{"id":"W6904738573","doi":"10.1371/journal.pone.0283711.s001","title":"Residuals regression by triage score (1–2).","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Psychological intervention; Emergency department; Pandemic; Proxy (statistics); Population; Control (management); Regression analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01490274,0.002658763,0.00187566,0.002907885,0.0005359118,0.001720762,0.00316603,0.001529064,0.1090607],"category_scores_gemma":[0.04953341,0.001107832,0.004807576,0.004791239,0.0008641149,0.001644948,0.002205193,0.005710784,0.05899073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577384,"about_ca_system_score_gemma":0.003203436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05982555,"about_ca_topic_score_gemma":0.04075349,"domain_scores_codex":[0.9860083,0.006641359,0.001019042,0.003579623,0.001783561,0.0009679597],"domain_scores_gemma":[0.9810613,0.008931496,0.002190416,0.003977326,0.003308883,0.0005306015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002243787,0.0007243611,0.3214683,0.001449043,0.003904893,0.0002986375,0.001157999,0.01251991,0.001069713,0.01022454,0.3776637,0.2672752],"study_design_scores_gemma":[0.0007511827,0.001688173,0.4726335,0.00140578,0.002054578,0.001044733,0.002161368,0.1283338,0.002484222,0.01554791,0.3715135,0.0003813218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2196624,0.004740661,0.3297476,0.009535743,0.01145303,0.00669174,0.3240261,0.03025638,0.06388632],"genre_scores_gemma":[0.6256697,0.001574282,0.1059405,0.001940653,0.0008069742,0.007305839,0.09030888,0.011956,0.1544973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1090607,"threshold_uncertainty_score":0.3648444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06574771680084823,"score_gpt":0.3342213714262434,"score_spread":0.2684736546253951,"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."}}