{"id":"W4405842446","doi":"10.1016/j.healthpol.2024.105240","title":"The role of socio-economic determinants in the interregional allocation of healthcare resources: Some insights from the 2023 reform in the Italian NHS","year":2024,"lang":"en","type":"article","venue":"Health Policy","topic":"Global Health Care Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library of Parliament","funders":"","keywords":"Health care; Public economics; Business; Economics; Economic growth; Regional science; Development economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003502867,0.0002323294,0.000444942,0.0002049934,0.0009099666,0.00002737951,0.001205056,0.000250833,0.00001401471],"category_scores_gemma":[0.0002409727,0.0001064778,0.0001147957,0.0006097709,0.0002954769,0.0001677557,0.0001748375,0.001222223,0.0001700111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207036,"about_ca_system_score_gemma":0.003139444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4343615,"about_ca_topic_score_gemma":0.309213,"domain_scores_codex":[0.9932212,0.00334564,0.001717553,0.0003548003,0.000482942,0.0008778535],"domain_scores_gemma":[0.9947196,0.003513192,0.000623146,0.000937985,0.00008533267,0.0001207035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002219682,0.0001093887,0.01631341,0.001607486,0.0000320127,0.000007653101,0.576618,0.00001090147,0.000008193463,0.3607792,0.02277288,0.0215189],"study_design_scores_gemma":[0.0005612456,0.0003187671,0.2376449,0.002935268,0.00001017777,0.000007103245,0.3068562,0.0006092911,0.000006800482,0.06436157,0.3865186,0.0001699952],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6511319,0.02001467,5.61206e-7,0.3241845,0.0006995918,0.002033839,0.0002405992,0.00002891321,0.001665387],"genre_scores_gemma":[0.9770414,0.002433758,0.000008805003,0.01882912,0.001136972,0.0003618224,0.00003602038,0.00002986186,0.000122228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3637457,"threshold_uncertainty_score":0.703392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05636794357332975,"score_gpt":0.4623880127966711,"score_spread":0.4060200692233413,"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."}}