{"id":"W3165991128","doi":"10.1186/s13561-021-00317-z","title":"Distributed education enables distributed economic impact: the economic contribution of the Northern Ontario School of Medicine to communities in Canada","year":2021,"lang":"en","type":"article","venue":"Health Economics Review","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Laurentian University","funders":"University of Waterloo; Ontario Ministry of Health and Long-Term Care","keywords":"Economic impact analysis; Population; Disadvantaged; Economic growth; Salary; Reimbursement; Economic evaluation; Socioeconomics; Geography; Political science; Economics; Demography; Health care; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002025955,0.0002675391,0.001340826,0.00005324828,0.0004532556,0.000005990534,0.000604989,0.000100697,0.001586453],"category_scores_gemma":[0.000311765,0.0001852865,0.0001258726,0.0002305489,0.0001187501,0.0001001704,0.0002369275,0.0006471357,0.00005816868],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.04144469,"about_ca_system_score_gemma":0.1026313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953947,"about_ca_topic_score_gemma":0.9998686,"domain_scores_codex":[0.9948099,0.001376605,0.002737888,0.0002633473,0.00009824018,0.0007140256],"domain_scores_gemma":[0.9954682,0.0008655562,0.001816166,0.001181918,0.0002989127,0.0003692272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000858607,0.00005251094,0.8372577,0.005210111,0.00008216561,3.5859e-7,0.001834819,0.007159748,7.121071e-7,0.004685865,0.1374209,0.006209202],"study_design_scores_gemma":[0.0009087165,0.00007805372,0.3016958,0.01621099,0.00005153478,0.000008039959,0.007153455,0.0001982392,0.000007582395,0.0005709383,0.6728948,0.0002217893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887907,0.05668291,0.00001328063,0.04685381,0.001650822,0.003959937,0.002215973,0.00001200971,0.0007042163],"genre_scores_gemma":[0.9296112,0.05646427,0.00002157505,0.01151647,0.0001343898,0.0003204691,0.001756566,0.00002711423,0.0001479775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5355619,"threshold_uncertainty_score":0.9993262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03814123224591177,"score_gpt":0.3847392007281928,"score_spread":0.3465979684822811,"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."}}