{"id":"W4237910465","doi":"10.1111/vox.12591","title":"Issue Information","year":2018,"lang":"en","type":"paratext","venue":"Vox Sanguinis","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003657625,0.0002638287,0.0006066518,0.0004238066,0.0001796329,0.0002525043,0.0004272615,0.0002803362,0.3572894],"category_scores_gemma":[0.00009086767,0.0003067321,0.0001909134,0.0001912585,0.0001635318,0.0004612621,0.0001933366,0.0001587382,0.9550825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245426,"about_ca_system_score_gemma":0.00003095215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002712905,"about_ca_topic_score_gemma":0.000004723418,"domain_scores_codex":[0.9983895,0.000006190302,0.0007683692,0.0004276387,0.00003876829,0.0003695086],"domain_scores_gemma":[0.9986672,0.00002174577,0.00064613,0.0005200783,0.000062238,0.00008256994],"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":[0.000004350962,0.0000117118,0.00003168973,0.00004564403,0.000087792,3.241734e-7,0.0009565356,0.00000379878,6.582995e-8,0.003594985,0.99463,0.0006331159],"study_design_scores_gemma":[0.0002254957,0.00003239878,0.00004625071,0.00002258223,0.000007469264,8.69763e-7,0.0003025768,0.00004061641,0.000008821809,0.0004960622,0.9984568,0.0003600353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007732044,0.002689495,0.0001334955,0.0002017767,0.03962977,0.0001867535,0.004747157,0.00003488267,0.9522994],"genre_scores_gemma":[0.0005244908,0.0008250598,0.000240483,0.0008731342,0.001614124,0.00003095555,0.0004549908,0.00002366106,0.9954131],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.597793,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02935979884075531,"score_gpt":0.2216219427201621,"score_spread":0.1922621438794067,"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."}}