{"meta":{"query_hash":"0d8fd2559d58","filters":{"venue":"Computing in Geometry and Topology"},"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/0d8fd2559d58","api":"https://metacan.xera.ac/api/v1/cohort?venue=Computing+in+Geometry+and+Topology"},"results":[{"id":"W6917338802","doi":"10.57717/cgt.v3i1.24","title":"StreamTable: An Area Proportional Visualization for Tables with Flowing Streams","year":2022,"lang":"en","type":"article","venue":"Computing in Geometry and Topology","topic":"Computational Geometry and Mesh Generation","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":"University of Saskatchewan","funders":"","keywords":"Row; Permutation (music); Rectangle; Row and column spaces; Adjacency list; Quadratic equation; Intersection (aeronautics); Visualization","score_opus":0.017738838599784548,"score_gpt":0.2760043336792384,"score_spread":0.25826549507945384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6917338802","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":[0.51606476,0.000102500824,0.4832203,0.000134326,0.00022313728,0.00015024055,0.0000065940358,0.000044544988,0.000053613487],"genre_scores_gemma":[0.96942806,0.0000029312137,0.029954437,0.00018149031,0.00011397833,0.000036955662,0.00021178165,0.000007849234,0.00006253516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987783,0.000105876396,0.00024411357,0.0004482339,0.00016571574,0.0002577559],"domain_scores_gemma":[0.9993985,0.00021945676,0.00007856992,0.00016208125,0.00008338186,0.000057984562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053412135,0.000118780044,0.00016644393,0.00032287187,0.0005377426,0.00007619478,0.00023713922,0.000038989157,0.000032072174],"category_scores_gemma":[0.000048934704,0.00012149768,0.000020477115,0.00096127193,0.00004206027,0.0003000428,0.00021586577,0.0001169035,2.9669164e-7],"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":[0.00006714576,0.00038211158,0.033456683,0.00004986536,0.000028459232,0.000021858776,0.00080292614,0.63649136,0.00028441867,0.2255036,0.00012246447,0.10278912],"study_design_scores_gemma":[0.00071686145,0.0007131593,0.008201345,0.000010844147,0.000006252323,0.00015053798,0.00024566162,0.98242414,0.00026489818,0.0057408414,0.0013308881,0.00019455937],"about_ca_topic_score_codex":0.00003323844,"about_ca_topic_score_gemma":0.000022042557,"teacher_disagreement_score":0.4533633,"about_ca_system_score_codex":0.000054031007,"about_ca_system_score_gemma":0.000106307525,"threshold_uncertainty_score":0.49545315},"labels":[],"label_agreement":null},{"id":"W7131069251","doi":"10.57717/cgt.v5i2.72","title":"Finding maximum matchings in RDV graphs efficiently","year":2024,"lang":"en","type":"article","venue":"Computing in Geometry and Topology","topic":"Graph Theory and Algorithms","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":"University of Waterloo","funders":"","keywords":"Matching (statistics); Graph; Set (abstract data type); Representation (politics); Range (aeronautics); Independent set","score_opus":0.010241587883671792,"score_gpt":0.2600547494874061,"score_spread":0.2498131616037343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131069251","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":[0.89108914,0.0015036167,0.10464993,0.00044527234,0.0012731424,0.00006103796,7.081902e-7,0.0001244901,0.0008526646],"genre_scores_gemma":[0.9946588,0.000020434958,0.0050323186,0.00019693842,0.000039696068,0.0000017629337,0.0000011059946,0.000006437149,0.00004248552],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986738,0.00011574527,0.00025060202,0.0004746148,0.00008510467,0.00040013276],"domain_scores_gemma":[0.9992432,0.00047506893,0.00003089386,0.00019082827,0.000008852744,0.00005114619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009258606,0.00012980787,0.00018965309,0.00081760867,0.00010246265,0.00013443564,0.00040173202,0.00009899608,0.000016498398],"category_scores_gemma":[0.00004595661,0.00012834964,0.000044926495,0.001713209,0.0001197307,0.00016028155,0.00035503783,0.0003697769,0.000016624232],"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":[0.0000055893106,0.00007426681,0.023062449,0.00010820526,0.000013675081,0.0005165808,0.003385915,0.0014605054,0.00012032903,0.8099702,0.000047681195,0.16123462],"study_design_scores_gemma":[0.00052676286,0.00015282043,0.047411088,0.00029464884,0.000004555154,0.00035478358,0.00028486084,0.43746877,0.00030568495,0.51207006,0.000720766,0.00040520896],"about_ca_topic_score_codex":0.00003676055,"about_ca_topic_score_gemma":0.000004941967,"teacher_disagreement_score":0.43600824,"about_ca_system_score_codex":0.00001848597,"about_ca_system_score_gemma":0.000019540308,"threshold_uncertainty_score":0.52339464},"labels":[],"label_agreement":null}]}