{"id":"W4241865677","doi":"10.1002/jca.21637","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Journal of Clinical Apheresis","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":1,"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":[0.0009815991,0.001317365,0.001146419,0.00275687,0.001477359,0.007025404,0.001535982,0.002267657,0.90643],"category_scores_gemma":[0.005414264,0.0005442122,0.0007961402,0.002822496,0.0004926421,0.003854576,0.001707545,0.002172497,0.886418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123328,"about_ca_system_score_gemma":0.001860765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002622074,"about_ca_topic_score_gemma":0.004048076,"domain_scores_codex":[0.9992355,0.00007174477,0.00006226348,0.0001151285,0.0004165605,0.00009873396],"domain_scores_gemma":[0.9961831,0.0004285306,0.000175312,0.0003574497,0.001747551,0.001108058],"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":[0.00001282429,0.00001146851,0.00002730607,0.00006907879,7.222465e-7,0.000009945215,0.000004248389,0.00001635846,0.0000549232,0.0006559418,0.9796079,0.01952932],"study_design_scores_gemma":[0.000009128161,0.000009546071,0.0001510666,0.00006125619,7.860217e-7,0.00002074791,0.0000139428,0.0000246345,0.00004982953,0.0004635147,0.9991923,0.000003203336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001929091,0.0008350305,0.0005592273,0.002946356,0.01308145,0.0003108941,0.01568934,0.001851302,0.9645334],"genre_scores_gemma":[0.0006990274,0.0006474449,0.0002636545,0.001401891,0.001897898,0.00007930913,0.007023532,0.00045101,0.9875361],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09356999,"threshold_uncertainty_score":0.1334662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04630410093649452,"score_gpt":0.3306127422198137,"score_spread":0.2843086412833192,"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."}}