{"id":"W4401462823","doi":"10.1353/ces.2024.a934422","title":"Chinese \"Yellow Peril\" in 21st Century Canada","year":2024,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Political science; Geography; Ethnology","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":[0.0005941794,0.0002108358,0.0001767411,0.001034162,0.01932076,0.004276409,0.0007130539,0.001184719,0.01268188],"category_scores_gemma":[0.0009378648,0.0001570941,0.000162177,0.002422323,0.004168502,0.0009003824,0.003073537,0.002987144,0.0005015236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0734437,"about_ca_system_score_gemma":0.1387058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885067,"about_ca_topic_score_gemma":0.9952035,"domain_scores_codex":[0.9989306,0.00004710471,0.00001638929,0.00007069993,0.0002529222,0.0006822429],"domain_scores_gemma":[0.9989096,0.00004850685,0.00007235637,0.00002157456,0.0003144477,0.0006334865],"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":[0.0001580049,0.0001318258,0.08607937,0.000448412,0.00004383486,0.003929783,0.1721332,0.0003767405,0.001417219,0.2815268,0.3613669,0.09238794],"study_design_scores_gemma":[0.00001615068,0.00002367631,0.08265691,0.0001613745,0.00001463492,0.0002221454,0.07086163,0.0001716898,0.0002777244,0.00254606,0.8429939,0.00005408502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5385207,0.007076101,0.0002785389,0.08229304,0.001363752,0.0001097404,0.001746885,0.00006765114,0.3685437],"genre_scores_gemma":[0.8347319,0.003229627,0.0001898597,0.009343917,0.0001335657,0.00003714096,0.0003880514,0.00003034287,0.1519156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0734437,"threshold_uncertainty_score":0.5328738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05626314602570214,"score_gpt":0.3493770048756619,"score_spread":0.2931138588499597,"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."}}