{"id":"W2511441550","doi":"10.1136/injuryprev-2016-042156.1020","title":"1020 Children’s understanding of no diving warning signs: implications for preventing childhood injury","year":2016,"lang":"en","type":"article","venue":"","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Warning signs; Injury prevention; Warning system; Human factors and ergonomics; Occupational safety and health; Poison control; Suicide prevention; Medical emergency; Psychology; Medicine; Computer security; Applied psychology; Engineering; Computer science; Transport engineering; Pathology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003091469,0.0003096088,0.0002838696,0.0009480801,0.001581834,0.003114825,0.0006946023,0.001396313,0.007298023],"category_scores_gemma":[0.02062111,0.0003104918,0.0004283963,0.0005332817,0.003084891,0.003083332,0.002306506,0.002643239,0.000365192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003492225,"about_ca_system_score_gemma":0.00681877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04766635,"about_ca_topic_score_gemma":0.0466403,"domain_scores_codex":[0.9980775,0.0007725121,0.0001593035,0.0001534639,0.0004629552,0.0003742602],"domain_scores_gemma":[0.9926267,0.002390488,0.002113037,0.0002297389,0.001661688,0.0009782872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007634809,0.0006111596,0.6509501,0.0009097451,0.00007850622,0.002556097,0.1643462,0.0006500278,0.0008883408,0.03754094,0.0331447,0.1082479],"study_design_scores_gemma":[0.00003194923,0.0002016199,0.5791618,0.005748098,0.0001361223,0.002787783,0.3140782,0.000712363,0.0008876813,0.0185502,0.07760064,0.0001036145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6933764,0.007045568,0.002644758,0.1869667,0.0007466857,0.0001203663,0.0004613401,0.00004523799,0.1085928],"genre_scores_gemma":[0.987314,0.00525088,0.001632133,0.003152318,0.00009512914,0.00004819627,0.0001016568,0.000009407579,0.002396255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04766635,"threshold_uncertainty_score":0.09477776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284800790263898,"score_gpt":0.3324489378033444,"score_spread":0.2896009299007054,"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."}}