{"id":"W6999076628","doi":"","title":"Canada, a description of its principal cities, rivers, lakes, &c.; containing most useful information for all classes of Emigrants, being personal observations : by a commercial man who has resided in Canada.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Principal (computer security); Summit; Identification (biology); Feature (linguistics)","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":[0.0002578527,0.001094189,0.0003844612,0.003659948,0.00538311,0.003527105,0.001060573,0.0007106846,0.04959729],"category_scores_gemma":[0.001127682,0.000414296,0.0003673075,0.009933469,0.001016384,0.0009261584,0.0007454896,0.0008674552,0.009834159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03249101,"about_ca_system_score_gemma":0.1076784,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956821,"about_ca_topic_score_gemma":0.9989654,"domain_scores_codex":[0.9995124,0.0000269069,0.00002115476,0.00004094771,0.000256782,0.0001417401],"domain_scores_gemma":[0.9985198,0.00004267446,0.00006153619,0.00003211079,0.001023,0.0003209148],"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":[0.00001683506,0.000009748023,0.003392939,0.0002643938,0.000008149262,0.00009101677,0.0008293947,0.0002366823,0.0002769119,0.006711605,0.962459,0.02570336],"study_design_scores_gemma":[0.000004502248,0.000005636086,0.02161632,0.0001157434,0.000007559654,0.00006001886,0.001282769,0.0001145209,0.0001032442,0.0002805862,0.9763818,0.00002719269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01402566,0.01260282,0.003067825,0.01013162,0.001444349,0.0004309836,0.3442948,0.002278802,0.6117233],"genre_scores_gemma":[0.09697416,0.01445998,0.01174703,0.003782561,0.0001326901,0.0002557424,0.08554289,0.000819936,0.7862849],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04959729,"threshold_uncertainty_score":0.2357399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183319843234813,"score_gpt":0.1843279893382713,"score_spread":0.1624947909059232,"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."}}