{"id":"W4323317005","doi":"10.1111/capa.12514","title":"Reforming Canada's federal health‐care funding arrangements","year":2023,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University","funders":"","keywords":"Order (exchange); Health care; Coronavirus disease 2019 (COVID-19); Pandemic; Public administration; Political science; Business; Economic growth; Public economics; Economics; Finance; Medicine; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005908572,0.0002001232,0.0002502233,0.0003178388,0.00353072,0.00005999211,0.0002570553,0.0001906695,0.0005762689],"category_scores_gemma":[0.0002623449,0.0002198514,0.000035251,0.0009083032,0.00002732007,0.00028122,0.00003948557,0.0004427177,0.0003635095],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.00772114,"about_ca_system_score_gemma":0.03952697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9041222,"about_ca_topic_score_gemma":0.9998366,"domain_scores_codex":[0.9963583,0.0002474107,0.0006849179,0.0003699697,0.000430579,0.001908822],"domain_scores_gemma":[0.9971641,0.00009502794,0.0002569694,0.0003461982,0.0002567598,0.001880962],"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":[0.00002200835,0.000008368175,0.1084038,0.0006561647,0.00002923088,0.000114308,0.002877434,0.000001809581,0.000004559619,0.03022514,0.8300931,0.02756397],"study_design_scores_gemma":[0.0002905624,0.00007216157,0.01386155,0.0001690822,0.000002392918,0.000002750034,0.02806864,0.00006669451,0.000003036286,0.00006591604,0.957206,0.000191228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.547572,0.0005911575,0.00003768407,0.3663726,0.005972631,0.002992638,0.0007028944,0.0007289472,0.0750294],"genre_scores_gemma":[0.9798879,0.00002505325,0.000082849,0.01059869,0.0005201746,0.0001804253,0.00184104,0.00003874152,0.006825153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4323159,"threshold_uncertainty_score":0.9977666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07540076555882627,"score_gpt":0.4160895283568502,"score_spread":0.340688762798024,"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."}}