{"id":"W4392918018","doi":"10.1002/ev.20454","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"New Directions for Evaluation","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001231518,0.0001866003,0.0003856768,0.0006931963,0.0003197239,0.000213949,0.0001619176,0.000215526,0.06158159],"category_scores_gemma":[0.0004510375,0.0002386824,0.0002094433,0.0003830084,0.00003055889,0.0005967315,0.00004710036,0.0001068956,0.6890907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004244127,"about_ca_system_score_gemma":0.0001316253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005931383,"about_ca_topic_score_gemma":0.00004864489,"domain_scores_codex":[0.9985977,0.00001139823,0.0006856667,0.0003870104,0.00007181203,0.0002463983],"domain_scores_gemma":[0.9988297,0.00007244905,0.00056661,0.0002998587,0.00016803,0.00006339605],"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":[0.000006129307,0.000009866851,0.000003753407,0.00003432326,0.0001004734,7.894801e-9,0.0004233706,0.0008782115,1.385607e-7,0.002584629,0.9840921,0.01186701],"study_design_scores_gemma":[0.0007083343,0.00002441378,0.0000784635,0.00002070298,0.00004590741,2.626979e-7,0.0002105645,0.005679689,0.000006437537,0.004328458,0.9886546,0.0002421673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002110194,0.001660431,0.002791232,0.0005139823,0.06399715,0.00111235,0.003249346,0.00009140453,0.926563],"genre_scores_gemma":[0.00006492665,0.0009283246,0.0003159255,0.000118923,0.001174557,0.0004719561,0.002425662,0.00002912807,0.9944706],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6275091,"threshold_uncertainty_score":0.9733188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.090513352209208,"score_gpt":0.3024423793431357,"score_spread":0.2119290271339277,"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."}}