{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004388447,0.0001622776,0.00008911602,0.001171217,0.0006612445,0.0006612278,0.0002990778,0.0002085515,0.01644932],"category_scores_gemma":[0.001001068,0.0001171243,0.0002357235,0.0009611937,0.0003299816,0.001148826,0.0003346947,0.0003399251,0.0005851876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789126,"about_ca_system_score_gemma":0.001331543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04682029,"about_ca_topic_score_gemma":0.07623596,"domain_scores_codex":[0.9998455,0.00001624432,0.000008975989,0.00003118705,0.00004692907,0.00005117836],"domain_scores_gemma":[0.9994276,0.0001281754,0.0001091975,0.00002044364,0.0001720361,0.0001423945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002855663,0.0004527806,0.8823808,0.0002854301,0.00004884763,0.001644434,0.01665582,0.0007666639,0.005137614,0.01882055,0.005577376,0.06794421],"study_design_scores_gemma":[0.000006329367,0.0001585886,0.9739264,0.0000250176,0.00001483386,0.0001446314,0.01038245,0.001108479,0.0004672238,0.0008459495,0.01290325,0.00001677505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976818,0.0002478154,0.0001851775,0.0003920753,0.00001075794,0.00005263058,0.0005834798,0.000003819727,0.02170634],"genre_scores_gemma":[0.9853335,0.0003334045,0.0002492319,0.00007246777,0.00001154084,0.00002608372,0.0006221705,0.000002054851,0.01334956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04682029,"threshold_uncertainty_score":0.09309554,"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."}}