{"id":"W2615859282","doi":"","title":"Classification algorithms for virtual metrology","year":2014,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; Polytechnique Montréal","funders":"","keywords":"Metrology; Computer science; Algorithm; Process (computing); Sampling (signal processing); Dimensional metrology; Quality (philosophy); Measurement uncertainty; Data mining; Mathematics; Computer vision; 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":[0.0003023881,0.00009845546,0.0001518358,0.0001031766,0.0001221161,0.00002714504,0.00006364122,0.00025775,0.00001308964],"category_scores_gemma":[0.00009014761,0.00009397716,0.00007206297,0.0001051379,0.00003129049,0.00005844369,0.000003701273,0.0001484759,0.00003960154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008359973,"about_ca_system_score_gemma":0.000004717214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001291854,"about_ca_topic_score_gemma":0.000004043713,"domain_scores_codex":[0.9993872,0.00004303303,0.0001847373,0.0001373921,0.00008151896,0.0001661281],"domain_scores_gemma":[0.9996027,0.0001364131,0.00003399823,0.0001411964,0.0000378835,0.00004780338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000106914,0.00003320051,0.0003886727,0.00006906864,0.0001492344,0.000001658523,0.0008984151,0.004721186,0.0439849,0.1743457,0.0238869,0.7514142],"study_design_scores_gemma":[0.001752244,0.0004959831,0.00217881,0.00001042674,0.00003874017,0.00002167503,0.0003376708,0.3438018,0.008149473,0.002464913,0.6403582,0.0003901825],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.253143,0.00004023216,0.7417617,0.00008845135,0.002172915,0.0002154771,0.000008252536,0.0003164821,0.002253477],"genre_scores_gemma":[0.9966062,0.000005246829,0.001945096,0.00005845798,0.00096522,0.00006605784,0.00001668242,0.00002602209,0.0003109995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.751024,"threshold_uncertainty_score":0.3832277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047120313608992,"score_gpt":0.2298189276820305,"score_spread":0.2093477245459406,"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."}}