{"id":"W3172101025","doi":"10.3389/fpsyg.2021.664422","title":"Reducing Objectification Could Tackle Stigma in the COVID-19 Pandemic: Evidence From China","year":2021,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Psychology; Superordinate goals; Moderation; Objectification; Categorization; Pandemic; Social psychology; Stigma (botany); Disengagement theory; Social stigma; Social distance; Coronavirus disease 2019 (COVID-19); Clinical psychology; Psychiatry; Disease; Medicine; Gerontology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00487007,0.0004962604,0.0006612451,0.001125931,0.001851143,0.001132851,0.0007530313,0.0007398613,0.002771582],"category_scores_gemma":[0.008256536,0.0002783118,0.001502658,0.00132886,0.001968475,0.001022845,0.001388926,0.001002615,0.0001060322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021476,"about_ca_system_score_gemma":0.007112655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04804513,"about_ca_topic_score_gemma":0.0585808,"domain_scores_codex":[0.9983878,0.0007387357,0.0001358496,0.0001524416,0.0002343737,0.0003508941],"domain_scores_gemma":[0.9942663,0.002422086,0.00140025,0.0003906305,0.0006612729,0.0008594106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005751179,0.0008696861,0.8832648,0.001833705,0.0009003192,0.0006244733,0.02686652,0.0003143159,0.0004228142,0.001992769,0.0008959556,0.08143956],"study_design_scores_gemma":[0.0001110958,0.0004121164,0.9836829,0.0008101287,0.0005747642,0.0001153995,0.009493208,0.0006359521,0.0002290058,0.0007774854,0.003110761,0.000047038],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942315,0.002957419,0.0001300375,0.0008566409,0.00002374396,0.00005728211,0.00005502665,0.000002471791,0.001686128],"genre_scores_gemma":[0.9979331,0.001492254,0.000103122,0.0002213302,0.00001361191,0.00002528078,0.00003581971,0.000001613501,0.0001739598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04804513,"threshold_uncertainty_score":0.09553093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421431901818543,"score_gpt":0.4642382851668202,"score_spread":0.3220950949849659,"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."}}