{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004924346,0.0004901264,0.0004324593,0.0006572836,0.002133429,0.002507082,0.0004595143,0.001074528,0.07281451],"category_scores_gemma":[0.001306667,0.0002172023,0.0002024795,0.0004684196,0.0006932826,0.001639201,0.001879803,0.002794314,0.04956973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928044,"about_ca_system_score_gemma":0.001966924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706214,"about_ca_topic_score_gemma":0.002255026,"domain_scores_codex":[0.9995197,0.00006996935,0.00002255536,0.0001956908,0.0001304187,0.00006169383],"domain_scores_gemma":[0.9995609,0.00006310165,0.00003169321,0.00002731032,0.00009262656,0.0002243504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008453152,0.00005190798,0.001050688,0.0001980676,0.000004701386,0.0002316536,0.0004625632,0.000168721,0.000664719,0.05327953,0.7620491,0.1817538],"study_design_scores_gemma":[0.000002582211,0.00001124994,0.0006117386,0.00006303081,0.000001243562,0.0001678161,0.00008945415,0.0000506237,0.0001754468,0.002719265,0.996103,0.000004460048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.011021,0.1272536,0.004749167,0.1258022,0.05945986,0.0001267088,0.002005367,0.00139635,0.6681858],"genre_scores_gemma":[0.07401957,0.02768986,0.001975721,0.008161804,0.00526923,0.00008567081,0.0006783608,0.0003906116,0.8817293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07281451,"threshold_uncertainty_score":0.2435888,"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."}}