{"id":"W2607141438","doi":"10.3968/9075","title":"Research on Accunting Development Cost Per Graduate Student in University","year":2017,"lang":"en","type":"article","venue":"Canadian social science","topic":"Human Resource Development and Performance Evaluation","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduate education; Graduate students; China; Government (linguistics); Higher education; Scale (ratio); Economics education; Political science; Economic growth; Sociology; Business; Economics; Pedagogy","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":[],"category_scores_codex":[0.003407047,0.00006195743,0.00006878979,0.0005081092,0.004050637,0.0001973008,0.0008499376,0.00005239833,0.0005355167],"category_scores_gemma":[0.00005589751,0.00006875365,0.00001209403,0.0003284145,0.0005203006,0.000179853,0.00008724413,0.0002616803,0.0008714941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558179,"about_ca_system_score_gemma":0.001122947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009541405,"about_ca_topic_score_gemma":0.09504468,"domain_scores_codex":[0.9983334,0.00008347124,0.00009263996,0.0002795061,0.0005839356,0.0006270748],"domain_scores_gemma":[0.9993937,0.00002659548,0.0000488171,0.0001880934,0.0001401533,0.0002026633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002474754,0.00004544832,0.6908765,0.000003654369,0.000008651211,0.00008142809,0.1311065,0.000002777984,0.00004892485,0.021294,0.003563639,0.1529438],"study_design_scores_gemma":[0.0002045604,0.000008484742,0.9203565,0.00001038552,5.715855e-7,1.992405e-7,0.01795494,0.00000701719,0.00001629839,0.0000140815,0.06134139,0.00008561372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6854423,0.000001336269,7.891807e-7,0.0003630229,0.0002056405,0.0001434445,0.00000108995,0.000004549736,0.3138378],"genre_scores_gemma":[0.9956218,9.3645e-7,0.00002114634,0.0001045565,0.00008766683,0.000006481384,0.000002194558,0.000003989671,0.004151225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3101795,"threshold_uncertainty_score":0.9999064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3281253786703069,"score_gpt":0.483928987575312,"score_spread":0.1558036089050051,"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."}}