{"id":"W6968129748","doi":"10.5281/zenodo.14604271","title":"TEI Technical Infrastructure","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"XSLT; XML; JSON; XQuery; Interoperability; Scripting language; Metadata","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006310324,0.001780379,0.001192539,0.007022455,0.002710053,0.008397451,0.005732508,0.002652961,0.2873231],"category_scores_gemma":[0.01286632,0.001116726,0.001049689,0.006824297,0.0009274301,0.007193318,0.008199912,0.003685356,0.3718842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003393952,"about_ca_system_score_gemma":0.00554832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004620231,"about_ca_topic_score_gemma":0.002698285,"domain_scores_codex":[0.995401,0.0007984415,0.0004494543,0.0007498672,0.001881994,0.0007192689],"domain_scores_gemma":[0.9887897,0.001201673,0.0004103274,0.003364563,0.004971427,0.001262314],"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":[0.0003129268,0.0001334612,0.0008098865,0.0008250642,0.00002980723,0.00033944,0.0005127603,0.001172681,0.004204322,0.05557837,0.8187658,0.1173154],"study_design_scores_gemma":[0.00002772531,0.00002453299,0.0002876206,0.0001004442,0.0000100879,0.0002187991,0.0001014284,0.001234251,0.001404669,0.005312914,0.9912526,0.00002499094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004126511,0.001514082,0.1401951,0.004630343,0.001922179,0.001462705,0.0589998,0.1443155,0.6428338],"genre_scores_gemma":[0.03697497,0.002701834,0.1354044,0.003432285,0.001338009,0.003644934,0.3529334,0.04915042,0.4144197],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9916025,"threshold_uncertainty_score":0.9611915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116692751318508,"score_gpt":0.2430114402166905,"score_spread":0.2218445127035054,"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."}}