{"id":"W4403764673","doi":"10.3390/a17110480","title":"Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems","year":2024,"lang":"en","type":"article","venue":"Algorithms","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Heuristics; Mathematical optimization; Nonlinear system; Computer science; Object (grammar); Packing problems; Algorithm; Mathematics; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001663865,0.0001679961,0.0001519918,0.0001132914,0.0000962987,0.0002033888,0.00006093689,0.00009471437,0.0000219639],"category_scores_gemma":[0.00002567453,0.000170048,0.00004578836,0.0002178331,0.00002927273,0.0001889094,0.00002152417,0.0001253608,0.000007337713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004040893,"about_ca_system_score_gemma":0.00002093036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004775909,"about_ca_topic_score_gemma":0.000002668636,"domain_scores_codex":[0.9992188,0.000008954331,0.0002037686,0.0002267147,0.0001072299,0.0002345805],"domain_scores_gemma":[0.9996333,0.0001058918,0.00001940393,0.0001096911,0.00006770623,0.00006397508],"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":[0.000001719116,0.000007655853,0.00001407381,0.0002757242,0.00006069555,0.000004175518,0.0006136932,0.9845294,0.0001342995,0.0004086452,0.0004856912,0.01346427],"study_design_scores_gemma":[0.000193955,0.00004916345,0.000005177616,0.0001926839,0.00003015025,0.00001733514,0.00004970259,0.9921833,0.00036399,0.0003142796,0.00638407,0.0002161731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002075622,0.002892301,0.9942248,0.00006056864,0.0007851138,0.0003873047,0.00005270081,0.0006987341,0.0006908452],"genre_scores_gemma":[0.1102897,0.001316405,0.8865732,0.00006243695,0.0006375842,0.0001154263,0.0002049411,0.0002020717,0.0005982695],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1100821,"threshold_uncertainty_score":0.6934355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685010870070756,"score_gpt":0.232071647581189,"score_spread":0.2152215388804814,"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."}}