{"id":"W2889142675","doi":"10.2196/10531","title":"The Web-Based Physician is Ready to See You: A Nationwide Cross-Sectional Survey of Physicians Using a Mobile Medical App to Evaluate Patients With Sexually Transmitted Diseases in China","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; National Office for Philosophy and Social Sciences; Shenzhen University","keywords":"Cross-sectional study; Medicine; Family medicine; Mobile apps; Telemedicine; Web survey; mHealth; World Wide Web; Health care; Computer science; 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":[0.001235907,0.0002393142,0.0002743613,0.001062216,0.0008459481,0.0005277125,0.0004257849,0.0006456459,0.001377272],"category_scores_gemma":[0.002446934,0.0004978229,0.000415638,0.001524024,0.0004344252,0.000932345,0.0006161427,0.0005886438,0.0002749227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095002,"about_ca_system_score_gemma":0.001040507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0319276,"about_ca_topic_score_gemma":0.05235294,"domain_scores_codex":[0.998979,0.0001758431,0.0001846969,0.0002205843,0.0002830419,0.0001568286],"domain_scores_gemma":[0.9974698,0.0003121169,0.001136951,0.0001257058,0.0003565104,0.0005988883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006498353,0.00002803357,0.9991205,0.000009117448,0.00001127967,0.00002821806,0.0002388728,0.000006783879,0.00007707192,0.000004308651,0.00008595314,0.0003833369],"study_design_scores_gemma":[0.000001614321,0.00003028181,0.9992614,0.000006486674,0.000006105068,0.00005176299,0.0004692543,0.00006676599,0.00001590528,0.000003170652,0.0000850487,0.000002185674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992267,0.0001036087,0.00002655045,0.00011856,0.000003330037,0.00001752768,0.0002772074,0.000001793876,0.0002247222],"genre_scores_gemma":[0.9993082,0.0001055198,0.00006282699,0.0001576931,0.000005621861,0.00001944214,0.0002360464,7.954583e-7,0.0001038817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0319276,"threshold_uncertainty_score":0.06348354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05552453845910589,"score_gpt":0.4600910587956191,"score_spread":0.4045665203365132,"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."}}