{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004712339,0.0002073863,0.0002324635,0.001202184,0.0005153195,0.0008490972,0.004318491,0.0001152611,0.001634983],"category_scores_gemma":[0.0582066,0.0001946199,0.00007461842,0.001679761,0.0004350445,0.001252878,0.00229041,0.0003158385,0.009240851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006128773,"about_ca_system_score_gemma":0.0007877933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009880812,"about_ca_topic_score_gemma":0.0001089503,"domain_scores_codex":[0.9955869,0.0001817947,0.0005970687,0.0009262758,0.001846515,0.0008614451],"domain_scores_gemma":[0.7967438,0.0004969194,0.00009623698,0.000613291,0.2018764,0.0001733936],"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":[0.00007249738,0.0002324981,0.006946692,0.00007712126,0.0000815896,0.000007161314,0.000141295,0.000004934938,0.0001769645,0.005121168,0.9718585,0.01527956],"study_design_scores_gemma":[0.0007729102,0.00004203504,0.0543205,0.0001948579,0.000001388182,0.000002195473,0.00001460657,0.003162817,0.0007385882,0.007582624,0.9329536,0.0002139052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02741578,0.0006522348,0.4275177,0.03730249,0.3060781,0.00426028,0.0001602745,0.0004763785,0.1961367],"genre_scores_gemma":[0.2715914,0.002591899,0.1854033,0.004166012,0.1314663,0.004831731,0.0009645654,0.000314633,0.3986703],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2441756,"threshold_uncertainty_score":0.9992777,"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."}}