{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"cf4b35a55735","filters":{"venue":"Urban Informatics"}},"results":[{"id":"W4312197947","doi":"10.1007/s44212-022-00021-1","title":"A systematic review of the modifiable areal unit problem (MAUP) in community food environmental research","year":2022,"lang":"en","type":"review","venue":"Urban Informatics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Wuhan University; Chinese University of Hong Kong; National Natural Science Foundation of China","keywords":"Geospatial analysis; Geography; Socioeconomic status; Unit (ring theory); Consistency (knowledge bases); Environmental health; Cartography; Computer science; Psychology; Medicine","authors":[{"name":"Xiang Chen","is_ca":false},{"name":"Xinyue Ye","is_ca":false},{"name":"Michael J. Widener","is_ca":true},{"name":"Eric Delmelle","is_ca":false},{"name":"Mei‐Po Kwan","is_ca":false},{"name":"Jerry Shannon","is_ca":false},{"name":"Elizabeth F. Racine","is_ca":false},{"name":"Aaron J. Adams","is_ca":false},{"name":"Lü Liang","is_ca":false},{"name":"Peng Jia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1458697826424238,"gpt":0.3790569994642302,"spread":0.2331872168218064,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06121019,0.001854034,0.007460866,0.02076657,0.001225962,0.005596861,0.003530583,0.003639592,0.004286254],"category_scores_gemma":[0.2449173,0.001997926,0.009768417,0.02239762,0.002881424,0.005559172,0.004328704,0.002780547,0.0003742817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008488481,"about_ca_system_score_gemma":0.03471658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983368,"about_ca_topic_score_gemma":0.04708643,"domain_scores_codex":[0.9315231,0.03480044,0.01859022,0.004211315,0.01007676,0.0007980906],"domain_scores_gemma":[0.6788626,0.2738584,0.02473802,0.005627192,0.01589508,0.00101872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009005918,0.00003335627,0.001853332,0.8562554,0.006253266,0.0001237669,0.000782237,0.0004930652,0.0000934706,0.004326035,0.005342796,0.1243533],"study_design_scores_gemma":[0.00005568367,0.00009130585,0.002780774,0.9486832,0.01203485,0.0001606602,0.0005366368,0.0002590241,0.00009998526,0.001829253,0.03342402,0.00004462526],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007745681,0.995782,0.001049955,0.001014184,0.0003696564,0.0003276975,0.0003265697,0.00001140797,0.0003438871],"genre_scores_gemma":[0.01902276,0.9728631,0.00487195,0.001291054,0.0002164381,0.001258792,0.0003261209,0.00001781882,0.0001319043],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06121019,"threshold_uncertainty_score":0.3237143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400510070","doi":"10.1007/s44212-024-00053-9","title":"Understanding pedestrian movement using urban sensing technologies: the promise of audio-based sensors","year":2024,"lang":"en","type":"article","venue":"Urban Informatics","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Pedestrian; Movement (music); Computer science; Computer vision; Human–computer interaction; Transport engineering; Engineering; Acoustics","authors":[{"name":"Chaeyeon Han","is_ca":false},{"name":"Pavan Seshadri","is_ca":false},{"name":"Yiwei Ding","is_ca":false},{"name":"Noah Posner","is_ca":false},{"name":"Bon Woo Koo","is_ca":true},{"name":"Animesh Agrawal","is_ca":false},{"name":"Alexander Lerch","is_ca":false},{"name":"Subhrajit Guhathakurta","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1130460549984666,"gpt":0.2954515601075431,"spread":0.1824055051090765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004775645,0.0006555992,0.0003687014,0.001392654,0.0002611206,0.001103588,0.0005071844,0.0005953943,0.001500274],"category_scores_gemma":[0.001617214,0.0001560469,0.0003333198,0.001364794,0.0003375568,0.001169314,0.0007439343,0.0006202958,0.0006424176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414456,"about_ca_system_score_gemma":0.0002979962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003458529,"about_ca_topic_score_gemma":0.006584776,"domain_scores_codex":[0.999657,0.0001000016,0.00001605682,0.00008777144,0.0001027889,0.00003625693],"domain_scores_gemma":[0.9990079,0.0004417537,0.0001153125,0.0001273174,0.0002500803,0.00005771016],"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":[0.0007108155,0.0003969201,0.07159048,0.001503262,0.0002380629,0.0006059355,0.0007877253,0.07852667,0.06670967,0.007212066,0.02059399,0.7511244],"study_design_scores_gemma":[0.00009964358,0.0007628402,0.1492816,0.0008859082,0.0003395358,0.001310376,0.004018761,0.6706625,0.05441953,0.03301543,0.08495638,0.000247488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3882907,0.007825771,0.5575745,0.003207862,0.001139233,0.0002582659,0.008993309,0.002394923,0.03031542],"genre_scores_gemma":[0.7998051,0.003650205,0.187862,0.0005033641,0.0006455013,0.0001212926,0.004340555,0.0001080561,0.002963984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003458529,"threshold_uncertainty_score":0.006876826,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403064525","doi":"10.1007/s44212-024-00058-4","title":"Urban street clusters: unraveling the associations of street characteristics on urban vibrancy dynamics in age, time, and day","year":2024,"lang":"en","type":"article","venue":"Urban Informatics","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Fulbright Canada","funders":"Fulbright Canada","keywords":"Geography; Economic geography; Dynamics (music); Sociology","authors":[{"name":"Kee Moon Jang","is_ca":false},{"name":"Hanew Suh","is_ca":false},{"name":"Fadi Ghassan Haddad","is_ca":true},{"name":"Maoran Sun","is_ca":false},{"name":"Fábio Duarte","is_ca":false},{"name":"Young‐Chul Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008792034565778905,"gpt":0.2001698853383922,"spread":0.1913778507726133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003568048,0.0002593904,0.00026073,0.00247476,0.0003599878,0.001069208,0.0003066357,0.000240086,0.002010259],"category_scores_gemma":[0.001865515,0.0001480173,0.0003964739,0.002918217,0.0003288127,0.0008474019,0.0009206048,0.0003037326,0.0002886133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003415628,"about_ca_system_score_gemma":0.0003609335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060858,"about_ca_topic_score_gemma":0.019689,"domain_scores_codex":[0.9997537,0.00007088805,0.00001531263,0.00007445461,0.0000367333,0.00004900995],"domain_scores_gemma":[0.998727,0.0004569259,0.0002849325,0.0001400851,0.0002582294,0.0001327603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001278881,0.00006135941,0.9544315,0.00009027562,0.0001229232,0.0001463784,0.002326139,0.00445921,0.001651562,0.001691276,0.001422646,0.03346885],"study_design_scores_gemma":[0.00000305415,0.00004149251,0.9588029,0.0000440018,0.00005477513,0.00006156455,0.006588065,0.03064465,0.0004057216,0.00135585,0.001976881,0.00002100748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946826,0.00009213101,0.00307805,0.00006247674,0.000008720895,0.00001606171,0.0006596472,0.00004121882,0.001358949],"genre_scores_gemma":[0.9977851,0.00002827612,0.001597737,0.00000578727,0.000005314517,0.00001189594,0.0004034944,0.00000764061,0.000154608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01060858,"threshold_uncertainty_score":0.02109367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}