{"id":"W2110324036","doi":"10.1093/icesjms/fst081","title":"Projected impacts of climate change on marine fish and fisheries","year":2013,"lang":"en","type":"article","venue":"ICES Journal of Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":331,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Fisheries and Oceans Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Fishery; Climate change; Marine ecosystem; Fisheries science; Marine protected area; Shellfish; Ecosystem; Habitat; Marine fish; Geography; Productivity; Fisheries management; Environmental science; Fish <Actinopterygii>; Fishing; Ecology; Biology; Aquatic animal","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001504739,0.001141531,0.0005065164,0.001469613,0.0003329222,0.001214161,0.000583532,0.0008282729,0.007707465],"category_scores_gemma":[0.002050675,0.0001805731,0.001250217,0.002457576,0.000228427,0.001052776,0.0008584138,0.0006885444,0.001089756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032506,"about_ca_system_score_gemma":0.00156487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02651561,"about_ca_topic_score_gemma":0.02602397,"domain_scores_codex":[0.9995692,0.0001259399,0.00002642022,0.00005215916,0.0001554603,0.00007065235],"domain_scores_gemma":[0.9988362,0.0001678063,0.0001634089,0.00002406524,0.0006955701,0.0001129251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00095319,0.0002388142,0.2203502,0.008463178,0.00206128,0.002091184,0.0005991022,0.2623211,0.01253497,0.02277415,0.1046328,0.3629801],"study_design_scores_gemma":[0.000213902,0.001193862,0.4632432,0.005498378,0.002645982,0.001234796,0.004574049,0.1716401,0.01033984,0.05289893,0.2860124,0.0005046852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5372385,0.1743387,0.04614919,0.0336761,0.005070588,0.0003076533,0.07737274,0.00116427,0.1246822],"genre_scores_gemma":[0.9298264,0.04507052,0.007630798,0.001658961,0.0003676503,0.0002649738,0.00999757,0.00005647512,0.005126589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02651561,"threshold_uncertainty_score":0.05272251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220875799492658,"score_gpt":0.2657893352713751,"score_spread":0.2437017553221093,"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."}}