{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"f24255405d84","filters":{"venue":"Acta Numerica"}},"results":[{"id":"W2122180808","doi":"10.1017/s0962492906400015","title":"Adaptivity with moving grids","year":2009,"lang":"en","type":"article","venue":"Acta Numerica","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Polygon mesh; Computer science; Partial differential equation; Interpolation (computer graphics); Finite element method; Discretization; Grid; Mathematical optimization; Truncation error; Multigrid method; Focus (optics); Adaptive mesh refinement; Applied mathematics; Algorithm; Mathematics; Motion (physics); Computational science; Artificial intelligence","authors":[{"name":"Chris Budd","is_ca":false},{"name":"Weizhang Huang","is_ca":false},{"name":"Robert D. Russell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01182900107634662,"gpt":0.2499584737284054,"spread":0.2381294726520587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351195,0.0008960394,0.0007407755,0.0007981863,0.0006148873,0.001803187,0.001454716,0.001370838,0.006424671],"category_scores_gemma":[0.005546318,0.0005326411,0.001381745,0.0005099876,0.002450586,0.002481978,0.003312201,0.002130136,0.001571694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007295492,"about_ca_system_score_gemma":0.0005518484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927213,"about_ca_topic_score_gemma":0.000946815,"domain_scores_codex":[0.9988856,0.0003460122,0.00005951401,0.0002631045,0.0003697757,0.00007602308],"domain_scores_gemma":[0.9986535,0.0006104333,0.0001139963,0.0003643028,0.0001985737,0.00005905742],"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":[0.00003598791,0.00001825743,0.0005100708,0.0001832823,0.00004564029,0.0001671254,0.0002660925,0.1156922,0.003617543,0.824486,0.004500857,0.05047705],"study_design_scores_gemma":[0.0000306368,0.00007038716,0.0003075064,0.00009996203,0.00002462088,0.0002408918,0.00008580151,0.5265902,0.001560214,0.4250778,0.04587502,0.00003692062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006218023,0.002095126,0.957287,0.0009510013,0.0004856756,0.00007151949,0.00006608885,0.0003061308,0.03251949],"genre_scores_gemma":[0.4491126,0.007134871,0.4798832,0.002002208,0.001422074,0.0006207014,0.0003796997,0.0007778014,0.0586669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006424671,"threshold_uncertainty_score":0.02149266,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150116987","doi":"10.1017/s0962492904000248","title":"Numerical methods for large-scale nonlinear optimization","year":2005,"lang":"en","type":"article","venue":"Acta Numerica","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Differentiable function; Mathematical optimization; Nonlinear system; Constrained optimization; Nonlinear programming; Optimization problem; Software; Scale (ratio); Algorithm; Mathematics; Physics","authors":[{"name":"Dominique Orban","is_ca":true},{"name":"Philippe L. Toint","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04505452329796039,"gpt":0.4372005856818338,"spread":0.3921460623838734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00182394,0.001361521,0.00166193,0.001195777,0.0008500378,0.001595472,0.001710343,0.002009413,0.008678374],"category_scores_gemma":[0.006886676,0.0005063733,0.001038713,0.001948414,0.00157709,0.00163656,0.002362943,0.003984915,0.004705546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008933882,"about_ca_system_score_gemma":0.001783497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00190942,"about_ca_topic_score_gemma":0.001931837,"domain_scores_codex":[0.9985291,0.0005649353,0.0000915347,0.0001002343,0.0006662391,0.00004801175],"domain_scores_gemma":[0.9977043,0.00130914,0.0001882766,0.000246555,0.0004623145,0.00008939073],"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":[0.00003877268,0.00004781372,0.00031139,0.001380375,0.0001201381,0.0001319698,0.000120664,0.3070225,0.003627918,0.5034757,0.02631854,0.1574042],"study_design_scores_gemma":[0.00003731854,0.00002284084,0.0001653634,0.0002194253,0.00002537812,0.0001264019,0.00002464705,0.6448018,0.0009098006,0.2657416,0.08789113,0.00003423158],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000431065,0.01132002,0.976799,0.0006746503,0.0006460461,0.00005795874,0.00008826207,0.000380147,0.009602835],"genre_scores_gemma":[0.05652672,0.0258397,0.8909951,0.0006398007,0.001623894,0.001209881,0.0005222703,0.0008741012,0.0217684],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008678374,"threshold_uncertainty_score":0.02903205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109089832","doi":"10.1017/s0962492920000045","title":"Fast algorithms using orthogonal polynomials","year":2020,"lang":"en","type":"article","venue":"Acta Numerica","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Orthogonal polynomials; Mathematics; Quadrature (astronomy); Clenshaw–Curtis quadrature; Gauss–Kronrod quadrature formula; Orthogonality; Gauss–Jacobi quadrature; Classical orthogonal polynomials; Algorithm; Applied mathematics; Discrete orthogonal polynomials; Algebra over a field; Gaussian quadrature; Nyström method; Integral equation; Mathematical analysis; Pure mathematics; Geometry","authors":[{"name":"Sheehan Olver","is_ca":false},{"name":"Richard Mikaël Slevinsky","is_ca":true},{"name":"Alex Townsend","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01993619489680778,"gpt":0.2516698214585001,"spread":0.2317336265616923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001347145,0.001326047,0.001277938,0.001509256,0.0007087101,0.002222891,0.001505329,0.001246239,0.007968657],"category_scores_gemma":[0.006762913,0.0006262509,0.00109963,0.002357324,0.001064167,0.003442091,0.002324395,0.002618874,0.005275328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008963281,"about_ca_system_score_gemma":0.00115317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279274,"about_ca_topic_score_gemma":0.001517419,"domain_scores_codex":[0.9985431,0.0003587664,0.00009753112,0.0001770214,0.0007094252,0.0001141793],"domain_scores_gemma":[0.9983352,0.0007956719,0.0001048594,0.0002515915,0.0004542779,0.00005847121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008559669,0.00007105262,0.0005325614,0.0007588988,0.0001034896,0.00009175708,0.000134988,0.1198188,0.003455821,0.3678286,0.02152719,0.4855911],"study_design_scores_gemma":[0.00005878711,0.00006424206,0.0001994776,0.0002465275,0.00003217964,0.0002343901,0.0000449273,0.5334222,0.003200067,0.3680955,0.09435036,0.00005119578],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00128876,0.007326188,0.9833877,0.0004722349,0.0004637961,0.00004117027,0.00008384497,0.0008869744,0.006049404],"genre_scores_gemma":[0.06251571,0.0251017,0.8983826,0.0006160949,0.001374084,0.0003247733,0.0008213729,0.001110789,0.009752892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007968657,"threshold_uncertainty_score":0.02665782,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2274863082","doi":"10.1017/s0962492904000170","title":"The numerical analysis of functional integral and integro-differential equations of Volterra type","year":2004,"lang":"en","type":"article","venue":"Acta Numerica","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Volterra integral equation; Integral equation; Differential equation; Applied mathematics; Type (biology); Volterra equations; Computer science; Mathematics; Mathematical analysis; Physics; Nonlinear system; Quantum mechanics","authors":[{"name":"Hermann Brunner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05792898353070726,"gpt":0.3181118880342399,"spread":0.2601829045035327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485087,0.0006223773,0.000936269,0.0007580161,0.0004316037,0.001811756,0.0008778087,0.00164573,0.001633686],"category_scores_gemma":[0.004255633,0.0002913839,0.0009259401,0.0007592982,0.001862965,0.002137469,0.001063113,0.001646079,0.0004636843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000872787,"about_ca_system_score_gemma":0.0006951546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412307,"about_ca_topic_score_gemma":0.0005023135,"domain_scores_codex":[0.9993134,0.0002108651,0.00005676554,0.00007842112,0.0003029154,0.00003758634],"domain_scores_gemma":[0.9989402,0.000697614,0.00008994401,0.0000997008,0.0001484143,0.00002425314],"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":[0.00002158073,0.00003247955,0.0005385735,0.0005945925,0.00005800285,0.00008536908,0.0002209252,0.2093201,0.007825497,0.7361874,0.001142844,0.04397267],"study_design_scores_gemma":[0.000009183936,0.0000247742,0.00030837,0.00008695578,0.00001383007,0.0001000565,0.00005058811,0.6915578,0.002007321,0.2952777,0.01053738,0.00002599894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009882174,0.008249274,0.9691662,0.0008597532,0.0002937102,0.00003359399,0.00006320222,0.00009931014,0.01135287],"genre_scores_gemma":[0.4351046,0.02506234,0.5185407,0.000575881,0.0007792665,0.0002750678,0.0002842333,0.0002000045,0.01917787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001811756,"threshold_uncertainty_score":0.007853925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4376148934","doi":"10.1017/s0962492922000113","title":"Linear optimization over homogeneous matrix cones","year":2023,"lang":"en","type":"article","venue":"Acta Numerica","topic":"Advanced Optimization Algorithms Research","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Simons Institute for the Theory of Computing, University of California Berkeley; National Science Foundation","keywords":"Mathematics; Dual cone and polar cone; Conic optimization; Cone (formal languages); Convex cone; Second-order cone programming; Matrix (chemical analysis); Cholesky decomposition; Homogeneous function; Combinatorics; Convex optimization; Regular polygon; Homogeneous; Geometry; Algorithm; Convex analysis; Physics","authors":[{"name":"Levent Tunçel","is_ca":true},{"name":"Lieven Vandenberghe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04798404328696928,"gpt":0.3949699077849262,"spread":0.3469858644979569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008946898,0.0008623662,0.0006100182,0.0006439802,0.0003965355,0.001537302,0.0004338091,0.0003996032,0.004017259],"category_scores_gemma":[0.002210052,0.0002789757,0.0006743566,0.0006630635,0.001154998,0.001442968,0.0009161574,0.001188629,0.0005663758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009433284,"about_ca_system_score_gemma":0.0007244429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919698,"about_ca_topic_score_gemma":0.001504809,"domain_scores_codex":[0.9993739,0.0002036371,0.00003519317,0.0001172508,0.0001868456,0.00008338334],"domain_scores_gemma":[0.9991276,0.0003810173,0.0001268727,0.00008701855,0.0001885624,0.00008907533],"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":[0.00005196586,0.00003450878,0.0006642065,0.0001098475,0.00002581307,0.0001600979,0.0000974178,0.09830877,0.002703451,0.8797551,0.00205409,0.01603472],"study_design_scores_gemma":[0.00001637987,0.00006127043,0.000406198,0.00003045466,0.000008606793,0.00006718884,0.00008275024,0.4621448,0.001540141,0.5312345,0.00439337,0.0000143551],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08564483,0.001061223,0.8711672,0.000506212,0.00008935688,0.00008965872,0.0005695521,0.0002193437,0.04065265],"genre_scores_gemma":[0.8508096,0.001980845,0.125083,0.0002658106,0.0002841546,0.0002162114,0.001064086,0.0002389319,0.02005733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004017259,"threshold_uncertainty_score":0.01343906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}