{"id":"W6920642381","doi":"10.6084/m9.figshare.16681577.v1","title":"Additional file 1 of 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":"Figshare","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; Canadian Forest Service; University of British Columbia","funders":"","keywords":"Perspective (graphical); Carbon fibers; Greenhouse gas; Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004361111,0.0001241444,0.0002185591,0.000008727921,0.0001596831,0.000311395,0.0001198716,0.0002189115,0.5659925],"category_scores_gemma":[0.003396447,0.00009476251,0.0000493674,0.0002271,0.00003851116,0.0002289128,0.0001123037,0.0001744096,0.000007141481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001074496,"about_ca_system_score_gemma":0.000560389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006743323,"about_ca_topic_score_gemma":0.0147718,"domain_scores_codex":[0.9988669,0.00004398227,0.0002059518,0.0005308018,0.0001064738,0.0002459289],"domain_scores_gemma":[0.9984241,0.0004687358,0.0001325908,0.00007579836,0.0008060837,0.0000926499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003102818,0.00007863519,0.00009826205,0.0001477578,0.0000302422,0.000009347347,0.0001137084,7.577664e-7,0.00005950199,0.000006961629,0.9934272,0.005996555],"study_design_scores_gemma":[0.0003807626,0.0002728168,0.07284722,0.0005378097,0.000007816765,0.00001141862,0.007439572,0.0000177754,0.0002624106,0.0002612931,0.9176844,0.000276732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1383105,0.00009566692,7.511165e-9,0.0006583717,0.00003523461,0.0005490956,0.8595989,0.00003707491,0.0007151114],"genre_scores_gemma":[0.1387571,0.000001725704,0.0003635079,0.00007165685,0.0002879349,0.001578843,0.8550489,0.000003572833,0.003886743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5659853,"threshold_uncertainty_score":0.8243009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136945851502553,"score_gpt":0.2174196227310379,"score_spread":0.1860501642160123,"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."}}