{"id":"W2970116382","doi":"10.1139/cjfr-2019-0185","title":"Variation in soil and foliar nutrition status along a forest edge–interior gradient in sugar maple forest fragments","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministère des Ressources naturelles et des Forêts; Université de Montréal; Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Maple; Sugar; Aceraceae; Environmental science; Yellow birch; Forest floor; Nutrient; Agronomy; Botany; Chemistry; Biology; Soil water; Ecology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001939117,0.0001653761,0.0002133157,0.0009667068,0.0005948475,0.0004907351,0.0003514393,0.0001796396,0.000706905],"category_scores_gemma":[0.0004580626,0.0001141452,0.0001121882,0.0008067326,0.0006267208,0.0001659881,0.0003878873,0.0001578195,0.00009857022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752657,"about_ca_system_score_gemma":0.0007587886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5495998,"about_ca_topic_score_gemma":0.8081183,"domain_scores_codex":[0.9998116,0.00002211043,0.000007774099,0.00006001881,0.00004153308,0.000057096],"domain_scores_gemma":[0.9994894,0.00005766467,0.0001322056,0.00002044182,0.0001500486,0.0001501949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009640553,0.00002017852,0.9926745,0.00000893613,0.00003488113,0.0000709923,0.0006462897,0.00008435997,0.00366129,0.00002030066,0.00007229301,0.002609654],"study_design_scores_gemma":[5.486928e-7,0.000005200434,0.9997031,0.000001086527,0.000001860848,0.00001183281,0.0001684066,0.00004540411,0.00002271723,0.000002528576,0.00003626438,0.000001051157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996876,0.00003287505,0.00002876314,0.000004004088,4.155276e-7,0.000002948178,0.00009202168,0.00000135429,0.0001500398],"genre_scores_gemma":[0.9995018,0.00002269531,0.0001030085,0.000007931974,6.357928e-7,0.000004201586,0.0002122582,9.402289e-7,0.0001465036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5495998,"threshold_uncertainty_score":0.9061053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530514881399626,"score_gpt":0.2595098408220697,"score_spread":0.2442046920080735,"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."}}