{"id":"W4247998422","doi":"10.1111/ddi.12646","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Diversity and Distributions","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; Information retrieval; Diversity (politics); World Wide Web; Library science; Data science; Sociology; Anthropology","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":[0.0009378975,0.001565208,0.001238842,0.003107559,0.001686918,0.007350616,0.00175051,0.002269211,0.928952],"category_scores_gemma":[0.005474885,0.0006415864,0.0007635975,0.003415599,0.0004918517,0.004909685,0.001978479,0.002160472,0.9004838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229413,"about_ca_system_score_gemma":0.001916993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002457405,"about_ca_topic_score_gemma":0.004250147,"domain_scores_codex":[0.9991385,0.00007212862,0.00005998636,0.0001370162,0.0004874929,0.0001047849],"domain_scores_gemma":[0.9961525,0.0004013242,0.000194287,0.0004101744,0.001726164,0.001115608],"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":[0.0000107509,0.00001304119,0.0000300973,0.00007682551,7.34606e-7,0.000007947785,0.00000459385,0.00001481456,0.00005426061,0.000543102,0.9815289,0.01771499],"study_design_scores_gemma":[0.000007891005,0.000009768524,0.0001822681,0.00005969714,8.578934e-7,0.00001882557,0.00001597212,0.00002159458,0.0000450545,0.0003744738,0.9992606,0.00000300297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000185856,0.000748159,0.0005016642,0.002092802,0.007916375,0.0003505853,0.01722547,0.001820188,0.9691589],"genre_scores_gemma":[0.0006708493,0.0005813188,0.0002317506,0.0009950401,0.00143177,0.00008244389,0.00854959,0.0005172997,0.98694],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07104802,"threshold_uncertainty_score":0.1013413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903748993293035,"score_gpt":0.2113216595785129,"score_spread":0.1922841696455825,"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."}}