{"id":"W2999583790","doi":"","title":"Developpement d'un algorithme de FEMU-TU pour l'identification de propriétés thermomécaniques d'un CMC à hautes températures à partir de mesures de champs","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Physics; Humanities; Philosophy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007641847,0.0006065114,0.0006063232,0.0002684476,0.0004886311,0.000580416,0.001346937,0.0004866098,0.0005376269],"category_scores_gemma":[0.00140029,0.0006671335,0.0003271078,0.000915407,0.0003162156,0.0004383526,0.0003858048,0.0008274514,0.0001372129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001213518,"about_ca_system_score_gemma":0.0005469095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140336,"about_ca_topic_score_gemma":0.0006384841,"domain_scores_codex":[0.9914855,0.004915174,0.0009453528,0.0008557814,0.000543557,0.001254681],"domain_scores_gemma":[0.99492,0.001138621,0.000511459,0.001731625,0.001241105,0.0004571961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002921959,0.001095986,0.02510449,0.0004937017,0.0005812443,0.00002460372,0.01826763,0.001973629,0.5777563,0.0429347,0.003052434,0.328686],"study_design_scores_gemma":[0.0003985,0.00000229638,0.03393591,0.0008582089,0.0001436351,0.00004521283,0.0002766587,0.06041252,0.8678942,0.01881528,0.01654641,0.0006712007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.297896,0.00717148,0.6732629,0.01747829,0.0001312632,0.0006527244,0.00003931283,0.0007717718,0.002596245],"genre_scores_gemma":[0.61834,0.003193842,0.3716433,0.0002296749,0.0000575712,0.0002060248,0.00010293,0.0001154066,0.006111278],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3280148,"threshold_uncertainty_score":0.999578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00841270066008032,"score_gpt":0.247895843446994,"score_spread":0.2394831427869137,"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."}}