{"id":"W7037111432","doi":"","title":"depuis 2008, Université de Sherbrooke, Québec, Canada, avec M. Beaulieu M., Garon S","year":2008,"lang":"fr","type":"report","venue":"INRIA a CCSD electronic archive server","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Term (time); Selection (genetic algorithm); Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002609853,0.001156408,0.001047663,0.0002936281,0.0009060591,0.00004191273,0.0009113345,0.0005011761,0.0007049427],"category_scores_gemma":[0.00007345618,0.00144944,0.0005693961,0.0004188211,0.0001753273,0.0001391846,0.0006932186,0.002041,0.0001001409],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.03091824,"about_ca_system_score_gemma":0.02776377,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8533628,"about_ca_topic_score_gemma":0.99857,"domain_scores_codex":[0.9942822,0.0001661518,0.0009748997,0.001041897,0.001150816,0.00238401],"domain_scores_gemma":[0.9975704,0.0004786977,0.0003062685,0.0007864129,0.0002579115,0.0006002841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001349611,0.0001309699,0.003679833,0.0006293528,0.001892204,0.001542842,0.001263578,0.854131,0.000649258,0.01297653,0.1183745,0.004594962],"study_design_scores_gemma":[0.0006344224,0.0001149324,0.01377163,0.0002244078,0.0002468572,0.001067726,0.00001468146,0.3690504,0.00002964514,0.0008357297,0.6129372,0.001072368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8913966,0.04783164,0.02215903,0.002121336,0.002593494,0.001276381,0.001339722,0.0003992222,0.03088262],"genre_scores_gemma":[0.7380272,0.07694987,0.002508297,0.0008090478,0.002258118,0.00006719774,0.006729429,0.001061441,0.1715895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4945627,"threshold_uncertainty_score":0.9987955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004308145594262224,"score_gpt":0.1733111329791365,"score_spread":0.1690029873848743,"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."}}