{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002887373,0.0003168862,0.0003005785,0.0001199144,0.0005637485,0.0002656285,0.0004731287,0.0002617658,0.0008658412],"category_scores_gemma":[0.0005922008,0.0003427161,0.0001412272,0.0004197657,0.0002776598,0.0005439302,0.0002679405,0.0003350891,0.0003517221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00029041,"about_ca_system_score_gemma":0.0001098813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003281562,"about_ca_topic_score_gemma":0.00137549,"domain_scores_codex":[0.9964617,0.001738779,0.0004977023,0.0004318649,0.000268819,0.000601164],"domain_scores_gemma":[0.9975232,0.0005354847,0.0001133867,0.0008786548,0.0006975656,0.0002516887],"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":[0.00005453065,0.00116449,0.008329307,0.003514582,0.0003825337,0.00001268398,0.09473269,0.006812658,0.6250178,0.09476249,0.001257328,0.163959],"study_design_scores_gemma":[0.001135481,0.000002715754,0.007523296,0.006306482,0.0001660808,0.00005660446,0.001364537,0.1295034,0.7540714,0.005531034,0.09362596,0.0007130133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8387066,0.003554988,0.1194894,0.001764796,0.0007921574,0.0005461515,0.00002420203,0.000336646,0.03478507],"genre_scores_gemma":[0.8578182,0.00165101,0.1041704,0.00002596064,0.00005101959,0.00006250719,0.0001236941,0.00007264108,0.03602456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.163246,"threshold_uncertainty_score":0.9999025,"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."}}