{"id":"W3125924704","doi":"10.1016/j.resplu.2020.100072","title":"Drowning and aquatic injuries dictionary","year":2021,"lang":"en","type":"article","venue":"Resuscitation Plus","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"CLARITY; Content validity; Index (typography); Scale (ratio); Delphi method; Categorization; Resource (disambiguation); Psychology; Occupational safety and health; Poison control; Applied psychology; Medical education; Computer science; Medicine; Medical emergency; Geography; Artificial intelligence; Clinical psychology; Pathology; Psychometrics; Cartography; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.000302584,0.00004863724,0.0001159727,0.00005192814,0.0001041327,0.000007158277,0.00001045526,0.00006164769,0.00006583703],"category_scores_gemma":[0.0006780173,0.00004636243,0.00002955339,0.0001112933,0.00004810302,0.00008517304,0.00001285454,0.00009486006,0.00003259448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002838924,"about_ca_system_score_gemma":0.0000905147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005602635,"about_ca_topic_score_gemma":0.00000418942,"domain_scores_codex":[0.9994338,0.0001176999,0.0001574214,0.0001303709,0.00007811447,0.00008260859],"domain_scores_gemma":[0.9995702,0.0002211868,0.00004370113,0.00008366441,0.00003906765,0.00004220499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002391201,0.0003264996,0.5912013,0.001339487,0.0007153678,0.0004362838,0.009869698,0.0001191512,0.05818208,0.1527418,0.04156308,0.141114],"study_design_scores_gemma":[0.001493064,0.0001734868,0.937834,0.0002639008,0.0001583421,0.0001571587,0.0008099802,0.005059331,0.002356623,0.04298567,0.008556919,0.0001515766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756542,0.001314795,0.00663096,0.005748377,0.0003349418,0.0001162087,0.000002221274,0.00005982981,0.01013839],"genre_scores_gemma":[0.9913675,0.000121344,0.004654546,0.0008263506,0.0000942335,0.000009417628,0.0001200107,0.000005454428,0.002801097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3466326,"threshold_uncertainty_score":0.1890605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220970291970935,"score_gpt":0.3215075975796474,"score_spread":0.2994105683825539,"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."}}