{"id":"W2982594171","doi":"10.7150/thno.37204","title":"Improving accessibility of EPR-insensitive tumor phenotypes using EPR-adaptive strategies: Designing a new perspective in nanomedicine delivery","year":2019,"lang":"en","type":"review","venue":"Theranostics","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Nanomedicine; Drug delivery; Electron paramagnetic resonance; Translation (biology); Nanotechnology; Medicine; Computer science; Cancer research; Medical physics; Materials science; Nanoparticle; Chemistry; Physics; Nuclear magnetic resonance","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002252419,0.0005135117,0.001596515,0.0002573516,0.00003824832,0.00004372778,0.0003120843,0.0002385228,0.00001547418],"category_scores_gemma":[0.0001093147,0.0004535209,0.0002205981,0.0005332903,0.0001185868,0.0001802459,0.00004837204,0.0005642754,0.00001023339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006121566,"about_ca_system_score_gemma":0.001009321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008565332,"about_ca_topic_score_gemma":0.00007307815,"domain_scores_codex":[0.998152,0.0001173133,0.0007082004,0.0004574265,0.000200193,0.0003648227],"domain_scores_gemma":[0.9980442,0.0009292284,0.0003039901,0.0004608151,0.0001742005,0.00008756482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001681227,0.0003936284,0.00005951307,0.03043762,0.002145302,0.00008953621,0.02155049,0.01870094,0.02456693,0.00608294,0.00003997029,0.895765],"study_design_scores_gemma":[0.0190529,0.003479015,0.001181055,0.3053465,0.04041303,0.000948628,0.1630313,0.2735475,0.006190483,0.03592267,0.1260112,0.02487576],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002634266,0.9561999,0.03883284,0.000002411504,0.0001874554,0.001234576,0.00007784576,0.0002513655,0.0005793156],"genre_scores_gemma":[0.07438798,0.9156735,0.009070781,0.00002026316,0.0003932598,0.00003527556,0.00002867909,0.0003666422,0.00002360373],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8708892,"threshold_uncertainty_score":0.9997917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06281356407470017,"score_gpt":0.309857396807595,"score_spread":0.2470438327328948,"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."}}