{"id":"W2616140259","doi":"10.1016/j.molcel.2017.05.007","title":"Synthetic Genomics: Rewriting the Genome Chromosome by Chromosome","year":2017,"lang":"en","type":"article","venue":"Molecular Cell","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"","keywords":"Biology; Genomics; Genetics; Chromosome; Genome; Rewriting; Computational biology; Gene; Programming language","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":[0.0004299544,0.0006554942,0.0005816616,0.0004123423,0.0003914495,0.001071543,0.0008520185,0.0008118396,0.002891123],"category_scores_gemma":[0.000646034,0.000435473,0.000515279,0.0003717356,0.001525439,0.001148439,0.0009989947,0.00173105,0.001246845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00068922,"about_ca_system_score_gemma":0.0006215113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006488897,"about_ca_topic_score_gemma":0.0008446939,"domain_scores_codex":[0.9996649,0.00007296627,0.00001444343,0.00008856133,0.0001132557,0.00004590481],"domain_scores_gemma":[0.9997908,0.00006987869,0.00003076861,0.00005892878,0.00001850529,0.00003112041],"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":[0.0001404041,0.00005908266,0.0002578566,0.0002700513,0.00003324614,0.0002185928,0.0001486106,0.004667058,0.7978775,0.1605095,0.001772896,0.03404525],"study_design_scores_gemma":[0.00007831051,0.0003256547,0.0006254281,0.00004812229,0.00004575555,0.0007726104,0.0001470801,0.01105505,0.8298167,0.06579732,0.09120785,0.00008011303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1600217,0.008045713,0.7903302,0.003852184,0.002159486,0.0001612227,0.0005493904,0.002555116,0.032325],"genre_scores_gemma":[0.6431842,0.006840834,0.3227004,0.001429743,0.0002071356,0.0001829488,0.000618609,0.0007577766,0.02407834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002891123,"threshold_uncertainty_score":0.009671748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00496972017538335,"score_gpt":0.2429588081038627,"score_spread":0.2379890879284793,"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."}}