{"id":"W1985042097","doi":"10.4018/jmdem.2011040101","title":"A Real-Time 3D Visualization Framework for Multimedia Data Management, Simulation, and Prediction","year":2011,"lang":"en","type":"article","venue":"International Journal of Multimedia Data Engineering and Management","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Alberta; University of Alberta","funders":"","keywords":"Geospatial analysis; Computer science; Visualization; Geographic information system; Data science; Data visualization; Geovisualization; Event (particle physics); Data mining; Information visualization; Cartography; Geography","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":[0.0005525329,0.0001609445,0.0002254431,0.0003493273,0.00003001495,0.00005540936,0.0006658476,0.00005627998,0.00003011969],"category_scores_gemma":[0.0003642342,0.0001550039,0.00002797897,0.0000938139,0.00003012727,0.0007193486,0.0007326631,0.00009545394,0.00000493778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004751673,"about_ca_system_score_gemma":0.00001449334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007417593,"about_ca_topic_score_gemma":7.170013e-7,"domain_scores_codex":[0.998562,0.0000178855,0.0004808693,0.0003573661,0.0004283173,0.0001535873],"domain_scores_gemma":[0.9985548,0.0001689584,0.0002365222,0.0006719576,0.00020619,0.0001615574],"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":[0.003722117,0.002184324,0.01782416,0.003378275,0.01477185,0.001250829,0.002198913,0.01451146,0.0008928785,0.008302948,0.03540371,0.8955585],"study_design_scores_gemma":[0.002296044,0.00008064348,0.04196459,0.0004687748,0.0003508627,0.00003244867,0.00005124665,0.92914,0.00001430661,0.00009434597,0.02536867,0.0001380592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005325845,0.0003437554,0.989675,0.0001964652,0.001189986,0.000834334,0.002053949,0.0001349935,0.0002456886],"genre_scores_gemma":[0.06770364,0.005018342,0.9208631,0.00009581435,0.0005814075,0.00002012739,0.005567918,0.00004735765,0.0001023174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9146286,"threshold_uncertainty_score":0.6320874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0459136978597085,"score_gpt":0.3332574645773859,"score_spread":0.2873437667176774,"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."}}