{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006701892,0.00195699,0.001524535,0.003144315,0.001670554,0.007935595,0.002328653,0.002749993,0.9634953],"category_scores_gemma":[0.004434447,0.0008411779,0.0009180252,0.003434384,0.0005874441,0.004624445,0.002256662,0.002251908,0.9449728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601325,"about_ca_system_score_gemma":0.002693512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005847108,"about_ca_topic_score_gemma":0.009104797,"domain_scores_codex":[0.9995373,0.0000399392,0.00002537371,0.00008335039,0.0002249782,0.00008909436],"domain_scores_gemma":[0.9967952,0.0003648835,0.0001313677,0.0002673083,0.001095507,0.001345739],"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":[0.0000127357,0.00002559317,0.0000350788,0.00006198502,0.00000110825,0.000006171024,0.00000267295,0.00004475586,0.00005539761,0.0004978604,0.9817567,0.01749982],"study_design_scores_gemma":[0.00003350187,0.00002283063,0.0003574698,0.0001068647,0.000002296265,0.00001677903,0.00001495492,0.000141178,0.0001020663,0.0008522685,0.998341,0.000008741059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001484828,0.000285288,0.0005033542,0.001268982,0.00412775,0.0002126707,0.0247838,0.002845882,0.9658238],"genre_scores_gemma":[0.0006048096,0.0002774373,0.000215588,0.0006188757,0.000608587,0.0000854816,0.00999497,0.0006771047,0.9869171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03650475,"threshold_uncertainty_score":0.05206949,"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."}}