{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004175436,0.001044342,0.0008427001,0.001371736,0.001186041,0.001574375,0.0008735075,0.001195429,0.02486888],"category_scores_gemma":[0.0006185259,0.0005272984,0.0008669466,0.001152752,0.0003335308,0.00279465,0.001534878,0.001332249,0.007240026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001873958,"about_ca_system_score_gemma":0.001658382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003902296,"about_ca_topic_score_gemma":0.002202053,"domain_scores_codex":[0.9995878,0.00002058152,0.00001471693,0.0001422292,0.0001143575,0.0001201485],"domain_scores_gemma":[0.9997432,0.00003958137,0.00002661808,0.00006364578,0.00009838173,0.00002876136],"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":[0.001874954,0.0003927229,0.003886189,0.0009393131,0.00008070259,0.0007003967,0.0004138311,0.01837424,0.7483286,0.03815168,0.02450047,0.162357],"study_design_scores_gemma":[0.000164728,0.001808084,0.00414985,0.0000756544,0.00007488432,0.0005045458,0.000341665,0.1570815,0.6756835,0.01701745,0.1429894,0.0001087826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5369224,0.00190924,0.3251763,0.002381156,0.001424222,0.0008512814,0.009662349,0.01291744,0.1087555],"genre_scores_gemma":[0.8949471,0.0006643138,0.02206099,0.0002200147,0.00007972062,0.0002056215,0.005444794,0.0004221329,0.07595526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02486888,"threshold_uncertainty_score":0.08319467,"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."}}