{"id":"W4414158670","doi":"10.1007/978-3-031-94940-1_22","title":"Genetic Algorithm Visualization","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Knapsack problem; Attractor; Crossover; Visualization; Set (abstract data type); Genetic algorithm; Mutation","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":[0.0002997072,0.0009273757,0.0004971964,0.001060237,0.0003820819,0.001736198,0.0009838683,0.0008610955,0.06296286],"category_scores_gemma":[0.001258642,0.0003695859,0.0006334695,0.001183675,0.0002783333,0.00089198,0.0009092436,0.001057756,0.01340215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004558629,"about_ca_system_score_gemma":0.0006266665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001734459,"about_ca_topic_score_gemma":0.002038192,"domain_scores_codex":[0.999821,0.00003850582,0.000006479886,0.00003328005,0.00008667875,0.00001409752],"domain_scores_gemma":[0.9997305,0.0001045313,0.00001081352,0.0000521338,0.00008374421,0.00001820096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009945789,0.00006994962,0.0003894837,0.0002934067,0.00004603255,0.0001854503,0.0001455944,0.07239717,0.01613386,0.08328382,0.1727848,0.6541709],"study_design_scores_gemma":[0.00005053894,0.00006253672,0.0005513357,0.0002101107,0.00003506206,0.0003575143,0.00008384994,0.4865514,0.02430977,0.09946191,0.3882727,0.00005319868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005559201,0.001408918,0.7763156,0.001175288,0.0008703733,0.000120258,0.001760118,0.02165892,0.1911313],"genre_scores_gemma":[0.1073073,0.00243847,0.7074626,0.0006428601,0.0002381402,0.000319296,0.003810294,0.007290839,0.1704902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06296286,"threshold_uncertainty_score":0.2106317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142362223658602,"score_gpt":0.2925825586186038,"score_spread":0.2711589363820178,"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."}}