{"id":"W2235097082","doi":"10.3389/fpubh.2015.00264","title":"Building International Genomics Collaboration for Global Health Security","year":2015,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Los Alamos National Laboratory; Foreign Affairs and International Trade Canada; Defense Threat Reduction Agency; U.S. Department of State","keywords":"Genomics; Procurement; Data science; Data sharing; Genome; Computer science; Medicine; Business; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135753,0.0001128337,0.0001934312,0.000102746,0.00007942119,0.00008910162,0.0003314181,0.0001395356,0.000001697137],"category_scores_gemma":[0.000710109,0.000114793,0.00004318156,0.0002224426,0.00008846183,0.00001424942,0.0001200695,0.0000952864,0.00000166762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008903189,"about_ca_system_score_gemma":0.004565963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006212189,"about_ca_topic_score_gemma":0.0002141461,"domain_scores_codex":[0.9983,0.000104398,0.0004522379,0.0002586789,0.0003242301,0.0005604929],"domain_scores_gemma":[0.9987495,0.000006582557,0.0001578081,0.0002000897,0.0002932954,0.0005927394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001652147,0.0002532667,0.01292175,0.0001656336,0.00007903582,6.99876e-7,0.001580005,0.00005839353,0.00009706644,0.002962174,0.7596191,0.2220976],"study_design_scores_gemma":[0.001314911,0.0005640631,0.0008128901,0.0000100596,8.524149e-7,0.000003422193,0.00215842,0.007313332,0.0001020272,0.004430646,0.9831578,0.0001315436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08215857,0.002322259,0.8243105,0.08112725,0.006239816,0.001525222,0.000610331,0.00003453079,0.001671456],"genre_scores_gemma":[0.7335322,0.002484642,0.2527206,0.007973879,0.001195708,0.00009197041,0.001750303,0.00002728996,0.0002234214],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6513736,"threshold_uncertainty_score":0.8099821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237340937238268,"score_gpt":0.3615108100867456,"score_spread":0.3291374007143629,"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."}}