{"id":"W3037950881","doi":"10.1016/j.ymssp.2020.106961","title":"Pre-classified reservoir computing for the fault diagnosis of 3D printers","year":2020,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Dongguan University of Technology; National Natural Science Foundation of China; ASCRS Research Foundation","keywords":"Computer science; Spare part; Fault (geology); Encoder; Data mining; Domain (mathematical analysis); Artificial intelligence; Pattern recognition (psychology); Engineering","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":[0.0002771975,0.0004009599,0.0005993733,0.0005684581,0.0002392494,0.0007485735,0.0008735367,0.0008460746,0.001965541],"category_scores_gemma":[0.001309416,0.0003097709,0.0004011358,0.0004174314,0.0003190938,0.0009943779,0.0006604538,0.0007326378,0.0004085203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975114,"about_ca_system_score_gemma":0.0006387879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002585195,"about_ca_topic_score_gemma":0.003151728,"domain_scores_codex":[0.999853,0.00002058592,0.00001093733,0.00002717839,0.00006007524,0.00002813128],"domain_scores_gemma":[0.9995402,0.0002111168,0.00004256009,0.00006296304,0.0001234742,0.00001976035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006014127,0.0001220112,0.002834575,0.0002552558,0.00009514928,0.0004057838,0.0001175691,0.4915141,0.04374758,0.006261347,0.003328549,0.4507166],"study_design_scores_gemma":[0.000002080311,0.00001661773,0.0001631579,0.000003735594,0.000004424846,0.00002582429,0.000004511558,0.9944542,0.004287818,0.0008329877,0.0002011214,0.00000343788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09062804,0.0009864919,0.9041193,0.0003024236,0.00009897491,0.00003662362,0.0002183621,0.001853737,0.001756003],"genre_scores_gemma":[0.8949302,0.0002646704,0.102664,0.00007871127,0.0000299672,0.00003476932,0.0001673615,0.00006041844,0.001769907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002585195,"threshold_uncertainty_score":0.006575406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04790435216738669,"score_gpt":0.2674828463253875,"score_spread":0.2195784941580008,"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."}}