{"id":"W2074846907","doi":"10.2136/sssaj2002.1669","title":"Quantifying Harvesting Impacts using Soil Compaction and Disturbance Regimes at a Landscape Scale","year":2002,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Transect; Postharvest; Environmental science; Disturbance (geology); Taiga; Soil compaction; Boreal; Soil science; Hydrology (agriculture); Soil water; Agronomy; Forestry; Ecology; Geography; Geology; Biology; Horticulture; Geomorphology","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":[0.0004790378,0.0003921246,0.0002455207,0.001319666,0.0003418574,0.0008117968,0.000329261,0.0001796102,0.001034686],"category_scores_gemma":[0.0008488023,0.0001723323,0.0002694447,0.002058699,0.0002242175,0.0003936521,0.0006384936,0.0001543438,0.0001818008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007767252,"about_ca_system_score_gemma":0.0004761066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06017958,"about_ca_topic_score_gemma":0.2960666,"domain_scores_codex":[0.9996889,0.00005430933,0.00003553974,0.00007383738,0.00009182104,0.00005577908],"domain_scores_gemma":[0.9993667,0.0001213503,0.0002814066,0.00005858936,0.0001135751,0.00005844868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005790142,0.00002486799,0.9827428,0.00002460263,0.00007231806,0.00004841897,0.0001361364,0.0008859786,0.004868294,0.00001796756,0.00004645588,0.01107416],"study_design_scores_gemma":[9.592897e-7,0.00002833922,0.9990945,0.000002390076,0.00000731703,0.00001645691,0.00008069297,0.0003839609,0.0002760561,0.000008510884,0.00009808798,0.000002670053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961124,0.0000688146,0.001740688,0.000005651853,0.000001290857,0.00004878941,0.0009027568,0.00001818115,0.001101543],"genre_scores_gemma":[0.9953868,0.0001184103,0.002592538,0.00001240689,0.000002861042,0.0000541955,0.001316539,0.000004882714,0.0005114296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06017958,"threshold_uncertainty_score":0.1196586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03171972566808123,"score_gpt":0.2553449635197526,"score_spread":0.2236252378516713,"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."}}