{"id":"W3011917741","doi":"10.3390/f11030341","title":"Forwarder Productivity in Salvage Logging Operations in Difficult Terrain","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 Marie Skłodowska-Curie Actions","keywords":"Salvage logging; Windthrow; Logging; Forwarder; Productivity; Environmental science; Terrain; Volume (thermodynamics); Storm; Agricultural engineering; Hydrology (agriculture); Meteorology; Forestry; Engineering; Ecosystem; Geography; Forest ecology; Ecology","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":[0.0004360415,0.0004033196,0.0002136181,0.001249843,0.0002315502,0.0005901856,0.0002766409,0.0002379906,0.001702344],"category_scores_gemma":[0.001205002,0.0001132923,0.000326512,0.0009869062,0.0002235975,0.0004332751,0.0004261173,0.0001403615,0.0004679497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328961,"about_ca_system_score_gemma":0.0002278499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004812207,"about_ca_topic_score_gemma":0.01123919,"domain_scores_codex":[0.999687,0.00004930464,0.00002561343,0.00008273369,0.0000915169,0.00006382984],"domain_scores_gemma":[0.9991643,0.0002483444,0.0003124237,0.00006379641,0.0001146583,0.00009646108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001983217,0.0001258531,0.9574274,0.00005063696,0.0000348022,0.0005574899,0.0008178425,0.002782435,0.005017072,0.00004624556,0.0001952805,0.03274648],"study_design_scores_gemma":[0.000001566649,0.00008618868,0.9965631,0.000007970219,0.000007654037,0.00009267866,0.0005612354,0.001933109,0.0004747152,0.00003967102,0.0002270499,0.000005078345],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991778,0.00002435443,0.000300403,0.000004926104,0.000001280093,0.000005540686,0.0001589642,0.000007394372,0.0003192998],"genre_scores_gemma":[0.9986431,0.00003817961,0.0004591532,0.000002908178,0.000002466717,0.000005005816,0.0003209625,0.000003291044,0.000524881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004812207,"threshold_uncertainty_score":0.009568393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240300589619352,"score_gpt":0.21905585179842,"score_spread":0.2066528459022264,"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."}}