{"id":"W2040355224","doi":"10.1111/j.1467-8659.2008.01204.x","title":"Animating Causal Overlays","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Public Safety Canada","keywords":"Causality (physics); Computer science; Perception; Context (archaeology); Visualization; Causal model; Dimension (graph theory); Cognitive psychology; Human–computer interaction; Artificial intelligence; Psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001329456,0.0001450579,0.0001550339,0.0001888349,0.000335036,0.000150314,0.000854789,0.0000569471,0.000008405388],"category_scores_gemma":[0.00001299597,0.0001420126,0.00009059824,0.0007321326,0.00007347096,0.0005852399,0.0005125024,0.0001316574,0.00006835133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001317472,"about_ca_system_score_gemma":0.0000511194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009611949,"about_ca_topic_score_gemma":0.000005794245,"domain_scores_codex":[0.9987319,0.00003691646,0.0002499731,0.0003390472,0.00030359,0.0003385706],"domain_scores_gemma":[0.9990799,0.00005179807,0.00009286294,0.0005515799,0.00009998465,0.0001238332],"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":[6.794453e-7,0.0000559523,0.007253967,0.000008132796,0.00001682782,0.00004876647,0.0002372985,0.00006238892,0.00002180008,0.9539021,0.03519233,0.003199715],"study_design_scores_gemma":[0.0002621887,0.0000822284,0.004321478,0.00001710377,0.000003279497,0.0001200339,0.000006858583,0.9536606,0.00012319,0.005148197,0.03600632,0.0002485283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00482252,0.0000523177,0.992786,0.0005492229,0.0005131263,0.0000624037,0.00000511533,0.0003285918,0.0008806976],"genre_scores_gemma":[0.8730052,0.0001108595,0.1186888,0.007582488,0.0002674189,0.000005035806,0.00004690768,0.00002696931,0.0002663833],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9535982,"threshold_uncertainty_score":0.5791104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289783874801878,"score_gpt":0.2691838588696616,"score_spread":0.2402054713894738,"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."}}