{"id":"W3012350886","doi":"10.17816/ecogen19140","title":"N.I. Vavilov, VIR, university","year":2020,"lang":"en","type":"article","venue":"Ecological genetics","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Biological sciences; Biology; Biotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004380367,0.0001336963,0.0001189681,0.00001415366,0.00009361415,0.00001569788,0.0002491866,0.000175911,0.0002448742],"category_scores_gemma":[0.00009002091,0.0001376262,0.0001055883,0.00009241557,0.0001132713,0.000001361363,0.0001860169,0.0000744503,0.000102535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078985,"about_ca_system_score_gemma":0.00006025041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.260693e-7,"about_ca_topic_score_gemma":0.000005651648,"domain_scores_codex":[0.999107,0.0000710165,0.0001105177,0.000377245,0.0000994303,0.0002348159],"domain_scores_gemma":[0.9993525,0.00001055651,0.0000407679,0.0001977246,0.0000687817,0.0003296655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001121857,0.001315792,0.1413551,0.0001026483,0.0001806414,0.0001565931,0.000168665,0.001382452,0.6702709,0.001052267,0.1775914,0.005301706],"study_design_scores_gemma":[0.001530926,0.001489246,0.1058542,0.000002537245,0.00005604496,0.000005492372,0.0001608079,0.0002772223,0.04012677,0.0003080259,0.8497553,0.0004334437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925323,0.0008443918,0.001334004,0.001530971,0.0001159571,0.0001659136,0.00005662841,0.00003635073,0.003383499],"genre_scores_gemma":[0.9933279,0.0009121768,0.002066289,0.002449834,0.0004629661,0.00000189753,0.00009546952,0.00001316813,0.0006702612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6721638,"threshold_uncertainty_score":0.5612234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687183359389363,"score_gpt":0.2121608000994184,"score_spread":0.1952889665055247,"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."}}