{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002659031,0.0001472963,0.0006698026,0.0004156343,0.0001217355,0.000008247023,0.0000554571,0.00003238615,0.00003634709],"category_scores_gemma":[0.0002135122,0.0001204172,0.00002331331,0.0006486424,0.00005389017,0.0001617563,0.00009165176,0.0002423579,3.661556e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009372678,"about_ca_system_score_gemma":0.0003336529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004018554,"about_ca_topic_score_gemma":0.0009547975,"domain_scores_codex":[0.9973604,0.000767666,0.0009009861,0.000230813,0.0003851171,0.0003549867],"domain_scores_gemma":[0.9986176,0.0002927055,0.0004588227,0.0001940941,0.00009801643,0.0003387956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001142633,0.0002161079,0.901776,0.0008496283,0.00001869562,0.000002019732,0.01069657,0.000001314228,0.00006756619,0.00002394571,0.00007475814,0.08615919],"study_design_scores_gemma":[0.00256273,0.002418153,0.9419515,0.00003076136,0.000002568706,0.00001324348,0.05006157,0.0002100837,0.000004275387,0.000008101773,0.002667075,0.00006998127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954404,0.0006973079,0.00006231212,0.002293574,0.0001049172,0.001336872,0.00002821577,0.00002464315,0.0000117504],"genre_scores_gemma":[0.9983121,0.0001682803,0.0005020589,0.0007275029,0.00003198187,0.000092953,0.0001430041,0.00001284255,0.000009341261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08608921,"threshold_uncertainty_score":0.6074878,"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."}}