{"id":"W1976982992","doi":"10.1111/j.1095-8649.2011.02925.x","title":"Utilization of stomach content DNA to determine diet diversity in piscivorous fishes","year":2011,"lang":"en","type":"article","venue":"Journal of Fish Biology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Ministry of Natural Resources and Forestry; University of Windsor","funders":"","keywords":"Biology; Predation; Zoology; Stomach; Ingestion; DNA; Fish <Actinopterygii>; Cloning (programming); Digestion (alchemy); DNA sequencing; Fishery; Ecology; Animal science; Genetics; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002745555,0.00006343729,0.0001481548,0.0001167997,0.00003216603,0.000003575511,0.0002159154,0.00009709784,0.00004426466],"category_scores_gemma":[0.0001772511,0.0000564924,0.00006336805,0.00008993927,0.00006318355,0.000005557555,0.00009872323,0.00005165059,0.000002697771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001139567,"about_ca_system_score_gemma":0.00002847396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003229683,"about_ca_topic_score_gemma":0.0001614097,"domain_scores_codex":[0.9992775,0.00007575734,0.0003756372,0.0001173876,0.00005864319,0.00009501511],"domain_scores_gemma":[0.9992197,0.00001033885,0.0003005131,0.0001459323,0.000273511,0.00005007289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008018561,0.0003222093,0.1609023,0.00001953291,0.00006451902,0.000003870687,0.0007118928,0.000003882396,0.8269675,0.0003197542,0.006002672,0.003880009],"study_design_scores_gemma":[0.000721371,0.00156113,0.3964316,0.00001877879,0.00001969693,0.00002915352,0.000271359,0.00001009394,0.591529,0.0001073357,0.009185941,0.0001146143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976894,0.00006199844,0.001209839,0.0002840243,0.0002825093,0.00007613043,0.00002045302,0.000001792855,0.0003738026],"genre_scores_gemma":[0.9990526,0.00009455167,0.0003408318,0.0003148125,0.00004618173,0.00000159001,0.00002193761,0.000004270806,0.000123228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2355292,"threshold_uncertainty_score":0.2303693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1752102261846235,"score_gpt":0.3049639957352513,"score_spread":0.1297537695506278,"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."}}