{"id":"W4407007856","doi":"10.3233/sji-130765","title":"Ivan Fellegi, Statistics Canada, Canada","year":2013,"lang":"en","type":"article","venue":"Statistical Journal of the IAOS","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statistics; Geography; Mathematics","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":[0.0001547251,0.0001046614,0.0002029576,0.00001816576,0.0001169368,0.00003026568,0.0002200015,0.0000263631,0.0009104577],"category_scores_gemma":[0.001538315,0.00006648229,0.00002488532,0.00007913447,0.00003880523,0.00005700866,0.00003073959,0.000224162,0.000003760478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003085622,"about_ca_system_score_gemma":0.002156764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9202453,"about_ca_topic_score_gemma":0.9868603,"domain_scores_codex":[0.9984405,0.00009447772,0.0005496083,0.00006343634,0.0006600904,0.0001919033],"domain_scores_gemma":[0.9979454,0.0009618815,0.0003797203,0.0001661168,0.0003815719,0.0001653468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000073012,0.00001920347,0.001881015,0.00003204647,0.00003099874,0.000025985,0.00003733359,0.0001219769,0.00001900616,0.1358787,0.8583375,0.003608985],"study_design_scores_gemma":[0.0008886806,0.00008737579,0.2469563,0.0001288481,0.0001927587,0.0003150629,0.0002297192,0.01170181,0.0001549252,0.697174,0.04178564,0.0003849062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2200995,0.0001260515,0.7410792,0.02365098,0.006621703,0.001102346,0.003403347,0.00002536431,0.003891529],"genre_scores_gemma":[0.9313442,0.000002480984,0.06719104,0.0005316542,0.0001716574,0.000001647819,0.000009090018,0.00001747798,0.0007307132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8165519,"threshold_uncertainty_score":0.9968874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037329453278758,"score_gpt":0.2739946934475482,"score_spread":0.2536213989147606,"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."}}