{"id":"W2126014992","doi":"10.1139/a10-004","title":"Seasonal reproductive patterns and recommended sampling times for sentinel fish species used in environmental effects monitoring programs in Canada","year":2010,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Gonadosomatic Index; Sentinel species; Biology; Sampling (signal processing); Ecology; Reproductive biology; Population; Fishery; Fecundity; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004903639,0.0002784977,0.0003984769,0.0000351146,0.0001429723,0.00001874803,0.0001758592,0.00006088455,0.0003526366],"category_scores_gemma":[0.00006118351,0.0002694141,0.00005764278,0.00006801828,0.0001372713,0.0002118208,0.0003659084,0.0002969045,0.00002386095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006296959,"about_ca_system_score_gemma":0.000007751843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01299033,"about_ca_topic_score_gemma":0.4218885,"domain_scores_codex":[0.998175,0.00009264069,0.0003907652,0.0006846341,0.0001939495,0.000463016],"domain_scores_gemma":[0.9993664,0.0001396305,0.0001442196,0.0002662654,1.635162e-7,0.00008331515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001448554,0.0001468789,0.9765821,0.0000360183,0.00001286854,0.000009194019,0.000274521,0.000004492077,0.00255044,0.000001587391,0.0008056682,0.01956171],"study_design_scores_gemma":[0.0006479741,0.00003937598,0.9604709,0.00005045381,0.0000187107,0.000003469672,0.0005025253,0.00004964133,0.0006599695,0.00004381366,0.03725111,0.0002621136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970496,0.0001730023,0.00001398163,0.0005410197,0.0002975674,0.001635146,0.00001595795,0.000009722128,0.0002640313],"genre_scores_gemma":[0.9957363,0.001866455,0.0009232131,0.0002829127,0.00008104441,0.000584691,0.00005679402,0.00002255462,0.0004460615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4088982,"threshold_uncertainty_score":0.9999758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02720544987053237,"score_gpt":0.2345753225732615,"score_spread":0.2073698727027292,"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."}}