{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05205173,0.002839977,0.004084581,0.01283619,0.006440622,0.01614249,0.005138412,0.008029609,0.1248486],"category_scores_gemma":[0.4158611,0.001273911,0.00312477,0.007228694,0.002550557,0.008081471,0.004959818,0.009184659,0.08908735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006339669,"about_ca_system_score_gemma":0.01630134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991945,"about_ca_topic_score_gemma":0.003297468,"domain_scores_codex":[0.9304747,0.0156552,0.01064101,0.005229115,0.0354255,0.002574525],"domain_scores_gemma":[0.3032002,0.03772989,0.01648434,0.01270018,0.6117518,0.01813362],"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":[0.0000168779,0.000004966481,0.00007003932,0.0002863383,0.000006317772,0.00002991426,0.00008758439,0.00000763191,0.00003470218,0.0003546033,0.9895986,0.009502329],"study_design_scores_gemma":[0.00001755786,0.00001611121,0.0002973636,0.001042286,0.00001792257,0.0001726526,0.0002721039,0.00006033542,0.00006981365,0.0007351032,0.9972698,0.00002890933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001835164,0.005286161,0.001862687,0.1035936,0.8771604,0.0007748439,0.000774985,0.0006405656,0.009723281],"genre_scores_gemma":[0.008293229,0.01707966,0.007576397,0.1056466,0.6803344,0.004823989,0.003269841,0.003599799,0.1693761],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1248486,"threshold_uncertainty_score":0.4176603,"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."}}