{"id":"W2800290913","doi":"10.1016/j.scitotenv.2018.04.328","title":"Impacts and responses to environmental change in coastal livelihoods of south-west Bangladesh","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"H2020 European Research Council; Department for International Development; Department for International Development, UK Government; International Development Research Centre","keywords":"Livelihood; Sustainability; Climate change; Biodiversity; Aquaculture; Threatened species; Fishery; Geography; Ecosystem services; Environmental change; Agriculture; Environmental resource management; Business; Ecosystem; Natural resource economics; Ecology; Environmental science; Biology; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[],"category_scores_codex":[0.0007599993,0.000146668,0.0001735777,0.0000487888,0.0002419813,0.00001188297,0.0005246597,0.00002366016,0.000407236],"category_scores_gemma":[0.00005599053,0.00008399761,0.00004587327,0.000268987,0.002909498,0.0001709733,0.00267716,0.0000769345,0.0001188883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271094,"about_ca_system_score_gemma":0.000009619307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009430547,"about_ca_topic_score_gemma":0.0001298581,"domain_scores_codex":[0.9984804,0.00006973556,0.0002488936,0.0003090764,0.0005567568,0.000335071],"domain_scores_gemma":[0.9992965,0.0000457976,0.0001353251,0.0004204738,0.000002051191,0.000099864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000266164,0.0003175496,0.3578843,0.00002285425,0.00001820523,0.000002533135,0.02644273,0.0003344971,0.6061169,0.00007787322,0.00009741668,0.008419016],"study_design_scores_gemma":[0.0001767228,0.0003373117,0.9763506,0.00003103228,0.00001016363,0.00001100178,0.0007732937,0.0003098999,0.02175846,0.0000575048,0.00007500206,0.0001090153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979054,0.00005622167,0.000002311542,0.0008053858,0.0001114686,0.0004641196,0.00003288221,0.000004248313,0.0006179243],"genre_scores_gemma":[0.999352,0.0000342701,0.0001043257,0.00004566119,0.00003663941,0.00002382505,2.310208e-7,0.00000703395,0.0003959822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6184663,"threshold_uncertainty_score":0.999804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641588998016374,"score_gpt":0.2255401004438184,"score_spread":0.2091242104636547,"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."}}