{"id":"W2185042631","doi":"","title":"Percent of Medicare Eligible in Alaska enrolled in MA Plans, by County and Type of Plan","year":2014,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Rural area; Peninsula; Geography; Archaeology; Medicine","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":[0.0002312047,0.0001463141,0.0001669465,0.0009361035,0.0006143706,0.0004516241,0.0004138085,0.0002334945,0.01657178],"category_scores_gemma":[0.001435509,0.0001674978,0.0002611301,0.001230158,0.0001381656,0.0005126731,0.0004691131,0.0002793148,0.002129679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003764387,"about_ca_system_score_gemma":0.0008316491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05642669,"about_ca_topic_score_gemma":0.1288858,"domain_scores_codex":[0.9997384,0.00003482227,0.00002628919,0.00004256386,0.0001002232,0.00005758819],"domain_scores_gemma":[0.9992108,0.00008536991,0.000226756,0.0000209605,0.0001377456,0.0003183177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002087616,0.0001724763,0.9381014,0.00007127733,0.0000667132,0.0002092874,0.0004652946,0.0002872915,0.0004274332,0.0005266719,0.04552426,0.01393912],"study_design_scores_gemma":[0.00001353034,0.00006672913,0.9911504,0.00005343984,0.00002416368,0.0002081743,0.001714112,0.0002895045,0.00006891829,0.00007223635,0.006333387,0.000005437706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9146815,0.001319059,0.0002270621,0.001096239,0.0001045165,0.00008067701,0.03647365,0.0001244208,0.04589278],"genre_scores_gemma":[0.9463984,0.001866249,0.0002826876,0.0006582161,0.00009188566,0.0001529821,0.01912462,0.00002641834,0.03139852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05642669,"threshold_uncertainty_score":0.1121965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239041736476285,"score_gpt":0.2774725698599127,"score_spread":0.2650821524951498,"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."}}