{"id":"W2051973903","doi":"10.1089/ind.2007.3.133","title":"Agriculture and forestry for energy, chemicals, and materials: The road forward","year":2007,"lang":"en","type":"article","venue":"Industrial Biotechnology","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"","keywords":"Agriculture; Business; Natural resource economics; Commodity; Biomass (ecology); Chemical industry; Petroleum; Agricultural economics; Economics; Environmental science; Finance; Environmental engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003243269,0.000117074,0.000134256,0.00001435686,0.0001989051,0.00004854465,0.0001592288,0.0005898571,0.00002253104],"category_scores_gemma":[0.00008380757,0.0000370642,0.0000271645,0.000170228,0.0002233651,0.00003581701,0.0001503439,0.0001292606,9.297536e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001145789,"about_ca_system_score_gemma":0.000002525233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003085296,"about_ca_topic_score_gemma":0.0002743862,"domain_scores_codex":[0.9992167,0.00001660038,0.0001723783,0.0002816815,0.00006191631,0.0002507078],"domain_scores_gemma":[0.9997355,0.00005821207,0.00007560262,0.00006045908,0.00002329969,0.00004687292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006038442,0.00001667196,0.00003195944,0.000001905605,0.00001697329,8.56462e-7,0.000005355683,4.955456e-8,0.5046296,0.01791878,0.007113548,0.470204],"study_design_scores_gemma":[0.0002137354,0.0001296308,0.0008580982,0.000003891987,0.00001294297,0.00001647736,0.0002357914,0.000001021055,0.3820632,0.00113142,0.6152433,0.0000905305],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501322,0.0003460409,0.00008647402,0.04847812,0.0003981002,0.0002841177,0.00003103327,0.0001212313,0.00012267],"genre_scores_gemma":[0.9977076,0.0002455034,0.00009808561,0.0005040167,0.0008708444,0.00002890396,0.00003758886,0.000001039888,0.0005064128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6081297,"threshold_uncertainty_score":0.4549518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220960250687832,"score_gpt":0.2143222857720712,"score_spread":0.1921126832651929,"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."}}