{"id":"W2171629122","doi":"10.1117/1.3614473","title":"Multiphoton microscopy and fluorescence lifetime imaging provide a novel method in studying drug distribution and metabolism in the rat liver in vivo","year":2011,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Health and Medical Research Council; Medical Research Council; University of California, San Francisco","keywords":"Fluorescence; Fluorescein; In vivo; Metabolite; Fluorescence microscope; Fluorescence-lifetime imaging microscopy; Preclinical imaging; Microscopy; Chemistry; Biophysics; Two-photon excitation microscopy; Optics; Biochemistry; Pathology; Biology; 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":[0.001269774,0.0001409645,0.0002360497,0.0001272615,0.0000300712,0.00002569649,0.0002194838,0.00009987618,0.000001634601],"category_scores_gemma":[0.0003925537,0.0001020047,0.00003427086,0.0001966452,0.0002658983,0.00002635171,0.000132937,0.0003539353,9.851251e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003278619,"about_ca_system_score_gemma":0.00006693604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007979205,"about_ca_topic_score_gemma":0.00003205753,"domain_scores_codex":[0.9987882,0.0001278409,0.0004710723,0.0002065253,0.0001745269,0.0002318051],"domain_scores_gemma":[0.9994789,0.00006774005,0.0001895683,0.0001251363,0.00005981548,0.00007884968],"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":[0.0001304874,0.0002267372,0.01145887,0.00002374398,0.000006018729,0.00006580019,0.001180213,7.460332e-7,0.9835654,0.00001613528,0.00007931542,0.003246534],"study_design_scores_gemma":[0.002144397,0.0001894277,0.02294733,0.0003421895,0.00002713343,0.0003659965,0.001302321,0.001929755,0.9684258,0.0001388382,0.001943367,0.0002434569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914161,0.002197332,0.08301165,0.000229848,0.00007837787,0.00029629,0.00001590107,0.000003415611,0.000006216962],"genre_scores_gemma":[0.6367704,0.001597325,0.3613783,0.0001671107,0.00005743259,0.000008318726,0.000004875285,0.0000119926,0.000004308897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2783666,"threshold_uncertainty_score":0.4159633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156146436879658,"score_gpt":0.2892160910732436,"score_spread":0.2776546267044471,"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."}}