{"id":"W7072162052","doi":"","title":"150 years of Stats Canada! : a guide to Canada's greatest country","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Government (linguistics); Work (physics); Quality (philosophy)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001815916,0.0002582999,0.0004879883,0.0000595718,0.00005887117,0.00002421227,0.0003385905,0.0001977304,0.05226111],"category_scores_gemma":[0.000603686,0.0002824149,0.00005881486,0.000007400825,0.00004404137,1.726478e-7,0.00006408515,0.0001370847,0.0001677685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002467751,"about_ca_system_score_gemma":0.0007394202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971362,"about_ca_topic_score_gemma":0.9993191,"domain_scores_codex":[0.9981664,0.00003428197,0.0007068689,0.0001508516,0.00069187,0.00024976],"domain_scores_gemma":[0.9977621,0.0001632187,0.001114253,0.0005560111,0.0002551853,0.0001491805],"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":[0.00002433328,0.00001318919,0.00001975461,0.0005707372,0.00004911287,0.00001904107,0.00006240608,0.0002376994,9.954594e-8,0.00009614146,0.9967286,0.002178857],"study_design_scores_gemma":[0.0002864782,0.00003506379,0.0002525714,0.0004665717,0.00005495694,0.00002051623,0.00002975845,0.00002612327,0.000003933161,0.00001587894,0.9985387,0.000269401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002360795,0.00006078045,0.000001444354,0.0001612482,0.0003305647,0.0004473135,0.001250813,0.00004254967,0.9974692],"genre_scores_gemma":[0.001761812,0.00003026003,0.002316849,0.0002053674,0.0000934189,0.000008540007,0.0002827883,0.00009543508,0.9952055],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05209334,"threshold_uncertainty_score":0.9999628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003624059047114,"score_gpt":0.2281624054348742,"score_spread":0.2181261648444031,"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."}}