{"id":"W2896973335","doi":"","title":"LibGuides: First Nations, Métis and Inuit Perspectives: Integrating FNMI Perspectives","year":2017,"lang":"en","type":"libguides","venue":"","topic":"Global Politics and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Geography; Political science; Sociology; Computer science; World Wide Web","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":[0.001080559,0.000634512,0.0002973733,0.002634096,0.005162458,0.00820289,0.0007069404,0.00250645,0.02157174],"category_scores_gemma":[0.001491475,0.0002179015,0.0001788705,0.004453195,0.003315299,0.004000542,0.003189886,0.002873427,0.001204335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00756041,"about_ca_system_score_gemma":0.007256987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06663563,"about_ca_topic_score_gemma":0.1091673,"domain_scores_codex":[0.9995292,0.00019404,0.00001838953,0.00003763011,0.0001035523,0.0001172544],"domain_scores_gemma":[0.9995639,0.0001987731,0.00003902041,0.0000211125,0.0001120028,0.00006528958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005381183,0.0000381563,0.003162025,0.0003913638,0.000009483626,0.0005797421,0.01177828,0.0002331173,0.0001540416,0.8262452,0.08784215,0.0695126],"study_design_scores_gemma":[0.000006302515,0.00001126941,0.004904934,0.001638931,0.000008440189,0.0003553837,0.01564311,0.0002264437,0.00027339,0.04793442,0.9289812,0.00001609543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03475409,0.0892324,0.001230147,0.06650803,0.002320811,0.00002659455,0.0006466953,0.00005769542,0.8052235],"genre_scores_gemma":[0.4532554,0.08910894,0.004574629,0.01056585,0.002308254,0.0002276944,0.0007803134,0.0002139372,0.438965],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9333644,"threshold_uncertainty_score":0.1324955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02836927883132625,"score_gpt":0.2484699967996655,"score_spread":0.2201007179683393,"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."}}