{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003778941,0.001551114,0.0007580312,0.001576086,0.0009352842,0.003558804,0.00235503,0.001324616,0.01224023],"category_scores_gemma":[0.005856731,0.001418346,0.001874762,0.0008518996,0.001889016,0.002393586,0.003079936,0.00227018,0.006916034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120562,"about_ca_system_score_gemma":0.003205243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908415,"about_ca_topic_score_gemma":0.002848241,"domain_scores_codex":[0.9986888,0.0003955133,0.00015568,0.0001587357,0.0004529737,0.000148312],"domain_scores_gemma":[0.9971904,0.001327662,0.0001951088,0.000829548,0.0003352353,0.0001220467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007064247,0.0004252213,0.003618481,0.001646608,0.000178571,0.0008969841,0.00318455,0.09295711,0.06030307,0.5207415,0.03285697,0.2824846],"study_design_scores_gemma":[0.0002344348,0.0002041256,0.000586146,0.0005002025,0.00009915969,0.000556061,0.0002744579,0.2328594,0.07143513,0.2485106,0.4445465,0.0001937387],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004279871,0.00008547929,0.9708557,0.0001676167,0.00005715993,0.0001125077,0.0004172968,0.017809,0.006215393],"genre_scores_gemma":[0.05052548,0.0004483573,0.9277939,0.0003696137,0.00003427273,0.0008756624,0.002426289,0.009635814,0.007890602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01224023,"threshold_uncertainty_score":0.04094768,"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."}}