{"id":"W2342783298","doi":"10.1016/j.foreco.2016.04.038","title":"The legacy of disturbance on individual tree and stand-level aboveground biomass accumulation and stocks in primary mountain Picea abies forests","year":2016,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Seventh Framework Programme; Česká Zemědělská Univerzita v Praze; Grantová Agentura České Republiky; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; SCIEX","keywords":"Disturbance (geology); Biomass (ecology); Picea abies; Canopy; Environmental science; Ecology; Old-growth forest; Ecosystem; Forest ecology; Forest dynamics; Competition (biology); Stand development; Taiga; Biology; Agroforestry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004453742,0.0002000075,0.0002613468,0.0007297995,0.0005250979,0.001079295,0.0004004576,0.0003224162,0.001372293],"category_scores_gemma":[0.001339227,0.0002633458,0.0002381004,0.0007016908,0.0007424619,0.0006315861,0.000848309,0.0002910749,0.0001970179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005662976,"about_ca_system_score_gemma":0.0002858821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03221076,"about_ca_topic_score_gemma":0.09890901,"domain_scores_codex":[0.9998478,0.00003199172,0.00001415021,0.00003832476,0.00002307587,0.0000445505],"domain_scores_gemma":[0.9987197,0.0003731414,0.0002858051,0.0001534449,0.0001476219,0.0003203122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001787347,0.00004582003,0.9943392,0.0000114506,0.0001206038,0.0001052001,0.0002517229,0.0002246529,0.001423483,0.00006019967,0.00005277184,0.003186282],"study_design_scores_gemma":[4.322458e-7,0.000004354293,0.9998481,7.071986e-7,0.000003972297,0.00001417306,0.00004585546,0.00004632648,0.00001166668,0.000008543441,0.00001516848,6.546047e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999668,0.00009411308,0.00001695491,0.000007170634,0.000001763488,5.925496e-7,0.00005809923,0.000001324905,0.0001519225],"genre_scores_gemma":[0.9996784,0.00003792523,0.00001517518,0.000007152037,0.000004522371,9.67133e-7,0.00010231,0.000001140715,0.0001523819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03221076,"threshold_uncertainty_score":0.06404656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638450066615981,"score_gpt":0.2380107414608055,"score_spread":0.2216262407946457,"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."}}