{"id":"W1964877966","doi":"10.2514/1.34541","title":"Eulerian Modeling of In-Flight Icing Due to Supercooled Large Droplets","year":2008,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Supercooling; Icing; Icing conditions; Aerospace engineering; Mechanics; Eulerian path; Meteorology; Aerodynamics; Environmental science; Aeronautics; Physics; Engineering; Lagrangian","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":[0.0003265878,0.000129646,0.0004189168,0.0005093442,0.00004319801,0.000008327749,0.0002926296,0.0001045624,0.0000101555],"category_scores_gemma":[0.00019508,0.0001165918,0.00009417389,0.000314583,0.00001568248,0.0001544724,0.00005674775,0.0003374979,0.000009099494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007682153,"about_ca_system_score_gemma":0.00003511508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003222911,"about_ca_topic_score_gemma":0.00003552703,"domain_scores_codex":[0.9988324,0.00001672576,0.0005719418,0.00008210175,0.0002177477,0.0002790668],"domain_scores_gemma":[0.999498,0.00003931052,0.00006049485,0.0002346107,0.0001013593,0.00006626632],"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":[0.00005411596,0.00008967282,0.006078884,0.000115612,0.00006879838,0.0007289564,0.004495651,0.956708,0.02658881,0.0001454728,0.002928591,0.001997395],"study_design_scores_gemma":[0.004210904,0.0008659019,0.01492359,0.002372301,0.00008088657,0.002877842,0.002956227,0.7071348,0.2596522,0.001502929,0.002395666,0.001026751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93854,0.0001291542,0.06005474,0.0003557388,0.0002977285,0.00004930704,0.000001680967,0.0001039528,0.0004677375],"genre_scores_gemma":[0.9922206,0.00009453374,0.007502218,0.00004593483,0.00008994518,8.773877e-7,2.976047e-7,0.00002689366,0.00001870006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2495733,"threshold_uncertainty_score":0.4754475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340267779551627,"score_gpt":0.2149890838270591,"score_spread":0.2015864060315428,"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."}}