{"id":"W2796415147","doi":"10.1021/acssynbio.7b00363","title":"MIDAS: A Modular DNA Assembly System for Synthetic Biology","year":2018,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Business, Innovation and Employment; Fulbright New Zealand; Alberta Agricultural Research Institute; University of Canterbury","keywords":"Synthetic biology; Modular design; Computational biology; Biology; DNA; Computer science; Genetics; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005152929,0.001324047,0.0007701592,0.0008975224,0.0005835526,0.0008340581,0.00139546,0.0006311429,0.00315759],"category_scores_gemma":[0.0004554366,0.0009202975,0.0007873991,0.0004369321,0.0003579963,0.0007966988,0.001063166,0.002244127,0.003715224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006411502,"about_ca_system_score_gemma":0.0005235521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003407693,"about_ca_topic_score_gemma":0.0003652359,"domain_scores_codex":[0.9993814,0.00007460874,0.00005540915,0.0001427801,0.000283325,0.00006247559],"domain_scores_gemma":[0.9998061,0.0000338235,0.00004949511,0.00003346887,0.00002943853,0.00004766699],"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":[0.0002158652,0.00006652252,0.0002311541,0.0004441282,0.00003814889,0.0001654366,0.00007383565,0.002492429,0.9330287,0.006155164,0.003118869,0.05396977],"study_design_scores_gemma":[0.00005791903,0.0004045377,0.000447794,0.00004696657,0.00003982391,0.000831958,0.00001689825,0.01874558,0.8167988,0.00177091,0.1607534,0.00008528223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03457843,0.001993493,0.9335942,0.0002078156,0.0004007333,0.0004680929,0.00171739,0.02354231,0.003497525],"genre_scores_gemma":[0.1355593,0.002279246,0.841816,0.0002759008,0.0001324797,0.001480872,0.007840689,0.001558582,0.00905693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00315759,"threshold_uncertainty_score":0.01056319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781519051785452,"score_gpt":0.2726757459853574,"score_spread":0.2548605554675029,"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."}}