{"id":"W2952273598","doi":"10.1145/3307772.3328280","title":"ODToolkit","year":2019,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Occupancy; Computer science; Benchmark (surveying); Suite; Data mining; Domain (mathematical analysis); Sensor fusion; Documentation; Code (set theory); Set (abstract data type); Source code; Machine learning; Artificial intelligence; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009978747,0.002268498,0.001134408,0.002340615,0.0007031166,0.002696248,0.004415198,0.001148866,0.07941852],"category_scores_gemma":[0.005188507,0.001467547,0.001811558,0.002634745,0.0007109508,0.003769335,0.006952238,0.001911959,0.08338653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552705,"about_ca_system_score_gemma":0.002313774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01674565,"about_ca_topic_score_gemma":0.02197649,"domain_scores_codex":[0.9989152,0.00008571007,0.00009175497,0.0002614684,0.0004308739,0.0002149566],"domain_scores_gemma":[0.9987732,0.0003198833,0.00009346042,0.0003262997,0.0003809552,0.000106216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009319506,0.0001961291,0.004468912,0.00263053,0.0001137932,0.0003086959,0.0006339764,0.006196434,0.003744855,0.01167602,0.7581785,0.2109203],"study_design_scores_gemma":[0.0002810653,0.00007581821,0.003819756,0.0004606457,0.00005158035,0.0003168663,0.0002161281,0.02486607,0.009318567,0.01914491,0.9412552,0.0001934628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006230104,0.0007378592,0.1210963,0.0003524706,0.000359912,0.0007176508,0.1832415,0.6406334,0.04663085],"genre_scores_gemma":[0.04381398,0.0009044917,0.1617556,0.001022538,0.00009853222,0.002060586,0.5759482,0.1694319,0.04496428],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.07941852,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009384275221235994,"score_gpt":0.2065822768187681,"score_spread":0.1971980015975321,"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."}}