{"id":"W1998079760","doi":"10.1145/1082983.1083112","title":"HCI pattern semantics in XML","year":2005,"lang":"en","type":"article","venue":"ACM SIGSOFT Software Engineering Notes","topic":"Software Engineering and Design Patterns","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Software design pattern; Usability; Human–computer interaction; User interface; World Wide Web; XML; Focus (optics); Software engineering; Interface (matter); Software; Programming language","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005494098,0.0003052782,0.0003155214,0.0003070794,0.0001483748,0.0001073391,0.0006822049,0.0002409558,0.0001674423],"category_scores_gemma":[0.07523641,0.0003516166,0.0001110079,0.000537393,0.00005747254,0.0003344634,0.0001221922,0.0004001838,0.0002276909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320444,"about_ca_system_score_gemma":0.00008715753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008206224,"about_ca_topic_score_gemma":0.000558889,"domain_scores_codex":[0.997905,0.00005268963,0.0003721923,0.0003973783,0.0004674192,0.000805301],"domain_scores_gemma":[0.9791148,0.01997325,0.00005927484,0.0005559528,0.0000686354,0.0002280964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004382805,0.00007971123,0.9333054,0.000069674,0.00002315572,0.00004746731,0.005077549,0.01212645,0.0001994177,0.0003034779,0.0005990716,0.04816421],"study_design_scores_gemma":[0.001763085,0.0001305925,0.8271191,0.000789386,0.00006704174,0.00002595444,0.0004305713,0.001812658,0.003039216,0.0001507304,0.1619939,0.002677748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.895604,0.000890468,0.0972388,0.001682653,0.001270344,0.0004024088,0.00002376199,0.00284246,0.0000451528],"genre_scores_gemma":[0.9805131,0.00007401463,0.01805004,0.0002514881,0.0007946365,0.00004245953,0.00001318787,0.00007732753,0.000183749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1613948,"threshold_uncertainty_score":0.9998936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248109635837661,"score_gpt":0.279582524843935,"score_spread":0.2571014284855584,"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."}}