{"id":"W4328022419","doi":"10.46609/ijsser.2023.v08i02.003","title":"IMMEDIATE EFFECTS OF COVID-19 PANDEMIC SITUATION ON LIVELIHOOD OF WOMEN CULTIVATORS IN THE COASTAL AREAS OF WEST BENGAL AND ODISHA","year":2023,"lang":"en","type":"article","venue":"International Journal of Social Science and Economic Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; Poverty; Agriculture; Development economics; Unemployment; Population; Pandemic; Geography; Economic growth; Quarter (Canadian coin); Socioeconomics; Coronavirus disease 2019 (COVID-19); Economics; Sociology; Medicine","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":[0.0005146558,0.0002369367,0.0002515175,0.0005580242,0.002699901,0.001579789,0.000570513,0.0006170668,0.004753291],"category_scores_gemma":[0.001048066,0.0001746995,0.0002672768,0.0009946583,0.001290805,0.0009672099,0.001731543,0.001007073,0.000431269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429797,"about_ca_system_score_gemma":0.002477338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04001052,"about_ca_topic_score_gemma":0.09814015,"domain_scores_codex":[0.9993124,0.0002125289,0.00002434817,0.00003812355,0.00006007037,0.0003526648],"domain_scores_gemma":[0.9991811,0.0001881486,0.0002210312,0.00002267574,0.0001089034,0.000278112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004299257,0.0004896796,0.7390277,0.001177162,0.00009823053,0.01403566,0.1802531,0.0002920913,0.004158763,0.00392729,0.006794556,0.0493158],"study_design_scores_gemma":[0.000009461933,0.0004037522,0.5888149,0.0003625654,0.0000503736,0.001706738,0.3929217,0.0001202426,0.000608229,0.0004790243,0.01447947,0.0000435168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919891,0.0008098941,0.00002604894,0.002352135,0.00002533808,0.0000164403,0.0001925459,0.000003164912,0.004585274],"genre_scores_gemma":[0.9973612,0.001070361,0.00003586321,0.0002823296,0.00001758209,0.00001058086,0.0000625001,0.000001538192,0.001158054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04001052,"threshold_uncertainty_score":0.07955527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027630184148986,"score_gpt":0.396355006625157,"score_spread":0.2935919882102584,"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."}}