{"id":"W4297509452","doi":"10.1016/j.resuscitation.2022.07.007","title":"Are three criteria enough to determine who benefits from extracorporeal cardiopulmonary resuscitation?","year":2022,"lang":"en","type":"letter","venue":"Resuscitation","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Extracorporeal cardiopulmonary resuscitation; Cardiopulmonary resuscitation; Extracorporeal; Resuscitation; Intensive care medicine; Cardiopulmonary bypass; Emergency medicine; Anesthesia; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005955275,0.0008269039,0.001390611,0.001027302,0.0005175298,0.0002091938,0.0004125857,0.0009825228,0.0003753795],"category_scores_gemma":[0.0007820443,0.0008568191,0.0007427039,0.001032363,0.0001214262,0.0003617479,0.0002345037,0.001960503,0.0002324824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000769196,"about_ca_system_score_gemma":0.0002967247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007008633,"about_ca_topic_score_gemma":0.0002664114,"domain_scores_codex":[0.9937953,0.0004141488,0.001190405,0.001582699,0.002180919,0.0008364859],"domain_scores_gemma":[0.9958389,0.0008271438,0.0009863212,0.001306589,0.0006975793,0.0003434191],"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":[0.001238769,0.00008295825,0.005758801,0.0005523756,0.0004508241,0.002788817,0.00106089,0.0003078103,0.0009727777,0.00006700615,0.9766692,0.01004976],"study_design_scores_gemma":[0.001434294,0.0002879574,0.43967,0.001017935,0.0007858161,0.00003113197,0.0003451585,0.0003159388,0.00006368246,0.001261323,0.5538596,0.0009271449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2489612,0.002351679,0.0005496334,0.7129385,0.01711038,0.004714756,0.005350418,0.0006733114,0.007350078],"genre_scores_gemma":[0.2282846,0.0005286186,0.01132089,0.6116523,0.06681517,0.002891191,0.07256268,0.001174398,0.004770254],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4339112,"threshold_uncertainty_score":0.9993883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575411102635002,"score_gpt":0.2875566205747749,"score_spread":0.2518025095484249,"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."}}