{"id":"W3188882950","doi":"10.1080/01609513.2021.1957222","title":"India’s covid catastrophe","year":2021,"lang":"en","type":"article","venue":"Social Work With Groups","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Publication; Coronavirus disease 2019 (COVID-19); State (computer science); Pandemic; Political science; Special Interest Group; History; Government (linguistics); Media studies; Sociology; Law; Library science; Medicine; Linguistics; Computer science","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":[0.002187278,0.0005612982,0.0003142629,0.001224518,0.007235586,0.006108414,0.0008695347,0.003379163,0.008701433],"category_scores_gemma":[0.007408377,0.0002737219,0.0007068035,0.00173608,0.005172281,0.002637583,0.004815932,0.007302177,0.00133714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006479331,"about_ca_system_score_gemma":0.007475722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03848733,"about_ca_topic_score_gemma":0.05314782,"domain_scores_codex":[0.9979381,0.000735882,0.0000833864,0.0001594369,0.0004100995,0.0006730389],"domain_scores_gemma":[0.9962407,0.001445218,0.0003176328,0.0002825371,0.000547792,0.001165982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007287702,0.00003470777,0.004707116,0.0003753858,0.00004165917,0.002036395,0.02225354,0.0001134522,0.0001988291,0.1139999,0.8331919,0.02297436],"study_design_scores_gemma":[0.00000711628,0.00003741676,0.009112778,0.0003156361,0.0000136264,0.001006051,0.01961149,0.00005490412,0.0001137536,0.007889014,0.9618073,0.00003087612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02785551,0.02383315,0.0004221479,0.8245641,0.02201604,0.00002735822,0.0006013755,0.00008586873,0.1005944],"genre_scores_gemma":[0.5996212,0.03328348,0.001171882,0.258753,0.02017956,0.0001007033,0.0007321975,0.0001243829,0.08603358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03848733,"threshold_uncertainty_score":0.07652658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1478095215409729,"score_gpt":0.3850206640886882,"score_spread":0.2372111425477154,"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."}}