{"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":"fa7f7ee5c054","filters":{"venue":"Journal of Smart Cities and Society"}},"results":[{"id":"W4383558264","doi":"10.3233/scs-230004","title":"What smart tourism in post-conflict cities follows a urbicide process? The role of new technologies in urban tourism in the western Balkans","year":2023,"lang":"en","type":"article","venue":"Journal of Smart Cities and Society","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Urbanity; Tourism; Political science; Economy; Geography; Law","authors":[{"name":"Cyril Martin-Colonna","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0165052973361582,"gpt":0.2240988060427704,"spread":0.2075935087066122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001554774,0.0002113817,0.0002302699,0.0007428667,0.006898318,0.0143561,0.0006622195,0.002003113,0.003980116],"category_scores_gemma":[0.002216937,0.0002780188,0.0001857464,0.00152544,0.01556441,0.01179396,0.005759804,0.001973714,0.0005776632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004427625,"about_ca_system_score_gemma":0.003028415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02883739,"about_ca_topic_score_gemma":0.04020452,"domain_scores_codex":[0.9988043,0.0005070235,0.00003122082,0.0001034504,0.0001223791,0.0004315795],"domain_scores_gemma":[0.9991727,0.0001601011,0.0002070829,0.00008566711,0.0001196337,0.0002546904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001042958,0.0001647612,0.01965575,0.0002863823,0.00002658076,0.001684534,0.5568091,0.0005691982,0.0005097095,0.3516361,0.01698715,0.0515664],"study_design_scores_gemma":[0.00001157543,0.00005185468,0.02593277,0.0003093508,0.00001114124,0.0002990615,0.6699376,0.0003688351,0.0002496208,0.03308221,0.2697089,0.00003722819],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.771818,0.006594491,0.001559175,0.05896734,0.0004974712,0.0000621389,0.0001014427,0.00004310694,0.1603568],"genre_scores_gemma":[0.9919345,0.001600353,0.0001822332,0.001087806,0.0000454326,0.00001479301,0.00001851057,0.0000143257,0.005101887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02883739,"threshold_uncertainty_score":0.05733907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4294775241","doi":"10.3233/scs-220012","title":"Auxiliary-LSTM based floor-level occupancy prediction using Wi-Fi access point logs","year":2022,"lang":"en","type":"article","venue":"Journal of Smart Cities and Society","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":2,"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":"","keywords":"Computer science; Occupancy; Key (lock); Autoregressive integrated moving average; Context (archaeology); Data mining; Process (computing); Big data; Component (thermodynamics); Reliability (semiconductor); Global Positioning System; Perceptron; Machine learning; Artificial intelligence; Time series; Artificial neural network; Telecommunications","authors":[{"name":"Omair Ahmad","is_ca":true},{"name":"Bilal Farooq","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06523510784843148,"gpt":0.3217286832854919,"spread":0.2564935754370604,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003205069,0.0006337693,0.0004281168,0.0005540879,0.0001918117,0.0006053327,0.0007486113,0.0005089105,0.00149922],"category_scores_gemma":[0.001509608,0.0003016163,0.0005616532,0.0006783676,0.000204435,0.0009153212,0.0004508484,0.0008732229,0.0005899924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005803893,"about_ca_system_score_gemma":0.0006268307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01334401,"about_ca_topic_score_gemma":0.01739355,"domain_scores_codex":[0.9998372,0.00003023893,0.00001062741,0.00006067493,0.00003031857,0.00003095989],"domain_scores_gemma":[0.9996475,0.0001776966,0.00003368227,0.0000248064,0.00009790547,0.00001832585],"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":[0.0002564791,0.0002354739,0.01202413,0.0001276586,0.00008763776,0.0002217046,0.0001828002,0.772371,0.006400603,0.001736535,0.003504241,0.2028517],"study_design_scores_gemma":[0.000001396625,0.000009643743,0.0007650913,0.000003387736,0.000004182015,0.000008695346,0.00001195958,0.9981257,0.000509535,0.0004191601,0.0001377961,0.000003374165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4088977,0.0004834223,0.5788626,0.0004811493,0.0002258995,0.00008544645,0.00257868,0.003989657,0.004395419],"genre_scores_gemma":[0.9537756,0.0001625493,0.04240365,0.0000654876,0.00003331847,0.00007119223,0.001553823,0.00004916859,0.001885193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01334401,"threshold_uncertainty_score":0.02653271,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410490166","doi":"10.1177/27723577251337010","title":"Comparative analysis of two methods in fine-grained activity recognition for ambient assisted living","year":2025,"lang":"en","type":"article","venue":"Journal of Smart Cities and Society","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Assisted living; Computer science; Medicine; Gerontology","authors":[{"name":"Habba'S Ngodjou Doukaga","is_ca":true},{"name":"Noro Haritiana Louisiane Randrianarivelo Rakotoarson","is_ca":true},{"name":"Alex Roberge","is_ca":true},{"name":"Gabriel Aubin-Morneau","is_ca":true},{"name":"Pascal E. Fortin","is_ca":true},{"name":"Julien Maítre","is_ca":true},{"name":"Bruno Bouchard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07834092687409662,"gpt":0.383536421488762,"spread":0.3051954946146654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002515537,0.0009434975,0.0009403349,0.001997659,0.0003208527,0.001386282,0.0008233952,0.001142757,0.001156488],"category_scores_gemma":[0.008156423,0.0002324571,0.0007175332,0.001286168,0.0004430239,0.001612804,0.0008892988,0.0006090701,0.0005917233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826261,"about_ca_system_score_gemma":0.0006501061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00340544,"about_ca_topic_score_gemma":0.003838988,"domain_scores_codex":[0.9965894,0.0009383949,0.0002549996,0.0008109688,0.001205425,0.0002008582],"domain_scores_gemma":[0.9956797,0.002479338,0.0002162702,0.0006032608,0.0009163772,0.0001051585],"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":[0.0006756168,0.0004026096,0.005237738,0.0004596111,0.0002312459,0.00007474563,0.0002589589,0.0550449,0.02100177,0.003895605,0.001027473,0.9116898],"study_design_scores_gemma":[0.00007371606,0.001211375,0.02111867,0.00009843887,0.0001813561,0.0004137667,0.0003492165,0.9394646,0.02655304,0.004016028,0.006420582,0.0000992097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.103279,0.00395176,0.8855188,0.0002746605,0.0001910981,0.0002683651,0.0001578889,0.001704641,0.004653774],"genre_scores_gemma":[0.5563548,0.002234833,0.4374292,0.0001635186,0.00009086975,0.0003061321,0.0007072883,0.0001691116,0.002544148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00340544,"threshold_uncertainty_score":0.01330358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}