{"id":"W4245327550","doi":"10.1111/ddi.12803","title":"Issue Information","year":2019,"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; World Wide Web; Library science; Diversity (politics); Political science; Law","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":[0.0009543002,0.001545948,0.00118202,0.003149133,0.001584453,0.007123124,0.001705515,0.002368076,0.9236152],"category_scores_gemma":[0.005150839,0.0006445896,0.0007666462,0.003454328,0.0004787644,0.004488525,0.001863967,0.002206905,0.8990625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277923,"about_ca_system_score_gemma":0.002088767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002903296,"about_ca_topic_score_gemma":0.004963496,"domain_scores_codex":[0.999132,0.00007119448,0.00006026544,0.0001358901,0.0004980299,0.0001026661],"domain_scores_gemma":[0.9964291,0.0003655894,0.0001735943,0.0003502911,0.001716809,0.0009646486],"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":[0.000009885092,0.00001207434,0.00002551621,0.00007381648,7.000671e-7,0.000007345626,0.00000411947,0.00001369462,0.00005942781,0.000578449,0.9816595,0.01755555],"study_design_scores_gemma":[0.000007159123,0.000008907819,0.0001576764,0.00005801055,8.412439e-7,0.00001752207,0.00001288341,0.00002031096,0.00004515148,0.00035873,0.9993099,0.000002951829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001656448,0.000735293,0.0005330935,0.002066785,0.007520447,0.0003514386,0.01905023,0.001679556,0.9678976],"genre_scores_gemma":[0.0005642352,0.0005820904,0.0002407739,0.001079557,0.001196802,0.00008213415,0.00904741,0.0004665596,0.9867404],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07638484,"threshold_uncertainty_score":0.1089537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736705034395657,"score_gpt":0.2048516034007005,"score_spread":0.1874845530567439,"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."}}