{"id":"W2106175507","doi":"10.5376/ijms.2015.05.0056","title":"Recruitment Pattern, Virtual Population Analysis (VPA) and Exploitation Status of &lt;i&gt;Coilia nasus&lt;/i&gt; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001414589,0.0001094556,0.0001932974,0.0000976557,0.000151542,0.00005949587,0.0006211007,0.00004702885,0.00005144184],"category_scores_gemma":[0.0003784708,0.00003722318,0.00007972587,0.0005714078,0.0005055487,0.0005294498,0.0002932327,0.0001318921,0.000002175741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008304603,"about_ca_system_score_gemma":0.00003372972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004929751,"about_ca_topic_score_gemma":0.01418282,"domain_scores_codex":[0.9983625,0.0001838932,0.0004195227,0.0001933048,0.0006128746,0.0002279221],"domain_scores_gemma":[0.998879,0.0002212719,0.0004014942,0.0000591488,0.0003855788,0.00005346441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002002306,0.0002026965,0.9207275,0.000002118234,0.000201507,0.00002328032,0.004718381,0.0003622385,0.007185677,0.001029936,0.0004327548,0.06491369],"study_design_scores_gemma":[0.0002621461,0.0003868106,0.9931703,0.00001150256,0.00004323097,0.00002210151,0.001267785,0.0001857312,0.0001631384,0.001970679,0.002444732,0.00007182079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938929,0.00007472189,0.0000319923,0.004955687,0.0003465884,0.0001622396,0.00002103505,0.000004975238,0.000509869],"genre_scores_gemma":[0.999132,0.0001978419,0.0001296566,0.0002939385,0.0001189359,0.00001034282,0.00003152204,6.783475e-7,0.0000851097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07244283,"threshold_uncertainty_score":0.7914346,"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."}}