{"id":"W7052413690","doi":"","title":"Simulation pour l'aide à l'optimisation et fabrication intelligente des composites par injections sous renfort","year":2009,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Transfer molding; Fabrication; Molding (decorative); Instrumentation (computer programming); Diagram; Process (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006228645,0.0007560751,0.0005758104,0.0004161918,0.0003640477,0.001048399,0.0006374281,0.0008007853,0.008286644],"category_scores_gemma":[0.0008225722,0.0004345035,0.0008015267,0.0004821571,0.0004729019,0.0008759145,0.000528179,0.000862831,0.001883841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008528904,"about_ca_system_score_gemma":0.001422541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005803641,"about_ca_topic_score_gemma":0.006703121,"domain_scores_codex":[0.9997132,0.00007841609,0.00001048157,0.00003379456,0.0001407588,0.00002329425],"domain_scores_gemma":[0.999633,0.0001995506,0.00001959239,0.00005662827,0.00007581589,0.00001550977],"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":[0.0002203376,0.00007669573,0.001158389,0.0006892887,0.00006651111,0.0001883641,0.0002832616,0.735397,0.06775165,0.04225602,0.005276856,0.1466357],"study_design_scores_gemma":[0.0000544241,0.0001136691,0.000982713,0.0001113576,0.00004017465,0.0001554628,0.00006315745,0.8508222,0.04069931,0.008772785,0.09814871,0.00003609994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02231925,0.002725674,0.9219298,0.0004008378,0.0002024001,0.0001503046,0.000349647,0.002438869,0.04948323],"genre_scores_gemma":[0.3556446,0.008191086,0.5580482,0.0001749899,0.0001288998,0.000480063,0.001271804,0.001519214,0.07454123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008286644,"threshold_uncertainty_score":0.02772164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530892963759719,"score_gpt":0.24120165000987,"score_spread":0.2258927203722728,"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."}}