{"id":"W2096264737","doi":"10.1002/bbb.292","title":"Analysis of the global production location dynamics in the industrial wood pellet market: an MCDA approach","year":2011,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Raw material; Production (economics); Business; Supply and demand; Product (mathematics); Natural resource economics; Environmental science; Agricultural economics; Environmental economics; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001983997,0.0005906083,0.000685574,0.003069329,0.0005901285,0.001835822,0.0007810233,0.001041905,0.003856287],"category_scores_gemma":[0.00304685,0.0004403289,0.001143673,0.003030584,0.0005915476,0.0007127679,0.0008869353,0.000679374,0.0001492956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311237,"about_ca_system_score_gemma":0.001288185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0249546,"about_ca_topic_score_gemma":0.02482627,"domain_scores_codex":[0.9992641,0.0004795067,0.00002396429,0.00007692225,0.00008723943,0.00006838045],"domain_scores_gemma":[0.9981465,0.001419036,0.0001422536,0.00004949596,0.0001735181,0.00006918654],"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":[0.00008715632,0.0001057885,0.008607637,0.0001719261,0.0001430632,0.000330625,0.0001558636,0.9648027,0.001265278,0.008825034,0.0006252624,0.01487968],"study_design_scores_gemma":[0.0000103127,0.00002936374,0.002051082,0.0000144294,0.00001746628,0.00002077708,0.0003232605,0.9937816,0.0001824603,0.003032879,0.0005276494,0.000008712706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7304924,0.0004317365,0.2501194,0.0009509315,0.00004742822,0.0005370498,0.002227289,0.0001371375,0.01505667],"genre_scores_gemma":[0.902733,0.0001608477,0.09534927,0.00003959085,0.000007944931,0.0001578647,0.0003974542,0.00001521061,0.001138858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0249546,"threshold_uncertainty_score":0.04961872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03993203563268449,"score_gpt":0.2155235115152914,"score_spread":0.1755914758826069,"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."}}