{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03311158,0.0004088325,0.000742342,0.004881207,0.006325828,0.004902881,0.001573776,0.001200335,0.00236695],"category_scores_gemma":[0.04031919,0.0004927116,0.0005098342,0.005624176,0.007472552,0.004011139,0.006155678,0.002135576,0.0002435807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007462458,"about_ca_system_score_gemma":0.007704132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01211568,"about_ca_topic_score_gemma":0.02686432,"domain_scores_codex":[0.9796658,0.01649229,0.0006573057,0.0006062274,0.001536012,0.001042378],"domain_scores_gemma":[0.933414,0.05697755,0.002846545,0.00177331,0.00370686,0.001281711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005341436,0.00007215648,0.009221349,0.0008116942,0.00001740295,0.0006016932,0.9644094,0.0001992124,0.0009240963,0.007519319,0.001920778,0.01424951],"study_design_scores_gemma":[0.000006774487,0.00003205336,0.004847067,0.0007340859,0.000009978947,0.0001114739,0.9807281,0.0004238194,0.0003583401,0.003055212,0.009670409,0.00002279838],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942959,0.001858825,0.02893396,0.009511039,0.0001728851,0.003026232,0.002772863,0.0000814517,0.01068385],"genre_scores_gemma":[0.9669102,0.001603425,0.02101809,0.001936033,0.00004958219,0.005118184,0.0006628089,0.00008432782,0.002617319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03311158,"threshold_uncertainty_score":0.1751129,"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."}}