{"id":"W2136912904","doi":"10.1109/mse.2009.5270823","title":"Towards heterogeneous microsystems design-for-test in a graduate student environment","year":2009,"lang":"en","type":"article","venue":"","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada)","funders":"Infrastructure Canada","keywords":"Testability; Microsystem; Computer science; Debugging; Software engineering; Design for testing; Systems engineering; Rapid prototyping; Embedded system; Computer architecture; Reliability engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001592514,0.0001474074,0.000160431,0.00008280577,0.00002570748,0.00002525146,0.0001642453,0.00007679727,0.000004266264],"category_scores_gemma":[0.00001256616,0.0001359385,0.00004310652,0.00006407457,0.0000129333,0.00002403541,0.0000149133,0.0001006003,0.00002055405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495622,"about_ca_system_score_gemma":0.000006422701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009796927,"about_ca_topic_score_gemma":0.000002629768,"domain_scores_codex":[0.9992073,0.00000896012,0.0002053995,0.0001650257,0.0000833823,0.0003299089],"domain_scores_gemma":[0.9997367,0.00003387392,0.00001431089,0.0001830868,0.000005306674,0.00002669517],"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":[0.000005368319,0.00009340436,0.0001918416,0.00002420062,0.00002207133,0.00002066831,0.0003086112,0.006180587,0.9393221,0.00008056745,0.002316561,0.051434],"study_design_scores_gemma":[0.0003805266,0.0003047316,0.000817151,0.00002448232,0.000006828765,0.00002711355,0.00009395439,0.0009043568,0.9947566,0.0003323015,0.002133474,0.0002184111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925362,0.003668662,0.06865692,0.0002725177,0.00008485359,0.000556629,0.000004681649,0.00107299,0.0003207582],"genre_scores_gemma":[0.9948143,0.0006565568,0.004271645,0.00004581765,0.00001884855,0.00005472709,0.000002434735,0.00001790926,0.0001177506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06945232,"threshold_uncertainty_score":0.5543411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155185010093045,"score_gpt":0.2336878432393288,"score_spread":0.2121359931383984,"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."}}