{"id":"W2990294761","doi":"10.1016/j.fuproc.2019.106292","title":"Improvement of bark pyrolysis oil and value added chemical recovery by pervaporation","year":2019,"lang":"en","type":"article","venue":"Fuel Processing Technology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Pyrolysis; Pyrolysis oil; Pulp and paper industry; Raw material; Chemistry; Acetic acid; Biofuel; Heat of combustion; Acid value; Combustion; Waste management; Materials science; Chemical engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007058229,0.0001551622,0.000242393,0.0001523764,0.000019157,0.00001807729,0.0002014927,0.000306281,0.00006295535],"category_scores_gemma":[0.00005747219,0.000155988,0.00002895168,0.0003980347,0.0001037979,0.0001573216,0.00008816,0.0001639144,0.00001595428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000484794,"about_ca_system_score_gemma":0.00002586165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002118171,"about_ca_topic_score_gemma":1.938165e-7,"domain_scores_codex":[0.9991508,0.00000365439,0.0002579695,0.0002613643,0.0001247913,0.0002013924],"domain_scores_gemma":[0.9995733,0.00002234038,0.00008571821,0.0002118312,0.00006993487,0.00003681523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001387858,0.00001915697,0.000125892,0.000788054,0.00002205945,3.67742e-7,0.00003383496,0.000006280358,0.8911625,0.00003995418,0.0002934571,0.1074945],"study_design_scores_gemma":[0.0003486812,0.0000586622,0.000006250234,0.00007389029,0.000022163,0.00000407245,0.0001181344,0.001352794,0.9949213,0.002028377,0.0008911389,0.0001745951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947318,0.003214729,0.0002754206,0.000286452,0.00007167927,0.00004836406,0.000009586125,0.0005063958,0.000855608],"genre_scores_gemma":[0.9979185,0.0001530756,0.001668697,0.00003622704,0.00001147471,0.00001968239,0.000018925,0.00002805988,0.0001453072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1073199,"threshold_uncertainty_score":0.6361006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003059333627316132,"score_gpt":0.1798061666634404,"score_spread":0.1767468330361242,"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."}}