{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":435,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":435,"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":"081a53945d31","filters":{"venue":"GEOMATICA"}},"results":[{"id":"W2338354263","doi":"","title":"Toward better support for spatial decision making: defining the characteristics of spatial on-line analytical processing (solap)","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":154,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Online analytical processing; Exploit; Data warehouse; Computer science; Spatial analysis; Line (geometry); Decision support system; Data mining; Data science; Geography; Cartography; Mathematics; Remote sensing","authors":[{"name":"Sonia Rivest","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02906984507809188,"gpt":0.2903889626372823,"spread":0.2613191175591905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006578223,0.0008422727,0.001063193,0.002376724,0.001062455,0.00987481,0.002185425,0.001903688,0.002280747],"category_scores_gemma":[0.02441095,0.0007293382,0.0007929403,0.004596235,0.004473123,0.01643271,0.003995338,0.002985594,0.001209225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001386064,"about_ca_system_score_gemma":0.002602357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003536041,"about_ca_topic_score_gemma":0.001596269,"domain_scores_codex":[0.995589,0.001522793,0.000469605,0.0006182957,0.001518782,0.0002814306],"domain_scores_gemma":[0.9799579,0.008105144,0.002535018,0.004131444,0.004463924,0.000806633],"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":[0.000343462,0.000215153,0.008440039,0.0007831246,0.0001110167,0.0005065869,0.002338555,0.05468691,0.006171235,0.67711,0.007230014,0.242064],"study_design_scores_gemma":[0.00002125031,0.0001155159,0.00163646,0.0001828278,0.00003016847,0.0003372329,0.0008140319,0.3417929,0.004928244,0.6237636,0.02632517,0.00005254469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01997381,0.000913451,0.9683673,0.003153963,0.00008898957,0.0001215676,0.0002758274,0.0005471308,0.006557976],"genre_scores_gemma":[0.2553742,0.001431032,0.7396495,0.0006932233,0.0002318448,0.0001967898,0.0006494421,0.0001892706,0.00158477],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00987481,"threshold_uncertainty_score":0.03478938,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2415624988","doi":"10.5623/cig2016-102","title":"Spatial Accuracy of UAV-Derived Orthoimagery and Topography: Comparing Photogrammetric Models Processed with Direct Geo-Referencing and Ground Control Points","year":2016,"lang":"en","type":"article","venue":"GEOMATICA","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":144,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"GNSS applications; Orthophoto; Remote sensing; Real Time Kinematic; Photogrammetry; Global Positioning System; Georeference; Geodesy; Satellite; Computer science; Mean squared error; Geography; Mathematics; Engineering","authors":[{"name":"Chris H. Hugenholtz","is_ca":true},{"name":"Owen W. Brown","is_ca":false},{"name":"Jordan Walker","is_ca":false},{"name":"Thomas E. Barchyn","is_ca":true},{"name":"Paul R. Nesbit","is_ca":true},{"name":"Maja Kucharczyk","is_ca":true},{"name":"Steve Myshak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02230267116353185,"gpt":0.1966323502776018,"spread":0.17432967911407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008296105,0.0005508108,0.0003508046,0.001422982,0.0001845205,0.001094247,0.0006195997,0.0004927046,0.0007256762],"category_scores_gemma":[0.002899657,0.0003097682,0.0005955447,0.001146771,0.0003571511,0.0007094311,0.0005855117,0.0002598845,0.0006621201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004337179,"about_ca_system_score_gemma":0.0004378089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01557755,"about_ca_topic_score_gemma":0.01701736,"domain_scores_codex":[0.9992979,0.0001148134,0.00006243494,0.0001773491,0.0002813249,0.00006617716],"domain_scores_gemma":[0.9988991,0.0001900482,0.0001529455,0.0003253962,0.0004002129,0.00003233534],"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":[0.001938801,0.0005470906,0.2261221,0.0005435703,0.0008047262,0.0004463548,0.0009793291,0.3944216,0.09716464,0.001198402,0.002942339,0.272891],"study_design_scores_gemma":[0.0001234075,0.0003011114,0.3766668,0.0000788717,0.0002073902,0.0003846533,0.0006973443,0.5729651,0.04460136,0.0004388467,0.003403575,0.0001315258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723024,0.0002909504,0.02185033,0.00005765383,0.00005542093,0.00004343721,0.001862604,0.0008733288,0.002663848],"genre_scores_gemma":[0.9811465,0.0001373234,0.01620456,0.00001495578,0.000009466953,0.00001229302,0.001982263,0.00008417486,0.0004083893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01557755,"threshold_uncertainty_score":0.03097379,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2514818752","doi":"","title":"Defining global geospatial data infrastructure (ggdi): components, stakeholders and interfaces","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Spatial data infrastructure; Geography; Critical infrastructure; Volunteered geographic information; Data science; Computer science; Cartography; Environmental resource management; Spatial analysis; Remote sensing; Environmental science; Computer security","authors":[{"name":"David Coleman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04419403438362487,"gpt":0.2966623852561303,"spread":0.2524683508725055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004256624,0.0007519392,0.0003519142,0.003266441,0.001164872,0.008556454,0.001324732,0.001766995,0.002432687],"category_scores_gemma":[0.004539188,0.0004389075,0.0002971899,0.00669281,0.003973051,0.007522519,0.005459787,0.001860981,0.001069842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003225215,"about_ca_system_score_gemma":0.005854897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006027883,"about_ca_topic_score_gemma":0.00317377,"domain_scores_codex":[0.997698,0.0008003397,0.0002426174,0.0003277933,0.0006201441,0.0003111448],"domain_scores_gemma":[0.9981195,0.0005620521,0.0002252882,0.0002834816,0.0005798365,0.0002298374],"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":[0.00001279672,0.00001758336,0.001664701,0.0001377566,0.000006823431,0.0001456034,0.002143148,0.0008307002,0.001359046,0.9549743,0.006794703,0.03191293],"study_design_scores_gemma":[0.00001132026,0.0000442877,0.002367763,0.0005425375,0.00002587798,0.0006632466,0.005685834,0.006238212,0.002928396,0.2421679,0.7392799,0.000044705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03743981,0.004747221,0.68468,0.01427556,0.0008286393,0.0009454183,0.002368091,0.001506955,0.2532083],"genre_scores_gemma":[0.4181202,0.005072784,0.5421161,0.002224651,0.0002459021,0.001145619,0.004517164,0.0004803012,0.02607734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9914436,"threshold_uncertainty_score":0.02340072,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2237424363","doi":"10.5623/cig2014-405","title":"Evaluation Of Uav Photogrammetric Accuracy For Mapping And Earthworks Computations","year":2014,"lang":"en","type":"article","venue":"GEOMATICA","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Photogrammetry; GNSS applications; Remote sensing; Stockpile; Scale (ratio); Aerial survey; Aerial photography; Computer science; Geography; Geodesy; Environmental science; Global Positioning System; Cartography","authors":[{"name":"Chris Cryderman","is_ca":false},{"name":"S. Bill Mah","is_ca":false},{"name":"Aaron Shufletoski","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06194611094541619,"gpt":0.2687300136032815,"spread":0.2067839026578653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036485,0.0005531205,0.000398943,0.0008967351,0.0003663969,0.0007448569,0.000503528,0.0005493495,0.003212883],"category_scores_gemma":[0.006221449,0.0001942472,0.0003178277,0.0009297972,0.0002343565,0.0006617845,0.0004558262,0.0002137196,0.0005312468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921425,"about_ca_system_score_gemma":0.0006651091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121299,"about_ca_topic_score_gemma":0.009073377,"domain_scores_codex":[0.9990498,0.0002231824,0.0000612251,0.0001359505,0.0004211747,0.0001087072],"domain_scores_gemma":[0.9965527,0.001621785,0.0001439917,0.0004810048,0.001131301,0.00006917884],"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":[0.002945504,0.0003534073,0.02231434,0.0004207159,0.0001907304,0.0002093938,0.0002139744,0.4971868,0.06992633,0.002606583,0.002901658,0.4007306],"study_design_scores_gemma":[0.0000647497,0.0003166409,0.01559835,0.0000266754,0.00006366809,0.000091743,0.0001188424,0.9319248,0.04959032,0.0003875731,0.00179697,0.00001964131],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8360912,0.0005016896,0.1520176,0.0001415824,0.00008464639,0.00009184767,0.0008957625,0.001920574,0.008255068],"genre_scores_gemma":[0.9610785,0.00008859442,0.03730414,0.00001143079,0.000007022737,0.00001423264,0.0005193915,0.0001025454,0.000874243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121299,"threshold_uncertainty_score":0.02229542,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2262288151","doi":"","title":"Citizens as Sensors for Natural Hazards: A VGI integration Workflow","year":2010,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Volunteered geographic information; Workflow; Natural hazard; Natural (archaeology); Geography; Geomatics; Citizen science; Cartography; Computer science; Environmental planning; Database; Archaeology; Meteorology","authors":[{"name":"Bertrand De Longueville","is_ca":false},{"name":"Gianluca Luraschi","is_ca":false},{"name":"P.C. Smits","is_ca":false},{"name":"Stephen Peedell","is_ca":false},{"name":"Tom De Groeve","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008390190358535728,"gpt":0.2456700978023346,"spread":0.2372799074437989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004106059,0.001476716,0.001615666,0.005410573,0.002572765,0.009900377,0.002989966,0.002108637,0.008932124],"category_scores_gemma":[0.004589646,0.00141823,0.003109406,0.006043831,0.001000074,0.005391623,0.006857618,0.001740091,0.007444288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829902,"about_ca_system_score_gemma":0.004551339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220715,"about_ca_topic_score_gemma":0.02375857,"domain_scores_codex":[0.9982252,0.0002509628,0.0002594451,0.0003934279,0.0006607565,0.0002102889],"domain_scores_gemma":[0.9982159,0.0003297731,0.0001216464,0.0006344243,0.0005048289,0.0001935285],"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":[0.0003229839,0.0005487606,0.01402093,0.00112925,0.0004557371,0.00278454,0.008705455,0.03704283,0.01636084,0.1169272,0.1127509,0.6889506],"study_design_scores_gemma":[0.000112655,0.0001042797,0.008942671,0.000821559,0.0004186152,0.00098564,0.007447451,0.1694279,0.02336878,0.2080425,0.580045,0.0002829663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005815251,0.0003871748,0.9290916,0.001121237,0.0001003519,0.001327405,0.01031838,0.02519681,0.02664173],"genre_scores_gemma":[0.03771383,0.000797098,0.9289292,0.0002359604,0.00003648954,0.0005464354,0.01899945,0.002291802,0.01044978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02220715,"threshold_uncertainty_score":0.04415578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2185052039","doi":"","title":"SPATIAL DATA UNCERTAINTY IN THE VGI WORLD: GOING FROM CONSUMER TO PRODUCER","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Volunteered geographic information; Geography; Spatial analysis; Cartography; Remote sensing","authors":[{"name":"J. Grira","is_ca":true},{"name":"Yvan Bédard","is_ca":false},{"name":"Stéphane Roche","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0421253478080758,"gpt":0.3194284407909464,"spread":0.2773030929828706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02346696,0.0005271499,0.0009281138,0.006383758,0.001893265,0.02125181,0.001787292,0.003441368,0.005400967],"category_scores_gemma":[0.09644311,0.0008289855,0.0005984409,0.01476318,0.009801534,0.02664166,0.004710144,0.004132749,0.0009537321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01152086,"about_ca_system_score_gemma":0.003505788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03572732,"about_ca_topic_score_gemma":0.02331134,"domain_scores_codex":[0.9827153,0.005265789,0.000925248,0.002117399,0.00858581,0.000390417],"domain_scores_gemma":[0.909124,0.05645628,0.006601168,0.006146684,0.02058598,0.001085832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002222662,0.00005177629,0.07608473,0.001742146,0.0001767849,0.0005954611,0.02832423,0.005975828,0.00206792,0.2798558,0.09279922,0.5121039],"study_design_scores_gemma":[0.00001515897,0.0000803301,0.04258899,0.00296476,0.0001170969,0.00101194,0.03703604,0.01050563,0.003846448,0.2931259,0.608435,0.0002727805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1109314,0.1003928,0.1446917,0.5451012,0.002647205,0.0001316681,0.005937385,0.001203316,0.08896336],"genre_scores_gemma":[0.8248507,0.07164856,0.06269319,0.02583844,0.003723772,0.00009109321,0.002862256,0.001639608,0.006652399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03572732,"threshold_uncertainty_score":0.1241066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2472692956","doi":"","title":"CSRS-PPP: AN INTERNET SERVICE FOR GPS USER ACCESS TO THE CANADIAN SPATIAL REFERENCE FRAME","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Global Positioning System; Geography; Frame (networking); Cartography; Computer science; The Internet; Service (business); Reference frame; Telecommunications; Remote sensing; Geodesy; World Wide Web; Business","authors":[{"name":"P. Tétreault","is_ca":false},{"name":"J. Kouba","is_ca":false},{"name":"Pierre Héroux","is_ca":false},{"name":"Patrick Legree","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05700903661699402,"gpt":0.3326943155669138,"spread":0.2756852789499198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002819333,0.0006786473,0.0005124486,0.00404127,0.003462175,0.003092415,0.001722063,0.001103472,0.06695799],"category_scores_gemma":[0.01192724,0.0005486557,0.0003373573,0.007206007,0.0009225571,0.001997222,0.002933739,0.001269216,0.0247546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01305161,"about_ca_system_score_gemma":0.04075183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9377723,"about_ca_topic_score_gemma":0.9219588,"domain_scores_codex":[0.9975047,0.0002247019,0.00009365595,0.0001665263,0.001472812,0.0005375914],"domain_scores_gemma":[0.9915684,0.0006457262,0.0002772308,0.0007708427,0.005696204,0.001041598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002045109,0.00004759337,0.003667635,0.0001163893,0.0000128961,0.0001792426,0.0009083436,0.0004797477,0.001240102,0.0182078,0.8333977,0.141538],"study_design_scores_gemma":[0.0000754964,0.00002128302,0.007478318,0.00006660805,0.00001310458,0.00007475273,0.0005159936,0.003555902,0.001270188,0.002342786,0.9844992,0.00008640026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02188662,0.001151659,0.07211562,0.008538993,0.001152981,0.001515196,0.1475272,0.05802536,0.6880865],"genre_scores_gemma":[0.2104085,0.004276372,0.1204983,0.003210081,0.0005328819,0.00148207,0.1663105,0.008478501,0.4848028],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06695799,"threshold_uncertainty_score":0.2239968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023196182","doi":"10.1139/geomat-2019-0015","title":"Assessing the state of the art in Discrete Global Grid Systems: OGC criteria and present functionality","year":2020,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"Geospatial analysis; Computer science; Implementation; Software; Grid; Scalability; Geographic information system; Software engineering; Database; Spatial database; Documentation; Spatial analysis; Data science; Systems engineering; Engineering; Geography; Operating system; Remote sensing","authors":[{"name":"Ben Bondaruk","is_ca":true},{"name":"Steven A. Roberts","is_ca":true},{"name":"Colin Robertson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03006076086355432,"gpt":0.2915705207448065,"spread":0.2615097598812522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02803309,0.000871159,0.001857504,0.0155143,0.002432377,0.01561307,0.003517963,0.004024926,0.003801582],"category_scores_gemma":[0.09280152,0.0005102081,0.001328707,0.01403669,0.005637536,0.01507329,0.005230822,0.002438598,0.0008393492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006499911,"about_ca_system_score_gemma":0.005791984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01687293,"about_ca_topic_score_gemma":0.01728717,"domain_scores_codex":[0.9845353,0.003109691,0.001286813,0.00109804,0.008882522,0.001087663],"domain_scores_gemma":[0.8894977,0.05607862,0.009055659,0.01384039,0.02890297,0.002624721],"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":[0.001592644,0.0004686035,0.1943693,0.003001275,0.0005333458,0.0003588682,0.002696012,0.1302256,0.005541011,0.2867651,0.008987165,0.3654611],"study_design_scores_gemma":[0.0001974531,0.00127953,0.1552236,0.002569046,0.0007011691,0.0006102148,0.006383581,0.466484,0.02307257,0.2613612,0.0816123,0.0005053535],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5341721,0.01823434,0.2517333,0.01424684,0.0005819228,0.0006422195,0.005833205,0.001433816,0.1731223],"genre_scores_gemma":[0.9524055,0.002094792,0.04045515,0.0002567079,0.0002793826,0.0001046629,0.00183393,0.0001601753,0.002409768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02803309,"threshold_uncertainty_score":0.1482549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2417164357","doi":"10.5623/cig2016-101","title":"The Canadian Geodetic Vertical Datum of 2013 (CGVD2013)","year":2016,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Geodetic datum; GNSS applications; Geoid; Levelling; Geodesy; North American Datum of 1927; Satellite system; Satellite; Global Positioning System; Geology; Remote sensing; Computer science; Aerospace engineering; Telecommunications; Geophysics; Engineering","authors":[{"name":"M. Véronneau","is_ca":true},{"name":"Jianliang Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01561661077008292,"gpt":0.1895789169880542,"spread":0.1739623062179713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001172437,0.001278916,0.001078876,0.008928701,0.003150831,0.002251659,0.001762744,0.0007612878,0.01882232],"category_scores_gemma":[0.004807117,0.0005823172,0.000751875,0.01749055,0.0004596791,0.0009019975,0.001269286,0.00144678,0.008185544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03194747,"about_ca_system_score_gemma":0.1039411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994827,"about_ca_topic_score_gemma":0.9966714,"domain_scores_codex":[0.9979727,0.00004477688,0.00007752008,0.0001836302,0.001272171,0.0004491883],"domain_scores_gemma":[0.9910557,0.00007402559,0.0002359088,0.0002977813,0.007859056,0.0004773618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002062503,0.00005691673,0.01872453,0.000305454,0.00006901613,0.00007409378,0.0001522912,0.001701484,0.0006334946,0.00290164,0.9430977,0.03207708],"study_design_scores_gemma":[0.00006478107,0.00001916412,0.1627448,0.000166858,0.00004187976,0.00004744287,0.000241075,0.001378113,0.001456104,0.0007239796,0.8330504,0.0000653694],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.006045746,0.0004088847,0.0006674076,0.0005333157,0.000320226,0.00009910559,0.977526,0.000484522,0.01391477],"genre_scores_gemma":[0.0365406,0.0008882021,0.004073272,0.0004079704,0.0000792832,0.000172003,0.9156067,0.0003192265,0.04191267],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03194747,"threshold_uncertainty_score":0.2317961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2980556879","doi":"","title":"AN INTERDISCIPLINARY FRAME FOR UNDERSTANDING VOLUNTEERED GEOGRAPHIC INFORMATION","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Volunteered geographic information; Geography; Frame (networking); Cartography; Geographic information system; Geospatial analysis; Computer science; Telecommunications","authors":[{"name":"Nama Budhathoki","is_ca":false},{"name":"Zorica Nedović‐Budić","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02587636057368359,"gpt":0.3275921506909581,"spread":0.3017157901172745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006396398,0.0005750697,0.0007165078,0.005124118,0.004890606,0.01615148,0.002468304,0.003719407,0.004711227],"category_scores_gemma":[0.006456496,0.000338359,0.0006436678,0.009454336,0.02760451,0.01698301,0.006576129,0.003928134,0.0005836182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005027786,"about_ca_system_score_gemma":0.005702432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007525862,"about_ca_topic_score_gemma":0.005195013,"domain_scores_codex":[0.9963972,0.002503393,0.000170563,0.0003291014,0.0002954305,0.0003043899],"domain_scores_gemma":[0.9940798,0.003612438,0.0005925361,0.0006059069,0.0004853097,0.0006240513],"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":[0.000001511408,0.00000422812,0.0001253755,0.00002554936,9.344854e-7,0.00004422645,0.004690391,0.0001684292,0.00002164646,0.9921466,0.00072543,0.002045647],"study_design_scores_gemma":[0.000005707027,0.00001368087,0.0002918361,0.0002538555,0.000003727411,0.0001228927,0.01564251,0.001553766,0.00004473147,0.907802,0.07425293,0.0000124151],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03405124,0.01377188,0.5372079,0.1137765,0.001970503,0.0004376664,0.0006384805,0.0002118749,0.2979341],"genre_scores_gemma":[0.8542784,0.009692078,0.1161216,0.004136058,0.001219812,0.0008191062,0.0004464191,0.0001006733,0.01318575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01615148,"threshold_uncertainty_score":0.03647929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W155443542","doi":"","title":"RAY-TRACING OPTIONS TO MITIGATE THE NEUTRAL ATMOSPHERE DELAY IN GPS","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"GNSS positioning and interference","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Atmosphere (unit); Global Positioning System; Ray tracing (physics); Tracing; Satellite; Remote sensing; Geography; Geodesy; Path (computing); Computer science; Environmental science; Meteorology; Physics; Telecommunications; Astronomy; Optics","authors":[{"name":"Felipe Geremia‐Nievinski","is_ca":false},{"name":"Marcelo C. Santos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005580665810047319,"gpt":0.200218863349675,"spread":0.1946381975396277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034129,0.0009075134,0.0004394741,0.0006111198,0.000455401,0.001009402,0.001338826,0.000802108,0.008048188],"category_scores_gemma":[0.002990249,0.0002822248,0.000446595,0.0009514245,0.0004799064,0.001140048,0.00132753,0.001361585,0.002843359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004997025,"about_ca_system_score_gemma":0.000637167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002039371,"about_ca_topic_score_gemma":0.003109348,"domain_scores_codex":[0.9995136,0.0001220896,0.00001998943,0.00006068626,0.0002225526,0.00006101879],"domain_scores_gemma":[0.9992381,0.0002390039,0.00007913983,0.0002412797,0.0001709561,0.00003159427],"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":[0.001497265,0.0001922504,0.005126635,0.0003000008,0.0001832678,0.0003572894,0.0007234078,0.1991783,0.08846541,0.1206427,0.008447423,0.574886],"study_design_scores_gemma":[0.0001679492,0.0006818993,0.001908238,0.0001682455,0.000161998,0.0008076276,0.0002829154,0.7648803,0.09571606,0.04159026,0.09351996,0.0001145772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01361555,0.0004940277,0.9768863,0.0001740589,0.0001233373,0.00004159478,0.0001030058,0.002425084,0.006137051],"genre_scores_gemma":[0.3870581,0.001314517,0.597105,0.0002888177,0.0001544253,0.00009477563,0.000537601,0.000736592,0.01271015],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008048188,"threshold_uncertainty_score":0.02692384,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2523252104","doi":"","title":"GOOD GOVERNANCE OF CANADA’S OFFSHORE AND COASTAL ZONE: TOWARDS AN UNDERSTANDING OF THE MARINE BOUNDARY ISSUES","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Maritime boundary; Submarine pipeline; Geography; Corporate governance; Continental shelf; Boundary (topology); Territorial waters; Oceanography; Exclusive economic zone; Geology; Political science; International law; Business; Law","authors":[{"name":"Susan J. Nichols","is_ca":true},{"name":"Michael Sutherland","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01872681761043182,"gpt":0.2156059025559013,"spread":0.1968790849454695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003888204,0.0002529366,0.0004452326,0.001949442,0.01692503,0.02053575,0.001772433,0.003493785,0.002421847],"category_scores_gemma":[0.008926769,0.0003068091,0.0002399624,0.003431208,0.03214935,0.004418662,0.004780757,0.003931729,0.0001216784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08544306,"about_ca_system_score_gemma":0.2100583,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9748181,"about_ca_topic_score_gemma":0.9841835,"domain_scores_codex":[0.9951721,0.001245067,0.0001132176,0.0003853403,0.001251315,0.001832952],"domain_scores_gemma":[0.9924762,0.001663038,0.0006685316,0.000475051,0.002197416,0.002519707],"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":[0.000005606666,0.00001726792,0.006331335,0.00003964066,0.000007142492,0.0001350813,0.0122992,0.001396195,0.0001105902,0.9596927,0.01076716,0.009198049],"study_design_scores_gemma":[0.00002618752,0.0000187228,0.04786703,0.0009486283,0.00003922285,0.0000891575,0.09098807,0.003694422,0.0003396838,0.6300318,0.2258698,0.00008718873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2320717,0.006867578,0.01291264,0.2316842,0.0002492569,0.0001672511,0.0003825149,0.00005997713,0.5156049],"genre_scores_gemma":[0.9884638,0.001319048,0.001389516,0.003424156,0.00002708406,0.0000204727,0.00003777119,0.00001334178,0.005304738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08544306,"threshold_uncertainty_score":0.6199358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2185226792","doi":"","title":"Community Mapping The Recovery (and Discovery) of our Common Ground 1","year":2003,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Common ground; Social connectedness; Indigenous; Geography; Cartography; Empowerment; Participatory planning; Citizen journalism; Sustainable community; Community organization; Sociology; Environmental planning; Sustainable development; Computer science; Political science; Public relations; Ecology; World Wide Web","authors":[{"name":"Maeve Lydon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05706818114198062,"gpt":0.2862784992444699,"spread":0.2292103181024893,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004491656,0.0003456357,0.0003888127,0.003515171,0.00816094,0.009752839,0.001477734,0.001726036,0.006950694],"category_scores_gemma":[0.008840388,0.0002936468,0.0002664906,0.004781086,0.01595993,0.01165571,0.01197245,0.001675772,0.0008254883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003825892,"about_ca_system_score_gemma":0.008144927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909178,"about_ca_topic_score_gemma":0.02711434,"domain_scores_codex":[0.9956611,0.002511094,0.00008155111,0.0004337709,0.000943948,0.0003685603],"domain_scores_gemma":[0.9957303,0.001578679,0.00051019,0.0008709306,0.0007794804,0.0005303366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000287441,0.00004802951,0.004841461,0.0003477118,0.00002115566,0.0005627621,0.1316187,0.0009175202,0.001356759,0.6377469,0.02900718,0.1935031],"study_design_scores_gemma":[0.000009208121,0.00005681354,0.004792065,0.000577508,0.00001541499,0.0006884056,0.146136,0.002136194,0.000900223,0.3561063,0.4885337,0.00004798234],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1729305,0.004863487,0.1712722,0.04504668,0.0007137587,0.0003592023,0.0004863843,0.0006553609,0.6036725],"genre_scores_gemma":[0.9358526,0.001393624,0.03831079,0.000817759,0.00007531585,0.00008605983,0.0001307728,0.0001274388,0.02320561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01909178,"threshold_uncertainty_score":0.0379613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2214956521","doi":"10.5623/cig2014-402","title":"The Use of Unmanned Aerial Vehicles For Disaster Management","year":2014,"lang":"en","type":"article","venue":"GEOMATICA","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Work (physics); Business; Port (circuit theory); Computer security; Investment (military); Diversity (politics); Emergency management; Risk analysis (engineering); Aeronautics; Transport engineering; Engineering; Computer science; Political science","authors":[{"name":"Ged Griffin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01413271807185843,"gpt":0.1952530027164373,"spread":0.1811202846445789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634318,0.0003026581,0.000162639,0.0002175768,0.0001751767,0.000396958,0.000183776,0.0002094307,0.000640878],"category_scores_gemma":[0.0005502785,0.00009016476,0.000179478,0.0003070511,0.0002998138,0.0005378974,0.000358552,0.0002118524,0.00008094332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843511,"about_ca_system_score_gemma":0.0002251444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979927,"about_ca_topic_score_gemma":0.002347235,"domain_scores_codex":[0.999886,0.00005110552,0.000003394841,0.00001595975,0.00003114445,0.00001248745],"domain_scores_gemma":[0.999864,0.00006656186,0.00002435824,0.00001583415,0.00002110583,0.000008154158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001135212,0.00005378402,0.003973701,0.0002400997,0.0001276791,0.0002387714,0.0001062634,0.6825535,0.01736021,0.05068389,0.002797424,0.2417512],"study_design_scores_gemma":[0.000009262,0.0002091473,0.003193916,0.00003863512,0.00003839483,0.0001623467,0.0001763429,0.9354558,0.007427237,0.03293255,0.0203393,0.00001704228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4155151,0.02144937,0.5215572,0.001877078,0.0005241302,0.0000453685,0.0001408669,0.0001718015,0.03871915],"genre_scores_gemma":[0.9732213,0.003515052,0.02021232,0.00004422625,0.00004946944,0.000008966789,0.00002937115,0.00001383632,0.002905489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001979927,"threshold_uncertainty_score":0.003936827,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2515368120","doi":"","title":"Crustal motion and deformation monitoring of the canadian landmass","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geology; Geodesy; Seismology; Motion (physics); Deformation monitoring; Deformation (meteorology); Geography; Remote sensing; Computer science; Computer vision","authors":[{"name":"J. A. Henton","is_ca":false},{"name":"M. Craymer","is_ca":false},{"name":"R. Ferland","is_ca":false},{"name":"H. Dragert","is_ca":false},{"name":"S. Mazzotti","is_ca":false},{"name":"Donald L. Forbes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01089437921200832,"gpt":0.1783472713994814,"spread":0.1674528921874731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003735238,0.0004289759,0.0002281457,0.003292368,0.00177729,0.001060773,0.0008395503,0.0002183701,0.00293163],"category_scores_gemma":[0.00123035,0.0001759471,0.0002622621,0.00565626,0.000495245,0.0004903182,0.0006496654,0.0003102784,0.0003900699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01855286,"about_ca_system_score_gemma":0.01983963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954934,"about_ca_topic_score_gemma":0.998262,"domain_scores_codex":[0.9995788,0.00001661134,0.00001192875,0.00007697157,0.0002403301,0.00007541459],"domain_scores_gemma":[0.9994003,0.0000152678,0.00004223702,0.00002011524,0.0004737252,0.00004831529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002119659,0.00006953102,0.6570165,0.0003385972,0.0002223427,0.000263249,0.001958573,0.03030879,0.01576359,0.009070397,0.02413049,0.260646],"study_design_scores_gemma":[0.00001299373,0.00001529099,0.9531152,0.00005783141,0.00003442995,0.0000478804,0.0007200891,0.01942739,0.002027137,0.0004401279,0.02406085,0.00004068691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9064774,0.003303735,0.004898524,0.001250968,0.0000487315,0.0001288429,0.02171437,0.0003552274,0.06182218],"genre_scores_gemma":[0.9860187,0.000885974,0.003962546,0.0000482948,0.000006321501,0.00001572281,0.003575686,0.00002921104,0.005457476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01855286,"threshold_uncertainty_score":0.134611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2527252489","doi":"","title":"A gravimetric geoid model as a vertical datum in canada","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geodetic datum; Geoid; Geodesy; North American Datum of 1927; Geology; Geography; Division (mathematics); Geophysics; Mathematics","authors":[{"name":"M. Véronneau","is_ca":false},{"name":"Robert Duval","is_ca":false},{"name":"Jianliang Huang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01112659030016779,"gpt":0.1813104325072623,"spread":0.1701838422070945,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000378414,0.0004554483,0.0003774317,0.000683493,0.001377145,0.001980223,0.001440603,0.000470357,0.002714825],"category_scores_gemma":[0.001521781,0.0003857731,0.0003789255,0.002236303,0.0007381376,0.0008814567,0.0007471706,0.0006879416,0.0006741889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01922602,"about_ca_system_score_gemma":0.02018421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904676,"about_ca_topic_score_gemma":0.9821984,"domain_scores_codex":[0.9997,0.00002459693,0.00001262223,0.00006254052,0.0001286109,0.00007168159],"domain_scores_gemma":[0.999541,0.00003673078,0.00002261656,0.00004287573,0.000316073,0.00004056351],"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":[0.0001483873,0.00002622104,0.009602433,0.00004410272,0.00002277761,0.0001139363,0.0001409348,0.8770625,0.001319228,0.05862535,0.01050759,0.04238657],"study_design_scores_gemma":[0.00001193517,0.000008326691,0.003250729,0.0000139819,0.000009281055,0.00001159096,0.00007450852,0.980788,0.0006606361,0.004016262,0.01112878,0.00002599578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5550642,0.001846373,0.3096417,0.003024458,0.0003793326,0.0002504213,0.02874802,0.004815169,0.09623019],"genre_scores_gemma":[0.9167249,0.0006946398,0.05535813,0.00008814879,0.00001571202,0.00004428909,0.00679,0.0002882398,0.01999586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01922602,"threshold_uncertainty_score":0.1394951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166857440","doi":"10.5623/cig2013-036","title":"Using Video Acquired from an Unmanned Aerial Vehicle (UAV) to Measure Fracture Orientation in an Open-Pit Mine","year":2013,"lang":"en","type":"article","venue":"GEOMATICA","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Point cloud; Computer science; Computer vision; Artificial intelligence; Orientation (vector space); Measure (data warehouse); Software; Remote sensing; Computer graphics (images); Geology","authors":[{"name":"T. McLeod","is_ca":true},{"name":"C. Samson","is_ca":true},{"name":"Marc-André Labrie","is_ca":true},{"name":"Khaled Shehata","is_ca":true},{"name":"Jason Mah","is_ca":true},{"name":"P. Lai","is_ca":true},{"name":"Liang Wang","is_ca":true},{"name":"James H. Elder","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04985569083224869,"gpt":0.2814039533063346,"spread":0.2315482624740859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009268829,0.0002810514,0.0003144644,0.001056837,0.0003192705,0.0002799709,0.0004229949,0.000561486,0.0006140867],"category_scores_gemma":[0.0003453576,0.0001765538,0.0001843483,0.0006464149,0.0002048842,0.0002785661,0.0002632054,0.0002893509,0.0001609526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001942995,"about_ca_system_score_gemma":0.00032234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009882505,"about_ca_topic_score_gemma":0.02254181,"domain_scores_codex":[0.9998863,0.000006083299,0.0000046333,0.00002170993,0.00005438319,0.00002690254],"domain_scores_gemma":[0.9997914,0.00002745524,0.00002812949,0.00001333705,0.0001026883,0.00003691214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001024874,0.0008510948,0.1149701,0.0004121238,0.0001855378,0.005136911,0.001222175,0.0442662,0.6678866,0.0004304091,0.003128745,0.1604853],"study_design_scores_gemma":[0.0001006412,0.0008979407,0.5127037,0.00007474348,0.0001455276,0.001816717,0.001886948,0.411563,0.06772725,0.0003556295,0.00264665,0.00008136542],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933487,0.00006554678,0.005013463,0.00003275144,0.00002817978,0.00001896215,0.000337478,0.0001022579,0.001052628],"genre_scores_gemma":[0.9934628,0.00005324082,0.005678165,0.00001586864,0.000007663721,0.000007222615,0.0003037066,0.00001233246,0.0004588873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009882505,"threshold_uncertainty_score":0.01964998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W91894089","doi":"","title":"Data structures and application issues in 3-D geographic information systems","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Geography; Geographic information system; Cartography; Information system; Geospatial analysis; Computer science; Data science; Engineering","authors":[{"name":"Rongxing Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007551511883809334,"gpt":0.2241384067967183,"spread":0.2165868949129089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01183516,0.0007746738,0.001346838,0.003751826,0.002861187,0.01506852,0.004504078,0.003767203,0.008287466],"category_scores_gemma":[0.03917526,0.001583885,0.001545569,0.01532543,0.004778761,0.01827249,0.004517471,0.004505657,0.004016387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918296,"about_ca_system_score_gemma":0.002761687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009621521,"about_ca_topic_score_gemma":0.004433879,"domain_scores_codex":[0.991587,0.003310092,0.001225324,0.0006475211,0.00295675,0.0002733778],"domain_scores_gemma":[0.9770512,0.01402341,0.0007887534,0.003714318,0.003866562,0.0005557372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004751659,0.00005117176,0.001255316,0.0005107867,0.00002771642,0.0002695798,0.0007880169,0.01713041,0.0005414045,0.8437057,0.04076007,0.0949123],"study_design_scores_gemma":[0.00002896398,0.00003391404,0.0006251816,0.0004368173,0.00002836971,0.0005783473,0.0006593866,0.05866743,0.001451474,0.6393154,0.2981054,0.00006930376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008154374,0.01813932,0.8908148,0.04440691,0.002346179,0.0002973171,0.002496343,0.002826313,0.03051841],"genre_scores_gemma":[0.1703545,0.03311565,0.765147,0.004426076,0.003806386,0.0008850378,0.006110408,0.001532201,0.01462271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01506852,"threshold_uncertainty_score":0.06259102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137539224","doi":"","title":"USING THE CASE STUDY METHODOLOGY FOR CADASTRAL REFORM","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cadastre; Geography; Cartography; Regional science","authors":[{"name":"Ian Williamson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1315375828445305,"gpt":0.3522707594425546,"spread":0.2207331765980242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01978804,0.0007299108,0.0008152619,0.005917219,0.002539543,0.004856611,0.001753811,0.002288101,0.01093485],"category_scores_gemma":[0.02254584,0.0004236466,0.00098038,0.007634392,0.004041147,0.005494923,0.003529608,0.001574229,0.00100202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003401615,"about_ca_system_score_gemma":0.004168223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003036371,"about_ca_topic_score_gemma":0.005894183,"domain_scores_codex":[0.9704689,0.02569828,0.000773658,0.0008383354,0.00180835,0.0004125711],"domain_scores_gemma":[0.9725394,0.02178342,0.001367987,0.002114986,0.001878804,0.0003153997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005981859,0.0003366508,0.003142473,0.0009518254,0.00009912187,0.001551611,0.009972592,0.007212332,0.001515891,0.8482469,0.005628464,0.1212825],"study_design_scores_gemma":[0.0001936906,0.0007553135,0.005060662,0.002806145,0.0002468929,0.004335006,0.03803306,0.05639473,0.008975902,0.4967769,0.3862088,0.000212933],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02548322,0.001578603,0.8907167,0.002952175,0.0003058971,0.00322174,0.0004970155,0.0001555544,0.0750891],"genre_scores_gemma":[0.2720669,0.00238622,0.7100815,0.0006812566,0.0001005605,0.004999107,0.0003973949,0.00007405229,0.009212877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01978804,"threshold_uncertainty_score":0.1046504,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2464190297","doi":"","title":"Multiscale characterization of boundaries and landscape ecological patterns","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Geography; Ecology; Cartography; Environmental resource management; Environmental science; Biology","authors":[{"name":"Ferenc Csillag","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004053927975539822,"gpt":0.1883876080166544,"spread":0.1843336800411145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003472268,0.0001339628,0.0002572553,0.001234447,0.0002632511,0.001104957,0.0002867879,0.0003628382,0.001434158],"category_scores_gemma":[0.00210522,0.0001599113,0.0002365146,0.0005247751,0.0008526702,0.001375759,0.0006588745,0.0003843036,0.0001549341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002844401,"about_ca_system_score_gemma":0.0001654007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381709,"about_ca_topic_score_gemma":0.001569959,"domain_scores_codex":[0.999824,0.00003600636,0.00001015094,0.00005964245,0.00003663981,0.00003362835],"domain_scores_gemma":[0.9991233,0.0002952773,0.0002399086,0.0001164743,0.0001054488,0.0001197337],"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":[0.0001604412,0.00008253216,0.0612518,0.0003462156,0.000158595,0.0008783179,0.001902844,0.1096906,0.1038536,0.5727435,0.00458966,0.1443419],"study_design_scores_gemma":[0.00001876466,0.00007871265,0.1878018,0.00008613029,0.00006254744,0.0006585679,0.0008570663,0.4319178,0.005866284,0.3619754,0.0106136,0.00006333122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.575298,0.0009652695,0.4093503,0.0005465493,0.00003723392,0.00003314229,0.0005602427,0.0002465884,0.01296273],"genre_scores_gemma":[0.9714364,0.0001756735,0.02736698,0.00002833292,0.00003293604,0.00001904438,0.0001703623,0.00003317347,0.0007370656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001434158,"threshold_uncertainty_score":0.004797697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2415363387","doi":"","title":"Potential of VGI as a Resource for SDIS in The North/South Context","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Volunteered geographic information; Pace; Geography; The Internet; Context (archaeology); Resource (disambiguation); World Wide Web; Computer science; Line (geometry); Cartography","authors":[{"name":"Elisabetta Genovese","is_ca":false},{"name":"Stéphane Roche","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01207230616471227,"gpt":0.2570078620977201,"spread":0.2449355559330079,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003453294,0.000417986,0.0003426613,0.001654668,0.002139109,0.007629863,0.002261116,0.001609995,0.03317641],"category_scores_gemma":[0.005920392,0.000219916,0.0002852994,0.003171095,0.002242224,0.008743318,0.009277225,0.001424738,0.0062467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002284059,"about_ca_system_score_gemma":0.006375932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03384057,"about_ca_topic_score_gemma":0.03936871,"domain_scores_codex":[0.9990558,0.000420503,0.00002711428,0.0001207461,0.00017865,0.0001970929],"domain_scores_gemma":[0.9952844,0.00112192,0.000188195,0.001050394,0.000807146,0.001548008],"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":[0.0004364641,0.0002353949,0.03323281,0.0008181951,0.00007260744,0.001593438,0.01724884,0.002105322,0.003235016,0.3720172,0.2479156,0.321089],"study_design_scores_gemma":[0.00004033283,0.00008247664,0.007490155,0.0006643184,0.00003481015,0.0005727498,0.01521621,0.003130962,0.001120645,0.05115295,0.9204324,0.00006200682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09028987,0.003975881,0.01971531,0.0912903,0.001080134,0.0003065254,0.00493824,0.002716687,0.7856871],"genre_scores_gemma":[0.7868325,0.005870018,0.05842943,0.0059786,0.0004709132,0.0003581316,0.006344126,0.001542848,0.1341734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03384057,"threshold_uncertainty_score":0.1109861,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2768108767","doi":"10.5623/cig2017-203","title":"Web Mercator and Raster Tile Maps: Two Cornerstones of Online Map Service Providers","year":2017,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mercator projection; Raster graphics; Tile; World Wide Web; Computer science; Web service; Geography; Cartography; Computer graphics (images)","authors":[{"name":"Emmanuel Stefanakis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02883004838944447,"gpt":0.3152582198874643,"spread":0.2864281714980198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01059986,0.0004136208,0.0004689515,0.002941408,0.001767317,0.01026214,0.002404034,0.002386054,0.01596499],"category_scores_gemma":[0.03777556,0.0006951261,0.0004596438,0.004535147,0.005399517,0.02472279,0.005422629,0.004117571,0.002853219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00242624,"about_ca_system_score_gemma":0.004171609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00979459,"about_ca_topic_score_gemma":0.006343624,"domain_scores_codex":[0.9947383,0.001802345,0.0001951068,0.0005481653,0.002345044,0.0003710687],"domain_scores_gemma":[0.9467353,0.02461431,0.002335325,0.0165395,0.007026922,0.002748734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002084415,0.0002211203,0.0131105,0.0001609288,0.00002211702,0.0001274147,0.004528901,0.00134453,0.001184256,0.6447644,0.04600392,0.2883235],"study_design_scores_gemma":[0.00007847453,0.0001668742,0.01348933,0.0004289988,0.00004362154,0.0006777963,0.007326279,0.01887746,0.004929749,0.3859519,0.5678812,0.0001482815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1255065,0.004065396,0.3824283,0.1208794,0.0009877407,0.0005881389,0.002001585,0.008993661,0.3545493],"genre_scores_gemma":[0.7270693,0.003886675,0.2101704,0.008426283,0.00136945,0.0005906142,0.001699632,0.00320979,0.04357789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01596499,"threshold_uncertainty_score":0.05605805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901528478","doi":"10.1139/geomat-2018-0017","title":"A GIS-based multi-criteria decision analysis approach for public school site selection in Surabaya, Indonesia","year":2018,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Multiple-criteria decision analysis; Site selection; Geographic information system; Government (linguistics); Geography; Environmental planning; Population; Transport engineering; Environmental resource management; Computer science; Cartography; Operations research; Engineering; Political science; Environmental science; Sociology","authors":[{"name":"Daniel Hary Prasetyo","is_ca":false},{"name":"Jamilah Mohamad","is_ca":false},{"name":"Rosmadi Fauzi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02221629577066642,"gpt":0.2691633047410553,"spread":0.2469470089703889,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001407953,0.0007958178,0.00108325,0.003317347,0.0009951711,0.00255415,0.001167606,0.0008342596,0.003297258],"category_scores_gemma":[0.002139488,0.000638,0.00116102,0.002198923,0.0005031173,0.0009432363,0.0009417398,0.000589048,0.0002494275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003149543,"about_ca_system_score_gemma":0.004024548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04238955,"about_ca_topic_score_gemma":0.05983261,"domain_scores_codex":[0.9990352,0.0004733894,0.00008294987,0.0001348986,0.0001476377,0.0001258537],"domain_scores_gemma":[0.9989336,0.0006454657,0.00009260076,0.00003321286,0.0001764858,0.0001185753],"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":[0.0005833274,0.001438462,0.05095942,0.0005818822,0.0004495177,0.001163853,0.0008442792,0.7669168,0.00443884,0.004105271,0.002564002,0.1659543],"study_design_scores_gemma":[0.00003375444,0.0001101297,0.01044843,0.00003192943,0.0000749574,0.00007297235,0.001250697,0.9848719,0.0006727251,0.001612484,0.0007943242,0.00002567673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8316639,0.0003639614,0.1520153,0.0005221468,0.0000357497,0.0007580976,0.001255983,0.0003876519,0.01299728],"genre_scores_gemma":[0.9328913,0.0001190036,0.06481127,0.00002166997,0.000007272749,0.0002722663,0.0003488179,0.00002611212,0.001502301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04238955,"threshold_uncertainty_score":0.08428562,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1840999097","doi":"10.5623/cig2015-306","title":"Contextual Douglas-Peucker SIMPLIFICATION","year":2015,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Representation (politics); Computer science; Scale (ratio); Artificial intelligence; Algorithm; Geography; Cartography","authors":[{"name":"Titus Tienaah","is_ca":true},{"name":"Emmanuel Stefanakis","is_ca":true},{"name":"David Coleman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08855643296715725,"gpt":0.3393504833756819,"spread":0.2507940504085246,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002220864,0.0006083229,0.001016041,0.002274152,0.00323844,0.003408808,0.001925614,0.001378415,0.04287494],"category_scores_gemma":[0.01610778,0.0005177174,0.001249543,0.003615067,0.003032148,0.007145035,0.004062176,0.002661868,0.003869268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002238763,"about_ca_system_score_gemma":0.001543719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008519532,"about_ca_topic_score_gemma":0.008491549,"domain_scores_codex":[0.997484,0.0009047316,0.0001875158,0.0005470151,0.000536463,0.000340168],"domain_scores_gemma":[0.9970018,0.00102738,0.0001046433,0.001112122,0.0006278828,0.0001262075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001292273,0.000007319951,0.00008399367,0.00002258401,0.000004111152,0.00005265361,0.0001571767,0.0007119259,0.00008722058,0.9895083,0.003559018,0.005792831],"study_design_scores_gemma":[0.00001368165,0.000006860416,0.0001802725,0.0000254864,0.00001406132,0.0001156032,0.0002012655,0.004954212,0.0004026613,0.9591302,0.03494393,0.00001181145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04257215,0.001382589,0.4343462,0.007089053,0.001037551,0.0001448092,0.001616951,0.0007888362,0.5110219],"genre_scores_gemma":[0.8034054,0.001206247,0.1052662,0.001077692,0.0005877297,0.000144644,0.001565722,0.0006878869,0.08605845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04287494,"threshold_uncertainty_score":0.1434309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886752202","doi":"10.1139/geomat-2018-0007","title":"A cyclic self-learning Chinese word segmentation for the geoscience domain","year":2018,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Topic Modeling","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Context (archaeology); Domain (mathematical analysis); Benchmark (surveying); Natural language processing; Text segmentation; Segmentation; Word (group theory); Artificial intelligence; Information retrieval; Geography; Archaeology; Linguistics; Cartography","authors":[{"name":"Qinjun Qiu","is_ca":false},{"name":"Zhong Xie","is_ca":false},{"name":"Liang Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0110331818280587,"gpt":0.2655054943658863,"spread":0.2544723125378276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006259039,0.001242863,0.001191711,0.002609696,0.001034861,0.0008351715,0.001536254,0.001131064,0.005080044],"category_scores_gemma":[0.001599911,0.0004730142,0.001223634,0.002795712,0.0005041297,0.002041991,0.001454591,0.001218514,0.002518465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007321265,"about_ca_system_score_gemma":0.002279312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721934,"about_ca_topic_score_gemma":0.02416062,"domain_scores_codex":[0.9994013,0.00009290831,0.000048349,0.0002813433,0.00009562544,0.00008032022],"domain_scores_gemma":[0.999041,0.0003933807,0.00004473581,0.0001463988,0.0002850767,0.00008925008],"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":[0.0007856818,0.0003332273,0.002585096,0.0003599855,0.000138696,0.0002976171,0.0003410847,0.03100223,0.03022595,0.006131897,0.01997027,0.9078282],"study_design_scores_gemma":[0.00007626951,0.0001617904,0.001461969,0.00002236871,0.00009029553,0.0001474399,0.0001663574,0.9715638,0.01171242,0.007403111,0.007159408,0.00003485302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09494776,0.001893042,0.8854444,0.0004458952,0.0003376952,0.0002369759,0.002009002,0.01052493,0.004160366],"genre_scores_gemma":[0.3667708,0.0009005271,0.6066256,0.0003435914,0.0003354036,0.0003293261,0.01235041,0.001153708,0.01119069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01721934,"threshold_uncertainty_score":0.03423822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2511451891","doi":"","title":"Ionosphere modelling using carrier smoothed ionosphere observations from a regional GPS network","year":2002,"lang":"en","type":"article","venue":"GEOMATICA","topic":"GNSS positioning and interference","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Ionosphere; Geodesy; Global Positioning System; Humanities; Geography; Physics; Philosophy; Telecommunications; Computer science; Geophysics","authors":[{"name":"Yang Gao","is_ca":true},{"name":"Xiangqian Liao","is_ca":true},{"name":"Zhizhao Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07139891798544813,"gpt":0.2064504428185148,"spread":0.1350515248330666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001661848,0.000455844,0.0003373173,0.0003240198,0.0001496466,0.0004331586,0.0005246746,0.0003569906,0.0008000215],"category_scores_gemma":[0.0006385403,0.0002029839,0.0004463035,0.0004174634,0.0001296708,0.0004093856,0.0002750346,0.0002746256,0.0004608312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003342556,"about_ca_system_score_gemma":0.0006192485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0258416,"about_ca_topic_score_gemma":0.02789742,"domain_scores_codex":[0.9999211,0.00001637015,0.000003596066,0.00002437704,0.00002383216,0.00001075027],"domain_scores_gemma":[0.9999173,0.00002483987,0.00001387487,0.0000148516,0.00002520334,0.000004032999],"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":[0.00007416434,0.00000889443,0.004977406,0.00003171699,0.00005631626,0.00004532101,0.00005399853,0.9470209,0.006824873,0.000631336,0.0002903031,0.03998465],"study_design_scores_gemma":[0.00001652234,0.00004704896,0.004994428,0.000007759892,0.00005159016,0.0000454352,0.00002969642,0.9885122,0.003187004,0.0006204777,0.002472638,0.00001532702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1909135,0.0003459002,0.8041596,0.00009067788,0.00003043252,0.0000388766,0.0006233594,0.001694958,0.00210253],"genre_scores_gemma":[0.8555731,0.0006595615,0.1360874,0.0000207842,0.00002575028,0.00006949897,0.001105753,0.0001641356,0.006294048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0258416,"threshold_uncertainty_score":0.05138236,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2198162374","doi":"10.5623/cig2015-203","title":"Examining Urban Expansion In The Greater Toronto Area Using Landsat Imagery From 1974–2014","year":2015,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"Tianjin University; U.S. Geological Survey; University of Waterloo","keywords":"Urban expansion; Geography; Remote sensing; Physical geography; Satellite imagery; Cartography; Environmental science; Urban planning; Engineering; Civil engineering","authors":[{"name":"Lanying Wang","is_ca":true},{"name":"Wei Li","is_ca":true},{"name":"Shiqian Wang","is_ca":true},{"name":"Jonathan Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04532492707520583,"gpt":0.2284683183335288,"spread":0.183143391258323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002045067,0.0002565621,0.0001400465,0.00220854,0.000771348,0.000856393,0.0004339259,0.000271449,0.002014097],"category_scores_gemma":[0.0008669437,0.0001872308,0.0002784013,0.005062452,0.0004809773,0.0004331465,0.0006711793,0.0002734212,0.0001919982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01205463,"about_ca_system_score_gemma":0.006091967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9718658,"about_ca_topic_score_gemma":0.9932301,"domain_scores_codex":[0.999841,0.00001461191,0.00001015649,0.00003530087,0.00004110384,0.0000578845],"domain_scores_gemma":[0.9994227,0.0000515196,0.0001697635,0.00002694818,0.0002185497,0.0001105837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001084107,0.00002851103,0.973825,0.000115766,0.0001461473,0.0004750375,0.00320733,0.002457206,0.0008682198,0.0005677614,0.006299551,0.011901],"study_design_scores_gemma":[0.000001199219,0.000004140735,0.9952059,0.00001440133,0.00001334367,0.00003070211,0.001193975,0.0003853668,0.00006207003,0.00000968667,0.003075825,0.000003322538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869518,0.0008232699,0.0001037057,0.0002553557,0.000009729944,0.00001442814,0.008998157,0.00001150634,0.002832062],"genre_scores_gemma":[0.9934998,0.0005418592,0.0001592144,0.00002692176,0.0000122792,0.000009580007,0.004001633,0.000005270153,0.001743486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02813423,"threshold_uncertainty_score":0.0874629,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2224019690","doi":"10.5623/cig2011-006","title":"Encouraging Transdisciplinary Participation Using an Open Source Cybercartographic Toolkit: The Atlas of the Lake Huron Treaty Relationship Process","year":2011,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Atlas (anatomy); Outreach; Process (computing); Obstacle; Computer science; Data science; Software; Set (abstract data type); Knowledge management; Open source software; Management science; Process management; Political science; Engineering","authors":[{"name":"Glenn Brauen","is_ca":true},{"name":"Stephanie Pyne","is_ca":true},{"name":"Amos Hayes","is_ca":true},{"name":"Jean-Pierre Fiset","is_ca":true},{"name":"D. R. Fraser Taylor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1301435098984828,"gpt":0.3563716935528361,"spread":0.2262281836543533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007113955,0.000253672,0.0001322234,0.001260861,0.008801028,0.004219868,0.00112013,0.001169018,0.02878052],"category_scores_gemma":[0.01182317,0.0002626337,0.0002165973,0.001926327,0.002471688,0.003550434,0.009490235,0.002013792,0.002803537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002830112,"about_ca_system_score_gemma":0.009355554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01749775,"about_ca_topic_score_gemma":0.09874825,"domain_scores_codex":[0.9959102,0.002684936,0.00007343884,0.0002160151,0.0006408932,0.0004745456],"domain_scores_gemma":[0.9897056,0.004547776,0.0006228032,0.001630263,0.0008190791,0.002674567],"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":[0.0003079037,0.000652717,0.02204021,0.0003933132,0.00002349182,0.0007485975,0.2636535,0.002167766,0.007136429,0.1114323,0.2540573,0.3373865],"study_design_scores_gemma":[0.00005568564,0.0001096821,0.0182839,0.000125285,0.00001126928,0.0001026858,0.08488384,0.001317791,0.001607429,0.01206366,0.8813864,0.00005243369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3003913,0.0002661247,0.03420474,0.01573777,0.0004996643,0.001242741,0.001217429,0.002069942,0.6443703],"genre_scores_gemma":[0.8010083,0.0002608256,0.03221744,0.00143588,0.0001579925,0.001621132,0.00125224,0.0006166582,0.1614295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825022,"threshold_uncertainty_score":0.09628046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139045525","doi":"10.5623/cig2012-023","title":"Recent Developments in Precise Point Positioning","year":2012,"lang":"en","type":"article","venue":"GEOMATICA","topic":"GNSS positioning and interference","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"Natural Resources Canada; York University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Precise Point Positioning; Convergence (economics); Ambiguity resolution; Computer science; Ambiguity; Integer (computer science); Kinematics; Point (geometry); Constant (computer programming); Algorithm; Mathematical optimization; Global Positioning System; Mathematics; Telecommunications; GNSS applications; Geometry","authors":[{"name":"Sunil Bisnath","is_ca":true},{"name":"Paul Collins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01186952527329912,"gpt":0.2141330462744236,"spread":0.2022635210011245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002199995,0.0009201027,0.0008978383,0.002014366,0.0004244715,0.00191119,0.001616518,0.001469892,0.006457414],"category_scores_gemma":[0.004372366,0.0005705112,0.0005189207,0.005080406,0.001285256,0.002907023,0.001653556,0.001746288,0.004393177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006766691,"about_ca_system_score_gemma":0.0009910426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364611,"about_ca_topic_score_gemma":0.001378979,"domain_scores_codex":[0.9986399,0.0002734132,0.00009354523,0.0003448199,0.000565441,0.00008279392],"domain_scores_gemma":[0.9956933,0.001921165,0.0002673445,0.0005513356,0.001416331,0.0001506257],"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":[0.0001630808,0.00004629394,0.002246416,0.002249924,0.00006585244,0.0001362391,0.0001814728,0.00906154,0.007522114,0.04057698,0.008650963,0.9290991],"study_design_scores_gemma":[0.00003233197,0.0004073701,0.006017854,0.0009392151,0.0001911284,0.001467046,0.0003064613,0.02402924,0.01279597,0.03905977,0.9146135,0.0001402052],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01468269,0.4294231,0.4765892,0.005388727,0.004401722,0.00008611729,0.0004640138,0.0009836437,0.06798086],"genre_scores_gemma":[0.1682639,0.51196,0.2746404,0.002300877,0.009649292,0.0001284864,0.001616695,0.0002961886,0.03114416],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006457414,"threshold_uncertainty_score":0.02160221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401465305","doi":"10.1016/j.geomat.2024.100003","title":"Assessment of flood susceptibility in Sylhet using analytical hierarchy process and geospatial technique","year":2024,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Flood myth; Hierarchy; Analytic hierarchy process; Process (computing); Computer science; Geography; Data science; Data mining; Remote sensing; Engineering; Operations research; Archaeology; Political science; Programming language","authors":[{"name":"Md. Saalim Shadmaan","is_ca":false},{"name":"K.M. Hassan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01020169240789791,"gpt":0.3149083677857901,"spread":0.3047066753778922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009404854,0.0004438779,0.0002997389,0.003832944,0.0005547627,0.001447436,0.0004282285,0.0003792891,0.001340627],"category_scores_gemma":[0.002254343,0.0002034757,0.0006657972,0.003598778,0.0004177396,0.0008883097,0.001021737,0.0003708643,0.0001329325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009499567,"about_ca_system_score_gemma":0.001255748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01289959,"about_ca_topic_score_gemma":0.01394192,"domain_scores_codex":[0.9991056,0.0003099236,0.00006634715,0.00007051151,0.0003586791,0.00008877588],"domain_scores_gemma":[0.999164,0.0003414509,0.0001691104,0.00003462227,0.0002368073,0.00005409054],"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":[0.0004461729,0.0004207743,0.2193655,0.001217739,0.0005300749,0.002269166,0.008080915,0.3241171,0.02810708,0.02985925,0.003688622,0.3818976],"study_design_scores_gemma":[0.00003916307,0.0005084669,0.1156122,0.0001535273,0.0001573316,0.0004127597,0.009804627,0.8441327,0.006133063,0.01725701,0.005676626,0.0001124531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7203472,0.0005943589,0.2625578,0.0005447124,0.00003948302,0.0006112641,0.0007788846,0.0002906598,0.01423557],"genre_scores_gemma":[0.9573423,0.000273148,0.04117109,0.00001284541,0.000007851526,0.000103794,0.0002550124,0.000006188612,0.0008276782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01289959,"threshold_uncertainty_score":0.02564907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403144134","doi":"10.1016/j.geomat.2024.100029","title":"Evaluating monsoon season heavy metal contamination in groundwater of Uttar Dinajpur District using pollution indices and Principal Component analysis","year":2024,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Uttar pradesh; Environmental science; Pollution; Principal component analysis; Monsoon; Groundwater; Contamination; Hydrology (agriculture); Water resource management; Geography; Geology; Socioeconomics; Biology; Mathematics; Ecology; Statistics; Meteorology","authors":[{"name":"Fazlur Rahman","is_ca":false},{"name":"Wasim Akram","is_ca":false},{"name":"Danish Khan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05511706663908961,"gpt":0.3438167398759757,"spread":0.2886996732368861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003366027,0.0003757626,0.0002974833,0.001664705,0.0004370627,0.001146707,0.000343663,0.0003225856,0.0005717512],"category_scores_gemma":[0.0005804871,0.0001678596,0.0003527812,0.002457901,0.0003771515,0.0002703155,0.0005885437,0.0002261864,0.0001224482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005258857,"about_ca_system_score_gemma":0.0008653636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03384446,"about_ca_topic_score_gemma":0.06563909,"domain_scores_codex":[0.9996437,0.00009623145,0.00003526234,0.0000636079,0.00009398737,0.00006720908],"domain_scores_gemma":[0.9996815,0.00006704537,0.00009578716,0.00002200675,0.00009695057,0.00003672995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002774244,0.0001722616,0.9106357,0.0003071224,0.0002025752,0.0007976863,0.002056548,0.003105446,0.02196578,0.0003527513,0.0006611252,0.05946567],"study_design_scores_gemma":[0.000006004282,0.0001848903,0.9875651,0.00002027858,0.00008336656,0.0003307886,0.002544244,0.004906421,0.002985789,0.000204166,0.001146244,0.00002279306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997347,0.000133132,0.001003992,0.00004624666,0.000004950405,0.00002158052,0.0004762933,0.00003421811,0.0009324864],"genre_scores_gemma":[0.9974292,0.0001175998,0.001593032,0.00001711775,0.000003286398,0.00001451161,0.0004745481,0.000004303055,0.0003463878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03384446,"threshold_uncertainty_score":0.06729496,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407242224","doi":"10.1016/j.geomat.2025.100049","title":"LW-UAV–YOLOv10: A lightweight model for small UAV detection on infrared data based on YOLOv10","year":2025,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Infrared; Computer science; Remote sensing; Geography; Physics; Optics","authors":[{"name":"T.P. Nguyen","is_ca":false},{"name":"Nguyễn Long Giang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07131939130334962,"gpt":0.2877349126026619,"spread":0.2164155212993123,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730901,0.0007693809,0.0005006369,0.0005130896,0.000242664,0.0006894147,0.001350147,0.0005769485,0.001416083],"category_scores_gemma":[0.0008022697,0.0003217523,0.0007151728,0.0002524928,0.0003939126,0.0008276823,0.0007113019,0.000665266,0.0007072004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006669254,"about_ca_system_score_gemma":0.00085368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01045536,"about_ca_topic_score_gemma":0.01031419,"domain_scores_codex":[0.9997563,0.00002863765,0.0000123911,0.00008490898,0.00007778456,0.00004001594],"domain_scores_gemma":[0.9996971,0.0000831433,0.0000605978,0.00003982014,0.00009431393,0.00002517811],"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":[0.0002632775,0.00009588771,0.007053927,0.0001644042,0.0000752243,0.0001881775,0.0001192345,0.84524,0.03681222,0.008930705,0.002120072,0.09893697],"study_design_scores_gemma":[0.000004133855,0.00003632494,0.0004495156,0.000004389778,0.000007716528,0.0000269742,0.000008674999,0.995831,0.001866938,0.0006476173,0.001109909,0.00000678151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03997961,0.0002379677,0.9559861,0.00009035517,0.00007114637,0.00006299097,0.000119855,0.001096764,0.002355155],"genre_scores_gemma":[0.7746367,0.0005122373,0.2149136,0.0001878154,0.00005562056,0.0001911604,0.0007326237,0.0002900061,0.008480182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01045536,"threshold_uncertainty_score":0.02078903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2314386248","doi":"10.5623/cig2011-045","title":"Soil landscapes of canada: Building a National Framework for Environmental Information","year":2011,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Landform; Soil map; Digital soil mapping; Soil series; Soil functions; Soil survey; Geography; Soil classification; Geographic information system; Variety (cybernetics); Environmental science; Soil science; Soil water; Cartography; Soil fertility; Mathematics; Soil biodiversity; Statistics","authors":[{"name":"Peter Schut","is_ca":true},{"name":"Scott Smith","is_ca":true},{"name":"Walter Fraser","is_ca":true},{"name":"Xiaoyuan Geng","is_ca":true},{"name":"David Kroetsch","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01039958023925394,"gpt":0.1967775331138589,"spread":0.186377952874605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650727,0.0004992261,0.0005441738,0.007069902,0.005532638,0.006491322,0.001796221,0.0006792762,0.003820169],"category_scores_gemma":[0.008145508,0.0005282678,0.000700406,0.01319964,0.001602847,0.001850867,0.003030788,0.001038116,0.0003471479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08030421,"about_ca_system_score_gemma":0.2043229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971803,"about_ca_topic_score_gemma":0.9985694,"domain_scores_codex":[0.9980325,0.0003003505,0.0001368653,0.0001604353,0.0009171758,0.0004527024],"domain_scores_gemma":[0.993869,0.0003881117,0.0002914059,0.0002810452,0.004353701,0.0008166844],"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":[0.0001269695,0.0001669495,0.1683616,0.001074365,0.0002191955,0.0004630546,0.00473797,0.03169644,0.001781497,0.2447852,0.1953298,0.351257],"study_design_scores_gemma":[0.00004104131,0.00004600246,0.4247684,0.001565495,0.0002609652,0.000311802,0.01331638,0.0483718,0.001721511,0.03476064,0.474642,0.0001939045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3613497,0.01657007,0.1431532,0.06051023,0.0004478208,0.002169297,0.1793326,0.003635992,0.2328312],"genre_scores_gemma":[0.7323946,0.006476328,0.2084574,0.001433771,0.00003598711,0.00060432,0.02980041,0.0004412651,0.02035605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08030421,"threshold_uncertainty_score":0.5826505,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2967215329","doi":"","title":"The Way Forward: Advances in Maintaining Right-of-Way of Transmission Lines","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Right of way; Transmission (telecommunications); Geography; Telecommunications; Cartography; Computer science; Engineering; Transport engineering","authors":[{"name":"Ima Ituen","is_ca":false},{"name":"Gunho Sohn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004481662449997478,"gpt":0.2282681652229198,"spread":0.2237865027729223,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003939495,0.0009633762,0.0005327229,0.001178404,0.001206285,0.004360192,0.003436627,0.001489093,0.02126275],"category_scores_gemma":[0.008541027,0.0003031612,0.0003802713,0.001373804,0.001701037,0.01219902,0.003516262,0.002459961,0.011941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009580686,"about_ca_system_score_gemma":0.002733871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005030454,"about_ca_topic_score_gemma":0.006041683,"domain_scores_codex":[0.9979246,0.0004223419,0.0001181078,0.0004916919,0.0008513266,0.0001919291],"domain_scores_gemma":[0.9896389,0.001265569,0.001051589,0.002655288,0.004305706,0.001082948],"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":[0.00009278385,0.000107595,0.003922107,0.0004375841,0.00002198813,0.00007464171,0.0006669298,0.003905141,0.004076063,0.04135484,0.04668774,0.8986526],"study_design_scores_gemma":[0.00002389055,0.0001797576,0.003000566,0.0005373429,0.00004074736,0.0003165311,0.00120647,0.009633817,0.005538116,0.02789089,0.9515517,0.00008013952],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03412714,0.04578359,0.7442875,0.03795315,0.00456286,0.0001643832,0.001226985,0.0104016,0.1214928],"genre_scores_gemma":[0.4237308,0.03690466,0.4693533,0.004708145,0.002472244,0.0001819714,0.003094537,0.002233221,0.05732113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02126275,"threshold_uncertainty_score":0.07113105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1604308338","doi":"","title":"On the correct determination of transformation parameters of a horizontal geodetic datum","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"York University; University of New Brunswick","funders":"","keywords":"Geodetic datum; Geodesy; Transformation (genetics); North American Datum of 1927; Geography; Geology; Cartography","authors":[{"name":"Petr Vaníček","is_ca":true},{"name":"Pavel Novák","is_ca":false},{"name":"M. Craymer","is_ca":false},{"name":"Spiros Pagiatakis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01416236182709665,"gpt":0.1934703632831377,"spread":0.179308001456041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817779,0.0008469135,0.0007839765,0.0009648932,0.0007048136,0.002421632,0.001041935,0.001066852,0.003293419],"category_scores_gemma":[0.007323427,0.0005013764,0.000484673,0.001720632,0.001558729,0.002343935,0.001293194,0.001912144,0.002891963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005252438,"about_ca_system_score_gemma":0.001817289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005632279,"about_ca_topic_score_gemma":0.00398378,"domain_scores_codex":[0.9987416,0.0004084482,0.00007659916,0.0003694048,0.0003364169,0.00006757204],"domain_scores_gemma":[0.9985498,0.0004947977,0.000206373,0.0003277401,0.0003933242,0.00002799704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001050148,0.00004745452,0.003797781,0.0005698715,0.00006248871,0.0003494228,0.000475213,0.1263808,0.02050231,0.333023,0.007609465,0.5070772],"study_design_scores_gemma":[0.00006598588,0.0001299826,0.005922031,0.0002987568,0.00009014583,0.0007629982,0.0007936673,0.5847811,0.03451882,0.2870592,0.08539622,0.0001811518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003970386,0.0002710529,0.9930673,0.0002103765,0.0000811411,0.00002318806,0.00017287,0.0002200181,0.001983717],"genre_scores_gemma":[0.1174855,0.001670389,0.8739028,0.0001798636,0.0002141003,0.0001024263,0.00109214,0.0005181463,0.004834752],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005632279,"threshold_uncertainty_score":0.011199,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2335751979","doi":"10.5623/cig2012-007","title":"<i>PlotGoogleMaps</i>: The R-Based Web-Mapping Tool for Thematic Spatial Data","year":2012,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Science and Engineering Research Board","keywords":"Computer science; Thematic map; Web mapping; World Wide Web; Software; Data mapping; Web application; Web page; Information retrieval; Web modeling; Database; Cartography; Geography; Programming language","authors":[{"name":"Milan Kilibarda","is_ca":false},{"name":"Branislav Bajat","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09536345064276563,"gpt":0.3277436977090112,"spread":0.2323802470662455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003683442,0.003067706,0.002036116,0.006232718,0.001178383,0.003975346,0.005442222,0.001461666,0.1981887],"category_scores_gemma":[0.0268036,0.002116746,0.002150329,0.008196592,0.001093454,0.00500715,0.004797657,0.003637599,0.1057135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007497465,"about_ca_system_score_gemma":0.002055181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009103476,"about_ca_topic_score_gemma":0.01335828,"domain_scores_codex":[0.9976193,0.0004589836,0.0003222,0.0004331944,0.0009139297,0.0002524019],"domain_scores_gemma":[0.988042,0.00512541,0.0007615786,0.002940803,0.00239834,0.0007318262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001557649,0.00003834831,0.001067322,0.0007721712,0.0001527445,0.0002662528,0.0003786561,0.0009038718,0.003045488,0.004814477,0.9516244,0.03678048],"study_design_scores_gemma":[0.000331534,0.00003724774,0.003179642,0.0003741983,0.0001735527,0.0005303613,0.000205652,0.01293565,0.0228409,0.02419002,0.9348869,0.0003144776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001234062,0.0001747639,0.2092878,0.001184023,0.0006191064,0.0002661893,0.2361494,0.5389635,0.01212119],"genre_scores_gemma":[0.02047754,0.000436057,0.3127613,0.001092189,0.0004517993,0.001301748,0.3044703,0.345034,0.01397518],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1981887,"threshold_uncertainty_score":0.6630073,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2334801791","doi":"10.5623/cig2011-023","title":"A Scalable GeoWeb Tool for Argumentation Mapping","year":2011,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Public participation GIS; Geospatial analysis; Computer science; Volunteered geographic information; World Wide Web; Deliberation; Geographic information system; Participatory GIS; Scalability; Discoverability; Data science; Crowdsourcing; Metadata; Citizen journalism; GIS and public health; Database; Geography; Remote sensing","authors":[{"name":"Aaron P Sani","is_ca":true},{"name":"Claus Rinner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05995961726030451,"gpt":0.286992956001542,"spread":0.2270333387412374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002446635,0.002153976,0.001749283,0.008905355,0.001443722,0.005762571,0.002781338,0.002154692,0.05146256],"category_scores_gemma":[0.01316724,0.00128102,0.001782499,0.005456518,0.0006533356,0.006780507,0.007721631,0.001642186,0.01805111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009490028,"about_ca_system_score_gemma":0.002013813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006222005,"about_ca_topic_score_gemma":0.01176236,"domain_scores_codex":[0.9981992,0.0004406655,0.0002610822,0.0002720802,0.0007332699,0.00009378196],"domain_scores_gemma":[0.9931103,0.003942649,0.000299873,0.001351231,0.0007958329,0.0005001712],"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":[0.0007815164,0.0004191854,0.003904494,0.002336178,0.0004886758,0.00130411,0.001953132,0.01282704,0.007405041,0.045183,0.3452154,0.5781822],"study_design_scores_gemma":[0.0007493913,0.000122112,0.003095252,0.0007590633,0.0002310556,0.001013207,0.001644973,0.2156212,0.01456744,0.1477743,0.6141309,0.0002911932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005876468,0.0005471077,0.6016783,0.0007458807,0.0002669258,0.0006401273,0.02738808,0.3489627,0.01389441],"genre_scores_gemma":[0.09131267,0.001062812,0.7838211,0.0004657113,0.0001444001,0.001893821,0.07590563,0.02404227,0.02135157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05146256,"threshold_uncertainty_score":0.1721594,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402187667","doi":"10.1016/j.geomat.2024.100023","title":"A comparative analysis of PlanetScope 4-band and 8-band imageries for land use land cover classification","year":2024,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"University of Prince Edward Island","funders":"Department of Energy, Environment and Climate Action; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Princeton Environmental Institute, Princeton University","keywords":"Land cover; Remote sensing; Support vector machine; Cohen's kappa; Environmental science; Satellite imagery; Agricultural land; Random forest; Land use; Cartography; Computer science; Geography; Artificial intelligence; Machine learning; Ecology","authors":[{"name":"Sana Basheer","is_ca":true},{"name":"Xiuquan Wang","is_ca":true},{"name":"Rana Ali Nawaz","is_ca":true},{"name":"Tianze Pang","is_ca":true},{"name":"Toyin Adekanmbi","is_ca":true},{"name":"Muhammad Qasim Mahmood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03778723101058647,"gpt":0.2737110143003825,"spread":0.2359237832897961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423867,0.0003457583,0.0002185865,0.002634359,0.0002081187,0.0005374608,0.0002187187,0.0002198412,0.001008019],"category_scores_gemma":[0.002113605,0.00009342187,0.00037069,0.001547297,0.0001747767,0.0007178779,0.0001929409,0.000176682,0.0004995049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003258258,"about_ca_system_score_gemma":0.0002845497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081638,"about_ca_topic_score_gemma":0.02230504,"domain_scores_codex":[0.9993581,0.0001094514,0.00004646781,0.0001046681,0.0003246574,0.00005671435],"domain_scores_gemma":[0.9985177,0.0003781884,0.00009108971,0.0001098606,0.0008526815,0.00005054482],"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":[0.0009610279,0.0002493827,0.3915683,0.0003708631,0.0003368262,0.0003213205,0.0006368978,0.01264007,0.04054398,0.001186042,0.00583415,0.5453511],"study_design_scores_gemma":[0.00002007816,0.0003209079,0.8845714,0.00004683482,0.0001598846,0.0002773058,0.0009893057,0.09341124,0.01481151,0.0003397421,0.005011951,0.00003979655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675531,0.0006816813,0.02131106,0.00009289916,0.00004275006,0.0001266141,0.002191833,0.0003385999,0.007661463],"genre_scores_gemma":[0.9629436,0.0003980748,0.03005744,0.0000252755,0.00001631227,0.00005250392,0.003880308,0.000063054,0.002563382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081638,"threshold_uncertainty_score":0.02150679,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2527482605","doi":"","title":"AIRBORNE KINEMATIC POSITIONING USING PRECISE POINT POSITIONING METHODOLOGY","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Precise Point Positioning; Kinematics; Geodesy; Geography; Remote sensing; Point (geometry); Computer science; Global Positioning System; GNSS applications; Cartography; Mathematics; Physics; Geometry; Telecommunications","authors":[{"name":"Yang Gao","is_ca":false},{"name":"Adam Wojciechowski","is_ca":false},{"name":"K. Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02076080774955685,"gpt":0.2496749336075192,"spread":0.2289141258579624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004272851,0.0006109687,0.0003482756,0.001246139,0.0003035505,0.000916822,0.0006335314,0.0004293494,0.003562533],"category_scores_gemma":[0.0005894003,0.0002758256,0.0003615699,0.001641844,0.0002419681,0.0005451075,0.0007739607,0.0003643616,0.002400865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770491,"about_ca_system_score_gemma":0.0006370267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002647222,"about_ca_topic_score_gemma":0.002428182,"domain_scores_codex":[0.9994679,0.0000990054,0.00002713343,0.0001281153,0.0002449713,0.0000329134],"domain_scores_gemma":[0.999782,0.00002766496,0.00003434948,0.00004797518,0.0001013127,0.000006768537],"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":[0.00007837694,0.00004245866,0.003960093,0.0005358877,0.00009949056,0.0002775475,0.0003615654,0.1001135,0.0627516,0.04891141,0.005841307,0.7770268],"study_design_scores_gemma":[0.0001393459,0.001280891,0.02466051,0.0003785544,0.0002195651,0.00169261,0.0006046346,0.6328983,0.06402149,0.03508664,0.2388133,0.000204089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00392557,0.0002184537,0.9917945,0.00001645691,0.00006346115,0.00003595691,0.0002191412,0.0004019683,0.003324528],"genre_scores_gemma":[0.1502423,0.001192306,0.8378063,0.00003410935,0.0001098022,0.0002050402,0.001280408,0.0001061661,0.009023519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003562533,"threshold_uncertainty_score":0.01191789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2514400434","doi":"","title":"GPS monitoring of crustal strain in southwest british columbia with the western canada deformation array","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Global Positioning System; Geography; Geology; Geodesy; Seismology; Deformation (meteorology); Strain (injury); Archaeology; Cartography; Remote sensing; Oceanography; Telecommunications","authors":[{"name":"H. Dragert","is_ca":false},{"name":"X. Chen","is_ca":false},{"name":"J. Kouba","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006637923804118049,"gpt":0.169153328895874,"spread":0.1625154050917559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002194881,0.0002824609,0.0001908923,0.001287172,0.001378149,0.000707164,0.0006322478,0.000240398,0.002150191],"category_scores_gemma":[0.0006834073,0.0002038151,0.0001106387,0.003903585,0.0003451402,0.0002321273,0.0005673184,0.0003149417,0.0004814702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01121623,"about_ca_system_score_gemma":0.01308113,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971414,"about_ca_topic_score_gemma":0.9992507,"domain_scores_codex":[0.9997352,0.0000223214,0.00001677334,0.00005668226,0.0001080111,0.00006104035],"domain_scores_gemma":[0.9990649,0.00002972217,0.0000814564,0.0000309982,0.0006604636,0.0001324834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001110383,0.00006132786,0.9455751,0.00008104616,0.00007805335,0.0002333552,0.001363427,0.0009548389,0.002747506,0.0002020074,0.009864912,0.03872732],"study_design_scores_gemma":[0.000006886353,0.000007546429,0.994749,0.00002129477,0.00001287897,0.00002626222,0.0007729367,0.0004643234,0.0002329727,0.00001338093,0.003684659,0.000007958177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707375,0.0007496975,0.0003578123,0.0004230615,0.00001833473,0.000077338,0.01644086,0.00004837921,0.01114707],"genre_scores_gemma":[0.9816267,0.000716646,0.0009345809,0.0001223447,0.000005815421,0.00003978275,0.005875824,0.00001434873,0.01066389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01121623,"threshold_uncertainty_score":0.08137989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2262162781","doi":"10.5623/cig2015-305","title":"Exploring the decision tree method FOR MODELLING URBAN LAND USE CHANGE","year":2015,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geospatial analysis; Land use; Decision tree; Land use, land-use change and forestry; Change detection; Process (computing); Cohen's kappa; Computer science; Land cover; Geography; Data mining; Machine learning; Remote sensing; Artificial intelligence","authors":[{"name":"Mileva Samardžić‐Petrović","is_ca":true},{"name":"Suzana Dragićević","is_ca":true},{"name":"Branislav Bajat","is_ca":false},{"name":"Miloš Kovačević","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2600511667339954,"gpt":0.2876552891315791,"spread":0.02760412239758364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025653,0.0004048763,0.0007534845,0.0007635495,0.0003854069,0.0008595441,0.000850774,0.0008180065,0.002393246],"category_scores_gemma":[0.005693722,0.0003705623,0.0007356601,0.001255493,0.0004097456,0.00111851,0.0006493305,0.0009291458,0.0002002913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007208415,"about_ca_system_score_gemma":0.00111727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02065663,"about_ca_topic_score_gemma":0.01439666,"domain_scores_codex":[0.9993284,0.0004946357,0.00002309509,0.00004734324,0.00006749204,0.00003899105],"domain_scores_gemma":[0.994592,0.004954252,0.0001091835,0.00006489918,0.0001953928,0.00008420167],"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":[0.00003122295,0.0000316584,0.0009683601,0.00003462581,0.00003720086,0.00002241379,0.00004132911,0.9712218,0.0001046062,0.01200636,0.0002381179,0.01526224],"study_design_scores_gemma":[0.000003883718,0.000005823561,0.00005571189,0.00000306677,0.000003510196,0.000002655096,0.000004991198,0.9942998,0.00002218172,0.00545141,0.0001452106,0.000001783142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08497636,0.0004856813,0.9113761,0.0003764411,0.00004545956,0.00004277876,0.0002498431,0.000147005,0.002300275],"genre_scores_gemma":[0.7347162,0.0004548053,0.2625661,0.00008343816,0.00004076811,0.0001214961,0.0002733611,0.00006674563,0.001677067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02065663,"threshold_uncertainty_score":0.04107285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402629527","doi":"10.1016/j.geomat.2024.100026","title":"Investigating the potential of blockchain technology for geospatial data sharing: Opportunities, challenges, and solutions","year":2024,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Blockchain; Geospatial analysis; Data sharing; Data science; Computer science; Computer security; Geography; Cartography; Medicine","authors":[{"name":"Tarik Chafiq","is_ca":false},{"name":"Rida Azmi","is_ca":false},{"name":"Abdelhamid Fadil","is_ca":false},{"name":"Mohammed Ouadoud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1048076310344174,"gpt":0.282276440937279,"spread":0.1774688099028616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003399962,0.0003105948,0.0002784931,0.001034099,0.001574791,0.00486723,0.000806616,0.002208243,0.003677003],"category_scores_gemma":[0.004414788,0.0002246212,0.0004556624,0.002535096,0.001752838,0.009801816,0.001986619,0.001617891,0.0006798967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021678,"about_ca_system_score_gemma":0.004494538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137518,"about_ca_topic_score_gemma":0.003477525,"domain_scores_codex":[0.9978215,0.001069649,0.00005362843,0.0001665649,0.0005694136,0.000319262],"domain_scores_gemma":[0.9957644,0.002858647,0.0002267963,0.0002988197,0.0006346641,0.0002165581],"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":[0.00006405131,0.00008527499,0.003094125,0.0008678237,0.00003246179,0.0004879894,0.001356275,0.01280783,0.002750978,0.8624631,0.005586282,0.110404],"study_design_scores_gemma":[0.00002936862,0.0001719731,0.001412507,0.001225621,0.00004931949,0.0005371057,0.005123769,0.06084378,0.007044322,0.6888151,0.2346774,0.00006978244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2453443,0.1054728,0.3006362,0.08403856,0.0009943856,0.0004884796,0.0003028899,0.0003248116,0.2623977],"genre_scores_gemma":[0.8803178,0.06966975,0.03691617,0.001497569,0.0002655365,0.0001680623,0.0001911105,0.00004198921,0.01093198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9991934,"threshold_uncertainty_score":0.01798099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401465751","doi":"10.1016/j.geomat.2024.100013","title":"Morphometric analysis in the sub basins of the Kali River using Geographic Information System, Karnataka, India","year":2024,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Drainage density; Hydrology (agriculture); Drainage basin; Structural basin; Erosion; Watershed; Drainage; Flood myth; Geology; Floodplain; Environmental science; Geomorphology; Geography; Cartography; Geotechnical engineering; Ecology","authors":[{"name":"Ananda Krishnan","is_ca":false},{"name":"A. W. S.","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006328138793819242,"gpt":0.1911871717794063,"spread":0.1848590329855871,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002095226,0.0002295511,0.0001446538,0.003797891,0.0005760021,0.0008126867,0.0003588613,0.000113098,0.001252457],"category_scores_gemma":[0.0005439384,0.0001924281,0.0003002594,0.004171815,0.0006255714,0.0003956325,0.0008458646,0.0002030958,0.0002131802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070244,"about_ca_system_score_gemma":0.001540352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08814489,"about_ca_topic_score_gemma":0.2079496,"domain_scores_codex":[0.9997794,0.00002942927,0.00002677341,0.00005413011,0.00006773301,0.00004254661],"domain_scores_gemma":[0.9997668,0.00004293738,0.00007593415,0.00002328559,0.00006861897,0.00002240761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008308573,0.00007525171,0.8356516,0.0002237522,0.00007966012,0.001071341,0.007484097,0.005978195,0.01258734,0.002479618,0.00322372,0.1310623],"study_design_scores_gemma":[0.000001513819,0.00001964731,0.9918206,0.00001804108,0.00001341212,0.0003391273,0.002837117,0.0021577,0.000364764,0.0001605747,0.002246495,0.00002115081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916128,0.0001541476,0.001843342,0.0001011275,0.000006779758,0.00009140217,0.001926383,0.0001082506,0.004155934],"genre_scores_gemma":[0.9914044,0.0001739141,0.004455095,0.00002297517,0.000003979888,0.00009901589,0.002250481,0.00001818199,0.001571864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08814489,"threshold_uncertainty_score":0.1752637,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992426331","doi":"10.5623/cig2013-052","title":"Pedestrian Navigation Services: Challenges and Current Trends","year":2013,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Popularity; Pedestrian; Computer science; Transport engineering; Human–computer interaction; Simulation; Engineering","authors":[{"name":"Hassan A. Karimi","is_ca":false},{"name":"Ming Jiang","is_ca":false},{"name":"Rui Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01168479172666241,"gpt":0.2124120167425415,"spread":0.2007272250158791,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005315242,0.0009141698,0.001098058,0.002053056,0.000795728,0.005714639,0.002897943,0.00351963,0.01498307],"category_scores_gemma":[0.004645853,0.0003945814,0.0005370688,0.004252327,0.001427507,0.008582807,0.002181052,0.002684654,0.004511786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897934,"about_ca_system_score_gemma":0.003684424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007111476,"about_ca_topic_score_gemma":0.01276898,"domain_scores_codex":[0.9981551,0.0004643199,0.0001321483,0.0003296046,0.0005879664,0.0003308669],"domain_scores_gemma":[0.9921023,0.003003612,0.0004788905,0.0001699894,0.003429454,0.0008158028],"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":[0.0002758476,0.0002154314,0.007951549,0.002470501,0.0000466579,0.0001244569,0.0003888016,0.002672597,0.001407622,0.03321509,0.07679766,0.8744338],"study_design_scores_gemma":[0.00006571376,0.0005221464,0.007648965,0.002934081,0.0001577933,0.001113957,0.008305804,0.02460899,0.001756402,0.03291946,0.9198555,0.0001111819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03368277,0.6872978,0.06166928,0.1418671,0.004023135,0.0001466952,0.001408909,0.001082339,0.06882217],"genre_scores_gemma":[0.2979008,0.5966722,0.05156463,0.01386144,0.006853888,0.0001885994,0.002947473,0.0002162949,0.02979461],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01498307,"threshold_uncertainty_score":0.05012339,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W8678021","doi":"","title":"A new canadian geoid model in support of levelling by GPS","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geoid; Geomatics; Levelling; Global Positioning System; Geodesy; Geography; Remote sensing; Geology; Cartography; Computer science; Geophysics; Telecommunications","authors":[{"name":"G. Fotopoulos","is_ca":false},{"name":"C. Kotsakis","is_ca":false},{"name":"Michael G. Sideris","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01621717629082492,"gpt":0.1889842903479635,"spread":0.1727671140571386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001862634,0.0005959873,0.0004052621,0.001129891,0.001826103,0.002434563,0.001927416,0.000834547,0.02050802],"category_scores_gemma":[0.001315872,0.0003596609,0.0006198189,0.002062577,0.0008501918,0.0009231314,0.001357981,0.0007367764,0.003707915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004599562,"about_ca_system_score_gemma":0.009341988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8572646,"about_ca_topic_score_gemma":0.8666204,"domain_scores_codex":[0.9997197,0.00003631146,0.00001139263,0.00005391323,0.000126139,0.00005249896],"domain_scores_gemma":[0.9996265,0.00003282715,0.00001717337,0.00004376784,0.0002414953,0.00003820339],"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":[0.0001433027,0.00004766823,0.009224012,0.0001217376,0.00004027777,0.0004785314,0.0005444068,0.7552875,0.003459237,0.1470404,0.02795645,0.05565643],"study_design_scores_gemma":[0.00004467291,0.00002502157,0.002825463,0.00003788471,0.00003573025,0.0001275237,0.000439825,0.8546022,0.0007999763,0.01240717,0.1285645,0.00008991978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07429121,0.000456295,0.520961,0.002954479,0.001120853,0.0003886403,0.01786942,0.005534877,0.3764232],"genre_scores_gemma":[0.6635311,0.0009558806,0.2418201,0.0003306776,0.00009002762,0.0003166545,0.008049375,0.001006795,0.08389945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1427354,"threshold_uncertainty_score":0.2871519,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885404276","doi":"10.1139/geomat-2018-0008","title":"The rHEALPix Discrete Global Grid System: considerations for Canada","year":2018,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true},"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geospatial analysis; Grid; Computer science; Key (lock); Geographic information system; Grid cell; Geospatial PDF; Data science; Database; Geography; Remote sensing; Computer security","authors":[{"name":"David Bowater","is_ca":true},{"name":"Emmanuel Stefanakis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01282472640708965,"gpt":0.2411471220187541,"spread":0.2283223956116645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147308,0.0003312916,0.0004970992,0.0007589434,0.003442132,0.004618439,0.003124756,0.001264078,0.01729022],"category_scores_gemma":[0.00581695,0.0002212043,0.0003957012,0.001810395,0.001384116,0.002339203,0.001502066,0.001499529,0.001498979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.026294,"about_ca_system_score_gemma":0.06990054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9706975,"about_ca_topic_score_gemma":0.9808292,"domain_scores_codex":[0.9986666,0.0001541246,0.00003046661,0.00008946202,0.0006702712,0.0003889876],"domain_scores_gemma":[0.9968273,0.0002890886,0.00004378585,0.0001494655,0.002118399,0.0005720032],"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":[0.0006313311,0.00008337732,0.01095909,0.000289673,0.00003922097,0.0004626288,0.000761466,0.05088409,0.001623898,0.666036,0.1675638,0.1006655],"study_design_scores_gemma":[0.0003945178,0.0002334077,0.01458936,0.0005023369,0.0001189561,0.0003599807,0.005400789,0.1017072,0.002681393,0.08510453,0.7886971,0.0002103545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1162701,0.003794414,0.03104202,0.1254761,0.001165147,0.000407967,0.0070734,0.001885083,0.7128857],"genre_scores_gemma":[0.8303654,0.0040273,0.05019366,0.003992917,0.000158557,0.0002019533,0.002967583,0.0006049179,0.1074877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02930248,"threshold_uncertainty_score":0.1907772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2322046715","doi":"10.5623/cig2012-055","title":"Impact of the Quality of Spatial 3D City Models on Sensor Networks Placement Optimization","year":2012,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Software deployment; Terrain; Computer science; Wireless sensor network; Data mining; Spatial analysis; Optimization problem; Real-time computing; Algorithm; Geography; Remote sensing; Cartography; Computer network","authors":[{"name":"Meysam Argany","is_ca":true},{"name":"Mir Abolfazl Mostafavi","is_ca":true},{"name":"Vahab Akbarzadeh","is_ca":true},{"name":"Christian Gagné","is_ca":true},{"name":"Reda Yaagoubi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05912805582302097,"gpt":0.3460437009991641,"spread":0.2869156451761432,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005198267,0.001418024,0.001333542,0.0008940886,0.0006345973,0.002369886,0.001395125,0.002061068,0.001856583],"category_scores_gemma":[0.04315361,0.001163958,0.0008033763,0.001429056,0.001317908,0.003154416,0.002173178,0.001336816,0.0002658326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781854,"about_ca_system_score_gemma":0.001941903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516026,"about_ca_topic_score_gemma":0.01083311,"domain_scores_codex":[0.9972935,0.001609452,0.0001293569,0.0002569433,0.0004502282,0.000260546],"domain_scores_gemma":[0.9676091,0.02636181,0.002105515,0.001714083,0.001701569,0.0005077558],"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":[0.0000563192,0.0000103346,0.0006710323,0.00001554877,0.00001513334,0.000008901538,0.000007080066,0.9966387,0.0001076227,0.0009215733,0.000101949,0.001445742],"study_design_scores_gemma":[0.00001223269,0.00003627616,0.0003067544,0.00000628647,0.00001202494,0.0000116184,0.00001458526,0.9977815,0.0002415608,0.00149016,0.00008255284,0.000004513588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4820622,0.002928187,0.4995352,0.004327647,0.0003570938,0.0001041369,0.001275949,0.0005905915,0.00881899],"genre_scores_gemma":[0.9848955,0.0004178823,0.01380364,0.00008333283,0.00004058844,0.00001899747,0.0001751837,0.00007899498,0.0004858747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01516026,"threshold_uncertainty_score":0.03014404,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2276168327","doi":"10.5623/cig2012-006","title":"Towards a Framework for Designing Spatial and Non-Spatial Visualizations for Communicating Climate Change Risks","year":2012,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"Mount Allison University","funders":"Mount Allison University","keywords":"Flooding (psychology); Risk perception; Vulnerability (computing); Climate change; Perception; Limiting; Computer science; Coastal flood; Risk analysis (engineering); Environmental resource management; Psychology; Computer security; Sea level rise; Business; Engineering; Environmental science","authors":[{"name":"David J. Lieske","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5719927761233653,"gpt":0.5168958418885945,"spread":0.0550969342347708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007883987,0.001843598,0.001183138,0.00345716,0.002187516,0.01204165,0.003279646,0.002839742,0.008587701],"category_scores_gemma":[0.02146146,0.00152397,0.002435859,0.00215123,0.004152038,0.007916327,0.004455728,0.003108038,0.001589275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002205224,"about_ca_system_score_gemma":0.003398509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018129,"about_ca_topic_score_gemma":0.02130576,"domain_scores_codex":[0.9962465,0.001882833,0.0004364675,0.0005200767,0.0007054433,0.0002086861],"domain_scores_gemma":[0.9900596,0.005059853,0.0005831202,0.001295509,0.002346452,0.0006553427],"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":[0.0001500771,0.0002108411,0.002890187,0.001108592,0.0001738929,0.0005457436,0.01280289,0.0553165,0.01623559,0.7673331,0.01178616,0.1314464],"study_design_scores_gemma":[0.00009658266,0.0001169353,0.001109637,0.0007262899,0.0001877931,0.0003316768,0.005414196,0.4339224,0.01108752,0.443157,0.1036745,0.0001754614],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001961808,0.00009922298,0.9933255,0.0007126298,0.00002799185,0.0001515993,0.000171152,0.00146712,0.002083062],"genre_scores_gemma":[0.04041888,0.00011725,0.9579285,0.00006171504,0.00001364831,0.0002655515,0.0002320725,0.0001932313,0.0007691366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.018129,"threshold_uncertainty_score":0.041695,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2210088548","doi":"10.5623/cig2013-004","title":"The Case Study Method in Examining Land Registration Usage","year":2013,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Land registration; Land administration; Grassroots; Context (archaeology); Land titling; Agency (philosophy); Business; Land tenure; Politics; Political science; Law; Geography; Sociology","authors":[{"name":"Michael Barry","is_ca":true},{"name":"Lani Roux","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03454711225086791,"gpt":0.2596585957804048,"spread":0.2251114835295369,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01099267,0.0005353726,0.0006203912,0.008914038,0.002912356,0.00230708,0.001603597,0.001737785,0.01798547],"category_scores_gemma":[0.0185975,0.0004441771,0.0007826254,0.01004752,0.002241118,0.003247414,0.002558763,0.001287978,0.001164779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001756102,"about_ca_system_score_gemma":0.002271479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006585163,"about_ca_topic_score_gemma":0.01601666,"domain_scores_codex":[0.9829006,0.01439772,0.0005386653,0.0007364333,0.0009935873,0.0004330376],"domain_scores_gemma":[0.9688492,0.02696962,0.001568439,0.001172037,0.001034628,0.000406132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001048434,0.002648007,0.2220714,0.003680801,0.0005654282,0.005733088,0.07187765,0.003599564,0.007263407,0.3818813,0.01995225,0.2796786],"study_design_scores_gemma":[0.0007649364,0.004212034,0.1650798,0.004215678,0.0009142217,0.01710412,0.4348584,0.03484013,0.01244983,0.09494449,0.2302221,0.0003943679],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5882658,0.004575953,0.2062984,0.003265137,0.0004895391,0.007236954,0.003343485,0.0001160997,0.1864087],"genre_scores_gemma":[0.8344547,0.002059304,0.1368635,0.0008134777,0.00008953542,0.009579151,0.0008244555,0.00005752519,0.01525856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01798547,"threshold_uncertainty_score":0.06016737,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2484116175","doi":"","title":"EXTRACTION OF ROAD NETWORKS USING PAN-SHARPENED MULTISPECTRAL AND PANCHROMATIC QUICKBIRD IMAGES","year":2005,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University of New Brunswick; Université du Québec à Montréal; York University","funders":"","keywords":"Panchromatic film; Cartography; Humanities; Geography; Multispectral image; Forestry; Remote sensing; Art","authors":[{"name":"Ruisheng Wang","is_ca":true},{"name":"Yong Hu","is_ca":true},{"name":"Xinmei Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01259309500213291,"gpt":0.2441195354685923,"spread":0.2315264404664594,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002201,0.001550866,0.0005347242,0.003507008,0.0003851505,0.001207233,0.0005125726,0.0006296503,0.00245957],"category_scores_gemma":[0.0006934759,0.0005136998,0.001100648,0.00170653,0.0002435612,0.001307854,0.0004450746,0.0005071116,0.001935537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611913,"about_ca_system_score_gemma":0.0007413094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008588838,"about_ca_topic_score_gemma":0.0133338,"domain_scores_codex":[0.9997295,0.00001922211,0.00001506659,0.0000839312,0.0001054322,0.00004689517],"domain_scores_gemma":[0.9997751,0.00004572347,0.00003592198,0.00003054159,0.0001020944,0.00001065136],"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":[0.0001239934,0.00007587035,0.008673583,0.0006303011,0.0001487711,0.0004912893,0.0002850571,0.05716968,0.1218183,0.00304113,0.002174496,0.8053676],"study_design_scores_gemma":[0.00004291646,0.0002606539,0.09071783,0.0002215008,0.0004332405,0.001976492,0.001246024,0.5867082,0.2483518,0.007123689,0.06271842,0.0001992023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1134573,0.00114056,0.8721678,0.0001160209,0.00008082371,0.0002455249,0.001262577,0.003025771,0.00850345],"genre_scores_gemma":[0.3814802,0.002538414,0.5914194,0.00006440227,0.00005851598,0.0002431399,0.003709343,0.0003901819,0.02009639],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008588838,"threshold_uncertainty_score":0.01707774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}