{"id":"W2077501324","doi":"10.1111/j.1471-0366.2004.00081.x","title":"Explaining the Diversity of Southeast Asian Shrimp Aquaculture","year":2004,"lang":"en","type":"article","venue":"Journal of Agrarian Change","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Shrimp; Shrimp farming; Agriculture; Aquaculture; Diversity (politics); Politics; Geography; Fishery; Economy; Development economics; Economics; Political science; Fish <Actinopterygii>; Biology","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":[0.0002652362,0.00009624015,0.0001813668,0.00001527601,0.0002869844,0.00002842184,0.0003336421,0.00008454011,0.0001294731],"category_scores_gemma":[0.00003098906,0.00002662341,0.0002013368,0.0002467748,0.0000660988,0.0002042937,0.00008329879,0.0002061461,0.000009320066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002044809,"about_ca_system_score_gemma":0.000006611417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111697,"about_ca_topic_score_gemma":0.0002623806,"domain_scores_codex":[0.9992015,0.00005268117,0.0002269407,0.00008098109,0.0002916536,0.0001462604],"domain_scores_gemma":[0.9993757,0.00003302941,0.0003240783,0.0000332335,0.0001344386,0.00009949831],"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":[0.001744629,0.003389041,0.1001402,0.0001745237,0.0008876227,0.0005748754,0.17865,0.0000215584,0.4163918,0.04527311,0.04124532,0.2115073],"study_design_scores_gemma":[0.002504461,0.002000866,0.8458178,0.0004115917,0.0001633518,0.0004981818,0.07689526,0.000001717998,0.008203614,0.008355594,0.05467255,0.0004750079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625926,0.0004584971,0.00001575395,0.03439049,0.000179101,0.0001560585,0.0000778118,0.0000143145,0.00211538],"genre_scores_gemma":[0.9985973,0.0000543908,0.00008989822,0.0004842101,0.0007347874,9.65224e-7,0.000008298563,4.505456e-7,0.00002973671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7456776,"threshold_uncertainty_score":0.2207281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05179858080990841,"score_gpt":0.2281682392843525,"score_spread":0.1763696584744441,"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."}}