{"id":"W4391262435","doi":"10.3390/pharmaceutics16020175","title":"Improving the Efficacy of Common Cancer Treatments via Targeted Therapeutics towards the Tumour and Its Microenvironment","year":2024,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tumor microenvironment; Radiation therapy; Cancer research; Medicine; Toxicity; Cancer; Cancer cell; Chemotherapy; Malignancy; Pathology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001371609,0.0002229103,0.0001677128,0.00003672096,0.00009901385,0.00004972555,0.0002318643,0.00005150472,0.00003798403],"category_scores_gemma":[0.000003039337,0.0001302183,0.00007135391,0.0001613536,0.00009649742,0.00008012742,0.00006841729,0.0002903053,0.000009434436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001754876,"about_ca_system_score_gemma":0.00002925733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003223386,"about_ca_topic_score_gemma":0.000007320937,"domain_scores_codex":[0.9991025,0.0000228192,0.000246189,0.0001483654,0.0002020322,0.0002780777],"domain_scores_gemma":[0.9995447,0.0001506383,0.00004062237,0.0001987776,0.00001286407,0.00005236017],"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":[0.00002452404,0.00003818598,0.0001483345,0.0002211962,0.0006162602,0.000006280442,0.001474149,0.005316795,0.8170491,0.00003523812,0.00005846014,0.1750114],"study_design_scores_gemma":[0.0005710185,0.00003166925,0.0007525724,0.00005099048,0.0005771804,0.00001046573,0.00004659994,0.2668237,0.7143191,0.00007060404,0.01657979,0.0001663784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8774614,0.1186927,0.001205814,0.0004272675,0.001165639,0.0006670427,0.0001336826,0.0001730678,0.00007337685],"genre_scores_gemma":[0.987248,0.012175,0.00006501406,0.0002035143,0.0001241356,0.0000405273,0.000006080083,0.00006743529,0.00007030828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2615069,"threshold_uncertainty_score":0.5310147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03525312083699485,"score_gpt":0.2957824549855017,"score_spread":0.2605293341485068,"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."}}