{"id":"W4234162896","doi":"10.1377/forefront.20140414.038484","title":"Look At Consequences Of Rejecting Medicaid Expansion Leads First Quarter &amp;lt;em&amp;gt;Health Affairs&amp;lt;/em&amp;gt; Blog Most-Read List","year":2014,"lang":"en","type":"dataset","venue":"Forefront Group","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Quarter (Canadian coin); Ampere; Economics; Electrical engineering; Engineering; Health care; History; Economic growth; Voltage","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":[0.001122726,0.0005786046,0.0005739754,0.003258365,0.001062298,0.002624104,0.001678507,0.001280106,0.04836971],"category_scores_gemma":[0.01026848,0.0003343136,0.0006306045,0.00511198,0.0003946999,0.002074083,0.001861442,0.00257772,0.02772039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002088251,"about_ca_system_score_gemma":0.002064142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07840752,"about_ca_topic_score_gemma":0.1449144,"domain_scores_codex":[0.9991342,0.0001772404,0.00007291718,0.0001322126,0.0003002522,0.0001831694],"domain_scores_gemma":[0.9950969,0.001487422,0.0008639285,0.0004586706,0.001654528,0.0004384572],"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":[0.00003959884,0.0000226899,0.006208332,0.0001008137,0.00001212414,0.00001897878,0.00002920336,0.00009330187,0.00001512263,0.0004854111,0.9908378,0.002136637],"study_design_scores_gemma":[0.0004942025,0.00006040103,0.09872216,0.0003942618,0.00005888738,0.0001411777,0.00149819,0.001355064,0.0004498019,0.001920768,0.8948405,0.00006450267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005696528,0.000274014,0.0001047406,0.003333264,0.0002664468,0.00002887001,0.9813172,0.0002553419,0.008723612],"genre_scores_gemma":[0.01412301,0.0004143227,0.0002939159,0.001309594,0.0002236933,0.0002492599,0.9706049,0.0001704261,0.01261093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07840752,"threshold_uncertainty_score":0.1618128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05050835288909712,"score_gpt":0.2834968193879668,"score_spread":0.2329884664988697,"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."}}