{"id":"W4391890132","doi":"10.1007/978-3-031-49295-2_3","title":"Metaheuristics Methods","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadore College","funders":"","keywords":"Metaheuristic; Computer science; Artificial intelligence","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":[0.0004670096,0.00157174,0.001105077,0.001279867,0.0005715564,0.002341266,0.00150397,0.001825353,0.04941761],"category_scores_gemma":[0.001432047,0.0005214732,0.0007988068,0.001933918,0.0007164764,0.001648255,0.001342783,0.002455841,0.02398542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00069374,"about_ca_system_score_gemma":0.0007518346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007162396,"about_ca_topic_score_gemma":0.001264724,"domain_scores_codex":[0.9994888,0.0001285016,0.00001634439,0.0000711641,0.0002648746,0.00003023269],"domain_scores_gemma":[0.9997128,0.0001351631,0.00001809309,0.00005994881,0.00005954466,0.00001439945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003245267,0.00008997222,0.0001271833,0.0005704028,0.00008170452,0.00008067374,0.00007954967,0.03281349,0.002166859,0.247829,0.150315,0.5658137],"study_design_scores_gemma":[0.00002151007,0.00005665143,0.0001953916,0.0003617566,0.00004088754,0.0002431217,0.00005401182,0.06828192,0.002126221,0.2223769,0.7062122,0.00002947548],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001575621,0.02642751,0.5099277,0.001926146,0.003113902,0.0001560803,0.0004566021,0.001379565,0.4550368],"genre_scores_gemma":[0.03937542,0.02744177,0.337788,0.00204704,0.001850327,0.000498375,0.001176792,0.001433918,0.5883884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04941761,"threshold_uncertainty_score":0.1653184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0593214670761827,"score_gpt":0.3770518591937105,"score_spread":0.3177303921175278,"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."}}