{"id":"W2796786220","doi":"","title":"Response Based Design: Use of Extreme Response Events vs. Metocean Events","year":2016,"lang":"en","type":"article","venue":"The 26th International Ocean and Polar Engineering Conference","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Intecsea (Canada)","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":[0.006808622,0.0007396237,0.0005379079,0.0007478915,0.0004703803,0.001968912,0.001328155,0.0007918653,0.006699416],"category_scores_gemma":[0.02040226,0.0004005969,0.000585548,0.0004596612,0.0005139626,0.001263057,0.001379683,0.0008979663,0.0007894475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495847,"about_ca_system_score_gemma":0.000736815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005955935,"about_ca_topic_score_gemma":0.0008964895,"domain_scores_codex":[0.9931845,0.004127854,0.0004681894,0.0007384313,0.001209076,0.0002720631],"domain_scores_gemma":[0.9876051,0.007010585,0.001539062,0.001539934,0.001856012,0.0004492771],"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":[0.0174187,0.003269739,0.04438749,0.003333688,0.001019344,0.0004006923,0.003292415,0.1281043,0.09494376,0.04869548,0.004132573,0.6510019],"study_design_scores_gemma":[0.003899821,0.02008739,0.05576808,0.0009046169,0.001937486,0.0006981457,0.002926286,0.6141501,0.1850336,0.05523213,0.05898083,0.0003815347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3362319,0.0003729665,0.630253,0.0005851011,0.0003308321,0.001514447,0.0004360858,0.002454972,0.02782066],"genre_scores_gemma":[0.883046,0.0001058354,0.1126635,0.0002864812,0.00003484335,0.0008001491,0.0001819164,0.0002884495,0.002592928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006808622,"threshold_uncertainty_score":0.03600788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06667093439896517,"score_gpt":0.2636150467165367,"score_spread":0.1969441123175715,"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."}}