{"id":"W2006902088","doi":"10.1385/abab:113:1-3:027","title":"Pipeline Transport of Biomass","year":2004,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Syncrude","keywords":"Environmental science; Pipeline transport; Biomass (ecology); Softwood; Slurry; Hardwood; Inlet; Waste management; Pulp and paper industry; Combustion; Moisture; Environmental engineering; Engineering; Chemistry; Agronomy; Botany","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":[0.00002733226,0.0001272652,0.0001567584,0.00004571695,0.00001647426,0.000001826656,0.0001495392,0.0004117822,0.00002152114],"category_scores_gemma":[0.000005080938,0.0001206289,0.00002490774,0.0002166757,0.0002475756,0.00001241221,0.00002695683,0.0001156975,0.000005530191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001561565,"about_ca_system_score_gemma":0.00001209034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002619082,"about_ca_topic_score_gemma":4.114567e-7,"domain_scores_codex":[0.9994467,5.127077e-7,0.0001691365,0.0001754774,0.00005529822,0.0001528618],"domain_scores_gemma":[0.9997386,0.0000078148,0.00002650405,0.0001737423,0.00001212958,0.00004122637],"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":[0.00001133949,0.00001959675,0.00001228876,0.0002124798,0.00001609383,0.000002800368,0.0000106863,0.000002876497,0.9953738,0.000927225,0.00004135591,0.003369486],"study_design_scores_gemma":[0.0004068293,0.00001058061,0.000009223526,0.00001321172,0.00001208949,0.00001586912,0.00005776362,0.000003464663,0.99733,0.001465104,0.0005411323,0.0001348063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964029,0.0004554682,0.0008139531,0.0003592373,0.00002507846,0.00005262414,0.00001626306,0.0003745454,0.001499927],"genre_scores_gemma":[0.9988487,0.0001256016,0.0009393443,0.00001942498,0.00001470155,0.000006209117,0.00001765607,0.00001163412,0.00001676192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00323468,"threshold_uncertainty_score":0.4919102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003581989241699909,"score_gpt":0.1729619934523288,"score_spread":0.1693800042106289,"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."}}