{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001892364,0.0002804997,0.0005603766,0.0005931199,0.000357437,0.001800147,0.0008412636,0.001038905,0.00284471],"category_scores_gemma":[0.00513595,0.0001694772,0.0009266373,0.0008867143,0.001171703,0.0007071074,0.001219656,0.0005884141,0.0001776569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004614686,"about_ca_system_score_gemma":0.0019762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08479345,"about_ca_topic_score_gemma":0.06248961,"domain_scores_codex":[0.9985464,0.00102683,0.00002560632,0.00008144093,0.00009236063,0.0002273913],"domain_scores_gemma":[0.9986259,0.0007087184,0.0002486654,0.0001370511,0.0001659568,0.000113781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003928959,0.0002557502,0.1369,0.0003838533,0.0002759243,0.001434438,0.001998401,0.4145055,0.000873926,0.4005348,0.01155079,0.0308938],"study_design_scores_gemma":[0.0002209078,0.0004451542,0.3464527,0.0004022091,0.0003234987,0.0003093592,0.00379587,0.4477502,0.000631154,0.1562231,0.04329779,0.0001480661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.877906,0.004325422,0.02238667,0.02732058,0.0002359205,0.0001645734,0.001701291,0.00007497885,0.06588462],"genre_scores_gemma":[0.9948916,0.0005962498,0.002113252,0.0003461941,0.00006183457,0.00003331363,0.0001491405,0.00001479488,0.0017936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08479345,"threshold_uncertainty_score":0.1685998,"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."}}