{"id":"W1587686273","doi":"10.1002/9780470665480.ch17","title":"Statistics Canada's Quality Assurance Framework Applied to Agricultural Statistics","year":2010,"lang":"en","type":"other","venue":"","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"Government of Canada","keywords":"Statistics; Quality assurance; Agriculture; Quality (philosophy); Summary statistics; Business; Geography; Mathematics; Archaeology; Marketing; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.02135681,0.001427274,0.001975312,0.01021039,0.003659499,0.008736443,0.003266085,0.002422377,0.03841379],"category_scores_gemma":[0.1299873,0.002049631,0.001258213,0.02350406,0.001895542,0.002029286,0.001786061,0.004744495,0.01452547],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04659157,"about_ca_system_score_gemma":0.2733823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9721263,"about_ca_topic_score_gemma":0.9576409,"domain_scores_codex":[0.9653614,0.006270529,0.003145518,0.001264125,0.02143637,0.002522134],"domain_scores_gemma":[0.8002342,0.03436878,0.004732094,0.01142415,0.1447012,0.004539542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004759916,0.00003778073,0.002934731,0.0002056379,0.00003379686,0.00004030376,0.0001606198,0.002174126,0.00007794676,0.03601461,0.9140222,0.0442507],"study_design_scores_gemma":[0.00008712806,0.00002439768,0.02449866,0.0004778302,0.0000634737,0.00006252361,0.0003144624,0.008123778,0.0006640372,0.015134,0.9504411,0.000108685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003717145,0.003250569,0.08577085,0.02714027,0.002974031,0.004234248,0.4210843,0.0115297,0.4402989],"genre_scores_gemma":[0.05002878,0.007082636,0.1574076,0.008172318,0.001200849,0.004778883,0.1886938,0.005758398,0.5768768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9534084,"threshold_uncertainty_score":0.338047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006626341535660772,"score_gpt":0.2477080413083035,"score_spread":0.2410816997726427,"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."}}