{"id":"W2342621714","doi":"10.1021/acssynbio.5b00215","title":"Sharing Structure and Function in Biological Design with SBOL 2.0","year":2016,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Division of Biological Infrastructure; Engineering and Physical Sciences Research Council","keywords":"Synthetic biology; Workflow; Function (biology); Computer science; Field (mathematics); Set (abstract data type); Software engineering; Software; Systems biology; Computational biology; Systems engineering; Data science; Engineering; Biology; Genetics; Database; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001684872,0.0001507069,0.0001770827,0.00005921398,0.00003925769,0.000006682578,0.0001287929,0.0002723793,0.00004101271],"category_scores_gemma":[0.00004825564,0.0000834593,0.00002680284,0.00008684173,0.0002127932,0.000002399246,0.0001041834,0.00005465993,0.000004088677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001168854,"about_ca_system_score_gemma":0.00002120302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006706009,"about_ca_topic_score_gemma":0.00003991124,"domain_scores_codex":[0.9989403,0.0001240852,0.0001464368,0.000497777,0.00003458129,0.0002567732],"domain_scores_gemma":[0.9995422,0.00003557357,0.00005587401,0.000287351,0.00002690203,0.00005205516],"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":[0.0001705033,0.00001285951,0.1343301,0.000002463111,0.00005595976,0.000001787795,0.00000724674,0.00005664102,0.847748,0.0003078523,0.00002684985,0.01727974],"study_design_scores_gemma":[0.00317905,0.003451451,0.1822,0.000108096,0.0001675893,0.0003056011,0.00008035441,0.0002711035,0.7786885,0.01423402,0.01609789,0.001216308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807512,0.0007563708,0.01807982,0.0002010141,0.00004247169,0.0001120525,0.000004956953,0.00001103718,0.00004105928],"genre_scores_gemma":[0.9987445,0.000223588,0.0007393556,0.00009357087,0.00008313004,0.00001502085,0.00001380432,0.0000129058,0.00007413961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06905942,"threshold_uncertainty_score":0.3403371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349545585732859,"score_gpt":0.2168871085614753,"score_spread":0.2033916527041467,"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."}}