{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001053864,0.000128838,0.0001483841,0.000006843752,0.0002879578,0.00003184405,0.0004264315,0.0004412153,0.0001290011],"category_scores_gemma":[0.00008115274,0.00004755566,0.00006666836,0.0001516983,0.00009048859,0.00002707993,0.0001000918,0.0003202989,0.000007123503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000968187,"about_ca_system_score_gemma":0.0001347295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02347415,"about_ca_topic_score_gemma":0.08176696,"domain_scores_codex":[0.9991091,0.00001997312,0.0001993001,0.0003002785,0.00006971013,0.0003015726],"domain_scores_gemma":[0.9996116,0.0001535165,0.00006621273,0.00006443376,0.00002799807,0.00007619596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002224637,0.00002041381,0.0007977176,0.000003894857,0.00004667997,0.00000883695,0.00001368835,0.00005311945,0.002228555,0.004565689,0.01290945,0.9791295],"study_design_scores_gemma":[0.0003004813,0.0003246541,0.001668299,0.000001975877,0.000008689191,0.000003116001,0.0008339693,0.000177411,0.01015635,0.000180193,0.986197,0.0001478837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.603134,0.00008899959,0.00004777833,0.3954224,0.000601576,0.0005207943,0.00006965571,0.00007435425,0.00004042589],"genre_scores_gemma":[0.9939991,0.00002261423,0.00004152215,0.004276513,0.001558044,0.00005458294,0.00002306121,9.395569e-7,0.00002360049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9789816,"threshold_uncertainty_score":0.9830287,"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."}}