{"id":"W4389129665","doi":"10.2196/42847","title":"Ten Years of Experience With a Telemedicine Platform Dedicated to Health Care Personnel: Implementation Report","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Health care; Medical emergency; Telehealth; Computer science; Medicine; Nursing; 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":[0.01424602,0.0009958014,0.0004272236,0.001442209,0.001474825,0.001800912,0.00152409,0.001289329,0.003533755],"category_scores_gemma":[0.01561787,0.0008478893,0.0006776345,0.0008829235,0.001130668,0.001655052,0.003809663,0.001317,0.001305935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608021,"about_ca_system_score_gemma":0.00419584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002879347,"about_ca_topic_score_gemma":0.00391129,"domain_scores_codex":[0.9925956,0.003058975,0.0005113907,0.0005910243,0.001153048,0.002089872],"domain_scores_gemma":[0.9840056,0.002902571,0.001869103,0.0008712418,0.003587726,0.006763822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009337015,0.02925233,0.4731542,0.001030564,0.0001433454,0.003298521,0.1547872,0.0006635126,0.008406769,0.0002412431,0.004173445,0.3239151],"study_design_scores_gemma":[0.0002807334,0.03100985,0.8247527,0.0005629871,0.0001986037,0.003126239,0.1080973,0.001742881,0.005749772,0.0001773808,0.02408019,0.0002212444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955477,0.0001410531,0.001373631,0.0002135486,0.00002016943,0.000723215,0.0001044924,0.00007219164,0.001804003],"genre_scores_gemma":[0.9894805,0.0003923463,0.005226764,0.0004436146,0.00004563655,0.0009065226,0.0004868015,0.00005758294,0.002960217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01424602,"threshold_uncertainty_score":0.07534105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643885924076583,"score_gpt":0.4156040406343538,"score_spread":0.379165181393588,"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."}}