{"id":"W2064878631","doi":"10.1177/1091592305277054","title":"Obstetric Staffing Challenges","year":2005,"lang":"en","type":"article","venue":"AWHONN Lifelines","topic":"Healthcare Systems and Challenges","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Boniface Hospital","funders":"","keywords":"Staffing; Medicine; Obstetric nursing; MEDLINE; Medical emergency; Business; Nursing; Political 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":[0.01096366,0.0004259739,0.0003970605,0.001380801,0.00813264,0.007242511,0.002285787,0.005358236,0.05922135],"category_scores_gemma":[0.0254715,0.0005488916,0.0005594539,0.002005087,0.002342375,0.003722648,0.006083447,0.00562388,0.005953244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009008897,"about_ca_system_score_gemma":0.03411005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02328039,"about_ca_topic_score_gemma":0.06902979,"domain_scores_codex":[0.9886868,0.00306263,0.0007810522,0.0008035938,0.002961196,0.003704617],"domain_scores_gemma":[0.9585661,0.007402372,0.003154206,0.0007693855,0.007514964,0.02259296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009618468,0.0002797822,0.02705731,0.0006896582,0.00004058153,0.003298225,0.01156503,0.000771497,0.0005444672,0.04048926,0.678868,0.2363],"study_design_scores_gemma":[0.00002253734,0.0001630611,0.0220462,0.001735853,0.00001675236,0.00396714,0.05232387,0.0004772632,0.0001686169,0.01336219,0.9056551,0.00006132311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0328864,0.0119996,0.001152772,0.8142819,0.009591893,0.00005690058,0.0003821898,0.0001071074,0.1295414],"genre_scores_gemma":[0.523945,0.03768978,0.008831589,0.257816,0.02164465,0.0004100464,0.0008942807,0.0002688265,0.1484998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05922135,"threshold_uncertainty_score":0.1981151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2138116232642792,"score_gpt":0.4666779860953685,"score_spread":0.2528663628310893,"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."}}