{"id":"W2332851562","doi":"10.2514/6.2013-2671","title":"Validation and Verification of Multi-Steps Icing Calculation Using CANICE2D-NS Code","year":2013,"lang":"en","type":"article","venue":"31st AIAA Applied Aerodynamics Conference","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Code (set theory); Software verification; Verification and validation; Programming language; Software; Mathematics; Statistics; Software construction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007416543,0.0006766991,0.0006671883,0.0005950184,0.0008043745,0.0006851285,0.00150629,0.0006527306,0.003028909],"category_scores_gemma":[0.001748193,0.0002443125,0.0004710798,0.0004393464,0.0005295254,0.0004593153,0.0005934341,0.0008057749,0.0004072117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007573926,"about_ca_system_score_gemma":0.001826562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102373,"about_ca_topic_score_gemma":0.01245529,"domain_scores_codex":[0.9996031,0.00006200505,0.00002421973,0.00003765508,0.0002091015,0.00006398031],"domain_scores_gemma":[0.9987314,0.0004439309,0.00006600354,0.0001871007,0.0004684892,0.000103066],"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":[0.0001874054,0.0001697058,0.0048062,0.0001565886,0.0000365778,0.0003212028,0.0001632159,0.9454592,0.02330027,0.002307219,0.002560407,0.02053198],"study_design_scores_gemma":[0.00003488397,0.00004297477,0.0009416697,0.000008399504,0.000004579077,0.00001892783,0.00003048301,0.9876722,0.009892604,0.0001561853,0.001186003,0.00001114992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8247713,0.0002563634,0.132069,0.0005104423,0.0002699937,0.0004275868,0.003434995,0.005612218,0.03264806],"genre_scores_gemma":[0.9053935,0.0001098062,0.08945184,0.00007558801,0.0000172885,0.0002723192,0.001592623,0.0004932856,0.002593789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02102373,"threshold_uncertainty_score":0.0418027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908512184546616,"score_gpt":0.2319793546044041,"score_spread":0.202894232758938,"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."}}