{"meta":{"query_hash":"4d12bd3824fd","filters":{"venue":"Mathematics-in-Industry Case Studies"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/4d12bd3824fd","api":"https://metacan.xera.ac/api/v1/cohort?venue=Mathematics-in-Industry+Case+Studies"},"results":[{"id":"W2343505850","doi":"10.1186/s40929-016-0005-4","title":"Electric ion dispersion as a new type of mass spectrometer","year":2016,"lang":"en","type":"article","venue":"Mathematics-in-Industry Case Studies","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","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 Ontario Institute of Technology","funders":"","keywords":"Mass spectrometry; Quadrupole; Quadrupole mass analyzer; Electromagnetic mass; Physics; Electric field; Computational physics; Secondary ion mass spectrometry; Magnetic field; Dispersion (optics); Spectrometer; Analytical Chemistry (journal); Chemistry; Atomic physics; Optics; Classical mechanics; Chromatography","score_opus":0.03981757150937782,"score_gpt":0.3236951677128028,"score_spread":0.283877596203425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343505850","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":[0.075789966,0.0008817807,0.8954316,0.0016116182,0.00019524325,0.00029354688,0.00006310796,0.0007991983,0.024933925],"genre_scores_gemma":[0.3869181,0.00055804715,0.5917829,0.00052003365,0.00010169125,0.0002638231,0.00006948351,0.00013682121,0.019649012],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99679035,0.0008582283,0.00017164747,0.0005916883,0.0014631962,0.0001247825],"domain_scores_gemma":[0.99736816,0.0012775133,0.00030830776,0.00044936614,0.00045358692,0.00014307469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028048973,0.0005703383,0.00050682476,0.0011812528,0.000732332,0.0021636197,0.0016131718,0.0017344482,0.0036971045],"category_scores_gemma":[0.0038083855,0.00060934824,0.00045369208,0.0010149669,0.0020306576,0.0032559698,0.0023067421,0.0012125925,0.0009925006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020708046,0.0007005532,0.0052221627,0.000639633,0.00011837845,0.0010744741,0.0012223703,0.04956573,0.3984488,0.24774793,0.0025894737,0.29059973],"study_design_scores_gemma":[0.0006408327,0.0027199804,0.0016675404,0.00017586604,0.00014818489,0.0027514838,0.00048351422,0.33246458,0.4034548,0.13295704,0.12234988,0.00018638432],"about_ca_topic_score_codex":0.00025746605,"about_ca_topic_score_gemma":0.00032846056,"teacher_disagreement_score":0.0036971045,"about_ca_system_score_codex":0.0013390816,"about_ca_system_score_gemma":0.0006421189,"threshold_uncertainty_score":0.014833868},"labels":[],"label_agreement":null},{"id":"W2529814590","doi":"10.1186/s40929-016-0009-0","title":"NHL expansion and fan allegiance: a mathematical modelling study","year":2016,"lang":"en","type":"article","venue":"Mathematics-in-Industry Case Studies","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Allegiance; League; Las vegas; Geography; Infectious disease (medical specialty); Operations research; Cartography; Advertising; Disease; Political science; Engineering; Business; Medicine; Archaeology; Law; Pathology; Politics","score_opus":0.12158676641866856,"score_gpt":0.3891083550405039,"score_spread":0.26752158862183534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529814590","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":[0.7973389,0.0018751711,0.09076553,0.0063972417,0.00017977938,0.00035897392,0.0025461325,0.00014794288,0.10039044],"genre_scores_gemma":[0.96959287,0.0010055949,0.006458954,0.00021837754,0.00006685026,0.00017817185,0.00033588964,0.000027128594,0.022116201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953306,0.000168651,0.000012823189,0.000043688935,0.00004564148,0.00019612015],"domain_scores_gemma":[0.9971835,0.0018250835,0.0004170906,0.000051407806,0.00026454407,0.00025833215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013865147,0.000944386,0.0009433905,0.0013575882,0.0013583874,0.0021814613,0.0020706237,0.002191248,0.010746142],"category_scores_gemma":[0.0035349857,0.0004085308,0.0013144291,0.0013034827,0.0014120593,0.0011668853,0.0018264514,0.0018329611,0.0006394242],"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":[0.00007140066,0.00031245145,0.014116772,0.00010328928,0.0000766735,0.0006750239,0.0003754896,0.89752483,0.00041279008,0.077705815,0.0044192104,0.004206345],"study_design_scores_gemma":[0.00004108626,0.000095947405,0.0032151097,0.00003704521,0.000068081485,0.00007258705,0.0010902231,0.98066163,0.00007511438,0.0114754755,0.003139459,0.000028286286],"about_ca_topic_score_codex":0.30130538,"about_ca_topic_score_gemma":0.2684085,"teacher_disagreement_score":0.6986946,"about_ca_system_score_codex":0.00548482,"about_ca_system_score_gemma":0.0039144796,"threshold_uncertainty_score":0.5991032},"labels":[],"label_agreement":null},{"id":"W2624608654","doi":"10.1186/s40929-017-0011-1","title":"Modelling the cardiovascular system for assessing the blood pressure curve","year":2017,"lang":"en","type":"article","venue":"Mathematics-in-Industry Case Studies","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":17,"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":"University of British Columbia; Ministerio de Ciencia e Innovación; Ministerio de Economía y Competitividad; University of Limerick; Science Foundation Ireland","keywords":"MATLAB; Convergence (economics); Process (computing); Model parameter; Computer science; Function (biology); Simple (philosophy); Algorithm; Basis (linear algebra); Applied mathematics; Mathematics","score_opus":0.09477892109401413,"score_gpt":0.36385383059951554,"score_spread":0.2690749095055014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624608654","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":[0.023900216,0.0002537588,0.9714884,0.0001553795,0.000032711443,0.0001348284,0.00020039297,0.00042710252,0.0034072977],"genre_scores_gemma":[0.577755,0.00085056014,0.41157824,0.00007884519,0.00003867235,0.00061278016,0.00042469826,0.00013145508,0.008529849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974996,0.00009319545,0.000018634577,0.000037853224,0.000079897036,0.000020575042],"domain_scores_gemma":[0.999608,0.00024401859,0.000044440778,0.000028902758,0.00006213528,0.000012605528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048383637,0.0005770007,0.0004562387,0.0005163129,0.00026721772,0.0008440932,0.00090079,0.0011435596,0.0029259652],"category_scores_gemma":[0.0015398375,0.00025244293,0.0005000145,0.00050651375,0.00028269255,0.00045908222,0.0005732906,0.0007363398,0.0009010247],"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":[0.00009868285,0.00006837948,0.004645716,0.00037208264,0.00005144472,0.00041228943,0.00023399023,0.8672085,0.029991105,0.012731987,0.0015076663,0.08267821],"study_design_scores_gemma":[0.000009009911,0.000081307335,0.0011133589,0.000021952677,0.000019593497,0.00025054,0.000026216348,0.9840199,0.005217539,0.0037639148,0.00545599,0.000020679629],"about_ca_topic_score_codex":0.0047346903,"about_ca_topic_score_gemma":0.0035148638,"teacher_disagreement_score":0.0047346903,"about_ca_system_score_codex":0.00043316546,"about_ca_system_score_gemma":0.0010703334,"threshold_uncertainty_score":0.009788334},"labels":[],"label_agreement":null},{"id":"W2754603391","doi":"10.1186/s40929-017-0012-0","title":"Modelling and optimizing a system for testing electronic circuit boards","year":2017,"lang":"en","type":"article","venue":"Mathematics-in-Industry Case Studies","topic":"Optimization and Packing Problems","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":"Group for Research in Decision Analysis; Université du Québec à Montréal; University of Toronto; HEC Montréal; York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Test (biology); Electronic systems; Printed circuit board; Mathematical optimization; Industrial engineering; Operations research; Engineering; Mathematics; Electronic engineering","score_opus":0.09908133979152094,"score_gpt":0.2945399299416964,"score_spread":0.19545859015017547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754603391","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":[0.14466721,0.00049269316,0.8258463,0.0007875858,0.000044903645,0.00022133334,0.00036452984,0.0004097558,0.027165651],"genre_scores_gemma":[0.83826095,0.0006030144,0.1515629,0.000053726915,0.000019640866,0.00026844972,0.000346115,0.0001405812,0.008744612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994081,0.00023822076,0.000019342504,0.00009789445,0.00013096677,0.00010550095],"domain_scores_gemma":[0.9993604,0.00043660105,0.000067807036,0.000045451743,0.0000562042,0.000033545508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061565486,0.0011436119,0.0005883121,0.00047364796,0.00047809194,0.0014692547,0.00084116147,0.0016282364,0.004885313],"category_scores_gemma":[0.0018867214,0.00059930247,0.00079939427,0.0008296288,0.0011277405,0.0014048438,0.0006538775,0.0010684564,0.00037763594],"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":[0.00001553133,0.000015622363,0.00016524196,0.000025985833,0.0000049213063,0.000050124225,0.000015442625,0.98913574,0.0008418704,0.006949927,0.00015291989,0.002626686],"study_design_scores_gemma":[0.000012295873,0.000046878165,0.00016792552,0.0000068365343,0.000009906222,0.000027029195,0.000036794427,0.990672,0.0008966988,0.0070966925,0.0010210241,0.000005876826],"about_ca_topic_score_codex":0.011867309,"about_ca_topic_score_gemma":0.009915101,"teacher_disagreement_score":0.011867309,"about_ca_system_score_codex":0.0015101,"about_ca_system_score_gemma":0.0015446321,"threshold_uncertainty_score":0.023596466},"labels":[],"label_agreement":null},{"id":"W2761686788","doi":"10.1186/s40929-017-0016-9","title":"Liquidity and volatility commonality in the Canadian stock market","year":2017,"lang":"en","type":"article","venue":"Mathematics-in-Industry Case Studies","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; Centre for Global Health Research; York University","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; Mitacs; Fields Institute for Research in Mathematical Sciences; TD Bank","keywords":"Market liquidity; Liquidity crisis; Accounting liquidity; Volatility (finance); Liquidity risk; Monetary economics; Market maker; Liquidity premium; Economics; Stock (firearms); Bid–ask spread; Market impact; Stock market; Financial economics; Business; Econometrics; Market microstructure; Finance; Order (exchange); Engineering; Biology","score_opus":0.14036402682338597,"score_gpt":0.30983848322355734,"score_spread":0.16947445640017136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761686788","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":[0.997357,0.00039677694,0.00023788221,0.00013315356,0.0000017936472,0.000006812109,0.00026430088,0.0000053943854,0.0015968807],"genre_scores_gemma":[0.99944,0.00012378387,0.00011834654,0.0000071339296,0.0000025561242,0.0000013390878,0.00017068854,8.1797566e-7,0.00013530468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922395,0.00008885729,0.00003672596,0.00011175802,0.0003472629,0.00019154062],"domain_scores_gemma":[0.99667764,0.00091456814,0.0010672937,0.00018463256,0.0008596065,0.00029622472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010180789,0.00024198215,0.0003325415,0.0033571848,0.0015198317,0.001583755,0.00053322094,0.00027378535,0.0011663778],"category_scores_gemma":[0.0068667205,0.000116586794,0.00047067006,0.0037909192,0.0009778492,0.00091809075,0.0009822943,0.00032966962,0.00004131156],"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":[0.00020956434,0.000050700306,0.9646569,0.000049779217,0.00029904128,0.00034997007,0.0015120229,0.003987139,0.0010130613,0.008277068,0.00076079374,0.018834082],"study_design_scores_gemma":[0.000011383694,0.000023332488,0.98947376,0.000016215901,0.000080448845,0.00009822454,0.0011069627,0.0061580595,0.00032399312,0.0017152439,0.00096257305,0.000029793311],"about_ca_topic_score_codex":0.89567965,"about_ca_topic_score_gemma":0.9102759,"teacher_disagreement_score":0.10432035,"about_ca_system_score_codex":0.008984087,"about_ca_system_score_gemma":0.006139084,"threshold_uncertainty_score":0.20986938},"labels":[],"label_agreement":null},{"id":"W2763580169","doi":"10.1186/s40929-017-0015-x","title":"Credit contingent interest rate swap pricing","year":2017,"lang":"en","type":"article","venue":"Mathematics-in-Industry Case Studies","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","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":"Fields Institute for Research in Mathematical Sciences; St. Joseph's Care Group; York University; Royal Bank of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Counterparty; Credit default swap; Credit valuation adjustment; Credit risk; Default; Swap (finance); Actuarial science; Interest rate swap; Economics; Credit default swap index; Econometrics; Business; Finance; Credit reference","score_opus":0.13847055928316038,"score_gpt":0.322520794476926,"score_spread":0.18405023519376562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763580169","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":[0.03053844,0.0016457516,0.9173548,0.0006964554,0.0002500799,0.00009523417,0.0002402856,0.0003188928,0.048860025],"genre_scores_gemma":[0.89566207,0.0013937799,0.08208912,0.00017003648,0.00023354412,0.000095872456,0.0003232648,0.00010426019,0.01992808],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989838,0.0003044519,0.000047550086,0.00018195489,0.00038385452,0.0000984652],"domain_scores_gemma":[0.99915767,0.00027670673,0.000105514955,0.00016164746,0.00024135369,0.000057179703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012017373,0.0006800849,0.0007008577,0.0005146553,0.00043329925,0.0023483292,0.0012477897,0.0016332289,0.0051728226],"category_scores_gemma":[0.005069925,0.00031557857,0.0010687358,0.00083487114,0.0010119322,0.0023519057,0.0007895789,0.0019114946,0.00081015757],"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":[0.000029177701,0.00003893246,0.0009219084,0.00005213108,0.00002475217,0.0002508119,0.000070605296,0.20374121,0.0024069964,0.75721645,0.0031426894,0.032104373],"study_design_scores_gemma":[0.000011900772,0.000019947402,0.00040486746,0.000015516174,0.00000903051,0.00014554977,0.00001800689,0.8568827,0.0006101539,0.13616751,0.005690844,0.000024021723],"about_ca_topic_score_codex":0.0024705152,"about_ca_topic_score_gemma":0.00092531566,"teacher_disagreement_score":0.0051728226,"about_ca_system_score_codex":0.001111487,"about_ca_system_score_gemma":0.0009155937,"threshold_uncertainty_score":0.017304778},"labels":[],"label_agreement":null}]}