{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638409,0.0006065923,0.0007092934,0.001211239,0.000267861,0.0008092155,0.0009359483,0.001005421,0.00175698],"category_scores_gemma":[0.005167092,0.0002455136,0.0003940999,0.0006924681,0.0005439137,0.001500207,0.0005737662,0.0004857148,0.0003073707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004641838,"about_ca_system_score_gemma":0.0002411617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004374651,"about_ca_topic_score_gemma":0.0009218095,"domain_scores_codex":[0.9978709,0.0005017987,0.00008061375,0.0002627706,0.001142583,0.0001412529],"domain_scores_gemma":[0.9956493,0.002548472,0.0003362066,0.0002465628,0.001143588,0.0000758391],"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":[0.003853568,0.0006268864,0.008424981,0.001821184,0.000213978,0.000237363,0.0002546131,0.01065396,0.6966953,0.001524294,0.0006513398,0.2750425],"study_design_scores_gemma":[0.0001448395,0.006160509,0.0138094,0.00006346893,0.0003709801,0.0007690328,0.0002158043,0.05084927,0.9222927,0.0004200134,0.004817772,0.00008632918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.769784,0.01048681,0.2098592,0.0003156133,0.0003156458,0.000490275,0.0002249538,0.0008488277,0.00767462],"genre_scores_gemma":[0.8710936,0.002531968,0.1236994,0.0001719954,0.00009538794,0.0001153507,0.0001327342,0.00008439047,0.002075082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00175698,"threshold_uncertainty_score":0.008664846,"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."}}