{"id":"W4384941137","doi":"10.30770/2572-1852-109.2.13","title":"FSMB Census of Licensed Physicians in the United States, 2022","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Regulation","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Workforce; Population; Quarter (Canadian coin); Telehealth; Pandemic; Health care; Population ageing; Medicine; Aging in the American workforce; Business; Family medicine; Coronavirus disease 2019 (COVID-19); Geography; Political science; Telemedicine; Environmental health; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00577423,0.000031446,0.0001099723,0.000176329,0.00008035936,0.00001231461,0.0003734038,0.00007292153,0.0001588416],"category_scores_gemma":[0.001198176,0.00002153153,0.0000461549,0.001122031,0.0002098954,0.00006996854,0.00001983698,0.0002160798,0.000003595462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004273916,"about_ca_system_score_gemma":0.0001188672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005773025,"about_ca_topic_score_gemma":0.0002701392,"domain_scores_codex":[0.9966366,0.0003296925,0.0002342359,0.00003843957,0.00264414,0.0001169319],"domain_scores_gemma":[0.9991183,0.00041255,0.0001900346,0.00005449035,0.0001607582,0.00006385097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002831651,0.0004304215,0.009051987,0.00007917821,0.0000966388,0.0004349257,0.2296616,0.002604373,0.0003056094,0.05348366,0.5356045,0.1679639],"study_design_scores_gemma":[0.002511781,0.0003400514,0.2303108,0.0006737931,0.00008398425,0.00001036847,0.3323318,0.006105935,0.0000581152,0.01634027,0.4111036,0.0001295026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425097,0.00005712592,0.0001558949,0.05566963,0.0004170662,0.00005939833,0.000002996081,0.000007481681,0.001120693],"genre_scores_gemma":[0.9977863,0.0006996313,0.000014823,0.0008918457,0.0004002083,2.767613e-7,0.00002020187,0.000002121481,0.0001846144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2212588,"threshold_uncertainty_score":0.2001244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956226591183554,"score_gpt":0.3414736879033232,"score_spread":0.3019114219914876,"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."}}