{"id":"W3135188910","doi":"10.2196/20721","title":"Applying Website Rankings to Digital Health Centers in the United States to Assess Public Engagement: Website Usability Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Web usability; World Wide Web; System usability scale; The Internet; Pluralistic walkthrough; Health information technology; Quality (philosophy); Digital health; Sample (material); Usability lab; Computer science; Health care; Usability engineering; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01761779,0.000371963,0.0004763101,0.004983163,0.001571468,0.002266218,0.0008527605,0.0008432965,0.001405972],"category_scores_gemma":[0.05005811,0.0004239716,0.0008240906,0.004141666,0.001218696,0.001918509,0.002975259,0.001364363,0.0003269594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00347027,"about_ca_system_score_gemma":0.002908217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01586353,"about_ca_topic_score_gemma":0.0253128,"domain_scores_codex":[0.989395,0.005410724,0.00112859,0.0008012336,0.002464186,0.0008002241],"domain_scores_gemma":[0.9317952,0.03175905,0.01164726,0.003082888,0.01815663,0.003558952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001807012,0.00148777,0.9666314,0.0001140807,0.00008235133,0.00009969226,0.007992623,0.0003370183,0.0003449394,0.0001796149,0.001267251,0.02128272],"study_design_scores_gemma":[0.00003006601,0.0007221477,0.985493,0.00003650012,0.00002865044,0.00006818151,0.009943339,0.001645597,0.0004546327,0.00008556021,0.001467248,0.00002505283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972962,0.00003637887,0.0005374841,0.00008381096,0.000007707413,0.0002530879,0.0002599408,0.00002351452,0.001501932],"genre_scores_gemma":[0.9967378,0.00004267295,0.001580075,0.0001090576,0.00000966783,0.0006377496,0.0004756328,0.00001814559,0.0003892825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761779,"threshold_uncertainty_score":0.09317291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1950742595066317,"score_gpt":0.4883355106692741,"score_spread":0.2932612511626423,"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."}}