{"id":"W574081526","doi":"","title":"Los Angeles Cargo Forecasting Model Development","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Metropolitan area; Transport engineering; Calibration; Commodity; Operations research; Computer science; Geography; Engineering; Business; Finance","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","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.005659558,0.001343124,0.001285789,0.001398935,0.001215216,0.0002128509,0.002176038,0.0005960608,0.001488823],"category_scores_gemma":[0.00003563192,0.00129666,0.0007297239,0.002927098,0.001579114,0.0004869456,0.00004813941,0.005499152,0.0001415757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009154812,"about_ca_system_score_gemma":0.001850424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001918862,"about_ca_topic_score_gemma":0.01501358,"domain_scores_codex":[0.9866914,0.0001457946,0.001865279,0.001866665,0.004854814,0.004576042],"domain_scores_gemma":[0.9944918,0.0005573895,0.0001332639,0.001532412,0.001486497,0.0017986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00390578,0.004123081,0.0466907,0.005744249,0.002369169,0.004919516,0.01772877,0.04485147,0.01836467,0.7015479,0.02348328,0.1262715],"study_design_scores_gemma":[0.01066048,0.00223307,0.1534732,0.007845123,0.0003958818,0.00004865028,0.005459676,0.6097518,0.0793559,0.02974021,0.08949488,0.01154108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.235557,0.0007386136,0.1752584,0.001555524,0.0007620499,0.004849557,0.001275472,0.003080807,0.5769225],"genre_scores_gemma":[0.9811113,0.001055235,0.005510486,0.0001873108,0.000287822,0.0003030668,0.0007503788,0.0002718601,0.01052247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7455543,"threshold_uncertainty_score":0.999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2926587272113089,"score_gpt":0.3354846302596264,"score_spread":0.04282590304831746,"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."}}