{"id":"W6894423762","doi":"10.5683/sp2/h2wmwi","title":"Long-term logging residue loadings affect tree growth but not soil nutrients in lodgepole pine forests","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; University of British Columbia","funders":"","keywords":"Logging; Nutrient; Soil nutrients; Residue (chemistry); Pinus contorta; Tree (set theory); Pine forest","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001076247,0.0009630311,0.0007113435,0.001478557,0.0004581144,0.0009623065,0.001282498,0.0007970963,0.007569313],"category_scores_gemma":[0.002053175,0.0003431909,0.0007335253,0.002327145,0.0002390752,0.0005168511,0.0008350405,0.0005906958,0.006104192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007911862,"about_ca_system_score_gemma":0.0008711063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09606737,"about_ca_topic_score_gemma":0.1901729,"domain_scores_codex":[0.9995907,0.00007285205,0.00004457418,0.0001354976,0.00008838846,0.00006792669],"domain_scores_gemma":[0.9990728,0.000216373,0.0001869036,0.0001727432,0.0002392736,0.0001119749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006772255,0.0002400809,0.1168796,0.002001444,0.0006365835,0.0002355002,0.0002304058,0.00629454,0.001927939,0.000781531,0.8534055,0.01668971],"study_design_scores_gemma":[0.0005754303,0.0001193749,0.5696952,0.0006466147,0.0003788075,0.0003316485,0.0004687954,0.00743004,0.001624337,0.001437608,0.4171479,0.0001443242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01038047,0.0002552129,0.000139934,0.00009334406,0.00003125385,0.000007280962,0.9881766,0.0002314815,0.0006843609],"genre_scores_gemma":[0.01133624,0.00007397547,0.0003732296,0.00004023039,0.000007708134,0.00003299411,0.9876119,0.00003191154,0.000491759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09606737,"threshold_uncertainty_score":0.1910164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900325486356889,"score_gpt":0.2761135645764247,"score_spread":0.2571103097128558,"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."}}