{"id":"W4405015040","doi":"10.2196/45763","title":"Patient-Centric Mobile Medical Services Accessed Through Smartphones in the Top 100 Chinese Public Hospitals: Cross-Sectional Survey Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Hospital Development Center","keywords":"Medicine; The Internet; China; Family medicine; Public health; Medical prescription; Mobile phone; Health care; Phone; Medical emergency; Nursing; World Wide Web; Political science; Telecommunications","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":[0.001068533,0.0003326944,0.0003872503,0.001802037,0.0007532311,0.0008446476,0.0006114434,0.0005925526,0.001858256],"category_scores_gemma":[0.00231161,0.0004771934,0.0005412932,0.003086373,0.0004789748,0.001148573,0.0008115252,0.0006807934,0.0004192239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383631,"about_ca_system_score_gemma":0.001154696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03826058,"about_ca_topic_score_gemma":0.051091,"domain_scores_codex":[0.998955,0.000136641,0.0001674336,0.0002036881,0.0003035186,0.0002336761],"domain_scores_gemma":[0.9974174,0.000316671,0.001112668,0.0001555981,0.0005069096,0.0004906715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009726999,0.00003647971,0.9986834,0.0000188493,0.00001942838,0.00004521014,0.0003868362,0.00001018852,0.00006912426,0.00001070309,0.0001272596,0.000582811],"study_design_scores_gemma":[0.000001656956,0.00004291283,0.9981741,0.00000842347,0.00001320062,0.00007823826,0.001420704,0.00008572116,0.00002471542,0.00000539985,0.0001399777,0.000004942584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988593,0.00008939849,0.00002890464,0.00006957629,0.000002401563,0.00002091052,0.0005955423,0.000002310051,0.0003317786],"genre_scores_gemma":[0.9992017,0.0001157131,0.00004582791,0.00008422919,0.00000531221,0.00003030831,0.0003986296,0.000001265418,0.0001170042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03826058,"threshold_uncertainty_score":0.07607573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226922365309779,"score_gpt":0.5665467570057258,"score_spread":0.4438545204747479,"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."}}