{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"8fe4c6d91fe0","filters":{"venue":"International Journal of Knowledge Engineering and Soft Data Paradigms"}},"results":[{"id":"W2159185628","doi":"10.1504/ijkesdp.2009.021981","title":"Metastructural facets of granular computing","year":2008,"lang":"en","type":"article","venue":"International Journal of Knowledge Engineering and Soft Data Paradigms","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Granular computing; Computer science; Granular material; Theoretical computer science; Distributed computing; Artificial intelligence; Rough set; Engineering","authors":[{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03584934929128342,"gpt":0.2708974184568216,"spread":0.2350480691655382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001944287,0.0003438632,0.000904134,0.001259763,0.001110593,0.004381032,0.001081015,0.001169362,0.003086341],"category_scores_gemma":[0.007805557,0.0003993043,0.0008444215,0.001653374,0.00435032,0.007451257,0.002696383,0.002676405,0.0003190323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00127699,"about_ca_system_score_gemma":0.0007154011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166383,"about_ca_topic_score_gemma":0.00092151,"domain_scores_codex":[0.9985359,0.0004117941,0.000106627,0.0002968792,0.000507164,0.0001415688],"domain_scores_gemma":[0.9966016,0.001765312,0.0003345496,0.0008414099,0.0002576988,0.0001994105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001604707,0.000005594517,0.0001726537,0.00004725673,0.000008759658,0.00005990258,0.00009954542,0.006860537,0.0005925327,0.9863796,0.0003196741,0.005437847],"study_design_scores_gemma":[0.000004802252,0.0000110682,0.0001737743,0.00001677019,0.000006176649,0.00005553097,0.00004833221,0.03958441,0.0003278822,0.9571798,0.002581646,0.000009860019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03806218,0.002329254,0.9335821,0.003182827,0.0001895415,0.00007711566,0.0002198623,0.000270394,0.02208659],"genre_scores_gemma":[0.8110635,0.001832703,0.182115,0.0004371867,0.0004296376,0.0001805129,0.0002032195,0.0000790944,0.003659104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004381032,"threshold_uncertainty_score":0.01032478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}