{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001244948,0.001386398,0.001147702,0.00786832,0.004921039,0.006022545,0.002020112,0.001409115,0.3039689],"category_scores_gemma":[0.006928158,0.001265723,0.0008647116,0.01387776,0.0008980617,0.002814692,0.002042677,0.002791361,0.1873467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01715711,"about_ca_system_score_gemma":0.1091725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9611776,"about_ca_topic_score_gemma":0.9831924,"domain_scores_codex":[0.9984968,0.0000687275,0.00007633227,0.00008706534,0.0009330923,0.0003380197],"domain_scores_gemma":[0.9930009,0.0002757764,0.0001351412,0.0002066767,0.005475063,0.0009064775],"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":[0.000002705436,0.000003129043,0.0001320477,0.0000248878,7.486263e-7,0.000006747539,0.00002723356,0.00002378777,0.000007757213,0.0005414654,0.9876528,0.01157669],"study_design_scores_gemma":[0.000002616065,0.000001362867,0.0008573841,0.00008257028,0.000001574294,0.00001242599,0.00009994283,0.0000314584,0.00001552951,0.0002689434,0.9986187,0.000007405863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001185521,0.009607162,0.002849553,0.01126605,0.00570404,0.0006009053,0.3649419,0.005930607,0.5979143],"genre_scores_gemma":[0.00418741,0.007852346,0.005064718,0.004130964,0.0003880502,0.0003885712,0.08729272,0.002819306,0.887876],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3039689,"threshold_uncertainty_score":0.9928038,"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."}}