{"id":"W6941246288","doi":"10.13016/m2krcw-u2kw","title":"IMPROVING MEDICAID ENROLLMENT AND POPULATION HEALTH:THREE PAPERS FOR STATES.","year":2018,"lang":"en","type":"other","venue":"Maryland Shared Open Access Repository (USMAI Consortium)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Staffing; Unemployment; Health care; Population; Health insurance; Health policy; Public health; Public health insurance","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":[0.01149175,0.0009372088,0.0008171775,0.004831225,0.004488819,0.007313955,0.001536262,0.00517473,0.01117584],"category_scores_gemma":[0.03475946,0.0006696644,0.001997567,0.00977735,0.003707672,0.009605772,0.004982014,0.006666635,0.001098089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009664368,"about_ca_system_score_gemma":0.01080673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0198576,"about_ca_topic_score_gemma":0.02771953,"domain_scores_codex":[0.9959747,0.001521365,0.0002424049,0.0005017078,0.001303804,0.0004559754],"domain_scores_gemma":[0.9839365,0.008685743,0.001148048,0.001263025,0.003620592,0.001346026],"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":[0.0001514858,0.0003257089,0.0111354,0.001064829,0.0001997423,0.0001215809,0.002822321,0.00047955,0.0001966723,0.1651942,0.5731258,0.2451826],"study_design_scores_gemma":[0.00007651241,0.000154237,0.03506408,0.004735899,0.0002865249,0.0001597804,0.006724843,0.000671436,0.0008720098,0.07661876,0.8744938,0.0001421969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01301658,0.2486317,0.004909486,0.6249375,0.0255719,0.0002259699,0.001557772,0.0002470648,0.0809021],"genre_scores_gemma":[0.2654889,0.4313562,0.01772352,0.1727016,0.03176581,0.001479875,0.003397812,0.00065513,0.07543112],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0198576,"threshold_uncertainty_score":0.07012028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02583087607708074,"score_gpt":0.2938885009735553,"score_spread":0.2680576248964746,"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."}}