{"id":"W4249012370","doi":"10.5539/ass.v10n20p232","title":"Reviewer Acknowledgements for Asian Social Science, Vol. 10, No. 20","year":2014,"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","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":[0.0399846,0.002663303,0.005290294,0.007544309,0.005031655,0.008150545,0.0050879,0.01543375,0.07613207],"category_scores_gemma":[0.4351766,0.001550542,0.003978538,0.003888182,0.003147298,0.006444572,0.003752131,0.0129033,0.03610297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005428959,"about_ca_system_score_gemma":0.01272507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007984541,"about_ca_topic_score_gemma":0.01034093,"domain_scores_codex":[0.968147,0.006735567,0.007689666,0.002332193,0.01378375,0.00131179],"domain_scores_gemma":[0.316249,0.04446137,0.01087299,0.007357193,0.6124325,0.008627062],"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":[0.00002316855,0.000003216066,0.00006287484,0.0003121158,0.000007070593,0.00004514087,0.00005177559,0.000008791024,0.0000289345,0.0001332788,0.9966113,0.002712352],"study_design_scores_gemma":[0.0001519619,0.00002449719,0.0009949696,0.002446973,0.00006938927,0.0005032495,0.0005479365,0.0003434001,0.0002105227,0.001609252,0.9929892,0.0001086536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001090154,0.001355674,0.0007215848,0.1991234,0.7954564,0.0004451541,0.0006281784,0.0003480008,0.001812537],"genre_scores_gemma":[0.004812074,0.004615885,0.002741637,0.2499947,0.6856667,0.00311031,0.001096133,0.0009067745,0.04705573],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07613207,"threshold_uncertainty_score":0.2546871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02385884946972827,"score_gpt":0.3349320493828721,"score_spread":0.3110731999131438,"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."}}