{"id":"W4389616999","doi":"10.1016/j.jpha.2023.12.008","title":"Perspective on in vivo SPME for human applications: Starting from monitoring doxorubicin during lung chemo-perfusion","year":2023,"lang":"en","type":"editorial","venue":"Journal of Pharmaceutical Analysis","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute of Mental Health; Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; In vivo; Perfusion; Doxorubicin; Perspective (graphical); Lung; Biochemical engineering; Computational biology; Internal medicine; Biotechnology; Chemotherapy; Computer science; Artificial intelligence","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":[0.001939793,0.000380862,0.001117167,0.001127161,0.0002783047,0.0001936303,0.0006491429,0.0003382296,0.0003311156],"category_scores_gemma":[0.001238997,0.0003471968,0.0006810343,0.001387014,0.00008040172,0.0002675463,0.0001591085,0.001090944,0.00004128256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053034,"about_ca_system_score_gemma":0.0001865282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000387075,"about_ca_topic_score_gemma":0.0000597501,"domain_scores_codex":[0.9955759,0.0002306974,0.001454765,0.0006612606,0.001475714,0.0006016298],"domain_scores_gemma":[0.9946992,0.00274155,0.001054979,0.0003500895,0.0008595569,0.0002945759],"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":[0.0006517726,0.0003025379,0.0004177869,0.0001067683,0.0005286104,0.00007944678,0.0003556476,0.005579809,0.9687977,0.00001567919,0.02305827,0.0001059185],"study_design_scores_gemma":[0.002345689,0.0001076312,0.0001075198,0.0004535744,0.003839305,3.591644e-7,0.000765313,0.00403821,0.9830608,0.0006148135,0.004217038,0.0004497788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607213,0.0006185907,0.000631233,0.0003937881,0.1367328,0.0004636129,0.0003430399,0.00006715962,0.00002849096],"genre_scores_gemma":[0.5576181,0.000247961,0.0009100433,0.0000274276,0.4407688,0.0001100663,0.00002715789,0.00009578088,0.0001947175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.304036,"threshold_uncertainty_score":0.999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025309606777043,"score_gpt":0.3765311023143641,"score_spread":0.3512214955373211,"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."}}