{"id":"W3157522292","doi":"10.1016/j.coldregions.2021.103298","title":"Quantitative analysis of rivulet/ice formation on a heated airfoil by Color-Coded Point Projection method","year":2021,"lang":"en","type":"article","venue":"Cold Regions Science and Technology","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bombardier (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Icing; Airfoil; Wind tunnel; NACA airfoil; Icing conditions; Drag; Stagnation point; Leading edge; Aerospace engineering; Enhanced Data Rates for GSM Evolution; Lift-to-drag ratio; Clear ice; Meteorology; Geology; Marine engineering; Mechanics; Materials science; Arctic ice pack; Engineering; Sea ice; Physics; Antarctic sea ice","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003509342,0.0001000543,0.0002485524,0.001515378,0.0001937434,0.00001941045,0.0001565161,0.0001576528,0.000001346516],"category_scores_gemma":[0.0004510261,0.00009140043,0.00003259072,0.007934424,0.0004747722,0.0001588434,0.00006244078,0.0001699255,0.000002089392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009561765,"about_ca_system_score_gemma":0.00005503734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002982534,"about_ca_topic_score_gemma":0.00007071184,"domain_scores_codex":[0.9991694,0.00002119135,0.0001929956,0.000242932,0.0001642575,0.0002091854],"domain_scores_gemma":[0.9992,0.00008728792,0.00006312746,0.0003064342,0.0003211591,0.00002200676],"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":[0.00001305404,0.00006737954,0.000181724,0.00004305386,0.0001531035,0.00000740298,0.0004506373,0.003439208,0.8087873,0.1723102,0.002049332,0.01249758],"study_design_scores_gemma":[0.0001358644,0.0001980306,0.00009641016,0.00003417093,0.00009763619,0.00001486313,0.001907726,0.1837711,0.8119872,0.001060738,0.0005951258,0.0001011486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7350163,0.0001899486,0.2596126,0.002762982,0.00009848404,0.0001762356,0.0000112502,0.001101447,0.001030708],"genre_scores_gemma":[0.9859065,0.0001512366,0.01382031,0.0000390076,0.000001571846,0.00003087738,0.000004767658,0.000005818571,0.00003989166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2508902,"threshold_uncertainty_score":0.3812228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876508979050069,"score_gpt":0.2842546379163427,"score_spread":0.265489548125842,"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."}}