{"id":"W4380290530","doi":"10.7759/cureus.38782","title":"Relationship Between Residency Match Distance From Medical School and Virtual Application, School Characteristics, and Specialty Competitiveness","year":2023,"lang":"en","type":"article","venue":"Cureus","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Specialty; Medicine; Odds; Census; Pandemic; Demography; Family medicine; Logistic regression; Ordered logit; Odds ratio; Medical school; Coronavirus disease 2019 (COVID-19); Medical education; Statistics; Environmental health; Sociology; Mathematics","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":[0.001425991,0.0001788384,0.0001889165,0.0009318943,0.0006511736,0.001002589,0.0005303647,0.0003037187,0.00602429],"category_scores_gemma":[0.01331487,0.0001496291,0.0003470736,0.001470489,0.0006571785,0.0006821085,0.001553823,0.0006930167,0.000494083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979509,"about_ca_system_score_gemma":0.001586544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01766649,"about_ca_topic_score_gemma":0.02180245,"domain_scores_codex":[0.9987296,0.000324461,0.0001392498,0.0002473634,0.0003123952,0.000246855],"domain_scores_gemma":[0.9881852,0.002438181,0.005591899,0.0004195415,0.0007434515,0.002621796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001656789,0.00001697823,0.9983345,0.000005486933,0.00001153118,0.000007631341,0.00007396228,0.00005994352,0.00002003262,0.00004676565,0.0001702451,0.001236469],"study_design_scores_gemma":[0.000002012009,0.00004503194,0.9982508,0.00001283866,0.000007220016,0.00004221702,0.0007344255,0.0003659929,0.00004251775,0.00007072085,0.000422929,0.000003165733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979724,0.00009611574,0.0002336253,0.0002823025,0.00001260059,0.000006481237,0.0005207721,0.00000767989,0.0008679311],"genre_scores_gemma":[0.999253,0.00003963677,0.0001652599,0.00003231735,0.000009836383,0.000007477911,0.000348785,0.000002598926,0.0001410533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01766649,"threshold_uncertainty_score":0.03512734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288207713601372,"score_gpt":0.3142834110819058,"score_spread":0.2814013339458921,"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."}}