{"id":"W2499351679","doi":"","title":"Study: US uninsured rate drops to new low","year":2015,"lang":"en","type":"article","venue":"The Nation's health","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Agency (philosophy); Demographic economics; Quality (philosophy); Business; Demography; Economics; Geography; Physics; Sociology","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":[0.00251461,0.0005289766,0.0006337352,0.001500021,0.001306866,0.001757471,0.001515079,0.001912604,0.009514506],"category_scores_gemma":[0.01367241,0.0005092553,0.001407417,0.002794386,0.0006431181,0.001759211,0.00228679,0.003882064,0.003048878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843734,"about_ca_system_score_gemma":0.003044053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1189045,"about_ca_topic_score_gemma":0.06645794,"domain_scores_codex":[0.9977502,0.0007631121,0.000206511,0.0004030381,0.0004102773,0.0004669522],"domain_scores_gemma":[0.9944366,0.001131453,0.001614378,0.0006083731,0.001101261,0.001107889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002429032,0.003447913,0.86159,0.0002954062,0.0007861989,0.0004499557,0.001527291,0.0003732186,0.000198564,0.001878579,0.1063836,0.0206403],"study_design_scores_gemma":[0.001057961,0.001536851,0.9655004,0.0001274512,0.0004403151,0.0004063686,0.003784945,0.0008215129,0.0005801377,0.0005905551,0.02511154,0.00004199607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9260947,0.001807993,0.0006669756,0.01250305,0.0006053973,0.0007974595,0.03973515,0.0001549379,0.01763437],"genre_scores_gemma":[0.946936,0.001082402,0.0002554728,0.01296064,0.0006236397,0.001354279,0.02391404,0.00005711753,0.01281647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1189045,"threshold_uncertainty_score":0.2364248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491601657351964,"score_gpt":0.3243220993461272,"score_spread":0.1751619336109307,"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."}}