{"id":"W4238813095","doi":"10.1002/ev.20357","title":"Issue Information","year":2020,"lang":"en","type":"paratext","venue":"New Directions for Evaluation","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Los Angeles; Sierra Health Foundation; National Science Foundation; Claremont Graduate University; Duquesne University; Weizmann Institute of Science; Michigan State University; 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; University of Hawai'i; 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":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005832925,0.0003299914,0.0004939335,0.000866345,0.0004993931,0.0008652741,0.0005951804,0.000368667,0.08940218],"category_scores_gemma":[0.005661698,0.0002866506,0.0003362425,0.001505705,0.00003406556,0.001879863,0.00007165631,0.0003163058,0.1482578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000459259,"about_ca_system_score_gemma":0.003033309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009607166,"about_ca_topic_score_gemma":0.0001028896,"domain_scores_codex":[0.9931979,0.0004119988,0.001458943,0.0005714062,0.004073548,0.0002862145],"domain_scores_gemma":[0.9940382,0.0008375981,0.001079411,0.0006929029,0.00312226,0.0002296106],"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":[0.00002709325,0.00001265117,0.000005128698,0.00001231113,0.00002558463,8.414348e-9,0.0004528151,0.003091583,0.000007992237,0.0001128897,0.65496,0.3412919],"study_design_scores_gemma":[0.00123956,0.0001514401,0.000208353,0.0000291444,0.000154721,0.000001406759,0.0003539149,0.08112878,0.0001837874,0.003232434,0.9130333,0.0002831502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009861552,0.001020336,0.112674,0.01985888,0.03588432,0.004990023,0.0005829294,0.0001518121,0.824739],"genre_scores_gemma":[0.003449521,0.000627753,0.006058853,0.00404276,0.006766113,0.001833453,0.009007188,0.00006886006,0.9681455],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3410088,"threshold_uncertainty_score":0.9999586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2442056670308427,"score_gpt":0.5390197065552901,"score_spread":0.2948140395244474,"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."}}