{"id":"W4283215486","doi":"10.2196/39145","title":"The Power of Patient Engagement With Electronic Health Records as Research Participants","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Health information technology; Health care; Wearable computer; Variety (cybernetics); Wearable technology; Medicine; Patient portal; Telemedicine; Telehealth; Big data; Workflow; Data science; Internet privacy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1616349,0.0007808696,0.001089723,0.002730294,0.0078468,0.02383913,0.00312596,0.007372344,0.01250205],"category_scores_gemma":[0.288541,0.001041987,0.001199198,0.002260829,0.01902953,0.02564374,0.03165501,0.008457399,0.002849265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588117,"about_ca_system_score_gemma":0.008693018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007224287,"about_ca_topic_score_gemma":0.0007747857,"domain_scores_codex":[0.6075008,0.3611455,0.005085505,0.009727472,0.01343555,0.003105144],"domain_scores_gemma":[0.5595691,0.3672347,0.01671497,0.03474595,0.008969409,0.01276598],"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":[0.0009090218,0.0005017347,0.04898706,0.002128828,0.0003624248,0.0009332172,0.2561499,0.000541987,0.002026199,0.2154938,0.03291686,0.4390491],"study_design_scores_gemma":[0.0004973786,0.001730193,0.01193424,0.006314875,0.0003492621,0.003126519,0.1068326,0.002358561,0.002341504,0.3629432,0.5012479,0.00032376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1607376,0.02203324,0.1524289,0.4749172,0.004563285,0.001459348,0.0009673698,0.0006852141,0.1822079],"genre_scores_gemma":[0.8733596,0.007796282,0.03964467,0.0587029,0.004670135,0.003441506,0.0003959781,0.0002995571,0.01168921],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1616349,"threshold_uncertainty_score":0.8548174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09704454054231565,"score_gpt":0.5092571862643248,"score_spread":0.4122126457220092,"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."}}