{"id":"W4388637323","doi":"10.32417/1997-4868-2023-23-10-2-10","title":"Evaluation of technological indicators of collection varieties of oats in the Tyumen region","year":2023,"lang":"en","type":"article","venue":"Agrarian Bulletin of the","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Grain yield; Geography; Agronomy; Biology; Physics","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":[0.0005982869,0.0003747386,0.0005117535,0.00127924,0.0005905731,0.0009098913,0.0002771895,0.0001916989,0.0004692878],"category_scores_gemma":[0.0008029416,0.0001404938,0.0004670083,0.001425022,0.0003950013,0.0004344511,0.0004946567,0.0003202546,0.000130278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302001,"about_ca_system_score_gemma":0.0004992652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008743255,"about_ca_topic_score_gemma":0.01395008,"domain_scores_codex":[0.9994879,0.00008087262,0.00004172672,0.0002111964,0.0001171537,0.00006120839],"domain_scores_gemma":[0.9987593,0.0002069432,0.0004410469,0.0001326661,0.000271596,0.0001885571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001415786,0.0002955141,0.6965237,0.0001762849,0.0002448024,0.00060876,0.001637195,0.0004818114,0.2852036,0.00008799929,0.00004976292,0.0132748],"study_design_scores_gemma":[0.000003796263,0.0002995084,0.9947418,0.000002873197,0.00002860408,0.00005702887,0.0004440043,0.00009120744,0.004078049,0.000006502243,0.0002411911,0.000005504421],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996492,0.00006811022,0.00008256866,0.00000141529,9.176365e-7,0.000006914333,0.00009689807,0.000002047154,0.00009192657],"genre_scores_gemma":[0.9985883,0.00008576515,0.0004509201,0.000002591245,0.000002111502,0.00001797939,0.000471667,0.000004211608,0.0003764151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008743255,"threshold_uncertainty_score":0.01738471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437666484113196,"score_gpt":0.2219703834777272,"score_spread":0.1875937186365952,"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."}}