{"id":"W2804899327","doi":"10.2981/wlb.2003.033","title":"Indices to estimate fat depots in American marten <i>Martes americana</i>","year":2003,"lang":"en","type":"article","venue":"Wildlife Biology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Marten; Animal science; Biology; Ecology; Habitat","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":[0.000126326,0.0002161871,0.0002714349,0.00008515473,0.00005349404,0.00001169261,0.0002585118,0.0001217247,0.00002210511],"category_scores_gemma":[0.000173847,0.0002014037,0.00005574511,0.000241557,0.0002654732,0.000002215464,0.00007804963,0.0001023937,0.00004009517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001339865,"about_ca_system_score_gemma":0.00006911298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714307,"about_ca_topic_score_gemma":0.0004334865,"domain_scores_codex":[0.9985079,0.0001763144,0.0002604446,0.0005125396,0.00006586344,0.0004769635],"domain_scores_gemma":[0.9993224,0.00003169637,0.00009792586,0.0003437462,0.00002976427,0.0001745246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001070794,0.0001744856,0.8863987,0.00001243829,0.00007805537,0.000003776983,0.0002028911,0.0007870698,0.07360463,0.008103365,0.006563847,0.0239636],"study_design_scores_gemma":[0.000813617,0.002156125,0.6811093,0.00001640231,0.00002233346,0.00003730842,0.0002621412,0.000006864349,0.01089753,0.002406182,0.3016359,0.0006363244],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912787,0.0003878887,0.004088053,0.000453442,0.000243634,0.0002239332,0.00001731118,0.00001967398,0.003287361],"genre_scores_gemma":[0.9643362,0.00002988565,0.0313497,0.003788531,0.0001346771,0.00005701017,0.00005045984,0.0000240929,0.0002294672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.295072,"threshold_uncertainty_score":0.8213007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007983070637471737,"score_gpt":0.2775968534082671,"score_spread":0.2696137827707953,"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."}}