{"id":"W4411282979","doi":"10.1155/atr/1463346","title":"Coordinated Scheduling of Automated Loading Platforms in Commercial Logistics","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Scheduling (production processes); Computer science; Transport engineering; Engineering; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001528887,0.00008742308,0.0002560238,0.0002432706,0.00001682204,0.000006070329,0.00007283533,0.00006937316,0.00001428376],"category_scores_gemma":[0.00005080994,0.00008393388,0.00005032114,0.0002969211,0.00002624437,0.0001571254,0.000001088896,0.0002026673,2.150112e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005274286,"about_ca_system_score_gemma":0.00003492406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001036945,"about_ca_topic_score_gemma":0.00008175253,"domain_scores_codex":[0.9990386,0.00000398458,0.0006920857,0.00004847693,0.0001024248,0.0001143971],"domain_scores_gemma":[0.9995487,0.00006167503,0.0001684364,0.00005244748,0.0001407906,0.00002800394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006420314,0.00003248398,0.007790883,0.0001838394,0.00003045035,0.00003522464,0.0002502495,0.9805765,0.003608613,0.001594184,0.00003625015,0.005797159],"study_design_scores_gemma":[0.004867663,0.0002229368,0.6961074,0.00169132,0.0002052625,0.00001147563,0.001046305,0.264942,0.02295496,0.006750025,0.0007818259,0.0004188596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435238,0.0002710156,0.1550374,0.00002326279,0.0005707933,0.00007835262,0.00001612795,0.00006545679,0.0004137632],"genre_scores_gemma":[0.989557,0.0001231427,0.0102466,0.00001146463,0.00001953115,8.291027e-7,0.00002503354,0.000009346198,0.000007052443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7156345,"threshold_uncertainty_score":0.3422724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009571462908780406,"score_gpt":0.2562614605954707,"score_spread":0.2466899976866903,"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."}}