{"id":"W3042318688","doi":"10.1111/cgf.13968","title":"Ocupado: Visualizing Location‐Based Counts Over Time Across Buildings","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Task (project management); Set (abstract data type); Space (punctuation); Visualization; Resource (disambiguation); Stakeholder; Data science; Artificial intelligence; Systems engineering","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":[0.000135398,0.0001398737,0.000144073,0.00007704173,0.0001569228,0.000365884,0.0008160634,0.00006278234,0.00003661895],"category_scores_gemma":[0.00001945418,0.000142569,0.00007478841,0.001052083,0.00005378015,0.0003646733,0.0003511498,0.0001094251,0.000434376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001453242,"about_ca_system_score_gemma":0.00005554682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002717482,"about_ca_topic_score_gemma":6.70843e-7,"domain_scores_codex":[0.9988282,0.00002821691,0.0002117018,0.0003522326,0.0002956693,0.0002839714],"domain_scores_gemma":[0.9992412,0.00004097941,0.00009021089,0.0003514144,0.0001382994,0.0001378775],"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":[0.000005161535,0.0001002999,0.003317603,0.00007260103,0.00004801133,0.00001629023,0.0005543079,0.0003847901,0.00009847477,0.673526,0.3087439,0.01313258],"study_design_scores_gemma":[0.0002093761,0.00003760876,0.0002460379,0.00002018336,0.000003482603,0.000001117526,0.000002683631,0.8224728,0.0001247398,0.000582316,0.1761392,0.0001604537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004955211,0.00004126192,0.9965479,0.001948462,0.0002821013,0.00007344489,0.0000163466,0.0003019947,0.0002929592],"genre_scores_gemma":[0.817983,0.00003826176,0.07200929,0.1085185,0.0006609311,0.00001014793,0.0002625525,0.00008254412,0.0004347001],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9245386,"threshold_uncertainty_score":0.5813794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352489385276927,"score_gpt":0.3046954082164624,"score_spread":0.2811705143636931,"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."}}