{"id":"W2138357589","doi":"10.1115/esda2014-20102","title":"Image-Based Versus Signal-Based Sensors for Machine Fault Detection and Isolation","year":2014,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Fault detection and isolation; Computer science; Fault (geology); Image sensor; SIGNAL (programming language); Real-time computing; Machine vision; Artificial intelligence; Grayscale; Isolation (microbiology); Embedded system; Image (mathematics)","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":[0.0002560675,0.0001177474,0.0001248709,0.0001183474,0.00009787334,0.0000511594,0.00002184678,0.0001263876,0.00003605041],"category_scores_gemma":[0.00006913715,0.0001078604,0.00005488322,0.0001088236,0.00001003141,0.00008073769,0.000002549729,0.00008171204,0.00001469053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004805092,"about_ca_system_score_gemma":0.000006205796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008689972,"about_ca_topic_score_gemma":0.0000757157,"domain_scores_codex":[0.9994183,0.00003572007,0.0001752737,0.0001395806,0.00009538153,0.0001357542],"domain_scores_gemma":[0.9995168,0.0002378761,0.00003173956,0.0001015569,0.00005940062,0.00005261627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001396924,0.00002580512,0.0001101823,0.0002494204,0.00005023607,6.993412e-7,0.00004311903,0.2604285,0.5983499,0.00007398878,0.0007410827,0.1385302],"study_design_scores_gemma":[0.002340801,0.000271163,0.00008277092,0.000009233177,0.00001446691,6.569821e-7,0.00001128308,0.8784586,0.1136215,0.0000122985,0.005054406,0.0001228044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1835461,0.00001096179,0.8141009,0.00002366464,0.0006217317,0.000298862,0.000006431667,0.0003310743,0.001060302],"genre_scores_gemma":[0.9971371,3.860504e-7,0.002526935,0.00002004828,0.0002068444,0.00003184942,0.000009214227,0.00002604285,0.00004161102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8135909,"threshold_uncertainty_score":0.439842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446148563228016,"score_gpt":0.2296808966707389,"score_spread":0.2152194110384587,"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."}}