{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002594383,0.0002576939,0.0002526113,0.003901981,0.0001489326,0.0008305029,0.000378186,0.0002708344,0.01669364],"category_scores_gemma":[0.0002649031,0.0002421401,0.00008456729,0.006824881,0.00005544733,0.001674276,0.0001846004,0.0001627048,0.4683063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006023625,"about_ca_system_score_gemma":0.0000484022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709868,"about_ca_topic_score_gemma":0.000006061832,"domain_scores_codex":[0.9987028,0.000005016763,0.0003988654,0.0002043406,0.0004319554,0.0002570178],"domain_scores_gemma":[0.9981355,0.00002366691,0.0009633611,0.0003149276,0.0005480496,0.00001449028],"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":[0.000007192697,0.00001870655,0.00005212915,0.0002871608,0.000009201774,4.614707e-7,0.000007452225,0.000002494084,0.000009363695,0.0004627699,0.9674628,0.03168026],"study_design_scores_gemma":[0.0002047381,0.000008533441,0.000331799,0.00004847692,0.00001903274,4.398075e-7,0.00002700679,0.0003166589,0.00002143664,0.00008481619,0.9986244,0.0003126031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007154753,0.0005942041,0.003817014,0.0007909716,0.01632682,0.0003990291,0.00008851335,0.0001628167,0.9771051],"genre_scores_gemma":[0.01791606,0.0006057136,0.0010167,0.01700524,0.03414356,0.00006951382,0.008390388,0.0001335392,0.9207193],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4516126,"threshold_uncertainty_score":0.9874188,"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."}}