{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001465288,0.00008274578,0.00005850633,0.00006505554,0.0001463301,0.00002179987,0.0002713857,0.00003482871,0.00002445364],"category_scores_gemma":[0.00008834909,0.00006971529,0.00002408273,0.0002279399,0.0006651066,0.000008768972,0.00007155725,0.00002816932,0.00003866318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001163018,"about_ca_system_score_gemma":0.0001738277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007146369,"about_ca_topic_score_gemma":0.00001644711,"domain_scores_codex":[0.9992257,0.000008674921,0.00009425013,0.000342009,0.0000851618,0.0002441771],"domain_scores_gemma":[0.9995289,0.000003383323,0.00002885154,0.0002579989,0.0001072114,0.00007367528],"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":[0.000004058834,0.00001966617,0.000875105,0.000004209601,0.000001495328,7.330041e-8,0.00002933131,0.00001464177,0.9162855,0.0002623427,0.0001031703,0.0824004],"study_design_scores_gemma":[0.00005099395,0.0001399397,0.001661543,0.00001058506,0.000002635791,0.000008372293,0.00005794392,0.00002992602,0.8737924,0.000335578,0.1238069,0.0001032017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780797,0.004516119,0.01227606,0.0002355415,0.001483472,0.0001368933,0.000004508362,0.00002367838,0.003244028],"genre_scores_gemma":[0.9958217,0.0001263187,0.003276211,0.0001331474,0.0003531097,0.00001125116,0.000005794901,0.000005857355,0.0002666245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1237037,"threshold_uncertainty_score":0.2842907,"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."}}