{"id":"W2127607603","doi":"","title":"Celebrating 10 years of Government of Canada metadata standards","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Banking Systems and Strategies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; National Research Council Canada; Treasury Board of Canada Secretariat","funders":"","keywords":"Metadata; World Wide Web; Namespace; Geospatial metadata; Meta Data Services; Government (linguistics); Computer science; Metadata repository; Business; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02731963,0.001011939,0.0008954048,0.00789266,0.01882471,0.02492108,0.004843777,0.006411538,0.01714092],"category_scores_gemma":[0.0431088,0.000896287,0.001181497,0.01252935,0.009207573,0.008974768,0.009047245,0.00853099,0.007220116],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1780282,"about_ca_system_score_gemma":0.3441983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9719472,"about_ca_topic_score_gemma":0.9718748,"domain_scores_codex":[0.9363216,0.002519763,0.001706316,0.002859925,0.04890181,0.007690572],"domain_scores_gemma":[0.9037927,0.003129409,0.001429109,0.004930647,0.07185657,0.01486159],"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":[0.00003395549,0.00004036504,0.0006758323,0.00008607737,0.000008712404,0.0001123035,0.001294038,0.000177978,0.0004242998,0.1607731,0.771163,0.06521036],"study_design_scores_gemma":[0.000003354803,0.000003784594,0.0005536627,0.00009925607,0.000003390463,0.00002119389,0.0003833313,0.00007810339,0.0001585031,0.003174434,0.9955007,0.0000203479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007210347,0.01889961,0.0157476,0.4625499,0.02471808,0.0004431021,0.00689864,0.003176422,0.4603563],"genre_scores_gemma":[0.07021349,0.0253435,0.0507241,0.0801584,0.004034796,0.0003538727,0.0187566,0.002543348,0.7478719],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1780282,"threshold_uncertainty_score":0.9533707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007459340110788674,"score_gpt":0.1960321992895055,"score_spread":0.1885728591787168,"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."}}