{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006024613,0.001057149,0.002291613,0.002053024,0.000952296,0.003761157,0.003997648,0.002741356,0.01560663],"category_scores_gemma":[0.02198273,0.0009474552,0.00132534,0.00376998,0.001150637,0.004246083,0.001928757,0.002918821,0.002990388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001969677,"about_ca_system_score_gemma":0.001016702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147973,"about_ca_topic_score_gemma":0.011897,"domain_scores_codex":[0.9951693,0.0029664,0.0001813621,0.0006992294,0.0004559717,0.0005276022],"domain_scores_gemma":[0.9791716,0.01560908,0.002512397,0.001289529,0.001027898,0.0003894459],"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":[0.0001906302,0.0002256023,0.00936235,0.0002990846,0.0003018108,0.0009315254,0.0004213454,0.4560533,0.0003105747,0.4859971,0.01224029,0.03366628],"study_design_scores_gemma":[0.00006355102,0.00006271067,0.001623635,0.00005214047,0.00007505348,0.0002537828,0.0001208647,0.8031933,0.0001246588,0.186814,0.007557919,0.00005834851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07501944,0.002550587,0.8900547,0.003011284,0.0002667714,0.0003274535,0.007617579,0.0008925727,0.02025963],"genre_scores_gemma":[0.8432187,0.003085085,0.1081306,0.0006681101,0.0004559053,0.0008881583,0.006188402,0.0001888296,0.03717628],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01560663,"threshold_uncertainty_score":0.05220932,"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."}}