{"id":"W2766183304","doi":"10.1101/213082","title":"A genetically encoded Ca <sup>2+</sup> indicator based on circularly permutated sea anemone red fluorescent protein","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; National Institutes of Health; University of Alberta; Alberta Innovates; Alberta Innovates - Health Solutions; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Green fluorescent protein; Fluorescence; In vivo; Zebrafish; Optogenetics; HeLa; Biophysics; Sea anemone; Yellow fluorescent protein; Cell biology; Fluorescent protein; Chemistry; Biology; In vitro; Biochemistry; Neuroscience; Gene; Genetics; Botany","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":[0.0001921819,0.000329924,0.0001771876,0.0001405779,0.0001752578,0.0003183991,0.0002850621,0.0003580552,0.0004656785],"category_scores_gemma":[0.0001960101,0.0001623779,0.0001727433,0.000124689,0.0004897495,0.0002254746,0.0002894933,0.0004418336,0.0003115355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004580283,"about_ca_system_score_gemma":0.0003822669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969169,"about_ca_topic_score_gemma":0.001757855,"domain_scores_codex":[0.9999014,0.00001093092,0.000007709572,0.00003497427,0.0000282615,0.00001669542],"domain_scores_gemma":[0.9998111,0.00002837258,0.00005979209,0.00002552292,0.00003488656,0.00004023737],"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":[0.0000124715,0.000002461371,0.000103085,0.000009212538,0.000001358541,0.00001793847,0.000005245553,0.00005462042,0.9993622,0.00005154464,0.00001369335,0.0003662804],"study_design_scores_gemma":[0.000003542286,0.00003431172,0.001046642,0.000001869155,0.000004123563,0.00008423495,0.000007238789,0.0006850794,0.9970758,0.0000126175,0.001040626,0.000003865149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853778,0.0003500367,0.01225205,0.0001770736,0.00003203238,0.0000652519,0.0003349682,0.0001956783,0.001215048],"genre_scores_gemma":[0.9688113,0.0003775765,0.02733667,0.00008371043,0.000005611394,0.00005251976,0.0004548088,0.00007235578,0.002805402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001969169,"threshold_uncertainty_score":0.00391537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855314860235746,"score_gpt":0.2614270463408768,"score_spread":0.2328738977385193,"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."}}