{"id":"W6925148131","doi":"10.17605/osf.io/rvgdt","title":"Cross border analysis: Comparing Emergency Department utilization in Ontario (ON), New York (NY) State, and New Zealand (NZ)","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emergency department; Public health; Population; Census","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":[],"consensus_categories":[],"category_scores_codex":[0.0009136982,0.0003254079,0.00051218,0.001697901,0.001068473,0.001088096,0.0009931547,0.0006312961,0.002974088],"category_scores_gemma":[0.004598449,0.0002559713,0.001187809,0.004140768,0.0008544608,0.0007112747,0.001458137,0.0008174272,0.000185362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008973662,"about_ca_system_score_gemma":0.00935581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.938863,"about_ca_topic_score_gemma":0.965275,"domain_scores_codex":[0.9986184,0.0002316772,0.0001349021,0.000223616,0.0002733281,0.0005181435],"domain_scores_gemma":[0.9951394,0.0008020849,0.001650271,0.0002041274,0.001093279,0.001110814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003323397,0.00003623123,0.9957203,0.00003601138,0.0002680153,0.00008034241,0.0008810069,0.0001671932,0.0001518579,0.0001196233,0.0008032154,0.001403935],"study_design_scores_gemma":[0.00001319502,0.00003818411,0.9969251,0.00002007819,0.00005816331,0.00003058241,0.002313594,0.0002105109,0.0000241375,0.00001488415,0.0003458827,0.000005729787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950984,0.0002115316,0.0001007353,0.0001522733,0.00001143059,0.00002982622,0.003323815,0.000005584772,0.001066396],"genre_scores_gemma":[0.9964056,0.0001284376,0.0001235873,0.00007012099,0.000006754124,0.00003325857,0.002674703,0.000008113533,0.0005495077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06113696,"threshold_uncertainty_score":0.1229939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04882906806551719,"score_gpt":0.3061775192479105,"score_spread":0.2573484511823934,"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."}}