{"id":"W2898045284","doi":"10.1155/2018/9496026","title":"Design of a Submarine Vehicle for Higher Natural Frequency Using <i>U</i>  <sup>∗</sup> Index Theory Approach","year":2018,"lang":"en","type":"article","venue":"Shock and Vibration","topic":"Mechanical Engineering and Vibrations Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Submarine; Natural frequency; Index (typography); Natural (archaeology); Stiffness; Resonance (particle physics); Engineering; Control theory (sociology); Computer science; Marine engineering; Structural engineering; Acoustics; Physics; Vibration; Geology; Artificial intelligence; Control (management)","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":[0.0002425835,0.0001021229,0.0001236944,0.00008056337,0.00008470858,0.0000312657,0.00007228043,0.00008539114,0.00002752499],"category_scores_gemma":[0.00003728172,0.00009234004,0.00002630684,0.0001779313,0.0000384626,0.0001906624,0.00002005781,0.0001017414,0.000001458201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002162578,"about_ca_system_score_gemma":0.00001951058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006342128,"about_ca_topic_score_gemma":5.418933e-7,"domain_scores_codex":[0.9993699,0.00003628881,0.0001733935,0.0001360537,0.0001097097,0.000174647],"domain_scores_gemma":[0.9996439,0.00008491959,0.00001721899,0.0001317059,0.00007252599,0.00004970813],"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":[0.0002085668,0.00008673275,0.0001603144,0.0003998454,0.0001459096,5.892556e-7,0.0007838813,0.4890286,0.4501977,0.04537087,0.0004192612,0.01319772],"study_design_scores_gemma":[0.0003056265,0.00009389721,0.0001001923,0.00001268036,0.00001089106,0.000001535706,0.00002499363,0.9775587,0.0191979,0.002537852,0.00005323925,0.0001024481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08087169,0.0001741164,0.9182205,0.00001235916,0.000080584,0.000265024,0.000007023405,0.00009003207,0.0002787033],"genre_scores_gemma":[0.9686976,0.00001114097,0.03094188,0.00001432105,0.0001795642,0.00002987404,0.0000233151,0.00002369816,0.00007860961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8878259,"threshold_uncertainty_score":0.3765517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828635755712447,"score_gpt":0.2552804582153287,"score_spread":0.2269941006582043,"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."}}