{"id":"W4294891909","doi":"10.1145/3550284","title":"SAMoSA","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Music and Audio Processing","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Smartwatch; Computer science; Activity recognition; Wearable computer; Rendering (computer graphics); Inference; Mobile device; Speech recognition; Wearable technology; Deep learning; Artificial intelligence; Power consumption; Power (physics); Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006992822,0.001467963,0.0008142072,0.001602964,0.001319321,0.003201531,0.001544173,0.001549994,0.1532532],"category_scores_gemma":[0.001914517,0.000528692,0.0008660079,0.001342247,0.0004656476,0.002189146,0.002679037,0.001292798,0.161211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005140118,"about_ca_system_score_gemma":0.001141096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002226442,"about_ca_topic_score_gemma":0.003380996,"domain_scores_codex":[0.9992375,0.00009105954,0.00004886605,0.0002830029,0.0002186168,0.0001209659],"domain_scores_gemma":[0.9992993,0.00007120396,0.00005083964,0.0002156832,0.0002482415,0.0001147361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005806473,0.000132808,0.002914601,0.0006877796,0.00008770335,0.0004084287,0.0002869181,0.002711609,0.01363906,0.01889059,0.3191217,0.6405382],"study_design_scores_gemma":[0.00006280166,0.00009042161,0.001700096,0.0001472845,0.0000491649,0.0006066156,0.0001740423,0.01256317,0.008773915,0.01015479,0.9656308,0.00004691692],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02017215,0.004562076,0.3166424,0.002957535,0.00516713,0.0006097606,0.02675659,0.09002078,0.5331116],"genre_scores_gemma":[0.1629747,0.003385053,0.2819787,0.004537739,0.001401148,0.0008251886,0.09087222,0.01214982,0.4418754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1532532,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070621549785252,"score_gpt":0.236134222616252,"score_spread":0.2254280071183995,"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."}}