{"id":"W2914018875","doi":"10.3389/fgene.2019.00095","title":"Genomics for All: International Open Science Genomics Projects and Capacity Building in the Developing World","year":2019,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Université de Montréal; Fonds de Recherche du Québec-Société et Culture; McGill University; Université Laval; Bill and Melinda Gates Foundation","keywords":"Genomics; International HapMap Project; Developing country; Capacity building; Structural genomics; Data science; Business; Political science; Biology; Computer science; Genome; Human genome; Genetics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001459133,0.0001328756,0.0001520706,0.0002343619,0.00007664712,0.0002060482,0.00156334,0.00009673007,0.000001533578],"category_scores_gemma":[0.0001971621,0.0001116248,0.00002870392,0.0002412822,0.0003127756,0.00001329049,0.000796672,0.0001401109,0.000001244471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455319,"about_ca_system_score_gemma":0.0004404039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002345134,"about_ca_topic_score_gemma":0.0001668427,"domain_scores_codex":[0.9986,0.00003534132,0.0003092097,0.0003644121,0.000264918,0.0004261277],"domain_scores_gemma":[0.9994153,0.00002601342,0.00007818139,0.0003091337,0.0001005515,0.00007075546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005690104,0.0002736261,0.4874626,0.0004362999,0.0001822208,0.000006385863,0.00816325,0.0009855675,0.3763804,0.002273028,0.01269895,0.1105687],"study_design_scores_gemma":[0.004826705,0.0006797331,0.08261095,0.000129588,0.00002547482,0.00002856259,0.006156193,0.06216681,0.1362195,0.005907607,0.7001158,0.001133074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830368,0.0003596265,0.01317468,0.0006424462,0.0007648869,0.001170419,0.00002222744,0.000002405863,0.000826465],"genre_scores_gemma":[0.7080979,0.001308017,0.2891816,0.0009670691,0.0001350109,0.00005551356,0.00003683522,0.00001688529,0.0002010596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6874169,"threshold_uncertainty_score":0.4551926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606172576471244,"score_gpt":0.3116325018194208,"score_spread":0.2755707760547083,"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."}}