{"id":"W3011668859","doi":"10.1080/19466315.2020.1736142","title":"Clinical Trial Drug Safety Assessment With Interactive Visual Analytics","year":2020,"lang":"en","type":"article","venue":"Statistics in Biopharmaceutical Research","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Eli Lilly (Canada)","funders":"","keywords":"Visual analytics; Leverage (statistics); Analytics; Computer science; Patient safety; Drug reaction; Clinical trial; Data science; Medicine; Visualization; Data mining; Artificial intelligence; Health care; Drug","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":[0.003768906,0.000192883,0.0003889205,0.0002425405,0.0001621787,0.0004085783,0.001166891,0.00008420849,0.000212972],"category_scores_gemma":[0.002304621,0.0001601988,0.00005359616,0.001885625,0.0004921825,0.000308803,0.0009100354,0.001664314,0.000165549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854542,"about_ca_system_score_gemma":0.0008012262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001534333,"about_ca_topic_score_gemma":0.00001959374,"domain_scores_codex":[0.9947157,0.001371018,0.000857866,0.0007779615,0.001607489,0.0006699851],"domain_scores_gemma":[0.9948776,0.003358569,0.0001054361,0.0003755974,0.0005630747,0.0007197628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0166067,0.00244332,0.00707061,0.000147884,0.0002071066,0.001079322,0.000892853,0.0002531488,0.0000760648,0.8608636,0.02256301,0.08779637],"study_design_scores_gemma":[0.01730996,0.001212279,0.001381458,0.00003440177,0.00001628161,0.000002133995,0.0002109343,0.9529701,0.00009745888,0.001882791,0.02462952,0.0002526655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002027713,0.00001804925,0.9894651,0.004820132,0.0002591639,0.0005961239,0.0001723908,0.00006864165,0.002572733],"genre_scores_gemma":[0.8377612,0.0004552169,0.158497,0.002407688,0.0004020992,0.00002568969,0.0001252156,0.00003360233,0.0002923064],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9527169,"threshold_uncertainty_score":0.723071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2941365035090849,"score_gpt":0.6015167684857263,"score_spread":0.3073802649766414,"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."}}