{"id":"W4249888852","doi":"10.5539/ibr.v10n11p219","title":"Reviewer Acknowledgements for International Business Research, Vol. 10, No. 11","year":2017,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Strategic studies; Management; Political science; Sociology; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004990809,0.0002156769,0.0002606407,0.0008925493,0.001165712,0.002253885,0.007692088,0.0001202428,0.001786709],"category_scores_gemma":[0.1060834,0.0002035584,0.00009065947,0.0005166274,0.0003803446,0.002019654,0.003735474,0.000352943,0.007476171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594944,"about_ca_system_score_gemma":0.0007735448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001752713,"about_ca_topic_score_gemma":0.0001104174,"domain_scores_codex":[0.9956839,0.0001408747,0.0005675856,0.0009290663,0.001851416,0.000827131],"domain_scores_gemma":[0.8443646,0.0004463966,0.0001831562,0.0011642,0.153657,0.0001846222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000761784,0.0002377617,0.01368135,0.0001066996,0.00009207468,0.00001545921,0.000075137,0.00001114395,0.00008304203,0.004992044,0.9584444,0.02218478],"study_design_scores_gemma":[0.0008589584,0.0000198665,0.1568086,0.0002117091,0.000001434744,0.000001567305,0.000008297645,0.002465522,0.0002413199,0.006120181,0.8330618,0.0002007828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02542999,0.0008458242,0.1977392,0.07185306,0.3175957,0.00531915,0.0002596687,0.0004307284,0.3805267],"genre_scores_gemma":[0.1603094,0.002368597,0.0680577,0.001147349,0.04338994,0.00343715,0.0006100149,0.0001937345,0.7204861],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3399594,"threshold_uncertainty_score":0.9991258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441549700950719,"score_gpt":0.4197325833470922,"score_spread":0.2755776132520203,"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."}}