{"id":"W2913777333","doi":"10.1093/icesjms/fsy208","title":"Multivariate determination of Atlantic herring population health in a large marine ecosystem","year":2018,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Herring; Fishery; Stock (firearms); Population; Stock assessment; Atlantic herring; Geography; Bay; Marine ecosystem; Fish stock; Otolith; Fishing; Biology; Oceanography; Ecology; Ecosystem; Fish <Actinopterygii>; Clupea; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000826855,0.0002087012,0.0001927462,0.001121301,0.0002529472,0.0005152095,0.0001524437,0.0001295814,0.0005052123],"category_scores_gemma":[0.001150134,0.00009838278,0.0003183639,0.0008294844,0.0001994218,0.0003222134,0.0004246732,0.0001868764,0.0000654295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005600863,"about_ca_system_score_gemma":0.0003702431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03140472,"about_ca_topic_score_gemma":0.06315866,"domain_scores_codex":[0.9998067,0.00004784377,0.00002137212,0.00005129912,0.00004517522,0.00002769561],"domain_scores_gemma":[0.9991145,0.0001821888,0.0003643545,0.00008236583,0.0001531884,0.0001035249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002229324,0.00001488325,0.9966054,0.000002946523,0.0000407025,0.00001470931,0.00003967815,0.0004254701,0.0008278541,0.00001282563,0.0000245609,0.001968683],"study_design_scores_gemma":[5.527162e-7,0.00002330675,0.9984214,8.952102e-7,0.000007658378,0.00000973575,0.00007903459,0.001328257,0.00008206173,0.0000125849,0.00003271985,0.000001862031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996082,0.00001189699,0.0001560321,0.000003703712,5.845064e-7,0.000002048222,0.0001254464,0.000002891025,0.00008923631],"genre_scores_gemma":[0.999437,0.00001163429,0.0002302258,0.000001977315,0.000001321062,0.000002436609,0.000257093,5.790859e-7,0.00005764901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03140472,"threshold_uncertainty_score":0.06244385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676340790140026,"score_gpt":0.3072340818654273,"score_spread":0.2904706739640271,"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."}}