{"id":"W105160805","doi":"","title":"On the Selection of Design Wave Conditions","year":2000,"lang":"en","type":"article","venue":"International Journal of Offshore and Polar Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Geology; Marine engineering; Computer science; Environmental science; Engineering; Artificial intelligence","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":[0.00009752327,0.00005921664,0.00006920707,0.00009424724,0.00001666714,0.00002249278,0.00007377859,0.00002637993,0.0002744781],"category_scores_gemma":[0.00001914377,0.00004433415,0.00003190548,0.00004300437,0.000007393937,0.00009869851,0.000003064175,0.0001131969,0.000001388437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001870253,"about_ca_system_score_gemma":0.00000684958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001394165,"about_ca_topic_score_gemma":2.416708e-7,"domain_scores_codex":[0.9996114,0.000006108201,0.0001646815,0.00003003965,0.0001347619,0.00005304061],"domain_scores_gemma":[0.9997758,0.00007092242,0.00003418697,0.0000274854,0.00006842978,0.00002315373],"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":[0.00001407063,0.000007719588,0.00003999479,0.00000877529,0.00008163986,0.000002976883,0.0001084722,0.9940621,0.0008568161,0.0007572708,0.0003636156,0.003696504],"study_design_scores_gemma":[0.0003414684,0.0001222759,0.004123107,0.0001948612,0.00003121156,0.0002060325,0.00002111483,0.942631,0.04526646,0.0006102891,0.006313234,0.000138951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8344105,0.0003492126,0.1633259,0.0002807401,0.0004864098,0.00007171377,0.00001341954,0.00003822516,0.001023845],"genre_scores_gemma":[0.998211,0.000268191,0.001349225,0.00002295147,0.0001066858,9.902376e-7,0.000001891483,0.000009184561,0.00002994031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1638004,"threshold_uncertainty_score":0.3005342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062646802113428,"score_gpt":0.2071133508520225,"score_spread":0.1964868828308882,"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."}}