{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015669,0.0002283919,0.0008129816,0.0003100946,0.00009000053,0.0004455582,0.00053529,0.0003827446,0.0392214],"category_scores_gemma":[0.001610112,0.0001743856,0.0005317244,0.0003909516,0.0001018449,0.002282212,0.0001232525,0.0006762317,0.09906429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001874913,"about_ca_system_score_gemma":0.0001713585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003944203,"about_ca_topic_score_gemma":0.00001846981,"domain_scores_codex":[0.996577,0.00003831461,0.002515495,0.0001302944,0.0005530038,0.0001858738],"domain_scores_gemma":[0.9902273,0.0002026969,0.007806122,0.0002339867,0.001493952,0.00003588381],"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":[0.000150475,0.00006124788,0.0005298347,0.0001788129,0.00006784609,0.000003497224,0.000005706178,0.00001415832,0.000001191946,0.0001169312,0.9603474,0.03852294],"study_design_scores_gemma":[0.0006869331,0.00004528212,0.002637653,0.0002919744,0.00009937948,0.000002461835,0.00005108244,0.00009313323,0.000005090184,0.0005505483,0.9953328,0.0002036645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01568663,0.0005697684,0.001433038,0.004966435,0.03951389,0.0002619241,0.00001983754,0.0000346892,0.9375138],"genre_scores_gemma":[0.07423272,0.003137304,0.003048353,0.05845886,0.2688724,0.00001154425,0.0003132593,0.0001739589,0.5917516],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3457622,"threshold_uncertainty_score":0.9616569,"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."}}