{"id":"W2979993145","doi":"10.18699/vj19.552","title":"The database of genetic resources in the VIR winter rye collection as a means of classification of genetic diversity, analysis of the collection history and effective study and preservation","year":2019,"lang":"en","type":"article","venue":"Vavilov Journal of Genetics and Breeding","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic resources; Genetic diversity; Biology; Crop; Germplasm; Documentation; Agriculture; Forage; China; Gene pool; Geography; Agronomy; Agricultural science; Agroforestry; Biotechnology; Population; Ecology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002176854,0.001068392,0.001586875,0.01062141,0.0009682738,0.002262051,0.001556234,0.000768547,0.02706825],"category_scores_gemma":[0.004789989,0.0005522912,0.0006736956,0.01418311,0.0003001158,0.001438812,0.00173984,0.001351353,0.03168586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007021697,"about_ca_system_score_gemma":0.002859571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00686068,"about_ca_topic_score_gemma":0.008376416,"domain_scores_codex":[0.9985315,0.000170376,0.0004515105,0.0004014983,0.0003251781,0.0001199221],"domain_scores_gemma":[0.9964592,0.0005553018,0.0006088057,0.0009586554,0.0008897118,0.0005284067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00210056,0.0005933697,0.04299406,0.00635467,0.0004401016,0.0009978648,0.001692119,0.001597254,0.04730233,0.009957056,0.6725267,0.213444],"study_design_scores_gemma":[0.0001784783,0.0001020683,0.05819244,0.0005517539,0.0001758501,0.0004891702,0.0002920289,0.0008299153,0.005131843,0.002003233,0.9319469,0.0001062588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009496527,0.0007234202,0.007087741,0.0001021208,0.00007321595,0.0002975836,0.9669043,0.004219339,0.01109565],"genre_scores_gemma":[0.003464034,0.0002522589,0.008401908,0.00003743895,0.00001259806,0.0002420572,0.9856666,0.0004191747,0.001503938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02706825,"threshold_uncertainty_score":0.09055233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609968161622562,"score_gpt":0.214599734292878,"score_spread":0.1885000526766524,"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."}}