{"id":"W2036872036","doi":"10.3390/s130708750","title":"Multi-View Human Activity Recognition in Distributed Camera Sensor Networks","year":2013,"lang":"en","type":"article","venue":"Sensors","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Activity recognition; Computer science; Smart camera; Artificial intelligence; Wireless sensor network; Computer vision; Distributed computing; Real-time computing; Computer network","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":[0.001052982,0.0006811279,0.001091739,0.0007559609,0.0002927699,0.0005319625,0.001186329,0.0006512959,0.0004246756],"category_scores_gemma":[0.002374515,0.0003747041,0.00045926,0.0008111132,0.0005153553,0.001050366,0.0006381597,0.0007342572,0.0001880965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005648219,"about_ca_system_score_gemma":0.0004146047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005984155,"about_ca_topic_score_gemma":0.004900364,"domain_scores_codex":[0.9992012,0.0002428148,0.0000324562,0.0002740244,0.0001757317,0.000073856],"domain_scores_gemma":[0.999103,0.0003868609,0.0001590477,0.0001230187,0.0001549691,0.00007319064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004041923,0.0002297505,0.002726199,0.00007461476,0.00008473259,0.000168566,0.0001204281,0.7533903,0.008962195,0.002659199,0.001689436,0.2294903],"study_design_scores_gemma":[0.000006350499,0.00001693048,0.0004831521,0.000001497152,0.000002561638,0.00002113462,0.00001416454,0.9975626,0.0007723905,0.0009961725,0.0001202184,0.0000028234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07755543,0.0005178915,0.9201734,0.0001876616,0.00004889544,0.00005460536,0.00008272162,0.0005770978,0.0008022889],"genre_scores_gemma":[0.8789179,0.0003469692,0.1187078,0.00007965601,0.0000897541,0.00009264206,0.0003393078,0.00002989198,0.001396047],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005984155,"threshold_uncertainty_score":0.01189864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04845155648201575,"score_gpt":0.3046635040526914,"score_spread":0.2562119475706756,"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."}}