{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004148461,0.00005267026,0.0000603065,0.00006181121,0.00006117875,0.0001015825,0.0005199962,0.00002195645,0.0007721291],"category_scores_gemma":[0.00008059195,0.00004341885,0.00002368575,0.000258695,0.00002093525,0.0003672678,0.0002156008,0.00005981133,0.001693581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001343553,"about_ca_system_score_gemma":0.00002647936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005925458,"about_ca_topic_score_gemma":1.650635e-7,"domain_scores_codex":[0.999136,0.00005385831,0.0001028128,0.0001227281,0.000290907,0.0002937261],"domain_scores_gemma":[0.9992763,0.00005342011,0.00001804515,0.0004120255,0.00005573644,0.0001844143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001022257,0.0001755404,0.001899981,0.000008685039,0.00001486332,0.000005839388,0.0003469219,0.0001102589,0.0003316331,0.9163314,0.0287901,0.05198377],"study_design_scores_gemma":[0.0003029121,0.00003228619,0.002685881,0.000002396378,0.000002648336,0.00003047972,0.00002152931,0.6234633,0.008324286,0.001100792,0.3637558,0.0002776763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006144087,0.00007923933,0.8840324,0.0006589597,0.0003019389,0.00005299181,2.424537e-7,0.0001236234,0.1146891],"genre_scores_gemma":[0.169988,0.00001104675,0.8122789,0.0003796608,0.0001321111,0.000007886884,0.000001587751,0.000006116295,0.01719478],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9152306,"threshold_uncertainty_score":0.9990837,"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."}}