{"id":"W2080753128","doi":"10.1109/aire.2014.6894855","title":"A case study of applying data mining to sensor data for contextual requirements analysis","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Unobservable; Computer science; Context (archaeology); Contextual design; Context model; Requirements engineering; Mobile computing; Data mining; Mobile device; Data science; Context awareness; Artificial intelligence; World Wide Web; Geography","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":[0.0008111298,0.00007736751,0.00020145,0.0001353969,0.0001152723,0.00007310485,0.002357985,0.00001604204,0.000007323089],"category_scores_gemma":[0.0001032605,0.00006800408,0.00002063017,0.0006628186,0.000009419095,0.0003483272,0.002092765,0.0000217985,0.000006130486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006026246,"about_ca_system_score_gemma":0.00001937175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007181485,"about_ca_topic_score_gemma":0.001600847,"domain_scores_codex":[0.9986653,0.00004358315,0.0002989842,0.0006660898,0.0001779925,0.0001480196],"domain_scores_gemma":[0.9948123,0.000249481,0.00009229078,0.004687827,0.00007996988,0.00007809268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003165347,0.003072846,0.03480488,0.00008003198,0.00290986,0.0001097746,0.01092046,0.001405876,0.004367388,0.01465756,0.02732688,0.9003128],"study_design_scores_gemma":[0.0005831799,0.0001594467,0.0002384561,0.000003465516,0.0002956748,0.00002238351,0.004436032,0.9859475,0.0000710725,0.00001839035,0.008076066,0.0001482868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867736,0.000001644024,0.8120065,0.00009182876,0.00002040485,0.0007921976,0.00007286925,0.00003333676,0.0002076532],"genre_scores_gemma":[0.856957,1.759328e-7,0.1425463,0.0001559517,0.00002590202,0.0001510718,0.00008470737,0.000003789995,0.00007507914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845417,"threshold_uncertainty_score":0.4381762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2099301581454019,"score_gpt":0.3889877563059536,"score_spread":0.1790575981605517,"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."}}