{"meta":{"query_hash":"3373e47b9119","filters":{"venue":"Journal of the Operational Research Society"},"cohort_total":122,"direct_labels_cover":0,"predictions_cover":122,"exported":122,"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/3373e47b9119","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+the+Operational+Research+Society"},"results":[{"id":"W1964527755","doi":"10.1057/palgrave.jors.2601754","title":"The multi-source Weber problem with constant opening cost","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Group for Research in Decision Analysis","funders":"","keywords":"Constant (computer programming); Computer science; Mathematical optimization; Fixed cost; Scheduling (production processes); Heuristic; Project management; Purchasing; Heuristics; Operations research; Mathematics; Operations management; Economics; Engineering; Systems engineering","score_opus":0.08263044589991356,"score_gpt":0.3331939620917556,"score_spread":0.25056351619184203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964527755","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":[0.09252804,0.00080359157,0.8851079,0.0006225482,0.00014496998,0.00020002956,0.00023787584,0.00024343934,0.020111764],"genre_scores_gemma":[0.81263286,0.001025353,0.16859251,0.00009333937,0.00012836025,0.00027517477,0.00018657774,0.00015833786,0.016907506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991153,0.00031430201,0.000036554462,0.00016281765,0.00019433201,0.00017659571],"domain_scores_gemma":[0.9973061,0.0020254853,0.00026642447,0.00013771249,0.000100037316,0.0001642875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014151145,0.0011561414,0.0015514784,0.0012167587,0.0009708021,0.002169027,0.0023948539,0.002347716,0.009161438],"category_scores_gemma":[0.005238859,0.00073792273,0.0011812482,0.0019971507,0.001629018,0.0041911663,0.0021503905,0.001624913,0.00043549002],"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":[0.00021064556,0.00009357312,0.0004166525,0.00026580627,0.000039974857,0.0004777664,0.00009413199,0.80135727,0.0012662997,0.16181786,0.0019238845,0.032036133],"study_design_scores_gemma":[0.000060381568,0.00010552025,0.00029410725,0.000049414808,0.000033269127,0.00030313258,0.00013840091,0.9156628,0.0014287146,0.07862008,0.003262272,0.000041809737],"about_ca_topic_score_codex":0.0026892168,"about_ca_topic_score_gemma":0.002576554,"teacher_disagreement_score":0.009161438,"about_ca_system_score_codex":0.0018794456,"about_ca_system_score_gemma":0.0010744781,"threshold_uncertainty_score":0.030648053},"labels":[],"label_agreement":null},{"id":"W1965406319","doi":"10.1057/palgrave.jors.2601450","title":"An optimal maintenance policy for skipping imminent preventive maintenance for systems experiencing random failures","year":2003,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Preventive maintenance; Planner; Operations research; Computer science; Operations management; Mean time between failures; Weibull distribution; Weighting; Reliability engineering; Economics; Failure rate; Mathematics; Statistics; Engineering","score_opus":0.024042599302717745,"score_gpt":0.3338758463127009,"score_spread":0.30983324700998316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965406319","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":[0.44858605,0.0006097473,0.54616344,0.000545693,0.00005252907,0.00014563564,0.00008156473,0.0003526524,0.0034627044],"genre_scores_gemma":[0.987708,0.00006408592,0.011680818,0.00002835925,0.000008002863,0.00001870343,0.0000127792,0.000009777309,0.00046944176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992293,0.00027840058,0.0000426395,0.00013891536,0.00014928066,0.00016144983],"domain_scores_gemma":[0.9962603,0.002202594,0.0007654186,0.0001461454,0.00038125558,0.00024430276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002182842,0.0005062121,0.0006842962,0.00070192956,0.0003063628,0.0008033293,0.0009788652,0.000692063,0.0011718208],"category_scores_gemma":[0.005724791,0.0003306567,0.00025212544,0.00027823143,0.0007333789,0.0008581669,0.00041569644,0.0005630876,0.00013406403],"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":[0.00019857427,0.0001202589,0.0017161866,0.000059733047,0.000025686799,0.000093767296,0.00005504914,0.9714329,0.003778058,0.009193079,0.0004316826,0.012895045],"study_design_scores_gemma":[0.000018366178,0.00010261911,0.00041773575,0.0000064800392,0.000010851993,0.00001946116,0.000019524294,0.9963314,0.0007087157,0.0022199035,0.0001378261,0.0000071822506],"about_ca_topic_score_codex":0.0033308798,"about_ca_topic_score_gemma":0.0022068152,"teacher_disagreement_score":0.0033308798,"about_ca_system_score_codex":0.0011975738,"about_ca_system_score_gemma":0.0011977262,"threshold_uncertainty_score":0.011544108},"labels":[],"label_agreement":null},{"id":"W1966322892","doi":"10.1057/palgrave.jors.2601363","title":"An automated surface surveillance system","year":2002,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Department of National Defence; University of Ottawa","funders":"","keywords":"Computer science; Information system; Operations research; Engineering","score_opus":0.0663606705683462,"score_gpt":0.3445808029151294,"score_spread":0.27822013234678317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966322892","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":[0.07348606,0.0006237515,0.6680722,0.0010035624,0.00036775693,0.0012800338,0.00512298,0.16202153,0.08802216],"genre_scores_gemma":[0.634149,0.0007695271,0.30502665,0.0005582764,0.00019357895,0.000685293,0.009293195,0.0021025056,0.047221895],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910897,0.00006187182,0.000032631535,0.0001857117,0.00049334986,0.00011747379],"domain_scores_gemma":[0.99840695,0.00020064277,0.000074663905,0.00026313972,0.0009458104,0.0001087838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005211994,0.00083850423,0.00080669683,0.0016156151,0.0012721749,0.001996156,0.0014851204,0.00072298833,0.014392687],"category_scores_gemma":[0.0014457874,0.0003199781,0.00036724523,0.00097174273,0.00059113256,0.0012150424,0.0011132371,0.00052846374,0.005717349],"study_design_candidate":"bench_or_experimental","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":[0.00076022284,0.00027287425,0.008043291,0.0002732314,0.00008734724,0.00074105867,0.00063806656,0.052104212,0.070301816,0.011609328,0.11214918,0.7430194],"study_design_scores_gemma":[0.00018855698,0.00035810538,0.007999416,0.00010742414,0.000103078695,0.00056495366,0.00042031068,0.6013262,0.04810632,0.005486976,0.3351827,0.00015592735],"about_ca_topic_score_codex":0.07748716,"about_ca_topic_score_gemma":0.039891753,"teacher_disagreement_score":0.07748716,"about_ca_system_score_codex":0.0019471871,"about_ca_system_score_gemma":0.003322385,"threshold_uncertainty_score":0.15407228},"labels":[],"label_agreement":null},{"id":"W1969787279","doi":"10.1057/jors.2013.114","title":"A comparison of several enumerative algorithms for Sudoku","year":2013,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université Laval","funders":"Max-Planck-Gesellschaft","keywords":"Backtracking; Integer programming; Grid; Algorithm; Integer (computer science); Benchmark (surveying); Computer science; Set (abstract data type); Constraint (computer-aided design); Linear programming; Mathematics; Column (typography); Mathematical optimization","score_opus":0.09510289117562633,"score_gpt":0.40199805820218587,"score_spread":0.30689516702655956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969787279","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":[0.15192892,0.001971916,0.81091416,0.0007736043,0.00024271237,0.00043821754,0.0005636188,0.0058432072,0.02732369],"genre_scores_gemma":[0.26481184,0.0006497468,0.72783226,0.00023147515,0.000051999843,0.00026836523,0.0009240044,0.0004991288,0.004731176],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981304,0.0006399908,0.00011914572,0.00029549855,0.00043895745,0.00037607804],"domain_scores_gemma":[0.9927879,0.0043305075,0.00039351362,0.0015658273,0.0006446041,0.00027760377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019242595,0.001126178,0.0014578841,0.0021500252,0.0017499394,0.0017986952,0.0025930824,0.0018184936,0.0061232075],"category_scores_gemma":[0.009974643,0.000481582,0.0010659914,0.003933654,0.00087822735,0.0025581561,0.0017987167,0.0014925963,0.0011906248],"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":[0.0008601913,0.00070368714,0.0021476652,0.0004082401,0.00012603475,0.000102973856,0.0002720874,0.4184105,0.003653448,0.05854935,0.009488597,0.5052772],"study_design_scores_gemma":[0.000121693025,0.000083814455,0.00044222688,0.000031179676,0.000033044013,0.000071882954,0.00011113793,0.97356117,0.0018768967,0.020664431,0.002984276,0.000018263141],"about_ca_topic_score_codex":0.013422533,"about_ca_topic_score_gemma":0.018746391,"teacher_disagreement_score":0.013422533,"about_ca_system_score_codex":0.0028505153,"about_ca_system_score_gemma":0.0061239013,"threshold_uncertainty_score":0.026688755},"labels":[],"label_agreement":null},{"id":"W1981300442","doi":"10.1057/jors.2010.173","title":"Optimal inspection intervals for safety systems with partial inspections","year":2010,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"IEC 61508; Warranty; Reliability engineering; Safety instrumented system; Reliability (semiconductor); Computer science; Downtime; Functional safety; Purchasing; Risk analysis (engineering); System safety; Work (physics); Operations research; Operations management; Work in process; Engineering; Business","score_opus":0.025236050826913263,"score_gpt":0.309776259610299,"score_spread":0.2845402087833857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981300442","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":[0.18150534,0.000611419,0.8130321,0.0002572961,0.000025610572,0.00008720455,0.00015922872,0.00036973058,0.003952091],"genre_scores_gemma":[0.9714807,0.00020619013,0.026635682,0.000026248805,0.000012799174,0.00007036163,0.00009728712,0.00005593223,0.0014145875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917173,0.00025205125,0.000033441924,0.0001654688,0.0001736367,0.00020358522],"domain_scores_gemma":[0.997029,0.0017795084,0.0005681931,0.0001338357,0.00031693515,0.00017239472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013421554,0.00097165705,0.0012568568,0.0011023234,0.00036200118,0.0011690658,0.0008185371,0.0009114232,0.0018513262],"category_scores_gemma":[0.0053655272,0.0008004397,0.001137196,0.00047461785,0.0008153738,0.0008018608,0.0009656155,0.0010649515,0.00018214574],"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":[0.000087915025,0.00002828479,0.00040089668,0.000055272456,0.00001662241,0.000025768482,0.000047479774,0.98813874,0.0017282118,0.0039963876,0.00015807705,0.0053163795],"study_design_scores_gemma":[0.0000061262367,0.000063012914,0.00021873871,0.000009327811,0.0000108114755,0.000010448495,0.000015030345,0.9962,0.00042988354,0.0029174106,0.00011397364,0.0000051660013],"about_ca_topic_score_codex":0.0066737086,"about_ca_topic_score_gemma":0.0032739036,"teacher_disagreement_score":0.0066737086,"about_ca_system_score_codex":0.0014542,"about_ca_system_score_gemma":0.0015257493,"threshold_uncertainty_score":0.013269722},"labels":[],"label_agreement":null},{"id":"W1987070476","doi":"10.1057/palgrave.jors.2601894","title":"Incorporating operations research techniques to evaluate information systems impact on healthcare","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Hospice Palliative Care Association; Home and Community Care Support Services; Statistics Canada; University of Toronto","funders":"","keywords":"Information system; Health care; Information technology; Computer science; Project management; Operations research; Information and Communications Technology; Scheduling (production processes); Purchasing; Healthcare system; Management science; Risk analysis (engineering); Operations management; Systems engineering; Business; Engineering; Economics","score_opus":0.24612224094520702,"score_gpt":0.48421707755483506,"score_spread":0.23809483660962805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987070476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52246046,0.004093731,0.4256481,0.004250527,0.0006010861,0.0028212697,0.0010352032,0.00037371562,0.03871594],"genre_scores_gemma":[0.94338727,0.0007960668,0.05429208,0.00010914548,0.00010214084,0.00075554004,0.00021354003,0.000020859405,0.0003234591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.8839761,0.10418753,0.0024699164,0.0013359438,0.006244864,0.0017856243],"domain_scores_gemma":[0.6142594,0.36397406,0.0089787515,0.0034874962,0.007859715,0.0014405322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08848932,0.0017809744,0.0016477165,0.008610824,0.0009978286,0.0065670395,0.0013944494,0.0016448502,0.00433296],"category_scores_gemma":[0.1629844,0.0005719976,0.0017200682,0.008849734,0.0026103535,0.0054823235,0.0024756957,0.0028984067,0.00025408517],"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":[0.0014528794,0.0018062145,0.05848271,0.0014260276,0.002263996,0.00027812566,0.0009281577,0.6786305,0.00080730114,0.14125048,0.002231791,0.11044184],"study_design_scores_gemma":[0.00018192842,0.0023492193,0.0075736237,0.00026590485,0.0002992829,0.000037688264,0.0016548398,0.9372701,0.00083600916,0.048007477,0.0014690417,0.000054832966],"about_ca_topic_score_codex":0.006348263,"about_ca_topic_score_gemma":0.0028379422,"teacher_disagreement_score":0.08848932,"about_ca_system_score_codex":0.0060785995,"about_ca_system_score_gemma":0.0059563317,"threshold_uncertainty_score":0.46798182},"labels":[],"label_agreement":null},{"id":"W1987229601","doi":"10.1057/palgrave.jors.2601742","title":"Minisum collection depots location problem with multiple facilities on a network","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lagrangian relaxation; Computer science; Facility location problem; Service (business); Set (abstract data type); Tree network; Mathematical optimization; Purchasing; Operations research; Node (physics); Network planning and design; Relaxation (psychology); Tree (set theory); Branch and bound; Flow network; Computer network; Mathematics; Algorithm; Operations management; Engineering","score_opus":0.05802353771575256,"score_gpt":0.29560488966094006,"score_spread":0.2375813519451875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987229601","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":[0.4031298,0.0025269317,0.5608447,0.0024631,0.00020874054,0.0004635057,0.0019563728,0.0005922415,0.027814588],"genre_scores_gemma":[0.8118283,0.0016910707,0.16294843,0.00023064873,0.0001926885,0.0004068392,0.0012936674,0.00016598673,0.02124237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999201,0.00030340932,0.000043167656,0.00014981895,0.00009812772,0.00020454402],"domain_scores_gemma":[0.99867827,0.00081201905,0.00017806314,0.00007867683,0.00009552418,0.00015747458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014253707,0.0015871638,0.002168544,0.0014200461,0.0015645459,0.0021449479,0.0025176806,0.0026030676,0.008468098],"category_scores_gemma":[0.002771593,0.0011620707,0.00097594404,0.003513304,0.0010234285,0.0035152095,0.0022461014,0.001067199,0.0007928375],"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":[0.00059513864,0.0002133792,0.0013509524,0.00046356383,0.000117298994,0.00074352254,0.00020046193,0.8987488,0.0021618917,0.050329484,0.0063561206,0.038719375],"study_design_scores_gemma":[0.00013049475,0.00020646115,0.00078982237,0.000038369155,0.00007099885,0.00047930464,0.0003254364,0.9488836,0.0015656279,0.041591972,0.0058858856,0.000032141343],"about_ca_topic_score_codex":0.0055130273,"about_ca_topic_score_gemma":0.0051781456,"teacher_disagreement_score":0.008468098,"about_ca_system_score_codex":0.0018418132,"about_ca_system_score_gemma":0.0010204561,"threshold_uncertainty_score":0.028328598},"labels":[],"label_agreement":null},{"id":"W1989080137","doi":"10.1057/palgrave.jors.2602305","title":"Solving school bus routing problems through integer programming","year":2006,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Vehicle routing problem; Integer programming; Routing (electronic design automation); Mathematical optimization; Purchasing; Computer science; Integer (computer science); Linear programming; Scheduling (production processes); Operations research; Mathematics; Engineering; Computer network; Operations management","score_opus":0.05082829012856907,"score_gpt":0.35152154272370767,"score_spread":0.30069325259513857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989080137","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":[0.0061623207,0.00019427882,0.98770124,0.00011785449,0.00002484955,0.00004604921,0.000059774236,0.00019301802,0.005500565],"genre_scores_gemma":[0.14045927,0.000946708,0.85406303,0.00008534278,0.00006590353,0.00027309608,0.0003076238,0.00012717528,0.0036719458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934715,0.0002668391,0.00003255103,0.00009502808,0.00016814414,0.000090346344],"domain_scores_gemma":[0.9994155,0.0003970576,0.000068111185,0.000040135466,0.00006343856,0.000015729736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009196334,0.001096059,0.0007960545,0.0006952927,0.0005253234,0.0014186794,0.00095159403,0.0009488265,0.0050952043],"category_scores_gemma":[0.0019754178,0.0005443497,0.00070729817,0.0011205944,0.0005000112,0.0014325414,0.00075368746,0.001202763,0.0007903727],"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":[0.000032968877,0.00007501661,0.00028702748,0.00018127939,0.000027895969,0.0000634731,0.00007347331,0.90599746,0.000888486,0.02931623,0.0013113127,0.06174548],"study_design_scores_gemma":[0.000016063646,0.000031621563,0.0000558335,0.000023533328,0.000009431127,0.000029635026,0.00006918281,0.98078567,0.00052680547,0.014858069,0.003587694,0.000006531642],"about_ca_topic_score_codex":0.0030735005,"about_ca_topic_score_gemma":0.0039029578,"teacher_disagreement_score":0.0050952043,"about_ca_system_score_codex":0.00051374,"about_ca_system_score_gemma":0.0012263522,"threshold_uncertainty_score":0.0170452},"labels":[],"label_agreement":null},{"id":"W1989455494","doi":"10.1057/palgrave.jors.2602471","title":"A finite horizon model for repairable systems with repair restrictions","year":2007,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Component (thermodynamics); Operations research; Time horizon; Computer science; Purchasing; Function (biology); Reliability engineering; Engineering; Mathematical optimization; Operations management; Mathematics","score_opus":0.045504795346182736,"score_gpt":0.31273260420822396,"score_spread":0.2672278088620412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989455494","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":[0.18399242,0.0011663948,0.7945525,0.0020137846,0.00016093285,0.00018958889,0.0019018386,0.00040734909,0.015615267],"genre_scores_gemma":[0.9654427,0.00047596986,0.021786077,0.00012730091,0.000072566465,0.0002633074,0.00055145164,0.000038403457,0.01124223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980446,0.0008252892,0.0000745154,0.00037022395,0.00032972347,0.00035570507],"domain_scores_gemma":[0.9948014,0.0037452986,0.0007060998,0.000160405,0.00027042272,0.0003164153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034070069,0.0011279925,0.0022105144,0.001004455,0.00068508706,0.0027124367,0.0029370065,0.0026003579,0.009410772],"category_scores_gemma":[0.0064168535,0.0010763699,0.0010815411,0.0010899019,0.0018479977,0.0026976115,0.0010300684,0.0031927456,0.0005774502],"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":[0.0000478447,0.000041234365,0.00018096947,0.000029607747,0.000023149603,0.00008677331,0.000030880372,0.9699412,0.00027104007,0.028087221,0.00023448489,0.0010257498],"study_design_scores_gemma":[0.000025090327,0.000025731813,0.00011176623,0.000007213283,0.000009477866,0.000012944236,0.000012218665,0.9885212,0.00007951546,0.010881399,0.0003025151,0.000010991477],"about_ca_topic_score_codex":0.020281339,"about_ca_topic_score_gemma":0.011409117,"teacher_disagreement_score":0.020281339,"about_ca_system_score_codex":0.0040544844,"about_ca_system_score_gemma":0.0020414246,"threshold_uncertainty_score":0.040326595},"labels":[],"label_agreement":null},{"id":"W1995340813","doi":"10.1057/jors.2013.170","title":"A column generation algorithm for tactical timber transportation planning","year":2014,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Column generation; Operations research; Truck; Computer science; Time horizon; Scheduling (production processes); Flow network; Heuristics; Engineering; Operations management; Economics; Finance; Mathematical optimization","score_opus":0.08738142139463055,"score_gpt":0.39749695608852875,"score_spread":0.3101155346938982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995340813","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":[0.0049612685,0.00014396186,0.9913482,0.00009325731,0.000030339717,0.00009482658,0.00016270661,0.00044650416,0.002718888],"genre_scores_gemma":[0.14350581,0.00020306192,0.85165757,0.0001348966,0.000034833218,0.0005649158,0.0006689841,0.00021777058,0.0030122178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996382,0.00013984197,0.000015737758,0.00005492577,0.000090172325,0.00006110396],"domain_scores_gemma":[0.9987783,0.00089794706,0.000075887874,0.000054162567,0.00014519876,0.000048547212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007968415,0.0009855701,0.0008224992,0.0008333057,0.00060117664,0.0009002078,0.0011659508,0.0009403707,0.006897708],"category_scores_gemma":[0.0018538003,0.0006640146,0.0007649193,0.0015288739,0.000605389,0.0008270075,0.0009443194,0.0013594552,0.0010485417],"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":[0.000048924638,0.00007248308,0.00028092926,0.000076590906,0.000022754564,0.000055524964,0.00004656194,0.9142559,0.0007060022,0.010123562,0.0028598437,0.07145092],"study_design_scores_gemma":[0.000013366127,0.000017634575,0.000026890337,0.0000048524043,0.000003514341,0.000008007109,0.000006943606,0.99581844,0.00014935122,0.0032802543,0.00066712266,0.0000037024265],"about_ca_topic_score_codex":0.013395831,"about_ca_topic_score_gemma":0.015328448,"teacher_disagreement_score":0.013395831,"about_ca_system_score_codex":0.0009655926,"about_ca_system_score_gemma":0.0014766699,"threshold_uncertainty_score":0.026635766},"labels":[],"label_agreement":null},{"id":"W1999614211","doi":"10.1057/palgrave.jors.2601590","title":"Exact solution of the generalized routing problem through graph transformations","year":2003,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Travelling salesman problem; Graph traversal; Vehicle routing problem; Mathematical optimization; Computer science; Graph; Tree traversal; Scheduling (production processes); Routing (electronic design automation); Mathematics; Combinatorics; Theoretical computer science; Algorithm","score_opus":0.06518996431258268,"score_gpt":0.35665408507138946,"score_spread":0.2914641207588068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999614211","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":[0.044322144,0.0002476201,0.9429332,0.0002807496,0.00005504613,0.000050255814,0.000092308794,0.00049875013,0.01151998],"genre_scores_gemma":[0.5762164,0.0005155811,0.41353214,0.00011730242,0.00005846672,0.00015356552,0.00030056294,0.00027358346,0.008832385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996909,0.00010114535,0.000008322208,0.00006710351,0.00008553711,0.00004692092],"domain_scores_gemma":[0.99973685,0.0001324936,0.000026461346,0.00006755763,0.000026360998,0.0000103209895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036138398,0.0006988998,0.0007405144,0.00037310107,0.00033212613,0.00072362385,0.0007053256,0.0007254349,0.004129132],"category_scores_gemma":[0.0016234183,0.00030557957,0.0005780058,0.0006636704,0.00085603073,0.0014689127,0.0011268895,0.0010331539,0.0005257219],"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":[0.000052629402,0.00004027178,0.00016577539,0.00006957384,0.000015232344,0.000098829216,0.00006990559,0.8443411,0.0023800812,0.08112227,0.0023000264,0.069344394],"study_design_scores_gemma":[0.00002394017,0.000020352862,0.00006956341,0.000005424964,0.0000048199386,0.000035765548,0.000030510111,0.8983857,0.00065891474,0.098791696,0.0019686865,0.0000046195796],"about_ca_topic_score_codex":0.0034145974,"about_ca_topic_score_gemma":0.0036673518,"teacher_disagreement_score":0.004129132,"about_ca_system_score_codex":0.0005866253,"about_ca_system_score_gemma":0.0009912966,"threshold_uncertainty_score":0.013813376},"labels":[],"label_agreement":null},{"id":"W2000827343","doi":"10.1057/palgrave.jors.2602398","title":"The multiple location of transfer points","year":2007,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Facility location problem; 1-center problem; Transfer (computing); Computer science; Point (geometry); Operations research; Minimax; Set (abstract data type); Location model; Scheduling (production processes); Mathematical optimization; Mathematics","score_opus":0.07398700312680562,"score_gpt":0.33751123393688454,"score_spread":0.2635242308100789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000827343","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":[0.13147199,0.0017233029,0.84836125,0.0024605836,0.00024471263,0.00013181279,0.00046530683,0.00021257394,0.014928394],"genre_scores_gemma":[0.911907,0.0016892456,0.067406006,0.00018897887,0.00023499408,0.00016788088,0.0003061525,0.00008111874,0.01801869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981653,0.0005688442,0.00008259594,0.00061771483,0.00028854702,0.000277054],"domain_scores_gemma":[0.9965229,0.0017439262,0.000829394,0.0003329008,0.00032451007,0.0002463136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00198411,0.0013969224,0.0017669668,0.0010274501,0.0015023435,0.00323413,0.0040536546,0.0036701877,0.011586523],"category_scores_gemma":[0.008730487,0.0011584818,0.0018187809,0.0021975355,0.0023393144,0.008792272,0.0035974034,0.0028005408,0.0014801212],"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":[0.00034272767,0.00015481809,0.0036912118,0.0002996951,0.00009410022,0.0014652049,0.00028423313,0.7338717,0.0015667576,0.23403639,0.0028552266,0.021337926],"study_design_scores_gemma":[0.00010776445,0.00035020427,0.0011921357,0.000077784694,0.00009209006,0.0010110073,0.00050538726,0.8192278,0.0017798576,0.16872914,0.006840991,0.000085841384],"about_ca_topic_score_codex":0.0026232593,"about_ca_topic_score_gemma":0.0017261598,"teacher_disagreement_score":0.011586523,"about_ca_system_score_codex":0.002079944,"about_ca_system_score_gemma":0.001151399,"threshold_uncertainty_score":0.03876078},"labels":[],"label_agreement":null},{"id":"W2010499157","doi":"10.1057/jors.2008.144","title":"Enterprise risk management: coping with model risk in a large bank","year":2009,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Risk management; Coping (psychology); Project management; Enterprise risk management; Business; Risk analysis (engineering); Computer science; Economics; Finance; Management; Psychology","score_opus":0.0387498835096953,"score_gpt":0.30276072157877976,"score_spread":0.26401083806908443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010499157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91312546,0.0000958827,0.07946669,0.0017778771,0.000021217631,0.00009649198,0.000077299155,0.00015871681,0.0051803016],"genre_scores_gemma":[0.98018,0.0000535619,0.018560497,0.000051991217,0.000010953498,0.00003962272,0.00004583962,0.000016199418,0.0010413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99821067,0.0013606705,0.000048720995,0.0001304833,0.00014828368,0.0001012525],"domain_scores_gemma":[0.98968023,0.008149672,0.0007990804,0.00043286604,0.00057469524,0.00036350216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059131794,0.00044190284,0.0003921601,0.00041403636,0.0007436844,0.0022163813,0.00074739737,0.0009900045,0.0017557007],"category_scores_gemma":[0.016493721,0.00019948436,0.00027424775,0.0005329052,0.0010017615,0.0020148666,0.0015464659,0.0012094445,0.00018658319],"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":[0.0012164688,0.0011614236,0.085410066,0.00008299952,0.00011484253,0.00067882764,0.0037653963,0.7577574,0.0029768008,0.03239434,0.004404344,0.1100371],"study_design_scores_gemma":[0.00006069706,0.0002876502,0.008722781,0.000025823472,0.000034031633,0.000058271118,0.00079581613,0.96997064,0.001459306,0.017516507,0.001032246,0.00003619285],"about_ca_topic_score_codex":0.01161975,"about_ca_topic_score_gemma":0.008221221,"teacher_disagreement_score":0.01161975,"about_ca_system_score_codex":0.0015373271,"about_ca_system_score_gemma":0.0018864431,"threshold_uncertainty_score":0.031272292},"labels":[],"label_agreement":null},{"id":"W2012576518","doi":"10.1057/palgrave.jors.2601622","title":"Obituary Stafford Beer","year":2003,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Military History and Strategy","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Liverpool John Moores University; Royal Society","keywords":"Obituary; Operations research; Management; Computer science; Engineering; Philosophy; Economics; Theology","score_opus":0.12875391369534012,"score_gpt":0.425615443532944,"score_spread":0.2968615298376039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012576518","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00077959016,0.041048456,0.00056978647,0.2750872,0.29776385,0.00007191228,0.001040156,0.00073218014,0.3829069],"genre_scores_gemma":[0.0037565927,0.006662483,0.00014785677,0.03654456,0.012319342,0.000027462751,0.00020262988,0.00029338247,0.9400457],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918157,0.0001044492,0.00003653771,0.00012815143,0.00042821554,0.00012100662],"domain_scores_gemma":[0.9977946,0.0004421359,0.00010245764,0.00010856623,0.001236575,0.000315664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093426224,0.00068913953,0.0006030946,0.00090618315,0.003331339,0.0034760335,0.00080753287,0.0025776878,0.16474645],"category_scores_gemma":[0.007174042,0.0003805025,0.00029055448,0.0006883948,0.00078278536,0.0018037998,0.0016321399,0.004946528,0.08705275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005450938,0.0000013918587,0.00001005208,0.000011756859,2.8671917e-7,0.000015493426,0.000015342874,0.000004382488,0.000013709526,0.00066965347,0.9962387,0.003013754],"study_design_scores_gemma":[9.4712385e-7,0.0000017078398,0.00005354298,0.000030504756,3.3789428e-7,0.000022248798,0.00003946438,0.0000041796598,0.000021475655,0.00014019321,0.9996834,0.0000020644416],"about_ca_topic_score_codex":0.018973785,"about_ca_topic_score_gemma":0.030371197,"teacher_disagreement_score":0.16474645,"about_ca_system_score_codex":0.0020096037,"about_ca_system_score_gemma":0.0017969342,"threshold_uncertainty_score":0.5511318},"labels":[],"label_agreement":null},{"id":"W2015416155","doi":"10.1057/jors.2009.150","title":"An evaluation of the applicability of system dynamics to patient flow modelling","year":2009,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Discrete event simulation; Perspective (graphical); Project management; System dynamics; Operations research; Purchasing; Computer science; Operations management; Resource (disambiguation); Health care; Management science; Process management; Simulation; Business; Systems engineering; Engineering; Economics","score_opus":0.2285444489794828,"score_gpt":0.5310893255004253,"score_spread":0.30254487652094253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015416155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7808865,0.00038525346,0.19654776,0.0015820354,0.00016486508,0.00069700665,0.00055223046,0.00049656327,0.018687867],"genre_scores_gemma":[0.97599095,0.00012267401,0.023178693,0.00003381959,0.000010969618,0.00011489863,0.00009129704,0.000014590527,0.00044211166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99503326,0.0037990334,0.00020518723,0.00020819159,0.0006167228,0.00013755927],"domain_scores_gemma":[0.96768004,0.027529288,0.0008270593,0.0011943026,0.002526092,0.00024320556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007876345,0.00058978784,0.00052928977,0.0010277403,0.00045966837,0.0015489166,0.0008932912,0.0009124706,0.0024413515],"category_scores_gemma":[0.028108729,0.0003522082,0.0007004731,0.000879869,0.0006812896,0.0015453288,0.0012841613,0.001010453,0.00019190536],"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":[0.00031405268,0.00017308786,0.0069482303,0.00016865972,0.00004978194,0.00006171643,0.00018885321,0.9682767,0.0011237534,0.0072153965,0.00021133578,0.015268514],"study_design_scores_gemma":[0.000026974567,0.00019672659,0.0007115146,0.000024921,0.0000089501955,0.000009938562,0.00009972527,0.9965323,0.00045889532,0.0014419733,0.0004804556,0.0000075301823],"about_ca_topic_score_codex":0.014990423,"about_ca_topic_score_gemma":0.0040208506,"teacher_disagreement_score":0.014990423,"about_ca_system_score_codex":0.0019525663,"about_ca_system_score_gemma":0.0016439721,"threshold_uncertainty_score":0.041654646},"labels":[],"label_agreement":null},{"id":"W2023345879","doi":"10.1057/palgrave.jors.2601261","title":"Optimal component replacement decisions using vibration monitoring and the proportional-hazards model","year":2002,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Weibull distribution; Context (archaeology); Purchasing; Computer science; Preventive maintenance; Reliability engineering; Operations research; Operations management; Engineering; Statistics; Mathematics","score_opus":0.07724871446964189,"score_gpt":0.3347167128229625,"score_spread":0.2574679983533206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023345879","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":[0.21573502,0.00047968456,0.780016,0.0003872542,0.000033023945,0.00017564523,0.00010157929,0.0002091316,0.0028627722],"genre_scores_gemma":[0.970414,0.00013925959,0.027996074,0.000026534493,0.000013630381,0.000073021205,0.000045413854,0.000015966,0.0012761428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873346,0.0006355959,0.0000501208,0.00017365903,0.00022696977,0.00018018547],"domain_scores_gemma":[0.99660444,0.0028192694,0.00024769155,0.00008721566,0.00014408822,0.00009729889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033525384,0.00092427374,0.0012646309,0.00094859104,0.00039124803,0.000934369,0.0011545,0.0010733666,0.0018990339],"category_scores_gemma":[0.008140991,0.00071698596,0.00067972695,0.00044526893,0.0007623669,0.0010116368,0.00076221075,0.0008712922,0.00016618165],"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":[0.00009207574,0.000028528902,0.0005748934,0.000018741408,0.000019406416,0.000042643882,0.000023633185,0.9889438,0.00032512916,0.0023143655,0.000094727315,0.007522109],"study_design_scores_gemma":[0.000020778907,0.00008160292,0.0002415632,0.000003313562,0.0000139019685,0.000017246817,0.000013032568,0.9958585,0.0001916262,0.0034526072,0.00009865849,0.000007108975],"about_ca_topic_score_codex":0.0046951557,"about_ca_topic_score_gemma":0.0034495362,"teacher_disagreement_score":0.0046951557,"about_ca_system_score_codex":0.0009161854,"about_ca_system_score_gemma":0.0013429455,"threshold_uncertainty_score":0.017730117},"labels":[],"label_agreement":null},{"id":"W2023863254","doi":"10.1057/palgrave.jors.2602469","title":"A tabu search heuristic for a routing problem arising in servicing of offshore oil and gas platforms","year":2007,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tabu search; Heuristics; Pickup; Computer science; Subsea; Vehicle routing problem; Operations research; Submarine pipeline; Heuristic; Routing (electronic design automation); Marine engineering; Engineering; Algorithm; Computer network; Operating system","score_opus":0.055558270644770216,"score_gpt":0.36890622218435587,"score_spread":0.31334795153958567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023863254","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":[0.15839358,0.0027621407,0.81236273,0.00085338694,0.00021017336,0.00078912673,0.0007882249,0.002134132,0.021706494],"genre_scores_gemma":[0.34695217,0.0010164498,0.6443686,0.00028848325,0.000047705398,0.0009031147,0.0008426729,0.0003063853,0.00527451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933773,0.00040562492,0.000017941773,0.00006240659,0.000073697905,0.00010249072],"domain_scores_gemma":[0.9982943,0.0013074767,0.0001251246,0.000068217865,0.00013866975,0.00006626446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012852858,0.00080958114,0.0010049576,0.0014694576,0.0014558323,0.0015093065,0.0014461956,0.0021136869,0.0064756237],"category_scores_gemma":[0.0037964066,0.0007738604,0.00075916725,0.0027223974,0.0010997782,0.00102402,0.00076697144,0.0008601959,0.0009771897],"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":[0.00017717265,0.00018653258,0.0006552079,0.0002026662,0.000049363938,0.00015449132,0.00021172134,0.89147,0.0010165493,0.01161812,0.0045196926,0.08973843],"study_design_scores_gemma":[0.0001042839,0.00018073196,0.0002661378,0.0000536999,0.000035722787,0.00008502536,0.000195307,0.9878734,0.00080494443,0.0066642156,0.00371713,0.000019471474],"about_ca_topic_score_codex":0.008692102,"about_ca_topic_score_gemma":0.009605636,"teacher_disagreement_score":0.008692102,"about_ca_system_score_codex":0.0015862823,"about_ca_system_score_gemma":0.0020699587,"threshold_uncertainty_score":0.02166313},"labels":[],"label_agreement":null},{"id":"W2023870045","doi":"10.1057/jors.2013.148","title":"A simulation case study to improve staffing decisions at mass immunization clinics for pandemic influenza","year":2013,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Staffing; Pandemic; Vaccination; Immunization; Pandemic influenza; Discrete event simulation; Medicine; Influenza pandemic; Transmission (telecommunications); Medical emergency; Environmental health; Business; Operations management; Coronavirus disease 2019 (COVID-19); Computer science; Nursing; Virology; Simulation; Disease; Infectious disease (medical specialty); Economics; Immunology","score_opus":0.2977615324184378,"score_gpt":0.5431305836028207,"score_spread":0.24536905118438296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023870045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769957,0.0001426979,0.012129922,0.00092494127,0.000045126188,0.00041728196,0.0008075675,0.00010245281,0.008434378],"genre_scores_gemma":[0.9854333,0.0000886886,0.01275334,0.00007724403,0.000011382786,0.00018759607,0.0002972338,0.000013728375,0.0011376394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807477,0.0012531888,0.00005530742,0.00012374252,0.00015125926,0.0003417146],"domain_scores_gemma":[0.9843301,0.012121039,0.00069456577,0.00045974192,0.0010365178,0.0013580715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028742328,0.0009961117,0.0006611544,0.0007843774,0.0013523219,0.0013240441,0.0019038772,0.0026319504,0.0042465585],"category_scores_gemma":[0.008111754,0.0005437419,0.00094952685,0.000963961,0.0007438581,0.00085461384,0.0009784992,0.001734019,0.00023065359],"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":[0.00046100613,0.0013589718,0.012154416,0.00006721944,0.000073987234,0.0006704917,0.00023169296,0.97701365,0.00039450242,0.0029358845,0.0012088086,0.0034293586],"study_design_scores_gemma":[0.000411089,0.00063010055,0.0033549962,0.000019940815,0.000041405743,0.00008608877,0.0006688701,0.9921278,0.0004273828,0.0011542825,0.0010455967,0.000032420958],"about_ca_topic_score_codex":0.08772175,"about_ca_topic_score_gemma":0.08249816,"teacher_disagreement_score":0.08772175,"about_ca_system_score_codex":0.0044494774,"about_ca_system_score_gemma":0.004375115,"threshold_uncertainty_score":0.17442232},"labels":[],"label_agreement":null},{"id":"W2023919456","doi":"10.1057/palgrave.jors.2601370","title":"Response to reply to the comments of Ganjavi, Aouni and Wang 2002","year":2002,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Operations research; Computer science; Management science; Management; Sociology; Economics; Mathematics","score_opus":0.39276221393410937,"score_gpt":0.5070218270183282,"score_spread":0.11425961308421884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023919456","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006281427,0.0014533242,0.00029022997,0.87791574,0.11406117,0.000114698174,0.0007920531,0.00019011757,0.004554401],"genre_scores_gemma":[0.006567314,0.0022421647,0.00044501555,0.91135806,0.038126707,0.00034748513,0.0006672245,0.00017864787,0.040067505],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969247,0.0007822857,0.00045808958,0.0002648454,0.0011699244,0.00040019007],"domain_scores_gemma":[0.98231214,0.0058827503,0.0016527376,0.00033978742,0.008263297,0.0015492354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00354633,0.0013166914,0.0012830457,0.001045485,0.0026448232,0.002986666,0.0018413644,0.016114559,0.036794417],"category_scores_gemma":[0.050707296,0.00058917905,0.0010148465,0.0010194548,0.0011622311,0.0019011281,0.0027980397,0.015532262,0.02564945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003871283,0.0000053802187,0.000060069724,0.000047652306,0.0000051920388,0.00007303318,0.000058206086,0.000014318409,0.000057189907,0.00013072163,0.99800557,0.001503934],"study_design_scores_gemma":[0.0000672123,0.000059108253,0.0013724678,0.0003012841,0.000028894283,0.00037220403,0.0009583901,0.00015044256,0.00032482273,0.00068004377,0.9956202,0.00006484668],"about_ca_topic_score_codex":0.005541097,"about_ca_topic_score_gemma":0.004448667,"teacher_disagreement_score":0.036794417,"about_ca_system_score_codex":0.0035686009,"about_ca_system_score_gemma":0.0032390729,"threshold_uncertainty_score":0.12308961},"labels":[],"label_agreement":null},{"id":"W2025851246","doi":"10.1057/jors.2010.178","title":"A spreadsheet decision support optimization model for railcar storage at Canadian Pacific Railway","year":2011,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Canadian Pacific Railway (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Purchasing; Operations research; Decision support system; Product (mathematics); Computer science; Operations management; Business; Engineering","score_opus":0.10633479089231937,"score_gpt":0.3669484108489791,"score_spread":0.26061361995665977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025851246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6681689,0.00036408988,0.2638661,0.00191662,0.000085229425,0.00066289696,0.004170493,0.0011155619,0.05965011],"genre_scores_gemma":[0.9398437,0.00023371998,0.04456657,0.00009478663,0.000013904691,0.00039857064,0.0011610473,0.000060411898,0.013627276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995894,0.00012946234,0.000022684357,0.0000733318,0.00008803207,0.00009709096],"domain_scores_gemma":[0.9985429,0.0008809584,0.00008861138,0.000033122767,0.000359456,0.00009494074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010408434,0.0008817398,0.0010295042,0.0008312141,0.0010865818,0.0022282274,0.0015690969,0.0018748555,0.009625676],"category_scores_gemma":[0.0023158267,0.00078729674,0.0008265454,0.0010794649,0.00067305996,0.0010371751,0.00069387455,0.0011567026,0.00046640018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026602766,0.000014344165,0.00019532834,0.000008553619,0.0000037840257,0.000018289586,0.0000133710855,0.9977729,0.000064854146,0.0006847945,0.00017325656,0.0010239056],"study_design_scores_gemma":[0.000010897041,0.000010957724,0.000073039126,0.0000031743998,0.0000039352253,0.0000016273524,0.000015361533,0.9993926,0.000063560816,0.00022802786,0.00019343726,0.0000032589705],"about_ca_topic_score_codex":0.3649996,"about_ca_topic_score_gemma":0.25446266,"teacher_disagreement_score":0.6350004,"about_ca_system_score_codex":0.0063821673,"about_ca_system_score_gemma":0.007706707,"threshold_uncertainty_score":0.7257501},"labels":[],"label_agreement":null},{"id":"W2027903764","doi":"10.1057/jors.2014.69","title":"Allocating operating funding in the public sector and the newsvendor problem","year":2014,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Newsvendor model; Public sector; Business; Economics; Audit; Government (linguistics); Value (mathematics); Finance; Public economics; Accounting; Marketing; Computer science","score_opus":0.08991959424061807,"score_gpt":0.31525455269580527,"score_spread":0.2253349584551872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027903764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5843338,0.0046197586,0.32271475,0.027173847,0.00022806104,0.00013989978,0.00030746224,0.00050189224,0.05998047],"genre_scores_gemma":[0.97986424,0.0018280102,0.011340392,0.00021842017,0.00017411516,0.00006720988,0.0000488322,0.000060036862,0.006398703],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99666876,0.00177757,0.00018199155,0.00035576106,0.00041035708,0.0006054846],"domain_scores_gemma":[0.96898705,0.023218783,0.004512626,0.0011505699,0.0011089637,0.0010221325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009782065,0.00048435509,0.0014719779,0.0016537934,0.0013815956,0.005523722,0.0013915601,0.00307851,0.0049688322],"category_scores_gemma":[0.02918335,0.00091533415,0.0006856563,0.0021629157,0.0044900533,0.008013066,0.0017580136,0.001959967,0.00042510073],"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":[0.00024671073,0.00009807327,0.0043003424,0.00012076791,0.000066121545,0.0006740725,0.00072990207,0.1487462,0.0003984366,0.7999152,0.005578625,0.039125614],"study_design_scores_gemma":[0.00011074947,0.000050742485,0.0010014224,0.000057960562,0.000040268824,0.00025742507,0.0006942581,0.18666059,0.00040440407,0.80462927,0.006040076,0.000052807827],"about_ca_topic_score_codex":0.004615891,"about_ca_topic_score_gemma":0.0023669638,"teacher_disagreement_score":0.009782065,"about_ca_system_score_codex":0.004156104,"about_ca_system_score_gemma":0.0023303474,"threshold_uncertainty_score":0.051733077},"labels":[],"label_agreement":null},{"id":"W2030906319","doi":"10.1057/palgrave.jors.2602361","title":"Impact of the pheromone trail on the performance of ACO algorithms for solving the<i>car-sequencing</i>problem","year":2008,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"","keywords":"Ant colony optimization algorithms; Computer science; Algorithm; Ant colony; Artificial intelligence; Purchasing; Machine learning; Mathematical optimization; Mathematics; Engineering; Operations management","score_opus":0.10655571609995261,"score_gpt":0.37194488080600396,"score_spread":0.26538916470605134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030906319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95147395,0.0013710784,0.03028176,0.0005480546,0.00011869977,0.00008294534,0.000059760496,0.0005440848,0.015519641],"genre_scores_gemma":[0.9894505,0.0002394085,0.009606509,0.000035330035,0.000013749339,0.00002081147,0.00004248845,0.000037663904,0.00055338995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990476,0.00044418007,0.00007547616,0.00006484912,0.000221965,0.0001458432],"domain_scores_gemma":[0.986388,0.010197734,0.00074240664,0.0006994267,0.0016111387,0.00036118674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028410354,0.0005537529,0.0005275518,0.00089431094,0.00057560304,0.0013001498,0.0006430265,0.0007896846,0.00079774373],"category_scores_gemma":[0.016993375,0.000193845,0.00025866283,0.0006791811,0.0007398813,0.0010321534,0.00042985624,0.00060115405,0.00019707],"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":[0.0010409801,0.00047232787,0.0061708363,0.00016006012,0.0000900724,0.000057282006,0.000087934946,0.90652895,0.0029780057,0.003099579,0.0008284854,0.07848551],"study_design_scores_gemma":[0.0001033791,0.0006631473,0.0015793277,0.000028736922,0.000044862834,0.00005156358,0.000091242,0.9907515,0.005408333,0.00090404955,0.0003588563,0.000014904779],"about_ca_topic_score_codex":0.0036152336,"about_ca_topic_score_gemma":0.002848303,"teacher_disagreement_score":0.0036152336,"about_ca_system_score_codex":0.0006829242,"about_ca_system_score_gemma":0.0012779648,"threshold_uncertainty_score":0.01502502},"labels":[],"label_agreement":null},{"id":"W2032871323","doi":"10.1057/palgrave.jors.2601752","title":"Weight-restricted DEA in action: from expert opinions to mathematical models","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Preference; Computer science; Data envelopment analysis; Operations research; Set (abstract data type); Value (mathematics); Purchasing; Process (computing); Action (physics); Mathematical optimization; Mathematics; Economics; Operations management; Statistics; Machine learning","score_opus":0.3440686376758279,"score_gpt":0.5149145855269718,"score_spread":0.17084594785114388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032871323","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":[0.0068379636,0.00042207094,0.9877221,0.00088265835,0.000037817183,0.00010226203,0.000058607377,0.000039061077,0.0038974325],"genre_scores_gemma":[0.31043458,0.0016212508,0.6841816,0.00036716976,0.00018156003,0.0007410733,0.00023705131,0.000074039126,0.0021616593],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9727561,0.020302087,0.0013318644,0.001554298,0.0035455467,0.0005101255],"domain_scores_gemma":[0.89162606,0.09529336,0.0041398355,0.0038233637,0.0044758576,0.0006414896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.041651435,0.0021232166,0.0028084274,0.0041068858,0.0008984867,0.0051097157,0.0029363362,0.0021313415,0.0034551073],"category_scores_gemma":[0.083697684,0.0011849316,0.0020078784,0.0033044335,0.0037205787,0.0056916657,0.003961732,0.0038259844,0.0005291379],"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":[0.00010409161,0.000109525725,0.0011972139,0.00050909986,0.0003360551,0.00014614651,0.00077933585,0.4511285,0.00041627293,0.46958062,0.0015929509,0.074100144],"study_design_scores_gemma":[0.00003081666,0.000041684878,0.00018261829,0.00015266641,0.000028318305,0.000024461615,0.00017878512,0.5379681,0.0002727186,0.4580329,0.0030592189,0.000027693592],"about_ca_topic_score_codex":0.0040529366,"about_ca_topic_score_gemma":0.0036597925,"teacher_disagreement_score":0.041651435,"about_ca_system_score_codex":0.0036838553,"about_ca_system_score_gemma":0.0033778225,"threshold_uncertainty_score":0.22027653},"labels":[],"label_agreement":null},{"id":"W2035201919","doi":"10.1057/palgrave.jors.2602603","title":"The capacitated team orienteering and profitable tour problems","year":2008,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Polytechnique Montréal","funders":"","keywords":"Orienteering; Computer science; Operations research; Heuristic; Heuristics; Project management; Matching (statistics); The Internet; Purchasing; Operations management; Mathematical optimization; Engineering; Artificial intelligence; Mathematics; World Wide Web","score_opus":0.062302060283768806,"score_gpt":0.32529913499987456,"score_spread":0.2629970747161058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035201919","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":[0.13184996,0.0021319597,0.834808,0.0011683886,0.00022712021,0.0002308661,0.00039556943,0.00013283748,0.029055396],"genre_scores_gemma":[0.8015931,0.0029695595,0.17299592,0.00023827143,0.000289359,0.00045430334,0.00074055063,0.00013091705,0.02058802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919635,0.00033898925,0.000023558943,0.00012905576,0.00015515753,0.00015686749],"domain_scores_gemma":[0.99852246,0.0009657178,0.00017536113,0.000057691686,0.0001041089,0.00017464215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008361601,0.001179815,0.0008008158,0.00054309395,0.0006564119,0.0012575118,0.0013392039,0.001533571,0.0052376213],"category_scores_gemma":[0.0034071542,0.00047507838,0.0008400204,0.0013925955,0.0010977648,0.0019013925,0.0011444237,0.0013339949,0.00038756238],"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":[0.00010777876,0.00009088935,0.0006861738,0.00019685342,0.000059554186,0.0003426053,0.00010920438,0.824893,0.0006689662,0.13632418,0.0048206793,0.031700093],"study_design_scores_gemma":[0.000047263035,0.00008950483,0.0003580784,0.000024950206,0.000019827303,0.00022243157,0.000121340265,0.84561944,0.0004449584,0.14833865,0.004689409,0.000024131426],"about_ca_topic_score_codex":0.0039401054,"about_ca_topic_score_gemma":0.0028343971,"teacher_disagreement_score":0.0052376213,"about_ca_system_score_codex":0.00088490563,"about_ca_system_score_gemma":0.0011475579,"threshold_uncertainty_score":0.01752156},"labels":[],"label_agreement":null},{"id":"W2035305502","doi":"10.1057/jors.2012.111","title":"An interval-coefficient fuzzy binary linear programming, the solution, and its application under uncertainties","year":2012,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Interval (graph theory); Mathematical optimization; Fuzzy logic; Binary number; Mathematics; Linear programming; Fuzzy number; Computer science; Fuzzy set; Applied mathematics; Artificial intelligence","score_opus":0.05726540508139351,"score_gpt":0.3608952675132997,"score_spread":0.3036298624319062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035305502","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":[0.006919087,0.00027748986,0.9885908,0.00024843877,0.000023411993,0.00002079797,0.00002081829,0.000025397389,0.003873692],"genre_scores_gemma":[0.57163084,0.001365025,0.42117086,0.00015028211,0.00011234815,0.00029371242,0.000117264826,0.00005944796,0.005100132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895847,0.00047947295,0.000037777652,0.00014670887,0.00027752147,0.000100120524],"domain_scores_gemma":[0.999041,0.0006058518,0.00010586587,0.000027848871,0.00017680957,0.00004254447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017341479,0.00083333073,0.00091737375,0.0007781309,0.00062435394,0.0015528254,0.0010323491,0.0013103593,0.0016974766],"category_scores_gemma":[0.0050631175,0.00047711426,0.00071510737,0.0014573405,0.0010360127,0.0015171871,0.0013475682,0.0018112315,0.00016334318],"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":[0.000045744855,0.00002206346,0.0002219296,0.00015981757,0.000016710614,0.00007084197,0.00011793744,0.8356401,0.0009949282,0.13621062,0.0010007105,0.025498616],"study_design_scores_gemma":[0.0000069748357,0.000019641548,0.000046361223,0.000018971923,0.000004563669,0.000018770072,0.000022829663,0.9636798,0.00030960716,0.035151783,0.00071347837,0.0000073296483],"about_ca_topic_score_codex":0.00366949,"about_ca_topic_score_gemma":0.0014216994,"teacher_disagreement_score":0.00366949,"about_ca_system_score_codex":0.0011290422,"about_ca_system_score_gemma":0.0014118267,"threshold_uncertainty_score":0.009171188},"labels":[],"label_agreement":null},{"id":"W2035828426","doi":"10.1057/jors.2014.98","title":"An algorithm and upper bounds for the weighted maximal planar graph problem","year":2014,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Heuristics; Integer programming; Planarity testing; Cutting-plane method; Algorithm; Theory of computation; Planar graph; Linear programming; Heuristic; Upper and lower bounds; Constructive; Mathematics; Computer science; Graph; Mathematical optimization; Combinatorics","score_opus":0.022674243508155736,"score_gpt":0.303632595344079,"score_spread":0.28095835183592327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035828426","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":[0.006856166,0.0007283401,0.9756001,0.0007756579,0.00012490686,0.00030131778,0.00031420484,0.00096704264,0.014332188],"genre_scores_gemma":[0.063371666,0.0010665598,0.92922205,0.000353856,0.00016783885,0.0005987473,0.0014601831,0.00046819643,0.0032908653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968401,0.00073263264,0.00015264376,0.00064336066,0.0010341521,0.0005969295],"domain_scores_gemma":[0.99442977,0.0037272498,0.00046009372,0.00063340104,0.0005637804,0.00018568471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002457149,0.0026722827,0.0015789901,0.0025449938,0.0014092764,0.0039117495,0.004552897,0.002442886,0.011187084],"category_scores_gemma":[0.010760817,0.0010995237,0.0024851083,0.0038597372,0.0014548198,0.006963575,0.003457701,0.004729125,0.002673924],"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":[0.00027954922,0.00046818276,0.0008390577,0.00079024764,0.00012663758,0.00024296321,0.0001707363,0.6424007,0.005003035,0.124916896,0.022534827,0.20222719],"study_design_scores_gemma":[0.000090496294,0.00011489156,0.00017873348,0.0000819877,0.000052602747,0.0001893801,0.00007987382,0.8961823,0.002959935,0.08773586,0.012303119,0.000030849245],"about_ca_topic_score_codex":0.0032877924,"about_ca_topic_score_gemma":0.0038219972,"teacher_disagreement_score":0.011187084,"about_ca_system_score_codex":0.0026840868,"about_ca_system_score_gemma":0.0032262744,"threshold_uncertainty_score":0.037424505},"labels":[],"label_agreement":null},{"id":"W2036642374","doi":"10.1057/palgrave.jors.2602526","title":"Modelling and analysis of Canadian Forces strategic lift and pre-positioning options","year":2007,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Lift (data mining); Strategic planning; Operations research; Computer science; Airlift; Engineering; Business; Marketing","score_opus":0.07323123270736108,"score_gpt":0.32877240577378425,"score_spread":0.25554117306642316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036642374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84246904,0.0006339019,0.095420726,0.0008229724,0.000045431534,0.00025463078,0.0013907208,0.00015940222,0.0588032],"genre_scores_gemma":[0.9806403,0.00036322756,0.012488081,0.000027650201,0.000005697068,0.000059058242,0.00028916387,0.00002625116,0.0061005694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995043,0.00008025338,0.000009737242,0.0000428726,0.00015956623,0.00020318915],"domain_scores_gemma":[0.99967754,0.00013398648,0.00004472019,0.000014783638,0.000100648365,0.00002837377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066133874,0.00088974554,0.00053221075,0.00087392126,0.0011472267,0.0013470446,0.0011844288,0.0010474634,0.0024500776],"category_scores_gemma":[0.0011717477,0.00052602764,0.00070793513,0.0009817474,0.00086908706,0.0006224034,0.00047350643,0.0008113895,0.00015388077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013462696,0.000006416653,0.0005369466,0.000009365639,0.0000032073401,0.000034622524,0.000017216324,0.995368,0.00027782295,0.0022688704,0.00014103572,0.0013229939],"study_design_scores_gemma":[0.000007357573,0.000032908756,0.0018734053,0.0000073755014,0.000009777737,0.000016183765,0.00009571631,0.99528474,0.0005205435,0.0009859991,0.0011520799,0.00001400054],"about_ca_topic_score_codex":0.7930561,"about_ca_topic_score_gemma":0.7147457,"teacher_disagreement_score":0.9908277,"about_ca_system_score_codex":0.009172339,"about_ca_system_score_gemma":0.009752723,"threshold_uncertainty_score":0.41632527},"labels":[],"label_agreement":null},{"id":"W2037425183","doi":"10.1057/palgrave.jors.2602356","title":"VLSN search algorithms for partitioning problems using matching neighbourhoods","year":2007,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of New Brunswick","funders":"","keywords":"Neighbourhood (mathematics); Matching (statistics); Computer science; Exponential function; Algorithm; Mathematical optimization; Class (philosophy); Theoretical computer science; Mathematics; Artificial intelligence; Statistics","score_opus":0.14358398482718118,"score_gpt":0.4266171361414274,"score_spread":0.2830331513142462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037425183","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":[0.015649548,0.00019690671,0.98169154,0.00006780369,0.000014992985,0.00006833991,0.000027013562,0.00023919284,0.0020445946],"genre_scores_gemma":[0.33502832,0.00035431096,0.66053796,0.00010744577,0.000036602632,0.00033623877,0.00039605482,0.00017677818,0.0030263178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933356,0.00023143043,0.000046454705,0.00014205802,0.0001754062,0.00007109539],"domain_scores_gemma":[0.998719,0.0008056635,0.00009280008,0.00020369665,0.00013633214,0.000042646472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013704579,0.00047412587,0.0009139982,0.00087253464,0.0005950292,0.00080729544,0.0014790553,0.0008318242,0.0027430465],"category_scores_gemma":[0.0052516526,0.00034835926,0.00069816684,0.0012793349,0.0007123914,0.0024704083,0.002240883,0.00081680104,0.0005987153],"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":[0.00023234155,0.00012935289,0.0013018863,0.0002992029,0.00006412226,0.000109325054,0.0002870413,0.60907906,0.0062735905,0.11004998,0.003553526,0.26862058],"study_design_scores_gemma":[0.00004574965,0.000085414234,0.00019470404,0.000018838356,0.000014344784,0.000095571675,0.0000656239,0.9240645,0.0018680744,0.06958553,0.003950774,0.000010795357],"about_ca_topic_score_codex":0.0010031397,"about_ca_topic_score_gemma":0.0014239197,"teacher_disagreement_score":0.0027430465,"about_ca_system_score_codex":0.000628763,"about_ca_system_score_gemma":0.0005693864,"threshold_uncertainty_score":0.0091763735},"labels":[],"label_agreement":null},{"id":"W2041505992","doi":"10.1057/palgrave.jors.2602040","title":"Implementing the balanced scorecard using the analytic hierarchy process &amp; the analytic network process","year":2005,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Balanced scorecard; Analytic network process; Analytic hierarchy process; Computer science; Performance measurement; Process (computing); Process management; Dependency (UML); Set (abstract data type); Scarcity; Operations research; Risk analysis (engineering); Management science; Business; Engineering; Economics; Artificial intelligence; Marketing","score_opus":0.4029990021949929,"score_gpt":0.5727073674400269,"score_spread":0.16970836524503402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041505992","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":[0.0056404066,0.00019293095,0.9871126,0.00072492735,0.000057583355,0.0005102211,0.000052439093,0.00013438983,0.0055744867],"genre_scores_gemma":[0.06550056,0.00024017265,0.9331109,0.000076483484,0.000028742637,0.00043553713,0.00008205049,0.00002871223,0.000496831],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.94406694,0.03657792,0.0031030793,0.0018205035,0.013689222,0.0007422966],"domain_scores_gemma":[0.9785019,0.012340141,0.002190173,0.0015332684,0.0049915886,0.00044295986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038307283,0.0012741139,0.0013759225,0.005083663,0.0018748402,0.0073803887,0.0018583331,0.0015801145,0.0020432237],"category_scores_gemma":[0.05856464,0.00061702216,0.0008442336,0.0072292173,0.0031546087,0.006749559,0.004358107,0.0022548223,0.00050134485],"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":[0.000107241765,0.00016440124,0.0023335519,0.0006418363,0.00015575188,0.00019589711,0.0023127857,0.08471906,0.0026029872,0.41439828,0.0037180095,0.48865026],"study_design_scores_gemma":[0.00014826383,0.0003702531,0.0017447878,0.0005268431,0.00009225967,0.00012585675,0.0013221179,0.3774578,0.0043699765,0.57992893,0.033760764,0.00015203477],"about_ca_topic_score_codex":0.0041834316,"about_ca_topic_score_gemma":0.0036830434,"teacher_disagreement_score":0.038307283,"about_ca_system_score_codex":0.0040807514,"about_ca_system_score_gemma":0.008445252,"threshold_uncertainty_score":0.2025907},"labels":[],"label_agreement":null},{"id":"W2041693766","doi":"10.1057/jors.2011.134","title":"Automatic aircraft cargo load planning","year":2011,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Fuel efficiency; Purchasing; Pallet; Software; Operations research; Task (project management); Set (abstract data type); Project management; Integer programming; Linear programming; Moment (physics); Mathematical optimization; Industrial engineering; Simulation; Automotive engineering; Systems engineering; Engineering; Operations management; Operating system; Algorithm","score_opus":0.10699615674093656,"score_gpt":0.3363804880498422,"score_spread":0.22938433130890568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041693766","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":[0.03447305,0.00007362868,0.95956135,0.00007338038,0.000017951283,0.000060762002,0.000106508705,0.001374959,0.0042584375],"genre_scores_gemma":[0.5440373,0.0001396431,0.44866064,0.00005087934,0.000027444725,0.00018736561,0.0004128886,0.00040269198,0.0060811033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996731,0.000075614436,0.000011415986,0.00006995167,0.00011317671,0.00005665107],"domain_scores_gemma":[0.9997212,0.00014975878,0.000034847086,0.000039894316,0.000035363657,0.000018857145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034102768,0.0006694704,0.00064254954,0.00032060378,0.00040697577,0.00080444076,0.0008821763,0.00058331486,0.0038414889],"category_scores_gemma":[0.0005959782,0.00049503695,0.0004855597,0.00037231334,0.0004690344,0.0006869318,0.0007727189,0.0006308835,0.00064103625],"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":[0.00011234432,0.00005514538,0.00031950368,0.00008170301,0.000012212569,0.00006338943,0.00006164656,0.92099607,0.008303414,0.004536434,0.0016036173,0.06385464],"study_design_scores_gemma":[0.000009106305,0.000020441252,0.00007914935,0.0000029406795,0.0000029923658,0.000014051693,0.000010781721,0.99571866,0.0019968017,0.0011487042,0.0009927356,0.0000036548415],"about_ca_topic_score_codex":0.0039157737,"about_ca_topic_score_gemma":0.0043824427,"teacher_disagreement_score":0.0039157737,"about_ca_system_score_codex":0.00056598353,"about_ca_system_score_gemma":0.000993387,"threshold_uncertainty_score":0.012851059},"labels":[],"label_agreement":null},{"id":"W2050784217","doi":"10.1057/palgrave.jors.2602574","title":"A patient assignment algorithm for home care services","year":2008,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Workload; Integer programming; Tabu search; Linear programming; Computer science; Algorithm; Mathematical optimization; Heuristic; Heuristics; Nurse scheduling problem; Project management; Operations research; Nursing; Mathematics; Medicine; Job shop scheduling; Economics; Schedule","score_opus":0.2117213361653014,"score_gpt":0.46105186763497386,"score_spread":0.24933053146967246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050784217","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":[0.05126768,0.00021993248,0.9390618,0.00053475844,0.00009296502,0.0003861854,0.00048563848,0.0018975565,0.006053574],"genre_scores_gemma":[0.32551768,0.00015040956,0.66413426,0.00020135009,0.00006171106,0.000429146,0.00093408296,0.00019571565,0.008375606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994832,0.0001866712,0.000024957424,0.0001168757,0.00009571887,0.00009256304],"domain_scores_gemma":[0.9995147,0.00021148424,0.000060068778,0.00002960996,0.000109199755,0.00007507351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007927434,0.0005553849,0.00090772135,0.00097378774,0.0007567602,0.0010567135,0.0013242919,0.00096945954,0.01523626],"category_scores_gemma":[0.0015462502,0.00037274198,0.00048915885,0.001402499,0.00028556178,0.00069796457,0.00081601576,0.000771831,0.001431858],"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":[0.00043962724,0.00049519,0.0017308372,0.00017507002,0.00006513688,0.00012231512,0.00013871717,0.6287328,0.0023264042,0.012241363,0.013832268,0.33970022],"study_design_scores_gemma":[0.0000661815,0.000045397865,0.00022481,0.000006877795,0.000008100175,0.000036962272,0.000029685776,0.9916545,0.00050159387,0.0056769885,0.0017427079,0.0000060672137],"about_ca_topic_score_codex":0.005831001,"about_ca_topic_score_gemma":0.0044425996,"teacher_disagreement_score":0.01523626,"about_ca_system_score_codex":0.0012231237,"about_ca_system_score_gemma":0.0017618915,"threshold_uncertainty_score":0.050970376},"labels":[],"label_agreement":null},{"id":"W2054446414","doi":"10.1057/palgrave.jors.2601440","title":"Using composite moving averages to forecast sales","year":2002,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Moving average; Exponential smoothing; Computer science; Simple (philosophy); Weighted arithmetic mean; Statistics; Operations research; Econometrics; Mathematics; Machine learning","score_opus":0.5716533084416737,"score_gpt":0.5276959159345209,"score_spread":0.043957392507152804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054446414","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":[0.12026528,0.0016589185,0.87256205,0.0002759802,0.00039052663,0.00012685849,0.0007972257,0.0010134747,0.0029096357],"genre_scores_gemma":[0.49544227,0.001317273,0.49886057,0.00007459501,0.00040619876,0.00016407343,0.0013609839,0.00015744605,0.002216481],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873644,0.00045619352,0.000100058765,0.00028904766,0.00034948013,0.000068933274],"domain_scores_gemma":[0.9940906,0.0038160025,0.00059937435,0.0005119963,0.0008540628,0.00012788778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004853606,0.0011560869,0.001284789,0.0035556685,0.00034939012,0.0014482512,0.0008591536,0.0005813939,0.001722058],"category_scores_gemma":[0.015676519,0.00036215963,0.0010751775,0.0038107254,0.00030034964,0.002227391,0.0006789626,0.001238982,0.0005907161],"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":[0.0009039657,0.00014647587,0.031334966,0.00033024148,0.0008340323,0.0001629971,0.00019847938,0.28242254,0.0056425403,0.013040676,0.0052352925,0.65974784],"study_design_scores_gemma":[0.0000351849,0.00023137702,0.012595159,0.000029263485,0.00015312804,0.00007966635,0.000040475643,0.96643186,0.0037800847,0.012491244,0.0040642205,0.00006831128],"about_ca_topic_score_codex":0.0032361571,"about_ca_topic_score_gemma":0.0043133507,"teacher_disagreement_score":0.004853606,"about_ca_system_score_codex":0.00036967825,"about_ca_system_score_gemma":0.0005485705,"threshold_uncertainty_score":0.025668621},"labels":[],"label_agreement":null},{"id":"W2054669984","doi":"10.1057/palgrave.jors.2601420","title":"Some applications of the clustered travelling salesman problem","year":2002,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Travelling salesman problem; Computer science; Vehicle routing problem; Purchasing; Operations research; Scheduling (production processes); Traveling purchaser problem; Lin–Kernighan heuristic; Routing (electronic design automation); Mathematical optimization; Bottleneck traveling salesman problem; Engineering; Operations management; Algorithm; Computer network; Mathematics","score_opus":0.07207568656996226,"score_gpt":0.34042582006238425,"score_spread":0.268350133492422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054669984","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":[0.04179447,0.0022957388,0.91559356,0.0010916267,0.0003042478,0.00013055532,0.00028805382,0.00020147771,0.038300265],"genre_scores_gemma":[0.4529505,0.004462334,0.50324357,0.00072956586,0.0007909241,0.00037175792,0.001008623,0.00040576185,0.036036886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989042,0.00042465306,0.00005168047,0.00021720347,0.00027116487,0.00013109675],"domain_scores_gemma":[0.9982443,0.0011125804,0.00014564382,0.00010881505,0.00029274705,0.000095929725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013920247,0.0009808798,0.0009428747,0.0011370773,0.00125387,0.001179151,0.0026034962,0.0021894784,0.009470618],"category_scores_gemma":[0.004935294,0.00060098874,0.0019023718,0.0037691162,0.0009929532,0.0016275398,0.0013570911,0.0020787576,0.00080529397],"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":[0.00011721163,0.00019263492,0.00054307905,0.00023109006,0.0001322865,0.0003465969,0.0002258217,0.5747966,0.0009009304,0.35871464,0.01186507,0.051934086],"study_design_scores_gemma":[0.00004226606,0.00007072598,0.00032016338,0.000028032797,0.000025291009,0.00015910115,0.00011838501,0.7795323,0.0004177203,0.20610568,0.013150624,0.000029806228],"about_ca_topic_score_codex":0.0068280897,"about_ca_topic_score_gemma":0.0060935006,"teacher_disagreement_score":0.009470618,"about_ca_system_score_codex":0.0017075154,"about_ca_system_score_gemma":0.001099385,"threshold_uncertainty_score":0.031682372},"labels":[],"label_agreement":null},{"id":"W2056251021","doi":"10.1057/palgrave.jors.2601926","title":"Maximizing the value of an Earth observation satellite orbit","year":2005,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Satellite; Computer science; Operations research; Earth observation satellite; Orbit (dynamics); Profit (economics); Earth observation; Tabu search; Remote sensing; Geodesy; Aerospace engineering; Geology; Algorithm; Mathematics; Economics; Engineering","score_opus":0.09892549807221367,"score_gpt":0.36858711387949034,"score_spread":0.26966161580727666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056251021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8442707,0.0011099468,0.12894672,0.0010634526,0.0000689155,0.00014609433,0.00067910796,0.00035683796,0.023358142],"genre_scores_gemma":[0.9741407,0.00018884278,0.022596847,0.000035934332,0.00002023096,0.000032023447,0.00021246263,0.000039214585,0.0027337505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972826,0.00010713678,0.000010718558,0.000043783148,0.000040446743,0.00006969808],"domain_scores_gemma":[0.9989961,0.00066690263,0.00010327786,0.000053754324,0.000081659935,0.00009827335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006428751,0.0005080008,0.0007009325,0.00075421087,0.00037128525,0.0010034221,0.0006008175,0.0007219025,0.0050015487],"category_scores_gemma":[0.0026199678,0.00020560474,0.0002463949,0.0008489742,0.00035748794,0.0011998238,0.00066172396,0.00031011458,0.0003351804],"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":[0.000935501,0.00023193088,0.0038476714,0.00017876261,0.00008893546,0.00018402266,0.00008861856,0.9135075,0.004846556,0.014439712,0.0056609535,0.05598983],"study_design_scores_gemma":[0.00006711267,0.00017609487,0.0013941508,0.000024722896,0.000036958198,0.00007203833,0.00008519632,0.98362064,0.0028547714,0.010230411,0.0014260312,0.000011805938],"about_ca_topic_score_codex":0.0024025273,"about_ca_topic_score_gemma":0.0016788514,"teacher_disagreement_score":0.0050015487,"about_ca_system_score_codex":0.0006961646,"about_ca_system_score_gemma":0.0006873053,"threshold_uncertainty_score":0.016731858},"labels":[],"label_agreement":null},{"id":"W2062240916","doi":"10.1057/palgrave.jors.2601594","title":"A probabilistic one-centre location problem on a network","year":2003,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Probabilistic logic; Facility location problem; Computer science; Mathematical optimization; Scheduling (production processes); Operations research; Applied probability; Mathematics; Statistics; Artificial intelligence","score_opus":0.0849702469264187,"score_gpt":0.3123176196378173,"score_spread":0.2273473727113986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062240916","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":[0.046674054,0.00055094797,0.94602275,0.0010173616,0.0001034192,0.00010931176,0.00029275977,0.00015038512,0.0050790957],"genre_scores_gemma":[0.8062883,0.0011275325,0.17892982,0.00022339019,0.00027966258,0.00030721104,0.0006114156,0.00016184407,0.012070828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971411,0.0012706843,0.00009740514,0.00082184776,0.0003202362,0.0003488136],"domain_scores_gemma":[0.99400914,0.0041737,0.0006700688,0.00025771742,0.0005419223,0.0003475323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003909483,0.0012851285,0.0025869848,0.0010655944,0.0011654877,0.0024780945,0.0029038289,0.0039847335,0.00444515],"category_scores_gemma":[0.010856598,0.0011757901,0.0014691834,0.0022754646,0.0029701472,0.004354577,0.0022889432,0.0021019322,0.00063747034],"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":[0.00019028287,0.000050292772,0.0005643447,0.00014152587,0.00006069053,0.00021007327,0.000102447455,0.897839,0.00057737983,0.09049321,0.0017113931,0.008059325],"study_design_scores_gemma":[0.000051450865,0.0000887348,0.00027813914,0.000016519378,0.000026134598,0.0001185711,0.00008001809,0.90751994,0.00040223563,0.08985374,0.0015220585,0.000042492713],"about_ca_topic_score_codex":0.005653954,"about_ca_topic_score_gemma":0.0038501604,"teacher_disagreement_score":0.005653954,"about_ca_system_score_codex":0.0024033342,"about_ca_system_score_gemma":0.0015280909,"threshold_uncertainty_score":0.0206756},"labels":[],"label_agreement":null},{"id":"W2063602291","doi":"10.1057/jors.2013.149","title":"Queueing Networks: A Fundamental Approach","year":2013,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Queueing theory; Computer science; Operations research; Scheduling (production processes); Project management; Distributed computing; Mathematical optimization; Computer network; Mathematics; Systems engineering; Engineering","score_opus":0.04623458807439799,"score_gpt":0.31629052565665644,"score_spread":0.27005593758225843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063602291","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":[0.007909454,0.06589928,0.80403924,0.03419983,0.004903901,0.00011888889,0.00045263206,0.0002998811,0.08217701],"genre_scores_gemma":[0.6296315,0.114065886,0.1928237,0.008469975,0.02047839,0.0008151716,0.0004895003,0.00025975925,0.03296612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99817395,0.0006855574,0.00007776291,0.00031728306,0.0005940526,0.00015139465],"domain_scores_gemma":[0.9966538,0.0020236606,0.00015633917,0.00030344303,0.00066477165,0.00019797435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027998884,0.0012911636,0.0010858,0.0017968169,0.0015046627,0.0046729604,0.0019629716,0.0027491054,0.0034505446],"category_scores_gemma":[0.007255197,0.00068970356,0.00094379,0.0015760507,0.005594844,0.008949781,0.0023553988,0.0057479627,0.0010294562],"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":[0.0000038655594,0.000011398542,0.00006056009,0.000059268066,0.0000072887165,0.000020177777,0.00007632331,0.005057385,0.00008101672,0.9857832,0.0037550298,0.0050844764],"study_design_scores_gemma":[0.0000035244452,0.0000073625056,0.000035700243,0.00004678735,0.0000047140525,0.000024352557,0.000023656108,0.01173706,0.000040339874,0.97477347,0.013296914,0.00000611114],"about_ca_topic_score_codex":0.003741229,"about_ca_topic_score_gemma":0.0013644625,"teacher_disagreement_score":0.0046729604,"about_ca_system_score_codex":0.004606331,"about_ca_system_score_gemma":0.00300109,"threshold_uncertainty_score":0.033421457},"labels":[],"label_agreement":null},{"id":"W2064908274","doi":"10.1057/jors.2013.106","title":"Health-based pharmaceutical pay-for-performance risk-sharing agreements","year":2013,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Actuarial science; Markov chain; Clinical trial; Risk analysis (engineering); Population; Health care; Business; Marketing; Computer science; Medicine; Economics; Environmental health","score_opus":0.22293858660637894,"score_gpt":0.4309106411635537,"score_spread":0.20797205455717477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064908274","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":[0.27801692,0.0016808793,0.62828666,0.012117862,0.00034097262,0.0014834544,0.0021160622,0.0006509671,0.0753062],"genre_scores_gemma":[0.9768246,0.0003253663,0.01467752,0.00028471637,0.00008738478,0.0002747193,0.00020208814,0.00003184228,0.0072917845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.98347557,0.008212913,0.0007615761,0.0021817037,0.0025356812,0.0028325184],"domain_scores_gemma":[0.95360637,0.03269397,0.0068666195,0.002554806,0.002264929,0.0020132656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024577191,0.0019206164,0.0025096163,0.0012571244,0.0019277637,0.006571956,0.0038889684,0.007366673,0.01447199],"category_scores_gemma":[0.06886635,0.001327131,0.002135834,0.0014731537,0.0040823678,0.007885737,0.0035759758,0.0069027464,0.0016451088],"study_design_candidate":"observational","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":[0.0005106027,0.00027403136,0.0033602829,0.000107370775,0.00008602705,0.00054277154,0.00044904894,0.52815473,0.0008293573,0.44576445,0.0032750159,0.016646322],"study_design_scores_gemma":[0.0003421318,0.00046515634,0.0022902633,0.00008818252,0.00007445582,0.00033362833,0.0003235444,0.6598347,0.0007371871,0.33029383,0.005079376,0.00013762104],"about_ca_topic_score_codex":0.006906147,"about_ca_topic_score_gemma":0.0025652046,"teacher_disagreement_score":0.024577191,"about_ca_system_score_codex":0.0072543314,"about_ca_system_score_gemma":0.005008689,"threshold_uncertainty_score":0.12997812},"labels":[],"label_agreement":null},{"id":"W2065524587","doi":"10.1057/jors.2011.95","title":"Environmentally friendly facility location with market competition","year":2011,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Competition (biology); Facility location problem; Profit (economics); Industrial organization; Order (exchange); Monopoly; Economics; Production (economics); Purchasing; Business; Microeconomics; Environmental economics; Operations research; Operations management; Finance","score_opus":0.06595132098429969,"score_gpt":0.27430766250889377,"score_spread":0.2083563415245941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065524587","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":[0.15790744,0.0005587574,0.8030872,0.0011167792,0.00009415867,0.00021933277,0.00048850814,0.00022892508,0.03629888],"genre_scores_gemma":[0.9608948,0.00020965902,0.031225476,0.000076463875,0.000036102443,0.00011738461,0.000091546084,0.000034022625,0.007314554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812955,0.00086264784,0.000035736186,0.0003082014,0.00026206402,0.00040190294],"domain_scores_gemma":[0.9979279,0.0011140851,0.00044934682,0.00011560365,0.00022975758,0.00016330708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014180568,0.0011332192,0.0013376279,0.000577642,0.00080721814,0.0023950383,0.0024076686,0.003293103,0.00836153],"category_scores_gemma":[0.003603793,0.0007845426,0.0010235114,0.0012789024,0.0016833049,0.0031742274,0.0020358833,0.001226247,0.00065666914],"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":[0.00006193598,0.000061967236,0.0003805254,0.00005552864,0.000017164279,0.00021388922,0.000029227787,0.94326526,0.0006511363,0.05007365,0.0006208498,0.0045689116],"study_design_scores_gemma":[0.00003847426,0.000110371824,0.00028343056,0.000008657382,0.000015683356,0.00010672414,0.0000602808,0.9742158,0.0003723302,0.023372876,0.0013886617,0.000026819638],"about_ca_topic_score_codex":0.0079403035,"about_ca_topic_score_gemma":0.009040626,"teacher_disagreement_score":0.00836153,"about_ca_system_score_codex":0.0025160308,"about_ca_system_score_gemma":0.0018490315,"threshold_uncertainty_score":0.027972043},"labels":[],"label_agreement":null},{"id":"W2065990064","doi":"10.1057/jors.2010.30","title":"Production planning with uncertainty in the quality of raw materials: a case in sawmills","year":2010,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Production planning; Time horizon; Production (economics); Computer science; Stochastic programming; Mathematical optimization; Product (mathematics); Capacity planning; Quality (philosophy); Operations research; Mathematics; Economics","score_opus":0.08852421422799558,"score_gpt":0.40937107740112694,"score_spread":0.3208468631731314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065990064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7740097,0.0006526556,0.21636079,0.0009499525,0.000032365926,0.00016519669,0.00030259963,0.00012163984,0.0074050995],"genre_scores_gemma":[0.98643297,0.00017141362,0.012168964,0.000014703686,0.000008882095,0.000040475166,0.00003039741,0.000011099856,0.00112108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993374,0.00031669223,0.000022845154,0.00010491458,0.000117565556,0.00010051054],"domain_scores_gemma":[0.99755836,0.0018464422,0.00029870472,0.00006675582,0.000103139355,0.00012664382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017750789,0.0006386227,0.0011285454,0.00050130446,0.0007904035,0.001599957,0.0010191357,0.0021547435,0.002099841],"category_scores_gemma":[0.0033241855,0.00087940297,0.00095356995,0.0011303175,0.0011435465,0.0012502035,0.00073879526,0.0011385807,0.00010596325],"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":[0.00007963018,0.000044333086,0.00070998655,0.000041122366,0.000013194626,0.0011127426,0.000042586922,0.9881345,0.0007532191,0.0066092247,0.00011014377,0.0023492398],"study_design_scores_gemma":[0.000027671413,0.00011745817,0.00072482304,0.000008568877,0.000017665541,0.00012228999,0.00009313069,0.99203897,0.00062239607,0.0059526246,0.00025691168,0.000017528067],"about_ca_topic_score_codex":0.0076839705,"about_ca_topic_score_gemma":0.005267237,"teacher_disagreement_score":0.0076839705,"about_ca_system_score_codex":0.0013873205,"about_ca_system_score_gemma":0.0010561775,"threshold_uncertainty_score":0.015278459},"labels":[],"label_agreement":null},{"id":"W2067892036","doi":"10.1057/palgrave.jors.2601062","title":"A comment on Chang and Dye (1999): EOQ model for deteriorating items with time-varying demand and partial backlogging","year":2001,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economic order quantity; Operations research; Purchasing; Economics; Computer science; Mathematical economics; Microeconomics; Operations management; Mathematics; Business; Marketing","score_opus":0.09435567720227603,"score_gpt":0.3417681894229709,"score_spread":0.24741251222069485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067892036","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006295939,0.0012502578,0.0012697442,0.9757986,0.014940776,0.00002605721,0.0008425376,0.00013115846,0.0051111556],"genre_scores_gemma":[0.011850356,0.0011037996,0.0011813205,0.95594627,0.015455593,0.00011737701,0.00020856058,0.00010360184,0.014033204],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9913901,0.0015457722,0.0010859931,0.001692846,0.003369877,0.00091536035],"domain_scores_gemma":[0.949171,0.026495606,0.0029552518,0.0014238873,0.01853268,0.0014215048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008369924,0.001827142,0.0019916156,0.001441426,0.004870774,0.0046099615,0.008245603,0.055295654,0.014415298],"category_scores_gemma":[0.060817238,0.0012212936,0.0031439476,0.0026416744,0.0046892473,0.007632167,0.0033288018,0.044760417,0.010512368],"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":[0.000058330337,0.0000135197815,0.000445497,0.00008903922,0.000016002095,0.00037175807,0.0003632431,0.00039756086,0.00017839893,0.017085098,0.97899365,0.0019879485],"study_design_scores_gemma":[0.00019923014,0.00008114198,0.004453352,0.0006026442,0.00008797285,0.0006453573,0.00088348874,0.0034125957,0.0006957675,0.042708047,0.9458745,0.0003559144],"about_ca_topic_score_codex":0.12904823,"about_ca_topic_score_gemma":0.09096867,"teacher_disagreement_score":0.12904823,"about_ca_system_score_codex":0.010686717,"about_ca_system_score_gemma":0.008202983,"threshold_uncertainty_score":0.25659418},"labels":[],"label_agreement":null},{"id":"W2071273455","doi":"10.1057/palgrave.jors.2600888","title":"IBM journey management library: an arena system for airport simulations","year":2000,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Air Canada","funders":"","keywords":"IBM; Purchasing; Service (business); Computer science; Customer service; Transport engineering; Operations research; Air traffic control; Engineering; Operations management; Business; Marketing","score_opus":0.2797493790220237,"score_gpt":0.5154256409100425,"score_spread":0.23567626188801882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071273455","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":[0.009929318,0.00049946073,0.5410426,0.00038139935,0.00027519517,0.0005271901,0.026034456,0.3753333,0.045977183],"genre_scores_gemma":[0.17764595,0.0022899806,0.6020048,0.00056798034,0.00018307591,0.004424769,0.08234726,0.08179727,0.04873892],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995517,0.000112324844,0.00005197542,0.000054692347,0.00017559162,0.000053608062],"domain_scores_gemma":[0.99912673,0.000354959,0.000047400994,0.00014428176,0.00021485805,0.000111827096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010692807,0.0013676755,0.0011503246,0.0011233734,0.00051170937,0.001608667,0.0028688742,0.00088465307,0.082162276],"category_scores_gemma":[0.0029109186,0.00096332387,0.0010272558,0.0014870996,0.0003742356,0.0017065583,0.0014801761,0.002042961,0.021237994],"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":[0.0017785995,0.0005543042,0.0037389586,0.0015072682,0.00038577174,0.0006685241,0.0007025979,0.16632652,0.01448241,0.056260332,0.53294903,0.2206457],"study_design_scores_gemma":[0.0010325308,0.00014716966,0.0011337628,0.00015975679,0.00011998575,0.00021694208,0.00007739869,0.56205636,0.0122853415,0.027070317,0.39556822,0.00013224021],"about_ca_topic_score_codex":0.0038575525,"about_ca_topic_score_gemma":0.0034255988,"teacher_disagreement_score":0.082162276,"about_ca_system_score_codex":0.00055591186,"about_ca_system_score_gemma":0.0011757166,"threshold_uncertainty_score":0.2748602},"labels":[],"label_agreement":null},{"id":"W2076620626","doi":"10.1057/jors.2013.77","title":"Modelling the future of the Canadian cardiac surgery workforce using system dynamics","year":2013,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University Health Network; University of Toronto; Royal Columbian Hospital; University of Saskatchewan","funders":"","keywords":"Workforce; Population ageing; Specialty; Workforce planning; Health care; Population; Economic shortage; Health human resources; Human resources; Resource (disambiguation); Business; Operations management; Medicine; Computer science; Engineering; Economics; Economic growth; Family medicine; Management; Government (linguistics); Environmental health","score_opus":0.18447613003977123,"score_gpt":0.44405738914069814,"score_spread":0.2595812591009269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076620626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72971255,0.0010019314,0.14767374,0.0059752953,0.00029460323,0.00048567296,0.006245065,0.00044868366,0.10816251],"genre_scores_gemma":[0.9755997,0.00053849287,0.009107683,0.00013722175,0.000031193424,0.00016852008,0.0007902627,0.00003508011,0.013591869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996567,0.00008898984,0.000011926766,0.000051089213,0.00006635945,0.0001249181],"domain_scores_gemma":[0.9992716,0.00030455732,0.000079259255,0.000016974502,0.00021088345,0.00011684705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007161652,0.00092389993,0.0005064829,0.00060427724,0.0013490545,0.0019951712,0.0012937579,0.0017094486,0.0039208787],"category_scores_gemma":[0.0020884431,0.00047067227,0.0007606583,0.0007945449,0.0009530017,0.00079289416,0.0010814427,0.0011986649,0.0003658829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017568447,0.000011448308,0.0011562557,0.000015966565,0.0000068966156,0.000032147986,0.00007095334,0.99427325,0.00012903407,0.0030099459,0.00042607627,0.00085031625],"study_design_scores_gemma":[0.000013808393,0.000012970288,0.0009819302,0.0000074556647,0.0000069389266,0.00000531957,0.00012558106,0.9968591,0.000036663718,0.0009877539,0.00095306314,0.000009474661],"about_ca_topic_score_codex":0.83439046,"about_ca_topic_score_gemma":0.70796883,"teacher_disagreement_score":0.9898995,"about_ca_system_score_codex":0.010100475,"about_ca_system_score_gemma":0.012278825,"threshold_uncertainty_score":0.33316964},"labels":[],"label_agreement":null},{"id":"W2080225004","doi":"10.1057/palgrave.jors.2601675","title":"Periodic review ( <i>s</i> , <i>S</i> ) inventory model with permissible delay in payments","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Operations research; Payment; Constructive; Computer science; Standard deviation; Heuristic; Purchasing; Probabilistic logic; Mathematical economics; Economics; Operations management; Mathematics; Statistics; Artificial intelligence","score_opus":0.06460011845194524,"score_gpt":0.31820472101172737,"score_spread":0.2536046025597821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080225004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82368463,0.00077624863,0.15109974,0.0015052443,0.00020791744,0.0001729144,0.00059207634,0.00039869678,0.021562554],"genre_scores_gemma":[0.99156463,0.0001483925,0.0032487258,0.000040328858,0.000027767595,0.00003969938,0.00005194408,0.000015034338,0.0048633157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885726,0.00038168987,0.000048147504,0.00014212618,0.0002903544,0.00028049247],"domain_scores_gemma":[0.99644023,0.0016493464,0.00089067034,0.00026524084,0.00050745724,0.00024706195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021416456,0.0005732797,0.0009904291,0.00071183254,0.000495492,0.0012886132,0.0018506021,0.0014933058,0.0029744287],"category_scores_gemma":[0.005337554,0.0005263807,0.0007390882,0.00074198516,0.0011033793,0.0012711895,0.00057539484,0.0009912112,0.00043059056],"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":[0.00052444474,0.00012144562,0.0017240965,0.000082850325,0.000035708727,0.0010056902,0.000087448556,0.95419466,0.0043871123,0.027026294,0.0012215354,0.009588641],"study_design_scores_gemma":[0.000059832673,0.00031805472,0.0014602275,0.000015901234,0.00003357756,0.00021593022,0.00004903968,0.98750967,0.0011032488,0.008306383,0.00089973374,0.00002847452],"about_ca_topic_score_codex":0.00721564,"about_ca_topic_score_gemma":0.0034437026,"teacher_disagreement_score":0.00721564,"about_ca_system_score_codex":0.0015353032,"about_ca_system_score_gemma":0.0014631442,"threshold_uncertainty_score":0.014347315},"labels":[],"label_agreement":null},{"id":"W2081606268","doi":"10.1057/jors.2012.26","title":"Implementing a parametric maximum flow algorithm for optimal open pit mine design under uncertain supply and demand","year":2012,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Project management; Parametric statistics; Optimal design; Algorithm; Operations research; Scheduling (production processes); Open-pit mining; Mathematical optimization; Engineering; Mathematics; Mining engineering; Systems engineering; Statistics; Machine learning","score_opus":0.1252303502094552,"score_gpt":0.3796928823080662,"score_spread":0.254462532098611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081606268","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":[0.011649807,0.000054539607,0.98631525,0.00007212595,0.000007189873,0.00004556151,0.000024730198,0.00017403194,0.0016568328],"genre_scores_gemma":[0.40570268,0.00010659065,0.5920309,0.00005157258,0.000015066141,0.00025666563,0.000114723836,0.000074865115,0.0016468787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968946,0.0001302358,0.000013033699,0.000050895247,0.00007136326,0.000045068336],"domain_scores_gemma":[0.998985,0.0007692578,0.000093092356,0.000035409437,0.000089945635,0.000027306662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011314803,0.0007216109,0.00094379316,0.00061778974,0.00038695586,0.00068814494,0.0008822839,0.0010990294,0.002175347],"category_scores_gemma":[0.0026192402,0.00078087626,0.00074409915,0.0006191759,0.00050245906,0.0008136034,0.0008114874,0.00079245376,0.00021636243],"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":[0.000013991813,0.000012506835,0.0000869473,0.000017092423,0.0000053218873,0.000016426793,0.000017085773,0.9877551,0.00031013062,0.001806117,0.00012809505,0.009831297],"study_design_scores_gemma":[0.000004683346,0.000010009964,0.000017157603,0.0000015350939,0.0000013397118,0.0000034019695,0.0000039597517,0.99855727,0.00009872389,0.0011766254,0.00012393299,0.0000014446531],"about_ca_topic_score_codex":0.0059900545,"about_ca_topic_score_gemma":0.006951734,"teacher_disagreement_score":0.0059900545,"about_ca_system_score_codex":0.0007964282,"about_ca_system_score_gemma":0.0019909504,"threshold_uncertainty_score":0.011910379},"labels":[],"label_agreement":null},{"id":"W2081687870","doi":"10.1057/palgrave.jors.2601773","title":"A free coordination hull approach to efficiency measurement","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Hull; Data envelopment analysis; Binary number; Component (thermodynamics); Computer science; Zero (linguistics); Mathematical optimization; Sample (material); Analogy; Simple (philosophy); Set (abstract data type); Operations research; Mathematics; Engineering; Arithmetic","score_opus":0.2740224884239578,"score_gpt":0.45442554024430004,"score_spread":0.18040305182034222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081687870","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":[0.03983494,0.0003027267,0.944286,0.00033065444,0.00005151993,0.0001714204,0.0004917682,0.000094645766,0.014436341],"genre_scores_gemma":[0.83466154,0.00022928609,0.1599605,0.000082421066,0.00007789922,0.00047359444,0.00071236625,0.000052833955,0.003749488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9794534,0.01324223,0.0006482171,0.0015986366,0.0044941506,0.0005632447],"domain_scores_gemma":[0.96892875,0.023613134,0.0019957393,0.0031446712,0.0017767198,0.0005410322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012693727,0.0014736139,0.0021400626,0.0068224915,0.0008321243,0.006920299,0.0021521666,0.0009593525,0.0058716726],"category_scores_gemma":[0.037599936,0.0005484526,0.0018774852,0.007705886,0.00437299,0.005145901,0.0035031624,0.0032343087,0.00039736685],"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":[0.00015621055,0.00014996425,0.0033271613,0.000184104,0.00031931503,0.000115523675,0.0002792823,0.26358107,0.0005776013,0.6697218,0.0014063669,0.060181674],"study_design_scores_gemma":[0.00002311268,0.0001232276,0.0035997957,0.00005467388,0.0000287385,0.00003177048,0.000120441124,0.47932786,0.0006806978,0.51318675,0.0027734542,0.000049532562],"about_ca_topic_score_codex":0.004290611,"about_ca_topic_score_gemma":0.0021499773,"teacher_disagreement_score":0.012693727,"about_ca_system_score_codex":0.00416429,"about_ca_system_score_gemma":0.0020236946,"threshold_uncertainty_score":0.0671317},"labels":[],"label_agreement":null},{"id":"W2081877096","doi":"10.1057/palgrave.jors.2602070","title":"A methodology to optimize foundation seminar assignments","year":2005,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Health Quality Council","funders":"","keywords":"Foundation (evidence); Computer science; Liberal arts education; The arts; Heuristic; Mathematics education; Operations research; Psychology; Artificial intelligence; Mathematics; Visual arts; Higher education; History; Art","score_opus":0.6168729675288916,"score_gpt":0.5914161163089076,"score_spread":0.02545685121998409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081877096","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":[0.021103328,0.00016115233,0.9730811,0.00019260334,0.000040807678,0.00037510495,0.000111152855,0.00046375615,0.0044710035],"genre_scores_gemma":[0.15810512,0.00013497203,0.8386154,0.00007823772,0.000023780258,0.00045471164,0.00026217912,0.000121437355,0.002204043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987405,0.00046532814,0.000061343584,0.00021784016,0.0003476761,0.00016744841],"domain_scores_gemma":[0.9979657,0.0009959447,0.00028894693,0.0001549035,0.0004792912,0.00011524059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024931272,0.0013298937,0.0008973269,0.0021832045,0.00080201135,0.001166044,0.0015450551,0.0010469446,0.0049085673],"category_scores_gemma":[0.0050681233,0.00065027183,0.0009702524,0.0019003493,0.00058959244,0.00081066927,0.00089107285,0.0009560562,0.0005346098],"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":[0.000095356525,0.00034790303,0.0016264296,0.00021546526,0.00007105819,0.00011333936,0.00015515593,0.725251,0.005766677,0.015863882,0.00367921,0.24681452],"study_design_scores_gemma":[0.000032452375,0.00010863919,0.00027897515,0.000021049926,0.000018636114,0.00003470096,0.00005057991,0.98865545,0.0017606633,0.0065614274,0.002467439,0.000009922989],"about_ca_topic_score_codex":0.0051715495,"about_ca_topic_score_gemma":0.0047544213,"teacher_disagreement_score":0.0051715495,"about_ca_system_score_codex":0.0017064072,"about_ca_system_score_gemma":0.0034928569,"threshold_uncertainty_score":0.016420782},"labels":[],"label_agreement":null},{"id":"W2085896549","doi":"10.1057/palgrave.jors.2601885","title":"Two optimization models of the optimum inspection problem","year":2005,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Operations research; Project management; Scheduling (production processes); Purchasing; Management science; Mathematical optimization; Operations management; Engineering; Systems engineering; Mathematics","score_opus":0.06112229944376461,"score_gpt":0.3283507921021784,"score_spread":0.26722849265841375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085896549","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":[0.016744398,0.00077492936,0.9680141,0.0010678092,0.000060098817,0.00005307173,0.0001237561,0.0001299534,0.013031854],"genre_scores_gemma":[0.70688605,0.0018753689,0.26859522,0.00045646145,0.00022274622,0.0004266171,0.00031986152,0.00016613159,0.021051615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855655,0.0005538486,0.000050730778,0.0002756729,0.00034475583,0.00021848157],"domain_scores_gemma":[0.9973374,0.0017958671,0.00036681254,0.00013181935,0.00025142444,0.000116707546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002333931,0.00090578175,0.0008920693,0.0007608616,0.00025618734,0.0013114418,0.0014109678,0.0018566798,0.0042891894],"category_scores_gemma":[0.007886826,0.000769719,0.00079938397,0.0006413803,0.0014649126,0.0023958029,0.0008745731,0.0018777113,0.0005844819],"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":[0.00007782086,0.000048391594,0.0001932729,0.00007815615,0.000017497166,0.00005156641,0.00008042036,0.739519,0.0008269767,0.2445615,0.0021364207,0.0124089],"study_design_scores_gemma":[0.000031888103,0.000035490153,0.00017599312,0.000012762061,0.000008394231,0.000028352266,0.000011975602,0.92737275,0.00035496228,0.0702412,0.0017115205,0.0000146314815],"about_ca_topic_score_codex":0.0022927239,"about_ca_topic_score_gemma":0.001512203,"teacher_disagreement_score":0.0042891894,"about_ca_system_score_codex":0.0019549038,"about_ca_system_score_gemma":0.001412717,"threshold_uncertainty_score":0.014348745},"labels":[],"label_agreement":null},{"id":"W2088225495","doi":"10.1057/palgrave.jors.2602619","title":"Assessing the performance of Canadian bank branches using data envelopment analysis","year":2008,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Data envelopment analysis; Inefficiency; Computer science; Order (exchange); Operations research; Information system; Project management; Econometrics; Scheduling (production processes); Economics; Business; Operations management; Statistics; Finance; Mathematics; Engineering; Microeconomics; Management","score_opus":0.521389292434807,"score_gpt":0.5187625611757518,"score_spread":0.002626731259055215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088225495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98816305,0.00033192226,0.0033814963,0.00016001331,0.0000038756193,0.000046551788,0.00097101496,0.000034143482,0.006907969],"genre_scores_gemma":[0.99471515,0.00023093256,0.003380075,0.000011581997,0.0000018422948,0.000014859954,0.00059369364,0.0000086027585,0.0010432893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978269,0.0002366192,0.00007373584,0.00015483823,0.0012273719,0.00048053797],"domain_scores_gemma":[0.99644715,0.0007840248,0.0003301962,0.00016173652,0.0020322942,0.0002446426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022127652,0.00065441994,0.0005323686,0.0031462424,0.0017985703,0.0028615189,0.00064338144,0.0003833625,0.001321836],"category_scores_gemma":[0.007884312,0.00023702793,0.0005104783,0.006992099,0.00076538674,0.00078253367,0.0008663243,0.0003879507,0.00024978822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004304368,0.00010266633,0.48134542,0.00018697187,0.0001985312,0.0003674264,0.0020287826,0.3361306,0.0054185754,0.011851833,0.0033132883,0.15862545],"study_design_scores_gemma":[0.000030836163,0.00015396072,0.62920666,0.00011658308,0.00013181323,0.00007452598,0.00380932,0.3463262,0.007009296,0.002350636,0.010639187,0.0001510226],"about_ca_topic_score_codex":0.9187889,"about_ca_topic_score_gemma":0.9198858,"teacher_disagreement_score":0.08121109,"about_ca_system_score_codex":0.02729507,"about_ca_system_score_gemma":0.01873254,"threshold_uncertainty_score":0.19804049},"labels":[],"label_agreement":null},{"id":"W2089725715","doi":"10.1057/jors.2009.83","title":"Saving-based algorithms for vehicle routing problem with simultaneous pickup and delivery","year":2009,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Heuristics; Vehicle routing problem; Pickup; Computer science; Heuristic; Routing (electronic design automation); Extension (predicate logic); Mathematical optimization; Algorithm; Mathematics; Embedded system; Artificial intelligence","score_opus":0.04172816528484367,"score_gpt":0.33600109162972863,"score_spread":0.29427292634488494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089725715","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":[0.025297113,0.00039284214,0.9690248,0.0001644027,0.00004181769,0.00014390297,0.000050679766,0.00051365566,0.004370807],"genre_scores_gemma":[0.3925616,0.0007802929,0.60143924,0.0001182925,0.00006341688,0.00060447067,0.00033908655,0.00020332748,0.003890263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995357,0.00015497032,0.000020290765,0.00006438707,0.00013889754,0.00008579006],"domain_scores_gemma":[0.9988293,0.0007873636,0.00013234229,0.00008735687,0.000109143606,0.000054526885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012253649,0.0013254749,0.0013704168,0.0012363713,0.0006920377,0.0008576853,0.0020265414,0.00093872,0.0032855086],"category_scores_gemma":[0.0021127467,0.0006399351,0.0008543187,0.0014716057,0.00093593355,0.001408796,0.0013010864,0.0010576526,0.0004235053],"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":[0.00009333545,0.00006401645,0.0003100433,0.00011134565,0.00002908422,0.000051747364,0.00009483937,0.91451675,0.0009517974,0.023507642,0.0013791265,0.058890205],"study_design_scores_gemma":[0.00002434649,0.00004643364,0.00006625312,0.000008450276,0.000015409461,0.000025075506,0.000022297514,0.98771775,0.00044152467,0.010449971,0.0011754212,0.0000070887536],"about_ca_topic_score_codex":0.0041667153,"about_ca_topic_score_gemma":0.0036253643,"teacher_disagreement_score":0.0041667153,"about_ca_system_score_codex":0.0011623811,"about_ca_system_score_gemma":0.0013143515,"threshold_uncertainty_score":0.0109910965},"labels":[],"label_agreement":null},{"id":"W2109971354","doi":"10.1057/palgrave.jors.2602235","title":"A simulation study of scheduling clinic appointments in surgical care: individual surgeon <i>versus</i> pooled lists","year":2006,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Paul's Hospital; Vancouver General Hospital; Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Medicine; Scheduling (production processes); Discrete event simulation; Pooling; Medical emergency; Asynchronous communication; Operations management; Computer science; Simulation; Artificial intelligence; Engineering","score_opus":0.2040889459157151,"score_gpt":0.5314158404879024,"score_spread":0.3273268945721872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109971354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909773,0.000070987335,0.0067838314,0.00019964066,0.000025753492,0.00015705463,0.0001849543,0.000036127007,0.0015643794],"genre_scores_gemma":[0.99263155,0.00005852996,0.0065353336,0.000041422696,0.0000126574,0.00013563212,0.00012792034,0.000010205368,0.00044681257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99698704,0.0020361014,0.000107492204,0.00022231162,0.00019774331,0.00044934143],"domain_scores_gemma":[0.94627964,0.047104597,0.0021174583,0.0011246358,0.0015448604,0.0018287608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062042964,0.0008244877,0.0008936649,0.00086203014,0.0007138216,0.001237638,0.0011700128,0.0014618154,0.0025880039],"category_scores_gemma":[0.021508623,0.00064927054,0.0012180442,0.00094750617,0.001019026,0.0011703215,0.00078309287,0.0015554694,0.00015742306],"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":[0.0017747884,0.0017301756,0.0110490825,0.00009812264,0.00014979934,0.00008557413,0.00025826442,0.977817,0.0006730978,0.0025380303,0.0002867814,0.003539289],"study_design_scores_gemma":[0.0005146206,0.001217325,0.0032016863,0.000013053639,0.00007840531,0.000019897532,0.00029410224,0.99294794,0.00055060326,0.00090318994,0.00023015916,0.000029012233],"about_ca_topic_score_codex":0.027804716,"about_ca_topic_score_gemma":0.01666887,"teacher_disagreement_score":0.027804716,"about_ca_system_score_codex":0.0032148017,"about_ca_system_score_gemma":0.0029547475,"threshold_uncertainty_score":0.05528575},"labels":[],"label_agreement":null},{"id":"W2110400651","doi":"10.1057/jors.2012.65","title":"Designing global supply networks for conflict or disaster support: the case of the Canadian Armed Forces","year":2012,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Modellium (Canada); Université Laval","funders":"","keywords":"Humanitarian Logistics; Operations research; Supply network; Order (exchange); Business; Robustness (evolution); Computer science; Risk analysis (engineering); Industrial organization; Engineering; Finance","score_opus":0.12032517714007837,"score_gpt":0.36402606521959985,"score_spread":0.24370088807952148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110400651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46680322,0.001489687,0.44602138,0.0044476152,0.00013043663,0.00050404546,0.00060155883,0.0002260101,0.07977604],"genre_scores_gemma":[0.9378864,0.0009742002,0.052505385,0.00008398591,0.000017630377,0.00008695896,0.0001785969,0.00004657135,0.008220181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993887,0.00020409291,0.000014188381,0.00007329142,0.00008617289,0.0002336104],"domain_scores_gemma":[0.99946886,0.00024078847,0.000051480678,0.00002778247,0.000116284325,0.000094772106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011213399,0.001004815,0.00045082992,0.0008164615,0.002255836,0.002562139,0.0012386008,0.0015314296,0.0036288504],"category_scores_gemma":[0.0024610455,0.0005278549,0.00067954074,0.0017079439,0.0015069304,0.001783145,0.0014546238,0.0009317433,0.00020313216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031248026,0.000017207562,0.00087588583,0.00003451927,0.000011573298,0.00020851227,0.00016830549,0.9634402,0.00038480785,0.025289513,0.00067215384,0.008866235],"study_design_scores_gemma":[0.000024185054,0.000044626482,0.0010125084,0.00003477072,0.000029862274,0.00006140526,0.0009493593,0.9771279,0.00050108414,0.012666197,0.0075148973,0.000033198266],"about_ca_topic_score_codex":0.5969484,"about_ca_topic_score_gemma":0.61106265,"teacher_disagreement_score":0.9894021,"about_ca_system_score_codex":0.010597883,"about_ca_system_score_gemma":0.011178174,"threshold_uncertainty_score":0.8108505},"labels":[],"label_agreement":null},{"id":"W2115781168","doi":"10.1057/jors.2011.25","title":"An incremental tabu search heuristic for the generalized vehicle routing problem with time windows","year":2011,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Tabu search; Vehicle routing problem; Mathematical optimization; Guided Local Search; Computer science; Neighbourhood (mathematics); Incremental heuristic search; Heuristic; Heuristics; Beam search; Routing (electronic design automation); Algorithm; Search algorithm; Mathematics","score_opus":0.07959455024081594,"score_gpt":0.3510110840672343,"score_spread":0.2714165338264184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115781168","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":[0.028733337,0.0005491984,0.9618491,0.000113376525,0.00006970113,0.00023414035,0.000096469856,0.00074038375,0.0076143215],"genre_scores_gemma":[0.24714401,0.00040377263,0.7480956,0.00009319978,0.00004008492,0.00042567734,0.00029980575,0.00025024638,0.0032475735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996921,0.00010590355,0.000010658215,0.000036116155,0.000111520814,0.000043731816],"domain_scores_gemma":[0.99961984,0.00022836875,0.000036941303,0.000034979956,0.000060273826,0.000019514784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057267374,0.00047790393,0.0007849801,0.000743548,0.0004942107,0.0005505783,0.0015706276,0.0007130967,0.003186978],"category_scores_gemma":[0.0021784937,0.0003107977,0.0006058583,0.00093282794,0.00048068515,0.0009991927,0.00064820144,0.0007164092,0.00047216128],"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":[0.0001170469,0.00010116512,0.0005190209,0.0001591094,0.000044131666,0.00010748574,0.000108600085,0.7320433,0.003255403,0.027126053,0.0034474658,0.23297128],"study_design_scores_gemma":[0.00003491342,0.00009991247,0.00020386593,0.000015935322,0.00002048346,0.00006662336,0.000029156434,0.98688406,0.001092722,0.008166801,0.0033709689,0.000014606126],"about_ca_topic_score_codex":0.0041377586,"about_ca_topic_score_gemma":0.0062996135,"teacher_disagreement_score":0.0041377586,"about_ca_system_score_codex":0.00077482814,"about_ca_system_score_gemma":0.0010636036,"threshold_uncertainty_score":0.010661483},"labels":[],"label_agreement":null},{"id":"W2123870732","doi":"10.1057/jors.2010.49","title":"Optimization models for critical spare parts inventories—a reliability approach","year":2010,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spare part; Reliability (semiconductor); Computer science; Project management; Operations research; Reliability engineering; Purchasing; Scheduling (production processes); Systems engineering; Operations management; Engineering","score_opus":0.053585881235284384,"score_gpt":0.3332193809567216,"score_spread":0.2796334997214372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123870732","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":[0.019871274,0.0025485961,0.96525973,0.0011920484,0.00012220645,0.00010025402,0.00047063341,0.00022751208,0.010207748],"genre_scores_gemma":[0.78062695,0.004750517,0.17879933,0.00050462445,0.00038802347,0.0008160487,0.0012712606,0.00038202616,0.03246128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926525,0.00037544715,0.000030603314,0.00011551288,0.00011420326,0.00009894418],"domain_scores_gemma":[0.9970271,0.0022346072,0.00024332659,0.00007485854,0.000339693,0.00008042707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025704291,0.0017780724,0.0017882242,0.0017041132,0.0005097324,0.0017239338,0.0019121899,0.0021039594,0.005054269],"category_scores_gemma":[0.0057648094,0.0014293581,0.0015498092,0.0014363294,0.000952975,0.0016244247,0.0012975471,0.0018237812,0.00073233794],"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":[0.000008180453,0.0000071655163,0.00010195239,0.000020169073,0.000014336343,0.0000142942135,0.000009192838,0.9923724,0.000057355388,0.0049396497,0.0003456341,0.0021096708],"study_design_scores_gemma":[0.0000019547495,0.0000054437137,0.000043519878,0.0000074257314,0.0000052583555,0.000004183891,0.0000065270765,0.99557805,0.000026120631,0.003990013,0.0003284497,0.0000031707086],"about_ca_topic_score_codex":0.015525199,"about_ca_topic_score_gemma":0.010846842,"teacher_disagreement_score":0.015525199,"about_ca_system_score_codex":0.0017868283,"about_ca_system_score_gemma":0.0022431551,"threshold_uncertainty_score":0.030869663},"labels":[],"label_agreement":null},{"id":"W2136863244","doi":"10.1057/jors.2009.86","title":"An ant colony optimization metaheuristic for single-path multicommodity network flow problems","year":2009,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Metaheuristic; Ant colony optimization algorithms; Mathematical optimization; Multi-commodity flow problem; Computer science; Path (computing); Flow network; Ant colony; Node (physics); Minimum-cost flow problem; Parallel metaheuristic; Optimization problem; Flow (mathematics); Mathematics; Computer network; Engineering","score_opus":0.07605495017992003,"score_gpt":0.36306116388250936,"score_spread":0.28700621370258933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136863244","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":[0.02902289,0.0008804595,0.96088666,0.00040801472,0.00012388278,0.00015553324,0.00009678947,0.00036246327,0.00806324],"genre_scores_gemma":[0.27143833,0.0007069644,0.7235169,0.00023195343,0.00008850065,0.00031112725,0.00018767956,0.00011267816,0.003405902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995473,0.00019727547,0.00002081125,0.000061202154,0.0001274829,0.000045892928],"domain_scores_gemma":[0.9991584,0.00055112597,0.00009204343,0.00005878276,0.00010209998,0.000037514626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008413273,0.0009161827,0.0009726745,0.00073594623,0.00050502527,0.0008796955,0.0011814439,0.0013532399,0.0012816662],"category_scores_gemma":[0.0022244556,0.00039992368,0.0006454324,0.0011650244,0.00054585224,0.0008707237,0.0006389874,0.0010864742,0.00023548627],"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":[0.00002985034,0.000050115304,0.00021485786,0.000057140158,0.000032562297,0.00004463162,0.00002900938,0.9568658,0.00076680107,0.007933005,0.0008820164,0.033094224],"study_design_scores_gemma":[0.000013325475,0.000018515666,0.0000301144,0.000005556135,0.0000056836,0.0000134546535,0.0000061610817,0.9967315,0.00019116254,0.0020969997,0.00088482315,0.0000026711102],"about_ca_topic_score_codex":0.0036511421,"about_ca_topic_score_gemma":0.0037212488,"teacher_disagreement_score":0.0036511421,"about_ca_system_score_codex":0.0006411606,"about_ca_system_score_gemma":0.0011585883,"threshold_uncertainty_score":0.007259786},"labels":[],"label_agreement":null},{"id":"W2138023714","doi":"10.1057/jors.2010.53","title":"Cost allocation in the establishment of a collaborative transportation agreement—an application in the furniture industry","year":2010,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Purchasing; Supply chain; Cost reduction; Business; Computer science; Key (lock); Operations research; Operations management; Marketing; Economics; Engineering; Computer security","score_opus":0.049066076679056714,"score_gpt":0.3867948432864896,"score_spread":0.3377287666074329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138023714","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":[0.107823774,0.0001626467,0.88393915,0.0004791295,0.000048569953,0.00043614418,0.0000451502,0.000119885844,0.0069456175],"genre_scores_gemma":[0.74193984,0.00017175218,0.2548778,0.000039024275,0.000032066193,0.00043891073,0.000036538833,0.000058745736,0.0024052204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953235,0.0032399697,0.00014962947,0.00037254262,0.00054899213,0.000365368],"domain_scores_gemma":[0.9886673,0.008715269,0.0006753898,0.00052018097,0.0009176535,0.00050412765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008463899,0.0009985688,0.0014287859,0.0014012235,0.001754536,0.0020111315,0.0022163705,0.0022722732,0.0040727714],"category_scores_gemma":[0.017698068,0.0006532908,0.0009940687,0.0015028414,0.0013714901,0.0031102193,0.0033592116,0.0015137093,0.00027505663],"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":[0.00034134203,0.00032031978,0.0013911946,0.00014717752,0.00007098419,0.00023588128,0.00038506027,0.87145686,0.0014705034,0.06410443,0.00076644216,0.059309755],"study_design_scores_gemma":[0.00004176134,0.00011048399,0.00025104333,0.000010556092,0.000027150898,0.000038826307,0.00016288363,0.9872961,0.0006114017,0.010684906,0.0007484752,0.000016362512],"about_ca_topic_score_codex":0.007447146,"about_ca_topic_score_gemma":0.004433024,"teacher_disagreement_score":0.008463899,"about_ca_system_score_codex":0.0034467687,"about_ca_system_score_gemma":0.0026526167,"threshold_uncertainty_score":0.044761956},"labels":[],"label_agreement":null},{"id":"W2144526341","doi":"10.1057/palgrave.jors.2602072","title":"Large-scale capacitated part-routing in the presence of process and routing flexibilities and setup costs","year":2005,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Routing (electronic design automation); Outsourcing; Scheduling (production processes); Production (economics); Mathematical optimization; Process (computing); Scale (ratio); Purchasing; Product (mathematics); Operations research; Heuristics; Fixed cost; Operations management; Mathematics; Engineering; Economics","score_opus":0.035065605024043295,"score_gpt":0.33038588850269296,"score_spread":0.2953202834786497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144526341","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":[0.16962339,0.00020302033,0.8227757,0.00029916398,0.000028290657,0.00009099222,0.00013389628,0.0003405253,0.006504974],"genre_scores_gemma":[0.81029266,0.0001376192,0.18686098,0.000045420747,0.000021080972,0.0001396975,0.00017946617,0.00007700737,0.0022461894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959093,0.00019410456,0.000010336543,0.00006626819,0.00007407791,0.00006427394],"domain_scores_gemma":[0.9986076,0.0010884537,0.00010973791,0.00008718003,0.000056606776,0.000050399038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010770705,0.0007290172,0.00060592033,0.00031587417,0.00060693204,0.0007673425,0.001083195,0.0008237173,0.0020037184],"category_scores_gemma":[0.0024662262,0.0006801692,0.0005016524,0.00085784437,0.00076816813,0.0008792878,0.0006081884,0.0008394419,0.00020452563],"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":[0.00001992153,0.000009284122,0.000089682,0.000015845293,0.0000049496716,0.000044446348,0.000011093216,0.99496883,0.000523498,0.0015560731,0.00013729952,0.0026190206],"study_design_scores_gemma":[0.00000981492,0.000013227966,0.00006410437,0.0000018260833,0.0000048342,0.000016628781,0.000009667676,0.9972837,0.0004926144,0.0018998109,0.00020047245,0.0000032769437],"about_ca_topic_score_codex":0.007704562,"about_ca_topic_score_gemma":0.007860933,"teacher_disagreement_score":0.007704562,"about_ca_system_score_codex":0.0010849362,"about_ca_system_score_gemma":0.0012905907,"threshold_uncertainty_score":0.015319407},"labels":[],"label_agreement":null},{"id":"W2149103160","doi":"10.1057/jors.2012.71","title":"Matching patient and physician preferences in designing a primary care facility network","year":2012,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Context (archaeology); Matching (statistics); Stakeholder; Health care; Incentive; Business; Purchasing; Computer science; Knowledge management; Marketing; Economics; Medicine; Microeconomics","score_opus":0.0688836860669017,"score_gpt":0.3052366764368525,"score_spread":0.23635299036995078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149103160","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":[0.15556754,0.0002737184,0.82682586,0.001604838,0.000048398284,0.0004680964,0.00044916,0.00013538006,0.014626954],"genre_scores_gemma":[0.890146,0.00026898488,0.1035789,0.0001674171,0.00003535404,0.00044824913,0.00018253532,0.00004322218,0.005129328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708587,0.0019002547,0.00005654704,0.00032302248,0.00024206514,0.00039219638],"domain_scores_gemma":[0.99748814,0.0018378369,0.00021829734,0.00006734578,0.000117492906,0.00027091528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026721163,0.00080390467,0.000947857,0.0006220929,0.0006872611,0.00217552,0.0013757449,0.0017406747,0.0061602653],"category_scores_gemma":[0.006349909,0.00089325884,0.0007024723,0.0011715692,0.0007285064,0.001948842,0.0013554378,0.0011973241,0.0005112996],"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":[0.00008835603,0.00006249716,0.0020551526,0.000048356367,0.000022506574,0.00017342814,0.00012259044,0.97680616,0.000436111,0.012490228,0.00040849883,0.0072861384],"study_design_scores_gemma":[0.00003470113,0.00010694043,0.00070922717,0.000015583539,0.000020235182,0.000111551504,0.00023296605,0.9859665,0.00031318795,0.010970487,0.0015009923,0.000017526627],"about_ca_topic_score_codex":0.0058950013,"about_ca_topic_score_gemma":0.008562774,"teacher_disagreement_score":0.0061602653,"about_ca_system_score_codex":0.0022547503,"about_ca_system_score_gemma":0.0020743674,"threshold_uncertainty_score":0.020608127},"labels":[],"label_agreement":null},{"id":"W2160012199","doi":"10.1057/jors.2011.52","title":"Inventory control for point-of-use locations in hospitals","year":2011,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Vrije Universiteit Amsterdam","keywords":"Reorder point; Inventory control; Service level; Operations research; Computer science; Purchasing; Lead time; Service (business); Operations management; Capacity management; Economic order quantity; Order (exchange); Inventory theory; Perpetual inventory; Scheduling (production processes); Set (abstract data type); Information system; Mathematics; Statistics; Economics; Business; Supply chain; Engineering; Marketing","score_opus":0.10718632043852347,"score_gpt":0.3244634993816324,"score_spread":0.2172771789431089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160012199","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":[0.32326725,0.0038338976,0.6578763,0.0012747232,0.00019694836,0.00030011497,0.0005039013,0.00096258003,0.011784204],"genre_scores_gemma":[0.99264,0.00037070262,0.0053851185,0.00003723258,0.000021051323,0.00004465904,0.00005391179,0.00001552695,0.001431774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852717,0.00060734205,0.00010153567,0.00021673134,0.00027370223,0.00027352737],"domain_scores_gemma":[0.99708265,0.0017247603,0.0005226695,0.000101346435,0.0004130416,0.00015560392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021891138,0.0008460238,0.0014725351,0.00072169583,0.0006694911,0.0029936626,0.0017852308,0.0012929424,0.0028003731],"category_scores_gemma":[0.0058765486,0.0007413469,0.0004939627,0.0013347702,0.0012085624,0.001495619,0.001231118,0.0007968784,0.00030165192],"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":[0.000120004064,0.000029898676,0.0004663469,0.000053329593,0.00001601228,0.000047652262,0.000047377573,0.98831356,0.0005293881,0.0037471529,0.00041642296,0.006212796],"study_design_scores_gemma":[0.000021816371,0.00006700985,0.00024788507,0.000010920462,0.000008881458,0.000011582831,0.00002960562,0.99698454,0.00023709005,0.0021909492,0.00018004705,0.000009670529],"about_ca_topic_score_codex":0.029720811,"about_ca_topic_score_gemma":0.015012964,"teacher_disagreement_score":0.029720811,"about_ca_system_score_codex":0.0027379598,"about_ca_system_score_gemma":0.0016703383,"threshold_uncertainty_score":0.05909562},"labels":[],"label_agreement":null},{"id":"W2163940244","doi":"10.1057/palgrave.jors.2601775","title":"Design of balanced MBA student teams","year":2004,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Computer science; Metaheuristic; Project management; Population; Set (abstract data type); Operations research; Mathematical optimization; Norm (philosophy); Representation (politics); Management science; Mathematics; Engineering","score_opus":0.06223547916946872,"score_gpt":0.392809572784927,"score_spread":0.3305740936154583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163940244","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":[0.22032696,0.00023871833,0.76239556,0.00036030923,0.00020999942,0.0021139162,0.00022592691,0.0005370894,0.013591557],"genre_scores_gemma":[0.69903684,0.000113604736,0.28953567,0.00010983597,0.00006573596,0.0030371258,0.0001987693,0.00009461737,0.0078077656],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996979,0.001756146,0.000112408496,0.00045594876,0.0003638099,0.00033268618],"domain_scores_gemma":[0.99617344,0.0009382998,0.00054213067,0.00034311714,0.0008365447,0.0011665937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026917835,0.00061919395,0.00088349654,0.0007221719,0.00086709106,0.0014394651,0.0018245217,0.000845237,0.00828972],"category_scores_gemma":[0.0069180476,0.0005571664,0.0004395837,0.00038871774,0.00047832783,0.00081649807,0.001984675,0.00088471174,0.0022346207],"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":[0.0048979307,0.002702004,0.016392643,0.00060034485,0.00028153113,0.00029844765,0.0017736745,0.2962355,0.027422719,0.060084235,0.009041255,0.58026975],"study_design_scores_gemma":[0.0009818429,0.006209517,0.004239978,0.00009852576,0.000104280414,0.00023696605,0.0012413812,0.9137076,0.013680488,0.025857985,0.033582374,0.000059113678],"about_ca_topic_score_codex":0.0006633613,"about_ca_topic_score_gemma":0.00086435047,"teacher_disagreement_score":0.00828972,"about_ca_system_score_codex":0.000766261,"about_ca_system_score_gemma":0.0012210725,"threshold_uncertainty_score":0.027731895},"labels":[],"label_agreement":null},{"id":"W2175760929","doi":"10.1057/jors.2015.77","title":"Good Laboratory Practice for optimization research","year":2015,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Management science; Set (abstract data type); Computer science; Engineering ethics; Operations research; Engineering management; Engineering","score_opus":0.8964348371194648,"score_gpt":0.7340319064664583,"score_spread":0.16240293065300648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175760929","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":[0.0028581836,0.01453682,0.68501526,0.25018337,0.004120391,0.0010953794,0.00023992312,0.00082514336,0.041125465],"genre_scores_gemma":[0.16586268,0.012070272,0.7249545,0.07938345,0.006493264,0.005045879,0.0004095162,0.0008573626,0.0049229874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.597096,0.31066307,0.027190382,0.016891053,0.044404637,0.003754797],"domain_scores_gemma":[0.28810146,0.51612955,0.027235238,0.09149993,0.06969878,0.0073351334],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3308391,0.0023133503,0.0048035597,0.0049958187,0.004521303,0.019318065,0.0067465487,0.01633143,0.008717675],"category_scores_gemma":[0.6156122,0.0019758465,0.003161305,0.0050373035,0.03263268,0.021686096,0.01248151,0.027053485,0.0070701465],"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":[0.00015148017,0.00026708955,0.0022479603,0.0017129706,0.00021523063,0.00015965324,0.0019198031,0.007030422,0.00036424494,0.8649837,0.042662248,0.0782853],"study_design_scores_gemma":[0.0001432263,0.0001849192,0.0008202982,0.0027191944,0.000044858083,0.00016447729,0.00046157112,0.0044325073,0.00064779446,0.9204195,0.06987354,0.000088166904],"about_ca_topic_score_codex":0.003373788,"about_ca_topic_score_gemma":0.0022057383,"teacher_disagreement_score":0.3308391,"about_ca_system_score_codex":0.009840523,"about_ca_system_score_gemma":0.03683926,"threshold_uncertainty_score":0.82519454},"labels":[],"label_agreement":null},{"id":"W2256226605","doi":"10.1057/jors.2015.99","title":"Systems simulation model for assessing the sustainability and synergistic impacts of sugar-sweetened beverages tax and revenue recycling on childhood obesity prevention","year":2015,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Office of Behavioral and Social Sciences Research; U.S. Department of Agriculture","keywords":"Sustainability; Psychological intervention; Public economics; Revenue; Childhood obesity; Tax revenue; Business; Environmental economics; Economics; Obesity; Overweight; Medicine; Finance","score_opus":0.08791971047031309,"score_gpt":0.4321531135405106,"score_spread":0.3442334030701975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256226605","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":[0.354456,0.0010494377,0.56266963,0.004011902,0.00039970942,0.00093133515,0.0034787469,0.0008447657,0.07215845],"genre_scores_gemma":[0.95601326,0.0004919578,0.03450043,0.00016298196,0.000039995255,0.0008894419,0.00073359476,0.000042584594,0.007125681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925643,0.0003974837,0.000033284807,0.00010074133,0.000091598136,0.0001204631],"domain_scores_gemma":[0.9974183,0.001847933,0.00019877574,0.00006511874,0.00031072102,0.00015921224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012999362,0.0009835112,0.00093511894,0.000965485,0.0010515403,0.0016796307,0.0014272559,0.0023447124,0.007291414],"category_scores_gemma":[0.005629729,0.00056124147,0.0012856342,0.00084523455,0.0008325347,0.0011391449,0.0019029431,0.0016926393,0.00039540872],"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":[0.00003205055,0.000028695753,0.0009910843,0.000024017118,0.000022416367,0.00003786926,0.000040864743,0.9903262,0.00013244117,0.0070283827,0.0002537,0.0010823398],"study_design_scores_gemma":[0.000016820777,0.000022707214,0.0001838968,0.000007923393,0.00001344355,0.0000048253314,0.000043716074,0.99700373,0.00004760683,0.002085421,0.0005638208,0.000006152735],"about_ca_topic_score_codex":0.04790748,"about_ca_topic_score_gemma":0.027486416,"teacher_disagreement_score":0.04790748,"about_ca_system_score_codex":0.0027506708,"about_ca_system_score_gemma":0.004520578,"threshold_uncertainty_score":0.09525722},"labels":[],"label_agreement":null},{"id":"W2272145616","doi":"10.1057/jors.2014.127","title":"Coordinating contracts for supply chains that market with mail-in rebates and retailer promotions","year":2015,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Newsvendor model; Supply chain; Business; Order (exchange); Purchasing; Supply chain management; Work (physics); Marketing; Industrial organization; Finance","score_opus":0.12039845043525682,"score_gpt":0.32144319413650785,"score_spread":0.20104474370125103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272145616","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":[0.4404197,0.0014286876,0.5250393,0.0020763625,0.00018287137,0.00055297476,0.00037845352,0.00027042674,0.02965117],"genre_scores_gemma":[0.96507573,0.00066681596,0.025822232,0.000078373785,0.000063833235,0.00021503343,0.0001125619,0.00005037667,0.007915049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99660647,0.0014893463,0.00024128238,0.0005665583,0.00040814313,0.00068827247],"domain_scores_gemma":[0.9815655,0.011002754,0.004217519,0.000786425,0.0009924256,0.0014353888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007496568,0.0011760987,0.0017155055,0.0010048657,0.0021278304,0.0046958397,0.0016783662,0.0033818125,0.011242313],"category_scores_gemma":[0.023321366,0.0014219087,0.001604562,0.0012845253,0.0030644813,0.0059925476,0.0024718978,0.0021276178,0.0005975119],"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":[0.000548103,0.00023496384,0.0029197626,0.00021857992,0.0000655666,0.0009871845,0.0006398105,0.71918046,0.003166185,0.26076552,0.0013807749,0.00989307],"study_design_scores_gemma":[0.00028511058,0.0003037135,0.0011472569,0.000059554022,0.00009426666,0.00020873244,0.000723421,0.8882864,0.0010330874,0.10379661,0.003982027,0.00007993742],"about_ca_topic_score_codex":0.009097241,"about_ca_topic_score_gemma":0.007969135,"teacher_disagreement_score":0.011242313,"about_ca_system_score_codex":0.0040632566,"about_ca_system_score_gemma":0.004145675,"threshold_uncertainty_score":0.03964609},"labels":[],"label_agreement":null},{"id":"W2287735273","doi":"10.1057/jors.2015.46","title":"A computational study of hybrid approaches of metaheuristic algorithms for the cell formation problem","year":2015,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Simulated annealing; A priori and a posteriori; Computer science; Mathematical optimization; Metaheuristic; Neighbourhood (mathematics); Local search (optimization); Algorithm; Iterated local search; Benchmark (surveying); Population; Tabu search; Mathematics","score_opus":0.19473064364162745,"score_gpt":0.3470540160032873,"score_spread":0.15232337236165983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287735273","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":[0.08781132,0.0034178586,0.8875945,0.00060889137,0.00020364142,0.00015077078,0.00008202254,0.00016531428,0.019965595],"genre_scores_gemma":[0.61236274,0.0014093032,0.3809245,0.0002204803,0.00013329032,0.00041811127,0.00011166985,0.00009960845,0.004320293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992361,0.00046812638,0.000020808264,0.00006589308,0.00014422766,0.00006477809],"domain_scores_gemma":[0.99643457,0.0030488723,0.00014869614,0.00012225637,0.00017202644,0.00007359687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020245335,0.0010175451,0.00092034426,0.00088878424,0.00056816987,0.0012304402,0.0015084493,0.0017488144,0.0024735313],"category_scores_gemma":[0.005673563,0.00050395343,0.0010823787,0.0011449788,0.001125832,0.0012717957,0.00090079976,0.0012564397,0.00027791434],"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":[0.000040245774,0.000035788642,0.00039207243,0.0000737286,0.000052140887,0.00002338363,0.00003056174,0.97070944,0.00027427662,0.017355055,0.00031134556,0.010701999],"study_design_scores_gemma":[0.000010508468,0.00003391981,0.00007051295,0.000010305225,0.00000827389,0.00001055926,0.000010524263,0.9958442,0.000115451636,0.0033115642,0.0005706326,0.0000035503692],"about_ca_topic_score_codex":0.0041549155,"about_ca_topic_score_gemma":0.0037646964,"teacher_disagreement_score":0.0041549155,"about_ca_system_score_codex":0.0009076875,"about_ca_system_score_gemma":0.0009446577,"threshold_uncertainty_score":0.010706902},"labels":[],"label_agreement":null},{"id":"W2291592553","doi":"10.1057/jors.2015.90","title":"Solving the vehicle routing problem with lunch break arising in the furniture delivery industry","year":2015,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Vehicle routing problem; Computer science; Heuristic; Mathematical optimization; Routing (electronic design automation); Integer programming; Heuristics; Linear programming; Process (computing); Last mile (transportation); Operations research; Algorithm; Mathematics; Mile; Artificial intelligence","score_opus":0.07099147204568494,"score_gpt":0.34300034658101936,"score_spread":0.2720088745353344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291592553","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":[0.25779045,0.002241461,0.72399575,0.0014493383,0.000177214,0.0002914721,0.00041594385,0.0004673511,0.01317101],"genre_scores_gemma":[0.6989289,0.0010812215,0.2907136,0.00024876135,0.000101799975,0.0002939907,0.0007149614,0.00018450848,0.007732269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993813,0.00024228437,0.000021282312,0.00016577836,0.000064632426,0.00012460661],"domain_scores_gemma":[0.9989525,0.0007733032,0.0001238556,0.000039245988,0.00004414519,0.000066911816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009790974,0.0012681953,0.0013347721,0.00046289669,0.0007578947,0.0013077641,0.0012106731,0.00232241,0.004806143],"category_scores_gemma":[0.002486662,0.00060932385,0.001012823,0.0008653669,0.00062830775,0.0012364974,0.0011053997,0.0015958415,0.00034638256],"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":[0.000089321664,0.0001209058,0.0006237388,0.00019721499,0.000046697347,0.00018116459,0.00006404111,0.9742483,0.00085385377,0.005691596,0.0013614148,0.016521776],"study_design_scores_gemma":[0.000053082877,0.00013056537,0.00033932456,0.000015174625,0.000025218922,0.00010440042,0.0001549624,0.9889951,0.00060306385,0.007860261,0.0017058023,0.000013148799],"about_ca_topic_score_codex":0.007877362,"about_ca_topic_score_gemma":0.0063516963,"teacher_disagreement_score":0.007877362,"about_ca_system_score_codex":0.0009098436,"about_ca_system_score_gemma":0.00131668,"threshold_uncertainty_score":0.016078115},"labels":[],"label_agreement":null},{"id":"W2406081839","doi":"10.1057/jors.2015.24","title":"Offering a downgraded service to enhance profit?","year":2015,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Service (business); Service provider; Business; Service design; Service delivery framework; Service level objective; Profit (economics); Purchasing; Service product management; Competition (biology); Service management; Marketing; Supply chain; Economics; Supply chain management; Microeconomics","score_opus":0.1387938037290649,"score_gpt":0.37707853091928056,"score_spread":0.23828472719021565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406081839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7688829,0.00092411716,0.077537484,0.0098013105,0.0001772965,0.00017127542,0.00024203026,0.00025182025,0.14201182],"genre_scores_gemma":[0.9952733,0.00017947594,0.00260088,0.00013315037,0.000024610317,0.00000727173,0.000011999465,0.0000101641745,0.0017591412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99884486,0.0003155566,0.000028355274,0.00013185781,0.00019382378,0.00048556723],"domain_scores_gemma":[0.99767643,0.0009835693,0.00042227132,0.00022943696,0.00025110418,0.00043714355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014789321,0.00048077336,0.0005368712,0.0006351213,0.0007817961,0.0032541365,0.00093635195,0.0021639904,0.016466446],"category_scores_gemma":[0.006228868,0.00040417237,0.000647605,0.0006779271,0.001822195,0.0061693923,0.0014891558,0.0013178606,0.0010611493],"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":[0.0006941398,0.00061129057,0.01727741,0.00047141488,0.00009804412,0.0014429409,0.0007313131,0.079726204,0.014930821,0.79873073,0.0047949506,0.08049084],"study_design_scores_gemma":[0.00033911195,0.001208897,0.020335097,0.0003661496,0.0002937617,0.0024375787,0.004963566,0.32398975,0.010332679,0.59927195,0.036306676,0.00015481247],"about_ca_topic_score_codex":0.003679652,"about_ca_topic_score_gemma":0.004590117,"teacher_disagreement_score":0.016466446,"about_ca_system_score_codex":0.0022615918,"about_ca_system_score_gemma":0.002260044,"threshold_uncertainty_score":0.05508572},"labels":[],"label_agreement":null},{"id":"W2597846560","doi":"10.1057/s41274-017-0201-z","title":"Dig-limits optimization through mixed-integer linear programming in open-pit mines","year":2017,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Loader; Excavator; Open-pit mining; Integer programming; Linear programming; Engineering; Computer science; Mining engineering; Civil engineering; Mathematical optimization; Mathematics; Mechanical engineering","score_opus":0.133189246430766,"score_gpt":0.40414308883617944,"score_spread":0.2709538424054134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597846560","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":[0.100132346,0.0016215384,0.8779827,0.00061018736,0.00012703668,0.00023453092,0.00053380954,0.00052808697,0.018229874],"genre_scores_gemma":[0.78018254,0.0006617001,0.20821826,0.00025709646,0.00003869335,0.00045872826,0.0004619354,0.00014925849,0.0095717525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990721,0.00045490684,0.000030814004,0.00012669407,0.00014348407,0.00017188622],"domain_scores_gemma":[0.9980128,0.0015725953,0.00015017792,0.000042434065,0.0001330028,0.000089020585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019375316,0.0016256402,0.0015331731,0.00089051307,0.0004946709,0.0018666658,0.0013382273,0.0014660556,0.00384514],"category_scores_gemma":[0.0027985256,0.0013506184,0.0012882376,0.0011489394,0.0010000255,0.0010852634,0.0012783203,0.0013489312,0.00037563944],"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":[0.000027140139,0.000028505758,0.00018017172,0.000040906747,0.000014226702,0.000042105803,0.000010959031,0.9936318,0.00013994168,0.0021671215,0.00024402096,0.0034731973],"study_design_scores_gemma":[0.000007773667,0.00002322781,0.000048379625,0.0000071763625,0.0000050797407,0.0000064310952,0.000013970934,0.997771,0.00009185253,0.001759478,0.0002626453,0.0000029346677],"about_ca_topic_score_codex":0.010567467,"about_ca_topic_score_gemma":0.0101994565,"teacher_disagreement_score":0.010567467,"about_ca_system_score_codex":0.0017099931,"about_ca_system_score_gemma":0.0016615512,"threshold_uncertainty_score":0.021011889},"labels":[],"label_agreement":null},{"id":"W2609829388","doi":"10.1057/s41274-017-0213-8","title":"Managing losses in exotic horse race wagering","year":2017,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Race (biology); Horse racing; Integer (computer science); Horizon; Horse; Mathematics; Computer science; Actuarial science; Econometrics; Business; Sociology; Biology","score_opus":0.16688297412231853,"score_gpt":0.3554627726158944,"score_spread":0.18857979849357584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609829388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7085967,0.00074215676,0.28381097,0.0005049882,0.00004819166,0.000149514,0.0001600332,0.00020477698,0.005782636],"genre_scores_gemma":[0.9896404,0.00015337935,0.007509479,0.000029100864,0.000023839322,0.000030217054,0.0000623404,0.000023328828,0.0025278544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922884,0.0002629944,0.000026753432,0.00014937231,0.00009906568,0.00023290774],"domain_scores_gemma":[0.9979386,0.0010705274,0.00045210973,0.00010094899,0.00012472077,0.0003132085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002133708,0.0011724299,0.0012461607,0.00061844074,0.0006046849,0.0023172298,0.0017618058,0.0017003494,0.0021294744],"category_scores_gemma":[0.0044424245,0.0005847168,0.0005562105,0.00040840465,0.0012033725,0.0018735763,0.0015773876,0.001152302,0.00016335813],"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":[0.00019008412,0.00014865208,0.006349851,0.00006707466,0.000050845698,0.0004290599,0.00014472399,0.96877575,0.0015822529,0.006334588,0.00045898237,0.015468107],"study_design_scores_gemma":[0.000014854021,0.00017191467,0.0027826414,0.000013407952,0.00002184535,0.00012894148,0.00011714174,0.9886071,0.00053636584,0.0071671843,0.000420886,0.000017791775],"about_ca_topic_score_codex":0.0060673975,"about_ca_topic_score_gemma":0.0044927867,"teacher_disagreement_score":0.0060673975,"about_ca_system_score_codex":0.00087262905,"about_ca_system_score_gemma":0.0006737197,"threshold_uncertainty_score":0.012064159},"labels":[],"label_agreement":null},{"id":"W2790169410","doi":"10.1080/01605682.2018.1440159","title":"Two-period pricing and ordering policy with price-sensitive uncertain demand","year":2018,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Economics; Demand management; Purchasing; Microeconomics; Product (mathematics); Supply chain; Industrial organization; Business; Marketing; Operations management","score_opus":0.04519415541789498,"score_gpt":0.33122021541783303,"score_spread":0.286026059999938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790169410","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":[0.33296692,0.0015374535,0.6389791,0.0035102793,0.00037961086,0.00027742854,0.0012291607,0.00039991218,0.020720035],"genre_scores_gemma":[0.9762849,0.00047131005,0.012376188,0.00009537701,0.00009585692,0.000075480224,0.0001747864,0.00003767019,0.0103883855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977423,0.00084742834,0.00009813484,0.00039742113,0.00023377647,0.0006810401],"domain_scores_gemma":[0.99215066,0.0051288633,0.0011148757,0.00042519142,0.00050707976,0.00067339075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003912,0.0012363372,0.002433797,0.0008912278,0.000926222,0.0029637106,0.0028188252,0.0035233784,0.007765388],"category_scores_gemma":[0.009996785,0.0012323351,0.0015035414,0.0015849846,0.0018422139,0.0040530097,0.0013854251,0.0029900288,0.0007469029],"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":[0.0004951806,0.00014599744,0.0012176617,0.00013384044,0.00007502858,0.0005870027,0.00011742978,0.8906112,0.0011221819,0.0987107,0.001531359,0.005252413],"study_design_scores_gemma":[0.000038665028,0.000060102575,0.00028442414,0.0000069122475,0.000022327462,0.00005174416,0.000040614068,0.9842025,0.00015467426,0.014751073,0.0003641483,0.00002292079],"about_ca_topic_score_codex":0.0066998163,"about_ca_topic_score_gemma":0.0037613628,"teacher_disagreement_score":0.007765388,"about_ca_system_score_codex":0.003159875,"about_ca_system_score_gemma":0.0019131609,"threshold_uncertainty_score":0.02597779},"labels":[],"label_agreement":null},{"id":"W2794077441","doi":"10.1080/01605682.2018.1438761","title":"Applications of logic constrained equilibria to traffic networks and to power systems with storage","year":2018,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Computer science; Operations research; Information system; Scheduling (production processes); Computer data storage; Mathematical optimization; Engineering; Mathematics; Electrical engineering; Operating system","score_opus":0.03878335184551547,"score_gpt":0.3702936247805295,"score_spread":0.33151027293501406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794077441","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":[0.045213923,0.0009593283,0.91098535,0.0019397344,0.000103788734,0.00006688896,0.00016399485,0.00008021587,0.040486813],"genre_scores_gemma":[0.89612955,0.0019192717,0.089437254,0.00042758157,0.0002867272,0.00018771044,0.00014952813,0.00009113132,0.011371233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985262,0.00088970584,0.000047917565,0.00013797398,0.0002026868,0.00019533752],"domain_scores_gemma":[0.9938653,0.004772143,0.00061492744,0.00020669903,0.00034123068,0.0001997095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002276309,0.0013884584,0.0007386031,0.0011253731,0.0010018034,0.0021626677,0.0013021717,0.0016089841,0.0075260657],"category_scores_gemma":[0.010499228,0.00052720576,0.001261664,0.0016261232,0.0025170469,0.0038426882,0.0022419388,0.0021505726,0.00038390647],"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":[0.00001790057,0.00002533794,0.0002917809,0.00004715084,0.000021257816,0.00014759735,0.00007776061,0.23387305,0.00030424874,0.76024455,0.00052283506,0.0044264933],"study_design_scores_gemma":[0.000015682142,0.000026456035,0.0000777661,0.000024848665,0.000013508142,0.000049543458,0.000082394865,0.4344744,0.00024963712,0.56290114,0.0020695021,0.000015197219],"about_ca_topic_score_codex":0.0041879714,"about_ca_topic_score_gemma":0.003100789,"teacher_disagreement_score":0.0075260657,"about_ca_system_score_codex":0.0025685984,"about_ca_system_score_gemma":0.0013523741,"threshold_uncertainty_score":0.02517724},"labels":[],"label_agreement":null},{"id":"W2800456440","doi":"10.1080/01605682.2017.1409411","title":"A two-period sourcing model with demand and supply risks","year":2018,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; Laurentian University","funders":"","keywords":"Purchasing; Production (economics); Yield (engineering); Product (mathematics); Carry (investment); Business; Industrial organization; Economics; Microeconomics; Marketing; Finance","score_opus":0.09225693361927755,"score_gpt":0.34672434751926456,"score_spread":0.254467413899987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800456440","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":[0.31685212,0.006645377,0.5614395,0.011823812,0.00091524416,0.0011092763,0.0068592113,0.0008036425,0.093551874],"genre_scores_gemma":[0.88105035,0.0026660669,0.026887355,0.0006010057,0.0003725178,0.0006874644,0.0010481761,0.00013534032,0.08655179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979292,0.0007038863,0.000105674466,0.00054961006,0.00022788599,0.00048371952],"domain_scores_gemma":[0.9936283,0.0040159803,0.0009905613,0.00025340222,0.00042502925,0.00068668375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046956684,0.0029498094,0.003931323,0.0018689879,0.0018696755,0.0055589983,0.0062532485,0.010850884,0.02603371],"category_scores_gemma":[0.006507533,0.002186707,0.0030791718,0.002557267,0.0025465325,0.0049614115,0.0028785712,0.0049255667,0.0027097976],"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":[0.00073793123,0.00041935433,0.0023283225,0.00048728785,0.00022662526,0.0027824866,0.0005097121,0.8212984,0.0027364735,0.15795365,0.0032651704,0.0072545577],"study_design_scores_gemma":[0.0003828616,0.00032827872,0.00085704564,0.00007908764,0.00013942267,0.00035341774,0.00026313838,0.9504177,0.00028871233,0.042924136,0.0038281195,0.00013809923],"about_ca_topic_score_codex":0.016026823,"about_ca_topic_score_gemma":0.007905765,"teacher_disagreement_score":0.02603371,"about_ca_system_score_codex":0.0041369097,"about_ca_system_score_gemma":0.003002748,"threshold_uncertainty_score":0.08709139},"labels":[],"label_agreement":null},{"id":"W2801514619","doi":"10.1080/01605682.2018.1457482","title":"A secondary goal in DEA cross-efficiency evaluation: A “one home run is much better than two doubles” criterion","year":2018,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Data envelopment analysis; Weighting; Mathematical optimization; Ranking (information retrieval); Efficiency; Computer science; Cardinality (data modeling); Ideal point; Set (abstract data type); Point (geometry); Operations research; Mathematics; Statistics; Data mining; Estimator; Artificial intelligence","score_opus":0.2150128802638039,"score_gpt":0.5223569650793601,"score_spread":0.3073440848155562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801514619","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":[0.016036572,0.000631502,0.96389085,0.00068462396,0.00013044002,0.00017229975,0.00016172994,0.00023127232,0.018060679],"genre_scores_gemma":[0.38310215,0.0005793802,0.6037399,0.00060185674,0.00015290407,0.0009367694,0.0006146141,0.0005101408,0.009762255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.985686,0.0072422735,0.0007078903,0.0015667938,0.003928921,0.0008681132],"domain_scores_gemma":[0.98859465,0.0056814617,0.0012356648,0.0013116486,0.0028856655,0.00029096392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012975277,0.0025401274,0.0028472873,0.0029002097,0.0016226904,0.005747341,0.0017141545,0.002960625,0.006337402],"category_scores_gemma":[0.022386562,0.0006629201,0.002796405,0.0041540577,0.001881619,0.0045070876,0.0036470732,0.0035200298,0.001293384],"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":[0.00043865177,0.00045769432,0.0062114275,0.0014202277,0.0007267794,0.00046960442,0.0008844377,0.34886584,0.008364662,0.37508985,0.0115535315,0.2455173],"study_design_scores_gemma":[0.00007365843,0.0005307354,0.0044913366,0.00042193325,0.00024968782,0.00052471424,0.0005132876,0.7796067,0.011749372,0.17007656,0.031563245,0.00019874715],"about_ca_topic_score_codex":0.0029176304,"about_ca_topic_score_gemma":0.0031197045,"teacher_disagreement_score":0.012975277,"about_ca_system_score_codex":0.002221699,"about_ca_system_score_gemma":0.0041406658,"threshold_uncertainty_score":0.06862062},"labels":[],"label_agreement":null},{"id":"W2808256502","doi":"10.1080/01605682.2017.1390532","title":"Mathematical model, heuristics and exact method for order picking in narrow aisles","year":2017,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Transport Canada","funders":"Canadian Natural Resources Limited","keywords":"Aisle; Heuristics; Order picking; Computer science; Operator (biology); Set (abstract data type); Mathematical optimization; Representation (politics); Order (exchange); Operations research; Purchasing; Industrial engineering; Warehouse; Mathematics; Operations management; Engineering","score_opus":0.0885045417755892,"score_gpt":0.41407966613031094,"score_spread":0.32557512435472175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808256502","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":[0.011827933,0.0010261693,0.9776023,0.00039531424,0.00007354177,0.00015413936,0.00030287373,0.00025566382,0.008361986],"genre_scores_gemma":[0.2507956,0.0023423398,0.73450184,0.00022545949,0.00015384932,0.00071942713,0.00070664403,0.00022891282,0.01032605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945587,0.00019668769,0.000025592908,0.000079998936,0.00015593204,0.00008588012],"domain_scores_gemma":[0.99858934,0.001030074,0.0001479071,0.00007111294,0.000110323745,0.00005125611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011464412,0.0011600842,0.001313523,0.0013528076,0.0007544236,0.0021434093,0.0021090375,0.0017710987,0.0061886217],"category_scores_gemma":[0.0032025517,0.000921137,0.0015686472,0.0023385833,0.0012996757,0.0015816657,0.00093118334,0.0017941291,0.0011175158],"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":[0.000011048436,0.00002046467,0.00008344431,0.000062468534,0.0000072612015,0.000029320943,0.000019079866,0.9808301,0.00018802528,0.013162923,0.00066988764,0.0049160835],"study_design_scores_gemma":[0.000009839241,0.000012248801,0.000036368358,0.000011627075,0.0000048376405,0.000012724972,0.0000142553845,0.98726535,0.00008436719,0.011600477,0.0009429408,0.0000049284467],"about_ca_topic_score_codex":0.014240333,"about_ca_topic_score_gemma":0.013697612,"teacher_disagreement_score":0.014240333,"about_ca_system_score_codex":0.0026403593,"about_ca_system_score_gemma":0.0030119182,"threshold_uncertainty_score":0.028314888},"labels":[],"label_agreement":null},{"id":"W2897949212","doi":"10.1080/01605682.2018.1495158","title":"Data envelopment analysis with interactive fuzzy variables","year":2018,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sheridan College","funders":"National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Data envelopment analysis; Fuzzy logic; Computer science; Data mining; Operations research; Fuzzy number; Purchasing; Fuzzy set operations; Fuzzy set; Mathematical optimization; Mathematics; Artificial intelligence; Operations management; Engineering","score_opus":0.2713218926309562,"score_gpt":0.5100930516040802,"score_spread":0.23877115897312406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897949212","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":[0.008681809,0.00030389483,0.9891874,0.000057527628,0.000011519128,0.000028710165,0.00004855459,0.00003512223,0.0016454795],"genre_scores_gemma":[0.71951485,0.0012388942,0.2770142,0.000061845,0.000047613743,0.0003036572,0.00021154733,0.000037618258,0.0015697208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996899,0.0013678011,0.00022414827,0.00031467047,0.0010335353,0.00016086912],"domain_scores_gemma":[0.9979411,0.0012964631,0.00021510037,0.00019372893,0.00032261977,0.000030948395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003756868,0.0014299735,0.0012065931,0.0019847287,0.00046177572,0.002191006,0.0010555343,0.000940222,0.0011657836],"category_scores_gemma":[0.006987362,0.0003442309,0.0015447381,0.0031163797,0.0008343351,0.0022078499,0.0014984936,0.0013468722,0.00021140628],"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":[0.00003540183,0.000038667054,0.00077476323,0.00014753493,0.00012328097,0.000098508506,0.00011797335,0.8518887,0.0017271946,0.119425714,0.00024066701,0.025381587],"study_design_scores_gemma":[0.0000038567305,0.000019142582,0.00018266303,0.00001615476,0.00001550221,0.000013489931,0.000023225413,0.9720453,0.0008911255,0.025675192,0.0011027338,0.000011525771],"about_ca_topic_score_codex":0.0040185046,"about_ca_topic_score_gemma":0.0014147559,"teacher_disagreement_score":0.0040185046,"about_ca_system_score_codex":0.0019688322,"about_ca_system_score_gemma":0.0013799276,"threshold_uncertainty_score":0.019868433},"labels":[],"label_agreement":null},{"id":"W2909094368","doi":"10.1080/01605682.2018.1510805","title":"Discrete-event simulation and design of experiments to study ambulatory patient waiting time in an emergency department","year":2019,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Overcrowding; Emergency department; Ambulatory; Medical emergency; Medicine; Ambulatory care; Front line; Emergency medicine; Health care; Nursing","score_opus":0.0892249545169544,"score_gpt":0.4464426326439867,"score_spread":0.3572176781270323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909094368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5272124,0.0011498475,0.4450259,0.00073008396,0.0010718994,0.013707492,0.0027866703,0.00070054276,0.007615192],"genre_scores_gemma":[0.8001745,0.0006910079,0.16321895,0.0002951448,0.00009441117,0.03207172,0.0007183248,0.00003484921,0.0027010613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98788154,0.009429154,0.00042240907,0.00085099076,0.0006497373,0.0007662],"domain_scores_gemma":[0.93247974,0.060105603,0.0038474286,0.0013008051,0.0017379534,0.000528434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023159526,0.0015771609,0.0017112675,0.0012581354,0.0006330316,0.0017698752,0.0017509034,0.0016223745,0.0046841875],"category_scores_gemma":[0.028592657,0.0006346612,0.0029112757,0.000871869,0.0012374105,0.00064024987,0.0009529337,0.0025316193,0.00034353213],"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":[0.010163263,0.009530977,0.02805321,0.003253882,0.0025671269,0.00031857681,0.0011080954,0.849659,0.0039715115,0.04662534,0.00214844,0.042600438],"study_design_scores_gemma":[0.0027535758,0.014048957,0.0076219602,0.0002551658,0.0007384724,0.000031625532,0.0006144876,0.95450956,0.003925163,0.010410854,0.0049860254,0.00010414547],"about_ca_topic_score_codex":0.007264779,"about_ca_topic_score_gemma":0.0038189234,"teacher_disagreement_score":0.023159526,"about_ca_system_score_codex":0.0027987757,"about_ca_system_score_gemma":0.0040659085,"threshold_uncertainty_score":0.12248069},"labels":[],"label_agreement":null},{"id":"W2911799554","doi":"10.1080/01605682.2018.1507424","title":"A robust optimization approach to model supply and demand uncertainties in inventory systems","year":2019,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematical optimization; Robust optimization; Computer science; Operations research; Tree (set theory); Robustness (evolution); Scheduling (production processes); Mathematics","score_opus":0.1968097072148363,"score_gpt":0.39835964848768435,"score_spread":0.20154994127284806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911799554","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":[0.0042221784,0.00023442849,0.9923584,0.00021072352,0.000018026449,0.000021079819,0.00006675148,0.000078536585,0.002789886],"genre_scores_gemma":[0.80458105,0.0010137481,0.18849596,0.00016443891,0.00015767282,0.0002440741,0.00018097063,0.00011533489,0.0050466782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988777,0.0005634424,0.00004783087,0.00018193644,0.00023558586,0.00009348786],"domain_scores_gemma":[0.99899775,0.00062236615,0.0001836884,0.00006041132,0.00010414772,0.000031686417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016440777,0.0011889281,0.0010555515,0.00062906515,0.0003342429,0.0013020774,0.0012964902,0.0015249954,0.0021130836],"category_scores_gemma":[0.0030459736,0.0006488981,0.0010677722,0.0009288325,0.0009795788,0.0017132243,0.0011262483,0.0016664839,0.0002676392],"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":[0.0000059524905,0.0000054451957,0.000042431966,0.000012131783,0.0000140399625,0.000014955115,0.000006722707,0.9851232,0.00018017349,0.012857123,0.00009637455,0.0016413825],"study_design_scores_gemma":[0.000001969539,0.000008393103,0.000016485355,0.0000021070728,0.0000030244576,0.0000030847864,0.000002340648,0.99377257,0.00006218548,0.00591974,0.00020566734,0.0000025264214],"about_ca_topic_score_codex":0.0049668476,"about_ca_topic_score_gemma":0.0027856512,"teacher_disagreement_score":0.0049668476,"about_ca_system_score_codex":0.0011561232,"about_ca_system_score_gemma":0.0012351272,"threshold_uncertainty_score":0.009875894},"labels":[],"label_agreement":null},{"id":"W2969271328","doi":"10.1080/01605682.2019.1650625","title":"A two-echelon location-routing problem with synchronisation","year":2019,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Routing (electronic design automation); Vehicle routing problem; Facility location problem; Heuristic; Operations research; Mathematical optimization; Heuristics; Space (punctuation); Service (business); Computer network; Mathematics; Economics","score_opus":0.040601488755116454,"score_gpt":0.2840266485880459,"score_spread":0.24342515983292942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969271328","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":[0.10749944,0.0007054723,0.86918044,0.0018300872,0.00025393697,0.00030542,0.0018413195,0.00033883087,0.018045053],"genre_scores_gemma":[0.6974635,0.0006315648,0.28534478,0.00024068143,0.0001512475,0.000390396,0.0017270395,0.00016366437,0.013887059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836105,0.0006204763,0.00008307551,0.0005186531,0.00015430622,0.00026242272],"domain_scores_gemma":[0.9985393,0.0008943607,0.00014295326,0.00012630304,0.00010794558,0.00018904108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013154773,0.0009993055,0.0015627487,0.00071341114,0.0008360831,0.002365201,0.0018622571,0.0025376447,0.009216535],"category_scores_gemma":[0.0033928908,0.0006059836,0.0012652598,0.0020140652,0.0009253042,0.0029966629,0.0022310663,0.0017628092,0.0006632841],"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":[0.00014043819,0.00011703874,0.0006102522,0.0001641942,0.000041217743,0.00029974038,0.00008289379,0.93989235,0.000996953,0.0382639,0.0025794771,0.016811425],"study_design_scores_gemma":[0.0000966981,0.000098676894,0.0003543633,0.000020033436,0.0000209505,0.00020270444,0.00013782541,0.9610578,0.00083260256,0.03232489,0.00482445,0.000029045279],"about_ca_topic_score_codex":0.00411923,"about_ca_topic_score_gemma":0.0032299887,"teacher_disagreement_score":0.009216535,"about_ca_system_score_codex":0.0016241263,"about_ca_system_score_gemma":0.0016214217,"threshold_uncertainty_score":0.03083241},"labels":[],"label_agreement":null},{"id":"W2969973120","doi":"10.1080/01605682.2019.1644978","title":"Strategic joining in an M/M/K queue with asynchronous and synchronous multiple vacations","year":2019,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Unobservable; Social planner; Social Welfare; Asynchronous communication; Queue; Microeconomics; Computer science; Queueing theory; Operations research; Business; Economics; Econometrics; Mathematics; Computer network","score_opus":0.044773392016632066,"score_gpt":0.32200251657684503,"score_spread":0.277229124560213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969973120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9405894,0.000102759754,0.05565556,0.0003694396,0.00002382018,0.000051405634,0.00005691333,0.00003322658,0.0031175541],"genre_scores_gemma":[0.9964766,0.000034093468,0.0023618962,0.000028550234,0.00000980507,0.000015577554,0.000016268797,0.0000049069104,0.0010522068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861777,0.00044977342,0.000050894,0.00019923355,0.00013579047,0.00054642523],"domain_scores_gemma":[0.99508864,0.0026526114,0.00097532343,0.00015418245,0.0003730399,0.0007562494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021412992,0.00060842553,0.0009331933,0.00048337586,0.00097334624,0.0018090457,0.001511756,0.0014602329,0.0031832748],"category_scores_gemma":[0.005797025,0.00038413092,0.0007623157,0.00050707266,0.0012545162,0.0018553388,0.0010997406,0.0010137637,0.00028014873],"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":[0.0019411835,0.00094462116,0.038076602,0.00022882473,0.0002550819,0.0022849122,0.00160548,0.7412159,0.015929537,0.1770261,0.0019011903,0.018590542],"study_design_scores_gemma":[0.000059438935,0.00025889365,0.0024403112,0.000007797934,0.000034307206,0.00009614393,0.0005501246,0.9838209,0.00061418087,0.0118299285,0.00025445438,0.00003345839],"about_ca_topic_score_codex":0.0070874533,"about_ca_topic_score_gemma":0.0052470956,"teacher_disagreement_score":0.0070874533,"about_ca_system_score_codex":0.0013825155,"about_ca_system_score_gemma":0.001320352,"threshold_uncertainty_score":0.014092386},"labels":[],"label_agreement":null},{"id":"W2970111987","doi":"10.1080/01605682.2019.1630329","title":"Measuring efficiency in DEA in the presence of common inputs","year":2019,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Data envelopment analysis; Operations research; Computer science; Econometrics; Economics; Engineering; Statistics; Mathematics","score_opus":0.22522349012576287,"score_gpt":0.46056105905256894,"score_spread":0.23533756892680607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970111987","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":[0.04143675,0.0003803063,0.95269555,0.00014672017,0.000019428951,0.000107780266,0.00013654608,0.000063393265,0.005013575],"genre_scores_gemma":[0.68889177,0.000663436,0.30756593,0.00008056386,0.00003968305,0.00059938565,0.00040488775,0.00005213275,0.0017022863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97654754,0.013219719,0.0016210712,0.0030272994,0.0048963367,0.000687994],"domain_scores_gemma":[0.9665431,0.026152948,0.003041284,0.0025556113,0.0015048233,0.00020236177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016941998,0.0019377614,0.0023159205,0.0036791398,0.00069571496,0.0052557616,0.0019185744,0.0017567005,0.0012605428],"category_scores_gemma":[0.037130196,0.0008516244,0.0023959407,0.0052212575,0.0020912734,0.00483573,0.0030340855,0.0019730586,0.00027263246],"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":[0.00009714025,0.00012312207,0.004340422,0.00028942325,0.00041425918,0.00015474176,0.00022227525,0.80558074,0.0019608608,0.14771993,0.00020281885,0.038894247],"study_design_scores_gemma":[0.000015095363,0.00013551458,0.0022834975,0.00007308435,0.000068011555,0.000082046914,0.00015140066,0.9007346,0.002461574,0.0913719,0.0025774783,0.000045883902],"about_ca_topic_score_codex":0.0023978597,"about_ca_topic_score_gemma":0.0010820208,"teacher_disagreement_score":0.016941998,"about_ca_system_score_codex":0.0027586704,"about_ca_system_score_gemma":0.0018206848,"threshold_uncertainty_score":0.089598894},"labels":[],"label_agreement":null},{"id":"W3001004579","doi":"10.1080/01605682.2019.1700179","title":"Sublevel stope layout planning through a greedy heuristic approach based on dynamic programming","year":2020,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Heuristics; Computer science; Benchmark (surveying); Heuristic; Greedy algorithm; Limit (mathematics); Set (abstract data type); Plan (archaeology); Algorithm; Mathematics","score_opus":0.13362556708655565,"score_gpt":0.35436592306229325,"score_spread":0.2207403559757376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3001004579","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":[0.015056641,0.00029654944,0.9788737,0.00014505743,0.000038182552,0.00012173405,0.00009264325,0.0005864823,0.0047889277],"genre_scores_gemma":[0.29564133,0.00037317225,0.6991888,0.00012994946,0.00002853582,0.00032505696,0.00028342794,0.00022611258,0.00380361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958605,0.000096355754,0.000015548494,0.000087090855,0.00011708274,0.00009788247],"domain_scores_gemma":[0.9995146,0.0002987598,0.00004739688,0.00004143569,0.00006266264,0.000035129142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047049846,0.0010688544,0.0012762911,0.0009512084,0.00055080216,0.0010454516,0.0010784551,0.00083625485,0.0039112163],"category_scores_gemma":[0.0009643615,0.0007652649,0.0009447892,0.0010635549,0.00064369483,0.0008534843,0.00090190984,0.0009880037,0.00040722147],"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":[0.00003499943,0.000048218164,0.00023488287,0.00008598646,0.000025768572,0.00007612429,0.000040807958,0.9382499,0.0017178024,0.0076567857,0.0016033613,0.050225276],"study_design_scores_gemma":[0.000008563195,0.000025673504,0.0000508094,0.0000054841303,0.000006838825,0.000021153057,0.000018122093,0.9952394,0.00044146794,0.0032447234,0.0009322239,0.0000054924362],"about_ca_topic_score_codex":0.0071493722,"about_ca_topic_score_gemma":0.010470247,"teacher_disagreement_score":0.0071493722,"about_ca_system_score_codex":0.0010459841,"about_ca_system_score_gemma":0.002304659,"threshold_uncertainty_score":0.014215529},"labels":[],"label_agreement":null},{"id":"W3002166437","doi":"10.1080/01605682.2019.1685362","title":"Near-optimal search-and-rescue path planning for a moving target","year":2020,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Mathematical optimization; Computer science; Motion planning; Heuristic; Integer programming; Path (computing); Computational complexity theory; Mathematics; Algorithm; Artificial intelligence","score_opus":0.11041881033095456,"score_gpt":0.375413378670801,"score_spread":0.2649945683398464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002166437","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":[0.018968893,0.00010579085,0.9781845,0.00018875363,0.0000126463565,0.000035936144,0.00004776505,0.00010597999,0.0023496652],"genre_scores_gemma":[0.69129515,0.0002581968,0.30284685,0.000075525844,0.00002773072,0.00019067436,0.00017677296,0.000089442896,0.005039644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969125,0.00010005972,0.000013619707,0.00009676557,0.00005638196,0.000041939653],"domain_scores_gemma":[0.9992015,0.00058194,0.00008670042,0.00004020574,0.000055127693,0.00003452153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006923969,0.00064318976,0.00076366006,0.00038820817,0.00047528904,0.00070929417,0.00077376125,0.0010987562,0.0026289145],"category_scores_gemma":[0.0018156059,0.0003965251,0.00056053203,0.00040212568,0.00086081325,0.0010613509,0.0011770312,0.0012606449,0.00028393127],"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":[0.00003537439,0.000024936699,0.00019809436,0.000052283245,0.000015024582,0.00005596083,0.00004997788,0.968456,0.0008213982,0.014534966,0.0004915071,0.015264555],"study_design_scores_gemma":[0.000006185468,0.000030167235,0.000059394286,0.000003452177,0.0000040126965,0.000018916813,0.000022907187,0.99129605,0.00028575404,0.007923612,0.0003456249,0.000003887055],"about_ca_topic_score_codex":0.003296805,"about_ca_topic_score_gemma":0.0034162092,"teacher_disagreement_score":0.003296805,"about_ca_system_score_codex":0.00069439545,"about_ca_system_score_gemma":0.0013415809,"threshold_uncertainty_score":0.008794606},"labels":[],"label_agreement":null},{"id":"W3016112440","doi":"10.1080/01605682.2019.1678409","title":"Efficiency measurement for hierarchical situations","year":2020,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Data envelopment analysis; Computer science; Operations research; Set (abstract data type); Aggregate (composite); Projection (relational algebra); Efficient frontier; Unit (ring theory); Project management; Industrial engineering; Mathematical optimization; Economics; Engineering; Mathematics; Systems engineering; Portfolio; Algorithm","score_opus":0.46168337662408426,"score_gpt":0.5017266302751442,"score_spread":0.04004325365105993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016112440","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":[0.03222225,0.00048418558,0.94127405,0.00038153853,0.000037358503,0.0002585645,0.0003341714,0.00013611728,0.024871774],"genre_scores_gemma":[0.7116102,0.0005413383,0.2849845,0.00012281878,0.00008172541,0.000479363,0.00043867205,0.000058654918,0.0016828604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9833906,0.00840948,0.0011070551,0.0022851771,0.0035125616,0.0012950787],"domain_scores_gemma":[0.9774055,0.013904151,0.0032039483,0.0030099887,0.0019023204,0.00057401217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01030034,0.0011740739,0.0010663845,0.0038407536,0.0012862497,0.004309105,0.0013825148,0.0013472794,0.0063069128],"category_scores_gemma":[0.044220574,0.0006195032,0.001659933,0.004491861,0.0028463763,0.0067012254,0.0045296894,0.0023368094,0.0006648119],"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":[0.0000790786,0.0001320307,0.0069958945,0.00030501693,0.0001110244,0.00013583628,0.00092156074,0.14229819,0.0011406258,0.7857045,0.0018808197,0.060295448],"study_design_scores_gemma":[0.000022928936,0.00015851081,0.008088057,0.00016878425,0.00004817742,0.0001447514,0.0010820111,0.4144718,0.001077299,0.56473684,0.009940344,0.000060544546],"about_ca_topic_score_codex":0.0036809423,"about_ca_topic_score_gemma":0.002644422,"teacher_disagreement_score":0.01030034,"about_ca_system_score_codex":0.0035327727,"about_ca_system_score_gemma":0.0017212788,"threshold_uncertainty_score":0.054474056},"labels":[],"label_agreement":null},{"id":"W3036432451","doi":"10.1080/01605682.2020.1755897","title":"Algorithms for the Calzedonia workload allocation problem","year":2020,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; University of Bath","keywords":"Workload; Computer science; Mathematical optimization; Heuristic; Metaheuristic; Variable neighborhood search; Scheduling (production processes); Sequence (biology); Heuristics; Variable (mathematics); Job shop scheduling; Simple (philosophy); Project management; Process (computing); Operations research; Algorithm; Mathematics; Artificial intelligence; Schedule; Engineering","score_opus":0.07282075552152109,"score_gpt":0.34219029445526494,"score_spread":0.2693695389337438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036432451","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":[0.02704085,0.00095756195,0.93844503,0.0008180731,0.00021609863,0.0005760114,0.0005400851,0.0012322861,0.03017399],"genre_scores_gemma":[0.21252441,0.00093271665,0.76844347,0.00040024065,0.00013550262,0.0010871926,0.0015282342,0.00026522003,0.014683038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938846,0.00014424553,0.000030783045,0.00015016622,0.00012921222,0.00015709003],"domain_scores_gemma":[0.999342,0.0003727941,0.000070829694,0.000054654545,0.00010960372,0.00005003697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010039011,0.0015666636,0.0009544552,0.0010151167,0.000856777,0.0022926803,0.002491975,0.0017548191,0.009943476],"category_scores_gemma":[0.0029161174,0.0005927416,0.00080082956,0.0015299778,0.00056563225,0.0010979595,0.0014110658,0.001427814,0.0014099913],"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":[0.00016301635,0.00015510053,0.00041349235,0.0002392817,0.000034831835,0.000115609015,0.000112591544,0.8474044,0.0011102061,0.031458035,0.0106171,0.10817636],"study_design_scores_gemma":[0.00009075555,0.00003784019,0.00012544407,0.000027906692,0.000010798604,0.00003819536,0.000049766946,0.9816143,0.00030718988,0.013298012,0.004391394,0.000008369652],"about_ca_topic_score_codex":0.0127591025,"about_ca_topic_score_gemma":0.01602629,"teacher_disagreement_score":0.0127591025,"about_ca_system_score_codex":0.0024207549,"about_ca_system_score_gemma":0.0030209522,"threshold_uncertainty_score":0.03326428},"labels":[],"label_agreement":null},{"id":"W3038132896","doi":"10.1080/01605682.2020.1766848","title":"Special issue on <i>healthcare behavioural OR</i>","year":2020,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Health care; Project management; Information and Communications Technology; Operations research; Computer science; Management science; Management; Economics; Engineering; Economic growth; World Wide Web","score_opus":0.37355796743339237,"score_gpt":0.5388450722009438,"score_spread":0.16528710476755143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038132896","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00043005953,0.011395102,0.0010701236,0.028855106,0.8694016,0.0000989094,0.0008888884,0.0002516709,0.087608635],"genre_scores_gemma":[0.00261049,0.012749366,0.00072742626,0.012748752,0.73029053,0.00010092742,0.0015189317,0.00029867026,0.23895492],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988576,0.00015736248,0.00013678827,0.00018178362,0.00049779436,0.0001685555],"domain_scores_gemma":[0.99393785,0.0017110062,0.00041493966,0.0003368517,0.0022411167,0.0013581398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019576754,0.0017681977,0.0015167934,0.002475849,0.00097056344,0.004386102,0.0016487828,0.0044977134,0.21329725],"category_scores_gemma":[0.006039705,0.0004580377,0.0013070512,0.0014438047,0.00095624884,0.0025304384,0.0017214951,0.0030678425,0.080726005],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030460127,0.00001570365,0.00008203961,0.00013749117,0.0000042989,0.000052825788,0.000006118243,0.000027292252,0.00011849902,0.00063617754,0.9836956,0.015193463],"study_design_scores_gemma":[0.000010050729,0.000040426716,0.0006338637,0.00020924465,0.0000068164536,0.00018651756,0.000019870991,0.000089761525,0.000080195416,0.0012596301,0.99745554,0.000008096516],"about_ca_topic_score_codex":0.0015743693,"about_ca_topic_score_gemma":0.0036971904,"teacher_disagreement_score":0.21329725,"about_ca_system_score_codex":0.0015041449,"about_ca_system_score_gemma":0.0018556692,"threshold_uncertainty_score":0.7135504},"labels":[],"label_agreement":null},{"id":"W3095370396","doi":"10.1080/01605682.2020.1824550","title":"Tri-party reverse supply chain coordination with competitive product acquisition process","year":2020,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Supply chain; Product (mathematics); Incentive; Business; Quality (philosophy); Competition (biology); Industrial organization; Purchasing; Control (management); Process (computing); Tariff; Computer science; Operations research; Microeconomics; Marketing; Economics; Engineering","score_opus":0.03376628389292194,"score_gpt":0.2980879861201479,"score_spread":0.26432170222722595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095370396","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":[0.16188253,0.00034865472,0.81068575,0.00092598697,0.000113715294,0.00029652315,0.00026790219,0.00024890513,0.0252301],"genre_scores_gemma":[0.96030533,0.0002811954,0.026110176,0.000081028375,0.000039158855,0.0002493302,0.00009902255,0.000029352073,0.012805272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969543,0.0009889104,0.00012993262,0.0007970398,0.00046367603,0.000666188],"domain_scores_gemma":[0.9959521,0.0016104208,0.0010064717,0.00034658975,0.00061309745,0.00047125007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030916033,0.0013445241,0.0020018104,0.0011190845,0.0013118928,0.0031067305,0.0031940888,0.0031692928,0.009629641],"category_scores_gemma":[0.004229446,0.00095317705,0.0016376894,0.0015323558,0.002561274,0.0033701807,0.0025329455,0.0019019111,0.0010686809],"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":[0.00026898787,0.00012515779,0.00090767734,0.000089149544,0.000062027124,0.0010870761,0.00018123102,0.908791,0.002029099,0.080122724,0.0006504682,0.0056853974],"study_design_scores_gemma":[0.00006503325,0.00011172113,0.0002012281,0.000008755775,0.000028685408,0.00009534513,0.000072999355,0.98352873,0.00027276293,0.014813539,0.00077730423,0.000023983539],"about_ca_topic_score_codex":0.008356944,"about_ca_topic_score_gemma":0.004248287,"teacher_disagreement_score":0.009629641,"about_ca_system_score_codex":0.002811086,"about_ca_system_score_gemma":0.0020315573,"threshold_uncertainty_score":0.032214344},"labels":[],"label_agreement":null},{"id":"W3112689802","doi":"10.1080/01605682.2020.1843980","title":"Regulatory jurisdiction and policy coordination: A bi-level modeling approach for performance-based environmental policy","year":2020,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Stylized fact; Jurisdiction; Scope (computer science); Economics; State (computer science); Environmental regulation; Public economics; Environmental economics; Industrial organization; Microeconomics; Business; Computer science; Political science; Macroeconomics","score_opus":0.26873481466085153,"score_gpt":0.33097810816000994,"score_spread":0.062243293499158414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112689802","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":[0.038080513,0.00026595654,0.9228428,0.003344735,0.000094636205,0.000132346,0.000366183,0.00019353954,0.034679268],"genre_scores_gemma":[0.84619194,0.00068179873,0.1322869,0.0006037655,0.00013153607,0.00070387824,0.0002498147,0.00016012846,0.018990183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797946,0.0011498589,0.00005580885,0.00029436822,0.0002419092,0.00027870413],"domain_scores_gemma":[0.99775654,0.0012209655,0.0003716908,0.00018343463,0.00024532553,0.00022197794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031603184,0.0010416926,0.0014071574,0.0010443904,0.0010815638,0.0036530162,0.0025684775,0.0028694975,0.008158143],"category_scores_gemma":[0.005985633,0.00084358355,0.0016026037,0.001457807,0.002066117,0.004063664,0.0029813542,0.0034744411,0.000754038],"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":[0.000021098182,0.00003992963,0.0005109024,0.000022801305,0.000029629124,0.00004980871,0.00008781859,0.7894112,0.00034271195,0.20695592,0.0004808275,0.0020472857],"study_design_scores_gemma":[0.00001119946,0.000015609841,0.00011090141,0.000007351267,0.000009669852,0.000008836271,0.000037792845,0.9393395,0.00005460891,0.059218366,0.0011776198,0.000008547918],"about_ca_topic_score_codex":0.014648628,"about_ca_topic_score_gemma":0.010309921,"teacher_disagreement_score":0.014648628,"about_ca_system_score_codex":0.0036361816,"about_ca_system_score_gemma":0.003930483,"threshold_uncertainty_score":0.029126704},"labels":[],"label_agreement":null},{"id":"W3170564327","doi":"10.1080/01605682.2021.1907238","title":"Information technology and performance: Integrating data envelopment analysis and configurational approach","year":2021,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Data envelopment analysis; Computer science; Information technology; Sample (material); Set (abstract data type); Performance measurement; Perspective (graphical); Investment (military); Operations research; Measure (data warehouse); Econometrics; Industrial organization; Business; Economics; Data mining; Marketing; Engineering; Statistics; Mathematics; Artificial intelligence","score_opus":0.1542810115454037,"score_gpt":0.43894782173292657,"score_spread":0.2846668101875229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170564327","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":[0.4155088,0.0017882262,0.56369346,0.00091867096,0.000037299447,0.00026707313,0.0007043913,0.00025477773,0.016827315],"genre_scores_gemma":[0.9685429,0.00036175078,0.03058627,0.000025805753,0.000012668969,0.00008652444,0.00018061725,0.000016662354,0.00018684467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99373865,0.0036068994,0.00043854828,0.0003973972,0.0015121788,0.00030637073],"domain_scores_gemma":[0.9835012,0.011477285,0.0019484995,0.001616689,0.0012223158,0.00023404315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068160323,0.0013291473,0.0013114973,0.008557546,0.0006241139,0.003858429,0.000799587,0.0009313102,0.00093089236],"category_scores_gemma":[0.028710254,0.0005256873,0.0011786759,0.014942979,0.0016587962,0.0042801937,0.0023700872,0.00098744,0.00017113939],"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":[0.00013292852,0.00025704733,0.08178366,0.00026610828,0.00058063614,0.00017590093,0.00082075776,0.7406283,0.0009967615,0.103349805,0.0005001689,0.07050795],"study_design_scores_gemma":[0.000015729736,0.0001540037,0.027593136,0.00012298484,0.00007918567,0.00008372764,0.0008530565,0.86278594,0.0013888966,0.104901604,0.0019259544,0.00009574809],"about_ca_topic_score_codex":0.008220567,"about_ca_topic_score_gemma":0.0036498776,"teacher_disagreement_score":0.008557546,"about_ca_system_score_codex":0.0032057548,"about_ca_system_score_gemma":0.0019978106,"threshold_uncertainty_score":0.03604704},"labels":[],"label_agreement":null},{"id":"W3170758597","doi":"10.1080/01605682.2021.1915193","title":"Dynamic assessment modelling for project portfolio benefits","year":2021,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Project management; Project portfolio management; Portfolio; Risk analysis (engineering); Management science; Realisation; Key (lock); Operations research; Systems engineering; Process management; Engineering; Business","score_opus":0.47338574630609437,"score_gpt":0.5609825844433983,"score_spread":0.08759683813730396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170758597","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":[0.042055808,0.00069911836,0.9358867,0.00049556413,0.000026501613,0.00014470915,0.00021037694,0.0001103154,0.020370921],"genre_scores_gemma":[0.9046563,0.001079364,0.083185874,0.00007003105,0.00002378652,0.0004993469,0.00022390283,0.00006135669,0.010200046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986822,0.0005827747,0.00005791537,0.00020762498,0.00030918125,0.0001603077],"domain_scores_gemma":[0.9983468,0.0010007244,0.00024121506,0.0000612262,0.0002856022,0.00006433663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023924832,0.0011055082,0.00066019763,0.0016221267,0.0005721508,0.002397375,0.0010736028,0.0014301587,0.0047570323],"category_scores_gemma":[0.0051543782,0.0005227163,0.0011820935,0.0014969633,0.0008322055,0.0018535622,0.0018975077,0.0012347879,0.0004592352],"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":[0.000016308364,0.000022560791,0.000938398,0.00006176922,0.000021116048,0.00009912643,0.00012376667,0.95054823,0.00073634664,0.035651013,0.00036501774,0.011416339],"study_design_scores_gemma":[0.000003572042,0.000019939196,0.0002986771,0.000019130242,0.000013539666,0.000025811338,0.000038850565,0.9838935,0.00016564714,0.014470429,0.0010422524,0.000008616412],"about_ca_topic_score_codex":0.008846995,"about_ca_topic_score_gemma":0.005540853,"teacher_disagreement_score":0.008846995,"about_ca_system_score_codex":0.0019144481,"about_ca_system_score_gemma":0.0021219966,"threshold_uncertainty_score":0.017591},"labels":[],"label_agreement":null},{"id":"W3177003813","doi":"10.1080/01605682.2021.1923376","title":"A hybrid algorithm for task sequencing problems with iteration in product development","year":2021,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Algorithm; Cluster analysis; Task (project management); Genetic algorithm; Population-based incremental learning; Markov chain; Duration (music); Algorithm design; Mathematical optimization; Mathematics; Machine learning","score_opus":0.04984315453548529,"score_gpt":0.2884622303813252,"score_spread":0.23861907584583988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177003813","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":[0.019657016,0.00011546922,0.97776604,0.00006105913,0.000020623156,0.00008122523,0.000018163597,0.00029134878,0.0019889968],"genre_scores_gemma":[0.23504256,0.00010333267,0.76185554,0.000072753486,0.00001819203,0.0003606295,0.000097988115,0.00006611185,0.0023828358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999343,0.00024738075,0.000040934246,0.00011969581,0.0001710942,0.00007789001],"domain_scores_gemma":[0.99897647,0.0006876056,0.00008121565,0.00005682612,0.00015119421,0.00004664485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014354433,0.0008156426,0.0007823626,0.0011082265,0.0005776459,0.00089017284,0.001399417,0.0012799534,0.0022227913],"category_scores_gemma":[0.0025375264,0.0004804154,0.0007171124,0.0009799065,0.00068680145,0.0009430745,0.001021205,0.0007133591,0.00034020565],"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":[0.000101709404,0.00007754124,0.00064851,0.00006850826,0.00004448693,0.000039605024,0.00010262244,0.8745328,0.0024056945,0.008670826,0.00061299675,0.11269464],"study_design_scores_gemma":[0.000024102279,0.00006901445,0.00007613479,0.0000065678782,0.00000829126,0.000021301406,0.00001033425,0.99623567,0.0005398685,0.002325499,0.00067686173,0.000006347449],"about_ca_topic_score_codex":0.004210059,"about_ca_topic_score_gemma":0.0037678024,"teacher_disagreement_score":0.004210059,"about_ca_system_score_codex":0.0008280456,"about_ca_system_score_gemma":0.0016099917,"threshold_uncertainty_score":0.008371115},"labels":[],"label_agreement":null},{"id":"W3195613663","doi":"10.1080/01605682.2021.1963196","title":"Modelling efficiency in the presence of shared inputs within groups of DMUs","year":2021,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Data envelopment analysis; Computer science; Operations research; Set (abstract data type); Unit (ring theory); Resource (disambiguation); Purchasing; Work (physics); Group (periodic table); Operations management; Mathematics; Statistics; Economics; Engineering","score_opus":0.22229319226402994,"score_gpt":0.4534313613978435,"score_spread":0.23113816913381358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195613663","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":[0.23622176,0.00031491788,0.7565061,0.00034439404,0.000017296796,0.00016881064,0.00013498143,0.000053974578,0.0062377504],"genre_scores_gemma":[0.9111178,0.000255636,0.08664547,0.000028337252,0.000016047954,0.00025963617,0.00008775446,0.000020489777,0.0015686846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9926658,0.00449403,0.00035046221,0.0008665428,0.00095744495,0.00066559913],"domain_scores_gemma":[0.9840964,0.012767261,0.0015664182,0.0006271929,0.0007172037,0.00022554582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009285065,0.0011974769,0.0016543485,0.001521218,0.0006715072,0.003164792,0.0016576508,0.0017835499,0.001204271],"category_scores_gemma":[0.019100873,0.00071044924,0.0016309189,0.0028710451,0.0017006116,0.0025411255,0.0023132304,0.001492175,0.00015259975],"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":[0.000039596118,0.0000430742,0.0014578905,0.000048135855,0.000063621184,0.000088189125,0.00012359122,0.9756325,0.00036630026,0.01798751,0.0000469757,0.0041026655],"study_design_scores_gemma":[0.000008835382,0.000034175184,0.0006126759,0.000015151369,0.00001761985,0.0000134830925,0.000074810654,0.9847793,0.00031170723,0.01384997,0.0002742548,0.000007948011],"about_ca_topic_score_codex":0.007446187,"about_ca_topic_score_gemma":0.0035031107,"teacher_disagreement_score":0.009285065,"about_ca_system_score_codex":0.0027953493,"about_ca_system_score_gemma":0.0020660157,"threshold_uncertainty_score":0.04910469},"labels":[],"label_agreement":null},{"id":"W3196581908","doi":"10.1080/01605682.2021.1967211","title":"Ranking decision making units based on the multi-directional efficiency measure","year":2021,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministerio de Ciencia, Innovación y Universidades","keywords":"Ranking (information retrieval); Measure (data warehouse); Rank (graph theory); Data envelopment analysis; Computer science; Data mining; Ranking SVM; Artificial intelligence; Mathematical optimization; Mathematics","score_opus":0.30183521202151264,"score_gpt":0.4842402435908072,"score_spread":0.18240503156929455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196581908","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":[0.05614814,0.0011920666,0.93473333,0.00019620698,0.00007223457,0.00029833004,0.00060991244,0.00018947355,0.006560251],"genre_scores_gemma":[0.46306893,0.0008254442,0.5319874,0.00006690879,0.00006647755,0.0005487454,0.0012615916,0.00009214288,0.002082371],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947463,0.002284567,0.00053374254,0.000573094,0.0016033809,0.00025890066],"domain_scores_gemma":[0.99415046,0.0034971621,0.00057862565,0.00036569065,0.0012688404,0.00013929329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006263076,0.0017084545,0.0022195089,0.0063176923,0.0006327125,0.0033504218,0.00096479384,0.0006182248,0.003223022],"category_scores_gemma":[0.010936183,0.00031634973,0.0015964645,0.0051624803,0.0005406414,0.0021339464,0.0010685337,0.0011434146,0.00054925715],"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":[0.0003321464,0.00043378386,0.016783698,0.0011266293,0.0013676332,0.00016137087,0.00030355714,0.32942313,0.006041701,0.047077518,0.004718841,0.59222996],"study_design_scores_gemma":[0.00007653883,0.00045492846,0.010455206,0.00015731777,0.00025868838,0.00011456533,0.00032970848,0.9347084,0.005753125,0.039702564,0.007880865,0.00010814138],"about_ca_topic_score_codex":0.0021712058,"about_ca_topic_score_gemma":0.0030178027,"teacher_disagreement_score":0.0063176923,"about_ca_system_score_codex":0.0013679712,"about_ca_system_score_gemma":0.0016729621,"threshold_uncertainty_score":0.03312272},"labels":[],"label_agreement":null},{"id":"W3204965069","doi":"10.1080/01605682.2023.2247008","title":"A hybrid inverse optimization-stochastic programming framework for network protection","year":2023,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Physical Science Consortium; University of Maryland","keywords":"Parameterized complexity; Mathematical optimization; Computer science; Inverse; Stochastic programming; Stochastic optimization; Inverse problem; Optimization problem; Operations research; Mathematics; Algorithm","score_opus":0.11209090754159748,"score_gpt":0.3463890458041955,"score_spread":0.23429813826259802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204965069","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":[0.0017126243,0.00006582413,0.99640995,0.00014698425,0.000012752961,0.000022019785,0.000024992027,0.00005718888,0.0015477282],"genre_scores_gemma":[0.38421655,0.00049220043,0.60859704,0.00020705597,0.000115481926,0.0005013657,0.00020383977,0.00013425504,0.0055322326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827266,0.0009122117,0.00005141548,0.00022022324,0.00042003195,0.00012339228],"domain_scores_gemma":[0.9980812,0.0013531939,0.00017922744,0.00013099448,0.00018627572,0.000069096815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028151001,0.001450175,0.0011712305,0.0008774097,0.0005178637,0.0015822749,0.0019760919,0.0014429848,0.003037783],"category_scores_gemma":[0.004262833,0.00074267917,0.0014340169,0.000867144,0.0013068832,0.0017060051,0.0019102304,0.002546535,0.00032104054],"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":[0.000008479894,0.00002257041,0.00012647909,0.000021179152,0.00001577369,0.00001974903,0.000018028626,0.9484872,0.00023980424,0.045618888,0.00023914673,0.005182694],"study_design_scores_gemma":[0.000003484714,0.00001107311,0.000029414265,0.0000037452505,0.0000030160447,0.000006121243,0.0000040403115,0.9840307,0.00006554593,0.015435958,0.00040271995,0.0000042160905],"about_ca_topic_score_codex":0.0065639163,"about_ca_topic_score_gemma":0.005908125,"teacher_disagreement_score":0.0065639163,"about_ca_system_score_codex":0.0016065234,"about_ca_system_score_gemma":0.0025588376,"threshold_uncertainty_score":0.01488781},"labels":[],"label_agreement":null},{"id":"W3210503411","doi":"10.1080/01605682.2021.1992308","title":"Time to delisted status for listed firms in Chinese stock markets: An analysis using a mixture cure model with time-varying covariates","year":2021,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Covariate; Stock (firearms); Computer science; Stock market; Macro; Econometrics; Operations research; Statistics; Actuarial science; Economics; Mathematics; Engineering","score_opus":0.034221229952164985,"score_gpt":0.32657426849522236,"score_spread":0.2923530385430574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210503411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98705137,0.00029932128,0.011208151,0.00039454628,0.000035468733,0.000050118826,0.00061532116,0.000075391115,0.00027024513],"genre_scores_gemma":[0.9943969,0.00021669055,0.0023894797,0.000044172273,0.000039291077,0.00006875889,0.001600322,0.00001313199,0.0012314047],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987143,0.00040254937,0.00007774582,0.00042182306,0.00014067373,0.00024289789],"domain_scores_gemma":[0.98575157,0.009746737,0.0020759709,0.0008874369,0.0006918382,0.0008464554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071117664,0.0010007579,0.0012078724,0.0020084516,0.00073683326,0.0015755008,0.0017579123,0.0015259564,0.0032107397],"category_scores_gemma":[0.014158449,0.0005725676,0.002205837,0.0014757188,0.00086637435,0.0014959724,0.0013877657,0.0019912906,0.00035087203],"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":[0.0013426607,0.00047542047,0.87329674,0.00012976775,0.0009257285,0.0008756062,0.0010647273,0.08424396,0.00096718746,0.005444164,0.0015910254,0.029643092],"study_design_scores_gemma":[0.00006550272,0.00035126528,0.21546823,0.000033154636,0.0006062181,0.00017926251,0.0004648643,0.7794028,0.00043462176,0.0021599496,0.00075427006,0.00007979762],"about_ca_topic_score_codex":0.041633826,"about_ca_topic_score_gemma":0.02031665,"teacher_disagreement_score":0.041633826,"about_ca_system_score_codex":0.0009848318,"about_ca_system_score_gemma":0.0014968073,"threshold_uncertainty_score":0.082782984},"labels":[],"label_agreement":null},{"id":"W4286490894","doi":"10.1080/01605682.2022.2096502","title":"Verifying and managing additive consistency and deriving weights for hesitant fuzzy preference relations","year":2022,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Consistency (knowledge bases); Ambiguity; Preference; Rank (graph theory); Computer science; Weak consistency; Fuzzy logic; Mathematical optimization; Mathematics; Strong consistency; Artificial intelligence; Statistics; Programming language","score_opus":0.3586288390354071,"score_gpt":0.47228778580358177,"score_spread":0.11365894676817467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286490894","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":[0.021874264,0.00005790485,0.9769876,0.00005202709,0.00001101602,0.00007437314,0.000018817087,0.000044668785,0.00087926735],"genre_scores_gemma":[0.42997852,0.0001358113,0.5687526,0.000040270403,0.00003438615,0.00022489448,0.0000931183,0.000039334762,0.000701099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9840513,0.0077589033,0.0014508057,0.0017183307,0.0043628025,0.0006579259],"domain_scores_gemma":[0.9788285,0.013249225,0.0020752677,0.0020250396,0.003470941,0.00035105427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016326867,0.001376623,0.0015665598,0.0039813034,0.001272993,0.0038138255,0.002068212,0.0012318088,0.0014875897],"category_scores_gemma":[0.04449694,0.0010421542,0.0018463851,0.0035029908,0.0019412033,0.0063675274,0.0034035018,0.0023012978,0.00023507797],"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":[0.00041865424,0.00027082756,0.005945413,0.00059624045,0.0005335518,0.00045428757,0.0026203974,0.32587042,0.009746002,0.3918067,0.0009302452,0.2608073],"study_design_scores_gemma":[0.00003472359,0.00012715616,0.00058259343,0.000060197814,0.00009879113,0.000115926596,0.0003346242,0.84659374,0.0060012927,0.14499752,0.0009918106,0.000061617604],"about_ca_topic_score_codex":0.0016165082,"about_ca_topic_score_gemma":0.0012788903,"teacher_disagreement_score":0.016326867,"about_ca_system_score_codex":0.0015015767,"about_ca_system_score_gemma":0.002392218,"threshold_uncertainty_score":0.08634573},"labels":[],"label_agreement":null},{"id":"W4319310318","doi":"10.1080/01605682.2023.2174052","title":"Mechanisms for feasibility and improvement for inventory-routing problems","year":2023,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Transport Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Mathematical optimization; Benchmark (surveying); Vehicle routing problem; Modular design; Routing (electronic design automation); Set (abstract data type); Exploit; Heuristic; Heuristics; Column generation; Scheme (mathematics); Class (philosophy); Operations research; Mathematics; Artificial intelligence","score_opus":0.1469068184216912,"score_gpt":0.4022142332776783,"score_spread":0.25530741485598707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319310318","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":[0.0085799545,0.00042663826,0.985494,0.00042380512,0.000056995006,0.0002028412,0.000058060243,0.00043515835,0.004322558],"genre_scores_gemma":[0.16918163,0.0004563796,0.82661957,0.00023717275,0.0001554364,0.0006662378,0.00021899694,0.00019144911,0.0022732166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9930656,0.003377353,0.00037077084,0.0010413575,0.0015396931,0.00060516346],"domain_scores_gemma":[0.98638225,0.008753492,0.0016421305,0.0018679465,0.0010865296,0.00026774878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013532321,0.0021463833,0.0018255755,0.0031066076,0.0011753477,0.002261836,0.0045215157,0.0021080272,0.008155122],"category_scores_gemma":[0.029194254,0.0014168338,0.0026582489,0.0028034626,0.0028125474,0.006085921,0.0047695236,0.0040867557,0.0013062553],"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":[0.00045971049,0.00043698863,0.0016968824,0.000693046,0.00017178633,0.00016483972,0.0003109664,0.46986538,0.0050552944,0.26404727,0.0060557113,0.2510421],"study_design_scores_gemma":[0.00013222596,0.00029476223,0.00035594671,0.00013526007,0.000076369775,0.00014851234,0.000068552086,0.8796717,0.004071887,0.106331326,0.008671931,0.000041540537],"about_ca_topic_score_codex":0.0009366923,"about_ca_topic_score_gemma":0.0008132236,"teacher_disagreement_score":0.013532321,"about_ca_system_score_codex":0.0014341958,"about_ca_system_score_gemma":0.0025158764,"threshold_uncertainty_score":0.07156664},"labels":[],"label_agreement":null},{"id":"W4321489718","doi":"10.1080/01605682.2023.2181715","title":"Explainable prediction of Qcodes for NOTAMs using column generation","year":2023,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Polytechnique Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Column (typography); Interpretability; Operations research; Algorithm; Mathematics","score_opus":0.3138019965474357,"score_gpt":0.4117655621727654,"score_spread":0.09796356562532971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321489718","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":[0.20826443,0.00053559936,0.7649346,0.0018907454,0.00033354803,0.00048231645,0.010077275,0.008501493,0.0049799187],"genre_scores_gemma":[0.6192534,0.00019107206,0.3586864,0.000329765,0.0001223736,0.00029670855,0.01659058,0.00055917585,0.0039705336],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931526,0.00011554003,0.00004348963,0.00022855164,0.0001830854,0.00011410762],"domain_scores_gemma":[0.9929369,0.004692684,0.0005639986,0.0005478377,0.0010286906,0.00022986684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066007115,0.0010786317,0.00049602153,0.0016048644,0.00066504884,0.0013305354,0.0013392282,0.0010006388,0.006756058],"category_scores_gemma":[0.008303951,0.00030767385,0.0012729452,0.0012132562,0.00047154597,0.0015630308,0.00076501636,0.0015325083,0.0010577731],"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":[0.0012445747,0.0006122288,0.090841115,0.0008531624,0.00024520687,0.0020425236,0.00075684313,0.32015574,0.018521998,0.035715315,0.047796886,0.48121443],"study_design_scores_gemma":[0.00003394036,0.000060630402,0.0037801312,0.000039659146,0.00003868853,0.00013833205,0.00012933165,0.9619605,0.007442948,0.021428527,0.0049244286,0.0000228035],"about_ca_topic_score_codex":0.010188832,"about_ca_topic_score_gemma":0.01926017,"teacher_disagreement_score":0.010188832,"about_ca_system_score_codex":0.0012757021,"about_ca_system_score_gemma":0.0015902391,"threshold_uncertainty_score":0.022601306},"labels":[],"label_agreement":null},{"id":"W4378192551","doi":"10.1080/01605682.2023.2215823","title":"Ranking products through online reviews: A novel data-driven method based on interval type-2 fuzzy sets and sentiment analysis","year":2023,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Ranking (information retrieval); Latent Dirichlet allocation; Computer science; Sentiment analysis; Data mining; Product (mathematics); Fuzzy logic; Machine learning; Artificial intelligence; Multiple-criteria decision analysis; Information retrieval; Operations research; Topic model; Mathematics","score_opus":0.29712324754170233,"score_gpt":0.48528260820225544,"score_spread":0.1881593606605531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378192551","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":[0.027921675,0.00033671217,0.9676729,0.0002736205,0.000108463326,0.00029101322,0.00051214715,0.0005913479,0.0022921397],"genre_scores_gemma":[0.35020113,0.0003397294,0.6445362,0.00014456632,0.0002392902,0.0004381775,0.0010586218,0.00007462096,0.0029677218],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99808156,0.000392738,0.00017894348,0.00043327067,0.0008174313,0.00009614359],"domain_scores_gemma":[0.9974293,0.00091220194,0.00031926043,0.000101324265,0.0011512517,0.000086706255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015300274,0.0010253472,0.0010957755,0.0033732413,0.00043859796,0.0012988559,0.0011242437,0.0007348214,0.0014659096],"category_scores_gemma":[0.005134608,0.0004249393,0.0014228522,0.0018175831,0.00028654138,0.0011597257,0.0005901898,0.0008563473,0.0007109515],"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":[0.0004292087,0.00034079008,0.011929431,0.00055866037,0.00034285,0.00035757743,0.00067451474,0.07299785,0.022792703,0.007838247,0.007409328,0.87432885],"study_design_scores_gemma":[0.000022619031,0.000088895555,0.0026742555,0.000025466406,0.00005465557,0.000097912955,0.00010561513,0.9861902,0.004286773,0.0038125585,0.0026051437,0.000035875837],"about_ca_topic_score_codex":0.0049708863,"about_ca_topic_score_gemma":0.0060805557,"teacher_disagreement_score":0.0049708863,"about_ca_system_score_codex":0.00077172153,"about_ca_system_score_gemma":0.00097589195,"threshold_uncertainty_score":0.009883881},"labels":[],"label_agreement":null},{"id":"W4381995674","doi":"10.1080/01605682.2023.2224823","title":"Enhancing an existing algorithm for small-cardinality constrained portfolio optimisation","year":2023,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Western University","funders":"","keywords":"Cardinality (data modeling); JavaScript; Computer science; Heuristics; Zoom; Executable; Portfolio; Algorithm; Mathematical optimization; Programming language; Mathematics; Data mining; Operating system","score_opus":0.37129724908971173,"score_gpt":0.5060031720084774,"score_spread":0.1347059229187657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381995674","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":[0.006510615,0.00024033654,0.98805565,0.00024195254,0.000088061184,0.00008059054,0.00009861426,0.0013533998,0.003330905],"genre_scores_gemma":[0.08544527,0.00021489628,0.9094737,0.00025336357,0.00011682528,0.00019711042,0.00043809146,0.0003961527,0.0034645246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998711,0.00026299502,0.00011460687,0.00030644308,0.00044547423,0.00015941342],"domain_scores_gemma":[0.996923,0.0018253073,0.00017499577,0.00045310264,0.000522083,0.000101443635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018436067,0.001335301,0.0012154215,0.0014257589,0.00065188797,0.0018266392,0.0019751114,0.0025531324,0.008709322],"category_scores_gemma":[0.009326753,0.000564208,0.0013385116,0.0018052944,0.00079494965,0.0027368302,0.0020965652,0.0021116743,0.0023214226],"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":[0.0002758481,0.00024399805,0.001302385,0.00025828005,0.00009303502,0.0001377759,0.00011973603,0.55712926,0.0037486572,0.030403705,0.0094997,0.39678764],"study_design_scores_gemma":[0.00006228403,0.00003037352,0.00012294215,0.000015771631,0.00001163707,0.000052575913,0.000009809232,0.98432934,0.0010418897,0.010783979,0.003529647,0.000009709218],"about_ca_topic_score_codex":0.003991444,"about_ca_topic_score_gemma":0.0049584983,"teacher_disagreement_score":0.008709322,"about_ca_system_score_codex":0.0010207881,"about_ca_system_score_gemma":0.0023481012,"threshold_uncertainty_score":0.029135525},"labels":[],"label_agreement":null},{"id":"W4386587724","doi":"10.1080/01605682.2023.2244352","title":"<i>Journal of the Operational Research Society</i> (JORS): The last 40 years","year":2023,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Library science; Portfolio; Operations research; Sociology; Media studies; History; Computer science; Engineering; Economics","score_opus":0.43221455845643914,"score_gpt":0.5366990496990144,"score_spread":0.10448449124257525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386587724","genre_codex":"editorial","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023851988,0.11356621,0.005088031,0.19134748,0.6246895,0.00011425558,0.000765668,0.0007197811,0.061323933],"genre_scores_gemma":[0.03968823,0.15126382,0.01242346,0.056754556,0.5484987,0.0002769187,0.0022304594,0.0019785422,0.18688531],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9857082,0.0021140354,0.0020147488,0.0015592909,0.0077163414,0.000887375],"domain_scores_gemma":[0.9467864,0.0060351463,0.0069740308,0.0034694562,0.024720324,0.012014638],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.016670143,0.0014979366,0.001550263,0.004505336,0.0028888488,0.026158674,0.0021348544,0.0042623654,0.0297075],"category_scores_gemma":[0.035670307,0.0007254294,0.00087382295,0.007442611,0.0048413,0.011832401,0.0041172276,0.00575928,0.02295852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055742286,0.000028560795,0.00052743714,0.00056860707,0.000019433837,0.00006952373,0.00020490636,0.00012701236,0.00058068265,0.007369759,0.92536473,0.06508366],"study_design_scores_gemma":[0.000005093046,0.000038372997,0.00080296147,0.00032170094,0.000008071342,0.00017607193,0.0002480759,0.00009079281,0.00015789822,0.0018594828,0.9962735,0.000017952641],"about_ca_topic_score_codex":0.00197631,"about_ca_topic_score_gemma":0.0022752383,"teacher_disagreement_score":0.99549466,"about_ca_system_score_codex":0.0044082482,"about_ca_system_score_gemma":0.012437793,"threshold_uncertainty_score":0.09938145},"labels":[],"label_agreement":null},{"id":"W4390266851","doi":"10.1080/01605682.2023.2253852","title":"Operational Research: methods and applications","year":2023,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; Université du Québec à Montréal; University of Waterloo; HEC Montréal","funders":"Iowa Nutrient Research Center, College of Agriculture and Life Sciences, Iowa State University; Loughborough University; European Regional Development Fund; Università degli Studi di Udine; Canadian Institute for Advanced Research; University of Waterloo; Ministero dell’Istruzione, dell’Università e della Ricerca; University of Bath; Office of Naval Research; Harvard University; Canada Excellence Research Chairs, Government of Canada; Princeton University","keywords":"Computer science; Project management; Operations research; Management science; Information technology; Systems engineering; Data science; Engineering","score_opus":0.29442262056871504,"score_gpt":0.49970731345530944,"score_spread":0.2052846928865944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390266851","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":[0.0021504643,0.08712206,0.7554819,0.020902554,0.0033926948,0.0013211324,0.00197765,0.0010719098,0.12657966],"genre_scores_gemma":[0.13747883,0.15596087,0.6585531,0.005651269,0.011559333,0.005374499,0.0024482952,0.0008151883,0.022158679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.95874745,0.028357035,0.0032105008,0.0021284628,0.0068682004,0.00068832847],"domain_scores_gemma":[0.9435884,0.042807177,0.0028640071,0.004844782,0.005179434,0.00071631424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022776984,0.0021886649,0.00211183,0.0072174137,0.0015175403,0.012147965,0.0027308953,0.0041948776,0.016099876],"category_scores_gemma":[0.053979613,0.0009478412,0.0013499536,0.010826585,0.0075476053,0.0067321854,0.00535769,0.005279631,0.008881197],"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":[0.000052451076,0.0001243685,0.0014890711,0.0034288408,0.00015218908,0.00023792835,0.0012470533,0.009236735,0.0003156664,0.67618704,0.053728156,0.25380048],"study_design_scores_gemma":[0.000033601147,0.00008866064,0.00091334694,0.0039659096,0.00004238955,0.0004039942,0.0013503445,0.010786394,0.00029532277,0.64894295,0.3331041,0.00007308078],"about_ca_topic_score_codex":0.0028990046,"about_ca_topic_score_gemma":0.0015342743,"teacher_disagreement_score":0.022776984,"about_ca_system_score_codex":0.0042322464,"about_ca_system_score_gemma":0.009018792,"threshold_uncertainty_score":0.12045759},"labels":[],"label_agreement":null},{"id":"W4391277884","doi":"10.1080/01605682.2024.2305646","title":"A class of distorted Gaussian copulas: theories and applications","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Class (philosophy); Gaussian; Computer science; Econometrics; Statistical physics; Mathematics; Mathematical economics; Mathematical optimization; Applied mathematics; Artificial intelligence; Physics","score_opus":0.06726802500815804,"score_gpt":0.337276108048369,"score_spread":0.27000808304021096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391277884","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":[0.01910039,0.002811878,0.9667428,0.0010285751,0.00014995539,0.000057123823,0.00030401448,0.00020497428,0.009600262],"genre_scores_gemma":[0.8028267,0.011164771,0.17232044,0.0008820803,0.0012192987,0.0002452141,0.00089202187,0.00026668303,0.010182819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986523,0.00041594874,0.00007260839,0.00028505654,0.00041127688,0.00016283552],"domain_scores_gemma":[0.9947491,0.002530913,0.00080227666,0.00063239044,0.0010267609,0.00025846547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026792383,0.0013163515,0.0012842213,0.0025202588,0.00089147576,0.0030693964,0.0015983125,0.0014146988,0.0038202368],"category_scores_gemma":[0.012310864,0.0005937656,0.0015224933,0.002786266,0.0020203125,0.003862795,0.0017475653,0.00295189,0.0007010688],"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":[0.000020048636,0.000026048145,0.0018717849,0.00009375432,0.00007372165,0.00022556825,0.00015827056,0.060101643,0.0006357595,0.9021686,0.003777264,0.030847613],"study_design_scores_gemma":[0.000009405593,0.000021644533,0.0010332674,0.000048656286,0.000025409516,0.00036273105,0.000087967965,0.40894747,0.00031154192,0.5801932,0.008924366,0.000034372748],"about_ca_topic_score_codex":0.0039706724,"about_ca_topic_score_gemma":0.0019744441,"teacher_disagreement_score":0.0039706724,"about_ca_system_score_codex":0.0016206029,"about_ca_system_score_gemma":0.0013483987,"threshold_uncertainty_score":0.014169335},"labels":[],"label_agreement":null},{"id":"W4391655310","doi":"10.1080/01605682.2024.2312255","title":"The boundary-to-boundary <i>p</i> -dispersion configuration problem with oval objects","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Boundary (topology); Regular polygon; Intersection (aeronautics); Mathematical optimization; Mathematics; Dispersion (optics); Computer science; Geometry; Mathematical analysis; Physics; Geography; Optics; Cartography","score_opus":0.03685802339477276,"score_gpt":0.31182225419214044,"score_spread":0.27496423079736765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391655310","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":[0.20772892,0.0005829189,0.77516186,0.0007189803,0.000052160653,0.00023414534,0.0004108857,0.00015952301,0.014950561],"genre_scores_gemma":[0.8300237,0.00043581586,0.16259813,0.000092066875,0.000033984306,0.00027697257,0.00028571067,0.0001143986,0.0061393054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991283,0.00033922069,0.000036582103,0.00018334536,0.00010543691,0.00020715766],"domain_scores_gemma":[0.9981432,0.0010966237,0.00026668955,0.0001277933,0.00010848305,0.00025723266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014328067,0.0013491412,0.0014571777,0.0009433837,0.00083465513,0.0020130323,0.0016877152,0.002080623,0.0059620664],"category_scores_gemma":[0.004694772,0.00083925354,0.00073935837,0.0015837739,0.0018104764,0.0030727657,0.002130267,0.0011084266,0.0005562418],"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":[0.00025925107,0.00010490675,0.00089264754,0.00014373238,0.000035816025,0.00037498394,0.00012235437,0.9382579,0.0024571759,0.040528685,0.0011171665,0.01570543],"study_design_scores_gemma":[0.00009035462,0.00036313522,0.0007616197,0.000058594196,0.000029949686,0.0003374205,0.00023409488,0.9368178,0.0028923736,0.05541561,0.0029570954,0.00004177881],"about_ca_topic_score_codex":0.0026200525,"about_ca_topic_score_gemma":0.001343708,"teacher_disagreement_score":0.0059620664,"about_ca_system_score_codex":0.0012605109,"about_ca_system_score_gemma":0.0008830854,"threshold_uncertainty_score":0.019945145},"labels":[],"label_agreement":null},{"id":"W4396988484","doi":"10.1080/01605682.2024.2352461","title":"Optimization of elective patient admissions during pandemics: case of COVID-19","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medical emergency; Medicine; Operations research; Computer science; Virology; Engineering; Outbreak; Infectious disease (medical specialty); Internal medicine","score_opus":0.17421182319208112,"score_gpt":0.5409967245773012,"score_spread":0.3667849013852201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396988484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80387026,0.00087544054,0.17734998,0.001993512,0.00017823077,0.00023957463,0.000516539,0.0001833036,0.014793174],"genre_scores_gemma":[0.9852834,0.00011201194,0.013203779,0.0000616431,0.000015026431,0.000036050315,0.00009367217,0.00001669052,0.001177736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995394,0.00019034478,0.000012407529,0.000052388266,0.000050516257,0.00015501701],"domain_scores_gemma":[0.9988274,0.00069883023,0.0001457421,0.000031711028,0.000116215015,0.0001800698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000887961,0.0009729795,0.0007187637,0.0003877712,0.0005559177,0.0008772434,0.00052758853,0.0009092349,0.0019794079],"category_scores_gemma":[0.0020903104,0.00043315534,0.00064002717,0.0003078267,0.0005607805,0.00047916683,0.0008861076,0.0009267825,0.00011171039],"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":[0.000090651236,0.00005137454,0.0009139677,0.000026021895,0.000013720986,0.00011135181,0.000018672325,0.9947797,0.0004357166,0.0009911351,0.0003373485,0.0022302966],"study_design_scores_gemma":[0.00001236519,0.000073297,0.00042635886,0.0000037635527,0.000007182493,0.00001789398,0.000057961413,0.99833965,0.00021081882,0.00067263097,0.00017365614,0.00000444213],"about_ca_topic_score_codex":0.012934594,"about_ca_topic_score_gemma":0.009152193,"teacher_disagreement_score":0.012934594,"about_ca_system_score_codex":0.0011184494,"about_ca_system_score_gemma":0.0017236072,"threshold_uncertainty_score":0.02571863},"labels":[],"label_agreement":null},{"id":"W4402920173","doi":"10.1080/01605682.2024.2407467","title":"Single-vendor single-buyer multi-product economic production quantity problem with stochastic constraints: a modified generalized elimination method","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Vendor; Production (economics); Product (mathematics); Mathematical optimization; Computer science; Scheduling (production processes); Operations research; Mathematics; Economics; Business; Microeconomics; Marketing","score_opus":0.1337245709529202,"score_gpt":0.3549153087621609,"score_spread":0.22119073780924067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402920173","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":[0.021153023,0.00021521305,0.9759393,0.00015013608,0.000027077132,0.000083137726,0.00006600531,0.000068706046,0.002297575],"genre_scores_gemma":[0.52405286,0.00059549295,0.46962956,0.00012399319,0.00006410115,0.0004398926,0.00031453662,0.0001054212,0.004674162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927264,0.00041735504,0.000023177778,0.00007054092,0.00014066556,0.0000755946],"domain_scores_gemma":[0.99925274,0.0005259949,0.000068007546,0.000031310792,0.00009210665,0.000029810597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013688162,0.00085502234,0.0013977396,0.00071684417,0.00040859918,0.0008081352,0.0015681671,0.00091047626,0.0021915063],"category_scores_gemma":[0.0014351481,0.00061693334,0.0014028737,0.00096420076,0.00048498798,0.0008825681,0.000812691,0.00089110254,0.00019970133],"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":[0.000028093093,0.000023369912,0.00017311343,0.00005832132,0.000017781233,0.000074026095,0.000016278009,0.9838577,0.0005839292,0.0050024455,0.00032008003,0.009844816],"study_design_scores_gemma":[0.000012275855,0.000024965317,0.00005469264,0.0000038716644,0.0000054725538,0.000017169392,0.0000050262383,0.997719,0.00014646968,0.0016158983,0.00039142856,0.0000036818715],"about_ca_topic_score_codex":0.004925375,"about_ca_topic_score_gemma":0.0039231535,"teacher_disagreement_score":0.004925375,"about_ca_system_score_codex":0.00061371515,"about_ca_system_score_gemma":0.001830953,"threshold_uncertainty_score":0.009793401},"labels":[],"label_agreement":null},{"id":"W4402949598","doi":"10.1080/01605682.2024.2408390","title":"Solving dynamic facility layout problem using a hybridized heuristic dynamic programming approach","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dynamic programming; Computer science; Heuristic; Project management; Heuristics; Operations research; Scheduling (production processes); Mathematical optimization; Systems engineering; Engineering; Algorithm; Mathematics; Artificial intelligence; Operating system","score_opus":0.03974492844909323,"score_gpt":0.3383505245559064,"score_spread":0.2986055961068132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402949598","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":[0.039807558,0.0002956316,0.9497985,0.00021315059,0.000048510767,0.00010911738,0.00011263451,0.00032749266,0.0092873825],"genre_scores_gemma":[0.56537056,0.00025884743,0.42859468,0.00020491374,0.00004311547,0.00053437485,0.00030171085,0.00008184735,0.0046099355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957544,0.00013462202,0.000016294352,0.000091281996,0.00008971618,0.00009256407],"domain_scores_gemma":[0.9993979,0.00038724975,0.000060978447,0.000031085634,0.00009113775,0.000031593594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064164755,0.0008623485,0.0009324196,0.0010714286,0.00043047257,0.0009645921,0.0011896426,0.0016253656,0.0029440108],"category_scores_gemma":[0.0015376682,0.0006283365,0.0010833256,0.0011930952,0.0005218506,0.00054843165,0.0007698925,0.0007946376,0.00025702114],"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":[0.000014373861,0.000019130772,0.00019200309,0.000019057277,0.000017605882,0.00003663653,0.000012013075,0.98810995,0.00048741707,0.0017726962,0.00019327937,0.009125875],"study_design_scores_gemma":[0.0000059155545,0.000019296338,0.000048892864,0.0000034136938,0.0000060583448,0.000011769356,0.00000833574,0.99844056,0.00016697927,0.0010408593,0.00024453757,0.0000033812605],"about_ca_topic_score_codex":0.008650195,"about_ca_topic_score_gemma":0.0065883794,"teacher_disagreement_score":0.008650195,"about_ca_system_score_codex":0.0010205767,"about_ca_system_score_gemma":0.0014665275,"threshold_uncertainty_score":0.017199695},"labels":[],"label_agreement":null},{"id":"W4403306216","doi":"10.1080/01605682.2024.2412214","title":"An exact branch-and-price-and-cut algorithm for a practical and large-scale dial-a-ride problem","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Giro (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Dial; Scale (ratio); Purchasing; Project management; Algorithm; Operations research; Mathematical optimization; Economics; Mathematics; Operations management; Engineering; Management; Electrical engineering","score_opus":0.04458444319968899,"score_gpt":0.40219240256818095,"score_spread":0.357607959368492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403306216","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":[0.046026483,0.0006560731,0.93953824,0.0010021098,0.00011229152,0.00044842562,0.0006881183,0.0016218644,0.009906418],"genre_scores_gemma":[0.158428,0.00027186944,0.8350903,0.00025734535,0.00007615774,0.0005013839,0.0013677803,0.00029860483,0.003708536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992861,0.00022973002,0.000028656626,0.00018174977,0.00013047,0.00014322916],"domain_scores_gemma":[0.9985428,0.0010557364,0.00009998842,0.000097753466,0.00011445421,0.00008920676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013681706,0.001430694,0.0013957003,0.0008284051,0.00091238815,0.0014507559,0.0016618496,0.0017224696,0.0070320005],"category_scores_gemma":[0.0029140357,0.00081467594,0.00086194725,0.0015106903,0.0006841218,0.0014973263,0.0011478923,0.0018930293,0.001065461],"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":[0.00021116924,0.00025454824,0.0006315409,0.00016544004,0.00004491441,0.0001846374,0.00007918106,0.8463079,0.0012066425,0.011894736,0.010110583,0.12890872],"study_design_scores_gemma":[0.00006994163,0.00005166757,0.00010694004,0.000009038513,0.000008821291,0.000038962215,0.000027914166,0.99018526,0.00026610104,0.008010145,0.0012194704,0.0000056765507],"about_ca_topic_score_codex":0.008112897,"about_ca_topic_score_gemma":0.0088114,"teacher_disagreement_score":0.008112897,"about_ca_system_score_codex":0.0012297385,"about_ca_system_score_gemma":0.0029713828,"threshold_uncertainty_score":0.023524404},"labels":[],"label_agreement":null},{"id":"W4404334244","doi":"10.1080/01605682.2024.2425684","title":"Less is more: adjusting convergence of Cooper’s algorithm in the continuous location-allocation problem","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Royal Ottawa Mental Health Centre","funders":"","keywords":"Mathematical optimization; Maxima and minima; Convergence (economics); Computer science; Path (computing); Descent (aeronautics); Algorithm; Heuristic; Descent direction; Gradient descent; Mathematics; Artificial intelligence; Engineering","score_opus":0.07639517502767265,"score_gpt":0.3454537284403607,"score_spread":0.26905855341268803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404334244","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":[0.13018493,0.0005754265,0.854553,0.00072382373,0.00017550195,0.00013335743,0.00006800554,0.0008729013,0.01271304],"genre_scores_gemma":[0.67817426,0.00018160204,0.31712192,0.0004455292,0.00007443471,0.00023433172,0.00013267017,0.00028370245,0.003351617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780196,0.0011947984,0.00008732646,0.00033865828,0.00033801168,0.00023926365],"domain_scores_gemma":[0.99334717,0.004440119,0.00050650816,0.0007697088,0.00065061875,0.00028603277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055659222,0.00094957656,0.0014819722,0.0009931561,0.00088673976,0.0012309849,0.0024397771,0.0018725581,0.0026480414],"category_scores_gemma":[0.01556206,0.0006102479,0.000887328,0.0010005774,0.0015706328,0.0019252956,0.0018187801,0.0014489347,0.00048097095],"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":[0.0005873323,0.00023644598,0.0028496373,0.00011317062,0.00010273276,0.000105765146,0.0003055409,0.85082823,0.0024637731,0.02548354,0.004173852,0.11275001],"study_design_scores_gemma":[0.00009503089,0.00017786528,0.00035980248,0.000019499845,0.000024007964,0.00004895593,0.00006321054,0.9880106,0.0009881607,0.008322123,0.0018743422,0.000016374413],"about_ca_topic_score_codex":0.004001686,"about_ca_topic_score_gemma":0.004207143,"teacher_disagreement_score":0.0055659222,"about_ca_system_score_codex":0.0013859536,"about_ca_system_score_gemma":0.0017789394,"threshold_uncertainty_score":0.029435813},"labels":[],"label_agreement":null},{"id":"W4404705585","doi":"10.1080/01605682.2024.2430337","title":"Is multichannel retail marketing integration a panacea?","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"Agencia Estatal de Investigación; Junta de Castilla y León","keywords":"Panacea (medicine); Marketing; Business; Purchasing","score_opus":0.1359451498914607,"score_gpt":0.37742899186742357,"score_spread":0.24148384197596287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404705585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7407861,0.003969188,0.122430876,0.019346815,0.00023322995,0.00019959643,0.00007645401,0.00031368586,0.11264412],"genre_scores_gemma":[0.9916716,0.00040294937,0.0058566146,0.0006975527,0.00013654937,0.000030361949,0.000013168437,0.000018068964,0.0011730997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99579984,0.0013106284,0.00017151189,0.0011535361,0.00081198296,0.000752454],"domain_scores_gemma":[0.9891991,0.0029611185,0.0035953324,0.0020451602,0.0010253892,0.0011739105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057803257,0.00049178564,0.001075298,0.00075933035,0.0011854108,0.0060675093,0.0015072713,0.0020384146,0.006988491],"category_scores_gemma":[0.008999749,0.0005532119,0.0008319974,0.0013350263,0.004382871,0.012595204,0.0044191293,0.002529798,0.0006545341],"study_design_candidate":"observational","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":[0.0009657046,0.0013314757,0.0933003,0.0005184695,0.00070543325,0.00061557855,0.004579895,0.01805398,0.0059942044,0.57590264,0.0034158118,0.29461643],"study_design_scores_gemma":[0.00020063152,0.0010479674,0.1392022,0.00072266377,0.00051979074,0.0017041112,0.00813048,0.06843597,0.005252377,0.7413372,0.033262737,0.00018395907],"about_ca_topic_score_codex":0.0014122414,"about_ca_topic_score_gemma":0.0019955633,"teacher_disagreement_score":0.006988491,"about_ca_system_score_codex":0.0019473882,"about_ca_system_score_gemma":0.002785851,"threshold_uncertainty_score":0.030569613},"labels":[],"label_agreement":null},{"id":"W4404864841","doi":"10.1080/01605682.2024.2432605","title":"Adaptive large neighbourhood search for the multi-depot arc routing problem with flexible assignment of end depot and different arc types","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; Université du Québec à Trois-Rivières","funders":"Mitacs","keywords":"Depot; Arc (geometry); Arc routing; Neighbourhood (mathematics); Computer science; Operations research; Routing (electronic design automation); Mathematical optimization; Computer network; Engineering; Mathematics; Geography; Mechanical engineering","score_opus":0.07232362554463277,"score_gpt":0.3580735006696667,"score_spread":0.2857498751250339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404864841","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":[0.023563588,0.00045717318,0.9714732,0.00015804681,0.00004825486,0.00007636386,0.00007629805,0.00012411212,0.004022953],"genre_scores_gemma":[0.4627613,0.0004674884,0.52898973,0.00010183597,0.00006706745,0.0003535309,0.00028084932,0.00010484278,0.0068732766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999666,0.00014948782,0.000014074031,0.00006468648,0.00006198796,0.000043883872],"domain_scores_gemma":[0.9995016,0.0003524913,0.000051352126,0.000024086881,0.000039387574,0.000031057774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007542709,0.0007834365,0.0009116946,0.0007714914,0.00037402447,0.00062994135,0.00092465733,0.0010699333,0.0020675864],"category_scores_gemma":[0.0016486775,0.0004305971,0.00082681957,0.000878928,0.00047459337,0.0008041583,0.00086828007,0.000875509,0.0002616205],"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":[0.000034474346,0.000028879042,0.00023204177,0.00005160658,0.000022888142,0.000045978264,0.000026819012,0.97602785,0.000688519,0.0068499055,0.00047695657,0.015514055],"study_design_scores_gemma":[0.000008262201,0.000026621286,0.00005846273,0.0000059713075,0.000005099071,0.0000130065255,0.000010533628,0.9954716,0.0001545302,0.0036338472,0.0006088166,0.0000031211166],"about_ca_topic_score_codex":0.0038735708,"about_ca_topic_score_gemma":0.0055695074,"teacher_disagreement_score":0.0038735708,"about_ca_system_score_codex":0.00073716545,"about_ca_system_score_gemma":0.00086816086,"threshold_uncertainty_score":0.007701993},"labels":[],"label_agreement":null},{"id":"W4405397627","doi":"10.1080/01605682.2024.2436622","title":"Operational research on dengue: critical review and research agenda","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Dengue fever; Operations research; Computer science; Project management; Management science; Process management; Business; Systems engineering; Engineering; Medicine; Virology","score_opus":0.25525693839575603,"score_gpt":0.5580070271559404,"score_spread":0.3027500887601844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405397627","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011423166,0.99214983,0.00035656942,0.00564389,0.0012384438,0.000011967226,0.000023004404,0.0000046115333,0.00045748716],"genre_scores_gemma":[0.0015585315,0.99520314,0.0004712533,0.0011458523,0.0014954505,0.000019054669,0.000027779744,0.0000037108991,0.00007514257],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99430263,0.0023581015,0.0012330654,0.00045212638,0.0013298229,0.00032433902],"domain_scores_gemma":[0.91217387,0.06675476,0.00379589,0.0012340321,0.014966283,0.0010752354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017999774,0.0013931189,0.002696197,0.009068916,0.0009169115,0.0041700304,0.0020494636,0.0033745926,0.0043714917],"category_scores_gemma":[0.04113863,0.000749188,0.0019226439,0.009520196,0.0031642502,0.0057569216,0.0016068798,0.0047440156,0.001089029],"study_design_candidate":"not_applicable","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":[0.00027572573,0.00015718119,0.0012189181,0.09812338,0.0005258169,0.00034928918,0.0008108896,0.0018900671,0.00056005653,0.04257635,0.10560989,0.7479024],"study_design_scores_gemma":[0.000035595145,0.0002932995,0.002470865,0.1281986,0.00074859266,0.00073212065,0.0015709518,0.00066209683,0.000387846,0.03124943,0.8335386,0.000112097274],"about_ca_topic_score_codex":0.0049411845,"about_ca_topic_score_gemma":0.0048362236,"teacher_disagreement_score":0.017999774,"about_ca_system_score_codex":0.0042070854,"about_ca_system_score_gemma":0.01371343,"threshold_uncertainty_score":0.09519303},"labels":[],"label_agreement":null},{"id":"W4406053857","doi":"10.1080/01605682.2024.2446655","title":"Decarbonizing road freight transportation: recent advances and future trends","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Transport engineering; Traffic management; Business; Operations research; Engineering","score_opus":0.03585522645718325,"score_gpt":0.3057192762247652,"score_spread":0.26986404976758194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406053857","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066125914,0.9411695,0.006654341,0.024669645,0.0010081257,0.000020927951,0.00016450061,0.0001324563,0.019567894],"genre_scores_gemma":[0.052882534,0.9385372,0.004197842,0.0021147425,0.00077739474,0.000019055973,0.00014578993,0.000031910193,0.0012935128],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990164,0.00023681522,0.00008263611,0.00020373573,0.00029276876,0.0001677042],"domain_scores_gemma":[0.9950983,0.0028483134,0.00061056233,0.00017436422,0.0010234223,0.00024504788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003556973,0.0007850406,0.0008672531,0.0020260862,0.00056090375,0.0040839543,0.0010831449,0.0017046089,0.004175414],"category_scores_gemma":[0.0042118947,0.0002830221,0.00066881644,0.0074568414,0.0014134471,0.0067374418,0.0017734111,0.0023642136,0.00059955305],"study_design_candidate":"not_applicable","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":[0.000110436755,0.0001306974,0.0035626497,0.009876596,0.0000819423,0.00014082275,0.00062393554,0.014250017,0.00083247677,0.20452017,0.02239933,0.74347097],"study_design_scores_gemma":[0.000012254547,0.00033136207,0.005064389,0.008233633,0.00013200838,0.00041120744,0.0038716665,0.009868804,0.0016475944,0.11908995,0.85122836,0.00010879486],"about_ca_topic_score_codex":0.004409571,"about_ca_topic_score_gemma":0.005914491,"teacher_disagreement_score":0.004409571,"about_ca_system_score_codex":0.0033856588,"about_ca_system_score_gemma":0.0047302907,"threshold_uncertainty_score":0.024564803},"labels":[],"label_agreement":null},{"id":"W4406188940","doi":"10.1080/01605682.2024.2449470","title":"Balancing contributions and rewards: a DEA approach for fair carbon emission abatement allocation","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"Fundamental Research Funds for Central Universities of the Central South University; National Natural Science Foundation of China","keywords":"Project management; Purchasing; Carbon fibers; Scheduling (production processes); Operations research; Economics; Environmental economics; Emissions trading; Production (economics); Microeconomics; Computer science; Operations management; Greenhouse gas; Engineering; Management; Ecology","score_opus":0.10387283672899567,"score_gpt":0.4780515633196524,"score_spread":0.3741787265906567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406188940","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":[0.0030400432,0.00010511013,0.99393845,0.00012781347,0.00001807474,0.00006753602,0.000031483636,0.000028056498,0.0026432911],"genre_scores_gemma":[0.39219818,0.00051350344,0.60359746,0.00012637141,0.00006675927,0.00066121813,0.00010841536,0.00006704792,0.0026610715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99498206,0.0026314158,0.00022456824,0.00059503556,0.0012777636,0.00028920727],"domain_scores_gemma":[0.99748033,0.0014535926,0.0002789643,0.000229832,0.00047914445,0.000078060046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008200179,0.0014668417,0.0018037887,0.001968966,0.00101384,0.0033410122,0.0017227172,0.001149698,0.0024723196],"category_scores_gemma":[0.009088785,0.00071370084,0.0014484099,0.0025037334,0.0011835261,0.0022846404,0.0021903024,0.0023961572,0.00032196898],"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":[0.000033463093,0.00005589293,0.00048128687,0.0000998811,0.00009353326,0.00003834313,0.000114785515,0.83811194,0.0011927817,0.12127499,0.00044893014,0.038054124],"study_design_scores_gemma":[0.000009466545,0.000028940867,0.00017030463,0.00002748588,0.000021272443,0.0000161731,0.00003409534,0.9467382,0.0006810386,0.049972434,0.0022865813,0.000014098492],"about_ca_topic_score_codex":0.004432162,"about_ca_topic_score_gemma":0.004179931,"teacher_disagreement_score":0.008200179,"about_ca_system_score_codex":0.0033417093,"about_ca_system_score_gemma":0.0039282567,"threshold_uncertainty_score":0.043367207},"labels":[],"label_agreement":null},{"id":"W4407081276","doi":"10.1080/01605682.2025.2457647","title":"Workforce population modelling: Population by convolution","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Population; Workforce; Computer science; Convolution (computer science); Operations research; Mathematics; Economics; Artificial intelligence; Sociology; Demography; Economic growth","score_opus":0.2683297565795895,"score_gpt":0.48982604632995025,"score_spread":0.22149628975036073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407081276","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":[0.013131467,0.00017234398,0.9828467,0.00040796056,0.000057318866,0.000019718098,0.00016420009,0.0002028643,0.0029974869],"genre_scores_gemma":[0.7952994,0.00088445673,0.18104778,0.00053721655,0.0002900615,0.00023416622,0.0004262347,0.00022453818,0.02105617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993413,0.00023613079,0.000029997478,0.00018763109,0.00011365868,0.000091269845],"domain_scores_gemma":[0.99800485,0.0013538204,0.00019926629,0.00015218378,0.00021075275,0.00007914474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020261412,0.00059082755,0.0009607643,0.00062258553,0.00051962695,0.0011806041,0.0018573188,0.0016478153,0.0035248436],"category_scores_gemma":[0.0082180295,0.00050062424,0.0012153903,0.00092116016,0.00092001155,0.0021883817,0.0013552532,0.0015761865,0.0005806612],"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":[0.00002078208,0.000017397626,0.0017770331,0.000028799504,0.000028489507,0.00005725522,0.000098674114,0.92829,0.0002986705,0.056141566,0.000964075,0.01227723],"study_design_scores_gemma":[0.0000015746087,0.000003857617,0.00012323691,0.000004362952,0.0000035589755,0.000018926514,0.0000070143005,0.9809575,0.00007857918,0.018198736,0.0005984386,0.000004247059],"about_ca_topic_score_codex":0.020714443,"about_ca_topic_score_gemma":0.009776898,"teacher_disagreement_score":0.020714443,"about_ca_system_score_codex":0.0014923399,"about_ca_system_score_gemma":0.0012143892,"threshold_uncertainty_score":0.041187704},"labels":[],"label_agreement":null},{"id":"W4407813880","doi":"10.1080/01605682.2025.2466681","title":"Optimal subsidy decisions for building electric vehicle charging piles: unit subsidy vs percentage subsidy","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Science Foundation of Guangdong Province","keywords":"Subsidy; Electric vehicle; Unit (ring theory); Purchasing; Business; Operations management; Economics; Marketing; Mathematics; Physics; Market economy","score_opus":0.03090613903150347,"score_gpt":0.3383213767624891,"score_spread":0.3074152377309856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407813880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55309343,0.0024672793,0.3673906,0.0070616887,0.00038561042,0.0013627034,0.0007347123,0.00050303637,0.06700087],"genre_scores_gemma":[0.9852327,0.0003001231,0.011141121,0.00020302774,0.000027258131,0.00010929696,0.000052305193,0.000021087246,0.002913049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875236,0.0005031272,0.000051911622,0.00022199954,0.00012637865,0.00034422806],"domain_scores_gemma":[0.9972498,0.001770602,0.00029828132,0.00010180053,0.00027099237,0.00030845587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022748227,0.00077877176,0.0015811318,0.0009083322,0.0006933203,0.0023527707,0.0011232963,0.0026299036,0.007637026],"category_scores_gemma":[0.008416829,0.00079724024,0.0007740676,0.00056429516,0.0012948595,0.0025897461,0.0011895513,0.002059061,0.00049902726],"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":[0.0017674045,0.0008045855,0.005737036,0.00059560116,0.00015133552,0.00048787222,0.0002538256,0.78486395,0.003790015,0.122762576,0.010720683,0.06806515],"study_design_scores_gemma":[0.0005136697,0.00038201569,0.006048345,0.00015541428,0.0001644211,0.0001344019,0.0005479151,0.92824876,0.0017090568,0.056666818,0.005359756,0.0000693859],"about_ca_topic_score_codex":0.010176438,"about_ca_topic_score_gemma":0.009253777,"teacher_disagreement_score":0.010176438,"about_ca_system_score_codex":0.003390086,"about_ca_system_score_gemma":0.0043127136,"threshold_uncertainty_score":0.025548398},"labels":[],"label_agreement":null},{"id":"W4408006955","doi":"10.1080/01605682.2025.2464218","title":"Optimal reward-based crowdfunding with co-creation","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Project management; Business; Purchasing; Computer science; Marketing; Operations research; Knowledge management; Economics; Management; Engineering","score_opus":0.03760215634849405,"score_gpt":0.35911187397834543,"score_spread":0.32150971762985137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408006955","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":[0.32964632,0.001156185,0.61695945,0.004451868,0.00019415052,0.0010226531,0.00062504585,0.0006242744,0.045319993],"genre_scores_gemma":[0.9686263,0.00028075636,0.02242216,0.00011821214,0.000044624776,0.00024098171,0.000058955116,0.000031182033,0.008176783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997294,0.0011125389,0.00010045292,0.0005439203,0.00024506007,0.0007040007],"domain_scores_gemma":[0.9910781,0.005534654,0.0013912546,0.00048092465,0.00041502938,0.0010999949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040502083,0.0014972441,0.002491906,0.0009787962,0.0012843803,0.0029634302,0.002518979,0.0039806757,0.009199586],"category_scores_gemma":[0.014849119,0.0010640899,0.0012936193,0.00066821754,0.002802247,0.0046319114,0.0031482934,0.002204196,0.00073559105],"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":[0.00082201854,0.000605911,0.0023872843,0.00038328933,0.00012620918,0.0007512898,0.0004120664,0.683781,0.0031094812,0.26963076,0.004254116,0.03373644],"study_design_scores_gemma":[0.00035445212,0.00030418698,0.0010187224,0.000086921194,0.00007818235,0.00018314642,0.0002399488,0.75549936,0.0012221878,0.23662363,0.0043052672,0.0000839295],"about_ca_topic_score_codex":0.0050518885,"about_ca_topic_score_gemma":0.003749483,"teacher_disagreement_score":0.009199586,"about_ca_system_score_codex":0.0034614722,"about_ca_system_score_gemma":0.003310309,"threshold_uncertainty_score":0.030775666},"labels":[],"label_agreement":null},{"id":"W4409515031","doi":"10.1080/01605682.2024.2406243","title":"Applications and challenges of simulation for healthcare operations management in Africa","year":2024,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Bundesministerium für Bildung und Forschung","keywords":"Project management; Health care; Computer science; Scheduling (production processes); Information technology; Operations research; Purchasing; Management science; Information and Communications Technology; Engineering management; Process management; Systems engineering; Operations management; Business; Engineering; Economics","score_opus":0.2283302500766578,"score_gpt":0.4161837026288736,"score_spread":0.1878534525522158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409515031","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.076760024,0.80148774,0.03429403,0.054225847,0.0012647775,0.00052249327,0.0006419393,0.00009341698,0.030709777],"genre_scores_gemma":[0.5033154,0.4725199,0.020648604,0.0020864655,0.00029061822,0.00036622467,0.00021500656,0.000020850233,0.0005368686],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98394245,0.012388783,0.0013620689,0.0003308985,0.0014682993,0.0005076078],"domain_scores_gemma":[0.92820317,0.06364662,0.0030632087,0.00067088404,0.0039237984,0.00049238064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015571062,0.00052849273,0.00070632045,0.004453975,0.0008081836,0.0037498088,0.00059509533,0.0011298378,0.0016055683],"category_scores_gemma":[0.047707364,0.0004392718,0.0010361656,0.00523097,0.0010130352,0.0036443623,0.0017209208,0.0012894277,0.00017538432],"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":[0.00021706313,0.00019974874,0.036463637,0.055187415,0.0007491082,0.0010140655,0.007919524,0.04878034,0.0014447799,0.106597126,0.011445446,0.7299817],"study_design_scores_gemma":[0.000110456516,0.00083232485,0.027795913,0.21067113,0.0010372072,0.0020837858,0.037820276,0.04916345,0.0026129328,0.08722539,0.580406,0.00024114765],"about_ca_topic_score_codex":0.005251857,"about_ca_topic_score_gemma":0.006127919,"teacher_disagreement_score":0.015571062,"about_ca_system_score_codex":0.0028529167,"about_ca_system_score_gemma":0.012929099,"threshold_uncertainty_score":0.082348585},"labels":[],"label_agreement":null},{"id":"W4409623120","doi":"10.1080/01605682.2025.2489131","title":"A sustainable facility location problem with vehicle allocation: an urban logistics case study","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Ministério da Ciência, Tecnologia e Inovação; Universidad de La Sabana; Ministerio de Ciencia, Tecnología e Innovación Productiva","keywords":"Facility location problem; City logistics; Purchasing; Green logistics; Scheduling (production processes); Project management; Operations research; Information and Communications Technology; Business; Facility management; Transport engineering; Computer science; Fleet management; Humanitarian Logistics; Operations management; Environmental economics; Process management; Engineering; Marketing; Systems engineering; Economics","score_opus":0.057793946692062226,"score_gpt":0.31825670377264875,"score_spread":0.2604627570805865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409623120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72213537,0.0015074774,0.21927732,0.0032252672,0.00012790067,0.00063328864,0.0013875751,0.00015565324,0.051550195],"genre_scores_gemma":[0.9381787,0.0007061228,0.053577147,0.000092513554,0.000041716987,0.0002644444,0.00032615106,0.000028278533,0.0067848647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889946,0.0006425482,0.000028791901,0.00010858947,0.00009669557,0.00022384516],"domain_scores_gemma":[0.99841905,0.0011315461,0.00012481151,0.0000596091,0.000112914495,0.00015202595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001307485,0.0009828695,0.0008465112,0.0011153739,0.0016408226,0.001695595,0.0014428061,0.0033326945,0.0046397997],"category_scores_gemma":[0.0020521318,0.0004792995,0.0011525535,0.0029249499,0.0012954207,0.0014594315,0.0014710748,0.00094585825,0.00023578641],"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":[0.00016014838,0.0003361818,0.0028756952,0.00019510447,0.00007697058,0.0022331004,0.00023125322,0.95072836,0.00056804664,0.030181753,0.0022527925,0.0101605635],"study_design_scores_gemma":[0.00017392809,0.0002162086,0.0015122668,0.00004020843,0.000066473745,0.00046966117,0.0015740293,0.9761277,0.0007039229,0.013186661,0.0058808266,0.00004806132],"about_ca_topic_score_codex":0.026410963,"about_ca_topic_score_gemma":0.034259405,"teacher_disagreement_score":0.026410963,"about_ca_system_score_codex":0.0030071866,"about_ca_system_score_gemma":0.0015063967,"threshold_uncertainty_score":0.052514493},"labels":[],"label_agreement":null},{"id":"W4413401094","doi":"10.1080/01605682.2025.2546058","title":"Patient segmentation and resource allocation for tailored healthcare delivery","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Blood Services","keywords":"Health care; Computer science; Healthcare delivery; Purchasing; Resource allocation; Project management; Segmentation; Business; Operations management; Knowledge management; Operations research; Artificial intelligence; Marketing; Engineering; Systems engineering; Economics","score_opus":0.0265614889590065,"score_gpt":0.3436137566803511,"score_spread":0.3170522677213446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413401094","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":[0.04582976,0.00015198992,0.9502631,0.00077091815,0.00003193289,0.00031612147,0.00019902767,0.00050283765,0.0019342417],"genre_scores_gemma":[0.57633567,0.00012631895,0.4217193,0.00024505839,0.000039375,0.00025653894,0.0004230094,0.00008423441,0.0007705969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979621,0.0009695386,0.00012890912,0.00042173776,0.0003237303,0.00019394321],"domain_scores_gemma":[0.9967836,0.001925237,0.0003921334,0.00025560104,0.0004297983,0.0002136018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028050535,0.0007831006,0.0010826014,0.0015458366,0.00077775354,0.0013466317,0.0012232803,0.0011387413,0.0017121694],"category_scores_gemma":[0.009255473,0.00053141743,0.0007130506,0.0013908016,0.00056638964,0.0014004449,0.0012394134,0.0012160138,0.00029931113],"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":[0.00024298915,0.00035540573,0.011435759,0.00012864223,0.00012530597,0.00014313805,0.00066716154,0.74984217,0.0036133616,0.013835881,0.0041124057,0.21549773],"study_design_scores_gemma":[0.000020851056,0.00006495825,0.0013665514,0.000017576058,0.000020787957,0.00004293138,0.00014519635,0.9839012,0.0016275067,0.011420578,0.0013537371,0.000018068056],"about_ca_topic_score_codex":0.008749597,"about_ca_topic_score_gemma":0.011756788,"teacher_disagreement_score":0.008749597,"about_ca_system_score_codex":0.0017799863,"about_ca_system_score_gemma":0.0033917895,"threshold_uncertainty_score":0.017397344},"labels":[],"label_agreement":null},{"id":"W4414612673","doi":"10.1080/01605682.2025.2544865","title":"Green supply chain coordination with profit-sharing and government intervention: a game-theoretic approach applied to the pharmaceutical industry","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Pharmaceutical industry; Government (linguistics); Purchasing; Supply chain management; Production (economics)","score_opus":0.030747634603894864,"score_gpt":0.3221034897736189,"score_spread":0.29135585516972407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414612673","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":[0.068812,0.0006021281,0.87699544,0.003010721,0.00014004299,0.00040444135,0.00014913056,0.000105120365,0.049780987],"genre_scores_gemma":[0.9155636,0.00078466994,0.07416037,0.00030652925,0.00007514661,0.00033527866,0.000044450553,0.000034963818,0.008694937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822444,0.0010444936,0.000048360544,0.00024031762,0.00020651992,0.00023597036],"domain_scores_gemma":[0.9978115,0.0014608956,0.00026720544,0.00008927943,0.00015820532,0.00021294072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026850763,0.001362712,0.001111295,0.0009498549,0.0015534282,0.0039780773,0.0018428401,0.0033231007,0.0049548857],"category_scores_gemma":[0.0045707,0.0006730234,0.0013475694,0.0010642592,0.0039422465,0.003025986,0.002958945,0.0024070677,0.00031329342],"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":[0.00007422698,0.000084862244,0.00044191207,0.00008439551,0.000040115727,0.00033139755,0.0002564745,0.7574226,0.0010131934,0.23425412,0.0005914393,0.005405288],"study_design_scores_gemma":[0.0000335848,0.00008025365,0.00015209189,0.000026291767,0.00002052806,0.000048042857,0.0002515303,0.9179917,0.00021116997,0.07902083,0.002139634,0.000024416948],"about_ca_topic_score_codex":0.011112629,"about_ca_topic_score_gemma":0.0094784,"teacher_disagreement_score":0.011112629,"about_ca_system_score_codex":0.0048677986,"about_ca_system_score_gemma":0.0045209443,"threshold_uncertainty_score":0.035318494},"labels":[],"label_agreement":null},{"id":"W4416223881","doi":"10.1080/01605682.2025.2579861","title":"Snowplough service area reconfiguration using workload balancing techniques with route optimisation for large municipalities","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Surrey Place Centre; Ontario Tech University","funders":"","keywords":"Workload; Control reconfiguration; Scheduling (production processes); Service (business); Information technology; Information system; Information and Communications Technology","score_opus":0.07968452884789758,"score_gpt":0.38376901599018215,"score_spread":0.3040844871422846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416223881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.708718,0.00021851751,0.27990374,0.00024461694,0.000050604012,0.00019711217,0.00016174994,0.0010342507,0.009471379],"genre_scores_gemma":[0.9721995,0.000046420882,0.026415521,0.000013732747,0.0000060931898,0.00004389809,0.00008305659,0.000042950356,0.0011488056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997503,0.00007605705,0.000007905066,0.000047900878,0.00004266894,0.00007524469],"domain_scores_gemma":[0.9997291,0.0000907322,0.000038705497,0.000033958964,0.000056556535,0.00005088853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038255076,0.0006048437,0.00038058666,0.00050701346,0.0005987886,0.00074404845,0.0008760088,0.0003921941,0.0014127285],"category_scores_gemma":[0.00091399084,0.0002980164,0.00039170892,0.0007164174,0.0002768961,0.00058705965,0.0005653551,0.0003059606,0.00020598697],"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":[0.00006446737,0.000039468177,0.0014021598,0.000023373956,0.000016140653,0.000067588226,0.00006705343,0.97415656,0.0030976997,0.00051462883,0.000368125,0.020182848],"study_design_scores_gemma":[0.000007329205,0.0000396187,0.00063081726,0.0000020145014,0.0000061618352,0.000014227574,0.00012872367,0.99774927,0.0006217171,0.00033832274,0.00045758873,0.0000041320304],"about_ca_topic_score_codex":0.030523863,"about_ca_topic_score_gemma":0.04737521,"teacher_disagreement_score":0.030523863,"about_ca_system_score_codex":0.0009763705,"about_ca_system_score_gemma":0.0011357297,"threshold_uncertainty_score":0.06069237},"labels":[],"label_agreement":null},{"id":"W4416664807","doi":"10.1080/01605682.2025.2589320","title":"Operational research for sustainability and sustainable development: introduction to the Special Issue","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Khalifa University of Science, Technology and Research","keywords":"Sustainability; Information and Communications Technology; Project management; Information system; Information technology; Purchasing","score_opus":0.17995213537259894,"score_gpt":0.5150019423385109,"score_spread":0.335049806965912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416664807","genre_codex":"review","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030604698,0.49402013,0.023067802,0.11822181,0.32607505,0.00029529358,0.0005993235,0.00026798443,0.037146572],"genre_scores_gemma":[0.005296134,0.35649112,0.013049491,0.031906463,0.56386954,0.00054716744,0.0008196494,0.0004672389,0.027553232],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9855144,0.004993574,0.0017962788,0.0015381246,0.005660725,0.0004968071],"domain_scores_gemma":[0.9650078,0.021824434,0.002144731,0.001498896,0.008189097,0.0013350924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01599344,0.0025752233,0.0027067002,0.00684275,0.0016089849,0.0069780354,0.0023933814,0.008512047,0.024959503],"category_scores_gemma":[0.029407654,0.0009881514,0.0018221273,0.0062998496,0.0056735817,0.008209518,0.0037831133,0.011313541,0.016077932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038969316,0.000051016614,0.00024286658,0.0013956428,0.000037979455,0.00009238691,0.00012545903,0.00036670762,0.00030492668,0.030973759,0.8181672,0.14820318],"study_design_scores_gemma":[0.000008872629,0.000048763082,0.00056460587,0.0014866861,0.00001834661,0.00031291685,0.00007357159,0.0003075263,0.00007291591,0.022285298,0.9747918,0.000028624894],"about_ca_topic_score_codex":0.0019864163,"about_ca_topic_score_gemma":0.0024822024,"teacher_disagreement_score":0.024959503,"about_ca_system_score_codex":0.0030468486,"about_ca_system_score_gemma":0.0046748305,"threshold_uncertainty_score":0.08458245},"labels":[],"label_agreement":null},{"id":"W4417405393","doi":"10.1080/01605682.2025.2599390","title":"Integrating buyer and supplier objectives in an iterative combinatorial auction for procurement","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; McMaster University; Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Procurement; Purchasing; Project management; Supplier relationship management; Reverse auction; Information technology; Combinatorial auction; Information system; Scheduling (production processes)","score_opus":0.1491316531208211,"score_gpt":0.522288225136903,"score_spread":0.3731565720160819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417405393","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":[0.03141719,0.00008724102,0.96191823,0.00013678498,0.000017025559,0.00028147726,0.000035213543,0.00009003712,0.006016763],"genre_scores_gemma":[0.6380659,0.00016190557,0.35684922,0.00008031612,0.000025960537,0.00039357654,0.00007794741,0.000064234686,0.0042810817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950563,0.002853126,0.00022071441,0.0004949573,0.00086948526,0.00050539913],"domain_scores_gemma":[0.99311066,0.004509388,0.0006386283,0.0006140492,0.00074524287,0.00038206606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008089226,0.001132206,0.0017642129,0.00097262126,0.00096405327,0.0040249913,0.002857477,0.0019592282,0.0047890926],"category_scores_gemma":[0.014472098,0.0009097851,0.0014246244,0.0017858521,0.0016461822,0.0031520652,0.002365075,0.0020808636,0.00084540294],"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":[0.0001673419,0.00018779351,0.0012910676,0.00014470816,0.000096102056,0.00031461738,0.0002617864,0.8859504,0.0028093015,0.079723164,0.0005314087,0.028522322],"study_design_scores_gemma":[0.0000365295,0.00012349054,0.00019635867,0.000015461119,0.00002983337,0.00012370423,0.00006621373,0.96741104,0.0006218413,0.030695455,0.0006539125,0.000026021375],"about_ca_topic_score_codex":0.0024492051,"about_ca_topic_score_gemma":0.0034175764,"teacher_disagreement_score":0.008089226,"about_ca_system_score_codex":0.0019976983,"about_ca_system_score_gemma":0.0043191765,"threshold_uncertainty_score":0.04278046},"labels":[],"label_agreement":null},{"id":"W7084045237","doi":"10.1080/01605682.2025.2554741","title":"Multi-operator driven iterated tabu search for inter-hospital operating room scheduling","year":2025,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Tabu search; Scheduling (production processes); Job shop scheduling; Iterated local search; Project management; Information system; Iterated function","score_opus":0.03287432205564653,"score_gpt":0.35173993184677277,"score_spread":0.3188656097911262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084045237","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":[0.06558867,0.000520706,0.92896926,0.00016109266,0.000042207364,0.00009931789,0.00006452466,0.0003176795,0.004236503],"genre_scores_gemma":[0.7147333,0.00026959012,0.2826896,0.00011399019,0.00002904479,0.00019312414,0.00013801592,0.00008121588,0.0017521455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994506,0.0002866546,0.00001549337,0.000055210792,0.00011480282,0.00007716094],"domain_scores_gemma":[0.99941444,0.000371192,0.000079999736,0.00002747066,0.00007185101,0.00003518124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010172016,0.00063969544,0.0007668929,0.00045656218,0.00029573034,0.00064258015,0.0013024781,0.00071137474,0.0015378952],"category_scores_gemma":[0.0016487545,0.0003325364,0.0005404441,0.0006162288,0.00039592755,0.0005700581,0.0006116771,0.00066777895,0.00017462674],"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":[0.000027061555,0.000021822558,0.0002613065,0.000027260798,0.00002099828,0.000028452265,0.000018997667,0.98611695,0.00048602448,0.0013883928,0.00021306156,0.011389691],"study_design_scores_gemma":[0.000006703348,0.000020198351,0.000043457065,0.0000021135586,0.0000038330745,0.0000064858214,0.000005951963,0.999009,0.00014954466,0.00061159075,0.00013935029,0.0000016696362],"about_ca_topic_score_codex":0.0044797766,"about_ca_topic_score_gemma":0.004107908,"teacher_disagreement_score":0.0044797766,"about_ca_system_score_codex":0.00058098143,"about_ca_system_score_gemma":0.0012636262,"threshold_uncertainty_score":0.008907378},"labels":[],"label_agreement":null}]}