{"id":"W6909890658","doi":"10.3886/icpsr36743.v1","title":"Health Reform Monitoring Survey, United States, Third Quarter 2015","year":2017,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Health care; Respondent; Government (linguistics); Health insurance; Mental health; Medicaid; Health policy","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":[0.002889238,0.001225212,0.001398267,0.003536486,0.0007230303,0.002037139,0.002282488,0.001011422,0.01702472],"category_scores_gemma":[0.01259654,0.00077793,0.000811492,0.01129878,0.0003140731,0.001279596,0.001722023,0.001612066,0.02226545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003015854,"about_ca_system_score_gemma":0.005094129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1188299,"about_ca_topic_score_gemma":0.1053951,"domain_scores_codex":[0.997089,0.000524062,0.0005223111,0.0006072845,0.0008972473,0.0003601104],"domain_scores_gemma":[0.994568,0.0005968073,0.001058627,0.0004731785,0.002865869,0.0004374909],"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":[0.0001142107,0.00004876545,0.01039362,0.0004085087,0.00005214812,0.00001778442,0.00003714837,0.0002122048,0.00003871892,0.0005325809,0.9847944,0.003349945],"study_design_scores_gemma":[0.000936029,0.0001030721,0.1894161,0.0007802094,0.0001473259,0.0001408568,0.0004199902,0.001267429,0.0004821779,0.0009818564,0.8052433,0.00008177047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006044999,0.0001012556,0.00009594878,0.0001452997,0.00003501214,0.00007214185,0.9979742,0.00007519789,0.000896407],"genre_scores_gemma":[0.001828665,0.0001534775,0.000303546,0.0001805996,0.00002871517,0.0004840125,0.9957283,0.00002497388,0.001267714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1188299,"threshold_uncertainty_score":0.2362764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260434737692896,"score_gpt":0.4041690270433109,"score_spread":0.2781255532740213,"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."}}