{"id":"W2171406751","doi":"10.1177/1742271x15579950","title":"My patient is injured: identifying foreign bodies with ultrasound","year":2015,"lang":"en","type":"article","venue":"Ultrasound","topic":"Traumatic Ocular and Foreign Body Injuries","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Horizon Health Network; Memorial University of Newfoundland; Saint John Regional Hospital; Dalhousie University","funders":"","keywords":"Medicine; Foreign body; Foreign Bodies; Foreign Body Removal; Emergency department; Ultrasound; Radiodensity; Radiography; Radiology; Medical emergency; Surgery; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004836674,0.001026583,0.0007776801,0.001598277,0.001746224,0.001586982,0.000726725,0.004073388,0.002693335],"category_scores_gemma":[0.003836441,0.0005264673,0.0006586482,0.001224341,0.001447052,0.002593903,0.001365449,0.00356655,0.001337722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008541921,"about_ca_system_score_gemma":0.0008167428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002103545,"about_ca_topic_score_gemma":0.003245866,"domain_scores_codex":[0.9994079,0.0001464147,0.00006581831,0.00008194376,0.0001624245,0.0001356435],"domain_scores_gemma":[0.9993875,0.0002222038,0.0001600658,0.00002766834,0.00006597589,0.0001364503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004307823,0.00007120072,0.0145638,0.0001304623,0.00001377527,0.9629253,0.001442093,0.0001635378,0.001462309,0.0004906047,0.004881214,0.01381269],"study_design_scores_gemma":[0.000003663048,0.00007123715,0.003257332,0.0001596726,0.000009404745,0.990397,0.001341461,0.0001507115,0.0003363385,0.0005911076,0.003666384,0.00001572219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6720847,0.04476492,0.02299261,0.1140808,0.004594017,0.0007991272,0.0004703203,0.0009212135,0.1392922],"genre_scores_gemma":[0.9222849,0.02654788,0.01262443,0.02401558,0.004389634,0.00008425454,0.0001586157,0.0001230621,0.00977161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004073388,"threshold_uncertainty_score":0.009010077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213149761073714,"score_gpt":0.2782842893687283,"score_spread":0.2461527917579912,"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."}}