{"id":"W7133451967","doi":"","title":"Bioenergy for reducing greenhouse-gas emissions","year":2005,"lang":"en","type":"other","venue":"RUNE (Research UNE)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioenergy; Greenhouse gas; Renewable energy; Bio-energy with carbon capture and storage; Fossil fuel; Carbon sequestration; Biomass (ecology); Work (physics); Carbon capture and storage (timeline)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002340661,0.0007458274,0.0008831623,0.003063795,0.0005675869,0.0001767853,0.001680747,0.0009771661,0.01743537],"category_scores_gemma":[0.001211429,0.0007061299,0.000414928,0.00232713,0.0006854162,0.0001186266,0.000590517,0.001527333,0.01844725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000694078,"about_ca_system_score_gemma":0.001166716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01438954,"about_ca_topic_score_gemma":0.005037043,"domain_scores_codex":[0.992508,0.0005361364,0.0005883701,0.001552391,0.002181622,0.002633504],"domain_scores_gemma":[0.9955732,0.0006587069,0.000288942,0.002142104,0.000418924,0.0009180867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006653427,0.0003467663,0.000006928989,0.0001986654,0.000244887,0.00003941845,0.000140393,0.0000408773,0.009388928,0.001999277,0.9647921,0.02273519],"study_design_scores_gemma":[0.001112005,0.00020465,0.000009619455,0.0009879373,0.00004927427,0.00001441796,0.00009850351,0.0003642206,0.001397104,0.0002675579,0.9947701,0.0007246049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009894739,0.005546564,0.000171786,0.003329052,0.0005222224,0.002778356,0.002539592,0.002182749,0.9828307],"genre_scores_gemma":[0.0006770801,0.001265866,0.004535927,0.00004948329,0.004108814,0.0006734801,0.0008025403,0.005131272,0.9827555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02997797,"threshold_uncertainty_score":0.999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1095992767012651,"score_gpt":0.4135751349727791,"score_spread":0.303975858271514,"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."}}