{"id":"W4392790005","doi":"10.5539/ass.v20n1p76","title":"Reviewer Acknowledgements for Asian Social Science, Vol. 20, No. 1","year":2024,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; Psychology; Regional science; Social science; Data science; Political science; 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":[0.004038701,0.0002030445,0.0002330912,0.0002631781,0.0060038,0.0008103639,0.001295721,0.0001156745,0.0007297047],"category_scores_gemma":[0.003320496,0.0001900199,0.0001798853,0.002818256,0.005729064,0.001355084,0.0002411459,0.0001685228,0.002289397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001073198,"about_ca_system_score_gemma":0.001794157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001764883,"about_ca_topic_score_gemma":0.00004042697,"domain_scores_codex":[0.9957376,0.00006818173,0.0003110497,0.0008056892,0.001983289,0.001094153],"domain_scores_gemma":[0.9971259,0.00004006585,0.00008727991,0.0001386664,0.002316034,0.0002920129],"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":[0.00000472892,0.00004991517,0.00017595,0.00003696357,0.00001219976,0.000001991765,0.01350695,2.030382e-8,0.0003229783,0.04733745,0.587765,0.3507859],"study_design_scores_gemma":[0.0001142289,0.0000237182,0.01366712,0.0000446972,0.00001685045,8.564487e-8,0.002303453,0.000009075029,0.00005912047,0.00438073,0.9791042,0.0002767739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003974619,0.0001943303,0.0002677916,0.004832368,0.01838672,0.0007400812,0.0000139766,0.0001438938,0.9750234],"genre_scores_gemma":[0.7745351,0.0004171712,0.002833503,0.001883368,0.03484111,0.000468063,0.00002814262,0.00008064903,0.1849129],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7901105,"threshold_uncertainty_score":0.9984874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715324723908412,"score_gpt":0.3263578012804651,"score_spread":0.299204554041381,"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."}}