{"id":"W4248574080","doi":"10.5539/ibr.v11n9p160","title":"Reviewer Acknowledgements for International Business Research, Vol. 11, No. 9","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; Political science; Turkish; Strategic studies; Management; Law; Philosophy; Computer science","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":[0.004711516,0.0002073651,0.000232432,0.001202425,0.000515344,0.0008489524,0.004315843,0.0001152449,0.001628684],"category_scores_gemma":[0.05820421,0.0001946003,0.00007461689,0.001680542,0.000435036,0.001253017,0.002289879,0.0003157419,0.009208244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006127695,"about_ca_system_score_gemma":0.0007874101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009719488,"about_ca_topic_score_gemma":0.0001088067,"domain_scores_codex":[0.9955869,0.0001817886,0.0005970656,0.0009261845,0.001846721,0.0008613808],"domain_scores_gemma":[0.7967511,0.0004968554,0.00009622706,0.0006131393,0.2018693,0.0001733746],"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":[0.0000725088,0.0002325475,0.006993766,0.00007712834,0.00008158992,0.000007161267,0.0001413154,0.000004935096,0.0001781785,0.005061754,0.9721918,0.01495739],"study_design_scores_gemma":[0.0007723279,0.00004195013,0.05464209,0.0001947714,0.000001387476,0.000002194445,0.00001460347,0.00316155,0.0007299267,0.007580775,0.9326447,0.000213783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0273314,0.0006526035,0.428128,0.03732879,0.3062955,0.004262128,0.0001603398,0.0004794584,0.1953617],"genre_scores_gemma":[0.2717741,0.002627449,0.1858151,0.004179789,0.1319221,0.004818229,0.0009679479,0.0003158787,0.3975794],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2444427,"threshold_uncertainty_score":0.999284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139091597197474,"score_gpt":0.4054007388803365,"score_spread":0.2914915791605891,"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."}}