{"id":"W1552480948","doi":"10.5539/ibr.v8n7p68","title":"A Model for Offshore Information Systems Outsourcing Provider Selection in Developing Countries","year":2015,"lang":"en","type":"article","venue":"International Business Research","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Outsourcing; Offshore outsourcing; Business; Destinations; Ranking (information retrieval); Developing country; Offshoring; Knowledge process outsourcing; Task (project management); Selection (genetic algorithm); Industrial organization; Global information system; Information system; Marketing; Computer science; Tourism; Economics; Economic growth; Engineering","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":[0.001714357,0.0007532861,0.0006733856,0.001765628,0.001444528,0.003275666,0.001999224,0.002384711,0.01124505],"category_scores_gemma":[0.002869608,0.0005186126,0.0008718349,0.002607335,0.00110754,0.0025817,0.001841102,0.001437694,0.001263763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003008362,"about_ca_system_score_gemma":0.002283156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018284,"about_ca_topic_score_gemma":0.01746586,"domain_scores_codex":[0.9987471,0.0007407161,0.00004036349,0.0001462529,0.0001302948,0.0001952798],"domain_scores_gemma":[0.9986089,0.0008954489,0.0001492954,0.00003489047,0.0001914832,0.0001199903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001612133,0.0001915742,0.006370577,0.0002011245,0.00005923339,0.001293919,0.0008944492,0.6615252,0.0008187689,0.3004452,0.00500883,0.02302987],"study_design_scores_gemma":[0.00006566136,0.00009111639,0.001105392,0.00007162162,0.00004470027,0.0002325558,0.0008384446,0.9537232,0.0001939548,0.03627644,0.007319492,0.00003743248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1805767,0.001119159,0.6370266,0.006515929,0.0001207684,0.0008490726,0.002214209,0.0003233625,0.1712541],"genre_scores_gemma":[0.8769869,0.001377009,0.09533852,0.0002887224,0.00004165526,0.0007839079,0.0006775051,0.00004359534,0.0244624],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02018284,"threshold_uncertainty_score":0.04013073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09610119074272627,"score_gpt":0.3338250648041057,"score_spread":0.2377238740613794,"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."}}