{"id":"W4243967918","doi":"10.1002/jca.21580","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":[0.001056714,0.001315597,0.00117249,0.002721806,0.001532556,0.007033865,0.001599476,0.002180697,0.9116201],"category_scores_gemma":[0.00634839,0.000536308,0.0008424866,0.002683053,0.0004903516,0.004218091,0.001828386,0.002119585,0.8827432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199075,"about_ca_system_score_gemma":0.001796309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247887,"about_ca_topic_score_gemma":0.003487734,"domain_scores_codex":[0.99918,0.00007802695,0.00006965826,0.0001213878,0.0004441869,0.000106752],"domain_scores_gemma":[0.9955331,0.0005140384,0.0002037599,0.0004457505,0.001978407,0.001324801],"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":[0.00001403321,0.00001287924,0.00003307449,0.00008105172,7.998133e-7,0.00001100477,0.000004898656,0.00001811349,0.00005547822,0.000657709,0.977776,0.02133503],"study_design_scores_gemma":[0.000009813322,0.00001045484,0.0001653973,0.00006628868,7.974458e-7,0.00002342705,0.00001627032,0.00002451522,0.00005133802,0.0004720166,0.9991565,0.000003098465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002392554,0.001010385,0.0006604668,0.003346655,0.01497788,0.0003793593,0.01704293,0.002248437,0.9600947],"genre_scores_gemma":[0.000870293,0.0007833862,0.0003132345,0.001519448,0.002419307,0.00009686707,0.008003851,0.0005771111,0.9854165],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08837986,"threshold_uncertainty_score":0.126063,"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."}}