{"id":"W2111542941","doi":"10.2214/ajr.180.1.1800047","title":"Exploring and Summarizing Radiologic Data","year":2003,"lang":"en","type":"article","venue":"American Journal of Roentgenology","topic":"Radiology practices and education","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Medicine; Medical physics; MEDLINE; Radiology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005603738,0.00007068831,0.0003254844,0.000132885,0.00004541831,0.000006019359,0.0001160235,0.00002332753,0.00003146784],"category_scores_gemma":[0.0007037561,0.00005476919,0.00002648772,0.0001211349,0.000250139,0.0002614426,0.00002930536,0.0002507401,0.000003965483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003070228,"about_ca_system_score_gemma":0.0001084556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002116106,"about_ca_topic_score_gemma":0.000001555222,"domain_scores_codex":[0.9991838,0.0001746692,0.0002622346,0.0001371821,0.00006295385,0.0001791628],"domain_scores_gemma":[0.9990234,0.0001638444,0.0003854439,0.0002545016,0.00006310138,0.000109646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006489448,0.0002370974,0.6803417,0.00002769445,0.0007089984,0.0004052235,0.001618381,0.00002862415,0.008864387,0.00146088,0.002106744,0.3035513],"study_design_scores_gemma":[0.003505193,0.01153244,0.5291719,0.0001070397,0.001073005,0.08227305,0.02911508,0.0001231457,0.0009540059,0.0006530294,0.3411135,0.0003786092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935865,0.001904235,0.0003898144,0.003164938,0.0004249493,0.00003904562,6.57773e-7,0.000005512175,0.0004843612],"genre_scores_gemma":[0.9848334,0.005337135,0.009135926,0.0005013055,0.0001544853,0.000001031861,0.000003244473,0.000007440674,0.00002599344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3390068,"threshold_uncertainty_score":0.2233423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2913003058925791,"score_gpt":0.3561394611069557,"score_spread":0.06483915521437661,"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."}}