{"id":"W4323033993","doi":"10.1002/9781119790686.ch35","title":"Future Developments and Assimilation of AI in Radiology","year":2023,"lang":"en","type":"other","venue":"AI in Clinical Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; University of British Columbia","funders":"","keywords":"Radiology; Medical imaging; Medicine; Medical physics","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":[0.001271954,0.0001416237,0.00078591,0.0004589306,0.000008955059,9.778478e-7,0.00006257811,0.0007488614,0.0003231491],"category_scores_gemma":[0.002390339,0.0001101844,0.00003147015,0.0003627364,0.0002456742,0.00001769391,0.00002199574,0.0008080884,0.00003142096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006181209,"about_ca_system_score_gemma":0.0002843488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722811,"about_ca_topic_score_gemma":0.005257496,"domain_scores_codex":[0.9978921,0.0001316564,0.001282691,0.0003236624,0.000180676,0.0001892101],"domain_scores_gemma":[0.9984964,0.0008740067,0.0002423068,0.0002069654,0.00006522694,0.000115139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009086508,0.00009146672,0.5869615,0.0002760332,0.00002762149,0.00002219591,0.0004961493,2.609212e-7,0.000004725544,0.0001243722,0.1897862,0.2221186],"study_design_scores_gemma":[0.0005090693,0.0006590375,0.8012472,0.00400481,0.00005179415,0.00001143441,0.0006220628,0.00006734859,0.00001129907,0.001514553,0.1911671,0.0001343241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1802365,0.01797317,0.0004207408,0.5604955,0.04581743,0.006604297,0.00002788887,0.0006778148,0.1877467],"genre_scores_gemma":[0.7002466,0.08106948,0.001819694,0.04419276,0.02345263,0.0002025045,0.0004701907,0.001166147,0.1473799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5200102,"threshold_uncertainty_score":0.5775905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2735567454123068,"score_gpt":0.5628280263052654,"score_spread":0.2892712808929586,"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."}}