{"id":"W4391890201","doi":"10.1007/978-3-031-49295-2_4","title":"Size Optimization","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadore College","funders":"","keywords":"Computer science","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":[0.000322163,0.0009794747,0.0007512143,0.0008880169,0.0005848467,0.001133469,0.001411204,0.0007561153,0.07859811],"category_scores_gemma":[0.001385692,0.0004488035,0.0006375998,0.001027839,0.000584378,0.001891431,0.001590574,0.001316737,0.02168319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008732071,"about_ca_system_score_gemma":0.0006647282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008860116,"about_ca_topic_score_gemma":0.001516711,"domain_scores_codex":[0.9995566,0.00004044123,0.00001271072,0.0001036037,0.0002386418,0.00004793701],"domain_scores_gemma":[0.9996417,0.000104318,0.00002223747,0.0001087731,0.0000918486,0.00003111677],"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":[0.0001254252,0.00009200561,0.0002163734,0.0003676664,0.00002911748,0.00007094092,0.00005982627,0.0445301,0.030957,0.2012661,0.1182621,0.6040233],"study_design_scores_gemma":[0.00004909204,0.0001622467,0.0007934059,0.0001503655,0.00005330944,0.0005102037,0.00008371656,0.1828916,0.04673561,0.1830456,0.5854669,0.00005810895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00599084,0.003396449,0.4631749,0.001287607,0.0009143533,0.0001537865,0.0007267175,0.003530628,0.5208247],"genre_scores_gemma":[0.1291551,0.004655622,0.2270323,0.001068076,0.0006668133,0.0004867937,0.002173312,0.00477912,0.6299829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07859811,"threshold_uncertainty_score":0.2629369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184608861927017,"score_gpt":0.2223375410829743,"score_spread":0.2104914524637041,"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."}}