{"id":"W2132055170","doi":"10.1109/foci.2007.372167","title":"Simulated Annealing with Opposite Neighbors","year":2007,"lang":"en","type":"article","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Simulated annealing; Adaptive simulated annealing; Computer science; Annealing (glass); Opposition (politics); Rate of convergence; Algorithm; Mathematical optimization; Mathematics; Materials science","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":[0.0006690375,0.00009212985,0.00009911521,0.0001784061,0.00009844395,0.0001777245,0.000551501,0.00003663449,0.0001447145],"category_scores_gemma":[0.00006608252,0.00006718603,0.00001898168,0.0009517653,0.00003318323,0.0003084957,0.000131186,0.0001074948,0.00009247282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002678249,"about_ca_system_score_gemma":0.00005632043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003651496,"about_ca_topic_score_gemma":0.000006374114,"domain_scores_codex":[0.9986971,0.00003333047,0.0001842417,0.0002840981,0.0004549199,0.0003462799],"domain_scores_gemma":[0.9989142,0.0001881447,0.00004000625,0.0004295313,0.0002349119,0.0001932258],"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":[0.0001340192,0.000312709,0.009463791,0.00004521562,0.0001758833,0.0009885995,0.00135409,0.5105276,0.001426118,0.2326184,0.002285314,0.2406684],"study_design_scores_gemma":[0.0003269078,0.00006948166,0.001290796,0.000005315392,0.00000185006,0.00001544733,0.00001217283,0.9940869,0.002650182,0.000123536,0.001295862,0.0001215227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002717166,0.00001909054,0.971519,0.0003558118,0.00007082414,0.000125896,3.208458e-7,0.0002378747,0.024954],"genre_scores_gemma":[0.3505952,0.000003959766,0.6461629,0.0003890691,0.00003402668,8.015794e-7,0.000002373005,0.00001059363,0.002801075],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4835594,"threshold_uncertainty_score":0.2739767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126460939955552,"score_gpt":0.2681736353011252,"score_spread":0.2569090259015697,"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."}}