{"id":"W4386726830","doi":"10.1002/adhm.202301815","title":"Multimodal Imaging of Pancreatic Cancer Microenvironment in Response to an Antiglycolytic Drug","year":2023,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of General Medical Sciences; Nutrition Obesity Research Center, University of North Carolina; National Institutes of Health; National Science Foundation","keywords":"Pancreatic cancer; Tumor microenvironment; Cancer research; Cancer; Molecular imaging; Cancer cell; Fluorescence-lifetime imaging microscopy; Metastasis; Microscopy; Biomarker discovery; Chemistry; Medicine; Materials science; Pathology; Biology; Biochemistry; Fluorescence; Proteomics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005342928,0.0001235999,0.0002296467,0.0001042595,0.00003246788,0.000008119348,0.0002160514,0.00006780892,0.00006895044],"category_scores_gemma":[0.0001699422,0.0001161165,0.00002601497,0.0002113617,0.00008599853,0.000004899365,0.000177023,0.00006478345,0.00000998601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008411807,"about_ca_system_score_gemma":0.00007926824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003994956,"about_ca_topic_score_gemma":0.00005517607,"domain_scores_codex":[0.9985251,0.000167444,0.0003284386,0.0003692304,0.0001892929,0.0004204689],"domain_scores_gemma":[0.9993771,0.00003434475,0.00005670772,0.0003286654,0.00003384324,0.0001693813],"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":[0.001337022,0.00003925785,0.002597081,0.0001111096,0.000004029675,0.000009574228,0.00007526432,0.00001118487,0.9930429,0.000006519049,0.0002382205,0.002527856],"study_design_scores_gemma":[0.0003392606,0.0001986686,0.01753791,0.0001294376,0.000001919312,0.000001508945,0.00008669279,0.00001123164,0.9791262,0.0001385527,0.002312015,0.0001166258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966546,0.0002756752,0.00005069085,0.002331063,0.0001001418,0.0004207356,0.0001255989,0.00003032905,0.00001117307],"genre_scores_gemma":[0.9959142,0.0009683915,0.002061521,0.0004440233,0.00006275825,0.0002446242,0.00009539053,0.00002537174,0.0001836946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01494083,"threshold_uncertainty_score":0.4735095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160984080999418,"score_gpt":0.3720164299755486,"score_spread":0.3604065891655545,"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."}}