{"id":"W6980054162","doi":"","title":"ARCHIVEIT-2402-WEEKLY-HOWSVU-20130117161625-00000-crawling113.us.archive.org-6680.warc.gz","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Field (mathematics); Natural (archaeology); Work (physics)","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":[0.001325253,0.002088947,0.001463858,0.01024033,0.002565263,0.006617991,0.002320821,0.001596538,0.8407657],"category_scores_gemma":[0.01108737,0.001621624,0.001052455,0.01837984,0.0007422079,0.003522247,0.0040358,0.001553109,0.9029111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003751559,"about_ca_system_score_gemma":0.004836884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1683839,"about_ca_topic_score_gemma":0.1894364,"domain_scores_codex":[0.9988253,0.00009258542,0.0000757188,0.0001866895,0.0005924272,0.0002273139],"domain_scores_gemma":[0.9925316,0.0009191468,0.0002098257,0.001781312,0.00363069,0.0009274037],"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":[0.000009883567,0.000006732947,0.00009797813,0.00006047148,0.000002252155,0.000004189602,0.00002809909,0.00001966157,0.00002979213,0.0002790714,0.9901443,0.009317716],"study_design_scores_gemma":[0.00001636157,0.000003013381,0.0008146013,0.00007498381,0.00000287873,0.00001050092,0.00004086137,0.00006722846,0.000218117,0.0003813398,0.9983576,0.00001251581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000291819,0.00017843,0.001237051,0.0004259636,0.0001682658,0.0001318665,0.7255532,0.03974901,0.2322645],"genre_scores_gemma":[0.001910764,0.0005578732,0.002899577,0.0003360215,0.00008694995,0.0002689024,0.6041119,0.04009597,0.3497322],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1683839,"threshold_uncertainty_score":0.3348075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007222489924250638,"score_gpt":0.205045542663977,"score_spread":0.1978230527397264,"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."}}