{"id":"W3092143966","doi":"10.1038/s41597-020-00676-y","title":"A salmon diet database for the North Pacific Ocean","year":2020,"lang":"en","type":"article","venue":"Scientific Data","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Hakai Institute; University of British Columbia; G. Unger Vetlesen Foundation; Ambrose Monell Foundation","keywords":"Pacific ocean; Oceanography; Fishery; Geography; Biology; Geology","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":[0.0007452921,0.0000884798,0.0000770932,0.00001263782,0.0005360114,0.0003607883,0.002504871,0.00001637643,0.005227324],"category_scores_gemma":[0.0003641454,0.00005813129,0.0000278329,0.0005690437,0.0005408685,0.0005259381,0.003703613,0.0001197159,0.0006455811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001667422,"about_ca_system_score_gemma":0.00002342935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001250422,"about_ca_topic_score_gemma":0.0003828307,"domain_scores_codex":[0.9982789,0.00002818261,0.0001356446,0.0007431847,0.0004821814,0.0003319189],"domain_scores_gemma":[0.9977515,0.00009875662,0.00003399936,0.001935332,0.00001019055,0.000170254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005594394,0.00002671011,0.02933054,0.00001311273,0.000005945391,0.000003666286,0.0001921765,0.000007441384,0.000162533,0.00002147985,0.9503835,0.01979694],"study_design_scores_gemma":[0.000116076,0.00004583007,0.002824014,8.31312e-7,0.000008144276,6.091426e-7,0.0002113446,0.02782573,0.00002627471,0.00002480589,0.9688326,0.00008377248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1531313,0.0003413812,0.03869835,0.1212412,0.007677335,0.01149125,0.1564411,0.0008528625,0.5101253],"genre_scores_gemma":[0.8977739,0.0001139215,0.005756268,0.002287761,0.0007425214,0.00008350114,0.04286483,0.00008543678,0.05029187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7446426,"threshold_uncertainty_score":0.9956821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0831538589209788,"score_gpt":0.2842668539586509,"score_spread":0.201112995037672,"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."}}