{"id":"W2565231174","doi":"","title":"Qualitative RFID Tracking for ADL Recognition","year":2016,"lang":"en","type":"article","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Université de Sherbrooke","funders":"","keywords":"Computer science; Tracking (education); Embedded system; Artificial intelligence; Psychology","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":[0.000487936,0.0005095876,0.0004252598,0.000936129,0.0004539692,0.001048614,0.0009721312,0.0007147286,0.00264899],"category_scores_gemma":[0.001026944,0.0001937352,0.0003556121,0.0006829714,0.0005465069,0.0009204478,0.0009896717,0.0003828162,0.002377575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608391,"about_ca_system_score_gemma":0.0004055533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002034328,"about_ca_topic_score_gemma":0.003181749,"domain_scores_codex":[0.9993826,0.0001409662,0.00002676649,0.0001478196,0.0002477903,0.00005399121],"domain_scores_gemma":[0.9995377,0.0001258185,0.00005155139,0.00007841152,0.0001820681,0.00002437936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002345733,0.0001362902,0.008285806,0.0006341265,0.00004207943,0.0004182312,0.0007487129,0.01063752,0.3307679,0.01299428,0.003166107,0.6319342],"study_design_scores_gemma":[0.00005466846,0.0007578771,0.02159476,0.0002810444,0.000120062,0.003250436,0.001223422,0.4677215,0.4183766,0.01414313,0.072208,0.0002683911],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01849231,0.0004377931,0.9746144,0.0001489701,0.0001191115,0.00007420494,0.0001129803,0.0007627837,0.005237434],"genre_scores_gemma":[0.5168228,0.0006662781,0.4709171,0.0002725794,0.00006705624,0.0001824291,0.0002771757,0.0000999439,0.01069469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00264899,"threshold_uncertainty_score":0.008861721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439869989637038,"score_gpt":0.2243940562957789,"score_spread":0.1999953563994085,"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."}}