{"id":"W934017210","doi":"10.26481/dis.20101216ha","title":"Molecular imaging of biologic characteristics and drug uptake : towards personalized medicine using dose painting","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"KWF Kankerbestrijding","keywords":"Personalized medicine; Painting; Medical physics; Medicine; Precision medicine; Cancer; Cancer treatment; Nuclear medicine; Internal medicine; Pathology; Bioinformatics; Art history; Art; Biology","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":[0.0007856577,0.0005312501,0.0005667547,0.0005590205,0.0003415449,0.001647155,0.000494161,0.0008900597,0.005447702],"category_scores_gemma":[0.001194912,0.0004762355,0.001018985,0.000599084,0.0003887015,0.0005859865,0.0005493744,0.001072029,0.001610754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009814355,"about_ca_system_score_gemma":0.0006210518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869928,"about_ca_topic_score_gemma":0.003177457,"domain_scores_codex":[0.9996876,0.00006193411,0.00001097651,0.00009875253,0.0001104618,0.00003029299],"domain_scores_gemma":[0.9995753,0.0002424125,0.0000437757,0.00004625915,0.00007991759,0.0000122729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005927697,0.0004835232,0.009582488,0.002549352,0.0003288103,0.0002474628,0.0007112256,0.05893917,0.3182524,0.02427416,0.043839,0.5401996],"study_design_scores_gemma":[0.0001053693,0.0007553518,0.04003158,0.0007151711,0.0005964817,0.001525663,0.0006290535,0.1061495,0.5536483,0.02408188,0.2715597,0.0002018788],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1860076,0.08477217,0.6404073,0.009422056,0.001269021,0.001371948,0.003155781,0.002282917,0.07131124],"genre_scores_gemma":[0.418839,0.0869941,0.3764712,0.00242969,0.0006454229,0.000832556,0.003227407,0.001252546,0.109308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005447702,"threshold_uncertainty_score":0.01822442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544637236710023,"score_gpt":0.3465958348201542,"score_spread":0.3211494624530539,"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."}}