{"id":"W6966308077","doi":"10.3886/icpsr37487.v1","title":"Health Reform Monitoring Survey, United States, Third Quarter 2018","year":2020,"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); Medicaid; Health care; Government (linguistics); Work (physics); Health insurance; Health reform; Health policy; Health care reform","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":[0.00264304,0.001220508,0.001288338,0.003246516,0.0008270241,0.001914764,0.002130869,0.001054637,0.02011943],"category_scores_gemma":[0.01082193,0.0008097099,0.0006484502,0.009987015,0.0002677249,0.001431571,0.001591177,0.001579233,0.02845696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002439992,"about_ca_system_score_gemma":0.004504467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1231507,"about_ca_topic_score_gemma":0.1068084,"domain_scores_codex":[0.9978173,0.0003584902,0.000359589,0.0004665446,0.0007198394,0.0002781859],"domain_scores_gemma":[0.9948134,0.0006000774,0.0008248239,0.0004558365,0.002842492,0.0004633082],"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":[0.00008096576,0.00004199795,0.006445787,0.0002688213,0.00002637912,0.00001663976,0.00003662669,0.0001252755,0.00003927237,0.000436467,0.9887944,0.003687321],"study_design_scores_gemma":[0.0005416446,0.00007780561,0.1324316,0.0005494815,0.00007890489,0.0001122218,0.0003170363,0.0009060655,0.0004219642,0.0007553801,0.8637493,0.00005863289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005012586,0.00007104031,0.0001035144,0.0001696144,0.00003800632,0.0000553471,0.9978958,0.00008849992,0.001076846],"genre_scores_gemma":[0.001543329,0.0001498785,0.0004141862,0.0002272629,0.00003589893,0.0005889286,0.9949273,0.00003580552,0.002077496],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1231507,"threshold_uncertainty_score":0.2448677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1157620443420936,"score_gpt":0.3528373256880369,"score_spread":0.2370752813459434,"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."}}