{"id":"W4239596346","doi":"10.1136/ebm.5.3.70","title":"Ovid","year":2000,"lang":"en","type":"article","venue":"Evidence-Based Medicine","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000473379,0.0001246326,0.0002721981,0.00008424763,0.00006755728,0.000007305826,0.0001660019,0.00007691986,0.01155241],"category_scores_gemma":[0.0009922732,0.00009634456,0.00007671706,0.0001815094,0.0003321494,0.0001045535,0.000006693748,0.0002222705,0.0003872756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004111341,"about_ca_system_score_gemma":0.00000673863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007894714,"about_ca_topic_score_gemma":0.00002141254,"domain_scores_codex":[0.9986125,0.0001700422,0.0003805457,0.0002725786,0.0002758424,0.0002885178],"domain_scores_gemma":[0.9984884,0.0008978932,0.00005475847,0.0003029864,0.00005365006,0.0002023043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005040205,0.0002896286,0.02476777,0.000101617,0.00001428837,0.0000676694,0.0001485296,0.00006303732,0.003510092,0.00001715189,0.757398,0.208582],"study_design_scores_gemma":[0.007429146,0.005692062,0.07256444,0.003133734,0.000113666,0.00003496698,0.00005159016,0.0008906315,0.001615681,0.0007868129,0.9074771,0.0002101294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2814395,0.001026325,0.0001579501,0.7156785,0.0008143262,0.000163174,0.000002128739,0.0001374837,0.0005806534],"genre_scores_gemma":[0.7737563,0.0001419323,0.0003041595,0.2241897,0.001240578,0.00001298387,0.00001186031,0.00001315727,0.0003292677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4923168,"threshold_uncertainty_score":0.9893512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07287845820789204,"score_gpt":0.3596313607379824,"score_spread":0.2867529025300903,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}