{"id":"W2275957667","doi":"10.1016/j.resuscitation.2015.10.008","title":"Advanced Google life support: Leveraging search results to improve bystander out-of-hospital cardiac arrest response","year":2015,"lang":"en","type":"letter","venue":"Resuscitation","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Alexandra Hospital","funders":"","keywords":"Medicine; Phone; Search engine; World Wide Web; Graph; Information retrieval; Medical emergency; 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":[0.003806745,0.0003619154,0.0005913352,0.001450585,0.003414714,0.004579349,0.001261786,0.01755101,0.0152488],"category_scores_gemma":[0.03468329,0.0003589523,0.000713092,0.0008452273,0.001394809,0.004208268,0.00249936,0.008513162,0.008176502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002690624,"about_ca_system_score_gemma":0.005561105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01988832,"about_ca_topic_score_gemma":0.05704262,"domain_scores_codex":[0.9967521,0.0008627646,0.0005553072,0.0002230336,0.001084319,0.0005224455],"domain_scores_gemma":[0.9758957,0.01524345,0.001529875,0.0005197616,0.003079395,0.003731802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005678795,0.0001014686,0.005819665,0.00008772025,0.00002520293,0.0016865,0.0007993326,0.00007642565,0.0004943237,0.001554256,0.9479497,0.04134868],"study_design_scores_gemma":[0.0001821661,0.0004145808,0.01972883,0.000870745,0.0001200156,0.002524772,0.007217636,0.003147367,0.001102206,0.007433324,0.9571016,0.0001567198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005269305,0.0005479524,0.0003738785,0.9714172,0.002643452,0.00005101541,0.0004005605,0.0002766412,0.01902001],"genre_scores_gemma":[0.07336961,0.002099993,0.002405689,0.872036,0.01408469,0.0001568106,0.0004840473,0.0001413234,0.03522189],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01988832,"threshold_uncertainty_score":0.05101234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06948908913763406,"score_gpt":0.4261840098082565,"score_spread":0.3566949206706225,"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."}}