{"id":"W4242793868","doi":"10.1111/ehr.12649","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"The Economic History Review","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00128481,0.001528417,0.001545814,0.004343384,0.00177984,0.009110223,0.0020433,0.00229785,0.8996863],"category_scores_gemma":[0.007636253,0.0005323686,0.0009786106,0.004634614,0.000676398,0.005828726,0.00243191,0.00214683,0.85158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505994,"about_ca_system_score_gemma":0.002889388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00250798,"about_ca_topic_score_gemma":0.00418888,"domain_scores_codex":[0.9986513,0.0001278401,0.0001121142,0.0002171653,0.0007335412,0.0001579186],"domain_scores_gemma":[0.9950652,0.0004899405,0.0002513289,0.0004827332,0.002405257,0.00130561],"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":[0.00001166275,0.00001092654,0.0000309141,0.0001636696,0.000001107093,0.00001141098,0.00000674004,0.00001052279,0.00006826488,0.000871191,0.9772295,0.02158415],"study_design_scores_gemma":[0.000004993176,0.000007220567,0.0001435585,0.0001093314,8.190823e-7,0.000017357,0.00001618865,0.000009850933,0.00002959185,0.0003412261,0.9993176,0.000002289326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002368323,0.002320756,0.0006428002,0.004505728,0.02256471,0.0005810523,0.02731455,0.001681501,0.9401521],"genre_scores_gemma":[0.0008360469,0.002134207,0.0004124902,0.001765986,0.003865822,0.000150122,0.01240466,0.0005258197,0.9779048],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1003137,"threshold_uncertainty_score":0.1430854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955202969839087,"score_gpt":0.2275792501040145,"score_spread":0.1980272204056236,"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."}}