{"id":"W4399545105","doi":"10.20944/preprints202406.0561.v1","title":"Investigating the Influence of Power Dynamics on Supply Chain Decision-Making Processes","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Supply chain; Business; Corporate governance; Industrial organization; Negotiation; Leverage (statistics); Incentive; Supply chain management; Resource dependence theory; Centrality; Process management; Marketing; Economics; Microeconomics; Computer science","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":[0.01057968,0.0003733095,0.0002273241,0.001434698,0.001903413,0.004997908,0.0006423141,0.0007932943,0.003801282],"category_scores_gemma":[0.03146543,0.0003137265,0.0003617906,0.001459596,0.005529881,0.005142582,0.003273788,0.001152127,0.0002644982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004189538,"about_ca_system_score_gemma":0.004837573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004054298,"about_ca_topic_score_gemma":0.005272711,"domain_scores_codex":[0.9903709,0.006763871,0.0002559377,0.0006386979,0.001219986,0.000750614],"domain_scores_gemma":[0.9332036,0.05787923,0.00422525,0.001296636,0.002355175,0.001040103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000511047,0.0003063001,0.1582073,0.0014968,0.0002534977,0.003135845,0.3825772,0.01755968,0.01023692,0.2476335,0.001860273,0.1762217],"study_design_scores_gemma":[0.0001444566,0.0007945325,0.1301069,0.002162518,0.0002882187,0.001001087,0.4491724,0.04862359,0.01357791,0.2702541,0.08359727,0.0002770743],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929361,0.0009256555,0.04603385,0.002686662,0.00004882434,0.0002219413,0.0001084272,0.00003079149,0.05700787],"genre_scores_gemma":[0.9964771,0.0002678762,0.00240287,0.00006900925,0.000006191666,0.00004668603,0.00002058136,0.000007690251,0.0007020832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01057968,"threshold_uncertainty_score":0.05595136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03608391971290862,"score_gpt":0.3096011965639703,"score_spread":0.2735172768510616,"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."}}