{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009023924,0.00135903,0.0007178426,0.002983724,0.0004484727,0.002965597,0.0006999312,0.001336698,0.008195821],"category_scores_gemma":[0.001993376,0.0008258086,0.001579462,0.001588888,0.0006361594,0.001578635,0.001170834,0.001128128,0.002180305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007350112,"about_ca_system_score_gemma":0.001269655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087727,"about_ca_topic_score_gemma":0.01717971,"domain_scores_codex":[0.9992334,0.00007141286,0.00004109967,0.0001425152,0.0004393288,0.00007235898],"domain_scores_gemma":[0.9989696,0.0004230003,0.00007858023,0.0001419734,0.0003449093,0.00004196064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005385634,0.0001348571,0.007164555,0.001969915,0.000282935,0.001047773,0.001800381,0.1113157,0.3843616,0.009782181,0.02019882,0.4614028],"study_design_scores_gemma":[0.00004485322,0.0002248297,0.03155334,0.0003723077,0.0001676115,0.002150103,0.001407918,0.5861708,0.2533706,0.00973088,0.1145157,0.0002910487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.132473,0.002621189,0.8281306,0.001676118,0.0003325042,0.0001798037,0.004648163,0.01774215,0.01219635],"genre_scores_gemma":[0.4089215,0.003513959,0.5610244,0.0003611069,0.00009793381,0.0002669039,0.006251986,0.002998773,0.01656339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01087727,"threshold_uncertainty_score":0.02741772,"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."}}