{"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":"19cb1194084d","filters":{"venue":"Statistical science and interdisciplinary research"}},"results":[{"id":"W2504347614","doi":"10.1142/9789812813220_0004","title":"A General Framework for the Analysis of Sets of Constraints","year":2008,"lang":"en","type":"book-chapter","venue":"Statistical science and interdisciplinary research","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science","authors":[{"name":"Richard J. Caron","is_ca":true},{"name":"Tim Traynor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2983081763563007,"gpt":0.5579066665103913,"spread":0.2595984901540906,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01110739,0.0001615413,0.0005874307,0.001936096,0.0008292882,0.0002170459,0.001830535,0.0001302656,0.001267413],"category_scores_gemma":[0.006171118,0.00009342398,0.0001575317,0.001686749,0.0159685,0.0001999148,0.002533006,0.0004297752,0.00001337475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000751594,"about_ca_system_score_gemma":0.0004273554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001407259,"about_ca_topic_score_gemma":0.00003577286,"domain_scores_codex":[0.9938635,0.0001040683,0.0008730701,0.0007586539,0.004017432,0.00038325],"domain_scores_gemma":[0.9863054,0.009590432,0.0002401136,0.0008951296,0.002827051,0.0001419047],"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":[0.00004673709,0.00002821949,0.00005270325,0.00001435795,0.0001455074,0.000005848834,0.0005513239,0.00001194253,0.00005038314,0.8604777,0.02210756,0.1165077],"study_design_scores_gemma":[0.00008551566,0.0007063496,0.004719485,0.0001022091,0.0002108314,0.000004521078,0.0007597894,0.03339369,0.0000910567,0.9534124,0.006332991,0.0001811379],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001692772,0.0003744378,0.5828907,0.003422631,0.0002312147,0.002224678,0.002825854,0.0000261536,0.4063115],"genre_scores_gemma":[0.8325807,0.0005660393,0.09331662,0.0000830947,0.0001024978,0.0001219752,0.00004437613,0.00003043277,0.07315429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8308879,"threshold_uncertainty_score":0.9996456,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2489524361","doi":"10.1142/9789812813220_0002","title":"Anti-stalling Pivot Rule for Linear Programs with Totally Unimodular Coefficient Matrix","year":2008,"lang":"en","type":"book-chapter","venue":"Statistical science and interdisciplinary research","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University; University of New Brunswick","funders":"","keywords":"Unimodular matrix; Coefficient matrix; Matrix (chemical analysis); Mathematics; Combinatorics; Physics; Chemistry","authors":[{"name":"Santosh N. Kabadi","is_ca":true},{"name":"Abraham P. Punnen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1324635118651667,"gpt":0.4634807873834562,"spread":0.3310172755182895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003047594,0.0004429439,0.0006677139,0.0007270132,0.001958136,0.0003245776,0.0009159908,0.0002359299,0.0002347002],"category_scores_gemma":[0.00107297,0.0003362429,0.0000759382,0.0005698882,0.006822376,0.0003191109,0.002116874,0.001195949,0.0000524081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004570587,"about_ca_system_score_gemma":0.001176379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005133808,"about_ca_topic_score_gemma":0.00001438838,"domain_scores_codex":[0.9929038,0.00006972585,0.0006198044,0.001372911,0.003624958,0.001408793],"domain_scores_gemma":[0.9938305,0.001411489,0.0001475597,0.0006583045,0.003270947,0.0006811955],"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":[0.001064052,0.0007899742,0.00001632909,0.001594795,0.0001583718,0.0008392347,0.002158944,0.001045901,0.0003052966,0.9137744,0.00877505,0.06947761],"study_design_scores_gemma":[0.002231827,0.008763472,0.00004376423,0.002012836,0.00008507676,0.0004292481,0.001358827,0.4723476,0.0002395596,0.4732728,0.03740137,0.001813577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001046406,0.0003413538,0.8633461,0.0009739859,0.0001543005,0.005267287,0.0006997656,0.0001885067,0.1279823],"genre_scores_gemma":[0.01404945,0.0007028785,0.7190903,0.00002758492,0.0004596999,0.0004296479,0.0003226219,0.0003317097,0.2645861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4713018,"threshold_uncertainty_score":0.999909,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2493782397","doi":"10.1142/9789812839428_0005","title":"ON EFFECTING INSTITUTIONAL CHANGE","year":2009,"lang":"en","type":"book-chapter","venue":"Statistical science and interdisciplinary research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"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":"University of Delhi","keywords":"Institutional change; Business; Political science; Public administration","authors":[{"name":"Sumon Majumdar","is_ca":true},{"name":"Sharun Mukand","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1881605074224978,"gpt":0.3867859181310673,"spread":0.1986254107085696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003217605,0.0002333645,0.0004306472,0.0008425662,0.001162787,0.0002431424,0.0004939074,0.0001926456,0.0007028803],"category_scores_gemma":[0.0005635031,0.0002294931,0.00005866364,0.0001568173,0.002655605,0.0003629336,0.0009177449,0.0009651923,0.001975023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005126586,"about_ca_system_score_gemma":0.0001042315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003014765,"about_ca_topic_score_gemma":0.00001020275,"domain_scores_codex":[0.9975636,0.00001482327,0.0004782063,0.0009721887,0.0002622989,0.000708894],"domain_scores_gemma":[0.9986923,0.000436507,0.0001097067,0.0003151294,0.0001005214,0.0003458904],"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":[0.00003750517,0.00002655423,0.00002639666,0.00003655331,0.000007983474,0.00002782737,0.0002006718,3.288231e-7,0.000001644629,0.9609786,0.004518133,0.03413786],"study_design_scores_gemma":[0.0001596302,0.000806026,0.002911305,0.0001545909,0.000001933714,0.00001452287,0.00001498786,0.001235279,0.000002933216,0.9738203,0.02061486,0.0002636452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008035162,0.0002902117,0.0001766918,0.002125633,0.000278949,0.0003542438,0.0004671835,0.00002112371,0.9954824],"genre_scores_gemma":[0.918251,0.0001128278,0.0002968364,0.0007999923,0.001120283,0.00005961744,0.00005708234,0.00004437674,0.07925803],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9174474,"threshold_uncertainty_score":0.9988021,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2478146898","doi":"10.1142/9789812818997_0013","title":"Knowledge Reuse in the Design of Models of Computational Intelligence","year":2008,"lang":"en","type":"book-chapter","venue":"Statistical science and interdisciplinary research","topic":"AI-based Problem Solving and Planning","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 Alberta","funders":"","keywords":"Reuse; Computer science; Software engineering; Management science; Engineering","authors":[{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2239316384522015,"gpt":0.4250761065756969,"spread":0.2011444681234954,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006316959,0.0001715535,0.0003148189,0.0006412321,0.0004154493,0.00008950296,0.003032879,0.000105808,0.00002159773],"category_scores_gemma":[0.0004265797,0.0001197899,0.00003385995,0.0006067095,0.003792075,0.0003716804,0.002941313,0.0007561633,0.00001383702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008470252,"about_ca_system_score_gemma":0.001114216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002041421,"about_ca_topic_score_gemma":0.000004656711,"domain_scores_codex":[0.9966014,0.0002459666,0.0005394839,0.0005940034,0.00159048,0.0004286881],"domain_scores_gemma":[0.9941941,0.004057694,0.0001206111,0.0006440837,0.0008616789,0.0001218047],"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":[0.00005215255,0.00008724115,0.000007450141,0.000121449,0.000008251478,0.00007426043,0.01524942,0.00918817,0.00002401894,0.9324649,0.006955751,0.03576695],"study_design_scores_gemma":[0.00004675984,0.0005439697,0.00007074231,0.0003392418,0.000002033048,0.0000303265,0.0001270866,0.4156099,0.00002637424,0.5829642,0.000134684,0.0001046837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007796939,0.0006729733,0.9007118,0.0005982174,0.00005857127,0.0003741375,0.00004846243,0.00001081542,0.09744706],"genre_scores_gemma":[0.8582996,0.0003762162,0.1366726,0.00003594393,0.00004580903,0.00002505501,0.00001408178,0.00001890065,0.004511845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8582216,"threshold_uncertainty_score":0.998919,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2497846653","doi":"10.1142/9789814299428_0017","title":"Maximizing the Uptake of Nickel Oxide Nanoparticles by <font>AOT</font> (W/O) Microemulsions","year":2012,"lang":"en","type":"book-chapter","venue":"Statistical science and interdisciplinary research","topic":"Transition Metal Oxide Nanomaterials","field":"Materials 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 Calgary","funders":"","keywords":"Microemulsion; Font; Nickel; Materials science; Chemistry; Computer science; Metallurgy; Artificial intelligence; Biochemistry","authors":[{"name":"Nashaat N. Nassar","is_ca":true},{"name":"Maen M. Husein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0681966059957672,"gpt":0.3727228350570952,"spread":0.304526229061328,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.009067947,0.0003489921,0.0005992632,0.000285636,0.001321498,0.0003717489,0.001301971,0.0001920804,0.002884346],"category_scores_gemma":[0.0005668552,0.0002281092,0.00008454227,0.0002530518,0.008599591,0.0005544542,0.00233829,0.000544683,0.0005973654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001933419,"about_ca_system_score_gemma":0.0003950835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006120842,"about_ca_topic_score_gemma":0.00003086458,"domain_scores_codex":[0.9944541,0.0002697843,0.0009711671,0.0008752493,0.002257243,0.001172495],"domain_scores_gemma":[0.9967653,0.001112967,0.0002050245,0.0007059222,0.000695948,0.0005148078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001558113,0.00005615867,0.000003638318,0.00007840733,0.000009674024,0.00001428717,0.0004495974,3.884226e-7,0.9232784,0.06326079,0.007162908,0.005529921],"study_design_scores_gemma":[0.0007411779,0.001148623,0.0026105,0.0009130063,0.0001480635,0.0001572779,0.001554571,0.0001237731,0.8359923,0.1148638,0.04073367,0.001013302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8938932,0.004154176,0.001185392,0.003746787,0.001117905,0.001981189,0.005014522,0.0001182154,0.08878866],"genre_scores_gemma":[0.9693651,0.0002913568,0.004633129,0.00009083826,0.0001676677,0.00006535135,0.00004452188,0.0000687655,0.02527329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08728616,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}