{"id":"W3183993622","doi":"","title":"Mount A Libraries: Contemporary Canadian Govt. & Politics: A Research Guide: Evaluating Primary Sources","year":2019,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Mount; Library science; Political science; Geography; Computer science; Law","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01019488,0.0008947073,0.001003582,0.03164482,0.03396687,0.0209965,0.003050361,0.001423177,0.02267562],"category_scores_gemma":[0.02632739,0.0008087518,0.0006418295,0.07553834,0.007585339,0.007225622,0.004424499,0.002153354,0.002743072],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2194759,"about_ca_system_score_gemma":0.3918667,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993516,"about_ca_topic_score_gemma":0.9986206,"domain_scores_codex":[0.9903857,0.001183242,0.000514177,0.0003225337,0.006564349,0.001030071],"domain_scores_gemma":[0.9632326,0.003489193,0.001280781,0.0006763844,0.02903152,0.002289494],"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":[0.00007287898,0.0001012675,0.03157472,0.003470192,0.00004800131,0.0003375031,0.09814485,0.0003833882,0.0005974649,0.08250067,0.4425211,0.3402481],"study_design_scores_gemma":[0.00001576279,0.00002418053,0.0730153,0.003603364,0.0001087271,0.0001015094,0.1960495,0.0001858763,0.000648373,0.00427924,0.7218499,0.0001183714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08074847,0.06605764,0.007436805,0.07967319,0.001551554,0.002832161,0.04978796,0.0009842783,0.7109279],"genre_scores_gemma":[0.5277662,0.09602203,0.0564199,0.01083163,0.0004192223,0.003399014,0.01988396,0.0009600314,0.2842982],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9790035,"threshold_uncertainty_score":0.9052973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028375726416636,"score_gpt":0.3652160420085338,"score_spread":0.2623784693668701,"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."}}