{"id":"W4214842975","doi":"10.1038/s41597-022-01152-5","title":"Data on the diets of Salish Sea harbour seals from DNA metabarcoding","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of British Columbia; Vancouver Island University; Fisheries and Oceans Canada","funders":"Pacific Salmon Foundation; Washington State University","keywords":"Phoca; Harbour; Predation; Fishery; Harbor seal; Marine ecosystem; Trophic level; Biology; Apex predator; Ecosystem; Ecology; DNA barcoding; Environmental DNA; Marine conservation; Biodiversity; Geography","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":["open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.003496767,0.0001291139,0.0001864593,0.00002484764,0.0009412906,0.0001514736,0.007263845,0.00001249291,0.02186307],"category_scores_gemma":[0.0004629531,0.00009440914,0.00003374576,0.0006340884,0.0003965071,0.0004944287,0.03823066,0.000187928,0.0004553255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006986781,"about_ca_system_score_gemma":0.00002192699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003764369,"about_ca_topic_score_gemma":0.002582276,"domain_scores_codex":[0.9969422,0.0002224062,0.0002683295,0.001115323,0.001147268,0.0003045083],"domain_scores_gemma":[0.9941739,0.000238047,0.0001615725,0.005353356,0.000007440117,0.00006569033],"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":[0.00001188523,0.0001152449,0.0113697,0.000006968529,0.00004272043,0.00000606879,0.0001443382,0.00002986151,0.002192639,0.0002460485,0.9777057,0.008128784],"study_design_scores_gemma":[0.0001019827,0.00002192707,0.04947269,0.000008428003,0.00004190812,7.414372e-7,0.0003274186,0.002905651,0.0003683482,0.0003593098,0.9462587,0.0001329556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7658807,0.0008839779,0.00004670133,0.006319164,0.0027944,0.000966297,0.1718514,0.00009459883,0.05116277],"genre_scores_gemma":[0.9882812,0.00004193596,0.0005313856,0.0008264896,0.0000653121,0.00002008776,0.007919064,0.00001986192,0.002294587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2224006,"threshold_uncertainty_score":0.9981073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501895099524716,"score_gpt":0.2973172623125636,"score_spread":0.147127752360092,"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."}}