{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002842223,0.0001214672,0.0001167886,0.00001544357,0.00005574539,0.00002565281,0.0001704177,0.00005285462,0.002818864],"category_scores_gemma":[0.000006878966,0.00006596214,0.00005143012,0.0002512843,0.0001135377,0.00007941737,0.00006590729,0.00009041517,0.00009243767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004043558,"about_ca_system_score_gemma":0.000001487811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006495185,"about_ca_topic_score_gemma":0.006798381,"domain_scores_codex":[0.9991491,0.0000716084,0.0001534004,0.0001635244,0.0002304833,0.0002318105],"domain_scores_gemma":[0.9996933,0.00006745882,0.00004973341,0.0001480625,0.000003195754,0.00003821342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003766354,0.00006071305,0.9916599,0.0001008618,0.00001015356,0.0000194402,0.001733357,6.305889e-7,0.00001374699,0.001404668,0.0009364175,0.004022389],"study_design_scores_gemma":[0.00009912347,0.0001201062,0.9926817,0.00008977394,0.00001916239,0.00001727426,0.002902908,0.00007647845,0.00001066273,0.0001587084,0.003744469,0.00007961072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817992,0.001009002,5.199253e-7,0.002172213,0.00008484626,0.000266625,0.01323301,0.00001510773,0.001419451],"genre_scores_gemma":[0.9963769,0.002024633,2.434831e-7,0.000518007,0.00004846057,0.00001044854,0.001016151,0.000002917508,0.000002238775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01457768,"threshold_uncertainty_score":0.9980927,"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."}}