{"id":"W2525851376","doi":"10.1145/2973750.2973777","title":"LEO","year":2016,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Resource (disambiguation); Distributed computing; Visibility; Resource management (computing); Inference; Real-time computing; Computer network; 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":[0.0009552126,0.001016428,0.000654212,0.001587596,0.001216469,0.004895595,0.002001033,0.001671827,0.5539088],"category_scores_gemma":[0.003540072,0.0004701389,0.0005993079,0.001220757,0.0004388255,0.003578597,0.003349973,0.001261221,0.4545114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008584188,"about_ca_system_score_gemma":0.00137968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002067273,"about_ca_topic_score_gemma":0.002721173,"domain_scores_codex":[0.9992187,0.0001033477,0.00005228133,0.0001682876,0.0003280416,0.0001293006],"domain_scores_gemma":[0.9979785,0.0002261567,0.00009032816,0.0006233731,0.0007242525,0.0003573451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003836094,0.0001236543,0.0008215661,0.0004506392,0.000025438,0.0002440059,0.0001721539,0.0005054603,0.00502611,0.0206758,0.6897293,0.2818423],"study_design_scores_gemma":[0.00002691798,0.00002669231,0.0003307612,0.00005924049,0.000007596882,0.0001137129,0.00004773345,0.0007680043,0.001248894,0.002821778,0.9945339,0.00001473609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00384862,0.001552184,0.04832802,0.003095383,0.002929493,0.0005361228,0.02174412,0.04825251,0.8697135],"genre_scores_gemma":[0.02903794,0.001419553,0.02223686,0.002234868,0.0008570744,0.0004558465,0.04005476,0.009390504,0.8943127],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5539088,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.021202633853949,"score_gpt":0.226282075869755,"score_spread":0.205079442015806,"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."}}