{"id":"W4221103240","doi":"10.18356/9789210011143c006","title":"A Quality Framework for Statistical Algorithms","year":2022,"lang":"en","type":"book-chapter","venue":"United Nations eBooks","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality assurance; Quality (philosophy); Context (archaeology); Statistic; Computer science; Set (abstract data type); Statistics; Data science; Data mining; Mathematics; Engineering; Geography; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004656063,0.000262883,0.0003394465,0.00197999,0.0005189495,0.00003975381,0.0001591462,0.0003340303,0.002460463],"category_scores_gemma":[0.001634536,0.0002893096,0.0001532259,0.0001399669,0.00006671427,0.0000297763,0.00006021576,0.0005077531,0.0000179001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708555,"about_ca_system_score_gemma":0.0001042617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003065489,"about_ca_topic_score_gemma":0.00005870191,"domain_scores_codex":[0.9983125,0.00005714208,0.0006766393,0.0003018263,0.0004669724,0.0001849262],"domain_scores_gemma":[0.9944835,0.004196556,0.0004400288,0.0004144747,0.000380516,0.00008493404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001628807,0.00002442138,0.000001366752,0.000105625,0.00006810056,0.000001678313,0.0002244654,0.00001592088,5.667047e-7,0.9869851,0.004399374,0.008157066],"study_design_scores_gemma":[0.0001606576,0.00002686773,0.000005803739,0.00003538522,0.00006848705,0.000002447448,0.00000914491,0.0009324981,0.000001313358,0.5437448,0.4548323,0.0001803012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000007488466,0.00001244733,0.4202523,0.0001976278,0.0002407247,0.0008949073,0.003029641,0.0001795352,0.5751854],"genre_scores_gemma":[0.0003706857,0.00001034075,0.4607403,0.0002260005,0.0002764539,0.0002321805,0.005219897,0.0001272487,0.5327969],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4504329,"threshold_uncertainty_score":0.9999559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1665462631514715,"score_gpt":0.4098204043621033,"score_spread":0.2432741412106318,"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."}}