{"id":"W4244073822","doi":"10.5539/ibr.v11n8p184","title":"Reviewer Acknowledgements for International Business Research, Vol. 11, No. 8","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; Research center; Management; Political science; Law; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03745302,0.002384222,0.003073297,0.009628176,0.005211533,0.0131052,0.004284435,0.00624641,0.1178885],"category_scores_gemma":[0.3283653,0.001028779,0.002401724,0.005681506,0.00202315,0.006613231,0.003955289,0.007420821,0.08024115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005618747,"about_ca_system_score_gemma":0.01370178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969295,"about_ca_topic_score_gemma":0.003370277,"domain_scores_codex":[0.9521456,0.009946647,0.006527629,0.003430253,0.02612648,0.001823338],"domain_scores_gemma":[0.4072636,0.02745455,0.01278529,0.01033713,0.5259943,0.0161651],"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":[0.00001402126,0.000003941896,0.00007512759,0.0001841101,0.000004965073,0.00002796187,0.00006942516,0.00000636539,0.00003410014,0.000351302,0.989958,0.009270607],"study_design_scores_gemma":[0.00001427396,0.00001269861,0.0002934822,0.0007094813,0.00001452268,0.0001608012,0.0002460954,0.00005862992,0.00006826552,0.0006477986,0.9977512,0.00002280559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002446638,0.005188278,0.002076137,0.118502,0.8578162,0.0006529462,0.00071494,0.0006709694,0.014134],"genre_scores_gemma":[0.01129857,0.01623368,0.007459335,0.1095443,0.5894814,0.003857707,0.003029351,0.003368826,0.2557269],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1178885,"threshold_uncertainty_score":0.3943763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139212937766467,"score_gpt":0.4054208322157692,"score_spread":0.2914995384391225,"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."}}