{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002655972,0.002212131,0.002366374,0.00555649,0.003211741,0.001811276,0.00301455,0.002780323,0.07509539],"category_scores_gemma":[0.003535822,0.001102238,0.001273581,0.002097445,0.001483915,0.001991438,0.003022498,0.003491153,0.06918804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008862097,"about_ca_system_score_gemma":0.001575339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009996564,"about_ca_topic_score_gemma":0.003881037,"domain_scores_codex":[0.9966527,0.0003792075,0.000427906,0.001319921,0.0008366767,0.0003835774],"domain_scores_gemma":[0.9953401,0.0005602794,0.0003480705,0.001803657,0.001207468,0.0007405684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004071437,0.001447113,0.007090328,0.003113979,0.0001312225,0.004063328,0.001990667,0.0009215099,0.3018758,0.02311161,0.1564338,0.4957491],"study_design_scores_gemma":[0.0002003015,0.001347028,0.01381607,0.001488367,0.0001694299,0.004904963,0.0005082713,0.0008329697,0.0580144,0.00482776,0.9137315,0.0001589406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0708611,0.009454452,0.5275589,0.002012092,0.004272932,0.04607983,0.06540826,0.01767774,0.2566747],"genre_scores_gemma":[0.071815,0.01094504,0.495874,0.004117519,0.0007835957,0.05355293,0.07504006,0.004145059,0.2837269],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07509539,"threshold_uncertainty_score":0.2512191,"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."}}