{"id":"W4241105396","doi":"10.1109/asonam49781.2020.9381462","title":"International Symposium on Network Enabled Health Informatics, Biomedicine and Bioinformatics (HI-BI-BI 2020) HI-BI-BI 2020 Organizing Committee","year":2020,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biomedicine; Informatics; Health informatics; Translational bioinformatics; Computer science; Translational research informatics; Data science; Library science; Bioinformatics; Medicine; Engineering; Health Administration Informatics; Biology; Genomics; Genome; Public health; Gene","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":[0.014793,0.001710033,0.001336065,0.002414796,0.001577949,0.005250158,0.002172383,0.002794571,0.03488717],"category_scores_gemma":[0.006319848,0.0005098082,0.001148536,0.002548623,0.0007313549,0.003122458,0.004320206,0.00362507,0.0257107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991582,"about_ca_system_score_gemma":0.00970442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010444,"about_ca_topic_score_gemma":0.01501072,"domain_scores_codex":[0.9967842,0.0008106062,0.0001288348,0.0003411256,0.001399343,0.0005359987],"domain_scores_gemma":[0.9879048,0.001187419,0.0002365687,0.0006494039,0.006161146,0.003860591],"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":[0.0002347159,0.0001940334,0.0008258196,0.0002743555,0.00004615818,0.00005746302,0.00003964463,0.001252422,0.002246054,0.01060178,0.8619226,0.1223051],"study_design_scores_gemma":[0.00002429912,0.0001219631,0.001629923,0.0002006644,0.00004060827,0.00008046682,0.00008328256,0.00871185,0.001718811,0.00532132,0.9820388,0.00002798415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01760042,0.05543615,0.2502724,0.1190722,0.205559,0.002656965,0.01726199,0.008019206,0.3241217],"genre_scores_gemma":[0.06118387,0.04484672,0.1766057,0.01895354,0.02341439,0.002073254,0.05223277,0.002563028,0.6181268],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9651128,"threshold_uncertainty_score":0.1167092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07397778458553507,"score_gpt":0.3924057457560479,"score_spread":0.3184279611705128,"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."}}