{"id":"W2051644915","doi":"10.1109/ccece.2014.6901103","title":"Simulated Raindrop algorithm for global optimization","year":2014,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Robustness (evolution); Simulated annealing; Benchmark (surveying); Computer science; Algorithm; Convergence (economics); Mathematical optimization; Mathematics; Geology","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":[0.0006142489,0.0001253297,0.0001594537,0.00007887713,0.0001410922,0.0002647855,0.0007307488,0.00007401259,0.0001322795],"category_scores_gemma":[0.0004706306,0.0001125472,0.00005935205,0.0006684518,0.00003279649,0.0003224859,0.0001709942,0.00005392254,0.00005702695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005929107,"about_ca_system_score_gemma":0.00007313657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009087616,"about_ca_topic_score_gemma":6.000583e-7,"domain_scores_codex":[0.9985026,0.0001140063,0.0002554045,0.0004119499,0.0003797346,0.0003363171],"domain_scores_gemma":[0.9985994,0.000231785,0.00006445257,0.0004954212,0.0004465162,0.0001624632],"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":[0.000001659558,0.00003734848,0.000009675437,0.00000431406,0.000011318,7.185245e-7,0.00001233584,0.6087668,0.000001620804,0.0425259,0.001048767,0.3475795],"study_design_scores_gemma":[0.0007100073,0.00008367976,0.00001831008,0.000002534892,0.000003342743,0.000004902054,0.000002078768,0.9909188,0.00007730539,0.002584972,0.005453563,0.0001405101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000003491063,0.000008987665,0.9893692,0.0006693736,0.0002965693,0.0003898114,0.000005210568,0.000307639,0.008949735],"genre_scores_gemma":[0.001927937,0.000004080678,0.9954784,0.0004032112,0.00008169159,0.00001585,0.00002304669,0.00001001747,0.002055772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.382152,"threshold_uncertainty_score":0.4589542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793638668211045,"score_gpt":0.2984521404160593,"score_spread":0.2805157537339488,"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."}}