{"id":"W4361804462","doi":"10.4236/jsbs.2023.131003","title":"The Logistics of Production and Supply of Ag Pellets for Industrial Applications in Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Sustainable Bioenergy Systems","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of British Columbia","funders":"","keywords":"Pellets; Pelletizing; Biomass (ecology); Pellet; Environmental science; Truck; Agricultural engineering; Tonne; Stockpile; Information silo; Waste management; Silo; Engineering; Agronomy; Automotive engineering; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004108313,0.0003558072,0.0001773509,0.002296334,0.003716,0.003761071,0.001002424,0.000385031,0.008248072],"category_scores_gemma":[0.001057775,0.0003897318,0.0003814188,0.006470846,0.0007257952,0.0008000455,0.0009062967,0.0004524924,0.001288821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07768794,"about_ca_system_score_gemma":0.07779127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938689,"about_ca_topic_score_gemma":0.9965192,"domain_scores_codex":[0.9991232,0.00003322056,0.0000304175,0.0001120576,0.0003707886,0.0003304514],"domain_scores_gemma":[0.9984601,0.00009640687,0.0001369442,0.0000377457,0.001016655,0.0002522003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007099159,0.0003936257,0.6067585,0.000828269,0.0001449331,0.00353789,0.007676497,0.02701602,0.01925818,0.0239605,0.0239671,0.2857485],"study_design_scores_gemma":[0.00002513936,0.0002127506,0.7881975,0.0002556554,0.00006763195,0.0005254276,0.02649511,0.01609906,0.00652301,0.001235253,0.1602041,0.00015942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8924549,0.001846706,0.004428895,0.001058308,0.00003343703,0.0003429403,0.01159224,0.0002884098,0.08795416],"genre_scores_gemma":[0.9186158,0.002012346,0.006987293,0.0002419364,0.000005312152,0.00006328363,0.00561494,0.0001117398,0.06634738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07768794,"threshold_uncertainty_score":0.5636681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549184394941256,"score_gpt":0.2048334420648034,"score_spread":0.1893415981153909,"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."}}