{"id":"W2755817713","doi":"10.1007/978-3-319-58374-7_6","title":"Innovation Under the Bioeconomy Context in Brazil","year":2017,"lang":"en","type":"book-chapter","venue":"Economic complexity and evolution","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Trent University","funders":"","keywords":"Biomass (ecology); Raw material; Context (archaeology); Biofuel; Macro; Engineering; Biochemical engineering; Nanotechnology; Environmental science; Business; Waste management; Materials science; Geography; Computer science; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004529798,0.0002021662,0.0002750233,0.00003542196,0.0004633162,0.0001288021,0.000245704,0.0002388925,0.001032344],"category_scores_gemma":[0.000008503069,0.00009303979,0.00006128623,0.00001123693,0.0004444733,0.0001734389,0.0001479311,0.0002456529,0.0001383059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314365,"about_ca_system_score_gemma":0.00007130975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322803,"about_ca_topic_score_gemma":0.02483852,"domain_scores_codex":[0.9989634,0.00002291717,0.0004031533,0.0003785028,0.00003794527,0.0001940766],"domain_scores_gemma":[0.9994311,0.00009439881,0.0002779707,0.0001261659,0.00003546135,0.00003485962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002169637,0.000008195009,0.001980219,0.00000893386,0.00001724446,4.395237e-7,0.00003853568,0.000002992104,0.000005717085,0.9233302,0.001073634,0.0735122],"study_design_scores_gemma":[0.0001210481,0.00003334009,0.2357044,0.00002115643,0.000004729609,0.000004198411,0.0001792087,0.0001076297,0.000001604489,0.3864669,0.3771547,0.0002011003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4690863,0.001418945,0.00002548232,0.05492405,0.0008554003,0.001350073,0.0002382196,0.00007647013,0.472025],"genre_scores_gemma":[0.9482239,0.00008217889,0.00001263615,0.000817309,0.0002561745,0.00001896706,0.0001665739,0.000001614214,0.05042057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5368633,"threshold_uncertainty_score":0.9998809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924104905834232,"score_gpt":0.2395003054720226,"score_spread":0.1902592564136802,"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."}}