{"id":"W2130550030","doi":"10.1109/autest.2010.5613558","title":"An integrated framework to facilitate TPS development and test using real measurement data","year":2010,"lang":"en","type":"article","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Computer science; Test (biology)","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":[0.001440431,0.0001617092,0.0001560476,0.0001361121,0.0001903085,0.0001319232,0.001371788,0.0001532848,0.00001156093],"category_scores_gemma":[0.00054612,0.00013172,0.00000890623,0.0003195781,0.00004601669,0.0003943748,0.0001759813,0.0002901634,0.00003943585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005322539,"about_ca_system_score_gemma":0.0001468562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003000706,"about_ca_topic_score_gemma":0.001045111,"domain_scores_codex":[0.9983132,0.0000440791,0.0002678213,0.0006443331,0.0004365849,0.0002939721],"domain_scores_gemma":[0.9979452,0.00006172212,0.00004913172,0.001570521,0.0001916843,0.0001817786],"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":[0.00001155157,0.0002350883,0.03230245,0.00002228894,0.0000514612,0.00001762298,0.002741767,0.00001186183,0.8256909,0.01191787,0.0009586735,0.1260385],"study_design_scores_gemma":[0.001387573,0.000672948,0.1033778,0.0004898325,0.00005092907,0.0002243344,0.00206932,0.06605744,0.6392245,0.002252271,0.1816401,0.002552978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4299393,0.00001488711,0.5682827,0.0003371105,0.0004490476,0.0002448466,0.000003775506,0.0003816729,0.0003465876],"genre_scores_gemma":[0.6299019,0.000001053977,0.3698953,0.0001324395,0.00001916934,0.000005681019,0.000002863317,0.000004862684,0.00003675833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1999626,"threshold_uncertainty_score":0.5371386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2096736627433888,"score_gpt":0.3046796225665902,"score_spread":0.09500595982320137,"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."}}