{"id":"W3210794902","doi":"10.1080/24725854.2021.1983923","title":"Loading and scheduling outbound trucks at a dispatch warehouse","year":2021,"lang":"en","type":"article","venue":"IISE Transactions","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Truck; Warehouse; Scheduling (production processes); Business; Database; Computer science; Operations research; Operations management; Transport engineering; Automotive engineering; Engineering; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056373,0.001327768,0.001511126,0.0005421253,0.0008824899,0.00252805,0.00218029,0.001448583,0.007720068],"category_scores_gemma":[0.001689596,0.0009693432,0.001086436,0.001083201,0.0007314605,0.001640239,0.00120561,0.001655315,0.001044523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411961,"about_ca_system_score_gemma":0.003018608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008644194,"about_ca_topic_score_gemma":0.008238143,"domain_scores_codex":[0.9993626,0.0001533456,0.00002784774,0.0001425654,0.0001036815,0.0002099521],"domain_scores_gemma":[0.9991329,0.0002891389,0.0001777641,0.00008475075,0.00006884788,0.0002466626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003295411,0.0002737416,0.001062709,0.0001576076,0.00003105014,0.0002610158,0.0001112221,0.9639048,0.004679404,0.009109366,0.001334275,0.0187453],"study_design_scores_gemma":[0.00004079454,0.000174445,0.0004314437,0.00001120809,0.00001896083,0.00003572822,0.000129657,0.9904681,0.00240859,0.004592778,0.001673301,0.00001504581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.347386,0.0005228348,0.6335217,0.0006287321,0.0003003333,0.0005438048,0.0007860868,0.0005103882,0.01580008],"genre_scores_gemma":[0.8636951,0.0005810478,0.1231217,0.00009737677,0.00006557693,0.0001959045,0.0006317798,0.0001387455,0.0114728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008644194,"threshold_uncertainty_score":0.02582616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009344913126283706,"score_gpt":0.2043063608759323,"score_spread":0.1949614477496486,"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."}}