{"id":"W4392119476","doi":"10.1016/j.tra.2024.104007","title":"A joint analysis of accessibility and household trip frequencies by travel mode","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Wellcome Trust","keywords":"TRIPS architecture; Ordered probit; Mode choice; Travel behavior; Econometrics; Complementarity (molecular biology); Probit; Trip generation; Transport engineering; Neighbourhood (mathematics); Geography; Travel survey; Demographic economics; Economics; Public transport; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004921117,0.0001178887,0.0002998107,0.0005190188,0.0004191992,0.0002370251,0.0001468501,0.0001307544,0.0001397001],"category_scores_gemma":[0.001024859,0.0001061956,0.000103525,0.002635786,0.0009564835,0.001428006,0.000005307719,0.0003645569,0.000001248479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005633031,"about_ca_system_score_gemma":0.0005614127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08164009,"about_ca_topic_score_gemma":0.01977286,"domain_scores_codex":[0.9972234,0.0006933432,0.0004599349,0.0004485821,0.0007934032,0.0003813741],"domain_scores_gemma":[0.997134,0.002100553,0.00009013985,0.0001972421,0.0002421162,0.00023596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001753557,0.001497959,0.2781362,0.002370679,0.003779993,0.0001299271,0.338443,0.0001338746,0.01831926,0.320549,0.00925087,0.02563568],"study_design_scores_gemma":[0.0005711502,0.0001628937,0.8684246,0.0001147912,0.001555784,5.480396e-7,0.01736361,0.0008676026,0.001478255,0.0123024,0.09674069,0.0004176839],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979488,0.002557616,0.0006568707,0.008405474,0.00003888321,0.0004009825,0.0009092879,0.00006824037,0.007474701],"genre_scores_gemma":[0.9962314,0.002494023,0.0001518038,0.0001200223,0.00008820184,0.00003583162,0.000086308,0.000009531456,0.0007829053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5902884,"threshold_uncertainty_score":0.9981138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2058982033590509,"score_gpt":0.4857232564773659,"score_spread":0.279825053118315,"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."}}