{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006717399,0.00006995371,0.000108197,0.00004780366,0.00006377474,0.0002754985,0.0008104481,0.00003266777,0.00002909878],"category_scores_gemma":[0.00004119007,0.00004360403,0.0000349191,0.0002814536,0.0001478597,0.000346289,0.0003096551,0.0001393928,0.000006569969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004678143,"about_ca_system_score_gemma":0.00002598935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006561764,"about_ca_topic_score_gemma":0.0006238785,"domain_scores_codex":[0.9992478,0.00004815101,0.0001587324,0.0002647678,0.0001537422,0.0001268271],"domain_scores_gemma":[0.998893,0.00009560253,0.00003623055,0.0008495568,0.00006646458,0.00005915072],"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":[0.000003902905,0.0001981651,0.119709,0.00008182724,0.00009102065,0.000002149293,0.00571375,0.00004972436,0.01475028,0.151827,0.0009461873,0.706627],"study_design_scores_gemma":[0.0009114316,0.000242669,0.2930011,0.0001208249,0.0001451143,0.00009274777,0.004417314,0.5108185,0.0980814,0.008904096,0.08200718,0.0012576],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372334,0.0001484071,0.159728,0.002351473,0.00009513718,0.0001279163,0.000006019628,0.00004935202,0.0002602509],"genre_scores_gemma":[0.986059,0.00003646506,0.01314321,0.0000948188,0.00002959094,0.00001523015,0.000005262562,0.000002620785,0.0006138806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7053694,"threshold_uncertainty_score":0.2656639,"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."}}