{"id":"W3003588057","doi":"10.12927/hcq.2020.26091","title":"Making Informed CHOICES: The Launch of a “Big Data” Pragmatic Trial to Improve Cholesterol Management and Prevent Heart Disease in Ontario","year":2020,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Institute of Circulatory and Respiratory Health; Canadian Institutes of Health Research; Sanofi; Ontario Ministry of Health and Long-Term Care; AstraZeneca; Heart and Stroke Foundation of Canada; Amgen","keywords":"Randomized controlled trial; Medicine; Disease management; Cluster (spacecraft); Cluster randomised controlled trial; High cholesterol; Statin; Cholesterol; Medical emergency; Disease; Family medicine; Gerontology; Surgery; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0152019,0.0007586021,0.001190645,0.0002502326,0.00262937,0.001576122,0.0008531494,0.002113794,0.004956452],"category_scores_gemma":[0.02772245,0.0004562898,0.001946049,0.0007239108,0.002528463,0.001254522,0.001546068,0.001682869,0.0002987532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01800775,"about_ca_system_score_gemma":0.05946627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5336089,"about_ca_topic_score_gemma":0.6714302,"domain_scores_codex":[0.9856148,0.01096876,0.000622259,0.00056127,0.001173878,0.001059075],"domain_scores_gemma":[0.9871876,0.00478036,0.00161767,0.0009153963,0.001437941,0.004060995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.5957675,0.01687038,0.03669172,0.004275147,0.007834326,0.0006600449,0.006375987,0.003611719,0.002246924,0.009141536,0.07009941,0.2464253],"study_design_scores_gemma":[0.7650066,0.03923579,0.1233668,0.002533511,0.005327035,0.0001106287,0.001826578,0.003906581,0.001104087,0.01043139,0.0468096,0.0003413977],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637,0.004928646,0.002935381,0.07303773,0.001716499,0.02243598,0.007719728,0.0002758925,0.02325024],"genre_scores_gemma":[0.9515264,0.001897574,0.01223383,0.01158196,0.0007618862,0.01515207,0.001772515,0.00005199434,0.005021786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663911,"threshold_uncertainty_score":0.9382756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06523883583321553,"score_gpt":0.3260464537041457,"score_spread":0.2608076178709302,"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."}}