{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":44,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":44,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"e282604b296f","filters":{"venue":"Computation"}},"results":[{"id":"W3025824561","doi":"10.3390/computation8020046","title":"Addressing Examination Timetabling Problem Using a Partial Exams Approach in Constructive and Improvement","year":2020,"lang":"en","type":"article","venue":"Computation","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Computer science; Constructive; Scheduling (production processes); Heuristic; Mathematical optimization; Operations research; Process (computing); Quality (philosophy); Machine learning; Artificial intelligence; Mathematics","authors":[{"name":"Ashis Kumar Mandal","is_ca":false},{"name":"Mohd Nizam Mohmad Kahar","is_ca":false},{"name":"Graham Kendall","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3593459955887414,"gpt":0.4124942256057006,"spread":0.05314823001695923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003634857,0.001150321,0.001234055,0.002431436,0.0008669097,0.001421409,0.002172077,0.001005316,0.004267973],"category_scores_gemma":[0.008545422,0.0006879551,0.001578658,0.002811098,0.001619521,0.002101288,0.001411949,0.001697906,0.0005617477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609237,"about_ca_system_score_gemma":0.003652606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006006949,"about_ca_topic_score_gemma":0.009138172,"domain_scores_codex":[0.9975343,0.001218318,0.0001084811,0.0003854143,0.0005388295,0.0002147799],"domain_scores_gemma":[0.994822,0.003393308,0.000398468,0.000573453,0.0006209524,0.0001917979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001567396,0.0004104484,0.002322805,0.0005861526,0.0001003708,0.0001487985,0.0004365175,0.5688959,0.003665705,0.03855666,0.00403938,0.3806806],"study_design_scores_gemma":[0.0000686046,0.0003450021,0.0006665827,0.00006724854,0.00006198961,0.0001180081,0.0001489554,0.9552552,0.003791129,0.03065999,0.00879133,0.00002586991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.021602,0.0006058487,0.9729396,0.0003931853,0.00005073681,0.0002185561,0.00008603815,0.0006549574,0.003449062],"genre_scores_gemma":[0.1545093,0.0004445114,0.8418964,0.000158617,0.00005727309,0.0002764043,0.0003123408,0.0001350112,0.002210137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006006949,"threshold_uncertainty_score":0.01922315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4228996800","doi":"10.3390/computation10020019","title":"Hexatetra-Carbon: A Novel Two-Dimensional Semiconductor Allotrope of Carbon","year":2022,"lang":"en","type":"article","venue":"Computation","topic":"Graphene research and applications","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Graphene; Semiconductor; Carbon fibers; Monolayer; Materials science; Density functional theory; Band gap; Phonon; Bilayer graphene; Direct and indirect band gaps; Electronic band structure; Nanotechnology; Condensed matter physics; Chemical physics; Optoelectronics; Computational chemistry; Chemistry; Physics; Composite material","authors":[{"name":"Mosayeb Naseri","is_ca":true},{"name":"Jaafar Jalilian","is_ca":false},{"name":"Dennis R. Salahub","is_ca":true},{"name":"Maicon Pierre Lourenço","is_ca":false},{"name":"G. Rezaei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03297252472008425,"gpt":0.2924972133710321,"spread":0.2595246886509479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002948679,0.0001645731,0.0001767869,0.0001579171,0.0002401251,0.000293942,0.0004090544,0.0003320115,0.001798507],"category_scores_gemma":[0.00007247938,0.000108052,0.0001292922,0.000227426,0.0001580596,0.0002433941,0.0002206087,0.0002392672,0.000185722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883361,"about_ca_system_score_gemma":0.0003055336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006531644,"about_ca_topic_score_gemma":0.002155699,"domain_scores_codex":[0.9999696,0.000002296586,0.000001167552,0.000006399538,0.00001376662,0.000006764696],"domain_scores_gemma":[0.9999698,0.00000522823,0.000003215185,0.000007566353,0.000006667942,0.000007436336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002104392,0.0001627355,0.002299755,0.0005634513,0.00007231833,0.001001103,0.0001051674,0.08520581,0.8489047,0.02824646,0.001448315,0.03177977],"study_design_scores_gemma":[0.0001853835,0.001461452,0.00478168,0.00004657439,0.00005992339,0.001077632,0.0001807052,0.5189857,0.431163,0.00837876,0.03358258,0.00009652822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615868,0.0005811405,0.02303869,0.0001445219,0.00007242892,0.00007567147,0.0004389763,0.0002318406,0.01382998],"genre_scores_gemma":[0.9600633,0.0004922065,0.03645157,0.00007968408,0.000007501659,0.00009860768,0.0003519355,0.00003492425,0.002420134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001798507,"threshold_uncertainty_score":0.006016612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1980908219","doi":"10.3390/computation1010016","title":"Structural Features That Stabilize ZnO Clusters: An Electronic Structure Approach","year":2013,"lang":"en","type":"article","venue":"Computation","topic":"ZnO doping and properties","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Compute Canada","keywords":"Wurtzite crystal structure; Density functional theory; Formalism (music); Materials science; Band gap; Electronic structure; Periodic boundary conditions; Nanocrystal; Structural stability; Kinetic energy; Chemical physics; Nanotechnology; Condensed matter physics; Molecular physics; Boundary value problem; Computational chemistry; Optoelectronics; Chemistry; Zinc; Physics; Classical mechanics; Structural engineering; Quantum mechanics","authors":[{"name":"Csaba E. Szakacs","is_ca":true},{"name":"E. S.","is_ca":true},{"name":"Kristin M. Poduska","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0223387151270254,"gpt":0.2463558945633787,"spread":0.2240171794363533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008199122,0.0003148837,0.0003205742,0.0003596422,0.0005342909,0.0005703893,0.0006858723,0.0005880489,0.001824152],"category_scores_gemma":[0.0002486053,0.0002207004,0.0002958048,0.0002036688,0.0004304966,0.000453216,0.0003350344,0.0003861407,0.0002098381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006586375,"about_ca_system_score_gemma":0.0003832998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070022,"about_ca_topic_score_gemma":0.003456349,"domain_scores_codex":[0.9999541,0.000003803134,0.000001546592,0.000007207369,0.00002241989,0.00001088236],"domain_scores_gemma":[0.9999585,0.00001210217,0.000006209708,0.000007887086,0.000009015225,0.000006242484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002596817,0.0002774754,0.003959484,0.0004593658,0.00006455158,0.0005708952,0.0001875269,0.5520074,0.2382468,0.1745209,0.001863248,0.02758266],"study_design_scores_gemma":[0.0001304635,0.000240378,0.00169548,0.00002169946,0.00003596429,0.0001130489,0.0001295377,0.9308791,0.02872618,0.0348079,0.003190431,0.00002991465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133832,0.0006255916,0.06216769,0.000796415,0.00008952674,0.00008712005,0.0002632532,0.0003090132,0.02227831],"genre_scores_gemma":[0.977322,0.0003262294,0.02107782,0.00008337407,0.00001206014,0.00005985438,0.0001488031,0.00004171445,0.0009279503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002070022,"threshold_uncertainty_score":0.006102383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041249308","doi":"10.3390/computation8030066","title":"Performance of Overset Mesh in Modeling the Wake of Sharp-Edge Bodies","year":2020,"lang":"en","type":"article","venue":"Computation","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; Compute Canada","keywords":"Wake; Reynolds number; Drag; Mechanics; Lift (data mining); Reynolds-averaged Navier–Stokes equations; Lift-to-drag ratio; Computational fluid dynamics; Vortex shedding; Flow (mathematics); Geometry; Grid; Physics; Mathematics; Computer science; Turbulence","authors":[{"name":"Suyash Verma","is_ca":true},{"name":"Arman Hemmati","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02011183935048337,"gpt":0.2186421303149441,"spread":0.1985302909644607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003092336,0.0005181541,0.0004426514,0.0003728726,0.0003072052,0.0007095307,0.0007576867,0.0006313148,0.001736857],"category_scores_gemma":[0.001102036,0.0002172654,0.0005605678,0.0003310684,0.000302805,0.000523251,0.0005691785,0.0004411754,0.0002256563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00025083,"about_ca_system_score_gemma":0.0006121732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006876359,"about_ca_topic_score_gemma":0.007034658,"domain_scores_codex":[0.9999022,0.00002298573,0.000008085412,0.00001277867,0.00003456831,0.00001935155],"domain_scores_gemma":[0.9995667,0.0002333271,0.00004832187,0.00005229087,0.00006327256,0.00003599342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002217388,0.0001016229,0.01214792,0.0001122122,0.00005267171,0.0002489862,0.0001433136,0.954,0.008619004,0.00121526,0.0004271838,0.02271005],"study_design_scores_gemma":[0.00000845439,0.00004721447,0.0008882693,0.000006659955,0.000003914357,0.00001924655,0.00003310476,0.9977705,0.0008058143,0.0001379511,0.0002738965,0.000004895747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749484,0.0002509348,0.1156017,0.0001139981,0.0001356653,0.0001023539,0.0004667403,0.001285862,0.007094285],"genre_scores_gemma":[0.9592851,0.0001059586,0.03912774,0.00003302448,0.000009647368,0.00004761434,0.0003361033,0.000122878,0.0009319982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006876359,"threshold_uncertainty_score":0.01367265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2760304121","doi":"10.3390/computation5040043","title":"Self-Organizing Map for Characterizing Heterogeneous Nucleotide and Amino Acid Sequence Motifs","year":2017,"lang":"en","type":"article","venue":"Computation","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Self-organizing map; Computer science; Cluster analysis; Sequence motif; Hierarchical clustering; Sequence (biology); Alphanumeric; Artificial intelligence; Set (abstract data type); Data mining; Pattern recognition (psychology); Computational biology; Gene; Biology; Genetics","authors":[{"name":"Xuhua Xia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03059085968737715,"gpt":0.2938759811167324,"spread":0.2632851214293553,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002344012,0.0003189268,0.0002608295,0.001235205,0.0001907524,0.000480151,0.0003348795,0.0002977934,0.001261574],"category_scores_gemma":[0.0007078858,0.0001077715,0.0003395592,0.001199295,0.0002577394,0.0005487255,0.000270367,0.0003015027,0.0005023173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691669,"about_ca_system_score_gemma":0.0003041455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009242042,"about_ca_topic_score_gemma":0.001180619,"domain_scores_codex":[0.9998662,0.0000286355,0.000009858089,0.00002918369,0.00005074715,0.00001521428],"domain_scores_gemma":[0.9998415,0.00005396492,0.00002021345,0.00002046077,0.00005135396,0.00001248304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002766935,0.0001418959,0.006538174,0.0006225886,0.000131228,0.0004376136,0.0003147379,0.1219801,0.1222716,0.05252827,0.00921136,0.6855458],"study_design_scores_gemma":[0.00001398275,0.00008490659,0.004721957,0.0000401334,0.00003435163,0.000342215,0.0001659291,0.9149888,0.03178048,0.03075117,0.01703293,0.00004314645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04367182,0.0006010858,0.9502447,0.00008477659,0.00005501377,0.00009088628,0.0004863913,0.0009325545,0.003832801],"genre_scores_gemma":[0.3567858,0.0005156074,0.6387283,0.00005323587,0.00003679665,0.0002008863,0.0009316605,0.0000865135,0.002661318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001261574,"threshold_uncertainty_score":0.004220366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4293010207","doi":"10.3390/computation10090144","title":"A Review and Taxonomy on Fault Analysis in Transmission Power Systems","year":2022,"lang":"en","type":"review","venue":"Computation","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; Université Laval; University of Winnipeg","funders":"","keywords":"Taxonomy (biology); Computer science; Fault (geology); Electric power system; Data science; Grid; Power grid; Power transmission; Systems engineering; Reliability engineering; Risk analysis (engineering); Power (physics); Engineering; Business","authors":[{"name":"Yaser Al Mtawa","is_ca":true},{"name":"Anwar Haque","is_ca":true},{"name":"Talal Halabi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04539270347866624,"gpt":0.2986933795103537,"spread":0.2533006760316875,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053781,0.001513311,0.001406277,0.006122874,0.000516135,0.002158621,0.001430962,0.001640013,0.004700165],"category_scores_gemma":[0.004062846,0.0006047468,0.0009817324,0.0104129,0.0008145226,0.003417631,0.0008788544,0.001363367,0.002068539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009363684,"about_ca_system_score_gemma":0.002510844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003272676,"about_ca_topic_score_gemma":0.003551773,"domain_scores_codex":[0.9992831,0.0001493817,0.0001378388,0.0001310185,0.0002540252,0.00004469973],"domain_scores_gemma":[0.9967265,0.002343985,0.0002324951,0.00009309997,0.0005497812,0.0000540512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004584208,0.00007653893,0.0005898349,0.04864503,0.0001299194,0.0002715081,0.0003094265,0.003911893,0.0009749523,0.02560847,0.04391363,0.875523],"study_design_scores_gemma":[0.00001123197,0.0001216509,0.001757832,0.03059217,0.0002521398,0.001084193,0.0003416669,0.002111409,0.0008277475,0.02292015,0.9399036,0.00007624109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003118619,0.9903257,0.004575043,0.0006541992,0.0004177492,0.00002183254,0.00008813876,0.00003933889,0.003566153],"genre_scores_gemma":[0.002366201,0.992723,0.003372695,0.0002573839,0.0004725067,0.00002061326,0.0001151564,0.00001084545,0.0006614755],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006122874,"threshold_uncertainty_score":0.01572359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220697184","doi":"10.3390/computation10040051","title":"In Silico Analysis of the Multi-Targeted Mode of Action of Ivermectin and Related Compounds","year":2022,"lang":"en","type":"article","venue":"Computation","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"In silico; Ivermectin; Docking (animal); Infectivity; Mode of action; Chemistry; Virus; Binding site; Receptor; Cholinergic; Mechanism of action; Biology; Pharmacology; Virology; Biochemistry; In vitro; Medicine; Gene","authors":[{"name":"Maral Aminpour","is_ca":true},{"name":"Marco Cannariato","is_ca":false},{"name":"Jordane Preto","is_ca":false},{"name":"M. Ehsan Safaeeardebili","is_ca":false},{"name":"Alexia Moracchiato","is_ca":false},{"name":"Domiziano Doria","is_ca":false},{"name":"F. Donato","is_ca":false},{"name":"Eric A. Zizzi","is_ca":false},{"name":"Marco A. Deriu","is_ca":false},{"name":"David Scheim","is_ca":false},{"name":"Alessandro D. Santin","is_ca":false},{"name":"Jack A. Tuszyński","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01462260943404378,"gpt":0.2626417169363084,"spread":0.2480191075022646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003231773,0.001181534,0.001335632,0.0006748041,0.0004231903,0.000996462,0.0007343065,0.0009591628,0.005610994],"category_scores_gemma":[0.0007037578,0.0004380957,0.001790867,0.0005399645,0.0002450263,0.0003227462,0.0003241366,0.0004713603,0.0006282146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000692652,"about_ca_system_score_gemma":0.000995625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006764587,"about_ca_topic_score_gemma":0.006571315,"domain_scores_codex":[0.9998286,0.00004268933,0.000009197925,0.00002738007,0.00004471262,0.00004749712],"domain_scores_gemma":[0.9996067,0.0002774017,0.00004245488,0.00000988256,0.00004044032,0.00002326522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002640744,0.0001185609,0.003320744,0.0003282328,0.0001651386,0.0002414333,0.00002053585,0.9800919,0.009465536,0.001255568,0.0005518849,0.004176251],"study_design_scores_gemma":[0.00009412358,0.0004340866,0.001618955,0.00002888548,0.0001845668,0.0001477415,0.00005219044,0.9909827,0.004036255,0.0008200825,0.001582862,0.00001754036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363085,0.001994731,0.02869759,0.0004071193,0.0000751106,0.0002192197,0.004574435,0.0005000805,0.02722314],"genre_scores_gemma":[0.9797948,0.001270353,0.01246618,0.0001982171,0.00001532421,0.0002256382,0.002492367,0.00006746403,0.003469705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006764587,"threshold_uncertainty_score":0.01877069,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4224288533","doi":"10.3390/computation10040060","title":"Natural Convection Flow over a Vertical Permeable Circular Cone with Uniform Surface Heat Flux in Temperature-Dependent Viscosity with Three-Fold Solutions within the Boundary Layer","year":2022,"lang":"en","type":"article","venue":"Computation","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"North South University","keywords":"Prandtl number; Nusselt number; Boundary layer; Mechanics; Thermodynamics; Heat transfer coefficient; Natural convection; Film temperature; Heat flux; Heat transfer; Viscosity; Boundary value problem; Materials science; Physics; Mathematics; Mathematical analysis; Reynolds number; Turbulence","authors":[{"name":"Md Farhad Hasan","is_ca":false},{"name":"Md. Mamun Molla","is_ca":false},{"name":"Md. Kamrujjaman","is_ca":false},{"name":"Sadia Siddiqa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0101566566172669,"gpt":0.2005224568806387,"spread":0.1903658002633719,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835926,0.0004105919,0.0003398194,0.0002064628,0.0002192743,0.0006954893,0.0003284508,0.0004828891,0.0003917815],"category_scores_gemma":[0.0006977345,0.0001504083,0.0003634385,0.0001808188,0.0004304785,0.0003195087,0.0003118452,0.0003245831,0.0000751866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003426356,"about_ca_system_score_gemma":0.0005575351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005298079,"about_ca_topic_score_gemma":0.002164226,"domain_scores_codex":[0.9998984,0.00001534722,0.000004772427,0.00001984249,0.00003886327,0.0000227301],"domain_scores_gemma":[0.9997905,0.00006516738,0.00004673948,0.00001343449,0.00006152167,0.00002268165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004516501,0.0001913319,0.00600883,0.0002306676,0.00002205839,0.001103777,0.0003090337,0.6290148,0.3449303,0.005762434,0.000158348,0.01181681],"study_design_scores_gemma":[0.0000371783,0.0002922142,0.002197101,0.00001461503,0.000008660515,0.000130985,0.00006386633,0.9638677,0.03237325,0.0005659914,0.0004319616,0.00001650588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742866,0.0002403367,0.0231558,0.00005148278,0.00002008442,0.00003082556,0.00003319106,0.0000408831,0.002140925],"genre_scores_gemma":[0.9916934,0.00009098492,0.006983299,0.000007538805,0.000003800215,0.00001345752,0.00003005061,0.000007717479,0.001169703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005298079,"threshold_uncertainty_score":0.01053447,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981693566","doi":"10.3390/computation2040182","title":"Incongruencies in Vaccinia Virus Phylogenetic Trees","year":2014,"lang":"en","type":"article","venue":"Computation","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge; University of Victoria","funders":"University of Victoria","keywords":"Cowpox virus; Cowpox; Biology; Phylogenetic tree; Genome; Orthopoxvirus; Clade; Vaccinia; Modified vaccinia Ankara; Poxviridae; Virology; Ectromelia virus; Genetics; Evolutionary biology; Gene","authors":[{"name":"Chad Smithson","is_ca":true},{"name":"Samantha Kampman","is_ca":true},{"name":"Benjamin M. Hetman","is_ca":true},{"name":"Chris Upton","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01499583527062454,"gpt":0.2683748898216397,"spread":0.2533790545510152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006532389,0.0003795805,0.001053399,0.006472934,0.002519071,0.004058243,0.0008908322,0.0008741561,0.002241617],"category_scores_gemma":[0.03537482,0.000609415,0.0006793358,0.003704543,0.001648863,0.001908297,0.00178363,0.001163305,0.0004935281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008672667,"about_ca_system_score_gemma":0.0006545263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005513198,"about_ca_topic_score_gemma":0.0009594799,"domain_scores_codex":[0.9952542,0.002216751,0.0003506536,0.0009841553,0.0008009986,0.0003933191],"domain_scores_gemma":[0.9846622,0.01129627,0.001305544,0.0009899305,0.001050572,0.0006955698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003618729,0.0002792081,0.5399085,0.001985165,0.001695333,0.004344107,0.02146317,0.07829578,0.05240718,0.1338613,0.01010745,0.1520342],"study_design_scores_gemma":[0.0002439014,0.000370628,0.2944662,0.000584616,0.0005365659,0.003470542,0.006867405,0.2875715,0.006348268,0.359473,0.03980778,0.0002594868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585387,0.002479275,0.02887736,0.0004910748,0.0001248925,0.00007715276,0.001618527,0.0002501209,0.007542927],"genre_scores_gemma":[0.9847697,0.0003751489,0.01170214,0.00008825296,0.00007661979,0.00005271051,0.002590028,0.00008186917,0.0002634118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006532389,"threshold_uncertainty_score":0.03454697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3015604588","doi":"10.3390/computation8020023","title":"Investigation of the Horizontal Motion of Particle-Laden Jets","year":2020,"lang":"en","type":"article","venue":"Computation","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University; Université de Sherbrooke","funders":"Compute Canada","keywords":"Reynolds number; Mechanics; Physics; Stokes number; Jet (fluid); Classical mechanics; Large eddy simulation; Scalar (mathematics); Eulerian path; Turbulence; Lagrangian; Mathematics; Geometry","authors":[{"name":"Tooran Tavangar","is_ca":true},{"name":"Hesam Tofighian","is_ca":false},{"name":"Ali Tarokh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0295261989629676,"gpt":0.2130690952048322,"spread":0.1835428962418646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001483999,0.0002917731,0.0002772052,0.0003142938,0.000359025,0.000606408,0.0002711745,0.0004887282,0.0008195985],"category_scores_gemma":[0.0003367592,0.000126615,0.0002801682,0.0002059815,0.0005127912,0.0003377321,0.0003594302,0.0002328371,0.00008605422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029861,"about_ca_system_score_gemma":0.0003898424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002863911,"about_ca_topic_score_gemma":0.0009609016,"domain_scores_codex":[0.9999332,0.00001208871,0.000003410845,0.00001205926,0.00002044244,0.00001877695],"domain_scores_gemma":[0.9998949,0.00003544395,0.00002835364,0.000009910434,0.00001315583,0.00001832742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001611744,0.000184697,0.009258613,0.0000804307,0.00004516033,0.0007775367,0.0001713861,0.9180835,0.05387602,0.007978454,0.0002983806,0.009084619],"study_design_scores_gemma":[0.00001343224,0.00005460507,0.001798383,0.000003039718,0.000004115375,0.00002384684,0.00003097007,0.9949346,0.002581333,0.0003046268,0.0002454009,0.000005577625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620063,0.0002737642,0.0319574,0.000113346,0.00003922388,0.0000381709,0.00007511219,0.0001057099,0.005390941],"genre_scores_gemma":[0.9963581,0.00009851519,0.002708373,0.00001484942,0.000005897426,0.000009941079,0.00004763225,0.000008100497,0.0007485577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002863911,"threshold_uncertainty_score":0.005694449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1883057026","doi":"10.3390/computation3040528","title":"A Scale Invariant Distribution of the Prime Numbers","year":2015,"lang":"en","type":"article","venue":"Computation","topic":"Analytic Number Theory Research","field":"Mathematics","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics; Scale invariance; Statistics","authors":[{"name":"Wayne S. Kendal","is_ca":true},{"name":"Bent Jørgensen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08551888954504726,"gpt":0.3566824418277851,"spread":0.2711635522827379,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009959599,0.0002774632,0.0004760832,0.001254304,0.0007315794,0.001644669,0.001041774,0.0006650955,0.002973486],"category_scores_gemma":[0.01267037,0.0003096685,0.0004907056,0.0009027894,0.002640391,0.003099435,0.000745012,0.001550138,0.0004213545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160696,"about_ca_system_score_gemma":0.0006780438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285838,"about_ca_topic_score_gemma":0.0006230394,"domain_scores_codex":[0.9994642,0.0001017573,0.00001281397,0.0001401789,0.0002154094,0.00006552632],"domain_scores_gemma":[0.9968912,0.001831626,0.0004128142,0.0005175085,0.0002241004,0.0001227514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008213452,0.00002421609,0.003578835,0.00005127618,0.00001880009,0.0002916118,0.0001784782,0.1411034,0.005467422,0.8350646,0.001590426,0.01254892],"study_design_scores_gemma":[0.00001228943,0.00003560837,0.001638326,0.0000126891,0.000006890454,0.0002448025,0.00004479787,0.6088126,0.00185595,0.385507,0.001797368,0.00003175663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4493175,0.0006683927,0.5302109,0.001266311,0.0001537135,0.00003604833,0.0002362089,0.0004655621,0.01764539],"genre_scores_gemma":[0.9779862,0.0002764297,0.01897094,0.0001016338,0.00009882768,0.00002563755,0.0001033686,0.00006536111,0.0023716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002973486,"threshold_uncertainty_score":0.00994736,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409097243","doi":"10.3390/computation13040088","title":"MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Medical imaging; Artificial intelligence; Psychology","authors":[{"name":"Anubhav Gupta","is_ca":true},{"name":"Islam Osman","is_ca":true},{"name":"Mohamed Shehata","is_ca":true},{"name":"W. John Braun","is_ca":true},{"name":"Rebecca Feldman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007432130035135333,"gpt":0.323136234175331,"spread":0.3157041041401957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001905541,0.001582579,0.001258516,0.00117396,0.0005864576,0.0008151919,0.002929963,0.002302911,0.005154547],"category_scores_gemma":[0.003701613,0.0008869485,0.001185011,0.0007366675,0.0007080063,0.002064624,0.002116763,0.002655157,0.00362449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008277596,"about_ca_system_score_gemma":0.001482203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893263,"about_ca_topic_score_gemma":0.006467925,"domain_scores_codex":[0.9994616,0.0001099803,0.00002291816,0.0002046631,0.0001269291,0.00007405779],"domain_scores_gemma":[0.9989048,0.0003169182,0.0000856898,0.0003026963,0.0002809754,0.0001087775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009540968,0.001032614,0.003701484,0.0002931975,0.0003767642,0.0001893467,0.0001116124,0.3316741,0.01453619,0.005201074,0.0572585,0.584671],"study_design_scores_gemma":[0.00004312403,0.0001185657,0.0003699269,0.00001644564,0.00001489046,0.00005901544,0.00001081509,0.9872791,0.005172485,0.00393368,0.002967769,0.00001425862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05022203,0.001215561,0.9073817,0.0009116195,0.0004233184,0.0005435672,0.00223947,0.03102736,0.006035432],"genre_scores_gemma":[0.3416172,0.0005877176,0.6288087,0.001439922,0.0002291654,0.0009516024,0.01114121,0.001337006,0.01388754],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005154547,"threshold_uncertainty_score":0.01724368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389548431","doi":"10.3390/computation11120253","title":"Mathematical Model for Chemical Reactions in Electrolytes Applied to Cytochrome c Oxidase: An Electro-Osmotic Approach","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; American Institute of Mathematics","keywords":"Dissipative system; Chemical energy; Cytochrome c oxidase; Chemistry; Electron transport chain; Electrolyte; Chemical physics; Physics; Thermodynamics; Statistical physics; Mitochondrion; Physical chemistry; Electrode","authors":[{"name":"Shixin Xu","is_ca":false},{"name":"Bob Eisenberg","is_ca":false},{"name":"Zilong Song","is_ca":false},{"name":"Huaxiong Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1031795933881526,"gpt":0.372055571916216,"spread":0.2688759785280633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004706642,0.0007876322,0.0007113066,0.000806036,0.0007329708,0.001226314,0.001995229,0.00174424,0.00259696],"category_scores_gemma":[0.001010072,0.0003549095,0.001158399,0.0006647561,0.001449367,0.002022593,0.001369532,0.001490293,0.0008755361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332913,"about_ca_system_score_gemma":0.001180392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002789546,"about_ca_topic_score_gemma":0.001836337,"domain_scores_codex":[0.9997274,0.00006338977,0.00001716988,0.00005516155,0.0001078246,0.00002898521],"domain_scores_gemma":[0.9997438,0.00009847811,0.00005106804,0.00002188848,0.00005885423,0.0000259778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001219212,0.00003251162,0.0001872642,0.00008991345,0.00001861557,0.000175311,0.0001011831,0.1881836,0.006216119,0.7995956,0.001357608,0.004030085],"study_design_scores_gemma":[0.00001528783,0.00002856399,0.0001347509,0.0000188198,0.00001244798,0.0001343989,0.000024873,0.8162821,0.0006632715,0.1737057,0.008956613,0.00002318837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01707348,0.002641671,0.9451717,0.00279948,0.0004636399,0.00008583639,0.0002631056,0.0001355103,0.03136561],"genre_scores_gemma":[0.7275179,0.006430316,0.1964684,0.001874026,0.0009207616,0.0008400249,0.0003811415,0.0002756219,0.0652918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002789546,"threshold_uncertainty_score":0.009670973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399732046","doi":"10.3390/computation12060126","title":"Residential Sizing of Solar Photovoltaic Systems and Heat Pumps for Net Zero Sustainable Thermal Building Energy","year":2024,"lang":"en","type":"article","venue":"Computation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Zero-energy building; Photovoltaic system; Sizing; Photovoltaic thermal hybrid solar collector; Zero (linguistics); Thermal; Environmental science; Solar energy; Sustainable energy; Solar air conditioning; Renewable energy; Architectural engineering; Materials science; Engineering physics; Engineering; Electrical engineering; Physics; Meteorology; Chemistry","authors":[{"name":"Shafquat Rana","is_ca":true},{"name":"Uzair Jamil","is_ca":true},{"name":"Nima Asgari","is_ca":true},{"name":"Koami Soulemane Hayibo","is_ca":true},{"name":"Julia Groza","is_ca":true},{"name":"Joshua M. Pearce","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006652108843468262,"gpt":0.2132653472692616,"spread":0.2066132384257934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001822611,0.0004251751,0.0004041132,0.0001817328,0.0002411905,0.0006059665,0.0006291539,0.0003285977,0.004571867],"category_scores_gemma":[0.0005405562,0.0003546513,0.0005432547,0.000263405,0.0001859006,0.0007308717,0.0003829408,0.000376698,0.0004733293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005223993,"about_ca_system_score_gemma":0.0007922616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005134881,"about_ca_topic_score_gemma":0.008563511,"domain_scores_codex":[0.9998931,0.00003085006,0.000004075789,0.00001802257,0.00003886369,0.00001515428],"domain_scores_gemma":[0.9999008,0.00004209865,0.00001298732,0.00001723706,0.00001918508,0.000007695948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000178831,0.00001588753,0.0005566754,0.00001968601,0.000009290886,0.00002081189,0.00001426287,0.9885699,0.001395271,0.001752009,0.0002980127,0.007330243],"study_design_scores_gemma":[0.000003476656,0.000008624449,0.000202238,0.000001704113,0.000003339965,0.000007379732,0.00000543933,0.9976389,0.0007642115,0.0008244103,0.0005381937,0.000001970557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.267768,0.0001596081,0.6931319,0.0001882267,0.0000745874,0.0001162907,0.00057063,0.001449184,0.03654158],"genre_scores_gemma":[0.9563995,0.00006861057,0.0386528,0.00003027135,0.000007606243,0.00005933923,0.0001771029,0.0001554631,0.00444935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005134881,"threshold_uncertainty_score":0.01529437,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200526146","doi":"10.3390/computation9120130","title":"Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway","year":2021,"lang":"en","type":"article","venue":"Computation","topic":"Diabetic Foot Ulcer Assessment and Management","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial intelligence; Ground truth; Computer vision; Event (particle physics); Motion analysis; Ceiling (cloud); Motion (physics); Gait analysis; Gait; Physical medicine and rehabilitation","authors":[{"name":"Connor McGuirk","is_ca":true},{"name":"Natalie Baddour","is_ca":true},{"name":"Edward D. Lemaire","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02889222284864888,"gpt":0.3022875014853549,"spread":0.273395278636706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002754921,0.0003856602,0.000310495,0.0004353611,0.0001752005,0.0004359162,0.0006910316,0.0004386726,0.002218409],"category_scores_gemma":[0.0006342726,0.0002151697,0.0004192177,0.0004273124,0.0001931732,0.0003542771,0.0004826634,0.0004675472,0.0003472683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005919362,"about_ca_system_score_gemma":0.0005588261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196091,"about_ca_topic_score_gemma":0.01977134,"domain_scores_codex":[0.999859,0.00003129975,0.000005837029,0.00004863182,0.00003152746,0.00002362656],"domain_scores_gemma":[0.999885,0.00004512317,0.00001194064,0.0000138717,0.00002951347,0.00001451433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003847456,0.0002577143,0.005024381,0.00008180722,0.00008438764,0.0002209834,0.0001235748,0.5945942,0.02150262,0.001913093,0.002919387,0.3728931],"study_design_scores_gemma":[0.000006213721,0.00003880111,0.000989599,0.000003400691,0.000004344666,0.00001525416,0.00001521207,0.9966258,0.001415136,0.0004329153,0.0004488157,0.000004529546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1220686,0.000143063,0.874058,0.0001896982,0.00004700153,0.00009569858,0.0003283793,0.0015344,0.001535235],"genre_scores_gemma":[0.785773,0.0001309085,0.2103497,0.0001072079,0.00002145153,0.0001445098,0.0005118579,0.00007785643,0.002883463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01196091,"threshold_uncertainty_score":0.02378255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4383266000","doi":"10.3390/computation11070130","title":"Applications of Modified Bessel Polynomials to Solve a Nonlinear Chaotic Fractional-Order System in the Financial Market: Domain-Splitting Collocation Techniques","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Fractional Differential Equations Solutions","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Collocation (remote sensing); Mathematics; Nonlinear system; Chaotic; Matrix (chemical analysis); Applied mathematics; Domain (mathematical analysis); Computer science; Mathematical analysis","authors":[{"name":"Mohammad Izadi","is_ca":false},{"name":"H. M. Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03939757848591537,"gpt":0.3344846849973583,"spread":0.2950871065114429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003453561,0.0004898566,0.0004397993,0.0003014015,0.0003038594,0.0003620918,0.0004020684,0.0007052709,0.00073971],"category_scores_gemma":[0.0007336554,0.0001751213,0.0003902506,0.0002856535,0.0005180069,0.0003622304,0.0006374217,0.0005319121,0.0001233863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002727994,"about_ca_system_score_gemma":0.000488149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00294624,"about_ca_topic_score_gemma":0.002115682,"domain_scores_codex":[0.9998759,0.00004907376,0.000006620126,0.00001274463,0.00004049703,0.00001501884],"domain_scores_gemma":[0.9998119,0.0000874956,0.00002381497,0.00002110755,0.00004292994,0.00001277873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000638114,0.0000385001,0.0006853313,0.000103755,0.00002496325,0.000194906,0.0001789258,0.9096934,0.01721294,0.0341782,0.0004936058,0.0371316],"study_design_scores_gemma":[0.00000344955,0.0000113576,0.00003413206,0.000001941577,0.00000132179,0.00001061231,0.000007449898,0.997729,0.000673955,0.001220826,0.0003035943,0.000002327489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05015842,0.0003312317,0.9463763,0.0002109148,0.00006134751,0.00003183808,0.00001534895,0.00007479143,0.002739842],"genre_scores_gemma":[0.6974019,0.0005091124,0.2996229,0.00006434117,0.00004132564,0.00008705734,0.00002506749,0.00003211499,0.00221621],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00294624,"threshold_uncertainty_score":0.005858183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411000210","doi":"10.3390/computation13060136","title":"Smoothing Techniques for Improving COVID-19 Time Series Forecasting Across Countries","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"National Research Foundation of Ukraine","keywords":"Coronavirus disease 2019 (COVID-19); Series (stratigraphy); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Time series; Exponential smoothing; Smoothing; Econometrics; Computer science; Virology; Mathematics; Statistics; Machine learning; Medicine; Geology; Outbreak; Infectious disease (medical specialty)","authors":[{"name":"Uliana Zbezhkhovska","is_ca":false},{"name":"Dmytro Chumachenko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1902233639491209,"gpt":0.4584235353171161,"spread":0.2682001713679952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00492036,0.0006357363,0.0006893214,0.00168408,0.0003820708,0.001025914,0.0007042197,0.0005102759,0.001145395],"category_scores_gemma":[0.01580779,0.0003424016,0.0007455396,0.001562156,0.0002972341,0.001506699,0.0009853401,0.000950514,0.0003154318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005287502,"about_ca_system_score_gemma":0.001005118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135107,"about_ca_topic_score_gemma":0.01085734,"domain_scores_codex":[0.999337,0.0002936265,0.00007620164,0.0001368986,0.00009912129,0.00005704153],"domain_scores_gemma":[0.9972379,0.001693049,0.0003471489,0.0002776005,0.0003712052,0.00007302518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002482921,0.00008033434,0.04954993,0.0002281052,0.0003755915,0.0001562031,0.0005378494,0.6220725,0.003316281,0.01132608,0.002966778,0.3091421],"study_design_scores_gemma":[0.00001481262,0.0000647621,0.009883945,0.0000547545,0.00004705499,0.00003102167,0.0001344048,0.9783646,0.001349586,0.008235913,0.001795522,0.00002358744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2565004,0.001743914,0.7354552,0.001539472,0.0002135154,0.00008034631,0.0005227758,0.001596557,0.002347808],"genre_scores_gemma":[0.875032,0.0007241761,0.1225275,0.0001030923,0.00007121873,0.00007136804,0.0007195706,0.00009579772,0.0006552567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01135107,"threshold_uncertainty_score":0.02602166,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3180057944","doi":"10.3390/computation9070078","title":"Wavelet Power Spectral Domain Functional Principal Component Analysis for Feature Extraction of Epileptic EEGs","year":2021,"lang":"en","type":"article","venue":"Computation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pattern recognition (psychology); Feature extraction; Principal component analysis; Computer science; Artificial intelligence; Wavelet; Wavelet transform; Ictal; Feature (linguistics); Electroencephalography","authors":[{"name":"Shengkun Xie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03187127253675393,"gpt":0.2934080696122023,"spread":0.2615367970754484,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006059533,0.0009910379,0.0005292529,0.001867687,0.0002573718,0.0004931561,0.0003294811,0.0003369931,0.002047129],"category_scores_gemma":[0.002211882,0.0001761039,0.000915808,0.002543664,0.0002442817,0.0006900046,0.000353804,0.0006345602,0.00103799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763457,"about_ca_system_score_gemma":0.0004988674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507409,"about_ca_topic_score_gemma":0.001358326,"domain_scores_codex":[0.9996884,0.00007862576,0.00002493495,0.00005411713,0.0001264422,0.00002751159],"domain_scores_gemma":[0.9996207,0.0001298732,0.00003601737,0.00005690057,0.0001443126,0.00001220818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002848653,0.000173329,0.002243745,0.0004808877,0.0001832756,0.000353646,0.0001428092,0.06680714,0.1215366,0.009433057,0.005073614,0.7932871],"study_design_scores_gemma":[0.00002156533,0.0001311695,0.009815243,0.00004537293,0.0001005265,0.0003523674,0.00008155413,0.9373478,0.03550563,0.007630357,0.008912589,0.00005580029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02427239,0.0005620411,0.9724895,0.000114452,0.00006106787,0.00007836649,0.0004008981,0.0008674384,0.001153823],"genre_scores_gemma":[0.3673148,0.001652314,0.6263469,0.00005577494,0.00009552325,0.0002862265,0.001870236,0.0002905147,0.002087617],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002047129,"threshold_uncertainty_score":0.006848276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408441646","doi":"10.3390/computation13030076","title":"Evaluating Predictive Models for Three Green Finance Markets: Insights from Statistical vs. Machine Learning Approaches","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Exponential smoothing; Random forest; Econometrics; Decision tree; Leverage (statistics); Computer science; Gradient boosting; Linear regression; Autoregressive integrated moving average; Univariate; Machine learning; Artificial intelligence; Economics; Time series","authors":[{"name":"Sonia Benghiat","is_ca":true},{"name":"Salim Lahmiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2858530263906696,"gpt":0.4249391600912907,"spread":0.1390861337006211,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008503387,0.001343433,0.001338548,0.002182814,0.0004651321,0.001832212,0.001079456,0.001611789,0.001035477],"category_scores_gemma":[0.01592532,0.000334554,0.001228681,0.001358624,0.0005220546,0.001688513,0.0007281181,0.001551872,0.0001796711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744855,"about_ca_system_score_gemma":0.001385346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973627,"about_ca_topic_score_gemma":0.01081996,"domain_scores_codex":[0.9987003,0.0007173729,0.00008885833,0.0001760959,0.0002157873,0.0001015558],"domain_scores_gemma":[0.9840695,0.01400073,0.0007669361,0.0002650289,0.000713273,0.0001844919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006066467,0.00005977361,0.004853115,0.00002902977,0.0000520746,0.00002863487,0.00001890668,0.9845948,0.0001058305,0.001688006,0.0002353991,0.008273651],"study_design_scores_gemma":[0.000003339018,0.00001503631,0.0005606905,0.00000314062,0.000004692247,0.000002777505,0.000008503265,0.9984249,0.00005999779,0.0008821177,0.00003187601,0.00000294852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8316512,0.001592574,0.1602818,0.001675354,0.00007353047,0.0001151497,0.0009675003,0.0003886684,0.00325418],"genre_scores_gemma":[0.9806327,0.0003482066,0.01785865,0.00008462962,0.00005189364,0.00006359215,0.0005508385,0.00001886925,0.0003905816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973627,"threshold_uncertainty_score":0.04497075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4383876878","doi":"10.3390/computation11070139","title":"Incremental Learning-Based Algorithm for Anomaly Detection Using Computed Tomography Data","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Anomaly detection; Thresholding; Computer science; Artificial intelligence; Anomaly (physics); Data mining; Machine learning; Pattern recognition (psychology); Algorithm; Image (mathematics)","authors":[{"name":"Hossam A. Gabbar","is_ca":true},{"name":"Oluwabukola Grace Adegboro","is_ca":true},{"name":"Abderrazak Chahid","is_ca":true},{"name":"Jing Ren","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05954382673452217,"gpt":0.322149443803756,"spread":0.2626056170692339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011383,0.0009872124,0.001344283,0.0011227,0.0003999502,0.0008303884,0.002885051,0.001267216,0.001438102],"category_scores_gemma":[0.003858337,0.0004402736,0.0007980673,0.0009704373,0.0005963387,0.001175278,0.001033783,0.002091594,0.0006852154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008473344,"about_ca_system_score_gemma":0.001237211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006057757,"about_ca_topic_score_gemma":0.005456748,"domain_scores_codex":[0.9994747,0.00008180768,0.0000409619,0.0001822896,0.000138753,0.00008137194],"domain_scores_gemma":[0.9984804,0.0007700988,0.00014713,0.000135896,0.0004005287,0.00006603385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003629526,0.0003107536,0.004317548,0.0001108635,0.000108361,0.000175323,0.0001177938,0.3141909,0.008002054,0.003536309,0.003685334,0.6650819],"study_design_scores_gemma":[0.000006342961,0.00002862667,0.0001722154,0.000003165858,0.000005684091,0.00002504117,0.000004777559,0.9971275,0.00127479,0.00112809,0.0002197752,0.000003911748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03554139,0.0003987708,0.9604618,0.0002603788,0.00007686456,0.00006891067,0.0000854808,0.002324362,0.0007820193],"genre_scores_gemma":[0.6308359,0.0002778811,0.3643664,0.0003440161,0.0001237649,0.0002553377,0.0007597183,0.0001930761,0.002843917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006057757,"threshold_uncertainty_score":0.01204503,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3187384038","doi":"10.3390/computation9080085","title":"Response of Viscoelastic Turbulent Pipeflow Past Square Bar Roughness: The Effect on Mean Flow","year":2021,"lang":"en","type":"article","venue":"Computation","topic":"Rheology and Fluid Dynamics Studies","field":"Chemical Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; Alberta Innovates","keywords":"Viscoelasticity; Newtonian fluid; Materials science; Bar (unit); Drag; Rheology; Mechanics; Surface roughness; Turbulence; Surface finish; Deborah number; Reynolds number; Non-Newtonian fluid; Flow (mathematics); Composite material; Physics; Meteorology","authors":[{"name":"Shubham Goswami","is_ca":true},{"name":"Arman Hemmati","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00734756717109976,"gpt":0.2340862188075011,"spread":0.2267386516364013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001736426,0.000228278,0.0002881462,0.000164018,0.0001463371,0.0003511459,0.0001892967,0.0003595272,0.0005617994],"category_scores_gemma":[0.0008401333,0.0001431306,0.0002391978,0.0001499773,0.0002593164,0.0002826222,0.0001631606,0.0002632448,0.00007527627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001932639,"about_ca_system_score_gemma":0.0001853284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122978,"about_ca_topic_score_gemma":0.0004925717,"domain_scores_codex":[0.9999233,0.000009728892,0.000005421269,0.0000168523,0.00002106037,0.00002364925],"domain_scores_gemma":[0.9997345,0.00013404,0.00004320162,0.00001935113,0.00004036157,0.00002860781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007056268,0.0001584813,0.005368243,0.0001321277,0.00003150931,0.0002677255,0.0001283491,0.1660737,0.8201973,0.0003507604,0.0001058764,0.006480166],"study_design_scores_gemma":[0.00005424268,0.0009241279,0.01322414,0.00001026613,0.00002402944,0.00007255385,0.00008117064,0.6856617,0.2993464,0.0001241403,0.0004394849,0.00003768297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982844,0.00004615163,0.001373778,0.00001536815,0.000005593939,0.00000617823,0.0000276689,0.00003724386,0.00020367],"genre_scores_gemma":[0.9989206,0.00003720545,0.0008698878,0.00000551435,0.000001124562,0.000004038438,0.0000276879,0.000004448365,0.0001295163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001122978,"threshold_uncertainty_score":0.00223285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210681648","doi":"10.3390/computation10020022","title":"Length-Gauge Optical Matrix Elements in WIEN2k","year":2022,"lang":"en","type":"article","venue":"Computation","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"WIEN2k; Gauge (firearms); Matrix (chemical analysis); Physics; Materials science; Composite material; Metallurgy; Quantum mechanics","authors":[{"name":"Oleg Rubel","is_ca":true},{"name":"Peter Blaha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01555327339414089,"gpt":0.2866456441480807,"spread":0.2710923707539398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009478258,0.0007589423,0.0009556668,0.0008106646,0.0007602865,0.001047435,0.001638856,0.0007891806,0.01077867],"category_scores_gemma":[0.002571806,0.0004874685,0.000686139,0.001194051,0.0005927453,0.00177459,0.001128189,0.001047093,0.002530116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008967795,"about_ca_system_score_gemma":0.001087631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573503,"about_ca_topic_score_gemma":0.004367699,"domain_scores_codex":[0.9995584,0.0001423141,0.00002589999,0.00003605104,0.0001811942,0.0000561692],"domain_scores_gemma":[0.9991209,0.0003706405,0.00005483565,0.0002187464,0.0001913611,0.00004355254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000718698,0.0004173958,0.002868801,0.001131661,0.0001725028,0.0007777808,0.0006090574,0.5449753,0.02637762,0.3155058,0.01818198,0.08826333],"study_design_scores_gemma":[0.0001348625,0.00007187887,0.0007779408,0.00007863752,0.00002548953,0.0001196802,0.00008568614,0.8831125,0.01547417,0.08005507,0.01999898,0.00006510346],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3739556,0.0005696642,0.5590231,0.0005764518,0.0002611674,0.000376695,0.006731713,0.008442566,0.05006302],"genre_scores_gemma":[0.5087153,0.0002842615,0.4717266,0.0002627187,0.00004145638,0.001324146,0.005128303,0.004077545,0.008439719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01077867,"threshold_uncertainty_score":0.03605825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402225817","doi":"10.3390/computation12090180","title":"Optimized Calculation of Radial and Axial Magnetic Forces between Two Non-Coaxial Coils of Rectangular Cross-Section with Parallel Axes","year":2024,"lang":"en","type":"article","venue":"Computation","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Coaxial; Cross section (physics); Section (typography); Physics; Geometry; Engineering; Mathematics; Computer science; Mechanical engineering","authors":[{"name":"Slobodan Babić","is_ca":false},{"name":"Eray Güven","is_ca":true},{"name":"Kaihong Song","is_ca":false},{"name":"Yao Luo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00885068095962719,"gpt":0.2469408300609223,"spread":0.2380901491012951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002625708,0.0003936656,0.0004351247,0.0003145324,0.0002619532,0.0003941679,0.0006808048,0.0004514475,0.002597374],"category_scores_gemma":[0.0007608453,0.0002100911,0.0002395964,0.0002701519,0.0002466151,0.0005140944,0.0002956618,0.0002882231,0.0005234333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003710766,"about_ca_system_score_gemma":0.0007395644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013097,"about_ca_topic_score_gemma":0.002553497,"domain_scores_codex":[0.9998683,0.00002080612,0.000007697106,0.00001916617,0.00006881588,0.00001520182],"domain_scores_gemma":[0.9997744,0.00009468976,0.00003226896,0.0000278066,0.00006068443,0.00001010305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001389452,0.000072972,0.001622821,0.0002769026,0.00005055389,0.0002527944,0.0002135181,0.7353193,0.03827503,0.04011234,0.002476503,0.1811884],"study_design_scores_gemma":[0.000017006,0.00003456355,0.0004494848,0.000008884022,0.000008015306,0.00006745366,0.00002276907,0.9864183,0.007416404,0.002391492,0.003158442,0.000007122722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02044359,0.00009240641,0.9752806,0.00003079757,0.00002277359,0.00003285392,0.00002897825,0.0002630747,0.003805],"genre_scores_gemma":[0.2913267,0.0001342294,0.7048101,0.00002738552,0.00001553836,0.000125212,0.00009386302,0.0002150938,0.00325184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002597374,"threshold_uncertainty_score":0.008689046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407157560","doi":"10.3390/computation13020039","title":"Developing a Dataset of Audio Features to Classify Emotions in Speech","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Speech recognition; Computer science; Natural language processing","authors":[{"name":"Alvaro A. Colunga-Rodriguez","is_ca":false},{"name":"Alicia Martínez","is_ca":false},{"name":"Hugo Estrada","is_ca":false},{"name":"Eddie Clemente","is_ca":false},{"name":"Odette Alejandra Pliego-Martínez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06316271446095686,"gpt":0.4020690174555634,"spread":0.3389063029946066,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006797473,0.0008802757,0.0005548325,0.001520331,0.0004673996,0.0007211764,0.0009514572,0.001071326,0.002483368],"category_scores_gemma":[0.002120867,0.0001679294,0.0009003172,0.0008816377,0.0002351789,0.0004817204,0.0009095373,0.0007529089,0.002546408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004810028,"about_ca_system_score_gemma":0.0006751248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004235343,"about_ca_topic_score_gemma":0.005711848,"domain_scores_codex":[0.9992685,0.00009189796,0.00009499161,0.0001947975,0.000262186,0.00008765152],"domain_scores_gemma":[0.9991319,0.0001910769,0.00006762172,0.0001417457,0.000398414,0.00006928152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001228698,0.002448875,0.03771932,0.001324824,0.000339791,0.001193353,0.0005814431,0.02750503,0.15416,0.001672672,0.06392078,0.7079052],"study_design_scores_gemma":[0.0004742238,0.003420023,0.3846186,0.000349458,0.0003462604,0.003111398,0.001690134,0.2623776,0.1830801,0.003251046,0.1569178,0.0003633345],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7049001,0.001071504,0.1190803,0.0004636382,0.0006932677,0.002586018,0.1517263,0.006658087,0.01282073],"genre_scores_gemma":[0.4599359,0.0004480681,0.15897,0.000170316,0.0001806556,0.003212309,0.36822,0.0002021166,0.008660573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004235343,"threshold_uncertainty_score":0.008421421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3096521189","doi":"10.3390/computation8040094","title":"Spatial and Temporal Validation of a CFD Model Using Residence Time Distribution Test in a Tubular Reactor","year":2020,"lang":"en","type":"article","venue":"Computation","topic":"Process Optimization and Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computational fluid dynamics; Residence time distribution; TRACER; Fluent; Sampling (signal processing); Discretization; Computer science; Simulation; Mechanics; Flow (mathematics); Mathematics; Physics","authors":[{"name":"José Rivas","is_ca":false},{"name":"M. Constanza Sadino‐Riquelme","is_ca":true},{"name":"Ignacio Garcés","is_ca":false},{"name":"Andrea Carvajal","is_ca":false},{"name":"Andrés Donoso‐Bravo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0229695072060471,"gpt":0.2409236839462736,"spread":0.2179541767402265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001121613,0.0004676301,0.0007205898,0.0004276488,0.000423129,0.0007242578,0.0007423462,0.001129589,0.0007783912],"category_scores_gemma":[0.001996791,0.0002008877,0.000819559,0.0004830226,0.0005060997,0.0004167646,0.0004939804,0.000582499,0.0002213664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000722152,"about_ca_system_score_gemma":0.001070304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009058559,"about_ca_topic_score_gemma":0.002811172,"domain_scores_codex":[0.9994735,0.0001062849,0.00005485993,0.0001316226,0.0001678494,0.00006586563],"domain_scores_gemma":[0.9988173,0.0006033429,0.0001175275,0.0001129248,0.000310683,0.00003824257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005123416,0.0002585724,0.008520561,0.0002829709,0.00002879821,0.0005010372,0.0002777381,0.7001856,0.2680977,0.001576161,0.0003516604,0.01940685],"study_design_scores_gemma":[0.00002284062,0.0002831974,0.001807803,0.00001333748,0.00001404788,0.00007140488,0.00006053677,0.8669129,0.1296109,0.00017598,0.0009893158,0.00003784958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8307748,0.0004830591,0.1654793,0.0001632552,0.00008390986,0.00007721061,0.0005028258,0.0007113549,0.001724431],"genre_scores_gemma":[0.9742527,0.0002275826,0.02432898,0.00001910736,0.000005738233,0.00008185187,0.0002064338,0.00003501968,0.0008426975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009058559,"threshold_uncertainty_score":0.01801169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4288447045","doi":"10.3390/computation10080130","title":"Understanding Clinical Reasoning through Visual Scanpath and Brain Activity Analysis","year":2022,"lang":"en","type":"article","venue":"Computation","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Eye tracking; Gaze; Computer science; Electroencephalography; Workload; Cognition; Amnesia; Task (project management); Protocol (science); Artificial intelligence; Psychology; Human–computer interaction; Cognitive psychology; Medicine","authors":[{"name":"Imène Jraidi","is_ca":true},{"name":"Maher Chaouachi","is_ca":true},{"name":"Asma Ben Khedher","is_ca":true},{"name":"Susanne P. Lajoie","is_ca":true},{"name":"Claude Frasson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1591775568114108,"gpt":0.4463586139885724,"spread":0.2871810571771616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041035,0.0003146989,0.0001767711,0.0005488971,0.0001616808,0.0008178662,0.0003397916,0.0005226805,0.001794572],"category_scores_gemma":[0.008934538,0.0001488565,0.0001349721,0.000195126,0.0004333738,0.001088835,0.0004948289,0.0004158449,0.0002127733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149778,"about_ca_system_score_gemma":0.0002836699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005950298,"about_ca_topic_score_gemma":0.0008936678,"domain_scores_codex":[0.9993765,0.0002446897,0.00003079915,0.0001537417,0.0001507963,0.00004340449],"domain_scores_gemma":[0.9965997,0.002529173,0.0003923521,0.0001758932,0.0001796874,0.0001231728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001131244,0.002984127,0.1563108,0.0004595932,0.0001265479,0.0005774739,0.03377658,0.004920619,0.4421411,0.00231481,0.0009700071,0.3542871],"study_design_scores_gemma":[0.0003216943,0.009291869,0.6846454,0.0001843507,0.0001688844,0.003130466,0.01865109,0.08751786,0.1681026,0.01718095,0.01057821,0.0002267866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805388,0.00004819185,0.01762919,0.00006707552,0.000003277632,0.00009510088,0.00004042616,0.00005315328,0.00152485],"genre_scores_gemma":[0.9689108,0.0001284523,0.03007307,0.00004226984,0.00000564998,0.00009459298,0.00007027449,0.00001218806,0.0006626922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794572,"threshold_uncertainty_score":0.006003439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313585229","doi":"10.3390/computation11010007","title":"Sparse Reconstruction Using Hyperbolic Tangent as Smooth l1-Norm Approximation","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Sparse and Compressive Sensing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Underdetermined system; Compressed sensing; Norm (philosophy); Mathematics; Mathematical optimization; Optimization problem; Tangent; Minification; Differentiable function; Applied mathematics; Algorithm; Computer science; Mathematical analysis","authors":[{"name":"Hassaan Haider","is_ca":false},{"name":"Jawad Ali Shah","is_ca":false},{"name":"Kushsairy Kadir","is_ca":false},{"name":"Najeeb Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04077800226232844,"gpt":0.2671237807839386,"spread":0.2263457785216102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113864,0.0007177852,0.0006745447,0.0006492142,0.0002702982,0.00101984,0.0008119347,0.0009586032,0.001080252],"category_scores_gemma":[0.003358599,0.0003141024,0.0007723678,0.0008104116,0.0008527677,0.00134264,0.001061663,0.001401306,0.0005367489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005583418,"about_ca_system_score_gemma":0.0009738161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468708,"about_ca_topic_score_gemma":0.001667488,"domain_scores_codex":[0.9994521,0.0001468301,0.00003327551,0.00009887297,0.000230191,0.00003883666],"domain_scores_gemma":[0.999083,0.0004033372,0.0001037883,0.0001093158,0.0002557208,0.00004483892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002818565,0.0001030466,0.00163122,0.000268937,0.00008208419,0.0003036701,0.00032974,0.6805032,0.03836089,0.06482074,0.003766955,0.2095476],"study_design_scores_gemma":[0.000003651799,0.00002542671,0.00008456026,0.000006231821,0.000003759013,0.00004459996,0.00001054867,0.993138,0.002784076,0.003233549,0.0006569692,0.000008569801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007598988,0.0001411485,0.9912406,0.0001211899,0.00001988969,0.00002060072,0.00003029034,0.0002056858,0.0006217306],"genre_scores_gemma":[0.2620255,0.0007855849,0.7319424,0.0001766194,0.00006135223,0.0001085366,0.0003791639,0.0001930284,0.004327728],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002468708,"threshold_uncertainty_score":0.006021798,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2758822683","doi":"10.3390/computation5040042","title":"A Diagonally Updated Limited-Memory Quasi-Newton Method for the Weighted Density Approximation","year":2017,"lang":"en","type":"article","venue":"Computation","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Jacobian matrix and determinant; Diagonal; Nonlinear system; Mathematics; Diagonally dominant matrix; Momentum (technical analysis); Applied mathematics; Mathematical analysis; Physics; Quantum mechanics; Pure mathematics; Geometry","authors":[{"name":"Matthew Chan","is_ca":true},{"name":"Rogelio Cuevas‐Saavedra","is_ca":true},{"name":"Debajit Chakraborty","is_ca":true},{"name":"Paul W. Ayers","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02261308558215091,"gpt":0.3217319036184019,"spread":0.299118818036251,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000542717,0.0004077608,0.0005582463,0.0003630629,0.0004483094,0.0005771363,0.001910031,0.0008344654,0.004670854],"category_scores_gemma":[0.001551161,0.0003892478,0.0003861822,0.0003495452,0.0006080287,0.0008365812,0.0007024127,0.0008566979,0.001285424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491469,"about_ca_system_score_gemma":0.001066141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003927128,"about_ca_topic_score_gemma":0.00589714,"domain_scores_codex":[0.9997324,0.00008499016,0.00001047966,0.00002822855,0.0001267285,0.00001710813],"domain_scores_gemma":[0.9996251,0.0001359806,0.00003341383,0.00005846752,0.0001182686,0.00002882881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001559301,0.0001661783,0.000782135,0.000300814,0.000122239,0.0002168131,0.0001783593,0.6600682,0.02054298,0.137413,0.007211195,0.1728421],"study_design_scores_gemma":[0.00001333044,0.00001261085,0.00005462539,0.000006267926,0.000004116052,0.00001295732,0.000003421561,0.9928346,0.0007754725,0.004401271,0.001873976,0.000007493731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004618684,0.0001226826,0.9928178,0.0001164741,0.00007687016,0.00004590823,0.00004387137,0.0002309757,0.001926746],"genre_scores_gemma":[0.06581243,0.0001821826,0.9277854,0.0001175103,0.00005082292,0.0002378614,0.0001070828,0.0002319232,0.005474758],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004670854,"threshold_uncertainty_score":0.0156256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407641381","doi":"10.3390/computation13020056","title":"Innovative Quantum Encryption Method for RGB Images Based on Bit-Planes and Logistic Maps","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; University of Calgary","funders":"","keywords":"Scrambling; Encryption; RGB color model; Computer science; Algorithm; Robustness (evolution); Computer vision; Bit plane; Color image; Logistic map; Theoretical computer science; Artificial intelligence; Mathematics; Image (mathematics); Image processing; Computer security","authors":[{"name":"Saeed Basiri","is_ca":false},{"name":"Laleh Farhang Matin","is_ca":false},{"name":"Mosayeb Naseri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03068650885903643,"gpt":0.3414913862802578,"spread":0.3108048774212214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001993146,0.0002493618,0.0002583547,0.0003611061,0.0002783331,0.000410873,0.0004694636,0.0003367749,0.001905502],"category_scores_gemma":[0.0005494624,0.0001403966,0.0003247478,0.0003810301,0.0004164957,0.001214179,0.0005191935,0.0005228511,0.0004366052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761945,"about_ca_system_score_gemma":0.0003011568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002714723,"about_ca_topic_score_gemma":0.0002366114,"domain_scores_codex":[0.9997603,0.00004445752,0.00001418589,0.00003116094,0.0001236765,0.00002621516],"domain_scores_gemma":[0.999822,0.00004534944,0.00002779441,0.00004413514,0.00004924415,0.0000115563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003574752,0.0001036672,0.001276709,0.0005703678,0.00007595938,0.0006364115,0.0004115068,0.03147754,0.4345705,0.2562338,0.003683505,0.2706027],"study_design_scores_gemma":[0.00008517007,0.0003001686,0.001189696,0.00005041725,0.00005419189,0.002272568,0.0001230547,0.6277474,0.3084874,0.02861869,0.03094729,0.0001239352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06799451,0.001015472,0.9180375,0.0004182558,0.0001630097,0.0001174499,0.00007940739,0.0003860885,0.01178821],"genre_scores_gemma":[0.6715577,0.00081173,0.321202,0.000134257,0.00005385454,0.00008737086,0.00007121678,0.00005920599,0.006022622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001905502,"threshold_uncertainty_score":0.006374538,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387450880","doi":"10.3390/computation11100202","title":"Enhancing Network Availability: An Optimization Approach","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"","keywords":"Backup; Multipath propagation; Computer science; Multipath routing; Robustness (evolution); Load balancing (electrical power); Computer network; Distributed computing; High availability; Disjoint sets; Path (computing); Quality of service; Routing (electronic design automation); Routing protocol; Link-state routing protocol","authors":[{"name":"Yaser Al Mtawa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02751996026641275,"gpt":0.2576008374536951,"spread":0.2300808771872823,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029995,0.00103601,0.0007089657,0.001018754,0.0004734394,0.001134924,0.00102242,0.000714122,0.001889334],"category_scores_gemma":[0.002298771,0.0004474843,0.0005577179,0.000930512,0.0007674968,0.001603549,0.00109617,0.0008857593,0.0002192269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501466,"about_ca_system_score_gemma":0.001328928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00299101,"about_ca_topic_score_gemma":0.002408314,"domain_scores_codex":[0.9992877,0.0002928072,0.00002237188,0.00009923812,0.0002189867,0.00007897268],"domain_scores_gemma":[0.9993073,0.0004285612,0.00007976438,0.00004116528,0.000114713,0.00002850044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000185546,0.00002759578,0.0002313298,0.00006470401,0.00002429362,0.00002885905,0.00002403838,0.9409784,0.001082421,0.0340086,0.0006308546,0.02288036],"study_design_scores_gemma":[0.000003099304,0.00001841602,0.00006832458,0.000007806927,0.00000640736,0.00001136801,0.000008914431,0.9872164,0.0002870822,0.0114069,0.0009614232,0.000003872058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005591928,0.000502765,0.9876533,0.0003964526,0.00003535331,0.00004431083,0.00002870547,0.00007862596,0.005668452],"genre_scores_gemma":[0.6417582,0.002195026,0.349257,0.0002286875,0.0002311911,0.0003315757,0.00009780128,0.0001531726,0.005747336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00299101,"threshold_uncertainty_score":0.010894,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388332291","doi":"10.3390/computation11110221","title":"Epidemiological Implications of War: Machine Learning Estimations of the Russian Invasion’s Effect on Italy’s COVID-19 Dynamics","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network; University of Toronto; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pandemic; Refugee; Coronavirus disease 2019 (COVID-19); Public health; Ukrainian; Health care; Epidemiology; Geopolitics; Scale (ratio); Political science; Geography; Economic shortage; Economic growth; Development economics; Medicine; Cartography; Economics; Disease","authors":[{"name":"Dmytro Chumachenko","is_ca":true},{"name":"Tetiana Dudkina","is_ca":false},{"name":"Tetyana Chumachenko","is_ca":false},{"name":"Plinio Pelegrini Morita","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2287890428949443,"gpt":0.4516672850967912,"spread":0.2228782422018469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703784,0.0007411195,0.0005017763,0.001186642,0.0003503952,0.001163371,0.000632493,0.0008297106,0.001578093],"category_scores_gemma":[0.00631344,0.0002877583,0.0007729657,0.000615566,0.0003953367,0.000794574,0.0006597888,0.001059319,0.0002319211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009574645,"about_ca_system_score_gemma":0.001186416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02405889,"about_ca_topic_score_gemma":0.01004978,"domain_scores_codex":[0.9996467,0.0001570836,0.00002123213,0.00007892033,0.00003014512,0.00006593009],"domain_scores_gemma":[0.9981322,0.001223493,0.0002541928,0.00008274552,0.0002033482,0.0001040847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001366758,0.00008329844,0.09427002,0.00005566958,0.00009515667,0.0001413069,0.00008831317,0.8875798,0.0002411551,0.001230795,0.001301168,0.01477668],"study_design_scores_gemma":[0.000004563428,0.00002844648,0.007902656,0.00001972508,0.00001354777,0.00001884245,0.00006674256,0.990901,0.0001048445,0.0007380131,0.0001946996,0.000006990523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623389,0.0008316327,0.02979178,0.001838605,0.0001416664,0.00006842223,0.00117185,0.0001820418,0.003635177],"genre_scores_gemma":[0.9949796,0.0002055645,0.003571776,0.00005843618,0.00003863552,0.00002324803,0.0007097887,0.000007512615,0.0004054219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02405889,"threshold_uncertainty_score":0.04783767,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2974617618","doi":"10.3390/computation7030053","title":"Modeling and Analysis of Autonomous Agents’ Decisions in Learning to Cross a Cellular Automaton-Based Highway","year":2019,"lang":"en","type":"article","venue":"Computation","topic":"Traffic control and management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Computer science; Cellular automaton; Correctness; Decision tree; Machine learning; Artificial intelligence; Algorithm","authors":[{"name":"Shengkun Xie","is_ca":true},{"name":"Anna T. Ławniczak","is_ca":true},{"name":"Chong Gan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01134756153872595,"gpt":0.2389921192804927,"spread":0.2276445577417668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001553388,0.0003861783,0.0004839944,0.0005434078,0.0003626103,0.0007195653,0.0007291114,0.0006131139,0.0009440994],"category_scores_gemma":[0.006250703,0.0002793041,0.0007061767,0.0004526475,0.0007825862,0.0007200742,0.0005672746,0.0007002298,0.0001183189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194426,"about_ca_system_score_gemma":0.001406808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02493127,"about_ca_topic_score_gemma":0.01116095,"domain_scores_codex":[0.9993632,0.0002648878,0.00003698204,0.0001514307,0.00008632483,0.00009719303],"domain_scores_gemma":[0.9953898,0.002999461,0.0006877463,0.000241552,0.0005457862,0.0001356181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000226155,0.00002459173,0.006207443,0.00001554689,0.00002642939,0.00003756201,0.00007495575,0.9846418,0.0006447287,0.006313717,0.00007032817,0.001920309],"study_design_scores_gemma":[0.000001339305,0.000008603661,0.0008230484,0.000001228666,0.000003514326,0.000003252763,0.00001106271,0.997586,0.00009945232,0.001430827,0.00002874176,0.000002879011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7826533,0.0001063499,0.2142432,0.0003169883,0.00001609628,0.00008159941,0.0001560524,0.0001286914,0.002297655],"genre_scores_gemma":[0.9899624,0.00006481616,0.009170505,0.00001806769,0.000004380812,0.00007769012,0.00009141424,0.000008887409,0.000601853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02493127,"threshold_uncertainty_score":0.04957229,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407545297","doi":"10.3390/computation13020053","title":"Artificial Intelligence Applications in Public Health","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Public health; Computer science; Business; Medicine; Nursing","authors":[{"name":"Dmytro Chumachenko","is_ca":true},{"name":"Sergiy Yakovlev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3243427184925876,"gpt":0.5000634365228726,"spread":0.175720718030285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004831673,0.0006377386,0.0004694291,0.002991467,0.001316132,0.006421321,0.001026247,0.0032675,0.01332541],"category_scores_gemma":[0.01313868,0.0002712524,0.0004605998,0.004606051,0.002505697,0.003409063,0.002882838,0.003110999,0.003869661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001983326,"about_ca_system_score_gemma":0.003095474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779804,"about_ca_topic_score_gemma":0.002030362,"domain_scores_codex":[0.9971085,0.001867046,0.0001534119,0.0001547609,0.000596751,0.000119537],"domain_scores_gemma":[0.9932522,0.004556317,0.0003036755,0.0004186923,0.001083884,0.0003851936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005414908,0.0001246953,0.002779316,0.001387841,0.0000742105,0.0005651463,0.001003852,0.004626924,0.0006116122,0.4544807,0.1795712,0.3547203],"study_design_scores_gemma":[0.00001613383,0.0000454428,0.001565839,0.001441973,0.00003193963,0.0004551543,0.0008928932,0.004879839,0.000400012,0.3566724,0.6335717,0.00002646735],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.009006003,0.2453862,0.07344706,0.2478607,0.0105036,0.0003048445,0.0006701877,0.001080802,0.4117406],"genre_scores_gemma":[0.3890373,0.3477368,0.1178783,0.04398743,0.02002902,0.0005861836,0.001104345,0.0002684204,0.0793722],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01332541,"threshold_uncertainty_score":0.04457796,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041753625","doi":"10.3390/computation8030064","title":"Modelling Autonomous Agents’ Decisions in Learning to Cross a Cellular Automaton-Based Highway via Artificial Neural Networks","year":2020,"lang":"en","type":"article","venue":"Computation","topic":"Traffic control and management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial neural network; Cellular automaton; Artificial intelligence; Machine learning; Variables; Variable (mathematics); Mathematics","authors":[{"name":"Shengkun Xie","is_ca":true},{"name":"Anna T. Ławniczak","is_ca":true},{"name":"Junlin Hao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02573619842220517,"gpt":0.2357684238547792,"spread":0.210032225432574,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007326782,0.0004686271,0.0005998753,0.0004602925,0.0004787873,0.0009907561,0.0008430824,0.0009032683,0.001374698],"category_scores_gemma":[0.002481436,0.000340735,0.0005584182,0.0004307363,0.0008646597,0.0008357243,0.0006788695,0.0008355523,0.0001165912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339277,"about_ca_system_score_gemma":0.0009315516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02430213,"about_ca_topic_score_gemma":0.01730297,"domain_scores_codex":[0.9996605,0.0001277603,0.00001827673,0.00008382222,0.00004408561,0.00006564466],"domain_scores_gemma":[0.998541,0.0009091657,0.0002527613,0.00004283994,0.0001821923,0.00007200098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001353046,0.00001141598,0.001030424,0.000007195004,0.00001182394,0.00001774186,0.00002349853,0.9951029,0.0001890856,0.002378379,0.00004103578,0.001173054],"study_design_scores_gemma":[0.000001040437,0.000005269041,0.000110509,8.950788e-7,0.000002325072,0.000001457269,0.000005567796,0.9991626,0.00003103629,0.0006521458,0.00002576927,0.000001364831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6259233,0.0003724445,0.3647032,0.0006448416,0.0000742103,0.00007426099,0.0001416797,0.000169894,0.007896129],"genre_scores_gemma":[0.9900985,0.00009717141,0.008018107,0.00002862062,0.000007113889,0.00004700915,0.00003936889,0.000007089433,0.00165701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02430213,"threshold_uncertainty_score":0.04832137,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402441270","doi":"10.3390/computation12090186","title":"Exploring Bifurcation in the Compartmental Mathematical Model of COVID-19 Transmission","year":2024,"lang":"en","type":"article","venue":"Computation","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Bifurcation; Transmission (telecommunications); Virology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mathematics; Computer science; Physics; Biology; Medicine; Outbreak; Telecommunications; Internal medicine; Nonlinear system","authors":[{"name":"Olena Kiseleva","is_ca":false},{"name":"Sergiy Yakovlev","is_ca":false},{"name":"Dmytro Chumachenko","is_ca":true},{"name":"Oleksandr Kuzenkov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7187163498734893,"gpt":0.4972987150877695,"spread":0.2214176347857198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005749176,0.0004159051,0.0005656322,0.0008253236,0.000592224,0.001210123,0.000689726,0.001124821,0.001676306],"category_scores_gemma":[0.002463141,0.0002594846,0.0009284649,0.0003491822,0.0008847725,0.001030243,0.001149672,0.000780585,0.0001974789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009917151,"about_ca_system_score_gemma":0.0009985366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005826803,"about_ca_topic_score_gemma":0.002594478,"domain_scores_codex":[0.9998103,0.00009425961,0.00000886881,0.00002886067,0.00003003793,0.00002777047],"domain_scores_gemma":[0.9993698,0.0003958655,0.0001117976,0.00003084262,0.00005612,0.00003562533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002781552,0.00002277219,0.002412511,0.00007426058,0.00003819586,0.0003176279,0.0002264069,0.6281059,0.002159703,0.3632497,0.0006076804,0.002757387],"study_design_scores_gemma":[0.000004585622,0.0000113469,0.0002169359,0.00001095396,0.000008958821,0.00005049606,0.00003505597,0.9548608,0.0001094089,0.0440446,0.0006396115,0.000007309795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1919813,0.001126368,0.7784086,0.002147264,0.0001112834,0.00005834069,0.0002081056,0.0001497429,0.02580899],"genre_scores_gemma":[0.9609519,0.0007322275,0.03080026,0.0001231883,0.00005405704,0.0001032897,0.00009730666,0.00003674113,0.007101017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005826803,"threshold_uncertainty_score":0.01158577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380681414","doi":"10.3390/computation11060116","title":"On the Time Frequency Compactness of the Slepian Basis of Order Zero for Engineering Applications","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bandwidth (computing); Compact space; Basis (linear algebra); Waveform; Mathematics; Computer science; Algorithm; Mathematical analysis; Telecommunications","authors":[{"name":"Zuwen Sun","is_ca":true},{"name":"Natalie Baddour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02932520874615121,"gpt":0.2692006717403994,"spread":0.2398754629942482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001098329,0.0004090388,0.0003454174,0.0005300367,0.0003163,0.0007070346,0.0003454053,0.0003559479,0.001225924],"category_scores_gemma":[0.005361437,0.0002023848,0.0002860937,0.0004438592,0.001340736,0.001221194,0.0008055112,0.0008648727,0.0003277364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003216183,"about_ca_system_score_gemma":0.0002271616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001928094,"about_ca_topic_score_gemma":0.0001849806,"domain_scores_codex":[0.9995535,0.0001833951,0.00002016641,0.00005939465,0.0001569974,0.00002649798],"domain_scores_gemma":[0.9978127,0.001670948,0.000149884,0.0001824178,0.0001272464,0.00005673416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002602494,0.0000431219,0.0007135108,0.0002168139,0.00001998847,0.0002304006,0.0003890929,0.1009531,0.09376282,0.7110048,0.0008012156,0.0916049],"study_design_scores_gemma":[0.00002008484,0.0003837839,0.001290531,0.00009433424,0.00002286468,0.0004890042,0.0001239967,0.6366731,0.04816456,0.3040973,0.008594524,0.00004591568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0830254,0.001081268,0.9016384,0.0002631539,0.00003902018,0.00001938678,0.00002595624,0.00009506103,0.01381232],"genre_scores_gemma":[0.8002393,0.002149926,0.192779,0.0001405572,0.0001626378,0.00009580971,0.00007371361,0.0001508906,0.00420813],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001225924,"threshold_uncertainty_score":0.005808592,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396926167","doi":"10.3390/computation12050098","title":"An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization","year":2024,"lang":"en","type":"article","venue":"Computation","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Perspective (graphical); Operations research; Capacity management; On demand; Demand management; Computer science; Operations management; Business; Engineering; Economics; Computer network; Artificial intelligence; Commerce","authors":[{"name":"Abbas Seifi","is_ca":true},{"name":"K. Ponnambalam","is_ca":true},{"name":"Anna Kudiakova","is_ca":true},{"name":"Lisa Aultman-Hall","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03747672830858642,"gpt":0.2893218044449232,"spread":0.2518450761363368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006863611,0.0009748967,0.0009569871,0.0004135571,0.0005882204,0.001447307,0.0009276341,0.001305139,0.003193649],"category_scores_gemma":[0.0009630563,0.0004546649,0.001002932,0.0007965486,0.00064357,0.0006950615,0.0006148316,0.001059286,0.0003679552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567221,"about_ca_system_score_gemma":0.002432117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247298,"about_ca_topic_score_gemma":0.01137893,"domain_scores_codex":[0.9995766,0.0001450959,0.00001505577,0.00009012387,0.00008810368,0.00008505426],"domain_scores_gemma":[0.9996716,0.0001817283,0.00004824046,0.00001471645,0.00005721871,0.00002655852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007747565,0.000007645708,0.00005372663,0.000008815107,0.000003887377,0.0000160856,0.000005781397,0.9961055,0.0002062837,0.002664253,0.0001619397,0.0007582398],"study_design_scores_gemma":[0.000003578284,0.000006349907,0.00003464061,0.000001447761,0.000002589581,0.000002950487,0.00000365803,0.999069,0.00005327828,0.000626369,0.0001944962,0.000001612754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03793741,0.0004904722,0.9414358,0.0006244907,0.00009716349,0.00009663971,0.0003674623,0.0002368283,0.01871381],"genre_scores_gemma":[0.8926558,0.0008189781,0.08820733,0.0001738917,0.0000828158,0.0003892703,0.0004431326,0.0001062897,0.01712254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02247298,"threshold_uncertainty_score":0.04468435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4313575772","doi":"10.3390/computation11010008","title":"Application of Orthogonal Functions to Equivalent Linearization Method for MDOF Duffing–Van der Pol Systems under Nonstationary Random Excitations","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Van der Pol oscillator; Nonlinear system; Duffing equation; Linearization; Control theory (sociology); Mathematics; Computation; Applied mathematics; Describing function; Volterra series; Mathematical analysis; Computer science; Physics; Algorithm; Quantum mechanics","authors":[{"name":"Amir Younespour","is_ca":true},{"name":"Hosein Ghaffarzadeh","is_ca":false},{"name":"Shaohong Cheng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04055370801537964,"gpt":0.3647610812495984,"spread":0.3242073732342188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003651964,0.000487112,0.0003917986,0.0003178292,0.0002593191,0.0003769544,0.0004405945,0.0005227886,0.001615581],"category_scores_gemma":[0.0006710953,0.0001584743,0.0003704198,0.0002344971,0.000411066,0.0004997606,0.0004060036,0.0005175876,0.0002334448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002425497,"about_ca_system_score_gemma":0.000421058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003855979,"about_ca_topic_score_gemma":0.002543148,"domain_scores_codex":[0.9998829,0.00004349823,0.000006055911,0.00001641752,0.00003821312,0.00001283517],"domain_scores_gemma":[0.999814,0.00009295962,0.00002599414,0.00001582786,0.00004380557,0.000007380123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004977436,0.00003893333,0.0009092793,0.000131459,0.00002348559,0.000142375,0.0001675303,0.9066597,0.0118233,0.02502701,0.0007367811,0.05429039],"study_design_scores_gemma":[9.351137e-7,0.000005119021,0.00003536345,0.000002173251,0.000001006683,0.000005753077,0.00000485073,0.9988651,0.0003924437,0.0005168414,0.0001683259,0.000002139176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01738423,0.0001139629,0.979632,0.00006190055,0.00001787963,0.00002483525,0.00002343791,0.0001382123,0.002603548],"genre_scores_gemma":[0.8033265,0.0004511275,0.1915656,0.00009309404,0.00003272044,0.0001756602,0.0001271488,0.00009652639,0.004131522],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003855979,"threshold_uncertainty_score":0.007667065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2286857826","doi":"10.3390/computation4020016","title":"Current Issues in Finite-T Density-Functional Theory and Warm-Correlated Matter †","year":2016,"lang":"en","type":"preprint","venue":"Computation","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; National Research Council Canada","funders":"","keywords":"Warm dense matter; Electron; Physics; Ion; Fermi gas; Coulomb; Density functional theory; State of matter; Ionic bonding; Quantum; Atomic physics; Ionization; Polarization (electrochemistry); Quantum mechanics; Condensed matter physics; Chemistry; Physical chemistry","authors":[{"name":"M. W. C. Dharma‐wardana","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01329451578971413,"gpt":0.2667365865376388,"spread":0.2534420707479246,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009574206,0.001172373,0.002911535,0.001263554,0.002911443,0.003788338,0.006804411,0.006303868,0.01256193],"category_scores_gemma":[0.01448812,0.000985219,0.001501722,0.002276473,0.01047359,0.01081161,0.002908322,0.01210018,0.003062682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003143644,"about_ca_system_score_gemma":0.002889448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003910064,"about_ca_topic_score_gemma":0.002563108,"domain_scores_codex":[0.9975338,0.00117426,0.0001500494,0.0002740196,0.0007200781,0.0001478155],"domain_scores_gemma":[0.9912934,0.006017792,0.0002511496,0.00110238,0.00106599,0.000269268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006553703,0.00002025828,0.00003469349,0.0001569251,0.000005476079,0.00002560254,0.00005131015,0.001074941,0.00004030093,0.9852373,0.00702194,0.006324717],"study_design_scores_gemma":[0.000007084537,0.000009012893,0.00003628073,0.00008957295,0.000001805545,0.00003647073,0.00002481364,0.00690089,0.00003657177,0.9799509,0.01289451,0.00001211704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01384865,0.212788,0.3279124,0.2693803,0.01892317,0.0001421679,0.0008557819,0.0007333243,0.1554162],"genre_scores_gemma":[0.3209761,0.2141539,0.2969749,0.04568852,0.065146,0.00175631,0.001672184,0.00169461,0.05193758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01256193,"threshold_uncertainty_score":0.05063385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413375874","doi":"10.3390/computation13080201","title":"Sentiment-Driven Statistical Modelling of Stock Returns over Weekends","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stock (firearms); Econometrics; Economics; Financial economics; Computer science; Engineering","authors":[{"name":"Pablo Kowalski Kutz","is_ca":true},{"name":"Roman N. Makarov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.165095175684594,"gpt":0.4434543921775393,"spread":0.2783592164929454,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001904826,0.0006225754,0.0006741465,0.0009012136,0.0002121904,0.00091163,0.001235542,0.0007204157,0.001041965],"category_scores_gemma":[0.004169066,0.000496306,0.0008186608,0.0007071826,0.0004851096,0.001026485,0.000422725,0.0009021264,0.0003103098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006550371,"about_ca_system_score_gemma":0.0006885933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140197,"about_ca_topic_score_gemma":0.009523452,"domain_scores_codex":[0.9995727,0.0001431718,0.00002402465,0.0001085096,0.00007928094,0.00007226891],"domain_scores_gemma":[0.9984806,0.0008895358,0.0003134749,0.00008110052,0.000184099,0.00005109495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001025662,0.0001197475,0.01513773,0.00003878358,0.0001135613,0.000102872,0.00008875797,0.9459698,0.002519216,0.007806617,0.0008355448,0.02716491],"study_design_scores_gemma":[0.000001876133,0.000007994583,0.001069575,0.000001178134,0.000002848782,0.000003277734,0.00000261221,0.997623,0.0001092413,0.001115485,0.00006000365,0.000002947914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4487621,0.0004677097,0.5454786,0.001117745,0.00007246609,0.00009222546,0.001216965,0.0005513642,0.002240709],"genre_scores_gemma":[0.9667513,0.0002820225,0.02919735,0.00009725834,0.0001161255,0.00009778484,0.0009588253,0.00003510937,0.002464248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01140197,"threshold_uncertainty_score":0.02267122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386369696","doi":"10.3390/computation11090169","title":"Impact of Cross-Tie Material Nonlinearity on the Dynamic Behavior of Shallow Flexible Cable Networks","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Nonlinear system; Harmonic balance; Stiffness; Vibration; Structural engineering; Dissipative system; Modal; Harmonic; Modal analysis; Bridge (graph theory); Engineering; Physics; Acoustics; Materials science; Finite element method","authors":[{"name":"Amir Younespour","is_ca":true},{"name":"Shaohong Cheng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0179266970904633,"gpt":0.3105331905874071,"spread":0.2926064934969438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002400974,0.0003167843,0.0001899898,0.0003139344,0.0001721063,0.0002948107,0.0002094523,0.0003663036,0.001058418],"category_scores_gemma":[0.0009774584,0.000177884,0.0002250613,0.0001673903,0.0004162797,0.0006411331,0.0003997588,0.0003019589,0.0001651235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271367,"about_ca_system_score_gemma":0.0001792938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146812,"about_ca_topic_score_gemma":0.001594884,"domain_scores_codex":[0.9998776,0.00002582751,0.000005218259,0.00002382498,0.00004269094,0.00002483187],"domain_scores_gemma":[0.9995611,0.0002510898,0.00008658352,0.00003549343,0.0000473539,0.0000182949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002201342,0.00008651614,0.01323673,0.0001699149,0.00003294793,0.0009850046,0.0003460418,0.7854027,0.1708978,0.002118669,0.0001633613,0.02634026],"study_design_scores_gemma":[0.000004419132,0.0001571638,0.008180547,0.00001751702,0.00001218658,0.0001838416,0.0001587229,0.9739771,0.01644627,0.0004542352,0.0003892138,0.00001880428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954085,0.0001897873,0.04244218,0.00005030086,0.00001048249,0.000009997401,0.00003426359,0.00007430137,0.003103748],"genre_scores_gemma":[0.9985257,0.00008006447,0.0009340902,0.000004725748,0.000001394314,0.0000044181,0.00001290746,0.0000050143,0.0004316231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001146812,"threshold_uncertainty_score":0.003540814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410118554","doi":"10.3390/computation13050110","title":"An Algorithm Based on Connectivity Properties for Finding Cycles and Paths on Kidney Exchange Compatibility Graphs","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Universidad Autónoma de Nuevo León; Consejo Nacional de Ciencia y Tecnología","keywords":"Compatibility (geochemistry); Computer science; Algorithm; Mathematics; Combinatorics; Theoretical computer science; Materials science; Composite material","authors":[{"name":"Roger Z. Ríos‐Mercado","is_ca":false},{"name":"Lizeth Carolina Riascos-Álvarez","is_ca":true},{"name":"Jonathan F. Bard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03061802911134594,"gpt":0.2923444354949386,"spread":0.2617264063835927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006779643,0.001875086,0.001122449,0.002240259,0.001199952,0.001465284,0.002043358,0.001730223,0.006088391],"category_scores_gemma":[0.003556757,0.0008442348,0.001660115,0.001935322,0.0007394479,0.002789454,0.002011157,0.001614115,0.0006866378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777747,"about_ca_system_score_gemma":0.004466304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01049129,"about_ca_topic_score_gemma":0.01167028,"domain_scores_codex":[0.9993659,0.0001391295,0.00003825026,0.000235668,0.000128078,0.00009301175],"domain_scores_gemma":[0.9986437,0.0007805926,0.0001663699,0.0001475244,0.0001796408,0.00008207773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002084946,0.0003472144,0.001809387,0.0003685723,0.0001006242,0.0002383068,0.0002653999,0.6350619,0.004223278,0.04614042,0.01023466,0.3010016],"study_design_scores_gemma":[0.000063678,0.00007514064,0.0001600253,0.00002750714,0.00002786931,0.0000884919,0.00006725948,0.9738522,0.001001167,0.02193877,0.002679819,0.00001805339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02590465,0.0002415559,0.9661939,0.0004424538,0.00006225455,0.0005997823,0.0004250703,0.001283396,0.004846834],"genre_scores_gemma":[0.1399317,0.0002741413,0.8547217,0.0001707814,0.0000391217,0.0005624719,0.001537954,0.0002679734,0.002494251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01049129,"threshold_uncertainty_score":0.02086043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415284085","doi":"10.3390/computation13100243","title":"Thermal Rectification in One-Dimensional Atomic Chains with Mass Asymmetry and Nonlinear Interactions","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Gas Dynamics and Kinetic Theory","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Russian Science Foundation","keywords":"Rectification; Asymmetry; Nonlinear system; Thermal; Energy flow; Excitation; Kinetic energy; Thermal energy","authors":[{"name":"Arseny M. Kazakov","is_ca":false},{"name":"Elvir Z. Karimov","is_ca":true},{"name":"Г. Ф. Корзникова","is_ca":false},{"name":"Elena A. Korznikova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0214271707849463,"gpt":0.2959363803613096,"spread":0.2745092095763633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001300626,0.0001215129,0.0001565112,0.0001647896,0.0002915082,0.0003496529,0.0002245084,0.0002614801,0.001525837],"category_scores_gemma":[0.0004257186,0.0001354983,0.0001241171,0.0001295842,0.0005591516,0.0004613008,0.0003209849,0.0002686711,0.0001048039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027566,"about_ca_system_score_gemma":0.0001874763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758148,"about_ca_topic_score_gemma":0.0008618725,"domain_scores_codex":[0.9999462,0.000009711021,0.000002621362,0.000007141287,0.00001790986,0.00001643301],"domain_scores_gemma":[0.9998823,0.0000492236,0.00002352609,0.00001817085,0.0000128142,0.0000139243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002343583,0.0001011757,0.003586883,0.0002530561,0.00004592288,0.0006328964,0.0004174518,0.199073,0.6980321,0.08399519,0.0004594541,0.01316857],"study_design_scores_gemma":[0.00003270198,0.0001389834,0.002026773,0.00001727214,0.00001204269,0.0001158667,0.00009977104,0.9120718,0.07047996,0.01402488,0.0009553148,0.0000246508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921939,0.00008904245,0.005323739,0.00007691136,0.000008226944,0.000004413585,0.00001188806,0.00002248205,0.002269292],"genre_scores_gemma":[0.9984668,0.00005795779,0.001116221,0.000009696968,0.000001665155,0.000005225492,0.000008507313,0.000004351638,0.0003295488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001525837,"threshold_uncertainty_score":0.005104482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413879793","doi":"10.3390/computation13090205","title":"Fuzzy Lyapunov-Based Gain-Scheduled Control for Mars Entry Vehicles: A Computational Framework for Robust Non-Linear Trajectory Stabilization","year":2025,"lang":"en","type":"article","venue":"Computation","topic":"Spacecraft Dynamics and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Trajectory; Mars Exploration Program; Lyapunov function; Fuzzy logic; Computer science; Fuzzy control system; Control engineering; Control (management); Nonlinear system; Engineering; Artificial intelligence; Physics; Astrobiology","authors":[{"name":"Hongyang Zhang","is_ca":false},{"name":"Na Min","is_ca":false},{"name":"Shengkun Xie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009858048214607897,"gpt":0.2462994618047737,"spread":0.2364414135901658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386193,0.0005963322,0.0005390173,0.0003558723,0.0004117755,0.0007442927,0.0007928276,0.0005693256,0.001743577],"category_scores_gemma":[0.0007432108,0.0002086802,0.0005373883,0.0002554671,0.0006135099,0.0004459152,0.0005941137,0.0007194973,0.0002135373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005455532,"about_ca_system_score_gemma":0.001064714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007324432,"about_ca_topic_score_gemma":0.00582724,"domain_scores_codex":[0.9998575,0.00003730071,0.000006898772,0.00002481906,0.0000565128,0.00001692636],"domain_scores_gemma":[0.9998077,0.00008441557,0.00003299783,0.00001552527,0.00004876549,0.00001066693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001519762,0.000007959003,0.0000652895,0.00002743379,0.000006737708,0.00002448513,0.00002053747,0.9841552,0.001457662,0.008265064,0.0001169029,0.005837505],"study_design_scores_gemma":[0.000001485049,0.000009249664,0.00001347805,0.000002134077,0.000001098289,0.000001606949,0.000002229909,0.9989915,0.0001567639,0.0006802554,0.0001389647,0.000001142633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008688213,0.0001320123,0.988297,0.00006237129,0.00002465681,0.00003002879,0.00002000822,0.00009515223,0.00265052],"genre_scores_gemma":[0.9103817,0.0002573459,0.08694497,0.0000408939,0.00002687156,0.0001579203,0.00006474018,0.00002316153,0.002102271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007324432,"threshold_uncertainty_score":0.01456356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}