{"id":"W4394074396","doi":"10.6084/m9.figshare.14880710","title":"Additional file 1 of Development and validation of an automated emergency department-based syndromic surveillance system to enhance public health surveillance in Yukon: a lower-resourced and remote setting","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical emergency; Emergency department; Public health; Public health surveillance; Computer science; Data science; Database; Medicine; Nursing","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":[0.001214261,0.0009107271,0.0008614624,0.001741047,0.0007333006,0.001302164,0.001866834,0.001326545,0.3416209],"category_scores_gemma":[0.01117343,0.0004900043,0.001071867,0.003482969,0.0003325421,0.0008866747,0.0008736911,0.0008388874,0.05445248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671446,"about_ca_system_score_gemma":0.003399537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0543495,"about_ca_topic_score_gemma":0.0911384,"domain_scores_codex":[0.9993352,0.0001154009,0.0001295436,0.0002112602,0.0001059199,0.000102646],"domain_scores_gemma":[0.9934939,0.003387797,0.0003908429,0.000738261,0.0016876,0.0003016585],"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":[0.0001949441,0.00005225457,0.006490635,0.001402539,0.0000837732,0.00005056024,0.00004405592,0.0008448341,0.00007849617,0.0004769134,0.9874241,0.002856883],"study_design_scores_gemma":[0.003424499,0.0001607156,0.07656016,0.001831411,0.0003964852,0.0003124179,0.0005226633,0.003542224,0.001109469,0.004486661,0.9074882,0.000165116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001084619,0.000004616736,0.00003232385,0.00001895685,0.000004448988,0.0000135949,0.9996332,0.00003912201,0.0001453221],"genre_scores_gemma":[0.002116285,0.00001622521,0.000401632,0.00004601602,0.000005317899,0.0002203089,0.9963559,0.00005498192,0.0007833343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9456505,"threshold_uncertainty_score":0.9390978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112880015021712,"score_gpt":0.2977590843399773,"score_spread":0.2766302841897602,"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."}}