{"id":"W2005875983","doi":"10.1007/s11258-007-9368-8","title":"Variation in soil seed bank species composition of a dry coniferous forest: spatial scale and sampling considerations","year":2007,"lang":"en","type":"article","venue":"Plant Ecology","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Forests; Government of British Columbia; University of British Columbia","funders":"","keywords":"Plant ecology; Soil seed bank; Spatial variability; Disturbance (geology); Logging; Biodiversity; Spatial ecology; Ecology; Environmental science; Forestry; Biology; Agronomy; Geography; Seedling; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004118247,0.00006885342,0.0001571243,0.00006010651,0.00006529623,0.000009639952,0.00003352994,0.0000818037,0.0001619702],"category_scores_gemma":[0.00004295103,0.00007216311,0.00001225349,0.0000568453,0.00009055626,0.00007833775,0.00004059133,0.00006865768,0.00002525976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113777,"about_ca_system_score_gemma":0.000009372874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00390905,"about_ca_topic_score_gemma":0.1648493,"domain_scores_codex":[0.9992768,0.00006620894,0.0002486922,0.0001559111,0.00008224888,0.000170094],"domain_scores_gemma":[0.9991664,0.0006276985,0.00009721881,0.00006889969,0.000005869161,0.0000339041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003447013,0.00005931022,0.9137588,0.00001297106,0.000004644951,0.00001353692,0.0004515865,0.001406567,0.08375937,0.0003382402,0.00001312154,0.0001473697],"study_design_scores_gemma":[0.0004164619,0.00009677976,0.9771582,0.00001075746,0.000006721694,0.00003070428,0.00002365652,0.01943896,0.002072095,0.0006589589,0.0000165236,0.00007018306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951159,0.000006285314,0.003375908,0.0000894379,0.0001783334,0.0002645613,0.00003016672,0.00001464847,0.0009247489],"genre_scores_gemma":[0.9988135,0.000002812366,0.001034307,0.00007099309,0.00002658707,0.000008375055,0.0000291546,0.000004648863,0.000009585169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1609402,"threshold_uncertainty_score":0.8503901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009595312595081102,"score_gpt":0.2068438702093612,"score_spread":0.1972485576142801,"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."}}