{"id":"W2559814535","doi":"10.1038/srep38276","title":"Design and mechanistic insight into ultrafast calcium indicators for monitoring intracellular calcium dynamics","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Wellcome Trust","keywords":"Calcium; Calmodulin; Biophysics; Calcium in biology; Chemistry; Calcium imaging; Fluorescence; Calcium signaling; Biochemistry; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007192922,0.0001972521,0.0001628489,0.0001386619,0.0002893589,0.00009482308,0.0001624588,0.0001801587,0.000003961482],"category_scores_gemma":[0.0002755473,0.0001527956,0.0000544514,0.0001687626,0.0003803397,0.00001643493,0.0001222824,0.00006259965,0.000001526023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008328595,"about_ca_system_score_gemma":0.0001500412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004720477,"about_ca_topic_score_gemma":0.00000335614,"domain_scores_codex":[0.9981949,0.00003769824,0.0003519706,0.0008738911,0.0001845361,0.0003570452],"domain_scores_gemma":[0.9988438,0.00002833937,0.0002137305,0.0006320442,0.0001352508,0.0001468398],"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":[0.00002298178,0.00002328245,0.001236893,0.00002132901,0.00001216436,0.00002535382,0.00006646538,0.000005846983,0.9915525,0.0001045565,0.0002349492,0.006693672],"study_design_scores_gemma":[0.0001157185,0.0001138197,0.00003734798,0.00005046036,0.00001544816,0.00006329941,0.00002579912,0.00009522646,0.9873304,0.004345611,0.007584332,0.0002225314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1762671,0.000248875,0.8213515,0.00005779087,0.001490571,0.0005104844,0.000005202451,0.00004867965,0.00001985636],"genre_scores_gemma":[0.8831544,0.00002930748,0.1156832,0.000009237419,0.0001121274,0.0001112703,0.00004852711,0.00003765342,0.0008143157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7068873,"threshold_uncertainty_score":0.6230825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332850024282245,"score_gpt":0.2812592178429313,"score_spread":0.2679307176001089,"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."}}