{"id":"W2198558934","doi":"10.1115/omae2015-42114","title":"Model-Scale/Full-Scale Correlation of NRC-OCRE’s Model Resistance, Propulsion and Maneuvering Test Results","year":2015,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Newfoundland and Labrador Centre for Applied Health Research","funders":"","keywords":"Full scale; Marine engineering; Scale (ratio); Litmus; Scale model; Test (biology); Engineering; Propulsion; Correlation coefficient; Marine propulsion; Aerospace engineering; Computer science; Geology; Structural engineering; Geography; Machine learning","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":[0.004352167,0.0007009595,0.0006768197,0.001932125,0.0005862955,0.001030538,0.000951434,0.0004025157,0.002816132],"category_scores_gemma":[0.01065993,0.0003648173,0.0008955072,0.001821956,0.000394724,0.001027334,0.0007041231,0.0006845953,0.001387777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893826,"about_ca_system_score_gemma":0.0023034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03626508,"about_ca_topic_score_gemma":0.06447197,"domain_scores_codex":[0.9963914,0.0003870807,0.0001739823,0.0004374442,0.002407846,0.0002021674],"domain_scores_gemma":[0.9892156,0.001810948,0.0006245815,0.002272292,0.005857454,0.000219252],"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":[0.000951106,0.0009798087,0.2651299,0.0004717404,0.0004039083,0.0006462983,0.0007082818,0.3917899,0.04514893,0.001951977,0.03501529,0.2568029],"study_design_scores_gemma":[0.0001270566,0.001480296,0.533587,0.0001611319,0.0001680562,0.0003291407,0.0007783486,0.3500801,0.0801416,0.0006369847,0.03225219,0.0002580498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503339,0.0004402058,0.08097978,0.0004066379,0.0002146144,0.0009938722,0.0131177,0.003577722,0.04993566],"genre_scores_gemma":[0.9599516,0.0002167331,0.02161913,0.00007656305,0.00002238698,0.0002553287,0.01180003,0.0006007088,0.005457454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03626508,"threshold_uncertainty_score":0.07210797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938914459232104,"score_gpt":0.2086411399316557,"score_spread":0.1892519953393346,"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."}}