{"id":"W2158639820","doi":"10.2514/6.2006-265","title":"Aircraft Escape Strategy from Supercooled Cloud Layers","year":2006,"lang":"en","type":"article","venue":"44th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Research Council Canada; Transport Canada","keywords":"Supercooling; Cloud computing; Aerospace engineering; Computer science; Environmental science; Meteorology; Physics; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006749988,0.0001759069,0.0001645177,0.0002550952,0.0002461561,0.0002702853,0.0001139912,0.0000967921,0.0006144122],"category_scores_gemma":[0.0001948835,0.0000622199,0.0001253354,0.00009978462,0.00008692467,0.0001745044,0.0002570052,0.0001378882,0.0001510477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000175391,"about_ca_system_score_gemma":0.0001900765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004870072,"about_ca_topic_score_gemma":0.006824158,"domain_scores_codex":[0.9999479,0.000003818841,0.000001556664,0.000006084394,0.00001024916,0.00003032901],"domain_scores_gemma":[0.9999073,0.00001300847,0.00002699547,0.000009067841,0.00002055355,0.00002322822],"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":[0.001443137,0.0001877109,0.3165663,0.0001490056,0.0001278635,0.001176508,0.0009559318,0.07271158,0.4538326,0.001428929,0.0008510159,0.1505694],"study_design_scores_gemma":[0.00008582872,0.00284104,0.5378606,0.00006261364,0.0001176661,0.0007978246,0.001880916,0.280313,0.1698803,0.0007454127,0.005338334,0.0000763841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979669,0.00004319995,0.001198392,0.000005571926,9.666068e-7,0.000005454362,0.00002752138,0.00001716966,0.0007347126],"genre_scores_gemma":[0.9989924,0.00002717243,0.0006251268,0.000003376651,4.716327e-7,0.000001967765,0.00006511194,0.000003248978,0.0002811295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004870072,"threshold_uncertainty_score":0.00968343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008847513019102414,"score_gpt":0.2003900312309195,"score_spread":0.1915425182118171,"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."}}