{"id":"W2474883755","doi":"10.22067/jpp.v27i1.22165","title":"تاثیر تلفیق تراکم بوته، آرایش کاشت وعلف کش نیکوسولفورون درکنترل علفهای هرز ذرت سیلویی سینگل کراس ۷۰۴","year":2013,"lang":"fa","type":"article","venue":"مطالعات حفاظت گیاهان","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sowing; Weed; Agronomy; Weed control; Mathematics; Dry matter; Population; Diversity index; Biology; Horticulture; Species richness","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":[0.0008048582,0.0002916124,0.0002857628,0.0007058366,0.0006270873,0.001245413,0.0002425622,0.0005551079,0.02016012],"category_scores_gemma":[0.0007058696,0.0003087134,0.0002371231,0.0007132106,0.0007396783,0.0005306833,0.000579736,0.001127082,0.006429296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005958632,"about_ca_system_score_gemma":0.001051582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400797,"about_ca_topic_score_gemma":0.003688624,"domain_scores_codex":[0.9994036,0.00005628978,0.00006546451,0.00008976639,0.0003110199,0.00007391183],"domain_scores_gemma":[0.9993788,0.00008601767,0.0001794447,0.00003846648,0.0002700809,0.00004713402],"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":[0.0008519195,0.0001494942,0.002861516,0.0007216535,0.00002544963,0.00150098,0.001167332,0.0004254474,0.8351039,0.005632985,0.001911711,0.1496475],"study_design_scores_gemma":[0.000168824,0.001387579,0.08439181,0.0005224454,0.0001001686,0.003498803,0.004781446,0.002033831,0.5662829,0.007744188,0.3289119,0.0001761173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7724861,0.01084905,0.07997911,0.001908472,0.001116257,0.0006838822,0.001263853,0.0005989141,0.1311144],"genre_scores_gemma":[0.7693088,0.01072934,0.09676976,0.001034968,0.000316841,0.001099797,0.001758348,0.0004855068,0.1184966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02016012,"threshold_uncertainty_score":0.0674423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144348295044856,"score_gpt":0.2031750943467798,"score_spread":0.1887402648422942,"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."}}