{"id":"W4319586132","doi":"10.1109/icdmw58026.2022.00040","title":"MAISON - Multimodal AI-based Sensor platform for Older Individuals","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Rehabilitation Institute; University Health Network","funders":"","keywords":"Cloud computing; Scalability; Modalities; Computer science; Data collection; Independent living; Population; Gerontology; Database; Medicine; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00161102,0.0003024225,0.0003183859,0.0004663011,0.001201142,0.0002981515,0.003751091,0.0002262203,0.00629817],"category_scores_gemma":[0.001048089,0.0003481481,0.0001100598,0.0004509223,0.0002710774,0.000613778,0.0007329205,0.0008018707,0.00006228148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098563,"about_ca_system_score_gemma":0.0006436579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003018462,"about_ca_topic_score_gemma":0.001051243,"domain_scores_codex":[0.9961641,0.0001844469,0.0005108421,0.001039548,0.001436927,0.0006641058],"domain_scores_gemma":[0.9973989,0.0008656821,0.0003463522,0.0009837977,0.0002525054,0.0001527904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001050352,0.001801823,0.03036093,0.00005277921,0.0008326506,0.000154877,0.02224272,0.003799621,0.0008054411,0.1035704,0.425741,0.4095874],"study_design_scores_gemma":[0.007690821,0.0006016853,0.009005493,0.0003352256,0.0001758169,0.00002370986,0.04886466,0.2820625,0.0008710341,0.003643957,0.6445629,0.002162212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7863961,0.0001478269,0.02835978,0.1090501,0.01770743,0.004781143,0.02543178,0.002103806,0.02602195],"genre_scores_gemma":[0.9832656,0.00002022429,0.007674447,0.002071142,0.0004313446,0.0005190708,0.002877887,0.00005063175,0.003089653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4074252,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1285942081604816,"score_gpt":0.3837485378671551,"score_spread":0.2551543297066736,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}