{"id":"W4300820177","doi":"","title":"Calculation of Ice Chunk Trajectory Using Proper Orthogonal Decomposition","year":2012,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Trajectory; Decomposition; Computer science; Algorithm; Physics; Chemistry","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":[0.0009097065,0.0002233244,0.0002711451,0.0002977904,0.00007782218,0.00003570301,0.0003141362,0.0003158615,0.0001744827],"category_scores_gemma":[0.0001535436,0.0002306985,0.00009350613,0.000264247,0.0001175388,0.00007480435,0.00008440317,0.0002535367,0.00002482176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007941446,"about_ca_system_score_gemma":0.00004110063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004582328,"about_ca_topic_score_gemma":0.0002982089,"domain_scores_codex":[0.9985344,0.0005083879,0.0002855909,0.000220569,0.0002169486,0.0002340969],"domain_scores_gemma":[0.9985346,0.0002003258,0.0001958597,0.0007483976,0.0002681786,0.00005266929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000426678,0.001494935,0.009495203,0.004251056,0.001063465,0.00001232056,0.01395506,0.01182073,0.1392052,0.0822683,0.08989776,0.6464933],"study_design_scores_gemma":[0.001210665,0.000001499773,0.005535529,0.01174329,0.0003465819,0.00004480072,0.0001432265,0.1461338,0.6279707,0.0005334542,0.2045047,0.001831718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02744304,0.003172377,0.4940349,0.0002578924,0.0004586641,0.0004809656,0.00005388267,0.002317015,0.4717812],"genre_scores_gemma":[0.8839382,0.000384375,0.07005368,0.00001200073,0.00006540826,0.00002034516,0.0002310685,0.0003624077,0.04493251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8564951,"threshold_uncertainty_score":0.9407611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351835727110322,"score_gpt":0.2248609774035195,"score_spread":0.2113426201324163,"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."}}