{"id":"W2624014580","doi":"10.1145/3064857.3079152","title":"ReflectiveHUD","year":2017,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates - Technology Futures","keywords":"Undo; Computer science; Representation (politics); Visualization; Human–computer interaction; Nonlinear system; Data visualization; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001707804,0.001095347,0.0004254952,0.0006076955,0.0006669,0.003013674,0.001903167,0.0009820627,0.03069682],"category_scores_gemma":[0.006067196,0.0005385702,0.0008260895,0.0004025192,0.0009477852,0.003482101,0.003690759,0.00139572,0.006277846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004325853,"about_ca_system_score_gemma":0.0008235768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009378372,"about_ca_topic_score_gemma":0.001793881,"domain_scores_codex":[0.9984749,0.0005515224,0.00009404837,0.0002868706,0.000444238,0.0001485032],"domain_scores_gemma":[0.9973443,0.001122901,0.0001280627,0.0008785744,0.0002602069,0.0002659407],"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":[0.00144956,0.0007736081,0.004492439,0.003574895,0.0001281274,0.001329627,0.02690259,0.01124816,0.06019246,0.1263265,0.1160282,0.6475539],"study_design_scores_gemma":[0.0001818961,0.0004446806,0.001555344,0.0004015295,0.00007073615,0.001067624,0.002258741,0.02795829,0.02585295,0.03200961,0.9080555,0.0001431685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01986656,0.0008375145,0.8888441,0.0008439166,0.0003544778,0.0007633558,0.001723312,0.0258442,0.06092264],"genre_scores_gemma":[0.2089502,0.0008087848,0.7324858,0.001013055,0.00009758108,0.001565932,0.00290682,0.005645375,0.04652644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03069682,"threshold_uncertainty_score":0.1026911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05940995708620796,"score_gpt":0.38578451855666,"score_spread":0.3263745614704521,"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."}}