{"id":"W4367314599","doi":"10.1038/s41597-023-02104-3","title":"Network Analysis of Academic Medical Center Websites in the United States","year":2023,"lang":"en","type":"article","venue":"Scientific Data","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of Science; U.S. Department of Energy","keywords":"Centrality; Computer science; World Wide Web; Network analysis; Data science; Identification (biology); Health care; Key (lock); Web resource; Resource (disambiguation); Information retrieval; Web page; Computer security; Computer network; Political science; Engineering","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":["bibliometrics","open_science"],"consensus_categories":[],"category_scores_codex":[0.009518505,0.00007001553,0.0001556744,0.00137781,0.0001309254,0.0002437236,0.007098274,0.00006494334,0.00008393505],"category_scores_gemma":[0.001052184,0.00004618333,0.00004240461,0.03743538,0.0002514191,0.0007062284,0.002246793,0.0002487492,0.0001546654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001153393,"about_ca_system_score_gemma":0.0001028879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008818198,"about_ca_topic_score_gemma":0.0002055188,"domain_scores_codex":[0.997596,0.0001485421,0.0003953743,0.000481477,0.00104474,0.0003338688],"domain_scores_gemma":[0.996641,0.0006467564,0.00009223403,0.002485821,0.00006710346,0.00006708642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004489161,0.00009123651,0.106082,0.00002356172,0.0001031867,0.00001319707,0.001910413,0.006988735,0.000007968812,0.009485473,0.8683748,0.006914926],"study_design_scores_gemma":[0.00009259104,0.000008201653,0.04900798,0.00001502247,0.00001898564,6.424832e-7,0.0001322041,0.8379676,0.000006811878,0.001548398,0.1111416,0.00005997507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.915919,0.0002701144,0.06316316,0.01250318,0.003194526,0.0004839914,0.00282919,0.0003188503,0.001317957],"genre_scores_gemma":[0.9569788,0.0003073951,0.00307555,0.003908951,0.0001494974,0.00001030603,0.03457111,0.00001063629,0.0009877604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8309788,"threshold_uncertainty_score":0.9982738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09259889426856219,"score_gpt":0.3414616540816818,"score_spread":0.2488627598131196,"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."}}