{"id":"W6907950096","doi":"10.25384/sage.22010449","title":"sj-docx-1-ctj-10.1177_17407745221149222 – Supplemental material for A hybrid automated event adjudication system for clinical trials","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute; McMaster University","funders":"","keywords":"Adjudication; Event (particle physics); Clinical trial; Event data","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":[0.01160789,0.001794557,0.00309575,0.005353707,0.001501174,0.007061729,0.004510739,0.004231947,0.9528711],"category_scores_gemma":[0.1266186,0.003272071,0.001952434,0.007339932,0.001286337,0.00592105,0.004207028,0.003261487,0.7691253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003487982,"about_ca_system_score_gemma":0.00657181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005596434,"about_ca_topic_score_gemma":0.009510602,"domain_scores_codex":[0.9917265,0.001964445,0.002281188,0.001002808,0.002318734,0.0007063452],"domain_scores_gemma":[0.8443046,0.1032024,0.01052425,0.009351483,0.02674565,0.005871652],"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":[0.0001929021,0.00004345795,0.0001683589,0.0009457392,0.00001732569,0.00001534336,0.0000226973,0.00008632176,0.00007246651,0.00050349,0.9896585,0.008273394],"study_design_scores_gemma":[0.004057343,0.0002083448,0.004696682,0.001769132,0.0000809632,0.0001831217,0.0001402409,0.001177362,0.00131385,0.01039171,0.9757798,0.0002014556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002345164,0.0001331072,0.004594501,0.00183311,0.0008841705,0.00163528,0.9383926,0.02540732,0.02688529],"genre_scores_gemma":[0.008741209,0.0006573173,0.03001,0.00845849,0.002361341,0.01399803,0.7584189,0.04739141,0.1299632],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9528711,"threshold_uncertainty_score":0.06722361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.782974641663131,"score_gpt":0.6665223528253421,"score_spread":0.1164522888377889,"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."}}