{"id":"W19635526","doi":"10.1016/j.neuroscience.2009.07.042","title":"Влияние минимальной дозы и расчетных систем удобрения на продуктивность культур в севообороте","year":2013,"lang":"en","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Loam; Vicia; Fertilizer; Agronomy; Crop rotation; Crop; Mathematics; Chemistry; Biology; Environmental science; Vicia faba; Soil water; Soil science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004981548,0.001117826,0.001176173,0.00005368174,0.001301069,0.0004635664,0.001474862,0.000863394,0.01198917],"category_scores_gemma":[0.0002504526,0.0004004554,0.000792744,0.00128551,0.0005159141,0.0007246935,0.0007268966,0.0008934801,0.008408008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500724,"about_ca_system_score_gemma":0.00002608402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684132,"about_ca_topic_score_gemma":0.001098701,"domain_scores_codex":[0.9940571,0.0003426904,0.001104302,0.001617747,0.0009224729,0.001955668],"domain_scores_gemma":[0.9971858,0.0006941784,0.0004610017,0.0003839943,0.0005131979,0.0007618902],"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":[0.0001097787,0.0008362981,0.03962781,0.00003476303,0.0003660739,0.0000787418,0.0005222193,0.000008730194,0.1844209,0.002050397,0.3957893,0.3761551],"study_design_scores_gemma":[0.0006267799,0.0008612548,0.5577162,0.00007735084,0.0001049783,0.00007828115,0.00140597,0.00002679857,0.005620615,0.002317712,0.4296006,0.001563454],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404134,0.002763798,0.00001278214,0.009963064,0.0007902694,0.001410129,0.00009406876,0.0009417116,0.04361081],"genre_scores_gemma":[0.9760246,0.0005559046,0.0005932983,0.002463681,0.002575224,0.0004845216,0.0003496072,0.00001298361,0.01694014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5180884,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00787336704978126,"score_gpt":0.1545228349769678,"score_spread":0.1466494679271865,"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."}}