{"meta":{"query_hash":"803e353c4712","filters":{"venue":"International Journal of Computing Algorithm"},"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/803e353c4712","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Computing+Algorithm"},"results":[{"id":"W7160045919","doi":"10.20894/ijcoa.101.014.001.001","title":"A Multiview Point Perspective on Clustering Algorithms for Similarity Evaluation","year":2025,"lang":"","type":"article","venue":"International Journal of Computing Algorithm","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cluster analysis; Viewpoints; Similarity (geometry); Correlation clustering; Fuzzy clustering; Set (abstract data type); Perspective (graphical); Pattern recognition (psychology); Single-linkage clustering","score_opus":0.056779147601151984,"score_gpt":0.43804825507439044,"score_spread":0.38126910747323844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160045919","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":[0.0007005039,0.00096116133,0.9971739,0.000104943945,0.000063442334,0.000027434571,0.000027369526,0.00010407603,0.00083720125],"genre_scores_gemma":[0.062176187,0.0025618135,0.93251663,0.00015841081,0.00043314233,0.00017758469,0.00020254096,0.00015701281,0.0016167699],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956312,0.0015568995,0.00027921432,0.00087467046,0.0015012254,0.00015685118],"domain_scores_gemma":[0.9963283,0.0016850446,0.00025098905,0.00047248328,0.001148956,0.00011423328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003915123,0.0015447484,0.0019649942,0.0048633125,0.00087231066,0.0035348886,0.003207768,0.0021297776,0.0029470131],"category_scores_gemma":[0.009668654,0.0007227575,0.0021635867,0.00695669,0.0019318884,0.0040966556,0.0022424166,0.003214719,0.0016185559],"study_design_candidate":"simulation_or_modeling","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":[0.00019312774,0.000090963804,0.0016297111,0.0007372521,0.0003009588,0.00018811191,0.00062520924,0.26333085,0.009859544,0.27495784,0.007079214,0.44100726],"study_design_scores_gemma":[0.000023255923,0.00020687316,0.00080072536,0.00017068737,0.000068270296,0.0003825548,0.00021765014,0.82324266,0.005464734,0.14820589,0.021123078,0.00009357134],"about_ca_topic_score_codex":0.004363552,"about_ca_topic_score_gemma":0.0020906853,"teacher_disagreement_score":0.0048633125,"about_ca_system_score_codex":0.0020241896,"about_ca_system_score_gemma":0.0009159414,"threshold_uncertainty_score":0.020705342},"labels":[],"label_agreement":null},{"id":"W7160145418","doi":"10.20894/ijcoa.101.014.001.21985","title":"A Multiview Point Perspective on Clustering Algorithms for Similarity Evaluation","year":2025,"lang":"","type":"article","venue":"International Journal of Computing Algorithm","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cluster analysis; Viewpoints; Similarity (geometry); Correlation clustering; Fuzzy clustering; Set (abstract data type); Perspective (graphical); Pattern recognition (psychology); Single-linkage clustering","score_opus":0.056779147601151984,"score_gpt":0.43804825507439044,"score_spread":0.38126910747323844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160145418","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":[0.0007005039,0.00096116133,0.9971739,0.000104943945,0.000063442334,0.000027434571,0.000027369526,0.00010407603,0.00083720125],"genre_scores_gemma":[0.062176187,0.0025618135,0.93251663,0.00015841081,0.00043314233,0.00017758469,0.00020254096,0.00015701281,0.0016167699],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956312,0.0015568995,0.00027921432,0.00087467046,0.0015012254,0.00015685118],"domain_scores_gemma":[0.9963283,0.0016850446,0.00025098905,0.00047248328,0.001148956,0.00011423328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003915123,0.0015447484,0.0019649942,0.0048633125,0.00087231066,0.0035348886,0.003207768,0.0021297776,0.0029470131],"category_scores_gemma":[0.009668654,0.0007227575,0.0021635867,0.00695669,0.0019318884,0.0040966556,0.0022424166,0.003214719,0.0016185559],"study_design_candidate":"simulation_or_modeling","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":[0.00019312774,0.000090963804,0.0016297111,0.0007372521,0.0003009588,0.00018811191,0.00062520924,0.26333085,0.009859544,0.27495784,0.007079214,0.44100726],"study_design_scores_gemma":[0.000023255923,0.00020687316,0.00080072536,0.00017068737,0.000068270296,0.0003825548,0.00021765014,0.82324266,0.005464734,0.14820589,0.021123078,0.00009357134],"about_ca_topic_score_codex":0.004363552,"about_ca_topic_score_gemma":0.0020906853,"teacher_disagreement_score":0.0048633125,"about_ca_system_score_codex":0.0020241896,"about_ca_system_score_gemma":0.0009159414,"threshold_uncertainty_score":0.020705342},"labels":[],"label_agreement":null}]}