{"id":"W2145378194","doi":"10.1109/hicss.2006.256","title":"Lookahead Cascade for Table Access on Small Devices","year":2006,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Table (database); Mobile device; Column (typography); Data access; Cascade; Wireless; The Internet; Representation (politics); Web application; Simple (philosophy); Computer network; Database; World Wide Web; Telecommunications","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":[0.0005702603,0.0005031046,0.0005229479,0.0005946007,0.0003761338,0.0008079831,0.0008819989,0.0003656709,0.01271639],"category_scores_gemma":[0.005729703,0.0003586148,0.0002975102,0.0008079431,0.0003331323,0.002419561,0.0009700851,0.0005266043,0.001504957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002904534,"about_ca_system_score_gemma":0.0006146943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003221033,"about_ca_topic_score_gemma":0.005575633,"domain_scores_codex":[0.9995989,0.00008531369,0.00003464359,0.00008007496,0.000147719,0.00005330572],"domain_scores_gemma":[0.9966366,0.001923422,0.0001902002,0.0007877944,0.0002927839,0.0001691492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003758241,0.0003416173,0.004519984,0.0003816385,0.00005172578,0.0009261783,0.0008258126,0.01473651,0.08582788,0.007330594,0.01920602,0.8620937],"study_design_scores_gemma":[0.0005082907,0.002884701,0.01697406,0.0001820544,0.0002005543,0.002260327,0.001142804,0.7147679,0.1808334,0.0221792,0.05777645,0.0002902096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3766667,0.001237134,0.5704142,0.0005650677,0.0002093512,0.0005102708,0.001680595,0.03718039,0.01153631],"genre_scores_gemma":[0.7292529,0.0004509578,0.2610461,0.0001537998,0.00005957461,0.0001821963,0.001023577,0.0004201397,0.007410873],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01271639,"threshold_uncertainty_score":0.04254055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04024150784100254,"score_gpt":0.2864256307623424,"score_spread":0.2461841229213398,"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."}}