{"id":"W4389484254","doi":"10.1111/faf.12807","title":"Trait‐based analyses reveal global patterns in diverse diets of albacore tuna (<i>Thunnus alalunga</i>)","year":2023,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Oceanic and Atmospheric Administration; Marine Environmental Observation Prediction and Response Network","keywords":"Predation; Biology; Ecology; Pelagic zone; Habitat; Thunnus; Trophic level; Tuna; Demersal zone; Albacore; Trait; Food web; Foraging; Fishery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001728647,0.0001558865,0.00025307,0.00005121568,0.00008413726,0.00004480298,0.0002270512,0.00008560514,0.003062409],"category_scores_gemma":[0.00007695042,0.0001429725,0.00006938698,0.0006786447,0.0003237991,0.0002496385,0.0003589717,0.0001261945,0.00001916471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005043647,"about_ca_system_score_gemma":0.00001687481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005155367,"about_ca_topic_score_gemma":0.006477439,"domain_scores_codex":[0.9986216,0.00006216319,0.0002482634,0.0003260086,0.000352077,0.0003899184],"domain_scores_gemma":[0.999525,0.00006192211,0.0000552239,0.0002209852,0.00001116072,0.0001257365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007377953,0.00004571788,0.9625452,0.00004951669,0.00001077422,0.00006708761,0.0002657212,0.00002272204,0.0001934807,0.000005034148,0.01877575,0.01794518],"study_design_scores_gemma":[0.0004465862,0.0001363877,0.9811178,0.00001190037,0.000009674103,0.000002347047,0.0005194921,0.0005994671,0.0001406955,0.0001506514,0.01670801,0.0001570015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482373,0.000004276912,0.0000202267,0.000987286,0.00006108755,0.0001522645,0.0002908317,0.00004492942,0.05020181],"genre_scores_gemma":[0.9979997,0.00005758873,0.000111811,0.0004163511,0.00002800701,0.00002339612,0.00009626229,0.00001081015,0.001256028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04976245,"threshold_uncertainty_score":0.9978489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04822826201175148,"score_gpt":0.3016426411446178,"score_spread":0.2534143791328664,"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."}}