{"id":"W2949132496","doi":"10.2196/13772","title":"Factors Determining Patients’ Choice Between Mobile Health and Telemedicine: Predictive Analytics Assessment","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; mHealth; Telecare; Medicine; Health care; Medical emergency; Family medicine; Nursing; Psychological intervention","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":[0.003690387,0.0004152051,0.0003326449,0.001861035,0.0004851216,0.001262146,0.0005069664,0.0005386103,0.003700278],"category_scores_gemma":[0.02273169,0.0001729917,0.0009470801,0.001533859,0.0004455426,0.0007313619,0.000802186,0.00101671,0.0004237957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003823271,"about_ca_system_score_gemma":0.0007902657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001898049,"about_ca_topic_score_gemma":0.001413113,"domain_scores_codex":[0.9982881,0.0007784034,0.0002088535,0.0001842697,0.0003758103,0.0001646021],"domain_scores_gemma":[0.9719856,0.02202895,0.003283332,0.0006494388,0.0009049969,0.001147754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374046,0.00007407411,0.9958015,0.000009808046,0.00003102601,0.00003587111,0.00009532208,0.0003897452,0.00003701681,0.00003461707,0.00007911376,0.003274498],"study_design_scores_gemma":[0.00002653175,0.0005494545,0.9705395,0.00003492162,0.00009407731,0.0004838122,0.001514307,0.02546404,0.0003376014,0.0005061381,0.0004234487,0.00002617243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979887,0.00006706046,0.0009088045,0.0001764986,0.000006879661,0.00003450588,0.0002956993,0.00001144264,0.00051051],"genre_scores_gemma":[0.9991561,0.00002486904,0.0005667064,0.00000950182,0.000006241247,0.00001539801,0.0001708161,0.000001716171,0.00004869121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003700278,"threshold_uncertainty_score":0.01951689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07059595462664307,"score_gpt":0.4343094481650075,"score_spread":0.3637134935383644,"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."}}