{"id":"W2323881127","doi":"10.2514/6.2013-3057","title":"Quasi-molecular Modeling of Supercooled Large Droplets Dynamics for In-flight Icing Simulations","year":2013,"lang":"en","type":"article","venue":"","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Supercooling; Icing; Flight dynamics; Molecular dynamics; Dynamics (music); Aerospace engineering; Statistical physics; Meteorology; Physics; Aerodynamics; Engineering","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":[0.0002709737,0.0001040954,0.0002041227,0.00009945623,0.0000751613,0.00003918317,0.0001561307,0.00006982172,0.0008150092],"category_scores_gemma":[0.0001078888,0.00009402415,0.00005861682,0.000155744,0.00002251289,0.0002255381,0.00003625258,0.00004686385,0.00006035874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006816706,"about_ca_system_score_gemma":0.00004498221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007555686,"about_ca_topic_score_gemma":0.0007510908,"domain_scores_codex":[0.9989102,0.00005022095,0.0003887085,0.0002357892,0.0001558499,0.0002592033],"domain_scores_gemma":[0.9993469,0.000100588,0.000038515,0.0002696511,0.000188381,0.00005600257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006954687,0.0001864208,0.0008714954,0.0000227226,0.000002572964,4.167955e-7,0.0006102085,0.1244827,0.8643479,0.009431547,0.000009637301,0.0000273321],"study_design_scores_gemma":[0.0004254488,0.00002388436,0.00009505053,0.0000106054,0.000004766306,4.527884e-7,0.0005385384,0.9115014,0.08626927,0.001016416,0.000006701775,0.0001074398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7232553,0.00001216955,0.2757451,0.0002097642,0.00006454343,0.0003629809,0.0000248905,0.00003434968,0.0002908259],"genre_scores_gemma":[0.9928686,0.00000121588,0.006824989,0.0001209859,0.000007394075,0.00003356511,0.00002817477,0.00001537026,0.00009970945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7870187,"threshold_uncertainty_score":0.8923779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804946626669698,"score_gpt":0.2629807809001511,"score_spread":0.2449313146334542,"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."}}