{"id":"W2805282888","doi":"10.1016/j.tibtech.2018.04.008","title":"Building Capacity for a Global Genome Editing Observatory: Institutional Design","year":2018,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"National Institute of General Medical Sciences; World Health Organization","keywords":"Observatory; Genome editing; Key (lock); Reflection (computer programming); Genome; Capacity building; Computer science; Biology; Political science; Gene; Genetics; Ecology","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":[0.03229919,0.0008774971,0.0004947223,0.002701848,0.007820379,0.01255943,0.005087384,0.003569169,0.03602882],"category_scores_gemma":[0.03048106,0.0007505736,0.0007152341,0.002008913,0.006895203,0.0169253,0.02924284,0.005719059,0.004820513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01141726,"about_ca_system_score_gemma":0.07600877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103366,"about_ca_topic_score_gemma":0.01715636,"domain_scores_codex":[0.9873115,0.003987365,0.000543622,0.002088655,0.001600528,0.00446833],"domain_scores_gemma":[0.9290601,0.009479214,0.004955681,0.01158689,0.01170311,0.03321493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006073993,0.001473432,0.03311026,0.0008619524,0.0002327499,0.0008663004,0.007782489,0.01884125,0.01212974,0.5727964,0.08944518,0.2618529],"study_design_scores_gemma":[0.0004971354,0.001194726,0.026603,0.001157271,0.0001404829,0.0004454538,0.03579723,0.0244193,0.009633834,0.3250071,0.5746546,0.0004498652],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1878825,0.001558731,0.4116175,0.1683284,0.002600184,0.007901895,0.001803291,0.005652469,0.2126551],"genre_scores_gemma":[0.8198419,0.0007485749,0.1357494,0.006647808,0.0005507756,0.003831496,0.00098029,0.0005042733,0.03114552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03602882,"threshold_uncertainty_score":0.1708165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572064149874072,"score_gpt":0.3246312084591317,"score_spread":0.288910566960391,"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."}}