{"id":"W6928732226","doi":"10.3886/icpsr35624","title":"Health Reform Monitoring Survey, United States, First Quarter 2013","year":2015,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Robert Wood Johnson Foundation","keywords":"Quarter (Canadian coin); Respondent; Government (linguistics); Health care; Behavioral Risk Factor Surveillance System; Mental health; Health insurance; Survey data collection","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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.005629756,0.0008152747,0.00124049,0.001124109,0.0003898482,0.00147932,0.01720842,0.0003696161,0.00004315876],"category_scores_gemma":[0.0003629226,0.0007421679,0.00009153756,0.002568691,0.0001292006,0.003681225,0.008111734,0.001087411,0.001497157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009593627,"about_ca_system_score_gemma":0.0006130559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2526726,"about_ca_topic_score_gemma":0.03077647,"domain_scores_codex":[0.9931167,0.0004115073,0.001207148,0.002309744,0.001698384,0.001256472],"domain_scores_gemma":[0.9830714,0.0002610017,0.001184241,0.01422675,0.0004617641,0.000794842],"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":[0.000008662299,0.0000892093,0.0003177231,0.0001522059,0.0001380159,0.00004272948,0.00008834602,0.00001164192,6.709805e-8,0.000006445554,0.9985564,0.0005885885],"study_design_scores_gemma":[0.0003656209,0.0001258999,0.0009422406,0.0002891051,0.00005183308,0.00002566322,0.0000433699,0.002345803,0.000001388969,0.00003188907,0.9950026,0.000774569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942328,0.001103319,0.00189146,0.003156801,0.001690918,0.0003302628,0.9915166,0.0002543385,0.000006911593],"genre_scores_gemma":[0.00002171185,0.00465312,0.002635792,0.0008033571,0.0004713092,0.00002333849,0.9912189,0.00005018536,0.0001222973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2218961,"threshold_uncertainty_score":0.9999105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08498139211837724,"score_gpt":0.3311107142408688,"score_spread":0.2461293221224916,"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."}}