{"id":"W6913092854","doi":"10.5683/sp3/gq6rzi","title":"Control and distribution of glyphosate-resistant giant ragweed in Ontario: Windsor, LaSalle, and Amherstburg, Essex County, Ontario [Canada] 2011 and 2012","year":2013,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glyphosate; Ragweed; Chemical control; Weed control; Herbicide resistance; Field experiment; Pesticide","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":[0.00026011,0.0004797774,0.0003467053,0.001419169,0.001380479,0.0007316453,0.001288273,0.0003483808,0.002471593],"category_scores_gemma":[0.0008309706,0.0003310223,0.0004386118,0.00344567,0.0004529022,0.000286992,0.000496959,0.0003468407,0.0004870637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02518785,"about_ca_system_score_gemma":0.0236461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953193,"about_ca_topic_score_gemma":0.9988673,"domain_scores_codex":[0.9993896,0.00002391933,0.00004219652,0.000118083,0.0002758645,0.000150239],"domain_scores_gemma":[0.997993,0.00004903458,0.0004964668,0.00004622395,0.00107241,0.00034295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002738126,0.0000687111,0.9533974,0.0005163723,0.0002525628,0.000394114,0.001938996,0.0004431107,0.003699057,0.0002637664,0.02473414,0.01401795],"study_design_scores_gemma":[0.00001654505,0.00002402594,0.9879254,0.00004046595,0.00002854852,0.00005776333,0.001041284,0.0001577806,0.0001457161,0.000009706504,0.01054101,0.00001174369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.856001,0.002236077,0.0004222664,0.0007077474,0.00003346149,0.0002938472,0.1268502,0.0001043642,0.013351],"genre_scores_gemma":[0.9206463,0.002173567,0.00113738,0.0003227423,0.00001765577,0.0002726302,0.05808649,0.00003440124,0.01730895],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02518785,"threshold_uncertainty_score":0.1827515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00958428225217557,"score_gpt":0.2020007805179545,"score_spread":0.1924164982657789,"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."}}