{"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":"a0f5af9bee6b","filters":{"venue":"Journal of the Operations Research Society of Japan"}},"results":[{"id":"W578809198","doi":"10.15807/jorsj.49.174","title":"BATCH SCHEDULING IN CUSTOMER-CENTRIC SUPPLY CHAINS(&lt;Special Issue&gt;Advanced Planning and Scheduling for Supply Chain Management)","year":2006,"lang":"en","type":"article","venue":"Journal of the Operations Research Society of Japan","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Supply chain; Computer science; Scheduling (production processes); Mathematical optimization; Supply chain management; Flow shop scheduling; Dynamic priority scheduling; Job shop scheduling; Fair-share scheduling; Operations research; Schedule; Mathematics; Business; Operating system","authors":[{"name":"Esaignani Selvarajah","is_ca":true},{"name":"George Steiner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01843656744289311,"gpt":0.2991157838919881,"spread":0.2806792164490949,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120781,0.0007731822,0.0009799168,0.0005177243,0.0008376405,0.001270743,0.001028597,0.0008668797,0.002470075],"category_scores_gemma":[0.001192937,0.0006694003,0.0004751923,0.002239204,0.0006739111,0.001528616,0.0005846621,0.0009294429,0.0003932334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470097,"about_ca_system_score_gemma":0.001132874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004753896,"about_ca_topic_score_gemma":0.00451575,"domain_scores_codex":[0.9993691,0.0001881004,0.00003005269,0.0001458378,0.0001641966,0.0001027503],"domain_scores_gemma":[0.9992208,0.0004620374,0.0001126541,0.00004156887,0.0000914111,0.0000714619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002150689,0.000105121,0.0006131093,0.0002207651,0.00004254322,0.0001904136,0.00008181353,0.9151444,0.006887314,0.03079792,0.003592287,0.0421092],"study_design_scores_gemma":[0.00002869582,0.00008299239,0.0003215114,0.00001012053,0.00001505451,0.00004383237,0.00001961418,0.9708645,0.001912922,0.02411954,0.002568954,0.0000123284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1019233,0.001913645,0.889218,0.0006554572,0.0002130612,0.0001174559,0.0002820436,0.0003108861,0.005366093],"genre_scores_gemma":[0.6994203,0.003282346,0.2851962,0.0001802252,0.000391029,0.0001705122,0.0006522407,0.0001595578,0.01054746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004753896,"threshold_uncertainty_score":0.01066637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141097009","doi":"10.15807/jorsj.53.207","title":"STOCHASTIC COMPARISONS IN REVENUE MANAGEMENT UNDER A DISCRETE CHOICE MODEL OF CONSUMER BEHAVIOR","year":2010,"lang":"en","type":"article","venue":"Journal of the Operations Research Society of Japan","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"McGill University","keywords":"Intuition; Revenue management; Monotonic function; Consumer choice; Microeconomics; Revenue; Consumer behaviour; Discrete choice; Economics; Econometrics; Mathematical economics; Yield management; Choice set; Business; Marketing; Mathematics; Psychology","authors":[{"name":"Hideo Miki","is_ca":false},{"name":"De-bi Cao","is_ca":false},{"name":"Yasushi Masuda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08936113206326625,"gpt":0.3532475661210565,"spread":0.2638864340577903,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016951,0.0005985689,0.001592763,0.0007309048,0.0006117058,0.002412054,0.001576898,0.001411454,0.003204991],"category_scores_gemma":[0.03631462,0.0008131315,0.001184936,0.0006752528,0.003387321,0.007046676,0.001164101,0.002238647,0.0002401182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003865622,"about_ca_system_score_gemma":0.001536462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002135716,"about_ca_topic_score_gemma":0.0014579,"domain_scores_codex":[0.9916955,0.005725006,0.0002512599,0.0009282442,0.0007068922,0.0006932144],"domain_scores_gemma":[0.9562306,0.03632476,0.004335864,0.001293975,0.001100532,0.0007141671],"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":[0.0004003146,0.0003625715,0.004503102,0.0001444395,0.0001245114,0.000366346,0.0003583855,0.3559097,0.001503712,0.6212444,0.0004383971,0.01464398],"study_design_scores_gemma":[0.00008758794,0.0002028984,0.001713896,0.00001954607,0.00002569034,0.00009914674,0.00009742509,0.7825477,0.0003965905,0.2143694,0.0004021677,0.00003792838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5120797,0.0004042518,0.4720081,0.002258398,0.00004303125,0.0001921456,0.0001756982,0.0001254963,0.01271309],"genre_scores_gemma":[0.9765802,0.0001313989,0.02130722,0.00009737806,0.00003496629,0.00009398864,0.00005775549,0.00001678115,0.001680426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016951,"threshold_uncertainty_score":0.08964652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765287882","doi":"10.15807/jorsj.60.419","title":"SMALL DEGENERATE SIMPLICES CAN BE BAD FOR SIMPLEX METHODS","year":2017,"lang":"en","type":"article","venue":"Journal of the Operations Research Society of Japan","topic":"Advanced Optimization Algorithms Research","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":"McMaster University","funders":"Japan Society for the Promotion of Science","keywords":"Simplex; Degeneracy (biology); Simplex algorithm; Degenerate energy levels; Exponential function; Mathematics; Combinatorics; Constraint (computer-aided design); Matrix (chemical analysis); Mathematical optimization; Computer science; Algorithm; Linear programming; Physics; Mathematical analysis; Geometry","authors":[{"name":"Shinji Mizuno","is_ca":false},{"name":"Noriyoshi Sukegawa","is_ca":false},{"name":"Antoine Deza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.4307545666371888,"gpt":0.5584178816665836,"spread":0.1276633150293948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008609428,0.001113885,0.001924438,0.001207891,0.002689478,0.003294153,0.00114106,0.001853305,0.006666714],"category_scores_gemma":[0.04941898,0.001259112,0.001310102,0.001339571,0.003430768,0.004079798,0.004360978,0.003968738,0.001749798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009079843,"about_ca_system_score_gemma":0.001153397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001758153,"about_ca_topic_score_gemma":0.002511536,"domain_scores_codex":[0.9941156,0.003155766,0.0003402091,0.0004211112,0.00154895,0.0004184217],"domain_scores_gemma":[0.9802721,0.01456526,0.0006235318,0.0025925,0.001288466,0.0006580823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004930641,0.0001779765,0.004012295,0.0003788871,0.0001395191,0.0004398454,0.0005082007,0.4729754,0.002496029,0.4390963,0.00973211,0.0695503],"study_design_scores_gemma":[0.00003680162,0.00004128643,0.0001537303,0.00006077232,0.00001380855,0.0001041353,0.00009997784,0.69054,0.001338761,0.3042836,0.003300964,0.00002625923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07371398,0.001060689,0.9059787,0.001642031,0.0003185868,0.0001381259,0.0001527138,0.0006579405,0.01633723],"genre_scores_gemma":[0.5611987,0.0009217939,0.4290922,0.0005466946,0.000103787,0.0004452249,0.0003531049,0.001012802,0.006325731],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008609428,"threshold_uncertainty_score":0.04553157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}