{"id":"W4244270277","doi":"10.22215/etd/2011-07154","title":"Exchange inlet design optimization by genetic algorithm","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science; Algorithm","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005337408,0.0004678018,0.0004376982,0.0005481036,0.0001846011,0.0004343763,0.001994157,0.0004586659,0.003286854],"category_scores_gemma":[0.0001437319,0.0004590191,0.0001022613,0.0009453784,0.00003507473,0.0004427848,0.0001727295,0.0003848034,0.0004558881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008245867,"about_ca_system_score_gemma":0.0003528094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008159013,"about_ca_topic_score_gemma":0.000005582372,"domain_scores_codex":[0.9963974,0.0003920129,0.000612408,0.001009403,0.001013955,0.0005748014],"domain_scores_gemma":[0.9974989,0.0001368232,0.0003295791,0.001075336,0.0006676804,0.0002917028],"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":[0.00002022996,0.0002172652,0.000002440095,0.0001532415,0.000126099,0.00005017629,0.001258502,0.02331095,0.00002224494,0.0006731459,0.1076544,0.8665113],"study_design_scores_gemma":[0.000317798,0.0001242207,0.00001739633,0.0000285823,0.0000240518,0.000008811549,0.00002896893,0.9931187,0.001286868,0.0003757243,0.004136117,0.0005327308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001159024,0.001296659,0.9815332,0.00003962253,0.001073806,0.0008765708,0.00001799719,0.0003526581,0.01480836],"genre_scores_gemma":[0.000004074365,0.001299188,0.8919212,0.0001220408,0.00009540118,0.0002023174,0.0007797102,0.00007429544,0.1055018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9698078,"threshold_uncertainty_score":0.9997861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229938946203255,"score_gpt":0.2758832408898755,"score_spread":0.2435838514278429,"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."}}