{"id":"W3200122150","doi":"10.1186/s13021-021-00193-4","title":"Inward- versus outward-focused bioeconomy strategies for British Columbia’s forest products industry: a harvested wood products carbon storage and emission perspective","year":2021,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Pacific Institute for Climate Solutions; Canadian Forest Service; University of British Columbia","funders":"Natural Resources Canada; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Baseline (sea); Climate change; Environmental science; Population; Natural resource economics; Biofuel; Consumption (sociology); Agricultural economics; Business; Forestry; Geography; Engineering; Economics; Ecology; Waste management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002231515,0.000172815,0.0002711068,0.00001308196,0.0001875182,0.0005851879,0.0001111019,0.00015636,0.0000101591],"category_scores_gemma":[0.00006872715,0.0001317857,0.00003206998,0.0002196085,0.0001135574,0.0001738259,0.0001772082,0.0001544139,2.237926e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000125788,"about_ca_system_score_gemma":0.00008616568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002733019,"about_ca_topic_score_gemma":0.0144473,"domain_scores_codex":[0.998466,0.00004803987,0.0002160123,0.0007995408,0.0001077687,0.0003627058],"domain_scores_gemma":[0.9994189,0.00003708266,0.00008471413,0.0001160996,0.0002310846,0.000112111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001571878,0.001852729,0.4837989,0.005507117,0.001824899,0.000723803,0.005638589,0.00004191013,0.01055121,0.01606531,0.01760945,0.4548142],"study_design_scores_gemma":[0.003522852,0.0008739203,0.6821712,0.0002312109,0.0001510487,0.00002433524,0.05115226,0.0002459819,0.0007171411,0.003492853,0.25627,0.001147218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909526,0.001023292,0.000001236649,0.004286376,0.0002468506,0.001170459,0.00002518275,0.00006488861,0.002229146],"genre_scores_gemma":[0.9951453,0.0003644596,0.0002904731,0.000186975,0.0001680785,0.0002591326,0.00005970244,0.000003182559,0.003522741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.453667,"threshold_uncertainty_score":0.8061932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679275200254787,"score_gpt":0.2153335580970188,"score_spread":0.1985408060944709,"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."}}