{"id":"W2801401867","doi":"","title":"Développement d'un ensemble d'ailes à éléments multiples pour la Formule électrique de l'Université Laval","year":2017,"lang":"fr","type":"article","venue":"","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Laval","keywords":"Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001089628,0.0008623362,0.0007444063,0.0007983605,0.000752688,0.001853334,0.001057389,0.001090679,0.01239932],"category_scores_gemma":[0.002117732,0.00049016,0.001214971,0.0007608214,0.0004636514,0.001590584,0.001299457,0.001568608,0.003479672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415756,"about_ca_system_score_gemma":0.001956369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020606,"about_ca_topic_score_gemma":0.01238237,"domain_scores_codex":[0.9991498,0.0001141239,0.00003085077,0.0001558354,0.000475723,0.00007366164],"domain_scores_gemma":[0.9992929,0.0001787797,0.00003915182,0.00008465727,0.0003564089,0.00004812965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000266493,0.0001443147,0.003858051,0.0007833446,0.0001177526,0.0002785978,0.0007145155,0.5560902,0.08880673,0.04273796,0.007301662,0.2989002],"study_design_scores_gemma":[0.00004278927,0.0004444658,0.003224175,0.000204915,0.00007301845,0.0002015343,0.000486126,0.7941378,0.05854089,0.01136183,0.1311807,0.0001017959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09181561,0.001102203,0.8669916,0.0006809161,0.0003547478,0.000163909,0.0007118614,0.001969689,0.03620945],"genre_scores_gemma":[0.4636057,0.001260442,0.4804443,0.0001632598,0.00007867425,0.0003693646,0.001790096,0.0009035721,0.05138461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01239932,"threshold_uncertainty_score":0.04147983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126790147091496,"score_gpt":0.2210103198204409,"score_spread":0.2097424183495259,"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."}}