{"id":"W6904287891","doi":"10.1371/journal.pdig.0000463.s002","title":"List and description of databases used.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Mortality rate; Cohort; Acute care; Emergency department; Cohort study; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004910886,0.00135371,0.004629672,0.01412736,0.00112473,0.003824416,0.003257477,0.002013865,0.404563],"category_scores_gemma":[0.04401313,0.0009524336,0.001663983,0.02759872,0.0004898725,0.002512543,0.001816322,0.002217593,0.1221583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003030353,"about_ca_system_score_gemma":0.01053319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695797,"about_ca_topic_score_gemma":0.02258209,"domain_scores_codex":[0.9911129,0.001680681,0.004154524,0.001570718,0.001009235,0.0004719788],"domain_scores_gemma":[0.9801691,0.008775811,0.003140461,0.001881753,0.004920026,0.001112821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005274669,0.00006348749,0.002633288,0.01689803,0.000229282,0.0001047299,0.0001563454,0.0003600636,0.0000944241,0.002385278,0.9532865,0.02326108],"study_design_scores_gemma":[0.001749014,0.000139993,0.01202372,0.01624577,0.0004161191,0.0005674968,0.0006543832,0.0007390015,0.0002062081,0.006456065,0.960667,0.0001352841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001768274,0.0006162663,0.0002896664,0.0002453807,0.0001310333,0.0008234337,0.9949066,0.0001839238,0.002626849],"genre_scores_gemma":[0.006976885,0.005212017,0.004260012,0.00288975,0.0002763375,0.01519672,0.9556866,0.0005887788,0.008912859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.404563,"threshold_uncertainty_score":0.8493186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.177052160165171,"score_gpt":0.3962233865683008,"score_spread":0.2191712264031298,"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."}}