{"id":"W4414564741","doi":"10.58445/rars.3132","title":"Profits Before Patients","year":2025,"lang":"nl","type":"article","venue":"","topic":"Health Services Management and Policy","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Inefficiency; Compromise; Life expectancy; Revenue; Population; Expectancy theory; Population ageing; Healthcare system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006471247,0.0002971389,0.000395837,0.0003682016,0.00107425,0.0000307735,0.0004595417,0.0004624855,0.007884121],"category_scores_gemma":[0.000118972,0.0002553682,0.00009202861,0.0009792779,0.00003967119,0.0001972695,0.0005894708,0.0007594455,0.02077653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472625,"about_ca_system_score_gemma":0.0007242944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002851375,"about_ca_topic_score_gemma":0.00347248,"domain_scores_codex":[0.9965687,0.0005113673,0.0009865289,0.0004424866,0.000285959,0.001204909],"domain_scores_gemma":[0.9983068,0.0001981891,0.0002500151,0.0006435249,0.0003131613,0.0002883085],"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":[0.00004109151,0.0002114735,0.4020079,0.005612132,0.00005643156,8.075345e-7,0.002763596,3.201437e-7,1.321567e-7,0.0964224,0.4709262,0.02195757],"study_design_scores_gemma":[0.001293211,0.0001094771,0.3958,0.0007880914,0.00005234076,6.612168e-9,0.0009737368,0.0002150499,0.000001113894,0.001760899,0.5988673,0.0001388002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1327052,0.0001856988,0.00005663227,0.04494834,0.005293129,0.003346705,0.00004824667,0.0002041267,0.8132119],"genre_scores_gemma":[0.3324431,0.0001103015,0.0001189205,0.06722274,0.0004900571,0.0001090891,0.0001013188,0.00002552989,0.5993789],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.213833,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893379060894866,"score_gpt":0.4353898359324863,"score_spread":0.4064560453235376,"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."}}