{"id":"W2989049020","doi":"10.1145/3357384.3358128","title":"Health Card Retrieval for Consumer Health Search","year":2019,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Automation, Chinese Academy of Sciences; University of California, San Diego; Wuhan University; Georgetown University; Technische Universität Berlin; Shanghai Jiao Tong University; Zhejiang University; Electronics and Telecommunications Research Institute; RMIT University; Tsinghua University; York University; Harbin University of Science and Technology; Harbin Institute of Technology; University of Illinois at Urbana-Champaign; Northeast Forestry University; Chinese Academy of Sciences; Tencent; Technische Universiteit Delft; Case Western Reserve University; Nanjing University; Microsoft Research; Lembaga Pengelola Dana Pendidikan; Università degli Studi di Udine; National University of Defense Technology; Arizona State University; University of North Carolina at Chapel Hill; Nanjing University of Aeronautics and Astronautics; Pennsylvania State University; Microsoft Research Asia; Peking University","keywords":"Computer science; Information retrieval; World Wide Web; Internet privacy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004866949,0.00008531002,0.0001923364,0.00002237642,0.00006538276,0.0000105875,0.0001197612,0.0001099121,0.00003381151],"category_scores_gemma":[0.00006613411,0.00006783292,0.00007025072,0.0000517062,0.00007231545,6.472804e-7,0.00005714109,0.00007011688,0.00004217936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001977844,"about_ca_system_score_gemma":0.0003800549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001047748,"about_ca_topic_score_gemma":0.00003382462,"domain_scores_codex":[0.999034,0.00005542563,0.0001669603,0.000279465,0.0001100808,0.0003540685],"domain_scores_gemma":[0.999492,0.00002781967,0.00004097852,0.0002475582,0.0000482214,0.0001433869],"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":[0.0009177701,0.0002040491,0.01846288,0.0006704485,0.0002399029,0.000001116621,0.0004846621,0.00001132568,0.05253885,0.001583716,0.5444835,0.3804018],"study_design_scores_gemma":[0.001440536,0.002782972,0.003035087,0.00002515023,0.000003023657,0.00001241892,0.0005297866,0.0001016801,0.01903002,0.00005627915,0.9727715,0.0002115046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327057,0.01101995,0.01977993,0.03058917,0.00100208,0.001393421,0.0001376059,0.0001114864,0.003260636],"genre_scores_gemma":[0.971694,0.000566101,0.01076083,0.006143288,0.000182502,0.000006727766,0.0002148162,0.00002079354,0.01041097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.428288,"threshold_uncertainty_score":0.2766146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126670483852918,"score_gpt":0.3521144026230345,"score_spread":0.3208476977845053,"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."}}