{"id":"W3162900836","doi":"10.1007/978-3-030-67856-2_18","title":"Assessing a Binary Measurement System with Operator and Random Part Effects","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Operator (biology); Binary number; Repeatability; Computer science; System of measurement; Bitwise operation; Mathematics; Algorithm; Statistics; Data mining; Arithmetic","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001946074,0.0004230107,0.0009710315,0.0001587689,0.0002800549,0.001089905,0.0002972995,0.0001777696,0.0001208148],"category_scores_gemma":[0.001681745,0.0002589462,0.00007266786,0.0001010905,0.0001489046,0.0004644754,0.0002204951,0.0003548782,0.00007432552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002106397,"about_ca_system_score_gemma":0.0002769397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004500997,"about_ca_topic_score_gemma":0.00001254142,"domain_scores_codex":[0.9946426,0.0001252804,0.0007115118,0.001047857,0.003188923,0.000283858],"domain_scores_gemma":[0.9955482,0.002183777,0.0003059396,0.000560977,0.001135964,0.0002650948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001026033,0.0001274917,0.0005937738,0.004403604,0.001021738,0.008338964,0.0003965675,0.0009044327,0.001664935,0.5613923,0.00718797,0.4129422],"study_design_scores_gemma":[0.04154427,0.00380614,0.001392173,0.1156304,0.002979286,0.001747889,0.01136336,0.01874373,0.008541525,0.09648405,0.683376,0.01439111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001496904,0.007013342,0.4582021,0.00007505358,0.001069048,0.0007284536,0.00001260717,0.0001514571,0.5325982],"genre_scores_gemma":[0.4542153,0.0001309673,0.04603791,0.0002076518,0.001105146,0.0001490476,0.00001149872,0.0002358413,0.4979067],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6761881,"threshold_uncertainty_score":0.9999863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1510769629984147,"score_gpt":0.3758822293946816,"score_spread":0.2248052663962669,"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."}}