{"meta":{"query_hash":"e6f073d1fb67","filters":{"venue":"Multiple criteria decision making"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e6f073d1fb67","api":"https://metacan.xera.ac/api/v1/cohort?venue=Multiple+criteria+decision+making"},"results":[{"id":"W4285111931","doi":"10.1007/978-3-030-96318-7_21","title":"An Approach to Combining Adherence-to-Therapy and Patient Preference Models for Evaluation of Therapies in Patient-Centered Care","year":2022,"lang":"en","type":"book-chapter","venue":"Multiple criteria decision making","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Preference; Medicine; Guideline; Intensive care medicine; Clinical Practice; Population; Health care; Physical therapy","score_opus":0.2803671300585127,"score_gpt":0.3916860216746838,"score_spread":0.11131889161617109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285111931","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035960013,0.000924446,0.9663295,0.0022156541,0.0002143607,0.00022198427,0.00018532168,0.00013379254,0.026178975],"genre_scores_gemma":[0.09923152,0.0010327068,0.8898264,0.0009190482,0.00018239269,0.0010310285,0.00016606854,0.00007404689,0.007536774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9855897,0.011575444,0.00039024858,0.0003253573,0.0019134177,0.00020575013],"domain_scores_gemma":[0.97491837,0.023298282,0.00035584928,0.00040075596,0.00087337487,0.000153314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012175359,0.0015092323,0.00129692,0.0018028264,0.0007322849,0.003593116,0.0018532677,0.0015836932,0.0071839388],"category_scores_gemma":[0.02362691,0.00074177695,0.0027910646,0.0022676047,0.0014896322,0.0032262574,0.0016558423,0.003649314,0.00070591125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091071015,0.00028301237,0.0013851138,0.000298546,0.00030734562,0.0001751236,0.0007608255,0.054589663,0.00028987002,0.7598827,0.01028787,0.17164895],"study_design_scores_gemma":[0.00003060592,0.00013710931,0.0005858346,0.00019910683,0.000116934294,0.00018341534,0.00037011906,0.29594213,0.00029161526,0.69079864,0.011283717,0.000060865972],"about_ca_topic_score_codex":0.005294627,"about_ca_topic_score_gemma":0.012153432,"teacher_disagreement_score":0.012175359,"about_ca_system_score_codex":0.0024441597,"about_ca_system_score_gemma":0.002895704,"threshold_uncertainty_score":0.06439024},"labels":[],"label_agreement":null},{"id":"W4381516453","doi":"10.1007/978-3-031-28465-6","title":"Multicriteria Decision Aiding Interventions","year":2023,"lang":"en","type":"book","venue":"Multiple criteria decision making","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Psychological intervention; Management science; Computer science; Psychology; Engineering","score_opus":0.31045412462819705,"score_gpt":0.4781550220470618,"score_spread":0.16770089741886474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381516453","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008396801,0.0107638305,0.4211669,0.0049448092,0.002293606,0.0006375354,0.0005589004,0.0010347738,0.5502028],"genre_scores_gemma":[0.16874216,0.011441178,0.41858378,0.0046762344,0.00085075566,0.0014369796,0.0006105491,0.0002448443,0.39341363],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946517,0.0002491081,0.000021445285,0.000056021825,0.00017369265,0.000034535053],"domain_scores_gemma":[0.9992536,0.0005334324,0.00004873754,0.00005434608,0.00007709741,0.000032785058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085994304,0.00051954424,0.000439338,0.00050372,0.00024872902,0.0008267825,0.00075773295,0.0005801069,0.062221963],"category_scores_gemma":[0.0026469196,0.000117708674,0.00034165103,0.00045474246,0.00028815883,0.0006478108,0.0011487457,0.0007214054,0.0059661255],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016492115,0.0001287957,0.00019992379,0.00040230565,0.00002296521,0.000107683685,0.00009440381,0.0038358485,0.0012044236,0.07629697,0.06772046,0.84982127],"study_design_scores_gemma":[0.00015374065,0.00053153414,0.0017948879,0.0011888089,0.00006432818,0.001625713,0.00027499915,0.028758358,0.0036431802,0.21236287,0.7495595,0.00004199129],"about_ca_topic_score_codex":0.00037879404,"about_ca_topic_score_gemma":0.001002841,"teacher_disagreement_score":0.062221963,"about_ca_system_score_codex":0.00047891174,"about_ca_system_score_gemma":0.00074307347,"threshold_uncertainty_score":0.20815319},"labels":[],"label_agreement":null},{"id":"W4381516520","doi":"10.1007/978-3-031-28465-6_9","title":"GIS Based/MCDA Modelling for Strategic Environmental and Social Assessment of Land-Use Planning Scenarios in Conflictual Socioecosystems","year":2023,"lang":"en","type":"book-chapter","venue":"Multiple criteria decision making","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Representativeness heuristic; Land-use planning; Context (archaeology); Process (computing); Legislature; Management science; Outcome (game theory); Field (mathematics); Land use; Environmental planning; Strategic planning; Compromise; Process management; Political science; Environmental resource management; Computer science; Business; Geography; Engineering; Psychology; Civil engineering; Economics; Marketing","score_opus":0.1043434639396085,"score_gpt":0.31990793985436095,"score_spread":0.21556447591475245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381516520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030540733,0.0013020333,0.9005854,0.0010153744,0.0002311881,0.00017775898,0.00243876,0.0010169501,0.06269179],"genre_scores_gemma":[0.3773767,0.0018531104,0.5783512,0.00017083842,0.00007169805,0.00062478415,0.0016857635,0.00052317657,0.039342772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997719,0.00009408858,0.000014257598,0.000024627896,0.00008135593,0.0000136655],"domain_scores_gemma":[0.99958175,0.00029400384,0.000017538092,0.000025201776,0.00006674722,0.000014829736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004544231,0.00055523776,0.0005675158,0.0006898393,0.0005727147,0.0016892136,0.001183521,0.0010250761,0.010283412],"category_scores_gemma":[0.0012071416,0.00064620544,0.0007417242,0.0013648681,0.00047191826,0.0011459723,0.00082676683,0.00081512006,0.0010784715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016276015,0.00003173527,0.00043496257,0.00012353392,0.000028124232,0.00012361264,0.000110841065,0.9205389,0.0011596789,0.03361654,0.004288127,0.039527547],"study_design_scores_gemma":[0.0000041459734,0.000006274859,0.00018302952,0.000026241045,0.000005963862,0.000026885375,0.000043825235,0.9714084,0.00030387632,0.020270031,0.007713584,0.000007755403],"about_ca_topic_score_codex":0.02082104,"about_ca_topic_score_gemma":0.0363159,"teacher_disagreement_score":0.02082104,"about_ca_system_score_codex":0.001244151,"about_ca_system_score_gemma":0.0009918191,"threshold_uncertainty_score":0.041399658},"labels":[],"label_agreement":null},{"id":"W4381516610","doi":"10.1007/978-3-031-28465-6_6","title":"Mutlicriteria Decision Aiding: Challenges in Real-Life Interventions","year":2023,"lang":"en","type":"book-chapter","venue":"Multiple criteria decision making","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports; Université Laval","funders":"","keywords":"Multiple-criteria decision analysis; Psychological intervention; Commission; Intervention (counseling); Management science; Jurisdiction; Field (mathematics); Engineering; Environmental planning; Business; Risk analysis (engineering); Process management; Operations research; Political science; Geography; Psychology","score_opus":0.5252377992111219,"score_gpt":0.4770513713740065,"score_spread":0.04818642783711541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381516610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00686931,0.05837279,0.5204748,0.06734067,0.0039776084,0.0001989933,0.0003175746,0.00060494244,0.34184334],"genre_scores_gemma":[0.24990505,0.06758198,0.5231975,0.01076186,0.0022637786,0.0006166536,0.0004073896,0.00032455297,0.1449413],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984902,0.00088552013,0.000051971496,0.000108812594,0.0003966732,0.000066721965],"domain_scores_gemma":[0.99571687,0.0036217324,0.00012656442,0.00012583366,0.0002910967,0.00011794751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004072657,0.00077891385,0.00091590825,0.0006561495,0.0007162645,0.0059937295,0.0018392113,0.0018894676,0.013671411],"category_scores_gemma":[0.008879542,0.00021163197,0.00037358367,0.0009503265,0.0028260455,0.0038019395,0.0019503679,0.003616886,0.0026357549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029431076,0.00006297128,0.00019532884,0.0004370786,0.000022052425,0.00013338168,0.00039037372,0.006660837,0.0003314386,0.67779565,0.039481003,0.2744604],"study_design_scores_gemma":[0.00001057285,0.00004687034,0.0002002327,0.0008074462,0.000010293406,0.00028236472,0.00048307347,0.016406827,0.0003578849,0.8039058,0.1774665,0.000022217015],"about_ca_topic_score_codex":0.0010771572,"about_ca_topic_score_gemma":0.0025307296,"teacher_disagreement_score":0.013671411,"about_ca_system_score_codex":0.0015166454,"about_ca_system_score_gemma":0.0026198456,"threshold_uncertainty_score":0.04573536},"labels":[],"label_agreement":null},{"id":"W749458021","doi":"","title":"An Interactive Approach Determining the Indifference Thresholds in Promethee II","year":2011,"lang":"en","type":"article","venue":"Multiple criteria decision making","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Artificial intelligence","score_opus":0.0980458676497658,"score_gpt":0.33472455272088214,"score_spread":0.23667868507111633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W749458021","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013675295,0.000119481076,0.97960573,0.00012550752,0.0000220861,0.0000935175,0.00004044034,0.0001409091,0.006177111],"genre_scores_gemma":[0.24355197,0.00013529764,0.7525697,0.00008095342,0.000025302865,0.00030294788,0.00010580865,0.00010413268,0.0031239404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99547124,0.0023506116,0.00023252652,0.0005870443,0.0010308814,0.00032771582],"domain_scores_gemma":[0.99353373,0.0051318193,0.00019176099,0.00035121382,0.0006153255,0.00017623881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070179235,0.0007555377,0.0016641065,0.002766797,0.0017932388,0.0044918885,0.0028086381,0.0014473372,0.008298891],"category_scores_gemma":[0.017839922,0.001012153,0.0018456216,0.0017719909,0.0017687214,0.00389478,0.004223155,0.0026579672,0.0009465601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006315442,0.00023119428,0.0015095053,0.00038786902,0.00013534182,0.00036207747,0.0020897214,0.17661598,0.0066415323,0.6079109,0.0020300085,0.20145442],"study_design_scores_gemma":[0.000038140384,0.000108147564,0.00035003273,0.00009211608,0.000052337957,0.00010350362,0.0002456253,0.677469,0.0038226892,0.3139465,0.0037165857,0.00005532283],"about_ca_topic_score_codex":0.0022192704,"about_ca_topic_score_gemma":0.0020441825,"teacher_disagreement_score":0.008298891,"about_ca_system_score_codex":0.0016508391,"about_ca_system_score_gemma":0.0018691736,"threshold_uncertainty_score":0.0371148},"labels":[],"label_agreement":null},{"id":"W866942720","doi":"","title":"Prediction of Bankruptcy Based on the Mathematical Programming","year":2009,"lang":"en","type":"article","venue":"Multiple criteria decision making","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bankruptcy; Computer science; Business; Finance","score_opus":0.047807208524758386,"score_gpt":0.27744809529193415,"score_spread":0.22964088676717576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W866942720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10929285,0.0005054852,0.8855471,0.0007437021,0.000086656815,0.00007552643,0.00010848198,0.00022678044,0.0034134022],"genre_scores_gemma":[0.9237953,0.0004009883,0.073278785,0.000082570456,0.00007407613,0.00019542497,0.000111717185,0.000025127822,0.0020360185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999316,0.00031496803,0.00003816891,0.0001073121,0.00015230088,0.00007144036],"domain_scores_gemma":[0.9945028,0.0046757343,0.00027664434,0.00005651669,0.00039174815,0.00009672827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021288462,0.0008881193,0.001506368,0.0012179009,0.00047465652,0.0017497563,0.0008491809,0.0010307486,0.0017278632],"category_scores_gemma":[0.007251558,0.0005958229,0.00093366957,0.000809634,0.0008375735,0.001252387,0.0006449497,0.00143727,0.00017944034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029212611,0.00003610236,0.00059954624,0.000023156375,0.000019616627,0.000024085022,0.00001177426,0.98694754,0.000112386835,0.0045673493,0.0002510473,0.0073781535],"study_design_scores_gemma":[0.0000015559518,0.0000050973536,0.000043504882,0.0000015718175,0.0000019121749,0.0000019940271,0.0000011864634,0.99863106,0.00003279586,0.0012625941,0.000015360809,0.0000014062551],"about_ca_topic_score_codex":0.007764701,"about_ca_topic_score_gemma":0.0036153537,"teacher_disagreement_score":0.007764701,"about_ca_system_score_codex":0.0011672114,"about_ca_system_score_gemma":0.0016297067,"threshold_uncertainty_score":0.015438974},"labels":[],"label_agreement":null},{"id":"W908445570","doi":"","title":"Planning and Control : An Approach Based on Rough Sets","year":2007,"lang":"en","type":"article","venue":"Multiple criteria decision making","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science; Control (management); Rough set; Artificial intelligence","score_opus":0.052302452137516504,"score_gpt":0.34128902793089244,"score_spread":0.28898657579337594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W908445570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072656927,0.0006308075,0.9963199,0.00024312292,0.000048001613,0.000047252506,0.000021341275,0.000049970746,0.0019129821],"genre_scores_gemma":[0.13344993,0.0027675962,0.86086196,0.00016018724,0.00022482626,0.0004462114,0.00008747262,0.000057623914,0.0019442699],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99576277,0.001929496,0.00024398825,0.00041510846,0.0014607235,0.00018790335],"domain_scores_gemma":[0.99710673,0.0021455947,0.00021274628,0.00018686836,0.000259855,0.00008820943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046242345,0.0018620196,0.004042224,0.0039409455,0.0012638441,0.0061147716,0.0033564349,0.0022908212,0.0029351665],"category_scores_gemma":[0.0075627393,0.0015608416,0.0036810383,0.004537508,0.0029686887,0.005334763,0.0026797084,0.0028568315,0.0004161879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048574017,0.00006733468,0.00015334638,0.00040942628,0.00023386991,0.00013646834,0.00031108412,0.43997395,0.0005910212,0.49343428,0.001041669,0.0635989],"study_design_scores_gemma":[0.000028761415,0.00005798015,0.00008159974,0.0000959408,0.00010262717,0.000040839088,0.00008089819,0.55708855,0.00036994275,0.437801,0.004203292,0.000048530193],"about_ca_topic_score_codex":0.006872817,"about_ca_topic_score_gemma":0.0053657843,"teacher_disagreement_score":0.006872817,"about_ca_system_score_codex":0.0026737712,"about_ca_system_score_gemma":0.003261361,"threshold_uncertainty_score":0.024455547},"labels":[],"label_agreement":null}]}