874851650267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319318918","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1269471,0.0008367232,0.86543894,0.00017577937,0.00007647441,0.000038672788,0.00026661053,0.0013029065,0.004916827],"genre_scores_gemma":[0.9385812,0.00039493624,0.053953554,0.000039482155,0.000054182037,0.000051610907,0.0002927065,0.00007469139,0.006557763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981934,0.00003538754,0.000009763505,0.000054267803,0.000051774598,0.000029501485],"domain_scores_gemma":[0.9993943,0.00037612036,0.00006671318,0.000024916251,0.00012340327,0.000014540938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043671517,0.00066059944,0.0005493001,0.0005635698,0.00023114827,0.00073214323,0.0007468937,0.00047480038,0.0017231102],"category_scores_gemma":[0.0012118507,0.0003875846,0.00030811943,0.00071181246,0.00020223027,0.0007845,0.0002490394,0.000525409,0.00034668995],"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":[0.0001614047,0.000039545364,0.00074049516,0.000033374265,0.00002116495,0.000027963297,0.000015722126,0.9158633,0.003617379,0.0007015335,0.0006994119,0.078078665],"study_design_scores_gemma":[8.021042e-7,0.0000067402675,0.00016451176,0.000001453953,0.0000023415462,0.0000017674579,0.0000014477764,0.99905413,0.0005399907,0.00018352542,0.000042041185,0.0000012747506],"about_ca_topic_score_codex":0.011342176,"about_ca_topic_score_gemma":0.010071885,"teacher_disagreement_score":0.011342176,"about_ca_system_score_codex":0.0010545342,"about_ca_system_score_gemma":0.0004586868,"threshold_uncertainty_score":0.022552311},"labels":[],"label_agreement":null},{"id":"W434001412","doi":"10.1007/978-3-642-01799-5_22","title":"Collaborative and Experience-Consistent Schemes of System Modelling in Computational Intelligence","year":2009,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Rough Sets and Fuzzy Logic","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; Suite; Computational intelligence; Context (archaeology); Data science; Intelligent decision support system; Granular computing; Key (lock); Knowledge management; Artificial intelligence","score_opus":0.0466083986966843,"score_gpt":0.24479819653816537,"score_spread":0.19818979784148105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W434001412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018870751,0.00019632911,0.9937681,0.00025521647,0.000025896037,0.000026419862,0.000033418994,0.000098516015,0.0037091216],"genre_scores_gemma":[0.24734926,0.0006383763,0.7442533,0.00013956742,0.00012619501,0.0003214853,0.00022255091,0.00012527614,0.0068240655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963301,0.0018333467,0.00030482258,0.0004795971,0.00090681534,0.00014534485],"domain_scores_gemma":[0.9927396,0.0038543344,0.00023514517,0.0025961723,0.00044638544,0.00012833436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005313359,0.00082556036,0.0015251769,0.00093107735,0.00094348704,0.0029941865,0.004038983,0.0019081224,0.0056506307],"category_scores_gemma":[0.012835845,0.00085558224,0.00223165,0.0019430325,0.0038061175,0.009226778,0.0034455569,0.004159399,0.0008984374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014374648,0.000014610571,0.00007714346,0.00005032686,0.000017971037,0.000025825484,0.00026109317,0.02491042,0.00013123921,0.95366186,0.0007437998,0.02009125],"study_design_scores_gemma":[0.000009894524,0.000020690079,0.000054305565,0.000017407947,0.000016704105,0.000029680506,0.00004169439,0.14302136,0.00029452814,0.853403,0.0030802945,0.000010479924],"about_ca_topic_score_codex":0.0021257761,"about_ca_topic_score_gemma":0.0018616316,"teacher_disagreement_score":0.0056506307,"about_ca_system_score_codex":0.0015373834,"about_ca_system_score_gemma":0.0012983729,"threshold_uncertainty_score":0.028100014},"labels":[],"label_agreement":null},{"id":"W4402636614","doi":"10.1007/978-3-031-65430-5_3","title":"Telehealth: A Game Changer in Global Health Professions Education and Patient Care","year":2024,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","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":"Telehealth; Health care; Nursing; Telemedicine; Medicine; Psychology; Medical education; Political science","score_opus":0.05261387280941167,"score_gpt":0.3653552673303309,"score_spread":0.31274139452091926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402636614","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":[0.0023340853,0.017265268,0.05604714,0.025462335,0.006706423,0.00014052755,0.00039005623,0.0030525355,0.8886017],"genre_scores_gemma":[0.013163508,0.0074423915,0.020241762,0.006079892,0.0012916476,0.0001438443,0.00036090132,0.0009646842,0.9503114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995808,0.00013306917,0.000014483594,0.000042063668,0.0001855423,0.00004400317],"domain_scores_gemma":[0.99951816,0.00024243751,0.0000138110045,0.000038583978,0.00007989992,0.000107102314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008946207,0.00088603655,0.0003146059,0.0013482234,0.0012123765,0.0057217143,0.0012971313,0.0026115072,0.08141038],"category_scores_gemma":[0.0011708545,0.00030835922,0.00039145153,0.0014776284,0.0012669204,0.0057617077,0.002427078,0.0026392469,0.016166095],"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":[0.000022310818,0.00006256449,0.000098987475,0.00012402308,0.000004013771,0.00007431091,0.0007425962,0.0002849124,0.0005335309,0.099099234,0.66333085,0.23562264],"study_design_scores_gemma":[0.000005963951,0.000024652982,0.00018890122,0.000119136115,0.0000027106214,0.00011138765,0.00038878867,0.00061697175,0.0002841455,0.013069641,0.9851804,0.000007445581],"about_ca_topic_score_codex":0.0030430125,"about_ca_topic_score_gemma":0.008685082,"teacher_disagreement_score":0.08141038,"about_ca_system_score_codex":0.0019909143,"about_ca_system_score_gemma":0.0014580847,"threshold_uncertainty_score":0.27234483},"labels":[],"label_agreement":null},{"id":"W47087801","doi":"10.1007/978-3-642-39149-1_7","title":"Celerity in the Courts: The Application of Fuzzy Logic to Model Case Complexity of Criminal Justice Systems","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Artificial Intelligence in Law","field":"Social Sciences","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":"Simon Fraser University","funders":"","keywords":"Fuzzy logic; Criminal justice; Computer science; A priori and a posteriori; Economic Justice; Artificial intelligence; Management science; Law; Engineering; Political science; Epistemology","score_opus":0.26635842600445786,"score_gpt":0.3635656546237651,"score_spread":0.09720722861930725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W47087801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16971543,0.0063736932,0.6946052,0.010050601,0.00025997573,0.00012275312,0.00038965055,0.00018489637,0.11829779],"genre_scores_gemma":[0.91936684,0.0017324269,0.0693759,0.00023178964,0.00029139718,0.00008224253,0.00016162184,0.00005405219,0.008703616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991967,0.00032473504,0.000037511487,0.00008992885,0.00027888574,0.000072225754],"domain_scores_gemma":[0.99585044,0.0033284007,0.00023428308,0.00019256094,0.00025347556,0.00014093301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001700422,0.00045126333,0.00078594446,0.0019721997,0.0009670302,0.0039845817,0.0016321703,0.001374529,0.0038232212],"category_scores_gemma":[0.010349581,0.00041006418,0.0010793185,0.001852316,0.0023805809,0.005033842,0.001431858,0.002815795,0.00021291334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024054632,0.000056228288,0.0016304592,0.000053523094,0.000039568484,0.000092804556,0.00061451696,0.18043213,0.00031270413,0.7845501,0.0021855305,0.0300084],"study_design_scores_gemma":[0.0000032622918,0.000008442976,0.0005278883,0.000023194758,0.0000071501145,0.000025898828,0.000094576906,0.46710664,0.00006508711,0.53071874,0.0014070029,0.0000121424255],"about_ca_topic_score_codex":0.013266121,"about_ca_topic_score_gemma":0.011884628,"teacher_disagreement_score":0.013266121,"about_ca_system_score_codex":0.0037067349,"about_ca_system_score_gemma":0.0018275029,"threshold_uncertainty_score":0.02689439},"labels":[],"label_agreement":null},{"id":"W53431417","doi":"10.1007/978-3-642-30344-9_20","title":"How Near Are Zdzisław Pawlak’s Paintings?","year":2012,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Image Retrieval and Classification Techniques","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 Manitoba","funders":"","keywords":"Painting; Art; Mathematics; Artificial intelligence; Computer science; Art history","score_opus":0.056872253760119874,"score_gpt":0.23244102530672364,"score_spread":0.17556877154660377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W53431417","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":[0.039621864,0.11694811,0.015330047,0.06350356,0.010909274,0.000056841272,0.001102983,0.00070299173,0.75182426],"genre_scores_gemma":[0.30725884,0.09281249,0.02136549,0.010763908,0.0029627916,0.00006720353,0.001417941,0.001162533,0.56218874],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995628,0.00008987689,0.00002023952,0.00010833276,0.00016471563,0.00005410135],"domain_scores_gemma":[0.99964345,0.00008441572,0.00004239442,0.000048166745,0.00012214536,0.000059425376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005984403,0.00040300837,0.0004433708,0.0021677404,0.0027734532,0.006817789,0.0005169959,0.0010052267,0.029430553],"category_scores_gemma":[0.0030726737,0.00036509003,0.00037068562,0.0022745198,0.002187835,0.008362454,0.0012839822,0.0018804962,0.009324207],"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":[0.00014557816,0.000054680542,0.0031915968,0.0005818286,0.000084890125,0.0005533964,0.009663687,0.0005131374,0.0018115795,0.21591635,0.30604658,0.46143675],"study_design_scores_gemma":[0.000003903421,0.000011602341,0.003224573,0.0002944106,0.000019703148,0.001081813,0.0043909554,0.000115843366,0.00029989827,0.019430334,0.9711013,0.000025531714],"about_ca_topic_score_codex":0.007328306,"about_ca_topic_score_gemma":0.014672069,"teacher_disagreement_score":0.029430553,"about_ca_system_score_codex":0.0012149955,"about_ca_system_score_gemma":0.00085331727,"threshold_uncertainty_score":0.09845495},"labels":[],"label_agreement":null},{"id":"W64027530","doi":"10.1007/978-3-642-36657-4_1","title":"Deep Learning of Representations","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Domain Adaptation and Few-Shot Learning","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":"Université de Montréal","funders":"","keywords":"Artificial intelligence; Computer science; Initialization; Deep learning; Machine learning; Hierarchy; Representation (politics); Unsupervised learning; Feature learning; Generative grammar; Generative model; Task (project management); Engineering","score_opus":0.05009056090314877,"score_gpt":0.255337457136969,"score_spread":0.2052468962338202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W64027530","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036200928,0.009163055,0.9594305,0.0012617711,0.00040827558,0.000029329922,0.00056199206,0.0016769848,0.023848033],"genre_scores_gemma":[0.21762784,0.021390805,0.58584857,0.0010295016,0.00075458636,0.00022340922,0.0066791787,0.0012369509,0.16520922],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997688,0.000040884024,0.000011389912,0.00008516819,0.00007391797,0.000019808684],"domain_scores_gemma":[0.9997274,0.00009440067,0.000013818692,0.000091817674,0.000057373378,0.000015164407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004253985,0.0008033859,0.00060967065,0.00061809423,0.00025074533,0.0013495989,0.0012741382,0.00091311213,0.009554281],"category_scores_gemma":[0.0014755384,0.00052317994,0.00060193206,0.0010232243,0.00064458774,0.0023283227,0.0013070599,0.0025151812,0.0047222357],"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":[0.000037577378,0.000049663486,0.0001879654,0.0002474548,0.000057845733,0.000027352911,0.000054095224,0.059165336,0.004082574,0.12912287,0.04718217,0.7597852],"study_design_scores_gemma":[0.000011126017,0.000044236764,0.0004419007,0.00017791393,0.000036873567,0.00010766118,0.00003426891,0.5520855,0.009272671,0.34353483,0.09421865,0.00003426832],"about_ca_topic_score_codex":0.0027051123,"about_ca_topic_score_gemma":0.0044203675,"teacher_disagreement_score":0.009554281,"about_ca_system_score_codex":0.00091012806,"about_ca_system_score_gemma":0.0006633954,"threshold_uncertainty_score":0.031962216},"labels":[],"label_agreement":null},{"id":"W65438367","doi":"10.1007/978-3-642-39149-1_6","title":"High-Level Simulation Model of a Criminal Justice System","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Crime Patterns and Interventions","field":"Social Sciences","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":"Simon Fraser University","funders":"","keywords":"Criminal justice; Economic Justice; Process (computing); Theory of criminal justice; Computer science; Minor (academic); System dynamics; Criminology; Political science; Law; Sociology; Artificial intelligence","score_opus":0.24815957776708,"score_gpt":0.3456417027360738,"score_spread":0.0974821249689938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W65438367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19553392,0.0010128747,0.6240543,0.0036425588,0.000253382,0.00028350548,0.0039047173,0.0024509944,0.1688637],"genre_scores_gemma":[0.9174062,0.0006463073,0.035593353,0.0004692881,0.000085041094,0.00036951792,0.0013500687,0.0002473373,0.043832928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997954,0.00007887081,0.000011006114,0.00003216579,0.00004513828,0.000037488102],"domain_scores_gemma":[0.9995493,0.00027410235,0.00003089144,0.00002961158,0.000074823794,0.000041212337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003470082,0.00056623743,0.0008480642,0.0005375266,0.000883085,0.0017282137,0.0024733725,0.0022817,0.019263605],"category_scores_gemma":[0.001104927,0.00059918966,0.0008519499,0.000619771,0.0011308818,0.0012260765,0.001001722,0.0014335725,0.0016340712],"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":[0.000021312675,0.00002393291,0.00029184905,0.000018714756,0.000010913328,0.000058181464,0.00004876901,0.9840702,0.00021988573,0.013627013,0.0005086146,0.0011006356],"study_design_scores_gemma":[0.000011455806,0.0000069366383,0.00007439696,0.0000048293637,0.000004984927,0.0000075882062,0.000014300119,0.99555945,0.00006562458,0.0036193195,0.0006267595,0.000004285313],"about_ca_topic_score_codex":0.053624082,"about_ca_topic_score_gemma":0.025377017,"teacher_disagreement_score":0.053624082,"about_ca_system_score_codex":0.0015423277,"about_ca_system_score_gemma":0.0019507005,"threshold_uncertainty_score":0.10662395},"labels":[],"label_agreement":null},{"id":"W70589496","doi":"10.1007/978-3-642-39149-1_10","title":"Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Cognitive Science and Mapping","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":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fuzzy cognitive map; Domain (mathematical analysis); Fuzzy logic; Computer science; Obesity; Cognition; Joint (building); Knowledge transfer; Knowledge management; Psychology; Artificial intelligence; Medicine; Engineering; Fuzzy set; Mathematics; Psychiatry","score_opus":0.037625324713614815,"score_gpt":0.22111567524841913,"score_spread":0.1834903505348043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70589496","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":[0.9714623,0.001412773,0.0076856823,0.0020659592,0.00013017487,0.00010534176,0.0055556856,0.000104900246,0.011477218],"genre_scores_gemma":[0.9755093,0.0010296102,0.0046160654,0.0001620039,0.00004243401,0.00009567688,0.0023359975,0.000040975297,0.01616794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994742,0.00012863165,0.000014342953,0.00008605986,0.00006099858,0.00023579175],"domain_scores_gemma":[0.99892944,0.00056456757,0.00006117371,0.000037908496,0.00025316127,0.00015373234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013275456,0.0009789192,0.0008510367,0.0007969353,0.0016477901,0.0016359222,0.0023095498,0.0013304404,0.0069363285],"category_scores_gemma":[0.003230732,0.0007354277,0.001393548,0.0014951171,0.0006472795,0.00055008184,0.0010368124,0.0015711039,0.00043712708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006147247,0.0006176311,0.37902465,0.00023629381,0.00089222036,0.0005279993,0.002624483,0.52074313,0.0010267864,0.036221363,0.016192017,0.041278638],"study_design_scores_gemma":[0.00014075421,0.00022402975,0.19805795,0.00018377956,0.0007668699,0.00008886743,0.00325127,0.7792783,0.00035117197,0.0068452465,0.010658974,0.00015289687],"about_ca_topic_score_codex":0.99236816,"about_ca_topic_score_gemma":0.9904108,"teacher_disagreement_score":0.016202088,"about_ca_system_score_codex":0.016202088,"about_ca_system_score_gemma":0.02846782,"threshold_uncertainty_score":0.11755496},"labels":[],"label_agreement":null},{"id":"W73842674","doi":"10.1007/978-3-642-36657-4_15","title":"Neural Networks in Bioinformatics","year":2013,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","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":"Artificial neural network; Computer science; Artificial intelligence; Generalization; Structural bioinformatics; Multidisciplinary approach; Machine learning; Data science; Bioinformatics; Biology; Mathematics; Protein structure","score_opus":0.018274311391564897,"score_gpt":0.22963298873070337,"score_spread":0.21135867733913846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W73842674","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":[0.002222705,0.37711108,0.2853843,0.014017542,0.007315722,0.000083528284,0.00050909014,0.0015565647,0.31179956],"genre_scores_gemma":[0.050649893,0.23497367,0.134004,0.0052966466,0.008615807,0.00033210331,0.0013058044,0.00089878857,0.5639233],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994862,0.00014030263,0.000027041344,0.000083342784,0.00023603262,0.000027070733],"domain_scores_gemma":[0.9993235,0.0004074543,0.000030143543,0.00007904951,0.00013198542,0.000027868487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000666292,0.00087305566,0.00084912224,0.0012457233,0.0004062552,0.0021043841,0.00086573185,0.0012744963,0.015063585],"category_scores_gemma":[0.0023528377,0.00045352688,0.00029729534,0.0022074443,0.0010214084,0.0027883295,0.0011276556,0.0022840796,0.009046215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020540649,0.00004784807,0.00017657307,0.00057570304,0.000038104172,0.000049358267,0.0000958637,0.010173526,0.00065112324,0.21842891,0.21309403,0.5566483],"study_design_scores_gemma":[0.0000075269245,0.000020759388,0.000334148,0.0004058255,0.00001787456,0.0001263955,0.000040350533,0.023803893,0.0007755379,0.334015,0.6404278,0.000024876983],"about_ca_topic_score_codex":0.0017009833,"about_ca_topic_score_gemma":0.0025356517,"teacher_disagreement_score":0.015063585,"about_ca_system_score_codex":0.0010393042,"about_ca_system_score_gemma":0.0007050678,"threshold_uncertainty_score":0.050392687},"labels":[],"label_agreement":null},{"id":"W804823476","doi":"10.1007/978-3-642-53845-2_10","title":"Shapes and Shape Set Patterns","year":2014,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Image Retrieval and Classification Techniques","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 Manitoba","funders":"","keywords":"Shape analysis (program analysis); Heat kernel signature; Artificial intelligence; Active shape model; Pattern recognition (psychology); Image (mathematics); Computer vision; Set (abstract data type); Feature (linguistics); Computer science; Digital image; Shape factor; Mathematics; Image processing; Geometry","score_opus":0.05207478379627114,"score_gpt":0.24940886155219277,"score_spread":0.19733407775592163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W804823476","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013427541,0.014065287,0.5113431,0.001733328,0.001494215,0.00018812846,0.001865227,0.0023542605,0.45352894],"genre_scores_gemma":[0.13257235,0.01972839,0.43954092,0.0010643211,0.0010390958,0.00045961462,0.005184555,0.0013671954,0.39904353],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960774,0.00002806581,0.000026472468,0.00011937933,0.00019475144,0.000023711173],"domain_scores_gemma":[0.9997199,0.000059626575,0.000021035456,0.00009913015,0.000078829755,0.000021399139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019963754,0.00087738596,0.0006721766,0.0025968454,0.00077243877,0.0034486644,0.0013158007,0.00076239347,0.024684323],"category_scores_gemma":[0.0012389431,0.00055152556,0.00067766977,0.003988073,0.0017367267,0.0038572098,0.0014939687,0.0016498665,0.0118291965],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002988801,0.000014893673,0.00026658637,0.00026572112,0.000013917161,0.00009308201,0.00021659279,0.0027771522,0.004201557,0.4168211,0.028639825,0.5466596],"study_design_scores_gemma":[0.000006614899,0.00003373558,0.0009427144,0.0001663156,0.000018319428,0.00097619434,0.00021460786,0.017640648,0.0047879578,0.61954224,0.35563442,0.00003619331],"about_ca_topic_score_codex":0.0013633929,"about_ca_topic_score_gemma":0.0014629025,"teacher_disagreement_score":0.024684323,"about_ca_system_score_codex":0.000739047,"about_ca_system_score_gemma":0.0004887317,"threshold_uncertainty_score":0.08257723},"labels":[],"label_agreement":null},{"id":"W812453981","doi":"10.1007/978-3-642-53845-2_5","title":"Edges, Lines, Ridges, and Nearness Structures","year":2014,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Digital Image Processing Techniques","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 Manitoba","funders":"","keywords":"Ridge; Watershed; Enhanced Data Rates for GSM Evolution; Geology; Geography; Geometry; Topology (electrical circuits); Computer science; Mathematics; Computer vision; Cartography; Combinatorics","score_opus":0.042645770104894974,"score_gpt":0.2449280137420972,"score_spread":0.2022822436372022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W812453981","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":[0.013856944,0.11834273,0.3027665,0.0010943591,0.0020162645,0.000083068815,0.0010462733,0.0030934091,0.55770046],"genre_scores_gemma":[0.116404586,0.094892465,0.24204215,0.0010888376,0.002274693,0.00012292652,0.002261039,0.0015254929,0.5393879],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983656,0.000011689488,0.0000077287705,0.000050704915,0.00008198516,0.000011225344],"domain_scores_gemma":[0.99982905,0.000061324405,0.000015600805,0.000034530232,0.00004457248,0.0000148927675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016157568,0.00086472894,0.0005319724,0.0017550939,0.00045623412,0.0027291884,0.0010099915,0.00084932416,0.018902652],"category_scores_gemma":[0.0006597755,0.0005006121,0.00045076245,0.002606359,0.0012526284,0.00303444,0.0006408072,0.0014523565,0.007864078],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049984403,0.000034099372,0.0004896937,0.00060798414,0.000016459575,0.00013205633,0.00034128997,0.0032473062,0.006273591,0.2186178,0.059717886,0.71047187],"study_design_scores_gemma":[0.000016107417,0.00007766277,0.0036139456,0.00060852646,0.000048975275,0.0020978171,0.0005067641,0.013989429,0.0036977662,0.34680533,0.6284696,0.00006805421],"about_ca_topic_score_codex":0.0009874814,"about_ca_topic_score_gemma":0.002049253,"teacher_disagreement_score":0.018902652,"about_ca_system_score_codex":0.00031853115,"about_ca_system_score_gemma":0.0002933239,"threshold_uncertainty_score":0.0632357},"labels":[],"label_agreement":null}]}