{"id":"W3016872879","doi":"10.1101/2020.04.15.043158","title":"RubyACRs, non-algal anion channelrhodopsins with highly red-shifted absorption","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Hermann Eye Fund; Oogfonds; Welch Foundation","keywords":"Channelrhodopsin; Optogenetics; Rhodopsin; Biophysics; Absorption (acoustics); Biology; Gating; Retinal; Chloroplast; Chemistry; Biochemistry; Physics; Gene; Optics; Neuroscience","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":[0.0005197432,0.0008724006,0.0007632368,0.0004548023,0.0003755646,0.0005579034,0.001413981,0.0006955613,0.0001317717],"category_scores_gemma":[0.0005338215,0.0008497968,0.0001999283,0.001386473,0.0003300829,0.0002536351,0.001014311,0.001727285,0.0003390144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004210691,"about_ca_system_score_gemma":0.0009024042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007686084,"about_ca_topic_score_gemma":0.000004808076,"domain_scores_codex":[0.9942836,0.0003710228,0.0006175876,0.002235428,0.001376742,0.001115651],"domain_scores_gemma":[0.9966008,0.000129638,0.0004516972,0.00158323,0.0004504214,0.0007841873],"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":[0.0002491435,0.0001727177,0.001204228,0.0002798926,0.00004172375,0.000162456,0.00002518087,0.00007039795,0.996914,0.0002775234,0.0006006756,0.000002070128],"study_design_scores_gemma":[0.0008068691,0.0003062192,0.03505244,0.0003100228,0.00005571853,6.66742e-8,0.000002039944,0.002806773,0.9558461,0.000006990431,0.003805997,0.001000739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921692,0.0001363499,0.002343731,0.0007621267,0.001468844,0.001656813,0.0006085337,0.0007424213,0.0001119957],"genre_scores_gemma":[0.9952357,0.0005160918,0.002297916,0.0004280592,0.0009110104,0.0003206015,0.000001601724,0.0002760899,0.00001287324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04106787,"threshold_uncertainty_score":0.9993953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03429460622373565,"score_gpt":0.2547735588826257,"score_spread":0.2204789526588901,"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."}}