{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001416684,0.000957673,0.001032149,0.001906601,0.0006525444,0.00222087,0.001050321,0.002199952,0.006942141],"category_scores_gemma":[0.003683138,0.0006159214,0.0008793373,0.002734198,0.001567703,0.001690061,0.001528897,0.002739327,0.003355763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000873542,"about_ca_system_score_gemma":0.001917672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003990341,"about_ca_topic_score_gemma":0.002312788,"domain_scores_codex":[0.9991174,0.0002409408,0.00003819392,0.00009866384,0.0004750059,0.00002979383],"domain_scores_gemma":[0.9987514,0.0006933177,0.00006966956,0.0001194861,0.000298366,0.00006774931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001004798,0.0001327699,0.001521706,0.001591296,0.0001779961,0.0002797686,0.0003189284,0.1885192,0.01111567,0.3298321,0.1418643,0.3245458],"study_design_scores_gemma":[0.00003584193,0.00006810133,0.0009418534,0.0003577546,0.00005832876,0.0004840812,0.00006655334,0.6425914,0.004252905,0.1286567,0.2224024,0.00008412712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003959407,0.03940078,0.9093767,0.01117214,0.0020793,0.0001563258,0.0005492868,0.002900835,0.03040526],"genre_scores_gemma":[0.185154,0.08895204,0.6505663,0.003429682,0.003190243,0.001064483,0.001448926,0.002194413,0.06399988],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006942141,"threshold_uncertainty_score":0.02322382,"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."}}