{"id":"W4234456748","doi":"10.5539/ibr.v11n1p253","title":"Reviewer Acknowledgements for International Business Research, Vol. 11, No. 1","year":2017,"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; Management; Technical university; 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":[],"category_scores_codex":[0.004957079,0.0002084082,0.0002532436,0.0008785385,0.0011858,0.002285893,0.007678988,0.000116713,0.0008220194],"category_scores_gemma":[0.1033739,0.0001965187,0.00008755412,0.0005057234,0.0003751731,0.00202512,0.003678849,0.0003697771,0.004560609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005470517,"about_ca_system_score_gemma":0.0007432312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001826498,"about_ca_topic_score_gemma":0.0001212314,"domain_scores_codex":[0.9957615,0.0001368023,0.000552355,0.0009098696,0.001823088,0.000816388],"domain_scores_gemma":[0.8480371,0.0004457815,0.0001778805,0.001159872,0.1499983,0.0001810818],"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":[0.00006798917,0.000261911,0.02291195,0.000119466,0.0001039503,0.00001756876,0.00009331729,0.00001299154,0.0001294988,0.006780791,0.9459338,0.02356678],"study_design_scores_gemma":[0.0008331999,0.00001690049,0.1837522,0.0002144741,0.000001363456,0.000001665857,0.000008855,0.002395254,0.0003105879,0.007640127,0.804628,0.0001973693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.03068846,0.0008301958,0.2434369,0.07911467,0.3674096,0.005237512,0.0002415312,0.0004139787,0.2726272],"genre_scores_gemma":[0.3499795,0.004234924,0.1141479,0.00197191,0.06649882,0.005105065,0.0007670385,0.0002734592,0.4570213],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3192911,"threshold_uncertainty_score":0.9987499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1422333478971848,"score_gpt":0.4205464720468979,"score_spread":0.2783131241497131,"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."}}