{"id":"W4213042712","doi":"10.1002/glia.23490","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006042214,0.0002439255,0.0005330404,0.0001394922,0.00006910968,0.0001901798,0.0008611311,0.0002411702,0.06440882],"category_scores_gemma":[0.0002353133,0.0002122965,0.00005628722,0.0001734454,0.0001250381,0.0006671649,0.0002499764,0.0001828481,0.2665741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005301502,"about_ca_system_score_gemma":0.0001478517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007575507,"about_ca_topic_score_gemma":0.000002381578,"domain_scores_codex":[0.998053,0.0001204287,0.0006154353,0.000280108,0.0005733049,0.0003577097],"domain_scores_gemma":[0.998205,0.0000554654,0.0008302866,0.0006005301,0.0002462521,0.00006244921],"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":[0.00002968983,0.00001480056,0.00003952036,0.0005838798,0.000004690239,3.408071e-7,0.000218683,0.003343017,0.239257,0.00007780619,0.7562434,0.0001871787],"study_design_scores_gemma":[0.0002600225,0.00008577312,0.0001236813,0.0002063654,0.00001116533,0.000002782844,0.00003533297,0.0005627612,0.1051604,0.00002105061,0.8932685,0.000262167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1036294,0.0007571037,0.005892624,0.0004120608,0.1088153,0.001820587,0.002716837,0.000193431,0.7757626],"genre_scores_gemma":[0.1123766,0.0001302025,0.006707712,0.0008979812,0.0009425997,0.0000665011,0.0009769484,0.00006943417,0.8778321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2021652,"threshold_uncertainty_score":0.9364464,"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."}}