{"id":"W3094021233","doi":"10.3390/agronomy10101611","title":"Simulation Models on the Ecology and Management of Arable Weeds: Structure, Quantitative Insights, and Applications","year":2020,"lang":"en","type":"article","venue":"Agronomy","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council","keywords":"Arable land; Weed; Ecology; Weed control; Field (mathematics); Environmental resource management; Computer science; Biology; Environmental science; Agriculture; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001761727,0.0007766966,0.001000422,0.0008566447,0.0006088087,0.001576392,0.001008586,0.00131168,0.002310661],"category_scores_gemma":[0.006270443,0.0004971864,0.0008131969,0.00140833,0.0009779983,0.001970733,0.001182657,0.001402098,0.000252704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371138,"about_ca_system_score_gemma":0.001647365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591118,"about_ca_topic_score_gemma":0.01038913,"domain_scores_codex":[0.9993944,0.000343733,0.00003288161,0.00007689281,0.0001052481,0.00004689483],"domain_scores_gemma":[0.9958056,0.003257076,0.000347085,0.0001522755,0.0003048679,0.00013304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000190336,0.000028744,0.002722347,0.00007925044,0.00004767611,0.00002075209,0.00009251109,0.9490249,0.0003349697,0.03944759,0.0004868416,0.007695352],"study_design_scores_gemma":[0.00001506835,0.00003296092,0.0006309599,0.00005721382,0.00002487926,0.00001674035,0.0000628151,0.9342017,0.0001808389,0.06019271,0.004563013,0.00002111701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.15296,0.01260644,0.7903194,0.007706617,0.0002307886,0.0001681472,0.001386535,0.0005334493,0.03408846],"genre_scores_gemma":[0.8895352,0.01879236,0.08317223,0.0005143314,0.0002083004,0.0003298738,0.001005152,0.0001269883,0.006315534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01591118,"threshold_uncertainty_score":0.03163713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538831167512547,"score_gpt":0.2331033082159457,"score_spread":0.1977149965408203,"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."}}