{"id":"W1971461038","doi":"10.1385/abab:129:1:88","title":"Rail vs Truck Transport of Biomass","year":2006,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of British Columbia","keywords":"Truck; Transshipment (information security); Biomass (ecology); Transport engineering; Obstacle; Offset (computer science); Environmental science; Unit (ring theory); Agricultural engineering; Engineering; Operations research; Computer science; Automotive engineering; Ecology; Mathematics; Geography","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":[0.00003048607,0.0001129305,0.000132468,0.00006374555,0.00002029106,0.000003225597,0.00009961448,0.0002788188,0.00002487921],"category_scores_gemma":[0.000001019089,0.0001097969,0.0000240274,0.0001945594,0.0001731582,0.000009640682,0.00002087269,0.00006030364,0.000003638777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009828867,"about_ca_system_score_gemma":0.000003617738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007639066,"about_ca_topic_score_gemma":0.00000706215,"domain_scores_codex":[0.9994802,9.263722e-7,0.0001727745,0.000152234,0.00005273517,0.0001411475],"domain_scores_gemma":[0.9997772,0.000003876951,0.00002603156,0.0001658937,0.000007108218,0.0000198951],"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":[0.00001090642,0.00002319579,0.0003693607,0.0002150863,0.00001994855,0.000002552407,0.000004005333,0.00001762635,0.9779097,0.01818454,0.000713011,0.002530103],"study_design_scores_gemma":[0.0002919235,0.00001147445,0.0007901568,0.000005524581,0.00001238257,0.000004728149,0.00003105063,0.0001162173,0.9828144,0.0006682259,0.01513489,0.0001190786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805929,0.0002609451,0.002185371,0.0002545413,0.00004307833,0.00009839929,0.0000150046,0.0004139011,0.01613585],"genre_scores_gemma":[0.9991173,0.00007967129,0.0005580104,0.00001571132,0.0000185523,0.00001055576,0.00005128193,0.00001055863,0.0001383911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01852435,"threshold_uncertainty_score":0.4477389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002709092010707603,"score_gpt":0.1615880947055956,"score_spread":0.158879002694888,"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."}}