{"id":"W3040832271","doi":"10.3389/fsufs.2020.00092","title":"Impact of Diverse Annual Forage Mixtures on Weed Control in a Semiarid Environment","year":2020,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Western Grains Research Foundation; Ministry of Agriculture - Saskatchewan","keywords":"Agronomy; Weed; Forage; Crop; Weed control; Biomass (ecology); Biology; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004214485,0.0002076856,0.000531087,0.00004741265,0.00005703346,0.00005215066,0.0003252423,0.0001448959,0.00003364052],"category_scores_gemma":[0.00009541357,0.00009247546,0.0001611927,0.0002480345,0.00004614424,0.0002973614,0.00007470772,0.0002103558,0.000007364108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469776,"about_ca_system_score_gemma":0.00002775916,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007381984,"about_ca_topic_score_gemma":0.00003853339,"domain_scores_codex":[0.9982588,0.0002097002,0.0004855541,0.0003599729,0.0002099884,0.0004759524],"domain_scores_gemma":[0.9993693,0.0001079376,0.0002734896,0.00008536569,0.0000372587,0.0001266903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.005823873,0.00127116,0.7178593,0.000811907,0.0007560842,0.000447817,0.00974938,0.04792763,0.03108687,0.001139641,0.1750103,0.008116111],"study_design_scores_gemma":[0.009521803,0.03045377,0.3018003,0.0006935919,0.0001102238,0.00002637185,0.3841246,0.04234642,0.0004790519,0.0002313627,0.228085,0.002127462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960648,0.001052645,0.0001864887,0.0003699365,0.0002600002,0.001175948,0.0001657605,0.00002231375,0.0007020563],"genre_scores_gemma":[0.9991515,0.00001526024,0.0000106871,0.00006757372,0.0001724084,0.00007701527,0.00001558248,0.000002500562,0.000487504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4160589,"threshold_uncertainty_score":0.9992279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114004342923514,"score_gpt":0.2100470041919462,"score_spread":0.1986465698995948,"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."}}