{"id":"W2139440051","doi":"10.1109/vecims.2011.6053832","title":"Bringing virtual events into real life in Second Life home automation system","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Home automation; Event (particle physics); Computer science; Automation; Human–computer interaction; Bridge (graph theory); Interface (matter); Embedded system; Living space; Engineering; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.001264859,0.0001236238,0.0002168839,0.0002032132,0.00006710271,0.00006159511,0.0005226408,0.00007095687,0.00004258975],"category_scores_gemma":[0.00007832402,0.0001162841,0.00004724733,0.0003788356,0.00001241133,0.0006787,0.0001727226,0.000111908,0.0001145619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007411186,"about_ca_system_score_gemma":0.00009964154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007186575,"about_ca_topic_score_gemma":0.0002889568,"domain_scores_codex":[0.998595,0.0002213735,0.0003648266,0.0003387429,0.0002176394,0.0002623929],"domain_scores_gemma":[0.9992133,0.00009687473,0.0001036276,0.000403186,0.00004279827,0.0001402148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004503258,0.0002491314,0.5307737,0.0004282873,0.0001089269,0.000116648,0.0229918,0.0003751354,0.0009076129,0.3141472,0.0005286339,0.1293279],"study_design_scores_gemma":[0.0005383319,0.00009944494,0.8741246,0.0001015813,0.000002381169,0.00001218224,0.000283375,0.1225925,0.0006935903,0.001214508,0.0000496191,0.0002878928],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5862634,0.00001768119,0.4040224,0.00003822026,0.00052523,0.00008526658,3.596038e-7,0.0003778706,0.00866959],"genre_scores_gemma":[0.9458635,0.000003376071,0.05376976,0.0001393656,0.00005938683,0.00001004924,8.96013e-7,0.000009098211,0.0001446093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3596001,"threshold_uncertainty_score":0.474193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120757000992056,"score_gpt":0.2648484924781861,"score_spread":0.2336409224682656,"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."}}