{"id":"W2166456975","doi":"10.1614/wt-d-12-00115.1","title":"Weed Interference Impacts and Yield Recovery after Four Years of Variable Crop Inputs in No-Till Barley and Canola","year":2013,"lang":"en","type":"article","venue":"Weed Technology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; National Association of Friendship Centres; Lethbridge College; Agriculture and Agri-Food Canada","funders":"","keywords":"Canola; Agronomy; Weed; Weed control; Crop; Fertilizer; Biomass (ecology); Yield (engineering); Glyphosate; Biology; Crop yield; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004747977,0.0004525293,0.0004724213,0.0005082507,0.000742906,0.0006075962,0.0008811468,0.0004182945,0.0005086322],"category_scores_gemma":[0.0007186007,0.0002739822,0.000358776,0.0003492411,0.000360719,0.0004055336,0.0004936151,0.0005271369,0.0001565214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003611496,"about_ca_system_score_gemma":0.001132968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1147296,"about_ca_topic_score_gemma":0.2703636,"domain_scores_codex":[0.999694,0.00003718979,0.0000156942,0.00007884139,0.00007337936,0.0001008478],"domain_scores_gemma":[0.999234,0.00008816357,0.0001744414,0.00005854299,0.000223943,0.0002210346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005502439,0.003077251,0.3622969,0.0001362833,0.0004136096,0.001351447,0.001824254,0.001547663,0.6051564,0.0001197422,0.0004500115,0.01812402],"study_design_scores_gemma":[0.00002526516,0.001974571,0.9773448,0.000003313963,0.0000581772,0.0000878519,0.0005057522,0.000889795,0.01846406,0.00002633416,0.0005989177,0.00002116391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997777,0.00002412802,0.00002610168,0.000005522472,9.910998e-7,0.000005254225,0.00004845011,0.000003488628,0.0001083228],"genre_scores_gemma":[0.998364,0.00003797447,0.0001851126,0.00002431769,0.00000177125,0.00001601945,0.0004055212,0.000004979509,0.0009602077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1147296,"threshold_uncertainty_score":0.2281235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008142785396634988,"score_gpt":0.1835585193329213,"score_spread":0.1754157339362863,"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."}}