{"id":"W2114126226","doi":"10.1109/test.1989.82343","title":"SASPL: a test program productivity analysis tool","year":2003,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mitel (Canada)","funders":"","keywords":"Test (biology); Overhead (engineering); Computer science; Productivity; Production (economics); Variety (cybernetics); Automatic test equipment; Automatic test pattern generation; Manufacturing engineering; Software engineering; Embedded system; Reliability engineering; Engineering; Artificial intelligence; Operating system; Electronic circuit","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":[0.004000998,0.001880663,0.0007698004,0.00385138,0.000505867,0.002184,0.00224397,0.0007540129,0.02482418],"category_scores_gemma":[0.01807008,0.001262935,0.001405722,0.0020382,0.0004825458,0.002663274,0.001451376,0.002166703,0.008912487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007871884,"about_ca_system_score_gemma":0.002072373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015157,"about_ca_topic_score_gemma":0.001738011,"domain_scores_codex":[0.9963289,0.0009870816,0.0004310032,0.000374491,0.001703742,0.0001747983],"domain_scores_gemma":[0.9843731,0.009803664,0.001212331,0.001298714,0.003063232,0.0002489959],"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":[0.000835622,0.0003604309,0.007104856,0.001180683,0.0002775548,0.0005106012,0.000497778,0.04632577,0.02286831,0.01777111,0.182083,0.7201844],"study_design_scores_gemma":[0.0006006101,0.0006843228,0.005795116,0.0003594834,0.0002715149,0.001287733,0.0002226464,0.6370976,0.0587002,0.02985756,0.2648693,0.0002539588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0031024,0.00009129485,0.8437817,0.0001452517,0.00005390872,0.0001788435,0.002684245,0.1477883,0.002174116],"genre_scores_gemma":[0.06638386,0.0003105725,0.8801855,0.0003253107,0.0001500971,0.001486631,0.01492784,0.02881652,0.007413649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02482418,"threshold_uncertainty_score":0.08304513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662901627646022,"score_gpt":0.2505394489267742,"score_spread":0.2339104326503139,"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."}}