{"id":"W7011388095","doi":"","title":"Medicare and the Non-Insured Health Benefits and Interim Federal Health Programs: A procedural justice analysis","year":2017,"lang":"en","type":"article","venue":"ePrints Soton (University of Southampton)","topic":"Public Health Policies and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Interim; Procedural justice; Health care; Compliance (psychology); Economic Justice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01580101,0.0005346556,0.0007690444,0.004138203,0.01170032,0.01193533,0.002793617,0.006905329,0.003220589],"category_scores_gemma":[0.03154197,0.0004410607,0.001646277,0.005230355,0.01458046,0.005190491,0.00382085,0.007614094,0.0001815763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08817475,"about_ca_system_score_gemma":0.1568807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9222122,"about_ca_topic_score_gemma":0.9272416,"domain_scores_codex":[0.9670234,0.007671072,0.0006572265,0.001351775,0.01518551,0.008111015],"domain_scores_gemma":[0.9813581,0.008925189,0.001422518,0.0009032501,0.006256932,0.001133922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006030938,0.000007043502,0.0008842994,0.00001395858,0.000008499708,0.00003151709,0.0007259762,0.0004790584,0.00001752379,0.9921046,0.003432286,0.002289093],"study_design_scores_gemma":[0.00005320478,0.00006673095,0.02729136,0.0005931623,0.0002733967,0.0001231844,0.006152473,0.009967377,0.0006496875,0.7849658,0.1696644,0.0001993739],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09365926,0.0141567,0.03703797,0.2467518,0.0007030226,0.0005271963,0.001473373,0.0001160322,0.6055747],"genre_scores_gemma":[0.9398392,0.003403001,0.01132092,0.01873396,0.0004272321,0.0002322918,0.0002787765,0.00004996987,0.02571465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9222122,"threshold_uncertainty_score":0.6397555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0657095077684777,"score_gpt":0.3928533945084962,"score_spread":0.3271438867400185,"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."}}