{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10003,"total_is_capped":false,"direct_labels_cover":11,"predictions_cover":10003,"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":"d209f815301d","filters":{"venue":"NPARC"}},"results":[{"id":"W185843240","doi":"","title":"The EGSnrc Code System: Monte Carlo Simulation of Electron and Photon Transport","year":2016,"lang":"en","type":"article","venue":"NPARC","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":989,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Photon; Monte Carlo method for photon transport; Statistical physics; Physics; Code (set theory); Electron; Computational physics; Computer science; Radiation transport; Monte Carlo molecular modeling; Nuclear physics; Markov chain Monte Carlo; Mathematics; Statistics; Quantum mechanics; Programming language; Set (abstract data type)","authors":[{"name":"I. Kawrakow","is_ca":false},{"name":"Ernesto Mainegra‐Hing","is_ca":false},{"name":"Frédéric Tessier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00876269462088985,"gpt":0.2599187653707418,"spread":0.251156070749852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001229682,0.001164486,0.001569441,0.0009322132,0.001124675,0.001496522,0.003254398,0.002594527,0.02426145],"category_scores_gemma":[0.003471355,0.001091316,0.001135962,0.002223469,0.0005395169,0.00138181,0.0007080252,0.001828613,0.006905414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340197,"about_ca_system_score_gemma":0.002941758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02432472,"about_ca_topic_score_gemma":0.01935866,"domain_scores_codex":[0.999267,0.0002591604,0.00003673714,0.00005673768,0.0002973486,0.00008301977],"domain_scores_gemma":[0.9985492,0.0005845259,0.00007987805,0.0002122819,0.0005003074,0.00007386568],"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":[0.000403637,0.0001621067,0.00165444,0.0005902897,0.0001878008,0.0002679198,0.0001713877,0.8086287,0.003551173,0.06274287,0.09575678,0.02588296],"study_design_scores_gemma":[0.0001315665,0.00004032597,0.0004394657,0.00006169793,0.00004499682,0.00006614162,0.00002378622,0.9544234,0.005068957,0.008345112,0.03130127,0.00005317527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07107079,0.002629541,0.6378227,0.001910363,0.001289068,0.0009811344,0.05371244,0.04010582,0.1904781],"genre_scores_gemma":[0.3874618,0.002053829,0.4982327,0.001369007,0.0002551317,0.002642346,0.03159241,0.02552331,0.05086942],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02432472,"threshold_uncertainty_score":0.08116263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162010436","doi":"","title":"Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":873,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Lexicon; Computer science; Natural language processing; Word (group theory); Sentiment analysis; Emotion classification; Orientation (vector space); Artificial intelligence; Term (time); Polarity (international relations); Quality (philosophy); Emotion recognition; Semantics (computer science); Speech recognition; Linguistics; Mathematics","authors":[{"name":"Saif M. Mohammad","is_ca":true},{"name":"Peter D. Turney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02472797718163747,"gpt":0.2964459804661465,"spread":0.271718003284509,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003237154,0.0007327201,0.0004213098,0.002885029,0.001044667,0.001491177,0.0008060238,0.0008030381,0.003035499],"category_scores_gemma":[0.01413025,0.0002828419,0.0005811537,0.001975972,0.0009835534,0.001338092,0.00197082,0.0008643619,0.001876628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008646214,"about_ca_system_score_gemma":0.0006577972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260371,"about_ca_topic_score_gemma":0.004129057,"domain_scores_codex":[0.9961195,0.002109001,0.0003603739,0.0004874477,0.0007508595,0.0001728956],"domain_scores_gemma":[0.9885427,0.007054177,0.001032812,0.001043756,0.002017295,0.0003093722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003095478,0.002307815,0.1078011,0.003417228,0.0004013095,0.00441221,0.0325895,0.01717135,0.250888,0.01578622,0.09766373,0.4644661],"study_design_scores_gemma":[0.0008138227,0.001853039,0.3978388,0.0005330638,0.0003343799,0.002981341,0.02500175,0.2263395,0.09878345,0.03665164,0.2081064,0.0007627791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139123,0.0003511957,0.1437953,0.0008871724,0.0002460492,0.004161031,0.01502479,0.002127429,0.01949469],"genre_scores_gemma":[0.793251,0.0001736316,0.1651577,0.00058946,0.0001263223,0.007983799,0.02676162,0.0004660407,0.005490548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003237154,"threshold_uncertainty_score":0.01711994,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122475233","doi":"10.5465/amj.2007.26279172","title":"Vive la résistance: competing logic in the consolidation of community banking","year":2007,"lang":"fr","type":"article","venue":"NPARC","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":669,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Consolidation (business); Diversification (marketing strategy); Resistance (ecology); Business; Organizational ecology; Population; Banking industry; Mergers and acquisitions; Retail banking; Accounting; Economics; Financial system; Marketing; Management; Sociology; Finance; Ecology","authors":[{"name":"Christopher Marquis","is_ca":true},{"name":"Michael Lounsbury","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02615403976789943,"gpt":0.2560475924189307,"spread":0.2298935526510312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01281192,0.000233354,0.000637132,0.002001941,0.006130304,0.01515799,0.001994303,0.01003334,0.04630179],"category_scores_gemma":[0.1140123,0.0002587341,0.0003689243,0.001599383,0.008253586,0.007349283,0.003541425,0.007121516,0.009016916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003263965,"about_ca_system_score_gemma":0.003791904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004587777,"about_ca_topic_score_gemma":0.00582772,"domain_scores_codex":[0.9853141,0.006777003,0.0004267518,0.001429536,0.004382687,0.001669884],"domain_scores_gemma":[0.9203836,0.03035286,0.005879793,0.004246491,0.034371,0.004766242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000304531,0.0001256208,0.004483902,0.0003281496,0.00005490549,0.001454683,0.009811079,0.0003530422,0.001071626,0.4012713,0.5124471,0.06829412],"study_design_scores_gemma":[0.0001284423,0.0001972284,0.0136469,0.0007601533,0.0000500083,0.001315775,0.01757751,0.002260903,0.001485154,0.1734555,0.7889562,0.0001662956],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06811597,0.005037973,0.003656624,0.5499715,0.01040333,0.0001161264,0.000164606,0.000208616,0.3623253],"genre_scores_gemma":[0.7622375,0.002688127,0.001298944,0.0293751,0.01121632,0.00008265964,0.0001342308,0.0002833352,0.1926839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04630179,"threshold_uncertainty_score":0.1548949,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W10957333","doi":"","title":"Data-Driven Response Generation in Social Media","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Topic Modeling","field":"Computer Science","cited_by":580,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Phrase; Computer science; Machine translation; Natural language processing; Artificial intelligence; Social media; Speech recognition","authors":[{"name":"Alan Ritter","is_ca":false},{"name":"Colin Cherry","is_ca":true},{"name":"William B. Dolan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1716762906428433,"gpt":0.2990671782790738,"spread":0.1273908876362305,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003495304,0.0009677841,0.0007475673,0.0008967205,0.0004544355,0.0009840966,0.0014568,0.001142541,0.004125992],"category_scores_gemma":[0.01579889,0.0003712614,0.0007520653,0.0009377684,0.0005710644,0.001186431,0.001338652,0.001205892,0.00345325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005362378,"about_ca_system_score_gemma":0.0007050914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162037,"about_ca_topic_score_gemma":0.001522,"domain_scores_codex":[0.9956616,0.003038253,0.000142285,0.0004907762,0.0005154285,0.0001516234],"domain_scores_gemma":[0.9852346,0.01116302,0.0005277305,0.001161073,0.001674265,0.0002394733],"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":[0.002076373,0.001079308,0.007029182,0.001253629,0.0002594544,0.001183132,0.002088505,0.1609831,0.1091319,0.0154452,0.02616386,0.6733064],"study_design_scores_gemma":[0.00009622826,0.0002626068,0.0008574524,0.00002159264,0.00002614485,0.0001776934,0.0003232078,0.9413615,0.03727432,0.01210301,0.007444626,0.0000515788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06410319,0.0001789618,0.9171577,0.0008398948,0.0002189033,0.0006938631,0.001981745,0.01191168,0.002914032],"genre_scores_gemma":[0.5138577,0.0001190871,0.4771859,0.0003484307,0.0001658991,0.001183972,0.003607155,0.0006597027,0.002872198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004125992,"threshold_uncertainty_score":0.01848519,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1654173042","doi":"","title":"Unsupervised Modeling of Twitter Conversations","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Topic Modeling","field":"Computer Science","cited_by":434,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"Microsoft Research","keywords":"Computer science; Conversation; Task (project management); Cluster analysis; Visualization; Domain (mathematical analysis); Artificial intelligence; Social media; Natural language processing; Microblogging; Topic model; Data science; World Wide Web; Linguistics","authors":[{"name":"Alan Ritter","is_ca":false},{"name":"Colin Cherry","is_ca":true},{"name":"Bill Dolan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03234468296183593,"gpt":0.247503627607715,"spread":0.215158944645879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001008454,0.0005647665,0.0005435738,0.001160927,0.0005663057,0.001183551,0.001118301,0.0007092286,0.001428792],"category_scores_gemma":[0.006810176,0.0004108484,0.0007966434,0.0008705125,0.0006282655,0.001916764,0.001034436,0.001079712,0.0006879616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007663103,"about_ca_system_score_gemma":0.0007617376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005841764,"about_ca_topic_score_gemma":0.007299322,"domain_scores_codex":[0.9989691,0.0004945821,0.00004307236,0.0002786739,0.0001232621,0.00009131733],"domain_scores_gemma":[0.9976798,0.001403945,0.0002683688,0.0002877445,0.00027171,0.00008854204],"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":[0.0005433768,0.0002388259,0.02698207,0.0003584452,0.0002629847,0.0004497948,0.003433864,0.6984304,0.01961686,0.09021916,0.009850348,0.1496139],"study_design_scores_gemma":[0.000004942787,0.000009051157,0.00121353,0.000005403518,0.000006131157,0.00002595493,0.00006912276,0.9860108,0.0006517785,0.01067461,0.001320543,0.00000821147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.11056,0.0002992035,0.8813415,0.000597939,0.00005559218,0.0001543512,0.001693289,0.001068754,0.004229306],"genre_scores_gemma":[0.8848689,0.0003092695,0.1065673,0.00009910824,0.0001573223,0.0004229722,0.002932727,0.0002598317,0.004382703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005841764,"threshold_uncertainty_score":0.01161551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130047865","doi":"","title":"Clay-containing polymeric nanocomposites","year":2002,"lang":"en","type":"article","venue":"NPARC","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":419,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Geology","authors":[{"name":"Musa R. Kamal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03566808713450586,"gpt":0.2250038784217684,"spread":0.1893357912872625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001423997,0.0008193904,0.0004992385,0.0006516103,0.0001397049,0.0006067022,0.0003270245,0.0004927647,0.002886626],"category_scores_gemma":[0.0001996349,0.0001870383,0.0003202161,0.0004291753,0.0001485065,0.0007684972,0.000464385,0.0006704828,0.002037494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000233713,"about_ca_system_score_gemma":0.0001645536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410285,"about_ca_topic_score_gemma":0.0002748393,"domain_scores_codex":[0.9998585,0.00001712008,0.0000121521,0.00004036404,0.00004954546,0.00002226571],"domain_scores_gemma":[0.9999427,0.00001973139,0.00001602927,0.000002230797,0.00001219733,0.000007212911],"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":[0.00009912757,0.0002387318,0.0003474744,0.03348376,0.0002046451,0.001400087,0.0002056156,0.002591311,0.3460609,0.01082664,0.02244273,0.582099],"study_design_scores_gemma":[0.00001205726,0.0002409918,0.0005884537,0.0008574111,0.00009607316,0.001859379,0.00005566931,0.0005922179,0.09816423,0.001377189,0.8961173,0.00003903866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.012805,0.9643336,0.00499537,0.0003352371,0.001188813,0.00005360561,0.0001704087,0.0001499663,0.01596794],"genre_scores_gemma":[0.08305161,0.8856006,0.007338791,0.001073797,0.001052931,0.0001522187,0.000443093,0.00007469695,0.02121224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002886626,"threshold_uncertainty_score":0.009656727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2159755860","doi":"","title":"Batch Tuning Strategies for Statistical Machine Translation","year":2012,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":338,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"Johns Hopkins University","keywords":"Computer science; Machine translation; Machine learning; Feature (linguistics); Artificial intelligence; Variety (cybernetics); Support vector machine; Translation (biology); Simple (philosophy); Sentence; Data mining","authors":[{"name":"Colin Cherry","is_ca":true},{"name":"George Foster","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02839738380637398,"gpt":0.3112397182538902,"spread":0.2828423344475162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006563127,0.0008993822,0.001083588,0.001298061,0.0009421756,0.001420404,0.001927871,0.001305421,0.005247932],"category_scores_gemma":[0.01597881,0.000652893,0.0006790788,0.001363982,0.0008336183,0.002730816,0.001127122,0.001676277,0.003346708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009782065,"about_ca_system_score_gemma":0.001124462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201522,"about_ca_topic_score_gemma":0.003605023,"domain_scores_codex":[0.9961998,0.00200587,0.0002333151,0.0007710664,0.0006238194,0.0001661347],"domain_scores_gemma":[0.9930962,0.004214146,0.0003953807,0.00154118,0.000622271,0.000130784],"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":[0.00122397,0.0005320092,0.002598931,0.0003396382,0.0002297002,0.0001326941,0.0002294854,0.1906141,0.03368352,0.0203078,0.01542012,0.734688],"study_design_scores_gemma":[0.0001207497,0.0002274606,0.001014942,0.00002748548,0.00003904515,0.00013668,0.00005028829,0.9533692,0.01252225,0.02727629,0.005170324,0.00004526402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02981577,0.001973137,0.9547424,0.0002848869,0.0001579894,0.0001570596,0.0002427635,0.008066224,0.004559814],"genre_scores_gemma":[0.4267604,0.0005049597,0.5646689,0.0004040052,0.0002260286,0.0005337071,0.0008882373,0.00157279,0.004440979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006563127,"threshold_uncertainty_score":0.03470957,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2510124594","doi":"","title":"A GLOBAL WAVE ENERGY RESOURCE ASSESSMENT","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":304,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"Natural Resources Canada","keywords":"Buoy; Wind wave model; Meteorology; Energy (signal processing); Environmental science; Resource (disambiguation); Wave height; Wave model; Significant wave height; Climatology; Computer science; Wind wave; Geology; Wind speed; Geography; Statistics; Mathematics; Oceanography","authors":[{"name":"Andrew Cornett","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01663448525749303,"gpt":0.2090683855403741,"spread":0.1924339002828811,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008861674,0.0006184669,0.0004429061,0.002783981,0.0003290118,0.001004908,0.0002934495,0.0004014051,0.003910204],"category_scores_gemma":[0.001602579,0.0002086707,0.0005089039,0.003221962,0.0002186026,0.002457049,0.001484351,0.000384264,0.0005855534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005643745,"about_ca_system_score_gemma":0.0007712003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006655435,"about_ca_topic_score_gemma":0.01501875,"domain_scores_codex":[0.9995394,0.0000838862,0.00003285789,0.00008338434,0.0002039816,0.00005645808],"domain_scores_gemma":[0.999616,0.0000984474,0.00004711379,0.00006243772,0.0001535781,0.00002236106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004743176,0.0001905841,0.1802816,0.0003932711,0.0005986468,0.0006534948,0.0004338434,0.2577546,0.01207335,0.0191021,0.0186918,0.5093524],"study_design_scores_gemma":[0.0001359663,0.0005524714,0.6041725,0.0003339478,0.0004249054,0.0005221672,0.001936011,0.223684,0.01254646,0.02947735,0.1260297,0.0001844803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791958,0.001891371,0.0376139,0.001409217,0.0000871083,0.000311228,0.02841678,0.0006705647,0.1376418],"genre_scores_gemma":[0.9457242,0.001426865,0.03114142,0.0001988857,0.00003817392,0.0002326901,0.01484225,0.0002287667,0.006166619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006655435,"threshold_uncertainty_score":0.01323336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W648252523","doi":"10.1007/978-1-84882-846-9","title":"Electrochemical Impedance Spectroscopy in PEM Fuel Cells: Fundamentals and Applications","year":2014,"lang":"en","type":"book","venue":"NPARC","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":278,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Dielectric spectroscopy; Proton exchange membrane fuel cell; Fuel cells; Electrochemistry; Materials science; Electrical impedance; Chemical engineering; Chemistry; Engineering; Electrical engineering; Electrode; Physical chemistry","authors":[{"name":"Xiao‐Zi Yuan","is_ca":false},{"name":"Chaojie Song","is_ca":false},{"name":"Haijiang Wang","is_ca":false},{"name":"Jiujun Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003587243090765779,"gpt":0.1915327984935222,"spread":0.1879455554027565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003372972,0.001000884,0.001072169,0.00123046,0.0003156767,0.001297454,0.001243935,0.001345279,0.007296911],"category_scores_gemma":[0.0004919185,0.0005741125,0.0004985397,0.002307718,0.0005487258,0.002852936,0.000898291,0.002132582,0.008465464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921001,"about_ca_system_score_gemma":0.0004124862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002896774,"about_ca_topic_score_gemma":0.0007112897,"domain_scores_codex":[0.9996147,0.00002392777,0.00001637678,0.00005751663,0.0002740709,0.00001340459],"domain_scores_gemma":[0.9997984,0.00008707779,0.000009706447,0.0000183246,0.00007580038,0.00001082374],"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":[0.00006967751,0.0001452606,0.0001215501,0.00255853,0.00003523973,0.0001592448,0.0001395892,0.002220525,0.08394141,0.02649982,0.0859377,0.7981714],"study_design_scores_gemma":[0.00001007425,0.00008196942,0.0004799707,0.0004204941,0.00002215978,0.001046126,0.00007083977,0.004799441,0.04359358,0.02529508,0.9241348,0.00004537007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.003859177,0.6045126,0.2427192,0.003607637,0.006061927,0.0001592119,0.0006703354,0.001254967,0.137155],"genre_scores_gemma":[0.0268921,0.4965681,0.1064475,0.002413851,0.003918583,0.0002368914,0.0009278001,0.0004506591,0.3621445],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007296911,"threshold_uncertainty_score":0.02441061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142742813","doi":"","title":"Learning from multiple partially observed views - an application to multilingual text categorization","year":2009,"lang":"en","type":"preprint","venue":"NPARC","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":274,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Leverage (statistics); Categorization; Machine learning; Natural language processing; Generalization; Text categorization; Set (abstract data type); Training set; Supervised learning; Artificial neural network; Mathematics","authors":[{"name":"Massih Amini","is_ca":false},{"name":"Nicolas Usunier","is_ca":false},{"name":"Cyril Goutte","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0694166084151494,"gpt":0.2987423463949583,"spread":0.2293257379798089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004723601,0.0008028169,0.001922352,0.001695621,0.0009681313,0.002045695,0.002167351,0.002009852,0.001276881],"category_scores_gemma":[0.02130318,0.0005661816,0.001641518,0.002484338,0.00141766,0.003935613,0.002788011,0.002574,0.0005233674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131182,"about_ca_system_score_gemma":0.0007067282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197972,"about_ca_topic_score_gemma":0.002217289,"domain_scores_codex":[0.9968234,0.001548613,0.0001582067,0.000685739,0.000615775,0.0001682928],"domain_scores_gemma":[0.9819584,0.01208247,0.001298294,0.003036444,0.001250696,0.0003737239],"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":[0.0005738136,0.0002970904,0.01349335,0.0003846415,0.0005663804,0.001017653,0.00116333,0.3169044,0.00836513,0.05157679,0.006719757,0.5989377],"study_design_scores_gemma":[0.00002169243,0.00007696205,0.001324535,0.0000275074,0.00004751883,0.0002452997,0.000109719,0.9244691,0.003172743,0.06845555,0.002017877,0.00003153715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02946595,0.0005994254,0.9681234,0.0005193119,0.00003547188,0.00004889567,0.00019099,0.0004421311,0.000574526],"genre_scores_gemma":[0.5818497,0.0006119032,0.4129444,0.0002925304,0.000296497,0.000207254,0.001802647,0.0001567289,0.001838237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004723601,"threshold_uncertainty_score":0.02498102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1879966306","doi":"","title":"Long Short-Term Memory Over Recursive Structures","year":2015,"lang":"en","type":"article","venue":"NPARC","topic":"Topic Modeling","field":"Computer Science","cited_by":273,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Ottawa; National Research Council Canada","funders":"","keywords":"Computer science; Leverage (statistics); Artificial intelligence; Parsing; Theoretical computer science; Natural language processing","authors":[{"name":"Xiaodan Zhu","is_ca":true},{"name":"Parinaz Sobihani","is_ca":true},{"name":"Hongyu Guo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03825664726599463,"gpt":0.2786430462546798,"spread":0.2403863989886852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003425917,0.0007202094,0.0004390269,0.0003954242,0.0002779401,0.0006850936,0.001100569,0.0008038584,0.003685961],"category_scores_gemma":[0.001819494,0.0002927791,0.0004237522,0.0007259872,0.000537596,0.003171249,0.0006705835,0.001055758,0.0009293194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007314786,"about_ca_system_score_gemma":0.000626676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00461016,"about_ca_topic_score_gemma":0.006161918,"domain_scores_codex":[0.9998429,0.00003837896,0.00001201304,0.00006259535,0.00002184835,0.00002229811],"domain_scores_gemma":[0.9995536,0.0002427983,0.0000525937,0.00006645988,0.00006413904,0.00002038757],"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":[0.0003908758,0.00008687101,0.001696897,0.000607393,0.0001310248,0.0004139446,0.0004215442,0.3729364,0.04380392,0.1294599,0.009376834,0.4406744],"study_design_scores_gemma":[0.0000108648,0.00005750349,0.0003521832,0.00002848585,0.00003197629,0.0000580734,0.00002555855,0.9413443,0.00597361,0.04972975,0.0023758,0.00001195893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07111851,0.002478018,0.9135227,0.0006922918,0.000144425,0.00004954445,0.0006518159,0.003265755,0.008077065],"genre_scores_gemma":[0.8760471,0.001998465,0.1136267,0.0002087939,0.0001236056,0.0001082826,0.001026798,0.0001791229,0.006681083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00461016,"threshold_uncertainty_score":0.01233071,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2252218513","doi":"","title":"Literal and Metaphorical Sense Identification through Concrete and Abstract Context","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":244,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Medical Research Council; Ministry of Defense; Atomic Energy of Canada Limited","keywords":"Literal (mathematical logic); Computer science; Metaphor; Natural language processing; Adjective; Context (archaeology); Artificial intelligence; Linguistics; Noun; Inference; Word (group theory); Algorithm","authors":[{"name":"Peter D. Turney","is_ca":false},{"name":"Yair Neuman","is_ca":false},{"name":"Dan Assaf","is_ca":false},{"name":"Yohai Cohen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04653668823200464,"gpt":0.2967097163552999,"spread":0.2501730281232952,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763269,0.001876944,0.001191142,0.005706456,0.001430093,0.00341177,0.00221989,0.003041276,0.006494854],"category_scores_gemma":[0.006588105,0.0004157164,0.001561849,0.002997875,0.0009275824,0.005493876,0.002938551,0.001764891,0.004654714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006603635,"about_ca_system_score_gemma":0.001023232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003286275,"about_ca_topic_score_gemma":0.007248081,"domain_scores_codex":[0.9976737,0.0005236171,0.0002703637,0.0008922008,0.0004698565,0.0001702258],"domain_scores_gemma":[0.9970338,0.001533188,0.0002245592,0.0006264303,0.0004002293,0.0001818765],"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":[0.001775327,0.001111238,0.04728775,0.001990124,0.0005729875,0.0007737918,0.001532937,0.007677844,0.04100349,0.008540703,0.04540693,0.8423269],"study_design_scores_gemma":[0.000666173,0.0009164908,0.08361784,0.0005251585,0.0005014836,0.004471534,0.006711761,0.6528077,0.08082028,0.05806144,0.1105577,0.0003424877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6400316,0.009933613,0.2684825,0.002216985,0.0007328751,0.001256662,0.01916056,0.03185879,0.02632652],"genre_scores_gemma":[0.5345218,0.0009036047,0.4185593,0.0003620515,0.0001419157,0.0004528869,0.03865185,0.000502709,0.005903872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006494854,"threshold_uncertainty_score":0.02172744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1848260265","doi":"","title":"Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":211,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Discriminative model; Weighting; Computer science; Domain adaptation; Machine translation; Artificial intelligence; Relevance (law); Granularity; Phrase; Natural language processing; Domain (mathematical analysis); Machine learning; Range (aeronautics); Adaptation (eye); Translation (biology); Pattern recognition (psychology); Mathematics; Engineering","authors":[{"name":"George Foster","is_ca":false},{"name":"Cyril Goutte","is_ca":false},{"name":"Roland Kühn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01834908506549149,"gpt":0.2900663894007872,"spread":0.2717173043352957,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002754747,0.0009690283,0.001215262,0.001297385,0.0005009207,0.0009891014,0.001865944,0.001086342,0.003015335],"category_scores_gemma":[0.008819309,0.0005698251,0.00076605,0.00269182,0.0008518529,0.003116325,0.002029917,0.002578774,0.002322875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005895585,"about_ca_system_score_gemma":0.000628259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602368,"about_ca_topic_score_gemma":0.002718308,"domain_scores_codex":[0.9982185,0.0009706583,0.00008846035,0.0003350178,0.0002885681,0.00009887249],"domain_scores_gemma":[0.9972121,0.001479107,0.0001664554,0.0008140229,0.0002417552,0.00008650998],"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":[0.0003409699,0.0002591989,0.001370993,0.0002381575,0.0001821059,0.0001385576,0.0001826834,0.1848678,0.02132192,0.03148202,0.008839818,0.7507758],"study_design_scores_gemma":[0.00002262174,0.00005781337,0.0003147529,0.00001263811,0.00002776221,0.0001027247,0.00002327797,0.9489197,0.006706495,0.03888143,0.00490518,0.00002573247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005499462,0.0004119468,0.9916489,0.00009135697,0.00005222323,0.00004304993,0.00008889403,0.0014313,0.0007329109],"genre_scores_gemma":[0.2685875,0.0008068564,0.7247429,0.0003175688,0.0003004571,0.0002843917,0.001105207,0.0007563533,0.003098784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003015335,"threshold_uncertainty_score":0.01456869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W187834449","doi":"","title":"Ion suppression : A major concern in mass spectrometry","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":183,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Ion suppression in liquid chromatography–mass spectrometry; Chemistry; Analyte; Mass spectrometry; Matrix (chemical analysis); Chromatography; Figure of merit; Ion; Calibration; Sensitivity (control systems); Analytical Chemistry (journal); Liquid chromatography–mass spectrometry; Materials science; Statistics; Optoelectronics","authors":[{"name":"Lori Lee Jessome","is_ca":false},{"name":"Dietrich A. Volmer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007641452743901963,"gpt":0.2272421272905906,"spread":0.2196006745466886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079954,0.001792335,0.002171185,0.001774029,0.001726158,0.003974028,0.003673652,0.007045308,0.00320082],"category_scores_gemma":[0.01197679,0.0009970232,0.0007888749,0.002482637,0.004927128,0.008185947,0.002461774,0.007295111,0.007862816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000984383,"about_ca_system_score_gemma":0.0008533375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003194073,"about_ca_topic_score_gemma":0.0002698167,"domain_scores_codex":[0.9889304,0.002189171,0.0004549547,0.002132565,0.006020886,0.0002720958],"domain_scores_gemma":[0.9917372,0.004333062,0.0007917486,0.00094867,0.001906781,0.0002824425],"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":[0.000568036,0.0002745028,0.002634487,0.008335527,0.0004024945,0.004597614,0.001330753,0.001873585,0.1978671,0.1377055,0.1117713,0.5326391],"study_design_scores_gemma":[0.00004755629,0.0005889269,0.001190472,0.000969518,0.0001186114,0.02027564,0.0003978871,0.004685195,0.1772621,0.1313306,0.6629038,0.0002297203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01008276,0.440217,0.4787512,0.03525076,0.01212713,0.0002051041,0.0003102708,0.00293757,0.02011828],"genre_scores_gemma":[0.1236535,0.3542961,0.4029174,0.04510983,0.02867085,0.0003644466,0.0006853423,0.001964546,0.04233792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0079954,"threshold_uncertainty_score":0.04228419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141971526","doi":"","title":"Statistical Phrase-Based Post-Editing","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":168,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Human Resources and Skills Development Canada","keywords":"Machine translation; Computer science; Phrase; Natural language processing; BLEU; Task (project management); Artificial intelligence; Translation (biology); Mode (computer interface); Human–computer interaction; Engineering","authors":[{"name":"Michel Simard","is_ca":false},{"name":"Cyril Goutte","is_ca":false},{"name":"Pierre Isabelle","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01085123582808055,"gpt":0.2833709958663108,"spread":0.2725197600382302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00332412,0.0009755061,0.001203293,0.001649394,0.0005461141,0.001598367,0.00274351,0.0009925753,0.005537262],"category_scores_gemma":[0.01689474,0.0005144621,0.0007928296,0.002419601,0.0008261242,0.002280079,0.00108412,0.001619045,0.006585419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817597,"about_ca_system_score_gemma":0.001341497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000898324,"about_ca_topic_score_gemma":0.00162405,"domain_scores_codex":[0.9954398,0.001507192,0.0003754064,0.0008916147,0.001652907,0.0001330727],"domain_scores_gemma":[0.978893,0.007799916,0.001383902,0.006140734,0.005560006,0.0002224819],"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":[0.0002545658,0.0004103892,0.003140599,0.0006236419,0.000227512,0.0005853993,0.0003896274,0.01828295,0.121247,0.01286189,0.01115918,0.8308172],"study_design_scores_gemma":[0.0001455028,0.001159688,0.006673494,0.0000792506,0.0002722153,0.002818494,0.0002510754,0.5834242,0.3015946,0.0474063,0.05590469,0.0002706311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01286421,0.0002296775,0.9734511,0.0002458571,0.0001457365,0.0001530395,0.0004500762,0.009286262,0.003174031],"genre_scores_gemma":[0.1674724,0.0002843614,0.8239572,0.0003950353,0.0002221165,0.0002110203,0.001998364,0.0009769907,0.004482527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005537262,"threshold_uncertainty_score":0.01852399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206711231","doi":"10.48550/arxiv.2110.07728","title":"Pre-training Molecular Graph Representation with 3D Geometry","year":2021,"lang":"en","type":"preprint","venue":"NPARC","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":154,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Molecular graph; Discriminative model; Computer science; Graph; Representation (politics); Consistency (knowledge bases); Theoretical computer science; Encoder; Training set; Artificial intelligence; Machine learning; Topology (electrical circuits); Mathematics; Combinatorics","authors":[{"name":"Shengchao Liu","is_ca":false},{"name":"Hanchen Wang","is_ca":false},{"name":"Weiyang Liu","is_ca":false},{"name":"Joan Lasenby","is_ca":false},{"name":"Hongyu Guo","is_ca":false},{"name":"Jian Tang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03343152167548662,"gpt":0.3201977049787594,"spread":0.2867661833032727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006263735,0.001298896,0.001436157,0.00130586,0.0004989792,0.0009381768,0.002734455,0.002123736,0.005455604],"category_scores_gemma":[0.00410829,0.0007379351,0.001392377,0.001535895,0.001024036,0.002353979,0.0016977,0.002746755,0.00270801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009960519,"about_ca_system_score_gemma":0.001334607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003503973,"about_ca_topic_score_gemma":0.006826123,"domain_scores_codex":[0.9992913,0.000179028,0.00002398914,0.0002633952,0.0001759339,0.0000664043],"domain_scores_gemma":[0.9983243,0.0007247232,0.0001455711,0.0005094302,0.0002104745,0.00008540569],"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":[0.0002694069,0.0003610949,0.0022491,0.0005326468,0.0001165508,0.0002592139,0.00009182046,0.4729345,0.01634609,0.01792541,0.02807522,0.4608389],"study_design_scores_gemma":[0.00001470698,0.00006696624,0.0001950419,0.00001228233,0.00001237373,0.00005676098,0.00001820492,0.9829275,0.003674287,0.01091715,0.002096104,0.000008749104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04665663,0.001024712,0.9356585,0.0009344291,0.0001650165,0.0001698756,0.001429062,0.009952237,0.004009512],"genre_scores_gemma":[0.5360529,0.0009997413,0.4449762,0.001039328,0.0001509544,0.0003809661,0.009846193,0.0008345388,0.005719143],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005455604,"threshold_uncertainty_score":0.01825082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2355885343","doi":"","title":"NRC User Codes for EGSnrc","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Code (set theory); Monte Carlo method; Photon; Work (physics); Physics; Programming language; Mathematics; Statistics; Optics; Set (abstract data type); Quantum mechanics","authors":[{"name":"D. W. O. Rogers","is_ca":false},{"name":"I. Kawrakow","is_ca":false},{"name":"Ernesto Mainegra‐Hing","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007776708315437742,"gpt":0.2848345312190826,"spread":0.2770578229036449,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002133807,0.001848698,0.002932072,0.005515867,0.001964804,0.003536814,0.003354039,0.005023435,0.7097657],"category_scores_gemma":[0.01209735,0.001132991,0.001366909,0.005292172,0.001200747,0.002322486,0.002814356,0.00252212,0.6182501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003918689,"about_ca_system_score_gemma":0.003733793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007826508,"about_ca_topic_score_gemma":0.01500003,"domain_scores_codex":[0.9959571,0.0005665839,0.0002793398,0.0003023637,0.002611603,0.0002829295],"domain_scores_gemma":[0.9861122,0.001487716,0.000510377,0.002947432,0.00845979,0.0004824202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003054924,0.00006164837,0.000484853,0.0007844033,0.00002515275,0.000106714,0.0001011121,0.002923874,0.005576072,0.01157486,0.8816468,0.09640905],"study_design_scores_gemma":[0.00007831977,0.00006403793,0.001952579,0.0003350737,0.0000301303,0.0003035464,0.00004818666,0.007458771,0.007564707,0.006099303,0.9759575,0.0001078596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.003420857,0.001261825,0.03018379,0.002244683,0.005893717,0.000866117,0.05827266,0.03073756,0.8671188],"genre_scores_gemma":[0.02381045,0.001503909,0.02785239,0.0008935202,0.00104278,0.001059393,0.04723834,0.01901327,0.8775858],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.7097657,"threshold_uncertainty_score":0.4139839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4288067830","doi":"10.3847/1538-4365/ac6fd9","title":"An overview of CHIME, the Canadian hydrogen intensity mapping experiment","year":2022,"lang":"en","type":"article","venue":"NPARC","topic":"Radio Astronomy Observations and Technology","field":"Physics and Astronomy","cited_by":150,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"Canadian Institute for Theoretical Astrophysics; Okanagan University College; University of British Columbia, Okanagan Campus; University of Toronto; Perimeter Institute; Thompson Rivers University; McGill University; University of British Columbia","funders":"Canada Foundation for Innovation; National Science Foundation","keywords":"Physics; Sky; LOFAR; Redshift; Flagging; Cosmology; Very-long-baseline interferometry; Astronomy; Intensity mapping; Astrophysics; Telescope; Radio telescope; Galaxy; Geography","authors":[{"name":"M. Amiri","is_ca":true},{"name":"Kevin Bandura","is_ca":false},{"name":"Anja Boskovic","is_ca":true},{"name":"Tianyue Chen","is_ca":false},{"name":"Jean-François Cliche","is_ca":true},{"name":"Meiling Deng","is_ca":true},{"name":"Nolan Denman","is_ca":true},{"name":"M. Dobbs","is_ca":true},{"name":"Mateus Fandino","is_ca":true},{"name":"Simon Foreman","is_ca":true},{"name":"M. Halpern","is_ca":true},{"name":"D. Hanna","is_ca":true},{"name":"Alex S. Hill","is_ca":true},{"name":"G. Hinshaw","is_ca":true},{"name":"C. Höfer","is_ca":true},{"name":"Joseph Kania","is_ca":false},{"name":"Peter Klages","is_ca":true},{"name":"T. L. Landecker","is_ca":false},{"name":"Joshua MacEachern","is_ca":true},{"name":"Kiyoshi W. Masui","is_ca":false},{"name":"Juan Mena-Parra","is_ca":false},{"name":"Nikola Milutinović","is_ca":true},{"name":"Arash Mirhosseini","is_ca":true},{"name":"Laura Newburgh","is_ca":false},{"name":"Rick Nitsche","is_ca":true},{"name":"Anna Ordog","is_ca":true},{"name":"Ue‐Li Pen","is_ca":true},{"name":"Tristan Pinsonneault-Marotte","is_ca":true},{"name":"Ava Polzin","is_ca":false},{"name":"Alex Reda","is_ca":false},{"name":"Andre Renard","is_ca":true},{"name":"J. Richard Shaw","is_ca":true},{"name":"Seth R. Siegel","is_ca":true},{"name":"Saurabh Singh","is_ca":true},{"name":"Rick J. Smegal","is_ca":true},{"name":"Ian Tretyakov","is_ca":true},{"name":"Kwinten Van Gassen","is_ca":true},{"name":"K. Vanderlinde","is_ca":true},{"name":"Haochen Wang","is_ca":false},{"name":"Donald Wiebe","is_ca":true},{"name":"James S. Willis","is_ca":true},{"name":"Dallas Wulf","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04036326531923524,"gpt":0.2629998966736947,"spread":0.2226366313544594,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00480208,0.001555337,0.0006118389,0.003722448,0.003920823,0.003793581,0.002747962,0.0009739969,0.01386912],"category_scores_gemma":[0.003879117,0.0006398192,0.0004031632,0.006810947,0.001256314,0.002244791,0.002645801,0.001560142,0.006020211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01725084,"about_ca_system_score_gemma":0.03814305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8979084,"about_ca_topic_score_gemma":0.9439925,"domain_scores_codex":[0.9963036,0.000220719,0.00006387108,0.0004625248,0.002442393,0.00050696],"domain_scores_gemma":[0.9954372,0.0001920769,0.0001183461,0.0003718742,0.003238043,0.0006424895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007775332,0.00033445,0.04079683,0.0008081439,0.000183218,0.000291135,0.0008351452,0.004694426,0.01697648,0.02020466,0.5761552,0.3379428],"study_design_scores_gemma":[0.00009691727,0.0001083386,0.05883589,0.0002568834,0.00006885866,0.0001704546,0.0003462654,0.004633742,0.003619226,0.002811834,0.9288598,0.0001917996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06126653,0.02138795,0.09327328,0.01560652,0.001313391,0.004704094,0.2620901,0.01879414,0.5215641],"genre_scores_gemma":[0.1762729,0.02165172,0.3383529,0.00538344,0.0005935404,0.002163631,0.3353562,0.004645028,0.1155806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1020916,"threshold_uncertainty_score":0.2053855,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6948018739","doi":"10.4224/21270984","title":"NRC emotion lexicon","year":2013,"lang":"en","type":"report","venue":"NPARC","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Lexicon; Annotation; Association (psychology); Semantics (computer science)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04036804708847639,"gpt":0.2692721171804883,"spread":0.2289040700920119,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013513,0.002167164,0.001246744,0.003893042,0.001209911,0.002580207,0.002075149,0.001365465,0.0746492],"category_scores_gemma":[0.005182171,0.0008190665,0.001030729,0.003963917,0.0005034723,0.002357316,0.002451553,0.002226333,0.08673076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836538,"about_ca_system_score_gemma":0.00335643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01328298,"about_ca_topic_score_gemma":0.01849134,"domain_scores_codex":[0.9985477,0.0002189074,0.0003216448,0.0003842181,0.0004252807,0.0001021248],"domain_scores_gemma":[0.9966341,0.0009466441,0.0001750642,0.0004878465,0.001590303,0.0001660552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002449096,0.00004735815,0.0007886682,0.001915774,0.00004169779,0.0002575846,0.0004083059,0.0005503644,0.006338097,0.007591038,0.9358895,0.0459266],"study_design_scores_gemma":[0.00007618768,0.00002017837,0.002887398,0.0001898339,0.00005709041,0.0004035832,0.0002192541,0.004027549,0.002893721,0.00402881,0.9851394,0.00005702212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004081963,0.0009460516,0.02940684,0.0008492447,0.0005440022,0.0005755464,0.8745757,0.0292222,0.05979832],"genre_scores_gemma":[0.01048917,0.0004800278,0.03476383,0.0004134538,0.00008872415,0.0009671745,0.9359636,0.004109637,0.01272443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0746492,"threshold_uncertainty_score":0.2497265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3100100687","doi":"10.4224/20386110","title":"Evaluating rooftop and vertical gardens as an adaptation strategy for urban areas","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Green roof; Stormwater; Urban heat island; Environmental science; Surface runoff; Roof; Green infrastructure; Vegetation (pathology); Hydrology (agriculture); Low-impact development; Environmental engineering; Flat roof; Drainage; Civil engineering; Meteorology; Geotechnical engineering; Geography; Engineering; Stormwater management; Ecology; Environmental resource management","authors":[{"name":"B. Bass","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05744112579197515,"gpt":0.3075254256515726,"spread":0.2500842998595975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001837602,0.0005112706,0.0004125281,0.0004109841,0.0005837418,0.0006852301,0.000728614,0.0005101222,0.002397239],"category_scores_gemma":[0.002931429,0.0001278127,0.0004113976,0.0006043115,0.0003389125,0.0006019432,0.0004885275,0.0003747074,0.0002323727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004922721,"about_ca_system_score_gemma":0.005116757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1027935,"about_ca_topic_score_gemma":0.2556537,"domain_scores_codex":[0.9989166,0.0004154225,0.00003629876,0.0001275265,0.0002662558,0.0002378295],"domain_scores_gemma":[0.9985679,0.0003977599,0.0001952362,0.00009427419,0.0003574725,0.0003873057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01813381,0.04330023,0.1877976,0.001421671,0.0007684204,0.000615216,0.004249499,0.1482264,0.07687458,0.004575389,0.002645419,0.5113917],"study_design_scores_gemma":[0.002972037,0.1152245,0.6842176,0.00013369,0.001329633,0.00009841584,0.0158383,0.1073152,0.04656832,0.002949487,0.02316873,0.0001841098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952078,0.00004066062,0.0006948468,0.00003622422,0.000005553803,0.0004974587,0.0001176385,0.00002560047,0.003374218],"genre_scores_gemma":[0.9925426,0.0001000133,0.004985554,0.00002443196,0.000002844326,0.0003839908,0.0002237597,0.00000578208,0.001730967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1027935,"threshold_uncertainty_score":0.2043903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2823189734","doi":"","title":"Indigenous language technologies in Canada: Assessment, challenges, and successes","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":123,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Carleton University; University of Alberta; University of British Columbia; University of Ottawa","funders":"","keywords":"Computer science; Indigenous language; Indigenous; Transliteration; Natural language processing; Spell; Character (mathematics); Artificial intelligence; Machine translation; Language translation; Speech recognition; Linguistics; Sociology","authors":[{"name":"Patrick Littell","is_ca":false},{"name":"Anna Kazantseva","is_ca":true},{"name":"Roland Kühn","is_ca":false},{"name":"Aidan Pine","is_ca":true},{"name":"Antti Arppe","is_ca":true},{"name":"Christopher Cox","is_ca":true},{"name":"Marie-Odile Junker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01281198790067665,"gpt":0.2685093541554958,"spread":0.2556973662548191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007010282,0.0006447558,0.0004566279,0.004170801,0.00799557,0.007412611,0.002110356,0.0009301153,0.002862976],"category_scores_gemma":[0.016222,0.0002728931,0.0003841229,0.00806174,0.003661767,0.003062382,0.003189962,0.001580568,0.0006311415],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07378538,"about_ca_system_score_gemma":0.1785731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9890674,"about_ca_topic_score_gemma":0.9920141,"domain_scores_codex":[0.9888114,0.0008846718,0.0003707627,0.0006562364,0.007183923,0.002093043],"domain_scores_gemma":[0.976442,0.002057806,0.0008117375,0.0003847525,0.0179422,0.00236155],"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":[0.000414933,0.000324813,0.1810807,0.002171136,0.0001154025,0.001247515,0.03340927,0.003150952,0.005344901,0.03724999,0.02293023,0.7125601],"study_design_scores_gemma":[0.00005314712,0.0006954984,0.4066942,0.002234574,0.000349921,0.001421368,0.1566804,0.00854468,0.01549278,0.005835776,0.4015778,0.0004198564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.734835,0.03419768,0.01023164,0.03450394,0.0004773049,0.0006640481,0.003837588,0.001305107,0.1799476],"genre_scores_gemma":[0.9323528,0.02550516,0.01351229,0.00157835,0.00006403408,0.0001440027,0.001957344,0.0001775775,0.02470851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9262146,"threshold_uncertainty_score":0.5353529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117339222","doi":"","title":"Transductive learning for statistical machine translation","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":120,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Simon Fraser University; National Research Council Canada","funders":"","keywords":"Machine translation; Computer science; NIST; Artificial intelligence; Natural language processing; Translation (biology); Strengths and weaknesses; Training set; Evaluation of machine translation; Machine translation software usability; Set (abstract data type); Quality (philosophy); Example-based machine translation; Machine learning","authors":[{"name":"Nicola Ueffing","is_ca":true},{"name":"Gholamreza Haffari","is_ca":true},{"name":"Anoop Sarkar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01672580944619226,"gpt":0.302467211369486,"spread":0.2857414019232937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003083661,0.00120657,0.001269926,0.001590856,0.0005815809,0.002055847,0.001496874,0.001397082,0.003527578],"category_scores_gemma":[0.01105311,0.0005153838,0.0009746036,0.002522498,0.001897406,0.002789018,0.001819243,0.003332482,0.002483329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457534,"about_ca_system_score_gemma":0.0007365689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009334374,"about_ca_topic_score_gemma":0.0008487122,"domain_scores_codex":[0.9972647,0.001590261,0.0001408282,0.0004152795,0.000521943,0.00006697878],"domain_scores_gemma":[0.9932013,0.00518146,0.0003065688,0.0008263674,0.0004235623,0.00006079521],"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":[0.0001423029,0.0002000129,0.0007757171,0.0009002562,0.0002762399,0.0002468281,0.0003268379,0.2577559,0.004537883,0.281973,0.01407773,0.4387873],"study_design_scores_gemma":[0.00001378622,0.00004482319,0.0001976972,0.00004066571,0.00001795184,0.00005396134,0.00002304864,0.6443999,0.001270181,0.3475408,0.006371995,0.00002508679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001646005,0.002073002,0.9926696,0.0005056466,0.0001041468,0.00006091642,0.0001335688,0.0007094001,0.002097595],"genre_scores_gemma":[0.287248,0.006303316,0.6939541,0.0008654317,0.001247811,0.001088615,0.001736206,0.0005497981,0.007006825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003527578,"threshold_uncertainty_score":0.01630813,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2950824039","doi":"","title":"The Latent Relation Mapping Engine: Algorithm and Experiments","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Topic Modeling","field":"Computer Science","cited_by":107,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Analogy; Computer science; Relation (database); Set (abstract data type); Latent semantic analysis; Variety (cybernetics); Core (optical fiber); Natural language processing; Artificial intelligence; Theoretical computer science; Algorithm; Data mining; Linguistics; Programming language","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03261312016989285,"gpt":0.2335917505973968,"spread":0.200978630427504,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006044439,0.001501526,0.001536006,0.00135404,0.0008680579,0.001485748,0.003141651,0.003058762,0.008462623],"category_scores_gemma":[0.02924441,0.0006094255,0.0007098185,0.002468473,0.0006949006,0.004675689,0.001745088,0.002143174,0.002567392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001434117,"about_ca_system_score_gemma":0.002028707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126459,"about_ca_topic_score_gemma":0.008168401,"domain_scores_codex":[0.9972071,0.001199838,0.0002413668,0.0005853459,0.0005611234,0.0002053079],"domain_scores_gemma":[0.9783294,0.01745503,0.0002997363,0.001958013,0.001653619,0.0003041724],"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":[0.003662489,0.004869542,0.009009195,0.001267801,0.0004356734,0.0002977168,0.0006396157,0.2353271,0.00547026,0.01041724,0.03034404,0.6982592],"study_design_scores_gemma":[0.0007931177,0.0003349707,0.001221203,0.00004058693,0.00007632814,0.00008318237,0.0001759136,0.9834501,0.003808638,0.007282637,0.002703078,0.00003027906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5781758,0.004562503,0.3543807,0.002219222,0.0005635276,0.002873377,0.003789506,0.02733284,0.02610243],"genre_scores_gemma":[0.5181389,0.0007618712,0.470135,0.0004229549,0.00007542816,0.001705712,0.004170928,0.0009301207,0.003659049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126459,"threshold_uncertainty_score":0.03196639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7048582005","doi":"","title":"Learning networks in practice","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":103,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01073778654710982,"gpt":0.3042612120341699,"spread":0.2935234254870601,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003185787,0.0004618902,0.0005027676,0.0008365258,0.0008377235,0.002976882,0.0007688815,0.001860866,0.08458956],"category_scores_gemma":[0.02180352,0.0003445136,0.0003239265,0.001131987,0.001614363,0.005580026,0.001839792,0.002736066,0.01629382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360461,"about_ca_system_score_gemma":0.001222406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285911,"about_ca_topic_score_gemma":0.003543711,"domain_scores_codex":[0.9988346,0.000469385,0.00005071897,0.0002994988,0.000274879,0.00007089094],"domain_scores_gemma":[0.9899104,0.006921504,0.0002176579,0.001326159,0.001195067,0.0004292144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008730737,0.0001477125,0.00188755,0.000268232,0.00004828685,0.00006685577,0.0002729126,0.01393324,0.000361766,0.3004031,0.2176052,0.4649179],"study_design_scores_gemma":[0.00004473518,0.0000525849,0.0009913095,0.0002964154,0.00002647301,0.00009290381,0.0002542711,0.06121976,0.000767755,0.6745433,0.2616937,0.00001683066],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01968867,0.008143227,0.2880144,0.1003789,0.004563112,0.0001233645,0.001301085,0.00183749,0.5759498],"genre_scores_gemma":[0.4017079,0.008327012,0.1150411,0.004164117,0.003294322,0.0003518886,0.002202203,0.0007968413,0.4641147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08458956,"threshold_uncertainty_score":0.2829803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2250616809","doi":"","title":"Paraphrasing for Style","year":2012,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Paraphrase; Style (visual arts); Computer science; Task (project management); Natural language processing; Writing style; Artificial intelligence; Testbed; Domain (mathematical analysis); Linguistics; World Wide Web; Literature; Art; Philosophy","authors":[{"name":"Wei Xu","is_ca":false},{"name":"Alan Ritter","is_ca":false},{"name":"Bill Dolan","is_ca":false},{"name":"Ralph Grishman","is_ca":false},{"name":"Colin Cherry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01955040338063642,"gpt":0.2919397236514523,"spread":0.2723893202708159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001644972,0.0009777159,0.0006096727,0.001913548,0.0005281646,0.002031675,0.001081431,0.0007675268,0.01352123],"category_scores_gemma":[0.01483523,0.0002439198,0.0007716637,0.001812359,0.0005511884,0.003862984,0.001582518,0.001673127,0.007054086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887426,"about_ca_system_score_gemma":0.0005425975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005861296,"about_ca_topic_score_gemma":0.00123676,"domain_scores_codex":[0.9974533,0.0008725878,0.0002367992,0.0007199585,0.0006251758,0.00009218495],"domain_scores_gemma":[0.9886091,0.004519664,0.0008666077,0.003914949,0.001896706,0.0001930435],"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":[0.0003204961,0.0002856542,0.004505078,0.001073838,0.0001235743,0.0002659526,0.0009732355,0.005664065,0.07294145,0.017744,0.02649784,0.8696048],"study_design_scores_gemma":[0.0001259762,0.001443628,0.0244756,0.0004659945,0.0003218041,0.004630585,0.001650352,0.4919774,0.1854513,0.09841868,0.1908205,0.0002183173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1110471,0.002412131,0.8112314,0.001710842,0.0004605639,0.0008829281,0.008564486,0.0157011,0.04798948],"genre_scores_gemma":[0.5070611,0.000846389,0.4671553,0.0005399045,0.0002156999,0.0003394558,0.008667965,0.001110082,0.01406398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01352123,"threshold_uncertainty_score":0.04523301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6929330257","doi":"10.4224/40001303","title":"EGSnrc: software for Monte Carlo simulation of ionizing radiation","year":2021,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Ionizing radiation; Electron; Software; Charged particle; Radiation; Homogeneous; Gamma ray","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02967684306540107,"gpt":0.2929061022057358,"spread":0.2632292591403347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001044475,0.001543648,0.001327649,0.001238121,0.0007033086,0.001521948,0.00311102,0.001790486,0.04961679],"category_scores_gemma":[0.002638673,0.0009760202,0.00129836,0.0020067,0.0004443573,0.001496391,0.001295222,0.002023993,0.03660452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001450205,"about_ca_system_score_gemma":0.002059796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01405359,"about_ca_topic_score_gemma":0.01298946,"domain_scores_codex":[0.9991417,0.0001692298,0.00005282367,0.00008054708,0.0004809893,0.00007475228],"domain_scores_gemma":[0.9991531,0.0002828328,0.00004659499,0.000104906,0.0003698717,0.0000427746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002383122,0.00009140114,0.001058672,0.00113815,0.0001919128,0.000336158,0.000205301,0.191475,0.007305282,0.04784317,0.6478279,0.1022887],"study_design_scores_gemma":[0.0001200828,0.00003770522,0.0004551676,0.000154894,0.00005446743,0.0002329304,0.00003190152,0.2355205,0.01426329,0.0174042,0.731612,0.000112749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005146699,0.002930505,0.6507652,0.0007211675,0.0005264146,0.0004406134,0.06261044,0.1571733,0.1196857],"genre_scores_gemma":[0.07811561,0.004216215,0.5886351,0.001731857,0.0002307389,0.002373282,0.1339023,0.1042763,0.08651857],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04961679,"threshold_uncertainty_score":0.1659847,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2097370999","doi":"","title":"Cloud Computing and Creativity: Learning on a Massive Open Online Course","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Creativity; Cloud computing; Computer science; Collaborative learning; Open learning; Knowledge management; Online learning; Psychology; Massive open online course; Mathematics education; Multimedia; World Wide Web; Cooperative learning; Teaching method; Social psychology","authors":[{"name":"Rita Kop","is_ca":false},{"name":"Fiona Carroll","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1037849056396121,"gpt":0.4050379086921101,"spread":0.301253003052498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001726585,0.000251284,0.0002304447,0.0005328407,0.005358198,0.006419143,0.0009121529,0.0009477477,0.003819148],"category_scores_gemma":[0.004700404,0.0001141007,0.0002834128,0.0006365221,0.003042408,0.00334788,0.003924728,0.001569751,0.0004758166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532507,"about_ca_system_score_gemma":0.001387373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763376,"about_ca_topic_score_gemma":0.003875034,"domain_scores_codex":[0.9985977,0.0007833937,0.00002520394,0.0001162889,0.0002306127,0.0002467546],"domain_scores_gemma":[0.9965957,0.001803997,0.0001959018,0.0001586697,0.0001098478,0.001135877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001112743,0.007463713,0.07168686,0.0005618799,0.00007055606,0.007823378,0.5487058,0.002799611,0.01256871,0.09499653,0.02071454,0.2314957],"study_design_scores_gemma":[0.0003370444,0.002351481,0.08048093,0.0004998954,0.00006422529,0.004559844,0.6078648,0.0127445,0.008575005,0.07220073,0.210054,0.0002676276],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684332,0.0001331482,0.002527053,0.003143182,0.00006006305,0.00008522999,0.00003218287,0.00002391197,0.02556207],"genre_scores_gemma":[0.9904937,0.0002180494,0.002899506,0.0004412935,0.0000490822,0.00004063985,0.00002403092,0.000019509,0.00581418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006419143,"threshold_uncertainty_score":0.01277632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131970932","doi":"","title":"SHREC 15 Track Non rigid 3D Shape Retrieval","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Polygon mesh; Computer science; Benchmark (surveying); Object (grammar); Matching (statistics); Track (disk drive); Computer vision; CONTEST; Artificial intelligence; Information retrieval; Mathematics; Computer graphics (images); Geology","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01369679505286773,"gpt":0.2545307801711373,"spread":0.2408339851182696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007974445,0.003854143,0.004213601,0.003750137,0.001711049,0.002716144,0.006078145,0.004074262,0.01368641],"category_scores_gemma":[0.007962861,0.0008366478,0.002693393,0.002720885,0.001190537,0.002991752,0.002468718,0.002361662,0.01227444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002243605,"about_ca_system_score_gemma":0.001895098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106469,"about_ca_topic_score_gemma":0.02809396,"domain_scores_codex":[0.9943158,0.0007406386,0.0002545179,0.0009907169,0.003158098,0.0005403536],"domain_scores_gemma":[0.9920083,0.001077685,0.0001936498,0.002430207,0.003442548,0.0008475087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001900145,0.001967364,0.001862038,0.001273695,0.0007079829,0.0004242939,0.0001243299,0.01784446,0.04360978,0.002940861,0.523835,0.4035101],"study_design_scores_gemma":[0.001998155,0.008431173,0.01832631,0.0001635526,0.0004393079,0.002590703,0.0005973801,0.4580262,0.2024184,0.005844237,0.3008447,0.0003198344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3204269,0.01554972,0.305761,0.003593317,0.009995879,0.009820719,0.09804937,0.1472851,0.08951806],"genre_scores_gemma":[0.2044006,0.002121815,0.3170404,0.0009778736,0.0007107387,0.001316372,0.3663205,0.006017867,0.1010938],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02106469,"threshold_uncertainty_score":0.04578561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2593472214","doi":"","title":"Acquisizione 3D e modellazione poligonale","year":2010,"lang":"it","type":"book","venue":"NPARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science","authors":[{"name":"Gabriele Guidi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02206634462741856,"gpt":0.2139889096516976,"spread":0.191922565024279,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004185206,0.001638875,0.0009728767,0.001883656,0.001404644,0.01070137,0.001713314,0.002048829,0.04673606],"category_scores_gemma":[0.01277044,0.00142485,0.002327511,0.001765386,0.002405145,0.005585362,0.006800543,0.002710293,0.01068215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404547,"about_ca_system_score_gemma":0.003086942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007605919,"about_ca_topic_score_gemma":0.008614765,"domain_scores_codex":[0.9961413,0.001041526,0.0002563904,0.0007252408,0.001658077,0.0001775221],"domain_scores_gemma":[0.9942273,0.002431965,0.0002395951,0.001929626,0.001045802,0.0001256624],"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":[0.000385664,0.0002300298,0.005557568,0.001911007,0.000256663,0.000608916,0.006243306,0.03597179,0.04472716,0.2416275,0.04901472,0.6134657],"study_design_scores_gemma":[0.0000907944,0.0003520441,0.00538907,0.001001681,0.0002401685,0.0009322673,0.003122978,0.1646109,0.03691604,0.1433051,0.6437245,0.0003145514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008635989,0.0006597714,0.9451345,0.002122544,0.0004337786,0.000434746,0.00116695,0.004120481,0.03729134],"genre_scores_gemma":[0.1639715,0.002036797,0.7859786,0.001761903,0.000180776,0.001292399,0.002776849,0.0029235,0.03907769],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04673606,"threshold_uncertainty_score":0.1563477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7058327496","doi":"","title":"New dimensions to self-directed learning in an open networked learning environment","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Networked learning; Agency (philosophy); Autonomy; Synchronous learning; Educational technology; Online learning; Social media; Open learning; Active learning (machine learning); Experiential learning","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01139792507820601,"gpt":0.2658436841174789,"spread":0.2544457590392729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007559327,0.0004936165,0.0003474534,0.002088818,0.003025488,0.01258987,0.001143422,0.001549173,0.002644301],"category_scores_gemma":[0.007732486,0.0003127047,0.0006025204,0.001374481,0.03172286,0.01618736,0.009594401,0.004769384,0.00017942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004541487,"about_ca_system_score_gemma":0.003273494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888927,"about_ca_topic_score_gemma":0.002526701,"domain_scores_codex":[0.9887476,0.006863572,0.0003997772,0.000954223,0.002317791,0.0007170005],"domain_scores_gemma":[0.9878226,0.005470987,0.001319829,0.001451369,0.001219716,0.002715535],"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":[0.00004336059,0.0001913905,0.007274744,0.0001691921,0.00003010681,0.000149133,0.07917868,0.001213098,0.0005360288,0.8803634,0.001026636,0.02982413],"study_design_scores_gemma":[0.00004624932,0.0001947578,0.009084267,0.000214281,0.00002329568,0.0003987993,0.04366651,0.005309335,0.0004090418,0.8649499,0.07561429,0.00008920633],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4169456,0.004051223,0.1814188,0.02972234,0.0004606826,0.0004156594,0.0001210035,0.0002498843,0.3666149],"genre_scores_gemma":[0.9776121,0.0006880187,0.01770468,0.0004360926,0.0000831393,0.0001541763,0.00003210968,0.00002401256,0.003265731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01258987,"threshold_uncertainty_score":0.03997803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2571368214","doi":"10.4224/23000318","title":"Rolling contact fatigue: a comprehensive review","year":2011,"lang":"en","type":"review","venue":"NPARC","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science","authors":[{"name":"Eric Magel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07163169023135098,"gpt":0.2978719972501294,"spread":0.2262403070187784,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152902,0.0009885154,0.00187088,0.006433888,0.000431547,0.001904628,0.001548412,0.001206903,0.009432507],"category_scores_gemma":[0.003628009,0.0004543183,0.001686199,0.006283078,0.0004406997,0.002161189,0.0009193005,0.001183679,0.002269758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008886742,"about_ca_system_score_gemma":0.004835219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002863402,"about_ca_topic_score_gemma":0.005361196,"domain_scores_codex":[0.999435,0.00009416143,0.0001491654,0.0001014577,0.0001764953,0.00004379235],"domain_scores_gemma":[0.9977043,0.001154205,0.0003948251,0.00005421796,0.0005770255,0.000115339],"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":[0.0001499371,0.0001058283,0.0006072529,0.2057399,0.000456255,0.000265059,0.0001964804,0.0004342844,0.0008905546,0.002159419,0.04852413,0.7404709],"study_design_scores_gemma":[0.00002690374,0.000177997,0.00233851,0.06681156,0.001316895,0.001041897,0.0001732659,0.000106243,0.0003455944,0.001183267,0.9264375,0.00004038961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001335455,0.9986429,0.00009749632,0.0002341062,0.0001333976,0.00001519379,0.00009650493,0.000009668377,0.0006371282],"genre_scores_gemma":[0.0006823327,0.998486,0.0001813268,0.00016805,0.0001037327,0.00001597015,0.0001081343,0.000002266058,0.0002522268],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009432507,"threshold_uncertainty_score":0.03155482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2950982165","doi":"","title":"Coherent Keyphrase Extraction via Web Mining","year":2003,"lang":"en","type":"preprint","venue":"NPARC","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Information retrieval; Task (project management); Cluster analysis; Search engine indexing; Natural language processing; Artificial intelligence","authors":[{"name":"Peter D. Turney","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02164678121118828,"gpt":0.3037006518615237,"spread":0.2820538706503354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001854458,0.001757103,0.001325236,0.01169834,0.001288181,0.003326512,0.002126666,0.001529108,0.00597153],"category_scores_gemma":[0.01141131,0.0009180094,0.001944947,0.009417628,0.0007931869,0.005210042,0.002621494,0.001507844,0.00962709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008847492,"about_ca_system_score_gemma":0.002123325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290203,"about_ca_topic_score_gemma":0.004575515,"domain_scores_codex":[0.9970384,0.0004223253,0.0003738699,0.0009199655,0.001016067,0.0002293082],"domain_scores_gemma":[0.994712,0.001847965,0.000599151,0.001167812,0.001508159,0.0001648586],"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":[0.0003318055,0.0002762333,0.003355279,0.0009397077,0.0001597118,0.0007349236,0.0004388819,0.006327135,0.04020915,0.009238003,0.02101937,0.9169698],"study_design_scores_gemma":[0.0002199072,0.0003392743,0.007722676,0.0003499089,0.0003281633,0.002740883,0.001393315,0.5796871,0.1502817,0.09044608,0.1662429,0.0002481805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02293778,0.001704233,0.9441935,0.0004324813,0.0001625078,0.0006867388,0.00344832,0.02171515,0.004719351],"genre_scores_gemma":[0.09711329,0.001034021,0.8848361,0.0001930408,0.0001350487,0.000315903,0.01026113,0.0009857817,0.005125626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01169834,"threshold_uncertainty_score":0.01997674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1494152709","doi":"","title":"Game-based trench safety education: development and lessons learned","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Serious game; Engineering; Multimedia; Business; Psychology; Medical education; Engineering management; Computer science; Medicine","authors":[{"name":"John Dickinson","is_ca":false},{"name":"Paul Woodard","is_ca":false},{"name":"Roberto Canas","is_ca":false},{"name":"Shafee Ahamed","is_ca":false},{"name":"Doug Lockston","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2508782325557226,"gpt":0.4884067757779614,"spread":0.2375285432222389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002408723,0.001168762,0.0004514709,0.001313508,0.0005277389,0.002231833,0.002949331,0.001235709,0.002361251],"category_scores_gemma":[0.004939384,0.0004575928,0.0004274012,0.0005588346,0.0008925034,0.001605573,0.002179263,0.00126077,0.0007108191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262926,"about_ca_system_score_gemma":0.00219722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003288198,"about_ca_topic_score_gemma":0.009479479,"domain_scores_codex":[0.9986719,0.0005469207,0.00007948502,0.0001447648,0.0003873271,0.0001696764],"domain_scores_gemma":[0.9979445,0.0008862397,0.00007351689,0.0001527633,0.0004584773,0.0004844361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001143286,0.004912561,0.008144718,0.00143493,0.00004848775,0.001205591,0.01612446,0.00540822,0.0122492,0.006755103,0.007791855,0.9358105],"study_design_scores_gemma":[0.000595633,0.01293019,0.07383167,0.007129395,0.0003168218,0.01022251,0.06205129,0.05118801,0.09039801,0.02042872,0.6704887,0.0004189641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7102538,0.004956018,0.1908355,0.005612782,0.0005358774,0.005428541,0.0004096152,0.002524552,0.07944328],"genre_scores_gemma":[0.4998801,0.009747946,0.4497049,0.0008186391,0.0001004038,0.002015576,0.0007638753,0.0003706563,0.03659787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003288198,"threshold_uncertainty_score":0.0127387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3099883129","doi":"","title":"Generating Extractive Summaries of Scientific Paradigms","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Topic Modeling","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Automatic summarization; Computer science; Information retrieval; Salient; Set (abstract data type); Citation; Dependency (UML); Data science; Cover (algebra); Parsing; Natural language processing; World Wide Web; Artificial intelligence","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.0264760757843313,"gpt":0.2415757040701654,"spread":0.2150996282858341,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001792923,0.001564854,0.0006629245,0.004042278,0.0007114941,0.002045682,0.001003714,0.001009419,0.003536207],"category_scores_gemma":[0.01592901,0.0005640599,0.0007996476,0.00329468,0.000305946,0.001964982,0.001280203,0.0009243049,0.002424133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000663847,"about_ca_system_score_gemma":0.001205525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230056,"about_ca_topic_score_gemma":0.002545942,"domain_scores_codex":[0.9986399,0.0004496303,0.0001817253,0.0002524707,0.000425958,0.0000503937],"domain_scores_gemma":[0.9909477,0.00496995,0.0009712383,0.0009285483,0.002024682,0.0001579546],"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":[0.0004533346,0.0002945837,0.006477597,0.002248561,0.000266875,0.001441002,0.002864535,0.06642184,0.0671465,0.02835306,0.05170217,0.7723299],"study_design_scores_gemma":[0.0001810458,0.0005706165,0.006879939,0.0003243042,0.0005019495,0.0009596605,0.001407062,0.6669202,0.1124574,0.06616801,0.1434783,0.0001515406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08432917,0.001757074,0.8693856,0.001388341,0.0004085278,0.0007391813,0.01675417,0.01758541,0.007652449],"genre_scores_gemma":[0.1814912,0.001248616,0.7802001,0.0001326731,0.0003228092,0.0006452771,0.03092112,0.0009935892,0.004044717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004042278,"threshold_uncertainty_score":0.01182973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W21337280","doi":"","title":"Adaptive Language and Translation Models for Interactive Machine Translation.","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Perplexity; Machine translation; Translation (biology); Natural language processing; Transfer-based machine translation; Artificial intelligence; Machine translation software usability; Example-based machine translation; Computer-assisted translation; Context (archaeology); Language model; Dynamic and formal equivalence","authors":[{"name":"Laurent Nepveu","is_ca":false},{"name":"Guy Lapalme","is_ca":false},{"name":"George Foster","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0240785341893547,"gpt":0.2839559028019245,"spread":0.2598773686125698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003013052,0.0008517446,0.0006364305,0.0005305537,0.0006767155,0.00139568,0.001906458,0.00172968,0.008321467],"category_scores_gemma":[0.01214473,0.0005953835,0.001047206,0.0008183363,0.0009666774,0.003767707,0.001216015,0.002428911,0.003589413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00108685,"about_ca_system_score_gemma":0.001061403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003709001,"about_ca_topic_score_gemma":0.004683821,"domain_scores_codex":[0.9970685,0.001861591,0.0001128026,0.0003859546,0.0004877986,0.00008346356],"domain_scores_gemma":[0.9940851,0.004158995,0.0002125855,0.001076293,0.0003607777,0.0001062795],"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":[0.000981641,0.0005758069,0.001885126,0.0007009982,0.0004643261,0.0005059591,0.001132245,0.4149265,0.02431238,0.1493404,0.01992978,0.3852448],"study_design_scores_gemma":[0.00005037675,0.0001153902,0.000248609,0.00002624529,0.00005450091,0.0002111058,0.00005481575,0.9281447,0.005016057,0.05168545,0.0143543,0.00003850206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007284907,0.0004490282,0.9836986,0.0004753281,0.00009042295,0.0001556411,0.0001859264,0.004071519,0.003588632],"genre_scores_gemma":[0.2384243,0.0006937689,0.7521799,0.0003347856,0.0001252738,0.0009323514,0.00130567,0.0006905171,0.005313417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008321467,"threshold_uncertainty_score":0.02783805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2162853676","doi":"","title":"The Unexpected Connection: Serendipity and Human Mediation in Networked Learning","year":2012,"lang":"en","type":"article","venue":"NPARC","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Serendipity; RSS; Computer science; Mediation; Context (archaeology); World Wide Web; Educational technology; Knowledge management; Information literacy; Psychology; Sociology; Pedagogy","authors":[{"name":"Rita Kop","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.021182310548984,"gpt":0.2551145278428979,"spread":0.2339322172939139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006515909,0.0004838131,0.0003482706,0.001697327,0.004177342,0.00906786,0.001362987,0.002762481,0.006207254],"category_scores_gemma":[0.02174961,0.0003666324,0.0004243888,0.0008151717,0.02486553,0.01092313,0.01216352,0.002725136,0.0004757284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001130395,"about_ca_system_score_gemma":0.001463773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008313793,"about_ca_topic_score_gemma":0.001000025,"domain_scores_codex":[0.9899502,0.007514513,0.000206118,0.0008949144,0.0008870026,0.0005472706],"domain_scores_gemma":[0.9795011,0.01376054,0.0021959,0.002383017,0.0006706309,0.001488878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001671172,0.0001265529,0.0165767,0.0003324893,0.00007975793,0.0022912,0.1375252,0.001737689,0.002309324,0.7569017,0.0027488,0.07920342],"study_design_scores_gemma":[0.00006021359,0.0003090838,0.007898927,0.0005627481,0.00009476325,0.002857024,0.09227356,0.005852954,0.002347053,0.7755522,0.1120736,0.0001179979],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4117044,0.005250238,0.1692131,0.03528741,0.0007924963,0.0002002359,0.00007031459,0.0004380919,0.3770438],"genre_scores_gemma":[0.9904901,0.0004389387,0.004734134,0.0004194632,0.0001096434,0.00005111653,0.000009254572,0.00002315081,0.003724228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00906786,"threshold_uncertainty_score":0.03445983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023245167","doi":"10.48550/arxiv.1307.8130","title":"The DiskMass Survey. VI. Gas and stellar kinematics in spiral galaxies from PPak integral-field spectroscopy","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Herzberg Institute of Astrophysics","funders":"Office of International Science and Engineering; Leids Kerkhoven-Bosscha Fonds; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Aeronautics and Space Administration; National Science Foundation","keywords":"Physics; Astrophysics; Galaxy rotation curve; Galaxy; Spiral galaxy; Stellar kinematics; Velocity dispersion; Tully–Fisher relation; Luminosity; Stellar mass; Rotation (mathematics); Astronomy; Milky Way; Galaxy formation and evolution; Star formation; Geometry","authors":[{"name":"Thomas P. K. Martinsson","is_ca":false},{"name":"Marc Verheijen","is_ca":false},{"name":"Kyle B. Westfall","is_ca":false},{"name":"Matthew A. Bershady","is_ca":false},{"name":"Andrew Schechtman-Rook","is_ca":false},{"name":"David R. Andersen","is_ca":true},{"name":"R. A. Swaters","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008085206484410747,"gpt":0.2159745864478503,"spread":0.2078893799634395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002860713,0.0004610936,0.0002352652,0.003278056,0.0002784995,0.0006342337,0.0004190867,0.0001763813,0.007647919],"category_scores_gemma":[0.0004840781,0.0002029643,0.0001514381,0.002409067,0.0001060628,0.0004379961,0.0007938668,0.0002354261,0.008192945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003831422,"about_ca_system_score_gemma":0.0002913692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104778,"about_ca_topic_score_gemma":0.01855419,"domain_scores_codex":[0.9998301,0.00001191751,0.00001895849,0.00004467569,0.00005676479,0.00003757394],"domain_scores_gemma":[0.999531,0.00001809746,0.0001277282,0.00009146896,0.0001138136,0.0001179071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004795386,0.000113574,0.7497674,0.0004527978,0.000130718,0.0003428443,0.0005568602,0.0003867393,0.01527157,0.001194293,0.08312351,0.1481802],"study_design_scores_gemma":[0.00003383636,0.00005177064,0.9133119,0.00004071969,0.00003666638,0.0003899871,0.0001514512,0.0003770835,0.001285666,0.0002329393,0.08408061,0.00000732843],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6201167,0.002387943,0.002652803,0.0003041645,0.00006699664,0.0002382724,0.323597,0.001893254,0.04874289],"genre_scores_gemma":[0.5015685,0.001875149,0.007685744,0.0001728565,0.00009771719,0.0002127617,0.4648427,0.0002972093,0.02324728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0104778,"threshold_uncertainty_score":0.02558488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110477067","doi":"10.48550/arxiv.astro-ph/0310166","title":"Astrochemistry of Sub-Millimeter Sources in Orion: Studying the Variations of Molecular Tracers with Changing Physical Conditions","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada; University of Victoria; Herzberg Institute of Astrophysics","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Physics; Astrochemistry; Molecular cloud; Astrophysics; Millimeter; Photodissociation; Abundance (ecology); Line (geometry); Protostar; Interstellar cloud; Star formation; Submillimeter Array; Interstellar medium; Stars; Galaxy; Chemistry","authors":[{"name":"Doug Johnstone","is_ca":true},{"name":"A. M. S. Boonman","is_ca":false},{"name":"E. F. van Dishoeck","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007716942831313645,"gpt":0.2226862415518922,"spread":0.2149692987205786,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236591,0.0001685251,0.0002130551,0.0006765098,0.0002928916,0.0003711,0.000259751,0.0002816216,0.0004795095],"category_scores_gemma":[0.0003514723,0.0001598781,0.0001249614,0.0005487169,0.0001979025,0.0002605066,0.0003655789,0.000226257,0.0001406495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000363039,"about_ca_system_score_gemma":0.000133026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005619935,"about_ca_topic_score_gemma":0.007855134,"domain_scores_codex":[0.9999381,0.000005590609,0.000002212811,0.00002089366,0.0000159528,0.00001717237],"domain_scores_gemma":[0.9997639,0.00003571941,0.00009889598,0.00001412995,0.00003778414,0.0000495343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000224191,0.00003781445,0.832586,0.00002287064,0.00005238478,0.0004228185,0.0007452756,0.0004311229,0.1590772,0.00009991049,0.00005796421,0.006242498],"study_design_scores_gemma":[0.000002347934,0.00003171894,0.9955187,0.000001680029,0.000007561579,0.0000942369,0.0001340509,0.0005875761,0.003412406,0.00002061481,0.0001858675,0.000003199253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999675,0.00003169886,0.00009297196,0.000006616814,6.110266e-7,0.000001696099,0.00004239337,0.000004468361,0.000144521],"genre_scores_gemma":[0.99938,0.00003533187,0.0002749289,0.000005943722,0.000002075617,0.000003561976,0.0001757313,0.000003880352,0.0001185402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005619935,"threshold_uncertainty_score":0.01117444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063385223","doi":"10.1051/0004-6361/201219423","title":"Ionisation impact of high-mass stars on interstellar filaments A Herschel study of the RCW36 bipolar nebula in Vela C","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Astrophysics and Star Formation Studies","field":"Physics and Astronomy","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Stars; Physics; Molecular cloud; Astrophysics; Star formation; Context (archaeology); Astronomy; Observatory; Interstellar medium; Galaxy; Geology","authors":[{"name":"V. Minier","is_ca":false},{"name":"N. Lo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01047953169867174,"gpt":0.2467779332072519,"spread":0.2362984015085801,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001108684,0.0001180633,0.0001754619,0.0004695358,0.0005842894,0.0007093867,0.0002475117,0.000337472,0.002796602],"category_scores_gemma":[0.0002227007,0.00007861049,0.000133925,0.0003625104,0.0003412929,0.0002652829,0.0005762664,0.0001908736,0.0003334726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008647927,"about_ca_system_score_gemma":0.0002343958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02817962,"about_ca_topic_score_gemma":0.03143492,"domain_scores_codex":[0.9999374,0.000005385783,0.000001965221,0.00001755248,0.0000129393,0.00002473682],"domain_scores_gemma":[0.999939,0.00001126435,0.00001245082,0.000004056009,0.00001585323,0.00001746988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001308431,0.0001887367,0.5566883,0.0001083405,0.0001764511,0.003347864,0.002107669,0.009006668,0.4035901,0.001821319,0.00165052,0.0200055],"study_design_scores_gemma":[0.00003328613,0.00006030254,0.9872087,0.00001132474,0.00002509875,0.0001735125,0.0009967153,0.002238421,0.00621104,0.0002221172,0.002809644,0.000009953455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958174,0.0001218089,0.00003759711,0.00004492448,0.000002709631,0.000003499722,0.0001718984,0.000007824846,0.003792281],"genre_scores_gemma":[0.9979115,0.00008435453,0.0000478245,0.00002114153,0.000003122346,0.000002464433,0.000173337,0.000006772336,0.001749554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02817962,"threshold_uncertainty_score":0.05603117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1592462594","doi":"","title":"The acoustical design of conventional open plan offices","year":2003,"lang":"en","type":"article","venue":"NPARC","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Public Works and Government Services Canada; Natural Resources Canada; Steelcase","keywords":"Open plan; Ceiling (cloud); Plan (archaeology); Acoustics; Computer science; Etiquette; Workstation; Engineering; Telecommunications; Architectural engineering; Civil engineering; Structural engineering; Geography; Physics","authors":[{"name":"John Bradley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05589662102609288,"gpt":0.3099378647087317,"spread":0.2540412436826389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004395761,0.0004238981,0.0002967307,0.0003116136,0.0005145923,0.001637309,0.0009701475,0.0006821917,0.003794047],"category_scores_gemma":[0.001148508,0.000541158,0.0002828443,0.0002891959,0.001064926,0.0009676597,0.0007817873,0.0004658676,0.0005725446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431319,"about_ca_system_score_gemma":0.001040895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004770873,"about_ca_topic_score_gemma":0.004585311,"domain_scores_codex":[0.9992598,0.0001938267,0.00001574508,0.0001251195,0.0003101805,0.00009540204],"domain_scores_gemma":[0.9996675,0.0001533675,0.00005929739,0.00003257463,0.00005729569,0.00002988869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004157809,0.0002106452,0.006374052,0.0001706248,0.00002487933,0.0005140682,0.0009161311,0.8231652,0.04043795,0.07067008,0.001084163,0.05601641],"study_design_scores_gemma":[0.00006795934,0.0002959686,0.005858928,0.00002978847,0.00002780046,0.0001955099,0.0006387971,0.96632,0.00653764,0.01334945,0.006620131,0.0000579921],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4174217,0.0002911899,0.5279963,0.0002626781,0.00007195013,0.0001417469,0.0001286479,0.00053243,0.05315343],"genre_scores_gemma":[0.9686502,0.0001555039,0.02162868,0.00002163945,0.00001689682,0.00007524899,0.00002724621,0.0000432502,0.009381453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004770873,"threshold_uncertainty_score":0.01269233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1590893294","doi":"","title":"Wiki as a Tool for Web-based Collaborative Story Telling in Primary School: a Case Study","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"World Wide Web; Story telling; Web application; Computer science; Multimedia; Pedagogy; Sociology; Narrative; Art; Literature","authors":[{"name":"Alain Désilets","is_ca":true},{"name":"Sébastien Paquet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04430238782145486,"gpt":0.3882333528639438,"spread":0.343930965042489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003336686,0.0007721297,0.0007570015,0.001924828,0.009862426,0.003951582,0.002201709,0.004006482,0.002424393],"category_scores_gemma":[0.008697868,0.0006232974,0.0006180627,0.001850689,0.003296606,0.002927554,0.002864127,0.002314992,0.0009677108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002595606,"about_ca_system_score_gemma":0.001607885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008862064,"about_ca_topic_score_gemma":0.02666268,"domain_scores_codex":[0.9961271,0.002443391,0.0001860054,0.0003265395,0.0004062002,0.0005107751],"domain_scores_gemma":[0.992968,0.004422434,0.0004107434,0.0003693562,0.0002785388,0.001551031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"case_report","study_design_scores_codex":[0.0002232765,0.006551574,0.02481246,0.000699587,0.00004504839,0.05801789,0.8321192,0.0008505383,0.004626999,0.004347849,0.004441332,0.06326427],"study_design_scores_gemma":[0.0002198198,0.003226581,0.04868322,0.0005507484,0.0001232387,0.04944719,0.7586497,0.004409787,0.009266625,0.002757081,0.1224861,0.000179969],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846392,0.00037547,0.00351005,0.0009046885,0.00002896421,0.0003444905,0.0001234747,0.000115119,0.009958471],"genre_scores_gemma":[0.9835365,0.0007968445,0.009032549,0.0001889641,0.00002263551,0.0002999578,0.0001254935,0.00005975185,0.005937335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009862426,"threshold_uncertainty_score":0.0188325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1546235996","doi":"","title":"Fuzzy Reasoning in JESS: The Fuzzyj Toolkit and Fuzzyjess.","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Sandia National Laboratories","keywords":"Computer science; Fuzzy logic; Programming language; Artificial intelligence; Software engineering","authors":[{"name":"Robert Orchard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01365037072099916,"gpt":0.2290748992369409,"spread":0.2154245285159418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001903037,0.0008593512,0.0008607682,0.001536256,0.001275335,0.002440821,0.002822307,0.00121132,0.01575281],"category_scores_gemma":[0.006050825,0.0009997855,0.001927643,0.001186681,0.001050615,0.002462677,0.002402872,0.002050343,0.005596452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009510367,"about_ca_system_score_gemma":0.002112322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0079963,"about_ca_topic_score_gemma":0.01415462,"domain_scores_codex":[0.9986179,0.000228797,0.0002094623,0.0001795259,0.0006767591,0.000087475],"domain_scores_gemma":[0.9981781,0.0008250839,0.0001405054,0.0003096415,0.0004505454,0.00009616279],"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":[0.0003896036,0.000286178,0.001846939,0.003409303,0.0003642253,0.001446399,0.002067958,0.0950519,0.01569683,0.2653735,0.1439351,0.4701322],"study_design_scores_gemma":[0.0001311861,0.00005499038,0.0009521929,0.0005633975,0.0001083559,0.001069158,0.0002947276,0.2998702,0.0159332,0.2396981,0.4411643,0.0001600833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001803044,0.0003019012,0.9638078,0.0003861493,0.0001368724,0.0002323907,0.001396399,0.02045757,0.01147786],"genre_scores_gemma":[0.02306411,0.0003775064,0.9627132,0.0002734658,0.00004046111,0.000370632,0.002682549,0.001910293,0.008567832],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01575281,"threshold_uncertainty_score":0.05269843,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W157259314","doi":"","title":"Integrating Joint n-gram Features into a Discriminative Training Framework","year":2010,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discriminative model; Transliteration; Computer science; Context (archaeology); Artificial intelligence; Joint (building); Generative grammar; n-gram; Transduction (biophysics); Feature (linguistics); String (physics); Context model; Natural language processing; Speech recognition; Machine learning; Pattern recognition (psychology); Language model; Engineering; Mathematics; Linguistics","authors":[{"name":"Sittichai Jiampojamarn","is_ca":true},{"name":"Colin Cherry","is_ca":false},{"name":"Grzegorz Kondrak","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01877825979771563,"gpt":0.2974458039104205,"spread":0.2786675441127049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001165253,0.001407695,0.001128342,0.001068408,0.0005195408,0.0006976294,0.001582828,0.001061459,0.003105359],"category_scores_gemma":[0.003370588,0.0004742716,0.0007772445,0.001371622,0.0004575028,0.002167226,0.001240736,0.001534182,0.003457351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004548736,"about_ca_system_score_gemma":0.0008956822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005215769,"about_ca_topic_score_gemma":0.01393643,"domain_scores_codex":[0.9992087,0.0002686059,0.00004009748,0.0002582392,0.0001373903,0.00008700487],"domain_scores_gemma":[0.998681,0.0005933089,0.0000799964,0.0003604966,0.0002140815,0.00007115257],"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":[0.00033736,0.0003871183,0.003509915,0.0001363013,0.0001057083,0.0001950149,0.00009128316,0.1372445,0.02976037,0.005239982,0.007811803,0.8151805],"study_design_scores_gemma":[0.00001124197,0.00007911683,0.0006125023,0.000007181927,0.00002285908,0.0001089336,0.00001773091,0.9863637,0.00742129,0.003653728,0.001685764,0.00001591007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02542545,0.000232425,0.9650767,0.0001232761,0.00004616228,0.00004569916,0.0003264784,0.007114749,0.001608996],"genre_scores_gemma":[0.441743,0.0002524286,0.5473228,0.0002435518,0.00008562289,0.0001745961,0.003957703,0.0005154289,0.005705047],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005215769,"threshold_uncertainty_score":0.01038849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7011698878","doi":"","title":"Movement of people: the evacuation timing","year":2002,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.02777833891725546,"gpt":0.2623866130960906,"spread":0.2346082741788351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001726264,0.0004147609,0.0004326313,0.002662957,0.001512027,0.003726129,0.001227401,0.001057443,0.1831934],"category_scores_gemma":[0.02400308,0.0003241938,0.0003105572,0.002795162,0.0005273922,0.001733168,0.001534422,0.00104462,0.03098064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652041,"about_ca_system_score_gemma":0.002581747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02430576,"about_ca_topic_score_gemma":0.04095611,"domain_scores_codex":[0.9987651,0.0003169005,0.00007490869,0.0001250689,0.0005998467,0.0001182435],"domain_scores_gemma":[0.9908042,0.002543762,0.001177172,0.0006551417,0.00386442,0.000955315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002755657,0.00009385144,0.01971307,0.0004748258,0.00002697709,0.000491117,0.001157973,0.001340277,0.0003500435,0.02352433,0.6843935,0.2681585],"study_design_scores_gemma":[0.00006183857,0.00008125867,0.1063354,0.0005620916,0.00005619495,0.000468442,0.004123597,0.003768914,0.0009242024,0.01167825,0.87187,0.00006979317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02187016,0.001821353,0.00365696,0.01146359,0.002347507,0.0002418287,0.008594771,0.0007282391,0.9492756],"genre_scores_gemma":[0.2886932,0.003512591,0.005516842,0.0007863542,0.001023767,0.0002431242,0.0086036,0.001266223,0.6903542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1831934,"threshold_uncertainty_score":0.6128429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6995662023","doi":"","title":"Performance evaluation of an extensive green roof","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Green roof; Urban heat island; Stormwater; Surface runoff; Green infrastructure; Vegetation (pathology); Durability; Urban runoff","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.021377685693201,"gpt":0.2510388774179171,"spread":0.2296611917247161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000558596,0.0005207493,0.0004412616,0.0005979001,0.0006956424,0.000634004,0.0004554683,0.0003142623,0.00229252],"category_scores_gemma":[0.0007356103,0.0001588877,0.0003149198,0.0005217211,0.0003084792,0.000360405,0.0004386623,0.0001427059,0.0003455026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120513,"about_ca_system_score_gemma":0.0007636815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.034144,"about_ca_topic_score_gemma":0.07565456,"domain_scores_codex":[0.9994935,0.00004438678,0.00001903797,0.00009055471,0.0002343284,0.0001181262],"domain_scores_gemma":[0.9993392,0.00008871673,0.00006447985,0.0001173535,0.000259892,0.0001303833],"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":[0.002960243,0.0009503396,0.09776009,0.0006170911,0.0001913133,0.0008969016,0.001219177,0.07483324,0.6715428,0.0004876495,0.001145961,0.1473952],"study_design_scores_gemma":[0.0002156224,0.009902174,0.5520862,0.000074098,0.0004378088,0.0006342781,0.001859299,0.05472549,0.3686155,0.0001881994,0.01114029,0.0001210113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977285,0.00004661898,0.001271732,0.000005450293,0.000004363633,0.00001920581,0.0001059682,0.00006538346,0.0007528064],"genre_scores_gemma":[0.9971793,0.00004783564,0.001790909,0.000004380848,0.000003318077,0.000007407632,0.0001974526,0.000013945,0.0007554441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.034144,"threshold_uncertainty_score":0.06789047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W185420342","doi":"","title":"Online Gaming Crime and Security Issue - Cases and Countermeasures from Taiwan.","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer security; Computer science; Internet privacy","authors":[{"name":"Ying‐Chieh Chen","is_ca":false},{"name":"Patrick S. Chen","is_ca":false},{"name":"Ronggong Song","is_ca":false},{"name":"Larry Korba","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01999563986140449,"gpt":0.2625551645390665,"spread":0.242559524677662,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004887371,0.000231631,0.0001700859,0.002639388,0.001574537,0.0005970553,0.0006084171,0.0009470729,0.003007487],"category_scores_gemma":[0.002302143,0.0002772564,0.0003337894,0.001345031,0.0006253133,0.0005464191,0.0009997983,0.0008390532,0.0003080651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142593,"about_ca_system_score_gemma":0.00162552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04994532,"about_ca_topic_score_gemma":0.05599822,"domain_scores_codex":[0.9995676,0.0001341273,0.00006540723,0.00003678072,0.00006439711,0.000131803],"domain_scores_gemma":[0.9981896,0.0004053218,0.0006556968,0.0000924666,0.000307496,0.0003494936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002334153,0.001458709,0.9316142,0.0002455562,0.00007561323,0.02815178,0.0144232,0.0003000119,0.0007014786,0.0009227027,0.003516156,0.01835719],"study_design_scores_gemma":[0.00004774268,0.0005868921,0.9687799,0.00008596625,0.0000507482,0.009863527,0.01458884,0.0008987394,0.0005762634,0.0001909352,0.004310708,0.00001970831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973503,0.0001746892,0.00004540243,0.0003663836,0.000009792519,0.0000617011,0.0001908232,0.000003026057,0.001797865],"genre_scores_gemma":[0.9980317,0.0002478056,0.00004774116,0.0001397171,0.0000151385,0.0000423715,0.0003645825,0.000001408176,0.001109608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04994532,"threshold_uncertainty_score":0.09930921,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7026950584","doi":"","title":"An Assessment of Laser Range Measurement of Marble Surfaces","year":2001,"lang":"en","type":"article","venue":"NPARC","topic":"Peace and Human Rights Education","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Laser; Range (aeronautics); Noise (video); Sample (material); Scattering; Surface (topology); Laser scanning","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.06344433885147294,"gpt":0.3781212829698002,"spread":0.3146769441183273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001308888,0.0004498115,0.0003240955,0.00189599,0.0004453854,0.0006957667,0.0004435541,0.0009350325,0.001877809],"category_scores_gemma":[0.005343372,0.0002287395,0.0002042144,0.0007573211,0.0003340607,0.0009443482,0.0007399699,0.0003739131,0.0007768565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003855257,"about_ca_system_score_gemma":0.0001750076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135207,"about_ca_topic_score_gemma":0.001805096,"domain_scores_codex":[0.9978929,0.000269597,0.00004006125,0.0001866248,0.001493503,0.0001172508],"domain_scores_gemma":[0.99709,0.001010964,0.000196021,0.0001835399,0.001423777,0.00009574965],"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":[0.0009344524,0.0001230475,0.09116971,0.0003929311,0.00007103135,0.0005179776,0.0009763528,0.01214881,0.6260699,0.00141119,0.0005113771,0.2656731],"study_design_scores_gemma":[0.00002808203,0.001973244,0.4581668,0.0001152437,0.0001228995,0.003531175,0.001658327,0.07955758,0.440383,0.001866546,0.01244,0.0001571103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9440545,0.00262011,0.04116185,0.0001594704,0.00004294945,0.00006070114,0.0002231015,0.0003155274,0.01136169],"genre_scores_gemma":[0.989214,0.000356002,0.008542208,0.00002642008,0.00001336946,0.00001783073,0.0001420522,0.0000260168,0.00166209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00189599,"threshold_uncertainty_score":0.006922126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7017271219","doi":"","title":"Acoustic methods for locating leaks in municipal water pipe networks","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Water Systems and Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Water pipe; Leak detection; Economic shortage; Pipe network analysis; Water scarcity; Pipeline transport; Water supply; Leak","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01495842358061455,"gpt":0.2653907893001725,"spread":0.2504323657195579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005778851,0.0005712201,0.0004357973,0.001060777,0.0003124245,0.0004792367,0.0005424705,0.0005887027,0.001548431],"category_scores_gemma":[0.003347758,0.0003203893,0.0002690645,0.001236083,0.0005365855,0.0007488025,0.0004997775,0.0004102497,0.000312642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00048284,"about_ca_system_score_gemma":0.0005447224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00338836,"about_ca_topic_score_gemma":0.004045675,"domain_scores_codex":[0.9995987,0.0001435049,0.00001426112,0.00005493051,0.0001584958,0.00003013646],"domain_scores_gemma":[0.9988004,0.0007549949,0.0001607089,0.00005333684,0.0002074204,0.00002316342],"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":[0.0002902203,0.00005911423,0.001996675,0.0002176441,0.00004192683,0.00004796357,0.0001726421,0.6002924,0.01607964,0.008722898,0.001519042,0.3705597],"study_design_scores_gemma":[0.00001592961,0.00004335629,0.0006625783,0.00000991088,0.00000821619,0.00002428484,0.00004751822,0.9922123,0.002069763,0.003558627,0.001331817,0.00001581439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01833846,0.0003307781,0.9789577,0.0000756202,0.00002344564,0.00003117109,0.00004156385,0.000285195,0.001916133],"genre_scores_gemma":[0.6733838,0.00101489,0.3164587,0.00004666247,0.0001059607,0.0002175746,0.0001266746,0.00009217854,0.008553454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00338836,"threshold_uncertainty_score":0.006737232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6986793186","doi":"","title":"Quantifying the effects of uncertainty in building simulation","year":2002,"lang":"en","type":"dissertation","venue":"NPARC","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Uncertainty analysis; Factorial; Uncertainty quantification; Function (biology); Design of experiments; Sensitivity analysis; Work (physics)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.08475040992054696,"gpt":0.3670364064777762,"spread":0.2822859965572293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01899618,0.001272069,0.001056011,0.002159479,0.0008490867,0.003242058,0.001571612,0.001344666,0.001044038],"category_scores_gemma":[0.1017637,0.0009944594,0.001023488,0.001733443,0.002513984,0.00462493,0.003619024,0.001709469,0.0001574747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003026923,"about_ca_system_score_gemma":0.001687161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004827973,"about_ca_topic_score_gemma":0.003099107,"domain_scores_codex":[0.9801675,0.01035301,0.0007640262,0.001126407,0.006962956,0.0006261251],"domain_scores_gemma":[0.8405544,0.1418834,0.005190574,0.00719912,0.00464126,0.0005312492],"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":[0.0001305005,0.00004743804,0.007477439,0.0002500456,0.0001491421,0.0000673503,0.0003735941,0.9033241,0.001826696,0.03922161,0.0002495392,0.04688258],"study_design_scores_gemma":[0.00001492709,0.0001943959,0.004093647,0.0001396034,0.00009695487,0.00009096045,0.0001957148,0.9329514,0.005350069,0.05404112,0.002744519,0.00008677704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1446373,0.001713946,0.8440509,0.0004700756,0.00008725063,0.0001423458,0.0001441108,0.0003348223,0.008419371],"genre_scores_gemma":[0.8789132,0.000784818,0.1193094,0.00007657612,0.00004765842,0.0001457216,0.0001163874,0.0001190726,0.0004871541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01899618,"threshold_uncertainty_score":0.1004626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2250907725","doi":"","title":"Improved Reordering for Phrase-Based Translation using Sparse Features","year":2013,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Machine translation; Phrase; Artificial intelligence; Translation (biology); Natural language processing; Principle of maximum entropy; Entropy (arrow of time); Pattern recognition (psychology); Speech recognition","authors":[{"name":"Colin Cherry","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02613576818046439,"gpt":0.2777551498492131,"spread":0.2516193816687487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009885945,0.0008382087,0.0007044426,0.0008411358,0.0003461427,0.0005984822,0.0005667223,0.0006586667,0.004057811],"category_scores_gemma":[0.004879118,0.000350236,0.0004702474,0.000932481,0.000349055,0.001566816,0.000739869,0.001091825,0.00250755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000439792,"about_ca_system_score_gemma":0.0006061601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683072,"about_ca_topic_score_gemma":0.004573962,"domain_scores_codex":[0.9993504,0.0002724917,0.0000451289,0.000116604,0.000162505,0.00005288269],"domain_scores_gemma":[0.9983441,0.0008421981,0.0001636329,0.0003098312,0.0002925031,0.00004773019],"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":[0.0005429991,0.0002819978,0.002599441,0.0002707011,0.00008964097,0.0002997082,0.0002083893,0.2384183,0.08292039,0.01143178,0.01079078,0.6521459],"study_design_scores_gemma":[0.00003135562,0.0001352555,0.0007749908,0.00001238638,0.00001897506,0.0001200035,0.00002222809,0.969155,0.01994896,0.007308511,0.002450745,0.00002153988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05026085,0.0002098384,0.9396861,0.000208831,0.00006285086,0.00008170458,0.0004687198,0.006478604,0.0025425],"genre_scores_gemma":[0.5708197,0.000175578,0.421004,0.0001885821,0.00009849229,0.00017748,0.002600628,0.001051023,0.003884635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004057811,"threshold_uncertainty_score":0.01357478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}