{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08988783,0.000872671,0.001309085,0.005162581,0.009439545,0.023114,0.00409572,0.007534494,0.04100473],"category_scores_gemma":[0.2437018,0.001158711,0.0008556768,0.009358524,0.01778617,0.02483896,0.0124291,0.01208025,0.02180267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01259018,"about_ca_system_score_gemma":0.04335314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05037986,"about_ca_topic_score_gemma":0.04534436,"domain_scores_codex":[0.9155771,0.04197452,0.003255909,0.006319189,0.02825559,0.004617603],"domain_scores_gemma":[0.7027607,0.1668506,0.005568999,0.02580477,0.07625072,0.02276424],"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":[0.00003328066,0.00003300347,0.001736105,0.0001584461,0.00001109451,0.0001516489,0.002452518,0.0002504844,0.00007581923,0.2791813,0.6168883,0.09902795],"study_design_scores_gemma":[0.000006066334,0.000007659487,0.0003736569,0.000240362,0.000002605592,0.00007485021,0.001580298,0.0002239417,0.00004622946,0.04316923,0.9542561,0.00001884168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002413903,0.01378656,0.02002094,0.8176632,0.006796635,0.00007591252,0.0008269984,0.001338226,0.1370776],"genre_scores_gemma":[0.1325054,0.06168063,0.08414775,0.3293421,0.02232523,0.0007381991,0.003310345,0.007073859,0.3588764],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08988783,"threshold_uncertainty_score":0.475378,"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."}}