{"id":"W1585799005","doi":"10.1002/9781444300307.ch24","title":"Advances in Cardiopulmonary Rescuscitation","year":2008,"lang":"en","type":"other","venue":"","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cardiopulmonary resuscitation; Defibrillation; Perspective (graphical); Hypothermia; Medicine; Pharmacotherapy; Intensive care medicine; Internal medicine; Resuscitation; Anesthesia; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002256028,0.0007495279,0.0004206979,0.003251306,0.002215588,0.003558921,0.001177346,0.00148143,0.04861436],"category_scores_gemma":[0.002646632,0.0002454205,0.0004537403,0.004939124,0.002667119,0.002108381,0.001842803,0.003202062,0.007059388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01944244,"about_ca_system_score_gemma":0.03909265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4903517,"about_ca_topic_score_gemma":0.6937078,"domain_scores_codex":[0.9989114,0.0001073843,0.00005681331,0.0001000834,0.0005804925,0.0002438985],"domain_scores_gemma":[0.9979373,0.0002806396,0.00009463754,0.00005709233,0.001205797,0.0004244986],"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":[0.00005041015,0.00008852904,0.0008755811,0.001825778,0.000009316567,0.0004279448,0.0006263102,0.0003700768,0.0005131455,0.05556569,0.3490082,0.5906391],"study_design_scores_gemma":[0.000002106489,0.000008892871,0.001003197,0.0005157449,0.00000295681,0.0001899937,0.0001739544,0.00002464449,0.00008059359,0.0007688784,0.9972229,0.000006078922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002471033,0.5289017,0.001595568,0.05394037,0.01225819,0.0000572292,0.000569584,0.0001900322,0.4000162],"genre_scores_gemma":[0.0190868,0.8378343,0.002534748,0.009743905,0.006599727,0.00002591823,0.0004685802,0.0001130875,0.123593],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4903517,"threshold_uncertainty_score":0.9749951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008200218472338863,"score_gpt":0.2726228969377315,"score_spread":0.2644226784653926,"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."}}