{"id":"W2784138586","doi":"10.1161/circoutcomes.117.004425","title":"Elephant in the Room","year":2018,"lang":"en","type":"letter","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network; Institute for Clinical Evaluative Sciences; Western University","funders":"","keywords":"Environmental science","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":[],"consensus_categories":[],"category_scores_codex":[0.004990226,0.0005883488,0.001145382,0.0006483924,0.004499888,0.005161848,0.001246909,0.04482847,0.02189144],"category_scores_gemma":[0.0288182,0.0004545746,0.0009152347,0.0004026274,0.00639176,0.007034109,0.003931548,0.05773223,0.006440234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320486,"about_ca_system_score_gemma":0.005459933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00356644,"about_ca_topic_score_gemma":0.00902616,"domain_scores_codex":[0.9969575,0.0008934158,0.0001942822,0.0005406071,0.0007421165,0.0006720384],"domain_scores_gemma":[0.9913926,0.004528239,0.0003754673,0.0004164016,0.0006540134,0.002633265],"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":[0.00006328372,0.00005703065,0.0006716768,0.00003710801,0.00001668265,0.001781031,0.0002057942,0.00005916867,0.000131394,0.02235936,0.9628006,0.01181683],"study_design_scores_gemma":[0.0001482015,0.00005265758,0.0008794797,0.0003836882,0.00002105178,0.001185702,0.0008744125,0.0003252244,0.0001931019,0.05446549,0.9414234,0.00004743915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003623714,0.001076387,0.00009021402,0.9821569,0.01192221,0.000004275425,0.00001891261,0.00001166433,0.004357077],"genre_scores_gemma":[0.007992927,0.001243932,0.0001507032,0.9306411,0.04510316,0.00002575017,0.00001791405,0.00003239821,0.01479207],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04482847,"threshold_uncertainty_score":0.0732342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539762620265669,"score_gpt":0.327548511722191,"score_spread":0.1735722496956241,"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."}}