{"id":"W2914267449","doi":"10.1101/537100","title":"A human photoacoustic imaging reporter gene using the clinical dye indocyanine green","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Lawson Health Research Institute; Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Breast Cancer Society of Canada; California HIV/AIDS Research Program","keywords":"Indocyanine green; Reporter gene; Photoacoustic imaging in biomedicine; In vivo; Translation (biology); Stokes shift; Gene; Chemistry; Cancer research; Cell biology; Biomedical engineering; Medicine; Gene expression; Biology; Pathology; Materials science; Messenger RNA; Biochemistry; Optics; Optoelectronics; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005202355,0.0003328311,0.0002599216,0.0002045916,0.0001539944,0.0004826553,0.0002547068,0.0006742586,0.00185936],"category_scores_gemma":[0.0002752371,0.0001443958,0.0003264342,0.0002701506,0.0005484089,0.0002877067,0.0002339486,0.0007674471,0.0007179644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004819434,"about_ca_system_score_gemma":0.0005331894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175068,"about_ca_topic_score_gemma":0.0006166048,"domain_scores_codex":[0.9996946,0.00005652299,0.00001793536,0.0001033231,0.00008231052,0.00004532559],"domain_scores_gemma":[0.9998829,0.00003120596,0.00003288373,0.0000171763,0.00001806313,0.000017609],"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":[0.00007701622,0.00002324787,0.0001124493,0.00002481096,0.000004141183,0.00003093183,0.00002102458,0.00007688332,0.9976513,0.0004204604,0.0002146032,0.001343026],"study_design_scores_gemma":[0.00002261192,0.0001912131,0.0005193081,0.000003869052,0.000008362469,0.0002378384,0.00001382019,0.001012256,0.9915828,0.00007884917,0.006322159,0.000006961232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423305,0.002258218,0.1413719,0.001573779,0.000362,0.0004715144,0.00210836,0.001278109,0.008245628],"genre_scores_gemma":[0.9440637,0.0008394324,0.04368781,0.0002749265,0.00003659654,0.0001857283,0.001987291,0.00009362728,0.008830938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00185936,"threshold_uncertainty_score":0.006220222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299178695257114,"score_gpt":0.2593573458847382,"score_spread":0.2363655589321671,"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."}}