{"id":"W2414739937","doi":"10.21611/qirt.2014.164","title":"RITA - Robotized Inspection by Thermography and Advanced processing for the inspection of aeronautical components","year":2014,"lang":"en","type":"article","venue":"","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Automated X-ray inspection; Computer science; Visual inspection; Computer vision; Automated optical inspection; Image processing; Artificial intelligence; Engineering drawing; Aeronautics; Engineering; Infrared; Optics; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006861936,0.000393395,0.0002955669,0.0007739706,0.0001747752,0.0005106017,0.0003840883,0.0004754911,0.002692539],"category_scores_gemma":[0.0004823752,0.0001683507,0.0003186141,0.0005452686,0.0004032724,0.0003520241,0.0003446693,0.0003233196,0.0009640662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924318,"about_ca_system_score_gemma":0.0005647886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008624783,"about_ca_topic_score_gemma":0.0021919,"domain_scores_codex":[0.9994797,0.00008437694,0.00001237756,0.00008747162,0.0002899519,0.00004606934],"domain_scores_gemma":[0.9996638,0.00005922393,0.00006333926,0.00008622251,0.0001077042,0.00001963857],"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":[0.0002494979,0.0000666964,0.002153903,0.0003626146,0.00003252979,0.0001947166,0.0001656789,0.01751828,0.8429625,0.00244107,0.0008003687,0.1330521],"study_design_scores_gemma":[0.00004905108,0.002270203,0.04900942,0.00009669941,0.0001023365,0.00261973,0.0002562628,0.1712061,0.723646,0.001153249,0.04946494,0.0001259371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2862234,0.003135404,0.6972126,0.0001165518,0.0001207068,0.0002460191,0.0004654246,0.002661795,0.009818123],"genre_scores_gemma":[0.7151873,0.0005532384,0.2773626,0.00003482162,0.00001860494,0.00009955959,0.0004349086,0.0001180589,0.006190952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002692539,"threshold_uncertainty_score":0.009007454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005397801244186876,"score_gpt":0.196369505659238,"score_spread":0.1909717044150511,"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."}}