{"id":"W4386774680","doi":"10.1016/b978-0-443-15688-5.00025-5","title":"Artificial intelligence in general internal medicine","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Telemedicine; Telehealth; Patient safety; Health care; Intensive care medicine; Medical emergency","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":[0.0005093106,0.0009852701,0.0006884778,0.001856957,0.0006151376,0.003253543,0.0005443123,0.001609566,0.06981576],"category_scores_gemma":[0.001092011,0.0003699019,0.0003388665,0.002259621,0.001215544,0.002323344,0.00148083,0.002908711,0.03363667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143521,"about_ca_system_score_gemma":0.001156476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783335,"about_ca_topic_score_gemma":0.005704241,"domain_scores_codex":[0.9997613,0.00005846713,0.00001312795,0.0000264862,0.0001233259,0.00001733083],"domain_scores_gemma":[0.9996055,0.0002421774,0.00001879941,0.00003299119,0.00005933025,0.00004119206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001062213,0.00004658734,0.0001098073,0.0005913336,0.00001249109,0.00008617411,0.000303811,0.0006705319,0.0003717504,0.07903232,0.552718,0.3660465],"study_design_scores_gemma":[0.000003864188,0.000009149834,0.0002529008,0.0004703356,0.000004728942,0.0001592484,0.00005504108,0.0002206417,0.00004976313,0.03127117,0.9674984,0.000004675984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0004861895,0.1503312,0.005733798,0.006739687,0.004579424,0.00004233611,0.0001317509,0.0001706806,0.831785],"genre_scores_gemma":[0.003542652,0.0735383,0.005047484,0.004185452,0.002919706,0.00005580147,0.0001730748,0.0001048653,0.9104325],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.06981576,"threshold_uncertainty_score":0.233557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.17079962323771,"score_gpt":0.4064721334805388,"score_spread":0.2356725102428288,"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."}}