{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001359306,0.0002288548,0.000913844,0.0003127056,0.0000562758,0.0004145404,0.0005135314,0.0003855873,0.02603238],"category_scores_gemma":[0.001176102,0.0001755693,0.0005932716,0.0003513632,0.00004761319,0.002374715,0.0001159189,0.0008428899,0.1383515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001982093,"about_ca_system_score_gemma":0.0001963136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003967837,"about_ca_topic_score_gemma":0.00000914098,"domain_scores_codex":[0.9966303,0.00003650157,0.002456425,0.0001296823,0.0005671734,0.0001799805],"domain_scores_gemma":[0.9905397,0.0002667641,0.007883128,0.0002488322,0.001032188,0.0000293796],"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":[0.0001424853,0.00006034349,0.001071883,0.0003062469,0.00007079767,0.000002953041,0.000004508178,0.0001442224,0.00000156667,0.0001883906,0.9562636,0.041743],"study_design_scores_gemma":[0.0008345325,0.00003287316,0.003502131,0.0003084766,0.00008354292,0.000001906451,0.00005813801,0.0001579868,0.000002866105,0.0002741782,0.994534,0.0002093589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0116692,0.0007812031,0.001346214,0.005202379,0.04940775,0.0003441726,0.00002076265,0.00002816223,0.9312001],"genre_scores_gemma":[0.1020297,0.002830537,0.001229661,0.04622014,0.09299537,0.000007512572,0.0002868937,0.0001366626,0.7542635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1769367,"threshold_uncertainty_score":0.974858,"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."}}