{"id":"W1991106256","doi":"10.1016/j.jfe.2011.12.002","title":"Optimal forest harvest age considering carbon sequestration in multiple carbon pools: A comparative statics analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Forest Economics","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Carbon sequestration; Comparative statics; Biomass (ecology); Environmental science; Carbon fibers; Organic matter; Pulp and paper industry; Ecology; Mathematics; Economics; Biology; Carbon dioxide; Engineering","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":[0.0005832749,0.000177604,0.0004023829,0.0002789729,0.00004484859,0.00007936943,0.0001969858,0.00006737433,0.00006025907],"category_scores_gemma":[0.00005420842,0.000174676,0.0001324922,0.0002796313,0.0001444816,0.0007754509,0.00008823572,0.0002040629,0.00002140354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421681,"about_ca_system_score_gemma":0.00002649408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214552,"about_ca_topic_score_gemma":0.01952136,"domain_scores_codex":[0.9986109,0.00006703419,0.0006909089,0.0001360675,0.0001303519,0.0003647448],"domain_scores_gemma":[0.9989588,0.000140134,0.0005417896,0.0001733591,0.0000148021,0.000171104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003524272,0.00006311562,0.5833083,0.000003900961,0.00008403321,0.00001254327,0.001353123,0.4145798,0.00001955299,0.0004352115,0.00006070554,0.00004443545],"study_design_scores_gemma":[0.0008571705,0.0001618549,0.7588004,0.00001576965,0.0002880923,0.00001950006,0.0004922395,0.2362241,0.00009284067,0.0003505628,0.002423536,0.0002740094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899892,0.00004497431,0.0001101844,0.00008594105,0.0001563142,0.0001523892,0.00000453936,0.000007127435,0.009449348],"genre_scores_gemma":[0.9947386,0.00006101749,0.004792072,0.00007836767,0.0001477728,0.000004142878,0.00001067339,0.00001373764,0.000153585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1783557,"threshold_uncertainty_score":0.9983698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217126765352515,"score_gpt":0.2660569132719365,"score_spread":0.2238856456184113,"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."}}