{"id":"W7132959475","doi":"","title":"Rethinking Clinical De-identification","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vector Institute","keywords":"Focus (optics); Confidentiality; Task (project management); Scope (computer science); Bottleneck; Identity (music); Recall; Identification (biology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02898921,0.0009247798,0.001058487,0.003371707,0.001864539,0.006834052,0.003277134,0.002369213,0.003971832],"category_scores_gemma":[0.1212467,0.0007224455,0.0008018833,0.002139572,0.003421504,0.01106896,0.008511098,0.005664123,0.004631874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016235,"about_ca_system_score_gemma":0.004978841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309432,"about_ca_topic_score_gemma":0.00193385,"domain_scores_codex":[0.9600797,0.02401488,0.003264714,0.006094616,0.005764051,0.0007820256],"domain_scores_gemma":[0.8733442,0.06539729,0.009582327,0.03427576,0.01612933,0.001271018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002357368,0.0002499975,0.01137604,0.0008280941,0.00009718601,0.0004335513,0.005457382,0.01002557,0.01027964,0.08564262,0.03178871,0.8435854],"study_design_scores_gemma":[0.0001386272,0.0003053041,0.009883993,0.001946658,0.0001181843,0.002756655,0.006318924,0.2377197,0.06417875,0.3772793,0.2990193,0.0003346334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04122093,0.002071308,0.9234816,0.01477379,0.002164032,0.0005683106,0.001012972,0.004600185,0.01010686],"genre_scores_gemma":[0.3951784,0.001992695,0.5796924,0.004203458,0.001171355,0.0005528401,0.00354073,0.001105647,0.01256245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02898921,"threshold_uncertainty_score":0.1533114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1299195252492299,"score_gpt":0.4666195749250758,"score_spread":0.3367000496758459,"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."}}