{"id":"W2109716649","doi":"10.1145/1085777.1085860","title":"Using cascade method for table access on small devices","year":2005,"lang":"en","type":"article","venue":"","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Table (database); Cascade; Mobile device; Data access; Web application; The Internet; Column (typography); Internet access; Computer network; Wireless; Database; World Wide Web; Telecommunications; Engineering","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":[0.0005363305,0.00004628597,0.00007901491,0.00006407452,0.0003470468,0.00005756998,0.0005325656,0.0001003985,0.000446383],"category_scores_gemma":[0.0002080071,0.00004102848,0.00002606558,0.0001691914,0.0000582145,0.0001290299,0.00006308935,0.00006944463,0.00002223331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005605457,"about_ca_system_score_gemma":0.00007270162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006083169,"about_ca_topic_score_gemma":0.03736636,"domain_scores_codex":[0.9994484,0.0000877189,0.00009840244,0.0001104956,0.00007404215,0.0001809251],"domain_scores_gemma":[0.9992789,0.0003834102,0.00004915274,0.0001913105,0.00005299862,0.00004424717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001373861,0.0001235247,0.001119583,0.000008334534,0.00002239162,2.049293e-7,0.003001485,0.000234708,0.001060979,0.5741811,0.002711969,0.417522],"study_design_scores_gemma":[0.0001919551,0.000009634767,0.0001052396,0.000005103178,0.00000766725,2.956288e-7,0.00112871,0.02308831,0.006460096,0.001579178,0.9673348,0.00008899964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.04665668,0.0002399223,0.2796004,0.04874974,0.0002910389,0.001003259,0.000006518019,0.0006469742,0.6228054],"genre_scores_gemma":[0.3317865,0.00004294473,0.6608831,0.002457923,0.0001566264,0.00003415985,0.000002145738,0.000007842662,0.004628783],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9646229,"threshold_uncertainty_score":0.9801992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2840929498205679,"score_gpt":0.5108217384502243,"score_spread":0.2267287886296564,"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."}}