{"id":"W4409842581","doi":"10.2196/59103","title":"Developing an Intelligent Mobile Clinic—A Medical Vehicle for Improve Access to Healthcare in Remote Areas: Evidence From China","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; China; Health care; Telemedicine; Computer science; Internet privacy; Medicine; Medical emergency; World Wide Web; Geography; Political 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":[0.00601994,0.0004427092,0.0005554289,0.001343998,0.0008199626,0.001320892,0.001367026,0.0006702914,0.004816237],"category_scores_gemma":[0.01280142,0.000230581,0.001131154,0.001866257,0.001268706,0.0009761629,0.001187242,0.0008812383,0.0002464282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008666,"about_ca_system_score_gemma":0.007987398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04215484,"about_ca_topic_score_gemma":0.06956168,"domain_scores_codex":[0.9975183,0.0012954,0.0002408506,0.0001857509,0.0005003923,0.0002593638],"domain_scores_gemma":[0.9897228,0.00488713,0.002600805,0.0004053262,0.001148319,0.001235468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001472791,0.002160081,0.7273329,0.01221728,0.002261037,0.0005787861,0.005201787,0.000600916,0.0004239015,0.00184276,0.00429399,0.2416138],"study_design_scores_gemma":[0.0009708844,0.003198376,0.9574349,0.01138505,0.00347665,0.0002671865,0.006818161,0.00158047,0.0004370351,0.0005365089,0.0138208,0.0000739784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9215366,0.05897248,0.0005139472,0.007360462,0.0001376829,0.0005363694,0.0004827014,0.00002398368,0.0104358],"genre_scores_gemma":[0.9771768,0.020099,0.0007271175,0.001144809,0.00009121143,0.0001245055,0.0002027253,0.000004832402,0.000429037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04215484,"threshold_uncertainty_score":0.08381897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09273152247963218,"score_gpt":0.4965944924341963,"score_spread":0.4038629699545641,"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."}}