{"id":"W4390083051","doi":"10.1093/geroni/igad104.1031","title":"OVERVIEW OF THE NEBRASKA GERIATRIC BEHAVIORAL HEALTH WORKFORCE SURVEY","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Mental health; Quarter (Canadian coin); Reimbursement; Medicine; Census; Gerontology; Geriatrics; Population; Health care; Environmental health; Psychiatry; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001850976,0.0005361486,0.0004161016,0.004574305,0.000880233,0.0009248705,0.0009974032,0.0004450264,0.006930124],"category_scores_gemma":[0.003939332,0.0003805435,0.000410336,0.005256165,0.000200202,0.0008946681,0.001109388,0.0007781753,0.003094841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002370283,"about_ca_system_score_gemma":0.004170831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1179176,"about_ca_topic_score_gemma":0.1779992,"domain_scores_codex":[0.9981066,0.0003255236,0.0003425709,0.0002488167,0.0006861743,0.000290287],"domain_scores_gemma":[0.9971847,0.0002112022,0.0005355554,0.00008081409,0.001616317,0.0003714117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001237735,0.0006137319,0.620849,0.0008296542,0.0001041838,0.0001584942,0.001107248,0.0003063991,0.0006807612,0.0007257641,0.3045466,0.06995441],"study_design_scores_gemma":[0.00003669954,0.0001218588,0.9033242,0.0002622023,0.00001719817,0.0001031849,0.001450481,0.0002304137,0.00009587511,0.0001299279,0.09419712,0.00003082393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2233885,0.002926993,0.002826425,0.004212955,0.0007446666,0.008529059,0.7022029,0.0004465211,0.05472204],"genre_scores_gemma":[0.3188543,0.00639715,0.01227865,0.003223912,0.0004667026,0.01932071,0.6167576,0.0001356145,0.02256529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1179176,"threshold_uncertainty_score":0.2344624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1992696200316425,"score_gpt":0.460750860447541,"score_spread":0.2614812404158986,"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."}}