{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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":"25012d0d7a9f","filters":{"venue":"International Journal of Decision Support System Technology"}},"results":[{"id":"W2617524550","doi":"10.4018/ijdsst.2017100101","title":"A Recommender System Based on Multi-Criteria Aggregation","year":2017,"lang":"en","type":"preprint","venue":"International Journal of Decision Support System Technology","topic":"Multi-Criteria Decision Making","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":"Wilfrid Laurier University","funders":"Agence Nationale de la Recherche","keywords":"Recommender system; Computer science; Information retrieval","authors":[{"name":"Soumana Fomba","is_ca":false},{"name":"Pascale Zaraté","is_ca":false},{"name":"Marc Kilgour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1705083172655027,"gpt":0.4657868332620165,"spread":0.2952785159965138,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003140465,0.0009048032,0.001846983,0.001756978,0.001356642,0.002494626,0.001274517,0.001969485,0.005648054],"category_scores_gemma":[0.006537877,0.0004426974,0.001737331,0.002090938,0.0004146231,0.00152105,0.00124043,0.001351479,0.002497002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623199,"about_ca_system_score_gemma":0.001338298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006504534,"about_ca_topic_score_gemma":0.007153927,"domain_scores_codex":[0.997155,0.001048674,0.0002516865,0.0005055415,0.0009203666,0.0001188107],"domain_scores_gemma":[0.9976846,0.0007566975,0.0001219901,0.0003850147,0.0009169715,0.0001346539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004515508,0.0002975514,0.004264783,0.0009451116,0.001221081,0.001087106,0.0005965401,0.239817,0.01814594,0.0765831,0.03089082,0.6256993],"study_design_scores_gemma":[0.0001449447,0.0003031343,0.001420278,0.0001336087,0.0003809907,0.0006521856,0.0000996563,0.9130669,0.005740632,0.03253832,0.04536269,0.0001566473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0112154,0.00130403,0.9753497,0.0006282744,0.0003090846,0.0003240594,0.0003970386,0.00140235,0.009070031],"genre_scores_gemma":[0.2039818,0.001486248,0.7821628,0.0003143815,0.000283225,0.0004947311,0.0009524077,0.0001116492,0.01021289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006504534,"threshold_uncertainty_score":0.01889461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123641332","doi":"10.4018/jdsst.2013040103","title":"A Concurrent Modelling to Generate Alternatives Approach Using the Firefly Algorithm","year":2013,"lang":"en","type":"article","venue":"International Journal of Decision Support System Technology","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Computer science; Firefly algorithm; Implementation; Mathematical optimization; Firefly protocol; Algorithm; Mathematics","authors":[{"name":"Raha Imanirad","is_ca":true},{"name":"Xin‐She Yang","is_ca":false},{"name":"Julian Scott Yeomans","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1587028194671941,"gpt":0.4153995178116893,"spread":0.2566966983444952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526448,0.001184398,0.001157175,0.001182818,0.000763584,0.001269346,0.002647824,0.001525073,0.002790186],"category_scores_gemma":[0.004149904,0.0008814264,0.001596566,0.0009012514,0.0009589813,0.001445551,0.002178188,0.00207312,0.0003392732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022966,"about_ca_system_score_gemma":0.001763999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004573432,"about_ca_topic_score_gemma":0.004607535,"domain_scores_codex":[0.9987423,0.000521493,0.00003986795,0.0001639918,0.0004389138,0.00009334476],"domain_scores_gemma":[0.9986151,0.0009009633,0.0001218568,0.0001243726,0.0001700891,0.00006745429],"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":[0.00008800622,0.00008828462,0.0004590565,0.00006423291,0.00007644304,0.00006695651,0.0001254208,0.9159635,0.003325572,0.02722441,0.0006182254,0.05189998],"study_design_scores_gemma":[0.00001769856,0.0000213838,0.00002318695,0.00000351932,0.000009308019,0.000013956,0.000004908669,0.9951943,0.0005650774,0.00351878,0.0006216835,0.000006233669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004556729,0.00004686226,0.9937485,0.00008278796,0.00001644402,0.00004690448,0.000010416,0.0001765592,0.001314759],"genre_scores_gemma":[0.1373199,0.00008085741,0.8606539,0.00008060504,0.00002404842,0.0002543681,0.00005272925,0.00008721327,0.001446369],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004573432,"threshold_uncertainty_score":0.01336128,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091890667","doi":"10.4018/ijdsst.2015010104","title":"Strategic Investigation of the Jackpine Mine Expansion Dispute in the Alberta Oil Sands","year":2015,"lang":"en","type":"article","venue":"International Journal of Decision Support System Technology","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University; Centre for International Governance Innovation; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Oil sands; Government (linguistics); Crude oil; Asphalt; Business; Fossil fuel; Environmental planning; Environmental resource management; Environmental science; Engineering; Geography; Petroleum engineering; Waste management; Archaeology","authors":[{"name":"Yi Xiao","is_ca":true},{"name":"Keith W. Hipel","is_ca":true},{"name":"Liping Fang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09663798096798511,"gpt":0.3700729639075885,"spread":0.2734349829396034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002428509,0.0004005761,0.0003878226,0.001515512,0.002623593,0.002230087,0.001276339,0.001448644,0.002522007],"category_scores_gemma":[0.005280963,0.0002132327,0.0004432727,0.002143365,0.002545099,0.001032353,0.001441752,0.001297404,0.0001008614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01286895,"about_ca_system_score_gemma":0.0128004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3361369,"about_ca_topic_score_gemma":0.5636016,"domain_scores_codex":[0.9978782,0.001446012,0.00003936255,0.00008900179,0.0002727804,0.0002746706],"domain_scores_gemma":[0.995865,0.003201547,0.0003766227,0.00008149161,0.0002310693,0.0002443288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.001299429,0.0009216039,0.04636383,0.0004717878,0.0001719878,0.006128702,0.01089096,0.5191165,0.002567615,0.3542748,0.007871827,0.04992091],"study_design_scores_gemma":[0.0001609067,0.0004511698,0.01826068,0.0001454106,0.0001055328,0.0003899853,0.06272873,0.8413716,0.001377708,0.05935108,0.01553638,0.0001207775],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425476,0.0003063106,0.01436275,0.001672396,0.00003140215,0.000332881,0.0002333762,0.00003282228,0.04048045],"genre_scores_gemma":[0.9912745,0.0002034784,0.006050807,0.00007893035,0.000004600993,0.00006667209,0.00009499594,0.000003318515,0.002222604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6638631,"threshold_uncertainty_score":0.6683607,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2914407935","doi":"10.4018/ijdsst.2019040105","title":"A Decision Support System for On-Demand Goods Delivery Using Shared Autonomous Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"International Journal of Decision Support System Technology","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Sizing; Computer science; Decision support system; Strategic planning; Operations research; Environmental economics; Business; Process management; Marketing; Artificial intelligence; Engineering; Economics","authors":[{"name":"Amel Jaoua","is_ca":false},{"name":"Marouen Ben Ammar","is_ca":false},{"name":"Anjali Awasthi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0148727780909577,"gpt":0.2751090930704588,"spread":0.2602363149795011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009114497,0.0006546748,0.000594261,0.0007668224,0.0006634946,0.001314003,0.0009802791,0.0007393883,0.004073197],"category_scores_gemma":[0.001711632,0.000235048,0.0004326164,0.0004880844,0.0002760289,0.0009319267,0.0009612133,0.0006992298,0.0007085263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000703375,"about_ca_system_score_gemma":0.001286715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653275,"about_ca_topic_score_gemma":0.002530567,"domain_scores_codex":[0.9995015,0.0001408735,0.00005822921,0.0001026402,0.000142132,0.00005463721],"domain_scores_gemma":[0.9992028,0.0003163481,0.0000946312,0.00006329429,0.0002420291,0.00008100198],"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":[0.0006183371,0.0004158007,0.003848255,0.0002337498,0.0001038354,0.0006673628,0.00033078,0.6887036,0.01530926,0.02226003,0.0074666,0.2600424],"study_design_scores_gemma":[0.00006244613,0.0001219937,0.0003185125,0.00001589543,0.00002361686,0.00005706624,0.00006515578,0.9874844,0.003084061,0.00335309,0.005398159,0.00001571132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05150383,0.0001296825,0.9381357,0.0004161028,0.0001079873,0.0002662751,0.0004030579,0.004059248,0.004978085],"genre_scores_gemma":[0.8514368,0.0001607825,0.1446666,0.0001312137,0.00004098795,0.0003100672,0.000624794,0.00006099183,0.002567739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004073197,"threshold_uncertainty_score":0.01362622,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1985956533","doi":"10.4018/ijdsst.2014100102","title":"Quantitative Concession Behavior Analysis and Prediction for Decision Support in Electronic Negotiations","year":2014,"lang":"en","type":"article","venue":"International Journal of Decision Support System Technology","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Negotiation; Crossover; Computer science; Decision support system; Generalization; Simple (philosophy); Operations research; Empirical research; Quantitative analysis (chemistry); Management science; Microeconomics; Artificial intelligence; Economics; Law; Statistics; Mathematics","authors":[{"name":"Réal A. Carbonneau","is_ca":true},{"name":"Rustam Vahidov","is_ca":true},{"name":"Gregory E. Kersten","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01523898166026794,"gpt":0.3264846566704194,"spread":0.3112456750101514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00663474,0.0006668036,0.0006040306,0.001893413,0.0005092827,0.00150376,0.001188604,0.0008057776,0.003264601],"category_scores_gemma":[0.03854961,0.0003600962,0.0004945835,0.001676534,0.001395172,0.002700592,0.0007699002,0.001183923,0.0003188331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013607,"about_ca_system_score_gemma":0.0006310242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00279002,"about_ca_topic_score_gemma":0.001378384,"domain_scores_codex":[0.996087,0.002562526,0.0001825752,0.0003182369,0.0006804022,0.000169297],"domain_scores_gemma":[0.9629794,0.03034018,0.002826476,0.002183103,0.001289916,0.0003808888],"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":[0.0006289983,0.0007771871,0.04035639,0.0002213817,0.0001064361,0.0001449422,0.001232957,0.7775324,0.003797691,0.06806661,0.001054577,0.1060804],"study_design_scores_gemma":[0.00000862193,0.00006787037,0.002974196,0.000009449635,0.000004527788,0.00001889605,0.00009071152,0.9862669,0.0005722361,0.009816238,0.0001561695,0.00001422403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4032623,0.0001643412,0.5890442,0.0002810909,0.00002043959,0.0003115208,0.0002245131,0.0007307768,0.005960881],"genre_scores_gemma":[0.9519182,0.00003007525,0.04742769,0.00001678128,0.000006119121,0.0001454557,0.0001131849,0.00001575166,0.0003267379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00663474,"threshold_uncertainty_score":0.0350883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043232047","doi":"10.4018/ijdsst.2020070103","title":"Fuzzy Interval Number K-Means Clustering for Region Division of Pork Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Decision Support System Technology","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cluster analysis; Silhouette; Division (mathematics); Computer science; Data mining; Fuzzy logic; Mathematics; Algorithm; Artificial intelligence; Arithmetic","authors":[{"name":"Xiangyan Meng","is_ca":false},{"name":"Muyan Liu","is_ca":false},{"name":"Ailing Qiao","is_ca":false},{"name":"Huiqiu Zhou","is_ca":false},{"name":"Jingyi Wu","is_ca":false},{"name":"Fei Xu","is_ca":false},{"name":"Qiufeng Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02099407452333302,"gpt":0.2763829404493546,"spread":0.2553888659260216,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001131704,0.0008362221,0.001129425,0.00314837,0.001229447,0.001415375,0.001598113,0.00105793,0.001191085],"category_scores_gemma":[0.003262623,0.0003131892,0.001434093,0.003792068,0.0006399106,0.001772994,0.0007130224,0.0009240633,0.0004383664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001817228,"about_ca_system_score_gemma":0.002165763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019825,"about_ca_topic_score_gemma":0.01285058,"domain_scores_codex":[0.9984042,0.0002296841,0.000148161,0.0005425281,0.0005207664,0.0001546671],"domain_scores_gemma":[0.9991577,0.000179853,0.0001099454,0.00009664366,0.0004139566,0.00004199778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00053308,0.0002112363,0.01064336,0.0004395101,0.0003044993,0.000195092,0.0007706653,0.4482343,0.01099615,0.0192214,0.009651032,0.4987996],"study_design_scores_gemma":[0.00002328019,0.00004803449,0.003160513,0.00002444123,0.00003873375,0.00008919265,0.0002590082,0.9790164,0.004944673,0.008814273,0.00351833,0.00006303546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06284758,0.001001317,0.9310278,0.0002149348,0.0001200121,0.0001558105,0.0004961556,0.0009582705,0.003178244],"genre_scores_gemma":[0.4772218,0.0006527092,0.5172347,0.00009160446,0.00009070542,0.0002406332,0.00160091,0.0001514371,0.002715418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02019825,"threshold_uncertainty_score":0.04016137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}