{"id":"W4251010678","doi":"10.5539/ibr.v11n4p164","title":"Reviewer Acknowledgements for International Business Research, Vol. 11, No. 4","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; Turkish; Technical university; Management; Strategic studies; Political science; Sociology; Philosophy; Computer science; 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":[0.004710238,0.0002073608,0.0002324281,0.001202449,0.0005153126,0.0008491414,0.004319963,0.0001152602,0.00163459],"category_scores_gemma":[0.05801132,0.0001946085,0.0000746138,0.001680138,0.0004350209,0.001252925,0.002290633,0.0003157908,0.009230283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006126958,"about_ca_system_score_gemma":0.000786736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009814376,"about_ca_topic_score_gemma":0.0001086783,"domain_scores_codex":[0.9955869,0.0001816582,0.0005970851,0.0009261935,0.001846739,0.0008613676],"domain_scores_gemma":[0.7976901,0.0004977754,0.0000963175,0.0006138898,0.2009284,0.0001735163],"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":[0.00007353829,0.0002326565,0.007014405,0.0000771421,0.00008162972,0.00000716537,0.0001413084,0.000004877199,0.0001772163,0.005149312,0.971959,0.01508174],"study_design_scores_gemma":[0.0007732578,0.00004244916,0.0543852,0.0001946424,0.000001387508,0.00000219475,0.00001460272,0.003161293,0.0007249105,0.007582411,0.9329038,0.0002138232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02724604,0.0006527377,0.4282677,0.03712122,0.3064007,0.004265852,0.0001619698,0.000479643,0.1954042],"genre_scores_gemma":[0.2745767,0.002628971,0.1861152,0.004180387,0.1320261,0.004851904,0.00097492,0.0003162574,0.3943295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2473307,"threshold_uncertainty_score":0.9992781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.11478965560832,"score_gpt":0.4058163097683281,"score_spread":0.2910266541600081,"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."}}