{"id":"W4223984122","doi":"10.3390/ijerph19084824","title":"Xenophobic Bullying and COVID-19: An Exploration Using Big Data and Qualitative Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Tech University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Misinformation; Coronavirus disease 2019 (COVID-19); Social media; Psychology; Psychological intervention; Mental health; Criminology; Racism; Sociology; Political science; Medicine; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005702494,0.00008559802,0.000175959,0.0008504206,0.0007158935,0.0001636869,0.0003438453,0.00003294407,0.001132808],"category_scores_gemma":[0.000312811,0.00008008893,0.00002082571,0.0002818972,0.0002285888,0.0007656694,0.0004720951,0.0003875021,8.393213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682199,"about_ca_system_score_gemma":0.0003688319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006957002,"about_ca_topic_score_gemma":0.00006998973,"domain_scores_codex":[0.9964648,0.001640543,0.0004155884,0.0003052941,0.0009148989,0.0002588025],"domain_scores_gemma":[0.998317,0.0003585002,0.0003529676,0.0001786525,0.00005929238,0.0007335721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002112339,0.004680085,0.224592,0.00009571736,0.003307678,0.0004256022,0.3227221,0.001615636,0.002506478,0.005581469,0.004712744,0.4276482],"study_design_scores_gemma":[0.006451017,0.004433028,0.07171617,0.00006596234,0.0001171145,0.001487144,0.7626856,0.03159924,0.00001096393,0.008605015,0.1122376,0.0005911351],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670132,0.002682222,0.01858683,0.01089183,0.0002771306,0.000147088,0.00034194,0.000005224457,0.00005448222],"genre_scores_gemma":[0.9957628,0.002230686,0.0005832391,0.0008840422,0.0001965219,0.000006089335,0.0002493981,0.00001048515,0.00007676057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4399635,"threshold_uncertainty_score":0.9997803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4192610423768788,"score_gpt":0.5329629346575875,"score_spread":0.1137018922807086,"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."}}