{"id":"W4240257826","doi":"10.1002/9781118888438.ch213","title":"Automated Crack Detection Method Applied to CT Images of Baked Carbon Anode","year":2014,"lang":"en","type":"other","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Anode; Materials science; Computer vision; Carbon fibers; Computer science; Artificial intelligence; Composite material; Chemistry; Electrode","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":[0.0002103338,0.0003336276,0.0004855549,0.000446065,0.000009706982,0.00001333318,0.0002060421,0.0001906226,0.0002086855],"category_scores_gemma":[0.00005875714,0.0003359481,0.00005195882,0.0002608995,0.00002513861,0.00001301776,0.00005062409,0.0001814247,0.00003136317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009007177,"about_ca_system_score_gemma":0.000009595799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006901953,"about_ca_topic_score_gemma":0.0001072448,"domain_scores_codex":[0.999033,0.00004470289,0.0002556116,0.0002893496,0.0001565334,0.0002208084],"domain_scores_gemma":[0.999254,0.00008269152,0.00009924505,0.0004691694,0.00003333037,0.00006160475],"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":[0.0000068428,0.00001649617,0.00005091272,0.0006474337,0.000158502,0.000003615446,0.00002580422,0.0002511357,0.9169149,0.0006298221,0.07365422,0.007640313],"study_design_scores_gemma":[0.0003086032,0.00008662565,0.0006251946,0.0003472007,0.0001041333,0.00002070956,0.00000839033,0.01617885,0.968955,0.004709535,0.007640337,0.001015454],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0004860573,0.00001949834,0.2622928,0.000002249331,0.0001441514,0.0004308058,0.000009671686,0.01647812,0.7201367],"genre_scores_gemma":[0.03245775,0.000004469711,0.9596595,0.00001282721,0.0001076899,0.00008694172,0.000007722331,0.0007982749,0.006864824],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7132719,"threshold_uncertainty_score":0.9999093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007341032302022414,"score_gpt":0.2561819778592098,"score_spread":0.2488409455571874,"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."}}