{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03725352,0.002311452,0.002960141,0.009700278,0.00521617,0.01273266,0.004070903,0.006130958,0.1154821],"category_scores_gemma":[0.3240089,0.001015389,0.00246556,0.005569252,0.001903823,0.006323286,0.003829905,0.007072882,0.07587931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005231072,"about_ca_system_score_gemma":0.01439119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076352,"about_ca_topic_score_gemma":0.003665103,"domain_scores_codex":[0.9545515,0.009190592,0.006158927,0.00310458,0.02529533,0.001699003],"domain_scores_gemma":[0.3975917,0.02750842,0.01306241,0.009700224,0.5356551,0.01648213],"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":[0.00001416961,0.000004332583,0.00007565154,0.0001986234,0.000005094282,0.0000333,0.00007809706,0.000006698748,0.00004085101,0.0003448993,0.9890357,0.01016265],"study_design_scores_gemma":[0.00001336406,0.00001381787,0.0002953737,0.0006857281,0.00001507141,0.0001691856,0.0002625342,0.0000609319,0.00007420211,0.0006164873,0.9977696,0.00002375424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002447432,0.005255333,0.002191456,0.1150953,0.8616717,0.0007235075,0.000704676,0.0006840683,0.01342928],"genre_scores_gemma":[0.01128072,0.01756902,0.008907761,0.1049923,0.5905693,0.003957743,0.002866559,0.003559321,0.2562973],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1154821,"threshold_uncertainty_score":0.3863263,"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."}}