{"id":"W4406003278","doi":"10.54097/hv93mk65","title":"Techniques for Reducing Frictional Resistance to Enhance Hydrodynamic Performance and Fuel Efficiency","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Drag; Hull; Lubrication; Fuel efficiency; Air bubble; Reduction (mathematics); Marine engineering; Mechanical engineering; Aerospace engineering; Engineering; Materials science; Composite material","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":[0.000283864,0.0001455742,0.0001403053,0.00120946,0.00009249058,0.00004299092,0.0001840155,0.0001149434,7.431594e-7],"category_scores_gemma":[0.00006708732,0.0001446019,0.00001069139,0.001657017,0.0001204593,0.0002165367,0.00004345435,0.0001917851,0.000006485847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009525,"about_ca_system_score_gemma":0.00002334821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.247573e-7,"about_ca_topic_score_gemma":0.00000272489,"domain_scores_codex":[0.9989946,0.000001746361,0.0001849347,0.0003818666,0.00009036391,0.0003464499],"domain_scores_gemma":[0.9996741,0.00006765818,0.000008628808,0.0001624408,0.00002974068,0.00005741163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001021425,0.0000259132,0.0001911506,0.001244825,0.00002242766,0.00001722416,0.001023237,0.1359757,0.5080066,0.326269,0.000375246,0.02683852],"study_design_scores_gemma":[0.00007510364,0.00007228769,0.001255528,0.0004433774,0.000006709207,0.00004964868,0.00002149373,0.803315,0.1395115,0.0005634702,0.05428587,0.0004000222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8816047,0.003980949,0.109666,0.001136614,0.0007054345,0.0003126527,0.000007613131,0.002146398,0.0004396292],"genre_scores_gemma":[0.9825417,0.000523776,0.01663192,0.0000047657,0.00004279477,0.0001505555,7.742503e-7,0.00001931999,0.00008443953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6673393,"threshold_uncertainty_score":0.5896696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002953815649196832,"score_gpt":0.2176660339106229,"score_spread":0.2147122182614261,"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."}}