{"id":"W3162115923","doi":"","title":"Design of a Primary Test Calibration System for Price Industries' Testing Department","year":2019,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Calibration; Reliability engineering; Computer science; Engineering; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579535,0.001212878,0.001014093,0.001221782,0.0008105912,0.001383066,0.002418629,0.001008475,0.01762513],"category_scores_gemma":[0.002378713,0.0006778667,0.000470999,0.0005613188,0.0004471577,0.001085157,0.001125377,0.0009670708,0.009753271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120584,"about_ca_system_score_gemma":0.002408761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015877,"about_ca_topic_score_gemma":0.001203098,"domain_scores_codex":[0.9970283,0.0003172843,0.000175437,0.00076716,0.001475555,0.0002362171],"domain_scores_gemma":[0.9968893,0.0002741433,0.0002310036,0.0002894664,0.002128384,0.000187746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008626428,0.000992919,0.01633209,0.001010056,0.0001164066,0.000921237,0.001033056,0.01508175,0.388993,0.009051759,0.05848226,0.5071228],"study_design_scores_gemma":[0.0003785928,0.005486483,0.01816897,0.0002301324,0.0002423904,0.002517787,0.0004208795,0.1723066,0.5589471,0.002168797,0.2388795,0.0002527092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04800521,0.000221633,0.9055098,0.0006549439,0.0005908607,0.00315173,0.0006850647,0.02411121,0.01706968],"genre_scores_gemma":[0.4731875,0.0002613954,0.4724024,0.001321742,0.0002748768,0.003253997,0.001940849,0.001155362,0.04620185],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01762513,"threshold_uncertainty_score":0.05896193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135490335182486,"score_gpt":0.1815944106505968,"score_spread":0.1502395072987719,"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."}}