{"id":"W4401587793","doi":"10.1016/j.scitotenv.2024.175540","title":"Determinants of carbon sequestration in thinned forests","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Carbon sequestration; Environmental science; Carbon fibers; Agroforestry; Materials science; Carbon dioxide; Biology; Ecology; Composite material","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":[0.0007344236,0.00008032283,0.00007956227,0.00004289183,0.00006471721,0.00001748024,0.000580873,0.00001939632,0.0002562924],"category_scores_gemma":[0.00001878791,0.00004364995,0.00004402619,0.0003878759,0.001336678,0.0001783538,0.0004717476,0.00007294631,0.00007941871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357872,"about_ca_system_score_gemma":0.000016493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000860676,"about_ca_topic_score_gemma":0.00004981256,"domain_scores_codex":[0.9988821,0.00003538941,0.0001992142,0.0001826027,0.000506293,0.0001944494],"domain_scores_gemma":[0.9995102,0.00002448417,0.00006778707,0.0003719011,8.638939e-7,0.00002476887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00005951714,0.0002858218,0.07570488,0.0001273943,0.00001757659,0.00001212939,0.008649155,0.5898634,0.2975703,0.006709261,0.0005207778,0.02047974],"study_design_scores_gemma":[0.0001486128,0.0001310533,0.7286878,0.00009397962,0.00002469821,0.000006551978,0.00006325173,0.1966528,0.06784145,0.006072168,0.000119844,0.0001577855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893183,0.0000310302,0.000001326283,0.0004239688,0.0001363733,0.0002295887,0.000001566152,0.000006332043,0.009851574],"genre_scores_gemma":[0.9977514,0.00001636067,0.00004718891,0.000007341499,0.00001161798,0.00000755971,1.503257e-7,0.00000474582,0.002153598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.652983,"threshold_uncertainty_score":0.4925045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009895669964008633,"score_gpt":0.2354420588878741,"score_spread":0.2255463889238654,"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."}}