{"id":"W2980958045","doi":"10.1161/circulationaha.119.040798","title":"Technology-Enabled Clinical Trials","year":2019,"lang":"en","type":"review","venue":"Circulation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Novartis Pharma; School of Medicine, Duke University; U.S. Food and Drug Administration; Flatiron Health; McGill University Health Centre; McGill University; Sanofi; University of Pittsburgh; Michael J. Fox Foundation for Parkinson's Research; Amgen; Pfizer; Eli Lilly and Company; AstraZeneca; Duke Clinical Research Institute; Verily Life Sciences","keywords":"Clinical trial; Medicine; Wearable technology; Randomized controlled trial; Wearable computer; Stakeholder; Mobile technology; Mobile device; Risk analysis (engineering); Computer science; Embedded system; Surgery; World Wide Web; Pathology; Public relations","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":[],"consensus_categories":[],"category_scores_codex":[0.04846057,0.001329659,0.003393466,0.004752017,0.0005989336,0.006611502,0.003001723,0.005207918,0.01668848],"category_scores_gemma":[0.09257304,0.0008944205,0.003226027,0.005584417,0.003305733,0.005950161,0.004064781,0.00608816,0.003973813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003738522,"about_ca_system_score_gemma":0.01042902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007839018,"about_ca_topic_score_gemma":0.0009443036,"domain_scores_codex":[0.9373991,0.04702897,0.004951327,0.002857493,0.006888073,0.0008750373],"domain_scores_gemma":[0.8551438,0.1235113,0.008635842,0.005818613,0.005599683,0.001290692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000391922,0.0001536035,0.0002898424,0.1115703,0.001330844,0.0001430908,0.0002963968,0.001189235,0.0006963337,0.07620893,0.05456358,0.753166],"study_design_scores_gemma":[0.0008206926,0.0003418608,0.0008184283,0.0887773,0.0008861608,0.0005447366,0.0001341095,0.0003511758,0.0006097364,0.03862675,0.8680416,0.00004747746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000316932,0.967287,0.006516412,0.006975639,0.002787378,0.0008773011,0.0002859596,0.0001190824,0.01483428],"genre_scores_gemma":[0.01150393,0.9535415,0.01600715,0.01110504,0.003085987,0.001810756,0.0004194166,0.00004283846,0.002483423],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04846057,"threshold_uncertainty_score":0.2562871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7806244979786557,"score_gpt":0.6419271422410979,"score_spread":0.1386973557375578,"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."}}