{"id":"W1635584642","doi":"10.1111/j.1365-2753.2006.00617.x","title":"Taking stock of evidence‐based medicine: opportunities for its continuing evolution","year":2006,"lang":"en","type":"article","venue":"Journal of Evaluation in Clinical Practice","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm; Evidence-based medicine; Criticism; Constructive; Constructive criticism; MEDLINE; Medicine; Psychology; Alternative medicine; Engineering ethics; Political science; Computer science; Social psychology; Law; Pathology; Engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1747911,0.0001604012,0.0007897017,0.0004176192,0.0002297687,0.00001390696,0.0002439521,0.0003928622,0.0004986722],"category_scores_gemma":[0.5527852,0.0001243866,0.0001845561,0.00037724,0.0001560709,0.002794017,0.00004362581,0.001781407,0.000009805795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006848666,"about_ca_system_score_gemma":0.003485826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005898281,"about_ca_topic_score_gemma":0.0002758604,"domain_scores_codex":[0.9675936,0.02260416,0.007047168,0.0002708969,0.002096253,0.0003879968],"domain_scores_gemma":[0.7924926,0.1751848,0.01838356,0.0003397625,0.01340683,0.0001923946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02438185,0.004285416,0.4752984,0.007121752,0.0004845421,0.0001409877,0.008154773,0.006726632,0.002623583,0.03882669,0.08030665,0.3516487],"study_design_scores_gemma":[0.01911276,0.005336917,0.7227222,0.02576665,0.002296915,0.00005561071,0.04884499,0.05841554,0.00006926389,0.01335842,0.1034327,0.0005880864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6393851,0.009207162,0.03679688,0.2952445,0.007913006,0.004423815,0.00001850647,0.00003829658,0.00697274],"genre_scores_gemma":[0.9843368,0.0004612449,0.008177852,0.004220944,0.002514361,0.00007399289,0.000005908917,0.00002418349,0.0001847398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.377994,"threshold_uncertainty_score":0.8497262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9527648763404958,"score_gpt":0.7309086565172747,"score_spread":0.2218562198232211,"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."}}