{"id":"W7055509297","doi":"","title":"Contagious Minorities: Chinese Canadians\\nduring the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Multiculturalism; Racism; Narrative; Politics; Pandemic; Immigration policy; Power (physics); Commission","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":[0.001072495,0.0003681635,0.0002101947,0.0007322573,0.03059305,0.00515466,0.001130561,0.001736211,0.00440744],"category_scores_gemma":[0.001967639,0.0002299926,0.0002572509,0.001687677,0.008053347,0.001629962,0.003672814,0.003101963,0.0002406647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03978892,"about_ca_system_score_gemma":0.06915115,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9697466,"about_ca_topic_score_gemma":0.9795934,"domain_scores_codex":[0.9990253,0.0001214178,0.00001586624,0.00008458813,0.0002090757,0.0005436796],"domain_scores_gemma":[0.9989377,0.00008903479,0.0001162974,0.00003681628,0.000290406,0.0005296975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008247505,0.00003899592,0.03068324,0.00008577397,0.000016162,0.001950611,0.9113343,0.00008706067,0.0009647475,0.01656357,0.02043196,0.01776113],"study_design_scores_gemma":[0.000008993853,0.00003341488,0.02881375,0.000109282,0.0000288454,0.0002571786,0.869687,0.0001145505,0.0002483279,0.0009545344,0.09968307,0.00006116712],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9181244,0.001786032,0.0001467428,0.02848675,0.0004284062,0.00004915799,0.0001607129,0.0000167601,0.05080103],"genre_scores_gemma":[0.9832625,0.00151707,0.0001069324,0.003751763,0.00006511077,0.000009667428,0.00007407607,0.00001050433,0.01120236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03978892,"threshold_uncertainty_score":0.2886901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02093314349204828,"score_gpt":0.2166212789782951,"score_spread":0.1956881354862468,"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."}}