{"id":"W6930703420","doi":"10.5281/zenodo.15668019","title":"Long COVID SDOH NER","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Gastrointestinal Tumor Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; York University; University of Toronto","funders":"","keywords":"Named-entity recognition; Coronavirus disease 2019 (COVID-19); Named entity; Core (optical fiber); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Entity linking","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002046123,0.001559981,0.001123056,0.004757116,0.001070342,0.002017,0.00246443,0.00271585,0.09464938],"category_scores_gemma":[0.01109513,0.0005290532,0.001408135,0.002935652,0.0004670544,0.001512992,0.002972048,0.0012888,0.07789187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619866,"about_ca_system_score_gemma":0.002499764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111941,"about_ca_topic_score_gemma":0.02081906,"domain_scores_codex":[0.9982082,0.0004924369,0.0002851076,0.0005092667,0.0003257891,0.0001792287],"domain_scores_gemma":[0.9955811,0.001868088,0.0003530607,0.00101048,0.0008760966,0.0003110874],"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":[0.0002199643,0.00005066397,0.002186706,0.001966556,0.00006154651,0.0002279997,0.00006998325,0.0005730464,0.0004017093,0.000623635,0.9794204,0.01419789],"study_design_scores_gemma":[0.0003249132,0.0001020524,0.009255515,0.001401398,0.0001059685,0.0008719272,0.0003338831,0.002342394,0.001628429,0.002115542,0.9814382,0.0000798686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001169805,0.0004132727,0.0005927084,0.0002768564,0.0001660866,0.00009103227,0.9937456,0.001115047,0.00242963],"genre_scores_gemma":[0.001672879,0.00009236281,0.0008773225,0.0001329576,0.00003133467,0.0001779888,0.9955993,0.0001044781,0.001311446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9053506,"threshold_uncertainty_score":0.3166337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03511385695239359,"score_gpt":0.2959579317573016,"score_spread":0.260844074804908,"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."}}