{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002878366,0.001496939,0.002580206,0.0008047274,0.001663731,0.003034801,0.002916384,0.00684217,0.006842796],"category_scores_gemma":[0.00699711,0.001545093,0.001287153,0.001122332,0.001465129,0.002310895,0.002492085,0.002841916,0.0008819767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251426,"about_ca_system_score_gemma":0.002562229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0270979,"about_ca_topic_score_gemma":0.01866581,"domain_scores_codex":[0.998061,0.0006122926,0.00004616947,0.0003007101,0.0001157775,0.0008640734],"domain_scores_gemma":[0.994054,0.00314796,0.0005056849,0.0001490076,0.000381808,0.001761633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001179857,0.0001895386,0.002794616,0.00007443889,0.00004852037,0.0004503944,0.00009643045,0.9853816,0.0005134114,0.003576549,0.002386135,0.003308439],"study_design_scores_gemma":[0.0001098695,0.0002497527,0.002987342,0.00001796963,0.000026311,0.00008642442,0.0004236579,0.9904908,0.0001669935,0.004879215,0.0005257792,0.00003585489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9025226,0.001427199,0.07285029,0.006979838,0.0002888501,0.0003552699,0.003518942,0.0002410526,0.01181599],"genre_scores_gemma":[0.990027,0.0002225199,0.004493044,0.0001303594,0.00005746329,0.00008971955,0.0005128651,0.00003407277,0.004432799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0270979,"threshold_uncertainty_score":0.05388039,"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."}}