{"id":"W1501450862","doi":"10.1023/a:1013310705258","title":"Graphical Transformation of Multimedia XML Documents","year":2001,"lang":"en","type":"article","venue":"Annals of Software Engineering","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Computer science; Document Structure Description; XML; Markup language; Document type definition; Grammar; Information retrieval; World Wide Web; Natural language processing; Multimedia; Linguistics","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":[0.0006046466,0.0007965895,0.000416129,0.001499093,0.0003985205,0.002066532,0.001002973,0.0006663405,0.01809773],"category_scores_gemma":[0.00333517,0.00039387,0.000936376,0.001165608,0.0004611329,0.001302511,0.001242456,0.0007858154,0.003863074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004554446,"about_ca_system_score_gemma":0.000337358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680611,"about_ca_topic_score_gemma":0.001483658,"domain_scores_codex":[0.9993191,0.0001973996,0.00006882229,0.0001131215,0.0002433321,0.00005819289],"domain_scores_gemma":[0.9985294,0.0007537621,0.00009366976,0.0003296782,0.0002405704,0.00005286243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001894932,0.0004484847,0.001651048,0.001341384,0.0001270502,0.002138024,0.001561094,0.03026192,0.08739473,0.09422605,0.06413765,0.7148176],"study_design_scores_gemma":[0.0004120672,0.0003948502,0.002074213,0.0003682696,0.000230322,0.001331752,0.0005218554,0.3435579,0.287334,0.0750372,0.2885765,0.0001609703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03246315,0.0003413367,0.8757613,0.0005061056,0.0002797645,0.0002729681,0.003256888,0.06947134,0.01764713],"genre_scores_gemma":[0.4399847,0.0008811951,0.5138577,0.0003332542,0.0001297673,0.0003890094,0.01040269,0.0109975,0.02302413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01809773,"threshold_uncertainty_score":0.06054294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04023238285551119,"score_gpt":0.3353042947799362,"score_spread":0.295071911924425,"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."}}