{"id":"W4239886711","doi":"10.32920/ryerson.14654112.v1","title":"Sustainable Supply Chain Management In Canadian Corporations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Toronto Public Health","funders":"","keywords":"Sustainability; Selection (genetic algorithm); Supply chain; Business; Content analysis; Supply chain management; Phase (matter); Process management; Corporate sustainability; Sustainable development; Corporate social responsibility; Environmental economics; Environmental resource management; Marketing; Computer science; Economics; Political science; Public relations; Sociology","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":[0.001768636,0.0002923807,0.0001563761,0.003032248,0.00900639,0.004024568,0.0008457421,0.000554212,0.002261907],"category_scores_gemma":[0.005012015,0.000245184,0.0002493257,0.01135616,0.002252954,0.001348889,0.001516393,0.0005599881,0.0001275657],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1436129,"about_ca_system_score_gemma":0.1468929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895173,"about_ca_topic_score_gemma":0.9948341,"domain_scores_codex":[0.9976617,0.0002863127,0.00008859416,0.0002141718,0.001290711,0.000458458],"domain_scores_gemma":[0.995883,0.0005540299,0.0004845241,0.0001266102,0.002497036,0.0004549079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000141157,0.0001620262,0.1811732,0.001082514,0.00008678741,0.001997272,0.1247594,0.01764092,0.00469246,0.1925871,0.03077431,0.4449029],"study_design_scores_gemma":[0.00001856846,0.0001110111,0.3551132,0.0007257477,0.0001090296,0.0004786575,0.1841305,0.0104724,0.003475032,0.01174719,0.4334087,0.0002099859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8325225,0.005636524,0.003783137,0.008962417,0.00006631347,0.0002288028,0.0007159601,0.00009914669,0.1479852],"genre_scores_gemma":[0.9733218,0.005175312,0.005016977,0.0002428574,0.000008639297,0.00003417351,0.0003659281,0.00001323236,0.01582117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436129,"threshold_uncertainty_score":0.9932876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168170580258233,"score_gpt":0.2176405727050368,"score_spread":0.2059588669024545,"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."}}