{"id":"W7009281563","doi":"","title":"Disparities, Desperation, and Divisiveness: Coping WithCOVID-19 in India","year":2020,"lang":"en","type":"article","venue":"HELIN Digital Commons","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coping (psychology); Pandemic; Mental health; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Depression (economics); Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008779734,0.0001383007,0.0002044704,0.00006897411,0.0001058393,0.0001230351,0.0001226287,0.00007444905,0.00009493911],"category_scores_gemma":[0.000119415,0.000144208,0.00002937604,0.000223091,0.00008556157,0.0002422229,0.0001187744,0.0001904097,0.0001126769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132211,"about_ca_system_score_gemma":0.0001930855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007273661,"about_ca_topic_score_gemma":0.000500266,"domain_scores_codex":[0.9989626,0.00006184077,0.0002772515,0.0003043041,0.0001106916,0.000283352],"domain_scores_gemma":[0.9992074,0.000293772,0.00004750958,0.0001673174,0.00001669435,0.0002673584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001408409,0.0001376275,0.9739859,0.0001773142,0.00001419246,0.00006833281,0.003476538,0.000008445993,0.00002554634,0.01262593,0.004547696,0.004791676],"study_design_scores_gemma":[0.002814334,0.0004745535,0.8571803,0.0001363484,0.00001236129,0.00002966983,0.001786275,0.0001421418,0.00005816445,0.00139944,0.1354765,0.0004898838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745604,0.002381777,0.001215683,0.009284016,0.0002584664,0.0005880154,0.0002759396,0.0001465765,0.01128911],"genre_scores_gemma":[0.988937,0.00004702354,0.00002285415,0.01061859,0.00007899307,0.00004520088,0.00008850036,0.00001887567,0.0001429344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1309288,"threshold_uncertainty_score":0.5880633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07486164220870342,"score_gpt":0.3704119413943772,"score_spread":0.2955502991856738,"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."}}