{"id":"W2004914269","doi":"10.1007/bf03020959","title":"Oyston special selection","year":2000,"lang":"fr","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Selection (genetic algorithm); Computer science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003588499,0.0006134502,0.0005032526,0.001558727,0.001145872,0.001331738,0.0003908669,0.0007512384,0.4292024],"category_scores_gemma":[0.001958463,0.0002111116,0.0004077365,0.0005770106,0.0001929142,0.0006080652,0.00137855,0.0006791299,0.1295373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491803,"about_ca_system_score_gemma":0.00195705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001121368,"about_ca_topic_score_gemma":0.007057236,"domain_scores_codex":[0.9997122,0.00001813914,0.00002329561,0.00003829874,0.0001047943,0.0001034346],"domain_scores_gemma":[0.9974023,0.000102912,0.0001026895,0.0001047508,0.000441598,0.001845692],"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":[0.000291221,0.0000852874,0.003617612,0.0001311958,0.000005737209,0.001768158,0.00004717534,0.00003973312,0.001855244,0.0007913137,0.8290925,0.1622748],"study_design_scores_gemma":[0.00007630416,0.0001156372,0.01040154,0.0001226838,0.000007551915,0.002389908,0.00009843944,0.00007962303,0.0004785809,0.0006834048,0.9855349,0.00001145727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0340443,0.004026316,0.002891957,0.01463437,0.04314714,0.0009020699,0.004278878,0.001768362,0.8943065],"genre_scores_gemma":[0.03982331,0.00221152,0.001439117,0.003535212,0.01047946,0.0002390031,0.002928884,0.0007192253,0.9386244],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4292024,"threshold_uncertainty_score":0.8141735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008253769552687393,"score_gpt":0.2233787555501577,"score_spread":0.2151249859974703,"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."}}