{"id":"W2601453476","doi":"","title":"Immigration from the United States into Upper Canada, 1784-1812--It's character and results. : Lieut.-Col. E. Cruikshank, Fort Erie.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Character (mathematics); History; Ancient history; Archaeology","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":[0.0003454223,0.0003609305,0.0001988958,0.001305906,0.01561151,0.004417799,0.000642657,0.0006160514,0.0120618],"category_scores_gemma":[0.0009923881,0.0002144303,0.0001322312,0.003810569,0.002284853,0.0009509732,0.002232319,0.001539132,0.0008648394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06345583,"about_ca_system_score_gemma":0.09000467,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965799,"about_ca_topic_score_gemma":0.9992021,"domain_scores_codex":[0.9994741,0.00002543519,0.000009818633,0.00003704029,0.000195355,0.0002582592],"domain_scores_gemma":[0.9994747,0.00003661203,0.00002957906,0.000008807257,0.0002673804,0.0001829628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001558902,0.00006454175,0.04699224,0.0003846057,0.00003288481,0.001816181,0.1287799,0.0003402164,0.0006398103,0.05574337,0.5638469,0.2012034],"study_design_scores_gemma":[0.000004072012,0.000006924664,0.06370614,0.0002654264,0.000006892053,0.0001092615,0.04939714,0.00003780712,0.0002379385,0.0004878739,0.8857176,0.0000228748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3104365,0.09748965,0.00022608,0.09714604,0.003001485,0.0000746293,0.009593838,0.0001091827,0.4819226],"genre_scores_gemma":[0.5094614,0.03349119,0.0003399116,0.005056052,0.0002317029,0.00002635494,0.001901852,0.000090152,0.4494014],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06345583,"threshold_uncertainty_score":0.4604064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008349577179628432,"score_gpt":0.1697006787101512,"score_spread":0.1613511015305228,"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."}}