{"id":"W2135669240","doi":"10.1139/b99-176","title":"The seed bank in an old-growth, temperate deciduous forest","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Botany","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soil seed bank; Species richness; Undergrowth; Deciduous; Temperate forest; Ecological succession; Biology; Canopy; Vegetation (pathology); Temperate deciduous forest; Temperate rainforest; Herbaceous plant; Ecology; Agronomy; Temperate climate; Ecosystem; Seedling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281827,0.0001752813,0.000163197,0.0005862019,0.0007032566,0.0003836807,0.000335555,0.0001278524,0.0005909323],"category_scores_gemma":[0.000480942,0.0001284583,0.00007281204,0.0005565239,0.0004866699,0.0001819893,0.0002019364,0.00009940199,0.00009501931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608373,"about_ca_system_score_gemma":0.0007612014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6387262,"about_ca_topic_score_gemma":0.8954976,"domain_scores_codex":[0.9998546,0.00001914037,0.000005875517,0.00003731098,0.00003941498,0.00004367107],"domain_scores_gemma":[0.9994612,0.00006762885,0.0001241729,0.00002411468,0.00014826,0.0001746565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001181766,0.00003389151,0.9886845,0.00001142837,0.00002222905,0.000229408,0.0008143045,0.0001445527,0.005915804,0.00002680216,0.0001657722,0.003833121],"study_design_scores_gemma":[0.000001968033,0.00001302837,0.9995131,0.000001755446,0.000001894244,0.00004372503,0.0001275094,0.0001275407,0.00005063387,0.000004290114,0.0001133517,0.000001248436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996655,0.00004400061,0.00002828349,0.000003736675,3.250781e-7,0.000003030346,0.0001025314,0.000001227075,0.0001513183],"genre_scores_gemma":[0.9994354,0.00002877816,0.0001107967,0.000008890538,6.714684e-7,0.000003245568,0.0002087984,9.123257e-7,0.0002025564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6387262,"threshold_uncertainty_score":0.7268028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134018595214349,"score_gpt":0.1874665591279911,"score_spread":0.1761263731758476,"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."}}