{"id":"W2070705130","doi":"10.1007/s11128-013-0686-6","title":"A quantum genetic algorithm with quantum crossover and mutation operations","year":2013,"lang":"en","type":"article","venue":"Quantum Information Processing","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Crossover; Quantum computer; Quantum; Quantum algorithm; Quantum sort; Speedup; Qubit; Context (archaeology)","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002252862,0.0003096561,0.0002429728,0.0002974581,0.0008625775,0.002548637,0.0004469,0.0001049772,0.00002024784],"category_scores_gemma":[0.00004919755,0.0002440224,0.00004162524,0.0006905226,0.0001345672,0.005929062,0.0001635489,0.0002847027,0.0001377353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004155825,"about_ca_system_score_gemma":0.0002253461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001982985,"about_ca_topic_score_gemma":0.00000404899,"domain_scores_codex":[0.9979914,0.0000554045,0.0006124623,0.0003572492,0.0005039778,0.0004795108],"domain_scores_gemma":[0.998657,0.00005933208,0.0002522258,0.0003630291,0.0004821373,0.0001862786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008424931,0.00005489163,0.0001020142,0.0001631918,0.00002260299,0.000009246984,0.008320626,0.0294622,0.0001041248,0.01963331,0.0002461238,0.9418733],"study_design_scores_gemma":[0.0006586844,0.0001952514,0.005014649,0.0001110495,0.00000960333,0.0002847491,0.0004650793,0.9860772,0.0001253973,0.00605191,0.0006164216,0.0003900121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2386331,0.0001798336,0.7594619,0.0007645014,0.0001473666,0.0003589313,0.000003965275,0.0003244638,0.0001259175],"genre_scores_gemma":[0.7903154,0.00001308879,0.2086936,0.0007614173,0.00007336948,0.00007616324,0.00002413129,0.0000176041,0.00002518417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.956615,"threshold_uncertainty_score":0.9984868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005698009672920753,"score_gpt":0.2164494338556923,"score_spread":0.2107514241827716,"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."}}