{"id":"W6891376136","doi":"10.3886/icpsr37298","title":"Health Reform Monitoring Survey, United States, Third 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); Government (linguistics); Health care; Health insurance; Health reform; Health policy; Surprise; Survey data collection; Health plan","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":[0.002845701,0.00121051,0.001337649,0.003566938,0.0008415711,0.002065333,0.002193408,0.00114732,0.02208605],"category_scores_gemma":[0.01275922,0.0008415166,0.0007757798,0.0121219,0.0003076005,0.001400006,0.001780185,0.001797228,0.03524163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002663893,"about_ca_system_score_gemma":0.005251111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1195853,"about_ca_topic_score_gemma":0.1050417,"domain_scores_codex":[0.9971625,0.0005532858,0.0005230578,0.0005605482,0.000848726,0.000351799],"domain_scores_gemma":[0.9937209,0.0007933285,0.001039426,0.0006207066,0.003329052,0.0004966041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008773802,0.00004042252,0.0065893,0.0002939813,0.00003209943,0.00001529684,0.00003168132,0.000134729,0.00003340577,0.0003826224,0.9893793,0.00297945],"study_design_scores_gemma":[0.0007327181,0.00007455546,0.1259094,0.0006647185,0.00009649132,0.0001159908,0.0003661853,0.0009512532,0.0004245045,0.000941773,0.8696474,0.00007507603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004318502,0.00006545235,0.00008598997,0.0001518985,0.00003275205,0.00005723863,0.9981807,0.00007204546,0.000921977],"genre_scores_gemma":[0.001248516,0.0001272737,0.0003131237,0.0001908367,0.00002894053,0.0005381563,0.9959858,0.00003088375,0.001536435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1195853,"threshold_uncertainty_score":0.2377784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394084014359748,"score_gpt":0.376683366849164,"score_spread":0.2372749654131892,"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."}}