{"id":"W2349363592","doi":"","title":"Design and Realization of Circuit Board Detective System Based on LabVIEW and IMAQ Vision","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; USB; Computer hardware; Printed circuit board; Fixture; Embedded system; Realization (probability); On board; Test fixture; Test (biology); Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001613619,0.0001111343,0.0001680166,0.0001305405,0.0000814897,0.00003739469,0.00004662751,0.00009277639,0.000001035455],"category_scores_gemma":[5.930946e-7,0.0001079551,0.00002428125,0.0002198871,0.00001376339,0.0000524453,0.000007431082,0.00007112182,0.000005150247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005098512,"about_ca_system_score_gemma":0.000007850585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008540282,"about_ca_topic_score_gemma":4.609721e-7,"domain_scores_codex":[0.9993664,0.00004592598,0.0002279876,0.0001861273,0.00008082272,0.00009271643],"domain_scores_gemma":[0.9996262,0.00006627137,0.00005540462,0.0001507873,0.00005628265,0.00004511679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003521833,0.00006254041,0.00003745278,0.000361588,0.00002600206,0.000001104608,0.0002806022,0.03719859,0.1346821,0.004536901,0.0007605996,0.8220173],"study_design_scores_gemma":[0.002683995,0.001128158,0.007982551,0.001034755,0.0001104464,0.00006624178,0.0001000482,0.8256012,0.1162985,0.001215672,0.04296665,0.0008117569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007194507,0.0001650676,0.9911601,0.0000109219,0.00002015804,0.0008616458,0.000005345889,0.0001785371,0.0004037065],"genre_scores_gemma":[0.9920363,0.00001627119,0.007745005,0.0000338395,0.00006428592,0.00008085174,0.000004937973,0.00001367048,0.0000048345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9848418,"threshold_uncertainty_score":0.4402281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076778302282266,"score_gpt":0.2183987379508477,"score_spread":0.2076309549280251,"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."}}