{"id":"W4200297812","doi":"10.1093/ornithology/ukab077","title":"Current methods and future directions in avian diet analysis","year":2021,"lang":"en","type":"article","venue":"The Auk","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Western University","funders":"","keywords":"Identification (biology); Tracing; Inference; Computer science; Data science; Biology; Ecology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004177565,0.00005385657,0.0001272292,0.00004151051,0.00009648386,0.00001379958,0.0001107754,0.00002576657,0.002788547],"category_scores_gemma":[0.00003583289,0.00003790284,0.00006158215,0.001108258,0.00008782478,0.00004171193,0.0001811125,0.0001167745,0.00007528798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005350591,"about_ca_system_score_gemma":0.000004111447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000169272,"about_ca_topic_score_gemma":0.006052859,"domain_scores_codex":[0.9992021,0.0003193414,0.0001032999,0.0001810857,0.00006958198,0.0001246202],"domain_scores_gemma":[0.9995887,0.00008426568,0.00002839145,0.0002687727,0.000003555409,0.00002633252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000949881,0.0001196513,0.7365378,0.000002286234,0.0002177652,0.00001374979,0.002042881,0.0007055338,0.0009692492,0.0003832963,0.0006492825,0.258349],"study_design_scores_gemma":[0.00004731202,0.000009040492,0.8567845,6.029113e-7,0.0002157339,0.00000283587,0.0002110595,0.001486999,0.000174088,0.0009134135,0.1400993,0.00005509882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795813,0.002076047,0.001270465,0.004895078,0.0002833467,0.0000821723,0.000002887093,0.00001952039,0.01178918],"genre_scores_gemma":[0.9915617,0.001719973,0.00544774,0.000321637,0.00009498675,0.00002308609,0.000006535181,0.000005916982,0.0008184102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2582939,"threshold_uncertainty_score":0.998123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263085666562916,"score_gpt":0.3222483846144117,"score_spread":0.3096175279487825,"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."}}