{"id":"W3029603657","doi":"10.1159/000508300","title":"Propelling Health Care into the Twenties","year":2020,"lang":"en","type":"editorial","venue":"Biomedicine Hub","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics; Institute of Population and Public Health","funders":"Third Health Programme; European Commission","keywords":"Health care; Incentive; Public relations; Context (archaeology); Health policy; Resistance (ecology); Political science; Health care reform; Scope (computer science); Business; Medicine; Economic growth; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01221902,0.0004738144,0.002201618,0.0004421404,0.000539523,0.0001546531,0.0009695895,0.0005599486,0.0002817185],"category_scores_gemma":[0.007016601,0.0004225021,0.0002332845,0.0004270557,0.0002789668,0.0001817652,0.0001836006,0.0009711036,0.003596665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517565,"about_ca_system_score_gemma":0.001646993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00565361,"about_ca_topic_score_gemma":0.0003858659,"domain_scores_codex":[0.9919851,0.0004469105,0.005432857,0.001073704,0.0004205791,0.0006408473],"domain_scores_gemma":[0.9923901,0.001651948,0.004413699,0.000970673,0.0001997079,0.0003738566],"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":[0.00001180565,0.00001757264,0.0001030069,0.002319977,0.00009919433,0.000001659346,0.020639,0.000002534873,2.009563e-7,0.001229071,0.9749932,0.0005827674],"study_design_scores_gemma":[0.000629576,0.0002734008,0.00005024978,0.0004407743,0.00001693005,6.721941e-7,0.006589606,0.00009789511,5.86528e-7,0.0008930639,0.9906299,0.0003773334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000619775,0.08998772,0.0007860447,0.2039116,0.7007954,0.001478287,0.0008180289,0.0001390012,0.002022022],"genre_scores_gemma":[0.0008177591,0.003025613,0.001188236,0.01926696,0.9704072,0.0002144115,0.002062332,0.0001488,0.002868693],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2696119,"threshold_uncertainty_score":0.9998227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2418388541056441,"score_gpt":0.4448749583141642,"score_spread":0.2030361042085202,"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."}}