{"id":"W1542365434","doi":"10.4271/2007-01-3310","title":"Application of FENSAP-ICE-Unsteady to Helicopter Icing","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Icing; Meteorology; Aerospace engineering; Geology; Aeronautics; Environmental science; Computer science; Remote sensing; Engineering; Oceanography; Geography","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":[0.0002919128,0.0004952559,0.0005418021,0.0002914359,0.0005136181,0.0005203858,0.000952714,0.0006908986,0.002394168],"category_scores_gemma":[0.001115239,0.0002242452,0.0004770347,0.0002523144,0.0005138754,0.0002861005,0.0006686915,0.0006318857,0.0002766375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004757688,"about_ca_system_score_gemma":0.0009834906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238222,"about_ca_topic_score_gemma":0.01087719,"domain_scores_codex":[0.9998851,0.00002913129,0.00000575084,0.00001268467,0.00004370178,0.00002363669],"domain_scores_gemma":[0.9996253,0.000151606,0.00003206945,0.00004917726,0.0001122862,0.00002953815],"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":[0.00007613757,0.00005494464,0.00215079,0.00005473617,0.00002084487,0.0002752437,0.0000709641,0.9765227,0.003899556,0.003332014,0.0006779328,0.01286419],"study_design_scores_gemma":[0.00001021168,0.0000163813,0.000160562,0.000003623078,0.000001284265,0.00001700669,0.00001262614,0.9976179,0.001386297,0.0002776459,0.0004936402,0.000002775328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.658538,0.00031277,0.2938767,0.0005138365,0.0002387338,0.000185425,0.0008903094,0.002382918,0.04306134],"genre_scores_gemma":[0.930978,0.00008950684,0.06514602,0.00005087758,0.00002483501,0.0000796853,0.0003398272,0.0002107589,0.003080518],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02238222,"threshold_uncertainty_score":0.04450393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00981739675965635,"score_gpt":0.2427295023554457,"score_spread":0.2329121055957893,"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."}}