{"id":"W3109204697","doi":"10.3390/f11121278","title":"A Disturbance Ecology Perspective on Silvicultural Site Preparation","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disturbance (geology); Environmental science; Silviculture; Biomass (ecology); Boreal; Vegetation (pathology); Taiga; Ecology; Logging; Regeneration (biology); Stand development; Ecosystem; Environmental resource management; Site selection; Agroforestry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002843085,0.00009619788,0.0001149704,0.000003329828,0.0002736947,0.00001694633,0.0001152708,0.00007464114,0.0001540552],"category_scores_gemma":[0.00009161371,0.00003445117,0.00006197648,0.000134327,0.00008400188,0.00007821698,0.00006359182,0.00008896816,0.0005615902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004033388,"about_ca_system_score_gemma":0.000002198776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006996754,"about_ca_topic_score_gemma":0.008292401,"domain_scores_codex":[0.9993876,0.00003369391,0.00007317492,0.0002536745,0.00007994796,0.0001719666],"domain_scores_gemma":[0.9997346,0.00007800759,0.0000446213,0.00002152023,0.00005789324,0.00006330543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004914725,0.0001123319,0.9296528,0.00000444755,0.00004241099,0.00002455105,0.002406443,0.00004978498,0.002127518,0.003544621,0.06098679,0.0005568836],"study_design_scores_gemma":[0.0001202526,0.001192732,0.9857149,0.000002296395,0.000008323788,0.000001576759,0.0004752748,0.00006429999,0.000220457,0.0003791331,0.0117201,0.000100647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705938,0.00004488146,3.073976e-7,0.02754102,0.00008862361,0.0001646125,0.00004715196,0.00007309077,0.001446586],"genre_scores_gemma":[0.9965521,0.000007777505,0.000011117,0.002947388,0.0002187849,0.000009284764,0.00005118425,2.623054e-7,0.0002020726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05606216,"threshold_uncertainty_score":0.7218294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830051305852422,"score_gpt":0.2285352786093429,"score_spread":0.2102347655508187,"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."}}