{"id":"W2167255415","doi":"10.4141/cjss09079","title":"Influence of landscape on the apportionment of Ca nutrition in a Boreal Shield forest of Saskatchewan (Canada) using <sup>87</sup>Sr/<sup>86</sup>Sr as a tracer","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Oxford","keywords":"Weathering; Taiga; Deposition (geology); Vegetation (pathology); Environmental science; TRACER; Atmospheric sciences; Soil science; Environmental chemistry; Geology; Chemistry; Forestry; Geochemistry; Geomorphology; Sediment; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002314703,0.0001811716,0.0002103784,0.0006181275,0.0007418745,0.0008831057,0.0003803846,0.0001731159,0.0006649513],"category_scores_gemma":[0.0004595948,0.0001578686,0.0001577541,0.001001694,0.0008133553,0.000190555,0.0005148837,0.0001789814,0.00007639674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004879067,"about_ca_system_score_gemma":0.003424072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8387657,"about_ca_topic_score_gemma":0.9523004,"domain_scores_codex":[0.9997736,0.00003662273,0.00001281477,0.0000678576,0.00004418316,0.00006490813],"domain_scores_gemma":[0.9994784,0.00008882967,0.00007388937,0.00002780824,0.0001585233,0.000172694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000207383,0.00003189869,0.9681818,0.00001866682,0.00008044554,0.0002370355,0.0006079737,0.0004486049,0.02464893,0.00008704419,0.00011,0.005340154],"study_design_scores_gemma":[0.000002001946,0.0000145204,0.998836,0.000002418219,0.0000101267,0.00002928241,0.0004917103,0.0001855473,0.0003080586,0.00001238586,0.0001041449,0.000003782769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995469,0.00002508657,0.00002859369,0.000007618606,4.441366e-7,0.000002619001,0.00009663578,0.000001761256,0.0002902301],"genre_scores_gemma":[0.9993865,0.00004214933,0.000125988,0.0000136059,3.900656e-7,0.000004168206,0.0001834643,0.000002076171,0.0002417755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1612343,"threshold_uncertainty_score":0.3243677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108901733595507,"score_gpt":0.2007785267771209,"score_spread":0.1896895094411659,"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."}}