{"id":"W2036280319","doi":"10.1088/0026-1394/43/1/013","title":"Pair-difference chi-squared statistics for Key Comparisons","year":2005,"lang":"en","type":"article","venue":"Metrologia","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Statistics; Chi-square test; Key (lock); Mathematics; Computer science","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":[0.03596244,0.001434357,0.004591313,0.0059038,0.002099321,0.002633167,0.006355044,0.004258764,0.1173654],"category_scores_gemma":[0.3648808,0.0006398082,0.004050354,0.009462762,0.002803471,0.004724329,0.002431106,0.00754568,0.01162357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508799,"about_ca_system_score_gemma":0.002357655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087524,"about_ca_topic_score_gemma":0.001540351,"domain_scores_codex":[0.9141408,0.0515389,0.006942302,0.01077654,0.01428299,0.002318429],"domain_scores_gemma":[0.5337103,0.4143829,0.006642248,0.03412176,0.009832642,0.0013101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01405644,0.002215597,0.03782145,0.01542892,0.008828567,0.003904955,0.004434837,0.01049878,0.004805124,0.1221213,0.298993,0.476891],"study_design_scores_gemma":[0.005121074,0.01163395,0.1512098,0.004542509,0.004300445,0.009190769,0.006644406,0.07204315,0.01222542,0.4568115,0.2650758,0.001201092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1235579,0.007096616,0.7084979,0.005689233,0.01344299,0.008022225,0.08651932,0.006493879,0.04067988],"genre_scores_gemma":[0.5424032,0.001502996,0.3811539,0.002471081,0.001402075,0.0191553,0.02967443,0.002630209,0.01960693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1173654,"threshold_uncertainty_score":0.3926265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4047697023176953,"score_gpt":0.4460307228827394,"score_spread":0.04126102056504405,"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."}}