{"id":"W2983783675","doi":"10.31677/2072-6724-2019-52-3-40-47","title":"RELATION BETWEEN THE CROP YIELD AND PRODUCTIVITY ELEMENTS OF LENTIL","year":2019,"lang":"en","type":"article","venue":"Bulletin of NSAU (Novosibirsk State Agrarian University)","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crop; Productivity; Geography; Yield (engineering); Biology; Germination; Agronomy; Agriculture; Horticulture; Ecology","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":[0.0001458965,0.00008471258,0.0001460235,0.00001377366,0.0001088509,0.00000668348,0.0001444455,0.00003395151,0.0003091708],"category_scores_gemma":[0.00001043455,0.00003689188,0.00004713754,0.0001274335,0.0001579963,0.00002674961,0.00016345,0.00006102311,0.00002267736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000119685,"about_ca_system_score_gemma":0.000002915616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004290743,"about_ca_topic_score_gemma":0.0000515538,"domain_scores_codex":[0.9993642,0.00004511747,0.0001439805,0.0001942187,0.0001292067,0.0001232528],"domain_scores_gemma":[0.9996416,0.00009148258,0.000151091,0.00006602435,0.00002128565,0.00002849448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006180091,0.00007924091,0.9406801,0.00002913216,0.00007536355,0.000001374631,0.0002497302,0.00001597847,0.04252726,0.0002628712,0.001109781,0.01490729],"study_design_scores_gemma":[0.0001613211,0.0002087331,0.9359771,0.00001611475,0.00002673648,4.649269e-7,0.0007059824,6.294501e-7,0.0020953,0.0001334797,0.06059735,0.00007678461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993367,0.00005857204,0.000002376035,0.001695478,0.0000410694,0.0002129641,0.00004968185,0.000007912203,0.004564901],"genre_scores_gemma":[0.9953983,0.0001235187,0.0000452038,0.00001222741,0.00001197273,2.066835e-7,0.000009730918,6.090967e-7,0.004398259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05948757,"threshold_uncertainty_score":0.3385203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408609368417379,"score_gpt":0.1590747042681376,"score_spread":0.1449886105839638,"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."}}