{"id":"W2116156924","doi":"10.1186/2212-9790-12-7","title":"Negotiating risk and poverty in mangrove fishing communities of the Bangladesh Sundarbans","year":2013,"lang":"en","type":"article","venue":"MAST. Maritime studies/Maritime studies","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Universität Bremen","keywords":"Poverty; Fishing; Scale (ratio); Negotiation; Business; Poverty trap; Endowment; Development economics; Fishery; Economic growth; Economics; Natural resource economics; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004535843,0.0003905864,0.0007194354,0.00002840798,0.001251434,0.0001316417,0.0005063442,0.0001203847,0.0001002342],"category_scores_gemma":[0.0006519756,0.0001323804,0.0001581814,0.0005656997,0.0009823826,0.0004168164,0.001506628,0.0005102778,0.00001353868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008425385,"about_ca_system_score_gemma":0.000009823819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01173232,"about_ca_topic_score_gemma":0.01999641,"domain_scores_codex":[0.997601,0.0004116246,0.0006037877,0.0003782974,0.0003899476,0.0006153075],"domain_scores_gemma":[0.9970558,0.002050644,0.0002963837,0.0001529629,0.0003708815,0.00007334274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004045098,0.0001973306,0.909664,0.0001982738,0.0004848392,0.000008633164,0.009929869,0.0001112892,0.002082566,0.0003708067,0.02748397,0.04942792],"study_design_scores_gemma":[0.000304986,0.0001644788,0.8994366,0.0003074319,0.00005994968,0.000009856357,0.09422518,0.0002103284,0.0001351953,0.001684922,0.00311008,0.0003510072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975828,0.01659458,6.367913e-7,0.004402218,0.0002536594,0.0006476552,0.0001067892,0.00006009023,0.002106389],"genre_scores_gemma":[0.9892917,0.008589575,0.0001384543,0.0004465846,0.0001401614,0.0001092463,0.00001062406,0.000003480657,0.001270195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08429532,"threshold_uncertainty_score":0.9978861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959312110590773,"score_gpt":0.2292941362093658,"score_spread":0.209701015103458,"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."}}