{"id":"W4320084520","doi":"10.1007/978-3-031-20719-8_8","title":"Non-proportional Substitution Patterns II: The Probit Model","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Multinomial probit; Substitution (logic); Multinomial logistic regression; Econometrics; Probit; Ordered probit; Independence (probability theory); Probit model; Logit; Logistic regression; Mathematics; Economics; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002278261,0.0001143633,0.00009756326,0.00005871926,0.001241329,0.00005764017,0.0001579699,0.0001327047,0.001961829],"category_scores_gemma":[0.00001099744,0.0000969945,0.00008014162,0.00003242762,0.0001042567,0.0001977238,0.00001567147,0.0002543643,0.00002565197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001017808,"about_ca_system_score_gemma":0.0003300989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003715102,"about_ca_topic_score_gemma":0.0008728036,"domain_scores_codex":[0.9989552,0.00001386782,0.00018931,0.0001992008,0.0005111985,0.0001312035],"domain_scores_gemma":[0.9995441,0.0000267644,0.0001578276,0.0001384615,0.00008969258,0.00004312594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000957631,0.0000141975,0.0005352971,0.000008097853,0.00002184786,0.000007386569,0.004753446,0.1131807,8.990727e-7,0.8790759,0.002186152,0.0002064302],"study_design_scores_gemma":[0.0001930612,0.0000303733,0.001041007,0.00007771133,0.0001079492,0.000001706637,0.0001782228,0.01127343,0.000002085851,0.01096167,0.975745,0.0003877461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009343892,0.0001315613,0.03479919,0.003174895,0.00163817,0.001698695,0.001025278,0.0004530918,0.9477352],"genre_scores_gemma":[0.1578656,0.0003920644,0.0006444695,0.0003333493,0.000293224,0.00005481875,0.001650433,0.00003343499,0.8387326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9735589,"threshold_uncertainty_score":0.9989505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0448810498406601,"score_gpt":0.2696336965907989,"score_spread":0.2247526467501388,"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."}}