{"id":"W4408237996","doi":"10.5267/j.jpm.2025.3.002","title":"Exploring the bridge between digital transformation and sustainable supply chain performance: An empirical study based on Yunnan fresh cut flower supply chain","year":2025,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Bridge (graph theory); Transformation (genetics); Business; Chain (unit); Environmental economics; Industrial organization; Economics; Marketing; Chemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101622,0.0002443865,0.0002676624,0.0007419827,0.0001944825,0.0004965377,0.0003303942,0.00005096423,0.000009441325],"category_scores_gemma":[0.00001409058,0.0001850429,0.0000867582,0.0005869713,0.00003631458,0.002711752,0.00004174891,0.0003711728,0.000003590358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394045,"about_ca_system_score_gemma":0.00005042661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005647558,"about_ca_topic_score_gemma":0.00000535341,"domain_scores_codex":[0.9981605,0.00005865505,0.0006940586,0.0001461139,0.0005361505,0.0004044546],"domain_scores_gemma":[0.9994317,0.00007093252,0.00008380478,0.0002422512,0.00009284252,0.0000784306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001187935,0.002650985,0.244247,0.005723879,0.002357978,0.0003990573,0.04992478,0.241876,0.00001521558,0.002661261,0.02858161,0.4203743],"study_design_scores_gemma":[0.009361636,0.003779273,0.7434727,0.001356154,0.0005370961,0.00003354677,0.09223153,0.07591526,0.001232232,0.000246516,0.07059988,0.001234176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697221,0.00001978827,0.006463051,0.0005947539,0.0002821245,0.0012634,0.00002156746,0.00009008093,0.02154317],"genre_scores_gemma":[0.9992373,0.00005700093,0.0000669052,0.0000801602,0.0001184571,0.00008859717,0.00001731702,0.00002681951,0.0003074204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4992257,"threshold_uncertainty_score":0.754583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270600774235253,"score_gpt":0.2814782280904339,"score_spread":0.2387722203480814,"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."}}