{"id":"W169229097","doi":"","title":"Repeatable Experimental Framework for Wellness Indicator Testing/Evaluation: Environmental Setup","year":2012,"lang":"en","type":"article","venue":"International Conference on eHealth, Telemedicine, and Social Medicine","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Visualization; Computer science; Session (web analytics); System testing; Test strategy; Data science; Software engineering; Data mining; World Wide Web; Software","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":[0.03005074,0.002272274,0.001056999,0.001838949,0.00241106,0.002965291,0.004199445,0.002618347,0.01241463],"category_scores_gemma":[0.04458135,0.001149232,0.001202785,0.001048552,0.002389466,0.002498636,0.004012676,0.002195991,0.002261056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928039,"about_ca_system_score_gemma":0.003342518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301292,"about_ca_topic_score_gemma":0.001784201,"domain_scores_codex":[0.952377,0.03108643,0.003234723,0.004012608,0.008053295,0.001235937],"domain_scores_gemma":[0.9552445,0.01952149,0.00348947,0.01190061,0.008608649,0.001235231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01017909,0.03150922,0.01875371,0.007158715,0.0007534872,0.0007799243,0.008158324,0.03458083,0.3954944,0.05564819,0.009543715,0.4274404],"study_design_scores_gemma":[0.005949679,0.1282517,0.06805249,0.002278311,0.001259156,0.001466635,0.005348293,0.07380407,0.5112053,0.05881327,0.1417379,0.001833148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07228326,0.0003590025,0.8737001,0.0003625301,0.0004122055,0.03664215,0.00127697,0.002917856,0.01204581],"genre_scores_gemma":[0.1659419,0.0002654065,0.7487025,0.0004742932,0.0001062154,0.07950477,0.0007521023,0.0005564106,0.00369643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03005074,"threshold_uncertainty_score":0.1589254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420771471047329,"score_gpt":0.3868880721926132,"score_spread":0.2448109250878804,"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."}}