{"id":"W2317331425","doi":"10.2514/6.2014-2753","title":"AIRBUS Flight Tests in High Total Water Content Regions","year":2014,"lang":"en","type":"article","venue":"","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Research Council Canada; Federal Aviation Administration","keywords":"Water content; Environmental science; Aeronautics; Computer science; Engineering; Geotechnical 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":[0.0001953643,0.0003587318,0.0002584654,0.0003417644,0.0007916013,0.0002703833,0.0002634578,0.0004635228,0.001822557],"category_scores_gemma":[0.0003083113,0.0001257464,0.0002470616,0.0002631861,0.0002849314,0.0003444903,0.0002337087,0.0003269587,0.0002339716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443735,"about_ca_system_score_gemma":0.0003589764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01152187,"about_ca_topic_score_gemma":0.01611233,"domain_scores_codex":[0.9998459,0.00001920458,0.000005843848,0.00002510577,0.00004020674,0.00006379909],"domain_scores_gemma":[0.9996634,0.00009814672,0.0000356667,0.00002548053,0.0001094026,0.00006793901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007637025,0.000827659,0.01732754,0.0001359088,0.00008642703,0.001018237,0.0005636632,0.02505557,0.9352027,0.0003410542,0.001220502,0.01058377],"study_design_scores_gemma":[0.0004795488,0.01490358,0.10788,0.00002092512,0.00009550569,0.0002894582,0.001111072,0.02209848,0.8494551,0.0002464697,0.003355729,0.00006413551],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986811,0.00001871708,0.0002923868,0.0000152656,0.000006014304,0.000009143419,0.0002133465,0.00002973521,0.0007341517],"genre_scores_gemma":[0.9983118,0.00002303018,0.0004272901,0.00002151822,0.000002252669,0.000008605027,0.0003450321,0.00001184029,0.0008486336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01152187,"threshold_uncertainty_score":0.02290964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457800466036256,"score_gpt":0.1834965447655181,"score_spread":0.1689185401051556,"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."}}