{"id":"W1482846146","doi":"10.1109/ccece.2001.933685","title":"An automated and rapid defect inspection algorithm for fluorescent PDP patterns","year":2002,"lang":"en","type":"article","venue":"","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; CRTS; Plasma display; Quality (philosophy); Component (thermodynamics); Sequence (biology); Visual inspection; Algorithm; Artificial intelligence; Computer graphics (images)","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":[0.00006139129,0.00009778974,0.00009511183,0.0000316853,0.00005028145,0.00003893246,0.00003602375,0.00004973391,0.0001335066],"category_scores_gemma":[0.000006125909,0.00008616836,0.00003159176,0.00005338701,0.00001101168,0.0001080058,0.000005045913,0.00004247069,0.0000152947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000033898,"about_ca_system_score_gemma":7.964624e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001856194,"about_ca_topic_score_gemma":0.00001580671,"domain_scores_codex":[0.9994998,0.00000927895,0.0001030399,0.0001255801,0.0000877535,0.0001745268],"domain_scores_gemma":[0.9997733,0.00001551681,0.000006921399,0.00009928818,0.00002451815,0.00008045535],"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":[0.000005884549,0.0001862095,0.006311552,0.0001329737,0.0001266302,0.000003993476,0.0002289131,0.002761327,0.005453566,0.0001214689,0.002047735,0.9826198],"study_design_scores_gemma":[0.0004392758,0.00008647114,0.00944237,0.00001216446,0.00001383884,0.000001961642,0.00004139059,0.9826572,0.006744318,0.000009731579,0.000425372,0.0001258881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6925945,0.0009316013,0.2988084,0.0000530127,0.0007661042,0.0005891462,0.00003081181,0.004678747,0.001547665],"genre_scores_gemma":[0.9878079,0.0001298079,0.0119181,0.0000218307,0.00005360628,0.00002717149,0.00000601544,0.00002363227,0.00001196486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9824939,"threshold_uncertainty_score":0.3513844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125517073925089,"score_gpt":0.2386140464243404,"score_spread":0.2173588756850895,"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."}}