{"id":"W3082046364","doi":"10.1109/beliv51497.2020.00016","title":"Data-First Visualization Design Studies","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Transferability; Process (computing); Data science; Visualization; Design process; Data visualization; Adaptation (eye); Data mining; Engineering; Machine learning; Work in process; Programming language","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0004348035,0.0002352679,0.0003295319,0.0001116862,0.0001175838,0.000572713,0.003614245,0.0001069011,0.00003244433],"category_scores_gemma":[0.0004586017,0.0002075556,0.00004121732,0.0004099938,0.00004031151,0.0005527295,0.0109114,0.0001619222,0.0002223075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004153405,"about_ca_system_score_gemma":0.0001847542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008974319,"about_ca_topic_score_gemma":0.00001782296,"domain_scores_codex":[0.997972,0.0001217541,0.0003878909,0.0009583648,0.0003914093,0.0001686177],"domain_scores_gemma":[0.9973771,0.0001243935,0.0002079653,0.001976092,0.0002114289,0.0001030325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002099769,0.00007361737,0.00003594437,0.0002964667,0.0002409644,0.0000181739,0.0008768435,0.004374826,0.000006396214,0.4252945,0.5667008,0.002079378],"study_design_scores_gemma":[0.00008742426,0.0000194125,0.00001061315,0.00006251073,0.0000317753,0.000001118785,0.00005763129,0.9228712,0.0001044884,0.01068045,0.06581166,0.0002617538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000001181491,0.0003975398,0.9935646,0.003739216,0.0006962745,0.000224219,0.00008382082,0.000586356,0.0007067609],"genre_scores_gemma":[0.02288505,0.007374973,0.9458008,0.0134582,0.0009778497,0.00005726792,0.006056242,0.00009993472,0.003289662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9184964,"threshold_uncertainty_score":0.9970881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3454013949793777,"score_gpt":0.4320852758923909,"score_spread":0.08668388091301321,"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."}}