{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":205,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":205,"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":"c7113bb6381d","filters":{"venue":"ISPRS International Journal of Geo-Information"}},"results":[{"id":"W2052326455","doi":"10.3390/ijgi4010199","title":"Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":696,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Deutsches Zentrum für Luft- und Raumfahrt; Argonne National Laboratory; University College Dublin; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Workflow; Dissemination; Computer science; Data science; Function (biology); Software; Climate zones; Remote sensing; Geography; Environmental resource management; Database; Environmental science; Physical geography","authors":[{"name":"Benjamin Bechtel","is_ca":false},{"name":"Paul J. Alexander","is_ca":false},{"name":"Jürgen Böhner","is_ca":false},{"name":"Jason Ching","is_ca":false},{"name":"Olaf Conrad","is_ca":false},{"name":"Johannes J. Feddema","is_ca":false},{"name":"Gerald Mills","is_ca":false},{"name":"Linda See","is_ca":false},{"name":"Iain D. Stewart","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01340414912511246,"gpt":0.2286507905647567,"spread":0.2152466414396442,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002201712,0.0005261971,0.0005564751,0.006227064,0.0008115534,0.002622745,0.001329761,0.0006906583,0.0133729],"category_scores_gemma":[0.006748294,0.0004837126,0.000668186,0.01128287,0.0002301635,0.003095107,0.003338557,0.0009671914,0.007497019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036647,"about_ca_system_score_gemma":0.002246978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936834,"about_ca_topic_score_gemma":0.01990981,"domain_scores_codex":[0.9987601,0.000183424,0.0002201865,0.0003512079,0.0003787297,0.0001064503],"domain_scores_gemma":[0.9965,0.0004354324,0.0003408865,0.001418898,0.0009368694,0.0003677954],"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":[0.0008485548,0.0008998616,0.09596512,0.00158062,0.0002468896,0.0009876158,0.004082646,0.02266498,0.02113088,0.03757554,0.3229116,0.4911057],"study_design_scores_gemma":[0.0002781705,0.0001729828,0.1933283,0.0004578978,0.0001555436,0.000730058,0.004732498,0.05208222,0.02366258,0.01639683,0.7076732,0.0003297261],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09411678,0.0003489392,0.1531191,0.0008319904,0.000170743,0.001803225,0.6814678,0.02929702,0.03884437],"genre_scores_gemma":[0.1606375,0.0003832633,0.2261452,0.0001266967,0.00003462493,0.002522724,0.6022667,0.001695397,0.006187835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01936834,"threshold_uncertainty_score":0.0447368,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3042728352","doi":"10.3390/ijgi9070439","title":"Extended Reality in Spatial Sciences: A Review of Research Challenges and Future Directions","year":2020,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":285,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Relevance (law); Virtual reality; Augmented reality; Scope (computer science); Aside; Data science; Modalities; Computer science; Domain (mathematical analysis); Geospatial analysis; Visualization; Mixed reality; Artificial reality; Focus (optics); Human–computer interaction; Computer-mediated reality; Sociology; Artificial intelligence; Political science; Social science; Geography","authors":[{"name":"Arzu Çöltekin","is_ca":false},{"name":"Ian Lochhead","is_ca":true},{"name":"Marguerite Madden","is_ca":false},{"name":"Sidonie Christophe","is_ca":false},{"name":"Alexandre Devaux","is_ca":false},{"name":"Christopher Pettit","is_ca":false},{"name":"Oliver Lock","is_ca":false},{"name":"Shashwat Shukla","is_ca":false},{"name":"Lukáš Heřman","is_ca":false},{"name":"Zdeněk Stachoň","is_ca":false},{"name":"Petr Kubíček","is_ca":false},{"name":"Dajana Snopková","is_ca":false},{"name":"Sérgio Bernardes","is_ca":false},{"name":"Nick Hedley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.111491994929992,"gpt":0.4390235235867754,"spread":0.3275315286567835,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005141279,0.0013079,0.002094981,0.006365383,0.0008601701,0.003706299,0.001633751,0.002685499,0.004293982],"category_scores_gemma":[0.007634031,0.0008048743,0.001077305,0.009459606,0.002398933,0.006255255,0.001786485,0.003017687,0.002000898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137509,"about_ca_system_score_gemma":0.005415371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344634,"about_ca_topic_score_gemma":0.005248592,"domain_scores_codex":[0.9982174,0.0005159814,0.0002807066,0.0002705469,0.0006094608,0.0001057787],"domain_scores_gemma":[0.9865196,0.01000861,0.0005523256,0.0002866201,0.00234378,0.000288945],"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":[0.0000454524,0.00006504512,0.0004230313,0.03735315,0.00009134405,0.0001416107,0.000556504,0.0008846229,0.0005775291,0.03168099,0.02181569,0.906365],"study_design_scores_gemma":[0.000008602576,0.0001052899,0.001271232,0.02496553,0.0001471616,0.0008550092,0.000883266,0.0003504941,0.000354273,0.01306497,0.9579281,0.00006607587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009932985,0.9969952,0.0005135104,0.001010342,0.0002724906,0.000006352228,0.00001275805,0.000007538725,0.0010826],"genre_scores_gemma":[0.0009971539,0.9976597,0.0005786667,0.0002666791,0.0002550486,0.000008448308,0.00001606754,0.000003580417,0.0002147045],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006365383,"threshold_uncertainty_score":0.02718997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3005359275","doi":"10.3390/ijgi9020095","title":"Geospatial Data Management Research: Progress and Future Directions","year":2020,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":183,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; University of Calgary","funders":"Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Geospatial analysis; Milestone; Data science; Data management; Computer science; Geospatial PDF; Geographic information system; Visualization; Data visualization; Spatial data infrastructure; Geospatial metadata; Spatial analysis; Database; Data mining; Geography; World Wide Web; Metadata; Remote sensing; Meta Data Services; Cartography; Data element","authors":[{"name":"Martin Breunig","is_ca":false},{"name":"Patrick Erik Bradley","is_ca":false},{"name":"Markus Jahn","is_ca":false},{"name":"Paul Vincent Kuper","is_ca":false},{"name":"Nima Mazroob","is_ca":false},{"name":"Norbert Rösch","is_ca":false},{"name":"Mulhim Al-Doori","is_ca":false},{"name":"Emmanuel Stefanakis","is_ca":true},{"name":"Mojgan Jadidi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04233026645820982,"gpt":0.3137276399267364,"spread":0.2713973734685265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01426814,0.001093672,0.001205032,0.004776178,0.001815181,0.008624594,0.002846155,0.004681611,0.00787573],"category_scores_gemma":[0.01125236,0.000572333,0.001218263,0.009668952,0.00500985,0.02087434,0.004306119,0.006452155,0.003410328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003172248,"about_ca_system_score_gemma":0.007534615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003887171,"about_ca_topic_score_gemma":0.003114982,"domain_scores_codex":[0.9945589,0.001747163,0.0004313932,0.0007566917,0.002043389,0.0004623635],"domain_scores_gemma":[0.9759563,0.01314418,0.0009300102,0.001580346,0.006630356,0.001758717],"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":[0.00008161721,0.0002637693,0.002284354,0.004486503,0.00005839252,0.0001221276,0.001011577,0.00166885,0.001050595,0.1446905,0.06102015,0.7832616],"study_design_scores_gemma":[0.00002567931,0.0001654253,0.001835891,0.005722727,0.00006250838,0.0004163477,0.003728479,0.004256748,0.001201757,0.1418303,0.8406339,0.0001202619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003773297,0.8524205,0.02512264,0.09561763,0.004689785,0.00007866348,0.0003378411,0.0003855217,0.01757415],"genre_scores_gemma":[0.02725649,0.9029713,0.04973901,0.008285407,0.005959957,0.0001109845,0.0009033532,0.0001334449,0.004640114],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01426814,"threshold_uncertainty_score":0.07545805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2765164971","doi":"10.3390/ijgi6100317","title":"Review of Web Mapping: Eras, Trends and Directions","year":2017,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Geospatial analysis; Web mapping; Computer science; World Wide Web; Cloud computing; Web service; The Internet; Data science; Web Coverage Service; Web application; Relation (database); Web modeling; Geography; Cartography; Database","authors":[{"name":"Bert Veenendaal","is_ca":false},{"name":"Maria Antonia Brovelli","is_ca":false},{"name":"Songnian Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0218819352928783,"gpt":0.3389969824909731,"spread":0.3171150471980948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003419184,0.0009600783,0.00168585,0.01215803,0.0007159727,0.004199531,0.001601884,0.001766461,0.005087243],"category_scores_gemma":[0.01219525,0.0005974675,0.0008589739,0.01893317,0.001380267,0.008313325,0.001445901,0.00200818,0.00217608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834003,"about_ca_system_score_gemma":0.005774695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893894,"about_ca_topic_score_gemma":0.005889648,"domain_scores_codex":[0.9978776,0.0006224518,0.0003750892,0.0002637857,0.0007507943,0.0001103101],"domain_scores_gemma":[0.9843928,0.009843504,0.001341169,0.0003619491,0.003640249,0.0004203701],"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":[0.00004806117,0.00004965485,0.0008333212,0.04143534,0.0001146936,0.0002375738,0.0005484986,0.0004066843,0.0004351415,0.01120439,0.09266359,0.8520231],"study_design_scores_gemma":[0.000004886013,0.00003062773,0.001513313,0.01969926,0.0001057256,0.0007156983,0.0005654765,0.0001132119,0.0001654476,0.003797225,0.9732622,0.00002697496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002025166,0.9941055,0.0004225904,0.002512387,0.0008221808,0.000008223565,0.00005366172,0.00001583701,0.001857214],"genre_scores_gemma":[0.001189494,0.9960127,0.0006907081,0.0007997765,0.0008026728,0.00001017198,0.00008213236,0.000008641322,0.0004036772],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01215803,"threshold_uncertainty_score":0.01808262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2805258596","doi":"10.3390/ijgi7060206","title":"Hydrological Modeling with Respect to Impact of Land-Use and Land-Cover Change on the Runoff Dynamics in Godavari River Basin Using the HEC-HMS Model","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"U.S. Army Corps of Engineers; Multiple Sclerosis Scientific Research Foundation","keywords":"Hydrology (agriculture); Land cover; Surface runoff; Environmental science; Shrubland; Land use; Land use, land-use change and forestry; Streamflow; Urbanization; Structural basin; Drainage basin; Agricultural land; Geography; Geology; Ecosystem; Ecology; Geomorphology","authors":[{"name":"Sunitha Koneti","is_ca":false},{"name":"Sri Lakshmi Sunkara","is_ca":false},{"name":"P. S. Roy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03031951838514246,"gpt":0.2720561869691768,"spread":0.2417366685840343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003555588,0.0002209027,0.0002723537,0.0004031432,0.0002888666,0.0004909385,0.0005285565,0.0003926733,0.000776536],"category_scores_gemma":[0.0006123576,0.0001750325,0.0007316944,0.0006354759,0.0002009538,0.0003570067,0.000336085,0.0003827497,0.0001178915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008668033,"about_ca_system_score_gemma":0.001090684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08776086,"about_ca_topic_score_gemma":0.07401557,"domain_scores_codex":[0.9998711,0.0000378472,0.000008459207,0.00003632617,0.00002407433,0.00002216575],"domain_scores_gemma":[0.9998241,0.00006385669,0.00002368042,0.00002204937,0.00004943317,0.00001688188],"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":[0.0000608068,0.00008939538,0.05501851,0.00002888666,0.00007944556,0.000134262,0.0001283732,0.9270306,0.002456347,0.001195335,0.0009018568,0.01287619],"study_design_scores_gemma":[0.00001146408,0.00001621868,0.02093769,0.000003214137,0.0000157056,0.00001712328,0.00005914335,0.9778526,0.000375455,0.0002664154,0.0004382123,0.000006825529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874414,0.0000593002,0.008387373,0.0002032011,0.00001306668,0.00002586706,0.0008159803,0.0002015443,0.002852286],"genre_scores_gemma":[0.994341,0.0000522414,0.004127068,0.00001727187,0.000006812423,0.00002465174,0.00053301,0.00001490471,0.0008831217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08776086,"threshold_uncertainty_score":0.1745001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885006302","doi":"10.3390/ijgi7080294","title":"An Object-Based Image Analysis Workflow for Monitoring Shallow-Water Aquatic Vegetation in Multispectral Drone Imagery","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Fleming College; Trent University","funders":"","keywords":"Multispectral image; Workflow; Computer science; Drone; Remote sensing; Vegetation (pathology); Artificial intelligence; Software; Cartography; Geography; Database","authors":[{"name":"Dominique Chabot","is_ca":false},{"name":"Christopher Dillon","is_ca":false},{"name":"Adam Shemrock","is_ca":false},{"name":"Nicholas Weissflog","is_ca":true},{"name":"Eric P. S. Sager","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006371756479457254,"gpt":0.2718130461167544,"spread":0.2654412896372972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006519954,0.0008012429,0.0003580086,0.001672689,0.0007446879,0.001261028,0.0008813201,0.0004648699,0.003209247],"category_scores_gemma":[0.0008062657,0.0004288698,0.0006520545,0.0008436799,0.0003426552,0.0005405544,0.0006687648,0.0005393549,0.002838798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007927166,"about_ca_system_score_gemma":0.00169521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02993072,"about_ca_topic_score_gemma":0.05191716,"domain_scores_codex":[0.999668,0.00002543176,0.00003043562,0.0001097886,0.0001279473,0.00003837478],"domain_scores_gemma":[0.9994544,0.00006799131,0.00004622405,0.0001299845,0.0002468065,0.00005462744],"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":[0.0002747171,0.0003784445,0.01151831,0.0004329575,0.0001161877,0.0006701647,0.001351973,0.02044377,0.3112293,0.003531006,0.02312625,0.6269269],"study_design_scores_gemma":[0.00009820644,0.0001982888,0.05639143,0.0001593732,0.00007600676,0.0009083201,0.0008485627,0.6173971,0.232215,0.006685797,0.08479723,0.0002246568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02865569,0.00007086766,0.9414282,0.0001279884,0.00003193695,0.0008694319,0.003379591,0.02112793,0.00430839],"genre_scores_gemma":[0.05576827,0.00006861331,0.9364602,0.00005715236,0.000008329122,0.0003504891,0.004109787,0.0004791377,0.002697988],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02993072,"threshold_uncertainty_score":0.05951297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046048985","doi":"10.3390/ijgi9080479","title":"Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms","year":2020,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Forests","funders":"","keywords":"Mean squared error; Random forest; Pruning; Statistics; Standard deviation; Tree (set theory); Decision tree; Algorithm; Computer science; Correlation coefficient; Mathematics; Machine learning","authors":[{"name":"Viet‐Ha Nhu","is_ca":false},{"name":"Himan Shahabi","is_ca":false},{"name":"Ebrahim Nohani","is_ca":false},{"name":"Ataollah Shirzadi","is_ca":false},{"name":"Nadhir Al‐Ansari","is_ca":false},{"name":"Sepideh Bahrami","is_ca":false},{"name":"Shaghayegh Miraki","is_ca":false},{"name":"Marten Geertsema","is_ca":true},{"name":"Hoang Nguyen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04662398621044315,"gpt":0.2698469896894758,"spread":0.2232230034790327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254413,0.00120597,0.0009012222,0.001019649,0.0004034131,0.0006216419,0.001154336,0.0007948921,0.0006321426],"category_scores_gemma":[0.002286259,0.0002757887,0.00143797,0.0008600172,0.0001809679,0.0008688134,0.0003897508,0.0008164552,0.0002104602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370376,"about_ca_system_score_gemma":0.00131165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04448447,"about_ca_topic_score_gemma":0.02739451,"domain_scores_codex":[0.9997031,0.00007272833,0.00002439568,0.0001000224,0.0000445749,0.00005516252],"domain_scores_gemma":[0.9993273,0.0003332946,0.00006833047,0.00003194126,0.0001931868,0.00004585544],"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":[0.0004434478,0.0002042423,0.03648705,0.0001863567,0.0002409871,0.000137386,0.00009958578,0.8390829,0.001969332,0.0004887845,0.003567838,0.1170921],"study_design_scores_gemma":[0.00002090447,0.00004684641,0.00453752,0.00001103899,0.00003440735,0.00001425387,0.00003116099,0.9943544,0.0004939617,0.0002171322,0.0002281759,0.00001030036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955253,0.002131262,0.09385766,0.000880763,0.0001862734,0.00008887154,0.001940493,0.002639154,0.002750313],"genre_scores_gemma":[0.9527128,0.0004371629,0.04277293,0.000100606,0.00004296359,0.00006576229,0.003062633,0.0000825286,0.0007225223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04448447,"threshold_uncertainty_score":0.08845109,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2042842637","doi":"10.3390/ijgi3031101","title":"The Potential of Urban Agriculture in Montréal: A Quantitative Assessment","year":2014,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"","keywords":"Downtown; Agriculture; Urban agriculture; Production (economics); Agricultural economics; Population; Business; Land use; Agricultural science; Environmental science; Geography; Economics; Engineering; Civil engineering","authors":[{"name":"Daniel Haberman","is_ca":true},{"name":"Laura A. Gillies","is_ca":true},{"name":"Aryeh Canter","is_ca":true},{"name":"Valentine Rinner","is_ca":true},{"name":"Laetitia Pancrazi","is_ca":false},{"name":"Federico Martellozzo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0039081225131093,"gpt":0.2212582765001482,"spread":0.2173501539870389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003841511,0.0005071664,0.0001401026,0.001597094,0.0004895129,0.0009754614,0.0005222594,0.0002823055,0.002407996],"category_scores_gemma":[0.0007927808,0.0001382002,0.0003528319,0.002426822,0.0004914531,0.0003471535,0.0004331285,0.000144347,0.0001610413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006894378,"about_ca_system_score_gemma":0.001749208,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6305471,"about_ca_topic_score_gemma":0.7778237,"domain_scores_codex":[0.9996127,0.00007569255,0.00001060514,0.0000436466,0.000166578,0.00009076438],"domain_scores_gemma":[0.9995899,0.0001286546,0.00006083431,0.00002550847,0.0001415492,0.00005353781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003608684,0.0003188351,0.5844916,0.0003700768,0.0003199905,0.0009174035,0.001203216,0.3135095,0.02777369,0.004998856,0.003016511,0.06271937],"study_design_scores_gemma":[0.00003292919,0.0005659407,0.8380075,0.00003099045,0.0001153198,0.0001580021,0.002696582,0.1428574,0.005067701,0.0005496952,0.009836924,0.00008102347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778841,0.0001244568,0.00230602,0.00005583181,0.00000235193,0.0001555375,0.00321893,0.00008934346,0.01616349],"genre_scores_gemma":[0.9953763,0.00008652119,0.00195566,0.000006169228,0.000001388984,0.00004662729,0.001032853,0.00000687103,0.001487462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3694529,"threshold_uncertainty_score":0.7432573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885606789","doi":"10.3390/ijgi7080306","title":"Satellite-Derived Bathymetry for Improving Canadian Hydrographic Service Charts","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Canadian Hydrographic Service","funders":"Canadian Space Agency","keywords":"Hydrographic survey; Bathymetry; Hydrography; Remote sensing; Satellite; Service (business); Environmental science; Environmental resource management; Geography; Cartography; Business; Engineering","authors":[{"name":"René Chénier","is_ca":true},{"name":"Marc-André Faucher","is_ca":true},{"name":"Ryan Ahola","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006009813403188667,"gpt":0.2265677260076213,"spread":0.2205579126044326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787747,0.0009015348,0.0004336059,0.005035452,0.001384073,0.002152632,0.001040274,0.0003134087,0.006439323],"category_scores_gemma":[0.007332834,0.0002992438,0.0003886298,0.009228677,0.0004005059,0.001245362,0.001433004,0.0008058394,0.001773593],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006053888,"about_ca_system_score_gemma":0.02003619,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8763803,"about_ca_topic_score_gemma":0.9327849,"domain_scores_codex":[0.998655,0.0001042849,0.00005419008,0.0001065758,0.00090013,0.0001798933],"domain_scores_gemma":[0.9934152,0.000298535,0.0002057966,0.0004245401,0.005317911,0.0003379401],"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":[0.0000915876,0.00008647069,0.07740269,0.0004816623,0.00005559743,0.0002028772,0.0009212112,0.03141556,0.01902595,0.003373052,0.08982874,0.7771146],"study_design_scores_gemma":[0.00009098004,0.0001099067,0.4084049,0.0005673475,0.000129447,0.0002138053,0.005065806,0.2124085,0.02557614,0.004373775,0.3427312,0.0003282506],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3443801,0.003936186,0.3969503,0.006105788,0.0009458466,0.002359075,0.1250487,0.01805423,0.1022197],"genre_scores_gemma":[0.426111,0.002972115,0.5074229,0.0002909054,0.0000905505,0.0003271272,0.05448602,0.001271724,0.007027746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9939461,"threshold_uncertainty_score":0.2486954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078528388","doi":"10.3390/ijgi3020713","title":"Canadian Forest Fires and the Effects of Long-Range Transboundary Air Pollution on Hospitalizations among the Elderly","year":2014,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Institute of Environmental Health Sciences","keywords":"Smoke; Particulates; Air pollution; Environmental science; Plume; Air quality index; Environmental health; Population; Aerodynamic diameter; Confidence interval; Pollution; Medicine; Geography; Meteorology; Aerosol","authors":[{"name":"George Le","is_ca":false},{"name":"Patrick N. Breysse","is_ca":false},{"name":"Aidan McDermott","is_ca":false},{"name":"Sorina Eftim","is_ca":false},{"name":"Alison S. Geyh","is_ca":false},{"name":"Jesse D. Berman","is_ca":false},{"name":"Frank C. Curriero","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003654723295001517,"gpt":0.2281930949895728,"spread":0.2245383716945713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007655151,0.0003019019,0.0001930014,0.0007618425,0.001086051,0.0006875179,0.0006078728,0.0003013826,0.00148857],"category_scores_gemma":[0.003147215,0.0001443771,0.0007159167,0.001703769,0.0003368988,0.0002434108,0.0006713053,0.0005759422,0.0001076048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01021406,"about_ca_system_score_gemma":0.01135727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885601,"about_ca_topic_score_gemma":0.9923705,"domain_scores_codex":[0.9994019,0.0001048678,0.00003794072,0.00007450532,0.0001995525,0.0001812011],"domain_scores_gemma":[0.9984568,0.0001880265,0.0004285049,0.00007584984,0.0004818614,0.0003689255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005630304,0.00001623423,0.9957191,0.00001026703,0.00007121995,0.00004901551,0.0001343209,0.0002677485,0.00004300136,0.00007266601,0.0004312612,0.003128784],"study_design_scores_gemma":[0.000002866866,0.0000103642,0.9989116,0.00001293585,0.00003414938,0.00002746598,0.0002708345,0.0003493563,0.00002728615,0.00002631428,0.0003227793,0.000003980842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923235,0.001188515,0.000158373,0.000529461,0.00001518787,0.00002137155,0.002686943,0.000006699686,0.003069939],"genre_scores_gemma":[0.9981185,0.0005264504,0.00009041151,0.00007833312,0.000008493096,0.000003896155,0.0008104946,0.000001497316,0.0003618934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143986,"threshold_uncertainty_score":0.07410854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041053309","doi":"10.3390/ijgi9090502","title":"Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019","year":2020,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"H2020 Marie Skłodowska-Curie Actions; H2020 European Research Council","keywords":"CityGML; Benchmark (surveying); Georeference; Interoperability; Computer science; Context (archaeology); Building information modeling; Data integration; 3D city models; Systems engineering; Data conversion; Database; Software engineering; Data mining; Data science; Visualization; Engineering; World Wide Web; Geography; Cartography","authors":[{"name":"Francesca Noardo","is_ca":false},{"name":"Lars Harrie","is_ca":false},{"name":"Ken Arroyo Ohori","is_ca":false},{"name":"Filip Biljecki","is_ca":false},{"name":"Claire Ellul","is_ca":false},{"name":"Helen Eriksson","is_ca":false},{"name":"Doğuş Güler","is_ca":false},{"name":"Dean Hintz","is_ca":false},{"name":"Mojgan Jadidi","is_ca":true},{"name":"María Carmen Borrego Plá","is_ca":false},{"name":"Santi Sanchez","is_ca":false},{"name":"Ville-Pekka Soini","is_ca":false},{"name":"Rudi Stouffs","is_ca":false},{"name":"Jernej Tekavec","is_ca":false},{"name":"Jantien Stoter","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01735441755826316,"gpt":0.2249346726860041,"spread":0.2075802551277409,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02557602,0.002912304,0.001421022,0.008919491,0.001507879,0.008522718,0.0038906,0.002574159,0.004792121],"category_scores_gemma":[0.03303573,0.0007653058,0.001822697,0.01022872,0.001882982,0.007085729,0.006983179,0.00285476,0.004580167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004644462,"about_ca_system_score_gemma":0.006057898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496912,"about_ca_topic_score_gemma":0.009497759,"domain_scores_codex":[0.9737321,0.005453807,0.001564962,0.002223159,0.01484128,0.002184799],"domain_scores_gemma":[0.978446,0.003859915,0.0008866864,0.004451472,0.01076339,0.001592451],"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":[0.002171889,0.002878977,0.02572268,0.004140267,0.0003954819,0.0006926322,0.003590744,0.05460114,0.017111,0.08747637,0.1652753,0.6359435],"study_design_scores_gemma":[0.000460236,0.001195503,0.05704863,0.003629342,0.0004734595,0.0007812693,0.005367151,0.08749954,0.05104901,0.0249399,0.7670777,0.0004782713],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3285998,0.01615034,0.2953797,0.009459246,0.0020442,0.003104891,0.09009954,0.04860998,0.2065523],"genre_scores_gemma":[0.3306428,0.006042253,0.3427523,0.001031921,0.0002816683,0.001544128,0.2958155,0.009048681,0.0128408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02557602,"threshold_uncertainty_score":0.1352606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2616379711","doi":"10.3390/ijgi6050154","title":"The Standardization and Harmonization of Land Cover Classification Systems towards Harmonized Datasets: A Review","year":2017,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Land cover; Standardization; Harmonization; Interoperability; Cover (algebra); Comparability; Computer science; Land use; Engineering; Civil engineering; Mathematics","authors":[{"name":"Hui Yang","is_ca":false},{"name":"Songnian Li","is_ca":true},{"name":"Jun Chen","is_ca":false},{"name":"Xiaolu Zhang","is_ca":false},{"name":"Shishuo Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0410797697920819,"gpt":0.3336335143644965,"spread":0.2925537445724146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01046057,0.001179311,0.001864244,0.009227753,0.0005942627,0.002451826,0.002966608,0.001236954,0.001673058],"category_scores_gemma":[0.01183571,0.0005980508,0.00120227,0.01448077,0.001379618,0.004608306,0.001568287,0.001596781,0.001156849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795156,"about_ca_system_score_gemma":0.006998382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006137124,"about_ca_topic_score_gemma":0.005300419,"domain_scores_codex":[0.9969721,0.0006895974,0.000570231,0.0005153223,0.001125174,0.0001276222],"domain_scores_gemma":[0.9903729,0.004498413,0.0009372615,0.0004559909,0.003545386,0.0001900333],"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":[0.00002327186,0.00005245825,0.0009295034,0.02825641,0.0001297479,0.00008129713,0.00026134,0.0009044817,0.0008085776,0.01298006,0.01787949,0.9376934],"study_design_scores_gemma":[0.000008503108,0.00006390768,0.002857498,0.01538549,0.0002413438,0.000403434,0.000357302,0.0004537342,0.001015236,0.005684046,0.9734728,0.00005666293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009123451,0.9879006,0.005564686,0.001481149,0.0006173957,0.00009254931,0.0003092353,0.00005064938,0.003071378],"genre_scores_gemma":[0.003424025,0.9859471,0.008874636,0.0004304826,0.0002317423,0.00008127196,0.0006288664,0.00002719955,0.0003546288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01046057,"threshold_uncertainty_score":0.05532146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999515312","doi":"10.3390/ijgi4010320","title":"Categorization and Conversions for Indexing Methods of Discrete Global Grid Systems","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Search engine indexing; Computer science; Categorization; Grid; Interoperability; Index (typography); Data mining; Information retrieval; Database index; Artificial intelligence; Mathematics; World Wide Web","authors":[{"name":"Ali Amiri","is_ca":true},{"name":"Faramarz Samavati","is_ca":true},{"name":"Perry Peterson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02109784320107986,"gpt":0.3373001400838812,"spread":0.3162022968828013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00624415,0.001083297,0.0009817815,0.008402896,0.001714582,0.006632521,0.003220379,0.001497204,0.007816044],"category_scores_gemma":[0.01587374,0.000825925,0.002559494,0.01073641,0.003926762,0.007750874,0.003631791,0.004511047,0.004104267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002688521,"about_ca_system_score_gemma":0.002159264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287234,"about_ca_topic_score_gemma":0.002177587,"domain_scores_codex":[0.9905612,0.001836314,0.002324316,0.001535686,0.00331452,0.0004279417],"domain_scores_gemma":[0.9902377,0.002629368,0.0005481291,0.004126043,0.002163291,0.0002955401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008476412,0.0001002782,0.001502744,0.0006462345,0.00004413268,0.0002653094,0.001788618,0.002374438,0.004413382,0.7144026,0.01736582,0.2570118],"study_design_scores_gemma":[0.00004949864,0.00008804441,0.001818498,0.0005106286,0.00006599331,0.001435516,0.0009269404,0.02965592,0.01003046,0.334643,0.6206166,0.0001589559],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003051288,0.001762414,0.9767476,0.0005428331,0.000530466,0.0005161635,0.0009265406,0.002558073,0.01336466],"genre_scores_gemma":[0.02771317,0.001480696,0.9608157,0.0002222598,0.0002388195,0.0007474797,0.00249154,0.0009667854,0.005323467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008402896,"threshold_uncertainty_score":0.03302264,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2768550880","doi":"10.3390/ijgi6120382","title":"Recent Advances of Structures Monitoring and Evaluation Using GPS-Time Series Monitoring Systems: A Review","year":2017,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Ministry of Land, Infrastructure and Transport; Incheon National University","keywords":"Global Positioning System; Computer science; Structural health monitoring; Real-time computing; Identification (biology); Series (stratigraphy); Precise Point Positioning; Engineering; Telecommunications; GNSS applications; Geology","authors":[{"name":"Mosbeh R. Kaloop","is_ca":false},{"name":"Emad Elbeltagi","is_ca":false},{"name":"Jong Wan Hu","is_ca":false},{"name":"Ahmed El Refai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07774305318176833,"gpt":0.4278076627871042,"spread":0.3500646096053359,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001409211,0.001063165,0.001217519,0.003404545,0.000246632,0.0009660407,0.001207544,0.001035893,0.002539519],"category_scores_gemma":[0.002418245,0.0003353879,0.0008020419,0.004028146,0.0003654407,0.001575521,0.0005734474,0.0007470165,0.00126963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000377409,"about_ca_system_score_gemma":0.001054381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662416,"about_ca_topic_score_gemma":0.001855282,"domain_scores_codex":[0.999471,0.00007696466,0.00006794524,0.0001280715,0.0002277011,0.0000283383],"domain_scores_gemma":[0.9978276,0.001227504,0.0002071334,0.00005951995,0.0006277385,0.00005057669],"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":[0.00003957954,0.00005339114,0.001118358,0.01569589,0.000110184,0.0001075903,0.00007643619,0.00128717,0.002215455,0.002311618,0.008267447,0.9687169],"study_design_scores_gemma":[0.00001633149,0.0003614817,0.006513108,0.008229187,0.0007788374,0.001819831,0.0003771628,0.002569577,0.004789,0.004485538,0.9699341,0.0001258306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008547191,0.9935935,0.00297454,0.0003129909,0.0002898295,0.0000158112,0.00007611339,0.00003261397,0.001849948],"genre_scores_gemma":[0.005623895,0.9900224,0.002992198,0.0001526557,0.0003996115,0.00001808809,0.0001253059,0.000007370046,0.000658491],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003404545,"threshold_uncertainty_score":0.00849551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991837421","doi":"10.3390/ijgi3041278","title":"A Systems Perspective on Volunteered Geographic Information","year":2014,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Volunteered geographic information; Crowdsourcing; Perspective (graphical); Relevance (law); Computer science; Data science; Product (mathematics); World Wide Web; Artificial intelligence; Political science","authors":[{"name":"Victoria Fast","is_ca":true},{"name":"Claus Rinner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007037980466628988,"gpt":0.2815427104239205,"spread":0.2745047299572915,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01116513,0.001005361,0.0008218517,0.004339631,0.004348753,0.01725833,0.00292132,0.005690114,0.007573958],"category_scores_gemma":[0.01313555,0.0007686283,0.0009775744,0.005707377,0.01991751,0.01776053,0.0100403,0.004547599,0.001176965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007743774,"about_ca_system_score_gemma":0.007244507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007870538,"about_ca_topic_score_gemma":0.003626062,"domain_scores_codex":[0.9885571,0.006801387,0.000560242,0.001552951,0.001758114,0.0007701628],"domain_scores_gemma":[0.981365,0.01172162,0.001140735,0.002608517,0.001900948,0.001263174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005054874,0.00001453953,0.000431556,0.00007715848,0.00001120786,0.0001093416,0.002778029,0.001616688,0.0001526461,0.9891062,0.00168605,0.004011582],"study_design_scores_gemma":[0.0000192778,0.00005227959,0.000460417,0.000238902,0.0000206439,0.0002168915,0.004366295,0.006890647,0.000295271,0.8504223,0.1369907,0.00002644324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02148139,0.005839535,0.5946136,0.08025981,0.0008439446,0.0005400725,0.0007448409,0.00062891,0.295048],"genre_scores_gemma":[0.8140179,0.005537826,0.1541982,0.004470455,0.00133885,0.0009583487,0.0006834543,0.0002503239,0.01854475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01725833,"threshold_uncertainty_score":0.05904752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2909347229","doi":"10.3390/ijgi8010051","title":"The Spatial and Social Patterning of Property and Violent Crime in Toronto Neighbourhoods: A Spatial-Quantitative Approach","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Montreal Police Service; Toronto Metropolitan University","funders":"","keywords":"Property crime; Geography; Neighbourhood (mathematics); Socioeconomic status; Ordinary least squares; Criminology; Census; Population; Demography; Socioeconomics; Cartography; Violent crime; Sociology; Econometrics; Mathematics","authors":[{"name":"Lu Wang","is_ca":true},{"name":"Gabby Lee","is_ca":true},{"name":"Ian N. Williams","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01699125693455344,"gpt":0.3268071623266504,"spread":0.3098159053920969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004787694,0.0002492869,0.0002405417,0.003730336,0.001657018,0.001518805,0.0005421976,0.0001846479,0.001948417],"category_scores_gemma":[0.002967231,0.0002076097,0.0004655258,0.007598225,0.001558947,0.0005220429,0.002090958,0.0002291001,0.0001487566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01050717,"about_ca_system_score_gemma":0.006026977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8835937,"about_ca_topic_score_gemma":0.9353486,"domain_scores_codex":[0.9993654,0.0001748623,0.00004996166,0.0000981214,0.0001994953,0.0001121671],"domain_scores_gemma":[0.9985695,0.000375228,0.0004154029,0.0001232986,0.0003483372,0.000168197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006426741,0.00002477323,0.9478817,0.0002813445,0.0001258304,0.0005696436,0.02762033,0.003394027,0.0007600416,0.005417836,0.001897129,0.011963],"study_design_scores_gemma":[0.000001590051,0.00001773785,0.9709978,0.00006088749,0.00003192442,0.00009588444,0.02331388,0.001880863,0.0001116657,0.0003137245,0.003159377,0.00001483343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864967,0.0004569124,0.001657202,0.0002038981,0.00000695624,0.00008824617,0.004888104,0.00001636311,0.006185504],"genre_scores_gemma":[0.9960164,0.0002166522,0.001270171,0.00001064315,0.000003514125,0.00006452449,0.001348871,0.000005437901,0.001063604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1164063,"threshold_uncertainty_score":0.2341837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2769088119","doi":"10.3390/ijgi6120387","title":"Machine Learning Techniques for Modelling Short Term Land-Use Change","year":2017,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Compute Canada","keywords":"Support vector machine; Geospatial analysis; Ranking (information retrieval); Term (time); Machine learning; Computer science; Representation (politics); Artificial neural network; Artificial intelligence; Data mining; Geography; Cartography","authors":[{"name":"Mileva Samardžić‐Petrović","is_ca":false},{"name":"Miloš Kovačević","is_ca":false},{"name":"Branislav Bajat","is_ca":false},{"name":"Suzana Dragićević","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02955549204331127,"gpt":0.2743111776975799,"spread":0.2447556856542686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001383823,0.0008405678,0.0005794256,0.001473158,0.0002154651,0.0009026548,0.0007555129,0.0007921582,0.000889645],"category_scores_gemma":[0.00385138,0.0002734838,0.000759734,0.001944474,0.0002628827,0.001129444,0.0003598972,0.001013926,0.0003682781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005788424,"about_ca_system_score_gemma":0.0004745697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006867533,"about_ca_topic_score_gemma":0.004580275,"domain_scores_codex":[0.9994941,0.000206146,0.00005593227,0.00007892785,0.0001352439,0.00002976257],"domain_scores_gemma":[0.9983051,0.001291914,0.0001629549,0.00006854969,0.0001565076,0.0000150044],"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":[0.00002266907,0.00004109237,0.003048936,0.00009533247,0.00009129818,0.00005112205,0.00005244634,0.9287631,0.001022644,0.00295872,0.0003198012,0.06353281],"study_design_scores_gemma":[0.000001584098,0.00001437598,0.0005603057,0.0000109137,0.000006554348,0.00001248466,0.00001233756,0.9960426,0.0003111491,0.002652022,0.0003702692,0.00000548753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04767977,0.001087792,0.9486832,0.00019795,0.00004385718,0.00005858177,0.0004035257,0.0006003877,0.001244864],"genre_scores_gemma":[0.7443353,0.001402799,0.2519171,0.00005300432,0.00006573635,0.0002686012,0.0007554517,0.00004762791,0.001154404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006867533,"threshold_uncertainty_score":0.01365513,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3210212448","doi":"10.3390/ijgi10110735","title":"Point-of-Interest (POI) Data Validation Methods: An Urban Case Study","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Usability; Point of interest; Data mining; Thematic map; Data quality; Workflow; Data validation; Transparency (behavior); Completeness (order theory); Consistency (knowledge bases); Database; Artificial intelligence; Cartography; Geography","authors":[{"name":"Lih Wei Yeow","is_ca":true},{"name":"Raymond Low","is_ca":false},{"name":"Yu Xiang Tan","is_ca":false},{"name":"Lynette Cheah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1568334019250564,"gpt":0.4566178357614887,"spread":0.2997844338364324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02605105,0.0005925775,0.0005757437,0.002412502,0.002137202,0.002623922,0.002166156,0.001398881,0.001142614],"category_scores_gemma":[0.04581982,0.0004206302,0.001024475,0.006110797,0.00181584,0.002464755,0.002626042,0.0009482634,0.0006471352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003147502,"about_ca_system_score_gemma":0.002961772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03329778,"about_ca_topic_score_gemma":0.03614867,"domain_scores_codex":[0.9781864,0.01223688,0.001735806,0.001400875,0.005885431,0.0005544713],"domain_scores_gemma":[0.9350514,0.03335148,0.003488963,0.008676343,0.01885659,0.000575249],"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":[0.0007230815,0.001320104,0.3127455,0.003382884,0.0005299746,0.006044624,0.02636608,0.1163637,0.007392564,0.03834502,0.02504985,0.4617365],"study_design_scores_gemma":[0.0002960436,0.001264265,0.2041271,0.003572928,0.0005412984,0.006145068,0.04900913,0.4010028,0.05903663,0.02274328,0.2516151,0.0006464814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6482081,0.001049715,0.3188116,0.002523242,0.0001833055,0.002418797,0.004704763,0.001086143,0.0210143],"genre_scores_gemma":[0.709823,0.0007580138,0.2801385,0.000264488,0.00003914298,0.001226564,0.004340357,0.0003172185,0.003092786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03329778,"threshold_uncertainty_score":0.1377727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3178743083","doi":"10.3390/ijgi10070471","title":"Panoramic Street-Level Imagery in Data-Driven Urban Research: A Comprehensive Global Review of Applications, Techniques, and Practical Considerations","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Panorama; Pedestrian; Computer science; Scale (ratio); Data science; Geography; Cartography; Transport engineering; Artificial intelligence; Engineering","authors":[{"name":"Jonathan Cinnamon","is_ca":true},{"name":"Lindi Jahiu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1103037261864708,"gpt":0.4161843416295197,"spread":0.3058806154430488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005713192,0.0009404594,0.001144272,0.006142687,0.0004708178,0.004209099,0.0018475,0.001417508,0.002565657],"category_scores_gemma":[0.009059466,0.0009286838,0.0009800536,0.01110076,0.001914645,0.005412267,0.001478786,0.001912271,0.001563259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459149,"about_ca_system_score_gemma":0.001544392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006764139,"about_ca_topic_score_gemma":0.008257551,"domain_scores_codex":[0.9975796,0.0008462113,0.00023396,0.0003559953,0.000893392,0.00009092788],"domain_scores_gemma":[0.9913331,0.005411113,0.0004041844,0.0004249391,0.002308241,0.0001184611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00005814096,0.0000436047,0.002748061,0.01302885,0.0001840891,0.0001463365,0.0005048271,0.003248323,0.001659356,0.0262451,0.03602451,0.9161088],"study_design_scores_gemma":[0.00001109987,0.00007308188,0.006138614,0.01056906,0.0002012974,0.0007844869,0.001153874,0.004654068,0.00235301,0.02065679,0.9532822,0.0001224213],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001888413,0.9593749,0.02572287,0.003329228,0.0005818605,0.0001027274,0.0005349952,0.0001540895,0.008310865],"genre_scores_gemma":[0.01552019,0.9461882,0.03441468,0.000797487,0.0008238085,0.00009365649,0.0008587639,0.0001430973,0.001160191],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006764139,"threshold_uncertainty_score":0.03021461,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955059592","doi":"10.3390/ijgi8070296","title":"Application of Remote Sensing to the Investigation of Rock Slopes: Experience Gained and Lessons Learned","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"BGC Engineering (Canada); Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Rockfall; Geotechnics; Geology; Slope stability; Landslide; Terrain; Lithology; Discontinuity (linguistics); Remote sensing; Field (mathematics); Rock mass classification; Geotechnical engineering; Mining engineering; Petrology; Cartography; Geography","authors":[{"name":"Doug Stead","is_ca":true},{"name":"Davide Donati","is_ca":true},{"name":"Andrea Wolter","is_ca":false},{"name":"Matthieu Sturzenegger","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009223165259865914,"gpt":0.2586855744281412,"spread":0.2494624091682753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00945874,0.00122048,0.0006416249,0.001426882,0.0004744588,0.00168702,0.002220898,0.001568298,0.001408952],"category_scores_gemma":[0.006450205,0.0002577959,0.0005113327,0.001567581,0.002877109,0.00258505,0.001687502,0.001349164,0.0005359729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006713626,"about_ca_system_score_gemma":0.001131864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004629795,"about_ca_topic_score_gemma":0.006052879,"domain_scores_codex":[0.9973973,0.00114885,0.0001458456,0.0004831124,0.0006103165,0.0002144843],"domain_scores_gemma":[0.9946837,0.002972315,0.0001540405,0.0004563688,0.001303497,0.0004300618],"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":[0.0001713854,0.0007142563,0.01937346,0.00128249,0.0001079973,0.00124247,0.008324626,0.007516488,0.02210457,0.003822574,0.003980172,0.9313595],"study_design_scores_gemma":[0.0003200304,0.00761084,0.1409976,0.007471139,0.0004893927,0.01554115,0.06841579,0.03700579,0.0934648,0.05134915,0.5764051,0.0009291534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5731041,0.1559657,0.1725565,0.01677806,0.0006657602,0.0004923082,0.0003575461,0.0004674299,0.07961249],"genre_scores_gemma":[0.6110308,0.1453645,0.2290931,0.002431433,0.001088072,0.0001153371,0.0004977724,0.0002191622,0.01015975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00945874,"threshold_uncertainty_score":0.0500232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789922724","doi":"10.3390/ijgi7040131","title":"The Role of Social Factors in the Accessibility of Urban Areas for People with Motor Disabilities","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Secretário de Ciência, Tecnologia e Ensino Superior, Governo do Estado de Parana","keywords":"Pedestrian; Disabled people; Dimension (graph theory); Work (physics); Computer science; Business; Transport engineering; Psychology; Applied psychology; Engineering","authors":[{"name":"Amin Gharebaghi","is_ca":true},{"name":"Mir Abolfazl Mostafavi","is_ca":true},{"name":"Seyed Hossein Chavoshi","is_ca":true},{"name":"Geoffrey Edwards","is_ca":true},{"name":"Patrick Fougeyrollas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01071592510673645,"gpt":0.2974109714379857,"spread":0.2866950463312492,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000920496,0.0002562936,0.0002143772,0.002252398,0.001161064,0.001844706,0.0004384247,0.0003040658,0.002744774],"category_scores_gemma":[0.004157036,0.0001083961,0.0003514291,0.001839885,0.001337542,0.0007623731,0.001601994,0.0002618476,0.0001359285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003729852,"about_ca_system_score_gemma":0.001983738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2727468,"about_ca_topic_score_gemma":0.4436609,"domain_scores_codex":[0.9991679,0.0004186051,0.00003803677,0.00006324212,0.0001727613,0.0001395388],"domain_scores_gemma":[0.9978071,0.0008651212,0.0004956066,0.00008447031,0.0005387348,0.0002090062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001214977,0.0001303842,0.9263038,0.0001512118,0.00008692942,0.0004239388,0.008222553,0.006986818,0.000643344,0.004933168,0.000528775,0.0514676],"study_design_scores_gemma":[0.000003632191,0.00007722939,0.9743532,0.00006183614,0.00005688068,0.00008802831,0.01571253,0.005961746,0.0002464801,0.00188658,0.001532254,0.00001954998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846947,0.0002827722,0.001816464,0.0003257862,0.000004668234,0.0000642392,0.0003066034,0.00001464346,0.01249023],"genre_scores_gemma":[0.9992839,0.0000706464,0.0004061835,0.000004748467,0.000001561586,0.000009388058,0.0000308906,0.000001136475,0.0001916787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2727468,"threshold_uncertainty_score":0.5423185,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004091940","doi":"10.3390/ijgi9020088","title":"A Survey on Big Data for Trajectory Analytics","year":2020,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Trajectory; Big data; Computer science; Data warehouse; Data science; Field (mathematics); Global Positioning System; Online analytical processing; Analytics; Data management; Urban computing; Volume (thermodynamics); Data analysis; Data mining; Search engine indexing; Information retrieval; Human–computer interaction; Telecommunications","authors":[{"name":"Damião Ribeiro de Almeida","is_ca":false},{"name":"Cláudio de Souza Baptista","is_ca":false},{"name":"Fabio Gomes de Andrade","is_ca":false},{"name":"Amílcar Soares","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1056470972400214,"gpt":0.3069206289142962,"spread":0.2012735316742748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004902485,0.001749369,0.001831779,0.01054632,0.001502313,0.006390727,0.002705942,0.001876338,0.00734786],"category_scores_gemma":[0.01529399,0.0008622943,0.001483203,0.03312517,0.0013371,0.01409779,0.003353583,0.002880094,0.003514229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178221,"about_ca_system_score_gemma":0.00342056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003788226,"about_ca_topic_score_gemma":0.003436403,"domain_scores_codex":[0.9939468,0.001343625,0.0007047206,0.000742056,0.002981779,0.0002809413],"domain_scores_gemma":[0.9837146,0.009642269,0.0007493146,0.001574981,0.003817403,0.0005013797],"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":[0.0001581671,0.000103041,0.005030863,0.01375205,0.0001777505,0.0003251472,0.0005613535,0.004811616,0.001417305,0.112329,0.1487565,0.7125773],"study_design_scores_gemma":[0.0000084139,0.0000476191,0.002216477,0.004126665,0.00005896998,0.0004255118,0.0006435526,0.005285015,0.0009809876,0.04163419,0.9445081,0.0000644764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006109923,0.7859399,0.1205758,0.02003121,0.003986943,0.0006135995,0.01322482,0.001808285,0.04770946],"genre_scores_gemma":[0.0308576,0.8410011,0.09151015,0.005141742,0.004037765,0.0005235754,0.02134194,0.0005054608,0.005080761],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01054632,"threshold_uncertainty_score":0.02592713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2623307522","doi":"10.3390/ijgi6060168","title":"Pan-Sharpening of Landsat-8 Images and Its Application in Calculating Vegetation Greenness and Canopy Water Contents","year":2017,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Panchromatic film; Normalized Difference Vegetation Index; Image resolution; Remote sensing; Vegetation (pathology); Multispectral image; Sharpening; Environmental science; Enhanced vegetation index; Canopy; Thematic Mapper; Leaf area index; Vegetation Index; Satellite imagery; Geography; Physics; Optics; Ecology","authors":[{"name":"Khan Rubayet Rahaman","is_ca":true},{"name":"Quazi K. Hassan","is_ca":true},{"name":"M. Razu Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006483482852973365,"gpt":0.257612838876635,"spread":0.2511293560236617,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000661433,0.0006795352,0.000296956,0.002032129,0.0001829382,0.0004339003,0.0004138107,0.0004152447,0.0009114359],"category_scores_gemma":[0.0007957841,0.000401754,0.0005856736,0.001574083,0.000251406,0.0007698506,0.000334488,0.0004649504,0.0002901805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001917062,"about_ca_system_score_gemma":0.0002545879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570889,"about_ca_topic_score_gemma":0.002499658,"domain_scores_codex":[0.999643,0.00004735128,0.00002343589,0.0001279326,0.0001327128,0.00002549494],"domain_scores_gemma":[0.9997732,0.00004549134,0.00005165823,0.00002699602,0.00009314724,0.000009456398],"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":[0.0003095318,0.0001613444,0.01625351,0.0008559646,0.000213459,0.0002755043,0.0003468361,0.0378372,0.3651002,0.002879864,0.001920693,0.5738458],"study_design_scores_gemma":[0.00004709605,0.0004023284,0.1399598,0.00008819999,0.0003428918,0.001360578,0.0003084562,0.5234236,0.3153311,0.003646659,0.01488933,0.0001999528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2477365,0.001425727,0.7431391,0.00007298768,0.00004771963,0.0002263661,0.0006374388,0.002088707,0.004625503],"genre_scores_gemma":[0.4703213,0.001168232,0.5247514,0.00005279664,0.00002988215,0.0001594587,0.0008877849,0.0001512559,0.002477859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002032129,"threshold_uncertainty_score":0.003498018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981664452","doi":"10.3390/ijgi8110474","title":"GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Österreichische Forschungsförderungsgesellschaft; Austrian Science Fund; European Commission","keywords":"Big data; Context (archaeology); Computer science; Data science; Geographic information system; Analytics; Spatial analysis; Earth observation; Spatial contextual awareness; Object (grammar); Inference; Data mining; Remote sensing; Cartography; Geography; Artificial intelligence; Engineering","authors":[{"name":"Stefan Lang","is_ca":false},{"name":"Geoffrey J. Hay","is_ca":true},{"name":"Andrea Baraldi","is_ca":false},{"name":"Dirk Tiede","is_ca":false},{"name":"Thomas Blaschke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05059172061919632,"gpt":0.2540544179514229,"spread":0.2034626973322265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003647203,0.0005083954,0.0005054221,0.002567064,0.0006626753,0.005094076,0.000792703,0.001124213,0.001468151],"category_scores_gemma":[0.004772096,0.0003036721,0.000426812,0.003851372,0.003173351,0.009556357,0.002849718,0.001693162,0.0006010841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012277,"about_ca_system_score_gemma":0.001210292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002106338,"about_ca_topic_score_gemma":0.002311715,"domain_scores_codex":[0.9989213,0.0004023626,0.00005942539,0.0001760745,0.0003724446,0.00006839645],"domain_scores_gemma":[0.9972531,0.001451081,0.0002137146,0.000345908,0.0006146845,0.0001214418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004260536,0.00002493015,0.004245066,0.0008112554,0.00003631864,0.0001872769,0.001049382,0.005634787,0.001484804,0.7865497,0.008707233,0.1912266],"study_design_scores_gemma":[0.00000567693,0.00005586235,0.005383495,0.0005422454,0.00003802341,0.0005365054,0.002846165,0.02291451,0.001947638,0.5319738,0.4337049,0.00005111036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04768811,0.2953706,0.5028608,0.06923625,0.002288816,0.00009056018,0.0009907376,0.0007028772,0.08077122],"genre_scores_gemma":[0.5369458,0.206343,0.2377709,0.004628592,0.005043359,0.0001426712,0.0009967227,0.0002820998,0.007846862],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005094076,"threshold_uncertainty_score":0.01928854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3031053999","doi":"10.3390/ijgi9060342","title":"Ambient Population and Larceny-Theft: A Spatial Analysis Using Mobile Phone Data","year":2020,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Office for Philosophy and Social Sciences; Ministry of Education of the People's Republic of China; Major Program of National Fund of Philosophy and Social Science of China; National Natural Science Foundation of China","keywords":"Population; Mobile phone; Phone; Geography; Crime prevention; Population size; Demography; Econometrics; Criminology; Computer science; Psychology; Mathematics; Sociology; Telecommunications","authors":[{"name":"Li He","is_ca":false},{"name":"Antonio Páez","is_ca":true},{"name":"Jianmin Jiao","is_ca":false},{"name":"Ping An","is_ca":false},{"name":"Chuntian Lu","is_ca":false},{"name":"Mao Wen","is_ca":false},{"name":"Dongping Long","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03163962255468893,"gpt":0.3370322963281156,"spread":0.3053926737734267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008100534,0.0003692743,0.0003323773,0.003931561,0.0003799865,0.001205208,0.0003826578,0.0003236688,0.001045187],"category_scores_gemma":[0.003904328,0.0001446466,0.0007735861,0.004913759,0.0006558029,0.001199282,0.001134238,0.0004381836,0.0002349776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004769862,"about_ca_system_score_gemma":0.0003734067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824945,"about_ca_topic_score_gemma":0.01444345,"domain_scores_codex":[0.9994146,0.0002061198,0.0000435499,0.0001464438,0.0001397733,0.00004955114],"domain_scores_gemma":[0.9980075,0.0009890907,0.0004367405,0.000221991,0.0002342104,0.0001104009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001154244,0.00007500905,0.9265316,0.0001224422,0.0003339548,0.0005233585,0.001086598,0.02057728,0.001022641,0.005762975,0.001404394,0.04244439],"study_design_scores_gemma":[0.000009211489,0.0001085132,0.830533,0.00007844661,0.0001338033,0.000537753,0.003339906,0.1550403,0.0007196089,0.005060732,0.004372229,0.00006643673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959928,0.0005215179,0.0340864,0.0003195923,0.00003521879,0.0000686557,0.002330863,0.000134459,0.002575253],"genre_scores_gemma":[0.992173,0.0001941052,0.00598446,0.00001326215,0.00002714364,0.00002597024,0.001244376,0.000009883928,0.0003279459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01824945,"threshold_uncertainty_score":0.03628647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2182254212","doi":"10.3390/ijgi4042704","title":"Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools—Challenges and Opportunities for Operative Risk Analysis","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Flood myth; Geospatial analysis; Risk management; Context (archaeology); Directive; Business; Risk governance; Environmental resource management; Natural hazard; Risk analysis (engineering); Flood risk assessment; Flood risk management; Environmental planning; Geography; Computer science; Finance; Environmental science","authors":[{"name":"Raffaele Albano","is_ca":false},{"name":"Leonardo Mancusi","is_ca":false},{"name":"Aurelia Sole","is_ca":false},{"name":"Jan Adamowski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02051336177526284,"gpt":0.2805542872488325,"spread":0.2600409254735697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03178527,0.001228636,0.0009425962,0.004383019,0.002789374,0.01656265,0.003913084,0.005229546,0.004996995],"category_scores_gemma":[0.03516192,0.0005096316,0.001450291,0.003782472,0.009795289,0.02782052,0.01862602,0.002928988,0.001076558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003065565,"about_ca_system_score_gemma":0.005713338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001922983,"about_ca_topic_score_gemma":0.001271402,"domain_scores_codex":[0.9841008,0.01054253,0.0009425574,0.0009808537,0.002755856,0.0006775383],"domain_scores_gemma":[0.9657809,0.02133344,0.002738842,0.005957759,0.002282755,0.001906209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004958424,0.0001435181,0.001739293,0.0005794426,0.00007162301,0.0004775959,0.01205393,0.006697219,0.0008748509,0.7587826,0.008656127,0.2098742],"study_design_scores_gemma":[0.0000205669,0.00008123158,0.001142217,0.001489611,0.00003114933,0.0003331883,0.01014271,0.01444483,0.000817758,0.7922586,0.179148,0.00009009206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05276753,0.01198983,0.687225,0.09105482,0.0007943326,0.0004059281,0.000268474,0.001695277,0.1537989],"genre_scores_gemma":[0.5302225,0.010005,0.4429924,0.002041385,0.0005139443,0.0005380581,0.0003922314,0.0004298873,0.01286445],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03178527,"threshold_uncertainty_score":0.1680986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2991218891","doi":"10.3390/ijgi8120548","title":"Surface Reconstruction for Three-Dimensional Rockfall Volumetric Analysis","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rockfall; Point cloud; Computer science; Photogrammetry; Volume (thermodynamics); Surface reconstruction; Interpolation (computer graphics); Geology; Digital elevation model; Computer graphics (images); Surface (topology); Algorithm; Geometry; Computer vision; Remote sensing; Animation; Mathematics; Landslide; Geomorphology","authors":[{"name":"David Bonneau","is_ca":true},{"name":"Paul-Mark DiFrancesco","is_ca":true},{"name":"D. Jean Hutchinson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00531162845435653,"gpt":0.2281918003466691,"spread":0.2228801718923126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006180407,0.0005792257,0.0004056304,0.0009344558,0.0003234047,0.001510591,0.001137298,0.0007743805,0.005381305],"category_scores_gemma":[0.002793578,0.0004921455,0.00088685,0.00075055,0.0004396314,0.0007357271,0.001267823,0.001127722,0.001834992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004482021,"about_ca_system_score_gemma":0.0007045419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003308941,"about_ca_topic_score_gemma":0.003905335,"domain_scores_codex":[0.9995804,0.00004448913,0.00002093197,0.00004218538,0.0002812669,0.00003069862],"domain_scores_gemma":[0.9991055,0.0003433804,0.00006186246,0.000120759,0.000343273,0.00002531019],"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":[0.00008105034,0.00008125838,0.003169624,0.0002610449,0.0000584314,0.0003100966,0.0005793478,0.5932339,0.03467552,0.03552615,0.007873369,0.3241501],"study_design_scores_gemma":[0.000003297515,0.00001177195,0.00035318,0.00001274666,0.000002867074,0.00008850014,0.00006793784,0.9857383,0.00409896,0.004465031,0.005146046,0.00001130802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004188681,0.00002783092,0.9933102,0.00004607406,0.00001256972,0.00003407607,0.00008589334,0.00123392,0.001060827],"genre_scores_gemma":[0.1864623,0.0002469587,0.8081168,0.00006861222,0.00001966977,0.0001736904,0.001082494,0.0009500657,0.002879388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005381305,"threshold_uncertainty_score":0.01800227,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006488799","doi":"10.3390/ijgi4010001","title":"Measure of Landmark Semantic Salience through Geosocial Data Streams","year":2014,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Landmark; Salience (neuroscience); Computer science; Semantic similarity; Information retrieval; Artificial intelligence","authors":[{"name":"Teriitutea Quesnot","is_ca":true},{"name":"Stéphane Roche","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01241250688168402,"gpt":0.2508237643511547,"spread":0.2384112574694707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002193516,0.000684412,0.0007510268,0.009471186,0.0006037721,0.001697785,0.0007895086,0.001107875,0.000963911],"category_scores_gemma":[0.01568417,0.0002123886,0.0004721063,0.008104425,0.0008149713,0.004600814,0.002395232,0.0007251761,0.0004223245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000841843,"about_ca_system_score_gemma":0.0007262639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653551,"about_ca_topic_score_gemma":0.003243297,"domain_scores_codex":[0.9976465,0.0005671522,0.0002869203,0.0005014556,0.0008408635,0.0001570506],"domain_scores_gemma":[0.9925343,0.003125775,0.001674935,0.0006716824,0.001679136,0.0003141056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002001171,0.0009658531,0.5021336,0.001517632,0.0007363593,0.001044222,0.004330491,0.06337573,0.01423939,0.04388311,0.01183111,0.3539413],"study_design_scores_gemma":[0.00008371194,0.0005766492,0.383807,0.0003064384,0.0004530443,0.001106077,0.008431937,0.4861827,0.01540523,0.07563606,0.02773746,0.0002737644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7822534,0.001439444,0.1860381,0.001030534,0.0002026846,0.0005300901,0.01759962,0.0008949999,0.01001114],"genre_scores_gemma":[0.952591,0.0003070912,0.03784363,0.00005050201,0.00007510302,0.0002423304,0.008417367,0.00004251584,0.0004305105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009471186,"threshold_uncertainty_score":0.01160055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211735256","doi":"10.3390/ijgi10110773","title":"Predicting Spatiotemporal Demand of Dockless E-Scooter Sharing Services with a Masked Fully Convolutional Network","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Convolutional neural network; Process (computing); Demand forecasting; Simulation; Real-time computing; Artificial intelligence; Operations research; Engineering","authors":[{"name":"Santi Phithakkitnukooon","is_ca":false},{"name":"Karn Patanukhom","is_ca":false},{"name":"Merkebe Getachew Demissie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005072780632099969,"gpt":0.2224429190208418,"spread":0.2173701383887418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001386065,0.0006836499,0.0002443975,0.0003237475,0.0001397791,0.000270173,0.00062926,0.0003885536,0.001072099],"category_scores_gemma":[0.0004803034,0.0002141569,0.0003433853,0.0003807872,0.0001402444,0.000577473,0.0003441393,0.00052579,0.0003413811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007120401,"about_ca_system_score_gemma":0.0005967475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04652015,"about_ca_topic_score_gemma":0.04557359,"domain_scores_codex":[0.9999301,0.000005473547,0.000003088987,0.00002380736,0.00001584829,0.00002160756],"domain_scores_gemma":[0.9998921,0.00002736171,0.00001327333,0.00001271256,0.00004361066,0.00001093011],"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":[0.000264022,0.000179452,0.01689612,0.00003813353,0.00004498579,0.0001582829,0.00003379797,0.8783165,0.006468885,0.0007795813,0.005366485,0.09145387],"study_design_scores_gemma":[9.340411e-7,0.000005271947,0.0008365436,8.654944e-7,0.000001854458,0.000002779907,0.000002526162,0.9986771,0.0003082064,0.00008819742,0.00007436514,0.000001425458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8889457,0.0003922604,0.1004164,0.0006313793,0.0001467484,0.00002649277,0.002758497,0.001544966,0.005137578],"genre_scores_gemma":[0.9874041,0.00008849006,0.008032745,0.00005949939,0.00001602054,0.00001110199,0.002100047,0.00001716057,0.00227092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04652015,"threshold_uncertainty_score":0.09249872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2026220531","doi":"10.3390/ijgi3020481","title":"Web GIS-Based Public Health Surveillance Systems: A Systematic Review","year":2014,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Wuhan University","keywords":"Metadata; Public health; World Wide Web; Geographic information system; GIS and public health; Web standards; Disease surveillance; Social media; Citizen journalism; Web application; Computer science; Volunteered geographic information; Web mapping; Public participation GIS; Data science; The Internet; Geography; Medicine; Cartography","authors":[{"name":"Hui Luan","is_ca":true},{"name":"Jane Law","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03285923038692668,"gpt":0.3585451237153916,"spread":0.3256858933284649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006817213,0.001280916,0.004008464,0.01436115,0.0005745098,0.002137762,0.002054964,0.001432696,0.005099492],"category_scores_gemma":[0.03111202,0.0008692477,0.003691755,0.01672596,0.0007130325,0.002886641,0.001448804,0.0009653461,0.000515432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002816786,"about_ca_system_score_gemma":0.01496877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177515,"about_ca_topic_score_gemma":0.02428422,"domain_scores_codex":[0.9951208,0.001671048,0.001704315,0.0003292006,0.001050534,0.0001240275],"domain_scores_gemma":[0.9725888,0.02054822,0.003003515,0.000360178,0.003175277,0.0003239972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009623247,0.00005047954,0.0009972283,0.7310893,0.002003731,0.0001189885,0.0003451677,0.000214645,0.0001237753,0.0006236926,0.005670628,0.2586661],"study_design_scores_gemma":[0.00009933497,0.000238706,0.005738504,0.8674189,0.01339027,0.0006654261,0.0007076989,0.0002256665,0.0003091081,0.0006623495,0.1104866,0.00005751721],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003045601,0.9987747,0.0001272688,0.0001995261,0.00005247635,0.00009746586,0.0001785139,0.000006381689,0.000259134],"genre_scores_gemma":[0.002906597,0.996079,0.0005410889,0.000129579,0.00003002442,0.00012597,0.0001386973,0.000002484718,0.00004656064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01436115,"threshold_uncertainty_score":0.03605324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802405474","doi":"10.3390/ijgi7050171","title":"Coupling Traditional Monitoring and Citizen Science to Disentangle the Invasion of Halyomorpha halys","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Provincia Autonoma di Trento","keywords":"Pentatomidae; Citizen science; PEST analysis; Invasive species; Phenology; Agriculture; Ecology; Range (aeronautics); Hemiptera; Environmental resource management; Geography; Biology; Environmental science; Engineering","authors":[{"name":"Robert Malek","is_ca":false},{"name":"Clara Tattoni","is_ca":false},{"name":"Marco Ciolli","is_ca":false},{"name":"Stefano Corradini","is_ca":false},{"name":"D. Andreis","is_ca":false},{"name":"Aya Ibrahim","is_ca":false},{"name":"Valerio Mazzoni","is_ca":false},{"name":"Anna Eriksson","is_ca":false},{"name":"Gianfranco Anfora","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0291061372104846,"gpt":0.2579943882321247,"spread":0.2288882510216401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002244699,0.0003467091,0.0003815948,0.002018181,0.0004980903,0.001499514,0.0004471941,0.0007242209,0.001289368],"category_scores_gemma":[0.002977987,0.0002122694,0.000278053,0.001749721,0.0004845317,0.001733736,0.0021484,0.0004951511,0.000367943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005285882,"about_ca_system_score_gemma":0.001541731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006265332,"about_ca_topic_score_gemma":0.01788479,"domain_scores_codex":[0.9981907,0.0008897594,0.00006463095,0.0003261057,0.0003183778,0.0002104264],"domain_scores_gemma":[0.997225,0.001153508,0.0004232577,0.0004998751,0.0005160745,0.000182295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004641611,0.001133081,0.489591,0.0008398526,0.000247478,0.0005456557,0.007506137,0.007575578,0.01914786,0.006440792,0.006995271,0.4595132],"study_design_scores_gemma":[0.00009797105,0.001960015,0.697738,0.0007998802,0.0004315115,0.0005557382,0.03642622,0.1321863,0.0201824,0.02100667,0.08845753,0.0001577486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8709138,0.0006761692,0.08789309,0.001951159,0.0001221459,0.0006837529,0.002859547,0.0006662588,0.03423392],"genre_scores_gemma":[0.9548081,0.0004115177,0.04138075,0.000241961,0.00004082306,0.0002809633,0.0009867524,0.00002816752,0.001820976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006265332,"threshold_uncertainty_score":0.01245773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3010317630","doi":"10.3390/ijgi9030146","title":"A Review of Geospatial Semantic Information Modeling and Elicitation Approaches","year":2020,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Geospatial analysis; Ontology; Semantics (computer science); Information retrieval; Metadata; Data science; Metadata modeling; Set (abstract data type); World Wide Web; Metadata repository; Geography","authors":[{"name":"Margarita Kokla","is_ca":false},{"name":"Éric Guilbert","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05491818470431312,"gpt":0.308831940206445,"spread":0.2539137555021319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005032381,0.00163061,0.001767233,0.01221404,0.000970459,0.004453478,0.002864933,0.002366579,0.005475892],"category_scores_gemma":[0.0101541,0.0009037007,0.001222997,0.02092751,0.001854636,0.007316621,0.002143246,0.002011355,0.003460844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003449984,"about_ca_system_score_gemma":0.004775012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006115969,"about_ca_topic_score_gemma":0.006013965,"domain_scores_codex":[0.9966404,0.001026305,0.0004687402,0.0004014258,0.001331067,0.0001320727],"domain_scores_gemma":[0.9890118,0.008057518,0.0004685934,0.000466354,0.00187063,0.0001250601],"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":[0.0000369921,0.0001082053,0.000495421,0.02448053,0.0001063416,0.000176942,0.0008597611,0.002169042,0.001013473,0.08520192,0.03404488,0.8513066],"study_design_scores_gemma":[0.000006420122,0.00003051245,0.0007253165,0.01044538,0.000100786,0.0005102037,0.0006915551,0.001215343,0.0009731271,0.02999645,0.9552495,0.00005541502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009479714,0.9210823,0.04614644,0.003677716,0.0006178309,0.0001861535,0.0004608675,0.0002535048,0.02662725],"genre_scores_gemma":[0.005239803,0.9570659,0.03349781,0.0007545586,0.0003982115,0.0001611402,0.0004905769,0.00006338778,0.002328729],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01221404,"threshold_uncertainty_score":0.02661407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4290999446","doi":"10.3390/ijgi11080447","title":"Characterizing Production–Living–Ecological Space Evolution and Its Driving Factors: A Case Study of the Chaohu Lake Basin in China from 2000 to 2020","year":2022,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Hunan Province","keywords":"Geography; Landscape ecology; Driving factors; China; Urbanization; Landscape planning; Dominance (genetics); Population; Spatial ecology; Environmental resource management; Structural basin; Ecology; Physical geography; Environmental science; Habitat; Geology","authors":[{"name":"Ruyi Zhang","is_ca":false},{"name":"Songnian Li","is_ca":true},{"name":"Baojing Wei","is_ca":false},{"name":"Xu Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006127717719037853,"gpt":0.2145697214389324,"spread":0.2084420037198946,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000450021,0.0002761255,0.0002144215,0.001586106,0.00108286,0.0007182237,0.0005865976,0.0004984399,0.0007495625],"category_scores_gemma":[0.0008138237,0.000213163,0.0004675831,0.003482194,0.0008658189,0.0007611474,0.0008630679,0.0003423964,0.00004906556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004772463,"about_ca_system_score_gemma":0.001994562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2912531,"about_ca_topic_score_gemma":0.4426229,"domain_scores_codex":[0.999728,0.00006158851,0.00001663942,0.00003966628,0.00006082815,0.00009320994],"domain_scores_gemma":[0.999669,0.00008069595,0.00006355057,0.00002489602,0.00008325887,0.00007864784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005907571,0.0001692894,0.9674988,0.0000691061,0.00007309904,0.00519958,0.004285688,0.005796213,0.00175703,0.001011505,0.0007506144,0.01333006],"study_design_scores_gemma":[0.000005992436,0.00005173003,0.9706814,0.00001388639,0.00003142739,0.0002832906,0.01012711,0.01710904,0.0003991815,0.0002503798,0.001021988,0.00002465395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999311,0.00004176009,0.0001083607,0.00007615446,0.000001315059,0.000009233546,0.0001037785,0.000002913033,0.0003454242],"genre_scores_gemma":[0.9993008,0.00005717971,0.0002073814,0.00001230067,0.000001686721,0.00001023517,0.0001525278,0.000001420716,0.0002564829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2912531,"threshold_uncertainty_score":0.5791157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2396501417","doi":"10.3390/ijgi5060074","title":"Understanding Public Opinions from Geosocial Media","year":2016,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"","keywords":"Social media; Geospatial analysis; Relevance (law); Complement (music); Data science; Computer science; World Wide Web; Political science; Geography; Cartography","authors":[{"name":"Shanqi Zhang","is_ca":true},{"name":"Rob Feick","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09757246944540082,"gpt":0.3142248842694515,"spread":0.2166524148240507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002061053,0.0003753826,0.0002011516,0.00370032,0.0009456695,0.00461282,0.0004182824,0.0009708992,0.003653943],"category_scores_gemma":[0.01148788,0.0002495338,0.0003580352,0.002972763,0.001586779,0.007091834,0.002107367,0.0008362429,0.0005248802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002160164,"about_ca_system_score_gemma":0.0007692541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02519803,"about_ca_topic_score_gemma":0.03024199,"domain_scores_codex":[0.9985606,0.0008689458,0.00005388761,0.0001365872,0.0002634554,0.0001165033],"domain_scores_gemma":[0.9933277,0.004462608,0.0009207412,0.000315918,0.0008049173,0.0001680467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002989798,0.000407984,0.4385322,0.000898623,0.0002827875,0.002050603,0.1289731,0.0230799,0.003776574,0.1904777,0.02297099,0.1882507],"study_design_scores_gemma":[0.00004660069,0.0001533293,0.2727502,0.0007385024,0.0001645552,0.0003678602,0.2848081,0.1338413,0.002203348,0.1770055,0.1277648,0.0001557784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8813192,0.0007429782,0.02543085,0.01002774,0.0001044072,0.0002239514,0.003808275,0.0001162323,0.07822629],"genre_scores_gemma":[0.9944803,0.0003495362,0.003094879,0.0001867236,0.00004503477,0.00006637579,0.0006229146,0.00001524116,0.00113906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02519803,"threshold_uncertainty_score":0.05010277,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3127233354","doi":"10.3390/ijgi10020063","title":"A GIS-Based System for Spatial-Temporal Availability Evaluation of the Open Spaces Used as Emergency Shelters: The Case of Victoria, British Columbia, Canada","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Key Research and Development Program of China; Government of Jiangsu Province","keywords":"TOPSIS; Environmental planning; Emergency management; Geography; Distribution (mathematics); Service (business); Population; Transport engineering; Space (punctuation); Computer science; Environmental resource management; Business; Operations research; Engineering; Political science; Environmental science; Sociology","authors":[{"name":"Yibing Yao","is_ca":false},{"name":"Yuyang Zhang","is_ca":false},{"name":"Taoyu Yao","is_ca":false},{"name":"Ka Po Wong","is_ca":false},{"name":"Jin Yeu Tsou","is_ca":false},{"name":"Yuanzhi Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01214869579154203,"gpt":0.2647917031478306,"spread":0.2526430073562886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001138497,0.0007218414,0.0004400293,0.003977089,0.002232788,0.003094795,0.001001585,0.0004273189,0.004539849],"category_scores_gemma":[0.00323295,0.000308855,0.0004424867,0.006677323,0.0005846867,0.0008819065,0.001111528,0.0003658211,0.0006374138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01980375,"about_ca_system_score_gemma":0.02054418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783471,"about_ca_topic_score_gemma":0.9825273,"domain_scores_codex":[0.999228,0.0001385923,0.00006587118,0.000111971,0.0003190316,0.0001365379],"domain_scores_gemma":[0.9978846,0.0003289266,0.000103292,0.0001130227,0.001349484,0.0002207486],"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":[0.00124486,0.0009953952,0.270833,0.001262312,0.00032872,0.004611637,0.0156312,0.2114399,0.01527598,0.02088703,0.05911305,0.3983769],"study_design_scores_gemma":[0.0001037524,0.0001521215,0.1717882,0.0003908758,0.0001645965,0.0003004326,0.02827388,0.7350886,0.004760603,0.002501636,0.05619653,0.000278875],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8077892,0.0006422218,0.05532691,0.0009990344,0.00006446585,0.0024046,0.03448979,0.005163893,0.09311998],"genre_scores_gemma":[0.9129514,0.0003994854,0.06686612,0.00004780469,0.000005083071,0.0003029246,0.008768565,0.0001259673,0.01053256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02165294,"threshold_uncertainty_score":0.143687,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135107705","doi":"10.3390/ijgi10030157","title":"Computational Geometry-Based Surface Reconstruction for Volume Estimation: A Case Study on Magnitude-Frequency Relations for a LiDAR-Derived Rockfall Inventory","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rockfall; Point cloud; Magnitude (astronomy); Photogrammetry; Geology; Lidar; Power law; Geometry; Remote sensing; Computer science; Mathematics; Seismology; Landslide; Statistics; Physics; Computer vision","authors":[{"name":"Paul-Mark DiFrancesco","is_ca":true},{"name":"David Bonneau","is_ca":true},{"name":"D. Jean Hutchinson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01103748695270599,"gpt":0.2637248796925687,"spread":0.2526873927398627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001944627,0.0006446606,0.000575271,0.001249564,0.0003943472,0.001515459,0.0009867544,0.0007310479,0.0008417828],"category_scores_gemma":[0.009026343,0.0003258748,0.0006316602,0.001503886,0.000609795,0.0009341087,0.0008062603,0.000611862,0.0002307979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006826652,"about_ca_system_score_gemma":0.001089611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01982706,"about_ca_topic_score_gemma":0.02009978,"domain_scores_codex":[0.9989005,0.0003291466,0.0000893784,0.0001505453,0.0004468473,0.00008340691],"domain_scores_gemma":[0.9948109,0.003432449,0.0002966786,0.0006060031,0.0007751906,0.00007865421],"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":[0.0002969787,0.0002021397,0.02574965,0.0002332223,0.00006767152,0.0005378376,0.0007407126,0.7459859,0.013026,0.003687931,0.000963427,0.2085086],"study_design_scores_gemma":[0.000008565009,0.0000654958,0.003755316,0.00001332252,0.000007557851,0.0001400981,0.0001757284,0.9897168,0.004510827,0.0006680689,0.0009246092,0.00001363245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7403292,0.0003476931,0.2532669,0.0004742629,0.0000356886,0.0002163733,0.0005876041,0.001715075,0.003027184],"genre_scores_gemma":[0.7962874,0.0001760324,0.2022381,0.00003909665,0.0000115289,0.00004192879,0.0005991462,0.0001844358,0.0004224307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01982706,"threshold_uncertainty_score":0.03942335,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2196828803","doi":"10.3390/ijgi4042561","title":"Data Integration for Climate Vulnerability Mapping in West Africa","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Centre for Applied Research in Cancer Control; United States Agency for International Development; National Aeronautics and Space Administration","keywords":"Vulnerability (computing); Geography; Climate change; Environmental resource management; Vulnerability assessment; Disaster risk reduction; Psychological resilience; Environmental planning; Computer science; Environmental science; Ecology; Computer security","authors":[{"name":"Alex de Sherbinin","is_ca":false},{"name":"Tricia Chai-Onn","is_ca":false},{"name":"Malanding Jaiteh","is_ca":false},{"name":"Valentina Mara","is_ca":false},{"name":"Linda Pistolesi","is_ca":false},{"name":"E. Schnarr","is_ca":false},{"name":"S. Trzaska","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07780539233998442,"gpt":0.3297337851569311,"spread":0.2519283928169467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003532912,0.0005303012,0.0004100947,0.00381701,0.0006765521,0.002467692,0.0005966887,0.0004300155,0.001488767],"category_scores_gemma":[0.01220969,0.000404361,0.0004693258,0.008115864,0.0003245683,0.002305849,0.002416492,0.0006075299,0.0003041513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126076,"about_ca_system_score_gemma":0.001989897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123965,"about_ca_topic_score_gemma":0.02094478,"domain_scores_codex":[0.9978983,0.001206151,0.0002261709,0.0002109018,0.0003296902,0.0001287638],"domain_scores_gemma":[0.9966923,0.001399379,0.0004143275,0.0005739983,0.0007724536,0.000147547],"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":[0.0005195054,0.0003720208,0.1525396,0.001575062,0.000534014,0.001938311,0.01145742,0.06909189,0.01746779,0.03392136,0.01218488,0.6983982],"study_design_scores_gemma":[0.0003120442,0.0003607621,0.2532288,0.002792561,0.0005778619,0.001325289,0.02855419,0.3289998,0.04380347,0.04944413,0.2902692,0.0003318772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7005154,0.003597007,0.2385873,0.004018812,0.0001590334,0.002121381,0.02281064,0.002180532,0.02600998],"genre_scores_gemma":[0.6752401,0.002033063,0.3133631,0.0001151155,0.00002853385,0.0008417217,0.006799651,0.0002306599,0.001348238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02123965,"threshold_uncertainty_score":0.04223204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2225974670","doi":"10.3390/ijgi5010003","title":"Visual-LiDAR Odometry Aided by Reduced IMU","year":2016,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Odometer; Odometry; Inertial measurement unit; Computer vision; Artificial intelligence; Computer science; Visual odometry; Lidar; Remote sensing; Mobile robot; Robot; Geography","authors":[{"name":"Yashar Balazadegan Sarvrood","is_ca":true},{"name":"Siavash Hosseinyalamdary","is_ca":false},{"name":"Yang Gao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003143836073504752,"gpt":0.2183226696016281,"spread":0.2151788335281234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003133233,0.001273703,0.001061108,0.002671428,0.0003922148,0.00100813,0.001147297,0.0005318837,0.00202949],"category_scores_gemma":[0.001126179,0.0006781245,0.0009627223,0.002282535,0.0002510608,0.001055156,0.001740931,0.000619774,0.001881702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003265609,"about_ca_system_score_gemma":0.0008322666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007431692,"about_ca_topic_score_gemma":0.009363437,"domain_scores_codex":[0.9989895,0.00009091738,0.00005049776,0.0002331762,0.0005243098,0.0001115002],"domain_scores_gemma":[0.9995705,0.00003363596,0.00004852858,0.0001061238,0.0002220981,0.0000190361],"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":[0.000261126,0.00013449,0.008950039,0.0005580658,0.0001959524,0.0002162855,0.0002225883,0.0566909,0.06653526,0.002514985,0.004657748,0.8590625],"study_design_scores_gemma":[0.0001275195,0.0003322758,0.03079377,0.0001826013,0.0002329902,0.0005981367,0.0004020334,0.8358296,0.08252433,0.004863967,0.04395263,0.0001601598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08246075,0.000938625,0.8988609,0.0001402971,0.0004303443,0.0001997148,0.001757758,0.005629306,0.00958229],"genre_scores_gemma":[0.5136756,0.000421577,0.4779383,0.00012235,0.0001398391,0.0002107609,0.002918869,0.0002250221,0.004347569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007431692,"threshold_uncertainty_score":0.01477689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2922408548","doi":"10.3390/ijgi8030143","title":"Applicability of Remote Sensing-Based Vegetation Water Content in Modeling Lightning-Caused Forest Fire Occurrences","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary","funders":"U.S. Forest Service; Government of Alberta; National Aeronautics and Space Administration","keywords":"Lightning (connector); Environmental science; Vegetation (pathology); Range (aeronautics); Moderate-resolution imaging spectroradiometer; Remote sensing; Physical geography; Meteorology; Geology; Satellite; Geography","authors":[{"name":"Masoud Abdollahi","is_ca":true},{"name":"Ashraf Dewan","is_ca":false},{"name":"Quazi K. Hassan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01057101726773971,"gpt":0.226737572455133,"spread":0.2161665551873933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005013846,0.0008698049,0.0003302481,0.0006713335,0.0003692892,0.0008524412,0.001263897,0.0006342237,0.0004134779],"category_scores_gemma":[0.0008649135,0.0003352309,0.0006299123,0.0005819977,0.0003709469,0.0005324561,0.0003000182,0.0003854443,0.0000937366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200126,"about_ca_system_score_gemma":0.001945003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4324378,"about_ca_topic_score_gemma":0.307829,"domain_scores_codex":[0.9998599,0.00001998671,0.000007639169,0.00005901812,0.00002407494,0.00002928845],"domain_scores_gemma":[0.9998222,0.00006110845,0.00002927606,0.00001410047,0.00004970906,0.00002357824],"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":[0.00004318128,0.00005748312,0.04199169,0.00001554557,0.00006844177,0.00004394013,0.00002379751,0.9512174,0.001215382,0.000166809,0.0001311866,0.005025316],"study_design_scores_gemma":[0.000007169658,0.000008526368,0.009316233,0.000002689971,0.00001060284,0.000009864646,0.0000179668,0.9901261,0.0002964428,0.00007811133,0.0001199268,0.000006302017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757203,0.0003167338,0.02093049,0.0001228341,0.00002433039,0.00003605392,0.0009431695,0.0004977983,0.001408274],"genre_scores_gemma":[0.9944476,0.00005920784,0.004692445,0.00001534763,0.000007167994,0.00001240221,0.0004707509,0.00001864358,0.0002764723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4324378,"threshold_uncertainty_score":0.8598414,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3180986011","doi":"10.3390/ijgi10070461","title":"Assessing Earthquake Impacts and Monitoring Resilience of Historic Areas: Methods for GIS Tools","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; Horizon 2020; Università degli Studi di Camerino","keywords":"Damages; Resilience (materials science); Vulnerability (computing); Hazard; Natural hazard; Computer science; Vulnerability assessment; Environmental resource management; Geographic information system; Environmental science; Geography; Computer security; Remote sensing; Psychological resilience","authors":[{"name":"Sonia Giovinazzi","is_ca":false},{"name":"Corinna Marchili","is_ca":false},{"name":"Antonio Di Pietro","is_ca":false},{"name":"Ludovica Giordano","is_ca":false},{"name":"Antonio Costanzo","is_ca":false},{"name":"Luigi La Porta","is_ca":false},{"name":"Maurizio Pollino","is_ca":false},{"name":"Vittorio Rosato","is_ca":false},{"name":"Daniel Lückerath","is_ca":false},{"name":"Katharina Milde","is_ca":false},{"name":"Oliver Ullrich","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01546009219673659,"gpt":0.3384879528427809,"spread":0.3230278606460443,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00243479,0.001058181,0.0005373898,0.005299075,0.0002425719,0.001680491,0.00106067,0.0005890797,0.002732827],"category_scores_gemma":[0.006876441,0.0004434361,0.0005552846,0.003466442,0.0009639187,0.001796388,0.001261717,0.0006196251,0.0006557051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000644966,"about_ca_system_score_gemma":0.0005680613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003308727,"about_ca_topic_score_gemma":0.002790409,"domain_scores_codex":[0.999065,0.000485153,0.00007747272,0.0001128616,0.0002278114,0.00003174953],"domain_scores_gemma":[0.9968298,0.002093674,0.0003120565,0.0003308505,0.0003331396,0.0001004738],"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":[0.0001350879,0.0001453912,0.02387806,0.0006756159,0.0002509393,0.0002476468,0.001614506,0.2039063,0.00970261,0.06565265,0.005947265,0.687844],"study_design_scores_gemma":[0.00003317827,0.00008379031,0.0116991,0.0001840328,0.00007567463,0.000354856,0.001529607,0.872221,0.00748336,0.08488958,0.02135382,0.00009202003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007544734,0.000296806,0.9881732,0.0002168768,0.00001319391,0.00007380429,0.0004559985,0.001706911,0.001518524],"genre_scores_gemma":[0.1720755,0.0006518438,0.8252521,0.00004440769,0.00002671786,0.0003261119,0.0005237929,0.0001798362,0.0009197789],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005299075,"threshold_uncertainty_score":0.01287657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406369811","doi":"10.3390/ijgi14010030","title":"Synergy of Remote Sensing and Geospatial Technologies to Advance Sustainable Development Goals for Future Coastal Urbanization and Environmental Challenges in a Riverine Megacity","year":2025,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"King Saud University","keywords":"Megacity; Geospatial analysis; Urbanization; Sustainable development; Environmental planning; Environmental resource management; Environmental science; Remote sensing; Business; Geography; Political science; Ecology","authors":[{"name":"Minza Mumtaz","is_ca":false},{"name":"Syed Humayoun Jahanzaib","is_ca":false},{"name":"Waqar Hussain","is_ca":false},{"name":"Sadia Khan","is_ca":false},{"name":"Youssef M. Youssef","is_ca":false},{"name":"Saleh Qaysi","is_ca":false},{"name":"Abdalla Abdelnabi","is_ca":true},{"name":"Nassir Al‐Arifi","is_ca":false},{"name":"Mahmoud E. Abd-Elmaboud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00339424297398299,"gpt":0.204035193652162,"spread":0.200640950678179,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001212597,0.0006483084,0.0002797649,0.001857711,0.0002915988,0.002132167,0.0004948077,0.0004588057,0.00144064],"category_scores_gemma":[0.00177375,0.0001916854,0.000432977,0.001971888,0.0003200232,0.002459559,0.00162819,0.0006224651,0.0005064495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006929444,"about_ca_system_score_gemma":0.001670553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198711,"about_ca_topic_score_gemma":0.02453302,"domain_scores_codex":[0.9994215,0.0002135731,0.00003584412,0.00007664758,0.0001918769,0.00006049922],"domain_scores_gemma":[0.9994923,0.0001198792,0.00006451483,0.00007732202,0.0002019505,0.00004409905],"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":[0.00009460368,0.0002943538,0.1276283,0.0006523472,0.0003746679,0.0007397626,0.001612145,0.08956564,0.01026468,0.02332485,0.01538392,0.7300646],"study_design_scores_gemma":[0.00003732293,0.0002373604,0.153138,0.0010079,0.0004568451,0.000511275,0.01048337,0.653533,0.0126707,0.03869449,0.1289944,0.0002352335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5548588,0.006133622,0.3350351,0.01234556,0.0004448075,0.0004972794,0.00497874,0.004965243,0.0807409],"genre_scores_gemma":[0.8159853,0.001958964,0.1773605,0.0004306598,0.0000671683,0.0001103811,0.001609511,0.0001110861,0.002366351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198711,"threshold_uncertainty_score":0.02383471,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281716397","doi":"10.3390/ijgi11060333","title":"Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms","year":2022,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Ground truth; Land cover; Normalized Difference Vegetation Index; Cohen's kappa; Random forest; Remote sensing; Computer science; Vegetation (pathology); Algorithm; Limiting; Artificial intelligence; Environmental science; Land use; Machine learning; Geography; Geology","authors":[{"name":"Usman Ali","is_ca":true},{"name":"Travis J. Esau","is_ca":true},{"name":"Aitazaz A. Farooque","is_ca":true},{"name":"Qamar U. Zaman","is_ca":true},{"name":"Farhat Abbas","is_ca":false},{"name":"Mathieu F. Bilodeau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.013884095523753,"gpt":0.2247329036410578,"spread":0.2108488081173048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006117331,0.0008101538,0.0006480461,0.00217257,0.000468085,0.001574929,0.001309572,0.0006798529,0.0009407951],"category_scores_gemma":[0.02690957,0.0003432172,0.0005521131,0.002894277,0.0007730629,0.002399619,0.001016541,0.0006485917,0.0008819241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008215749,"about_ca_system_score_gemma":0.001178588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008553238,"about_ca_topic_score_gemma":0.009271372,"domain_scores_codex":[0.9950542,0.002036933,0.0004700493,0.0007004779,0.001555074,0.0001830708],"domain_scores_gemma":[0.9769503,0.01324977,0.001913488,0.004154165,0.003638143,0.00009423611],"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":[0.0001716965,0.0003486132,0.03952963,0.0004819366,0.0001929966,0.0001186245,0.0003289818,0.219662,0.01824861,0.004201723,0.003374301,0.7133409],"study_design_scores_gemma":[0.00005766389,0.0003803517,0.04064432,0.0003318758,0.0000941378,0.0002449723,0.0006257443,0.8770017,0.05060768,0.01505526,0.01483453,0.0001218724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2477087,0.0006965905,0.7424183,0.000403736,0.00009041947,0.0004091669,0.001373485,0.002625549,0.004274057],"genre_scores_gemma":[0.4939396,0.0004111257,0.5012173,0.0002168047,0.00005674895,0.0004584641,0.002671882,0.0001279897,0.0009000713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008553238,"threshold_uncertainty_score":0.03235191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019577451","doi":"10.3390/ijgi2030854","title":"An Improved Neural Network Training Algorithm for Wi-Fi Fingerprinting Positioning","year":2013,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"RSS; Computer science; Artificial neural network; Signal strength; Algorithm; Location-based service; Real-time computing; Mean squared error; Indoor positioning system; Data mining; Artificial intelligence; Computer network; Wireless sensor network; Accelerometer; Mathematics; Statistics","authors":[{"name":"Esmond Mok","is_ca":false},{"name":"Bernard K.-S. Cheung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005624948004334438,"gpt":0.2227190325928814,"spread":0.217094084588547,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007107977,0.000587297,0.0005779094,0.0004930821,0.0003911315,0.0005164822,0.0009723962,0.001076177,0.001960041],"category_scores_gemma":[0.002315921,0.0002893694,0.0003278861,0.0007404749,0.0002959901,0.0008103789,0.0004663404,0.001032305,0.0006025089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006042753,"about_ca_system_score_gemma":0.0007752454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091997,"about_ca_topic_score_gemma":0.007883484,"domain_scores_codex":[0.9996322,0.00006870114,0.00003055726,0.0001011576,0.0001268868,0.00004042397],"domain_scores_gemma":[0.9993535,0.0002273703,0.00004914101,0.00004625316,0.0003084878,0.00001535891],"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":[0.0001465248,0.00006210127,0.001019327,0.00005706271,0.00003517872,0.0000642583,0.00005989777,0.4621789,0.008492105,0.002213934,0.001265188,0.5244055],"study_design_scores_gemma":[0.000005358359,0.00001860002,0.0002200663,0.000004287329,0.00000513131,0.00001607441,0.000003007553,0.9974936,0.001622956,0.0002289476,0.0003777368,0.000004309572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01330141,0.0002074816,0.9845679,0.00008520804,0.00004870177,0.00002986073,0.00003117041,0.0006104282,0.001117864],"genre_scores_gemma":[0.4042059,0.0003412171,0.588123,0.0001664032,0.00007217965,0.0002473614,0.0002264652,0.00007620419,0.006541284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01091997,"threshold_uncertainty_score":0.02171278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2960039978","doi":"10.3390/ijgi8070308","title":"Anomalous Urban Mobility Pattern Detection Based on GPS Trajectories and POI Data","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Global Positioning System; Point of interest; Mobility model; Computer science; DBSCAN; Interval (graph theory); Geography; TRIPS architecture; Cluster analysis; Data mining; Artificial intelligence; Mathematics; Computer network; Telecommunications","authors":[{"name":"Zhenzhou Xu","is_ca":false},{"name":"Ge Cui","is_ca":true},{"name":"Ming Zhong","is_ca":false},{"name":"Xin Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01151376946214071,"gpt":0.2797281380883397,"spread":0.268214368626199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002646778,0.0005018134,0.0004343996,0.003100683,0.0002934335,0.0006635051,0.0004575555,0.0003299007,0.000420294],"category_scores_gemma":[0.001244152,0.0001260675,0.0002838014,0.00255835,0.0001879051,0.0007949705,0.0004497581,0.0002746926,0.0002842086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381741,"about_ca_system_score_gemma":0.0004582238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008838127,"about_ca_topic_score_gemma":0.01051586,"domain_scores_codex":[0.9996448,0.00003713523,0.00003364789,0.0001066725,0.0001264025,0.00005140275],"domain_scores_gemma":[0.9995475,0.00007551069,0.0001073399,0.00005469311,0.0001768522,0.00003798966],"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":[0.0004768024,0.0002325671,0.2831378,0.0003814452,0.000202642,0.00203854,0.001040588,0.1158872,0.03140413,0.007064184,0.006441466,0.5516927],"study_design_scores_gemma":[0.00001045606,0.00009537587,0.08833151,0.00003151344,0.0000576449,0.0007867587,0.0009692458,0.8908563,0.009958256,0.003165402,0.005696281,0.00004125589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.683971,0.0004155342,0.305587,0.0002511176,0.00009555062,0.0001936544,0.003819427,0.001746057,0.003920572],"genre_scores_gemma":[0.9524464,0.0002180181,0.0438748,0.00001301908,0.00001791948,0.00005064838,0.002544353,0.00001976785,0.0008150474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008838127,"threshold_uncertainty_score":0.01757336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2758668480","doi":"10.3390/ijgi6100295","title":"Comparative Analysis on Topological Structures of Urban Street Networks","year":2017,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Betweenness centrality; Centrality; Closeness; Complex network; Urbanization; Topology (electrical circuits); Economic geography; Development (topology); Network science; Geography; Representation (politics); Computer science; Complex system; Regional science; Mathematics; Artificial intelligence; Political science; Economic growth; Combinatorics; Economics","authors":[{"name":"Jingyi Lin","is_ca":false},{"name":"Yifang Ban","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01290026618493703,"gpt":0.2629026498101645,"spread":0.2500023836252275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006999736,0.000208504,0.0001811519,0.005051308,0.0004576485,0.001151348,0.0002774476,0.0002241704,0.001687091],"category_scores_gemma":[0.005785135,0.0001464546,0.0002344571,0.003908013,0.0006687441,0.001650793,0.0005048241,0.0001745667,0.0001100362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009374298,"about_ca_system_score_gemma":0.0003045874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00153217,"about_ca_topic_score_gemma":0.00246171,"domain_scores_codex":[0.9995533,0.0001818969,0.00002310765,0.00005075488,0.0001362276,0.00005477762],"domain_scores_gemma":[0.9956945,0.002296145,0.0007379538,0.000258996,0.0008425639,0.0001697158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002428883,0.00007940003,0.1700883,0.0002816058,0.0001793508,0.0005279771,0.001637931,0.2812823,0.006161077,0.4484315,0.002606531,0.08848112],"study_design_scores_gemma":[0.00002684846,0.000228502,0.2223987,0.0001319328,0.000194975,0.001137431,0.004645827,0.6032431,0.004628039,0.149188,0.0141105,0.00006619902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528145,0.0005314918,0.03258755,0.0002142712,0.000009631979,0.00002754004,0.0005776766,0.00005550915,0.01318179],"genre_scores_gemma":[0.9952809,0.0002225025,0.003727995,0.000004518213,0.000006729896,0.00001410321,0.0004279672,0.000005533586,0.00030971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005051308,"threshold_uncertainty_score":0.006801605,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2905879806","doi":"10.3390/ijgi8010005","title":"Investigation of Post-Fire Debris Flows in Montecito","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"State Key Laboratory of Hydraulics and Mountain River Engineering; Chinese Academy of Sciences","keywords":"Debris; Debris flow; Landslide; Surface runoff; Environmental science; Hydrology (agriculture); Digital elevation model; Terrain; Geology; Geomorphology; Remote sensing; Geotechnical engineering; Geography; Cartography","authors":[{"name":"Yifei Cui","is_ca":false},{"name":"Deqiang Cheng","is_ca":false},{"name":"Dave Chan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004870527782917185,"gpt":0.2134747895130692,"spread":0.208604261730152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001086352,0.0001420515,0.0001661376,0.00231853,0.0006685625,0.0004635595,0.000207254,0.0002138072,0.0004346291],"category_scores_gemma":[0.0002731388,0.00009437582,0.0001379576,0.002277506,0.0002092361,0.0001625553,0.0002165672,0.0001327748,0.00004726916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007885022,"about_ca_system_score_gemma":0.0007199191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1250434,"about_ca_topic_score_gemma":0.2449039,"domain_scores_codex":[0.9999299,0.000003218744,0.000005169026,0.00001523155,0.00002367883,0.00002276261],"domain_scores_gemma":[0.9998291,0.00002640384,0.00005895261,0.00000920934,0.00005111177,0.00002511991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001455427,0.00012568,0.9646716,0.0000894327,0.0000319415,0.002388842,0.001324562,0.002841771,0.007099162,0.0001997893,0.0004201405,0.02066173],"study_design_scores_gemma":[0.000002332626,0.00001255104,0.996485,0.000008407957,0.000008946306,0.0001001426,0.0005210096,0.00191954,0.0003317567,0.00001698452,0.0005891597,0.000004084005],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988961,0.00005835611,0.00007513833,0.000009951188,0.000001501346,0.000008380714,0.0002598687,0.00001063047,0.0006800811],"genre_scores_gemma":[0.9987479,0.0001026513,0.0003743652,0.000004998994,0.00000301907,0.000007208774,0.0005247642,0.000001736612,0.0002333556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1250434,"threshold_uncertainty_score":0.2486312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2136209984","doi":"10.3390/ijgi4031389","title":"A Volunteered Geographic Information Framework to Enable Bottom-Up Disaster Management Platforms","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Volunteered geographic information; Metadata; Computer science; Social media; World Wide Web; Citizen science; Component (thermodynamics); Data science; Information retrieval","authors":[{"name":"M. Ebrahim Poorazizi","is_ca":true},{"name":"Andrew Hunter","is_ca":true},{"name":"Stefan Steiniger","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0175897604205763,"gpt":0.3015765689394176,"spread":0.2839868085188413,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006976658,0.0007446319,0.0007664508,0.003089112,0.001784847,0.006076405,0.005144089,0.002347194,0.003613899],"category_scores_gemma":[0.00776199,0.0008359358,0.001957085,0.002494647,0.002222928,0.007698109,0.01034744,0.002420371,0.00204486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202132,"about_ca_system_score_gemma":0.003527445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990958,"about_ca_topic_score_gemma":0.0189121,"domain_scores_codex":[0.9972168,0.000684532,0.0003659611,0.0004905203,0.0009265348,0.0003157057],"domain_scores_gemma":[0.9962518,0.0006890834,0.0001775679,0.001445748,0.0007252445,0.0007105939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002131883,0.0002415791,0.004035952,0.0004767143,0.0001409577,0.001397004,0.00395559,0.04879832,0.006949758,0.763372,0.0424054,0.1280135],"study_design_scores_gemma":[0.00009276377,0.00009084004,0.0009609826,0.0002556269,0.00009373524,0.0005611251,0.0009244783,0.2812576,0.005934419,0.2351298,0.4745381,0.000160603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004158501,0.000179251,0.974819,0.0009023479,0.0001337048,0.0004082037,0.0007918164,0.01065402,0.007953106],"genre_scores_gemma":[0.1020119,0.0003540666,0.8848469,0.000383351,0.0001001946,0.0005329143,0.003923384,0.00124424,0.006603053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01990958,"threshold_uncertainty_score":0.03958738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802044904","doi":"10.3390/ijgi7050161","title":"LiDAR—A Technology to Assist with Smart Cities and Climate Change Resilience: A Case Study in an Urban Metropolis","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Lidar; Digital elevation model; Terrain; Catchment area; Environmental science; Resilience (materials science); Geographic information system; Climate change; Geography; Elevation (ballistics); Meteorology; Storm; Drainage basin; Remote sensing; Hydrology (agriculture); Physical geography; Cartography; Geology; Engineering","authors":[{"name":"Ryan Garnett","is_ca":false},{"name":"Matthew D. Adams","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009265619861168754,"gpt":0.2979144761527452,"spread":0.2886488562915764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008555414,0.0004201208,0.0002180021,0.0008728473,0.001572188,0.001324694,0.0009078139,0.001151919,0.000954037],"category_scores_gemma":[0.001751904,0.0002684104,0.0003522173,0.001974662,0.001100859,0.00105006,0.001169251,0.0004748088,0.0001815484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002270887,"about_ca_system_score_gemma":0.001219835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08937696,"about_ca_topic_score_gemma":0.2197353,"domain_scores_codex":[0.9993566,0.0003108869,0.00002898803,0.0000571212,0.0001487088,0.00009781735],"domain_scores_gemma":[0.9989084,0.0005046619,0.0001002309,0.0001268627,0.0002164214,0.0001433837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005031044,0.001959268,0.5781931,0.0005667034,0.0002482818,0.05245797,0.02059049,0.1850352,0.01559728,0.01241599,0.01147408,0.1209586],"study_design_scores_gemma":[0.0001886543,0.001442877,0.3319444,0.0002201894,0.0002553365,0.007496733,0.1015899,0.4704015,0.022206,0.00485415,0.05911018,0.0002900729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904734,0.00009929266,0.004281316,0.0007037826,0.00001222233,0.0001325407,0.000303256,0.00007922357,0.003914815],"genre_scores_gemma":[0.9890121,0.0001841114,0.009386992,0.00006717572,0.0000132167,0.00003963897,0.0001573732,0.00001824261,0.001121223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08937696,"threshold_uncertainty_score":0.1777135,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2948007733","doi":"10.3390/ijgi8060250","title":"A GIS Tool for Mapping Dam-Break Flood Hazards in Italy","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Ministero dello Sviluppo Economico","keywords":"Flood myth; Hydrograph; Dam failure; Digital elevation model; Geospatial analysis; Computer science; Geographic information system; Environmental science; Dam break; Geomatics; Flood mitigation; Civil engineering; Hydrology (agriculture); Geology; Geotechnical engineering; Engineering; Geography; Remote sensing","authors":[{"name":"Raffaele Albano","is_ca":false},{"name":"Leonardo Mancusi","is_ca":false},{"name":"Jan Adamowski","is_ca":true},{"name":"Andrea Cantisani","is_ca":false},{"name":"Aurelia Sole","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004212507576924368,"gpt":0.234913729647116,"spread":0.2307012220701916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004672338,0.0009003467,0.0003666016,0.002729705,0.0002253953,0.001122555,0.0006645696,0.0004120291,0.01051147],"category_scores_gemma":[0.001155404,0.0004130365,0.0007514872,0.00259628,0.0002739621,0.0007656917,0.0008932946,0.0003008727,0.002923746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006669954,"about_ca_system_score_gemma":0.0008869168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007478447,"about_ca_topic_score_gemma":0.00506307,"domain_scores_codex":[0.9998135,0.00005313909,0.00001904138,0.00004780843,0.00004496762,0.00002152418],"domain_scores_gemma":[0.9996412,0.0001509567,0.00004879566,0.00005809895,0.00006290555,0.00003806183],"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":[0.000822656,0.0004871362,0.05477054,0.00132881,0.0003394381,0.002293624,0.003446069,0.340013,0.0162396,0.02572915,0.1351108,0.4194192],"study_design_scores_gemma":[0.0002513847,0.0001278373,0.03913218,0.0002629737,0.0001269727,0.0008156795,0.0008640191,0.7715622,0.008206405,0.01019947,0.1682954,0.0001554068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1971364,0.0007626408,0.5582675,0.0008549013,0.0001674709,0.0008783026,0.07861248,0.1137922,0.04952824],"genre_scores_gemma":[0.5289189,0.0007837045,0.4126731,0.0001093474,0.00005454249,0.001422955,0.04416877,0.002878716,0.00898998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01051147,"threshold_uncertainty_score":0.03516436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2572321483","doi":"10.3390/ijgi6010012","title":"Towards a Common Framework for the Identification of Landforms on Terrain Models","year":2017,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Landform; Salient; Terrain; Identification (biology); Computer science; Feature (linguistics); Object (grammar); Ontology; Connotation; Conceptual model; Process (computing); Data mining; Artificial intelligence; Geography; Cartography; Epistemology; Linguistics; Programming language","authors":[{"name":"Éric Guilbert","is_ca":true},{"name":"Bernard Moulin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01887043301714538,"gpt":0.3008720091228859,"spread":0.2820015761057406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01375567,0.001750048,0.002280368,0.007518732,0.002536109,0.0153126,0.007270018,0.004435306,0.002855407],"category_scores_gemma":[0.01443189,0.001756639,0.005514695,0.006954262,0.008414792,0.01216847,0.009456488,0.006074904,0.001913655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003348876,"about_ca_system_score_gemma":0.007028032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01032309,"about_ca_topic_score_gemma":0.01036791,"domain_scores_codex":[0.9908662,0.003330835,0.001715131,0.001257004,0.002410334,0.000420416],"domain_scores_gemma":[0.9920346,0.001681814,0.0005400023,0.002956013,0.002163343,0.0006242447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002484058,0.00009859445,0.0006057177,0.0003997987,0.00007768233,0.0003721899,0.002928766,0.01179837,0.001843169,0.9448231,0.002411671,0.03461624],"study_design_scores_gemma":[0.0000462897,0.000108069,0.0007436425,0.001122148,0.0001557159,0.0006200231,0.00294018,0.0966341,0.002732144,0.7012873,0.193469,0.000141224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001422591,0.0002856913,0.9940642,0.0005785799,0.00005098113,0.000218059,0.0001727621,0.0005059581,0.002701292],"genre_scores_gemma":[0.02427713,0.0005723127,0.9721244,0.0001762189,0.00005459461,0.0004725037,0.0007460052,0.000256319,0.001320619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0153126,"threshold_uncertainty_score":0.07274783,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}