{"meta":{"query_hash":"ede0f44e50e3","filters":{"venue":"Journal of Spatial Information Science"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/ede0f44e50e3","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Spatial+Information+Science"},"results":[{"id":"W2306629633","doi":"10.5311/josis.0.0.75","title":"Visualizing perceived spatial data quality of 3D objects within virtual globes","year":2009,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Memorial University of Newfoundland","funders":"","keywords":"Visualization; Computer science; Metadata; Quality (philosophy); The Internet; World Wide Web; Data visualization; Information retrieval; Data science; Data mining","score_opus":0.07413617483992825,"score_gpt":0.39510422791812344,"score_spread":0.3209680530781952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306629633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587134,0.0001326787,0.03733679,0.00016116572,0.000017226885,0.00007193486,0.00037715843,0.00085403555,0.0023355503],"genre_scores_gemma":[0.94784594,0.00009720219,0.0514588,0.000014284274,0.000006595461,0.000027888016,0.00021206707,0.000041941916,0.00029521663],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990736,0.00049593585,0.00005673206,0.00009573075,0.00023950967,0.0000384434],"domain_scores_gemma":[0.99525815,0.0026543604,0.00059712573,0.00039440134,0.0008395652,0.00025639255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001962713,0.00039430094,0.0003151198,0.0023852068,0.0003212622,0.0015901899,0.00032134278,0.0004695296,0.0019382032],"category_scores_gemma":[0.009747397,0.00018695522,0.00033334104,0.0011129571,0.00031740862,0.0016005567,0.00086910866,0.00028150243,0.000238261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021520194,0.0004264037,0.3268939,0.0016706039,0.0005088952,0.00087702967,0.05927029,0.01789736,0.0981497,0.005899458,0.0066392776,0.4796151],"study_design_scores_gemma":[0.0002813647,0.0025878309,0.6584787,0.0006158254,0.0007571102,0.0014093978,0.05354573,0.19571747,0.055312913,0.0070931963,0.023642167,0.00055836805],"about_ca_topic_score_codex":0.0025197493,"about_ca_topic_score_gemma":0.0034722248,"teacher_disagreement_score":0.0025197493,"about_ca_system_score_codex":0.00029072742,"about_ca_system_score_gemma":0.00027814865,"threshold_uncertainty_score":0.0103799105},"labels":[],"label_agreement":null},{"id":"W3113739508","doi":"10.5311/josis.2020.21.721","title":"Integrated science of movement","year":2020,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Leverhulme Trust","keywords":"Movement (music); Bridge (graph theory); Data science; Focus (optics); Process (computing); Computer science","score_opus":0.031204252940049575,"score_gpt":0.3035085948410572,"score_spread":0.2723043419010076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113739508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03949935,0.024917686,0.5492549,0.07046529,0.0024279412,0.0002820065,0.0021746766,0.00051749795,0.31046066],"genre_scores_gemma":[0.8091757,0.03109462,0.12315962,0.006998778,0.0028319776,0.0006704199,0.0017877113,0.00024665156,0.02403451],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952188,0.0018163782,0.00021198532,0.0012357233,0.001258718,0.00025829373],"domain_scores_gemma":[0.99185693,0.0036612288,0.0007673957,0.0021070815,0.001128244,0.0004791517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004953177,0.00056642527,0.0014009072,0.0045831352,0.0015310746,0.008536784,0.002063043,0.0021607382,0.01117351],"category_scores_gemma":[0.0143854795,0.00041858613,0.0011460198,0.0039203106,0.012387395,0.01276986,0.0074693803,0.0037101987,0.0011616655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015665826,0.000030645417,0.002079145,0.00018961087,0.000057738227,0.000044777003,0.0007277253,0.0024985587,0.00020157963,0.9542568,0.0030855981,0.03681222],"study_design_scores_gemma":[0.000006189913,0.000029688557,0.0028428452,0.000112430054,0.000019937655,0.00009076981,0.00074352627,0.004344247,0.00009825505,0.948846,0.042849783,0.00001642063],"about_ca_topic_score_codex":0.0068905912,"about_ca_topic_score_gemma":0.0033498104,"teacher_disagreement_score":0.01117351,"about_ca_system_score_codex":0.004343646,"about_ca_system_score_gemma":0.0052165636,"threshold_uncertainty_score":0.037379146},"labels":[],"label_agreement":null},{"id":"W3177093977","doi":"10.5311/josis.2021.22.681","title":"Surface network extraction from high resolution digital terrain models","year":2021,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Triangulated irregular network; Computation; Raster graphics; Triangulation; Digital elevation model; Grid; Surface (topology); Computer science; Regular grid; Consistency (knowledge bases); Algorithm; Ridge; Raised-relief map; Topology (electrical circuits); Geology; Artificial intelligence; Remote sensing; Geometry; Geography; Geodesy; Mathematics; Cartography","score_opus":0.013881598999498217,"score_gpt":0.24379144779215273,"score_spread":0.2299098487926545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177093977","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106353536,0.00032158807,0.88006645,0.00019194388,0.000036284495,0.0002265226,0.004637964,0.003733831,0.004431882],"genre_scores_gemma":[0.5715416,0.0007137912,0.41199696,0.00003568265,0.00003230278,0.00023008029,0.012333122,0.00031472038,0.002801713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997162,0.00003078548,0.000017090291,0.000060534385,0.00013674628,0.000038646467],"domain_scores_gemma":[0.99965954,0.0001102719,0.000045983208,0.00006792734,0.00009503223,0.000021301561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001938792,0.00087085774,0.0005842594,0.004556252,0.0003486378,0.0012847149,0.0005876382,0.00063934375,0.0022119556],"category_scores_gemma":[0.0014558253,0.00043913093,0.00069891877,0.004053539,0.000300883,0.0012100224,0.0010490803,0.0004995691,0.0009157067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017448148,0.00011624048,0.011874521,0.00047219484,0.000118963784,0.0012244111,0.000378819,0.47021383,0.03276606,0.012677393,0.008733722,0.46124935],"study_design_scores_gemma":[0.0000104002,0.000021276117,0.0035257067,0.000025099465,0.000026987773,0.00018366864,0.00015647871,0.97651255,0.004865412,0.0077059465,0.006948129,0.000018361987],"about_ca_topic_score_codex":0.0063522346,"about_ca_topic_score_gemma":0.009535321,"teacher_disagreement_score":0.0063522346,"about_ca_system_score_codex":0.00055916543,"about_ca_system_score_gemma":0.0005619796,"threshold_uncertainty_score":0.012630522},"labels":[],"label_agreement":null},{"id":"W4205095874","doi":"10.5311/josis.2021.23.155","title":"Deriving topological relations from topologically augmented direction relation matrices","year":2021,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University; National Science Foundation","keywords":"Relation (database); Topological conjugacy; Mathematics; Matrix (chemical analysis); Topology (electrical circuits); Spatial relation; Pure mathematics; Computer science; Geometry; Combinatorics; Data mining","score_opus":0.012821357578306393,"score_gpt":0.2528888854785233,"score_spread":0.2400675279002169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205095874","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050651744,0.00015055622,0.9363204,0.00027678246,0.000080545986,0.0001254268,0.0006051657,0.0009197452,0.010869619],"genre_scores_gemma":[0.32448238,0.00020238607,0.671158,0.00006719008,0.000029730376,0.00016856132,0.0014208189,0.00023278083,0.002238131],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99846846,0.00043214054,0.00011616173,0.00025523346,0.00063309184,0.00009488605],"domain_scores_gemma":[0.9967746,0.0014370446,0.00030744507,0.0009517644,0.00046970174,0.000059429025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011229407,0.0007428957,0.00051011035,0.0020486289,0.00069847534,0.0022888659,0.0010439795,0.0004311376,0.0063956524],"category_scores_gemma":[0.007880449,0.0003886394,0.0009159348,0.0018286088,0.0013306253,0.004425568,0.0024940965,0.0012863501,0.001148906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016036011,0.00013414725,0.0018118777,0.0003922801,0.000057792164,0.0003079491,0.0005473628,0.053834494,0.027053393,0.6044612,0.0041205394,0.3071185],"study_design_scores_gemma":[0.00004237523,0.00010115824,0.0010906653,0.00009246215,0.000058132246,0.00039822218,0.0006558133,0.43241864,0.027070267,0.49848214,0.039523058,0.0000671362],"about_ca_topic_score_codex":0.0018923277,"about_ca_topic_score_gemma":0.0050945976,"teacher_disagreement_score":0.0063956524,"about_ca_system_score_codex":0.0006002471,"about_ca_system_score_gemma":0.0015445967,"threshold_uncertainty_score":0.021395564},"labels":[],"label_agreement":null},{"id":"W4206007840","doi":"10.5311/josis.2021.23.170","title":"Identifying regional variation in place visit behavior during a global pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; Brown University","keywords":"Pandemic; Duration (music); Geography; Psychological resilience; Variation (astronomy); Government (linguistics); Demography; Demographic economics; Coronavirus disease 2019 (COVID-19); Socioeconomics; Economic geography; Psychology; Sociology; Social psychology; Medicine; Economics; Disease","score_opus":0.053831943193666035,"score_gpt":0.3561156446331671,"score_spread":0.30228370143950106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206007840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934596,0.00002797219,0.0001056968,0.000022632077,0.0000015819782,0.0000031586876,0.00016794985,0.000002515781,0.00032264568],"genre_scores_gemma":[0.9995726,0.000025653862,0.000122058926,0.00000684741,0.0000016872553,0.000004812786,0.0001890884,0.000002287845,0.00007505409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943846,0.00025818896,0.000034974673,0.00010807329,0.0000635106,0.00009669655],"domain_scores_gemma":[0.9982304,0.0004157512,0.00065228686,0.000238034,0.00028651056,0.00017706028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007451057,0.00013780344,0.0002065406,0.00091405085,0.00040003634,0.0005955935,0.00033557336,0.00029523228,0.0008067975],"category_scores_gemma":[0.0031195562,0.00013071756,0.0003290068,0.001148389,0.0003629359,0.00047914032,0.00089230866,0.0003064931,0.00017093227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007434534,0.000026802838,0.99350727,0.000011178692,0.000048876555,0.000037898983,0.0013812546,0.00030959005,0.00045677446,0.00007405358,0.00022462898,0.0038472358],"study_design_scores_gemma":[0.0000010146176,0.000035351866,0.9969957,0.0000056820336,0.000010074378,0.000033547713,0.0022316226,0.0003949115,0.00008720715,0.000023084509,0.00017784913,0.000003932457],"about_ca_topic_score_codex":0.025732111,"about_ca_topic_score_gemma":0.055884883,"teacher_disagreement_score":0.025732111,"about_ca_system_score_codex":0.00044433316,"about_ca_system_score_gemma":0.00033784346,"threshold_uncertainty_score":0.051164627},"labels":[],"label_agreement":null},{"id":"W4288754847","doi":"10.5311/josis.2022.24.199","title":"Temporally relevant parallel top-k spatial keyword search","year":2022,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Computer science; Exploit; Search engine indexing; Information retrieval; Ranking (information retrieval); Data mining; Relevance (law); Visitor pattern","score_opus":0.019932350311511565,"score_gpt":0.26737424443389285,"score_spread":0.2474418941223813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288754847","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23743632,0.0059474073,0.6878909,0.00083922537,0.00040253266,0.0005903139,0.009933487,0.042583566,0.014376293],"genre_scores_gemma":[0.5458932,0.001740362,0.43356803,0.00018240584,0.00018776274,0.00024213939,0.010378234,0.0007291184,0.00707878],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894947,0.00008872501,0.00014470397,0.00027557553,0.00044992196,0.00009168273],"domain_scores_gemma":[0.9981554,0.0003825497,0.000182506,0.0005974613,0.00054654066,0.00013555105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075173,0.0007878446,0.0012547707,0.0021477728,0.0010210878,0.0022560626,0.0016633217,0.00057418906,0.002438204],"category_scores_gemma":[0.0038132877,0.00048673933,0.0005962569,0.004924896,0.00035596287,0.003670468,0.001473287,0.0005830089,0.0019391258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018913175,0.00056010555,0.010709618,0.001329678,0.00032610542,0.0007560535,0.0009963473,0.06234986,0.13095555,0.010197674,0.04080707,0.7391206],"study_design_scores_gemma":[0.00030135078,0.00040626488,0.0067262445,0.000054922726,0.00024052557,0.0014237784,0.0008255058,0.8436015,0.083198555,0.020298092,0.0427936,0.00012962517],"about_ca_topic_score_codex":0.010734869,"about_ca_topic_score_gemma":0.018084604,"teacher_disagreement_score":0.010734869,"about_ca_system_score_codex":0.00081419083,"about_ca_system_score_gemma":0.0020961042,"threshold_uncertainty_score":0.021344721},"labels":[],"label_agreement":null},{"id":"W4378473062","doi":"10.5311/josis.2023.26.240","title":"Surface network and drainage network: towards a common data structure","year":2023,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Drainage; Drainage network; Triangulated irregular network; Digital elevation model; Geology; Computer science; Remote sensing; Geography; Cartography","score_opus":0.02366392206877442,"score_gpt":0.27352856708439016,"score_spread":0.24986464501561573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378473062","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013973861,0.00012871763,0.9805996,0.00031455013,0.00002272257,0.00008426556,0.0014567034,0.0010985915,0.00232099],"genre_scores_gemma":[0.18331894,0.0004260646,0.80705804,0.00013014965,0.000052383206,0.00032365485,0.0069589266,0.00035950812,0.0013724178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978884,0.0005646917,0.00025135736,0.00054319086,0.00065360306,0.000098863355],"domain_scores_gemma":[0.9964515,0.00078133034,0.0003462883,0.0013790801,0.0008427945,0.00019903925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019731526,0.00057461555,0.00089277426,0.0041073384,0.0006588958,0.0043269084,0.0014302753,0.00095103163,0.001841509],"category_scores_gemma":[0.0076473462,0.00043907986,0.00094734004,0.006290763,0.0018104695,0.0070556863,0.004079023,0.0013941355,0.000659934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022949892,0.0001356379,0.015525062,0.00047784945,0.00012563444,0.0005059723,0.0018883208,0.15917093,0.0062062414,0.5461204,0.009546392,0.2600681],"study_design_scores_gemma":[0.000039701055,0.0001072129,0.0055556353,0.000189969,0.000065072825,0.00041546774,0.0006239206,0.63218534,0.004897574,0.2332331,0.122621894,0.00006509976],"about_ca_topic_score_codex":0.00536409,"about_ca_topic_score_gemma":0.0048028487,"teacher_disagreement_score":0.00536409,"about_ca_system_score_codex":0.0011318286,"about_ca_system_score_gemma":0.0015566598,"threshold_uncertainty_score":0.010665715},"labels":[],"label_agreement":null},{"id":"W4390044434","doi":"10.5311/josis.2023.27.220","title":"Distributed spatial data sharing: a new model for data ownership and access control","year":2023,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Global Water Futures","keywords":"Geospatial analysis; Computer science; Data sharing; Spatial data infrastructure; The Internet; Data science; Data discovery; World Wide Web; Spatial analysis; Metadata; Geography","score_opus":0.20956805442412918,"score_gpt":0.3778157943723835,"score_spread":0.16824773994825432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390044434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008518969,0.000970709,0.9568051,0.0076043555,0.00029064182,0.00025781113,0.00024630016,0.0005219125,0.024784265],"genre_scores_gemma":[0.5355755,0.0032083618,0.41040015,0.0020756584,0.0014909735,0.0017776953,0.00081702543,0.00048729085,0.044167325],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9804652,0.0064391284,0.0016599763,0.0042365887,0.005992194,0.0012070028],"domain_scores_gemma":[0.9732992,0.0084706,0.0017600342,0.011687242,0.003296961,0.0014859017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016546067,0.0010420216,0.0018261645,0.0031625796,0.0046573286,0.019209098,0.006347884,0.0046908413,0.006903962],"category_scores_gemma":[0.022557639,0.0012302211,0.0024900152,0.005016195,0.015620549,0.033710465,0.01271554,0.0061407425,0.0018301969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028054164,0.00002786522,0.0004018384,0.00005757373,0.000022393153,0.00012311313,0.0011754542,0.0055445926,0.00040105145,0.9793941,0.0017311787,0.01109276],"study_design_scores_gemma":[0.000057835954,0.00006148144,0.00019863115,0.00009539975,0.00004252242,0.00030901973,0.0004959189,0.053885512,0.00086415175,0.86966586,0.07425864,0.000064972715],"about_ca_topic_score_codex":0.009744944,"about_ca_topic_score_gemma":0.004615135,"teacher_disagreement_score":0.019209098,"about_ca_system_score_codex":0.0061969683,"about_ca_system_score_gemma":0.006523568,"threshold_uncertainty_score":0.08750504},"labels":[],"label_agreement":null},{"id":"W4390046132","doi":"10.5311/josis.2023.27.307","title":"Reimagining GIScience education for enhanced employability","year":2023,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Employability; Geography; Data science; Computer science; Sociology; Pedagogy","score_opus":0.043563901124714394,"score_gpt":0.42374678403213056,"score_spread":0.3801828829074162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390046132","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028166168,0.0038787841,0.0014265672,0.9293725,0.05741891,0.00001909706,0.000016977747,0.00008806827,0.004962479],"genre_scores_gemma":[0.10457723,0.00942851,0.0084713595,0.6672484,0.11047563,0.00012726722,0.00005676759,0.00024289782,0.09937183],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973604,0.0008698736,0.00017546,0.00026484954,0.00084599305,0.0004834369],"domain_scores_gemma":[0.98829365,0.002805559,0.0004946404,0.0003920043,0.0033935644,0.004620724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004333798,0.0004860652,0.00036403837,0.00048189727,0.0019109799,0.00497409,0.0009665558,0.010139161,0.009953263],"category_scores_gemma":[0.022145452,0.00019507801,0.0006217693,0.00024227671,0.0025455263,0.0041065835,0.00412696,0.016094454,0.0030480074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013628048,0.00032764554,0.0017851611,0.00041687506,0.00003136493,0.0013093664,0.0019928876,0.00023146544,0.0020689832,0.02034964,0.82361174,0.14773865],"study_design_scores_gemma":[0.000056054432,0.00021537037,0.0010680428,0.00028009582,0.000019954123,0.0011391332,0.002051992,0.0003155774,0.001397376,0.0132724,0.98014796,0.00003606921],"about_ca_topic_score_codex":0.0018904778,"about_ca_topic_score_gemma":0.0069788084,"teacher_disagreement_score":0.010139161,"about_ca_system_score_codex":0.0025447637,"about_ca_system_score_gemma":0.0054133018,"threshold_uncertainty_score":0.033297002},"labels":[],"label_agreement":null},{"id":"W4411012466","doi":"10.5311/josis.2025.30.389","title":"Opportunities and challenges of integrating geographic information science and large language models","year":2025,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; Tongji University; Alan Turing Institute","keywords":"Data science; Geographic information system; Computer science; Geography; Cartography","score_opus":0.04371017340372786,"score_gpt":0.3073972075832171,"score_spread":0.26368703417948924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411012466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028746096,0.0151028065,0.6753948,0.23963167,0.0006892475,0.00017289179,0.00033675486,0.0011094967,0.038816217],"genre_scores_gemma":[0.47773993,0.012251116,0.4943816,0.008786822,0.0020398588,0.00049543945,0.00048039336,0.00048451356,0.0033402913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9453341,0.04267799,0.0016267627,0.0023448896,0.006988477,0.0010278422],"domain_scores_gemma":[0.8273123,0.14159738,0.0034979994,0.018969145,0.006072368,0.0025508963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06792984,0.001215035,0.0016924168,0.0051761954,0.0026159263,0.016569657,0.004275668,0.005097905,0.0035046923],"category_scores_gemma":[0.10697526,0.001696059,0.0015723895,0.0055202604,0.016848855,0.050234064,0.02177889,0.009140196,0.0010085708],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007180747,0.000106164654,0.0031969815,0.00040818268,0.00014216048,0.00026520202,0.0050214245,0.011991717,0.0006199127,0.8909696,0.004436618,0.082770176],"study_design_scores_gemma":[0.000011016647,0.0000246706,0.00029100737,0.0001943714,0.000022217977,0.00011949343,0.0022744255,0.032278318,0.00029665782,0.9430236,0.02142384,0.000040412135],"about_ca_topic_score_codex":0.0045231665,"about_ca_topic_score_gemma":0.0046322304,"teacher_disagreement_score":0.06792984,"about_ca_system_score_codex":0.0032637352,"about_ca_system_score_gemma":0.007623901,"threshold_uncertainty_score":0.35925162},"labels":[],"label_agreement":null},{"id":"W7117358854","doi":"10.5311/josis.2025.31.462","title":"Spatial data science languages: commonalities and needs","year":2025,"lang":"en","type":"article","venue":"Journal of Spatial Information Science","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Esri (Canada)","funders":"","keywords":"Software; Python (programming language); Domain (mathematical analysis); Focus (optics); Set (abstract data type); Spatial analysis; Scripting language; Geodetic datum; Software development","score_opus":0.022743537546909488,"score_gpt":0.31622203953093087,"score_spread":0.29347850198402137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117358854","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0909661,0.0846994,0.44102085,0.33799037,0.0039064563,0.0006068933,0.00089934387,0.0073814155,0.032529186],"genre_scores_gemma":[0.2511458,0.05656268,0.64308155,0.021739703,0.0058964994,0.0013361727,0.0031426589,0.008717698,0.0083771385],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.93070924,0.02744906,0.012567228,0.011497886,0.013201641,0.004575009],"domain_scores_gemma":[0.6704821,0.21949807,0.008164432,0.034313604,0.053648587,0.013893147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.13447487,0.002025526,0.0030557937,0.009053651,0.005190368,0.018312683,0.010862017,0.005672968,0.0071378737],"category_scores_gemma":[0.12826894,0.0028998717,0.003303328,0.009137135,0.011975865,0.07982193,0.029449273,0.016352404,0.00224407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070424756,0.0005949758,0.019044822,0.007812784,0.00019982137,0.0012052461,0.055286102,0.002744196,0.006213027,0.22960605,0.03455515,0.6420337],"study_design_scores_gemma":[0.00018588411,0.0005939794,0.008587239,0.010015577,0.00020604419,0.0053690057,0.073786,0.018628955,0.0034482966,0.27435097,0.6042388,0.00058921933],"about_ca_topic_score_codex":0.0034893982,"about_ca_topic_score_gemma":0.003990352,"teacher_disagreement_score":0.13447487,"about_ca_system_score_codex":0.0038227944,"about_ca_system_score_gemma":0.010979542,"threshold_uncertainty_score":0.7111796},"labels":[],"label_agreement":null}]}