{"id":"W4251331382","doi":"10.5539/ass.v12n7p247","title":"Reviewer Acknowledgements for Asian Social Science, Vol. 12, No. 7","year":2016,"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":"Span (engineering); Psychology; Sociology; Gerontology; Medicine; Engineering","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":[0.03148089,0.002653269,0.005243814,0.006428861,0.004512125,0.006477026,0.004494442,0.009952931,0.0960245],"category_scores_gemma":[0.3802981,0.001180673,0.0030951,0.003231466,0.002622155,0.005675677,0.003287522,0.008665771,0.04998963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004686827,"about_ca_system_score_gemma":0.01056798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006646192,"about_ca_topic_score_gemma":0.01074263,"domain_scores_codex":[0.967739,0.005669697,0.006534503,0.00208537,0.01673009,0.001241252],"domain_scores_gemma":[0.2922898,0.01874339,0.009647502,0.00510002,0.6662261,0.007993191],"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":[0.00002071005,0.000002348326,0.00006889532,0.0002505791,0.000005818103,0.0000471723,0.00004987769,0.000005898031,0.00003212031,0.0001249717,0.9961029,0.003288717],"study_design_scores_gemma":[0.0001531264,0.00002576575,0.001017488,0.002211877,0.00008060574,0.0006038321,0.0006987648,0.0003281372,0.0003580684,0.001521223,0.9928767,0.0001242358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002175551,0.00202529,0.001383662,0.1811948,0.8084283,0.0008721999,0.0009966922,0.0006150405,0.004266368],"genre_scores_gemma":[0.01121013,0.006869342,0.005479483,0.2199068,0.6025774,0.006200289,0.002379392,0.00224434,0.1431328],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0960245,"threshold_uncertainty_score":0.3212339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789674424659834,"score_gpt":0.310573244686644,"score_spread":0.2826765004400457,"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."}}