{"id":"W7019682425","doi":"","title":"Immigrants in Prairie Cities: Ethnic Diversity in Twentieth-Century Canada","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Ethnic group; Diversity (politics); Population; Cultural diversity; Census","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":[0.001239966,0.0002954417,0.0005772978,0.002730911,0.02252133,0.006144966,0.002319179,0.001061298,0.005672059],"category_scores_gemma":[0.00247052,0.0003819449,0.0004509223,0.007569661,0.003944828,0.00165633,0.004536941,0.002456661,0.0002810892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07753832,"about_ca_system_score_gemma":0.1257715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986694,"about_ca_topic_score_gemma":0.9997014,"domain_scores_codex":[0.9982296,0.00012549,0.00004293224,0.0001512939,0.0003055255,0.001145201],"domain_scores_gemma":[0.9970561,0.0001621106,0.00024122,0.00004874997,0.001174319,0.001317566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003243996,0.0001831224,0.5446447,0.0002789501,0.0001412096,0.001175412,0.3591668,0.0003339374,0.0008326866,0.01551439,0.01646764,0.06093681],"study_design_scores_gemma":[0.00001799139,0.00002695905,0.5135067,0.0003193622,0.00005197926,0.0001767339,0.452785,0.000235293,0.00014353,0.0004873064,0.03218096,0.00006815402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783278,0.002728747,0.00008912889,0.003960604,0.00007289517,0.00003437674,0.0008468751,0.000009867697,0.01392966],"genre_scores_gemma":[0.9888645,0.001845733,0.0001346739,0.000483946,0.00001209998,0.00001775054,0.0003025619,0.00001261355,0.008326151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07753832,"threshold_uncertainty_score":0.5625825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877863369352663,"score_gpt":0.2342361166623686,"score_spread":0.205457482968842,"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."}}