{"id":"W3038775292","doi":"10.20517/cdr.2020.20","title":"Exploring near-infrared absorbing nanocarriers to overcome cancer drug resistance","year":2020,"lang":"en","type":"review","venue":"Cancer Drug Resistance","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Nanocarriers; Nanomedicine; Nanotechnology; Cancer therapy; Cancer; Multiple drug resistance; Broad spectrum; Drug; Drug resistance; Drug delivery; Medicine; Materials science; Pharmacology; Nanoparticle; Chemistry; Biology; Combinatorial chemistry; Internal medicine","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":[0.0002892108,0.000572923,0.000665847,0.001463493,0.0002032021,0.0005555353,0.0004198075,0.000733719,0.002378709],"category_scores_gemma":[0.0002137067,0.000245849,0.0005055243,0.0009510639,0.0002433783,0.000707191,0.000502049,0.0009816983,0.001202386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003847894,"about_ca_system_score_gemma":0.000462293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006805721,"about_ca_topic_score_gemma":0.001191977,"domain_scores_codex":[0.9998848,0.0000175112,0.00000887299,0.00002442744,0.00004540137,0.00001901969],"domain_scores_gemma":[0.9999402,0.00002432495,0.00001209744,0.000002637877,0.00001475736,0.000006086099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008439179,0.0001983939,0.0002197178,0.02463734,0.0001118662,0.0004464436,0.0001704062,0.001662829,0.06690018,0.01204795,0.017055,0.8764654],"study_design_scores_gemma":[0.00001906224,0.0002902474,0.0005983294,0.001844353,0.0001195149,0.001287741,0.00007094331,0.0007707344,0.02055196,0.002218191,0.9721971,0.00003190574],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002095263,0.9914711,0.001728061,0.0003218247,0.0002165762,0.00002510118,0.00003883789,0.00003901965,0.004064203],"genre_scores_gemma":[0.007583854,0.9880347,0.001386889,0.0002992285,0.00008350482,0.00003247495,0.00006448261,0.000006781164,0.002508149],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002378709,"threshold_uncertainty_score":0.007957578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664426291510613,"score_gpt":0.2876834602369446,"score_spread":0.2210391973218385,"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."}}