{"id":"W1549014346","doi":"10.1111/j.1756-8765.2011.01148.x","title":"Visual Analytics as a Translational Cognitive Science","year":2011,"lang":"en","type":"article","venue":"Topics in Cognitive Science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Visual analytics; Cognition; Data science; Analytics; Human–computer interaction; Field (mathematics); Cognitive computing; Human-centered computing; Cognitive science; Visualization; Information science; Artificial intelligence; Psychology","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":[0.001564003,0.0001749985,0.0001718836,0.0008840965,0.0004452683,0.0003597885,0.001604373,0.00004714813,0.0001724625],"category_scores_gemma":[0.00130509,0.0001724514,0.00004480704,0.005602466,0.00253253,0.002483598,0.0004417978,0.0002043357,0.0001430931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007515899,"about_ca_system_score_gemma":0.001462972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004187781,"about_ca_topic_score_gemma":0.00002894302,"domain_scores_codex":[0.9969454,0.00004728739,0.0003435351,0.0008585217,0.001219743,0.000585491],"domain_scores_gemma":[0.9981966,0.000149711,0.00011672,0.00025864,0.001027182,0.000251154],"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":[0.00002979609,0.0006706594,0.03105812,0.00001437578,0.00001466184,0.0001025923,0.01006337,0.00001129939,0.0006865856,0.8666756,0.00002410932,0.09064884],"study_design_scores_gemma":[0.003041853,0.0008300648,0.3190937,0.0005060545,0.00006256448,0.0001036548,0.003766882,0.4720959,0.07851191,0.1197004,0.0005751717,0.001711898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1346901,0.00003628046,0.7409609,0.0002837995,0.0004893069,0.0003327893,0.0000241183,0.0001263931,0.1230563],"genre_scores_gemma":[0.9924014,0.00001554262,0.006113248,0.001039888,0.00004779038,0.00000805774,0.000005501333,0.000005601015,0.0003630324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8577112,"threshold_uncertainty_score":0.9331211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09229028274844656,"score_gpt":0.3890536577681853,"score_spread":0.2967633750197387,"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."}}