{"id":"W4243122850","doi":"10.1111/ehr.12777","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"The Economic History Review","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; World Wide Web; Information retrieval; Library 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000932425,0.0001688979,0.0005602082,0.00003095475,0.0003472421,0.00002639065,0.0005638726,0.0001519899,0.06340169],"category_scores_gemma":[0.0000723847,0.0001326615,0.0002156275,0.00003378518,0.0003472398,0.0002381931,0.00005419346,0.0002444249,0.4645467],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007304947,"about_ca_system_score_gemma":0.001035578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007955951,"about_ca_topic_score_gemma":0.000823998,"domain_scores_codex":[0.9988781,0.0002492507,0.0003938783,0.0001321669,0.0001224536,0.0002241708],"domain_scores_gemma":[0.9990665,0.00009474919,0.0004334384,0.0003173993,0.00003732992,0.00005054513],"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":[4.494902e-7,0.000001217728,1.675312e-7,0.0006570509,0.00002622577,2.915839e-8,0.004998317,0.000001845026,4.058037e-9,0.003984443,0.9826056,0.007724599],"study_design_scores_gemma":[0.00003362476,0.00000565644,0.000001207161,0.0006606095,0.00004516753,9.390557e-8,0.0001553645,9.04235e-7,1.326504e-8,0.00002955937,0.9989027,0.0001651035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[3.55161e-7,0.4556319,0.000001631327,0.001247643,0.01614507,0.0004305744,0.00001635593,0.00001229315,0.5265142],"genre_scores_gemma":[0.000004724566,0.4626421,0.000002219778,0.00353712,0.001146276,0.00003970302,0.0000342261,0.000006465396,0.5325872],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.401145,"threshold_uncertainty_score":0.9986501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05181734844574021,"score_gpt":0.2736939188377393,"score_spread":0.2218765703919991,"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."}}