{"id":"W2106175507","doi":"10.5376/ijms.2015.05.0056","title":"Recruitment Pattern, Virtual Population Analysis (VPA) and Exploitation Status of <i>Coilia nasus</i> Exploited in the Poyang Lake through the Yangtze River Waterway, Jiangxi Province, China","year":2015,"lang":"en","type":"article","venue":"International Journal of Marine Science","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yangtze river; China; Fishery; Geography; Population; Environmental science; Biology; Archaeology; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004003913,0.0002665,0.0002149433,0.001677575,0.0005163683,0.0002373163,0.0003331832,0.0001496655,0.0009342484],"category_scores_gemma":[0.0005371268,0.000147225,0.000312217,0.001002531,0.0004410359,0.0002849827,0.0004853827,0.0001322597,0.0001229096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007278919,"about_ca_system_score_gemma":0.0004885012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02208921,"about_ca_topic_score_gemma":0.04934572,"domain_scores_codex":[0.9997831,0.00002825196,0.00001880472,0.00009168969,0.00003954457,0.00003859991],"domain_scores_gemma":[0.9996576,0.00004992144,0.0001232584,0.00002062912,0.00006519775,0.00008336137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005688045,0.00002302566,0.9887705,0.00002439874,0.00003390966,0.0001162624,0.0005056426,0.0006610143,0.002822274,0.00009185939,0.0001490452,0.006745311],"study_design_scores_gemma":[0.000002845617,0.00003578599,0.9972677,0.000002982187,0.00001024963,0.00006663424,0.0002558559,0.002000999,0.0001566018,0.00003534674,0.0001586243,0.000006521464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994512,0.0000227214,0.0001467362,0.000006851621,8.56066e-7,0.000005579931,0.0001397296,0.000003966485,0.0002224636],"genre_scores_gemma":[0.999078,0.00001477,0.0002420527,0.000005237155,0.000001236918,0.00001998563,0.000342442,0.000001394953,0.000294823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02208921,"threshold_uncertainty_score":0.04392129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04018535168902589,"score_gpt":0.2740112066822706,"score_spread":0.2338258549932447,"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."}}