{"id":"W6923229304","doi":"10.1371/journal.pone.0290646.s001","title":"S1 File -","year":2023,"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; Pandemic; Emergency department; Population; Confidence interval; Public health; Retrospective cohort study; Interrupted time series; Population health","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":[0.003199182,0.001217505,0.001769061,0.003717114,0.003077722,0.003149955,0.003286983,0.001527124,0.8632851],"category_scores_gemma":[0.03720717,0.001103419,0.0009083053,0.008591376,0.0006502728,0.002169319,0.001851495,0.001383052,0.3521517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005968473,"about_ca_system_score_gemma":0.01869453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4415983,"about_ca_topic_score_gemma":0.5183124,"domain_scores_codex":[0.9983774,0.00016715,0.000174353,0.0003447609,0.0005552995,0.0003809641],"domain_scores_gemma":[0.9779642,0.008435177,0.0009429969,0.001874113,0.009500223,0.001283336],"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":[0.00005224376,0.00001480827,0.0006587445,0.0004154231,0.000006258962,0.00001263446,0.00004373346,0.00006214919,0.00002038829,0.0002652935,0.9950423,0.003405964],"study_design_scores_gemma":[0.000539862,0.00003614173,0.007709067,0.001165918,0.00002906059,0.00006888833,0.0005389394,0.0003187436,0.0001807464,0.001671855,0.9876875,0.00005335475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00007083277,0.00001483984,0.00008647119,0.0001153865,0.00003599825,0.00008892277,0.9965939,0.0001976606,0.002796001],"genre_scores_gemma":[0.002584861,0.0001926192,0.001948135,0.0007476241,0.00006723287,0.001577141,0.9655514,0.0007890213,0.02654202],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4415983,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089373133278117,"score_gpt":0.3881247325116219,"score_spread":0.2791874191838101,"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."}}