{"id":"W2044981882","doi":"10.1503/cmaj.109-4254","title":"Among medicine’s most enduring myths","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mythology; Plan (archaeology); Alternative medicine; Medicine; Medical education; Data science; Computer science; History; Pathology; Classics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01454261,0.0008156042,0.001204501,0.001762706,0.005687816,0.009005016,0.001739657,0.01208425,0.009056625],"category_scores_gemma":[0.04741043,0.0003621601,0.0008015889,0.001426664,0.02660365,0.01519289,0.00411161,0.02798501,0.002747315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004418662,"about_ca_system_score_gemma":0.005422058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097368,"about_ca_topic_score_gemma":0.002143701,"domain_scores_codex":[0.9909848,0.00413054,0.0004229518,0.0009151083,0.002826303,0.0007203261],"domain_scores_gemma":[0.9744226,0.0149885,0.001731181,0.001622997,0.004205099,0.003029741],"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":[0.00008702249,0.0000846584,0.0006075018,0.0004794716,0.00008132114,0.0003169304,0.004114774,0.0001596207,0.0002079942,0.1762146,0.7679445,0.04970157],"study_design_scores_gemma":[0.00003475589,0.00004569897,0.0004737228,0.001437076,0.00001824765,0.0007206824,0.004691039,0.0001264433,0.00009431473,0.1549341,0.8373749,0.00004895406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005803377,0.0352478,0.0005136366,0.9322582,0.02209654,0.00000687148,0.00004299794,0.00002389761,0.00922969],"genre_scores_gemma":[0.05042678,0.04351174,0.002578193,0.82697,0.06577172,0.00006450652,0.00006809823,0.00007477343,0.01053427],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01454261,"threshold_uncertainty_score":0.0769096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099681297395657,"score_gpt":0.2271984787162052,"score_spread":0.2162016657422486,"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."}}