{"id":"W2158151528","doi":"10.1614/ws-09-011.1","title":"Evolution of Weediness and Invasiveness: Charting the Course for Weed Genomics","year":2009,"lang":"en","type":"article","venue":"Weed Science","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Agriculture","keywords":"Weed; Genomics; Biology; Biotechnology; Data science; Computational biology; Ecology; Computer science; Genome; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002697161,0.000045659,0.00005027978,0.00001424866,0.0001847023,0.00001753368,0.0001273396,0.00003441266,3.124087e-7],"category_scores_gemma":[0.00006859822,0.00003014871,0.00001587231,0.00008668371,0.0001774352,0.000007034928,0.00002012862,0.00001842269,2.777929e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009622534,"about_ca_system_score_gemma":0.0001224647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008007595,"about_ca_topic_score_gemma":0.0000725248,"domain_scores_codex":[0.9996043,0.000007206126,0.00008095987,0.000140436,0.00006577009,0.0001012797],"domain_scores_gemma":[0.999717,0.000005941458,0.00005895428,0.00009031125,0.0001032644,0.00002456005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001072756,0.000008905909,0.00007146,0.000003532254,0.000001769244,5.928512e-8,0.00006408762,0.00007225521,0.9968773,0.0006090494,0.0001129291,0.002167916],"study_design_scores_gemma":[0.0001960613,0.0001290695,0.02123484,0.00001049198,0.00001236596,0.00001166979,0.000196537,0.001126733,0.971478,0.0001619633,0.00537158,0.00007071583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950083,0.001344804,0.002668027,0.0005405332,0.0000869522,0.0002123694,0.000006173649,0.000003050395,0.0001298006],"genre_scores_gemma":[0.9993428,0.000007649719,0.0002794451,0.00007220939,0.0001409526,0.00001060484,0.000008110811,0.000001709004,0.0001365403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02539934,"threshold_uncertainty_score":0.14206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211206063915108,"score_gpt":0.253854605589126,"score_spread":0.2417425449499749,"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."}}