{"id":"W1986359054","doi":"10.1503/cmaj.1041469","title":"Telemedicine and rural care","year":2005,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Bridge (graph theory); Rural health; Rural area; Coronavirus disease 2019 (COVID-19); Tertiary care; Point (geometry); Computer science; World Wide Web; Medicine; 2019-20 coronavirus outbreak; Medical emergency; Health care; Family medicine; Political science; Virology; Pathology; Surgery; Mathematics; Law","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":[0.001989345,0.0003063289,0.0003328983,0.0003255966,0.005621998,0.002958298,0.0007730681,0.01931521,0.01221458],"category_scores_gemma":[0.007834541,0.0002000348,0.0002236337,0.0004609046,0.01031754,0.005294127,0.003384526,0.01661798,0.001802512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005615444,"about_ca_system_score_gemma":0.006457019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00937675,"about_ca_topic_score_gemma":0.02892025,"domain_scores_codex":[0.9972365,0.001300178,0.0001183997,0.0002767083,0.0005977783,0.0004705066],"domain_scores_gemma":[0.9954942,0.002190114,0.0003705018,0.0001382075,0.0003458877,0.001461008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004302068,0.00006256787,0.001986039,0.000237543,0.000007961374,0.005374953,0.004130941,0.0001058003,0.0004378458,0.07955842,0.8545167,0.053538],"study_design_scores_gemma":[0.00002762812,0.00008500099,0.001887971,0.0005125561,0.000004234615,0.006882124,0.006226215,0.0001003332,0.00005811841,0.03006606,0.9541293,0.00002036762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001057054,0.003919779,0.00009426844,0.9801986,0.001907482,0.000004589672,0.000004620885,0.000007059979,0.01280661],"genre_scores_gemma":[0.06559618,0.008463723,0.0003137131,0.8950901,0.0135506,0.00002691523,0.00000982087,0.00001414934,0.01693473],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01931521,"threshold_uncertainty_score":0.04086179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387050494022389,"score_gpt":0.3590911122016325,"score_spread":0.3452206072614086,"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."}}