{"id":"W7096980626","doi":"","title":"Principal Statistician","year":2006,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistician; Principal (computer security); Table (database); Economic Justice; Principal component analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02064239,0.001509284,0.004560489,0.005530308,0.001445454,0.006024524,0.00241585,0.002144048,0.2662778],"category_scores_gemma":[0.1779174,0.001345905,0.001708899,0.007392048,0.001885992,0.002497254,0.002256616,0.005494017,0.1824467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002601309,"about_ca_system_score_gemma":0.01764492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004788748,"about_ca_topic_score_gemma":0.005483831,"domain_scores_codex":[0.975535,0.007250797,0.003268462,0.005348611,0.007357385,0.001239797],"domain_scores_gemma":[0.9027716,0.02164256,0.003582287,0.02260115,0.04710431,0.002298076],"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":[0.001013385,0.00008365796,0.001964515,0.0008969135,0.0001159249,0.00007294292,0.0003521545,0.0008002581,0.0006365909,0.01524292,0.8320841,0.1467366],"study_design_scores_gemma":[0.0006338274,0.0002406279,0.006956335,0.001124851,0.0001530979,0.0001780313,0.0005328938,0.006670809,0.002124811,0.01969488,0.9616003,0.00008949552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01381365,0.002357566,0.4336884,0.0237942,0.03528381,0.01977498,0.2745989,0.03878843,0.1579001],"genre_scores_gemma":[0.09333937,0.002885142,0.3441684,0.008683183,0.007369597,0.04933157,0.09726267,0.01922443,0.3777356],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7337222,"threshold_uncertainty_score":0.8907881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05073906367956852,"score_gpt":0.3399292823959886,"score_spread":0.2891902187164201,"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."}}