{"id":"W2952874730","doi":"10.1002/nop2.321","title":"Nurse staffing models in acute care: A descriptive study","year":2019,"lang":"en","type":"article","venue":"Nursing Open","topic":"Nursing education and management","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"","keywords":"Overtime; Staffing; Nursing; Agency (philosophy); Acute care; Descriptive statistics; Medicine; Health care; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002995722,0.000215847,0.0003256814,0.0002805885,0.0001415204,0.0004070135,0.0006699102,0.00006379672,0.00009749851],"category_scores_gemma":[0.00001336274,0.0002296982,0.00004716708,0.0004566411,0.0000436955,0.0008207512,0.00006998872,0.0002399508,0.0001746295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282173,"about_ca_system_score_gemma":0.00007548298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009699783,"about_ca_topic_score_gemma":0.0001435641,"domain_scores_codex":[0.998189,0.0001800454,0.000307789,0.0005717557,0.0002985815,0.0004528414],"domain_scores_gemma":[0.9990865,0.0000312564,0.0001066453,0.0005918418,0.00008878262,0.00009496995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001862481,0.005442916,0.009475345,0.00005930559,0.0001263928,0.00003114518,0.6517439,0.003320522,0.0009514088,0.004069298,0.04822581,0.2746915],"study_design_scores_gemma":[0.01274337,0.002881065,0.07197148,0.00285689,0.000469904,0.00001715447,0.8744851,0.007812737,0.001371322,0.008293755,0.01556752,0.001529695],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.871788,0.0001238148,0.0001074918,0.002777983,0.01112614,0.003924327,0.000004599817,0.0001160663,0.1100316],"genre_scores_gemma":[0.9919847,0.000001191166,0.001412415,0.0004108393,0.00005254277,0.00008519068,0.00001684412,0.00005350377,0.005982759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2731618,"threshold_uncertainty_score":0.9366819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03986042862026175,"score_gpt":0.3551279413444476,"score_spread":0.3152675127241859,"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."}}