{"id":"W4229962369","doi":"10.5539/ibr.v11n5p173","title":"Reviewer Acknowledgements for International Business Research, Vol. 11, No. 5","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; Management; Political science; Computer science; 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":[0.04323176,0.002535877,0.00337724,0.0117875,0.005705534,0.01534367,0.004530346,0.006874779,0.1363164],"category_scores_gemma":[0.3412754,0.001102892,0.002777031,0.006490012,0.002116077,0.007081895,0.004345354,0.00754336,0.09339927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005763352,"about_ca_system_score_gemma":0.01499837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034469,"about_ca_topic_score_gemma":0.003366616,"domain_scores_codex":[0.9435006,0.01191584,0.008384347,0.003912571,0.03015707,0.002129501],"domain_scores_gemma":[0.3919642,0.03103395,0.01460473,0.01132314,0.5327538,0.01832015],"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":[0.0000158385,0.000004784432,0.00007229209,0.0002416327,0.000006053318,0.00003107975,0.0000777754,0.000007303603,0.00003651029,0.0003962409,0.9886419,0.01046852],"study_design_scores_gemma":[0.00001330987,0.0000142363,0.0002893817,0.0008515515,0.00001545267,0.0001530372,0.0002373742,0.00005452672,0.00006437372,0.0006210941,0.9976629,0.0000227574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002129636,0.00616119,0.002093511,0.1004048,0.8748641,0.0007598439,0.0007393223,0.0006708464,0.01409342],"genre_scores_gemma":[0.009832016,0.01932646,0.007911569,0.09493619,0.6259277,0.003776751,0.003328311,0.003524343,0.2314367],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1363164,"threshold_uncertainty_score":0.4560237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139049707316982,"score_gpt":0.4054266431197844,"score_spread":0.2915216723880861,"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."}}