{"id":"W4308973204","doi":"10.3390/f13111898","title":"Integrating Analytical Hierarchical Process and Network Optimization Model to Support Decision-Making on Biomass Terminal Selection","year":2022,"lang":"en","type":"article","venue":"Forests","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Supply chain; Bioenergy; Analytic hierarchy process; Terminal (telecommunication); Environmental economics; Process (computing); Computer science; Quality (philosophy); Biomass (ecology); Supply chain optimization; Supply chain management; Operations research; Risk analysis (engineering); Business; Engineering; Biofuel; Waste management; Economics; Ecology; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003199069,0.00127997,0.001393153,0.001468043,0.001117356,0.002359289,0.001570037,0.001882728,0.003926751],"category_scores_gemma":[0.004863601,0.0007548389,0.001310968,0.001562058,0.0008123778,0.001582649,0.001617732,0.001716153,0.0003490936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002984555,"about_ca_system_score_gemma":0.004035574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02985984,"about_ca_topic_score_gemma":0.02538367,"domain_scores_codex":[0.9986708,0.000691661,0.00005171695,0.0001842424,0.000225989,0.0001756426],"domain_scores_gemma":[0.9966404,0.002565956,0.0002524696,0.00004853504,0.0003807164,0.0001119423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001686709,0.0000206318,0.0001977828,0.0000249258,0.000009701864,0.00003368289,0.00002039182,0.993256,0.00009817954,0.003534868,0.0001143546,0.002672618],"study_design_scores_gemma":[0.000002547237,0.000006237742,0.00001900155,0.000002167691,0.000002477528,0.000001481401,0.000006717543,0.998915,0.00002523988,0.0009539337,0.00006340352,0.000001750742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02797634,0.0002100744,0.9645318,0.0003061442,0.000038113,0.0001614521,0.0001373696,0.0001984121,0.006440313],"genre_scores_gemma":[0.7662695,0.0005142375,0.2281104,0.00009923281,0.0000531678,0.0005631043,0.0002836632,0.00005467482,0.004052034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02985984,"threshold_uncertainty_score":0.05937207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134150264853325,"score_gpt":0.2767737710645046,"score_spread":0.2654322684159714,"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."}}