{"id":"W2789302404","doi":"10.1017/cem.2018.28","title":"Competency in Acute Resuscitation Through Successive Simulation (CARTSS): a mentor based, near-peer learning initiative","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Action (physics); Resuscitation; Content (measure theory); Medical education; Medical emergency; Emergency 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01622762,0.0005883389,0.0003424083,0.0008394576,0.003798293,0.003759378,0.003738875,0.001861191,0.008370307],"category_scores_gemma":[0.02041496,0.0002963174,0.0006236322,0.0004099968,0.001428541,0.002547633,0.01243313,0.004265564,0.002188026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003267392,"about_ca_system_score_gemma":0.03325446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004202453,"about_ca_topic_score_gemma":0.021445,"domain_scores_codex":[0.9908031,0.004947226,0.0002543769,0.0006356327,0.002315391,0.001044242],"domain_scores_gemma":[0.9596352,0.004495347,0.001016554,0.001300402,0.003916711,0.02963576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006095066,0.05242884,0.02559034,0.0004819107,0.0001001128,0.00088525,0.02216378,0.001434864,0.003887819,0.004778587,0.07004197,0.8175971],"study_design_scores_gemma":[0.003659911,0.03789725,0.1849082,0.00283212,0.0004617387,0.004492288,0.09559445,0.02964582,0.0240699,0.03191965,0.5837278,0.0007908415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8291318,0.0007853973,0.02423733,0.03891305,0.00218767,0.006450396,0.0003248052,0.001572897,0.09639677],"genre_scores_gemma":[0.8431944,0.0014656,0.1077821,0.006675966,0.0008594399,0.003713089,0.0007569576,0.0003177983,0.03523456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01622762,"threshold_uncertainty_score":0.08582085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06816334154907551,"score_gpt":0.3774785338840234,"score_spread":0.3093151923349479,"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."}}