{"id":"W2057310371","doi":"10.1109/cidm.2013.6597220","title":"Discovery of topological relations for spatial Activity Recognition","year":2013,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Exploit; Computer science; Activity recognition; Wearable computer; Ubiquitous computing; Machine learning; Artificial intelligence; Human–computer interaction; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006645798,0.0000338297,0.00005004152,0.00002790984,0.00003437704,0.0000803633,0.0001823521,0.00001826369,0.00008129135],"category_scores_gemma":[0.00002982878,0.0000255098,0.00003014277,0.00006488975,0.00001792332,0.001601272,0.0001102634,0.00002133535,0.00006145806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005166856,"about_ca_system_score_gemma":0.000005598454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001904449,"about_ca_topic_score_gemma":0.00001377404,"domain_scores_codex":[0.9996687,0.00001174141,0.00006909259,0.0001182907,0.00005969507,0.00007255221],"domain_scores_gemma":[0.9997079,0.00006961457,0.00003441425,0.0001463895,0.00002990838,0.00001182383],"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":[0.000004420877,0.0001885976,0.0008754315,0.00001226521,0.0000171738,3.166979e-7,0.00003798784,0.000004070607,0.001591034,0.1291913,0.009807806,0.8582696],"study_design_scores_gemma":[0.00114733,0.0005867533,0.2439303,0.00001953167,0.00002500496,0.000001522608,0.00006338585,0.3919769,0.02802907,0.3311056,0.002669266,0.0004453058],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0588234,9.99701e-7,0.934604,0.001088416,0.0001216206,0.0001961961,0.000008101112,0.00003672055,0.005120544],"genre_scores_gemma":[0.9047892,0.000001455334,0.0930156,0.00005534372,0.00003236399,0.00003268015,0.00001517217,0.000001160848,0.00205699],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8578243,"threshold_uncertainty_score":0.1160883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751113440578365,"score_gpt":0.2561704451345515,"score_spread":0.2186593107287678,"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."}}