{"id":"W4245467674","doi":"10.2196/34080","title":"Patient Onboarding and Engagement to Build a Digital Study After Enrollment in a Clinical Trial (TAILOR-PCI Digital Study): Intervention Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta; St. Michael's Hospital; University of Ottawa","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute","keywords":"Conventional PCI; Medicine; Randomized controlled trial; Randomization; Percutaneous coronary intervention; Onboarding; Intervention (counseling); Informed consent; Digital health; Clinical trial; Family medicine; Physical therapy; Internal medicine; Nursing; Alternative medicine; Psychology; Health care","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01394678,0.001130457,0.001053213,0.0006603033,0.001029138,0.001703955,0.0006474921,0.001896722,0.01098307],"category_scores_gemma":[0.02381386,0.0006177953,0.002023377,0.0006432769,0.001092013,0.001876924,0.00182915,0.002089061,0.001436766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497636,"about_ca_system_score_gemma":0.004515711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007871167,"about_ca_topic_score_gemma":0.001354573,"domain_scores_codex":[0.9843847,0.01122474,0.001188645,0.000941494,0.00106124,0.00119924],"domain_scores_gemma":[0.9834788,0.007122091,0.004378322,0.001658403,0.0009718802,0.00239051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2668216,0.305483,0.05289383,0.005979,0.002779775,0.0004957991,0.004969947,0.0009631623,0.002738367,0.002200148,0.01058234,0.3440931],"study_design_scores_gemma":[0.2796395,0.6169068,0.07374515,0.001264999,0.001945509,0.0003167595,0.001805065,0.00150629,0.002119343,0.001342797,0.019232,0.0001757824],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357537,0.001412127,0.003397596,0.001767641,0.000415995,0.04771468,0.001354506,0.0001652295,0.008018639],"genre_scores_gemma":[0.8999151,0.0009281834,0.01419437,0.002494571,0.000703908,0.07869309,0.0006328206,0.00002955668,0.00240835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01394678,"threshold_uncertainty_score":0.07375854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07752142721341154,"score_gpt":0.4492602727107526,"score_spread":0.3717388454973411,"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."}}