{"id":"W4403073101","doi":"10.1002/ecy.4438","title":"A global database of soil seed bank richness, density, and abundance","year":2024,"lang":"en","type":"article","venue":"Ecology","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Species richness; Ecology; Soil seed bank; Arable land; Habitat; Database; Abundance (ecology); Population; Shrubland; Biome; Geography; Biodiversity; Agriculture; Ecosystem; Biology","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":[0.001505102,0.001002928,0.002247708,0.02937207,0.0004607207,0.001686344,0.001633612,0.001027319,0.0252813],"category_scores_gemma":[0.007637254,0.0006184664,0.001090082,0.03065423,0.0003233394,0.002302269,0.001265928,0.0006570503,0.01441185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009089811,"about_ca_system_score_gemma":0.002906768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007168929,"about_ca_topic_score_gemma":0.008488008,"domain_scores_codex":[0.9983234,0.000173195,0.0009196989,0.0002884056,0.0002111321,0.00008421063],"domain_scores_gemma":[0.991075,0.002741559,0.002116027,0.000798287,0.002811807,0.0004572582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001312859,0.0002640436,0.09309476,0.08473402,0.00168527,0.001547463,0.001861924,0.001569266,0.006673686,0.006928578,0.5158265,0.2845017],"study_design_scores_gemma":[0.0002224493,0.0001861393,0.1679094,0.006681097,0.001301744,0.001178822,0.0009510086,0.0007889163,0.001970852,0.001959759,0.8167174,0.0001324487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006220922,0.005434382,0.00129016,0.00009081513,0.00004181392,0.0001850483,0.9811979,0.00043984,0.005099186],"genre_scores_gemma":[0.01722142,0.005879711,0.006289252,0.00008145202,0.00004937022,0.0007568997,0.9675916,0.0001093709,0.002020893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02937207,"threshold_uncertainty_score":0.0845744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00602069752388237,"score_gpt":0.2218587414629009,"score_spread":0.2158380439390185,"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."}}