{"id":"W4229962369","doi":"10.5539/ibr.v11n5p173","title":"Reviewer Acknowledgements for International Business Research, Vol. 11, No. 5","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Management; Political science; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004712285,0.0002073786,0.0002324627,0.001202407,0.0005153332,0.0008488167,0.00431856,0.0001152651,0.001634207],"category_scores_gemma":[0.05820176,0.0001946117,0.00007462253,0.001680607,0.0004350228,0.001252923,0.002290733,0.000315823,0.009176957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006128119,"about_ca_system_score_gemma":0.0007875019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009891593,"about_ca_topic_score_gemma":0.0001090167,"domain_scores_codex":[0.9955866,0.0001817911,0.0005970693,0.0009262973,0.001846836,0.0008613501],"domain_scores_gemma":[0.7968785,0.0004965686,0.00009618583,0.0006129793,0.2017425,0.0001733013],"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":[0.00007241232,0.0002322402,0.006980556,0.00007701776,0.00008147873,0.000007151782,0.0001409809,0.000004920462,0.0001780356,0.005142128,0.9720092,0.01507385],"study_design_scores_gemma":[0.0007727698,0.00004195371,0.05511471,0.0001947429,0.000001387783,0.000002194687,0.00001460742,0.00314163,0.0007296895,0.007546894,0.9322256,0.0002138237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02738832,0.0006527421,0.4276485,0.03733237,0.3067405,0.004269577,0.0001609495,0.0004801823,0.1953268],"genre_scores_gemma":[0.2722529,0.002628318,0.1860707,0.00418184,0.1320137,0.004850694,0.0009721406,0.0003162345,0.3967135],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2448646,"threshold_uncertainty_score":0.9992784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139049707316982,"score_gpt":0.4054266431197844,"score_spread":0.2915216723880861,"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."}}