{"id":"W2584036142","doi":"10.1111/fog.12206","title":"An investigation of the biological basis of recruitment, growth and adult survival rate variability of Pacific herring (<i>Clupea pallasi</i>) from British Columbia: a synthesis","year":2017,"lang":"en","type":"article","venue":"Fisheries Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Parks Canada","keywords":"Pacific herring; Biomass (ecology); Population; Abundance (ecology); Biology; Herring; Oceanography; Fishery; Ecology; Clupea; Demography; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000677401,0.0001199766,0.000345462,0.00001917755,0.0003156048,0.0001594148,0.0006404811,0.0001227629,0.001033435],"category_scores_gemma":[0.00075791,0.0001198591,0.0001300973,0.0002366058,0.002699404,0.0003415723,0.000506698,0.0001312935,2.676346e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001418659,"about_ca_system_score_gemma":0.00001586737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03550348,"about_ca_topic_score_gemma":0.01378838,"domain_scores_codex":[0.9982055,0.0004976904,0.0003936233,0.0003846458,0.0003045613,0.0002140166],"domain_scores_gemma":[0.9984442,0.0002856743,0.0003609208,0.000752489,0.00005474141,0.0001019662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004520523,0.00007184047,0.9916855,0.00005429601,0.00003913874,9.323838e-7,0.0002412391,2.538888e-7,0.004105572,0.00001312288,0.0002614976,0.00348145],"study_design_scores_gemma":[0.0001979097,0.0001242881,0.9923521,0.00002699975,0.00002169198,6.560517e-7,0.0002974948,0.00002992092,0.004579898,0.002001422,0.0002496018,0.0001179964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865062,0.000004800154,0.00001230394,0.0001578494,0.00006609096,0.0003580023,0.0002490514,0.00001379394,0.0126319],"genre_scores_gemma":[0.9989612,0.0002221469,0.0006947913,0.00002300059,0.00001573692,0.00003331244,0.00001247507,0.00001062946,0.00002670145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0217151,"threshold_uncertainty_score":0.9998798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203918174964446,"score_gpt":0.2303892310138221,"score_spread":0.1983500492641776,"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."}}