{"id":"W2927842893","doi":"10.1177/1535676019838075","title":"Developing a Comprehensive, Adaptive, and International Biosafety and Biosecurity Program for Advanced Biotechnology: The iGEM Experience","year":2019,"lang":"en","type":"article","venue":"Applied Biosafety","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Open Philanthropy Project","keywords":"Biosecurity; Biosafety; Risk analysis (engineering); Competition (biology); Biotechnology; Business; Engineering; Medicine; Biology","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":[0.0001275971,0.0001763092,0.000162445,0.00003682176,0.0001653618,0.00004276308,0.0002621287,0.0002035435,0.000009453152],"category_scores_gemma":[0.00002347521,0.000129759,0.0000402082,0.0001083082,0.00035939,0.00000671983,0.0003919613,0.000111145,0.000005357492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001576609,"about_ca_system_score_gemma":0.00004816771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007614742,"about_ca_topic_score_gemma":0.00001232708,"domain_scores_codex":[0.9989082,0.00001702024,0.0001808075,0.0005023933,0.00009768744,0.0002939109],"domain_scores_gemma":[0.999466,0.00003927466,0.00006986278,0.0002718602,0.00009566113,0.00005731386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007805479,0.00003666426,0.0003131742,0.00003112658,0.00006060551,2.938105e-7,0.00009864003,8.35591e-7,0.8444388,0.04843718,0.00004493955,0.1057572],"study_design_scores_gemma":[0.003857618,0.0008033165,0.06189624,0.00003840234,0.00001742976,0.0000221501,0.001379901,0.0004654745,0.445134,0.00148336,0.4841794,0.000722729],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916509,0.0004499308,0.001851924,0.003607265,0.0002087356,0.001505607,0.00005897241,0.00003849355,0.0006281694],"genre_scores_gemma":[0.9891114,0.001122644,0.009058474,0.0002689863,0.0000734389,0.0002065926,0.0000735018,0.00001601141,0.00006897166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4841345,"threshold_uncertainty_score":0.5291419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143306411944047,"score_gpt":0.2991637565012542,"score_spread":0.2777306923818137,"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."}}