{"id":"W3094303471","doi":"10.2196/18426","title":"Implementation and Application of Telemedicine in China: Cross-Sectional Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Teleradiology; Computer science; Videoconferencing; Telepathology; DICOM; Medical emergency; Cross-sectional study; Medicine; Telecommunications; Health care; Artificial intelligence","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":[0.0006603448,0.0001344679,0.0003723022,0.0001818749,0.0001045446,0.000007241894,0.00003478568,0.0000554371,0.00004858211],"category_scores_gemma":[0.00003584042,0.0001196788,0.00001645352,0.0003843422,0.00006669544,0.00009529103,0.00002695635,0.0002297376,0.000001620183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006896386,"about_ca_system_score_gemma":0.0002292724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257139,"about_ca_topic_score_gemma":0.0004593525,"domain_scores_codex":[0.9980066,0.00007287953,0.0009304712,0.0003625865,0.0003268773,0.0003006243],"domain_scores_gemma":[0.9990156,0.00005014342,0.0002942947,0.0001158754,0.00007059467,0.0004534945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004255895,0.0001735295,0.9476359,0.001386584,0.000008395737,0.000003193817,0.003278534,6.291143e-7,0.0001007742,0.0002111508,0.0001557409,0.04661994],"study_design_scores_gemma":[0.007294955,0.003488142,0.9850929,0.00001359361,0.00003490476,0.00002180062,0.003110072,0.0003116295,0.00002629399,0.00005840173,0.0004797742,0.00006749408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899709,0.0002944735,0.000418586,0.006736276,0.00004491347,0.002414091,0.00001941294,0.00003529432,0.00006604761],"genre_scores_gemma":[0.9962938,0.0002476013,0.0002927317,0.002622388,0.0002550356,0.0001471092,0.0001221664,0.00001474386,0.000004363789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04655244,"threshold_uncertainty_score":0.4880358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05805936366554604,"score_gpt":0.4642908680096392,"score_spread":0.4062315043440932,"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."}}