{"id":"W4403636766","doi":"10.1007/978-94-007-6308-1_48","title":"Biomass Supply Chain Risk: Towards a Better Understanding of Feedstock Availability, Cost, Variability, and Uncertainty to Catalyze and De-risk Biobased Investment","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Oil Sands Technology and Research Authority","funders":"","keywords":"Raw material; Biomass (ecology); Investment (military); Supply chain; Business; Environmental science; Natural resource economics; Pulp and paper industry; Economics; Engineering; Chemistry; Organic chemistry; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007850782,0.0005127016,0.0005151069,0.000494285,0.00007122273,0.0001084637,0.0001641226,0.0003051235,0.0003310119],"category_scores_gemma":[0.00004736527,0.000471884,0.0001142775,0.0001401784,0.0002467116,0.00006064512,0.0003713867,0.0002488752,0.00002354469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931314,"about_ca_system_score_gemma":0.00005205147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007156804,"about_ca_topic_score_gemma":0.001455621,"domain_scores_codex":[0.9981248,0.00003891435,0.0005610214,0.0006292597,0.0003017191,0.0003442211],"domain_scores_gemma":[0.9989362,0.0001100464,0.00009790293,0.0005105008,0.00004821142,0.0002971566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001445705,0.0001179775,0.01396,0.008740528,0.002378938,0.00005142072,0.002286148,0.001419587,0.0005343562,0.9103603,0.04261365,0.01739248],"study_design_scores_gemma":[0.003087759,0.0008279741,0.006150074,0.001651438,0.002339359,0.00002850471,0.0006834888,0.09339688,0.002397594,0.4194254,0.466343,0.003668546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04138196,0.002002275,0.1203473,0.002580489,0.001351283,0.00812438,0.004261143,0.001591251,0.8183599],"genre_scores_gemma":[0.9366937,0.00136453,0.006186392,0.0007393797,0.0001365429,0.0001925707,0.0003972502,0.0003105447,0.05397911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8953117,"threshold_uncertainty_score":0.9997733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085539440471833,"score_gpt":0.2246249529697049,"score_spread":0.2037695585649866,"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."}}