{"meta":{"query_hash":"4872157bbeb8","filters":{"venue":"Journal of fintech and business analysis."},"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/4872157bbeb8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+fintech+and+business+analysis."},"results":[{"id":"W4414391867","doi":"10.54254/3049-5768/2025.26918","title":"Application of digital twin technology in smart warehousing and distribution network optimization","year":2025,"lang":"en","type":"article","venue":"Journal of fintech and business analysis.","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","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":"University of Calgary","funders":"","keywords":"Data warehouse; Routing (electronic design automation); Big data; Conceptual framework; Conceptual model; Data flow diagram; Technology roadmap","score_opus":0.0028862141322684096,"score_gpt":0.20099208130511712,"score_spread":0.1981058671728487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414391867","genre_codex":"methods","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":[0.016299771,0.00056237046,0.9752593,0.00049261923,0.000058336547,0.000051009676,0.0000629078,0.00013135179,0.007082364],"genre_scores_gemma":[0.6575984,0.0016840207,0.3363757,0.00016980713,0.00007684547,0.00014608682,0.00015512157,0.000089651876,0.0037044834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981864,0.0007387621,0.00011107359,0.00028934205,0.00055898656,0.00011547447],"domain_scores_gemma":[0.99756,0.0012825619,0.0002567658,0.00044700666,0.0003291921,0.00012443897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003069879,0.0008652177,0.0009473004,0.0016022834,0.0009054004,0.0033291627,0.0011588809,0.00084993255,0.0036858353],"category_scores_gemma":[0.007435313,0.00062442536,0.0008161418,0.0028090163,0.0026439868,0.007064347,0.0036368887,0.0016470145,0.00033498587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008133593,0.000053775046,0.0016612686,0.00019402978,0.000062082516,0.00010489076,0.00016781472,0.50353265,0.0016283112,0.41313007,0.00078275934,0.07860093],"study_design_scores_gemma":[0.000010412215,0.000048843554,0.00025906292,0.000036039477,0.000018424005,0.00004036018,0.00006977599,0.81776834,0.0016634214,0.17563002,0.0044378424,0.00001748782],"about_ca_topic_score_codex":0.004262319,"about_ca_topic_score_gemma":0.0031297123,"teacher_disagreement_score":0.004262319,"about_ca_system_score_codex":0.0025631227,"about_ca_system_score_gemma":0.0022565802,"threshold_uncertainty_score":0.018596828},"labels":[],"label_agreement":null}]}