{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04154436,0.0008686553,0.002112429,0.002536168,0.0007450539,0.002419424,0.003278617,0.001778042,0.003387983],"category_scores_gemma":[0.1241012,0.0009686508,0.002063344,0.004421857,0.002351658,0.002354133,0.002633466,0.002595659,0.0004690165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002425073,"about_ca_system_score_gemma":0.001464245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00838014,"about_ca_topic_score_gemma":0.007057985,"domain_scores_codex":[0.9604154,0.03273047,0.0009134065,0.003137599,0.00224293,0.0005601734],"domain_scores_gemma":[0.8024466,0.1760129,0.01234833,0.006099415,0.00247254,0.0006202302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003945559,0.0003223776,0.05642425,0.0007070056,0.0009040791,0.000676764,0.001496411,0.6244438,0.0008367944,0.2176293,0.00322062,0.09294412],"study_design_scores_gemma":[0.00004984874,0.0001101727,0.004692434,0.00008225756,0.00007054265,0.00008709259,0.0001608036,0.8509597,0.0002154502,0.1419704,0.001560938,0.00004039342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05558438,0.0003477894,0.9414724,0.000776618,0.00005743513,0.0002602807,0.0006336785,0.0002150391,0.0006523916],"genre_scores_gemma":[0.5910186,0.0005522611,0.4031605,0.00038378,0.0001224936,0.001744775,0.001273541,0.00007953402,0.00166441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04154436,"threshold_uncertainty_score":0.2197102,"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."}}