{"meta":{"query_hash":"a28ff89eca00","filters":{"venue":"Wukari International Studies Journal"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/a28ff89eca00","api":"https://metacan.xera.ac/api/v1/cohort?venue=Wukari+International+Studies+Journal"},"results":[{"id":"W4413985860","doi":"10.64633/wissj.v9i4.14","title":"ASSESSMENT OF SOCIOLOGICAL DETERMINANTS OF WOMEN PARTICIPATION IN ELECTORAL AND POLITICAL ACTIVITIES: EVIDENCE FROM OKENE LGA OF KOGI STATE","year":2025,"lang":"en","type":"article","venue":"Wukari International Studies Journal","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ottawa","keywords":"State (computer science); Politics; Sociology; Gender studies; Political science; Social science; Mathematics; Law","score_opus":0.05216880812247228,"score_gpt":0.39655187466750785,"score_spread":0.3443830665450356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413985860","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":[0.9986802,0.00017804516,0.00003171485,0.000069150155,0.000002500733,0.0000063208986,0.00008081543,4.2879876e-7,0.0009508941],"genre_scores_gemma":[0.99909556,0.0002690069,0.000059701677,0.00003937976,0.0000034739644,0.00001699657,0.000095284806,0.0000011221962,0.00041964318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956805,0.00016091327,0.000031396517,0.000062415966,0.00004891429,0.00012828525],"domain_scores_gemma":[0.9989126,0.00049522496,0.00031328044,0.00004574357,0.00011339948,0.00011984114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000759676,0.0002303147,0.00030604753,0.0012303436,0.0016808505,0.0010515488,0.00038910354,0.00038607002,0.00333639],"category_scores_gemma":[0.0015611568,0.00026749124,0.00022399223,0.0014895606,0.0011673488,0.0007444279,0.0010429457,0.0004612351,0.00044096282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042457894,0.00010015668,0.9528698,0.0001440553,0.000019792113,0.00031131288,0.037374463,0.00001559914,0.00038063186,0.0003085478,0.00020993451,0.008223318],"study_design_scores_gemma":[0.0000013319124,0.00006654944,0.873518,0.0001338673,0.000021260335,0.00016299644,0.12427256,0.00003753544,0.00009125598,0.00007256186,0.0016164281,0.000005745025],"about_ca_topic_score_codex":0.021382254,"about_ca_topic_score_gemma":0.06861731,"teacher_disagreement_score":0.021382254,"about_ca_system_score_codex":0.00068845745,"about_ca_system_score_gemma":0.0012589847,"threshold_uncertainty_score":0.042515576},"labels":[],"label_agreement":null},{"id":"W7109220861","doi":"10.64633/wissj.v9i6.18","title":"TRANSLATING BUSINESS INTELLIGENCE INSIGHTS INTO GROWTH: A FRAMEWORK FOR BANK PRODUCT MANAGERS","year":2025,"lang":"en","type":"article","venue":"Wukari International Studies Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"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":"Business intelligence; Business analytics; Competitive intelligence; Leverage (statistics); Product (mathematics); Information technology; Business process; Retail banking; Business analysis; Business information","score_opus":0.080823115691611,"score_gpt":0.3543091483113876,"score_spread":0.2734860326197766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7109220861","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":[0.2085423,0.0057019982,0.1952614,0.12214308,0.00061018113,0.0010901088,0.0003876299,0.0004444907,0.46581876],"genre_scores_gemma":[0.9044669,0.002581691,0.08329561,0.0017231902,0.000116514784,0.0006569085,0.00014576675,0.000076838,0.006936521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9930704,0.005100065,0.00022273617,0.00035166254,0.0006829468,0.0005721623],"domain_scores_gemma":[0.98545605,0.010070787,0.0011434645,0.0004682625,0.0016307605,0.0012306398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014525309,0.0014832669,0.0004585712,0.0072714402,0.005189846,0.018932236,0.0024205258,0.0031400733,0.0035361971],"category_scores_gemma":[0.016793849,0.00055470376,0.00057820085,0.0052616256,0.02229375,0.023018356,0.008770801,0.00460623,0.00061163725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031587326,0.0002334406,0.008150473,0.00033043983,0.000017966893,0.000866723,0.17819719,0.0009817499,0.0005521012,0.73239493,0.0042986916,0.073944695],"study_design_scores_gemma":[0.000021206224,0.00011799119,0.004944234,0.0016366013,0.00002541834,0.00029880682,0.41212976,0.0057022707,0.0005405821,0.4604696,0.11405459,0.000058885733],"about_ca_topic_score_codex":0.0063377866,"about_ca_topic_score_gemma":0.0064561507,"teacher_disagreement_score":0.018932236,"about_ca_system_score_codex":0.008765674,"about_ca_system_score_gemma":0.010215093,"threshold_uncertainty_score":0.07681811},"labels":[],"label_agreement":null}]}