{"id":"W3025704459","doi":"","title":"Characterizing high-frequency emergency department users in a rural northwestern Ontario hospital: a 5-year analysis of volume, frequency and acuity of visits.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Assembly of First Nations","funders":"","keywords":"Emergency department; Medicine; Medical emergency; Workload; Population; Emergency medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006406811,0.0002140346,0.0002430305,0.001080913,0.0007926036,0.0007849528,0.0006326631,0.000383518,0.001257091],"category_scores_gemma":[0.002192955,0.0003027104,0.0003585269,0.002342848,0.0004622893,0.0005981646,0.0009017753,0.000435433,0.0001735164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003952104,"about_ca_system_score_gemma":0.00348914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4157359,"about_ca_topic_score_gemma":0.612563,"domain_scores_codex":[0.9993369,0.00007827637,0.00008524513,0.00008074835,0.0002075625,0.0002112423],"domain_scores_gemma":[0.9971395,0.0002110779,0.001635293,0.00006200111,0.0003910046,0.0005612735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002054795,0.000009607864,0.9991548,0.00001061205,0.000009987406,0.00004685347,0.0002977397,0.000008653763,0.00004114259,0.000003481743,0.00009529673,0.0003012737],"study_design_scores_gemma":[0.00000103487,0.00001621525,0.9988825,0.000007350704,0.000002829199,0.00003382068,0.000934842,0.00003053507,0.000006056699,0.000001910174,0.00008123241,0.00000169505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985808,0.0001481984,0.00002658706,0.00008087353,0.000001920075,0.00002092654,0.0008451506,0.000002145136,0.0002934631],"genre_scores_gemma":[0.9988993,0.000153502,0.000054742,0.00003420186,0.000003920965,0.0000194571,0.0006936376,0.000001326775,0.0001397658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.584264,"threshold_uncertainty_score":0.8266321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264870800523307,"score_gpt":0.2377247776043326,"score_spread":0.2250760695990995,"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."}}