{"id":"W4394967699","doi":"10.5325/editwharrevi.39.2.v","title":"EDITOR’S NOTE","year":2023,"lang":"en","type":"article","venue":"Edith Wharton Review","topic":"American and British Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002272751,0.001107603,0.0009424957,0.001550924,0.002864188,0.006013184,0.0033048,0.006614137,0.4086435],"category_scores_gemma":[0.02129635,0.0005651047,0.001163485,0.0009059574,0.001207231,0.003167597,0.002421665,0.006618433,0.2275789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794016,"about_ca_system_score_gemma":0.005146391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338306,"about_ca_topic_score_gemma":0.007369553,"domain_scores_codex":[0.9967242,0.0003200412,0.000271995,0.0006929367,0.001632619,0.0003583554],"domain_scores_gemma":[0.9904974,0.001601826,0.0004059846,0.0007793391,0.005248275,0.0014672],"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":[0.000008081417,0.000005401548,0.00002699904,0.00005909737,0.0000013604,0.00005186557,0.00001871505,0.00001002415,0.00005006306,0.0006969186,0.9901953,0.008876078],"study_design_scores_gemma":[0.000003511088,0.000003362525,0.00006514033,0.00005658362,0.000001156713,0.00005425851,0.00002974865,0.00001448546,0.00004715199,0.0002539222,0.9994671,0.000003483312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002768507,0.003536545,0.0007859532,0.1120989,0.7520278,0.0001565018,0.001537452,0.0009577838,0.1286222],"genre_scores_gemma":[0.004189931,0.003527209,0.001299157,0.1015679,0.1468187,0.000190121,0.001073322,0.0008169302,0.7405168],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4086435,"threshold_uncertainty_score":0.8434982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365746805690398,"score_gpt":0.2620948353827425,"score_spread":0.2484373673258385,"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."}}