{"id":"W3092252505","doi":"10.1016/j.ajem.2020.10.011","title":"Studying outcome predictors of drowning at the scene: Why do we have so few answers?","year":2020,"lang":"en","type":"review","venue":"The American Journal of Emergency Medicine","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre","funders":"","keywords":"Medicine; Demographics; Emergency medicine; Data extraction; Outcome (game theory); Injury prevention; Poison control; Medical emergency; MEDLINE; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005925044,0.0005596491,0.004830493,0.0003184403,0.0003009419,0.000002819465,0.0008170462,0.0001438363,0.001829777],"category_scores_gemma":[0.002558848,0.0002410082,0.001394942,0.0009512348,0.001267567,0.00006369768,0.0001741514,0.001871737,0.00001892525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163963,"about_ca_system_score_gemma":0.0003408344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007316734,"about_ca_topic_score_gemma":0.000007924058,"domain_scores_codex":[0.9925498,0.002142753,0.003707708,0.0003272386,0.0008438723,0.0004286678],"domain_scores_gemma":[0.9905434,0.001293222,0.006839833,0.0007123724,0.0003311119,0.0002800491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007250575,0.0001115535,0.01438661,0.005243164,0.004565048,0.000105048,0.003772543,0.00000676161,0.00002933625,0.00004846604,0.07296136,0.8980451],"study_design_scores_gemma":[0.0005355306,0.003359431,0.0007636392,0.01621499,0.01049939,0.000582581,0.002030984,0.000005971338,0.000001912155,0.0001117259,0.9656889,0.0002049446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001349061,0.9809116,0.0002591542,0.01292101,0.003329687,0.0007268434,0.00001433614,0.00001526221,0.0004730464],"genre_scores_gemma":[0.001646667,0.9935213,0.0000849139,0.0005676106,0.003219176,0.000013142,0.00001586284,0.00006691996,0.000864429],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8978401,"threshold_uncertainty_score":0.9990827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394931071708298,"score_gpt":0.4406858423107576,"score_spread":0.3011927351399277,"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."}}