{"id":"W2493758942","doi":"10.1016/j.tcs.2017.03.040","title":"Outfix-guided insertion","year":2017,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Science and Technology; Ministry of Science, ICT and Future Planning","keywords":"Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007530898,0.001474501,0.001115797,0.001038477,0.001332904,0.001713682,0.002235969,0.001800699,0.02730199],"category_scores_gemma":[0.002745938,0.0006477736,0.001158677,0.001048186,0.001407991,0.00215147,0.003787963,0.00174094,0.008558124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007747074,"about_ca_system_score_gemma":0.001155357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124215,"about_ca_topic_score_gemma":0.002444053,"domain_scores_codex":[0.998823,0.0001502574,0.00006088789,0.0003100324,0.0003899392,0.0002658944],"domain_scores_gemma":[0.9979119,0.0005199289,0.0001004091,0.001038616,0.0003334084,0.00009568091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001523246,0.0004130331,0.00321057,0.0005926888,0.0001182931,0.0009268618,0.0007066716,0.02165223,0.1037854,0.1847774,0.03048664,0.6518071],"study_design_scores_gemma":[0.000225574,0.0006439384,0.001907668,0.0001884779,0.0002301051,0.001762831,0.0004888711,0.2109672,0.297805,0.3284517,0.1571087,0.0002200271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0820503,0.0002829752,0.8454573,0.0005672015,0.0005797736,0.0002497864,0.0009636197,0.01956273,0.05028636],"genre_scores_gemma":[0.4873424,0.0002568443,0.4381026,0.0007799611,0.0001251504,0.0002339221,0.002306669,0.0066285,0.06422388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02730199,"threshold_uncertainty_score":0.09133428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144001326919177,"score_gpt":0.2984234565227588,"score_spread":0.2769834432535671,"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."}}