{"id":"W3036865653","doi":"10.1021/acssensors.0c00279","title":"Bright and High-Performance Genetically Encoded Ca <sup>2+</sup> Indicator Based on mNeonGreen Fluorescent Protein","year":2020,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Green fluorescent protein; Zebrafish; Aequorea victoria; Biophysics; Fluorescence; Chemistry; In vivo; Fluorescent protein; Cell biology; Biology; Biochemistry; Physics; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008544084,0.0002924343,0.0002220703,0.0000505439,0.0001089888,0.00003005453,0.0002829833,0.0002359174,0.00003184523],"category_scores_gemma":[0.0001063351,0.0002697336,0.00004501878,0.0001162208,0.0002238063,0.000007345714,0.0001353026,0.0002243617,0.00004385278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002470747,"about_ca_system_score_gemma":0.00007538287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001214247,"about_ca_topic_score_gemma":8.330636e-7,"domain_scores_codex":[0.9983951,0.00007095489,0.0002610325,0.0006542617,0.0002267076,0.0003919658],"domain_scores_gemma":[0.9991696,0.00001244876,0.00008583752,0.0004324649,0.0000605576,0.0002390238],"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":[0.0003382839,0.00006177403,0.002035835,0.00006078772,0.00002138562,0.00001867702,0.00009543654,0.002241113,0.9895308,0.00002676695,0.001129064,0.004440098],"study_design_scores_gemma":[0.0005335482,0.0007555485,0.00159622,0.00004434683,0.00001325548,0.000004473151,0.00001742173,0.01244961,0.9794252,0.00001340594,0.004816424,0.0003305492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941474,0.00009379899,0.003823899,0.001061088,0.00001604915,0.0006205221,0.00004700518,0.00008134085,0.0001089021],"genre_scores_gemma":[0.9659142,0.00009994992,0.03173622,0.001823858,0.0001536605,0.00005053524,0.00008921077,0.00005329381,0.00007904719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02823317,"threshold_uncertainty_score":0.9999755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006382321903291454,"score_gpt":0.2237799277644592,"score_spread":0.2173976058611677,"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."}}