{"id":"W3166587061","doi":"10.1039/d1sc01059j","title":"Photocleavable proteins that undergo fast and efficient dissociation","year":2021,"lang":"en","type":"article","venue":"Chemical Science","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canadian Glycomics Network; Western Canada Research Grid; National Natural Science Foundation of China; Compute Canada; University of Alberta; University of Saskatchewan; Canadian Light Source","keywords":"Dissociation (chemistry); Chemistry; Combinatorial chemistry; Biophysics; Computer science; Computational biology; Biology; Organic chemistry","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":[0.0001582129,0.0003009263,0.0002083057,0.00008512672,0.0001294479,0.0003828678,0.000282743,0.0003989179,0.0006394141],"category_scores_gemma":[0.000266958,0.0001787378,0.0001923023,0.000142061,0.0002584377,0.000339365,0.0002696678,0.0006236733,0.0002840022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000513789,"about_ca_system_score_gemma":0.0002402172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097497,"about_ca_topic_score_gemma":0.001064191,"domain_scores_codex":[0.9999067,0.000006889491,0.00000635285,0.00002600895,0.00003553006,0.00001862115],"domain_scores_gemma":[0.9998971,0.00001961851,0.00003955999,0.00001157544,0.00001667283,0.00001536064],"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":[0.00001975304,0.000009155269,0.0002038071,0.00002742376,0.000005004942,0.00001993381,0.00001261512,0.0003341994,0.9976036,0.000239248,0.00004995308,0.001475305],"study_design_scores_gemma":[0.00000854172,0.0000291191,0.0008134702,0.000002559583,0.000003457357,0.0001334746,0.00001131684,0.002316093,0.9938065,0.00006495141,0.002804006,0.000006624859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780471,0.001147619,0.01865813,0.0001310809,0.00002010113,0.00002764565,0.0002274153,0.0001814481,0.001559524],"genre_scores_gemma":[0.9798772,0.0007294989,0.01594767,0.00007949305,0.000003972394,0.00003654395,0.0004734247,0.00008173089,0.002770507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097497,"threshold_uncertainty_score":0.003727853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338251347039941,"score_gpt":0.3082103729318668,"score_spread":0.2648278594614674,"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."}}