{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005324631,0.001506082,0.0020203,0.00119765,0.0005331344,0.0008385334,0.008071398,0.0007513843,0.0001219947],"category_scores_gemma":[0.0009525167,0.001489441,0.000141117,0.003007841,0.0003078695,0.001841109,0.004730427,0.002914447,0.03186305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258893,"about_ca_system_score_gemma":0.0008129695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1835786,"about_ca_topic_score_gemma":0.009114739,"domain_scores_codex":[0.9901779,0.0009382819,0.001857586,0.002975353,0.002016123,0.002034815],"domain_scores_gemma":[0.9861945,0.0003742984,0.001981406,0.009911942,0.0003245543,0.001213325],"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":[0.0002124005,0.0001552211,0.0004506997,0.0005834199,0.0003247382,0.0001146778,0.0001616318,0.000002944657,0.000008708231,0.000001478823,0.9978675,0.0001165779],"study_design_scores_gemma":[0.0008804323,0.0003120132,0.002454023,0.00072683,0.0001473152,0.00003690524,0.0002565664,0.00006337155,0.00001639933,0.0000106868,0.9936906,0.001404889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003043062,0.0008330878,0.000007574049,0.001198623,0.002274653,0.000929393,0.9936953,0.0007402772,0.0000167768],"genre_scores_gemma":[0.00003740661,0.004632453,0.0002940279,0.001520016,0.001649276,0.00004499627,0.9913118,0.0004242391,0.00008571811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1744639,"threshold_uncertainty_score":0.9997688,"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."}}