{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009066482,0.001275297,0.001157202,0.001046567,0.0008304442,0.001268371,0.001870188,0.0009923166,0.0246513],"category_scores_gemma":[0.00301847,0.0009100522,0.001186698,0.0008123236,0.0005081548,0.001331063,0.001544147,0.001306784,0.004187588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006888214,"about_ca_system_score_gemma":0.001113474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008468923,"about_ca_topic_score_gemma":0.01414733,"domain_scores_codex":[0.999395,0.0001123583,0.00003616407,0.0001337787,0.0002621986,0.00006041771],"domain_scores_gemma":[0.9989753,0.0005648781,0.00005239826,0.0001316505,0.0002407712,0.00003502073],"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":[0.0004541682,0.0001920743,0.001057125,0.0002810761,0.0001505148,0.0001791674,0.0001696884,0.3622909,0.01413808,0.02193832,0.03980417,0.5593448],"study_design_scores_gemma":[0.0000392223,0.0000151722,0.0001338436,0.000006243058,0.000007809206,0.00001688541,0.00001150933,0.9878813,0.003622642,0.003065137,0.005186192,0.00001404009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007594164,0.0000660033,0.9541759,0.00007500575,0.00009699933,0.00003860825,0.0003579452,0.03320822,0.004387081],"genre_scores_gemma":[0.1899495,0.00008566719,0.7889249,0.0001270346,0.00007430583,0.0001973186,0.001814716,0.01172573,0.007100801],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0246513,"threshold_uncertainty_score":0.08246678,"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."}}