{"id":"W2330443947","doi":"10.2514/6.2001-2566","title":"FENSAP-ICE - A comprehensive 3D simulation system for in-flight icing","year":2001,"lang":"en","type":"article","venue":"15th AIAA Computational Fluid Dynamics Conference","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Icing; Aerospace engineering; Computer science; Environmental science; Meteorology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007472144,0.001733719,0.001551889,0.0007348729,0.001180092,0.001303868,0.002917902,0.001794097,0.02012599],"category_scores_gemma":[0.001612098,0.001113756,0.0013534,0.0006668577,0.0006436909,0.00136955,0.00143353,0.002005104,0.002899828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009530821,"about_ca_system_score_gemma":0.002333962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123575,"about_ca_topic_score_gemma":0.02199894,"domain_scores_codex":[0.9996237,0.00008264172,0.00002078105,0.00004473215,0.0001723847,0.00005579279],"domain_scores_gemma":[0.9992798,0.00024511,0.00003107598,0.0001084875,0.0002157433,0.0001198491],"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":[0.0002432084,0.0001411589,0.001673342,0.0001377255,0.0001382234,0.0001467197,0.0001439932,0.9591384,0.004057749,0.002431035,0.01789555,0.01385277],"study_design_scores_gemma":[0.00009358803,0.00003012992,0.0002236224,0.000009873989,0.00001469073,0.00001794072,0.0000136675,0.9893422,0.002311979,0.0005417831,0.007375066,0.00002553998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1990716,0.0006583057,0.5633782,0.001201552,0.0015605,0.001442401,0.03166831,0.1028751,0.09814411],"genre_scores_gemma":[0.7081041,0.0006692201,0.2300244,0.0005916558,0.0001537416,0.002054226,0.02506125,0.01465045,0.01869106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02123575,"threshold_uncertainty_score":0.06732816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02229993489437591,"score_gpt":0.2522178983564491,"score_spread":0.2299179634620732,"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."}}