{"id":"W4377018328","doi":"10.1016/s1474-4422(23)00164-3","title":"The Brain Research Africa Initiative (BRAIN)","year":2023,"lang":"en","type":"letter","venue":"The Lancet Neurology","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Government (linguistics); Commission; Economic shortage; Economic growth; Brain research; Political science; Medicine; Psychology; Law","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":["research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001947003,0.0002331478,0.0005659788,0.0002108519,0.0006359582,0.00002272975,0.0009778301,0.008854544,0.00007612938],"category_scores_gemma":[0.002575933,0.0001130543,0.0001265521,0.000655686,0.002042249,0.00001342221,0.0004263096,0.04714239,0.001383517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000174416,"about_ca_system_score_gemma":0.0001471438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001439047,"about_ca_topic_score_gemma":0.00001885354,"domain_scores_codex":[0.9962293,0.001556624,0.000261828,0.000468062,0.0003717268,0.001112459],"domain_scores_gemma":[0.9865643,0.01184734,0.0001101269,0.001326925,0.0001172366,0.00003406475],"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":[0.000312547,0.000008573767,0.00001680479,0.00003215612,0.0001965021,0.002411006,0.000275413,3.407574e-7,0.00004967046,0.002042626,0.9939197,0.0007347041],"study_design_scores_gemma":[0.0005312353,0.0007087667,0.0005302528,0.00002730217,0.0000469476,0.000411437,0.00003003626,0.00002356365,0.00003082223,0.01412582,0.9834344,0.00009934702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003556982,0.0008209851,0.000003807391,0.9737043,0.001165429,0.0005313444,0.00002019497,0.0003183891,0.02307981],"genre_scores_gemma":[0.001545063,0.00207119,0.000005202091,0.9589478,0.006882238,0.0001164499,0.00003954391,0.00007178366,0.03032067],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03828785,"threshold_uncertainty_score":0.999394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1523837747344541,"score_gpt":0.3660319053367361,"score_spread":0.2136481306022821,"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."}}