{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001163475,0.000159596,0.0001316032,0.0001269314,0.0001688978,0.0001429175,0.000743621,0.0001650678,0.00007317455],"category_scores_gemma":[0.000006753191,0.0001503004,0.00007775555,0.000488872,0.00001307421,0.0001472594,0.00005221472,0.0001661425,0.0002178554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000044427,"about_ca_system_score_gemma":0.0001863498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001243772,"about_ca_topic_score_gemma":0.00007674151,"domain_scores_codex":[0.9987648,0.000008626001,0.0002361209,0.0004153329,0.0002981001,0.0002770507],"domain_scores_gemma":[0.9991951,0.00001662758,0.00008865671,0.0004621804,0.0001450266,0.00009242451],"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":[0.000001109352,0.00008979689,0.00002206448,0.0000349049,0.0000141962,0.000006386362,0.0001638617,0.00001833979,0.00006067559,0.08898591,0.002818704,0.907784],"study_design_scores_gemma":[0.0005487744,0.0002164184,0.06929839,0.0001810372,0.00006843809,0.00007583539,0.0005843284,0.08591907,0.005214639,0.04055487,0.7953593,0.001978851],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001440671,0.0007215944,0.8822665,0.0001808311,0.0005182173,0.0003536495,0.000001438461,0.0003802202,0.1141369],"genre_scores_gemma":[0.00380001,0.00005443308,0.9313601,0.00009502418,0.0001952527,0.0001341286,0.0001728984,0.00001850693,0.06416964],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9058052,"threshold_uncertainty_score":0.6129071,"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."}}