{"id":"W4244393589","doi":"10.32920/ryerson.14662254","title":"Sustainability analysis and assessment in the supply chain","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Sustainability; Supply chain; Scope (computer science); Context (archaeology); Supply chain management; Confusion; Process management; Computer science; Business; Management science; Engineering; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005331336,0.0009152636,0.000856648,0.005872132,0.001272941,0.006974058,0.001002142,0.001928578,0.002651769],"category_scores_gemma":[0.009995453,0.0004670067,0.0009888663,0.008580158,0.003998673,0.008869104,0.003334153,0.001495472,0.0004448438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005383248,"about_ca_system_score_gemma":0.004768044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005711521,"about_ca_topic_score_gemma":0.004023796,"domain_scores_codex":[0.9939404,0.003020209,0.0003783829,0.0005374143,0.001887841,0.0002359002],"domain_scores_gemma":[0.993695,0.003617359,0.0008661033,0.0003318982,0.001336796,0.0001528011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001920015,0.00006091243,0.004994088,0.001112673,0.0001308345,0.0002590031,0.000974412,0.1448134,0.00134097,0.7167943,0.002709766,0.1267905],"study_design_scores_gemma":[0.000005540316,0.00007677694,0.002102593,0.001194037,0.00006842978,0.0001481603,0.002077921,0.1515331,0.001429698,0.7832918,0.05799371,0.00007823033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03768161,0.04203829,0.8368931,0.006882794,0.0004510114,0.0002875264,0.0002764444,0.0002403789,0.07524877],"genre_scores_gemma":[0.7259224,0.04174285,0.2160134,0.0008208842,0.0005043832,0.0004732786,0.0003676033,0.0001391235,0.01401614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006974058,"threshold_uncertainty_score":0.03905845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156222328457104,"score_gpt":0.2655986186121665,"score_spread":0.2540363953275955,"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."}}