{"id":"W2035532877","doi":"10.1186/cc8686","title":"Improving team work during bedside rounds: using daily goals and best practices","year":2010,"lang":"en","type":"article","venue":"Critical Care","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Teamwork; Medicine; Patient safety; Key (lock); Health care; Work (physics); Root cause analysis; Process (computing); Health professionals; Medical emergency; Medical education; Nursing; Process management; Computer science","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":[0.03115858,0.001590555,0.001159451,0.003082414,0.004320489,0.007173611,0.00313109,0.002963253,0.001727576],"category_scores_gemma":[0.06305929,0.0008106248,0.0007242361,0.001493348,0.001421002,0.005745246,0.005555918,0.004008022,0.001554943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004890355,"about_ca_system_score_gemma":0.01513453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004015569,"about_ca_topic_score_gemma":0.009163996,"domain_scores_codex":[0.9675421,0.01767645,0.002065183,0.001485246,0.009910487,0.001320638],"domain_scores_gemma":[0.9635163,0.01232126,0.00549045,0.002599469,0.008251249,0.007821328],"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":[0.000223325,0.002875916,0.02890916,0.002079498,0.0001775031,0.0002432398,0.02041301,0.003002544,0.002178734,0.003177644,0.04502843,0.891691],"study_design_scores_gemma":[0.001251227,0.008724838,0.3743338,0.03737723,0.000904871,0.003103613,0.1257083,0.03451471,0.01242128,0.1116709,0.2886482,0.001341003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3573033,0.0216275,0.4079823,0.1316847,0.004208647,0.00595691,0.0006471396,0.005332897,0.06525666],"genre_scores_gemma":[0.4409138,0.008711343,0.5388551,0.004094333,0.0007909593,0.00275394,0.0004483524,0.0003647274,0.003067435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03115858,"threshold_uncertainty_score":0.1647843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1322308524133251,"score_gpt":0.4850291328084202,"score_spread":0.3527982803950951,"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."}}