{"id":"W27822636","doi":"10.1007/s10787-016-0295-y","title":"Toward Distributed, Pluggable Tools and Data: Re-Engineering a Data Analysis Architecture","year":2003,"lang":"en","type":"article","venue":"Inflammopharmacology","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Architecture; Computer science; Visualization; Plug-in; Software engineering; Data visualization; Data architecture; Data science; Computer architecture; Reference architecture; Software architecture; Data mining; Programming language; Software","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":[0.0005802095,0.0001653952,0.0002830193,0.0002285046,0.00008459351,0.000288914,0.002339353,0.00007531201,0.000105884],"category_scores_gemma":[0.0003849659,0.0001589142,0.0000292829,0.001202993,0.00004871383,0.001022064,0.001770244,0.0001981954,0.00001967116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093442,"about_ca_system_score_gemma":0.00008722483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074892,"about_ca_topic_score_gemma":0.00002066188,"domain_scores_codex":[0.9983377,0.0001091981,0.0002945217,0.0007529312,0.000172839,0.0003328019],"domain_scores_gemma":[0.9977579,0.0001984237,0.0000933157,0.001742703,0.00004787252,0.000159857],"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":[0.0001061689,0.000885117,0.02305703,0.0006346282,0.01095195,0.0022587,0.002274907,0.2414675,0.0170667,0.3482122,0.2798787,0.07320637],"study_design_scores_gemma":[0.0004923157,0.00001878366,0.0005678362,0.000003945441,0.0003084143,0.00002959849,0.00001637299,0.5895675,0.0004203643,0.0002168697,0.4081213,0.0002366433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002555141,0.0003205344,0.9941195,0.0009821742,0.0002719997,0.0001181312,0.001202809,0.0001552611,0.0002744281],"genre_scores_gemma":[0.8517084,0.0007287965,0.1325869,0.003379161,0.0003427112,0.00002722139,0.01079706,0.00004670659,0.0003831199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8615327,"threshold_uncertainty_score":0.6480334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07907290474975917,"score_gpt":0.3477342711876443,"score_spread":0.2686613664378852,"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."}}