{"id":"W2795520152","doi":"10.1145/3173574.3174208","title":"D-SWIME","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs","keywords":"Panning (audio); Smartwatch; Computer science; Zoom; Human–computer interaction; Pace; Mobile device; Multimedia; Embedded system; Wearable computer; World Wide Web; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007694604,0.0001401521,0.000130542,0.00007268535,0.00004929564,0.0001559313,0.001341974,0.0001102171,0.0004229389],"category_scores_gemma":[0.00001691016,0.0001182589,0.0001132668,0.00005666532,0.00002700461,0.0001894122,0.002374672,0.0002436986,0.00255436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003377832,"about_ca_system_score_gemma":0.00008095092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000620257,"about_ca_topic_score_gemma":0.000002744874,"domain_scores_codex":[0.99911,0.00002699715,0.0001155557,0.0004306473,0.0001395843,0.0001771562],"domain_scores_gemma":[0.9988986,0.00002444194,0.00006952238,0.0007680384,0.0001930351,0.00004636831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001146734,0.0001578947,0.0003672548,0.00006829196,0.000222466,0.00004790025,0.001732518,0.00001752893,0.009227131,0.3162669,0.6675802,0.004300374],"study_design_scores_gemma":[0.0007023882,0.0005148745,0.02910942,0.000452632,0.00005969012,0.00006213992,0.0001711592,0.09234943,0.4287378,0.2236941,0.2211467,0.002999701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002254258,0.00002855699,0.6877658,0.0007165559,0.002152479,0.0000886034,0.000002663665,0.00004172596,0.3069494],"genre_scores_gemma":[0.9327868,0.00001931891,0.04480989,0.005348555,0.0007245216,0.00003097923,0.00002370366,0.00001941934,0.01623676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9305326,"threshold_uncertainty_score":0.9982223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206483481191098,"score_gpt":0.283515269602255,"score_spread":0.2628669214831452,"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."}}