{"id":"W923123016","doi":"","title":"Harvesting Productivity and Cost of Clearcut and Partial Cut in Interior British Columbia, Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Forest and Environmental Science","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Clearcutting; Felling; Logging; Productivity; Silviculture; Environmental science; Forestry; Agroforestry; Geography; Economics","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":[0.0002934044,0.0003058568,0.0002504858,0.0008678561,0.001475595,0.001144195,0.001125875,0.0002555446,0.003517278],"category_scores_gemma":[0.0009413716,0.0002213919,0.0002074184,0.001717824,0.0005094638,0.0002455553,0.0004513954,0.0003889618,0.000372284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02528573,"about_ca_system_score_gemma":0.01418258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862908,"about_ca_topic_score_gemma":0.9979831,"domain_scores_codex":[0.9994138,0.00003366814,0.00002522943,0.00008799446,0.0002493463,0.0001898957],"domain_scores_gemma":[0.9988689,0.0000981769,0.0001501373,0.00004391773,0.00048153,0.000357315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009929668,0.0003948943,0.9086695,0.0002026101,0.000148935,0.000436398,0.00132929,0.002066777,0.00625769,0.0003172253,0.005531252,0.07365241],"study_design_scores_gemma":[0.0000113786,0.00004762052,0.9966659,0.00002269203,0.0000152885,0.00002971276,0.001136698,0.0004965016,0.0002675355,0.00001971845,0.001277849,0.000009186702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962733,0.0002590255,0.00005897984,0.00004989826,0.000004140455,0.00002672008,0.001317931,0.00000735058,0.002002673],"genre_scores_gemma":[0.9908491,0.0003424614,0.0003882706,0.00006424633,0.000001718352,0.00002878331,0.00196073,0.000007881732,0.00635671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02528573,"threshold_uncertainty_score":0.1834617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006437138507502948,"score_gpt":0.1688926853653855,"score_spread":0.1624555468578825,"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."}}