{"id":"W2407293509","doi":"10.1145/2858036.2858063","title":"The Effect of Visual Appearance on the Performance of Continuous Sliders and Visual Analogue Scales","year":2016,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Slider; Computer science; Range (aeronautics); Scale (ratio); Line (geometry); Computer vision; Artificial intelligence; Mathematics; Mechanical engineering; Engineering; Geometry; Physics","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":[0.0008446632,0.0001064588,0.0001715797,0.00003175063,0.0001828129,0.00004592519,0.0003004901,0.00003148147,0.000001311343],"category_scores_gemma":[0.00009879701,0.00003983704,0.00005018342,0.0001395228,0.0003385647,0.00009427695,0.0001011938,0.00006215867,0.000005628965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006984214,"about_ca_system_score_gemma":0.00001182977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001887512,"about_ca_topic_score_gemma":0.000009187497,"domain_scores_codex":[0.999068,0.000152935,0.0001907921,0.0001885084,0.0002088239,0.0001909836],"domain_scores_gemma":[0.9984965,0.00103828,0.0001122378,0.0002770978,0.00004395698,0.00003193166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002218076,0.00005536895,0.06234397,0.0001094379,0.00007660862,0.00000325561,0.0004524807,0.00008420847,0.09134042,0.01114514,0.0005240781,0.8336432],"study_design_scores_gemma":[0.001013158,0.003347816,0.05352479,0.0005989148,0.00001421105,0.00002382919,0.0001253483,0.06980535,0.8708547,0.00008089438,0.0003669542,0.0002440349],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889374,0.0001377744,0.009725183,0.0005462556,0.00008610629,0.0001302565,3.74101e-7,0.00002945576,0.000407213],"genre_scores_gemma":[0.9996867,0.00003767617,0.00006176277,0.00004931936,0.00002061038,0.000004420281,4.884417e-8,0.000004780799,0.0001346632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8333992,"threshold_uncertainty_score":0.1624507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004172709810571497,"score_gpt":0.2210454225396931,"score_spread":0.2168727127291216,"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."}}