{"id":"W7148992052","doi":"10.70675/a0939470z1b01z4400z8834zbfa3593d2144","title":"Analyse et visualisation de la géométrie des matériaux composites à partir de données d’imagerie 3D","year":2017,"lang":"","type":"dissertation","venue":"","topic":"Composite Material Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homogeneous; Segmentation; Materials testing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001489653,0.001069715,0.001065176,0.0005081368,0.0009615494,0.003355157,0.0008936622,0.001021271,0.0016201],"category_scores_gemma":[0.0005464806,0.001228166,0.0003676544,0.0002614594,0.0002560946,0.0008201078,0.0001344812,0.0006942948,0.0002400677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007164489,"about_ca_system_score_gemma":0.0003974073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624933,"about_ca_topic_score_gemma":0.0009233531,"domain_scores_codex":[0.9958706,0.0007830971,0.00109615,0.0007527393,0.000459394,0.001038059],"domain_scores_gemma":[0.996787,0.0008192946,0.0005848273,0.001092944,0.0003001201,0.0004158648],"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":[0.0003572627,0.0001957693,0.001231728,0.002236927,0.0005858632,0.00009593883,0.008077484,0.02373862,0.95142,0.006756325,0.0001662989,0.005137785],"study_design_scores_gemma":[0.001011595,0.0001953073,0.01110256,0.001220966,0.00119554,0.00008509712,0.000822879,0.2663819,0.7080676,0.00709295,0.00117288,0.001650731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791731,0.0006723412,0.1017604,0.00009727792,0.001150004,0.0006489505,0.0001002748,0.0004789938,0.01591864],"genre_scores_gemma":[0.9544718,0.001318111,0.04089019,0.00004916159,0.000415336,0.0001390742,0.001464431,0.0002963653,0.0009554974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2433524,"threshold_uncertainty_score":0.9992926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464143284790314,"score_gpt":0.3117791807582711,"score_spread":0.2871377479103679,"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."}}