{"id":"W2077860942","doi":"10.5558/tfc82048-1","title":"Salvage harvesting – past lessons and future issues","year":2006,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Forest Service; U.S. Forest Service; University of Northern British Columbia","keywords":"Salvage logging; Logging; Sustainability; Disturbance (geology); Environmental resource management; Natural (archaeology); Natural resource; Resource (disambiguation); Environmental impact assessment; Agroforestry; Environmental planning; Business; Geography; Environmental science; Forestry; Ecology; Forest ecology; Computer science; Ecosystem","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000123648,0.00007742775,0.00005346515,0.000008584659,0.0004166398,0.00005741241,0.0001713679,0.00002877371,0.0003725316],"category_scores_gemma":[0.000002484627,0.00005366129,0.00002281837,0.00009724942,0.0002061146,0.00008902621,0.0002743863,0.00006677376,0.000124284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005550934,"about_ca_system_score_gemma":0.000003275689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002787337,"about_ca_topic_score_gemma":0.000937319,"domain_scores_codex":[0.9994406,0.00002046761,0.00007395643,0.000152359,0.0001366426,0.0001760281],"domain_scores_gemma":[0.9997346,0.00001646385,0.0000367628,0.0001807963,0.000002529952,0.00002886472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006240798,0.00004127717,0.9606772,0.00001294729,0.000008333909,0.00000730413,0.0005016299,0.00082542,0.0007213512,0.0004792846,0.02146071,0.01525828],"study_design_scores_gemma":[0.000134954,0.00001144172,0.7393841,0.000003168003,0.000009639959,0.000002696566,0.0003262508,0.0003804252,0.00009542594,0.0004054282,0.2591839,0.00006254359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748291,0.0003753939,0.00002197827,0.01304743,0.00005261079,0.0001044675,0.000004100009,0.00004460087,0.01152031],"genre_scores_gemma":[0.9927282,0.00004318254,0.0001390965,0.0002330712,0.0003758601,0.000002871507,0.000006075722,0.000005536965,0.006466082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377232,"threshold_uncertainty_score":0.4213639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109343021936953,"score_gpt":0.2119088374373969,"score_spread":0.2009745352437016,"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."}}