{"id":"W4400166561","doi":"10.1016/j.gloplacha.2024.104504","title":"Impacts of climate change on the geographic distribution patterns of pelagic fishes in the Southern Ocean","year":2024,"lang":"en","type":"article","venue":"Global and Planetary Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Pelagic zone; Climate change; Oceanography; Distribution (mathematics); Geography; Environmental science; Climatology; Geology; Physical geography","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":[0.0003190125,0.0001329511,0.0001471535,0.001008583,0.0003067038,0.0005337806,0.0001499769,0.0002499119,0.001915407],"category_scores_gemma":[0.00103948,0.0001309008,0.0003221222,0.001326861,0.000700368,0.0004918878,0.0006982194,0.0002090534,0.0001311603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008184357,"about_ca_system_score_gemma":0.0004498782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05446815,"about_ca_topic_score_gemma":0.09562922,"domain_scores_codex":[0.9998457,0.00003950476,0.00001506633,0.00003636095,0.00002630606,0.00003700473],"domain_scores_gemma":[0.9994809,0.0000981494,0.000194412,0.00002783203,0.0001173199,0.00008137197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000707857,0.00001165252,0.9936094,0.00002108165,0.00007571476,0.00006403768,0.0003382754,0.0007888727,0.001313498,0.0001253226,0.0001193171,0.003462117],"study_design_scores_gemma":[0.000001178175,0.000005778138,0.9993279,0.000001959311,0.000005575509,0.00001335996,0.0003165687,0.000144131,0.00002421657,0.00003656722,0.0001213661,0.000001420034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988735,0.0001548632,0.00003141164,0.0001009914,0.00000307591,9.553858e-7,0.0001755575,0.000002121632,0.0006573623],"genre_scores_gemma":[0.999608,0.0001181888,0.00002333164,0.00001580406,0.000002899617,0.000001127618,0.0001085245,9.436832e-7,0.0001211312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05446815,"threshold_uncertainty_score":0.1083022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728208905295187,"score_gpt":0.2227861463561117,"score_spread":0.1955040573031598,"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."}}