{"id":"W7096596839","doi":"","title":"Developing New Methods and Questions for Improving Response and Measurement on Sensitive Questions on the National Health Interview Survey","year":2015,"lang":"en","type":"article","venue":"","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Respondent; National Health Interview Survey; Test (biology); Data collection; Quarter (Canadian coin); Sample (material); Interview; Survey sampling; National standard","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3095654,0.0001005026,0.0001631417,0.0001014771,0.0008038822,0.00005776526,0.00007709583,0.00007637968,0.000005981768],"category_scores_gemma":[0.1808242,0.00007264628,0.00002160647,0.0002024052,0.0001912748,0.00006372869,0.00003592006,0.0001348985,0.000002667746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752788,"about_ca_system_score_gemma":0.002714308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005662443,"about_ca_topic_score_gemma":0.03169211,"domain_scores_codex":[0.9039864,0.09499534,0.0001959551,0.0002631898,0.0003317854,0.0002273484],"domain_scores_gemma":[0.9483375,0.05066378,0.0000944797,0.00008270159,0.0006282295,0.0001933299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01869739,0.0001548743,0.001827536,0.00004106139,0.0001889738,0.000001959917,0.04818159,0.00002944071,0.0009581094,0.5389145,0.01620399,0.3748006],"study_design_scores_gemma":[0.001193922,0.001260115,0.9082727,0.0002975029,0.00002389616,0.00001032219,0.009449841,0.0002830557,0.001264098,0.03298574,0.04447919,0.0004796614],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05201867,0.0004659994,0.7854265,0.1596809,0.0005080283,0.001018138,0.0000382317,0.00008600686,0.0007575083],"genre_scores_gemma":[0.5256183,0.0001826316,0.4517427,0.01984125,0.0002588678,0.0001179024,0.000009481389,0.00002590811,0.002203044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9064451,"threshold_uncertainty_score":0.985977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.780837926013529,"score_gpt":0.5873696708532496,"score_spread":0.1934682551602793,"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."}}