{"id":"W1605460754","doi":"10.1118/1.4925764","title":"TU‐G‐303‐04: Radiomics and the Coming Pan‐Omics Revolution","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiomics; Radiogenomics; Medical imaging; Medical physics; Artificial intelligence; Medicine; Precision medicine; Computer science; Machine learning; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01285156,0.001367035,0.001053428,0.002120719,0.001924121,0.01147064,0.00189558,0.007199754,0.03889804],"category_scores_gemma":[0.009983292,0.0005990492,0.00104753,0.002475062,0.004742003,0.007111597,0.003735167,0.008584573,0.01492171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003629192,"about_ca_system_score_gemma":0.002719119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002968262,"about_ca_topic_score_gemma":0.003402923,"domain_scores_codex":[0.9954594,0.00223902,0.0001247429,0.0006449511,0.001063392,0.0004685705],"domain_scores_gemma":[0.9927347,0.002952968,0.0002942248,0.0007554757,0.001615553,0.00164721],"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":[0.0001567663,0.00004527571,0.0005546553,0.0002747435,0.00002386454,0.0001464004,0.0004798197,0.0005492397,0.002393268,0.06328812,0.8212945,0.1107933],"study_design_scores_gemma":[0.00001387283,0.00005808442,0.001066069,0.0002300612,0.000008175806,0.0001354778,0.0003136273,0.0005602089,0.0005893178,0.0327523,0.9642303,0.00004244569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007112604,0.1226398,0.06164249,0.5042024,0.1517247,0.0002083898,0.003065075,0.003833034,0.1455716],"genre_scores_gemma":[0.07354496,0.09266633,0.05908634,0.1522581,0.1500425,0.0005281967,0.006180495,0.005438618,0.4602544],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03889804,"threshold_uncertainty_score":0.130127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697310245357827,"score_gpt":0.2880504822894855,"score_spread":0.2710773798359072,"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."}}