{"meta":{"query_hash":"a2f40d4ef3c7","filters":{"venue":"EthAIca"},"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/a2f40d4ef3c7","api":"https://metacan.xera.ac/api/v1/cohort?venue=EthAIca"},"results":[{"id":"W4411522787","doi":"10.56294/ai2025156","title":"Rural socioeconomic transformations mediated by AI","year":2025,"lang":"en","type":"article","venue":"EthAIca","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scopus; Socioeconomic status; Thematic map; Productivity; Digital divide; Rural area; Agricultural productivity; Relevance (law); Inclusion (mineral); Quarter (Canadian coin); Regional science; Economic growth; Geography; Agriculture; Data science; Political science; Computer science; Sociology; Social science; World Wide Web; Economics; The Internet; Cartography; MEDLINE; Demography","score_opus":0.017022954038414757,"score_gpt":0.2635778893632731,"score_spread":0.24655493532485834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411522787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46265242,0.007091847,0.040871598,0.21214965,0.0024489944,0.000988782,0.002089267,0.0005398708,0.27116758],"genre_scores_gemma":[0.98408216,0.00023917809,0.000058112906,0.0105219465,0.000035857676,0.000028243632,0.00009227443,0.000013472856,0.0049287733],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989994,0.00000954534,0.0004933578,0.00019236536,0.000018661316,0.00028664246],"domain_scores_gemma":[0.99938756,0.00017300466,0.00010971489,0.0002422679,0.000010749617,0.000076707605],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031929338,0.00012286931,0.00027286637,0.0002124683,0.00011354894,0.000055744833,0.00022454101,0.0001452883,0.0013778864],"category_scores_gemma":[0.00012994569,0.0001515066,0.00010539082,0.0001713382,0.00005996173,0.00029119005,0.000026320951,0.00023181525,0.002731546],"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":[0.00003197997,0.00014127654,0.055759262,0.000096259864,0.00023202856,0.0000012170337,0.003348666,0.00013369326,0.00046646653,0.36632434,0.5706265,0.0028383294],"study_design_scores_gemma":[0.0013267098,0.000027210372,0.012436919,0.000017975339,0.000010319351,9.17051e-7,0.00011887967,0.0032486317,0.00034367185,0.10431425,0.87782806,0.0003264399],"about_ca_topic_score_codex":0.000254419,"about_ca_topic_score_gemma":0.000025373727,"teacher_disagreement_score":0.5214297,"about_ca_system_score_codex":0.00025229205,"about_ca_system_score_gemma":0.000070803435,"threshold_uncertainty_score":0.99953496},"labels":[],"label_agreement":null},{"id":"W4415977749","doi":"10.56294/ai2025436","title":"Artificial Intelligence and Risk Management in Financial Institutions: Evidence from the UK Banking Sector","year":2025,"lang":"en","type":"article","venue":"EthAIca","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Risk management; Transparency (behavior); Likert scale; Transformative learning; Financial management; Risk assessment; Financial services; Scale (ratio); Compliance (psychology); Process (computing)","score_opus":0.061865421569993966,"score_gpt":0.2804391891844976,"score_spread":0.21857376761450364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415977749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94142026,0.0017646578,0.02656962,0.0024949184,0.0010987411,0.0006456534,0.000011938385,0.00012576955,0.025868444],"genre_scores_gemma":[0.99743,0.00032703663,0.00068755745,0.0009718249,0.00032021105,0.000054939952,0.000005337083,0.000008552238,0.00019452535],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988181,0.000012896168,0.00033764177,0.00039569123,0.00017662342,0.00025905741],"domain_scores_gemma":[0.99927056,0.00026391455,0.00013528876,0.0002791648,0.000044869445,0.000006208482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000464096,0.0001650824,0.000155206,0.00020489383,0.00028515293,0.00042913976,0.00040217294,0.00007089916,0.000101783946],"category_scores_gemma":[0.0009826665,0.00013833135,0.000045907876,0.0010008143,0.00017564367,0.0007784011,0.00048614925,0.00030028287,0.00012457231],"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":[0.0000862682,0.00005854128,0.1641555,0.00009631952,0.000027748258,0.00003286668,0.00017969914,0.00022625644,0.000059174457,0.62614846,0.0021155972,0.20681354],"study_design_scores_gemma":[0.0001412737,0.0000103904795,0.44124457,0.0018433731,0.00009054164,6.0045926e-7,0.0003494849,0.0026136592,0.0005409999,0.5092047,0.04354635,0.00041407437],"about_ca_topic_score_codex":0.0028586297,"about_ca_topic_score_gemma":0.0036699153,"teacher_disagreement_score":0.2770891,"about_ca_system_score_codex":0.00006370213,"about_ca_system_score_gemma":0.000035219044,"threshold_uncertainty_score":0.56409883},"labels":[],"label_agreement":null}]}