{"id":"W4237420415","doi":"10.1002/glia.23654","title":"Issue Information ‐ Table of Contents","year":2020,"lang":"en","type":"paratext","venue":"Glia","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Citation; Table of contents; Information retrieval; Computer science; World Wide Web; Data science; Library science; Data mining","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":[0.0003848529,0.0002405662,0.0005208191,0.00009285397,0.00008381358,0.0001950273,0.0008480743,0.0001957009,0.05214499],"category_scores_gemma":[0.0003812557,0.0002149915,0.00005539704,0.0002244536,0.0001406751,0.0005606597,0.0002764552,0.0002011425,0.1437106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004131681,"about_ca_system_score_gemma":0.0001329598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005297441,"about_ca_topic_score_gemma":0.000002060516,"domain_scores_codex":[0.9980943,0.0001233826,0.0006271317,0.0002858395,0.0005554403,0.000313859],"domain_scores_gemma":[0.9985153,0.00004273532,0.0007446561,0.000398642,0.0001968401,0.0001018214],"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":[0.00003003657,0.000009801634,0.0000126145,0.0004353887,0.000004184054,8.882377e-7,0.000310687,0.0009841442,0.2354417,0.00006428292,0.7625162,0.0001900864],"study_design_scores_gemma":[0.0001982672,0.00008459506,0.00005567322,0.000126845,0.00001310318,0.00000239114,0.00003761958,0.0006099595,0.12576,0.000025967,0.8728611,0.0002244591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05120216,0.001098137,0.01224037,0.002622938,0.08182076,0.002182514,0.00481253,0.000444374,0.8435762],"genre_scores_gemma":[0.2778141,0.0005108008,0.03971745,0.00689417,0.0048707,0.0002673613,0.003591222,0.0002351973,0.666099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.226612,"threshold_uncertainty_score":0.9487215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256581146991849,"score_gpt":0.2631035216596465,"score_spread":0.250537710189728,"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."}}