{"id":"W4400474837","doi":"10.5267/j.uscm.2024.5.003","title":"Leveraging green innovation and green ambidexterity for green competitive advantage: The mediating role of green resilient supply chain","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ambidexterity; Business; Competitive advantage; Green innovation; Supply chain; Industrial organization; Green logistics; Chain (unit); Environmental economics; Knowledge management; Marketing; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001516869,0.0003491632,0.0001910954,0.001440011,0.0009159261,0.003720308,0.0002733464,0.0006628705,0.003909613],"category_scores_gemma":[0.004065938,0.0001500579,0.0004974438,0.0009137992,0.002330777,0.002775254,0.003340168,0.0007634523,0.0002079011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001460364,"about_ca_system_score_gemma":0.003049402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894351,"about_ca_topic_score_gemma":0.003122703,"domain_scores_codex":[0.9987358,0.0005067227,0.00006267058,0.0001411618,0.0002830335,0.0002706278],"domain_scores_gemma":[0.994715,0.002479654,0.001548174,0.0002639773,0.0004519336,0.0005411984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002426598,0.0009325932,0.6309403,0.0005523087,0.0004268766,0.002731224,0.01596155,0.008580803,0.00959228,0.195863,0.0008317604,0.1333446],"study_design_scores_gemma":[0.00005206615,0.0008912286,0.6892063,0.00120471,0.0006563566,0.001477251,0.05333802,0.02560795,0.01193717,0.182942,0.03246884,0.0002181342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421153,0.0004306881,0.005101332,0.001678198,0.00002217,0.00005164832,0.00003247632,0.00001932836,0.05054884],"genre_scores_gemma":[0.9989427,0.0001556656,0.0004501073,0.00003573121,0.000004003964,0.00000521813,0.000004599743,0.000001263311,0.0004006696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003909613,"threshold_uncertainty_score":0.01307899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131912168722542,"score_gpt":0.250314942445604,"score_spread":0.2371237255733498,"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."}}