{"id":"W2519194527","doi":"10.22215/etd/2007-06411","title":"Towards scalable genetic programming","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Computer science; Humanities; Art","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":[0.001449642,0.0006918638,0.0007655611,0.0008337116,0.0005816726,0.00214573,0.001680217,0.001136931,0.006344643],"category_scores_gemma":[0.005893345,0.0005099616,0.0007459362,0.001375342,0.001013938,0.002095923,0.002265012,0.002494439,0.002074218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237385,"about_ca_system_score_gemma":0.001883753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003305607,"about_ca_topic_score_gemma":0.005345254,"domain_scores_codex":[0.9989605,0.0003247103,0.00004922485,0.0001872508,0.000364727,0.0001136073],"domain_scores_gemma":[0.9982672,0.000754012,0.00007081217,0.0004921338,0.0003072463,0.000108556],"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":[0.0001449535,0.000159095,0.000978142,0.000287423,0.00009654008,0.0001810844,0.0002305203,0.381404,0.01322854,0.2502398,0.02042062,0.3326294],"study_design_scores_gemma":[0.00004976868,0.00003555129,0.0001486197,0.00005182186,0.0000229014,0.00005081198,0.00006547013,0.7989336,0.002891166,0.1690654,0.02867457,0.00001036808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01394163,0.0006633516,0.967421,0.001413341,0.0002144289,0.00009035,0.0001528334,0.0028601,0.01324296],"genre_scores_gemma":[0.1284367,0.001056862,0.8599367,0.0004813681,0.0001515013,0.0002175792,0.0007717539,0.0007291275,0.008218459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006344643,"threshold_uncertainty_score":0.02122498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269992822284226,"score_gpt":0.2913360969828676,"score_spread":0.2786361687600253,"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."}}