{"id":"W4404813444","doi":"10.1016/j.pacs.2024.100671","title":"Multimodal fluorescence-optoacoustic in vivo imaging of the near-infrared calcium ion indicator NIR-GECO2G","year":2024,"lang":"en","type":"article","venue":"Photoacoustics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; Horowitz Foundation for Social Policy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; California Department of Fish and Game; Engineering Research Centers; Research to Prevent Blindness","keywords":"Fluorescence; In vivo; Infrared; Fluorescence-lifetime imaging microscopy; Calcium; Ion; Materials science; Near-infrared spectroscopy; Optics; Optoelectronics; Chemistry; Physics","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":[0.0003386308,0.0004921828,0.0003091676,0.0006675899,0.0001608521,0.0003183657,0.0004043203,0.0006134468,0.00339027],"category_scores_gemma":[0.000199333,0.0002199515,0.0002442785,0.0002414178,0.0005713723,0.0005711188,0.0002322659,0.0007948478,0.0004734297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128567,"about_ca_system_score_gemma":0.0002695897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001470098,"about_ca_topic_score_gemma":0.001779176,"domain_scores_codex":[0.9998212,0.0000218374,0.00001062778,0.00006808356,0.00003258207,0.00004573203],"domain_scores_gemma":[0.9998123,0.00002712935,0.00005459914,0.00002020692,0.00002806013,0.00005780413],"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":[0.0001135963,0.00001121584,0.00003505819,0.000008583018,0.000001876992,0.00001827743,0.000004850931,0.000011312,0.9994697,0.00005999091,0.00002361858,0.0002419476],"study_design_scores_gemma":[0.00002623821,0.0002009099,0.00191996,0.000005191236,0.00002028301,0.0003672085,0.00002146242,0.0006520121,0.9956877,0.00008456514,0.001009198,0.000005252468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790461,0.001067358,0.01448917,0.0004365868,0.0001105346,0.00004150803,0.001094023,0.0004365297,0.003278213],"genre_scores_gemma":[0.9687317,0.00101319,0.01780061,0.0001562684,0.00001638068,0.0001533726,0.001203785,0.0002385723,0.01068608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00339027,"threshold_uncertainty_score":0.01134163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007257173567694163,"score_gpt":0.2231672948340518,"score_spread":0.2159101212663576,"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."}}