{"id":"W4402689052","doi":"10.2514/6.2024-3778","title":"Ice Crystal Environment Modular Axial Compressor Rig: Effect of TWC and Temperature on Accretion Growth Rate Using Digital Image Processing","year":2024,"lang":"en","type":"article","venue":"","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Modular design; Gas compressor; Accretion (finance); Ice crystals; Image processing; Materials science; Computer science; Image (mathematics); Aerospace engineering; Computer vision; Engineering; Meteorology; Physics; Operating system; Astrophysics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001067705,0.000175139,0.0001821693,0.0001124026,0.0000554792,0.0001943541,0.00006404539,0.0001095374,0.000004128111],"category_scores_gemma":[0.00002673793,0.000134189,0.00003732425,0.00009649935,0.00006651772,0.0002724983,0.0000471003,0.0002046331,0.000004466578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004473828,"about_ca_system_score_gemma":0.000004620973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007281072,"about_ca_topic_score_gemma":1.855292e-7,"domain_scores_codex":[0.999375,0.00001572263,0.0001381328,0.0001929781,0.0001176203,0.0001605315],"domain_scores_gemma":[0.9997692,0.00006757367,0.00001573268,0.0001154402,0.000008544517,0.00002347353],"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":[0.00005707493,0.00001758917,0.0002027452,0.001804793,0.00005966783,0.00003600348,0.0002322495,0.02469326,0.9595221,0.0002534607,0.0001386364,0.01298245],"study_design_scores_gemma":[0.0002560534,0.00017722,0.0005156848,0.0004638309,0.00003380865,0.00001890196,0.00004152127,0.2791255,0.7189232,0.0001741335,0.00006990078,0.0002002445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984288,0.0003318221,0.01378522,0.00002572231,0.00009480046,0.0001371794,0.00001313427,0.0007750779,0.0005490381],"genre_scores_gemma":[0.9991702,0.00002306499,0.0006868856,0.000003687399,0.00004416847,0.000004402007,0.000008980192,0.00003159991,0.00002698123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2544323,"threshold_uncertainty_score":0.5472069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004595417654084239,"score_gpt":0.2004893977780127,"score_spread":0.1958939801239285,"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."}}