{"id":"W4396790043","doi":"10.1371/journal.pone.0303302","title":"Therapies go digital. What drives physicians’ acceptance?","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital health; Mindset; Normative; Health care; Technology acceptance model; Usability; Psychology; Scientific evidence; Structural equation modeling; Intervention (counseling); Knowledge management; Medicine; Medical education; Nursing; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01001431,0.0002632559,0.0003398497,0.001569587,0.001040706,0.005234852,0.000768543,0.002552495,0.007918776],"category_scores_gemma":[0.1271117,0.0002712418,0.0006846038,0.001351169,0.003457052,0.002901274,0.001557598,0.002230207,0.0008946779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002013083,"about_ca_system_score_gemma":0.003455118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218211,"about_ca_topic_score_gemma":0.00249017,"domain_scores_codex":[0.9834431,0.01046595,0.0008212198,0.0008746251,0.003346722,0.001048358],"domain_scores_gemma":[0.8105778,0.1410829,0.02890298,0.003433161,0.007685806,0.008317395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002720321,0.0008521072,0.8759764,0.000384186,0.0001765894,0.0003958386,0.02935971,0.0004410597,0.0005432077,0.0055888,0.003163586,0.08284658],"study_design_scores_gemma":[0.0001214788,0.0007634369,0.9204466,0.0007120077,0.0001622422,0.000798884,0.05182206,0.003389801,0.0004920679,0.009964774,0.01124026,0.00008631322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9520569,0.002187254,0.001871686,0.02546743,0.00009162828,0.00008148562,0.00008962445,0.00003257841,0.01812144],"genre_scores_gemma":[0.9976878,0.0004110439,0.0003838405,0.001094967,0.00006376273,0.00001872164,0.00002275593,0.000006784715,0.0003102423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001431,"threshold_uncertainty_score":0.05296135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05427627108506036,"score_gpt":0.3158135334285049,"score_spread":0.2615372623434445,"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."}}