{"id":"W2794755348","doi":"10.1139/tcsme-2009-0044","title":"ALGORITHME GÉNÉTIQUE MULTICRITÉRIEL POUR L’OPTIMISATION DE L’ARCHITECTURE DES MÉCANISMES ENTRAÎNÉS PAR CÂBLES - APPLICATION À UN SIMULATEUR DE VOL","year":2009,"lang":"fr","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Architecture; Workspace; Artificial intelligence; Art; Robot","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001029028,0.001365132,0.0009993846,0.001044035,0.0005471092,0.0009174598,0.0008538638,0.001532766,0.003410662],"category_scores_gemma":[0.001844921,0.0006003032,0.00119595,0.0006283392,0.0007469659,0.0006782706,0.0007266339,0.00105803,0.000521837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256556,"about_ca_system_score_gemma":0.001612638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005551881,"about_ca_topic_score_gemma":0.006015433,"domain_scores_codex":[0.9996394,0.00009239633,0.00001609532,0.00008603666,0.0001235512,0.00004249658],"domain_scores_gemma":[0.9991715,0.0005182296,0.00007709563,0.00004687015,0.0001652124,0.00002120544],"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":[0.00007621935,0.00004184521,0.0007049568,0.0001311428,0.00005751913,0.00006991353,0.000118182,0.8983424,0.01492964,0.006436117,0.0005314596,0.07856068],"study_design_scores_gemma":[0.00002287851,0.00005713531,0.0002529834,0.00001449409,0.00001524403,0.00003344753,0.00002151225,0.991726,0.004349918,0.001413418,0.002081553,0.00001131225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02373398,0.0002505762,0.9727989,0.0001178504,0.00005240154,0.00007341852,0.00004161559,0.0005478094,0.002383337],"genre_scores_gemma":[0.2094231,0.000331796,0.7833939,0.00008039869,0.00002423196,0.0004345833,0.000126614,0.0002313656,0.005953971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005551881,"threshold_uncertainty_score":0.01140982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006533070446819582,"score_gpt":0.2011766043076062,"score_spread":0.1946435338607866,"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."}}