{"id":"W3007436816","doi":"10.1089/ind.2020.29202.rla","title":"Forestry for the Future: Delivering on Canada's Bioeconomy Potential","year":2020,"lang":"en","type":"article","venue":"Industrial Biotechnology","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Download; Library science; Suite; Phone; Political science; Forestry; Business; Geography; Archaeology; World Wide Web; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001679056,0.0004464775,0.0002572918,0.001005761,0.008400743,0.007732255,0.0008970316,0.003708653,0.01736713],"category_scores_gemma":[0.002830992,0.000139908,0.00045457,0.001356415,0.002275142,0.002413315,0.002308942,0.003688438,0.001045768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0527802,"about_ca_system_score_gemma":0.2759455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9684,"about_ca_topic_score_gemma":0.9918001,"domain_scores_codex":[0.9978474,0.0001136593,0.00001949198,0.00008889607,0.0009249659,0.001005475],"domain_scores_gemma":[0.9972288,0.0001705407,0.00004754815,0.00004759923,0.001264111,0.001241327],"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":[0.0001204229,0.0001129953,0.007254027,0.0005114871,0.00004034169,0.0004906981,0.002187327,0.0009420559,0.002380276,0.2711268,0.5071336,0.2077],"study_design_scores_gemma":[0.00002076052,0.00003149227,0.007304498,0.0004275294,0.00002379524,0.00009116006,0.00336658,0.0005044658,0.0006013071,0.0191217,0.9684756,0.00003118105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03776608,0.04273802,0.002036308,0.534701,0.0037581,0.00009103449,0.001265119,0.0002458688,0.3773984],"genre_scores_gemma":[0.6000559,0.04389938,0.008708549,0.09409006,0.0007854792,0.00006018186,0.0009700169,0.0001415805,0.2512889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0527802,"threshold_uncertainty_score":0.3829489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0239888962306358,"score_gpt":0.184851185119444,"score_spread":0.1608622888888082,"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."}}