{"id":"W1943991695","doi":"10.1002/atr.1193","title":"Improved rehandling strategies for the container retrieval process","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Container (type theory); Heuristics; Flexibility (engineering); Computer science; Reliability (semiconductor); Operations research; Process (computing); Branch and bound; Heuristic; Work (physics); Mathematical optimization; Volume (thermodynamics); Sequence (biology); Transport engineering; Engineering; Algorithm; Mathematics; Mechanical engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006591963,0.001085872,0.001088775,0.000951323,0.0007988936,0.001143481,0.00167755,0.001149163,0.007756887],"category_scores_gemma":[0.001905556,0.0003766354,0.0005816777,0.0006003913,0.0004778689,0.001165842,0.001088327,0.0007649882,0.001036452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009816076,"about_ca_system_score_gemma":0.001232986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006986595,"about_ca_topic_score_gemma":0.004384116,"domain_scores_codex":[0.9996642,0.00006527334,0.00002365469,0.00007068952,0.00008831027,0.00008800089],"domain_scores_gemma":[0.9994505,0.000248049,0.00008096451,0.00004541437,0.0001301729,0.00004474493],"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":[0.000274776,0.0001504309,0.0003033279,0.000157143,0.00001947046,0.0002367136,0.000142053,0.8853546,0.01333752,0.00869076,0.002071567,0.08926165],"study_design_scores_gemma":[0.00001427943,0.00005378552,0.00006029497,0.000005422269,0.000007960844,0.00002144118,0.00002606194,0.9957576,0.001790868,0.001720209,0.000534884,0.000007161786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06951474,0.000536619,0.9191009,0.000269518,0.00006107636,0.00021578,0.00007696456,0.000616205,0.009608304],"genre_scores_gemma":[0.8203697,0.0003306115,0.1716642,0.00006514032,0.00003429028,0.0001791052,0.0001444106,0.0001179776,0.007094441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007756887,"threshold_uncertainty_score":0.02594936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190612166043197,"score_gpt":0.2571735869277598,"score_spread":0.2452674652673278,"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."}}