{"id":"W2892621690","doi":"10.5220/0006927800550066","title":"Expansion: A Novel Mutation Operator for Genetic Programming","year":2018,"lang":"en","type":"article","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Genetic programming; Computer science; Operator (biology); Mutation; Artificial intelligence; Genetics; Biology","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":[0.0005771071,0.0007002939,0.000631535,0.0005444965,0.0003587513,0.0005769366,0.001420266,0.0009985147,0.003504413],"category_scores_gemma":[0.001642395,0.0002448904,0.0005055472,0.0005866704,0.0006779882,0.001111662,0.001410974,0.001390814,0.0006312233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002595794,"about_ca_system_score_gemma":0.000468709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005884006,"about_ca_topic_score_gemma":0.0007919751,"domain_scores_codex":[0.9995514,0.0001049229,0.0000267412,0.0000800781,0.0001938577,0.00004308908],"domain_scores_gemma":[0.9995123,0.0002422031,0.00003238319,0.00007499133,0.0001039947,0.00003401739],"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":[0.0003243186,0.0002346986,0.0009580035,0.0003006129,0.00008350108,0.0006687732,0.0003154362,0.09665542,0.1318156,0.1194169,0.007741347,0.6414853],"study_design_scores_gemma":[0.0001117162,0.0002518323,0.0005293133,0.00006501336,0.0001005656,0.0009158448,0.00004896816,0.8843935,0.03883866,0.05251577,0.02217085,0.00005805782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01499576,0.0001866213,0.9795513,0.000143802,0.0001485541,0.00007671094,0.00004523905,0.001119045,0.003733032],"genre_scores_gemma":[0.3034777,0.0003497645,0.6830245,0.000404066,0.0001796189,0.0002244935,0.0001675696,0.0006337761,0.01153847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003504413,"threshold_uncertainty_score":0.01172346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213526835623724,"score_gpt":0.2782201645198534,"score_spread":0.2560848961636162,"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."}}