{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006593305,0.0008248605,0.000699038,0.0009302364,0.0002982543,0.0009782149,0.002249802,0.0006868613,0.006164354],"category_scores_gemma":[0.0008572408,0.0006649044,0.0003044066,0.0003437392,0.0002674611,0.0008779366,0.0005125849,0.0007624435,0.002926281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004430949,"about_ca_system_score_gemma":0.0007305166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009349251,"about_ca_topic_score_gemma":0.0005683134,"domain_scores_codex":[0.999171,0.00007964595,0.00004870155,0.0002019328,0.0004080353,0.00009069037],"domain_scores_gemma":[0.9994056,0.00007547937,0.00005732976,0.00006104566,0.0003352546,0.00006528297],"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":[0.0004134634,0.0002262257,0.003113213,0.0006541429,0.0001127882,0.0005000172,0.0004654317,0.005150936,0.486066,0.0106633,0.01312035,0.4795142],"study_design_scores_gemma":[0.0005391188,0.002736022,0.0102218,0.0001525576,0.0003219641,0.005825813,0.0001964034,0.2159385,0.5746405,0.003530952,0.1855384,0.000357961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01156938,0.0003119654,0.9721773,0.0001426047,0.0001282573,0.0002870949,0.0001256975,0.01055078,0.004706826],"genre_scores_gemma":[0.259356,0.000489727,0.7257767,0.000450493,0.0001598579,0.0008804324,0.0006721409,0.0005022743,0.01171236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006164354,"threshold_uncertainty_score":0.02062178,"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."}}