{"id":"W2272366427","doi":"","title":"Vancouver cuts truck wait times : Western Canada container port gains newfound momentum from electronic appointment system","year":2015,"lang":"en","type":"article","venue":"American shipper","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Truck; Containerization; Container (type theory); Port (circuit theory); Momentum (technical analysis); Business; Aeronautics; Transport engineering; Telecommunications; Operations management; Engineering; Finance; Automotive engineering; Electrical engineering; Mechanical engineering","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"],"consensus_categories":[],"category_scores_codex":[0.0001153997,0.0002897606,0.0004237782,0.00004598669,0.00004171514,0.00004359264,0.0001917854,0.00004429559,0.0002445975],"category_scores_gemma":[0.00001115515,0.0002649993,0.00005392657,0.0001285306,0.00007288562,0.00007451556,0.00004602177,0.0002018996,0.00005069466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001374279,"about_ca_system_score_gemma":0.0004956943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5406612,"about_ca_topic_score_gemma":0.6160371,"domain_scores_codex":[0.9983318,0.00003498009,0.0003346821,0.0002847969,0.0003780658,0.0006356647],"domain_scores_gemma":[0.9990984,0.00004458695,0.00008661552,0.000389038,0.00006074967,0.0003206558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009086155,0.0001115668,0.132344,0.0001221747,0.0009910242,0.0006148253,0.0009959214,0.01272121,0.0000930454,0.003506649,0.8335173,0.01489147],"study_design_scores_gemma":[0.001120016,0.0002757458,0.01154342,0.00005997257,0.0001774145,0.00002790491,0.0049685,0.01738299,0.0001266774,0.0001966849,0.9630267,0.00109396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837038,0.0010981,0.006581563,0.0004321608,0.003045867,0.0008265041,0.0002877679,0.0009628409,0.1497272],"genre_scores_gemma":[0.9933856,0.00001761049,0.0001129872,0.0004057194,0.0002600438,0.00003714359,0.00008172775,0.00006919353,0.005629945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563476,"threshold_uncertainty_score":0.9999802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037886731721859,"score_gpt":0.2046435112470469,"score_spread":0.1942646439298283,"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."}}