{"id":"W4402809248","doi":"10.1109/tcss.2024.3449748","title":"Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Blockchain; Computer science; Artificial intelligence; Computer security; Data science","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":[0.000330229,0.0001353179,0.0002597566,0.000343522,0.000864342,0.00002346186,0.00009168433,0.0002176893,0.000007954],"category_scores_gemma":[0.00003287703,0.0001373232,0.0000782421,0.0004631248,0.0001751849,0.0001205505,0.000002227711,0.0003737788,0.00001338306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166722,"about_ca_system_score_gemma":0.0001249143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009837437,"about_ca_topic_score_gemma":0.001614761,"domain_scores_codex":[0.9982293,0.0002044382,0.0007710407,0.0002995606,0.0002365537,0.0002590871],"domain_scores_gemma":[0.9981731,0.001382212,0.0001323543,0.00006948201,0.0002040966,0.00003875789],"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":[0.0003508399,0.0002970668,0.001352924,0.003973228,0.00006908587,0.000006363275,0.01402649,0.2002208,0.00143617,0.1001572,0.00002030617,0.6780895],"study_design_scores_gemma":[0.0001970082,0.000926586,0.001383039,0.002000682,0.00008249919,0.000003240945,0.05202284,0.6225309,0.004654085,0.3151246,0.0004952608,0.0005792556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2725742,0.001184389,0.7221401,0.0004375882,0.001709437,0.001401449,0.0002137234,0.0002965073,0.00004262556],"genre_scores_gemma":[0.9988886,0.00004179328,0.00009169673,0.00001070985,0.0001969203,0.0007155266,0.000004684878,0.00002198365,0.00002806405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7263144,"threshold_uncertainty_score":0.6647907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1044757528855138,"score_gpt":0.4437751951281108,"score_spread":0.339299442242597,"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."}}