{"id":"W1451814975","doi":"","title":"The preliminary studies on market structure of Chinese prawn.","year":2009,"lang":"en","type":"article","venue":"Guizhou nongye kexue","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prawn; Competition (biology); Domestic market; Consumption (sociology); Production (economics); Business; Order (exchange); Market share; International market; Market competition; International trade; Agriculture; Agricultural economics; Economics; Commerce; Market economy; Fishery; Geography; Marketing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001971531,0.0002145794,0.0002315819,0.00001760404,0.0003395864,0.00001831153,0.0003411719,0.00005222281,0.0003085462],"category_scores_gemma":[0.0003130806,0.0001080483,0.00009453548,0.0002204853,0.0002777766,0.00008093351,0.0002479377,0.0001544756,0.00004481424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004191791,"about_ca_system_score_gemma":0.000005764082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001566499,"about_ca_topic_score_gemma":0.0001307171,"domain_scores_codex":[0.9987938,0.00006450709,0.0002704452,0.0002710699,0.0003495176,0.0002506129],"domain_scores_gemma":[0.9992362,0.000170524,0.0001394423,0.0003866367,0.00002106956,0.00004615688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001613279,0.0006817235,0.2650143,0.0001420478,0.0006367953,0.00007849972,0.01113696,0.001385643,0.03334888,0.003950307,0.5728796,0.109132],"study_design_scores_gemma":[0.0004300724,0.0009293539,0.9527631,0.00004214259,0.00003610562,0.00001356964,0.0005705153,0.00005912561,0.003438182,0.0117068,0.02971653,0.0002944761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8827607,0.000746472,0.000003399733,0.002429171,0.0003237732,0.0003391112,0.00001508195,0.00004620217,0.1133361],"genre_scores_gemma":[0.9925094,0.0001851367,0.000222274,0.0004393495,0.0001314683,0.000005583878,0.000002340461,0.000008336902,0.006496161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6877488,"threshold_uncertainty_score":0.4406081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008500839083606371,"score_gpt":0.26930468480399,"score_spread":0.2608038457203836,"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."}}