{"id":"W2761792028","doi":"10.3390/e19100533","title":"Cross Entropy Method Based Hybridization of Dynamic Group Optimization Algorithm","year":2017,"lang":"en","type":"article","venue":"Entropy","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Universidade de Macau","keywords":"Algorithm; Group (periodic table); Mathematics; Optimization algorithm; Entropy (arrow of time); Computer science; Mathematical optimization; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.001174386,0.0006945494,0.000908888,0.001069807,0.0004878927,0.0007420488,0.0009714886,0.0008732234,0.001739577],"category_scores_gemma":[0.001902317,0.0003132074,0.0006820471,0.0008240466,0.0006145852,0.0009472625,0.001193151,0.0005690763,0.0002606291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000560653,"about_ca_system_score_gemma":0.0006292549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409164,"about_ca_topic_score_gemma":0.0009168579,"domain_scores_codex":[0.9993172,0.0001922495,0.00003653817,0.0001218572,0.0002719209,0.00006022547],"domain_scores_gemma":[0.9994965,0.000231418,0.00005189221,0.00004388568,0.0001455436,0.0000307176],"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":[0.0001111031,0.00008674632,0.001367827,0.0000865603,0.0001304765,0.0001141787,0.0001720855,0.797482,0.01021355,0.01700413,0.001272953,0.1719585],"study_design_scores_gemma":[0.000009823078,0.0000430748,0.000170106,0.000003795066,0.00001281678,0.00003140529,0.000007153402,0.9960377,0.001148554,0.001773424,0.0007557964,0.000006336597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03003379,0.0002972476,0.9642547,0.0001068607,0.00007230754,0.00004820424,0.00001449611,0.0002919727,0.004880489],"genre_scores_gemma":[0.6870247,0.0002788799,0.3062125,0.0002170765,0.0000863064,0.0002863697,0.0001257776,0.000113144,0.005655218],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001739577,"threshold_uncertainty_score":0.006210864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686837621253734,"score_gpt":0.3407139876585352,"score_spread":0.3238456114459978,"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."}}