{"meta":{"query_hash":"a9af651612a7","filters":{"venue":"Innovation in Science and Technology"},"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/a9af651612a7","api":"https://metacan.xera.ac/api/v1/cohort?venue=Innovation+in+Science+and+Technology"},"results":[{"id":"W4414182219","doi":"10.63593/ist.2788-7030.2025.08.006","title":"Digital Twin-Driven Intelligent Collaborative Automation Model for Global Warehouse Networks and Application Validation","year":2025,"lang":"en","type":"article","venue":"Innovation in Science and Technology","topic":"Digital Transformation in Industry","field":"Engineering","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":"Supply chain; Outsourcing; Automation; Multinational corporation; Context (archaeology); Scheduling (production processes); Data warehouse; Supply chain management","score_opus":0.011937531840485422,"score_gpt":0.27129345306369457,"score_spread":0.25935592122320916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414182219","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":[0.02863122,0.00015608138,0.9626688,0.00022198938,0.000046768047,0.0001154667,0.000076223536,0.0005171918,0.0075663887],"genre_scores_gemma":[0.86344427,0.00034143394,0.13109094,0.00008477996,0.00002745997,0.00020977101,0.00024652865,0.000058881436,0.0044959537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998594,0.0004066454,0.00009213771,0.00030333168,0.00047877154,0.00012512969],"domain_scores_gemma":[0.9986206,0.00037090585,0.00013028167,0.0002961923,0.0004968021,0.000085309235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016560805,0.0005507379,0.0004627445,0.00075540884,0.0006255869,0.00195901,0.0016351131,0.0008325442,0.0025535454],"category_scores_gemma":[0.0039582076,0.00026754302,0.0008201485,0.0008301265,0.00096492487,0.0028816853,0.0019565895,0.00095325965,0.00040138577],"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":[0.00013386425,0.000064936,0.0017560106,0.00008284091,0.00003046681,0.00021443242,0.0001901528,0.85504335,0.0030380825,0.086327486,0.0012602763,0.051858068],"study_design_scores_gemma":[0.0000040499904,0.00001926222,0.000098700606,0.0000040564687,0.0000054780694,0.000019933877,0.000016566823,0.99077857,0.00057319325,0.0071791774,0.0012964284,0.0000045410197],"about_ca_topic_score_codex":0.006384375,"about_ca_topic_score_gemma":0.0032825915,"teacher_disagreement_score":0.006384375,"about_ca_system_score_codex":0.0013956492,"about_ca_system_score_gemma":0.0016924436,"threshold_uncertainty_score":0.012694418},"labels":[],"label_agreement":null}]}