{"id":"W2139585483","doi":"10.3354/meps07237","title":"Effects of temperature on global patterns of tuna and billfish richness","year":2008,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Oceanic and Atmospheric Administration; Alfred P. Sloan Foundation","keywords":"Species richness; Tuna; Pelagic zone; Biology; Range (aeronautics); Ecology; Latitude; Macroecology; Oceanography; Fishery; Geography; Fish <Actinopterygii>","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":[0.00007926523,0.0001327511,0.0002647022,0.00002769103,0.00008932812,0.00000757802,0.0001916283,0.0001145847,0.001119412],"category_scores_gemma":[0.00006176256,0.0001072323,0.0000332323,0.0001869677,0.0008685143,0.0001266418,0.0007960712,0.0001209799,0.000005995082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003499016,"about_ca_system_score_gemma":0.00001346064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000195511,"about_ca_topic_score_gemma":0.0002270405,"domain_scores_codex":[0.9990513,0.0000716148,0.000180228,0.0002472963,0.0002009125,0.0002486191],"domain_scores_gemma":[0.999581,0.00006579144,0.00007865493,0.0001881518,0.00001965263,0.00006669851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001701079,0.0001911372,0.9910398,0.0001526542,0.00002104986,0.0000876968,0.00008241538,0.000001573489,0.000157246,0.0001417863,0.0003478797,0.007606658],"study_design_scores_gemma":[0.000411954,0.0008812886,0.9928499,0.000005412997,0.000007490841,0.00006902049,0.00002309825,0.000004933894,0.003068832,0.0001635539,0.002417283,0.00009720204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905946,0.00001300717,1.81242e-7,0.0002859244,0.00007907979,0.0002850084,0.00001010816,0.00001887913,0.008713271],"genre_scores_gemma":[0.9980664,0.0001545764,0.0002282645,0.00005680684,0.00001860612,0.00005231985,0.00000921302,0.000008055621,0.001405734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007509456,"threshold_uncertainty_score":0.9997937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005019905623992058,"score_gpt":0.2179566116162892,"score_spread":0.2129367059922971,"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."}}