{"id":"W4405673204","doi":"10.1007/s10479-024-06436-0","title":"Collaborative evolution of logistics platform governance: a three-party evolutionary game perspective","year":2024,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Theory of computation; Perspective (graphical); Corporate governance; Computer science; Game theory; Operations research; Mathematical economics; Economics; Management; Mathematics; Artificial intelligence","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":[0.00428694,0.0005250396,0.0007093867,0.0007250731,0.001445466,0.004981054,0.001968814,0.003095124,0.009220037],"category_scores_gemma":[0.01455938,0.0004158579,0.0009841449,0.0005999969,0.0033192,0.005131501,0.003036342,0.001729557,0.0004574868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718627,"about_ca_system_score_gemma":0.002026197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002877017,"about_ca_topic_score_gemma":0.002340348,"domain_scores_codex":[0.9970313,0.001872636,0.00007859024,0.000313879,0.0002887664,0.0004147662],"domain_scores_gemma":[0.9924148,0.005005822,0.0006945924,0.0007078139,0.0003844442,0.0007925031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001953629,0.0003159181,0.00458454,0.00007919524,0.0001506259,0.0007963865,0.001931624,0.1572012,0.003741688,0.8153778,0.0007763207,0.01484948],"study_design_scores_gemma":[0.0001061907,0.0002204818,0.002665085,0.00003058926,0.00006702713,0.0001853299,0.002018249,0.4894337,0.0006286713,0.5012074,0.003382446,0.00005483062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6007157,0.0001837871,0.2788957,0.002906051,0.00006377312,0.000304405,0.00009740613,0.00006096473,0.1167722],"genre_scores_gemma":[0.9872172,0.00006589549,0.008815714,0.00005868142,0.00001030944,0.00006287191,0.00001588398,0.000008682709,0.003744637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009220037,"threshold_uncertainty_score":0.03084409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1239549221001993,"score_gpt":0.3748279733648469,"score_spread":0.2508730512646476,"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."}}