{"id":"W2956371263","doi":"10.11606/d.18.2019.tde-07052019-161115","title":"Aplicação de algoritmos genéticos na otimização da topologia e geometria do &gt;i&lt;layout&gt;/i&lt; de um estaleiro","year":2019,"lang":"pt","type":"dissertation","venue":"","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Humanities; Physics; Mathematics; 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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0006783567,0.001674055,0.001534524,0.0009552174,0.0004443758,0.0005697008,0.001133802,0.002257899,0.001561194],"category_scores_gemma":[0.001050952,0.00182787,0.000542359,0.0009553475,0.0001360639,0.0004607846,0.0001970563,0.001639421,0.0006649523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001286286,"about_ca_system_score_gemma":0.000378002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001831621,"about_ca_topic_score_gemma":0.00003885761,"domain_scores_codex":[0.9938329,0.0001834794,0.001481981,0.00157163,0.0007759636,0.00215399],"domain_scores_gemma":[0.9959372,0.0007372809,0.0006367603,0.001624238,0.0004254906,0.0006390741],"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":[0.0001473475,0.0002042805,0.0002215553,0.001061734,0.0003703038,0.00006428629,0.001614232,0.9665932,0.001931448,0.003379873,0.0007074638,0.02370429],"study_design_scores_gemma":[0.002250721,0.0004017657,0.001225452,0.0003983724,0.0008336745,0.00007383039,0.001886155,0.9755381,0.01090784,0.001246172,0.002121182,0.003116693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02985747,0.001483137,0.9541145,0.00006199488,0.003039758,0.001625278,0.0002821904,0.001211525,0.008324138],"genre_scores_gemma":[0.8304073,0.001641708,0.1446395,0.0002059946,0.0004113767,0.0002263624,0.003868382,0.0005316505,0.01806772],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.809475,"threshold_uncertainty_score":0.9996006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599121169846278,"score_gpt":0.2637534725937438,"score_spread":0.247762260895281,"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."}}