{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005443678,0.0000326002,0.00004133101,0.00001703599,0.0000299429,0.000009057569,0.00001944739,0.00001528108,0.0005465482],"category_scores_gemma":[0.00003670816,0.00002721276,0.00001147851,0.0000338208,0.000005915955,0.00002814011,0.000005101247,0.00001729553,0.00006081049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001144285,"about_ca_system_score_gemma":0.000005038517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202516,"about_ca_topic_score_gemma":0.0002492387,"domain_scores_codex":[0.9996985,0.000007152357,0.0001113517,0.0000465337,0.00007445263,0.00006198489],"domain_scores_gemma":[0.9998146,0.00005523084,0.00002909926,0.00006665651,0.00002231143,0.00001213614],"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":[8.915734e-7,0.00001967468,0.005674283,0.00000657376,8.513991e-7,6.613629e-7,0.0000135966,0.00002805831,0.0000291147,0.9815017,0.01141888,0.001305695],"study_design_scores_gemma":[0.0001455268,0.000008030894,0.1598948,0.000003760191,0.000006856805,0.00000247085,0.000005954917,0.00879153,0.000155281,0.8172513,0.01366018,0.00007430169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3645327,0.000004873704,0.3545296,0.0003094117,0.0001130275,0.0001367959,0.000009427192,0.0001902444,0.2801739],"genre_scores_gemma":[0.9015425,9.279451e-8,0.09295417,0.00003071065,0.00006683803,0.000002042307,0.00001572364,0.000004869072,0.005382989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5370098,"threshold_uncertainty_score":0.598432,"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."}}