{"id":"W2157753571","doi":"10.1111/j.1530-9290.2012.00503.x","title":"Biogenic Carbon and Temporary Storage Addressed with Dynamic Life Cycle Assessment","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":291,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Carbon footprint; Environmental science; Carbon fibers; Carbon sequestration; Carbon cycle; Climate change; Biomass (ecology); Carbon neutrality; Time horizon; Environmental economics; Natural resource economics; Environmental resource management; Production (economics); Computer science; Business; Carbon dioxide; Economics; Ecology; Ecosystem","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008311151,0.0004497817,0.0004365894,0.0005827973,0.0003932677,0.0012881,0.0008606304,0.001096936,0.001893508],"category_scores_gemma":[0.002759383,0.0003721724,0.0006136526,0.0007255276,0.0004608525,0.002191674,0.0006655973,0.0005386983,0.00006927612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121835,"about_ca_system_score_gemma":0.00140978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735176,"about_ca_topic_score_gemma":0.01544704,"domain_scores_codex":[0.9998574,0.00004631375,0.000008070705,0.00002748619,0.00003050207,0.00003014947],"domain_scores_gemma":[0.9991315,0.0005273826,0.00009168911,0.00006415416,0.0001348948,0.00005028252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006116835,0.00003426273,0.006695416,0.00003407185,0.0000552766,0.0001122078,0.00002687987,0.9758683,0.001593515,0.00609565,0.0002306179,0.00919259],"study_design_scores_gemma":[0.000005320131,0.00001967284,0.001639161,0.000005902742,0.00001911859,0.00001618824,0.00003114556,0.9921591,0.0007169537,0.005118314,0.0002597738,0.000009409239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010932,0.0004886305,0.08646905,0.0009181651,0.00006436168,0.00007289302,0.0007028329,0.0001059673,0.01008499],"genre_scores_gemma":[0.9965529,0.00007706846,0.002532027,0.0000203484,0.000007206416,0.00001601493,0.00007198081,0.000009786453,0.0007125884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735176,"threshold_uncertainty_score":0.03450149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01551448424535934,"score_gpt":0.258596956467993,"score_spread":0.2430824722226336,"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."}}