{"id":"W2032499563","doi":"10.1007/s10732-011-9175-1","title":"Quadratic bottleneck knapsack problems","year":2011,"lang":"fr","type":"article","venue":"Journal of Heuristics","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knapsack problem; Bottleneck; Heuristic; Continuous knapsack problem; Polynomial-time approximation scheme; Mathematical optimization; Mathematics; Quadratic equation; Point (geometry); Computational complexity theory; Approximation algorithm; Computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002709741,0.001383061,0.002063287,0.001754252,0.001558163,0.003137376,0.003439207,0.001946137,0.02491894],"category_scores_gemma":[0.01136619,0.001237937,0.0008500055,0.003160508,0.0009720456,0.005166162,0.002309172,0.003046443,0.003706441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001476568,"about_ca_system_score_gemma":0.001833561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667082,"about_ca_topic_score_gemma":0.004430947,"domain_scores_codex":[0.9979533,0.0006140227,0.0001148577,0.000332909,0.0005499148,0.0004350939],"domain_scores_gemma":[0.9944931,0.003393775,0.0002694463,0.00048142,0.001031733,0.0003305124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001465285,0.001403587,0.00147132,0.001992504,0.0001676745,0.0003220587,0.0002315685,0.4624974,0.004384006,0.2021514,0.07786141,0.2460517],"study_design_scores_gemma":[0.0001711557,0.0002211511,0.0005117432,0.0001107716,0.0000595896,0.0001654462,0.0001277689,0.8404853,0.003044037,0.1351786,0.01988922,0.00003526014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05469687,0.005286457,0.8567971,0.002071355,0.0009909144,0.0004174992,0.001474751,0.001359698,0.0769053],"genre_scores_gemma":[0.4940757,0.00442687,0.4267468,0.0006942779,0.0008728858,0.0005369171,0.004927144,0.000936552,0.0667828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02491894,"threshold_uncertainty_score":0.08336216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580082402390537,"score_gpt":0.2198655898053853,"score_spread":0.1740647657814799,"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."}}