{"id":"W2951345899","doi":"10.1038/d41586-019-01885-1","title":"Build science in Africa","year":2019,"lang":"en","type":"article","venue":"Nature","topic":"Global Health and Surgery","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Climate change; Population growth; Population; Geography; Political science; Ecology; Medicine; Biology; Environmental health","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009005594,0.001227345,0.0006474764,0.002531017,0.007650213,0.008009436,0.0008434979,0.00492886,0.03445149],"category_scores_gemma":[0.01399387,0.0003576454,0.0005087073,0.001574935,0.01261729,0.01368551,0.01126951,0.008294967,0.005672355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00517635,"about_ca_system_score_gemma":0.01724607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002952122,"about_ca_topic_score_gemma":0.004597993,"domain_scores_codex":[0.9969593,0.001300751,0.00008672352,0.0002587563,0.0005600356,0.0008344014],"domain_scores_gemma":[0.9936877,0.002345128,0.0003697067,0.0006427913,0.0009217726,0.002032891],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006363168,0.00007524499,0.0006923909,0.0005336811,0.00003350376,0.0003485947,0.006047221,0.0002715938,0.0008418874,0.7616509,0.1671636,0.06227779],"study_design_scores_gemma":[0.00001540387,0.00003377843,0.0002975014,0.0004485015,0.000009349496,0.00005950073,0.001974123,0.00004557035,0.00025131,0.12571,0.8711471,0.000007811215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0082528,0.06774668,0.004771262,0.4935381,0.02028512,0.0001242771,0.0002427794,0.0002152431,0.4048239],"genre_scores_gemma":[0.4509234,0.08114312,0.01251662,0.1381545,0.01224696,0.0005027083,0.0003150022,0.0005260913,0.3036716],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9909944,"threshold_uncertainty_score":0.1152517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008245464488520779,"score_gpt":0.3037173382855378,"score_spread":0.295471873797017,"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."}}