{"id":"W4255334151","doi":"10.1017/s0730938400007565","title":"Barriers to SCHIP enrollment: A cross-county study of the State Children's Health Insurance Program in Pennsylvania","year":2005,"lang":"en","type":"article","venue":"Politics and the Life Sciences","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicaid; Poverty; Health insurance; Legislation; Multivariate analysis; Health care; Business; Environmental health; Medicine; Economic growth; Political science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009798775,0.0001568945,0.0002552205,0.000988126,0.001094913,0.0008572963,0.0004939245,0.0005061489,0.001701451],"category_scores_gemma":[0.003201027,0.0003417543,0.0002460941,0.001224162,0.0004668973,0.0007814465,0.001263651,0.0009941789,0.0001495774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488776,"about_ca_system_score_gemma":0.001215599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.109712,"about_ca_topic_score_gemma":0.1909344,"domain_scores_codex":[0.9991535,0.0002871803,0.00004114179,0.0001414261,0.0001368251,0.0002399639],"domain_scores_gemma":[0.9974422,0.0007016412,0.0009844513,0.0000863723,0.0002504078,0.0005349095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000220326,0.0001073017,0.996201,0.000006479865,0.00002701829,0.00006687793,0.001725928,0.0000320316,0.00004331029,0.00008478773,0.0004956576,0.001187606],"study_design_scores_gemma":[0.000003818365,0.00006342935,0.9950624,0.000007751964,0.00001144975,0.00008235623,0.004052027,0.0001743654,0.0000236086,0.00002841561,0.0004869657,0.000003331552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999409,0.00005105191,0.0000329696,0.0001209598,0.000001635123,0.000008500751,0.000193929,0.000001213088,0.000180797],"genre_scores_gemma":[0.9993649,0.00006006968,0.00006286232,0.00006659782,0.000003695469,0.00001882832,0.0003030542,0.000001256675,0.0001188273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.109712,"threshold_uncertainty_score":0.2181469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03174644263733298,"score_gpt":0.3165536312090597,"score_spread":0.2848071885717267,"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."}}