{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001235539,0.000931151,0.0005299339,0.001764126,0.0005663567,0.0022127,0.001011086,0.0005360648,0.006022303],"category_scores_gemma":[0.006025426,0.0003785857,0.0005203206,0.001542934,0.0004602664,0.00160155,0.002614487,0.001050825,0.0007179162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006063588,"about_ca_system_score_gemma":0.0008822953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038602,"about_ca_topic_score_gemma":0.01903479,"domain_scores_codex":[0.9993225,0.0002217709,0.00003856841,0.0001355517,0.0002202771,0.00006124473],"domain_scores_gemma":[0.9962837,0.00189171,0.0002485155,0.0006241638,0.0006596842,0.0002924074],"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":[0.003335811,0.0008418232,0.04663914,0.003330354,0.0003336562,0.001464705,0.02149867,0.1322321,0.06832807,0.04104747,0.1610699,0.5198783],"study_design_scores_gemma":[0.0004290414,0.0006351294,0.05837125,0.0007792064,0.0001711659,0.0006115455,0.008414102,0.62396,0.0417973,0.03320081,0.2312018,0.0004286623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3544914,0.0009972707,0.5194493,0.002295248,0.0003571585,0.0009325244,0.04382012,0.04799811,0.02965893],"genre_scores_gemma":[0.6586718,0.0004029935,0.3200141,0.0002204241,0.00004473044,0.0008133389,0.01331832,0.002504797,0.004009563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01038602,"threshold_uncertainty_score":0.02065116,"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."}}