{"meta":{"query_hash":"93fc0b32f61a","filters":{"venue":"Journal of Geographical Research"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/93fc0b32f61a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Geographical+Research"},"results":[{"id":"W4223975170","doi":"10.30564/jgr.v5i2.4513","title":"A Hybrid Geostatistical Method for Estimating Citywide Traffic Volumes – A Case Study of Edmonton, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Geographical Research","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Kriging; Robustness (evolution); Computer science; Transport engineering; Scale (ratio); Traffic volume; Euclidean distance; Statistics; Data mining; Geography; Engineering; Mathematics; Cartography; Artificial intelligence; Machine learning","score_opus":0.043022101999412254,"score_gpt":0.3721002657498021,"score_spread":0.32907816375038984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223975170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96269906,0.000047592708,0.036098164,0.00039060967,0.0001553465,0.0004476223,0.000090369205,0.0000035992832,0.000067614994],"genre_scores_gemma":[0.92178184,0.0000030937235,0.07801165,0.000041999734,0.000051052306,0.000044943623,0.0000018327688,0.000013821356,0.000049794795],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9957767,0.00068895536,0.00070141745,0.00024967358,0.0020723708,0.0005108785],"domain_scores_gemma":[0.9957067,0.0033180646,0.00025685414,0.00019170016,0.00021107518,0.00031562874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058300714,0.000112390866,0.0003436868,0.00024199959,0.00066521025,0.0000392856,0.0004168737,0.000021342641,0.00050118275],"category_scores_gemma":[0.002549646,0.00010186588,0.000099664765,0.000682456,0.00017601044,0.00006108678,0.00043132144,0.0008435914,4.0999015e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012522585,0.0045163934,0.05760409,0.00023416227,0.0005389578,0.032164484,0.004088473,0.19250983,0.0007081808,0.0005998179,0.07729375,0.6284896],"study_design_scores_gemma":[0.003468612,0.0076934085,0.024474114,0.00003937234,0.00013485515,0.008470612,0.021575904,0.9162852,0.000028666898,0.00564687,0.011797427,0.00038494822],"about_ca_topic_score_codex":0.41967532,"about_ca_topic_score_gemma":0.23279852,"teacher_disagreement_score":0.7237754,"about_ca_system_score_codex":0.00024456094,"about_ca_system_score_gemma":0.00032895437,"threshold_uncertainty_score":0.7812009},"labels":[],"label_agreement":null},{"id":"W4388573883","doi":"10.30564/jgr.v6i4.5973","title":"Strategic Planning for Equitable RWIS Implementation: A Comprehensive Study Incorporating a Multi-variable Semivariogram Model","year":2023,"lang":"en","type":"article","venue":"Journal of Geographical Research","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Oceanic and Atmospheric Administration; Maine Department of Transportation","keywords":"Computer science; Variable (mathematics); Implementation; Heuristic; Operations research","score_opus":0.21053920209178673,"score_gpt":0.44947511024098713,"score_spread":0.2389359081492004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388573883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951814,0.000020690124,0.0035456456,0.0001592409,0.00017190039,0.00076757837,0.00001604736,0.000032774966,0.00010473376],"genre_scores_gemma":[0.984698,0.000009373033,0.01503145,0.000019630119,0.00010842975,0.00007623739,0.00001030868,0.00002138837,0.000025169249],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968745,0.00028147435,0.00065660104,0.00028120787,0.0012069553,0.00069922407],"domain_scores_gemma":[0.9986172,0.00042781752,0.0002695416,0.00018976862,0.00028277992,0.00021293819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038298473,0.00013700078,0.00028243088,0.0005307044,0.00058712973,0.00022173201,0.00037770125,0.00008626716,0.00016463983],"category_scores_gemma":[0.00016306473,0.00011943484,0.00011977996,0.0020982388,0.00025184167,0.00038979467,0.0004264817,0.00046321814,0.000028257318],"study_design_candidate":"observational","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":[0.00050432485,0.00053088524,0.79410195,0.00006675639,0.00018018455,0.00009358806,0.0011851046,0.097335845,0.10085341,0.0011594855,0.0025895347,0.0013989012],"study_design_scores_gemma":[0.011772342,0.007358055,0.38974053,0.0002214731,0.00017891181,0.00023410199,0.070332244,0.39393404,0.0016403616,0.12261578,0.0011251413,0.00084702077],"about_ca_topic_score_codex":0.0006258089,"about_ca_topic_score_gemma":0.00013939055,"teacher_disagreement_score":0.40436146,"about_ca_system_score_codex":0.00012836276,"about_ca_system_score_gemma":0.000114814175,"threshold_uncertainty_score":0.48704112},"labels":[],"label_agreement":null}]}