{"id":"W2145041857","doi":"","title":"Medicare+Choice in California: Lessons and Insights","year":2002,"lang":"en","type":"article","venue":"Mathematica Policy Research Reports","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Maturity (psychological); Business; Political science; Geography","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":[0.001717241,0.000124981,0.0002513507,0.001442128,0.001355908,0.002790495,0.0007696123,0.0008114402,0.0102835],"category_scores_gemma":[0.005105522,0.0001897212,0.0002962998,0.002741531,0.0006384584,0.001643527,0.0008287205,0.00139229,0.0003321166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008487727,"about_ca_system_score_gemma":0.005885768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4806724,"about_ca_topic_score_gemma":0.6009925,"domain_scores_codex":[0.9991085,0.0001759404,0.00003668769,0.00009490369,0.0002228973,0.0003610996],"domain_scores_gemma":[0.995739,0.001588367,0.0006990444,0.0001526093,0.0007577165,0.001063287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003612202,0.0009262484,0.5506076,0.0003130114,0.00009093415,0.0006721034,0.005706693,0.004475793,0.0001253511,0.06657707,0.2243424,0.1458016],"study_design_scores_gemma":[0.0001064477,0.0002151245,0.7976204,0.0003786601,0.0000523163,0.0002680964,0.01899754,0.003291192,0.0001773061,0.008400905,0.1704299,0.00006219781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7535835,0.008797587,0.0005073411,0.07657695,0.0002361372,0.00008511607,0.005709196,0.00006595224,0.1544382],"genre_scores_gemma":[0.9770727,0.003494799,0.0003898084,0.003354057,0.0002119337,0.00002969729,0.00173856,0.00002137266,0.01368702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4806724,"threshold_uncertainty_score":0.9557492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2508984309711952,"score_gpt":0.4039364556900943,"score_spread":0.1530380247188991,"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."}}