{"id":"W2914278103","doi":"","title":"Micro-CT-based analysis of fibre-reinforced composites: Applications","year":2018,"lang":"en","type":"preprint","venue":"University of Twente Research Information","topic":"Composite Material Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Toyota Motor Europe; Japan Society for the Promotion of Science; Vlaamse regering; Horizon 2020 Framework Programme; Agentschap Innoveren en Ondernemen; Bộ Giáo dục và Ðào tạo; China Scholarship Council; KU Leuven; Fonds Wetenschappelijk Onderzoek","keywords":"Composite material; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004698574,0.000145471,0.0003729273,0.002038972,0.0001063082,0.00004774465,0.0006870006,0.0001298138,0.0001556767],"category_scores_gemma":[0.00001947779,0.0001920435,0.0002141184,0.001023089,0.0001379001,0.0002915143,0.0005263134,0.0003195484,0.00006192052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300239,"about_ca_system_score_gemma":0.000112572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003682497,"about_ca_topic_score_gemma":0.00002354939,"domain_scores_codex":[0.9986976,0.00006169864,0.0003710148,0.000118648,0.000522229,0.0002288581],"domain_scores_gemma":[0.9981709,0.00009531915,0.0002192809,0.0006180513,0.0008094006,0.00008701942],"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":[0.000177812,0.00003946714,0.0001442438,0.00339675,0.001691493,0.000001797369,0.001491997,0.9392689,0.0479113,0.0009760042,0.002594658,0.002305566],"study_design_scores_gemma":[0.0003764532,0.00005799137,0.0003057042,0.0001923303,0.0003316508,4.340205e-7,0.000330069,0.9285423,0.05706676,0.0000397016,0.01256132,0.0001953432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5523512,0.00004950929,0.4374826,0.00006688641,0.0002282005,0.001509848,0.001536968,0.0002523528,0.006522421],"genre_scores_gemma":[0.9910303,0.00008606227,0.00639796,0.000004373434,0.00002174717,0.000003539109,0.00238725,0.00001189041,0.00005686252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4386791,"threshold_uncertainty_score":0.7831308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313274671867054,"score_gpt":0.2613250581242926,"score_spread":0.2381923114056221,"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."}}