{"id":"W2118415020","doi":"10.3141/2077-02","title":"Freight Transportation Planning","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Metropolitan area; Benchmarking; Business; Plan (archaeology); Traffic management; Transportation planning; Transport engineering; Strategic planning; Regional planning; Urban planning; Environmental planning; Marketing; Geography; Engineering; Civil engineering","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002119855,0.0004370192,0.0006781089,0.001260509,0.0009151835,0.00008244899,0.001315391,0.0003627668,0.0004514041],"category_scores_gemma":[0.00006544458,0.0003505814,0.0005833622,0.002619703,0.001064118,0.0008350943,0.000002348902,0.003401083,0.00005426382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002947055,"about_ca_system_score_gemma":0.0004485685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918067,"about_ca_topic_score_gemma":0.009705391,"domain_scores_codex":[0.9918049,0.0004814203,0.001980054,0.0004446657,0.004007844,0.00128112],"domain_scores_gemma":[0.9953298,0.0007317711,0.0002916463,0.00060982,0.002451981,0.0005849639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001490408,0.0005514533,0.8118416,0.0009463355,0.0006976418,0.002557,0.01585807,0.07038898,0.01032253,0.007585959,0.07447629,0.003283744],"study_design_scores_gemma":[0.001727883,0.0003996428,0.9409741,0.0003588987,0.00008725793,0.000003529572,0.0009170317,0.0006837579,0.003511544,0.002033943,0.04888546,0.0004169347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831591,0.001190944,0.01146216,0.0005597575,0.001326121,0.0008291142,0.0001901777,0.0001697618,0.001112857],"genre_scores_gemma":[0.9934953,0.002661694,0.00249024,0.00004038496,0.0004102961,0.00006108543,0.0000780079,0.000135135,0.0006278099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1291325,"threshold_uncertainty_score":0.9998946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587340547738717,"score_gpt":0.3414141251788181,"score_spread":0.1826800704049464,"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."}}