{"id":"W4206287490","doi":"10.47004/wp.cem.2021.4421","title":"Dynamic ordered panel logit models","year":2021,"lang":"en","type":"report","venue":"","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Economic and Social Research Council; Princeton University; National Science Foundation","keywords":"Logit; Panel data; Econometrics; Mixed logit; Logistic regression; Ordered logit; Computer science; Statistics; Economics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005887542,0.0004674396,0.0006519161,0.0003991986,0.0001629026,0.0006752448,0.0003901319,0.0003752167,0.006984264],"category_scores_gemma":[0.0001642368,0.0004336673,0.0003109514,0.0005240614,0.00003714721,0.0006665108,0.0006072848,0.0004830786,0.0002951573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128908,"about_ca_system_score_gemma":0.0004526006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00738392,"about_ca_topic_score_gemma":0.002561706,"domain_scores_codex":[0.9974635,0.0000111663,0.0005502906,0.0006846168,0.0008308141,0.0004595668],"domain_scores_gemma":[0.998009,0.00005554321,0.000363373,0.0006736338,0.0008820564,0.00001636992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005514473,0.0004205678,0.01809125,0.005103069,0.0005972235,0.001283998,0.00004069387,0.0003104449,0.0001990173,0.00245097,0.3013286,0.670119],"study_design_scores_gemma":[0.0004405657,0.000003263318,0.008021642,0.0004633362,0.001011084,0.0000535622,0.0001880495,0.0188477,0.000002215653,0.002572,0.9669708,0.001425772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003943271,0.001834412,0.001748401,0.0003450085,0.002617557,0.0003379104,0.00001189017,0.0004338001,0.9887277],"genre_scores_gemma":[0.6947098,0.002744222,0.0007713062,0.001820106,0.002050217,0.0001102538,0.002520325,0.0003423297,0.2949314],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6937963,"threshold_uncertainty_score":0.9998115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090688926437563,"score_gpt":0.2879092563928087,"score_spread":0.1788403637490524,"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."}}