{"id":"W2800109974","doi":"10.1016/j.dsr2.2018.04.008","title":"Temporal changes in size-at-age: Impacts and implications for reproductive biology, egg density and management of Pacific herring in British Columbia","year":2018,"lang":"en","type":"article","venue":"Deep Sea Research Part II Topical Studies in Oceanography","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Herring; Stock assessment; Spawn (biology); Pacific herring; Biology; Climate change; Fishery; Biomass (ecology); Ecology; Oceanography; Fishing; Fish <Actinopterygii>; Clupea","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001158557,0.00008460583,0.0002560898,0.0001076453,0.0003275424,0.00004039163,0.000170591,0.00007130262,0.00007598267],"category_scores_gemma":[0.0003796916,0.000103021,0.00002674095,0.0009222658,0.002913236,0.00008240254,0.001806587,0.0002172364,5.036831e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123908,"about_ca_system_score_gemma":0.000004554309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004623856,"about_ca_topic_score_gemma":0.4369754,"domain_scores_codex":[0.9982603,0.000174725,0.0002415762,0.0005747728,0.0001934864,0.0005552061],"domain_scores_gemma":[0.9993165,0.0002462131,0.00003208938,0.000259848,0.00005103063,0.00009431815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005332667,0.0001378874,0.9795088,0.0001286536,0.00002834163,0.00001623449,0.0007872275,1.253681e-7,0.00003792076,0.00005166166,0.0009240947,0.01832579],"study_design_scores_gemma":[0.0005165369,0.0003853673,0.9845835,0.00004891625,0.000002368688,0.000003302263,0.00209711,0.00001669031,0.00002265888,0.003504274,0.008720012,0.00009927936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995275,0.000392396,0.000002128116,0.001180044,0.00002777799,0.0009210602,0.00001789089,0.000007481142,0.00217621],"genre_scores_gemma":[0.9925536,0.006336613,0.000585316,0.00002382338,0.00004029425,0.0001931017,0.000006904188,0.000007033243,0.0002533005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4323516,"threshold_uncertainty_score":0.9998003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07917446983256125,"score_gpt":0.3719029718202332,"score_spread":0.292728501987672,"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."}}