{"id":"W4240378237","doi":"10.1002/hbm.24662","title":"Editorial board ‐ TOC","year":2020,"lang":"en","type":"paratext","venue":"Human Brain Mapping","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Editorial board; Citation; Computer science; Information retrieval; Data science; Library 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00260811,0.001595783,0.001193723,0.001539881,0.001494949,0.006572059,0.001938179,0.005736286,0.4300995],"category_scores_gemma":[0.01268905,0.000595526,0.0008544807,0.001051977,0.000903455,0.004233288,0.001474229,0.006505946,0.3613345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002179726,"about_ca_system_score_gemma":0.002571376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002418986,"about_ca_topic_score_gemma":0.004722608,"domain_scores_codex":[0.9986256,0.0001823223,0.0001125031,0.0001771725,0.0007200481,0.0001822915],"domain_scores_gemma":[0.9912179,0.001750536,0.0003843301,0.000335054,0.004083135,0.00222901],"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":[0.00001005626,0.000002372198,0.000004587124,0.00003300551,5.380311e-7,0.000006376291,8.663948e-7,0.000005402665,0.000009206876,0.0001195903,0.9961481,0.003659842],"study_design_scores_gemma":[0.00001380183,0.000004877501,0.0000493162,0.00007880887,0.000001476351,0.00001302799,0.000005350398,0.00002124252,0.00002055102,0.0001982986,0.9995905,0.000002727972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007917434,0.003588728,0.0002586192,0.03972313,0.8416099,0.0001493709,0.00153185,0.0004460206,0.1126132],"genre_scores_gemma":[0.001499669,0.007062583,0.0002664142,0.02963086,0.2806888,0.0001998839,0.001827177,0.0004586148,0.6783661],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4300995,"threshold_uncertainty_score":0.812894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02378938053505751,"score_gpt":0.2815078165445377,"score_spread":0.2577184360094801,"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."}}