{"id":"W2973433556","doi":"10.1097/01.npr.0000580796.97474.91","title":"Medicare for all?","year":2019,"lang":"en","type":"article","venue":"The Nurse Practitioner","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Gerontology; Genealogy; Family medicine; Medicine; Library science; Sociology; History; Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008056329,0.00008982079,0.0001663422,0.00003600844,0.0004979082,0.000005854781,0.0001801433,0.0001294993,0.006621093],"category_scores_gemma":[0.0002252496,0.00005324818,0.00007038725,0.00007114428,0.00002473907,0.000192088,0.00002223346,0.0004609023,0.005352067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212106,"about_ca_system_score_gemma":0.0006327541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059537,"about_ca_topic_score_gemma":0.0000583578,"domain_scores_codex":[0.998747,0.0002463377,0.0002715196,0.0001585263,0.0002016345,0.0003749733],"domain_scores_gemma":[0.9974722,0.001724502,0.0001803094,0.0003934646,0.0001468298,0.00008268296],"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":[0.0001244756,0.00002883642,0.004363819,0.0001447033,0.00003630985,6.592342e-7,0.00240147,0.00000122686,0.0001612061,0.02876909,0.961927,0.002041189],"study_design_scores_gemma":[0.0007424922,0.00004526311,0.00828342,0.00002504281,0.00003506503,0.000001921632,0.003120286,0.00001769501,0.00001254557,0.00337953,0.984258,0.00007875572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02166153,0.0002905678,0.0005804129,0.4709653,0.006178615,0.00327233,0.00009780865,0.0002230635,0.4967304],"genre_scores_gemma":[0.336005,0.0001683559,0.001284182,0.4623703,0.002754238,0.001733932,0.0003647116,0.00008815189,0.1952311],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3143434,"threshold_uncertainty_score":0.9954224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710482183786779,"score_gpt":0.4592629263842691,"score_spread":0.4021581045464013,"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."}}