{"meta":{"query_hash":"a391fcbeb902","filters":{"venue":"Journal of Ambient Intelligence and Smart Environments"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/a391fcbeb902","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Ambient+Intelligence+and+Smart+Environments"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.03694850915679801,"score_gpt":0.25566350067828514,"score_spread":0.21871499152148713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569443033","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":[0.51172376,0.000066327775,0.48791578,0.000016180767,0.00014562179,0.000080205704,0.0000010251254,0.0000037974248,0.000047285495],"genre_scores_gemma":[0.9936814,0.00014425768,0.0058297156,0.000053147578,0.000034906217,0.0000041931416,1.15588676e-7,0.00000890315,0.00024336313],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984738,0.00011212909,0.00057176367,0.00019734923,0.00044680006,0.00019813587],"domain_scores_gemma":[0.99881405,0.00016218045,0.000638458,0.00022690588,0.000044803688,0.00011358771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004947758,0.0001464732,0.00027658168,0.00022095925,0.0000945633,0.000111998546,0.00031288475,0.000052650616,0.000036079393],"category_scores_gemma":[0.000040436596,0.00013386126,0.00010953054,0.00011741034,0.00007960339,0.0018267403,0.00019888324,0.00018334297,0.000010877649],"study_design_candidate":"bench_or_experimental","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":[0.000032928026,0.00042888703,0.0144226,0.000066459485,0.00014959871,0.000013772928,0.004269494,0.009116569,0.659056,0.000055454424,0.000022946744,0.3123653],"study_design_scores_gemma":[0.00025262823,0.00042745823,0.008296041,0.00039138825,0.000037116795,0.00023513263,0.0016942896,0.76310664,0.22447093,0.00054669817,0.00021041282,0.00033123998],"about_ca_topic_score_codex":0.00011599385,"about_ca_topic_score_gemma":0.000008488003,"teacher_disagreement_score":0.7539901,"about_ca_system_score_codex":0.000102359605,"about_ca_system_score_gemma":0.000032213393,"threshold_uncertainty_score":0.54587036},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.028930267553445778,"score_gpt":0.24032552075316765,"score_spread":0.21139525319972188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1658014787","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":[0.90056354,0.00011000441,0.09723135,0.00043745319,0.00065322145,0.00045405552,0.000001459018,0.00001193832,0.00053697167],"genre_scores_gemma":[0.9983667,0.000084058,0.0011099102,0.000071216884,0.000040611478,0.000012213638,1.356755e-7,0.0000072437815,0.000307901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998162,0.00016063002,0.0007244301,0.00018368808,0.00058032695,0.00018895748],"domain_scores_gemma":[0.99860245,0.00011283766,0.00078652916,0.00033309357,0.000056423214,0.000108640495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005828722,0.00013024875,0.00027040363,0.00012086384,0.000100174104,0.00008484041,0.0006040031,0.000035967474,0.000018726212],"category_scores_gemma":[0.000022474114,0.000086807006,0.000121979225,0.00018459183,0.00007637066,0.0007188842,0.0002830723,0.00017328061,0.00003730936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062814936,0.0015203608,0.5340634,0.00048669253,0.0006399797,0.00005998893,0.007178738,0.00086168747,0.083846115,0.0051627173,0.0016012312,0.3645163],"study_design_scores_gemma":[0.0011596122,0.0013811267,0.58452994,0.0033866507,0.00016887537,0.0010867016,0.005139047,0.03619786,0.35187945,0.0013546732,0.012746321,0.00096976367],"about_ca_topic_score_codex":0.00018550131,"about_ca_topic_score_gemma":0.000011378918,"teacher_disagreement_score":0.36354652,"about_ca_system_score_codex":0.00013512693,"about_ca_system_score_gemma":0.000031118878,"threshold_uncertainty_score":0.3539887},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.037526087398261854,"score_gpt":0.2419542904604999,"score_spread":0.20442820306223805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1751193738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32061943,0.00006603634,0.673712,0.003159672,0.0010343349,0.0012664986,0.000013368941,0.000021991676,0.000106681844],"genre_scores_gemma":[0.99738425,0.0000400305,0.0004623908,0.0014825757,0.00008031524,0.00013787854,0.0000039766487,0.000019943784,0.00038862383],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754226,0.0002646463,0.0007883767,0.00037937707,0.0007106394,0.0003146769],"domain_scores_gemma":[0.99791646,0.0006326153,0.0007244324,0.00047796706,0.00007509599,0.00017342658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007897689,0.00028130214,0.00035527736,0.0001807979,0.0002718999,0.00031779462,0.00065831,0.0001023742,0.00006536802],"category_scores_gemma":[0.00005224015,0.00019619089,0.00017781138,0.00012563771,0.00007105748,0.0013133032,0.00016042168,0.00028317815,0.0002067443],"study_design_candidate":"design_other","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":[0.0020375643,0.0065444065,0.057890337,0.001533635,0.001763297,0.00013838989,0.020073982,0.013472565,0.054173943,0.0064398646,0.013071023,0.822861],"study_design_scores_gemma":[0.0032464562,0.005031438,0.0263493,0.003798741,0.00022729221,0.0005135773,0.023871511,0.6341214,0.1590185,0.0015708605,0.14047606,0.0017748468],"about_ca_topic_score_codex":0.00011717664,"about_ca_topic_score_gemma":0.000011290407,"teacher_disagreement_score":0.82108617,"about_ca_system_score_codex":0.00027986104,"about_ca_system_score_gemma":0.000036050646,"threshold_uncertainty_score":0.8000432},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03245618576611292,"score_gpt":0.27041258316289374,"score_spread":0.23795639739678082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214733928","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":[0.6039521,0.00020255402,0.39521185,0.00015041308,0.00032489066,0.00010263513,0.000003023014,0.000004156434,0.000048365622],"genre_scores_gemma":[0.9882549,0.00014280496,0.011238626,0.00008496226,0.000035598343,0.0000067200185,0.000001936654,0.00000790009,0.00022655545],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983413,0.00007186318,0.0006641774,0.00025530945,0.00044628425,0.00022101695],"domain_scores_gemma":[0.99861664,0.00016878998,0.00076424505,0.00021607029,0.000112781825,0.00012149054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006105504,0.00014531739,0.00034663393,0.00012190638,0.00011635953,0.00007712513,0.00034312363,0.00005826798,0.00002293722],"category_scores_gemma":[0.000032556018,0.00013412024,0.0001296847,0.00012590036,0.000041766303,0.00072583434,0.0002262416,0.00011915122,0.000008485106],"study_design_candidate":"bench_or_experimental","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":[0.00007820237,0.0007345382,0.041841783,0.00037590758,0.00039495193,0.00007804204,0.014261542,0.00008058701,0.0646165,0.00013601157,0.00009405674,0.8773079],"study_design_scores_gemma":[0.00052653655,0.0003589647,0.035968002,0.0004876729,0.000052391024,0.0002631482,0.0032685655,0.0018919961,0.92160994,0.00052685273,0.034681685,0.0003642492],"about_ca_topic_score_codex":0.000009344045,"about_ca_topic_score_gemma":0.000020567632,"teacher_disagreement_score":0.87694365,"about_ca_system_score_codex":0.00007344153,"about_ca_system_score_gemma":0.00011531013,"threshold_uncertainty_score":0.5469265},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03732970543127413,"score_gpt":0.2570522876370427,"score_spread":0.21972258220576857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281699784","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":[0.9601114,0.00021498695,0.039080936,0.000027688864,0.00023210415,0.00020600176,0.00008329236,0.000005419206,0.00003819172],"genre_scores_gemma":[0.99923104,0.00027772822,0.00035264686,0.00002202847,0.000048074464,0.0000081241305,0.000022515378,0.000017132901,0.000020723981],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999052,0.000042073803,0.00031532132,0.00015828958,0.00027640208,0.0001559136],"domain_scores_gemma":[0.9994432,0.00012100849,0.00016463177,0.00017516296,0.000010629613,0.00008537059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036213433,0.00012648034,0.0002128609,0.00012349841,0.00012856312,0.000019968022,0.00020666144,0.00003312785,0.000029929282],"category_scores_gemma":[0.00004140851,0.00012418849,0.000043932687,0.00007089543,0.00006680314,0.00016000468,0.00012691795,0.00024061407,9.731053e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023555731,0.0002789178,0.011975478,0.00012264519,0.00014683006,0.000015863041,0.0007700369,0.009141614,0.93653977,0.000008388518,0.00013055172,0.040634345],"study_design_scores_gemma":[0.00097521144,0.00260967,0.005915626,0.00016583192,0.00013587215,0.00016117324,0.0005436861,0.00069830276,0.9815097,0.002764747,0.0041652904,0.00035490823],"about_ca_topic_score_codex":0.000012242462,"about_ca_topic_score_gemma":0.000002765616,"teacher_disagreement_score":0.04496991,"about_ca_system_score_codex":0.000059635047,"about_ca_system_score_gemma":0.0000074104482,"threshold_uncertainty_score":0.506426},"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,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.008820209294394105,"score_gpt":0.22814515753684791,"score_spread":0.2193249482424538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407757775","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":[0.7432904,0.0006711327,0.25552177,0.000005973496,0.00032413844,0.000110637884,0.0000015030698,0.000015620146,0.000058777416],"genre_scores_gemma":[0.9978883,0.0006829471,0.0013699986,0.000010882466,0.000018355922,0.000002363028,0.0000014794298,0.0000129003965,0.000012734452],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902004,0.000044238994,0.0005125394,0.00009896152,0.00018731107,0.00013693707],"domain_scores_gemma":[0.99956775,0.00006648591,0.000212248,0.00007649809,0.000026859681,0.000050153707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020692653,0.00012879916,0.00021007347,0.00014239877,0.000061163766,0.000018014705,0.000084201514,0.00007617635,0.000007874944],"category_scores_gemma":[0.00003925547,0.00012725912,0.0000653789,0.0001351123,0.00005149735,0.00023640167,0.000020307472,0.00025114074,0.0000010417656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004007205,0.000030745552,0.024708753,0.00004063294,0.000048977246,0.0000053555295,0.000081745304,0.03194347,0.9189825,0.000008593068,5.527747e-7,0.02410857],"study_design_scores_gemma":[0.00018267836,0.00017349374,0.0018286523,0.0003557268,0.000041794276,0.0000071452187,0.000115900155,0.012418865,0.9843176,0.00008313187,0.00037642667,0.00009860119],"about_ca_topic_score_codex":0.000012445004,"about_ca_topic_score_gemma":0.000001705231,"teacher_disagreement_score":0.25459787,"about_ca_system_score_codex":0.00018055912,"about_ca_system_score_gemma":0.000013954792,"threshold_uncertainty_score":0.5189476},"labels":[],"label_agreement":null}]}