{"id":"W2005712685","doi":"10.1002/cjs.10040","title":"Modeling multiple‐response categorical data from complex surveys","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation","keywords":"Categorical variable; Statistics; Log-linear model; Sampling (signal processing); Simple random sample; Computer science; Econometrics; Mathematics; Linear model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002281959,0.000183663,0.0004659181,0.0001678242,0.0001474448,0.0001259893,0.0007560311,0.00009249361,0.0005549407],"category_scores_gemma":[0.01656781,0.0001654317,0.00003977654,0.0001518318,0.00009360633,0.0001352883,0.00002587784,0.0003890111,0.00001786671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418099,"about_ca_system_score_gemma":0.001219356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004984612,"about_ca_topic_score_gemma":0.01536621,"domain_scores_codex":[0.9975052,0.0008187207,0.0007659839,0.0002086831,0.0003031788,0.0003982699],"domain_scores_gemma":[0.9933373,0.004581836,0.000225857,0.0005119806,0.0004232349,0.000919736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005596415,0.0002600477,0.003437151,0.00006553148,0.0002842959,0.006001296,0.001457715,0.000441327,0.001089694,0.5532438,0.132751,0.3004084],"study_design_scores_gemma":[0.0004604777,0.0001644638,0.01539947,0.00003718279,0.00007769103,0.00007489355,0.00009002201,0.2379449,0.000007496077,0.7449714,0.0005667314,0.0002051977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006382781,0.00006970035,0.9869542,0.0004064056,0.0002659364,0.00007294031,0.005730371,0.000008358427,0.0001092934],"genre_scores_gemma":[0.4491641,0.000005991508,0.5505071,0.0001205948,0.0001167852,1.712878e-7,0.00006277097,0.00001217531,0.00001027976],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4427813,"threshold_uncertainty_score":0.991716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2753922557097295,"score_gpt":0.3873605465499309,"score_spread":0.1119682908402014,"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."}}