{"id":"W2623977345","doi":"","title":"Creating a Framework for Testing Wellness Visualization Systems","year":2011,"lang":"en","type":"article","venue":"International Conference on eHealth, Telemedicine, and Social Medicine","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Visualization; Computer science; System testing; Human–computer interaction; Software engineering; Artificial intelligence","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":[0.0007562968,0.0001878316,0.0003266646,0.0002337019,0.0003816402,0.00007899308,0.0005117569,0.0001171935,0.00007114621],"category_scores_gemma":[0.001083627,0.0001548024,0.00002634048,0.0003127381,0.0001642438,0.000237325,0.00005713843,0.0001723702,0.000005286307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005644154,"about_ca_system_score_gemma":0.0001394679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003301462,"about_ca_topic_score_gemma":0.00001553751,"domain_scores_codex":[0.9981322,0.00008577127,0.0005621561,0.0004015844,0.0005433729,0.0002748647],"domain_scores_gemma":[0.9982433,0.0004528027,0.0003595154,0.0001699687,0.0006257162,0.0001486647],"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":[0.00002074192,0.00004925944,0.0007079542,0.00009173892,0.00002235116,0.000003706796,0.006551161,0.000001191093,0.0000268959,0.972481,0.0006293874,0.01941465],"study_design_scores_gemma":[0.003764155,0.00233117,0.005178092,0.002327209,0.00008674963,0.00004165305,0.0158697,0.7856949,0.00008758311,0.1665676,0.01730119,0.0007499519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001403278,0.00005244042,0.9701431,0.005475095,0.001751282,0.000376264,0.00001934164,0.0001552058,0.02062399],"genre_scores_gemma":[0.9854137,0.0001304188,0.009174611,0.003148359,0.00163939,0.00005521509,0.0001087709,0.00001899901,0.0003105454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9840104,"threshold_uncertainty_score":0.6312658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1484159885317835,"score_gpt":0.399964311487551,"score_spread":0.2515483229557675,"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."}}