{"id":"W4249389693","doi":"10.1002/ev.20282","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"New Directions for Evaluation","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; National Science Foundation; Claremont Graduate University; Duquesne University; Weizmann Institute of Science; Michigan State University; Sierra Health Foundation; Northwestern University; Gordon and Betty Moore Foundation; University of Connecticut; College of Engineering, Michigan State University; École nationale d'administration publique; Syracuse University; University of Southern California; John D. and Catherine T. MacArthur Foundation","keywords":"Computer science; Citation; World Wide Web; Information retrieval; Library science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001152775,0.0001940134,0.0003781772,0.0005338805,0.000355196,0.0002244991,0.0001748384,0.0002272763,0.1461259],"category_scores_gemma":[0.0003479774,0.0002423908,0.000193508,0.0002466833,0.0000540795,0.0007033957,0.00004382425,0.00009012481,0.5442282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004358186,"about_ca_system_score_gemma":0.0001418389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003819858,"about_ca_topic_score_gemma":0.00003390296,"domain_scores_codex":[0.9986079,0.00001220689,0.0006784026,0.0003962657,0.00006746652,0.0002378011],"domain_scores_gemma":[0.9986594,0.00004275919,0.0006441558,0.0003298316,0.0002569793,0.00006690674],"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":[0.000009166512,0.00001362391,0.000005492795,0.00002571599,0.00009306354,3.455948e-9,0.0004720695,0.000139271,1.721042e-7,0.001982213,0.9877389,0.009520303],"study_design_scores_gemma":[0.0007716732,0.00004498267,0.00004522394,0.00001922779,0.00004998751,4.177001e-7,0.0001374821,0.003712759,0.00001594533,0.003756323,0.9911927,0.0002532647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003435367,0.002113493,0.004931094,0.0003169737,0.05299304,0.001031726,0.002309195,0.00004083091,0.9362293],"genre_scores_gemma":[0.0001284502,0.0005284328,0.0008068433,0.0001820641,0.002089511,0.0003178392,0.001724722,0.00002087916,0.9942012],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3981023,"threshold_uncertainty_score":0.9884408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0711548467400742,"score_gpt":0.2947114174565125,"score_spread":0.2235565707164383,"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."}}