{"id":"W4362702209","doi":"10.2458/jpe.5374","title":"The political ecology of shrimp aquaculture in Tamil Nadu: A case study from Mayiladuthurai District","year":2023,"lang":"en","type":"article","venue":"Journal of Political Ecology","topic":"Social and Economic Development in India","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Multiple Sclerosis Scientific Research Foundation","keywords":"Commodification; Tamil; Caste; Politics; Shrimp; Political ecology; Shrimp farming; Capitalism; Sociology; Ecology; Political science; Aquaculture; Fishery; Geography; Economy; Economics; Biology; Fish <Actinopterygii>; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003341151,0.0002051823,0.0002029101,0.0008348778,0.006004122,0.001765812,0.0007206653,0.0007871002,0.002516809],"category_scores_gemma":[0.000650482,0.0002180811,0.0001737516,0.001368247,0.002738404,0.0005645797,0.002007121,0.0008270169,0.0001652946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003211794,"about_ca_system_score_gemma":0.001847925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02590563,"about_ca_topic_score_gemma":0.1028709,"domain_scores_codex":[0.9995729,0.0002131553,0.00001010262,0.00002184841,0.0000354767,0.0001464103],"domain_scores_gemma":[0.9994553,0.0002638517,0.00008261338,0.00002182502,0.00003431148,0.0001421754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001469688,0.0004698447,0.1564843,0.0004646488,0.00003439187,0.1198372,0.6715069,0.001159592,0.005325002,0.01632036,0.002724811,0.0255259],"study_design_scores_gemma":[0.000008080078,0.0001145178,0.06818911,0.0001059248,0.00001523345,0.004378992,0.9116883,0.0004032358,0.0005435703,0.0004842399,0.01405308,0.00001571833],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960217,0.00008378515,0.00006418403,0.0003311486,0.000003880957,0.00001437832,0.0000175488,0.000001414864,0.003462012],"genre_scores_gemma":[0.9984351,0.0001978295,0.0001217135,0.00008980392,0.000004023243,0.00001326294,0.00001199577,0.000001770248,0.001124551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02590563,"threshold_uncertainty_score":0.05150968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282332585859671,"score_gpt":0.3429849099246036,"score_spread":0.3101615840660069,"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."}}