{"meta":{"query_hash":"850b876f4045","filters":{"venue":"Nature Africa"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/850b876f4045","api":"https://metacan.xera.ac/api/v1/cohort?venue=Nature+Africa"},"results":[{"id":"W4385787752","doi":"10.1038/d44148-023-00205-0","title":"Mettre l’Afrique sur la carte","year":2023,"lang":"fr","type":"article","venue":"Nature Africa","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.01668648070309543,"score_gpt":0.2300743372074087,"score_spread":0.21338785650431327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385787752","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1975801,0.0405064,0.009232959,0.08141283,0.012644077,0.00027713872,0.0017131893,0.0005927598,0.6560406],"genre_scores_gemma":[0.3560777,0.018730424,0.00980773,0.00645175,0.0039138636,0.00025587907,0.0006811638,0.0003273478,0.6037541],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99877435,0.0005198953,0.000045486344,0.0001368874,0.00031028324,0.0002131285],"domain_scores_gemma":[0.9990571,0.00038797923,0.00010033143,0.0000681629,0.00025630623,0.00013011655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010099534,0.0010629244,0.0005458109,0.0013878153,0.005085434,0.0032062058,0.000513587,0.0017140263,0.06520449],"category_scores_gemma":[0.0030543169,0.00039367392,0.00056214514,0.001826175,0.0013975997,0.0029039849,0.0013159598,0.0039059082,0.005718557],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013097158,0.0003795624,0.014213265,0.0015537915,0.00025751907,0.007744406,0.028753387,0.0013101792,0.014268628,0.2508862,0.22160053,0.45772296],"study_design_scores_gemma":[0.0000432513,0.000061668725,0.006734915,0.00015855044,0.000011583607,0.00066427054,0.002329494,0.00014901796,0.0005821231,0.0011426928,0.9881005,0.000021744883],"about_ca_topic_score_codex":0.113100804,"about_ca_topic_score_gemma":0.17250605,"teacher_disagreement_score":0.113100804,"about_ca_system_score_codex":0.004453142,"about_ca_system_score_gemma":0.0033306426,"threshold_uncertainty_score":0.22488493},"labels":[],"label_agreement":null},{"id":"W4385794079","doi":"10.1038/d44148-023-00204-1","title":"Putting Africa on the map","year":2023,"lang":"en","type":"article","venue":"Nature Africa","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Geography; Cartography; Data science; Computer science","score_opus":0.03605825818432667,"score_gpt":0.3007635744995636,"score_spread":0.2647053163152369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385794079","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040551675,0.033818625,0.0044310503,0.46743503,0.03983519,0.000050000122,0.00093818427,0.00038646223,0.4490503],"genre_scores_gemma":[0.33035192,0.077417776,0.015674755,0.14540249,0.015242125,0.00036122647,0.0018611342,0.0013195997,0.41236886],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9983565,0.0005252263,0.000050051265,0.00014593732,0.0003418557,0.00058041635],"domain_scores_gemma":[0.9983026,0.0003721779,0.00008046601,0.00023989791,0.00048928254,0.0005156024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022162683,0.0010924943,0.00062296184,0.0018575469,0.0057673757,0.011199265,0.001087608,0.0042670793,0.056295235],"category_scores_gemma":[0.00723388,0.00033366698,0.00035341873,0.0020210815,0.0063623404,0.02148871,0.008743616,0.00803843,0.00978975],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006269794,0.000026859738,0.0004066763,0.00030119962,0.000014901414,0.0003527686,0.0030620918,0.00028649022,0.00045625097,0.3932183,0.51480955,0.087002225],"study_design_scores_gemma":[0.0000026098423,0.000007071038,0.00016416145,0.00021316155,0.000003092244,0.00003327057,0.0025595296,0.000029800178,0.00006801997,0.051082894,0.9458294,0.000006978029],"about_ca_topic_score_codex":0.011624406,"about_ca_topic_score_gemma":0.015289718,"teacher_disagreement_score":0.056295235,"about_ca_system_score_codex":0.0032162808,"about_ca_system_score_gemma":0.007369484,"threshold_uncertainty_score":0.1883263},"labels":[],"label_agreement":null},{"id":"W4402858801","doi":"10.1038/d44148-024-00281-w","title":"Faisons attention à la réalité du noma","year":2024,"lang":"fr","type":"article","venue":"Nature Africa","topic":"HIV/AIDS oral health manifestations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Noma; Physics; Power (physics)","score_opus":0.012749166019849224,"score_gpt":0.32742413560580497,"score_spread":0.31467496958595575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402858801","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055191587,0.051930875,0.0015171752,0.8808345,0.03055817,0.000009984783,0.00008566144,0.00003975483,0.02950461],"genre_scores_gemma":[0.4049413,0.09803089,0.00880144,0.337972,0.07987777,0.00012342173,0.00019813907,0.00031201213,0.069743134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9880611,0.007351281,0.0006579033,0.0009283412,0.0020129231,0.0009883243],"domain_scores_gemma":[0.94988626,0.033813093,0.002621893,0.0024052227,0.008423759,0.002849756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017229022,0.00047377977,0.0008192163,0.0014801507,0.0054774433,0.009836091,0.0016171485,0.009456627,0.015154109],"category_scores_gemma":[0.06263098,0.0003169877,0.00061778794,0.0010273664,0.012591984,0.011100746,0.0043244376,0.012136554,0.0026705472],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019908088,0.00009385485,0.008070877,0.0017667074,0.000064784275,0.004685183,0.025536576,0.00032412764,0.0011267959,0.37599614,0.3568525,0.22528334],"study_design_scores_gemma":[0.000008959309,0.000026673833,0.0013737318,0.0014976277,0.000015056077,0.0028582918,0.009947897,0.0001205097,0.00016964406,0.031798676,0.95215094,0.000031915875],"about_ca_topic_score_codex":0.010674329,"about_ca_topic_score_gemma":0.02064516,"teacher_disagreement_score":0.017229022,"about_ca_system_score_codex":0.0053505953,"about_ca_system_score_gemma":0.007577144,"threshold_uncertainty_score":0.091116846},"labels":[],"label_agreement":null},{"id":"W4416614414","doi":"10.1038/d44148-025-00371-3","title":"What AI can do for improving health in Africa","year":2025,"lang":"en","type":"article","venue":"Nature Africa","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Public health; Health care; Healthcare system; Health services; MEDLINE; mHealth","score_opus":0.06829542738535464,"score_gpt":0.4316518133330175,"score_spread":0.36335638594766284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416614414","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004297291,0.08305687,0.002837098,0.82098943,0.0075356034,0.000048750488,0.0002249102,0.00007272563,0.080937296],"genre_scores_gemma":[0.4677907,0.25770652,0.019929422,0.20877463,0.011324551,0.00032984113,0.00032164715,0.00014127522,0.03368147],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99691486,0.0016670169,0.000102984595,0.00015827492,0.00041913195,0.00073766906],"domain_scores_gemma":[0.98990697,0.005791287,0.0006553591,0.00045752007,0.0012439928,0.0019448469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069875447,0.0010770084,0.00062156876,0.0016708641,0.0026688194,0.0061165225,0.0009859406,0.0045555555,0.017274287],"category_scores_gemma":[0.016158747,0.00028154027,0.00087171944,0.001423841,0.0061552487,0.009352439,0.0028919491,0.004864845,0.002634137],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003098431,0.00054510415,0.0098417755,0.0072927643,0.000649559,0.0012367123,0.005598791,0.002735862,0.0019577541,0.30923188,0.28925046,0.3713495],"study_design_scores_gemma":[0.00012972971,0.00014123062,0.005791222,0.010394994,0.00024663738,0.00055685145,0.010575188,0.0008876052,0.0011665592,0.35625854,0.61377025,0.00008107856],"about_ca_topic_score_codex":0.009597923,"about_ca_topic_score_gemma":0.008106243,"teacher_disagreement_score":0.017274287,"about_ca_system_score_codex":0.003472677,"about_ca_system_score_gemma":0.01132895,"threshold_uncertainty_score":0.057788253},"labels":[],"label_agreement":null},{"id":"W4417355423","doi":"10.1038/d44148-025-00385-x","title":"L'état des villes intelligentes dans la région MENA","year":2025,"lang":"en","type":"article","venue":"Nature Africa","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Quarter (Canadian coin); Urban planning","score_opus":0.007205041737709109,"score_gpt":0.29524215984624613,"score_spread":0.28803711810853705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417355423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92772466,0.0037944745,0.0015961659,0.0040561627,0.00013329326,0.00005374908,0.00024934587,0.00007221192,0.0623201],"genre_scores_gemma":[0.95221454,0.0018389567,0.0013238096,0.00017085545,0.00007687198,0.000060823382,0.000061661834,0.000015454865,0.04423709],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995403,0.00015256,0.000010892572,0.00006982248,0.0000670276,0.00015935497],"domain_scores_gemma":[0.9991033,0.0003879467,0.0001560429,0.000031474323,0.00011169358,0.00020954535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066258694,0.0005153791,0.00036511998,0.00078751286,0.004999945,0.0039119185,0.00052017136,0.0011838282,0.009550302],"category_scores_gemma":[0.001783853,0.00034983893,0.00035146557,0.0010066441,0.0020665673,0.0017146489,0.0014757224,0.0017156434,0.00072300417],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020497695,0.0006375961,0.1670032,0.0015462795,0.00022350384,0.01902133,0.23022497,0.004788842,0.032028474,0.29282486,0.00920998,0.24044123],"study_design_scores_gemma":[0.00016343001,0.0004104518,0.387078,0.00051133754,0.000074093456,0.0040865224,0.089732654,0.0018846513,0.002482289,0.005012162,0.50846493,0.000099437384],"about_ca_topic_score_codex":0.12192568,"about_ca_topic_score_gemma":0.16834825,"teacher_disagreement_score":0.12192568,"about_ca_system_score_codex":0.0051251366,"about_ca_system_score_gemma":0.0033619553,"threshold_uncertainty_score":0.242432},"labels":[],"label_agreement":null},{"id":"W7106525455","doi":"10.1038/d44148-025-00370-4","title":"Ce que l'IA peut faire pour améliorer la santé en Afrique","year":2025,"lang":"en","type":"article","venue":"Nature Africa","topic":"Viral Infections and Outbreaks Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Context (archaeology); Presentation (obstetrics); Order (exchange)","score_opus":0.008547562938014069,"score_gpt":0.3606605801120429,"score_spread":0.3521130171740288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106525455","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025044693,0.025897084,0.00931489,0.70869905,0.025109278,0.00020435975,0.0007248099,0.00046816014,0.2045377],"genre_scores_gemma":[0.47126073,0.042993847,0.035723276,0.2125914,0.026034001,0.000452336,0.0011827138,0.00035116466,0.20941049],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.994736,0.0023402781,0.00023948557,0.00035086667,0.0010393129,0.0012939568],"domain_scores_gemma":[0.98850983,0.0034503003,0.0012159218,0.00094789785,0.0037853841,0.002090697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008754798,0.0010232306,0.0007003906,0.001199357,0.0035936488,0.007545919,0.0010444258,0.005029824,0.03424908],"category_scores_gemma":[0.020623257,0.00028582214,0.000985098,0.00094010105,0.0026428227,0.004277997,0.002814522,0.0066480907,0.0067319586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008372403,0.00091856276,0.035471402,0.002445274,0.00041323696,0.0021341566,0.010379973,0.0016951879,0.01215712,0.22843827,0.3700185,0.33509114],"study_design_scores_gemma":[0.00011044228,0.00047621084,0.012927142,0.0018759626,0.00012165417,0.0014648335,0.00784807,0.0006726857,0.001974288,0.026418962,0.9460425,0.00006722451],"about_ca_topic_score_codex":0.04344651,"about_ca_topic_score_gemma":0.034730963,"teacher_disagreement_score":0.04344651,"about_ca_system_score_codex":0.0054121595,"about_ca_system_score_gemma":0.014105746,"threshold_uncertainty_score":0.11457455},"labels":[],"label_agreement":null}]}