{"id":"W4382069942","doi":"10.1111/aehr.12273","title":"Editor's notes and announcements","year":2023,"lang":"en","type":"article","venue":"Asia‐Pacific Economic History Review","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Publication; Publishing; China; Payment; History; Library science; Political science; Media studies; Economic history; Law; Sociology; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0009022114,0.0002611766,0.0009701225,0.0001655025,0.0002282141,0.00002209114,0.0002455483,0.0001164426,0.001495522],"category_scores_gemma":[0.0001578765,0.0003218359,0.0002022988,0.000123223,0.0002137252,0.0002552378,0.0001041202,0.0001633813,0.01542905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194077,"about_ca_system_score_gemma":0.00006685696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002580901,"about_ca_topic_score_gemma":0.0000319255,"domain_scores_codex":[0.997909,0.00002751548,0.0009480325,0.00066816,0.00002932786,0.0004179586],"domain_scores_gemma":[0.9988724,0.0001098742,0.0004416076,0.000390182,0.00001667719,0.0001692462],"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":[0.000002716165,0.00001956817,0.005533003,0.0003708561,0.00007867696,0.000003394177,0.0005502191,0.000001343807,0.000001174545,0.03691489,0.9523809,0.004143242],"study_design_scores_gemma":[0.0001972347,0.00003001296,0.0009271823,0.0001078019,0.00001521518,0.000001923042,0.0001085371,0.00006812568,2.070672e-7,0.002513804,0.995686,0.000343955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002136683,0.5410663,0.00007765714,0.005393007,0.01803144,0.0007741071,0.0003472595,0.0003450019,0.4318285],"genre_scores_gemma":[0.07052823,0.8519254,0.0003434092,0.002746905,0.006593225,0.0005443739,0.0002362694,0.000183273,0.06689889],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3649296,"threshold_uncertainty_score":0.9999233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05927610064664993,"score_gpt":0.2383642610443568,"score_spread":0.1790881603977069,"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."}}