{"id":"W4409220924","doi":"10.1038/s41467-025-58485-z","title":"Far-red fluorescent genetically encoded calcium ion indicators","year":2025,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cermaq (Canada); National Research Council Canada; University of Alberta; Université Laval; Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Japan Society for the Promotion of Science; Howard Hughes Medical Institute; Ministry of Education, Culture, Sports, Science and Technology; University of Alberta; National Institutes of Health; Government of Canada; U.S. Department of Health and Human Services","keywords":"Fluorescence; Calcium; Biology; Computational biology; 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":[0.0002829147,0.0005020662,0.0003089472,0.00030023,0.0001822828,0.0005166046,0.0005890555,0.000881169,0.001066047],"category_scores_gemma":[0.0003910066,0.0002411521,0.0002454736,0.000219766,0.000358627,0.0004145227,0.0004515129,0.0008438033,0.0007689617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000649757,"about_ca_system_score_gemma":0.000311641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00071506,"about_ca_topic_score_gemma":0.001125569,"domain_scores_codex":[0.9997681,0.00002624881,0.000009172447,0.0000588907,0.00009798716,0.00003968134],"domain_scores_gemma":[0.9997942,0.00003847754,0.00005490831,0.00002137484,0.00005382205,0.00003717767],"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":[0.00002550583,0.000005825419,0.00006596329,0.00003765733,0.000003020945,0.00003173594,0.00001184095,0.0002385054,0.9954587,0.000702417,0.0001711512,0.003247694],"study_design_scores_gemma":[0.000006412108,0.00003499886,0.0003429246,0.000006103696,0.000004850644,0.0001379741,0.000005635658,0.0008440205,0.9898369,0.00007636532,0.008691242,0.00001263658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8043166,0.009800388,0.1597553,0.001700125,0.0002838058,0.0002489377,0.001632638,0.001673475,0.02058877],"genre_scores_gemma":[0.8559251,0.005339616,0.1148524,0.0005113309,0.00003437347,0.0002365571,0.001660896,0.0002435835,0.02119598],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001066047,"threshold_uncertainty_score":0.00471431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033964332294504,"score_gpt":0.3213901630056928,"score_spread":0.3110505196827478,"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."}}