{"id":"W4299296463","doi":"","title":"Procédé de détection et caractérisation de défauts d’adhésion dans les assemblages collés","year":2015,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Molecular biology; Biology","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":[0.007482837,0.000536501,0.0004361859,0.0002524535,0.0004859399,0.0006259672,0.0007652476,0.0007667788,0.0001127993],"category_scores_gemma":[0.001575482,0.0006415077,0.0001843811,0.0003952082,0.000127135,0.0003951705,0.00048879,0.001034868,0.00004305825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405403,"about_ca_system_score_gemma":0.0007350068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008876479,"about_ca_topic_score_gemma":0.006604618,"domain_scores_codex":[0.9931897,0.004331822,0.0006709978,0.0007546632,0.000456876,0.0005959521],"domain_scores_gemma":[0.9953176,0.0007448136,0.0005360363,0.001186432,0.001880698,0.0003343646],"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":[0.00005195961,0.0008791593,0.01409565,0.002031447,0.0002220503,0.00001142829,0.09138231,0.7423702,0.0229237,0.0454395,0.002578747,0.07801381],"study_design_scores_gemma":[0.0007827578,0.000001828846,0.03824588,0.003094548,0.0001671931,0.0000473825,0.0006721663,0.6622385,0.2675992,0.005273852,0.02095081,0.0009258956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.277854,0.0009272911,0.6804999,0.004595533,0.000355238,0.0005268709,0.00003795132,0.0005106907,0.03469251],"genre_scores_gemma":[0.8925684,0.002414461,0.09321474,0.00004373569,0.00007807876,0.0001750454,0.0007195628,0.0001280274,0.01065792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6147144,"threshold_uncertainty_score":0.9996036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166684508905992,"score_gpt":0.2396662293515726,"score_spread":0.2229977784609734,"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."}}