{"id":"W3023411650","doi":"10.1111/rec.13196","title":"A comparison between reclamation stockpile and boreal forest seed banks and plant communities","year":2020,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Natural Resources Limited","keywords":"Soil seed bank; Vegetation (pathology); Environmental science; Land reclamation; Stockpile; Species richness; Seedling; Taiga; Plant community; Germination; Agronomy; Forb; Forest floor; Forestry; Ecology; Geography; Soil water; Biology; Grassland; Soil science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001392859,0.0001342829,0.0001062193,0.0007942705,0.0003481607,0.0002720827,0.000164372,0.00008504972,0.0007940654],"category_scores_gemma":[0.0003093884,0.00009976217,0.00006214086,0.0004181391,0.0002168573,0.0001936224,0.00019715,0.00006728767,0.00009914271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006450883,"about_ca_system_score_gemma":0.0003784815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1105687,"about_ca_topic_score_gemma":0.4945879,"domain_scores_codex":[0.9999158,0.000009585189,0.000004249181,0.00002222398,0.00001818275,0.0000298532],"domain_scores_gemma":[0.9996613,0.00003278336,0.00008882661,0.00001562907,0.0001089049,0.00009258262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001212941,0.00002871399,0.9810024,0.00001495919,0.00001677636,0.0001023807,0.001418153,0.00005904107,0.009119231,0.00003824691,0.00009088532,0.007987815],"study_design_scores_gemma":[8.803117e-7,0.00002141058,0.9993266,0.00000115469,0.000001806015,0.00002955322,0.000393036,0.00003704846,0.0001050972,0.000002913806,0.00007973885,8.3219e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997008,0.00002184741,0.00002668599,0.000001998348,2.76266e-7,0.00000224116,0.00006101275,0.000001083345,0.0001841395],"genre_scores_gemma":[0.9991989,0.00003839373,0.0001419695,0.00000657816,7.675989e-7,0.000003968884,0.0002708842,9.67227e-7,0.0003376476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105687,"threshold_uncertainty_score":0.2198502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344791354798585,"score_gpt":0.2666002329067277,"score_spread":0.2321210974268692,"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."}}