{"id":"W4226490471","doi":"10.1109/jsen.2022.3159205","title":"Smart Indoor Space Simulation Methodologies: A Review","year":2022,"lang":"en","type":"review","venue":"IEEE Sensors Journal","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Taxonomy (biology); Systems engineering; Process (computing); Space (punctuation); TRACE (psycholinguistics); Software engineering; Data science; Engineering","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":[0.005502855,0.0006311393,0.002797183,0.0006379063,0.0004499842,0.0004686931,0.001860846,0.000271288,0.0006196038],"category_scores_gemma":[0.002034237,0.000527493,0.001427708,0.001384816,0.00004508958,0.0007532264,0.000352216,0.002188595,0.0004117122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006014786,"about_ca_system_score_gemma":0.0007940536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001022099,"about_ca_topic_score_gemma":0.000002152789,"domain_scores_codex":[0.9895266,0.006511792,0.001569062,0.0007664058,0.001076699,0.0005494865],"domain_scores_gemma":[0.990353,0.005599942,0.002430436,0.001082919,0.0002648003,0.000268841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001610255,0.00002173767,3.640498e-7,0.007164401,0.0001744921,0.0001978121,0.00007612928,0.00008266802,2.006807e-7,0.00001328862,0.006535831,0.9857315],"study_design_scores_gemma":[0.0001396465,0.00006986357,3.983617e-7,0.02250357,0.0003517042,0.005356937,0.00001405281,0.0005117928,7.282088e-7,0.0001071224,0.9704214,0.0005227984],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.150663e-7,0.8549747,0.1390356,0.0002509355,0.003892066,0.00094078,0.00001695156,0.0001843027,0.0007041336],"genre_scores_gemma":[0.000003362852,0.9891603,0.008838571,0.0003421248,0.0006442496,0.00007497388,0.00000796647,0.00006108967,0.000867359],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9852087,"threshold_uncertainty_score":0.9997177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3340283501462818,"score_gpt":0.4391871316926743,"score_spread":0.1051587815463925,"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."}}