{"id":"W3091825473","doi":"10.1017/s0021911820002314","title":"“Responding to an Epidemic Requires a Compassionate State”: How Has the Indian State Been Doing in the Time of COVID-19?","year":2020,"lang":"en","type":"article","venue":"The Journal of Asian Studies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Livelihood; Government (linguistics); Populism; State (computer science); Development economics; Coronavirus disease 2019 (COVID-19); Democracy; Authoritarianism; Compassion; Economic growth; Political science; Notice; Political economy; Pandemic; Sociology; Economics; History; Politics; Law; Medicine; Agriculture","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":[0.003697306,0.0001961812,0.0002019075,0.0007002561,0.004991109,0.009170558,0.0006513539,0.003106473,0.003268521],"category_scores_gemma":[0.007498094,0.000159892,0.000291259,0.001619011,0.0105569,0.005844001,0.002050027,0.00601405,0.000426229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006039538,"about_ca_system_score_gemma":0.007725962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02991839,"about_ca_topic_score_gemma":0.02714892,"domain_scores_codex":[0.9979888,0.001191162,0.00002911284,0.00006548797,0.0001734837,0.0005518777],"domain_scores_gemma":[0.9961932,0.001512297,0.0005432173,0.0001357155,0.0004831268,0.001132531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003087876,0.0002748792,0.03223489,0.0003798955,0.00006794374,0.001496123,0.0408675,0.001630189,0.0004529939,0.6737908,0.1794304,0.06906562],"study_design_scores_gemma":[0.00007449378,0.000361126,0.0750096,0.001455307,0.00007324583,0.0008813795,0.1818135,0.002814971,0.0007519262,0.2561464,0.4803552,0.0002629378],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1027194,0.007188434,0.0006315424,0.8516349,0.001248874,0.00002024778,0.00009431737,0.00002131332,0.03644093],"genre_scores_gemma":[0.930356,0.007574148,0.0004360686,0.05482681,0.001159978,0.00001704781,0.0000412833,0.00001699426,0.005571647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02991839,"threshold_uncertainty_score":0.05948853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1485933847119708,"score_gpt":0.3403551727665021,"score_spread":0.1917617880545313,"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."}}