{"id":"W4401631929","doi":"10.22215/etd/2024-16149","title":"Health Data Visualizations for Interactive Tabletops","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fidelity; Set (abstract data type); Human–computer interaction; Computer science; Interface (matter); Multimedia","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":[0.001470904,0.0008312854,0.0003976552,0.0008783595,0.0005077408,0.002939665,0.0008526341,0.001032639,0.03155484],"category_scores_gemma":[0.008816504,0.0003888962,0.0007466275,0.0009004711,0.0004451452,0.001515214,0.00292243,0.00103444,0.002923188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003308182,"about_ca_system_score_gemma":0.0004941782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007027006,"about_ca_topic_score_gemma":0.001101601,"domain_scores_codex":[0.9991277,0.0004227626,0.00006988637,0.0001122608,0.0002139959,0.00005332675],"domain_scores_gemma":[0.993036,0.005584926,0.0002080832,0.0005898703,0.0003828277,0.0001982329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003173051,0.0004593356,0.00583884,0.005623666,0.0001674877,0.003489225,0.01775365,0.01157891,0.06274597,0.03065483,0.1301361,0.728379],"study_design_scores_gemma":[0.001234542,0.001757961,0.02169105,0.003326974,0.0002795099,0.004383815,0.006305548,0.06727268,0.04387634,0.03781687,0.8116125,0.0004422415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1261526,0.007217461,0.7254636,0.01002907,0.001740946,0.002681265,0.01281213,0.02910618,0.0847967],"genre_scores_gemma":[0.3950658,0.003714004,0.5747058,0.001598389,0.0004306849,0.001871516,0.004078508,0.001556416,0.01697891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03155484,"threshold_uncertainty_score":0.1055615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06300696602912097,"score_gpt":0.4003392950109418,"score_spread":0.3373323289818208,"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."}}