{"id":"W2614204423","doi":"","title":"System analysis and life cycle assessment of forest supply chains with integrated biomass production","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Environmental science; Life-cycle assessment; Bioenergy; Biomass (ecology); Renewable energy; Greenhouse gas; Fossil fuel; Raw material; Energy supply; Production (economics); Environmental engineering; Business; Waste management; Engineering; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120344,0.0002371481,0.0004007257,0.0006121843,0.00007196847,0.00007608647,0.0001235846,0.0001273375,0.00003897879],"category_scores_gemma":[0.00001155651,0.000185583,0.00006820532,0.0004326809,0.00002876508,0.0001050085,0.00000935122,0.00007556453,0.000001531906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008385387,"about_ca_system_score_gemma":0.00004207362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003957291,"about_ca_topic_score_gemma":0.02127391,"domain_scores_codex":[0.9990534,0.00001549149,0.0002957204,0.0002679186,0.000230434,0.0001370789],"domain_scores_gemma":[0.9992019,0.000005376635,0.0001860235,0.0003883127,0.0001468186,0.00007156223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003795851,0.0005741795,0.6025544,0.04650437,0.03753272,0.00005676099,0.002282436,0.1949625,0.005729076,0.07791316,0.006192373,0.02531838],"study_design_scores_gemma":[0.0004132079,0.00008757791,0.7258356,0.0004383568,0.001885907,0.00000134455,0.003306656,0.2641456,0.002517727,0.000005670064,0.0009070872,0.0004552532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9097251,0.0001737128,0.02407318,0.00003724358,0.0007854233,0.000966636,0.00005184978,0.0005343451,0.06365254],"genre_scores_gemma":[0.9912108,0.00007983581,0.0006858255,0.000001709374,0.00002607307,0.00006691543,0.00215373,0.0000374982,0.005737566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1232811,"threshold_uncertainty_score":0.9965853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006301676368548923,"score_gpt":0.2376069973040962,"score_spread":0.2313053209355473,"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."}}