{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002347371,0.0001403149,0.0001596463,0.001414732,0.0001762515,0.001244845,0.0003602013,0.00007740028,0.000008585941],"category_scores_gemma":[0.0009291358,0.0001350136,0.00002997627,0.0009200131,0.000043632,0.002807721,0.0002323794,0.0001650255,0.000134888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005350251,"about_ca_system_score_gemma":0.0002257048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099006,"about_ca_topic_score_gemma":0.0003930553,"domain_scores_codex":[0.9979131,0.00002025176,0.0004080304,0.0002318734,0.001033476,0.0003932175],"domain_scores_gemma":[0.99625,0.00008792706,0.0001246402,0.000101345,0.003418881,0.0000171657],"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":[0.0003701497,0.00006206537,0.09661383,0.0009215813,0.00004611754,0.000004515492,0.001060868,0.7920091,0.00001564678,0.07906924,0.02843737,0.001389538],"study_design_scores_gemma":[0.0007029795,0.000003611965,0.007347493,0.0001491653,0.000003939537,0.00000145874,0.0008918495,0.7583197,0.0000030986,0.001513457,0.2309238,0.0001394769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08087,0.00009857772,0.8449582,0.04450569,0.00213245,0.002768633,0.00001964352,0.0003309191,0.0243159],"genre_scores_gemma":[0.9960016,0.00001153363,0.0008965237,0.000728408,0.0008860668,0.0003811796,0.0001338504,0.00002247059,0.0009383814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9151316,"threshold_uncertainty_score":0.999792,"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."}}