{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006517876,0.002089548,0.001736788,0.003631926,0.002286296,0.00917543,0.002437121,0.002642975,0.9599014],"category_scores_gemma":[0.00441922,0.000838227,0.0009621304,0.004785387,0.0006443949,0.004228322,0.002056608,0.002173227,0.9334887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002389929,"about_ca_system_score_gemma":0.005178241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02066743,"about_ca_topic_score_gemma":0.03546439,"domain_scores_codex":[0.9994463,0.0000366713,0.00003048263,0.00009439384,0.0002734081,0.0001187126],"domain_scores_gemma":[0.9963112,0.0003727957,0.0001512843,0.0003143272,0.001591741,0.001258509],"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":[0.00001225792,0.00002657851,0.00003589962,0.00008458715,0.000001329038,0.000007289675,0.000003553408,0.00003951384,0.00006000919,0.0004163029,0.9844236,0.01488915],"study_design_scores_gemma":[0.00002362491,0.00001499843,0.0004030319,0.0001204961,0.000002259275,0.00001286483,0.00001694018,0.0000721182,0.00008679823,0.000516354,0.9987236,0.000007039463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001384766,0.0004374934,0.0003705203,0.001412094,0.004763226,0.0002521073,0.04296981,0.002125145,0.9475312],"genre_scores_gemma":[0.0005992022,0.0004301854,0.0002220993,0.0005619372,0.0005843378,0.00008077704,0.01437524,0.0006364404,0.9825099],"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."}}