{"id":"W2324016868","doi":"10.6000/1927-5129.2012.08.02.33","title":"Troubleshooting Techniques of Complex Multi-Layered PCBs","year":2012,"lang":"en","type":"article","venue":"Journal of Basic & Applied Sciences","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Original equipment manufacturer; Troubleshooting; Downtime; Dependability; Purchasing; Reliability engineering; Manufacturing engineering; Computer science; Engineering; Risk analysis (engineering); Systems engineering; Operations management; Embedded system; Business; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354582,0.0008126411,0.0004539196,0.001328328,0.0003843049,0.0004176029,0.0008500314,0.0005534785,0.001861973],"category_scores_gemma":[0.001588186,0.0004133192,0.000379479,0.000743264,0.000548087,0.0007510973,0.0005562662,0.0005128292,0.0003765259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271889,"about_ca_system_score_gemma":0.0002188676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008340405,"about_ca_topic_score_gemma":0.001249219,"domain_scores_codex":[0.999413,0.00006884597,0.00004219247,0.0001134166,0.0002763075,0.00008626789],"domain_scores_gemma":[0.9986703,0.0004160765,0.0003109047,0.0003035913,0.0002472701,0.00005172886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003149721,0.00009681872,0.002912342,0.0007320506,0.00004566676,0.00157591,0.001086618,0.01750516,0.5224215,0.00120243,0.001370513,0.450736],"study_design_scores_gemma":[0.00005428975,0.00112418,0.01538771,0.0001464486,0.0001508241,0.009132722,0.001116217,0.1668744,0.7815802,0.002510463,0.02180532,0.0001171961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.241446,0.001599039,0.7519943,0.0001604575,0.0001070866,0.0001292749,0.00006212362,0.00214078,0.002360898],"genre_scores_gemma":[0.8069416,0.0007550596,0.1886631,0.00005482355,0.00002121425,0.00002938078,0.00007377139,0.0001187083,0.0033422],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001861973,"threshold_uncertainty_score":0.006228864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08688545648037733,"score_gpt":0.2954068306318579,"score_spread":0.2085213741514806,"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."}}