{"id":"W3172905174","doi":"","title":"Critical Success Factors Affecting E-Procurement Adoption in Public Sector Organizations in Sri Lanka","year":2020,"lang":"en","type":"article","venue":"","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Public sector; Business; Stratified sampling; Private sector; E-procurement; Government (linguistics); Information and Communications Technology; Data collection; Marketing; Economic growth; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002920963,0.0001889671,0.0001979939,0.0004562107,0.0001063493,0.0006088659,0.0002723063,0.00008596794,0.001725514],"category_scores_gemma":[0.001770832,0.0001745459,0.0000345048,0.002544895,0.00002552612,0.002517817,0.0001877965,0.0002184825,0.0001814381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008654749,"about_ca_system_score_gemma":0.00005430743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009092448,"about_ca_topic_score_gemma":0.001534362,"domain_scores_codex":[0.9985898,0.00002002818,0.0003396078,0.0003204392,0.0002839585,0.0004462031],"domain_scores_gemma":[0.9995199,0.00006366145,0.00007691323,0.0001138554,0.0001865303,0.00003913707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007948074,0.0001514311,0.9230081,0.0002070287,0.000008086416,0.00000489402,0.0009212795,0.00002642532,0.0004561581,0.07321294,0.001663791,0.0003319583],"study_design_scores_gemma":[0.003858462,0.0000698067,0.8851425,0.0001926868,0.00006552954,0.000001522559,0.009685965,0.01989768,0.001016734,0.002705225,0.0756046,0.001759302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374672,0.00002477574,0.0007034428,0.0192944,0.0002287057,0.0003704931,0.000002293685,0.0002930392,0.04161569],"genre_scores_gemma":[0.9952492,0.000002665088,0.00008184948,0.003698827,0.0008320388,0.00001418634,0.00007463554,0.00002173675,0.00002486192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07394081,"threshold_uncertainty_score":0.9991871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05064907811561089,"score_gpt":0.2674594975748095,"score_spread":0.2168104194591986,"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."}}