{"id":"W2886688143","doi":"10.1126/sciadv.aat5107","title":"BioBits™ Bright: A fluorescent synthetic biology education kit","year":2018,"lang":"en","type":"article","venue":"Science Advances","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Army Research Office; Paul G. Allen Frontiers Group; Hansjörg Wyss Institute for Biologically Inspired Engineering, Harvard University; Air Force Office of Scientific Research; David and Lucile Packard Foundation; Defense Threat Reduction Agency; National Science Foundation","keywords":"Fluorescence; Computational biology; Biology; Physics; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00094995,0.001087141,0.0006730677,0.0008957701,0.0006748845,0.0007525453,0.001515493,0.0009756195,0.03715914],"category_scores_gemma":[0.001317057,0.000883662,0.0006365891,0.0002993619,0.0003960051,0.0008221447,0.001238659,0.001334384,0.02059696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003943893,"about_ca_system_score_gemma":0.001185365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004353476,"about_ca_topic_score_gemma":0.00118466,"domain_scores_codex":[0.9992425,0.00007543123,0.00004751466,0.000137606,0.0004187546,0.00007823302],"domain_scores_gemma":[0.9992906,0.0001743513,0.00006444272,0.0001031349,0.0001735441,0.000193887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004852277,0.0005385425,0.001048391,0.001105336,0.00003765892,0.0004168426,0.0003324478,0.001292361,0.7384802,0.006262572,0.06424889,0.1857515],"study_design_scores_gemma":[0.0001062885,0.0006510923,0.001282939,0.0001156752,0.00005199649,0.001316606,0.00007551316,0.003781164,0.4914628,0.001369177,0.4996507,0.000135963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07369947,0.001263049,0.8092143,0.00133159,0.0008115334,0.00321226,0.00911053,0.0531596,0.04819774],"genre_scores_gemma":[0.08023059,0.002108142,0.7228795,0.001674556,0.0001541503,0.008246174,0.01563762,0.005540875,0.1635284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03715914,"threshold_uncertainty_score":0.1243097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004790384046693508,"score_gpt":0.3309425400033644,"score_spread":0.3261521559566709,"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."}}