{"id":"W4317830464","doi":"10.1002/cac2.12401","title":"A nanotherapeutic strategy to target drug‐tolerant cells and overcome EGFR tyrosine kinase inhibitor resistance in lung cancer","year":2023,"lang":"en","type":"letter","venue":"Cancer Communications","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; FujiFilm VisualSonics (Canada)","funders":"National Cancer Institute; National Institutes of Health","keywords":"Cancer research; Epidermal growth factor receptor; Lung cancer; Population; Receptor tyrosine kinase; Drug resistance; AXL receptor tyrosine kinase; Medicine; Cancer; Chemistry; Pharmacology; Biology; Internal medicine; Receptor","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":[0.00007487792,0.0004317385,0.0002275935,0.0002572722,0.000131784,0.0002436202,0.0002760597,0.0004684805,0.0008111336],"category_scores_gemma":[0.00005114242,0.0001339489,0.0002159616,0.0001301004,0.0001516018,0.0003128889,0.0002138718,0.0005436541,0.0004123158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003512551,"about_ca_system_score_gemma":0.0001470548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003012102,"about_ca_topic_score_gemma":0.0006452589,"domain_scores_codex":[0.9999473,0.000005400258,0.000002529694,0.00001561469,0.00001719563,0.00001199428],"domain_scores_gemma":[0.9999802,0.000003024381,0.000006931208,0.000001715648,0.000003182212,0.00000488256],"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":[0.00003412621,0.0000629632,0.00005046981,0.0001150366,0.000007185753,0.00006185465,0.0000162122,0.0003812949,0.9854079,0.0006163425,0.0003072888,0.01293919],"study_design_scores_gemma":[0.00008270983,0.00129111,0.0009528121,0.00003010536,0.00004948202,0.0007689017,0.00002305996,0.006725538,0.9572703,0.0003445963,0.03243838,0.00002300673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7840976,0.05928829,0.1349801,0.00246619,0.0007187858,0.0007168998,0.0009452389,0.00106414,0.01572282],"genre_scores_gemma":[0.9493905,0.01122859,0.03011737,0.0008931724,0.00008960198,0.0003770217,0.000318219,0.00004808767,0.007537451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008111336,"threshold_uncertainty_score":0.002713501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06163173093804817,"score_gpt":0.387045254619975,"score_spread":0.3254135236819268,"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."}}