{"id":"W1583788972","doi":"10.1111/j.1475-6773.2010.01114.x","title":"Implications of the California Nurse Staffing Mandate for Other States","year":2010,"lang":"en","type":"article","venue":"Health Services Research","topic":"Nursing education and management","field":"Nursing","cited_by":397,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Institutes of Health; National Institute of Nursing Research; University of Pennsylvania","keywords":"Staffing; Mandate; Nursing; MEDLINE; Medicine; Business; 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":[0.008115898,0.0001627557,0.0003106206,0.0009856082,0.001282006,0.001215915,0.001048658,0.0004701367,0.001779726],"category_scores_gemma":[0.02290875,0.0002168081,0.0004958527,0.001027764,0.0006139933,0.0005676324,0.000947922,0.0006499906,0.00008616179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003510381,"about_ca_system_score_gemma":0.00506141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1570512,"about_ca_topic_score_gemma":0.226579,"domain_scores_codex":[0.9954205,0.001313655,0.0004784616,0.0007915411,0.001226065,0.0007697468],"domain_scores_gemma":[0.9808842,0.007251841,0.005500603,0.0009654306,0.003747976,0.001649866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006053897,0.0003098336,0.9363115,0.0003517287,0.000182598,0.0001797139,0.001829697,0.002429244,0.0006321045,0.007834161,0.01829404,0.03103987],"study_design_scores_gemma":[0.00003057579,0.00008716947,0.9917412,0.0001354371,0.00005044357,0.00004667323,0.0006446287,0.0005841086,0.00027655,0.0004020767,0.005984327,0.00001691744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623446,0.001828539,0.0009167097,0.009747308,0.0003287286,0.00007525106,0.003396384,0.00007186521,0.02129067],"genre_scores_gemma":[0.9951015,0.0003309572,0.0006517504,0.001810418,0.0001049584,0.00008109876,0.001157744,0.00001277345,0.0007487991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1570512,"threshold_uncertainty_score":0.3122742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655282987007232,"score_gpt":0.461315739134133,"score_spread":0.4147629092640607,"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."}}