{"meta":{"query_hash":"a222d4938d29","filters":{"venue":"Figure"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/a222d4938d29","api":"https://metacan.xera.ac/api/v1/cohort?venue=Figure"},"results":[{"id":"W4312677047","doi":"10.1007/978-981-19-2476-7_5","title":"The Research Persona Method: Figuring and Reconfiguring Personalised Information Flows","year":2022,"lang":"en","type":"book-chapter","venue":"Figure","topic":"Persona Design and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Simon Fraser University; Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam","keywords":"Persona; Personalization; Situated; Computer science; Disinformation; Misinformation; Human–computer interaction; Product (mathematics); World Wide Web; Sociology; Social media; Artificial intelligence; Computer security; Mathematics","score_opus":0.07609716322903873,"score_gpt":0.31524385201719424,"score_spread":0.2391466887881555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312677047","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018812336,0.0018821943,0.6672088,0.006641022,0.00061022805,0.00086002867,0.00019664812,0.0009319982,0.3028568],"genre_scores_gemma":[0.24360366,0.0025960137,0.64603794,0.0015115016,0.00011869655,0.002130933,0.0002813277,0.00093669357,0.10278326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98800325,0.009844352,0.00018593839,0.00067271397,0.0011087387,0.00018499176],"domain_scores_gemma":[0.9898117,0.0071504163,0.0002830795,0.0018095945,0.00069614185,0.00024895038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012000688,0.0006691317,0.0005135442,0.0022067775,0.002865966,0.00802087,0.0017989674,0.001635518,0.014388737],"category_scores_gemma":[0.010299528,0.00045296978,0.0005845928,0.0017895518,0.014572715,0.010736297,0.005026632,0.0023790854,0.0031195767],"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":[0.000025679019,0.00003804368,0.00037762153,0.00036355495,0.000009321325,0.00014019955,0.08922103,0.00047003062,0.0013834258,0.810481,0.009304509,0.088185675],"study_design_scores_gemma":[0.000029141185,0.00007671166,0.00050276244,0.0010416227,0.00001812704,0.0006096388,0.051256157,0.0027854599,0.003385116,0.24851084,0.69173604,0.00004844446],"about_ca_topic_score_codex":0.001120103,"about_ca_topic_score_gemma":0.0017374363,"teacher_disagreement_score":0.014388737,"about_ca_system_score_codex":0.002158313,"about_ca_system_score_gemma":0.0029903513,"threshold_uncertainty_score":0.06346649},"labels":[],"label_agreement":null}]}