{"id":"W2900781812","doi":"","title":"Further training and staffing and its relation to quality of patient care in Canada, medication errors, fall injury, infection and complaints","year":2018,"lang":"en","type":"article","venue":"Journal of Nursing & Care","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Staffing; Training (meteorology); Quality (philosophy); Relation (database); Medicine; Patient care; Patient safety; Medical emergency; Nursing; Health care; Computer science; Data mining; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001858747,0.0001770467,0.0003406603,0.001364044,0.004097093,0.002065182,0.001818794,0.001074204,0.005116201],"category_scores_gemma":[0.024083,0.0003212904,0.0006670738,0.002720927,0.001653648,0.0006407874,0.001320572,0.002246339,0.0002452439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04385174,"about_ca_system_score_gemma":0.09262949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839171,"about_ca_topic_score_gemma":0.9885744,"domain_scores_codex":[0.9970354,0.0004229174,0.0002280922,0.0001520961,0.000940496,0.001221061],"domain_scores_gemma":[0.9659337,0.004563966,0.006363724,0.0005934862,0.01183092,0.01071419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001545145,0.0002424946,0.9801416,0.00005736005,0.00005076893,0.0001016774,0.002077231,0.0004914668,0.00009480154,0.0003893218,0.002204421,0.0139943],"study_design_scores_gemma":[0.000004735905,0.00003826414,0.9965083,0.00005154225,0.00001269728,0.00002436702,0.002393445,0.0002739646,0.00003003384,0.00006106777,0.0005919312,0.000009603174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920867,0.0007823405,0.00008053569,0.003018451,0.0000515026,0.00002625791,0.0007299769,0.00001681635,0.00320749],"genre_scores_gemma":[0.9977171,0.0003357439,0.0001699248,0.0002018828,0.00001828492,0.000008630812,0.0002133244,0.000005568534,0.001329516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04385174,"threshold_uncertainty_score":0.3181682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.090505421647559,"score_gpt":0.4339792384506408,"score_spread":0.3434738168030818,"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."}}