{"id":"W4308881984","doi":"10.1136/bmjgh-2022-009849","title":"Cancer research across Africa: a comparative bibliometric analysis","year":2022,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute; Science and Technology Facilities Council; Wellcome Trust; World Health Organization","keywords":"Context (archaeology); Bibliometrics; Stakeholder; Political science; Geography; Regional science; Medicine; Library science; Computer science; Public relations","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01957578,0.0006590406,0.002444106,0.1887579,0.00193546,0.006770623,0.0009609213,0.000749943,0.004404827],"category_scores_gemma":[0.09809321,0.0003824195,0.002205169,0.2507315,0.001153216,0.004666591,0.003981565,0.0004690244,0.0005320015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004405052,"about_ca_system_score_gemma":0.006518237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008690195,"about_ca_topic_score_gemma":0.007000241,"domain_scores_codex":[0.9796919,0.006709337,0.004122543,0.001564353,0.007144698,0.0007672306],"domain_scores_gemma":[0.9154192,0.05438612,0.01441293,0.002568001,0.01226373,0.0009501189],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006898521,0.0001861414,0.6098643,0.02640937,0.004253399,0.0009092455,0.01279919,0.002937575,0.001113329,0.01129864,0.01055006,0.3189888],"study_design_scores_gemma":[0.00008620426,0.000355144,0.903196,0.005596703,0.00269216,0.001321915,0.02351702,0.005138016,0.0007299804,0.005495438,0.05174327,0.0001281685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450869,0.0532359,0.007664129,0.003838895,0.0001878182,0.00229098,0.0515327,0.0003698497,0.03579293],"genre_scores_gemma":[0.9574582,0.01955391,0.01020976,0.0001197844,0.0001687316,0.001266456,0.01050589,0.00005515392,0.0006620705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9804242,"threshold_uncertainty_score":0.1035278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.866768386049011,"score_gpt":0.7615708795367876,"score_spread":0.1051975065122234,"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."}}