{"id":"W2777621087","doi":"10.1186/s13104-017-3071-1","title":"Lack of CT scanner in a rural emergency department increases inter-facility transfers: a pilot study","year":2017,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôtel-Dieu de Québec; Université Laval","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Emergency department; Referral; Computed tomography; Scanner; Emergency medicine; Medical emergency; Rural area; Family medicine; Radiology; Nursing; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001499316,0.0001776906,0.0004809104,0.0002422872,0.0002784398,0.00002056917,0.0003320288,0.00002155564,0.0004617053],"category_scores_gemma":[0.002925951,0.0001360834,0.000120912,0.0002073099,0.0003434492,0.0001396806,0.0002113273,0.000300049,0.00004416893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008800397,"about_ca_system_score_gemma":0.000171247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02861157,"about_ca_topic_score_gemma":0.05694822,"domain_scores_codex":[0.9975243,0.0003446017,0.0004967797,0.0003420231,0.0007605468,0.0005317614],"domain_scores_gemma":[0.9983727,0.0002182906,0.0000499163,0.0008146923,0.0003780726,0.0001662852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001656702,0.003122015,0.9838703,0.0002929844,0.0001231763,0.00005813139,0.0009831069,0.000001078131,0.00158314,0.0000214972,0.0007309251,0.007556983],"study_design_scores_gemma":[0.002214399,0.005535727,0.9862576,0.0001527363,0.00003849453,0.000003720633,0.003776045,0.00001407399,0.001600388,0.0001446434,0.0001420217,0.0001201729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952036,0.0005545409,0.00001637101,0.0004392729,0.0001390605,0.001299978,0.00008342557,0.00002405435,0.002239696],"genre_scores_gemma":[0.999101,0.0003139198,0.0000450597,0.00000484602,0.0000820682,0.0002106643,0.00001224819,0.00001261256,0.0002175775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02833665,"threshold_uncertainty_score":0.977857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.401382263068963,"score_gpt":0.493081540341856,"score_spread":0.09169927727289295,"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."}}