{"id":"W7117552175","doi":"10.2139/ssrn.5987997","title":"Rainfall Shocks and Consumption Risk in Rural India: The Role of Irrigation, Credit, and Employment","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Livelihood; Consumption (sociology); Welfare; Psychological resilience; Agriculture; Asset (computer security); Irrigation; Panel data; Unemployment; Quantile regression","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":[0.0003678279,0.0001900237,0.000277542,0.0006215365,0.0003528957,0.001577886,0.000531083,0.0006511804,0.00301634],"category_scores_gemma":[0.002293017,0.0002245842,0.0003905502,0.001919388,0.00101808,0.0006626845,0.001048573,0.0008913896,0.0002405766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008336103,"about_ca_system_score_gemma":0.0008239198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07378592,"about_ca_topic_score_gemma":0.0567514,"domain_scores_codex":[0.9997357,0.00008115322,0.000012658,0.00003335181,0.00001815116,0.0001190795],"domain_scores_gemma":[0.9971342,0.001542954,0.0006775372,0.0001230926,0.0001498809,0.0003723387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000469495,0.0001002284,0.9837126,0.00003215442,0.0001238234,0.0006402509,0.001150312,0.006083454,0.0004869174,0.002335009,0.0005556732,0.004310075],"study_design_scores_gemma":[0.00001456669,0.00007043357,0.9870349,0.0000121056,0.00007227804,0.0001516829,0.002971811,0.006667242,0.0001421533,0.002412352,0.0004321036,0.00001845662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983645,0.0001909755,0.00007680779,0.0005578257,0.000003072713,0.00000176178,0.0001775457,0.000005531664,0.0006219673],"genre_scores_gemma":[0.9995645,0.0001027257,0.00001481772,0.00001449389,0.000004705871,7.928943e-7,0.00005595237,0.000001309211,0.0002408181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07378592,"threshold_uncertainty_score":0.1467128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005341947600053318,"score_gpt":0.2201717220068949,"score_spread":0.2148297744068416,"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."}}