{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001679459,0.0002028035,0.0002344707,0.000396065,0.0001994023,0.000156665,0.0004727042,0.000101303,0.00002854068],"category_scores_gemma":[0.0002492962,0.0001226054,0.00006518557,0.004930248,0.0001776107,0.0005180942,0.0002410367,0.0001448862,0.000001638457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000101984,"about_ca_system_score_gemma":0.00002948032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002617048,"about_ca_topic_score_gemma":0.0007917453,"domain_scores_codex":[0.998412,0.000070524,0.0003571534,0.0005438438,0.0003256111,0.0002908677],"domain_scores_gemma":[0.9988459,0.000009971122,0.0003310342,0.0006252741,0.0001775812,0.0000101943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001967316,0.0006428589,0.9202515,0.0003268613,0.000334931,0.000003943233,0.00115718,0.000218503,0.00006051849,0.03434317,0.0004033505,0.04206041],"study_design_scores_gemma":[0.000910699,0.00006686898,0.9208355,0.00007216884,0.001590633,0.000004215966,0.03848204,0.02924363,0.0001127258,0.0027982,0.005250051,0.0006332835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869751,0.0001272586,0.00007394214,0.001550598,0.0004161239,0.0006588291,0.000008051583,0.00003893656,0.01015116],"genre_scores_gemma":[0.9987591,0.000009763581,0.0002246175,0.0002641068,0.000525986,0.00002199289,0.00006427187,0.0000117476,0.0001183974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04142712,"threshold_uncertainty_score":0.4999703,"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."}}