{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008677416,0.0006506646,0.0003100017,0.003669635,0.0003509165,0.001682129,0.0005605376,0.0005002205,0.001887937],"category_scores_gemma":[0.001170035,0.0001753238,0.0006656573,0.007811859,0.0003588281,0.002199686,0.000976776,0.0005792648,0.0002601768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014678,"about_ca_system_score_gemma":0.0008509946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005833677,"about_ca_topic_score_gemma":0.00647424,"domain_scores_codex":[0.9997454,0.00004592409,0.0000226473,0.00002161086,0.0001264885,0.0000379517],"domain_scores_gemma":[0.9993402,0.0001428913,0.0001323581,0.00002268437,0.0003349434,0.00002683021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006607798,0.0002748688,0.2314138,0.008622785,0.00130461,0.008245341,0.002247495,0.06830269,0.02001242,0.01928671,0.005276456,0.634352],"study_design_scores_gemma":[0.00002872138,0.001170931,0.7929676,0.001864446,0.0007407143,0.003357975,0.01402321,0.03305879,0.01375272,0.01015777,0.128743,0.0001341601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142281,0.02664869,0.007814711,0.00123117,0.00004080426,0.0003402441,0.004332111,0.00005954057,0.04530459],"genre_scores_gemma":[0.9496006,0.03680282,0.007890537,0.0001260418,0.00002261495,0.0001903074,0.00193073,0.00002373179,0.003412654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005833677,"threshold_uncertainty_score":0.01159948,"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."}}