{"id":"W2016428283","doi":"10.1139/f01-093","title":"Developing Baltic cod recruitment models. II. Incorporation of environmental variability and species interaction","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gadus; Abiotic component; Predation; Hydrography; Biology; Stock (firearms); Ecology; Biotic component; Fishery; Baltic sea; Geography; Oceanography; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094728,0.0007593312,0.0005756508,0.0004878785,0.0004236202,0.0007813203,0.001263499,0.0007476823,0.001216124],"category_scores_gemma":[0.002246468,0.000698993,0.0007446408,0.0004227204,0.0002640344,0.0007009399,0.0008372946,0.0003903781,0.0003662034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008075052,"about_ca_system_score_gemma":0.001394138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02748147,"about_ca_topic_score_gemma":0.03730423,"domain_scores_codex":[0.9998535,0.00005270993,0.00001271746,0.0000379228,0.00001752565,0.00002561506],"domain_scores_gemma":[0.9995279,0.0002614347,0.00008513452,0.00001936361,0.0000692451,0.00003701107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001486583,0.00002095101,0.006324321,0.00002117838,0.00004790017,0.00004626992,0.00005342356,0.9845862,0.0003782065,0.001287222,0.0001994742,0.00701982],"study_design_scores_gemma":[0.000006495712,0.00001045615,0.0004915012,0.000004630691,0.000009650867,0.000007980077,0.00001141812,0.9980861,0.00006538338,0.001021063,0.0002818547,0.000003440788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4864601,0.0005687035,0.5012633,0.0004920803,0.00009024372,0.0002987292,0.001018765,0.0006224168,0.009185822],"genre_scores_gemma":[0.8817466,0.0004407019,0.1076257,0.0001464171,0.00004636845,0.0006892174,0.0009281892,0.0001651295,0.008211621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02748147,"threshold_uncertainty_score":0.05464303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08155450287611825,"score_gpt":0.2614683612464099,"score_spread":0.1799138583702917,"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."}}