{"id":"W6990896201","doi":"","title":"Enhancement of fast pyrolysis oil fuel properties through co-pyrolysis and improved analysis","year":2019,"lang":"en","type":"other","venue":"Memorial University Research Repository (Memorial University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; BioFuelNet Canada","keywords":"Distillation; Retort; Refining (metallurgy); Pyrolysis; Fusible alloy; Work (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589582,0.0004250975,0.0003162122,0.0003074803,0.0001282342,0.0003017509,0.0002442102,0.0002879471,0.0004712483],"category_scores_gemma":[0.0002682367,0.0001484722,0.0003467205,0.000401583,0.0001340758,0.0004646221,0.0002683651,0.0003970423,0.0001745016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645454,"about_ca_system_score_gemma":0.0001843973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008282744,"about_ca_topic_score_gemma":0.001822726,"domain_scores_codex":[0.9997494,0.00002172489,0.0000112533,0.00004899208,0.000130739,0.00003800284],"domain_scores_gemma":[0.9998704,0.00003241506,0.00002572266,0.00001303979,0.00005022857,0.000008173402],"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":[0.00009423152,0.00002830685,0.0004731375,0.00006134628,0.000005939909,0.00003556957,0.00001066781,0.0004929524,0.9917682,0.00007757175,0.00001321073,0.006938774],"study_design_scores_gemma":[0.000001630357,0.00004003211,0.0007121616,0.000001400486,0.000004017877,0.00002437343,0.000004468019,0.001731262,0.9971717,0.00001301987,0.0002934206,0.000002446387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636065,0.00121942,0.03355711,0.0000355531,0.00002489232,0.00004266112,0.0002412313,0.00009952569,0.001173068],"genre_scores_gemma":[0.9781073,0.0008181978,0.01871247,0.00001188365,0.000004238917,0.00002903055,0.0002056938,0.00003698919,0.002074264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008282744,"threshold_uncertainty_score":0.001919389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953215105339093,"score_gpt":0.2584613866842357,"score_spread":0.2289292356308447,"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."}}