{"id":"W2950647162","doi":"10.4271/2019-01-1957","title":"Four Years of Testing to AS5562","year":2019,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"CLARITY; Paragraph; Test (biology); Instrumentation (computer programming); Class (philosophy); Section (typography); Wind tunnel; Computer science; Engineering; World Wide Web; Operating system; Aerospace engineering; Geology; Artificial intelligence","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":[0.02197923,0.0008950923,0.0007813534,0.001858652,0.002896346,0.003672263,0.002656226,0.002190445,0.01674931],"category_scores_gemma":[0.02349874,0.0004805457,0.0008319319,0.001118355,0.001939974,0.003206666,0.003988607,0.003596598,0.01074952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003397111,"about_ca_system_score_gemma":0.005705667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01317455,"about_ca_topic_score_gemma":0.0163958,"domain_scores_codex":[0.978884,0.003166924,0.001145795,0.001208757,0.01382776,0.001766782],"domain_scores_gemma":[0.9626916,0.002003665,0.0007699563,0.003958817,0.02800655,0.002569381],"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":[0.0008020307,0.002055597,0.01241922,0.0004270987,0.0001338358,0.0006263992,0.004758281,0.004286737,0.03599371,0.02059317,0.1890801,0.7288238],"study_design_scores_gemma":[0.0001491851,0.005752441,0.0117058,0.0005195503,0.00007988903,0.0008041237,0.003397493,0.004432827,0.03005855,0.006379979,0.9365451,0.0001751954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2975964,0.006799914,0.2365739,0.06025564,0.01691996,0.004190279,0.002507734,0.01178257,0.3633736],"genre_scores_gemma":[0.5463369,0.00344754,0.1092358,0.01576006,0.001302479,0.001288698,0.006063226,0.002180597,0.3143847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02197923,"threshold_uncertainty_score":0.1162387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556405091598269,"score_gpt":0.3467387167813952,"score_spread":0.3111746658654125,"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."}}