{"id":"W2061643264","doi":"10.1007/s10651-014-0280-9","title":"Testing for a change in diet using fatty acid signatures","year":2014,"lang":"en","type":"article","venue":"Environmental and Ecological Statistics","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Seabird; Nonparametric statistics; Multivariate statistics; Signature (topology); Statistical hypothesis testing; Statistics; Dimension (graph theory); Compositional data; Computer science; Predation; Biology; Mathematics; Ecology","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":[0.006888186,0.0009497608,0.0007340669,0.00138161,0.0007762279,0.001576145,0.001224448,0.001607291,0.004094028],"category_scores_gemma":[0.02027892,0.0003024983,0.001509993,0.001390537,0.001469941,0.001800155,0.000901845,0.001496782,0.0005384763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005072808,"about_ca_system_score_gemma":0.0007602771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003108104,"about_ca_topic_score_gemma":0.003593485,"domain_scores_codex":[0.9939868,0.002493503,0.0004883796,0.001702664,0.0009617475,0.0003667034],"domain_scores_gemma":[0.9717023,0.02217764,0.002243724,0.001868768,0.001212639,0.0007948342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002200516,0.0003704373,0.9533045,0.00005943988,0.001501743,0.0002389728,0.0001476397,0.001251511,0.02163483,0.0004979193,0.0003991668,0.01839338],"study_design_scores_gemma":[0.000179774,0.003996399,0.9094107,0.00002042266,0.0009999267,0.00126723,0.001237478,0.05037344,0.02678453,0.00333304,0.0023409,0.00005620312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9871823,0.00008070749,0.01008217,0.000317734,0.00006867163,0.00002535426,0.0008396062,0.0001073036,0.001296092],"genre_scores_gemma":[0.9946774,0.0000192992,0.004121427,0.0001430006,0.0000227521,0.00002690262,0.0005735479,0.00003840276,0.0003772294],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.006888186,"threshold_uncertainty_score":0.03642863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224014607648176,"score_gpt":0.2560266084603839,"score_spread":0.2237864623839022,"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."}}