{"id":"W3016006926","doi":"10.3390/aerospace7040039","title":"Computer-Assisted Aircraft Anti-Icing Fluids Endurance Time Determination","year":2020,"lang":"en","type":"article","venue":"Aerospace","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Icing; Takeoff; Snow; Computer science; Lift (data mining); Simulation; Environmental science; Marine engineering; Engineering; Automotive engineering; Meteorology; Machine learning","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":[0.000425925,0.0005744036,0.0005003895,0.00101585,0.0002145149,0.0006671489,0.0008121831,0.0006007514,0.002476679],"category_scores_gemma":[0.001670146,0.0001639883,0.000246783,0.0004947768,0.0002097675,0.0003743004,0.0002198383,0.0003104909,0.0007394137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062765,"about_ca_system_score_gemma":0.0004921927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003192199,"about_ca_topic_score_gemma":0.002469349,"domain_scores_codex":[0.9996516,0.00004616427,0.00002340765,0.00009284547,0.0001464032,0.00003964177],"domain_scores_gemma":[0.9986508,0.0004910606,0.0001290178,0.0001104744,0.0005782986,0.00004029852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008545451,0.0001981071,0.005242367,0.0002575388,0.00006323332,0.000144029,0.0001356623,0.07996725,0.1139772,0.0009306894,0.002943215,0.7952862],"study_design_scores_gemma":[0.00004250276,0.0002559187,0.009278062,0.00002690222,0.0000505118,0.0003092108,0.00006137189,0.8753398,0.1091243,0.0005156819,0.004950156,0.00004552251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1209378,0.0003748678,0.8708256,0.00006892141,0.00006944402,0.0001481621,0.000166387,0.005088928,0.002319773],"genre_scores_gemma":[0.6020359,0.000240526,0.393508,0.00006064753,0.00003073157,0.0001372083,0.0003766937,0.0001916959,0.00341866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003192199,"threshold_uncertainty_score":0.008285344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171248760197916,"score_gpt":0.2024200178440572,"score_spread":0.190707530242078,"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."}}