{"id":"W2035330454","doi":"10.1136/ebm.11.1.7","title":"3rd International Conference of Evidence-Based Health Care Teachers &amp; Developers","year":2006,"lang":"en","type":"article","venue":"Evidence-Based Medicine","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Real world evidence; Health care; Medical education; Psychology; Medicine; Nursing; Political science; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04384409,0.00118181,0.0008858344,0.003351873,0.003197545,0.007802466,0.002548325,0.006620544,0.04094201],"category_scores_gemma":[0.02599135,0.0008859893,0.00129485,0.001188637,0.002265905,0.002853512,0.008300319,0.007169235,0.01116753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005642125,"about_ca_system_score_gemma":0.02177367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003392073,"about_ca_topic_score_gemma":0.009250931,"domain_scores_codex":[0.9810451,0.005322086,0.001694488,0.001506708,0.008257348,0.002174262],"domain_scores_gemma":[0.9594826,0.005122449,0.001874964,0.002066154,0.01780747,0.01364636],"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":[0.0001729658,0.0001591978,0.001321906,0.0005610887,0.00002580291,0.000495036,0.001188118,0.0002602301,0.001174229,0.005772339,0.8353337,0.1535355],"study_design_scores_gemma":[0.00001551485,0.00002757769,0.0009487849,0.0002560041,0.000005012972,0.0001119101,0.0002418677,0.0001035539,0.0002252385,0.0007923529,0.9972613,0.00001083638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01219489,0.07151232,0.03577575,0.4945877,0.1980244,0.002683864,0.001168314,0.000707762,0.183345],"genre_scores_gemma":[0.1072054,0.03385682,0.0570217,0.06194948,0.04446011,0.003340167,0.003002911,0.001020391,0.688143],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04384409,"threshold_uncertainty_score":0.2318725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5743253069909023,"score_gpt":0.5579384049207344,"score_spread":0.01638690207016791,"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."}}