{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007717608,0.0006446771,0.0002532798,0.0005199971,0.0003088426,0.001638738,0.0009303267,0.001002383,0.01105091],"category_scores_gemma":[0.002108569,0.0004766361,0.0005924045,0.0004197755,0.0004174427,0.003201843,0.00169034,0.001008858,0.007871011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282482,"about_ca_system_score_gemma":0.0002676928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007972593,"about_ca_topic_score_gemma":0.001352936,"domain_scores_codex":[0.9995052,0.00009322481,0.00003431227,0.00008132577,0.0002254547,0.00006053961],"domain_scores_gemma":[0.9992298,0.0002172007,0.00004490225,0.0002720164,0.0001592064,0.00007678021],"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":[0.0002992148,0.000910702,0.00586769,0.0009573155,0.0001532161,0.001272829,0.001340125,0.02019095,0.2051226,0.04761638,0.04366857,0.6726003],"study_design_scores_gemma":[0.0001274521,0.0005094038,0.009839436,0.000310138,0.0002202886,0.001044005,0.000534855,0.1638539,0.2591462,0.03924983,0.5249797,0.0001848111],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1498706,0.001393276,0.6899993,0.001056181,0.000464997,0.0005443934,0.0006203635,0.05963906,0.09641184],"genre_scores_gemma":[0.4642691,0.001740376,0.4704548,0.001305539,0.0001488667,0.0002516849,0.002405785,0.003906339,0.05551753],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01105091,"threshold_uncertainty_score":0.03696895,"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."}}