{"id":"W4317599533","doi":"10.1002/9781119672333.ch8","title":"Statistical Producers Challenges and Help","year":2023,"lang":"en","type":"other","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Statistic; Statistical analysis; Ecosystem; Summary statistics; Data science; Computer science; Statistics; Ecology; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008721775,0.0000956634,0.0001446748,0.00006899695,0.00001178009,0.000006988354,0.00002369896,0.0001014676,0.001388095],"category_scores_gemma":[0.000187248,0.00007808113,0.00001076927,0.00002041728,0.00001945181,0.00001006172,0.00001641912,0.00004974648,0.0001432899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009479551,"about_ca_system_score_gemma":0.000007469638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004719108,"about_ca_topic_score_gemma":0.0009354271,"domain_scores_codex":[0.9995387,0.00001509454,0.0000996827,0.0001599803,0.0001061312,0.00008039789],"domain_scores_gemma":[0.9996386,0.0001305537,0.00005459044,0.0001337827,0.000009791214,0.00003270628],"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":[7.357539e-7,0.000008140528,0.00002036816,0.0002160538,0.00001416709,0.000001494765,0.00007068215,4.276206e-8,1.306216e-7,0.424006,0.5396115,0.0360507],"study_design_scores_gemma":[0.0002176703,0.00003063106,0.003523731,0.0002392499,0.00006234576,0.000005752972,0.00008397018,0.0002821025,0.000001917202,0.1512838,0.8439497,0.0003191516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001384928,0.0007032459,0.001790149,0.0007520674,0.0002262901,0.000287256,0.00004312095,0.0009906918,0.9951933],"genre_scores_gemma":[0.0003138601,0.00160525,0.02292509,0.00001603688,0.0002707737,0.000014621,0.00002595951,0.0005962076,0.9742322],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3043381,"threshold_uncertainty_score":0.9995248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146049989534948,"score_gpt":0.3586122983260611,"score_spread":0.2440072993725662,"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."}}