{"id":"W4312178001","doi":"10.2196/40771","title":"Factors Influencing Adoption and Use of Telemedicine Services in Rural Areas of China: Mixed Methods Study","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jiaying University","keywords":"Telemedicine; Thematic analysis; Context (archaeology); Medicine; Environmental health; Health care; Logistic regression; Rural area; Family medicine; Socioeconomics; Geography; Qualitative research; Economic growth; Sociology","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":[0.00409738,0.0006315657,0.0007854417,0.001916386,0.001429567,0.0009705362,0.0007531737,0.0006135567,0.001363054],"category_scores_gemma":[0.00402956,0.0006413045,0.001018163,0.002747147,0.0005836706,0.0009868889,0.0008602205,0.0004017998,0.0001135557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001401049,"about_ca_system_score_gemma":0.002133385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221324,"about_ca_topic_score_gemma":0.02584529,"domain_scores_codex":[0.9978741,0.0008419759,0.0003291532,0.0003597122,0.0003138583,0.0002812195],"domain_scores_gemma":[0.9970911,0.001169204,0.0008685629,0.0002068709,0.0004213053,0.0002430261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009270243,0.0005090722,0.9747002,0.0003094419,0.000166507,0.0003969548,0.01463102,0.00009998299,0.0005428609,0.00009426175,0.0001187109,0.008338205],"study_design_scores_gemma":[0.00002970456,0.0008028386,0.9640319,0.0001569905,0.0001514218,0.0002815263,0.03242479,0.001244514,0.0002785138,0.00009827025,0.0004694616,0.00003001264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993075,0.000125173,0.0001676674,0.00003137597,0.000001453259,0.000133639,0.0000879019,0.000001611731,0.0001437325],"genre_scores_gemma":[0.9983758,0.000237015,0.0006085614,0.0000534314,0.000004255912,0.0003736347,0.0001483229,0.000001716235,0.0001971845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02221324,"threshold_uncertainty_score":0.04416788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05740500605043709,"score_gpt":0.397228734990456,"score_spread":0.3398237289400189,"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."}}