{"id":"W4290374666","doi":"10.1353/ces.2022.0015","title":"The History of Black People in Canada and the Intersection of Policies on Their Settlement","year":2022,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Population; History; White (mutation); Political science; Ethnology; Genealogy; Geography; Sociology; Law; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004803395,0.0005467455,0.001162481,0.007928953,0.01996171,0.01094631,0.002078865,0.001795469,0.006976278],"category_scores_gemma":[0.01086097,0.0004072408,0.0006767887,0.02304366,0.01261123,0.003928861,0.003312106,0.002880002,0.0003553068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09866203,"about_ca_system_score_gemma":0.2993181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872087,"about_ca_topic_score_gemma":0.9930794,"domain_scores_codex":[0.9953009,0.0009501044,0.0002081995,0.0003211206,0.001924465,0.001295181],"domain_scores_gemma":[0.9902784,0.00276719,0.0009688244,0.0001508835,0.0046827,0.00115192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001841608,0.00005122654,0.0285209,0.02525418,0.0003125709,0.002553837,0.3582597,0.0006505945,0.0004508016,0.10479,0.08288936,0.3960826],"study_design_scores_gemma":[0.00001038028,0.00003431358,0.04457717,0.04357867,0.0002708231,0.0006403573,0.2563454,0.00008992555,0.000215693,0.004155069,0.6499501,0.0001321623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05225205,0.8243539,0.0003358175,0.03993349,0.00146242,0.00006194094,0.001171098,0.00002511755,0.08040417],"genre_scores_gemma":[0.2705585,0.7160872,0.0005763056,0.00597846,0.0002940432,0.00005301549,0.0003564419,0.00003513241,0.006061006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09866203,"threshold_uncertainty_score":0.7158464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305898902680566,"score_gpt":0.2771235654298253,"score_spread":0.2240645764030196,"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."}}