{"id":"W4387186982","doi":"10.30901/2658-6266-2023-1-o4","title":"On the anniversary of Academician Lyubov Vladimirovna Khotyleva","year":2023,"lang":"en","type":"article","venue":"PLANT BIOTECHNOLOGY AND BREEDING","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Quarter (Canadian coin); Commission; Management; Library science; Law; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002311828,0.0000955804,0.0001168759,0.00002281072,0.00027001,0.00001124396,0.0002063809,0.000229171,0.00003381085],"category_scores_gemma":[0.0000730462,0.00002798981,0.00003315827,0.0003955981,0.0001782628,0.00005535656,0.0001249468,0.0002661858,0.00002225459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007269779,"about_ca_system_score_gemma":0.000001640555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005835386,"about_ca_topic_score_gemma":0.00002919253,"domain_scores_codex":[0.9993476,0.00001971634,0.000112328,0.0002135726,0.00009868187,0.0002081051],"domain_scores_gemma":[0.9996139,0.0002375016,0.00007055805,0.0000415305,0.00001198583,0.00002454083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002530208,0.00001868723,0.0005680348,0.00000604619,0.00001640095,0.000004600814,0.00006013558,0.000001311689,0.9410164,0.01549663,0.004325096,0.03846136],"study_design_scores_gemma":[0.0003115249,0.001897267,0.1310556,0.0002023991,0.00005199889,0.0001107559,0.007939752,0.000509222,0.7903832,0.01545439,0.05147424,0.0006097014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960768,0.00008142921,6.952143e-7,0.03848622,0.00007971401,0.0001233577,0.00005812976,0.0001357046,0.0002667724],"genre_scores_gemma":[0.9991574,0.0002999072,0.000005616408,0.0002825522,0.0000762683,0.000003911518,0.00002351839,4.402676e-7,0.000150398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1506332,"threshold_uncertainty_score":0.2076726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646854778018122,"score_gpt":0.186599032580397,"score_spread":0.1601304848002157,"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."}}