{"id":"W1532871623","doi":"","title":"Towards Developing a Comprehensive Carbon Accounting Framework for Forests in British Columbia","year":2000,"lang":"en","type":"preprint","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; International Institute for Applied Systems Analysis","keywords":"Kyoto Protocol; Carbon accounting; Carbon sink; Work (physics); Accounting; Forestry; Carbon credit; Carbon fibers; Environmental resource management; Greenhouse gas; Business; Environmental science; Geography; Climate change; Engineering; Computer science; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005184108,0.000349322,0.001086432,0.0002146003,0.0001224273,0.000463642,0.0009245837,0.0005382806,0.0002859447],"category_scores_gemma":[0.00007557146,0.0005189763,0.000453985,0.0005644725,0.0003076234,0.0002113826,0.0008148851,0.0005281619,0.000006873916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00175561,"about_ca_system_score_gemma":0.0001278175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1245604,"about_ca_topic_score_gemma":0.1947561,"domain_scores_codex":[0.9963829,0.00004305987,0.001209594,0.0009807057,0.0009172772,0.0004664754],"domain_scores_gemma":[0.9984798,0.0000831957,0.0007119004,0.0005499952,0.00006255181,0.0001125947],"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":[0.0000820286,0.0002251511,0.3302772,0.0004623299,0.001493268,0.0000418229,0.0006882061,0.6608524,0.00008719951,0.001464824,0.0002236659,0.004101876],"study_design_scores_gemma":[0.001029543,0.0000330113,0.8954895,0.0007991549,0.0007311808,0.00001269034,0.001210972,0.05911725,0.00004268933,0.02914945,0.01114647,0.001238126],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806597,0.0001219645,0.00867705,0.00007873898,0.0008328904,0.001643633,0.0002269714,0.00003987004,0.00771916],"genre_scores_gemma":[0.9915533,0.00008000909,0.006843593,0.0000773891,0.0001868422,0.0004649321,0.0004845052,0.00003513047,0.0002742753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6017352,"threshold_uncertainty_score":0.9997262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613758739738977,"score_gpt":0.2685852204017884,"score_spread":0.2524476330043987,"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."}}