{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"ed6b22f448de","filters":{"venue":"Algebraic Statistics"}},"results":[{"id":"W4416801235","doi":"10.2140/astat.2025.16.217","title":"Lawrence lifts, matroids, and maximum likelihood degrees","year":2025,"lang":"en","type":"article","venue":"Algebraic Statistics","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Maximum likelihood; Bayesian probability; Set (abstract data type); Term (time); Estimation theory","authors":[{"name":"Taylor Brysiewicz","is_ca":true},{"name":"Aida Maraj","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008432347407043001,"gpt":0.2443252116693277,"spread":0.2358928642622847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004490531,0.0006135579,0.001728136,0.003350845,0.002001784,0.004256995,0.001718928,0.001526748,0.007364414],"category_scores_gemma":[0.03843639,0.0008667178,0.00107218,0.003060004,0.005688574,0.008729314,0.004315319,0.004175854,0.001004996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258147,"about_ca_system_score_gemma":0.00130135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025454,"about_ca_topic_score_gemma":0.00279325,"domain_scores_codex":[0.9971566,0.001437147,0.0001280968,0.0004357814,0.0005950941,0.0002472195],"domain_scores_gemma":[0.9811565,0.01335771,0.001375716,0.002101555,0.001169658,0.0008389638],"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":[0.0000396231,0.0000154316,0.0006300448,0.00004130628,0.00001134176,0.00002409278,0.00009487845,0.008782194,0.0001092869,0.977408,0.001714836,0.01112898],"study_design_scores_gemma":[0.000007086509,0.000004871578,0.0001133003,0.00001196349,0.000003751694,0.00002158348,0.00001882801,0.01841616,0.00006567185,0.9804744,0.0008552243,0.000007126454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1053647,0.003231524,0.848439,0.009444196,0.0002566252,0.00005460033,0.0006201935,0.0005289822,0.0320601],"genre_scores_gemma":[0.8702398,0.002549036,0.1115423,0.000959939,0.001298284,0.000128252,0.0006368281,0.0001862953,0.01245915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007364414,"threshold_uncertainty_score":0.02463645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3114766139","doi":"10.2140/astat.2022.13.57","title":"Convolutions of totally positive distributions with applications to kernel density estimation","year":2022,"lang":"en","type":"preprint","venue":"Algebraic Statistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Kernel density estimation; Mathematics; Estimator; Gaussian; Kernel (algebra); Density estimation; Distribution (mathematics); Convolution (computer science); Parametric statistics; Applied mathematics; Set (abstract data type); Combinatorics; Mathematical analysis; Statistics; Computer science; Physics","authors":[{"name":"Ali Zartash","is_ca":false},{"name":"Elina Robeva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05171253655065258,"gpt":0.3609914678501851,"spread":0.3092789312995325,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009730548,0.001408016,0.001507084,0.001774333,0.0007428374,0.00255227,0.001694435,0.001438254,0.001451865],"category_scores_gemma":[0.04594801,0.001100928,0.001590818,0.001746323,0.004935969,0.00557847,0.004263665,0.00271882,0.0003354472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001442496,"about_ca_system_score_gemma":0.00098528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844203,"about_ca_topic_score_gemma":0.001031344,"domain_scores_codex":[0.995057,0.002339167,0.0003145297,0.0007874224,0.001248062,0.000253672],"domain_scores_gemma":[0.9704161,0.02140581,0.002460811,0.002222098,0.002702708,0.0007924067],"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":[0.0001548116,0.00005326738,0.003023196,0.0002514073,0.0001191851,0.0003904194,0.0004981156,0.1467493,0.004924046,0.7850773,0.000748213,0.05801068],"study_design_scores_gemma":[0.000008980863,0.00005308717,0.0006629903,0.00003459116,0.00002160633,0.0002369734,0.00004181597,0.7260185,0.001875685,0.2699272,0.00107821,0.00004034055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01213994,0.000226189,0.9867181,0.0001696562,0.00002089068,0.0000152166,0.00002477316,0.00009360054,0.0005915685],"genre_scores_gemma":[0.613982,0.001580026,0.3779801,0.0003638227,0.0003716277,0.0001880143,0.000265215,0.0003481401,0.004921068],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009730548,"threshold_uncertainty_score":0.05146068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404975185","doi":"10.2140/astat.2024.15.167","title":"Homaloidal polynomials and Gaussian models of maximum likelihood degree 1","year":2024,"lang":"en","type":"article","venue":"Algebraic Statistics","topic":"Polynomial and algebraic computation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Degree (music); Mathematics; Maximum likelihood; Gaussian; Statistics; Applied mathematics; Physics","authors":[{"name":"Shelby Cox","is_ca":false},{"name":"Pratik Misra","is_ca":false},{"name":"Pardis Semnani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02153504046793611,"gpt":0.2457748315041732,"spread":0.2242397910362371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005614041,0.0008550346,0.001629882,0.002209713,0.001824622,0.002888242,0.002311142,0.001802722,0.004429053],"category_scores_gemma":[0.04505462,0.0008785232,0.001174535,0.00185079,0.00622062,0.006214012,0.003939514,0.003715067,0.0007063134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002559567,"about_ca_system_score_gemma":0.002050491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004896357,"about_ca_topic_score_gemma":0.004025281,"domain_scores_codex":[0.9969485,0.00169833,0.00008350861,0.0004290147,0.0004514549,0.0003891115],"domain_scores_gemma":[0.9716134,0.02196978,0.002272228,0.00200948,0.001262372,0.0008727486],"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":[0.00002466111,0.00001321959,0.000479921,0.00002195589,0.00001145438,0.00003701943,0.0001124342,0.02365369,0.0001272876,0.9713761,0.000518298,0.003624035],"study_design_scores_gemma":[0.0000046785,0.000005553674,0.0001158031,0.000006591617,0.000002820476,0.00001990492,0.00001799054,0.07909089,0.0000625106,0.9203269,0.0003352546,0.00001111644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09815276,0.0008442398,0.8882336,0.002836002,0.0001201402,0.00004595319,0.0003293604,0.0002891044,0.009148791],"genre_scores_gemma":[0.9264822,0.0008856092,0.06374058,0.000493379,0.0005188058,0.00007592422,0.0002768421,0.0001463706,0.007380412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005614041,"threshold_uncertainty_score":0.02969027,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}