{"id":"W4387005513","doi":"10.1109/icmiii58949.2023.00006","title":"Mobile Application System for Online Surveys and Questionnaires","year":2023,"lang":"en","type":"article","venue":"","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bottleneck; Computer science; Pandemic; Context (archaeology); The Internet; Face (sociological concept); Data science; Coronavirus disease 2019 (COVID-19); Quality (philosophy); World Wide Web; Humanity; Internet privacy; Geography; Political science; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003928003,0.001578704,0.001814523,0.003007354,0.000744634,0.001634476,0.001543843,0.001958392,0.3050424],"category_scores_gemma":[0.01147523,0.0006304705,0.0006933556,0.002092977,0.000366023,0.002348343,0.003251743,0.001658473,0.2161522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005152293,"about_ca_system_score_gemma":0.001316885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006926905,"about_ca_topic_score_gemma":0.000683124,"domain_scores_codex":[0.9980598,0.0008630508,0.0002515778,0.0002582506,0.0003614645,0.0002059283],"domain_scores_gemma":[0.992021,0.004200977,0.0005391608,0.0009455467,0.001447261,0.0008460385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001910003,0.0006010385,0.002407624,0.001367924,0.0000919851,0.0002615649,0.000393994,0.0002945666,0.004783319,0.004559733,0.6272445,0.3560838],"study_design_scores_gemma":[0.002323463,0.001401894,0.02428453,0.0006507262,0.0001194569,0.0004727982,0.0002573618,0.006956928,0.004843539,0.007829978,0.9506084,0.0002508425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01928529,0.001819161,0.2002251,0.004741448,0.003208532,0.03034175,0.1809798,0.3892031,0.1701958],"genre_scores_gemma":[0.111139,0.002695497,0.2735422,0.007291862,0.003150461,0.1153223,0.1161996,0.0199013,0.3507578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3050424,"threshold_uncertainty_score":0.9912727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06053394752870447,"score_gpt":0.4597325627246382,"score_spread":0.3991986151959338,"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."}}