{"id":"W1894916181","doi":"10.5267/j.uscm.2015.8.002","title":"Factors influencing intention to use electronic services on organizational performance","year":2015,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Knowledge management; Computer science","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":[0.001150994,0.000177044,0.0001443471,0.0006627877,0.0003584098,0.001072445,0.0001483905,0.0004237757,0.003328481],"category_scores_gemma":[0.008073099,0.00012286,0.0004419854,0.0005347387,0.0004191154,0.0003530646,0.0004098153,0.0006290211,0.0003259302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808149,"about_ca_system_score_gemma":0.0006956142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004419215,"about_ca_topic_score_gemma":0.004644318,"domain_scores_codex":[0.9987838,0.0003819972,0.000107675,0.00006844353,0.0003824519,0.0002757425],"domain_scores_gemma":[0.9897916,0.004869577,0.002540282,0.0002685717,0.001232166,0.001297764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004953973,0.0004292142,0.9895252,0.0000224659,0.00003552784,0.00007710052,0.0008004485,0.0001740989,0.0004113893,0.0001211187,0.0001169085,0.008236968],"study_design_scores_gemma":[0.000003135129,0.0002117781,0.9969121,0.00002147861,0.00002224174,0.00004851393,0.001528434,0.0006628385,0.0002106533,0.00006218699,0.0003098903,0.000006697122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980624,0.00004452836,0.00009150858,0.00008911437,0.000002528443,0.00001083689,0.00002027746,0.000002922185,0.001675803],"genre_scores_gemma":[0.9996556,0.00003933047,0.00006666575,0.0000161852,0.000003038865,0.000004469394,0.00002668957,0.000001246794,0.0001867666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004419215,"threshold_uncertainty_score":0.01113486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07463840505794866,"score_gpt":0.322181788414206,"score_spread":0.2475433833562573,"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."}}