{"id":"W2977259384","doi":"","title":"The impact of transport of critically ill pediatric patients on rural emergency departments in Manitoba.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Children's Hospital of Winnipeg","funders":"","keywords":"Staffing; Critically ill; Medicine; Population; Tertiary care; Rural area; Rural population; Catchment area; Emergency medicine; Medical emergency; Nursing; Geography; Drainage basin; Environmental health; Intensive care medicine; Cartography","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":[0.0006036608,0.0002653188,0.000105339,0.0004318248,0.0009892216,0.0006428928,0.0004913641,0.0002139973,0.001570025],"category_scores_gemma":[0.002592836,0.0001713077,0.0001648504,0.0007655895,0.0005721241,0.0003796109,0.0009765411,0.0005169373,0.0001301427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00549717,"about_ca_system_score_gemma":0.009594374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5621191,"about_ca_topic_score_gemma":0.7117033,"domain_scores_codex":[0.9995671,0.0001545351,0.00002020605,0.00003139107,0.00007016137,0.0001564768],"domain_scores_gemma":[0.9981342,0.0002641025,0.0006684511,0.0000359972,0.0004097891,0.0004874903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000628356,0.00009161919,0.9904642,0.0001134057,0.00002795379,0.0003687362,0.002621569,0.0001498551,0.0005473027,0.0000794171,0.0004373591,0.005035816],"study_design_scores_gemma":[0.000004504114,0.0001024242,0.9906331,0.00006107584,0.0000111411,0.0001278621,0.008274547,0.00008875413,0.00007515273,0.00001490648,0.0006030436,0.000003393165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998298,0.000234922,0.00003684544,0.0004783923,0.000006469521,0.00001917468,0.000204748,0.000002440039,0.0007190733],"genre_scores_gemma":[0.9987144,0.0005236418,0.0001107101,0.0001838818,0.000006584226,0.00002079613,0.0001577146,0.000001300435,0.0002810119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4378809,"threshold_uncertainty_score":0.8809193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816990413993536,"score_gpt":0.2942963804406163,"score_spread":0.2661264763006809,"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."}}