{"id":"W6939406350","doi":"10.6084/m9.figshare.12759512","title":"EXPANDING THE NARRATIVE ON ANTI-CHINESE STIGMA DURING COVID-19 - Initial Report.pdf","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diaspora; Narrative; Stigma (botany); Conversation; Ethnic group; Social stigma; Social media","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":[0.00191017,0.0006088725,0.0002659692,0.0007725485,0.01703832,0.004281358,0.001174565,0.004192878,0.01793527],"category_scores_gemma":[0.003863487,0.0002738115,0.0004188269,0.0008220553,0.005336162,0.003767052,0.005840093,0.005560844,0.002128508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005828483,"about_ca_system_score_gemma":0.003497434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03562754,"about_ca_topic_score_gemma":0.05074001,"domain_scores_codex":[0.9989997,0.0004856828,0.0000244862,0.00004430291,0.0001757797,0.0002700956],"domain_scores_gemma":[0.9976866,0.001144364,0.0001575036,0.00009166572,0.0002579419,0.0006619158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003182484,0.00003991854,0.002204607,0.0001433557,0.000005417065,0.004568062,0.7741042,0.00006442364,0.0005290566,0.02881707,0.1814007,0.00809127],"study_design_scores_gemma":[0.000005803964,0.00002582566,0.003057419,0.0002968736,0.000004341073,0.001188898,0.3430483,0.0001065145,0.0003679763,0.0009550539,0.6509125,0.00003052336],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2786227,0.004476297,0.002041696,0.2637022,0.01385761,0.000410248,0.00187468,0.0004205968,0.4345939],"genre_scores_gemma":[0.8274034,0.00280315,0.0007462974,0.02642998,0.001871745,0.0003460117,0.000397863,0.0002024332,0.139799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03562754,"threshold_uncertainty_score":0.07084036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08513956615368175,"score_gpt":0.3972468258471231,"score_spread":0.3121072596934413,"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."}}