{"id":"W4292369008","doi":"10.2196/41059","title":"Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico","year":2022,"lang":"en","type":"article","venue":"Iproceedings","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Medical emergency; Telehealth; Medicine; Coronavirus disease 2019 (COVID-19); Population; Health care; Emergency medical services; Business; Environmental health; 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":[0.08759276,0.000899809,0.001055183,0.009472711,0.003544216,0.005378162,0.002879209,0.001449376,0.002307523],"category_scores_gemma":[0.1057113,0.0009657039,0.002077506,0.006470395,0.002587141,0.003204352,0.005791485,0.001225116,0.0001612131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01957363,"about_ca_system_score_gemma":0.08685259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07659771,"about_ca_topic_score_gemma":0.1047747,"domain_scores_codex":[0.9168336,0.06856142,0.004558503,0.004846632,0.004134234,0.001065772],"domain_scores_gemma":[0.8791544,0.07116494,0.02245684,0.009421358,0.01474799,0.003054467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001124727,0.0009854266,0.1804383,0.04403783,0.004960954,0.0006788892,0.02714712,0.01548119,0.001814381,0.03668456,0.02472314,0.6619235],"study_design_scores_gemma":[0.003470027,0.004535533,0.2633086,0.1207775,0.01238135,0.0009037465,0.1004303,0.06813277,0.005794649,0.05389049,0.3657719,0.0006032148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2680471,0.1438247,0.3674431,0.08129904,0.0013079,0.08247461,0.01444193,0.002475531,0.03868608],"genre_scores_gemma":[0.5619721,0.01957658,0.3819157,0.003221196,0.0002390891,0.02878389,0.002839291,0.00006768767,0.001384375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08759276,"threshold_uncertainty_score":0.4632403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1516560947497808,"score_gpt":0.392028527790672,"score_spread":0.2403724330408913,"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."}}