{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003465071,0.0003756188,0.0004941532,0.0003769777,0.0001649448,0.0005430171,0.0004645076,0.0004831209,0.000817396],"category_scores_gemma":[0.0007605082,0.000183586,0.0003557717,0.000320565,0.0005368758,0.001056197,0.0003707943,0.0002555501,0.0006343941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525628,"about_ca_system_score_gemma":0.0001974584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008407343,"about_ca_topic_score_gemma":0.0008175669,"domain_scores_codex":[0.9996358,0.00007552873,0.00002832122,0.0001021345,0.000128138,0.00003004016],"domain_scores_gemma":[0.9998135,0.00006965193,0.0000257566,0.00003819669,0.00004305047,0.000009890394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003776914,0.00009884603,0.003549293,0.0003237458,0.00005405433,0.0005685274,0.0002434036,0.04400228,0.3913505,0.01356731,0.00212314,0.5437412],"study_design_scores_gemma":[0.00005458368,0.0005202412,0.0067085,0.00005420469,0.00008589659,0.00182151,0.0001297328,0.6801543,0.2864418,0.008878394,0.0150619,0.00008890344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05472025,0.0007343771,0.9400494,0.000139084,0.00008870414,0.00003322113,0.00003641549,0.001674305,0.002524198],"genre_scores_gemma":[0.6314473,0.001018056,0.3595511,0.0001764198,0.00007384393,0.00007287505,0.0001528663,0.00008260339,0.007424938],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008407343,"threshold_uncertainty_score":0.002734423,"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."}}