{"id":"W2970511496","doi":"","title":"LibGuides: Government Publications - Canada: Truth and Reconciliation Commission","year":2009,"lang":"en","type":"libguides","venue":"","topic":"Korean Peninsula Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Commission; Government (linguistics); Political science; Public administration; Law; 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":[0.002612409,0.0006043441,0.0006167925,0.003534638,0.009187298,0.01444005,0.001632051,0.004231107,0.1248528],"category_scores_gemma":[0.008949959,0.000534843,0.000293278,0.01034576,0.002930018,0.003796388,0.002203662,0.004255763,0.01799344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03916496,"about_ca_system_score_gemma":0.1549645,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8435472,"about_ca_topic_score_gemma":0.892005,"domain_scores_codex":[0.9971839,0.0001489647,0.0001348404,0.0001932403,0.001917174,0.0004219043],"domain_scores_gemma":[0.9911696,0.0009084355,0.0002513245,0.000440338,0.006420815,0.00080946],"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":[0.00002427901,0.0000179123,0.0003920157,0.00008401576,0.000003079864,0.000079105,0.0003651722,0.00005929031,0.00005114851,0.04135092,0.9347643,0.02280861],"study_design_scores_gemma":[0.000006289598,0.00000171645,0.001160306,0.0001294383,0.000002598357,0.00001907177,0.0006529837,0.00003883786,0.0001102515,0.001279119,0.9965905,0.000008899198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00502317,0.01660034,0.0002697038,0.0624972,0.0059421,0.0001740721,0.008262745,0.0005869479,0.9006437],"genre_scores_gemma":[0.01981283,0.005058551,0.000538744,0.003334733,0.0004156262,0.0000823723,0.001785658,0.0002590703,0.9687124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1564528,"threshold_uncertainty_score":0.4176741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03376127546203135,"score_gpt":0.2771747451664094,"score_spread":0.243413469704378,"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."}}