{"id":"W2018388187","doi":"10.1145/2674396.2674405","title":"Gesture recognition in smart home using passive RFID technology","year":2014,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Gesture; Computer science; Gesture recognition; Home automation; Speech recognition; Artificial intelligence; Telecommunications","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":[0.0002924452,0.0001272585,0.000201563,0.0004674842,0.0000589935,0.00007772017,0.0003642581,0.0002049067,0.0000213907],"category_scores_gemma":[0.00008246553,0.0001099536,0.0000359357,0.0009320674,0.0000328342,0.0003245237,0.000117771,0.0001957893,0.0003509604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005187011,"about_ca_system_score_gemma":0.00003576661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003500775,"about_ca_topic_score_gemma":0.0001066033,"domain_scores_codex":[0.998826,0.0001167374,0.0002518792,0.0003705232,0.0001651952,0.0002696468],"domain_scores_gemma":[0.9992933,0.00008109601,0.00009036742,0.0003472506,0.0001297128,0.00005824876],"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":[0.000008675271,0.000171565,0.01961553,0.00006413633,0.00003160592,0.00006307173,0.0007451515,0.00005132451,0.009946085,0.03797864,0.000727139,0.9305971],"study_design_scores_gemma":[0.009260507,0.001173198,0.07138254,0.001709312,0.00006234494,0.002635379,0.00144723,0.1974569,0.08821877,0.5236598,0.09843038,0.004563713],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.280405,0.00005449452,0.7029919,0.002833422,0.0008240532,0.0002960984,0.000001995232,0.0004728041,0.01212021],"genre_scores_gemma":[0.9669869,0.000005482763,0.0323463,0.0004112933,0.00009838239,0.00002524602,0.000003409847,0.000008679041,0.0001143206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9260334,"threshold_uncertainty_score":0.4511003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975205656390573,"score_gpt":0.2368658596184111,"score_spread":0.2171138030545054,"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."}}