{"id":"W2901716698","doi":"10.1002/cpt.1317","title":"Recognizing that Evidence is Made, not Born","year":2018,"lang":"en","type":"article","venue":"Clinical Pharmacology & Therapeutics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Arthritis Patient Alliance; Canadian Agency for Drugs and Technologies in Health; Health Canada","funders":"Health Canada","keywords":"Reimbursement; Context (archaeology); Quality (philosophy); Business; Risk analysis (engineering); Product (mathematics); Process (computing); Process management; Evidence-based practice; Operations management; Marketing; Medicine; Economics; Computer science; Health care; Economic growth","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.1521628,0.0009408686,0.002616314,0.004554853,0.003513647,0.02399179,0.004337799,0.0122224,0.005476549],"category_scores_gemma":[0.405407,0.001284571,0.001281683,0.003434915,0.03047859,0.03389734,0.01127591,0.02897157,0.00416792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007725885,"about_ca_system_score_gemma":0.03301774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003639811,"about_ca_topic_score_gemma":0.004667324,"domain_scores_codex":[0.8646899,0.06304393,0.01575144,0.009276723,0.04522761,0.002010522],"domain_scores_gemma":[0.5908622,0.2594252,0.02181922,0.05124079,0.0693763,0.007276335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001431424,0.00009840648,0.002790506,0.005936421,0.0007072529,0.00077019,0.005102412,0.0007256345,0.001607685,0.6561316,0.1491628,0.1768239],"study_design_scores_gemma":[0.00005316116,0.00007455188,0.000919753,0.01078648,0.0001975399,0.0006280913,0.002239556,0.0005407052,0.0006192488,0.5850094,0.3988274,0.0001040472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002516879,0.06022622,0.04768676,0.8113011,0.03072107,0.0002655555,0.0003545733,0.0002002033,0.04672766],"genre_scores_gemma":[0.240356,0.1112927,0.1888156,0.3941902,0.03046216,0.001039039,0.0007322557,0.0005870285,0.03252507],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9964864,"threshold_uncertainty_score":0.8047234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8440868573545443,"score_gpt":0.6056367973435256,"score_spread":0.2384500600110186,"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."}}