{"id":"W4300891416","doi":"10.5957/icetech-2006-126","title":"Mathematical Modeling of Ice-Hull Interaction for Ship Maneuvering in Ice Simulations","year":2006,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Memorial University of Newfoundland","funders":"","keywords":"Hull; Buoyancy; Marine engineering; Computation; Parametric statistics; Sea ice; Simulation; Parametric model; Computer science; Meteorology; Engineering; Mechanics; Mathematics; Physics; Algorithm","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":[0.0003330126,0.0004785414,0.0005104177,0.0003449306,0.0003683178,0.0006238879,0.0009828054,0.0007633719,0.001961093],"category_scores_gemma":[0.0008452854,0.0002705398,0.0005921843,0.000332065,0.0004167224,0.0008016679,0.0006506051,0.0006944239,0.0006460007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043069,"about_ca_system_score_gemma":0.0006629384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002678839,"about_ca_topic_score_gemma":0.00200731,"domain_scores_codex":[0.9998559,0.00003550322,0.00000945003,0.00001529123,0.00006563226,0.00001817264],"domain_scores_gemma":[0.9998294,0.00008087641,0.00002711435,0.00001493013,0.00003546956,0.00001219895],"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":[0.000009734882,0.00001343864,0.0002174544,0.00003709751,0.000006997511,0.00006519006,0.00003863179,0.9629875,0.002962104,0.02996892,0.0003220592,0.003370887],"study_design_scores_gemma":[0.000001519453,0.000004608889,0.00003670155,0.000002153107,0.000001337724,0.000007955706,0.000002948581,0.9972475,0.0001604341,0.001891822,0.0006412258,0.000001753585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01501659,0.0003317409,0.9767781,0.00009852391,0.00004823703,0.0000451709,0.0001113395,0.0001581773,0.007412151],"genre_scores_gemma":[0.8072987,0.001399686,0.173826,0.0001078792,0.0001139589,0.0007756964,0.0003350253,0.0001996399,0.01594349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002678839,"threshold_uncertainty_score":0.006560445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820433475367388,"score_gpt":0.2532644337098411,"score_spread":0.2250600989561673,"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."}}