{"id":"W4232832081","doi":"10.5539/ibr.v10n6p270","title":"Reviewer Acknowledgements for International Business Research, Vol. 10, No. 6","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; Strategic studies; University hospital; Technical university; Management; Political science; Medicine; Law; Family medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00497877,0.0002067811,0.0002503705,0.0008671727,0.001168421,0.002266197,0.007634041,0.0001167969,0.001790313],"category_scores_gemma":[0.113351,0.0001949695,0.00008686661,0.0004994036,0.000371493,0.001991377,0.0036641,0.0003843186,0.008849084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005486994,"about_ca_system_score_gemma":0.0007549894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165179,"about_ca_topic_score_gemma":0.0000522761,"domain_scores_codex":[0.9958016,0.0001358802,0.0005475164,0.0009036892,0.001808349,0.0008029554],"domain_scores_gemma":[0.8382965,0.0004378761,0.0001753601,0.001143644,0.1597698,0.0001768408],"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":[0.00009057093,0.0002249049,0.007046988,0.00009975956,0.0001056142,0.00001407522,0.00007269745,0.00001043673,0.0000930067,0.004249734,0.9578957,0.03009649],"study_design_scores_gemma":[0.0008599513,0.00002260384,0.1348459,0.0002090894,0.000001378604,0.000001483542,0.00000775365,0.002490726,0.0002473953,0.007477487,0.8536367,0.0001995236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01312148,0.0008196048,0.1732152,0.05750979,0.2781429,0.004396623,0.0002048067,0.0003555189,0.4722341],"genre_scores_gemma":[0.1337472,0.002773383,0.06966434,0.001130661,0.04411672,0.003368164,0.0005654932,0.000183186,0.7444509],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2722167,"threshold_uncertainty_score":0.9991222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.145118811295614,"score_gpt":0.422180666994919,"score_spread":0.277061855699305,"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."}}