{"id":"W4404239794","doi":"10.3390/electronics13224405","title":"Health Risk Assessment Using Machine Learning: Systematic Review","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada First Research Excellence Fund","keywords":"Computer science; Risk assessment; Systematic review; Artificial intelligence; Machine learning; Risk analysis (engineering); Engineering; Medicine; MEDLINE; Political science; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004688505,0.0002328589,0.0008155283,0.0001181157,0.001294553,0.00002860892,0.0002342866,0.0001474525,0.0003814018],"category_scores_gemma":[0.000983972,0.0001899813,0.0001415624,0.0005895682,0.00002694123,0.0001278967,0.00008736085,0.003130522,0.0007505511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002488885,"about_ca_system_score_gemma":0.003769908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001343479,"about_ca_topic_score_gemma":0.00248638,"domain_scores_codex":[0.9934382,0.003223832,0.001411358,0.0004195944,0.00042848,0.001078468],"domain_scores_gemma":[0.9975914,0.001054336,0.0005019864,0.0004590783,0.0001825692,0.0002105803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000005364256,0.00004921033,0.006758947,0.9710903,0.0001341541,0.00001601254,0.002118889,0.0001014782,0.00003435778,0.01416317,0.002725694,0.002802428],"study_design_scores_gemma":[0.0001237169,0.0007804753,0.000101588,0.5898198,0.0006338257,0.0000467733,0.001552448,0.2960854,0.00003083385,0.005331113,0.1047822,0.000711888],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006956982,0.9741532,0.003629529,0.008381627,0.001120771,0.00444061,0.00002767251,0.0006369351,0.0006526292],"genre_scores_gemma":[0.2547933,0.7250172,0.002254666,0.009816293,0.0007851684,0.0008871812,0.0001360562,0.0002728057,0.006037292],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3812705,"threshold_uncertainty_score":0.9991693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236808230163469,"score_gpt":0.5284848871635844,"score_spread":0.4048040641472375,"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."}}