{"id":"W3034203354","doi":"10.1016/j.ymeth.2020.06.008","title":"Artificial intelligence and radiomics in pediatric molecular imaging","year":2020,"lang":"en","type":"review","venue":"Methods","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Computer science; Radiomics; Artificial intelligence; Medical imaging; Dictation; Artificial neural network; Machine learning; Deep learning; Pattern recognition (psychology)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001872149,0.0003466924,0.001755908,0.0004378874,0.00003424891,0.00005055844,0.0001786994,0.0001659292,0.00002247677],"category_scores_gemma":[0.002135291,0.0002947841,0.0002576162,0.0007333059,0.00009321393,0.00003253492,0.0001465905,0.001506264,0.00001395378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000707,"about_ca_system_score_gemma":0.0002627474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001314187,"about_ca_topic_score_gemma":1.914447e-7,"domain_scores_codex":[0.9974687,0.0006933882,0.000765372,0.0005675034,0.0001872804,0.0003177686],"domain_scores_gemma":[0.998677,0.0005652803,0.0002002742,0.0002706473,0.0000215556,0.0002652618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004369919,0.00002025798,0.00007288977,0.005977028,0.00002539037,0.0005778491,0.00006358224,0.00000241438,0.000004407699,0.0004732375,0.0000333231,0.9927452],"study_design_scores_gemma":[0.00007169412,0.0000329323,0.00001137962,0.002257052,0.001128343,0.0005445928,0.00001549633,0.01205106,0.000008803916,0.001430821,0.9821143,0.0003335054],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004554106,0.7678542,0.2304829,0.0006590642,0.0002391857,0.0003507574,0.000001391056,0.00004010921,0.0003678343],"genre_scores_gemma":[0.000004589747,0.7497173,0.2494683,0.0003194577,0.0003833882,0.00002003219,0.00001391066,0.00006118273,0.00001188618],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9924117,"threshold_uncertainty_score":0.9999504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664160961612034,"score_gpt":0.4530318000856929,"score_spread":0.3866157039244895,"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."}}