{"meta":{"query_hash":"c88aafa4169e","filters":{"venue":"Advances in computer science research"},"cohort_total":12,"direct_labels_cover":0,"predictions_cover":12,"exported":12,"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/c88aafa4169e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advances+in+computer+science+research"},"results":[{"id":"W1818421379","doi":"10.2991/icecee-15.2015.66","title":"Numerical Simulation for Dual-energy CT Imaging","year":2015,"lang":"en","type":"article","venue":"Advances in computer science research","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Saskatchewan Health Authority","funders":"National Natural Science Foundation of China","keywords":"Digital Enhanced Cordless Telecommunications; Bottleneck; Computer science; Medical imaging; Iterative reconstruction; Projection (relational algebra); Medical physics; Artificial intelligence; Medicine; Algorithm","score_opus":0.05719293915980092,"score_gpt":0.41235393569156514,"score_spread":0.35516099653176425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1818421379","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":[0.032231588,0.0004926297,0.9477336,0.00055686693,0.00019136418,0.0001205874,0.00026504762,0.00063614734,0.017772181],"genre_scores_gemma":[0.5161015,0.00071377534,0.4675821,0.00029083007,0.00008900575,0.000814721,0.00057488715,0.0003203845,0.013512752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967456,0.000074193405,0.000021041502,0.000042431737,0.0001521704,0.000035550554],"domain_scores_gemma":[0.9992712,0.00033209217,0.000069495545,0.000055656274,0.00021872093,0.000052866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042636492,0.0005810651,0.0007941649,0.0006548077,0.0007905418,0.00079687044,0.0011591127,0.0019307367,0.0045441613],"category_scores_gemma":[0.0020033715,0.00038298973,0.0009265481,0.0006940703,0.0007812283,0.00076939963,0.0009977967,0.000887164,0.00075949397],"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":[0.000037841764,0.000035200355,0.00075617083,0.000085631254,0.000015161041,0.00016085901,0.00007262407,0.9694508,0.0033946964,0.019061686,0.0006998181,0.006229519],"study_design_scores_gemma":[0.00000582966,0.000003208318,0.00003687014,0.0000029381692,0.0000015515093,0.000014776304,0.000003961597,0.9983101,0.00023094418,0.00090010074,0.00048654922,0.000003203454],"about_ca_topic_score_codex":0.008000231,"about_ca_topic_score_gemma":0.002879428,"teacher_disagreement_score":0.008000231,"about_ca_system_score_codex":0.00066874566,"about_ca_system_score_gemma":0.0011703388,"threshold_uncertainty_score":0.015907288},"labels":[],"label_agreement":null},{"id":"W1995367425","doi":"10.2991/ict4s-14.2014.34","title":"Life cycle assessment of videoconferencing with call management servers relying on virtualization","year":2014,"lang":"en","type":"article","venue":"Advances in computer science research","topic":"Green IT and Sustainability","field":"Engineering","cited_by":9,"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; Ericsson (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Server; Virtualization; Computer science; Videoconferencing; Computer network; Operating system; Cloud computing","score_opus":0.022509866890218708,"score_gpt":0.3576128579448163,"score_spread":0.33510299105459757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995367425","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":[0.9903499,0.00050765055,0.003921553,0.000048578742,0.000013583747,0.00014760334,0.0014333088,0.000060652706,0.0035172696],"genre_scores_gemma":[0.9965456,0.00021906977,0.0018469493,0.000012821347,0.0000020591124,0.000078284516,0.00062991714,0.000012166915,0.0006532613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994148,0.000120616576,0.000032587275,0.00008081243,0.000234069,0.00011701569],"domain_scores_gemma":[0.99807644,0.0008795271,0.00015850695,0.00008831215,0.00070614927,0.00009111851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014758384,0.000734282,0.00061925495,0.001443334,0.0006071352,0.00093057536,0.00070284156,0.00063718,0.0014948389],"category_scores_gemma":[0.0018729815,0.00026692767,0.000963276,0.0013526317,0.0002963219,0.0007818036,0.00040256657,0.00045724772,0.00029705392],"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":[0.0016306395,0.0010177195,0.055156022,0.00076307385,0.00020944484,0.00054088933,0.00019102407,0.79135734,0.08618206,0.0017108963,0.001285516,0.059955336],"study_design_scores_gemma":[0.00005891966,0.0025257745,0.042219877,0.000046424833,0.00015548023,0.0001424435,0.0003932421,0.8712848,0.07979656,0.0011072631,0.0021924993,0.000076738215],"about_ca_topic_score_codex":0.016050234,"about_ca_topic_score_gemma":0.010256518,"teacher_disagreement_score":0.016050234,"about_ca_system_score_codex":0.0026207068,"about_ca_system_score_gemma":0.00093411084,"threshold_uncertainty_score":0.03191358},"labels":[],"label_agreement":null},{"id":"W2068858716","doi":"10.2991/ict4s-14.2014.35","title":"Modelling of Electricity Mix in Temporal Differentiated Life-Cycle-Assessment to Minimize Carbon Footprint of a Cloud Computing Service","year":2014,"lang":"en","type":"article","venue":"Advances in computer science research","topic":"Green IT and Sustainability","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":true,"ca_institutions":"Ericsson (Canada); École de Technologie Supérieure; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon footprint; Cloud computing; Footprint; Computer science; Electricity; Life-cycle assessment; Service (business); Environmental economics; Business; Greenhouse gas; Production (economics); Engineering; Economics; Microeconomics","score_opus":0.03461515877651444,"score_gpt":0.33797912667976604,"score_spread":0.3033639679032516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068858716","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":[0.8057635,0.00046315353,0.17099659,0.0004062162,0.00004824348,0.00025426614,0.0023082162,0.00028629164,0.019473564],"genre_scores_gemma":[0.9915376,0.00008072459,0.0061258627,0.00001894159,0.0000029400592,0.000065850865,0.00035736305,0.000021757518,0.0017890916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984205,0.0000547325,0.0000078497915,0.000030582774,0.000034447465,0.00003028635],"domain_scores_gemma":[0.9997285,0.00013029418,0.000028376571,0.00001565678,0.00007313471,0.000024016965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041323964,0.0005196319,0.00031533226,0.00054721715,0.00033023648,0.0009327759,0.0006362379,0.00084577274,0.0017035552],"category_scores_gemma":[0.0007262788,0.00031275355,0.00071713905,0.0006427143,0.00027067625,0.000645853,0.0003439188,0.0004257009,0.00018967454],"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":[0.000013326371,0.000010240354,0.000767782,0.000009686768,0.0000068041854,0.000019093024,0.0000070477977,0.99713886,0.0004506244,0.0005383478,0.000061952545,0.00097615045],"study_design_scores_gemma":[0.0000021735607,0.000007290184,0.0003495516,0.0000019441648,0.000002764781,0.000003834084,0.000007340946,0.9990055,0.00021944681,0.00024149394,0.000156549,0.000002259973],"about_ca_topic_score_codex":0.050878614,"about_ca_topic_score_gemma":0.02679738,"teacher_disagreement_score":0.050878614,"about_ca_system_score_codex":0.0021524162,"about_ca_system_score_gemma":0.0013083135,"threshold_uncertainty_score":0.10116494},"labels":[],"label_agreement":null},{"id":"W2095058254","doi":"10.2991/ict4s-14.2014.28","title":"From Computational Thinking to Systems Thinking: A conceptual toolkit for sustainability computing","year":2014,"lang":"en","type":"article","venue":"Advances in computer science research","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":87,"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":"Computational thinking; Transformational leadership; Sustainability; Computer science; Critical systems thinking; Management science; Knowledge management; Critical thinking; Parallel thinking; Set (abstract data type); Systems thinking; Information and Communications Technology; Curriculum; Engineering ethics; Artificial intelligence; Sociology; Engineering; Management; Pedagogy; World Wide Web; Ecology","score_opus":0.18793539064719464,"score_gpt":0.5120945054396774,"score_spread":0.3241591147924827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095058254","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":[0.0057855635,0.0063377703,0.8501971,0.05288273,0.0011125196,0.0002803827,0.00020303448,0.00038438741,0.082816504],"genre_scores_gemma":[0.28879985,0.0064784684,0.6901601,0.0045274724,0.00095474656,0.001500342,0.00026209024,0.00034048967,0.006976404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9917794,0.005872075,0.00053741003,0.0005191036,0.00092709245,0.0003650259],"domain_scores_gemma":[0.9889733,0.00796449,0.00048714192,0.0009078916,0.0008084024,0.0008587829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012756443,0.0014471579,0.001516893,0.007152264,0.0037936196,0.013543043,0.0038756852,0.004159855,0.006080524],"category_scores_gemma":[0.010189568,0.0008806692,0.002346923,0.0066680755,0.033576097,0.024117876,0.0075312243,0.011023179,0.0009842099],"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":[0.0000015320952,0.0000050600215,0.00003286271,0.00003555988,0.000003475666,0.000020783733,0.0007743823,0.00046420863,0.000026258345,0.9969127,0.0004712123,0.0012518074],"study_design_scores_gemma":[0.0000052313917,0.000004528567,0.00003122575,0.00008003213,0.0000028396184,0.00002910413,0.0006494211,0.0025556763,0.00003734846,0.97707194,0.019524463,0.000008220886],"about_ca_topic_score_codex":0.004161321,"about_ca_topic_score_gemma":0.0035209935,"teacher_disagreement_score":0.013543043,"about_ca_system_score_codex":0.007122238,"about_ca_system_score_gemma":0.0068117986,"threshold_uncertainty_score":0.06746328},"labels":[],"label_agreement":null},{"id":"W4320500185","doi":"10.2991/978-94-6463-042-8_106","title":"Research on Influencing Factors of Land Rental Prices for Alfalfa Planting in Minnesota","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological 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":"University of Toronto","funders":"","keywords":"Economic rent; Renting; Sowing; Agriculture; Agricultural economics; Econometrics; Agricultural science; Pairwise comparison; Regression analysis; Mathematics; Statistics; Economics; Geography; Agronomy; Engineering; Environmental science; Microeconomics; Biology","score_opus":0.1719155736391713,"score_gpt":0.4046417983648181,"score_spread":0.23272622472564683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320500185","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":[0.991979,0.0010143806,0.0006466192,0.00017938313,0.000011119127,0.000005067636,0.00035393395,0.000010596163,0.005800006],"genre_scores_gemma":[0.9941245,0.00072250597,0.00081271457,0.000014538626,0.0000052699165,0.000003586776,0.000237021,0.0000070779483,0.004072946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998845,0.000026047894,0.0000059368467,0.000033737164,0.000034800596,0.000014900397],"domain_scores_gemma":[0.9995832,0.00017899204,0.000102521946,0.000014875026,0.000076976976,0.00004354794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003207013,0.00015960635,0.00012130777,0.00045154878,0.00032025002,0.0006544268,0.00026225558,0.00010242997,0.0026360606],"category_scores_gemma":[0.0008557433,0.00011254168,0.00017801805,0.00078735186,0.00016321643,0.000319761,0.00018040674,0.00016937523,0.00018868173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040924533,0.000037750306,0.93153906,0.00011553344,0.00006011995,0.00034971593,0.0026046345,0.0017909731,0.0026934517,0.002429784,0.0028101818,0.055527844],"study_design_scores_gemma":[4.3265925e-7,0.000012033297,0.99297357,0.000016432845,0.00001473691,0.00006380419,0.0013179466,0.0014490578,0.00017637781,0.00014661346,0.0038241742,0.0000049179494],"about_ca_topic_score_codex":0.10907052,"about_ca_topic_score_gemma":0.3963774,"teacher_disagreement_score":0.10907052,"about_ca_system_score_codex":0.00242203,"about_ca_system_score_gemma":0.000777553,"threshold_uncertainty_score":0.21687132},"labels":[],"label_agreement":null},{"id":"W4320500374","doi":"10.2991/978-94-6463-042-8_199","title":"Simulation of Canadian S&P/TSX Composite Index for the First 20 Years in the 21st Century with Random Walk Model","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"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":"","keywords":"Random walk; Stock exchange; Composite index; Econometrics; Index (typography); Statistics; Equity (law); Capitalization; Random walk hypothesis; Mathematics; Stock (firearms); Stock market; Economics; Geography; Computer science; Political science; Finance","score_opus":0.2483777252107473,"score_gpt":0.47012056553486065,"score_spread":0.22174284032411334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320500374","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":[0.9329748,0.0010996949,0.033594295,0.0008939954,0.00020823783,0.00008605332,0.0055358717,0.00059746404,0.025009675],"genre_scores_gemma":[0.98294395,0.00031185322,0.009061859,0.00010130225,0.000015162426,0.000041839896,0.0034025249,0.000045741566,0.004075883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997198,0.000038970928,0.0000137303505,0.00005561211,0.000075682256,0.00009618409],"domain_scores_gemma":[0.99892443,0.0004353811,0.00008326512,0.00005547669,0.00038642916,0.00011498776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057492673,0.00064835104,0.0005371847,0.0008747327,0.000749395,0.00086231396,0.0012286238,0.0011159802,0.0030026897],"category_scores_gemma":[0.0024598225,0.00023208084,0.00073990674,0.0010220255,0.00046275574,0.00051810837,0.0005087623,0.00088994775,0.0002683792],"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":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006247687,0.00003268923,0.0073263044,0.000028029353,0.000020655116,0.000101001424,0.00003803433,0.98161983,0.0003951001,0.0044991653,0.0020419834,0.0038347172],"study_design_scores_gemma":[0.000009322891,0.000008652801,0.00118158,0.000004410172,0.0000071739164,0.00001000829,0.000018615425,0.9974376,0.00020443478,0.0005848433,0.00052522594,0.000008070114],"about_ca_topic_score_codex":0.54005307,"about_ca_topic_score_gemma":0.3685536,"teacher_disagreement_score":0.45994693,"about_ca_system_score_codex":0.0024876927,"about_ca_system_score_gemma":0.0028384957,"threshold_uncertainty_score":0.9253113},"labels":[],"label_agreement":null},{"id":"W4320500423","doi":"10.2991/978-94-6463-042-8_56","title":"How Machine Learning Methods Unravel the Mystery of Bitcoin Price Predictions","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","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":"McGill University","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence; Support vector machine; Predictive power; Cryptocurrency; Term (time); Range (aeronautics); Engineering; Computer security","score_opus":0.070309233531091,"score_gpt":0.3963196929261605,"score_spread":0.32601045939506945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320500423","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":[0.029922185,0.079318985,0.7742322,0.04816282,0.0043735188,0.0000703232,0.00086553197,0.0020634357,0.060990952],"genre_scores_gemma":[0.5625249,0.073302396,0.30590335,0.005772291,0.0071792775,0.00014884351,0.0012193647,0.00088854274,0.043061025],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911374,0.0003374968,0.00004326824,0.00016122391,0.0002995796,0.000044764925],"domain_scores_gemma":[0.9938094,0.0048535634,0.00022465207,0.00047839378,0.00055187225,0.000082206025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029213226,0.00084808405,0.0007738612,0.0012512131,0.0004639547,0.003913331,0.0011445016,0.0015651577,0.0045463745],"category_scores_gemma":[0.016172701,0.0004039133,0.00047347078,0.0016797986,0.0012270994,0.008625128,0.0010110578,0.003908696,0.0031231365],"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":[0.00010707182,0.0000762242,0.0046165437,0.00060472655,0.00016604799,0.00017995072,0.00029200336,0.061641004,0.001563861,0.25896284,0.042387046,0.6294027],"study_design_scores_gemma":[0.000018774306,0.000044724213,0.0011982039,0.00049658085,0.000039480463,0.00020708606,0.00014353245,0.37065586,0.0019293361,0.5666837,0.0585162,0.000066554094],"about_ca_topic_score_codex":0.0019973915,"about_ca_topic_score_gemma":0.0021103837,"teacher_disagreement_score":0.0045463745,"about_ca_system_score_codex":0.00071350083,"about_ca_system_score_gemma":0.0007870781,"threshold_uncertainty_score":0.015449643},"labels":[],"label_agreement":null},{"id":"W4320500566","doi":"10.2991/978-94-6463-042-8_186","title":"Analyses of Factors Affecting Deaths Associated with COVID-19 in Ontario","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"COVID-19 epidemiological studies","field":"Mathematics","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":"Canada Research Chairs; University of New Brunswick; University of Toronto","funders":"","keywords":"Autoregressive integrated moving average; Affect (linguistics); Logistic regression; Demography; Outbreak; Statistic; Coronavirus disease 2019 (COVID-19); Vaccination; Mortality rate; Medicine; Time series; Geography; Statistics; Psychology; Disease; Virology; Mathematics","score_opus":0.6727920876076368,"score_gpt":0.5780406821113928,"score_spread":0.09475140549624395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320500566","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":[0.96096945,0.004392559,0.00071357656,0.0016877756,0.000034409088,0.000048801277,0.011455463,0.000042513384,0.020655517],"genre_scores_gemma":[0.96308523,0.00534744,0.00071057066,0.000087909604,0.00003458117,0.000025950021,0.0058372547,0.000015667121,0.024855554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988234,0.0000108910635,0.0000069701605,0.000015176741,0.000057925994,0.00002672884],"domain_scores_gemma":[0.99970055,0.00007877465,0.00008240127,0.000008115164,0.00008765263,0.00004253068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015869051,0.00015008148,0.00012054971,0.00065466913,0.0004673828,0.00035659768,0.0003013053,0.000113389215,0.0036150704],"category_scores_gemma":[0.0010885721,0.00007614923,0.00028329855,0.0014149474,0.0002162453,0.00014399517,0.0002718364,0.0001773911,0.00024766888],"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":[0.00013801821,0.00002041985,0.94434136,0.0001898701,0.0000511536,0.0005727965,0.0017202464,0.0012565425,0.0007461848,0.0011900308,0.010698058,0.03907532],"study_design_scores_gemma":[0.0000016299654,0.000018055316,0.99175745,0.000019083824,0.000018158198,0.00008058101,0.000997583,0.0006032963,0.000103006714,0.00015825022,0.006237166,0.000005667655],"about_ca_topic_score_codex":0.8893817,"about_ca_topic_score_gemma":0.9561738,"teacher_disagreement_score":0.11061829,"about_ca_system_score_codex":0.008973039,"about_ca_system_score_gemma":0.0056981617,"threshold_uncertainty_score":0.22253942},"labels":[],"label_agreement":null},{"id":"W4320500666","doi":"10.2991/978-94-6463-042-8_76","title":"Application of a Maverick Stock Capturing Strategy in the Chinese Stock Market","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","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":"Stock market; Trading strategy; Financial economics; Stock (firearms); Algorithmic trading; Business; Stock trading; Open outcry; Market maker; Stock market bubble; Alternative trading system; Economics; Geography","score_opus":0.0713628846415521,"score_gpt":0.3328670888276656,"score_spread":0.2615042041861135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320500666","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":[0.55457616,0.002264124,0.43351454,0.0006562769,0.0001280756,0.00020711366,0.00022592234,0.00082118716,0.007606621],"genre_scores_gemma":[0.89231616,0.0005641423,0.10385837,0.00012110628,0.00005242964,0.00005470017,0.00022819337,0.000034033234,0.0027708842],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996531,0.000086999404,0.00003771282,0.00007350452,0.000116140836,0.000032493557],"domain_scores_gemma":[0.99959165,0.000147972,0.00005912987,0.000057811652,0.0001198563,0.000023631914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073693326,0.000556872,0.0003586573,0.0011345742,0.00025881847,0.0008229931,0.0006328346,0.00038794312,0.00078381517],"category_scores_gemma":[0.0021524213,0.00016234384,0.00035975894,0.00087651354,0.00020798916,0.0011966577,0.00039054913,0.00028837047,0.00015943493],"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":[0.00022057323,0.00024084962,0.07539142,0.00011771031,0.00025171955,0.00062972936,0.0003633918,0.103039786,0.021824343,0.027290924,0.0035254413,0.7671042],"study_design_scores_gemma":[0.0000209881,0.0001332646,0.012461756,0.000012129999,0.000072759445,0.00020920008,0.000070748625,0.97446805,0.0053538466,0.005190356,0.0019756702,0.000031223517],"about_ca_topic_score_codex":0.012811796,"about_ca_topic_score_gemma":0.013225417,"teacher_disagreement_score":0.012811796,"about_ca_system_score_codex":0.00055716775,"about_ca_system_score_gemma":0.00062180933,"threshold_uncertainty_score":0.025474489},"labels":[],"label_agreement":null},{"id":"W4320500948","doi":"10.2991/978-94-6463-042-8_91","title":"Research on Consumer Choice Behavior by Reviews on Expedia","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Digital Marketing and Social Media","field":"Social 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":"University of Toronto","funders":"","keywords":"Order (exchange); Marketing; Affect (linguistics); Field (mathematics); Test (biology); Star (game theory); Property (philosophy); Consumer behaviour; Advertising; Business; Psychology; Mathematics","score_opus":0.26630352008881736,"score_gpt":0.5371805820470734,"score_spread":0.27087706195825606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320500948","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":[0.9708789,0.0016279019,0.0005299274,0.00056574715,0.000035440844,0.00007047017,0.0023899255,0.000033866334,0.023867927],"genre_scores_gemma":[0.97841555,0.0016526703,0.0014421226,0.00026274376,0.00005078809,0.00010654746,0.003471999,0.000034165863,0.014563464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990357,0.0003947987,0.000036491292,0.000120174554,0.00036832466,0.000044571363],"domain_scores_gemma":[0.98484904,0.010257776,0.0025308453,0.0003948618,0.0015537335,0.00041383135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013841003,0.00019376296,0.0002854458,0.0011938972,0.00040382924,0.0015783919,0.00031443377,0.00035024603,0.0070130737],"category_scores_gemma":[0.01131687,0.00016951999,0.00034913275,0.0022297418,0.00019849055,0.0013118753,0.00034016868,0.0006581192,0.0016712626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062546,0.0005119638,0.86868054,0.0007462503,0.00031259627,0.00021997943,0.004440436,0.0004996372,0.0018882988,0.002126213,0.016213113,0.10373556],"study_design_scores_gemma":[0.000015351265,0.00023877203,0.9689484,0.00018743772,0.00012376418,0.0001669712,0.004013506,0.0024369243,0.0007463679,0.0004949519,0.022581978,0.00004553755],"about_ca_topic_score_codex":0.008249172,"about_ca_topic_score_gemma":0.020218182,"teacher_disagreement_score":0.008249172,"about_ca_system_score_codex":0.00069078436,"about_ca_system_score_gemma":0.00033097746,"threshold_uncertainty_score":0.023461103},"labels":[],"label_agreement":null},{"id":"W4388999491","doi":"10.2991/978-94-6463-300-9_30","title":"Investigation on the Impact of Preprocessing Methods and Parameter Selection in Acoustic Scene Classification Based on K-means Clustering Algorithm","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Advanced Algorithms and Applications","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":"University of Ottawa","funders":"","keywords":"Cluster analysis; Preprocessor; Selection (genetic algorithm); Computer science; Artificial intelligence; Pattern recognition (psychology); Algorithm; Data mining","score_opus":0.13656166709150805,"score_gpt":0.4354417553933854,"score_spread":0.2988800883018774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388999491","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":[0.31809717,0.0064839176,0.65324545,0.00093119557,0.0004472154,0.00042234245,0.00070059573,0.004695154,0.014976891],"genre_scores_gemma":[0.49252865,0.002404007,0.49855295,0.00021102105,0.000100799996,0.00020449079,0.0016998398,0.00052624464,0.0037719843],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871814,0.00042361175,0.00008204808,0.00021272441,0.00047687875,0.00008664393],"domain_scores_gemma":[0.9966078,0.0021642533,0.00016311904,0.00025397257,0.00076309,0.000047771442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383162,0.0011411759,0.00072038244,0.0014245794,0.00060558115,0.0017190638,0.0010868991,0.0008191234,0.0016242069],"category_scores_gemma":[0.007939354,0.0002885338,0.00072089606,0.0022588014,0.00043263295,0.001380195,0.00058921217,0.0012365733,0.0013998176],"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":[0.0006616029,0.00035430753,0.011781699,0.0007090142,0.00022170604,0.00017578527,0.0004161768,0.12154583,0.034093875,0.0034615595,0.00810924,0.8184691],"study_design_scores_gemma":[0.000037869686,0.00041604944,0.017071238,0.00015129351,0.00015435963,0.00026015408,0.00071408774,0.8980274,0.06614914,0.004002248,0.0129086925,0.000107456726],"about_ca_topic_score_codex":0.007176226,"about_ca_topic_score_gemma":0.008162164,"teacher_disagreement_score":0.007176226,"about_ca_system_score_codex":0.0005929108,"about_ca_system_score_gemma":0.001115188,"threshold_uncertainty_score":0.014268875},"labels":[],"label_agreement":null},{"id":"W7133600984","doi":"10.2991/978-94-6463-980-3_15","title":"Evaluating Starbucks’ ESG Performance: Environmental, Social, and Governance Insights","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in computer science research","topic":"Corporate Social Responsibility Reporting","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":"York University","funders":"","keywords":"Corporate governance; Government (linguistics); Context (archaeology); Perspective (graphical); Information governance; Work (physics)","score_opus":0.10444347542747576,"score_gpt":0.39596774855221506,"score_spread":0.2915242731247393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133600984","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":[0.84742993,0.0005770254,0.0033497312,0.0017177892,0.000051675237,0.00008441775,0.0004902843,0.00013995946,0.14615916],"genre_scores_gemma":[0.9812089,0.00028118736,0.0027583907,0.00012434577,0.000015244616,0.00002576977,0.0006074157,0.000039548082,0.014939326],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99743,0.0006641537,0.00010097735,0.00017885942,0.0013781791,0.00024782916],"domain_scores_gemma":[0.9941479,0.0017518572,0.000748936,0.00035458876,0.0022581867,0.00073840993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004232556,0.00030451544,0.00025565835,0.0023617202,0.0010238547,0.0038655754,0.00041032166,0.00043169755,0.0056837345],"category_scores_gemma":[0.0065598977,0.00011072916,0.00013751845,0.002588618,0.0012459862,0.0035628474,0.0016929142,0.0005286507,0.00114995],"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":[0.0005823368,0.00077506923,0.35364246,0.0003899758,0.00011219376,0.0006174572,0.016180998,0.018473284,0.0036306088,0.13764304,0.05970095,0.40825158],"study_design_scores_gemma":[0.000046336198,0.0019157373,0.7003448,0.00045750025,0.00010733422,0.00039112035,0.057546776,0.03526455,0.010015437,0.03213576,0.16159897,0.00017577758],"about_ca_topic_score_codex":0.013926599,"about_ca_topic_score_gemma":0.023307262,"teacher_disagreement_score":0.013926599,"about_ca_system_score_codex":0.003942642,"about_ca_system_score_gemma":0.0014190678,"threshold_uncertainty_score":0.028605998},"labels":[],"label_agreement":null}]}