{"id":"W2973818170","doi":"10.1002/0471142301.nsa04es27","title":"Animal Identification","year":2004,"lang":"en","type":"article","venue":"Current Protocols in Neuroscience","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Identification (biology); Computational biology; Biology; Computer science; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002948421,0.00009359549,0.00006191991,0.0000834798,0.0001008799,0.00009570103,0.0004094867,0.00004192812,0.000005078747],"category_scores_gemma":[0.0002405445,0.00009778517,0.00003567571,0.0003472845,0.0001508027,0.00001667917,0.00006986634,0.00009207667,0.0000488221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002076429,"about_ca_system_score_gemma":0.0001044269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001258999,"about_ca_topic_score_gemma":0.000003584546,"domain_scores_codex":[0.9987963,0.0000411354,0.0002957037,0.0004863765,0.0001940731,0.0001864289],"domain_scores_gemma":[0.9993272,0.000002591817,0.0001150261,0.0004300333,0.00007117868,0.00005392803],"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":[0.0000165105,0.0001905931,0.001784683,0.00001866927,2.326205e-7,3.125373e-7,0.00002488309,0.0001123647,0.9900715,0.006322598,0.0001771973,0.001280463],"study_design_scores_gemma":[0.0007273453,0.0001587171,0.1332333,0.00004846924,0.000001464778,0.0000096957,0.00001499229,0.00009079462,0.7353315,0.0003948108,0.1297681,0.0002208228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9345267,0.0001128302,0.02699554,0.0008608944,0.001428948,0.03505331,0.00002143939,0.00008290022,0.0009174527],"genre_scores_gemma":[0.9842778,0.00001721128,0.00009765293,0.00009195759,0.00006350322,0.01528668,0.00001775375,0.000009109706,0.0001382904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.25474,"threshold_uncertainty_score":0.3987564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06876009004882254,"score_gpt":0.3933514867050671,"score_spread":0.3245913966562445,"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."}}