{"id":"W4224260518","doi":"10.3390/s22082829","title":"LIPSHOK: LIARA Portable Smart Home Kit","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Home automation; Variety (cybernetics); Modular design; Context (archaeology); Embedded system; Implementation; Computer science; Architecture; Cover (algebra); Systems engineering; Engineering; Software engineering; Telecommunications; Operating system; Artificial intelligence","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":[0.0003797185,0.001415862,0.0007030295,0.001026044,0.0004762466,0.001289389,0.001834688,0.001147355,0.04472388],"category_scores_gemma":[0.0009783068,0.0006042445,0.0005421297,0.0005761939,0.0005316746,0.002939928,0.002712757,0.001035775,0.03518454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000468127,"about_ca_system_score_gemma":0.0005737219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006627527,"about_ca_topic_score_gemma":0.0008574348,"domain_scores_codex":[0.9993091,0.00007907958,0.00003972172,0.0001349921,0.00031228,0.0001249149],"domain_scores_gemma":[0.9994577,0.00006616022,0.00006148606,0.0001136667,0.0001882785,0.0001128439],"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":[0.00122392,0.0005241854,0.003498369,0.002229834,0.00009348006,0.001854843,0.001766342,0.002202085,0.08141485,0.02654532,0.2056599,0.6729869],"study_design_scores_gemma":[0.0001498332,0.0009775653,0.004397024,0.0003802491,0.0001263127,0.0031818,0.000647358,0.01261476,0.03963427,0.00456874,0.9331113,0.0002107924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08849701,0.002792669,0.4351745,0.00135065,0.000733382,0.001890093,0.003714528,0.1508584,0.3149889],"genre_scores_gemma":[0.3741598,0.001861315,0.2285263,0.00180194,0.000194019,0.001677931,0.008105416,0.005645508,0.3780278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04472388,"threshold_uncertainty_score":0.1496162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01962379691736156,"score_gpt":0.2225571053647789,"score_spread":0.2029333084474174,"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."}}