{"id":"W1995571533","doi":"10.1139/b11-004","title":"<i>Bromus inermis</i>invasion of a native grassland: diversity and resource reduction","year":2011,"lang":"en","type":"article","venue":"Botany","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bromus inermis; Species evenness; Biology; Grassland; Species richness; Agronomy; Biodiversity; Standing crop; Nutrient; Ecology; Botany; Poaceae; Biomass (ecology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001004763,0.00004401925,0.00006443624,0.00001339592,0.0002613182,8.629353e-7,0.00004686013,0.00003264785,0.0001549491],"category_scores_gemma":[0.00001863221,0.00003923725,0.00001419203,0.00005361556,0.0001997524,0.0000682639,0.0003470837,0.00004185948,0.00001889943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000207895,"about_ca_system_score_gemma":0.000001081209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001690709,"about_ca_topic_score_gemma":0.0001695037,"domain_scores_codex":[0.9996594,0.00002824209,0.00006746186,0.0001128677,0.00006621554,0.00006586118],"domain_scores_gemma":[0.999844,0.00001782533,0.00005381774,0.00005715939,0.000005024337,0.00002213451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000350191,0.00005114106,0.9896793,0.000004898201,0.00001402228,0.000001731862,0.006416805,0.000006793361,0.002334931,0.0003374357,0.0007158806,0.0004020641],"study_design_scores_gemma":[0.000168872,0.00006349329,0.9969737,0.000004218015,0.00001229414,0.000005483734,0.0003162252,0.00008844919,0.0004517473,0.001705295,0.0001629611,0.00004724993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812115,0.00004113684,0.00006282405,0.00003228097,0.00003503104,0.00005567764,0.000001761858,0.00001060303,0.01854915],"genre_scores_gemma":[0.9989174,0.00005332427,0.0003570808,0.00002182801,0.000004843453,0.000001839651,2.728343e-7,0.00000188075,0.0006415233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790763,"threshold_uncertainty_score":0.2009875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0194913304278552,"score_gpt":0.2043614875431692,"score_spread":0.184870157115314,"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."}}