{"id":"W6942108826","doi":"10.14288/1.0222419","title":"Canada; the country, its people, religions, politics, rulers, and its apparent future, being a compendium of travel from the Atlantic to the Pacific, the Great Lakes, Manitoba, the North-west, and British Columbia, with a description of their resources, trade, statistics, etc., viewed in its business, social and political aspects. The various cities and resorts, salmon rivers, etc., together with the legends of the Ottawa, the lower St. Lawrence, and the coast. A valuable and interesting book for both travellers and home folks. With 40 illustrations, rapids of the St. Lawrence, &c","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compendium; Head (geology); Settlement (finance); Table (database)","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":[0.0002037989,0.0009656362,0.0004256987,0.002180983,0.00892519,0.00635445,0.001055614,0.0008340382,0.02693895],"category_scores_gemma":[0.0009384637,0.0003554952,0.0002166824,0.008836603,0.003728467,0.001687919,0.001372299,0.001377899,0.004499911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04382053,"about_ca_system_score_gemma":0.1064716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879814,"about_ca_topic_score_gemma":0.9976724,"domain_scores_codex":[0.9994899,0.0000315264,0.00001251121,0.00005514618,0.000302486,0.0001084102],"domain_scores_gemma":[0.999535,0.00003170974,0.00002052171,0.00001707193,0.0002794277,0.0001163537],"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":[0.00001091804,0.000005642057,0.001443276,0.000303087,0.000007769727,0.0001187686,0.003853159,0.00009035507,0.0001527533,0.02948042,0.8725187,0.09201518],"study_design_scores_gemma":[0.000001170778,0.000001613821,0.00251099,0.0001519417,0.000004010109,0.0000477478,0.001867201,0.00001567701,0.00003175207,0.0009141373,0.9944469,0.000006856762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00508989,0.1626728,0.001265898,0.02127852,0.004239909,0.00005481374,0.008914334,0.0004334141,0.7960505],"genre_scores_gemma":[0.09764396,0.08921602,0.002924253,0.00385339,0.000447856,0.00005567116,0.003312912,0.0003496659,0.8021963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04382053,"threshold_uncertainty_score":0.3179417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200535542495438,"score_gpt":0.1692857067345075,"score_spread":0.1572803513095531,"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."}}