{"id":"W2969549436","doi":"10.1108/bpmj-05-2018-0139","title":"Building high performance supply-chain relationships for dynamic environments","year":2019,"lang":"en","type":"article","venue":"Business Process Management Journal","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Dynamism; Robustness (evolution); Supply chain; Computer science; Process management; Originality; Dynamic capabilities; Confirmatory factor analysis; Knowledge management; Structural equation modeling; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001724418,0.000427637,0.0003955188,0.0008208605,0.0009111665,0.0008603392,0.0008291291,0.0001106362,0.000532774],"category_scores_gemma":[0.00007260712,0.0004122698,0.0001280759,0.0009431772,0.00006454998,0.003099138,0.0003383372,0.0003981229,0.0006573118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568915,"about_ca_system_score_gemma":0.00002286209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001323333,"about_ca_topic_score_gemma":0.000005780208,"domain_scores_codex":[0.9970472,0.00002880718,0.000753978,0.0005945742,0.0008163416,0.0007590909],"domain_scores_gemma":[0.9986151,0.00005909868,0.0006329472,0.0004449574,0.0002088618,0.00003902647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00136525,0.00152216,0.1289829,0.01888037,0.001152985,0.0001184763,0.000297579,0.1441729,0.0004681235,0.5535883,0.009269685,0.1401813],"study_design_scores_gemma":[0.007266546,0.00006980405,0.3470763,0.001086716,0.0006582407,0.00003451726,0.001595084,0.08388606,0.00005111075,0.1767497,0.3796706,0.001855251],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8620097,0.0001486955,0.1114061,0.004993756,0.002292447,0.002607721,0.000008538984,0.000220636,0.01631241],"genre_scores_gemma":[0.988789,0.0001330602,0.003075731,0.001425485,0.0006678766,0.0001841858,0.00008866577,0.00009040144,0.005545639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3768386,"threshold_uncertainty_score":0.9998329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626264560347072,"score_gpt":0.2343546760062478,"score_spread":0.2180920304027771,"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."}}