{"id":"W762236679","doi":"10.1016/j.fuproc.2015.06.022","title":"The effects of weathering on the pyrolysis of low-carbon fuels: Railway ties and asphalt shingles","year":2015,"lang":"en","type":"article","venue":"Fuel Processing Technology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institute of Standards and Technology; National Institutes of Health; Ontario Centres of Excellence","keywords":"Pyrolysis; Weathering; Sulfur; Asphaltene; Chemistry; Asphalt; Lignin; Carbon fibers; Environmental chemistry; Organic chemistry; Pulp and paper industry; Materials science; Composite material; Geology; Geochemistry","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":[0.0002153523,0.0001579458,0.0002273131,0.0001263976,0.00005995291,0.00002260703,0.0004236462,0.0001877304,0.000001730137],"category_scores_gemma":[0.0007544454,0.00009597198,0.00002901524,0.0004428055,0.0004627416,0.0000575228,0.0001234514,0.0002145044,0.000001486184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002581017,"about_ca_system_score_gemma":0.00002783298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002583841,"about_ca_topic_score_gemma":0.000001910596,"domain_scores_codex":[0.9992173,0.00001997561,0.0002286442,0.0001560062,0.00016876,0.0002092545],"domain_scores_gemma":[0.9991214,0.0003424455,0.0001137948,0.000291815,0.00009677043,0.00003379822],"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":[0.00004908044,0.00003660819,0.0005370212,0.002601698,0.00009752298,0.000003361868,0.001224277,0.00002874029,0.9255316,0.001425874,0.00009098281,0.06837324],"study_design_scores_gemma":[0.000245143,0.00008878652,0.00002770174,0.0003512483,0.00002606534,0.000003696049,0.0008387701,0.000666539,0.9857447,0.01161755,0.0002771793,0.0001126123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804017,0.01745581,0.0000699876,0.0005691333,0.0001124838,0.0001224527,8.852892e-7,0.0003446691,0.0009228857],"genre_scores_gemma":[0.9994831,0.0002257914,0.0001778379,0.00001473754,0.0000165975,0.00002836238,3.214136e-7,0.0000274891,0.00002573907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06826063,"threshold_uncertainty_score":0.3913624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007808468913985345,"score_gpt":0.1944801485177569,"score_spread":0.1866716796037715,"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."}}