{"id":"W1818634904","doi":"10.1186/s13063-015-0919-3","title":"Reducing the confusion and controversies around pragmatic trials: using the Cardiovascular Health Awareness Program (CHAP) trial as an illustrative example","year":2015,"lang":"en","type":"article","venue":"Trials","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; St. Joseph’s Healthcare Hamilton; McMaster University; Population Health Research Institute","funders":"Ontario Ministry of Health and Long-Term Care; Canadian Stroke Network; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Confusion; Alternative medicine; Clinical trial; Psychology; Pathology; Psychoanalysis","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":["metaresearch"],"category_scores_codex":[0.5277298,0.002237533,0.006063108,0.004703528,0.003692286,0.01076597,0.004828596,0.02685767,0.003539041],"category_scores_gemma":[0.7000996,0.001300699,0.006784367,0.006400715,0.01670789,0.01604051,0.008080786,0.0210687,0.001030647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005480426,"about_ca_system_score_gemma":0.01205888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001985343,"about_ca_topic_score_gemma":0.00248274,"domain_scores_codex":[0.3553809,0.6015952,0.02411024,0.003003428,0.01478142,0.001128774],"domain_scores_gemma":[0.1930412,0.7649956,0.01509378,0.01527181,0.010055,0.001542622],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01501836,0.0007151507,0.002686505,0.07191309,0.009431223,0.002399353,0.01187108,0.005287626,0.001059264,0.4491562,0.1209294,0.3095328],"study_design_scores_gemma":[0.02632524,0.002819575,0.001546997,0.06734497,0.006091615,0.00137947,0.002292072,0.009554153,0.001545683,0.5883018,0.2923163,0.0004821399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.005850713,0.1630173,0.08675418,0.6888525,0.03241534,0.008830165,0.0003075349,0.0003892558,0.01358301],"genre_scores_gemma":[0.1598381,0.0512569,0.3267805,0.3990021,0.02454313,0.03549186,0.0002140621,0.0004336811,0.00243957],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4722702,"threshold_uncertainty_score":0.5823933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9000246237911737,"score_gpt":0.7159202174368843,"score_spread":0.1841044063542894,"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."}}