{"id":"W2910573932","doi":"10.1038/s41592-018-0294-6","title":"A genetically encoded near-infrared fluorescent calcium ion indicator","year":2019,"lang":"en","type":"article","venue":"Nature Methods","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":218,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Cancer Institute; National Institute of Neurological Disorders and Stroke; National Eye Institute; National Institute of General Medical Sciences; National Institute on Drug Abuse","keywords":"Optogenetics; Fluorescence; Calcium; Biophysics; Fluorescent protein; Fluorescence-lifetime imaging microscopy; Near-infrared spectroscopy; Infrared; Chemistry; Ion; Green fluorescent protein; Biology; Optics; Biochemistry; Physics; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00104932,0.0002348283,0.0002958704,0.0001665417,0.0001508315,0.000151053,0.000827837,0.0005810178,0.0013802],"category_scores_gemma":[0.00171818,0.0001961607,0.0001495714,0.0006138619,0.0001870018,0.00007299772,0.0003041055,0.00141488,0.0005856368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000012,"about_ca_system_score_gemma":0.0002359449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005131661,"about_ca_topic_score_gemma":6.168112e-7,"domain_scores_codex":[0.9963168,0.001112892,0.000281398,0.0007667846,0.000872876,0.0006492767],"domain_scores_gemma":[0.9980462,0.0007138654,0.00007840811,0.0007392087,0.00008047781,0.0003418464],"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":[0.00009696133,0.00007427234,0.000970515,0.00002445388,0.000006007961,0.000008864083,0.0001524699,0.000009163216,0.9807007,0.0007006151,0.001019995,0.01623595],"study_design_scores_gemma":[0.0004741335,0.0001390264,0.003353567,0.00001127981,0.000007313851,0.00001001899,0.000008677855,0.003540246,0.916419,0.0007686651,0.07504679,0.00022134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9570371,0.0009867752,0.01087187,0.0004242298,0.003129879,0.001319158,0.00005169874,0.0001993633,0.02597996],"genre_scores_gemma":[0.7697321,0.000110434,0.2255773,0.001925907,0.0002668218,0.00005108779,0.000008550554,0.0000676161,0.002260217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2147054,"threshold_uncertainty_score":0.9995327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112734244132318,"score_gpt":0.4154514066732954,"score_spread":0.3743240642319723,"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."}}