{"id":"W2061834800","doi":"10.46298/jips.663","title":"An empirical study on the user's context in mobile videoconferencing devices","year":2015,"lang":"en","type":"article","venue":"Journal d Interaction Personne-Système","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal","keywords":"Videoconferencing; Context (archaeology); Computer science; Mobile device; Empirical research; Multimedia; Human–computer interaction; World Wide Web; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002502088,0.0002841625,0.0004160609,0.000482923,0.0002980732,0.001386728,0.001013292,0.00009991294,0.0001361378],"category_scores_gemma":[0.0003719969,0.0002003478,0.0001535617,0.0005180662,0.00002867041,0.003246787,0.0001155756,0.001003371,0.0004317615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001174978,"about_ca_system_score_gemma":0.0003492631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004280825,"about_ca_topic_score_gemma":0.001457837,"domain_scores_codex":[0.995997,0.001572829,0.0007331414,0.0005032599,0.0008142075,0.0003796078],"domain_scores_gemma":[0.9972172,0.000768705,0.0005395155,0.0005929114,0.0005430325,0.0003386822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000897872,0.007605749,0.3436007,0.00004499709,0.0006133933,0.00127191,0.3883693,0.001481524,0.002595367,0.0008222913,0.03109603,0.2216008],"study_design_scores_gemma":[0.006343541,0.008816798,0.1046617,0.001144075,0.00006899348,0.005061931,0.7036666,0.1003107,0.001206341,0.001208244,0.06595898,0.001552127],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766289,0.00007596939,0.01600931,0.002591304,0.002330749,0.0007285731,0.000002665852,0.000120781,0.001511766],"genre_scores_gemma":[0.9979654,0.000002831359,0.00008315834,0.00116633,0.0005039856,0.0001288694,0.000001025059,0.00002130921,0.0001270877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3152972,"threshold_uncertainty_score":0.9996499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143169438527237,"score_gpt":0.3629810270403239,"score_spread":0.2486640831876001,"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."}}