{"id":"W4200114883","doi":"10.2196/preprints.34080","title":"Patient Onboarding and Engagement to Build a Digital Study After Enrollment in a Clinical Trial (TAILOR-PCI Digital Study): Intervention Study (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conventional PCI; Medicine; Randomized controlled trial; Randomization; Percutaneous coronary intervention; Onboarding; Intervention (counseling); Informed consent; Digital health; Family medicine; Alternative medicine; Surgery; Internal medicine; Nursing; Psychology; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01414027,0.0006970725,0.0008215028,0.0004278828,0.0008768815,0.00183542,0.0004606606,0.001574301,0.02294604],"category_scores_gemma":[0.02766225,0.0003923822,0.002174385,0.0004852615,0.0007248399,0.00159227,0.001298259,0.002019074,0.002495488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00116488,"about_ca_system_score_gemma":0.004119105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009394129,"about_ca_topic_score_gemma":0.001818308,"domain_scores_codex":[0.9915575,0.006080003,0.0007159728,0.0003936779,0.0006136326,0.0006392589],"domain_scores_gemma":[0.9814982,0.009323871,0.003838191,0.001630192,0.001339301,0.002370229],"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":[0.312662,0.1476479,0.03278623,0.008041923,0.003077706,0.0003123177,0.003438669,0.0007387404,0.003095713,0.00276288,0.06375068,0.4216852],"study_design_scores_gemma":[0.398627,0.4522152,0.08714115,0.002759205,0.002648276,0.0001648895,0.001849094,0.001488785,0.003927608,0.001771096,0.04717495,0.0002328554],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592396,0.002215917,0.00610515,0.009922625,0.00297218,0.095277,0.005814989,0.0006617269,0.01779079],"genre_scores_gemma":[0.7694663,0.001661146,0.02923774,0.00999835,0.002433346,0.1751377,0.002404566,0.0001124946,0.009548475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02294604,"threshold_uncertainty_score":0.07676214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081242390365144,"score_gpt":0.4983523232419656,"score_spread":0.3902280842054512,"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."}}