{"id":"W6909970246","doi":"10.3886/icpsr37031.v2","title":"Health Reform Monitoring Survey, United States, First Quarter 2017","year":2019,"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 insurance; Government (linguistics); Health care; Health reform; Medicaid; Behavioral Risk Factor Surveillance System; 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":[0.003109452,0.001190473,0.001335898,0.003426424,0.0009124086,0.002040124,0.002234766,0.00112338,0.01798143],"category_scores_gemma":[0.01254646,0.0008794977,0.0007223867,0.01099851,0.0003118704,0.00144029,0.001836527,0.00184989,0.02878695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003029885,"about_ca_system_score_gemma":0.005937736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.146891,"about_ca_topic_score_gemma":0.1295257,"domain_scores_codex":[0.9970293,0.0005622065,0.0004868295,0.0005691239,0.0009735703,0.0003789608],"domain_scores_gemma":[0.9930817,0.0007746957,0.001073902,0.0006669584,0.003842668,0.0005601696],"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":[0.00009111088,0.00004986882,0.007690062,0.0002764071,0.00003231503,0.00001731874,0.00004435048,0.0001311745,0.00004022806,0.0004563756,0.9876592,0.003511531],"study_design_scores_gemma":[0.0006453498,0.00007901379,0.1376119,0.0005668181,0.00008707147,0.000111086,0.0003834451,0.0008816122,0.0004780043,0.0007960454,0.8582906,0.00006903269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006142241,0.00007820284,0.0001125391,0.0001968984,0.00004240808,0.00008497538,0.9975739,0.00008342954,0.001213475],"genre_scores_gemma":[0.001532483,0.0001569729,0.0003998412,0.0002346723,0.00003870928,0.0007319972,0.9948486,0.00003522245,0.002021564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.146891,"threshold_uncertainty_score":0.292072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1370980328836883,"score_gpt":0.367907548068334,"score_spread":0.2308095151846457,"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."}}