{"id":"W3185798185","doi":"10.29173/cjen149","title":"The clinical effects of CPR meter on chest compression quality: a QI project","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Nursing","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Metre; Quality (philosophy); Compression (physics); Internal medicine; Environmental science; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.07387309,0.0006787462,0.00059503,0.001644647,0.002495698,0.002260616,0.001532288,0.0008264501,0.004911081],"category_scores_gemma":[0.06749246,0.0005863128,0.0007314291,0.001064842,0.002472805,0.002067694,0.005589148,0.002389518,0.0008325291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005262759,"about_ca_system_score_gemma":0.03146617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003433721,"about_ca_topic_score_gemma":0.003536219,"domain_scores_codex":[0.952356,0.03839688,0.001695655,0.001009618,0.005321862,0.001220046],"domain_scores_gemma":[0.8967147,0.0409398,0.006039446,0.00587842,0.03009644,0.02033114],"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":[0.003945882,0.01938822,0.06184173,0.001386169,0.0001820068,0.0001775307,0.008865497,0.00181999,0.003779853,0.005517366,0.03213773,0.860958],"study_design_scores_gemma":[0.01491685,0.1910873,0.5717548,0.004243595,0.001117623,0.001630766,0.02281501,0.03266786,0.03441507,0.01178626,0.1130004,0.000564391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621592,0.002163516,0.02968738,0.03753921,0.0005365526,0.0356515,0.001807518,0.0007763495,0.02967867],"genre_scores_gemma":[0.8373578,0.001641894,0.1317414,0.003116983,0.0002498179,0.01860274,0.001090611,0.0001573382,0.006041312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07387309,"threshold_uncertainty_score":0.3906829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08506245101784667,"score_gpt":0.4333447346150847,"score_spread":0.348282283597238,"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."}}