{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085886,0.0003842265,0.0006460703,0.0007473735,0.0002226848,0.0006004325,0.0003405298,0.0005760872,0.001252095],"category_scores_gemma":[0.0003447651,0.000141888,0.0004143228,0.0005209302,0.0003744851,0.0007150808,0.0004361889,0.0006716762,0.0005299915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188332,"about_ca_system_score_gemma":0.0004690829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597841,"about_ca_topic_score_gemma":0.0006000269,"domain_scores_codex":[0.9997831,0.00004015467,0.00001934509,0.00004864339,0.00007726114,0.00003157053],"domain_scores_gemma":[0.9998918,0.00004747634,0.00002498354,0.000005803113,0.00002331044,0.000006567459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001812423,0.0001661493,0.0007667975,0.01569552,0.0001154761,0.0008883672,0.0002589264,0.002232216,0.3514637,0.0161067,0.00685294,0.6052719],"study_design_scores_gemma":[0.00002494572,0.0009800376,0.002716984,0.001502633,0.0002566477,0.003925116,0.000213222,0.002441388,0.2719505,0.004864309,0.7110462,0.00007811921],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02880937,0.9428495,0.01391507,0.001410124,0.0004124575,0.00007624533,0.000150285,0.0001387558,0.01223823],"genre_scores_gemma":[0.1155454,0.8706269,0.007839031,0.0008533628,0.0002878755,0.00009555237,0.0001441317,0.00003211644,0.004575577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001252095,"threshold_uncertainty_score":0.004188657,"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."}}