{"meta":{"query_hash":"f1990dd5b905","filters":{"venue":"GIScience and geo-environmental modelling"},"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/f1990dd5b905","api":"https://metacan.xera.ac/api/v1/cohort?venue=GIScience+and+geo-environmental+modelling"},"results":[{"id":"W4323059171","doi":"10.1007/978-3-031-21587-2_24","title":"Rethinking the Urban Form and Quality of Walking Experience Using Geospatial Technology","year":2023,"lang":"en","type":"book-chapter","venue":"GIScience and geo-environmental modelling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Pedestrian; Geospatial analysis; Urban planning; Urban design; Environmental planning; Context (archaeology); Sustainability; Community design; Typology; Quality (philosophy); Place identity; Built environment; Transport engineering; Geography; Engineering; Computer science; Civil engineering; Cartography","score_opus":0.08800448212441246,"score_gpt":0.29834298991249586,"score_spread":0.21033850778808338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323059171","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":[0.4066513,0.031320546,0.1545544,0.015990902,0.0013486636,0.00008952971,0.0011485252,0.00039773644,0.3884984],"genre_scores_gemma":[0.91829455,0.013122072,0.029877646,0.00078052934,0.00018749968,0.000039533672,0.00038904563,0.00020287513,0.037106216],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997348,0.00010142586,0.000012912634,0.000046281977,0.000084691244,0.000019815418],"domain_scores_gemma":[0.99938655,0.00045988915,0.000024699442,0.00005505919,0.00005907355,0.00001473676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579552,0.00028199804,0.00024892023,0.00073926506,0.00033942782,0.0046840827,0.00059685647,0.0004900052,0.0045644604],"category_scores_gemma":[0.002035741,0.00018246072,0.00032461842,0.0016512122,0.0022691027,0.004954956,0.0012059847,0.0008599366,0.00035017577],"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":[0.000038431317,0.000039171377,0.021540264,0.00044277887,0.00005949442,0.00023635791,0.037501782,0.0038999969,0.002728593,0.4038565,0.010588549,0.5190682],"study_design_scores_gemma":[0.000007718812,0.00010863301,0.11474434,0.0006023245,0.000104988714,0.00078779995,0.044632692,0.011309378,0.0019073898,0.5322255,0.29349706,0.000072217576],"about_ca_topic_score_codex":0.010349415,"about_ca_topic_score_gemma":0.025873573,"teacher_disagreement_score":0.010349415,"about_ca_system_score_codex":0.0007150808,"about_ca_system_score_gemma":0.00053106376,"threshold_uncertainty_score":0.020578384},"labels":[],"label_agreement":null},{"id":"W4407078052","doi":"10.1007/978-3-031-76189-8_3","title":"Potential of Using Physics with Artificial Intelligence: Physics-Infused Machine Learning and Neural Networks for Spatiotemporal Analysis of Hydro-climatic Events","year":2025,"lang":"en","type":"book-chapter","venue":"GIScience and geo-environmental modelling","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Artificial neural network; Physics; Artificial intelligence; Computer science","score_opus":0.03505371149946081,"score_gpt":0.2296378849392677,"score_spread":0.19458417343980688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407078052","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":[0.0111916065,0.052670196,0.7747585,0.009358605,0.002749838,0.000047218015,0.00040017386,0.0010616255,0.14776222],"genre_scores_gemma":[0.25699764,0.060781043,0.54908967,0.0021123872,0.0035815127,0.00012722643,0.0006787348,0.000732132,0.1258996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988675,0.00003233032,0.000005967735,0.00002136692,0.00004679175,0.000006705655],"domain_scores_gemma":[0.9995758,0.00030553163,0.000015634516,0.00004289902,0.0000468522,0.00001335713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005340269,0.0005356756,0.00034818228,0.0005071362,0.00020218187,0.0020649356,0.0008158466,0.0008188191,0.0051810546],"category_scores_gemma":[0.0014418351,0.00022979685,0.00047725477,0.0010269926,0.0010100987,0.0030166137,0.00075714715,0.0016928432,0.0012115366],"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":[0.00004449042,0.00007022815,0.0004521236,0.000333838,0.00008481656,0.000084810345,0.000115319286,0.077145144,0.0022660035,0.64638627,0.02485348,0.24816348],"study_design_scores_gemma":[0.000007567208,0.000022819344,0.0003817986,0.00010229613,0.00002292352,0.00007536157,0.000034077013,0.25575134,0.0013214132,0.63033533,0.11191897,0.000026073687],"about_ca_topic_score_codex":0.002089674,"about_ca_topic_score_gemma":0.002900251,"teacher_disagreement_score":0.0051810546,"about_ca_system_score_codex":0.00056020805,"about_ca_system_score_gemma":0.0005775228,"threshold_uncertainty_score":0.017332315},"labels":[],"label_agreement":null}]}