{"id":"W4224090826","doi":"10.1089/ipm.09.02.18","title":"Protecting Patient Privacy in Clinical Trials with Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"Inside Precision Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medical school; Clinical trial; Download; Artificial intelligence; Informatics; Medical education; Psychology; Medicine; Computer science; Political science; Pathology; World Wide Web; Law","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":[0.114283,0.0007856049,0.002416992,0.001881271,0.002247244,0.01472722,0.002735046,0.008029082,0.005489277],"category_scores_gemma":[0.2548312,0.0014719,0.002119856,0.002220946,0.01062195,0.01252789,0.006285724,0.009976692,0.001583187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002806969,"about_ca_system_score_gemma":0.007214888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007293928,"about_ca_topic_score_gemma":0.0005552163,"domain_scores_codex":[0.747628,0.2134331,0.008993927,0.007913456,0.01943592,0.002595513],"domain_scores_gemma":[0.5945256,0.3244051,0.02370248,0.04942007,0.00581598,0.002130692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001768776,0.0002301562,0.01100702,0.001686877,0.0008676674,0.001213278,0.00423685,0.0104559,0.001665741,0.72628,0.02594825,0.2146396],"study_design_scores_gemma":[0.0003215959,0.0003286279,0.002404609,0.001800427,0.0004421037,0.00215331,0.0006578659,0.02474863,0.00487994,0.8813695,0.08080451,0.00008883489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03941372,0.01827087,0.6502964,0.1644427,0.002107552,0.001153826,0.00121379,0.0006298841,0.1224712],"genre_scores_gemma":[0.8388227,0.00568269,0.1118408,0.0313546,0.003507266,0.0009563091,0.0005331074,0.000166533,0.007136079],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.114283,"threshold_uncertainty_score":0.6043932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5744571993922551,"score_gpt":0.5574032148376339,"score_spread":0.01705398455462126,"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."}}