{"id":"W2780634889","doi":"","title":"Practical Supply Chain Management Knowledge from Industry-Academia Dialogue","year":2017,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Supply chain management; Chain (unit); Knowledge management; Process management; Engineering management; Computer science; Engineering; Marketing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02895896,0.001082016,0.0009811424,0.002735048,0.01645902,0.02134037,0.003934254,0.0114496,0.02364834],"category_scores_gemma":[0.02711217,0.0008149267,0.000572805,0.004263742,0.02024072,0.02203053,0.02190273,0.01198756,0.003958597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01526434,"about_ca_system_score_gemma":0.02213046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338835,"about_ca_topic_score_gemma":0.007109015,"domain_scores_codex":[0.9776678,0.01535393,0.0007191551,0.00142148,0.003164839,0.00167267],"domain_scores_gemma":[0.9510288,0.0385895,0.001103505,0.002591338,0.0027216,0.003965184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005428147,0.0004785678,0.0009112593,0.001202127,0.00002207355,0.002185951,0.1804419,0.002135003,0.001078413,0.5791232,0.1237376,0.1086295],"study_design_scores_gemma":[0.00001624752,0.00003567597,0.0002103506,0.001386118,0.000003489798,0.0002342785,0.08943856,0.0006648018,0.0003120303,0.1746764,0.7329973,0.0000247124],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03263985,0.02046388,0.04981933,0.4412944,0.004154048,0.0002770236,0.0002643249,0.0002743419,0.4508128],"genre_scores_gemma":[0.7246082,0.03489316,0.0384636,0.06858025,0.003173637,0.0009003096,0.000726784,0.0003504427,0.1283037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02895896,"threshold_uncertainty_score":0.1531515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04200141997076787,"score_gpt":0.2708323804739737,"score_spread":0.2288309605032058,"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."}}