{"id":"W2622248072","doi":"","title":"Heuristic Algorithms for Solving the Slot Planning Problem","year":2014,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Heuristic; Computer science; Mathematical optimization; Algorithm; Artificial intelligence; Mathematics","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":[0.00116567,0.001345131,0.001018686,0.001241895,0.000683516,0.001165576,0.001579251,0.001341954,0.004594572],"category_scores_gemma":[0.002602371,0.0008046934,0.000865748,0.002216622,0.001005632,0.001130733,0.0007314472,0.001406463,0.0008279864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000929818,"about_ca_system_score_gemma":0.001851052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003960289,"about_ca_topic_score_gemma":0.004211512,"domain_scores_codex":[0.9993386,0.0002563073,0.00003247729,0.00009870836,0.0001714504,0.0001024835],"domain_scores_gemma":[0.9991189,0.0006328273,0.00008972233,0.00006242459,0.0000627479,0.00003338309],"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":[0.0001340982,0.0001006802,0.0002535753,0.0002995359,0.00005429559,0.00008115937,0.00008510452,0.8618996,0.0008779987,0.0352416,0.004351214,0.09662112],"study_design_scores_gemma":[0.0001763292,0.00009508099,0.0001310452,0.00004697205,0.00002649364,0.00006912093,0.00005333026,0.9594004,0.0007582564,0.03312409,0.006099087,0.00001988607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01467363,0.001425945,0.9750941,0.0002040337,0.00008496076,0.0002188582,0.0002066082,0.0008205138,0.007271357],"genre_scores_gemma":[0.1650193,0.00191795,0.8281906,0.0001450534,0.00008439759,0.0006722686,0.0006004744,0.0001888259,0.003181028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004594572,"threshold_uncertainty_score":0.01537037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518290559449911,"score_gpt":0.2089182989376616,"score_spread":0.1937353933431625,"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."}}