{"id":"W2160417354","doi":"10.1614/ws-d-13-00075.1","title":"Weed Abundance, Distribution, Diversity, and Community Analyses","year":2015,"lang":"en","type":"article","venue":"Weed Science","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Abundance (ecology); Weed; Agroecosystem; Biodiversity; Distribution (mathematics); Range (aeronautics); Ecology; Relative species abundance; Productivity; Population; Geography; Agroforestry; Agriculture; Biology; Mathematics; Demography; Engineering","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":[0.001905578,0.000479565,0.000632045,0.01141586,0.001030258,0.0008389654,0.0005815368,0.00032173,0.00409061],"category_scores_gemma":[0.00418859,0.0002678054,0.0008196926,0.006881304,0.0005316652,0.0007628004,0.001129307,0.0005839827,0.0007600717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007442893,"about_ca_system_score_gemma":0.0006100386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009743683,"about_ca_topic_score_gemma":0.01906435,"domain_scores_codex":[0.9981984,0.0002834135,0.0001848871,0.0003939009,0.0007029686,0.0002363372],"domain_scores_gemma":[0.99782,0.0005149071,0.0005694439,0.0001749409,0.0006548532,0.0002658562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006196459,0.0004743231,0.879483,0.0004020118,0.0005048738,0.0003863762,0.001603796,0.002817834,0.02083302,0.001499796,0.002695735,0.08867966],"study_design_scores_gemma":[0.00002461899,0.0003225508,0.9742855,0.00003385851,0.00009769473,0.000377384,0.001404431,0.01471979,0.00226809,0.001628568,0.004787731,0.00004992695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609604,0.0004544208,0.01686623,0.00006812974,0.00002801172,0.000771949,0.01453268,0.0003213625,0.005996639],"genre_scores_gemma":[0.9572685,0.0002273648,0.02979182,0.00003234309,0.00003358633,0.001142641,0.008487882,0.00007921983,0.002936688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141586,"threshold_uncertainty_score":0.01937395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216416334072153,"score_gpt":0.3016232959715886,"score_spread":0.1799816625643733,"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."}}