{"id":"W2912400053","doi":"10.1161/str.50.suppl_1.wp412","title":"Abstract WP412: Use of Interactive Cluster Heatmaps and Text Analytics in the Escape-na1 Phase 3 Clinical Trial for Pharmacovigilance of Adverse Events and Site Performance","year":2019,"lang":"en","type":"article","venue":"Stroke","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"NoNO (Canada)","funders":"","keywords":"Medicine; Analytics; Clinical trial; Pharmacovigilance; Visual analytics; Cluster (spacecraft); Visualization; Adverse effect; Data mining; Computer science; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.006046487,0.001827069,0.0009718446,0.003490408,0.0007263193,0.002854681,0.001327385,0.0006234355,0.04416098],"category_scores_gemma":[0.02229234,0.0004977413,0.001360697,0.003146773,0.0004899965,0.001985204,0.002612285,0.001319914,0.005728299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008292043,"about_ca_system_score_gemma":0.001435566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004847498,"about_ca_topic_score_gemma":0.004633431,"domain_scores_codex":[0.9976803,0.0008310422,0.0002300667,0.0004956552,0.0006275591,0.000135305],"domain_scores_gemma":[0.9871174,0.008581725,0.001043567,0.001231005,0.001638027,0.0003883622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008338795,0.0006934928,0.02937532,0.003014666,0.0009793157,0.0006378886,0.004180715,0.03320275,0.01243601,0.009218738,0.4245187,0.4734037],"study_design_scores_gemma":[0.002652937,0.001451589,0.0959005,0.001238112,0.0009083961,0.0007093341,0.002379732,0.5585366,0.05577102,0.06835233,0.2110092,0.001090128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1056205,0.0007793539,0.3230234,0.003690065,0.001059454,0.004001747,0.2515513,0.2845656,0.02570865],"genre_scores_gemma":[0.4782811,0.0007267431,0.4054223,0.0009131945,0.0004834557,0.009474698,0.07062488,0.02518176,0.008891908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04416098,"threshold_uncertainty_score":0.1477332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042298807104732,"score_gpt":0.3414308385026674,"score_spread":0.3110078504316201,"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."}}