{"id":"W3020500933","doi":"10.1111/ddi.13032","title":"Projecting changes in the distribution and maximum catch potential of warm water fishes under climate change scenarios in the Yellow Sea","year":2020,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Fundamental Research Funds for the Central Universities","keywords":"Environmental science; Climate change; Representative Concentration Pathways; Abundance (ecology); Relative species abundance; Global warming; Species distribution; Range (aeronautics); Latitude; Marine ecosystem; Fishing; Climate model; Ecology; Climatology; Ecosystem; Oceanography; Geography; Biology; Habitat; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002914284,0.00006241622,0.00007229489,0.000009999484,0.0005473316,0.00003318965,0.0001565825,0.0000391676,0.0001284359],"category_scores_gemma":[0.00002219423,0.00003743154,0.00001828196,0.0001936026,0.0002124743,0.0001347231,0.0008960293,0.0001435946,0.000003433161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002983844,"about_ca_system_score_gemma":0.000002089004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00348204,"about_ca_topic_score_gemma":0.001883214,"domain_scores_codex":[0.9993079,0.00008838577,0.0000690509,0.0001465873,0.0001753491,0.0002127321],"domain_scores_gemma":[0.999837,0.0000300608,0.00001781153,0.00007501578,0.000006605675,0.00003343654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003760312,0.00006863713,0.9874822,0.00002800345,0.000003319119,0.00001372775,0.01034662,0.000006468774,0.00008758552,0.0001222678,0.0002000403,0.001603467],"study_design_scores_gemma":[0.000406735,0.00009977087,0.9809652,0.000006148037,0.00002059869,0.000007043651,0.01352143,0.001453854,0.0001731818,0.0002687075,0.002972143,0.0001052228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813109,0.000006113271,0.000158332,0.01718547,0.00001101713,0.0002784882,0.0002875743,0.000005221579,0.0007568502],"genre_scores_gemma":[0.9993663,0.0001138513,0.00000551279,0.0002607739,0.00001775749,0.00001114945,0.0002193758,0.000001199967,0.000004082174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01805536,"threshold_uncertainty_score":0.5263827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04272608442841658,"score_gpt":0.2337215767238787,"score_spread":0.1909954922954622,"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."}}