{"id":"W2889425258","doi":"10.1002/bbb.1482","title":"Systematic assessment of triticale‐based biorefinery strategies: sustainability assessment using multi‐criteria decision‐making (MCDM)","year":2018,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Biorefinery; Multiple-criteria decision analysis; Sustainability; Environmental economics; Investment (military); Business; Engineering; Biofuel; Economics; Waste management; Operations research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01589973,0.001498178,0.001364195,0.007190155,0.001077628,0.002845088,0.001282772,0.001015597,0.001294324],"category_scores_gemma":[0.01493399,0.0006500405,0.00171022,0.003223848,0.0008657315,0.001419813,0.001574348,0.0009311904,0.00009864141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003301454,"about_ca_system_score_gemma":0.004780494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004711598,"about_ca_topic_score_gemma":0.01048791,"domain_scores_codex":[0.9911563,0.005907282,0.0004667835,0.000437925,0.001759638,0.0002719652],"domain_scores_gemma":[0.9878726,0.008225874,0.0009760435,0.0003752182,0.002271041,0.000279268],"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":[0.000644932,0.001410953,0.01985574,0.003618508,0.001099452,0.0004480066,0.001062197,0.7249579,0.01690841,0.01384618,0.001300136,0.2148475],"study_design_scores_gemma":[0.0001920634,0.001509312,0.007525116,0.0009422539,0.0003343195,0.00009501155,0.002937957,0.9510023,0.01289112,0.01831986,0.004100053,0.0001505623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7141767,0.00361837,0.2645275,0.001078374,0.00006636548,0.003449185,0.00092427,0.0001441373,0.01201503],"genre_scores_gemma":[0.761242,0.0008594908,0.236255,0.00007720154,0.000009318906,0.0008256047,0.0003270049,0.00001134281,0.0003928972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01589973,"threshold_uncertainty_score":0.08408684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139986787668972,"score_gpt":0.3427910137283526,"score_spread":0.3113911458516628,"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."}}