{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001496169,0.0000354144,0.0000829729,0.00002838027,0.00006463137,0.00003807836,0.00004731723,0.0000100556,0.000008138332],"category_scores_gemma":[0.00001702884,0.00004414786,0.000005816809,0.00006822841,0.0003875866,0.000257738,0.00004914969,0.00004819468,5.336541e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005877364,"about_ca_system_score_gemma":0.00002070494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05283915,"about_ca_topic_score_gemma":0.6336837,"domain_scores_codex":[0.9995227,0.00000548772,0.0001460881,0.00007307715,0.0001530271,0.00009960404],"domain_scores_gemma":[0.9998395,0.000006366002,0.00004391753,0.00003092875,0.000003437519,0.0000758387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003384259,0.0000120159,0.9855292,0.00002007585,0.000002774643,0.00003828355,0.0001149243,0.0004612758,0.003964818,0.00000325792,0.0001239226,0.009726058],"study_design_scores_gemma":[0.0002076359,0.00004263692,0.9943314,0.00003466272,0.000002617847,0.0002583606,0.0001339987,0.003455662,0.0005092933,0.000005990804,0.0009695011,0.00004823496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995372,0.0001565009,0.00004373396,0.00001750425,0.00006894324,0.00005866564,0.000003141526,0.000001822609,0.0001124976],"genre_scores_gemma":[0.9995208,0.0003104788,0.00009387113,0.000008047585,0.00001100358,6.39786e-7,2.761457e-7,0.00000285837,0.00005201011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5808446,"threshold_uncertainty_score":0.9534681,"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."}}