{"id":"W2806016339","doi":"10.1017/inp.2018.10","title":"The Economic Cost of Noxious Weeds on Montana Grazing Lands","year":2018,"lang":"en","type":"article","venue":"Invasive Plant Science and Management","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grazing; Noxious weed; Cirsium arvense; Agronomy; Forage; Biology; Rangeland; Weed control; Agroforestry","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":[0.0003352808,0.0001172154,0.0001030343,0.0006355937,0.0003170699,0.0005487729,0.0002393569,0.0001929207,0.001856765],"category_scores_gemma":[0.001266709,0.00007805296,0.0001505855,0.0007079267,0.0002028755,0.0002935847,0.000339494,0.000177267,0.00008683809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005664,"about_ca_system_score_gemma":0.000334211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03732629,"about_ca_topic_score_gemma":0.1708787,"domain_scores_codex":[0.9997638,0.00009515541,0.00001388474,0.00002549872,0.00006224313,0.00003945352],"domain_scores_gemma":[0.9987961,0.0003250035,0.0005500266,0.00003621755,0.0001407666,0.00015178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001010028,0.00007004768,0.989479,0.00003441637,0.00005575264,0.000184674,0.0001704541,0.0008432467,0.001272579,0.000113295,0.0002216802,0.007453907],"study_design_scores_gemma":[0.000001698454,0.0000371641,0.9984406,0.000005621481,0.000007173587,0.00006029459,0.000322345,0.0007489641,0.00006007557,0.00003120028,0.0002831393,0.000001832789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990129,0.00004652509,0.00003019534,0.00004274524,8.004351e-7,0.000002909494,0.0001499923,0.000001776158,0.0007121038],"genre_scores_gemma":[0.9994193,0.00005765524,0.0001059957,0.00001700532,0.000002680212,0.000003065323,0.0001736653,6.828516e-7,0.0002200074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03732629,"threshold_uncertainty_score":0.07421803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680126802359137,"score_gpt":0.2170956789437356,"score_spread":0.2002944109201442,"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."}}