{"id":"W1970074648","doi":"10.1016/j.resuscitation.2014.05.034","title":"Creating a drowning chain of survival","year":2014,"lang":"en","type":"article","venue":"Resuscitation","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Chain of survival; Medicine; Psychological intervention; Chain (unit); Medical emergency; Poison control; Injury prevention; Life saving; Suicide prevention; Near Drowning; Occupational safety and health; Process (computing); Intensive care medicine; Cardiopulmonary resuscitation; Basic life support; Nursing; Resuscitation; Surgery; Pathology; Computer science","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":[0.01250405,0.0007082893,0.0003705249,0.004493915,0.006637597,0.01140064,0.002440241,0.003150524,0.03762288],"category_scores_gemma":[0.05128723,0.0009206469,0.0007548087,0.002266084,0.005667908,0.01348348,0.01614371,0.00564942,0.008159435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004188566,"about_ca_system_score_gemma":0.01757439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009579302,"about_ca_topic_score_gemma":0.01226165,"domain_scores_codex":[0.9924639,0.003808069,0.0004539949,0.0008940299,0.001361222,0.001018776],"domain_scores_gemma":[0.966589,0.01064024,0.002795418,0.003913966,0.009140463,0.006920995],"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":[0.0003066097,0.0006473276,0.0529508,0.0005929102,0.0001125251,0.001294877,0.02155489,0.009569811,0.001744468,0.3487592,0.0735831,0.4888836],"study_design_scores_gemma":[0.000114011,0.001009867,0.0220634,0.003280893,0.0001721683,0.001031103,0.03776892,0.01545543,0.003888614,0.4607992,0.4540752,0.0003412041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1635426,0.002834222,0.3967617,0.1516297,0.004941396,0.001462165,0.0007453011,0.003248387,0.2748344],"genre_scores_gemma":[0.7922708,0.003855953,0.1606742,0.005722987,0.001150171,0.000634637,0.0007806592,0.0007181325,0.03419248],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03762288,"threshold_uncertainty_score":0.1258611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787222464468029,"score_gpt":0.3342155132712328,"score_spread":0.3063432886265525,"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."}}