{"id":"W2794397762","doi":"10.1590/1413-81232018233.13762016","title":"Impact of training in Advanced Cardiac Life Support (ACLS) in the professional career and work environment","year":2018,"lang":"en","type":"article","venue":"Ciência & Saúde Coletiva","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Advanced cardiac life support; Graduation (instrument); Medicine; Earnings; Certification; Population; Medical education; Psychology; Family medicine; Gerontology; Cardiopulmonary resuscitation; Emergency medicine; Management; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0004964895,0.0001219865,0.0003202441,0.0001012771,0.00004102151,0.000005615147,0.00006021323,0.00008456903,0.00008739401],"category_scores_gemma":[0.0001585903,0.00007961093,0.0001157727,0.0002301086,0.0001750188,0.00004794343,0.00003828084,0.0002016029,0.00001054081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072552,"about_ca_system_score_gemma":0.0002644037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003076194,"about_ca_topic_score_gemma":0.00001282469,"domain_scores_codex":[0.998893,0.000120589,0.0002564218,0.0001990018,0.0003008408,0.0002301657],"domain_scores_gemma":[0.9994618,0.0001467219,0.00007360526,0.000193736,0.00003331182,0.00009085423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005273244,0.00007862761,0.9643347,0.00002749711,0.0000393361,0.00001750989,0.01456992,0.00002217676,0.004018734,0.00003308272,0.001182142,0.01514893],"study_design_scores_gemma":[0.001040408,0.0001971893,0.9929639,0.000204679,0.00002793372,0.000001633363,0.002203689,0.000008302579,0.0001232818,0.00003392195,0.00310742,0.00008761734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960458,0.0002571935,0.000009992627,0.000471204,0.0003751289,0.0005936197,0.00001122841,0.000006867163,0.002229023],"genre_scores_gemma":[0.9992557,0.00004915072,0.00009980013,0.0001482658,0.0002856604,0.00005605643,0.00002478807,0.00001297382,0.00006757527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02862921,"threshold_uncertainty_score":0.3246439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191624176052929,"score_gpt":0.2956136797295956,"score_spread":0.2764512621243027,"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."}}