{"id":"W2258956855","doi":"10.1007/978-3-642-22688-5_30","title":"Trace of Objects to Retrieve Prediction Patterns of Activities in Smart Homes","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"TRACE (psycholinguistics); Computer science; Tracing; Realization (probability); Home automation; Smart environment; Human–computer interaction; Activities of daily living; Artificial intelligence; Data science; Computer security; Telecommunications; Internet of Things; Psychology; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00103629,0.0004218259,0.0008556735,0.001772432,0.00005635007,0.000107419,0.001973631,0.0003197746,0.00002083732],"category_scores_gemma":[0.0001394595,0.0004229038,0.0001473908,0.0008780585,0.0002896815,0.0009125026,0.0008350026,0.0005512472,0.000008048443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002614207,"about_ca_system_score_gemma":0.0004852689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003400312,"about_ca_topic_score_gemma":0.001064335,"domain_scores_codex":[0.9964746,0.00008629842,0.0008323011,0.001151163,0.0009986989,0.0004569805],"domain_scores_gemma":[0.9971282,0.0007161077,0.0005805641,0.001139429,0.0003037078,0.0001319372],"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":[0.00005263388,0.0001534032,0.009638717,0.0003357671,0.00003494937,0.00004780031,0.01307315,0.001309727,0.002183351,0.00181429,0.00001335082,0.9713429],"study_design_scores_gemma":[0.005181367,0.007557078,0.1348135,0.02703161,0.0001130282,0.000683507,0.00006076785,0.1273964,0.5398659,0.1477882,0.00258703,0.006921633],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01719364,0.0001737551,0.9786516,0.0001118259,0.001554467,0.0006362556,0.00004813605,0.00007582546,0.001554487],"genre_scores_gemma":[0.9838818,0.00002660899,0.01562511,0.0001251175,0.000114856,0.0000154652,0.000002652081,0.00002385512,0.0001845268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9666882,"threshold_uncertainty_score":0.9998223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02609260488034353,"score_gpt":0.2368338046722592,"score_spread":0.2107411997919156,"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."}}