{"id":"W2093288856","doi":"10.5558/tfc77467-3","title":"An economic perspective on clearcut harvesting","year":2001,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clearcutting; License; Business; Forest management; Logging; Ecoforestry; Natural resource economics; Forest product; Forestry; Economics; Forest ecology; Forest restoration; Geography; Ecology; Ecosystem; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007354681,0.0002170344,0.0001411902,0.0009663477,0.001640381,0.003643457,0.0003541663,0.001677748,0.009681228],"category_scores_gemma":[0.00124316,0.0001108942,0.000199279,0.001021361,0.005329748,0.003024785,0.0009569571,0.001774844,0.0005060664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002601277,"about_ca_system_score_gemma":0.001415139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005040878,"about_ca_topic_score_gemma":0.006468704,"domain_scores_codex":[0.999443,0.0001721088,0.00001464808,0.0000587856,0.0001851228,0.0001262855],"domain_scores_gemma":[0.9992208,0.000521332,0.00006943521,0.00002493087,0.0001084714,0.00005486484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008058602,0.00001430419,0.0005069181,0.00003103914,0.000001669581,0.00007952759,0.0004387629,0.0004590517,0.0001474678,0.988905,0.002592479,0.006815658],"study_design_scores_gemma":[0.000008125835,0.00005779011,0.01015076,0.0004434122,0.000007706604,0.0002761459,0.003410823,0.001371119,0.0003908039,0.5663432,0.4175176,0.00002247247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03862624,0.01856596,0.008391364,0.06690466,0.0003635259,0.0000318315,0.0002284187,0.00001063546,0.8668773],"genre_scores_gemma":[0.8885387,0.02990478,0.002730529,0.01100941,0.001966118,0.0000811627,0.0001140109,0.00002512805,0.06563028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009681228,"threshold_uncertainty_score":0.0323869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522734600419715,"score_gpt":0.2679248641301559,"score_spread":0.2526975181259588,"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."}}