{"id":"W2777315740","doi":"10.21603/2542-2448-2017-2-15-18","title":"COMPARATIVE ANALYSIS OF BARLEY SPECIES OF THE WORLD COLLECTION OF THE RESEARCH INSTITUTE OF PLANT INDUSTRY IN THE CONDITIONS OF EASTERN SIBERIA","year":2017,"lang":"en","type":"article","venue":"Bulletin of Kemerovo State University Series Biological Engineering and Earth Sciences","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cultivar; Biology; Productivity; Yield (engineering); Horticulture; Agronomy; Botany","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":[0.0002950592,0.0003204907,0.0003263608,0.003514602,0.0009412335,0.0005844518,0.0002028563,0.0001677413,0.001739082],"category_scores_gemma":[0.0003821713,0.0001150626,0.0003057136,0.002941137,0.000277912,0.0001963507,0.0004641066,0.0001193671,0.0004718749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105715,"about_ca_system_score_gemma":0.0002779114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007027297,"about_ca_topic_score_gemma":0.0138514,"domain_scores_codex":[0.9996233,0.00004936709,0.00005071518,0.0001339452,0.00007709497,0.00006544819],"domain_scores_gemma":[0.9996297,0.00003697913,0.00009893053,0.00004740668,0.000137073,0.00004995277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009528534,0.00007351289,0.8456153,0.0002200658,0.0004619745,0.0009306323,0.002822536,0.0002041955,0.1148309,0.0001593374,0.000391252,0.03333751],"study_design_scores_gemma":[0.000001524987,0.00004081464,0.9969657,0.00000568678,0.00002930715,0.00024004,0.0004221297,0.00002515253,0.001190396,0.00001184071,0.001064646,0.000002712355],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972138,0.0005304978,0.0001856419,0.000007120496,0.00000921169,0.00000667419,0.001350301,0.000005413673,0.0006915103],"genre_scores_gemma":[0.9928156,0.0004352092,0.0006312919,0.00001686165,0.00001223116,0.00002448996,0.00508905,0.00001502433,0.0009601755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007027297,"threshold_uncertainty_score":0.01397282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06401288583605932,"score_gpt":0.2389233668644193,"score_spread":0.17491048102836,"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."}}