{"id":"W127024218","doi":"","title":"The Yellow Peril Revisited: The Impact of SARS on Chinese and Southeast Asian Communities","year":2008,"lang":"en","type":"article","venue":"Resources for feminist research","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Political science; Population; Gender studies; Sociology; 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":[0.00279285,0.0003676654,0.0003047048,0.001075191,0.01274857,0.005173502,0.001041706,0.002308397,0.006704375],"category_scores_gemma":[0.003153513,0.0002380003,0.0003994813,0.001727727,0.006579021,0.002799774,0.00718197,0.002847359,0.0003181955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01046237,"about_ca_system_score_gemma":0.0200028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3792996,"about_ca_topic_score_gemma":0.4895431,"domain_scores_codex":[0.9983861,0.000482181,0.0000547585,0.00008292001,0.0003202932,0.0006737509],"domain_scores_gemma":[0.9970319,0.0004079538,0.0003548981,0.0001176046,0.0004315061,0.001656073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001316161,0.00008617389,0.06462618,0.0005902014,0.00005770475,0.008883281,0.7204028,0.0001536079,0.001343264,0.02192915,0.1207006,0.0610954],"study_design_scores_gemma":[0.0000182567,0.00009091236,0.07453652,0.0005163379,0.0000327169,0.001026772,0.7979053,0.0001333933,0.0003219984,0.002302559,0.1230512,0.00006405621],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6881438,0.006853377,0.0001519236,0.2407606,0.002137375,0.00007400905,0.0004804849,0.00004257414,0.06135584],"genre_scores_gemma":[0.9632233,0.003989254,0.0001173083,0.02099624,0.0007376747,0.00004727585,0.0001199519,0.00001976546,0.01074929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3792996,"threshold_uncertainty_score":0.7541837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.086274007341467,"score_gpt":0.4198355728698386,"score_spread":0.3335615655283716,"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."}}