{"id":"W7044109287","doi":"","title":"What is the Impact of COVID 19 on Marginalized Communities in Particular?","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Facilitator; Equity (law); Inclusion (mineral); Intersectionality; Citizen journalism; Diversity (politics); Participatory action research; Racism; Pandemic","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":[0.008500923,0.0006471318,0.001371195,0.002717424,0.01858919,0.01825987,0.003105444,0.005083289,0.01379735],"category_scores_gemma":[0.02559025,0.0005910362,0.001057089,0.002402429,0.02300482,0.01838917,0.01591081,0.006427917,0.001104759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009454421,"about_ca_system_score_gemma":0.02378799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07278758,"about_ca_topic_score_gemma":0.1178632,"domain_scores_codex":[0.9877027,0.005647311,0.0002445042,0.0006894443,0.001187557,0.004528436],"domain_scores_gemma":[0.9781832,0.005022124,0.002237668,0.0004068721,0.00310224,0.01104788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000103141,0.0001670467,0.03931123,0.003090913,0.0001463246,0.005090736,0.6640101,0.0001430991,0.0003579059,0.05961083,0.09594239,0.1320263],"study_design_scores_gemma":[0.000006166678,0.00004277311,0.008309842,0.002558528,0.00003119473,0.001159022,0.9014273,0.00005334426,0.00007455553,0.01459296,0.0717025,0.00004196253],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2144315,0.0525245,0.001422345,0.6372396,0.004435341,0.0001639976,0.0003852072,0.00007968023,0.08931779],"genre_scores_gemma":[0.9191408,0.03025276,0.0007549854,0.04226079,0.001463104,0.0002295047,0.0001208489,0.00007809391,0.005699228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07278758,"threshold_uncertainty_score":0.1447278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169778367551454,"score_gpt":0.2406108950130083,"score_spread":0.2236330582578629,"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."}}