{"id":"W2024563037","doi":"10.1088/0026-1394/42/4/009","title":"Chi-squared statistics for KCRV candidates","year":2005,"lang":"en","type":"article","venue":"Metrologia","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Deutsche Forschungsgemeinschaft","keywords":"Statistics; Mathematics","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":[0.01109246,0.0003297397,0.001068185,0.003330503,0.001062501,0.001433366,0.001292247,0.0009996254,0.07522717],"category_scores_gemma":[0.132134,0.0001552485,0.001310308,0.003696484,0.000800925,0.001247944,0.0009926141,0.001871467,0.0102805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006062779,"about_ca_system_score_gemma":0.001767361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00141885,"about_ca_topic_score_gemma":0.001989259,"domain_scores_codex":[0.9856403,0.004432708,0.001269195,0.001552258,0.005824157,0.001281472],"domain_scores_gemma":[0.837622,0.127161,0.006112437,0.01086233,0.01427929,0.003962881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004650972,0.0006487459,0.4581788,0.0009843193,0.0008032309,0.001275723,0.001914454,0.002584568,0.001465767,0.02598697,0.2511786,0.2503278],"study_design_scores_gemma":[0.0007199545,0.003978278,0.7971121,0.0006819224,0.0007600515,0.006183269,0.008300301,0.01990988,0.004843349,0.03795225,0.1192767,0.000281888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7453083,0.001709518,0.06975216,0.006697048,0.002658621,0.001650234,0.06184516,0.001373183,0.1090057],"genre_scores_gemma":[0.9481167,0.0002001071,0.008793416,0.0005356826,0.0003925205,0.0008493251,0.01938978,0.0003618544,0.02136063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07522717,"threshold_uncertainty_score":0.2516599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2712477366672402,"score_gpt":0.4453079924905485,"score_spread":0.1740602558233084,"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."}}