{"id":"W2013579017","doi":"10.1109/coase.2010.5584605","title":"A Quality Framework to check the applicability of engineering and statistical assumptions for automated gauges","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Statistical process control; Correctness; Outlier; Computer science; Process (computing); Process capability; Automotive industry; Quality (philosophy); Industrial engineering; Data mining; Statistical model; Gauge (firearms); Work in process; Engineering; Algorithm; Artificial intelligence","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":[0.0293582,0.001802325,0.001826994,0.007429142,0.001558433,0.005739118,0.004017434,0.002188379,0.001067758],"category_scores_gemma":[0.0820252,0.00110201,0.002612474,0.002634285,0.004469583,0.006338045,0.003713412,0.003737378,0.0004154369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004153429,"about_ca_system_score_gemma":0.007581441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0170084,"about_ca_topic_score_gemma":0.006457105,"domain_scores_codex":[0.9564373,0.008929968,0.004704654,0.005129292,0.02284415,0.001954522],"domain_scores_gemma":[0.8992493,0.02686878,0.0175531,0.02081429,0.03353762,0.001977001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005088398,0.0006085029,0.03181379,0.0005720247,0.0003706425,0.0005789631,0.001153475,0.3932953,0.02529131,0.2933774,0.004951825,0.2474779],"study_design_scores_gemma":[0.00007334747,0.0006386526,0.00424329,0.000145907,0.0001245837,0.0003603073,0.0001695096,0.9229556,0.017704,0.04604483,0.007408599,0.0001314068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007934482,0.00009826294,0.9884956,0.000170079,0.00001983502,0.0001741625,0.0001030007,0.00219715,0.0008073787],"genre_scores_gemma":[0.2779835,0.000114839,0.7200123,0.0001334875,0.00006036144,0.000373996,0.0004752445,0.0003838172,0.0004623758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0293582,"threshold_uncertainty_score":0.1552629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502075389622091,"score_gpt":0.3472391183472207,"score_spread":0.3222183644509998,"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."}}