{"id":"W2914343901","doi":"10.1016/j.coldregions.2019.01.012","title":"Analysis and modelling of icing of air intake protection grids of aircraft engines","year":2019,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Icing; Icing conditions; Environmental science; Wind tunnel; Aerodynamics; Aerospace engineering; Marine engineering; Grid; Airspeed; Meteorology; Engineering; Geology","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":[0.0002154482,0.00007493771,0.0002593073,0.001598757,0.00004697646,0.000003301499,0.0001665242,0.0001262535,4.376151e-7],"category_scores_gemma":[0.00006410774,0.00006693361,0.00002355104,0.003066771,0.0007642683,0.00008569964,0.0000753602,0.0001130122,2.194491e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001483345,"about_ca_system_score_gemma":0.00002355354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006561827,"about_ca_topic_score_gemma":0.00001254176,"domain_scores_codex":[0.9993932,0.00000325109,0.0001911268,0.0001615536,0.0001120495,0.0001388548],"domain_scores_gemma":[0.9994614,0.00002406664,0.00006872456,0.0002815453,0.0001505846,0.00001366725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000785648,0.00003619671,0.04783263,0.0004913419,0.0001459423,0.000001196521,0.0004689764,0.2189482,0.6665718,0.03777063,0.00001241886,0.02771282],"study_design_scores_gemma":[0.00009778246,0.0001150881,0.0009335976,0.00008643724,0.00005323437,0.000006144122,0.0005250857,0.2881179,0.7085745,0.001382634,0.00003006228,0.00007763239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8901949,0.0001479354,0.1090734,0.0001373384,0.00003892943,0.0001153203,0.000001031716,0.0002011768,0.00008998872],"genre_scores_gemma":[0.9971088,0.0001469931,0.002717624,0.000001518446,0.000002206897,0.000006298591,1.43847e-7,0.000004657148,0.00001173934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1069139,"threshold_uncertainty_score":0.2815978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137556992768132,"score_gpt":0.2022217825114944,"score_spread":0.1884660832346812,"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."}}