{"id":"W4232424307","doi":"10.5539/ibr.v10n5p202","title":"Reviewer Acknowledgements for International Business Research, Vol. 10, No. 5","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; Political science; Management; Sociology; Law; 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","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004978616,0.0002067791,0.0002503729,0.0008671877,0.001168595,0.002265246,0.007633469,0.000116802,0.001803263],"category_scores_gemma":[0.1133471,0.0001949619,0.00008687221,0.0004993795,0.0003714736,0.001991226,0.003663957,0.0003842932,0.008832433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005493093,"about_ca_system_score_gemma":0.00075488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154854,"about_ca_topic_score_gemma":0.00005150094,"domain_scores_codex":[0.9958017,0.0001358751,0.000547506,0.0009036753,0.001808342,0.0008028845],"domain_scores_gemma":[0.8383785,0.0004376612,0.0001752947,0.001143226,0.1596885,0.0001767703],"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":[0.00008999051,0.0002235028,0.007046816,0.00009953813,0.0001053777,0.00001404959,0.00007235224,0.00001054231,0.00009292573,0.004208909,0.9579865,0.03004955],"study_design_scores_gemma":[0.0008600411,0.00002261674,0.1356184,0.0002093062,0.000001379381,0.00000148539,0.000007747575,0.002505258,0.0002490679,0.007448092,0.852877,0.0001996172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01326607,0.0008216275,0.1737622,0.05776432,0.2795581,0.004414015,0.0002064167,0.0003573873,0.4698498],"genre_scores_gemma":[0.1341582,0.002787209,0.06994154,0.001134868,0.04427852,0.00337721,0.0005700571,0.0001838613,0.7435685],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2737187,"threshold_uncertainty_score":0.9991092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1451070647078866,"score_gpt":0.422198306265244,"score_spread":0.2770912415573574,"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."}}