{"id":"W2118726465","doi":"10.1145/2330784.2331024","title":"Alpinist CellularDE","year":2012,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmark (surveying); Computer science; Local optimum; Local search (optimization); Evolutionary computation; Evolutionary algorithm; Artificial intelligence; Mathematical optimization; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000346094,0.0007655093,0.0006397168,0.000715941,0.0006216685,0.001661922,0.001567583,0.001048107,0.009968255],"category_scores_gemma":[0.001715395,0.0002990385,0.000762586,0.0008891658,0.0003668899,0.001151457,0.001344622,0.001108969,0.004089297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011105,"about_ca_system_score_gemma":0.0008639313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002655056,"about_ca_topic_score_gemma":0.004343602,"domain_scores_codex":[0.9997129,0.00006950465,0.00002683633,0.00006368259,0.00008185011,0.00004521788],"domain_scores_gemma":[0.9996014,0.0001202605,0.00002778427,0.00009765451,0.0001220311,0.00003087202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003259611,0.0001857061,0.002246668,0.0003698892,0.0001208024,0.0003237147,0.0001303815,0.4501929,0.007217495,0.08459102,0.03170888,0.4225865],"study_design_scores_gemma":[0.00007317507,0.00008664111,0.0002026988,0.00003689136,0.00003072161,0.0002247466,0.00003869712,0.8727287,0.004957666,0.02267435,0.09892378,0.00002198218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0151335,0.0008453137,0.9508176,0.0004793851,0.0003587109,0.0001532242,0.0005190279,0.004233418,0.02745988],"genre_scores_gemma":[0.1749893,0.001154559,0.7942795,0.0005353524,0.00008647199,0.0005535163,0.002338028,0.0007300365,0.02533321],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9900317,"threshold_uncertainty_score":0.03334713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644265830370595,"score_gpt":0.2810787584423271,"score_spread":0.2546361001386211,"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."}}