{"meta":{"query_hash":"13c0ccd7b9f8","filters":{"venue":"Frontiers in Complex Systems"},"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/13c0ccd7b9f8","api":"https://metacan.xera.ac/api/v1/cohort?venue=Frontiers+in+Complex+Systems"},"results":[{"id":"W4388832379","doi":"10.3389/fcpxs.2023.1281714","title":"Topology and spectral interconnectivities of higher-order multilayer networks","year":2023,"lang":"en","type":"article","venue":"Frontiers in Complex Systems","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formalism (music); Pairwise comparison; Computer science; Interdependence; Complex system; Theoretical computer science; Interdependent networks; Topology (electrical circuits); Persistent homology; Complex network; Mathematics; Artificial intelligence; Combinatorics; Algorithm","score_opus":0.029225008047717434,"score_gpt":0.2618234814674809,"score_spread":0.23259847341976347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388832379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053395756,0.0020465134,0.93907964,0.00080355007,0.0030904869,0.00019425088,0.000017925928,0.00017772395,0.0011941601],"genre_scores_gemma":[0.99072444,0.00006718481,0.008100898,0.000051277246,0.00010809091,0.000014384244,0.000011626526,0.0000049668897,0.00091713405],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986873,0.00016014423,0.00033172587,0.0003543693,0.00014278264,0.0003236643],"domain_scores_gemma":[0.9992734,0.00018606246,0.000098885284,0.0003453734,0.000038448507,0.000057801808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035620504,0.00012422643,0.00045017997,0.0005584575,0.000049759627,0.000058576385,0.0005371089,0.000086297565,0.000022716784],"category_scores_gemma":[0.000042589858,0.00010251029,0.00005169063,0.0019112653,0.00016487134,0.00017688192,0.0003299727,0.00011577029,0.00000627633],"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":[0.00006215775,0.00023838601,0.39819655,0.00022208387,0.0004882899,0.00018846008,0.0019260348,0.036703896,0.00017565323,0.22590254,0.29044175,0.045454197],"study_design_scores_gemma":[0.0004608694,0.00012481627,0.10765658,0.000022254293,0.00001091141,0.000011670229,0.0007607219,0.8656838,0.00001202298,0.0044700596,0.020555003,0.00023128718],"about_ca_topic_score_codex":0.00055566523,"about_ca_topic_score_gemma":0.000029993662,"teacher_disagreement_score":0.9373287,"about_ca_system_score_codex":0.000029972824,"about_ca_system_score_gemma":0.000008960079,"threshold_uncertainty_score":0.41802484},"labels":[],"label_agreement":null},{"id":"W4406112800","doi":"10.3389/fcpxs.2024.1508091","title":"A priori physical information to aid generalization capabilities of neural networks for hydraulic modeling","year":2025,"lang":"en","type":"article","venue":"Frontiers in Complex Systems","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Artificial neural network; Computer science; Scarcity; A priori and a posteriori; Hydraulics; Regularization (linguistics); Artificial intelligence; Field (mathematics); Generalization; Machine learning; Flood myth; Hydraulic engineering; Engineering; Mathematics","score_opus":0.018645225547545746,"score_gpt":0.2630651720058557,"score_spread":0.24441994645830997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406112800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.117150806,0.00006265402,0.8799383,0.00010144345,0.0013523131,0.000747725,0.00001798198,0.000021122765,0.000607665],"genre_scores_gemma":[0.99738157,0.000001169578,0.0017294867,0.00007968942,0.00036818642,0.0001783999,0.000119350334,0.000007870823,0.00013425821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990799,0.000052350028,0.00041870106,0.00014726864,0.00010028775,0.00020152809],"domain_scores_gemma":[0.999572,0.00002254692,0.000097335,0.00016370122,0.0001030418,0.000041399388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001071197,0.00012419489,0.00030307937,0.00016186442,0.00006895947,0.0000482664,0.0001234197,0.00003683005,0.0000029268776],"category_scores_gemma":[0.000005327792,0.000123185,0.000087477776,0.00027819228,0.00002059775,0.00022023822,0.0000305586,0.00007812378,4.2983274e-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":[0.00004600036,0.000024176694,0.0032105937,0.00006831624,0.000021203317,1.29896796e-8,0.0004350412,0.9683859,0.000020874671,0.010675984,0.012204637,0.004907256],"study_design_scores_gemma":[0.00040803477,0.000025815016,0.00006355052,0.00004561649,0.0000109655275,1.05093406e-7,0.0008574682,0.99168164,0.000021704562,0.0013163117,0.005467113,0.000101661084],"about_ca_topic_score_codex":0.0003811088,"about_ca_topic_score_gemma":0.000002338048,"teacher_disagreement_score":0.8802308,"about_ca_system_score_codex":0.00005129092,"about_ca_system_score_gemma":0.000022973347,"threshold_uncertainty_score":0.5023338},"labels":[],"label_agreement":null}]}