{"id":"W4236531513","doi":"10.3138/cart.51.1.3176","title":"How Do Display Design and User Characteristics Matter in Animations? An Empirical Study with Air Traffic Control Displays","year":2016,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Animation; Computer science; Human–computer interaction; Task (project management); Empirical research; Control (management); Domain (mathematical analysis); Computer animation; Multimedia; Artificial intelligence; Computer graphics (images); Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000612838,0.0001837616,0.0001588832,0.0006317011,0.000228355,0.0005632766,0.0001507822,0.0000808358,0.00001398648],"category_scores_gemma":[0.00005859953,0.0001107116,0.00004882962,0.0003034156,0.00009468633,0.001885835,0.00001341916,0.0001353686,0.000001802624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000285936,"about_ca_system_score_gemma":0.00001833406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003443455,"about_ca_topic_score_gemma":0.00003827433,"domain_scores_codex":[0.9988005,0.000103664,0.0004348825,0.0001251782,0.000358303,0.0001774492],"domain_scores_gemma":[0.9989822,0.0001737271,0.0001756307,0.00009979089,0.0004681547,0.0001004768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001748421,0.000332475,0.9191142,0.00008272642,0.0005436801,0.000008918613,0.005767524,0.007288573,0.0004423189,0.003028605,0.0009805536,0.06066198],"study_design_scores_gemma":[0.007877936,0.0009405346,0.8657192,0.000213396,0.0001482736,0.0002202085,0.002377966,0.113723,0.00005877727,0.0006656194,0.007530359,0.0005247731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7241702,0.00002771809,0.2733776,0.001452871,0.0002307734,0.0006377595,0.00004820878,0.00004655806,0.000008250303],"genre_scores_gemma":[0.9987566,0.0002215701,0.0002012358,0.0004850237,0.00008950909,0.0001260604,0.00009518937,0.0000170849,0.000007712693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2745864,"threshold_uncertainty_score":0.5431689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009341098226619967,"score_gpt":0.2606375386632092,"score_spread":0.2512964404365892,"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."}}