{"id":"W4405144387","doi":"","title":"Prédiction des pressions de pré-éclatement des tubes AISI1020 selon une approche multicritère","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004103982,0.0009588636,0.0006863284,0.0006869897,0.000330577,0.0007456828,0.0005456627,0.001371049,0.00166682],"category_scores_gemma":[0.0007263484,0.0003563102,0.0005919221,0.0003566883,0.0002528498,0.0003875262,0.0002487883,0.0004521958,0.0005230109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005660799,"about_ca_system_score_gemma":0.0006634978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02084996,"about_ca_topic_score_gemma":0.01803569,"domain_scores_codex":[0.9998019,0.00002555094,0.000006389495,0.00008553045,0.00004708598,0.0000334418],"domain_scores_gemma":[0.9993555,0.000312338,0.00006510232,0.00004707502,0.0001703863,0.00004963907],"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":[0.0008242831,0.0001780768,0.02283264,0.00007856986,0.00008202114,0.0002038048,0.00004769922,0.8843964,0.03438528,0.0002125518,0.000736227,0.05602243],"study_design_scores_gemma":[0.000006928401,0.00008175092,0.00731458,0.000003327651,0.00001239099,0.00001663491,0.0000117522,0.9863867,0.005967681,0.00004179731,0.0001486778,0.000007823297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509124,0.0002822357,0.04559542,0.0001221549,0.00005319052,0.00002141879,0.0003127874,0.00110611,0.001594293],"genre_scores_gemma":[0.988463,0.00008429578,0.008149909,0.00001996312,0.00001348063,0.00001333792,0.0003047349,0.00003506482,0.002916289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02084996,"threshold_uncertainty_score":0.04145724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205171904256158,"score_gpt":0.2198628041834068,"score_spread":0.2078110851408452,"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."}}