{"id":"W2967138803","doi":"","title":"Automatic Hull Variation and Optimization Using SNAME's OpenCalc System","year":2016,"lang":"en","type":"article","venue":"SNAME Maritime Convention","topic":"Ship Hydrodynamics and Maneuverability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Variation (astronomy); Hull; Computer science; Artificial intelligence; Engineering; Marine engineering","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":[0.0003166355,0.0001399454,0.0001707658,0.00009353687,0.00007733261,0.00007461174,0.00006941523,0.0001095843,0.0002496127],"category_scores_gemma":[0.0000400105,0.0001259507,0.0000471602,0.0001117115,0.00003185957,0.0003533376,0.00003777699,0.0000561146,0.00002309206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933404,"about_ca_system_score_gemma":0.00001450075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005659569,"about_ca_topic_score_gemma":0.000009263003,"domain_scores_codex":[0.9991084,0.00006328514,0.0002931949,0.0002169849,0.000131434,0.0001866979],"domain_scores_gemma":[0.9995643,0.00005060758,0.0000610342,0.0002020253,0.00005682366,0.0000651345],"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":[0.00009278485,0.0003323604,0.01522644,0.007213827,0.0006400162,0.00005374334,0.001409485,0.6259243,0.09182631,0.1042828,0.0004026422,0.1525953],"study_design_scores_gemma":[0.0004584747,0.00001892651,0.006103634,0.0001906398,0.00004432745,0.00001848915,0.00001913506,0.9921308,0.0001311559,0.0006688526,0.00004423137,0.0001712908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4408626,0.00006180834,0.556583,0.00007177852,0.000554858,0.0003488327,0.00001501964,0.0004572945,0.001044823],"genre_scores_gemma":[0.9944218,0.00001595472,0.005363571,0.000007501412,0.0000519055,0.00002016749,0.00002030725,0.00002986258,0.00006897475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5535592,"threshold_uncertainty_score":0.5136119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007932483616108665,"score_gpt":0.1999823971240824,"score_spread":0.1920499135079737,"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."}}