{"id":"W4312462894","doi":"10.4213/tm4272","title":"Обобщенные виртуальные многогранники и квазиторические многообразия","year":2022,"lang":"ru","type":"article","venue":"Труды Математического института им Стеклова","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.004167316,0.002257593,0.002831514,0.003153405,0.00492891,0.001990752,0.01182024,0.0007580352,0.05016432],"category_scores_gemma":[0.001049486,0.002267213,0.002076716,0.01617043,0.001109876,0.002216724,0.01368771,0.00426658,0.00814647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335322,"about_ca_system_score_gemma":0.001256197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001818645,"about_ca_topic_score_gemma":0.0002089905,"domain_scores_codex":[0.9795988,0.002335095,0.003167867,0.005164408,0.005274464,0.004459425],"domain_scores_gemma":[0.9879466,0.001394744,0.001691124,0.006352591,0.000635245,0.001979743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006595666,0.00729499,0.01029386,0.0003754151,0.002905655,0.004820405,0.004556462,0.009463241,0.001662869,0.1283363,0.4218082,0.4078231],"study_design_scores_gemma":[0.003508515,0.002608956,0.01163081,0.00009703114,0.0009113094,0.0007700004,0.002231989,0.03103358,0.0006662197,0.01408423,0.9282172,0.004240169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2169752,0.09140901,0.1971571,0.108106,0.05590453,0.009886582,0.0134925,0.009540296,0.2975289],"genre_scores_gemma":[0.9253064,0.001364488,0.006162776,0.009914595,0.002097711,0.0005749945,0.0008631073,0.0002736528,0.0534423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7083312,"threshold_uncertainty_score":0.9990453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231469945763954,"score_gpt":0.2378010940960942,"score_spread":0.2154863946384547,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}