{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006101826,0.0000877628,0.00009415631,0.00009347169,0.00001705224,0.00002465795,0.00007963211,0.000032366,0.00003951697],"category_scores_gemma":[0.00005205648,0.00008765297,0.00001646223,0.0003519165,0.00001344864,0.0001318462,0.00003576153,0.00008112058,0.00003810397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004753933,"about_ca_system_score_gemma":0.000006510047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003147359,"about_ca_topic_score_gemma":0.01717522,"domain_scores_codex":[0.9994478,0.00001436545,0.0001459049,0.0001497109,0.00007689054,0.0001652825],"domain_scores_gemma":[0.9998367,0.000005288844,0.000006080018,0.0001003218,0.000008354007,0.00004326741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000008143964,0.00007291282,0.1542855,0.0001836725,0.00001281254,0.00003345495,0.003169316,0.8283742,0.001759055,0.00317299,0.006108329,0.002819548],"study_design_scores_gemma":[0.0005408473,0.00002012356,0.5904469,0.00002850391,0.000002829207,7.118398e-7,0.0001411181,0.3965209,0.0006553153,0.00009671262,0.01135969,0.0001863792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841788,0.00005681283,0.01064991,0.001529302,0.0001281287,0.0003831692,0.000004560619,0.0002234214,0.002845868],"genre_scores_gemma":[0.9993255,0.000006074627,0.0003185158,0.0001358773,0.00004163066,0.00004263575,0.00002669519,0.00001651951,0.00008661331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4361614,"threshold_uncertainty_score":0.9584178,"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."}}