{"id":"W4247696237","doi":"10.5539/ibr.v10n4p199","title":"Reviewer Acknowledgements for International Business Research, Vol. 10, No. 4","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; Media studies; Sociology; 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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004976455,0.0002067613,0.0002503357,0.0008672179,0.001168548,0.002266111,0.007635939,0.0001167971,0.001803685],"category_scores_gemma":[0.1129978,0.0001949588,0.00008686204,0.00049924,0.000371472,0.001991229,0.003663797,0.0003842541,0.008883774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005492052,"about_ca_system_score_gemma":0.0007541458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001145839,"about_ca_topic_score_gemma":0.00005134109,"domain_scores_codex":[0.995802,0.0001357757,0.0005475202,0.0009035737,0.001808247,0.0008029004],"domain_scores_gemma":[0.8391176,0.0004386194,0.0001754924,0.001144648,0.1589467,0.0001769471],"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":[0.00009140854,0.0002239494,0.007082442,0.00009971925,0.0001055946,0.00001407917,0.0000725352,0.00001045176,0.00009251703,0.004215652,0.9579198,0.03007186],"study_design_scores_gemma":[0.0008613007,0.00002290289,0.1341015,0.0002093724,0.000001380256,0.00000148667,0.000007751527,0.002523045,0.0002476419,0.007489359,0.8543345,0.0001997829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01320069,0.0008218507,0.1740824,0.05745433,0.2793261,0.004411393,0.000207783,0.0003570853,0.4701383],"genre_scores_gemma":[0.13571,0.002796161,0.07016559,0.001137834,0.04441387,0.003388062,0.0005733809,0.0001844194,0.7416306],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2714923,"threshold_uncertainty_score":0.9991088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1462017420411255,"score_gpt":0.422596175624939,"score_spread":0.2763944335838135,"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."}}