{"id":"W4248632421","doi":"10.5539/ass.v11n10p401","title":"Reviewer Acknowledgements for Asian Social Science, Vol. 11, No. 10","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Socioeconomic Development in Asia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sociology; Psychology; Political science; Social 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":[0.04025572,0.002728556,0.005485556,0.007174341,0.005005347,0.008171584,0.005072191,0.01509789,0.07422845],"category_scores_gemma":[0.4424977,0.001606609,0.004042318,0.003788856,0.003243057,0.006289586,0.003650736,0.01326198,0.03496362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005545676,"about_ca_system_score_gemma":0.01296018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008278356,"about_ca_topic_score_gemma":0.01082246,"domain_scores_codex":[0.9669771,0.007119998,0.007895672,0.002318407,0.01433194,0.001356846],"domain_scores_gemma":[0.3141009,0.04445672,0.01106251,0.007328841,0.6143765,0.008674473],"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":[0.00002387482,0.000003077685,0.00006357579,0.000319065,0.000007231528,0.0000447051,0.00005227273,0.00000907917,0.00002748125,0.000134416,0.9966258,0.002689456],"study_design_scores_gemma":[0.0001620378,0.00002382766,0.001002888,0.002493768,0.00007046394,0.0005339132,0.0005683404,0.000356241,0.0002107743,0.001643273,0.9928191,0.000115379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001112279,0.001366289,0.0007466541,0.1995725,0.7949453,0.0004702226,0.0006382497,0.000342061,0.001807455],"genre_scores_gemma":[0.004868309,0.004526585,0.002761185,0.2427875,0.6934225,0.0032477,0.001047418,0.0008827158,0.04645616],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07422845,"threshold_uncertainty_score":0.2483189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04535872652908617,"score_gpt":0.3582745543304533,"score_spread":0.3129158278013671,"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."}}