{"id":"W4324149157","doi":"10.3390/cancers15061751","title":"Machine Learning of Multi-Modal Tumor Imaging Reveals Trajectories of Response to Precision Treatment","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Sunitinib; Medicine; Artificial intelligence; Medical imaging; Computer science; Machine learning; Nuclear medicine; Radiology; Cancer; Internal medicine","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":[0.0008408533,0.0003026024,0.0004273731,0.000644919,0.000142523,0.0004364401,0.0002641368,0.0003999805,0.0004369935],"category_scores_gemma":[0.001980222,0.0001392923,0.0004256678,0.0003229059,0.0002950097,0.000336393,0.0002170085,0.000482258,0.0001574468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006382609,"about_ca_system_score_gemma":0.0003208059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002451974,"about_ca_topic_score_gemma":0.001784238,"domain_scores_codex":[0.9997799,0.00005793763,0.00001067663,0.00006620649,0.00004533387,0.0000399877],"domain_scores_gemma":[0.9994006,0.0002403054,0.0001840536,0.00005447707,0.00007766492,0.00004290111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001513201,0.0004337857,0.07889211,0.000231019,0.0002757423,0.000179896,0.0002631586,0.5363847,0.1707646,0.002453278,0.002110182,0.2064983],"study_design_scores_gemma":[0.00000551939,0.0001240704,0.03218179,0.00000572255,0.00001374509,0.00004277945,0.00002376811,0.9548798,0.01162878,0.0008128739,0.0002617245,0.0000193104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9138027,0.0003597893,0.08390459,0.0002006532,0.0000178747,0.00003966666,0.0004122299,0.0003892213,0.0008732767],"genre_scores_gemma":[0.988463,0.0000734248,0.01077439,0.00002079008,0.000005642647,0.00002693374,0.0003070491,0.00001680806,0.0003119535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002451974,"threshold_uncertainty_score":0.004875362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01923867940617929,"score_gpt":0.3311693829214438,"score_spread":0.3119307035152645,"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."}}