{"id":"W3176263350","doi":"10.5281/zenodo.15431577","title":"AUTOMATIC DETECTION AND CLASSIFICATION OF DEFECTS IN WOVEN COMPOSITES MANUFACTURED BY RTM BASED ON X-RAY MICROTOMOGRAPHY","year":2017,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"X-ray microtomography; Composite material; Materials science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003204562,0.0004377835,0.0004000173,0.002280734,0.0001512788,0.0005654058,0.0004228544,0.0007009676,0.0006697763],"category_scores_gemma":[0.0007212008,0.0002821153,0.0003203985,0.0005046137,0.0003140317,0.0003765325,0.0002651436,0.0003108528,0.0003624435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173583,"about_ca_system_score_gemma":0.0002292937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007110738,"about_ca_topic_score_gemma":0.001605656,"domain_scores_codex":[0.9997573,0.00002309835,0.00001533657,0.00006492143,0.0001103352,0.00002891529],"domain_scores_gemma":[0.9994363,0.0001422182,0.0001516748,0.0001014829,0.0001425761,0.00002564665],"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":[0.0003634763,0.00007798802,0.008770114,0.0001770339,0.00002610889,0.0001674273,0.0001358368,0.008431651,0.7454882,0.000452713,0.0005548719,0.2353545],"study_design_scores_gemma":[0.00002046354,0.0002600591,0.09198343,0.00004447389,0.00005553525,0.001097208,0.0001705971,0.4492553,0.4542072,0.0007119978,0.002142143,0.00005153584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.588372,0.0004444698,0.4067163,0.00007677652,0.00003390889,0.00009408138,0.0002483219,0.002804991,0.001209129],"genre_scores_gemma":[0.7695855,0.0002086857,0.2286669,0.00002150182,0.00001189036,0.00004645673,0.0003244424,0.00008936784,0.001045208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002280734,"threshold_uncertainty_score":0.002240658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009308259566386886,"score_gpt":0.2168997733448,"score_spread":0.2075915137784131,"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."}}