{"id":"W2088342269","doi":"10.1145/1923947.1924015","title":"Building smarter web applications with HTML5","year":2010,"lang":"en","type":"article","venue":"","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"HTML5; Computer science; Flexibility (engineering); World Wide Web; Web application; Point (geometry); Web modeling; Web service","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":[0.00006791067,0.0000644817,0.00005188412,0.00004422831,0.0001196568,0.0001050664,0.0005851165,0.0000312199,0.00007895518],"category_scores_gemma":[0.00000145724,0.0000474172,0.00001895533,0.0002950514,0.000032628,0.0001884728,0.00008064057,0.0001160249,0.0002634839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000040721,"about_ca_system_score_gemma":0.00004933514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001103083,"about_ca_topic_score_gemma":0.00008071121,"domain_scores_codex":[0.999427,0.000004384599,0.00008425379,0.0002455303,0.0001008081,0.0001380427],"domain_scores_gemma":[0.9990801,0.00003344986,0.00002654416,0.0007344448,0.00004889501,0.00007654492],"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":[2.105235e-7,0.00002979565,0.0005472527,0.000001270971,0.000003081281,2.626182e-7,0.00001594293,0.000002990713,0.02361606,0.9427952,0.001446013,0.03154194],"study_design_scores_gemma":[0.0001995157,0.00002568288,0.002613145,0.000002212553,0.000005410875,0.00003207384,0.000006293112,0.01652677,0.009070147,0.01425134,0.9570568,0.0002105834],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009341538,0.000003156601,0.9446175,0.001585291,0.00003616533,0.0002327142,8.012873e-7,0.0002375978,0.0439453],"genre_scores_gemma":[0.6357757,0.000001114314,0.3626853,0.0004062291,0.00006707024,0.0004234797,8.343674e-7,0.000004436837,0.0006357763],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9556108,"threshold_uncertainty_score":0.338664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005702088688518813,"score_gpt":0.2306821985417695,"score_spread":0.2249801098532506,"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."}}