{"id":"W3199710406","doi":"10.22004/ag.econ.399647","title":"Status and growth in fish export from India","year":2015,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fish <Actinopterygii>; Fishery; Geography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001304617,0.0001506537,0.00008235584,0.00135049,0.0003679428,0.00102729,0.0002872846,0.0001334891,0.004135545],"category_scores_gemma":[0.000635753,0.000100816,0.0002306707,0.00225844,0.0002892047,0.0006143668,0.0005442892,0.0003310314,0.0007275864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007229687,"about_ca_system_score_gemma":0.0008032049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05079329,"about_ca_topic_score_gemma":0.04934901,"domain_scores_codex":[0.9998624,0.000008165678,0.00001516643,0.00002196733,0.0000331378,0.00005916264],"domain_scores_gemma":[0.9994372,0.00006581935,0.0001974182,0.00002418162,0.0001848728,0.00009052957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001204618,0.00003452846,0.9749681,0.0001350537,0.0000346121,0.001246735,0.002159418,0.0002771163,0.001149314,0.001339729,0.002722514,0.01581247],"study_design_scores_gemma":[0.000001253705,0.00002485623,0.9919519,0.0000284219,0.00001217475,0.0004497802,0.002658955,0.0001027534,0.0001995582,0.00007228395,0.004490315,0.000007773124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834186,0.0004198514,0.00003899086,0.000448144,0.00001226274,0.000004526867,0.002575937,0.00001845302,0.01306324],"genre_scores_gemma":[0.9910817,0.00089778,0.00006124818,0.00006428194,0.0000132451,0.000003733513,0.002002344,0.000008321245,0.005867432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05079329,"threshold_uncertainty_score":0.1009953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0481663127627369,"score_gpt":0.2172301117814511,"score_spread":0.1690637990187142,"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."}}