{"id":"W4255985466","doi":"10.5339/jemtac.2016.icepq.101","title":"Physician's perspective on point-of-care ultrasound: Experience at a tertiary care emergency department in Qatar","year":2016,"lang":"en","type":"article","venue":"Journal of emergency medicine, trauma & acute care","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Accreditation; Economic shortage; Emergency department; Point of care ultrasound; Emergency ultrasound; Medical emergency; Tertiary care; Emergency medicine; Focused assessment with sonography for trauma; Ultrasonography; Family medicine; Nursing; Medical education; Government (linguistics); Radiology","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":[0.001206786,0.0001611289,0.000183514,0.0003567883,0.001698314,0.00083915,0.0003981508,0.0008753405,0.005495007],"category_scores_gemma":[0.003684504,0.0002367472,0.0001758678,0.0004227528,0.0007182652,0.0006895149,0.0009222061,0.0007799552,0.0004909807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392004,"about_ca_system_score_gemma":0.001756092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604519,"about_ca_topic_score_gemma":0.02246319,"domain_scores_codex":[0.9985511,0.0006069837,0.00007152339,0.00008564295,0.0001525032,0.0005323013],"domain_scores_gemma":[0.9953257,0.0009256319,0.001212868,0.00004846408,0.0006387344,0.001848634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001675152,0.0005686525,0.8154051,0.0005711996,0.00003746778,0.01405685,0.1335615,0.0003395969,0.002298777,0.000326577,0.009203428,0.0234633],"study_design_scores_gemma":[0.0000293027,0.001355761,0.6965962,0.000472323,0.00002601604,0.01379803,0.2767733,0.0004285618,0.000377729,0.0001100949,0.009985861,0.00004669042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927856,0.0009474191,0.00008752431,0.004423037,0.00003968266,0.00001096313,0.00005276557,0.000004757237,0.001648416],"genre_scores_gemma":[0.9975519,0.0006586008,0.00009613657,0.001291231,0.00003329079,0.000004940101,0.00002001846,0.00000151543,0.0003423193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01604519,"threshold_uncertainty_score":0.03190356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02951033116039323,"score_gpt":0.3771449184392853,"score_spread":0.347634587278892,"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."}}