{"id":"W6910018314","doi":"10.3886/icpsr35621.v4","title":"Health Reform Monitoring Survey, United States, Fourth Quarter 2013","year":2019,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Robert Wood Johnson Foundation","keywords":"Quarter (Canadian coin); Medicaid; Respondent; Health care; Government (linguistics); Health insurance; Health policy; Notice","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":[0.003034574,0.001095321,0.001269663,0.003206759,0.0008477374,0.001753749,0.002246728,0.0009724106,0.01601639],"category_scores_gemma":[0.01141545,0.0008541014,0.000721691,0.01045808,0.0002781275,0.001124876,0.00157474,0.001603058,0.02312254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256249,"about_ca_system_score_gemma":0.005391718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1525556,"about_ca_topic_score_gemma":0.1402559,"domain_scores_codex":[0.9972106,0.0005169965,0.0004629653,0.0005693563,0.0009210879,0.0003191511],"domain_scores_gemma":[0.994107,0.0006317463,0.001026203,0.0005495173,0.003260329,0.0004252204],"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":[0.0001227587,0.00006736669,0.01073086,0.0003036141,0.00004297183,0.00001627866,0.00004127582,0.0001987644,0.00005867887,0.000434859,0.9836109,0.004371674],"study_design_scores_gemma":[0.0008325626,0.0001083349,0.2516699,0.0004818857,0.0001245439,0.0001185124,0.0003660332,0.001254424,0.0006196582,0.0007961107,0.7435449,0.00008306857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007902586,0.00006381559,0.0001663928,0.0001793311,0.00003270896,0.0001206743,0.9972149,0.0001089796,0.001322836],"genre_scores_gemma":[0.002255688,0.0001423312,0.0006747231,0.0002614231,0.00003066642,0.001005411,0.9933583,0.00003675113,0.002234732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1525556,"threshold_uncertainty_score":0.3033353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162533315180047,"score_gpt":0.358562469795315,"score_spread":0.2423091382773104,"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."}}