{"id":"W2161086867","doi":"10.1109/hicss.2003.1174352","title":"Storage model for CDA documents","year":2003,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Relational database; XML; Information retrieval; Object (grammar); Markup language; Semantics (computer science); Database; Programming language; World Wide Web; Artificial intelligence","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":[0.00444047,0.0007167531,0.001054969,0.003571909,0.002328451,0.01457979,0.004769406,0.002590274,0.01283374],"category_scores_gemma":[0.01138144,0.0007984738,0.001802551,0.005309696,0.001935007,0.01286614,0.003456765,0.001591213,0.0093443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003947,"about_ca_system_score_gemma":0.004376459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029678,"about_ca_topic_score_gemma":0.006164684,"domain_scores_codex":[0.9959527,0.0007375485,0.0009052646,0.0006797071,0.001338141,0.0003865312],"domain_scores_gemma":[0.9902462,0.00228463,0.0007223804,0.003570489,0.002800327,0.0003760466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004236957,0.0001376654,0.001850089,0.0005122763,0.00006739738,0.0007416205,0.001392687,0.05749379,0.005344839,0.8252395,0.02402571,0.08277071],"study_design_scores_gemma":[0.0001635992,0.0002603787,0.0007368576,0.0003380221,0.0001414738,0.001576671,0.0008362218,0.3342573,0.01372642,0.3519797,0.2958175,0.0001659984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01834503,0.001441116,0.9344622,0.002619945,0.0004442099,0.0007036282,0.004547838,0.006396809,0.03103907],"genre_scores_gemma":[0.2896087,0.002954475,0.6275673,0.001242027,0.0004326915,0.001777885,0.01144363,0.001272073,0.06370124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01457979,"threshold_uncertainty_score":0.04293317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3290707892117126,"score_gpt":0.4747626801016447,"score_spread":0.1456918908899322,"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."}}