{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002422541,0.000336056,0.0004767676,0.0001560212,0.000175185,0.0001516321,0.0001405844,0.0001302832,0.0003371244],"category_scores_gemma":[0.0003198016,0.0002461203,0.0001463638,0.0002151504,0.0003463912,0.0002989114,0.00003031982,0.0002642673,0.0002343831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001280395,"about_ca_system_score_gemma":0.0001825678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009373299,"about_ca_topic_score_gemma":0.00003030377,"domain_scores_codex":[0.9978204,0.00003856048,0.0004265432,0.0004151684,0.0008083937,0.0004908767],"domain_scores_gemma":[0.998415,0.0001931598,0.0001485693,0.0005819674,0.000269844,0.0003914656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002663006,0.001424499,0.7461126,0.0009391003,0.002293741,0.0004633396,0.09007162,0.00003499275,0.01251963,0.02217304,0.1116383,0.009666105],"study_design_scores_gemma":[0.02386445,0.01414093,0.219234,0.002591276,0.003961027,0.0126909,0.1651905,0.00007874448,0.245943,0.1211414,0.1864612,0.004702581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8971259,0.0008852393,0.001648455,0.0001479077,0.000184072,0.0006281451,0.00005186973,0.0002186856,0.09910975],"genre_scores_gemma":[0.9911622,0.00004585909,0.006132678,0.0009463957,0.0001879244,0.00004217549,0.000100348,0.0000619883,0.001320418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5268786,"threshold_uncertainty_score":0.9999991,"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."}}