{"id":"W4239567217","doi":"10.1111/biom.12794","title":"Issue Information - Masthead","year":2018,"lang":"en","type":"paratext","venue":"Biometrics","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":[0.0009709098,0.001151172,0.001254681,0.001905997,0.001618131,0.00631353,0.00150148,0.002552251,0.9452601],"category_scores_gemma":[0.005912361,0.0006494017,0.0006382117,0.002499345,0.0005009255,0.004779925,0.001802366,0.002234529,0.9249934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115586,"about_ca_system_score_gemma":0.001566352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003183693,"about_ca_topic_score_gemma":0.004493864,"domain_scores_codex":[0.9992645,0.00007928417,0.00005071942,0.000111562,0.0003929979,0.0001008967],"domain_scores_gemma":[0.9962642,0.0007008329,0.0001602547,0.0004614537,0.001656712,0.0007566015],"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":[0.00001290796,0.00001143803,0.00002339899,0.00005469822,5.294383e-7,0.000008065417,0.000006266072,0.0000127146,0.00004736811,0.0005266081,0.9878741,0.01142196],"study_design_scores_gemma":[0.00001201996,0.00001243852,0.0001830414,0.00005776788,7.673786e-7,0.00001594439,0.00001968012,0.00003020887,0.00005943476,0.0003860083,0.9992188,0.000003919422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001752604,0.0003151677,0.00043818,0.001438048,0.004595147,0.0002909531,0.01298831,0.002143137,0.9776159],"genre_scores_gemma":[0.0006150106,0.0001852499,0.0001171204,0.0005975667,0.0005703179,0.00006013408,0.003812653,0.0006258853,0.9934161],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05473989,"threshold_uncertainty_score":0.07807982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616060814303882,"score_gpt":0.2445259973987821,"score_spread":0.2183653892557433,"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."}}