{"id":"W2105936040","doi":"10.1109/dftvs.2004.1347826","title":"Defect avoidance in a 3-D heterogeneous sensor","year":2004,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Multispectral image; Detector; Bolometer; Sensor array; SIGNAL (programming language); Image sensor; Pixel; Microbolometer; Fault (geology); Computer science; Spare part; Software; Fault tolerance; Fault detection and isolation; Acoustics; Materials science; Engineering; Artificial intelligence; Physics; Geology; Telecommunications; Actuator; Seismology","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":[0.00002730254,0.0000771268,0.00007627952,0.00004463754,0.00001085009,0.00001309266,0.00004536117,0.00002047209,0.00003337027],"category_scores_gemma":[0.000006758547,0.00007501933,0.00004038484,0.0001019282,0.00001049762,0.00003395648,0.000006150973,0.00007864315,0.000181151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005477397,"about_ca_system_score_gemma":0.00000427094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004502351,"about_ca_topic_score_gemma":0.0001279869,"domain_scores_codex":[0.9995939,0.000004191783,0.00008516174,0.00009086847,0.00005198576,0.0001739681],"domain_scores_gemma":[0.9998384,0.000009993328,0.000003608038,0.0001130293,0.000004548308,0.00003038522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004008808,0.00002749334,0.001566,0.00002753576,0.00001736022,0.0001764397,0.0003747295,0.9652348,0.02833859,0.0003329899,0.0004095189,0.003490607],"study_design_scores_gemma":[0.007971978,0.0001865162,0.02330165,0.0004248827,0.00004150047,0.001353808,0.000526897,0.1242808,0.7463441,0.005739136,0.08667962,0.003149044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989111,0.000227452,0.001423244,0.0001400368,0.0001078442,0.00004968528,9.10659e-7,0.0003644789,0.008575371],"genre_scores_gemma":[0.9981472,0.00002209728,0.001391709,0.0002706174,0.00001862899,0.000003415518,5.49761e-7,0.00001812339,0.0001276436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8409539,"threshold_uncertainty_score":0.3059199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005002696342785411,"score_gpt":0.1877703916427006,"score_spread":0.1827676952999152,"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."}}