{"id":"W2106698340","doi":"10.2134/agronj2009.0336","title":"A Sustainable Management Package to Improve Winter Wheat Production and Competition with Weeds","year":2010,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Centers for Disease Control and Prevention","keywords":"Agronomy; Cultivar; Weed; Crop; Competition (biology); Yield (engineering); Weed control; Biomass (ecology); Biology; Seeding; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001884145,0.00007448905,0.00007220463,0.00001631414,0.0003086045,0.0001627996,0.00008414735,0.00002574571,0.0002347151],"category_scores_gemma":[0.00000407565,0.00002707639,0.0000225815,0.0001036458,0.00002940217,0.0001919582,0.0000358675,0.0001564852,0.00002115356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001774622,"about_ca_system_score_gemma":0.000004064017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001427029,"about_ca_topic_score_gemma":0.000749668,"domain_scores_codex":[0.9994588,0.00001541913,0.0001000452,0.0001553142,0.0000798031,0.0001906128],"domain_scores_gemma":[0.999703,0.00001096306,0.00004433953,0.00004245358,0.00008214955,0.0001171115],"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":[0.0000945348,0.0001180379,0.005299628,0.00001331585,0.00005731309,0.00001634765,0.0002419288,0.000005094076,0.8041621,0.02124575,0.003160397,0.1655855],"study_design_scores_gemma":[0.0004592658,0.0006679897,0.7773748,0.00004580175,0.00006740841,0.0002841332,0.003974556,0.000006243526,0.003948682,0.007784162,0.20506,0.000326872],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808517,0.00001956559,0.0002315328,0.0146798,0.00005920581,0.0003008452,0.000001184809,0.00001830838,0.00383783],"genre_scores_gemma":[0.9946459,0.000004201854,0.0007745992,0.0001903849,0.0004441327,0.00004761993,0.000003460077,7.623506e-7,0.003888952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8002135,"threshold_uncertainty_score":0.2569966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004276200049509068,"score_gpt":0.1868577296395149,"score_spread":0.1825815295900058,"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."}}