{"id":"W6891311444","doi":"10.3886/icpsr37630.v1","title":"Health Reform Monitoring Survey, United States, First Quarter 2019","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; Government (linguistics); Work (physics); Health insurance; Health care; Health reform; Behavioral Risk Factor Surveillance System","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":[0.00275394,0.001141418,0.001143648,0.003179241,0.0008485007,0.001788886,0.002004918,0.001117584,0.0188811],"category_scores_gemma":[0.01038111,0.0007996389,0.0007161597,0.009718053,0.0002371374,0.001299064,0.001622633,0.001517043,0.02495192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002680897,"about_ca_system_score_gemma":0.004324148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1569712,"about_ca_topic_score_gemma":0.1405087,"domain_scores_codex":[0.9978795,0.0003996583,0.0003702098,0.0004368399,0.0006423023,0.0002715939],"domain_scores_gemma":[0.9944523,0.0006477385,0.0008893377,0.0005182338,0.002983998,0.000508345],"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":[0.00009350588,0.00004898089,0.009512496,0.0003431187,0.00004053184,0.00002141981,0.00003859936,0.0001856084,0.0000587625,0.0004961792,0.9850521,0.004108701],"study_design_scores_gemma":[0.0005933275,0.0001062555,0.1956111,0.0005958528,0.0001019968,0.0001298603,0.0003251187,0.001270055,0.0005514278,0.000896631,0.7997381,0.0000804249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005766368,0.00006359956,0.00009455455,0.0001576012,0.00003407289,0.00004787543,0.9980021,0.00007042423,0.0009529964],"genre_scores_gemma":[0.001960143,0.0001204615,0.0004571002,0.0002669618,0.00002928952,0.0004815741,0.994875,0.00002905668,0.001780414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1569712,"threshold_uncertainty_score":0.3121151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09071145696168262,"score_gpt":0.3395690731991063,"score_spread":0.2488576162374237,"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."}}