{"id":"W1969774178","doi":"10.4271/2011-38-0090","title":"A Methodology for the Prediction of Rotor Blade Ice Formation and Shedding","year":2011,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"Aviation and Missile Research, Development, and Engineering Center; Narodowe Centrum Badań i Rozwoju; Nature; National Aeronautics and Space Administration","keywords":"Blade (archaeology); Rotor (electric); Computer science; Aerospace engineering; Mechanical engineering; Mechanics; Engineering; Physics","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":[0.0005720472,0.0007444691,0.0006978638,0.0005097985,0.0005102963,0.0007879846,0.001040336,0.001015006,0.002130477],"category_scores_gemma":[0.001414557,0.0003827789,0.0006103724,0.0004291704,0.000346373,0.0004744279,0.0005575612,0.0008552265,0.0007549998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268017,"about_ca_system_score_gemma":0.001122447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00575164,"about_ca_topic_score_gemma":0.003632085,"domain_scores_codex":[0.9998035,0.00003395653,0.00001210491,0.00004295911,0.00008837406,0.00001916388],"domain_scores_gemma":[0.9996424,0.000121341,0.00004324121,0.0000348565,0.0001400335,0.00001812097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003446835,0.00006532691,0.00118771,0.00007848669,0.00005496174,0.00007241015,0.00004192553,0.8512155,0.01209476,0.006173701,0.001233732,0.127747],"study_design_scores_gemma":[0.000002508583,0.00001405929,0.00008047637,0.000003091312,0.000002590074,0.000008387316,0.000003318168,0.9980684,0.0007730105,0.0006004462,0.0004409905,0.000002716876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00379282,0.00004033612,0.9951491,0.00001728157,0.0000240512,0.00004703612,0.00004910139,0.0003820364,0.0004982202],"genre_scores_gemma":[0.255927,0.000233807,0.7390216,0.00005463502,0.00006244027,0.0005670966,0.0003648094,0.0001940378,0.003574547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00575164,"threshold_uncertainty_score":0.01143634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.048176784133117,"score_gpt":0.2630180848422907,"score_spread":0.2148413007091737,"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."}}