{"id":"W4412525187","doi":"10.1080/10903127.2025.2536222","title":"Gender and Pay Gaps in Paramedic Services Leadership in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Toronto","funders":"Department of Health Services, University of Washington","keywords":"Medicine; Nursing; Emergency medical services; Medical emergency","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000243415,0.0001030108,0.000141116,0.0000732077,0.0001657841,0.00001736601,0.0002254789,0.00009919291,0.0006578645],"category_scores_gemma":[0.00003711284,0.0001018976,0.00002947858,0.0003032645,0.00005663782,0.0001843653,0.00007925057,0.0002456714,0.000002741064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006136894,"about_ca_system_score_gemma":0.001184068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971393,"about_ca_topic_score_gemma":0.9998701,"domain_scores_codex":[0.9987577,0.0001240419,0.0002027691,0.0002672432,0.0002751023,0.0003731094],"domain_scores_gemma":[0.9996858,0.00002287493,0.00003393148,0.0001162488,0.00005521376,0.00008591211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004878992,0.00001644202,0.8777118,0.0001576088,0.000007538804,0.000007672756,0.1193113,0.00001044019,7.90174e-7,0.001537465,0.0007765447,0.0004575044],"study_design_scores_gemma":[0.0001604787,0.000007697,0.7552265,0.00003261424,0.000006173389,3.072494e-8,0.2356744,0.000003171945,0.000004589715,0.001128013,0.00764806,0.0001082312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357896,0.002848276,0.000001572345,0.001108607,0.0009617924,0.0002130946,0.000009804715,0.00001577069,0.05905141],"genre_scores_gemma":[0.9981753,0.0001856565,0.00001368007,0.0002984955,0.00001968237,0.000009832213,0.00001324591,0.000002819036,0.001281252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1224853,"threshold_uncertainty_score":0.7203155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07934365288443009,"score_gpt":0.2707100834711531,"score_spread":0.191366430586723,"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."}}