{"id":"W3164963437","doi":"","title":"Human activity recognition system","year":2021,"lang":"en","type":"article","venue":"International journal of advance research, ideas and innovations in technology","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Artificial intelligence; Activity recognition; Task (project management); Search engine indexing; Recall; Analytics; Human–computer interaction; Action recognition; Precision and recall; Cognitive neuroscience of visual object recognition; Object (grammar); Machine learning; Computer vision; Data mining","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":[0.001362548,0.00009168654,0.0002277158,0.002214869,0.0001266269,0.0001610062,0.0007202193,0.0001222472,0.00001037619],"category_scores_gemma":[0.001219183,0.00009541187,0.00004081734,0.002195905,0.0001574638,0.001244416,0.0003885303,0.0007501328,0.00000953293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757563,"about_ca_system_score_gemma":0.0002352584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000282023,"about_ca_topic_score_gemma":0.00007856105,"domain_scores_codex":[0.9981194,0.0001906268,0.0005594179,0.0002609615,0.000647744,0.0002218784],"domain_scores_gemma":[0.9930013,0.000202036,0.0003427247,0.0002570335,0.006154326,0.00004252361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001778733,0.000218821,0.003023196,0.00002616032,0.00007110686,0.0005264218,0.00008828213,0.000009721819,0.03663036,0.183494,0.0002495883,0.7756446],"study_design_scores_gemma":[0.005573924,0.000856321,0.03592025,0.002999435,0.00001383783,0.01345591,0.004658516,0.003600846,0.1846505,0.7052135,0.04221855,0.0008384109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836785,0.0004960727,0.1468995,0.01270785,0.0008171179,0.0001445172,0.00001121512,0.00007799488,0.002060787],"genre_scores_gemma":[0.9908465,0.0001211541,0.008768424,0.00005741713,0.0001108658,0.00001884355,0.000002523616,0.000007196181,0.00006712388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7748062,"threshold_uncertainty_score":0.3890783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0626547085023447,"score_gpt":0.394904936978915,"score_spread":0.3322502284765704,"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."}}