{"id":"W2335605979","doi":"10.1056/nejme1310554","title":"When It Comes to Trials, Do We Get What We Pay For?","year":2013,"lang":"en","type":"letter","venue":"New England Journal of Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"","keywords":"Medicine; Clinical trial; Government (linguistics); Psychological intervention; Alternative medicine; Health care; Randomized controlled trial; Public health; Clinical Practice; Family medicine; Nursing; Surgery; Pathology; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2337516,0.002102979,0.00707321,0.004553688,0.006415212,0.02035875,0.00874813,0.08625077,0.01319307],"category_scores_gemma":[0.6727265,0.00245719,0.004296007,0.00625916,0.02451367,0.03705179,0.006268369,0.1038919,0.01386269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01846895,"about_ca_system_score_gemma":0.02404129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006632107,"about_ca_topic_score_gemma":0.008869656,"domain_scores_codex":[0.7125522,0.1880474,0.03164418,0.01101072,0.05242873,0.004316734],"domain_scores_gemma":[0.2409163,0.6571965,0.02662959,0.01529564,0.03974266,0.02021935],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004857074,0.0001186631,0.001430584,0.001644819,0.0003816494,0.0005598748,0.0005522282,0.0002939434,0.0001916692,0.01872222,0.9157953,0.05982336],"study_design_scores_gemma":[0.001900618,0.0004737469,0.002161423,0.01152232,0.000405537,0.001567799,0.001466857,0.002314843,0.0005017355,0.2133274,0.7639111,0.0004465487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006229664,0.004529623,0.0004935654,0.9874021,0.006638115,0.00003457543,0.00003813823,0.00002477788,0.0007767558],"genre_scores_gemma":[0.001555208,0.003685534,0.002025016,0.9595863,0.03244786,0.0001591463,0.00003320253,0.00006331417,0.0004445082],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7662485,"threshold_uncertainty_score":0.9449208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4441035115440885,"score_gpt":0.4476114647076176,"score_spread":0.003507953163529143,"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."}}