{"id":"W1967105396","doi":"10.1139/f08-126","title":"Copepod production drives recruitment in a marine fish","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; National Science Foundation","keywords":"Copepod; Scomber; Fishery; Zooplankton; Biology; Predation; Plankton; Mackerel; Forage fish; Pelagic zone; Ichthyoplankton; Biomass (ecology); Fish <Actinopterygii>; Ecology; Crustacean","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003763773,0.0001050072,0.0001192132,0.0002715429,0.00016639,0.0003762822,0.0001592984,0.0001746356,0.0007321209],"category_scores_gemma":[0.001604512,0.0002250077,0.0001767608,0.0001841719,0.0002229618,0.0001784482,0.0001978076,0.0001934969,0.0002089315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280249,"about_ca_system_score_gemma":0.00024132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005577354,"about_ca_topic_score_gemma":0.01218245,"domain_scores_codex":[0.9999164,0.00001971454,0.00000737459,0.00003185287,0.0000111575,0.00001341106],"domain_scores_gemma":[0.9990726,0.0003234927,0.0003238044,0.00005409452,0.00008618424,0.0001397186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003440064,0.0000101867,0.9929913,0.000006200733,0.00002317353,0.00002526308,0.00003156524,0.0005598724,0.004822036,0.0000264044,0.00005375762,0.0014158],"study_design_scores_gemma":[0.000001313833,0.00001297132,0.997961,0.000001455157,0.00000466023,0.00002161517,0.00002196817,0.001708083,0.0001827242,0.00003720503,0.00004536897,0.000001619497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995738,0.00003046199,0.0001201451,0.00001308734,0.000001446292,0.000001727195,0.00005717837,0.000003171129,0.0001989536],"genre_scores_gemma":[0.9997509,0.00001966391,0.00008426175,0.00000688306,0.000001835062,0.000001708688,0.00006345076,0.000001334121,0.00007005679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005577354,"threshold_uncertainty_score":0.0110898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05483654135035353,"score_gpt":0.2543194788554585,"score_spread":0.1994829375051049,"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."}}