{"id":"W2059798226","doi":"10.1046/j.1365-2745.2000.00456.x","title":"Effects of low and high nutrients on the competitive hierarchy of 26 shoreline plants","year":2000,"lang":"en","type":"article","venue":"Journal of Ecology","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Nutrient; Biology; Ecology; Ranking (information retrieval); Shore; Plant community; Species richness; Computer science; Fishery","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":[0.0003902919,0.0002792274,0.000255256,0.0002522214,0.0004343605,0.0002940931,0.0002079206,0.0001704045,0.001015695],"category_scores_gemma":[0.0004719404,0.0001916295,0.0001356889,0.000127889,0.0004068356,0.0002003379,0.0003862318,0.0003129761,0.0001319648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005676897,"about_ca_system_score_gemma":0.00022367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006026306,"about_ca_topic_score_gemma":0.01285679,"domain_scores_codex":[0.9997544,0.00007891709,0.00001491869,0.00005522557,0.00005370009,0.00004285691],"domain_scores_gemma":[0.9991567,0.0002312198,0.0001528789,0.00004383651,0.0000843076,0.0003310066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002241945,0.0004178844,0.09730066,0.00006648082,0.00006223025,0.0001958534,0.0004462799,0.0004865156,0.8927719,0.00009301373,0.00007250081,0.005844639],"study_design_scores_gemma":[0.0001007881,0.00670107,0.9120011,0.000004770597,0.00005040035,0.0001858575,0.0004166594,0.002252821,0.07710925,0.000120721,0.001023135,0.00003351022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999869,0.0000135406,0.00001772139,0.000002842188,4.02222e-7,0.000001530871,0.00001582004,9.399591e-7,0.00007825437],"genre_scores_gemma":[0.9992864,0.00002396224,0.000226961,0.00001298927,0.000001325303,0.000006383399,0.0001320211,0.000002445205,0.0003076219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006026306,"threshold_uncertainty_score":0.01198244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002597035925944886,"score_gpt":0.1806159710875838,"score_spread":0.178018935161639,"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."}}