{"id":"W3128347158","doi":"10.1115/1.4049122","title":"A Theoretical Model for Ship–Wave Impact Generated Sea Spray","year":2020,"lang":"en","type":"article","venue":"Journal of Offshore Mechanics and Arctic Engineering","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Mitacs","keywords":"Sea spray; Flux (metallurgy); Deck; Spray characteristics; Marine engineering; Environmental science; Hull; Spray nozzle; Full scale; Meteorology; Mechanics; Engineering; Materials science; Structural engineering; Physics; Nozzle; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003816005,0.0006914278,0.0005548997,0.0008903412,0.0006021045,0.0008477943,0.001561647,0.001632408,0.00575854],"category_scores_gemma":[0.001182116,0.0004180717,0.0007802887,0.0005962697,0.0008251133,0.001012019,0.0008327449,0.000834109,0.000974088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246833,"about_ca_system_score_gemma":0.0009396063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0147555,"about_ca_topic_score_gemma":0.005677386,"domain_scores_codex":[0.9998201,0.00003542201,0.000008297905,0.00004118487,0.00006985415,0.00002512292],"domain_scores_gemma":[0.9996717,0.0001385792,0.00004768999,0.00001405915,0.0001146498,0.00001337113],"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":[0.000008591843,0.00002613876,0.0004452147,0.00005508786,0.000009215109,0.00008638482,0.00007000621,0.9679497,0.001706086,0.02535502,0.0007916023,0.003496879],"study_design_scores_gemma":[0.000002032186,0.000006503349,0.00009994728,0.000003802606,0.000002575805,0.000009824907,0.000007240074,0.9975742,0.00005651396,0.00192096,0.0003130428,0.000003373298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05283257,0.0006002391,0.8834948,0.0009450285,0.0001362479,0.0001527442,0.0005940393,0.0004401015,0.06080427],"genre_scores_gemma":[0.9441222,0.0008781678,0.02610875,0.0001923377,0.000106279,0.0004884394,0.0004344871,0.0001176416,0.02755172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0147555,"threshold_uncertainty_score":0.02933919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183145686317068,"score_gpt":0.2243984410600796,"score_spread":0.2025669841969089,"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."}}