{"id":"W4280505848","doi":"10.1038/s41598-022-11660-4","title":"Validation of quantitative fatty acid signature analysis for estimating the diet composition of free-ranging killer whales","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; SeaWorld and Busch Gardens Conservation Fund; Canada Foundation for Innovation; Pinngortitaleriffik; University of Connecticut","keywords":"Composition (language); Ranging; Signature (topology); Biology; Computer science; Mathematics; Art; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001728021,0.0005746446,0.0002750375,0.0005034284,0.0003140988,0.0004209703,0.0006810322,0.0005055146,0.0004891959],"category_scores_gemma":[0.004330468,0.0002509838,0.0006358827,0.0003127804,0.0003437149,0.0006209873,0.0005334591,0.0003814962,0.0001867551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983146,"about_ca_system_score_gemma":0.000582727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958618,"about_ca_topic_score_gemma":0.01904998,"domain_scores_codex":[0.9996722,0.0001017433,0.00002084172,0.0001080652,0.00006244212,0.00003471406],"domain_scores_gemma":[0.9988359,0.0006082107,0.0001133047,0.0001689985,0.0002223688,0.00005110962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004743471,0.0002317381,0.2854811,0.0001775526,0.0004359792,0.0002769769,0.0003161509,0.6453401,0.02828711,0.001301115,0.0008104693,0.03686729],"study_design_scores_gemma":[0.00005925749,0.0001861588,0.06452023,0.00003412276,0.00004976593,0.000065748,0.0001287777,0.9259444,0.007532394,0.0006166204,0.0008285902,0.00003400114],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9902937,0.00006275083,0.008651881,0.00003165977,0.00001016129,0.00001088931,0.0003158732,0.0001989155,0.0004241733],"genre_scores_gemma":[0.9857723,0.00003583329,0.01287598,0.00003307054,0.000004065858,0.00002252588,0.001035329,0.00004808248,0.0001727678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01958618,"threshold_uncertainty_score":0.03894436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02564016903983428,"score_gpt":0.2742194087935707,"score_spread":0.2485792397537364,"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."}}