{"id":"W6909887531","doi":"10.3886/icpsr37304","title":"Health Reform Monitoring Survey, United States, First Quarter 2018","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); Medicaid; Government (linguistics); Health care; Work (physics); Health insurance; Health reform; Health policy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.006466828,0.001504844,0.001965264,0.001654933,0.0005763437,0.0007864314,0.008104497,0.0008489382,0.0003594638],"category_scores_gemma":[0.0006057952,0.001472349,0.0001353305,0.002261754,0.0002750533,0.002068211,0.004169615,0.002241833,0.03705675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003078338,"about_ca_system_score_gemma":0.0006475333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2747154,"about_ca_topic_score_gemma":0.02643136,"domain_scores_codex":[0.9906754,0.0005979001,0.001733385,0.00285797,0.001879215,0.002256122],"domain_scores_gemma":[0.9816497,0.0005229932,0.002084037,0.01460534,0.0003597603,0.000778164],"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":[0.000161856,0.0002064552,0.001750305,0.001061192,0.0002780943,0.00003973472,0.00009775064,0.00001006263,0.000001988037,6.661312e-7,0.9963249,0.00006699965],"study_design_scores_gemma":[0.001072543,0.0002773087,0.006224813,0.001369566,0.0001239034,0.00003865882,0.0001607477,0.00007970114,0.00000653658,0.00000393106,0.9891633,0.001478929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000989387,0.001174254,0.000004335692,0.0005414848,0.003635954,0.001192034,0.9920717,0.0003785109,0.00001226981],"genre_scores_gemma":[0.00008911998,0.005374719,0.000136535,0.000501589,0.001149007,0.00004448074,0.9919305,0.0004855705,0.0002884789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.248284,"threshold_uncertainty_score":0.99977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210318236852524,"score_gpt":0.3556706999669885,"score_spread":0.2346388762817361,"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."}}