{"id":"W2621109094","doi":"10.2514/1.c034892","title":"Altitude Scaling of Thermal Ice Protection Systems in Running Wet Operation","year":2018,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Aeronautics and Space Administration","keywords":"Altitude (triangle); Environmental science; Atmospheric sciences; Aerospace engineering; Thermal protection; Scaling; Thermal; Meteorology; Effects of high altitude on humans; Geology; Physics; Materials science; Engineering; Mathematics; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002314667,0.0001853858,0.0001754141,0.0002165756,0.0002432231,0.0003538337,0.0001639944,0.0001209528,0.001106083],"category_scores_gemma":[0.0008367455,0.00009693693,0.0001308255,0.0001137452,0.0001856285,0.0003580819,0.000277716,0.0001616497,0.0001634271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509075,"about_ca_system_score_gemma":0.0001181418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134121,"about_ca_topic_score_gemma":0.001239315,"domain_scores_codex":[0.9998915,0.00001754457,0.000008056461,0.00001318351,0.00003326117,0.00003642752],"domain_scores_gemma":[0.9995763,0.0001162893,0.0001001455,0.00005685633,0.00009463201,0.00005588029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002380759,0.0005877433,0.04782297,0.0002214887,0.000062303,0.0008631966,0.001015391,0.07108782,0.7984453,0.0003721398,0.0002898317,0.07685094],"study_design_scores_gemma":[0.0001098098,0.008595768,0.3658918,0.00003904431,0.00008830649,0.0005931781,0.001194589,0.1025157,0.5177428,0.000354742,0.002809793,0.00006445416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985623,0.0000340955,0.0007641684,0.000004867997,0.000002899812,0.00001098759,0.00001766033,0.00002021458,0.0005828762],"genre_scores_gemma":[0.9994112,0.00002278585,0.0003615216,0.000002926287,0.000001507131,0.000003127909,0.00002607607,0.000004570759,0.0001662904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001134121,"threshold_uncertainty_score":0.003700197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474513425748839,"score_gpt":0.2311884408928346,"score_spread":0.2164433066353462,"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."}}