{"id":"W4315767522","doi":"10.1016/j.fuel.2022.127319","title":"Bee green: Renewable hydrocarbon fuels from honeycomb residues","year":2023,"lang":"en","type":"article","venue":"Fuel","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Énergie et des Ressources Naturelles; Mitacs","keywords":"Renewable energy; Fossil fuel; Renewable fuels; Heat of combustion; Hydrocarbon; Pyrolysis; Environmental science; Work (physics); Pyrolysis oil; Pulp and paper industry; Waste management; Chemistry; Organic chemistry; Combustion; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005147112,0.0003194755,0.00012075,0.0003863379,0.0002668806,0.000461083,0.0002220058,0.0003261586,0.006412048],"category_scores_gemma":[0.00006188203,0.0000881762,0.0001283195,0.0003572265,0.0001421941,0.0004807752,0.0003279871,0.0005416743,0.001630098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203367,"about_ca_system_score_gemma":0.0001406678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006343144,"about_ca_topic_score_gemma":0.003257111,"domain_scores_codex":[0.9999505,0.000002408652,0.000001338652,0.000008703205,0.00002821813,0.000008801246],"domain_scores_gemma":[0.9999846,0.000002407078,0.000002036506,0.000002360586,0.000003484997,0.000005156802],"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":[0.0002170721,0.0001506495,0.0005663942,0.0004291176,0.00001974088,0.0005829497,0.00006949584,0.0008210863,0.819116,0.008310151,0.0063769,0.1633405],"study_design_scores_gemma":[0.00001892807,0.0001800037,0.002067581,0.00004680928,0.00001475564,0.0005032736,0.0000608096,0.002134692,0.9227713,0.001061787,0.07112738,0.00001279969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8042812,0.01563947,0.03401998,0.001154279,0.001182598,0.0002126632,0.003047596,0.001339644,0.1391226],"genre_scores_gemma":[0.8524478,0.006647105,0.01500784,0.0002278741,0.00006556445,0.0000436218,0.001215146,0.0002987709,0.1240464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006412048,"threshold_uncertainty_score":0.02145046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132979512932194,"score_gpt":0.2031289066567003,"score_spread":0.1917991115273784,"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."}}