{"id":"W4249861169","doi":"10.1017/s0305741018000437","title":"CQY volume 233 Cover and Front matter","year":2018,"lang":"en","type":"article","venue":"The China Quarterly","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Harvard Graduate School of Education; Universität Duisburg-Essen; University of Toronto; University of California, Los Angeles; University of Minnesota; Beijing Normal University; Johns Hopkins University; George Washington University; Aarhus Universitet; San Diego State University; University of Pennsylvania; University of Washington; Massachusetts Institute of Technology; Yale University","keywords":"Front cover; Cover (algebra); Front (military); Volume (thermodynamics); Action (physics); Content (measure theory); Computer science; Geography; Mathematics; Physics; Engineering; Meteorology; Mechanical engineering; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003438028,0.0001082484,0.0002078911,0.00005298167,0.0002460108,0.0001338081,0.0001999732,0.00003377344,0.03290588],"category_scores_gemma":[0.000006052423,0.00008800707,0.00005360866,0.00004257205,0.0002993861,0.0001828144,0.00004439694,0.00006368491,0.2493804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002666973,"about_ca_system_score_gemma":0.00000351058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002443801,"about_ca_topic_score_gemma":0.00001074073,"domain_scores_codex":[0.9992039,0.000008084232,0.0002401326,0.000301108,0.00001827477,0.0002284592],"domain_scores_gemma":[0.999499,0.00001245245,0.0001163091,0.0003176331,0.0000105626,0.0000440372],"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":[0.00001750151,0.0000275289,0.02611387,0.00001023825,0.00007158973,9.351352e-7,0.01376227,7.453983e-7,0.000004174695,0.01272944,0.9458617,0.001400015],"study_design_scores_gemma":[0.0004594132,0.0002003461,0.2160281,0.000007661284,0.0000102866,0.000005948736,0.0009411732,0.001187041,0.00000566172,0.02204664,0.7588371,0.0002706304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4288628,0.0006191503,0.0003940489,0.001750567,0.001974098,0.0001284316,0.0001529453,0.00002670748,0.5660913],"genre_scores_gemma":[0.6746258,0.00001534145,0.00006048083,0.0005191948,0.0002058853,0.000005964559,0.000001755422,0.000008862306,0.3245568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.245763,"threshold_uncertainty_score":0.9679782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506713202062758,"score_gpt":0.1854166303831472,"score_spread":0.1703494983625196,"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."}}