{"id":"W320527465","doi":"","title":"A Disaggregate Urban Shipment Size/Vehicle-Type Choice Model","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Discrete choice; Variable (mathematics); Transport engineering; Unit (ring theory); Vehicle type; Public transport; Business; Economics; Econometrics; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004258716,0.0007914362,0.0007804476,0.001173802,0.001066478,0.0003136071,0.001343946,0.0007612368,0.0008762414],"category_scores_gemma":[0.0006383723,0.000824532,0.0003354715,0.002639987,0.001409513,0.001019604,0.00001643463,0.005385474,0.0003953608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002391526,"about_ca_system_score_gemma":0.0005828496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029008,"about_ca_topic_score_gemma":0.03117891,"domain_scores_codex":[0.988817,0.0003948271,0.00164974,0.00138353,0.004809487,0.002945365],"domain_scores_gemma":[0.9919573,0.001757799,0.0001340607,0.001199106,0.00342867,0.001523082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004436347,0.002474066,0.4401753,0.004602235,0.001175933,0.001713508,0.04351957,0.1611715,0.192067,0.05122402,0.08439095,0.01304958],"study_design_scores_gemma":[0.005955701,0.001516653,0.7056727,0.0005553865,0.0002350264,0.000002027402,0.003938053,0.08982321,0.0169453,0.007139751,0.1649975,0.003218648],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840338,0.0004917887,0.00221074,0.0008044466,0.00089332,0.002073654,0.0009531919,0.001300709,0.007238398],"genre_scores_gemma":[0.9894862,0.0008002842,0.004995334,0.00009277944,0.000566541,0.0004621827,0.000728809,0.0002997597,0.002568149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2654974,"threshold_uncertainty_score":0.9994205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06329076598586389,"score_gpt":0.3345660429396128,"score_spread":0.2712752769537489,"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."}}