{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"5727710c7986","filters":{"venue":"International Journal of Pure and Apllied Mathematics"}},"results":[{"id":"W1976285441","doi":"10.12732/ijpam.v85i6.8","title":"ON THE CHEBYSHEV-HALLEY FAMILY OF ITERATION FUNCTIONS AND THE n-TH ROOT COMPUTATION PROBLEM","year":2013,"lang":"en","type":"article","venue":"International Journal of Pure and Apllied Mathematics","topic":"Iterative Methods for Nonlinear Equations","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chebyshev filter; Mathematics; Root (linguistics); Computation; Applied mathematics; Chebyshev iteration; Order (exchange); Newton's method; Root-finding algorithm; Chebyshev polynomials; Algebra over a field; Pure mathematics; Mathematical analysis; Algorithm; Nonlinear system; Finance; Physics","authors":[{"name":"François Dubeau","is_ca":true},{"name":"Calvin Gnang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05357266741620402,"gpt":0.3336509679266782,"spread":0.2800783005104742,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002576404,0.0008730961,0.0006652244,0.0009544961,0.001106094,0.001189883,0.0009549272,0.001411422,0.003222425],"category_scores_gemma":[0.005116199,0.0002743895,0.0007763666,0.0008445385,0.003661727,0.002572155,0.001332818,0.002824074,0.001122164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106879,"about_ca_system_score_gemma":0.001106546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897525,"about_ca_topic_score_gemma":0.001505147,"domain_scores_codex":[0.9992461,0.0003630958,0.00002985063,0.00007928529,0.000216616,0.00006511811],"domain_scores_gemma":[0.9985873,0.0008973564,0.0001040363,0.0001305828,0.0002091172,0.00007166445],"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":[0.00004059374,0.00001540756,0.0001787866,0.00005859519,0.000006586385,0.0001358883,0.000167976,0.02389572,0.001743394,0.9510105,0.001791565,0.02095486],"study_design_scores_gemma":[0.00001453216,0.00005547206,0.000275954,0.00007046312,0.000006215417,0.0001951038,0.0000643389,0.2120215,0.002445401,0.7742302,0.01058138,0.00003939302],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0250256,0.002332964,0.9290923,0.001322954,0.0003813397,0.00003674499,0.00004277173,0.0001355773,0.04162984],"genre_scores_gemma":[0.5282274,0.005768694,0.4243484,0.0007708981,0.0009470708,0.0002203487,0.00009032041,0.0005409122,0.03908593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003222425,"threshold_uncertainty_score":0.0136255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2339123690","doi":"10.12732/ijpam.v106i3.9","title":"STOCHASTIC STABILITY OF VECTOR SDE WITH APPLICATIONS TO A STOCHASTIC EPIDEMIC MODEL","year":2016,"lang":"en","type":"article","venue":"International Journal of Pure and Apllied Mathematics","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential stability; Stability (learning theory); Mathematics; Stochastic modelling; Stochastic differential equation; Applied mathematics; Lyapunov function; Epidemic model; Computer science; Statistics; Physics; Population","authors":[{"name":"Anatoliy Swishchuk","is_ca":true},{"name":"Mariya Svishchuk","is_ca":true},{"name":"Nikolaos Limnios","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1576232296824857,"gpt":0.3992746484232708,"spread":0.2416514187407851,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001262657,0.0007189405,0.0006914618,0.001034712,0.0004208192,0.001001643,0.0004793761,0.0008760631,0.001412349],"category_scores_gemma":[0.003700608,0.0001877686,0.000930384,0.0006862186,0.001110307,0.001024562,0.001647516,0.001008857,0.000125457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005417474,"about_ca_system_score_gemma":0.0006558691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403307,"about_ca_topic_score_gemma":0.000978585,"domain_scores_codex":[0.9994432,0.0002525247,0.00003831584,0.00009649812,0.0001257126,0.00004371797],"domain_scores_gemma":[0.9982848,0.0009892887,0.0002452275,0.00005841196,0.0003385966,0.00008362213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003811547,0.00004357443,0.001567159,0.0001611904,0.0001089383,0.0002807926,0.0002063201,0.4464262,0.004975577,0.5323598,0.0008830951,0.01294911],"study_design_scores_gemma":[0.000004012536,0.00002606409,0.0001635929,0.000009662263,0.000007690214,0.00003905384,0.00002469172,0.9262987,0.000245161,0.07245554,0.0007169952,0.000008923264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05402915,0.002242323,0.9346456,0.001118179,0.0001777638,0.00003019915,0.00008656679,0.00006912548,0.007600983],"genre_scores_gemma":[0.9599997,0.002159784,0.02949566,0.0001799929,0.0002926751,0.0001065113,0.0001059233,0.00003597506,0.00762386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002403307,"threshold_uncertainty_score":0.006677628,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}