{"id":"W4229534603","doi":"10.5539/ass.v11n4p386","title":"Reviewer Acknowledgements for Asian Social Science, Vol. 11, No. 4","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sociology; Data science; Psychology; 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":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.005410932,0.0002010686,0.0002662423,0.000197019,0.005271177,0.0004099621,0.001523303,0.0001170667,0.0002419195],"category_scores_gemma":[0.008267145,0.0001929604,0.0001320234,0.002168706,0.006294571,0.001276139,0.000290646,0.000115823,0.001256618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001275518,"about_ca_system_score_gemma":0.00224151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004505529,"about_ca_topic_score_gemma":0.00009273447,"domain_scores_codex":[0.9952956,0.00009361424,0.0003221492,0.0006858511,0.002464575,0.001138188],"domain_scores_gemma":[0.9939002,0.0000242479,0.0001815561,0.0001635735,0.005194892,0.0005355206],"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":[0.00001192015,0.0001171985,0.001999392,0.00001339115,0.000008340226,0.000001143054,0.02387088,4.38203e-8,0.0001229101,0.03291216,0.7803894,0.1605532],"study_design_scores_gemma":[0.000337256,0.00003268126,0.03139886,0.00001465925,0.00001211992,6.768939e-8,0.006001516,0.000002970925,0.00005950822,0.00374478,0.9581037,0.0002919123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001578449,0.00004721129,0.0001972786,0.00353124,0.01243539,0.000791578,0.000006844237,0.00008217669,0.9813299],"genre_scores_gemma":[0.8972097,0.00009233615,0.003957931,0.002026186,0.02220588,0.0003265656,0.00001732611,0.00005253415,0.07411153],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9072183,"threshold_uncertainty_score":0.999521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0451539206304138,"score_gpt":0.3312077639673653,"score_spread":0.2860538433369516,"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."}}