{"id":"W6907517467","doi":"10.2312/evs.20221088","title":"SSCA: Situated Space-time Cube Analytics","year":2022,"lang":"en","type":"article","venue":"Eurographics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia; University of Manitoba","funders":"","keywords":"Situated; Visualization; Cube (algebra); Data visualization; Domain (mathematical analysis); Analytics; Visual analytics","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":[0.0004073618,0.0001381048,0.0001510071,0.0003641699,0.0003976348,0.0002152498,0.001157029,0.00002696388,0.0002237495],"category_scores_gemma":[0.00005311994,0.000149802,0.0001140027,0.003310587,0.0000585643,0.0002517451,0.0007998543,0.0002467852,0.0001318048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002252356,"about_ca_system_score_gemma":0.00006597406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005871499,"about_ca_topic_score_gemma":0.000002186699,"domain_scores_codex":[0.9983981,0.0001551209,0.0002291789,0.0003637401,0.0005677006,0.0002862168],"domain_scores_gemma":[0.9989015,0.00005871689,0.0001106369,0.0007068922,0.00009292848,0.0001292602],"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":[0.000008337811,0.0006418427,0.006054238,0.0000184414,0.0001579208,0.0002123097,0.0008783507,0.004714442,0.0005809083,0.8462307,0.1351993,0.005303216],"study_design_scores_gemma":[0.000305736,0.0001458442,0.0007696762,0.000003120363,0.0000249147,0.00002676615,0.00005748388,0.5512118,0.0000729057,0.002113285,0.4449878,0.0002806867],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02192389,0.0004771524,0.9372998,0.01070746,0.001767132,0.0005065229,0.0002000201,0.002494081,0.0246239],"genre_scores_gemma":[0.9587714,0.0002336941,0.02266353,0.008380082,0.0001958824,0.00002416067,0.000464647,0.00008297576,0.009183588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9368476,"threshold_uncertainty_score":0.6108748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01905184739104527,"score_gpt":0.2591364248455776,"score_spread":0.2400845774545323,"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."}}