{"id":"W4234698319","doi":"10.1016/j.ijrobp.2004.06.182","title":"Chemodosimetry of in-vivo tumor liposome/drug concentration using MRI","year":2004,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Liposome; In vivo; Drug; Medical physics; Pharmacology; Biomedical engineering; Nuclear medicine; Nanotechnology; Biotechnology","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":[0.0005724437,0.0004408136,0.0003832216,0.0003830268,0.0003161354,0.0005391445,0.0003810597,0.0004811762,0.0009870647],"category_scores_gemma":[0.0006081736,0.0003020324,0.0002635186,0.0003740033,0.000466171,0.0004673233,0.0003827591,0.0007078572,0.0003028134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008279852,"about_ca_system_score_gemma":0.0004669791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00271397,"about_ca_topic_score_gemma":0.001817844,"domain_scores_codex":[0.9997323,0.00007762566,0.00001587361,0.0000699244,0.00006586717,0.00003836451],"domain_scores_gemma":[0.9997725,0.00008687663,0.00005717441,0.00002297799,0.00004129027,0.00001920281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003213545,0.00003505764,0.0004796093,0.00006797106,0.00001209357,0.0000268966,0.0001071763,0.001036274,0.9946598,0.000267593,0.00008064599,0.00290547],"study_design_scores_gemma":[0.000009666724,0.0001079458,0.0007382412,0.00000463071,0.00001777889,0.00004858085,0.00001478666,0.004541855,0.9939117,0.0000310752,0.0005679071,0.000005755399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223066,0.003535702,0.06618468,0.0004264868,0.00008130636,0.0002842202,0.0004275685,0.0004805939,0.006272799],"genre_scores_gemma":[0.9820571,0.001063283,0.01432497,0.00008761893,0.0000160642,0.0001107178,0.000121987,0.00009322709,0.002125062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00271397,"threshold_uncertainty_score":0.006007493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582161769050901,"score_gpt":0.2986290391874032,"score_spread":0.2828074214968943,"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."}}