{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009576656,0.001395829,0.001400801,0.00324081,0.00181369,0.008443447,0.001701341,0.00223733,0.9091077],"category_scores_gemma":[0.007117711,0.0005413825,0.0007845127,0.004511642,0.0005503466,0.004156696,0.001918678,0.002284121,0.8949605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383227,"about_ca_system_score_gemma":0.004234886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01264366,"about_ca_topic_score_gemma":0.02336351,"domain_scores_codex":[0.9989603,0.00008119738,0.00007922254,0.0001585552,0.0005708165,0.0001500027],"domain_scores_gemma":[0.9946355,0.0005086841,0.0002309125,0.0004729941,0.002857976,0.001293963],"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":[0.000007141342,0.00000599824,0.00002377847,0.00005197908,5.646403e-7,0.000006747367,0.000003934946,0.00001188442,0.00002408576,0.0004316528,0.9868791,0.01255325],"study_design_scores_gemma":[0.000004770684,0.000003630844,0.0001330069,0.00006142068,5.774321e-7,0.0000109696,0.00001085907,0.00001432025,0.00002151443,0.0002518901,0.9994848,0.000002341561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001344439,0.001046951,0.0004187144,0.003794056,0.0111821,0.0002283732,0.03394176,0.001592071,0.9476615],"genre_scores_gemma":[0.0006206981,0.0008795941,0.0002566563,0.00145558,0.001739811,0.00006730001,0.01261665,0.0005714832,0.9817923],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09089226,"threshold_uncertainty_score":0.1296468,"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."}}