{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005208503,0.0006237749,0.0009214586,0.002134726,0.001991816,0.003192143,0.001406265,0.003202683,0.002815233],"category_scores_gemma":[0.004651704,0.0005754494,0.0007219883,0.001547331,0.009838933,0.01265361,0.002707568,0.005207471,0.000550208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004698169,"about_ca_system_score_gemma":0.00247185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005561076,"about_ca_topic_score_gemma":0.004137018,"domain_scores_codex":[0.9989772,0.0002871942,0.00007425111,0.0003173604,0.0001802172,0.0001638518],"domain_scores_gemma":[0.9978083,0.0009790641,0.0002381429,0.0002147418,0.000313796,0.0004459966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007453538,0.0002937179,0.02943492,0.001176192,0.0001243916,0.001397316,0.005389764,0.0133026,0.06871808,0.5159369,0.01058865,0.3528921],"study_design_scores_gemma":[0.00007259787,0.0003781634,0.04635851,0.000420306,0.0000804111,0.0007341193,0.005118998,0.01405293,0.006811006,0.7842894,0.1414106,0.0002729899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3825789,0.1239161,0.2047037,0.2137226,0.001115929,0.0004308591,0.0007210972,0.0009572319,0.07185359],"genre_scores_gemma":[0.8120505,0.05352718,0.1139969,0.009961288,0.0009004893,0.0002988815,0.0004374623,0.0002396947,0.008587688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005561076,"threshold_uncertainty_score":0.03408778,"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."}}