{"id":"W4404905614","doi":"10.32920/27940836.v1","title":"Website usability analysis of United States emergency medicine residencies","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Usability; World Wide Web; Library science; Medical education; Medicine; Computer science; Operating system","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":[0.00588057,0.0003195136,0.0005064365,0.005546602,0.0006028426,0.001415978,0.0004945341,0.000493834,0.001777483],"category_scores_gemma":[0.02583165,0.000245993,0.00129975,0.003357076,0.0005570066,0.0009304917,0.000959591,0.0005079117,0.0003551807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009403998,"about_ca_system_score_gemma":0.000792427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004904489,"about_ca_topic_score_gemma":0.006847084,"domain_scores_codex":[0.9960701,0.001402691,0.0008346301,0.0003243311,0.001121122,0.000247055],"domain_scores_gemma":[0.9698992,0.01461295,0.004569296,0.001023164,0.008700203,0.001195049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004511068,0.0007322857,0.9588705,0.0003955704,0.0002657865,0.000209403,0.005096574,0.0004885689,0.001355664,0.00008868921,0.0009493568,0.03109646],"study_design_scores_gemma":[0.000007467346,0.0003124443,0.9952837,0.00003256092,0.00003700236,0.00009565935,0.002663151,0.000852483,0.0003642002,0.00001964103,0.0003190768,0.00001275054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984201,0.00006293245,0.0002535617,0.00002562859,0.000004873682,0.00007639865,0.0003674118,0.00001893854,0.0007701577],"genre_scores_gemma":[0.9977596,0.00006480636,0.0007693528,0.00002747795,0.000007243616,0.0001970763,0.0008573285,0.00001380386,0.0003033116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00588057,"threshold_uncertainty_score":0.0310998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05041486701453166,"score_gpt":0.324971495120531,"score_spread":0.2745566281059993,"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."}}