{"id":"W3216187193","doi":"10.1016/j.cpet.2021.11.002","title":"Taming the Complexity: Using Artificial Intelligence in a Cross-Disciplinary Innovative Platform to Redefine Molecular Imaging and Radiopharmaceutical Therapy","year":2021,"lang":"en","type":"editorial","venue":"PET Clinics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artificial intelligence; Deep learning; Big data; Medical imaging; Medicine; Applications of artificial intelligence; Health care; Data science; Medical physics; Computer science; Law; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01023294,0.003230245,0.003260354,0.003100146,0.002639357,0.01032825,0.004917025,0.02017079,0.00631974],"category_scores_gemma":[0.02769402,0.001181855,0.002525076,0.001270191,0.004414726,0.006551693,0.002113608,0.02721117,0.005345129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002801801,"about_ca_system_score_gemma":0.003203525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708934,"about_ca_topic_score_gemma":0.005612612,"domain_scores_codex":[0.9929734,0.001689927,0.0008039905,0.0005717935,0.003659437,0.0003013263],"domain_scores_gemma":[0.9678814,0.02134616,0.001081569,0.0006203689,0.006376842,0.002693643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003192608,0.00001593125,0.00001503101,0.0003588306,0.00003490953,0.00008104464,0.00002518331,0.00003983737,0.00006916854,0.001153067,0.9894869,0.008688255],"study_design_scores_gemma":[0.00005283409,0.0000362049,0.0001482778,0.0005439814,0.00006810537,0.0002557821,0.00005366912,0.0002826453,0.000137224,0.003766776,0.9946248,0.00002962226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003839652,0.01914922,0.00034957,0.03974602,0.9391801,0.00001682746,0.00002802987,0.00005842745,0.001433446],"genre_scores_gemma":[0.0003757246,0.01069294,0.0002036989,0.01905352,0.9651778,0.00001556923,0.00001276327,0.00002760774,0.004440442],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02017079,"threshold_uncertainty_score":0.05411762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0995162434095314,"score_gpt":0.4627139241597098,"score_spread":0.3631976807501784,"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."}}