{"id":"W2577053477","doi":"10.1161/circoutcomes.116.003152","title":"Effect of Prepublication Results on Trends in Prescribing of Antihypertensive Medication","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Heart and Stroke Foundation of Canada","keywords":"Medicine; Antihypertensive drug; Intensive care medicine; Internal medicine; Blood pressure","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":[0.05257772,0.0009771851,0.001974559,0.002522761,0.001405707,0.004363231,0.00291585,0.002851117,0.0096858],"category_scores_gemma":[0.1694976,0.001265077,0.006372036,0.005689852,0.001111477,0.003126422,0.001352638,0.003129823,0.001110388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112106,"about_ca_system_score_gemma":0.002260302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008931672,"about_ca_topic_score_gemma":0.004843899,"domain_scores_codex":[0.9251258,0.04691804,0.01063678,0.008648667,0.006471853,0.002198826],"domain_scores_gemma":[0.5860351,0.308123,0.0518849,0.03218672,0.01747675,0.004293702],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.150535,0.001859742,0.7667314,0.003777464,0.02367731,0.0007396546,0.001939176,0.001021307,0.00189578,0.0009207846,0.0163242,0.03057805],"study_design_scores_gemma":[0.003624145,0.009189559,0.9583014,0.0004533341,0.01621877,0.0004421815,0.0008579112,0.001241932,0.002496314,0.0004047382,0.006625619,0.0001440967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9606471,0.009610039,0.001438389,0.001399045,0.001798858,0.0003709563,0.01986668,0.0001967191,0.004672261],"genre_scores_gemma":[0.9846735,0.0008482552,0.0018198,0.001451994,0.0005875647,0.0003450533,0.007691554,0.0002272064,0.002355097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9474223,"threshold_uncertainty_score":0.2780609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08795703794079039,"score_gpt":0.3642982048688224,"score_spread":0.276341166928032,"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."}}