{"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":"bef65636eab4","filters":{"venue":"Institute of Mathematical Statistics eBooks"}},"results":[{"id":"W1541443231","doi":"10.1214/074921708000000039","title":"Sequential tests and estimates after overrunning based on p -value combination","year":2008,"lang":"en","type":"book-chapter","venue":"Institute of Mathematical Statistics eBooks","topic":"Advanced Statistical Process Monitoring","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Value (mathematics); Statistics; Computer science; Mathematics","authors":[{"name":"William J. Hall","is_ca":false},{"name":"Keyue Ding","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1002552731620892,"gpt":0.375936506249163,"spread":0.2756812330870738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0366079,0.00184027,0.002843013,0.003474646,0.0005412641,0.002920652,0.00294166,0.002093074,0.008806075],"category_scores_gemma":[0.1346655,0.001169331,0.002285732,0.004493898,0.002640919,0.004223855,0.002350111,0.00445118,0.003155996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009865551,"about_ca_system_score_gemma":0.001318124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003863485,"about_ca_topic_score_gemma":0.0004879541,"domain_scores_codex":[0.9612966,0.02520923,0.001696422,0.003692848,0.007733672,0.0003711428],"domain_scores_gemma":[0.8909513,0.09477126,0.003000638,0.007124246,0.003811863,0.0003407157],"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":[0.0005101147,0.00007794025,0.002603214,0.001022723,0.0005823349,0.0004722341,0.0005342356,0.02914875,0.002099821,0.2300555,0.01236517,0.7205279],"study_design_scores_gemma":[0.000168323,0.0006275807,0.003153579,0.0005402489,0.0003582582,0.001146042,0.0001494035,0.244528,0.01018386,0.6993166,0.03963703,0.0001911576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001877221,0.0008946073,0.9934999,0.000227348,0.0001547035,0.00008541288,0.0001098111,0.0004081868,0.002742905],"genre_scores_gemma":[0.05984391,0.001140162,0.9318089,0.000304307,0.0004544447,0.0006480701,0.0004188459,0.0005969274,0.004784338],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0366079,"threshold_uncertainty_score":0.1936035,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1610257179","doi":"10.1214/074921706000000130","title":"Attractiveness of the Haar measure for linear cellular automata on Markov subgroups","year":2006,"lang":"en","type":"book-chapter","venue":"Institute of Mathematical Statistics eBooks","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Markov chain; Measure (data warehouse); Haar measure; Discrete mathematics; Cellular automaton; Markov model; Markov property; Combinatorics; Markov kernel; Variable-order Markov model; Computer science; Statistics; Algorithm; Data mining","authors":[{"name":"Alejandro Maass","is_ca":false},{"name":"Servet Martı́nez","is_ca":false},{"name":"Marcus Pivato","is_ca":true},{"name":"Reem Yassawi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03103642519687769,"gpt":0.2504979608043033,"spread":0.2194615356074256,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009881553,0.0003093996,0.0005716115,0.00131994,0.001198382,0.003474316,0.0006835822,0.000924331,0.008414279],"category_scores_gemma":[0.005029404,0.0002860212,0.0007741259,0.0006319221,0.002032732,0.002675644,0.00138089,0.001643601,0.0009466778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001547726,"about_ca_system_score_gemma":0.0006569301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007595891,"about_ca_topic_score_gemma":0.0005156103,"domain_scores_codex":[0.9993623,0.0001578166,0.00003096972,0.00009805412,0.0002594243,0.00009140852],"domain_scores_gemma":[0.997961,0.001078562,0.000178491,0.0001954699,0.0002921004,0.0002944364],"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":[0.000007731954,0.000004084428,0.0000970483,0.00001077355,0.00000219082,0.00002112554,0.00006644434,0.001051349,0.0005429855,0.9961588,0.0003205679,0.001717057],"study_design_scores_gemma":[0.000008503193,0.00002657949,0.0003438658,0.00001004193,0.000006463253,0.0001311509,0.0000689922,0.02866968,0.0008869828,0.9664248,0.003407343,0.00001565984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4194243,0.002064801,0.2710422,0.002800207,0.0005452919,0.0001206457,0.0002377667,0.0003411754,0.3034236],"genre_scores_gemma":[0.9562347,0.000875062,0.01182981,0.0002210382,0.0003275427,0.0001057619,0.00009932234,0.0000950637,0.03021173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008414279,"threshold_uncertainty_score":0.02814853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1639650165","doi":"10.1214/074921708000000084","title":"Fuzzy sets in nonparametric Bayes regression","year":2008,"lang":"en","type":"book-chapter","venue":"Institute of Mathematical Statistics eBooks","topic":"Fuzzy Systems and Optimization","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Nonparametric regression; Mathematics; Bayesian linear regression; Bayesian probability; Wavelet; Bayes' theorem; Artificial intelligence; Pattern recognition (psychology); Statistics; Nonparametric statistics; Econometrics; Computer science; Bayesian inference","authors":[{"name":"Jean‐François Angers","is_ca":true},{"name":"Mohan Delampady","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05777777689236437,"gpt":0.301299625372514,"spread":0.2435218484801497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005169987,0.0008098998,0.00102013,0.0016663,0.0007213438,0.002197264,0.001179499,0.001873519,0.004572876],"category_scores_gemma":[0.009578864,0.0004808199,0.0006803215,0.001756281,0.002188662,0.001934172,0.0008251223,0.002687927,0.001662176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926637,"about_ca_system_score_gemma":0.0009894369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004898762,"about_ca_topic_score_gemma":0.003548843,"domain_scores_codex":[0.9978108,0.00116962,0.00008285065,0.0001878479,0.0006844154,0.00006438228],"domain_scores_gemma":[0.9968945,0.002577183,0.00008790147,0.0001187577,0.0002801443,0.00004156482],"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":[0.00001152865,0.00001242628,0.0001983129,0.0001475706,0.00003249176,0.00007291261,0.0001790588,0.01775217,0.0001175711,0.8845217,0.01372635,0.08322795],"study_design_scores_gemma":[0.000004999758,0.000006929929,0.0001677521,0.000116526,0.000008939072,0.0000545776,0.0000386447,0.03162313,0.00009197274,0.9398025,0.02807013,0.00001385875],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003110938,0.06101251,0.8593605,0.005529091,0.001772261,0.00005671532,0.0002674454,0.0002023018,0.06868821],"genre_scores_gemma":[0.2472844,0.06160958,0.6065036,0.002597738,0.005704179,0.0005103564,0.0006378624,0.0003147351,0.07483755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005169987,"threshold_uncertainty_score":0.02734184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}