{"id":"W7119566844","doi":"","title":"Medicaid/SCHIP as Primary Source of Health Insurance During the Year","year":2004,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicaid; Health insurance; Quarter (Canadian coin); Self-insurance; Medical underwriting; Group insurance; Public health","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":[0.0004470703,0.0002141046,0.000247881,0.001481394,0.001054218,0.001425355,0.000629665,0.0004072038,0.009422545],"category_scores_gemma":[0.001461284,0.0001198326,0.0003418023,0.002616388,0.0002482734,0.0008078885,0.001041306,0.0007178553,0.001084503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502663,"about_ca_system_score_gemma":0.002553163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09709913,"about_ca_topic_score_gemma":0.1521374,"domain_scores_codex":[0.9988592,0.00009789826,0.00005821538,0.0001460682,0.0004521476,0.0003865681],"domain_scores_gemma":[0.9986312,0.000089801,0.0006265547,0.00005679359,0.0002342714,0.0003613814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001508331,0.0002482168,0.8830262,0.0001527495,0.0001273402,0.0004301611,0.0008870809,0.0005163822,0.0009615742,0.004511103,0.05049862,0.05848978],"study_design_scores_gemma":[0.00001878645,0.00008898725,0.953985,0.0001258487,0.00008758582,0.000558157,0.001422991,0.0007461174,0.0005456352,0.0003536862,0.0420474,0.00001981501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8462362,0.001093047,0.0008384499,0.002267395,0.0001291106,0.0004528752,0.07569105,0.0001335874,0.07315818],"genre_scores_gemma":[0.9390442,0.001544878,0.0007985719,0.001328085,0.0001920823,0.0003523674,0.03634749,0.0000201638,0.02037218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09709913,"threshold_uncertainty_score":0.1930679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130772701628602,"score_gpt":0.1879871047656102,"score_spread":0.17490983460275,"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."}}