{"id":"W4233380317","doi":"10.1002/inst.12035","title":"ISSUE INFORMATION–TOC","year":2016,"lang":"en","type":"paratext","venue":"Insight","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"Graduate School, University of Maryland","keywords":"Citation; Computer science; Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007539071,0.0002114388,0.0002679074,0.0001967145,0.00008426142,0.0002969516,0.001425992,0.0002673059,0.00166541],"category_scores_gemma":[0.00004778713,0.0001385202,0.00007890999,0.000167313,0.00005051208,0.001203114,0.0003647314,0.0001606258,0.1947384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004091722,"about_ca_system_score_gemma":0.0001781161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003078159,"about_ca_topic_score_gemma":0.000004096528,"domain_scores_codex":[0.9989036,0.00003472815,0.0002931981,0.0002279346,0.0002713873,0.0002691366],"domain_scores_gemma":[0.9987403,0.0001024419,0.0001742976,0.0008031484,0.0001170783,0.00006270899],"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":[0.000001161697,0.000005331829,0.000001846443,0.00003298676,0.00001484714,0.000004529309,0.0004869861,0.000001460246,0.00000631323,0.006905141,0.9426122,0.04992722],"study_design_scores_gemma":[0.0001450083,0.00002554285,0.00004413843,0.00007921785,0.000003184731,0.00001023,0.000006850855,0.00008367596,0.0006638421,0.000659156,0.9980485,0.0002306308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006829302,0.001456018,0.1920571,0.002712211,0.01117841,0.000145875,0.00001414992,0.0001453276,0.7922841],"genre_scores_gemma":[0.002924681,0.001497999,0.01383371,0.007004539,0.002272128,0.00008965394,0.00008133884,0.00002676055,0.9722692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.193073,"threshold_uncertainty_score":0.9992472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507647768276135,"score_gpt":0.2519468521128771,"score_spread":0.2368703744301157,"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."}}