{"id":"W3092774748","doi":"10.3390/f11101090","title":"The Effect of Harvesting on National Forest Carbon Sinks up to 2050 Simulated by the CBM-CFS3 Model: A Case Study from Slovenia","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS; European Commission","keywords":"Carbon sink; Environmental science; Sink (geography); Forest management; Stock (firearms); Climate change; Carbon sequestration; Biomass (ecology); Greenhouse gas; European union; Carbon fibers; Agroforestry; Ecology; Carbon dioxide; Geography; Business; Mathematics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007881461,0.0009926273,0.0009873507,0.0007232343,0.000895765,0.001670794,0.001280208,0.001667198,0.002159466],"category_scores_gemma":[0.00112525,0.0005143356,0.002003692,0.001205803,0.0009725513,0.0004724476,0.0005773277,0.0009684007,0.0002072277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002624174,"about_ca_system_score_gemma":0.00232739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4000422,"about_ca_topic_score_gemma":0.2084361,"domain_scores_codex":[0.9996799,0.00008767775,0.00001941416,0.00004721297,0.00002721315,0.0001386292],"domain_scores_gemma":[0.9993667,0.0002505645,0.0000553163,0.00004574124,0.0001873519,0.00009432044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00017749,0.00007413808,0.01395105,0.00005206251,0.00007616798,0.0003992195,0.00005076698,0.9823762,0.0006114417,0.0006638296,0.0007456227,0.0008219676],"study_design_scores_gemma":[0.0001766069,0.000120472,0.0217006,0.00004564958,0.0001071837,0.00007553718,0.0005133903,0.9747797,0.0006217364,0.0004124725,0.001396047,0.0000506947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908295,0.0002292014,0.0009493071,0.0001923913,0.0000332914,0.00003276367,0.002638568,0.00008878265,0.00500621],"genre_scores_gemma":[0.9969047,0.0001080817,0.0007331421,0.00004004368,0.000005010626,0.0000302169,0.00139746,0.00002218249,0.0007592296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4000422,"threshold_uncertainty_score":0.7954274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684389392267042,"score_gpt":0.2684534898708772,"score_spread":0.2516095959482068,"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."}}