{"id":"W4251878396","doi":"10.1002/glia.23494","title":"Issue Information ‐ Table of Contents","year":2019,"lang":"en","type":"paratext","venue":"Glia","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Citation; Table of contents; Information retrieval; Computer science; World Wide Web; Library science; Database","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":[0.0006517876,0.002089548,0.001736789,0.003631921,0.002286296,0.00917543,0.002437121,0.002642975,0.9599014],"category_scores_gemma":[0.00441922,0.0008382266,0.0009621291,0.004785383,0.0006443949,0.004228318,0.002056608,0.002173227,0.9334888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002389926,"about_ca_system_score_gemma":0.005178234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066738,"about_ca_topic_score_gemma":0.03546431,"domain_scores_codex":[0.9994463,0.00003667127,0.0000304826,0.00009439384,0.0002734079,0.0001187125],"domain_scores_gemma":[0.9963112,0.0003727954,0.0001512842,0.0003143272,0.00159174,0.001258507],"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":[0.00001225788,0.00002657845,0.00003589955,0.00008458707,0.000001329035,0.000007289675,0.000003553402,0.0000395138,0.00006000914,0.0004163025,0.9844236,0.01488915],"study_design_scores_gemma":[0.00002362484,0.00001499841,0.0004030313,0.000120496,0.000002259273,0.00001286481,0.00001694015,0.00007211806,0.00008679806,0.0005163533,0.9987236,0.000007039449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001384766,0.000437493,0.0003705206,0.001412095,0.004763229,0.0002521076,0.04296976,0.002125148,0.9475312],"genre_scores_gemma":[0.0005992013,0.000430185,0.0002220991,0.0005619366,0.0005843376,0.00008077704,0.01437522,0.0006364395,0.9825099],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04009861,"threshold_uncertainty_score":0.05719578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009963483485672366,"score_gpt":0.2629326840032154,"score_spread":0.252969200517543,"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."}}