{"id":"W2897121155","doi":"10.1007/s00049-018-0267-3","title":"Weed suppression by Canadian spring cereals: relative contribution of competition for resources and allelopathy","year":2018,"lang":"en","type":"article","venue":"Chemoecology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Division of Materials Research","keywords":"Allelopathy; Weed; Competition (biology); Triticale; Agronomy; Biology; Weed control; Cultivar; Biomass (ecology); Crop; Ecology; Germination","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":[0.0003438814,0.0003711807,0.0003517144,0.0006737367,0.001441584,0.0007924949,0.0005704929,0.0003103781,0.001902173],"category_scores_gemma":[0.0006631106,0.0002262509,0.0002261207,0.0006649037,0.0006950297,0.0003182331,0.0004414547,0.0003193695,0.0001231698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01307334,"about_ca_system_score_gemma":0.008967206,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9164351,"about_ca_topic_score_gemma":0.9787614,"domain_scores_codex":[0.999645,0.00002843363,0.000007727453,0.00006105114,0.0001270481,0.0001307278],"domain_scores_gemma":[0.9993694,0.00008998498,0.0000756921,0.0000224739,0.000228457,0.0002139146],"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":[0.004272892,0.0002223486,0.2401786,0.0002429946,0.0002128569,0.0003017095,0.001498353,0.001103058,0.7135214,0.001611969,0.001893201,0.03494069],"study_design_scores_gemma":[0.00002728744,0.0001136497,0.988277,0.000006532488,0.00004509828,0.00005611427,0.0005950003,0.0007651767,0.007270257,0.0001073303,0.00271595,0.00002069985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978096,0.0004199595,0.00008585018,0.0001183195,0.000003942636,0.000005128663,0.0001227808,0.00000758938,0.00142687],"genre_scores_gemma":[0.9967095,0.0003514558,0.0002178643,0.00005758842,0.000002769569,0.000003833698,0.0003052453,0.00001193307,0.002339907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08356488,"threshold_uncertainty_score":0.1681139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00872819461241712,"score_gpt":0.2172449035385546,"score_spread":0.2085167089261375,"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."}}