{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"cf2878f2612a","filters":{"venue":"Joint International Conference on Information Sciences"}},"results":[{"id":"W90934856","doi":"","title":"Vitamin D Receptor Gene Polymorphism's Effect of bone Mineral Density: Analysis by Use of Belief Functions.","year":2002,"lang":"en","type":"article","venue":"Joint International Conference on Information Sciences","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bone mineral; Calcitriol receptor; Polymorphism (computer science); Gene; Vitamin; Chemistry; Internal medicine; Endocrinology; Genetics; Medicine; Osteoporosis; Biology; Biochemistry; Genotype","authors":[{"name":"Shih Cheng","is_ca":true},{"name":"Alyssa A. Goetzinger","is_ca":false},{"name":"John N. Mordeson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0722700722714545,"gpt":0.3258327118437087,"spread":0.2535626395722542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0261525,0.001133592,0.001344432,0.001367061,0.0006289,0.001324984,0.001766935,0.001602258,0.006762345],"category_scores_gemma":[0.09753226,0.0005077544,0.002992502,0.001181997,0.0013782,0.001088588,0.001262563,0.003525066,0.0005292938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007116697,"about_ca_system_score_gemma":0.000805535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008438841,"about_ca_topic_score_gemma":0.003077732,"domain_scores_codex":[0.9836865,0.01436962,0.0002261338,0.0007410063,0.0004899705,0.0004868809],"domain_scores_gemma":[0.6713042,0.3199012,0.00230378,0.004540484,0.0009138442,0.001036484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0360379,0.003472331,0.7718536,0.0002833848,0.009519826,0.0008477782,0.00276045,0.03783936,0.003400001,0.01226411,0.001816587,0.1199047],"study_design_scores_gemma":[0.001426731,0.009590356,0.4300348,0.0001169263,0.007726676,0.001256379,0.001691745,0.5292671,0.002440257,0.01476497,0.001525828,0.0001581633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788696,0.0004763761,0.01869713,0.0004322594,0.00003644773,0.00005964065,0.0004670339,0.00007221434,0.000889343],"genre_scores_gemma":[0.9949266,0.0001104806,0.003992994,0.00003445112,0.00001626526,0.00006673412,0.0002102234,0.00002017252,0.0006220885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0261525,"threshold_uncertainty_score":0.1383093,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2606351211","doi":"","title":"Fuzzy Weak Law of Large Numbers","year":2000,"lang":"en","type":"article","venue":"Joint International Conference on Information Sciences","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fuzzy logic; Computer science; Artificial intelligence; Law; Political science","authors":[{"name":"Shih Cheng","is_ca":true},{"name":"John N. Mordeson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08269369336862728,"gpt":0.3442849043372302,"spread":0.2615912109686029,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004986668,0.0007577622,0.0012174,0.002151873,0.00109098,0.004581132,0.0008172013,0.001607927,0.006220944],"category_scores_gemma":[0.02570823,0.0003886203,0.0006786456,0.001281953,0.005119854,0.006154016,0.00186152,0.004697309,0.0008150397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911685,"about_ca_system_score_gemma":0.0009529355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148237,"about_ca_topic_score_gemma":0.0007748499,"domain_scores_codex":[0.9983789,0.0005645519,0.0000682429,0.0002136716,0.0006523559,0.0001223905],"domain_scores_gemma":[0.9898015,0.006736274,0.0004608254,0.0007205618,0.001792896,0.0004878677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001893406,0.000005978169,0.0000958473,0.00004423643,0.00001195906,0.00003350263,0.00006885777,0.001633639,0.0002836806,0.9915171,0.001700849,0.004585421],"study_design_scores_gemma":[0.00001617413,0.000009889742,0.0001495389,0.00001906552,0.00000689948,0.00003936399,0.00002389332,0.01696735,0.0001418409,0.9783128,0.004304412,0.000008579967],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04834557,0.01043849,0.8026686,0.02361943,0.002475654,0.00006060373,0.0002683723,0.0002783986,0.1118449],"genre_scores_gemma":[0.8652509,0.009328489,0.06910522,0.002875366,0.003776833,0.0003610498,0.0002308889,0.0001811359,0.04889013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006220944,"threshold_uncertainty_score":0.02637237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}