{"id":"W4231385108","doi":"10.22215/etd/2008-08966","title":"Grammar-based object-oriented genetic programming: an initial implementation","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Grammar; Object (grammar); Programming language; Artificial intelligence; Linguistics; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008669379,0.0003016293,0.000207889,0.0002358811,0.0004471543,0.0001505813,0.0007032548,0.0001861311,0.0001030039],"category_scores_gemma":[0.000006660019,0.0003104846,0.0001217903,0.0006550775,0.00003384165,0.0003841515,0.00003460402,0.0002086673,0.00005899133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008705816,"about_ca_system_score_gemma":0.0006219938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898106,"about_ca_topic_score_gemma":0.000770402,"domain_scores_codex":[0.9978523,0.00006705555,0.0004705298,0.0007296818,0.0005015589,0.0003788961],"domain_scores_gemma":[0.9985614,0.0000319016,0.0002470154,0.0006753168,0.0003109241,0.0001734227],"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":[0.00003451802,0.001204481,0.0005223399,0.00009428085,0.00007641243,0.00005291135,0.002285803,0.0002312806,0.0005722797,0.05666097,0.004284173,0.9339805],"study_design_scores_gemma":[0.008323829,0.004446634,0.2113815,0.0001938596,0.0003526043,0.0002329283,0.007843784,0.363849,0.03067498,0.01113629,0.3546035,0.006961096],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05927246,0.0001650261,0.9331697,0.0002300029,0.001008391,0.001709722,0.00003230658,0.0009293824,0.00348308],"genre_scores_gemma":[0.1842736,0.00005769266,0.7966462,0.0003106129,0.0005483498,0.001613082,0.01359665,0.00007540799,0.002878386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9270195,"threshold_uncertainty_score":0.9999347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882249039558345,"score_gpt":0.3257691646648061,"score_spread":0.3069466742692227,"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."}}