{"id":"W7164621361","doi":"","title":"Version 1","year":2014,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; Medicaid; Health care; Government (linguistics); Quarter (Canadian coin); Health policy; Medical underwriting; Self-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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004442222,0.0007510354,0.0006950374,0.003171461,0.001117814,0.004375179,0.001878204,0.001596929,0.6789751],"category_scores_gemma":[0.02409693,0.0005473327,0.0007343744,0.003243379,0.0005001032,0.003203477,0.00225025,0.00187874,0.6193962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657732,"about_ca_system_score_gemma":0.004191387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127582,"about_ca_topic_score_gemma":0.01274653,"domain_scores_codex":[0.9972125,0.0006040504,0.0002589524,0.0003919513,0.001236071,0.0002966057],"domain_scores_gemma":[0.9912407,0.001827947,0.0003338927,0.001476824,0.00435621,0.0007644242],"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":[0.00004228362,0.00002689862,0.0005764808,0.000128251,0.000004844202,0.0000160129,0.00007806404,0.00004320152,0.0000507016,0.00419715,0.9493108,0.04552534],"study_design_scores_gemma":[0.00001738679,0.00001245891,0.001121392,0.0001627585,0.000003530875,0.00002763692,0.0000612721,0.00004234318,0.00004954948,0.001470449,0.9970232,0.000007945121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001224227,0.001009275,0.0062608,0.007763617,0.004196926,0.001022355,0.2189362,0.008788987,0.7507976],"genre_scores_gemma":[0.007942645,0.001839101,0.007407667,0.00541751,0.0008849466,0.001831492,0.1684431,0.003999316,0.8022342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3210249,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041162255298306,"score_gpt":0.3111761879390199,"score_spread":0.2807645653860368,"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."}}