{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"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"},"query_hash":"a391fcbeb902","filters":{"venue":"Journal of Ambient Intelligence and Smart Environments"}},"results":[{"id":"W1751193738","doi":"10.3233/ais-120190","title":"A context-aware service provision system for smart environments based on the user interaction modalities","year":2013,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Smart Environments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke; Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Modalities; Context (archaeology); Human–computer interaction; Service (business); World Wide Web; Multimedia","retraction":null,"screen_n_in":null,"score":{"opus":0.03752608739826185,"gpt":0.2419542904604999,"spread":0.2044282030622381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007897689,0.0002813021,0.0003552774,0.0001807979,0.0002718999,0.0003177946,0.00065831,0.0001023742,0.00006536802],"category_scores_gemma":[0.00005224015,0.0001961909,0.0001778114,0.0001256377,0.00007105748,0.001313303,0.0001604217,0.0002831781,0.0002067443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000279861,"about_ca_system_score_gemma":0.00003605065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001171766,"about_ca_topic_score_gemma":0.00001129041,"domain_scores_codex":[0.9975423,0.0002646463,0.0007883767,0.0003793771,0.0007106394,0.0003146769],"domain_scores_gemma":[0.9979165,0.0006326153,0.0007244324,0.0004779671,0.00007509599,0.0001734266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002037564,0.006544407,0.05789034,0.001533635,0.001763297,0.0001383899,0.02007398,0.01347257,0.05417394,0.006439865,0.01307102,0.822861],"study_design_scores_gemma":[0.003246456,0.005031438,0.0263493,0.003798741,0.0002272922,0.0005135773,0.02387151,0.6341214,0.1590185,0.001570861,0.1404761,0.001774847],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3206194,0.00006603634,0.673712,0.003159672,0.001034335,0.001266499,0.00001336894,0.00002199168,0.0001066818],"genre_scores_gemma":[0.9973843,0.0000400305,0.0004623908,0.001482576,0.00008031524,0.0001378785,0.000003976649,0.00001994378,0.0003886238],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8210862,"threshold_uncertainty_score":0.8000432,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1658014787","doi":"10.3233/ais-130221","title":"A real-world deployment of the COACH prompting system","year":2013,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Smart Environments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software deployment; Computer science; Task (project management); Dementia; Activities of daily living; Cognition; Overhead (engineering); Tracking (education); Gesture; Independent living; Human–computer interaction; Physical medicine and rehabilitation; Applied psychology; Artificial intelligence; Psychology; Medicine; Physical therapy; Gerontology","retraction":null,"screen_n_in":null,"score":{"opus":0.02893026755344578,"gpt":0.2403255207531677,"spread":0.2113952531997219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005828722,0.0001302488,0.0002704036,0.0001208638,0.0001001741,0.00008484041,0.0006040031,0.00003596747,0.00001872621],"category_scores_gemma":[0.00002247411,0.00008680701,0.0001219792,0.0001845918,0.00007637066,0.0007188842,0.0002830723,0.0001732806,0.00003730936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351269,"about_ca_system_score_gemma":0.00003111888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001855013,"about_ca_topic_score_gemma":0.00001137892,"domain_scores_codex":[0.998162,0.00016063,0.0007244301,0.0001836881,0.0005803269,0.0001889575],"domain_scores_gemma":[0.9986024,0.0001128377,0.0007865292,0.0003330936,0.00005642321,0.0001086405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006281494,0.001520361,0.5340634,0.0004866925,0.0006399797,0.00005998893,0.007178738,0.0008616875,0.08384611,0.005162717,0.001601231,0.3645163],"study_design_scores_gemma":[0.001159612,0.001381127,0.5845299,0.003386651,0.0001688754,0.001086702,0.005139047,0.03619786,0.3518794,0.001354673,0.01274632,0.0009697637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005635,0.0001100044,0.09723135,0.0004374532,0.0006532214,0.0004540555,0.000001459018,0.00001193832,0.0005369717],"genre_scores_gemma":[0.9983667,0.000084058,0.00110991,0.00007121688,0.00004061148,0.00001221364,1.356755e-7,0.000007243782,0.000307901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3635465,"threshold_uncertainty_score":0.3539887,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1569443033","doi":"10.3233/ais-130208","title":"Detection of daily living activities using a two-stage Markov model","year":2013,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Smart Environments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Hidden Markov model; Markov model; Artificial intelligence; Software deployment; Stage (stratigraphy); Activity recognition; Markov chain; Segmentation; Machine learning; Activities of daily living; Activity detection; Markov process; Identification (biology); Data mining; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.03694850915679801,"gpt":0.2556635006782851,"spread":0.2187149915214871,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004947758,0.0001464732,0.0002765817,0.0002209592,0.0000945633,0.0001119985,0.0003128847,0.00005265062,0.00003607939],"category_scores_gemma":[0.0000404366,0.0001338613,0.0001095305,0.0001174103,0.00007960339,0.00182674,0.0001988832,0.000183343,0.00001087765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023596,"about_ca_system_score_gemma":0.00003221339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001159938,"about_ca_topic_score_gemma":0.000008488003,"domain_scores_codex":[0.9984738,0.0001121291,0.0005717637,0.0001973492,0.0004468001,0.0001981359],"domain_scores_gemma":[0.998814,0.0001621805,0.000638458,0.0002269059,0.00004480369,0.0001135877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003292803,0.000428887,0.0144226,0.00006645948,0.0001495987,0.00001377293,0.004269494,0.009116569,0.659056,0.00005545442,0.00002294674,0.3123653],"study_design_scores_gemma":[0.0002526282,0.0004274582,0.008296041,0.0003913883,0.0000371168,0.0002351326,0.00169429,0.7631066,0.2244709,0.0005466982,0.0002104128,0.00033124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5117238,0.00006632778,0.4879158,0.00001618077,0.0001456218,0.0000802057,0.000001025125,0.000003797425,0.0000472855],"genre_scores_gemma":[0.9936814,0.0001442577,0.005829716,0.00005314758,0.00003490622,0.000004193142,1.155887e-7,0.00000890315,0.0002433631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7539901,"threshold_uncertainty_score":0.5458704,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281699784","doi":"10.3233/ais-210462","title":"Ultra-wideband data as input of a combined EfficientNet and LSTM architecture for human activity recognition","year":2022,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Smart Environments","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":14,"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 Chicoutimi","funders":"Moonshot Research and Development Program","keywords":"Computer science; Activity recognition; Artificial intelligence; Transfer of learning; Machine learning; Human–computer interaction; Variety (cybernetics); Speech recognition","retraction":null,"screen_n_in":null,"score":{"opus":0.03732970543127413,"gpt":0.2570522876370427,"spread":0.2197225822057686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003621343,0.0001264803,0.0002128609,0.0001234984,0.0001285631,0.00001996802,0.0002066614,0.00003312785,0.00002992928],"category_scores_gemma":[0.00004140851,0.0001241885,0.00004393269,0.00007089543,0.00006680314,0.0001600047,0.0001269179,0.0002406141,9.731053e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005963505,"about_ca_system_score_gemma":0.000007410448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001224246,"about_ca_topic_score_gemma":0.000002765616,"domain_scores_codex":[0.999052,0.0000420738,0.0003153213,0.0001582896,0.0002764021,0.0001559136],"domain_scores_gemma":[0.9994432,0.0001210085,0.0001646318,0.000175163,0.00001062961,0.00008537059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002355573,0.0002789178,0.01197548,0.0001226452,0.0001468301,0.00001586304,0.0007700369,0.009141614,0.9365398,0.000008388518,0.0001305517,0.04063435],"study_design_scores_gemma":[0.0009752114,0.00260967,0.005915626,0.0001658319,0.0001358721,0.0001611732,0.0005436861,0.0006983028,0.9815097,0.002764747,0.00416529,0.0003549082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601114,0.000214987,0.03908094,0.00002768886,0.0002321042,0.0002060018,0.00008329236,0.000005419206,0.00003819172],"genre_scores_gemma":[0.999231,0.0002777282,0.0003526469,0.00002202847,0.00004807446,0.000008124131,0.00002251538,0.0000171329,0.00002072398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04496991,"threshold_uncertainty_score":0.506426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3214733928","doi":"10.3233/ais-210616","title":"Caregiver development of activity-supporting services for smart homes","year":2021,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Smart Environments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Wizard; Activities of daily living; Wizard of oz; Home automation; Service (business); Computer science; Assisted living; Bathing; Upload; Independent living; Internet privacy; Human–computer interaction; Gerontology; World Wide Web; Medicine; Business; Physical therapy","retraction":null,"screen_n_in":null,"score":{"opus":0.03245618576611292,"gpt":0.2704125831628937,"spread":0.2379563973967808,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006105504,0.0001453174,0.0003466339,0.0001219064,0.0001163595,0.00007712513,0.0003431236,0.00005826798,0.00002293722],"category_scores_gemma":[0.00003255602,0.0001341202,0.0001296847,0.0001259004,0.0000417663,0.0007258343,0.0002262416,0.0001191512,0.000008485106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007344153,"about_ca_system_score_gemma":0.0001153101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009344045,"about_ca_topic_score_gemma":0.00002056763,"domain_scores_codex":[0.9983413,0.00007186318,0.0006641774,0.0002553095,0.0004462842,0.0002210169],"domain_scores_gemma":[0.9986166,0.00016879,0.0007642451,0.0002160703,0.0001127818,0.0001214905],"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":[0.00007820237,0.0007345382,0.04184178,0.0003759076,0.0003949519,0.00007804204,0.01426154,0.00008058701,0.0646165,0.0001360116,0.00009405674,0.8773079],"study_design_scores_gemma":[0.0005265365,0.0003589647,0.035968,0.0004876729,0.00005239102,0.0002631482,0.003268566,0.001891996,0.9216099,0.0005268527,0.03468169,0.0003642492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6039521,0.000202554,0.3952118,0.0001504131,0.0003248907,0.0001026351,0.000003023014,0.000004156434,0.00004836562],"genre_scores_gemma":[0.9882549,0.000142805,0.01123863,0.00008496226,0.00003559834,0.000006720019,0.000001936654,0.00000790009,0.0002265555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8769436,"threshold_uncertainty_score":0.5469265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407757775","doi":"10.1177/18761364241305552","title":"Video-based contactless detection of task-related concentration using advanced machine-learning techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Ambient Intelligence and Smart Environments","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Fields Institute for Research in Mathematical Sciences; York University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Task (project management); Human–computer interaction; Multimedia; Artificial intelligence; Machine learning; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008820209294394105,"gpt":0.2281451575368479,"spread":0.2193249482424538,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002069265,0.0001287992,0.0002100735,0.0001423988,0.00006116377,0.00001801471,0.00008420151,0.00007617635,0.000007874944],"category_scores_gemma":[0.00003925547,0.0001272591,0.0000653789,0.0001351123,0.00005149735,0.0002364017,0.00002030747,0.0002511407,0.000001041766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001805591,"about_ca_system_score_gemma":0.00001395479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000012445,"about_ca_topic_score_gemma":0.000001705231,"domain_scores_codex":[0.99902,0.00004423899,0.0005125394,0.00009896152,0.0001873111,0.0001369371],"domain_scores_gemma":[0.9995677,0.00006648591,0.000212248,0.00007649809,0.00002685968,0.00005015371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004007205,0.00003074555,0.02470875,0.00004063294,0.00004897725,0.00000535553,0.0000817453,0.03194347,0.9189825,0.000008593068,5.527747e-7,0.02410857],"study_design_scores_gemma":[0.0001826784,0.0001734937,0.001828652,0.0003557268,0.00004179428,0.000007145219,0.0001159002,0.01241887,0.9843176,0.00008313187,0.0003764267,0.00009860119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7432904,0.0006711327,0.2555218,0.000005973496,0.0003241384,0.0001106379,0.00000150307,0.00001562015,0.00005877742],"genre_scores_gemma":[0.9978883,0.0006829471,0.001369999,0.00001088247,0.00001835592,0.000002363028,0.00000147943,0.0000129004,0.00001273445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2545979,"threshold_uncertainty_score":0.5189476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}