{"id":"W4206412244","doi":"10.2514/6.2021-2656","title":"Comparison of a Compact Isokinetic Total Water Content Probe to Standard & T-Shaped Multi-Element Probes for Characterizing Glaciated, Liquid and Mixed Phase Environments","year":2021,"lang":"en","type":"article","venue":"AIAA AVIATION 2021 FORUM","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Liquid water content; Liquid water; Icing; Remote sensing; Environmental science; Seawater; Liquid phase; Phase (matter); Wind tunnel; Materials science; Hydrology (agriculture); Meteorology; Geology; Geotechnical engineering; Aerospace engineering; Engineering; Oceanography; Physics; Computer science; Earth science","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":[0.0007397358,0.0003388056,0.0002294354,0.0004903378,0.0001539839,0.000558801,0.0006929599,0.0008505632,0.005631013],"category_scores_gemma":[0.001424992,0.0002789347,0.000197655,0.0003301436,0.0004212706,0.0009158686,0.0004464641,0.0004079632,0.0007436883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000360591,"about_ca_system_score_gemma":0.0004495571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005469147,"about_ca_topic_score_gemma":0.001634424,"domain_scores_codex":[0.9997069,0.00004158695,0.00001574764,0.00006873642,0.0001399015,0.0000270312],"domain_scores_gemma":[0.9990826,0.0004017681,0.00009349552,0.00008161904,0.0002763687,0.00006423659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004570014,0.00004560038,0.001040612,0.0001283651,0.000006838912,0.0001039528,0.0001100244,0.0009621941,0.9578834,0.0006906085,0.00101887,0.03755257],"study_design_scores_gemma":[0.00007825151,0.001400276,0.01140737,0.00006108011,0.00003082452,0.001244386,0.0004862261,0.03076901,0.9368144,0.0004291853,0.01720336,0.00007553257],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4798298,0.00118637,0.5039668,0.0006952562,0.000373227,0.0008248517,0.001187295,0.002217755,0.009718666],"genre_scores_gemma":[0.540467,0.000647563,0.445354,0.0005133566,0.00004069625,0.0004797413,0.0004978352,0.0002570162,0.01174281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005631013,"threshold_uncertainty_score":0.01883757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289836199737151,"score_gpt":0.2975601377985336,"score_spread":0.2546617758011621,"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."}}