{"id":"W2969530432","doi":"","title":"LibGuides: Government Publications - British Columbia: Open Data","year":2009,"lang":"en","type":"libguides","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Open government; Political science; Open data; Computer science; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008956314,0.001153123,0.0007131185,0.006146286,0.001883627,0.0049348,0.001355715,0.0007998103,0.2367376],"category_scores_gemma":[0.008518476,0.000762566,0.0003927385,0.02074947,0.0004842103,0.001725713,0.001259587,0.001930078,0.1217211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01031989,"about_ca_system_score_gemma":0.03332727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9039612,"about_ca_topic_score_gemma":0.9156497,"domain_scores_codex":[0.9990115,0.00006709898,0.000102812,0.0001154321,0.0005208812,0.0001822882],"domain_scores_gemma":[0.9929651,0.0005294295,0.00024553,0.0004438775,0.005364788,0.0004512754],"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":[0.0000431304,0.00002343175,0.002132892,0.0001322734,0.000006485192,0.0000246726,0.00007758698,0.0001630488,0.00004507049,0.001047402,0.9588266,0.03747747],"study_design_scores_gemma":[0.00003514564,0.000008092345,0.02255875,0.0004277243,0.00001828493,0.00003403705,0.0006104686,0.0006446583,0.0004886915,0.001055095,0.9740761,0.00004288683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003575169,0.001438149,0.000985929,0.001865966,0.0005231578,0.0001186283,0.7980496,0.003094574,0.1903489],"genre_scores_gemma":[0.0146536,0.002917867,0.002679789,0.0003650298,0.0001041166,0.0003475278,0.4424433,0.002250027,0.5342388],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2367376,"threshold_uncertainty_score":0.7919661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1515800365309261,"score_gpt":0.371152089016113,"score_spread":0.2195720524851869,"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."}}