{"id":"W7095944040","doi":"","title":"150 PUBLICATIONS\\t\\t\\t7,450\\tCITATIONS SEE PROFILE","year":2016,"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":"Key (lock); Productivity; Statistical analysis; Table (database)","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":["insufficient_payload"],"category_scores_codex":[0.001640173,0.001380448,0.00260284,0.01212148,0.001256047,0.006959184,0.001886913,0.001769429,0.8548518],"category_scores_gemma":[0.01220437,0.0006855348,0.000870389,0.02013653,0.0006328093,0.003374973,0.003196872,0.001387869,0.8268445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595131,"about_ca_system_score_gemma":0.003173882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003369188,"about_ca_topic_score_gemma":0.006607598,"domain_scores_codex":[0.9982123,0.0001801916,0.0002125186,0.0002757846,0.0009034438,0.0002157317],"domain_scores_gemma":[0.9881782,0.00233703,0.0009383219,0.0005873857,0.004886027,0.003073166],"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":[0.00003938795,0.00001488362,0.00008849367,0.001159299,0.000004588472,0.00001495665,0.000009774832,0.00002626226,0.0001656656,0.0003884946,0.9623569,0.03573137],"study_design_scores_gemma":[0.00002917483,0.00001646377,0.0008502897,0.0008124659,0.000006382024,0.00003445828,0.00002530075,0.00003369326,0.0001017312,0.0004866295,0.9975935,0.000009977754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009489218,0.0227894,0.001172759,0.008337928,0.02115066,0.0009145739,0.1886797,0.005799614,0.7502064],"genre_scores_gemma":[0.002686421,0.01366187,0.000905793,0.004316137,0.009860941,0.0006225932,0.05780806,0.002423143,0.9077151],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1451482,"threshold_uncertainty_score":0.2070361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09495355580823944,"score_gpt":0.3576866903827892,"score_spread":0.2627331345745497,"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."}}