{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04316528,0.002747678,0.005420551,0.007805217,0.005594438,0.008154193,0.005516243,0.01631004,0.06591005],"category_scores_gemma":[0.4449216,0.001691355,0.00414033,0.004097726,0.003464959,0.006519014,0.003940257,0.01389733,0.03122412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006184925,"about_ca_system_score_gemma":0.01424993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008798691,"about_ca_topic_score_gemma":0.01162123,"domain_scores_codex":[0.964965,0.007535744,0.008146727,0.002502805,0.01538209,0.001467629],"domain_scores_gemma":[0.29367,0.04013123,0.01089118,0.007594883,0.6390038,0.00870903],"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":[0.000023739,0.0000033031,0.00007596761,0.0003390717,0.000008483384,0.00005857387,0.00006922322,0.00001101001,0.00003659095,0.000170559,0.9963792,0.002824318],"study_design_scores_gemma":[0.0001465889,0.00002346237,0.0009760896,0.002255864,0.00007459718,0.0005600548,0.0006576623,0.0003873815,0.0002310694,0.001717203,0.9928547,0.0001153079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001281649,0.001332734,0.00083805,0.2033396,0.791302,0.0004487408,0.0005717213,0.0003444491,0.001694474],"genre_scores_gemma":[0.005947646,0.004631656,0.003644812,0.2455463,0.681868,0.003531445,0.001063694,0.0009817702,0.05278471],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06591005,"threshold_uncertainty_score":0.2282826,"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."}}