{"id":"W3170467102","doi":"10.3934/biophy.2021017","title":"Computer method and modeling: Medical biophysics applications in cancer therapy, medical imaging and drug delivery","year":2021,"lang":"en","type":"article","venue":"AIMS Biophysics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Cancer therapy; Medical imaging; Drug delivery; Medicine; Medical physics; Cancer; Nanotechnology; Internal medicine; Radiology; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002443223,0.0001593945,0.0001911554,0.00002881657,0.00006521043,0.00002963048,0.0002196231,0.000183592,0.00003730619],"category_scores_gemma":[0.00003827802,0.0001361491,0.0000514214,0.0002144887,0.0002813376,0.000006446543,0.0004578026,0.0003067798,9.84297e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001899733,"about_ca_system_score_gemma":0.000252955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001698167,"about_ca_topic_score_gemma":0.00002610685,"domain_scores_codex":[0.998484,0.00006598348,0.0002030443,0.0004942193,0.0004488616,0.0003038657],"domain_scores_gemma":[0.9992844,0.00006220351,0.00002787427,0.0002403748,0.00009631432,0.0002887625],"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":[0.00004537085,0.0004204993,0.003287097,0.00007008515,0.00006872914,0.00004120822,0.00008188982,0.000006361334,0.633697,0.00137135,0.001598584,0.3593119],"study_design_scores_gemma":[0.001315352,0.00008481277,0.0003229576,0.0001429156,0.00001961561,0.00004428519,0.00009922215,0.1191645,0.8420697,0.01362272,0.02254402,0.0005698613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7964082,0.006526753,0.1928874,0.003643887,0.00006436551,0.0001811393,0.00002065561,0.00003312414,0.0002344419],"genre_scores_gemma":[0.9594094,0.02722581,0.009560992,0.002622456,0.000775644,0.0001330141,0.0001581212,0.00003518413,0.00007939889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.358742,"threshold_uncertainty_score":0.5551999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375866487836809,"score_gpt":0.3538874160711832,"score_spread":0.3401287511928152,"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."}}