{"id":"W2802146893","doi":"10.1139/cjfr-2018-0037","title":"Does salvage logging erase a key physical legacy of a tornado blowdown? A case study of tree tip-up mounds","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsite; Salvage logging; Logging; Vegetation (pathology); Ecology; Environmental science; Hydrology (agriculture); Forestry; Geology; Ecosystem; Geography; Forest ecology; Biology; Agronomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005455316,0.0002632408,0.0002668315,0.0003228324,0.001812541,0.0005838461,0.0004521924,0.00063938,0.000733897],"category_scores_gemma":[0.001170807,0.0001427263,0.000243788,0.0002520274,0.0008839841,0.0003936105,0.0004064696,0.0005245798,0.00006226441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006738074,"about_ca_system_score_gemma":0.0003734697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375114,"about_ca_topic_score_gemma":0.07529044,"domain_scores_codex":[0.999805,0.00004778869,0.00000913422,0.00003785101,0.00003359117,0.00006652271],"domain_scores_gemma":[0.9993997,0.0001632014,0.0001492829,0.0001057525,0.0000546676,0.0001274371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001736824,0.002155803,0.7893671,0.0002877734,0.0001239599,0.0689467,0.01717404,0.001431767,0.02125807,0.0008415579,0.001476373,0.09520003],"study_design_scores_gemma":[0.00004437381,0.002606431,0.9573053,0.00008444329,0.00007031709,0.01354288,0.01733335,0.001322185,0.002864638,0.0003998043,0.004383209,0.000043101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994154,0.00006030853,0.00007708195,0.00004954632,0.0000032723,0.00001276677,0.00001332461,0.000002481058,0.0003658389],"genre_scores_gemma":[0.9991528,0.0001135227,0.0003897796,0.00003940358,0.00000646512,0.0000075384,0.00002296129,0.00000157369,0.0002661126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01375114,"threshold_uncertainty_score":0.0273422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258721554650017,"score_gpt":0.3308125624086654,"score_spread":0.2982253468621652,"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."}}