{"id":"W2158421641","doi":"10.1109/vtest.2004.1299226","title":"On new current signatures and adaptive test technique combination","year":2004,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Current (fluid); Computer science; Margin (machine learning); Resistive touchscreen; Test (biology); Test method; Test set; Engineering; Artificial intelligence; Machine learning; Mathematics; Electrical engineering; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000761864,0.00007075746,0.00005697192,0.00006352764,0.0000704084,0.00006448429,0.0001780058,0.00002895761,0.000002475115],"category_scores_gemma":[0.0000869225,0.00005831491,0.00001456172,0.0001652292,0.00001446468,0.0001766703,0.00005063451,0.0001194786,0.00001048504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002816594,"about_ca_system_score_gemma":0.00005389476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004267546,"about_ca_topic_score_gemma":0.000006871161,"domain_scores_codex":[0.9995062,0.000008617907,0.00007166289,0.0001939257,0.0001125307,0.0001070652],"domain_scores_gemma":[0.9996473,0.0001132183,0.00002931311,0.0001197441,0.00002975116,0.00006065729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[8.253365e-8,0.00008204814,0.0001337405,0.000003129188,0.000001278905,0.000003871949,0.0001103386,0.0001170207,0.001715349,0.7065167,0.0003876397,0.2909287],"study_design_scores_gemma":[0.001023953,0.0009892519,0.01033832,0.000289667,0.000005222634,0.00003034862,0.00001913331,0.01262973,0.0305699,0.9432268,0.0004487418,0.000428982],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001764672,0.0001558238,0.9921006,0.0005534971,0.0000651372,0.0001249257,2.999861e-7,0.0002100848,0.005024954],"genre_scores_gemma":[0.9931467,0.000005979396,0.006551653,0.0002042798,0.00002383199,0.000004941421,5.4649e-7,0.000002856896,0.00005924181],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.991382,"threshold_uncertainty_score":0.2378013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975508869948476,"score_gpt":0.2483709733007694,"score_spread":0.2286158846012846,"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."}}