{"id":"W4254452096","doi":"10.1002/glia.23650","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":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; Data 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":[0.0006701886,0.001956991,0.001524535,0.003144315,0.001670555,0.007935595,0.002328655,0.002749996,0.9634954],"category_scores_gemma":[0.004434447,0.0008411779,0.0009180261,0.003434384,0.000587445,0.004624452,0.002256664,0.002251909,0.9449729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601326,"about_ca_system_score_gemma":0.002693511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005847113,"about_ca_topic_score_gemma":0.009104797,"domain_scores_codex":[0.9995373,0.0000399392,0.00002537371,0.00008335055,0.0002249782,0.00008909444],"domain_scores_gemma":[0.9967952,0.0003648831,0.0001313676,0.0002673088,0.001095506,0.001345739],"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":[0.00001273572,0.00002559317,0.0000350788,0.00006198502,0.00000110825,0.000006171036,0.000002672955,0.00004475586,0.00005539772,0.0004978607,0.9817567,0.01749982],"study_design_scores_gemma":[0.0000335019,0.00002283069,0.0003574698,0.0001068646,0.00000229627,0.00001677903,0.00001495497,0.0001411781,0.0001020665,0.0008522701,0.998341,0.000008741076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001484828,0.0002852875,0.0005033542,0.00126898,0.004127746,0.000212671,0.02478376,0.002845886,0.9658238],"genre_scores_gemma":[0.0006048087,0.0002774363,0.0002155874,0.0006188736,0.0006085849,0.00008548152,0.009994937,0.0006771047,0.9869171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03650463,"threshold_uncertainty_score":0.05206937,"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."}}