{"id":"W2177233909","doi":"10.5539/ass.v11n28p109","title":"Shrimp Cultivation and Coastal Livelihood: A focus on Bangladesh Coastal Vulnerability","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Livelihood; Shrimp; Vulnerability (computing); Fishing; Shrimp farming; Fishery; Focus group; Agriculture; Work (physics); Geography; Natural disaster; Socioeconomics; Business; Environmental resource management; Fish <Actinopterygii>; Aquaculture; Biology; Marketing; Sociology; Economics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001739769,0.0001205412,0.000130304,0.00009625552,0.001446753,0.0003612961,0.0004448219,0.00006934769,0.00003116616],"category_scores_gemma":[0.0005247407,0.0001097793,0.00003771227,0.0009530893,0.002809575,0.0008451884,0.0001957847,0.0001325174,0.00004764572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184157,"about_ca_system_score_gemma":0.0004011995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001288502,"about_ca_topic_score_gemma":0.003571955,"domain_scores_codex":[0.9976067,0.0001708812,0.0001584709,0.0004373792,0.001130357,0.0004961952],"domain_scores_gemma":[0.9992573,0.00004557946,0.00008845879,0.0001216781,0.0001723906,0.0003145621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005989365,0.0001620361,0.01164661,0.000007545644,0.000006332818,0.000009286791,0.09887712,5.465304e-7,0.0004122038,0.2569257,0.002329067,0.6295636],"study_design_scores_gemma":[0.001799006,0.0007135948,0.5400829,0.00005916535,0.00003475244,0.000002758718,0.3135321,0.00007777742,0.0007701025,0.07494806,0.06696592,0.001013829],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2431298,0.000008774499,0.0001865677,0.006129554,0.0003369252,0.0003081276,0.000009215432,0.00009072461,0.7498003],"genre_scores_gemma":[0.9978173,0.00000352084,0.0001314207,0.0001598296,0.000384873,0.00001116782,0.000001926397,0.000005505325,0.001484441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7546875,"threshold_uncertainty_score":0.9999042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983853049795507,"score_gpt":0.3188814211698893,"score_spread":0.2890428906719342,"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."}}