{"id":"W2898702940","doi":"10.1051/e3sconf/20186100016","title":"Design and development of a novel centrifuge ablative pyrolysis approach for biomass conversion to bio-oil and bio-char","year":2018,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Government of Canada","keywords":"Pyrolysis; Biomass (ecology); Pyrolysis oil; Char; Centrifuge; Process engineering; Materials science; Waste management; Environmental science; Engineering","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":[0.000167194,0.0001550487,0.0002707077,0.0001613358,0.000049002,0.00001613991,0.0001392913,0.00009196898,0.0000442608],"category_scores_gemma":[0.00004280112,0.0001343564,0.00002141377,0.0001959977,0.0002048573,0.00007650782,0.0000613734,0.00003023665,0.000001775071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001585204,"about_ca_system_score_gemma":0.0001621117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006278848,"about_ca_topic_score_gemma":0.000001240973,"domain_scores_codex":[0.9992028,0.00001107589,0.000258675,0.0002192152,0.0001363057,0.0001718861],"domain_scores_gemma":[0.9994015,0.0001391353,0.00008055375,0.0000926143,0.0001883033,0.0000978614],"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":[0.0001147324,0.00004309944,0.0005238885,0.0004466301,0.0001299654,9.814122e-8,0.001279928,0.000004687937,0.9862803,0.0002151892,0.00008782285,0.01087372],"study_design_scores_gemma":[0.0007397867,0.0001091456,0.0001795365,0.00006601068,0.00002646096,6.418911e-7,0.0005284565,0.00564493,0.9905211,0.00002634317,0.001985387,0.0001721593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8687158,0.0003077823,0.1300211,0.0000560273,0.00006272936,0.0001904014,0.00003176279,0.00005464844,0.0005597519],"genre_scores_gemma":[0.9335409,0.00004191036,0.06633271,0.000009736911,0.00001293021,0.00001847387,0.000008939674,0.00001029204,0.00002407892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06482518,"threshold_uncertainty_score":0.5478895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021096486625167,"score_gpt":0.2310271046411533,"score_spread":0.2008161397749016,"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."}}