{"id":"W6947506096","doi":"10.3886/icpsr37031","title":"Health Reform Monitoring Survey, United States, First Quarter 2017","year":2018,"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":[0.002837538,0.001296275,0.001410898,0.003560708,0.000911706,0.002179111,0.002393907,0.001093373,0.01802839],"category_scores_gemma":[0.01230532,0.000823934,0.0006636923,0.01116682,0.000329543,0.001566186,0.001848839,0.001946431,0.02754571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744744,"about_ca_system_score_gemma":0.005166133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1198847,"about_ca_topic_score_gemma":0.1082246,"domain_scores_codex":[0.9973462,0.0004707179,0.0004028952,0.0005374255,0.0008993242,0.0003434254],"domain_scores_gemma":[0.9934465,0.0007106303,0.001105427,0.0006362991,0.003550398,0.0005507314],"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":[0.00009062272,0.00005045709,0.007816737,0.0002494861,0.00002993158,0.00001799479,0.00004423934,0.0001256052,0.00003288652,0.000429272,0.9879831,0.003129635],"study_design_scores_gemma":[0.0006549993,0.00007317488,0.1279042,0.0005605194,0.00008523112,0.0001145103,0.000403167,0.0009046002,0.0004414424,0.0008191402,0.8679771,0.00006210017],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006833207,0.00008291451,0.0001100822,0.0001881825,0.00004313075,0.00007327083,0.9975578,0.0001005406,0.001160814],"genre_scores_gemma":[0.001533277,0.0001511978,0.000335848,0.0001812889,0.0000396411,0.0006285933,0.9953368,0.000037982,0.001755458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1198847,"threshold_uncertainty_score":0.2383738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157656943015029,"score_gpt":0.3649696755986489,"score_spread":0.2492039812971459,"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."}}