{"id":"W4413165211","doi":"10.2139/ssrn.5381914","title":"Optimal Recruitment of Temporary and Permanent Healthcare Workers in Highly Uncertain Environments: A Long-Term Scenario","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Term (time); Business; Health care; Risk analysis (engineering); Economics; Economic growth; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003733206,0.0003798312,0.0007014661,0.0004973258,0.0006154461,0.00002961062,0.0003243825,0.0007278465,0.0000299743],"category_scores_gemma":[0.00008266132,0.0003563498,0.0001214639,0.0002300489,0.0000785382,0.0001249806,0.0003928029,0.007933707,0.000005534043],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005815648,"about_ca_system_score_gemma":0.02168166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004431804,"about_ca_topic_score_gemma":0.00866292,"domain_scores_codex":[0.9938619,0.001460253,0.001601432,0.0005735674,0.0004083985,0.002094481],"domain_scores_gemma":[0.9982437,0.0001606828,0.0007971579,0.0004416991,0.000137104,0.0002195786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004984203,0.000376187,0.9274461,0.001686977,0.0003944333,0.00003314155,0.005543914,0.03426752,0.0000214947,0.01018884,0.0001095576,0.01943347],"study_design_scores_gemma":[0.02750138,0.006238347,0.6746162,0.06547263,0.0009841801,0.00046407,0.1328932,0.03490387,0.00007560188,0.04268036,0.007971232,0.006198845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540111,0.01835566,0.007893784,0.01486638,0.0009373812,0.003575367,0.00007709065,0.00003183121,0.0002513803],"genre_scores_gemma":[0.9316929,0.06023959,0.002423234,0.0004763797,0.0002780519,0.000405504,0.0003250398,0.00004788088,0.00411139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2528298,"threshold_uncertainty_score":0.9998888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07283108942028878,"score_gpt":0.404446828354021,"score_spread":0.3316157389337323,"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."}}