{"id":"W3191528200","doi":"10.1109/bhi50953.2021.9508585","title":"Chatsum: An Intelligent Medical Chat Summarization Tool","year":2021,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Automatic summarization; Computer science; Upload; World Wide Web; Service (business); Usability; Multimedia; The Internet; Human–computer interaction; Information retrieval","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":[],"consensus_categories":[],"category_scores_codex":[0.0001881459,0.00008761111,0.00009372924,0.00001498536,0.00004570457,0.00002222965,0.0001417003,0.0002543241,0.000763036],"category_scores_gemma":[0.0004517474,0.00007182651,0.00004580454,0.00007528931,0.00008979911,0.000001782,0.0001216264,0.00007329364,0.00002971753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000056684,"about_ca_system_score_gemma":0.0001436807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009227963,"about_ca_topic_score_gemma":0.0001038923,"domain_scores_codex":[0.9991386,0.00005873029,0.0001510707,0.0002885743,0.0001920541,0.0001709713],"domain_scores_gemma":[0.9995028,0.00001126079,0.00002220313,0.0002646909,0.00007070195,0.0001282866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005482345,0.0003963182,0.007100057,0.00003097449,0.00008854441,0.00008823023,0.0001265415,0.000008814259,0.1221401,0.006243261,0.01365189,0.8500704],"study_design_scores_gemma":[0.0005429777,0.0004478639,0.003124009,0.00002854812,0.00001651836,0.0001103121,0.0005088553,0.001329176,0.5549415,0.0008024678,0.4377651,0.0003825915],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8879583,0.001703481,0.09901614,0.003223637,0.0006726315,0.00009117249,0.000007600868,0.00009830558,0.007228732],"genre_scores_gemma":[0.9860181,0.000916819,0.004165052,0.002743412,0.0005030386,0.00001168676,0.0005697816,0.00001586719,0.005056213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8496878,"threshold_uncertainty_score":0.8354709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0184921892785718,"score_gpt":0.2957641800822204,"score_spread":0.2772719908036486,"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."}}