{"id":"W2070238650","doi":"10.1504/ijpm.2011.040370","title":"The impact of information sharing on supply chain performance: an empirical study","year":2011,"lang":"en","type":"article","venue":"International Journal of Procurement Management","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Supply chain; Automotive industry; Information sharing; Structural equation modeling; Empirical research; Business; Supply chain management; Industrial organization; Environmental economics; Computer science; Operations management; Marketing; Economics; Mathematics; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023269,0.0002444046,0.0002219066,0.001060838,0.000167929,0.0004111565,0.001638985,0.00003182557,0.0002522448],"category_scores_gemma":[0.00007646409,0.000161752,0.0001919873,0.000374845,0.00004809873,0.002862435,0.0005570845,0.0002028343,0.00004994625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004054813,"about_ca_system_score_gemma":0.0000345499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001801195,"about_ca_topic_score_gemma":0.00001278752,"domain_scores_codex":[0.9969168,0.00002760424,0.001019173,0.0001854002,0.001534489,0.000316536],"domain_scores_gemma":[0.9973194,0.00002325141,0.001185854,0.0003524486,0.00108972,0.00002933202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003176302,0.003844929,0.8474267,0.000257299,0.002961592,0.0001523121,0.003761754,0.009726354,0.00001192385,0.023079,0.009800755,0.0958011],"study_design_scores_gemma":[0.004083159,0.001647847,0.9448718,0.0002153443,0.0002327996,0.000007842317,0.01627331,0.0117063,0.00006785079,0.004912787,0.01558265,0.000398324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719207,0.00001886909,0.000915679,0.0004883892,0.0009918105,0.001162807,0.000001493068,0.00003636373,0.02446389],"genre_scores_gemma":[0.9986699,0.00003466876,0.0002322797,0.0003449725,0.0004833759,0.00004598948,0.000009725208,0.00001903923,0.0001600506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09744511,"threshold_uncertainty_score":0.6596057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121578019896401,"score_gpt":0.3002185455455825,"score_spread":0.2690027653466185,"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."}}