{"id":"W2130930574","doi":"10.1109/wse.2001.988791","title":"Issues in accessing Web sites from mobile devices","year":2001,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Mobile Web; Mobile device; Computer science; World Wide Web; Mobile computing; The Internet; Mobile technology; Mobile database; Multimedia; Internet privacy; Computer network; Mobile station","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":[0.0384835,0.0006698013,0.001058445,0.003644923,0.005605681,0.01524919,0.005127863,0.006985278,0.005162209],"category_scores_gemma":[0.1692359,0.002042325,0.001012571,0.005771084,0.004990534,0.03863529,0.006338546,0.006396614,0.006128117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410155,"about_ca_system_score_gemma":0.001932323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006363489,"about_ca_topic_score_gemma":0.006192066,"domain_scores_codex":[0.9557986,0.01664678,0.005535605,0.002301817,0.01838285,0.001334451],"domain_scores_gemma":[0.7991117,0.1341051,0.01036351,0.01708052,0.03526337,0.004075776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003630404,0.000420286,0.03576965,0.002093705,0.00008070868,0.003152094,0.02949012,0.001684583,0.008692594,0.04559558,0.05604216,0.8166155],"study_design_scores_gemma":[0.0001844398,0.0008604255,0.06642655,0.00495281,0.0002842585,0.03905414,0.06582544,0.02078473,0.01711134,0.1327993,0.6509204,0.0007962356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1941298,0.04387159,0.433172,0.1890017,0.003305064,0.002199463,0.0009828734,0.005669523,0.1276679],"genre_scores_gemma":[0.5262843,0.03402078,0.3690786,0.01486707,0.006000643,0.001041421,0.001246716,0.002669759,0.04479078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0384835,"threshold_uncertainty_score":0.2035226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668999513884405,"score_gpt":0.3035854795641996,"score_spread":0.2768954844253555,"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."}}