{"id":"W3213091122","doi":"10.32920/ryerson.14668032.v1","title":"An Assessment Of Microalgal Biodiesel With Acetone, Butanol and Ethanol Using LIfe Cycle Assessment (LCA) Methodology","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Algal biology and biofuel production","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Royal Military College of Canada","funders":"Sustainable Development Technology Canada; National Renewable Energy Laboratory; Royal Roads University","keywords":"Biofuel; Greenhouse gas; Life-cycle assessment; Biodiesel; Fossil fuel; Renewable energy; Environmental science; Production (economics); Renewable resource; Butanol; Waste management; Renewable fuels; Biodiesel production; Engineering; Chemistry; Economics; Ethanol; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001270219,0.0009190816,0.0003915469,0.0009243653,0.0005135696,0.001010961,0.0004351682,0.0006725874,0.0006745238],"category_scores_gemma":[0.0007000383,0.0001950473,0.001172237,0.001125845,0.0003089097,0.0007936606,0.0006901007,0.0004616136,0.0003036463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880683,"about_ca_system_score_gemma":0.001113421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008848074,"about_ca_topic_score_gemma":0.01291898,"domain_scores_codex":[0.9989453,0.0001505719,0.00006220492,0.0001255894,0.0006422196,0.00007414515],"domain_scores_gemma":[0.9997025,0.00005896427,0.00004354483,0.00002818897,0.0001542909,0.00001251712],"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":[0.0006987505,0.000443526,0.03965468,0.000936029,0.0002755382,0.0003333856,0.0001301008,0.06070219,0.8197439,0.002580998,0.0003556799,0.07414516],"study_design_scores_gemma":[0.00002229277,0.001261749,0.02681009,0.00007333949,0.000130278,0.0001292122,0.0001842537,0.05112214,0.9117523,0.001292897,0.007164089,0.0000573642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9380379,0.003871946,0.04327395,0.0001619962,0.00004246,0.0003654949,0.002554511,0.0001217773,0.01157001],"genre_scores_gemma":[0.9611492,0.003105651,0.03150688,0.00007004487,0.000005565035,0.0002519165,0.001264372,0.00003113218,0.002615225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008848074,"threshold_uncertainty_score":0.01759315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07385168895249353,"score_gpt":0.3835257163550138,"score_spread":0.3096740274025203,"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."}}