{"id":"W3141445267","doi":"","title":"Mitigating Land Use Changes From Biofuel Expansion: An Assessment of Biofuel Feedstock Yield Potential in APEC Economies","year":2009,"lang":"en","type":"article","venue":"2010 Annual Meeting, July 25-27, 2010, Denver, Colorado","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biofuel; Raw material; Yield (engineering); Natural resource economics; Agricultural economics; Economics; Land use, land-use change and forestry; Environmental science; Land use; Pulp and paper industry; Business; Waste management; Engineering; Ecology; Biology; Materials 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004201549,0.0004850587,0.0006172254,0.0003881306,0.0001424297,0.0001498345,0.0004188304,0.0004671484,0.000265557],"category_scores_gemma":[0.00008820692,0.0004835398,0.0001347052,0.0002915663,0.0001448727,0.0008683995,0.0001155344,0.0005994031,0.0001148217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244682,"about_ca_system_score_gemma":0.00006134799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605681,"about_ca_topic_score_gemma":0.0009858506,"domain_scores_codex":[0.9975673,0.0001152639,0.0007048185,0.0006583114,0.0003536925,0.0006006373],"domain_scores_gemma":[0.9986018,0.0001083597,0.0003049461,0.0005739912,0.0001549812,0.0002559257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006308474,0.002097055,0.2189789,0.001439321,0.0004799625,0.0001596448,0.008747258,0.003946575,0.6174268,0.0001331867,0.1139679,0.03199267],"study_design_scores_gemma":[0.005843518,0.002541454,0.7671067,0.001248545,0.0002925017,0.00007059515,0.006489649,0.02556785,0.1392524,0.000997311,0.04715621,0.003433264],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914056,0.0005580253,0.0000847235,0.0007716311,0.005548261,0.0005155866,0.0002868871,0.000318028,0.0005112421],"genre_scores_gemma":[0.9925022,0.0005592302,0.004814142,0.0002767456,0.000726785,0.00001682317,0.0001370551,0.00006039991,0.000906658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5481278,"threshold_uncertainty_score":0.9997616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654261546294845,"score_gpt":0.2431838025497469,"score_spread":0.2266411870867984,"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."}}