{"id":"W2120875028","doi":"10.1111/j.1365-2753.2006.00720.x","title":"Evidence‐Based Medicine, Reasoned Medicine or both? Commentary on Jenicek, M. (2006) ‘The hard art of soft science’<i>Journal of Evaluation in Clinical Practice</i> 12, 410–419","year":2006,"lang":"en","type":"letter","venue":"Journal of Evaluation in Clinical Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"University of Toronto; Canada Research Chairs","keywords":"Citation; Psychology; Medicine; Medical education; Library science; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02091619,0.001370767,0.003200274,0.00201098,0.006386886,0.005715831,0.005757069,0.08598935,0.008325092],"category_scores_gemma":[0.09409311,0.001359734,0.002652751,0.00281929,0.008351015,0.009165161,0.003277597,0.07762241,0.009051581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01256474,"about_ca_system_score_gemma":0.0168348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04199389,"about_ca_topic_score_gemma":0.08539369,"domain_scores_codex":[0.9868016,0.004616862,0.001876499,0.001241844,0.004442555,0.001020648],"domain_scores_gemma":[0.9164925,0.0640337,0.002885965,0.001047251,0.01161584,0.00392477],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003590985,0.000005743697,0.00004752517,0.0001038977,0.000007241758,0.000107567,0.0001002938,0.00002012628,0.00002572919,0.002549134,0.9944728,0.00252405],"study_design_scores_gemma":[0.0001544253,0.00003506663,0.0006757645,0.001575424,0.00003928871,0.0005369125,0.0006458711,0.000208858,0.0001125054,0.01433795,0.9815996,0.0000782977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00004043874,0.00165095,0.00003166623,0.9882972,0.009239445,0.000004757199,0.00004759488,0.000007500358,0.000680386],"genre_scores_gemma":[0.0005047699,0.0006389762,0.0001211494,0.9868615,0.01052165,0.00002667865,0.00001737202,0.000008370444,0.001299614],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9790838,"threshold_uncertainty_score":0.1106167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5893485984085889,"score_gpt":0.6745117504080405,"score_spread":0.08516315199945157,"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."}}