{"id":"W4252843310","doi":"10.1002/ana.25402","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Annals of Neurology","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Annals; Citation; Computer science; Information retrieval; Library science; History; Classics","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":[0.0002754777,0.0001619752,0.0006955574,0.0003832199,0.00003527975,0.0000286626,0.0003227527,0.000262841,0.05261777],"category_scores_gemma":[0.00006057862,0.0001930848,0.0001676807,0.00009645156,0.0001070227,0.0002756843,0.000153638,0.0001853124,0.6881232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004482974,"about_ca_system_score_gemma":0.00001927288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001184123,"about_ca_topic_score_gemma":0.000001087072,"domain_scores_codex":[0.9986863,0.00001099309,0.0007077396,0.000302195,0.00002181964,0.0002709796],"domain_scores_gemma":[0.9986323,0.00004610105,0.0008522301,0.0003739671,0.00005957124,0.0000358971],"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":[0.00002066182,0.00001422755,0.0001010278,0.00006785779,0.00006676116,2.907275e-7,0.000151613,0.0001751572,2.046193e-7,0.007246341,0.9918956,0.0002602222],"study_design_scores_gemma":[0.0001459637,0.0001213822,0.0002566489,0.000004807478,0.000002220032,0.000001028377,0.00001691609,0.00007550354,0.00001256637,0.0007028782,0.9985108,0.0001492434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008828618,0.001909112,0.00003129272,0.002185343,0.02422526,0.0001543082,0.002166814,0.000007916218,0.9684371],"genre_scores_gemma":[0.006713166,0.0039428,0.00001229781,0.007989277,0.0002551115,0.00001028386,0.0001951454,0.00001590548,0.980866],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6355054,"threshold_uncertainty_score":0.9482483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08091191826655937,"score_gpt":0.2633618762650056,"score_spread":0.1824499579984463,"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."}}