{"id":"W2061051956","doi":"10.1080/10903120600725892","title":"Performance Analysis of a Medical Decision Algorithm to Mitigate Spread of SARS Due to Interfacility Patient Transfers","year":2006,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; University of Toronto","funders":"","keywords":"Medicine; Confidence interval; Authorization; Medical record; Suspect; Emergency medicine; Algorithm; Medical emergency; Internal medicine; Computer security; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01544597,0.001085777,0.001116698,0.002021169,0.0004686319,0.001424683,0.0008438717,0.001309016,0.0008511072],"category_scores_gemma":[0.0553399,0.0002930877,0.0006804376,0.0008251424,0.0004516747,0.0009968081,0.0006859478,0.0007578004,0.0001895545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484133,"about_ca_system_score_gemma":0.002583586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004898082,"about_ca_topic_score_gemma":0.001626111,"domain_scores_codex":[0.9901438,0.006459744,0.000816458,0.001028777,0.001173952,0.0003772652],"domain_scores_gemma":[0.9457608,0.04524358,0.003443808,0.0009863006,0.003652695,0.0009127493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01105555,0.001640046,0.4205222,0.0002737921,0.001252581,0.0001722174,0.0002620108,0.3472475,0.002311679,0.001109995,0.002098007,0.2120544],"study_design_scores_gemma":[0.000282255,0.001123624,0.01909004,0.00003508792,0.0001790183,0.0001449637,0.00005190184,0.9766557,0.001623482,0.0004384563,0.0003549514,0.00002057394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466709,0.0008407306,0.04775822,0.0007892117,0.00007312054,0.0004175951,0.0003204709,0.0004976628,0.002632143],"genre_scores_gemma":[0.9741763,0.0001127072,0.02496611,0.00008808824,0.00002782795,0.00008055189,0.0003893799,0.00001246633,0.0001465444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01544597,"threshold_uncertainty_score":0.08168709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393748957643653,"score_gpt":0.3246484963777127,"score_spread":0.3107110068012762,"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."}}