{"id":"W4323032600","doi":"10.1177/09754253221151103","title":"Nexus Between Vulnerability, Livelihoods and Non-Migration Strategies Among the Fishermen Communities of Sundarbans, Bangladesh","year":2023,"lang":"en","type":"article","venue":"Environment and Urbanization Asia","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; St. Mary's University","funders":"","keywords":"Livelihood; Vulnerability (computing); Business; Natural resource; Natural resource economics; Asset (computer security); Geography; Environmental resource management; Environmental planning; Economic growth; Economics; Agriculture; Political science","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":[0.0003987375,0.0001857556,0.000184388,0.0007494029,0.001778602,0.00075518,0.0002226268,0.0002837497,0.002108457],"category_scores_gemma":[0.001188591,0.0001189208,0.00009900194,0.000742917,0.0009749584,0.0005836032,0.001073174,0.0002563286,0.0001221627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180548,"about_ca_system_score_gemma":0.001332111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03732083,"about_ca_topic_score_gemma":0.1089821,"domain_scores_codex":[0.9997146,0.00009494016,0.00002374819,0.00003128323,0.00003943239,0.00009598841],"domain_scores_gemma":[0.9995127,0.0001519892,0.0001694372,0.00001830347,0.0000500991,0.00009751732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005615217,0.00007419555,0.8695278,0.000107172,0.0000295987,0.001762536,0.1058821,0.0001041713,0.001520313,0.001641841,0.0002611589,0.01903303],"study_design_scores_gemma":[0.00000305439,0.00007945189,0.686061,0.00009498234,0.00001340822,0.0006193331,0.3101804,0.0001654908,0.0001650968,0.0004942128,0.002106062,0.00001763015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990776,0.0000555837,0.00001449776,0.0000745463,5.143491e-7,0.000003834086,0.00001280476,2.364164e-7,0.0007603951],"genre_scores_gemma":[0.9994926,0.0001208775,0.0000378342,0.00001219936,4.625192e-7,0.000006342678,0.00001558047,2.304377e-7,0.0003138105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03732083,"threshold_uncertainty_score":0.07420719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05287535991458728,"score_gpt":0.2748802771087672,"score_spread":0.2220049171941799,"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."}}