{"id":"W2916045436","doi":"10.1145/3251351","title":"Session details: Application track A2: context awareness","year":2009,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Session (web analytics); Track (disk drive); Computer science; Context (archaeology); Context awareness; Multimedia; World Wide Web; Operating system; Geology","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":[0.000113074,0.00006730319,0.0000773364,0.00004779306,0.00007852106,0.0001423035,0.0004515748,0.00003348581,0.00003280099],"category_scores_gemma":[0.00001386531,0.00005471672,0.00002535188,0.0003019442,0.000009779712,0.0004897446,0.00003960497,0.00003402669,0.0002011429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001326754,"about_ca_system_score_gemma":0.00003387339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001100008,"about_ca_topic_score_gemma":0.00001078689,"domain_scores_codex":[0.9993526,0.00002193474,0.0001460325,0.0002177214,0.0001520194,0.0001096535],"domain_scores_gemma":[0.9994266,0.0000173833,0.00004874217,0.0003749563,0.00006843342,0.0000639004],"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":[0.000001577585,0.0001016347,0.00043683,0.000003420681,0.000002275351,0.000001202215,0.0001147215,0.00004731626,0.001189895,0.4908895,0.007153556,0.500058],"study_design_scores_gemma":[0.000399907,0.00007786365,0.004491473,0.00001711917,0.000005557212,0.000006330355,0.00009726144,0.8716068,0.01115182,0.008459155,0.103427,0.0002597721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001805815,0.00002270052,0.9918506,0.001408417,0.00005161068,0.00006774773,0.000001135121,0.0002151134,0.004576884],"genre_scores_gemma":[0.9891406,0.00001330998,0.006357386,0.003372911,0.00002889684,0.000002435597,0.00002269626,0.0000024876,0.001059312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9873347,"threshold_uncertainty_score":0.2585352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03153283561306323,"score_gpt":0.3300389368297955,"score_spread":0.2985061012167323,"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."}}