{"id":"W2895714848","doi":"10.1101/435891","title":"Understanding the Ca <sup>2+</sup> -dependent Fluorescence Change in Red Genetically Encoded Ca <sup>2+</sup> Indicators","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Fluorescence; Chemistry; Calmodulin; Conformational change; Chromophore; Green fluorescent protein; Excitation; Biophysics; Photochemistry; Stereochemistry; Calcium; Biochemistry; Physics; Optics; Biology","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001266981,0.00120367,0.0008638037,0.0005588895,0.0004050997,0.0002809251,0.002262002,0.001679569,0.00009009278],"category_scores_gemma":[0.0005109872,0.001142683,0.0002875038,0.0008258726,0.0009397396,0.00004047741,0.002157056,0.001542744,0.00005526438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009005541,"about_ca_system_score_gemma":0.0008792125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001719526,"about_ca_topic_score_gemma":0.00002176233,"domain_scores_codex":[0.9937832,0.0004706124,0.001089936,0.002379028,0.0007801679,0.001497011],"domain_scores_gemma":[0.9955439,0.00006254002,0.0005930401,0.002975132,0.0003764322,0.0004489822],"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":[0.0002543701,0.0002943855,0.01037254,0.0003298249,0.0002443424,0.0001302118,0.0003505745,0.001716976,0.9839975,0.0001950232,0.002100766,0.00001350439],"study_design_scores_gemma":[0.001088426,0.0004191895,0.003987484,0.0009712594,0.0001604334,4.851929e-7,0.0001205751,0.01083336,0.975823,0.00004512485,0.004342589,0.002208053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445245,0.002233887,0.04696953,0.000772266,0.0005489744,0.003750617,0.0007225568,0.0004298612,0.00004778796],"genre_scores_gemma":[0.9728081,0.001729814,0.0224613,0.0007321397,0.001079924,0.0008753224,0.00001041021,0.0002926352,0.00001040961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02828352,"threshold_uncertainty_score":0.9996164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594196114994984,"score_gpt":0.2601467744881607,"score_spread":0.2342048133382109,"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."}}