{"id":"W3129146825","doi":"10.1016/j.apenergy.2021.116587","title":"Life-cycle analysis of drop-in biojet fuel produced from British Columbia forest residues and wood pellets via fast-pyrolysis","year":2021,"lang":"en","type":"article","venue":"Applied Energy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pyrolysis; Jet fuel; Environmental science; Raw material; Pellets; Waste management; Biomass (ecology); Pulp and paper industry; Petroleum; Carbon fibers; Materials science; Engineering; Chemistry; Agronomy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001979749,0.0003631593,0.000269416,0.0007062875,0.0006513409,0.0004186564,0.00028498,0.0002543241,0.001733266],"category_scores_gemma":[0.0001859383,0.0001323419,0.0002913928,0.0004785414,0.0001696657,0.000321553,0.0001391934,0.0002614564,0.000338913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930874,"about_ca_system_score_gemma":0.0008036293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06938326,"about_ca_topic_score_gemma":0.1408654,"domain_scores_codex":[0.9998561,0.000006094555,0.000007349186,0.00002488299,0.00006712446,0.00003839701],"domain_scores_gemma":[0.9998623,0.00002364896,0.0000147262,0.000006139319,0.000081609,0.00001147231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002392672,0.0002036776,0.02720022,0.0002997689,0.00008128992,0.0003769263,0.0001469034,0.008682361,0.9276806,0.000215476,0.0003900153,0.03233014],"study_design_scores_gemma":[0.00002255249,0.0006185332,0.07921522,0.00002653177,0.00008001861,0.0000664937,0.0001859144,0.01005442,0.9079568,0.00006522531,0.001681073,0.00002722296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973184,0.0002372267,0.0003974649,0.000007944988,0.000004248244,0.00002000525,0.0008669257,0.0000175794,0.001130194],"genre_scores_gemma":[0.9970799,0.0002060798,0.0003031928,0.000005400849,4.986798e-7,0.00001258005,0.0005002812,0.000008758062,0.001883288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306167,"threshold_uncertainty_score":0.1379588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003475158947759176,"score_gpt":0.1649758109463625,"score_spread":0.1615006519986033,"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."}}