{"id":"W3044990301","doi":"10.37478/agr.v4i1.465","title":"LEARNING FROM THE PRESENT AND THE PAST: A CONTEMPORARY AND HISTORICAL REVIEW OF AGRICULTURAL IMPACTS ON SOIL FERTILITY","year":2020,"lang":"en","type":"article","venue":"AGRICA","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Agriculture; Soil fertility; Organic farming; Context (archaeology); Intensive farming; Ecological farming; Sustainable agriculture; Productivity; Geography; Agroforestry; Environmental science; Economics; Ecology; Economic growth; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001572494,0.0005513048,0.000954463,0.006233485,0.0007099376,0.002798195,0.0007608265,0.001335235,0.00248216],"category_scores_gemma":[0.005608486,0.0003709113,0.0006395997,0.01171482,0.001372063,0.003898561,0.0008316098,0.001478475,0.0005313453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166861,"about_ca_system_score_gemma":0.004713029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005141215,"about_ca_topic_score_gemma":0.01326218,"domain_scores_codex":[0.9990211,0.00032397,0.0002010252,0.0001555886,0.0002361168,0.00006221552],"domain_scores_gemma":[0.9931943,0.004845504,0.000759683,0.00008984561,0.0009365092,0.0001741299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001334119,0.00007926461,0.00339702,0.1385852,0.0003100805,0.0007127294,0.005819455,0.0003912631,0.0009308899,0.01021663,0.04850159,0.7909223],"study_design_scores_gemma":[0.000008676324,0.0001236377,0.0145953,0.09760787,0.000525307,0.002301284,0.004902607,0.00007495543,0.0002524535,0.003342927,0.8762143,0.00005061871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003121668,0.9984317,0.00003950261,0.0004936951,0.000161298,0.000001858446,0.00001723199,0.000001682025,0.0005407403],"genre_scores_gemma":[0.002298033,0.9969653,0.00008301786,0.0003446506,0.0001703189,0.000003785675,0.0000204198,0.000001176409,0.0001131927],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006233485,"threshold_uncertainty_score":0.01210672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851038462894166,"score_gpt":0.2122942959164745,"score_spread":0.1737839112875328,"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."}}