{"id":"W2078886133","doi":"10.1145/1866218.1866249","title":"What can internet search engines \"suggest\" about the usage and usability of popular desktop applications?","year":2010,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Usability; Computer science; The Internet; World Wide Web; Search engine; Raw data; Software; Web search query; Information retrieval; Database; Human–computer interaction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007901469,0.000513353,0.0008999663,0.007667841,0.0006905618,0.005826204,0.0009919538,0.002619286,0.002006737],"category_scores_gemma":[0.08791937,0.0004304849,0.0007141022,0.006847032,0.002089393,0.00934854,0.0007938165,0.001702707,0.001032332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186241,"about_ca_system_score_gemma":0.0006630546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007170918,"about_ca_topic_score_gemma":0.009174883,"domain_scores_codex":[0.9953832,0.001944656,0.000471564,0.0006934039,0.001274722,0.0002323712],"domain_scores_gemma":[0.9173187,0.05857278,0.01106247,0.004188107,0.007836819,0.001021218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004650655,0.0003210637,0.8900353,0.0007389083,0.0003721411,0.000146877,0.00450987,0.001438803,0.001213883,0.004077142,0.00507614,0.09160466],"study_design_scores_gemma":[0.00004934343,0.0003622173,0.9378468,0.0003818473,0.0002542746,0.0005364872,0.0103375,0.01619671,0.001381361,0.02327907,0.009192896,0.0001815551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507983,0.003795897,0.01283048,0.009720803,0.00008553368,0.000137509,0.004201436,0.0003208699,0.01810925],"genre_scores_gemma":[0.9919383,0.0009651819,0.003737298,0.0008872333,0.0001498643,0.00008394659,0.001751667,0.00004132395,0.0004451603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007901469,"threshold_uncertainty_score":0.04178751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027528574803553,"score_gpt":0.2773071758119905,"score_spread":0.257031890063955,"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."}}