{"id":"W4385356965","doi":"10.1108/ijopm-04-2023-0318","title":"From supply chain learning to the learning supply chain: drivers, processes, complexity, trade-offs and challenges","year":2023,"lang":"en","type":"article","venue":"International Journal of Operations & Production Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Typology; Supply chain; Phenomenon; Originality; Government (linguistics); Field (mathematics); Value (mathematics); Supply chain management; Process management; Knowledge management; Computer science; Business; Risk analysis (engineering); Management science; Marketing; Sociology; Economics; Qualitative research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001604596,0.00027181,0.0002503338,0.001302346,0.0006607385,0.0009933086,0.000786476,0.0000455393,0.0002028006],"category_scores_gemma":[0.0005299338,0.0002327843,0.00008954854,0.0009945179,0.00009226498,0.001505494,0.0007022626,0.0003954714,0.0001640638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001933407,"about_ca_system_score_gemma":0.00004040858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000262079,"about_ca_topic_score_gemma":0.0002960438,"domain_scores_codex":[0.9973583,0.00009123301,0.0006245963,0.0004951258,0.001082629,0.0003480757],"domain_scores_gemma":[0.998553,0.00006833799,0.0003337969,0.0002410778,0.0007638406,0.00003998875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002601143,0.0003515769,0.009210367,0.0005710641,0.001521294,0.0003618401,0.009933959,0.7018149,0.0002057021,0.05441495,0.06162674,0.1597275],"study_design_scores_gemma":[0.0008877509,0.00006920875,0.03148669,0.0002336213,0.0001579638,0.00002516796,0.05018403,0.01353389,0.00004241322,0.002567542,0.9004441,0.0003675865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2502672,0.001393983,0.005185269,0.7313797,0.005576183,0.002169779,0.0000116007,0.0004378732,0.003578404],"genre_scores_gemma":[0.9847751,0.003149776,0.001006171,0.001242866,0.005578415,0.0001037308,0.0001488955,0.00005279951,0.003942212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8388174,"threshold_uncertainty_score":0.9578498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03536825912791162,"score_gpt":0.2655069901952788,"score_spread":0.2301387310673672,"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."}}