{"id":"W4233300610","doi":"10.1002/jca.21581","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Journal of Clinical Apheresis","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Citation; Information retrieval; Library science; Computer 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":[0.00103236,0.001333047,0.001180121,0.002820323,0.001557905,0.007238584,0.001618626,0.002187305,0.9125686],"category_scores_gemma":[0.006285004,0.0005389174,0.0008247587,0.00277423,0.0005044441,0.004324994,0.001846714,0.002147257,0.8858403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223749,"about_ca_system_score_gemma":0.001805471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002342487,"about_ca_topic_score_gemma":0.003584961,"domain_scores_codex":[0.9991773,0.0000777559,0.0000674507,0.0001186717,0.0004499684,0.0001088869],"domain_scores_gemma":[0.9955353,0.0005134675,0.0002044512,0.0004353688,0.002000514,0.001310858],"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":[0.00001342341,0.00001275837,0.00003156385,0.0000771401,7.648339e-7,0.00001056368,0.000004884084,0.00001781965,0.00005185584,0.0006197974,0.9793308,0.0198286],"study_design_scores_gemma":[0.00001017174,0.00001086732,0.0001748695,0.00006896882,8.223191e-7,0.00002344081,0.00001750077,0.00002533688,0.00005288678,0.0004881686,0.9991238,0.000003272802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002351531,0.0009587837,0.0006221172,0.003279717,0.01462552,0.0003729314,0.0168743,0.002188475,0.960843],"genre_scores_gemma":[0.0008402093,0.000731385,0.0002878428,0.00143008,0.002355613,0.00009431258,0.008003102,0.0005556379,0.9857019],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08743137,"threshold_uncertainty_score":0.1247103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05082479128745573,"score_gpt":0.3399067568800354,"score_spread":0.2890819655925797,"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."}}