{"id":"W2557392070","doi":"10.4043/27356-ms","title":"Improved Added Mass Modeling for Ship-Ice Interactions Based on Numerical Results and Analytical Models","year":2016,"lang":"en","type":"article","venue":"Arctic Technology Conference","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Added mass; Numerical models; Mechanics; Work (physics); Function (biology); Marine engineering; Computer simulation; Environmental science; Geology; Engineering; Mechanical engineering; Physics","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":[0.0002195761,0.0001911656,0.000237276,0.0001964355,0.0002002927,0.00003480506,0.0002590019,0.0001748898,0.0001509471],"category_scores_gemma":[0.0004223733,0.0001313359,0.00005546722,0.0001968546,0.0002691346,0.000213132,0.00001806503,0.0002572841,0.00002456133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002397371,"about_ca_system_score_gemma":0.0001003464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000222387,"about_ca_topic_score_gemma":0.0001681008,"domain_scores_codex":[0.9985909,0.00003526526,0.0003125179,0.000510013,0.0001290318,0.0004222678],"domain_scores_gemma":[0.9986122,0.0006945897,0.0000898658,0.000337021,0.0001416359,0.0001246333],"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":[0.005948174,0.0004007886,0.04899527,0.0002142925,0.0003715012,0.0000678162,0.000598616,0.04022178,0.001814433,0.1445447,0.0002041193,0.7566186],"study_design_scores_gemma":[0.0006057672,0.0003311256,0.0003262394,0.00007936324,0.00003616984,0.00001414179,0.0002329061,0.9476749,0.00004544807,0.05033897,0.0001229517,0.0001920599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06978299,0.00001059872,0.9100698,0.01770056,0.0001533586,0.0002827507,0.0001608298,0.0001789485,0.001660173],"genre_scores_gemma":[0.9829387,0.00002979844,0.01640859,0.0003653073,0.00003199392,0.00001105699,0.00002985457,0.000006729175,0.0001779706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9131557,"threshold_uncertainty_score":0.5355724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152902410492772,"score_gpt":0.2466454618105806,"score_spread":0.2151164377056528,"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."}}